Varname mangling for value-based conditional req.
RE:#1503
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9f4afe8536
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@ -92,7 +92,7 @@ MODEL_SPEC = {
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'type': 'number',
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'units': u.meter,
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'required':
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f'search_radius_mode == "{RADIUS_OPT_URBAN_NATURE}"',
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f'search_radius_mode.value == "{RADIUS_OPT_URBAN_NATURE}"',
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'expression': 'value >= 0',
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'about': (
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'The distance within which a LULC type is relevant '
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@ -125,7 +125,7 @@ MODEL_SPEC = {
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"pop_[POP_GROUP]": {
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"type": "ratio",
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"required": (
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f"(search_radius_mode == '{RADIUS_OPT_POP_GROUP}') "
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f"(search_radius_mode.value == '{RADIUS_OPT_POP_GROUP}') "
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"or aggregate_by_pop_group"),
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"about": gettext(
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"The proportion of the population within each "
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@ -248,7 +248,7 @@ MODEL_SPEC = {
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'name': 'uniform search radius',
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'units': u.m,
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'expression': 'value > 0',
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'required': f'search_radius_mode == "{RADIUS_OPT_UNIFORM}"',
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'required': f'search_radius_mode.value == "{RADIUS_OPT_UNIFORM}"',
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'about': gettext(
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'The search radius to use when running the model under a '
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'uniform search radius. Required when running the model '
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@ -257,7 +257,7 @@ MODEL_SPEC = {
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'population_group_radii_table': {
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'name': 'population group radii table',
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'type': 'csv',
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'required': f'search_radius_mode == "{RADIUS_OPT_POP_GROUP}"',
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'required': f'search_radius_mode.value == "{RADIUS_OPT_POP_GROUP}"',
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'index_col': 'pop_group',
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'columns': {
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"pop_group": {
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@ -273,7 +273,7 @@ MODEL_SPEC = {
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'type': 'number',
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'units': u.meter,
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'required':
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f'search_radius_mode == "{RADIUS_OPT_POP_GROUP}"',
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f'search_radius_mode.value == "{RADIUS_OPT_POP_GROUP}"',
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'expression': 'value >= 0',
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'about': gettext(
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"The search radius in meters to use "
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@ -379,7 +379,7 @@ MODEL_SPEC = {
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"group POP_GROUP within this administrative "
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"unit."),
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"created_if": (
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f"(search_radius_mode == '{RADIUS_OPT_POP_GROUP}') "
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f"(search_radius_mode.value == '{RADIUS_OPT_POP_GROUP}') "
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"or aggregate_by_pop_group"),
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},
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"Pund_adm_[POP_GROUP]": {
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@ -391,7 +391,7 @@ MODEL_SPEC = {
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"administrative unit that are undersupplied "
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"with urban nature."),
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"created_if": (
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f"(search_radius_mode == '{RADIUS_OPT_POP_GROUP}') "
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f"(search_radius_mode.value == '{RADIUS_OPT_POP_GROUP}') "
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"or aggregate_by_pop_group"),
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},
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"Povr_adm_[POP_GROUP]": {
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@ -403,7 +403,7 @@ MODEL_SPEC = {
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"administrative unit that is oversupplied "
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"with urban nature."),
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"created_if": (
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f"(search_radius_mode == '{RADIUS_OPT_POP_GROUP}') "
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f"(search_radius_mode.value == '{RADIUS_OPT_POP_GROUP}') "
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"or aggregate_by_pop_group"),
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},
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},
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@ -418,7 +418,7 @@ MODEL_SPEC = {
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"to the stated urban nature demand."),
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"bands": {1: {"type": "number", "units": u.m**2/u.person}},
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"created_if":
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f"search_radius_mode == '{RADIUS_OPT_POP_GROUP}'",
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f"search_radius_mode.value == '{RADIUS_OPT_POP_GROUP}'",
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},
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# when RADIUS_OPT_UNIFORM
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@ -428,7 +428,7 @@ MODEL_SPEC = {
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"radius, weighted by the selected decay function."),
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"bands": {1: {"type": "number", "units": u.m**2}},
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"created_if":
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f"search_radius_mode == '{RADIUS_OPT_URBAN_NATURE}'",
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f"search_radius_mode.value == '{RADIUS_OPT_URBAN_NATURE}'",
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},
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# When RADIUS_OPT_URBAN_NATURE
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@ -439,7 +439,7 @@ MODEL_SPEC = {
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"by the selected decay function."),
