xszheng2020/the_stack_dedup_python_hits_7 · Datasets at Hugging Face

95f19ff06a669b50f2c9a6d9a9c2e6ef121a6bee

25,776

py

Python

ECore_Copier_MM/properties/positive/himesis/HProperty1_connectedLHS.py

levilucio/SyVOLT

7526ec794d21565e3efcc925a7b08ae8db27d46a

[ "MIT" ]

3

2017-06-02T19:26:27.000Z

2021-06-14T04:25:45.000Z

ECore_Copier_MM/properties/positive/himesis/HProperty1_connectedLHS.py

levilucio/SyVOLT

7526ec794d21565e3efcc925a7b08ae8db27d46a

[ "MIT" ]

8

2016-08-24T07:04:07.000Z

2017-05-26T16:22:47.000Z

ECore_Copier_MM/properties/positive/himesis/HProperty1_connectedLHS.py

levilucio/SyVOLT

7526ec794d21565e3efcc925a7b08ae8db27d46a

[ "MIT" ]

1

2019-10-31T06:00:23.000Z

from core.himesis import Himesis, HimesisPreConditionPatternLHS class HProperty1_connectedLHS(HimesisPreConditionPatternLHS): def __init__(self): """ Creates the himesis graph representing the AToM3 model HProperty1_connectedLHS. """ # Flag this instance as compiled now self.is_compiled = True super(HProperty1_connectedLHS, self).__init__(name='HProperty1_connectedLHS', num_nodes=8, edges=[]) # Add the edges self.add_edges([[7, 0], [0, 4], [5, 1], [1, 6], [4, 3], [3, 5], [6, 2], [2, 7]]) # Set the graph attributes self["mm__"] = ['MT_pre__ECoreMM', 'MoTifRule'] self["MT_constraint__"] = """#=============================================================================== # This code is executed after the nodes in the LHS have been matched. # You can access a matched node labelled n by: PreNode('n'). # To access attribute x of node n, use: PreNode('n')['x']. # The given constraint must evaluate to a boolean expression: # returning True enables the rule to be applied, # returning False forbids the rule from being applied. #=============================================================================== return True """ self["name"] = """""" self["GUID__"] = 3846838951924403794 # Set the node attributes self.vs[0]["MT_subtypeMatching__"] = False self.vs[0]["MT_pre__classtype"] = """ #=============================================================================== # This code is executed when evaluating if a node shall be matched by this rule. # You can access the value of the current node's attribute value by: attr_value. # You can access any attribute x of this node by: this['x']. # If the constraint relies on attribute values from other nodes, # use the LHS/NAC constraint instead. # The given constraint must evaluate to a boolean expression. #=============================================================================== return True """ self.vs[0]["MT_pre__name"] = """ #=============================================================================== # This code is executed when evaluating if a node shall be matched by this rule. # You can access the value of the current node's attribute value by: attr_value. # You can access any attribute x of this node by: this['x']. # If the constraint relies on attribute values from other nodes, # use the LHS/NAC constraint instead. # The given constraint must evaluate to a boolean expression. #=============================================================================== return True """ self.vs[0]["MT_label__"] = """9""" self.vs[0]["mm__"] = """MT_pre__EReference""" self.vs[0]["MT_subtypes__"] = [] self.vs[0]["MT_dirty__"] = False self.vs[0]["MT_pre__cardinality"] = """ #=============================================================================== # This code is executed when evaluating if a node shall be matched by this rule. # You can access the value of the current node's attribute value by: attr_value. # You can access any attribute x of this node by: this['x']. # If the constraint relies on attribute values from other nodes, # use the LHS/NAC constraint instead. # The given constraint must evaluate to a boolean expression. #=============================================================================== return True """ self.vs[0]["GUID__"] = 153433590842972657 self.vs[1]["MT_subtypeMatching__"] = False self.vs[1]["MT_pre__classtype"] = """ #=============================================================================== # This code is executed when evaluating if a node shall be matched by this rule. # You can access the value of the current node's attribute value by: attr_value. # You can access any attribute x of this node by: this['x']. # If the constraint relies on attribute values from other nodes, # use the LHS/NAC constraint instead. # The given constraint must evaluate to a boolean expression. #=============================================================================== return True """ self.vs[1]["MT_pre__name"] = """ #=============================================================================== # This code is executed when evaluating if a node shall be matched by this rule. # You can access the value of the current node's attribute value by: attr_value. # You can access any attribute x of this node by: this['x']. # If the constraint relies on attribute values from other nodes, # use the LHS/NAC constraint instead. # The given constraint must evaluate to a boolean expression. #=============================================================================== return True """ self.vs[1]["MT_label__"] = """10""" self.vs[1]["mm__"] = """MT_pre__EReference""" self.vs[1]["MT_subtypes__"] = [] self.vs[1]["MT_dirty__"] = False self.vs[1]["MT_pre__cardinality"] = """ #=============================================================================== # This code is executed when evaluating if a node shall be matched by this rule. # You can access the value of the current node's attribute value by: attr_value. # You can access any attribute x of this node by: this['x']. # If the constraint relies on attribute values from other nodes, # use the LHS/NAC constraint instead. # The given constraint must evaluate to a boolean expression. #=============================================================================== return True """ self.vs[1]["GUID__"] = 1625142794023460183 self.vs[2]["MT_subtypeMatching__"] = False self.vs[2]["MT_pre__classtype"] = """ #=============================================================================== # This code is executed when evaluating if a node shall be matched by this rule. # You can access the value of the current node's attribute value by: attr_value. # You can access any attribute x of this node by: this['x']. # If the constraint relies on attribute values from other nodes, # use the LHS/NAC constraint instead. # The given constraint must evaluate to a boolean expression. #=============================================================================== return True """ self.vs[2]["MT_pre__name"] = """ #=============================================================================== # This code is executed when evaluating if a node shall be matched by this rule. # You can access the value of the current node's attribute value by: attr_value. # You can access any attribute x of this node by: this['x']. # If the constraint relies on attribute values from other nodes, # use the LHS/NAC constraint instead. # The given constraint must evaluate to a boolean expression. #=============================================================================== return True """ self.vs[2]["MT_label__"] = """1""" self.vs[2]["mm__"] = """MT_pre__EClass""" self.vs[2]["MT_subtypes__"] = [] self.vs[2]["MT_dirty__"] = False self.vs[2]["MT_pre__cardinality"] = """ #=============================================================================== # This code is executed when evaluating if a node shall be matched by this rule. # You can access the value of the current node's attribute value by: attr_value. # You can access any attribute x of this node by: this['x']. # If the constraint relies on attribute values from other nodes, # use the LHS/NAC constraint instead. # The given constraint must evaluate to a boolean expression. #=============================================================================== return True """ self.vs[2]["GUID__"] = 1012861819669169115 self.vs[3]["MT_subtypeMatching__"] = False self.vs[3]["MT_pre__classtype"] = """ #=============================================================================== # This code is executed when evaluating if a node shall be matched by this rule. # You can access the value of the current node's attribute value by: attr_value. # You can access any attribute x of this node by: this['x']. # If the constraint relies on attribute values from other nodes, # use the LHS/NAC constraint instead. # The given constraint must evaluate to a boolean expression. #=============================================================================== return True """ self.vs[3]["MT_pre__name"] = """ #=============================================================================== # This code is executed when evaluating if a node shall be matched by this rule. # You can access the value of the current node's attribute value by: attr_value. # You can access any attribute x of this node by: this['x']. # If the constraint relies on attribute values from other nodes, # use the LHS/NAC constraint instead. # The given constraint must evaluate to a boolean expression. #=============================================================================== return True """ self.vs[3]["MT_label__"] = """22""" self.vs[3]["mm__"] = """MT_pre__EClass""" self.vs[3]["MT_subtypes__"] = [] self.vs[3]["MT_dirty__"] = False self.vs[3]["MT_pre__cardinality"] = """ #=============================================================================== # This code is executed when evaluating if a node shall be matched by this rule. # You can access the value of the current node's attribute value by: attr_value. # You can access any attribute x of this node by: this['x']. # If the constraint relies on attribute values from other nodes, # use the LHS/NAC constraint instead. # The given constraint must evaluate to a boolean expression. #=============================================================================== return True """ self.vs[3]["GUID__"] = 4791068985454140032 self.vs[4]["MT_subtypeMatching__"] = False self.vs[4]["MT_pre__associationType"] = """ #=============================================================================== # This code is executed when evaluating if a node shall be matched by this rule. # You can access the value of the current node's attribute value by: attr_value. # You can access any attribute x of this node by: this['x']. # If the constraint relies on attribute values from other nodes, # use the LHS/NAC constraint instead. # The given constraint must evaluate to a boolean expression. #=============================================================================== return attr_value == "eType" """ self.vs[4]["MT_label__"] = """23""" self.vs[4]["mm__"] = """MT_pre__directLink_S""" self.vs[4]["MT_subtypes__"] = [] self.vs[4]["MT_dirty__"] = False self.vs[4]["GUID__"] = 1198087868381807090 self.vs[5]["MT_subtypeMatching__"] = False self.vs[5]["MT_pre__associationType"] = """ #=============================================================================== # This code is executed when evaluating if a node shall be matched by this rule. # You can access the value of the current node's attribute value by: attr_value. # You can access any attribute x of this node by: this['x']. # If the constraint relies on attribute values from other nodes, # use the LHS/NAC constraint instead. # The given constraint must evaluate to a boolean expression. #=============================================================================== return attr_value == "eStructuralFeatures" """ self.vs[5]["MT_label__"] = """24""" self.vs[5]["mm__"] = """MT_pre__directLink_S""" self.vs[5]["MT_subtypes__"] = [] self.vs[5]["MT_dirty__"] = False self.vs[5]["GUID__"] = 8683562425832696356 self.vs[6]["MT_subtypeMatching__"] = False self.vs[6]["MT_pre__associationType"] = """ #=============================================================================== # This code is executed when evaluating if a node shall be matched by this rule. # You can access the value of the current node's attribute value by: attr_value. # You can access any attribute x of this node by: this['x']. # If the constraint relies on attribute values from other nodes, # use the LHS/NAC constraint instead. # The given constraint must evaluate to a boolean expression. #=============================================================================== return attr_value == "eType" """ self.vs[6]["MT_label__"] = """25""" self.vs[6]["mm__"] = """MT_pre__directLink_S""" self.vs[6]["MT_subtypes__"] = [] self.vs[6]["MT_dirty__"] = False self.vs[6]["GUID__"] = 5012855583196557815 self.vs[7]["MT_subtypeMatching__"] = False self.vs[7]["MT_pre__associationType"] = """ #=============================================================================== # This code is executed when evaluating if a node shall be matched by this rule. # You can access the value of the current node's attribute value by: attr_value. # You can access any attribute x of this node by: this['x']. # If the constraint relies on attribute values from other nodes, # use the LHS/NAC constraint instead. # The given constraint must evaluate to a boolean expression. #=============================================================================== return attr_value == "eStructuralFeatures" """ self.vs[7]["MT_label__"] = """26""" self.vs[7]["mm__"] = """MT_pre__directLink_S""" self.vs[7]["MT_subtypes__"] = [] self.vs[7]["MT_dirty__"] = False self.vs[7]["GUID__"] = 6940353481592659555 def eval_classtype9(self, attr_value, this): #=============================================================================== # This code is executed when evaluating if a node shall be matched by this rule. # You can access the value of the current node's attribute value by: attr_value. # You can access any attribute x of this node by: this['x']. # If the constraint relies on attribute values from other nodes, # use the LHS/NAC constraint instead. # The given constraint must evaluate to a boolean expression. #=============================================================================== return True def eval_name9(self, attr_value, this): #=============================================================================== # This code is executed when evaluating if a node shall be matched by this rule. # You can access the value of the current node's attribute value by: attr_value. # You can access any attribute x of this node by: this['x']. # If the constraint relies on attribute values from other nodes, # use the LHS/NAC constraint instead. # The given constraint must evaluate to a boolean expression. #=============================================================================== return True def eval_cardinality9(self, attr_value, this): #=============================================================================== # This code is executed when evaluating if a node shall be matched by this rule. # You can access the value of the current node's attribute value by: attr_value. # You can access any attribute x of this node by: this['x']. # If the constraint relies on attribute values from other nodes, # use the LHS/NAC constraint instead. # The given constraint must evaluate to a boolean expression. #=============================================================================== return True def eval_classtype10(self, attr_value, this): #=============================================================================== # This code is executed when evaluating if a node shall be matched by this rule. # You can access the value of the current node's attribute value by: attr_value. # You can access any attribute x of this node by: this['x']. # If the constraint relies on attribute values from other nodes, # use the LHS/NAC constraint instead. # The given constraint must evaluate to a boolean expression. #=============================================================================== return True def eval_name10(self, attr_value, this): #=============================================================================== # This