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"bands": {1: {"type": "number", "units": u.m**2}},
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"created_if":
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f"search_radius_mode == '{RADIUS_OPT_URBAN_NATURE}'",
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f"search_radius_mode.value == '{RADIUS_OPT_URBAN_NATURE}'",
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},
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# When RADIUS_OPT_POP_GROUP
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@ -450,7 +450,7 @@ MODEL_SPEC = {
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"selected decay function."),
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"bands": {1: {"type": "number", "units": u.m**2}},
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"created_if":
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f"search_radius_mode == '{RADIUS_OPT_POP_GROUP}'",
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f"search_radius_mode.value == '{RADIUS_OPT_POP_GROUP}'",
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},
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},
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},
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@ -492,8 +492,8 @@ MODEL_SPEC = {
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"function."),
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"bands": {1: {'type': 'number', 'units': u.count}},
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"created_if": (
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f"search_radius_mode == '{RADIUS_OPT_UNIFORM}' or "
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f"search_radius_mode == '{RADIUS_OPT_URBAN_NATURE}'"),
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f"search_radius_mode.value == '{RADIUS_OPT_UNIFORM}' or "
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f"search_radius_mode.value == '{RADIUS_OPT_URBAN_NATURE}'"),
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},
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"urban_nature_area.tif": {
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"about": gettext(
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@ -501,15 +501,15 @@ MODEL_SPEC = {
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"represented in each pixel."),
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"bands": {1: {"type": "number", "units": u.m**2}},
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"created_if":
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(f"search_radius_mode == '{RADIUS_OPT_UNIFORM}' or "
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f"search_radius_mode == '{RADIUS_OPT_POP_GROUP}'"),
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(f"search_radius_mode.value == '{RADIUS_OPT_UNIFORM}' or "
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f"search_radius_mode.value == '{RADIUS_OPT_POP_GROUP}'"),
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},
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"urban_nature_population_ratio.tif": {
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"about": gettext(
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"The calculated urban nature/population ratio."),
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"bands": {1: {"type": "number", "units": u.m**2/u.person}},
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"created_if":
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f"search_radius_mode == '{RADIUS_OPT_UNIFORM}'",
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f"search_radius_mode.value == '{RADIUS_OPT_UNIFORM}'",
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},
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# When RADIUS_OPT_URBAN_NATURE
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@ -521,7 +521,7 @@ MODEL_SPEC = {
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"land cover code LUCODE."),
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"bands": {1: {"type": "number", "units": u.m**2}},
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"created_if":
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f"search_radius_mode == '{RADIUS_OPT_URBAN_NATURE}'",
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f"search_radius_mode.value == '{RADIUS_OPT_URBAN_NATURE}'",
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},
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"urban_nature_supply_percapita_lucode_[LUCODE].tif": {
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"about": gettext(
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@ -529,7 +529,7 @@ MODEL_SPEC = {
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"land use land cover code LUCODE"),
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"bands": {1: {"type": "number", "units": u.m**2/u.person}},
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"created_if":
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f"search_radius_mode == '{RADIUS_OPT_URBAN_NATURE}'",
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f"search_radius_mode.value == '{RADIUS_OPT_URBAN_NATURE}'",
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},
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"urban_nature_population_ratio_lucode_[LUCODE].tif": {
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"about": gettext(
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@ -538,7 +538,7 @@ MODEL_SPEC = {
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"land cover code LUCODE."),
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"bands": {1: {"type": "number", "units": u.m**2/u.person}},
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"created_if":
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f"search_radius_mode == '{RADIUS_OPT_URBAN_NATURE}'",
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f"search_radius_mode.value == '{RADIUS_OPT_URBAN_NATURE}'",
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},
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# When RADIUS_OPT_POP_GROUP
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@ -549,7 +549,7 @@ MODEL_SPEC = {
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"POP_GROUP."),
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"bands": {1: {"type": "number", "units": u.count}},
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"created_if":
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f"search_radius_mode == '{RADIUS_OPT_POP_GROUP}'",
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f"search_radius_mode.value == '{RADIUS_OPT_POP_GROUP}'",
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},
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"proportion_of_population_in_[POP_GROUP].tif": {
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"about": gettext(
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@ -558,7 +558,7 @@ MODEL_SPEC = {
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"POP_GROUP."),
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"bands": {1: {"type": "number", "units": u.none}},
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"created_if":
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f"search_radius_mode == '{RADIUS_OPT_POP_GROUP}'",
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f"search_radius_mode.value == '{RADIUS_OPT_POP_GROUP}'",
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},
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"distance_weighted_population_in_[POP_GROUP].tif": {
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"about": gettext(
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@ -568,7 +568,7 @@ MODEL_SPEC = {
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"decay function."),
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"bands": {1: {"type": "number", "units": u.people}},