code is executed when evaluating if a node shall be matched by this rule. # You can access the value of the current node's attribute value by: attr_value. # You can access any attribute x of this node by: this['x']. # If the constraint relies on attribute values from other nodes, # use the LHS/NAC constraint instead. # The given constraint must evaluate to a boolean expression. #=============================================================================== return True def eval_cardinality10(self, attr_value, this): #=============================================================================== # This code is executed when evaluating if a node shall be matched by this rule. # You can access the value of the current node's attribute value by: attr_value. # You can access any attribute x of this node by: this['x']. # If the constraint relies on attribute values from other nodes, # use the LHS/NAC constraint instead. # The given constraint must evaluate to a boolean expression. #=============================================================================== return True def eval_classtype1(self, attr_value, this): #=============================================================================== # This code is executed when evaluating if a node shall be matched by this rule. # You can access the value of the current node's attribute value by: attr_value. # You can access any attribute x of this node by: this['x']. # If the constraint relies on attribute values from other nodes, # use the LHS/NAC constraint instead. # The given constraint must evaluate to a boolean expression. #=============================================================================== return True def eval_name1(self, attr_value, this): #=============================================================================== # This code is executed when evaluating if a node shall be matched by this rule. # You can access the value of the current node's attribute value by: attr_value. # You can access any attribute x of this node by: this['x']. # If the constraint relies on attribute values from other nodes, # use the LHS/NAC constraint instead. # The given constraint must evaluate to a boolean expression. #=============================================================================== return True def eval_cardinality1(self, attr_value, this): #=============================================================================== # This code is executed when evaluating if a node shall be matched by this rule. # You can access the value of the current node's attribute value by: attr_value. # You can access any attribute x of this node by: this['x']. # If the constraint relies on attribute values from other nodes, # use the LHS/NAC constraint instead. # The given constraint must evaluate to a boolean expression. #=============================================================================== return True def eval_classtype22(self, attr_value, this): #=============================================================================== # This code is executed when evaluating if a node shall be matched by this rule. # You can access the value of the current node's attribute value by: attr_value. # You can access any attribute x of this node by: this['x']. # If the constraint relies on attribute values from other nodes, # use the LHS/NAC constraint instead. # The given constraint must evaluate to a boolean expression. #=============================================================================== return True def eval_name22(self, attr_value, this): #=============================================================================== # This code is executed when evaluating if a node shall be matched by this rule. # You can access the value of the current node's attribute value by: attr_value. # You can access any attribute x of this node by: this['x']. # If the constraint relies on attribute values from other nodes, # use the LHS/NAC constraint instead. # The given constraint must evaluate to a boolean expression. #=============================================================================== return True def eval_cardinality22(self, attr_value, this): #=============================================================================== # This code is executed when evaluating if a node shall be matched by this rule. # You can access the value of the current node's attribute value by: attr_value. # You can access any attribute x of this node by: this['x']. # If the constraint relies on attribute values from other nodes, # use the LHS/NAC constraint instead. # The given constraint must evaluate to a boolean expression. #=============================================================================== return True def eval_associationType23(self, attr_value, this): #=============================================================================== # This code is executed when evaluating if a node shall be matched by this rule. # You can access the value of the current node's attribute value by: attr_value. # You can access any attribute x of this node by: this['x']. # If the constraint relies on attribute values from other nodes, # use the LHS/NAC constraint instead. # The given constraint must evaluate to a boolean expression. #=============================================================================== return attr_value == "eType" def eval_associationType24(self, attr_value, this): #=============================================================================== # This code is executed when evaluating if a node shall be matched by this rule. # You can access the value of the current node's attribute value by: attr_value. # You can access any attribute x of this node by: this['x']. # If the constraint relies on attribute values from other nodes, # use the LHS/NAC constraint instead. # The given constraint must evaluate to a boolean expression. #=============================================================================== return attr_value == "eStructuralFeatures" def eval_associationType25(self, attr_value, this): #=============================================================================== # This code is executed when evaluating if a node shall be matched by this rule. # You can access the value of the current node's attribute value by: attr_value. # You can access any attribute x of this node by: this['x']. # If the constraint relies on attribute values from other nodes, # use the LHS/NAC constraint instead. # The given constraint must evaluate to a boolean expression. #=============================================================================== return attr_value == "eType" def eval_associationType26(self, attr_value, this): #=============================================================================== # This code is executed when evaluating if a node shall be matched by this rule. # You can access the value of the current node's attribute value by: attr_value. # You can access any attribute x of this node by: this['x']. # If the constraint relies on attribute values from other nodes, # use the LHS/NAC constraint instead. # The given constraint must evaluate to a boolean expression. #=============================================================================== return attr_value == "eStructuralFeatures" def constraint(self, PreNode, graph): """ Executable constraint code. @param PreNode: Function taking an integer as parameter and returns the node corresponding to that label. """ #=============================================================================== # This code is executed after the nodes in the LHS have been matched. # You can access a matched node labelled n by: PreNode('n'). # To access attribute x of node n, use: PreNode('n')['x']. # The given constraint must evaluate to a boolean expression: # returning True enables the rule to be applied, # returning False forbids the rule from being applied. #=============================================================================== return True

49.953488

117

0.521609

2,953

25,776

4.451067

0.053166

0.030128

0.060256

0.046561

0.899878

0.878576

0.864881

0.857578

0

0.014413

0.203251

25,776

515

118

50.050485

0.625603

0.363943

0

0.649819

0

0.663061

0.177834

0

1

0.064982

false

0

0.00361

0.057762

0.194946

0

null

0

1

0

1

0

null

0

7

250d0b0517b60d33e55ec047509b8b9df36744b2

874

py

Python

client/test/hk_obc.py

estcube/telemetry-forwarding-client

be659c8dd8e4bd26d1d1974d63f90acffd150e34

[ "MIT" ]

3

2020-06-11T12:34:25.000Z

2020-09-16T12:06:32.000Z

client/test/hk_obc.py

estcube/telemetry-forwarding-client

be659c8dd8e4bd26d1d1974d63f90acffd150e34

[ "MIT" ]

57

2020-09-16T09:11:04.000Z

2022-02-28T01:32:13.000Z

client/test/hk_obc.py

estcube/Telemetry-Forwarding-Client

be659c8dd8e4bd26d1d1974d63f90acffd150e34

[ "MIT" ]

null

def hk_obc_enabled(bits: list) -> bytes: """ First bit should be on the left, bitfield is read from left to right """ enabled_bits = 0 bits.reverse() for i in range(len(bits)): enabled_bits |= bits[i] < bytes: """ First bit should be on the left, bitfield is read from left to right """ error_bits = 0 bits.reverse() for i in range(len(bits)): error_bits |= bits[i] < bytes: return temp.to_bytes(1, byteorder='little') def hk_obc_qspi_fram_temp(temp: int) -> bytes: return temp.to_bytes(1, byteorder='little') def hk_obc_io_expander_temp(temp: int) -> bytes: return temp.to_bytes(1, byteorder='little')