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"created_if":
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f"search_radius_mode == '{RADIUS_OPT_POP_GROUP}'",
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f"search_radius_mode.value == '{RADIUS_OPT_POP_GROUP}'",
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},
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"distance_weighted_population_all_groups.tif": {
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"about": gettext(
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@ -576,7 +576,7 @@ MODEL_SPEC = {
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"decay function."),
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"bands": {1: {"type": "number", "units": u.people}},
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"created_if":
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f"search_radius_mode == '{RADIUS_OPT_POP_GROUP}'",
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f"search_radius_mode.value == '{RADIUS_OPT_POP_GROUP}'",
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},
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"urban_nature_supply_percapita_to_[POP_GROUP].tif": {
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"about": gettext(
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@ -584,7 +584,7 @@ MODEL_SPEC = {
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"group POP_GROUP."),
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"bands": {1: {"type": "number", "units": u.m**2/u.person}},
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"created_if":
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f"search_radius_mode == '{RADIUS_OPT_POP_GROUP}'",
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f"search_radius_mode.value == '{RADIUS_OPT_POP_GROUP}'",
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},
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"undersupplied_population_[POP_GROUP].tif": {
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"about": gettext(
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@ -592,7 +592,7 @@ MODEL_SPEC = {
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"are experiencing an urban nature deficit."),
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"bands": {1: {"type": "number", "units": u.people}},
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"created_if":
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f"search_radius_mode == '{RADIUS_OPT_POP_GROUP}'",
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f"search_radius_mode.value == '{RADIUS_OPT_POP_GROUP}'",
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},
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"oversupplied_population_[POP_GROUP].tif": {
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"about": gettext(
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@ -600,7 +600,7 @@ MODEL_SPEC = {
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"are experiencing an urban nature surplus."),
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"bands": {1: {"type": "number", "units": u.people}},
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"created_if":
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f"search_radius_mode == '{RADIUS_OPT_POP_GROUP}'",
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f"search_radius_mode.value == '{RADIUS_OPT_POP_GROUP}'",
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}
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}
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},
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@ -3,12 +3,15 @@ import ast
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import functools
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import importlib
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import inspect
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import io
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import logging
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import os
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import pprint
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import queue
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import re
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import threading
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import token
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import tokenize
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import warnings
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import numpy
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@ -16,8 +19,8 @@ import pandas
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import pint
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import pygeoprocessing
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from osgeo import gdal
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from osgeo import osr
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from osgeo import ogr
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from osgeo import osr
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from . import gettext
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from . import spec_utils
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@ -63,6 +66,45 @@ MESSAGES = {
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}
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def _rewrite_name_dot_value(target_key, expression):
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"""Rewrite a ``name.value`` attribute as a single variable.
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This function uses python's ``tokenize`` library to tokenize the expression
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before checking for the target key and presence of a ``value`` attribute.
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This eliminates false-positives with similarly-named variables.
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Args:
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target_key (string): The target symbol that we expect to have a
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``.value`` attribute.
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expression (string): A string expression likely containing
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``{target_key}.value``
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Returns:
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A rewritten, valid python code string where ``{target_key}.value`` has
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been rewritten as ``__{target_key}__value__``.
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"""
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tokens = [t for t in tokenize.generate_tokens(
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io.StringIO(expression).readline)]
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replacement_name = f"__{target_key}__value__"
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output_tokens = []
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index = 0
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while index < (len(tokens) - 2):
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if all([tokens[index].string == target_key,
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tokens[index+1].string == '.',
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tokens[index+2].string == 'value']):
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# Only the type and string value are required for untokenization
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output_tokens.append((token.NAME, replacement_name))
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index += 3 # skip the "." and "value" tokens.