23

72

0.652174

138

874

3.934783

0.311594

0.046041

0.073665

0.088398

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0.790055

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0

0.010309

0.223112

874

37

73

23.621622

0.789396

0.156751

0

0.388889

0

0.034091

0

1

0.277778

false

0

0.166667

0.555556

0

null

0

1

0

null

0

1

0

1

0

9

2515b9ee4c9026b4baa3142df0c255abbdb0f085

13,737

py

Python

sdk/python/pulumi_tailscale/tailnet_key.py

pulumi/pulumi-tailscale

fb0ad24b45afe8cf8e573533abd94316d15c06b5

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

8

2021-11-03T16:16:43.000Z

2022-03-09T11:07:33.000Z

sdk/python/pulumi_tailscale/tailnet_key.py

pulumi/pulumi-tailscale

fb0ad24b45afe8cf8e573533abd94316d15c06b5

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

30

2021-11-09T15:38:43.000Z

2022-03-29T18:47:36.000Z

sdk/python/pulumi_tailscale/tailnet_key.py

pulumi/pulumi-tailscale

fb0ad24b45afe8cf8e573533abd94316d15c06b5

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

null

# 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__ = ['TailnetKeyArgs', 'TailnetKey'] @pulumi.input_type class TailnetKeyArgs: def __init__(__self__, *, ephemeral: Optional[pulumi.Input[bool]] = None, preauthorized: Optional[pulumi.Input[bool]] = None, reusable: Optional[pulumi.Input[bool]] = None, tags: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None): """ The set of arguments for constructing a TailnetKey resource. :param pulumi.Input[bool] ephemeral: Indicates if the key is ephemeral. :param pulumi.Input[bool] preauthorized: Determines whether or not the machines authenticated by the key will be authorized for the tailnet by default. :param pulumi.Input[bool] reusable: Indicates if the key is reusable or single-use. :param pulumi.Input[Sequence[pulumi.Input[str]]] tags: List of tags to apply to the machines authenticated by the key. """ if ephemeral is not None: pulumi.set(__self__, "ephemeral", ephemeral) if preauthorized is not None: pulumi.set(__self__, "preauthorized", preauthorized) if reusable is not None: pulumi.set(__self__, "reusable", reusable) if tags is not None: pulumi.set(__self__, "tags", tags) @property @pulumi.getter def ephemeral(self) -> Optional[pulumi.Input[bool]]: """ Indicates if the key is ephemeral. """ return pulumi.get(self, "ephemeral") @ephemeral.setter def ephemeral(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "ephemeral", value) @property @pulumi.getter def preauthorized(self) -> Optional[pulumi.Input[bool]]: """ Determines whether or not the machines authenticated by the key will be authorized for the tailnet by default. """ return pulumi.get(self, "preauthorized") @preauthorized.setter def preauthorized(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "preauthorized", value) @property @pulumi.getter def reusable(self) -> Optional[pulumi.Input[bool]]: """ Indicates if the key is reusable or single-use. """ return pulumi.get(self, "reusable") @reusable.setter def reusable(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "reusable", value) @property @pulumi.getter def tags(self) -> Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]: """ List of tags to apply to the machines authenticated by the key. """ return pulumi.get(self, "tags") @tags.setter def tags(self, value: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]): pulumi.set(self, "tags", value) @pulumi.input_type class _TailnetKeyState: def __init__(__self__, *, ephemeral: Optional[pulumi.Input[bool]] = None, key: Optional[pulumi.Input[str]] = None, preauthorized: Optional[pulumi.Input[bool]] = None, reusable: Optional[pulumi.Input[bool]] = None, tags: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None): """ Input properties used for looking up and filtering TailnetKey resources. :param pulumi.Input[bool] ephemeral: Indicates if the key is ephemeral. :param pulumi.Input[str] key: The authentication key :param pulumi.Input[bool] preauthorized: Determines whether or not the machines authenticated by the key will be authorized for the tailnet by default. :param pulumi.Input[bool] reusable: Indicates if the key is reusable or single-use. :param pulumi.Input[Sequence[pulumi.Input[str]]] tags: List of tags to apply to the machines authenticated by the key. """ if ephemeral is not None: pulumi.set(__self__, "ephemeral", ephemeral) if key is not None: pulumi.set(__self__, "key", key) if preauthorized is not None: pulumi.set(__self__, "preauthorized", preauthorized) if reusable is not None: pulumi.set(__self__, "reusable", reusable) if tags is not None: pulumi.set(__self__, "tags", tags) @property @pulumi.getter def ephemeral(self) -> Optional[pulumi.Input[bool]]: """ Indicates if the key is ephemeral. """ return pulumi.get(self, "ephemeral") @ephemeral.setter def ephemeral(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "ephemeral", value) @property @pulumi.getter def key(self) -> Optional[pulumi.Input[str]]: """ The authentication key """ return pulumi.get(self, "key") @key.setter def key(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "key", value) @property @pulumi.getter def preauthorized(self) -> Optional[pulumi.Input[bool]]: """ Determines whether or not the machines authenticated by the key will be authorized for the tailnet by default. """ return pulumi.get(self, "preauthorized") @preauthorized.setter def preauthorized(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "preauthorized", value) @property @pulumi.getter def reusable(self) -> Optional[pulumi.Input[bool]]: """ Indicates if the key is reusable or single-use. """ return pulumi.get(self, "reusable") @reusable.setter def reusable(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "reusable", value) @property @pulumi.getter def tags(self) -> Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]: """ List of tags to apply to the machines authenticated by the key. """ return pulumi.get(self, "tags") @tags.setter def tags(self, value: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]): pulumi.set(self, "tags", value) class TailnetKey(pulumi.CustomResource): @overload def __init__(__self__, resource_name: str, opts: Optional[pulumi.ResourceOptions] = None, ephemeral: Optional[pulumi.Input[bool]] = None, preauthorized: Optional[pulumi.Input[bool]] = None, reusable: Optional[pulumi.Input[bool]] = None, tags: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None, __props__=None): """ The tailnet_key resource allows you to create pre-authentication keys that can register new nodes without needing to sign in via a web browser. See https://tailscale.com/kb/1085/auth-keys for more information ## Example Usage ```python import pulumi import pulumi_tailscale as tailscale sample_key = tailscale.TailnetKey("sampleKey", ephemeral=False, preauthorized=True, reusable=True) ``` :param str resource_name: The name of the resource. :param pulumi.ResourceOptions opts: Options for the resource. :param pulumi.Input[bool] ephemeral: Indicates if the key is ephemeral. :param pulumi.Input[bool] preauthorized: Determines whether or not the machines authenticated by the key will be authorized for the tailnet by default. :param pulumi.Input[bool] reusable: Indicates if the key is reusable or single-use. :param pulumi.Input[Sequence[pulumi.Input[str]]] tags: List of tags to apply to the machines authenticated by the key. """ ... @overload def __init__(__self__, resource_name: str, args: Optional[TailnetKeyArgs] = None, opts: Optional[pulumi.ResourceOptions] = None): """ The tailnet_key resource allows you to create pre-authentication keys that can register new nodes without needing to sign in via a web browser. See https://tailscale.com/kb/1085/auth-keys for more information ## Example Usage ```python import pulumi import pulumi_tailscale as tailscale sample_key = tailscale.TailnetKey("sampleKey", ephemeral=False, preauthorized=True, reusable=True) ``` :param str resource_name: The name of the resource. :param TailnetKeyArgs 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(TailnetKeyArgs, 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, ephemeral: Optional[pulumi.Input[bool]] = None, preauthorized: Optional[pulumi.Input[bool]] = None, reusable: Optional[pulumi.Input[bool]] = None, tags: Optional[pulumi.Input[Sequence[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__ = TailnetKeyArgs.__new__(TailnetKeyArgs) __props__.__dict__["ephemeral"] = ephemeral __props__.__dict__["preauthorized"] = preauthorized __props__.__dict__["reusable"] = reusable __props__.__dict__["tags"] = tags __props__.__dict__["key"] = None super(TailnetKey, __self__).__init__( 'tailscale:index/tailnetKey:TailnetKey', resource_name, __props__, opts) @staticmethod def get(resource_name: str, id: pulumi.Input[str], opts: Optional[pulumi.ResourceOptions] = None, ephemeral: Optional[pulumi.Input[bool]] = None, key: Optional[pulumi.Input[str]] = None, preauthorized: Optional[pulumi.Input[bool]] = None, reusable: Optional[pulumi.Input[bool]] = None, tags: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None) -> 'TailnetKey': """ Get an existing TailnetKey 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[bool] ephemeral: Indicates if the key is ephemeral. :param pulumi.Input[str] key: The authentication key :param pulumi.Input[bool] preauthorized: Determines whether or not the machines authenticated by the key will be authorized for the tailnet by default. :param pulumi.Input[bool] reusable: Indicates if the key is reusable or single-use. :param pulumi.Input[Sequence[pulumi.Input[str]]] tags: List of tags to apply to the machines authenticated by the key. """ opts = pulumi.ResourceOptions.merge(opts, pulumi.ResourceOptions(id=id)) __props__ = _TailnetKeyState.__new__(_TailnetKeyState) __props__.__dict__["ephemeral"] = ephemeral __props__.__dict__["key"] = key __props__.__dict__["preauthorized"] = preauthorized __props__.__dict__["reusable"] = reusable __props__.__dict__["tags"] = tags return TailnetKey(resource_name, opts=opts, __props__=__props__) @property @pulumi.getter def ephemeral(self) -> pulumi.Output[Optional[bool]]: """ Indicates if the key is ephemeral. """ return pulumi.get(self, "ephemeral") @property @pulumi.getter def key(self) -> pulumi.Output[str]: """ The authentication key """ return pulumi.get(self, "key") @property @pulumi.getter def preauthorized(self) -> pulumi.Output[Optional[bool]]: """ Determines whether or not the machines authenticated by the key will be authorized for the tailnet by default. """ return pulumi.get(self, "preauthorized") @property @pulumi.getter def reusable(self) -> pulumi.Output[Optional[bool]]: """ Indicates if the key is reusable or single-use. """ return pulumi.get(self, "reusable") @property @pulumi.getter def tags(self) -> pulumi.Output[Optional[Sequence[str]]]: """ List of tags to apply to the machines authenticated by the key. """ return pulumi.get(self, "tags")

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c2dd8eeea5a454e8d47cfbc367b72e63bd87568a

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py

Python

python/minpack/library.py

awvwgk/minpack

dc14d611af8d9c16d08039d6e5a6d45b766b8022

[ "MIT" ]

34

2022-02-02T14:46:57.000Z

2022-03-16T21:34:09.000Z

python/minpack/library.py

fortran-lang/minpack

c0b5aea9fcd2b83865af921a7a7e881904f8d3c2

[ "MIT" ]

58

2022-02-02T14:43:38.000Z

2022-03-18T02:18:48.000Z

python/minpack/library.py

awvwgk/minpack

dc14d611af8d9c16d08039d6e5a6d45b766b8022

[ "MIT" ]

6

2022-02-02T14:58:22.000Z

2022-03-01T17:17:47.000Z

# -*- coding: utf-8 -*- """ Low-level Python bindings to the Minpack library. This module forwards the CFFI generated bindings to the Minpack library and provides a Pythonic interface to the C API. """ import numpy as np import functools import math from typing import Optional from .typing import ( CallableHybrd, CallableHybrj, CallableLmder, CallableLmdif, CallableLmstr, ) from ._libminpack import ffi, lib from .exception import info_hy, info_lm class UserData: """ Carry Python callable object through callback and propagate exceptions without disturbing foreign runtime. """ def __init__(self, fcn, **kwargs): self.fcn = fcn self.exception = None self.kwargs = kwargs @ffi.def_extern() def func(n, x, fvec, iflag, data) -> None: """ Entry point for callback from minpack_hybrd and minpack_hybrd1 library functions. Restores type information for NDArray objects and calls the user-provided callback. """ if iflag[0] <= 0: return handle: UserData = ffi.from_handle(data) try: handle.fcn( np.frombuffer(ffi.buffer(x, n * real.itemsize), dtype=real), np.frombuffer(ffi.buffer(fvec, n * real.itemsize), dtype=real), **handle.kwargs, ) except BaseException as e: iflag[0] = -1 handle.exception = e @ffi.def_extern() def fcn_hybrj(n, x, fvec, fjac, ldfjac, iflag, data) -> None: """ Entry point for callback from minpack_hybrj and minpack_hybrj1 library functions. Restores type information for NDArray objects and calls the user-provided callback. """ if iflag[0] <= 0: return handle: UserData = ffi.from_handle(data) try: fjac = np.frombuffer(ffi.buffer(fjac, ldfjac * n * real.itemsize), dtype=real) handle.fcn( np.frombuffer(ffi.buffer(x, n * real.itemsize), dtype=real), np.frombuffer(ffi.buffer(fvec, n * real.itemsize), dtype=real), np.reshape(fjac, (n, ldfjac)), iflag[0] == 2, **handle.kwargs, ) except BaseException as e: iflag[0] = -1 handle.exception = e @ffi.def_extern() def fcn_lmder(m, n, x, fvec, fjac, ldfjac, iflag, data) -> None: """ Entry point for callback from minpack_lmder and minpack_lmder1 library functions. Restores type information for NDArray objects and calls the user-provided callback. """ if iflag[0] <= 0: return handle: UserData = ffi.from_handle(data) try: fjac = np.frombuffer(ffi.buffer(fjac, ldfjac * n * real.itemsize), dtype=real) handle.fcn( np.frombuffer(ffi.buffer(x, n * real.itemsize), dtype=real), np.frombuffer(ffi.buffer(fvec, m * real.itemsize), dtype=real), np.reshape(fjac, (n, ldfjac)), iflag[0] == 2, **handle.kwargs, ) except BaseException as e: iflag[0] = -1 handle.exception = e @ffi.def_extern() def func2(m, n, x, fvec, iflag, data) -> None: """ Entry point for callback from minpack_lmdif and minpack_lmdif1 library functions. Restores type information for NDArray objects and calls the user-provided callback. """ if iflag[0] <= 0: return handle: UserData = ffi.from_handle(data) try: handle.fcn( np.frombuffer(ffi.buffer(x, n * real.itemsize), dtype=real), np.frombuffer(ffi.buffer(fvec, m * real.itemsize), dtype=real), **handle.kwargs, ) except BaseException as e: iflag[0] = -1 handle.exception = e @ffi.def_extern() def fcn_lmstr(m, n, x, fvec, fjrow, iflag, data) -> None: """ Entry point for callback from minpack_lmstr and minpack_lmstr1 library functions. Restores type information for NDArray objects and calls the user-provided callback. """ if iflag[0] <= 0: return handle: UserData = ffi.from_handle(data) try: handle.fcn( np.frombuffer(ffi.buffer(x, n * real.itemsize), dtype=real), np.frombuffer(ffi.buffer(fvec, m * real.itemsize), dtype=real), np.frombuffer(ffi.buffer(fjrow, n * real.itemsize), dtype=real), iflag[0] - 2 if iflag[0] > 1 else None, **handle.kwargs, ) except BaseException as e: iflag[0] = -1 handle.exception = e def extern_python(dec): """ Meta-decorator to attach a CFFI extern "Python" callback to a decorator handling the Python side of the callback. """ def layer(*args, **kwargs): def wrapper(func): return dec(func, *args, **kwargs) return wrapper return layer @extern_python def cffi_callback(func, callback): """ Attach Python callback to a library function with extern "Python" callback. This decorator wraps the user-provided Python callback in a `UserData` object to carry it through the foreign runtime. It also propagates exceptions from the user-provided Python callback back through the foreign runtime and re-raises. """ @functools.wraps(func) def entry_point(fcn, *args, **kwargs): data = UserData(fcn, **kwargs) handle = ffi.new_handle(data) func(callback, *args, handle) if data.exception is not None: raise data.exception return entry_point real = np.dtype("f8") minpack_hybrd1 = cffi_callback(lib.func)(lib.minpack_hybrd1) minpack_hybrd = cffi_callback(lib.func)(lib.minpack_hybrd) minpack_hybrj1 = cffi_callback(lib.fcn_hybrj)(lib.minpack_hybrj1) minpack_hybrj = cffi_callback(lib.fcn_hybrj)(lib.minpack_hybrj) minpack_lmder1 = cffi_callback(lib.fcn_lmder)(lib.minpack_lmder1) minpack_lmder = cffi_callback(lib.fcn_lmder)(lib.minpack_lmder) minpack_lmdif1 = cffi_callback(lib.func2)(lib.minpack_lmdif1) minpack_lmdif = cffi_callback(lib.func2)(lib.minpack_lmdif) minpack_lmstr1 = cffi_callback(lib.fcn_lmstr)(lib.minpack_lmstr1) minpack_lmstr = cffi_callback(lib.fcn_lmstr)(lib.minpack_lmstr) minpack_chkder = lib.minpack_chkder def hybrd1( fcn: CallableHybrd, x: np.ndarray, fvec: np.ndarray, tol: float = math.sqrt(np.finfo(real).eps), **kwargs, ) -> int: """ Find a zero of a system of n nonlinear functions in n variables by a modification of the Powell hybrid method. This is done by using the more general nonlinear equation solver `hybrd`. The user must provide a subroutine which calculates the functions. The Jacobian is then calculated by a forward-difference approximation. Parameters ---------- func : callable ``f(x, fvec)`` A function that takes at least one (possibly vector) argument, and returns a value of the same length. x : ndarray The starting estimate for the roots of ``func(x) = 0``. fvec: ndarray Function evaluated at the output tol : float The calculation will terminate if the relative error between two consecutive iterates is at most `tol`. Returns ------- info : int Set to 1 if a solution was found. Raises ------ MinpackInputError In case of invalid input parameters. MinpackMaxIterations When the maximum number of iterations is exceeded. MinpackFunctionTolerance When the function tolerance cannot be satisfied. MinpackSlowProgressJacobian When the Jacobian is not changing. MinpackSlowProgress When the function is not changing. Examples -------- >>> import numpy as np >>> from minpack import hybrd >>> >>> def fcn(x, fvec) -> None: ... fvec[0] = x[0] * np.cos(x[1]) - 4 ... fvec[1] = x[1] * x[0] - x[1] - 5 ... >>> x = np.array(2 * [1.0]) >>> fvec = np.zeros(2, dtype=np.float64) >>> hybrd1(fcn, x, fvec) 1 >>> x array([6.50409711, 0.90841421]) >>> np.isclose(fvec, [0.0, 0.0]) # fvec should be almost 0.0. array([ True, True]) """ n = x.size lwa = n * (3 * n + 13) // 2 wa = np.zeros(lwa, dtype=real) info = ffi.new("int *") minpack_hybrd1( fcn, n, ffi.cast("double*", x.ctypes.data), ffi.cast("double*", fvec.ctypes.data), tol, info, ffi.cast("double*", wa.ctypes.data), lwa, **kwargs, ) ex = info_hy(info[0]) if ex is not None: raise ex(ex.