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else:
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# We can just use the existing token if we're keeping it
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output_tokens.append(tokens[index])
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index += 1
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return tokenize.untokenize(output_tokens)
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def _evaluate_expression(expression, variable_map):
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"""Evaluate a python expression.
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@ -670,8 +712,6 @@ def get_validated_dataframe(csv_path, columns=None, rows=None, index_col=None,
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return df
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def check_csv(filepath, **kwargs):
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"""Validate a table.
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@ -980,9 +1020,36 @@ def validate(args, spec, spatial_overlap_opts=None):
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for key in conditionally_required_keys:
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# An input is conditionally required when the expression given
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# evaluates to True.
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# We handle 2 cases of how the expression is written:
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# * Case 1: a logical expression of boolean operations on another
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# parameter. Example: "not <arg_name>"
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# In this case, the <arg_name> symbol is interpreted as a bool.
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# * Case 2: a logical expression comparing the value of the
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# parameter against another known value.
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# Example: "<other_arg_name>.value == 'uniform radius'"
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expression_values = {}
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expression_with_value = spec[key]['required'][:] # make a copy
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for sufficient_key, is_sufficient in sufficient_inputs.items():
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try:
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args_value = args[sufficient_key]
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except KeyError:
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# Handle the case where a sufficient key (e.g. optional) is
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# missing from args.
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args_value = None
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# If the expression contains a {key}.value pattern, rewrite the
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# name to avoid dot-notation.
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# Because sufficiency is a bool and bools are singletons, we cannot
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# actually assign a .value attribute on a bool.
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value_symbol = f'__{sufficient_key}__value__'
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expression_with_value = _rewrite_name_dot_value(
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sufficient_key, expression_with_value)
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expression_values[value_symbol] = args_value
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expression_values[sufficient_key] = is_sufficient
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is_conditionally_required = _evaluate_expression(
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expression=spec[key]['required'],
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variable_map=sufficient_inputs)
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expression=expression_with_value,
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variable_map=expression_values)
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if is_conditionally_required:
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if key not in args:
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validation_warnings.append(([key], MESSAGES['MISSING_KEY']))
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@ -1030,3 +1030,16 @@ class UNATests(unittest.TestCase):
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args['search_radius_mode'] = (
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urban_nature_access.RADIUS_OPT_URBAN_NATURE)
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self.assertEqual(urban_nature_access.validate(args), [])
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def test_validate_uniform_search_radius(self):
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"""UNA: Search radius is required when using uniform search radii."""
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from natcap.invest import urban_nature_access
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from natcap.invest import validation
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args = _build_model_args(self.workspace_dir)
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args['search_radius_mode'] = urban_nature_access.RADIUS_OPT_UNIFORM
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args['search_radius'] = ''
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warnings = urban_nature_access.validate(args)
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self.assertEqual(warnings, [(['search_radius'],
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validation.MESSAGES['MISSING_VALUE'])])
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@ -1,5 +1,6 @@
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"""Testing module for validation."""
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import codecs
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import collections
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import functools
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import os
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import platform
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@ -9,12 +10,14 @@ import tempfile
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import textwrap
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import time
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import unittest
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from unittest.mock import Mock
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import warnings
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from unittest.mock import Mock
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import numpy
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from osgeo import gdal, osr, ogr
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import pandas
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from osgeo import gdal
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from osgeo import ogr
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from osgeo import osr
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class SpatialOverlapTest(unittest.TestCase):
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@ -30,8 +33,8 @@ class SpatialOverlapTest(unittest.TestCase):
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def test_no_overlap(self):
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"""Validation: verify lack of overlap."""
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from natcap.invest import validation
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import pygeoprocessing
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from natcap.invest import validation
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driver = gdal.GetDriverByName('GTiff')
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filepath_1 = os.path.join(self.workspace_dir, 'raster_1.tif')
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@ -226,7 +229,8 @@ class ValidatorTest(unittest.TestCase):
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def test_n_workers(self):
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"""Validation: validation error returned on invalid n_workers."""
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from natcap.invest import spec_utils, validation
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from natcap.invest import spec_utils
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from natcap.invest import validation
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args_spec = {
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'n_workers': spec_utils.N_WORKERS,
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@ -427,7 +431,8 @@ class RasterValidation(unittest.TestCase):
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def test_raster_incorrect_units(self):
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"""Validation: test when a raster projection has wrong units."""
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from natcap.invest import spec_utils, validation
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from natcap.invest import spec_utils
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from natcap.invest import validation
|
||||
|
||||
# Use EPSG:32066 # NAD27 / BLM 16N (in US Survey Feet)
|
||||
driver = gdal.GetDriverByName('GTiff')
|
||||
|
@ -508,7 +513,8 @@ class VectorValidation(unittest.TestCase):
|
|||
|
||||
def test_vector_projected_in_m(self):
|
||||
"""Validation: test that a vector's projection has expected units."""
|
||||
from natcap.invest import spec_utils, validation
|
||||
from natcap.invest import spec_utils
|
||||
from natcap.invest import validation
|
||||
|
||||
driver = gdal.GetDriverByName('GPKG')
|
||||
filepath = os.path.join(self.workspace_dir, 'vector.gpkg')
|
||||
|
@ -533,7 +539,8 @@ class VectorValidation(unittest.TestCase):
|
|||
|
||||
def test_wrong_geom_type(self):
|
||||
"""Validation: checks that the vector's geometry type is correct."""
|
||||
from natcap.invest import spec_utils, validation
|
||||
from natcap.invest import spec_utils
|
||||
from natcap.invest import validation
|
||||
driver = gdal.GetDriverByName('GPKG')
|
||||
filepath = os.path.join(self.workspace_dir, 'vector.gpkg')
|
||||
vector = driver.Create(filepath, 0, 0, 0, gdal.GDT_Unknown)
|
||||
|
@ -1966,3 +1973,49 @@ class TestValidationFromSpec(unittest.TestCase):
|
|||
patterns = validation.get_headers_to_validate(spec)
|
||||
# should only get the patterns that are static and always required
|
||||
self.assertEqual(sorted(patterns), ['a'])
|
||||
|
||||
|
||||
class TestExpressionNameRewrite(unittest.TestCase):
|
||||
def test_rewrite(self):
|
||||
from natcap.invest import validation
|
||||
|
||||
target_key = "search_radius_mode"
|
||||
expression = (
|
||||
'search_radius_mode.value == "uniform radius" '
|
||||
'and not my_search_radius_mode')
|
||||
result = validation._rewrite_name_dot_value(target_key, expression)
|
||||
|
||||
# The spacing is a little weird, but it should still evaluate.
|
||||
self.assertEqual(result, (
|
||||
'__search_radius_mode__value__ =="uniform radius"'
|
||||
'and not my_search_radius_mode '))
|
||||
|
||||
# Make sure we can still evaluate the result if we simulate some
|
||||
# objects for the local references.
|
||||
eval_result = eval(result, __builtins__, {
|
||||
"search_radius_mode": True,
|
||||
"__search_radius_mode__value__": 1})
|
||||
self.assertEqual(eval_result, False)
|
||||
|
||||
def test_rewrite_at_end_of_expression(self):
|
||||
from natcap.invest import validation
|
||||
|
||||
target_key = "search_radius_mode"
|
||||
expression = (
|
||||
'my_search_radius_mode.value == "uniform radius" '
|
||||
'and not search_radius_mode.value')
|
||||
result = validation._rewrite_name_dot_value(target_key, expression)
|
||||
|
||||
# The spacing is a little weird, but it should still evaluate.
|
||||
self.assertEqual(result, (
|
||||
'my_search_radius_mode.value == "uniform radius" '
|
||||
'and not__search_radius_mode__value__ '))
|
||||
|
||||
# Make sure we can still evaluate the result if we simulate some
|
||||
# objects for the local references.
|
||||
mode_obj_tpl = collections.namedtuple('mode_obj', ['value'])
|
||||
mode_obj = mode_obj_tpl('foo')
|
||||
eval_result = eval(result, __builtins__, {
|
||||
"my_search_radius_mode": mode_obj,
|
||||
"__search_radius_mode__value__": 1})
|
||||
self.assertEqual(eval_result, False)
|
||||
|
|
Loading…
Reference in New Issue