__doc__) return info[0] def hybrd( fcn: CallableHybrd, x: np.ndarray, fvec: np.ndarray, xtol: float = math.sqrt(np.finfo(real).eps), *, maxfev: Optional[int] = None, ml: Optional[int] = None, mu: Optional[int] = None, epsfcn: float = 0.0, diag: Optional[np.ndarray] = None, mode: int = 2, factor: float = 100.0, nprint: int = 0, fjac: Optional[np.ndarray] = None, r: Optional[np.ndarray] = None, qtf: Optional[np.ndarray] = None, **kwargs, ) -> int: """ Find a zero of a system of n nonlinear functions in n variables by a modification of the Powell hybrid method. The user must provide a subroutine which calculates the functions. The Jacobian is then calculated by a forward-difference approximation. Raises ------ MinpackInputError In case of invalid input parameters. MinpackMaxIterations When the maximum number of iterations is exceeded. MinpackFunctionTolerance When the function tolerance cannot be satisfied. MinpackSlowProgressJacobian When the Jacobian is not changing. MinpackSlowProgress When the function is not changing. """ n = x.size info = ffi.new("int *") nfev = ffi.new("int *") if maxfev is None: maxfev = 200 * (n + 1) if ml is None: ml = n - 1 if mu is None: mu = n - 1 if diag is None: diag = np.ones(n, dtype=real) if fjac is None: fjac = np.zeros((n, n), dtype=real) if r is None: r = np.zeros(n * (n + 1) // 2, dtype=real) if qtf is None: qtf = np.zeros(n, dtype=real) wa1 = np.zeros(n, dtype=real) wa2 = np.zeros(n, dtype=real) wa3 = np.zeros(n, dtype=real) wa4 = np.zeros(n, dtype=real) minpack_hybrd( fcn, n, ffi.cast("double*", x.ctypes.data), ffi.cast("double*", fvec.ctypes.data), xtol, maxfev, ml, mu, epsfcn, ffi.cast("double*", diag.ctypes.data), mode, factor, nprint, info, nfev, ffi.cast("double*", fjac.ctypes.data), n, ffi.cast("double*", r.ctypes.data), r.size, ffi.cast("double*", qtf.ctypes.data), ffi.cast("double*", wa1.ctypes.data), ffi.cast("double*", wa2.ctypes.data), ffi.cast("double*", wa3.ctypes.data), ffi.cast("double*", wa4.ctypes.data), **kwargs, ) ex = info_hy(info[0]) if ex is not None: raise ex(ex.__doc__) return info[0] def hybrj1( fcn: CallableHybrj, x: np.ndarray, fvec: np.ndarray, fjac: np.ndarray, tol: float = math.sqrt(np.finfo(real).eps), **kwargs, ) -> int: """ Find a zero of a system of n nonlinear functions in n variables by a modification of the Powell hybrid method. This is done by using the more general nonlinear equation solver `hybrj`. The user must provide a subroutine which calculates the functions and the Jacobian. Raises ------ MinpackInputError In case of invalid input parameters. MinpackMaxIterations When the maximum number of iterations is exceeded. MinpackFunctionTolerance When the function tolerance cannot be satisfied. MinpackSlowProgressJacobian When the Jacobian is not changing. MinpackSlowProgress When the function is not changing. """ n = x.size lwa = (n * (n + 13)) // 2 wa = np.zeros(lwa, dtype=real) info = ffi.new("int *") minpack_hybrj1( fcn, n, ffi.cast("double*", x.ctypes.data), ffi.cast("double*", fvec.ctypes.data), ffi.cast("double*", fjac.ctypes.data), n, tol, info, ffi.cast("double*", wa.ctypes.data), lwa, **kwargs, ) ex = info_hy(info[0]) if ex is not None: raise ex(ex.__doc__) return info[0] def hybrj( fcn: CallableHybrj, x: np.ndarray, fvec: np.ndarray, fjac: np.ndarray, xtol: float = math.sqrt(np.finfo(real).eps), *, maxfev: Optional[int] = None, diag: Optional[np.ndarray] = None, mode: int = 2, factor: float = 100.0, nprint: int = 0, r: Optional[np.ndarray] = None, qtf: Optional[np.ndarray] = None, **kwargs, ) -> int: """ Find a zero of a system of n nonlinear functions in n variables by a modification of the Powell hybrid method. The user must provide a subroutine which calculates the functions and the Jacobian. Raises ------ MinpackInputError In case of invalid input parameters. MinpackMaxIterations When the maximum number of iterations is exceeded. MinpackFunctionTolerance When the function tolerance cannot be satisfied. MinpackSlowProgressJacobian When the Jacobian is not changing. MinpackSlowProgress When the function is not changing. """ n = x.size info = ffi.new("int *") nfev = ffi.new("int *") njev = ffi.new("int *") if maxfev is None: maxfev = 200 * (n + 1) if diag is None: diag = np.ones(n, dtype=real) if fjac is None: fjac = np.zeros((n, n), dtype=real) if r is None: r = np.zeros(n * (n + 1) // 2, dtype=real) if qtf is None: qtf = np.zeros(n, dtype=real) wa1 = np.zeros(n, dtype=real) wa2 = np.zeros(n, dtype=real) wa3 = np.zeros(n, dtype=real) wa4 = np.zeros(n, dtype=real) minpack_hybrj( fcn, n, ffi.cast("double*", x.ctypes.data), ffi.cast("double*", fvec.ctypes.data), ffi.cast("double*", fjac.ctypes.data), n, xtol, maxfev, ffi.cast("double*", diag.ctypes.data), mode, factor, nprint, info, nfev, njev, ffi.cast("double*", r.ctypes.data), r.size, ffi.cast("double*", qtf.ctypes.data), ffi.cast("double*", wa1.ctypes.data), ffi.cast("double*", wa2.ctypes.data), ffi.cast("double*", wa3.ctypes.data), ffi.cast("double*", wa4.ctypes.data), **kwargs, ) ex = info_hy(info[0]) if ex is not None: raise ex(ex.__doc__) return info[0] def lmder1( fcn: CallableLmder, x: np.ndarray, fvec: np.ndarray, fjac: np.ndarray, tol: float = math.sqrt(np.finfo(real).eps), **kwargs, ) -> int: """ Minimize the sum of the squares of m nonlinear functions in n variables by a modification of the Levenberg-Marquardt algorithm. This is done by using the more general least-squares solver `lmder`. The user must provide a subroutine which calculates the functions and the Jacobian. Raises ------ MinpackInputError In case of invalid input parameters. MinpackMaxIterations When the maximum number of iterations is exceeded. MinpackFunctionTolerance When the function tolerance cannot be satisfied. MinpackSolutionTolerance When no further improvement in the approximate solution is possible. MinpackJacobianTolerance The solution is orthogonal to the jacobian. """ n = x.size m = fvec.size lwa = 5 * n + m wa = np.zeros(lwa, dtype=real) ipvt = np.zeros(n, dtype=np.int32) info = ffi.new("int *") minpack_lmder1( fcn, m, n, ffi.cast("double*", x.ctypes.data), ffi.cast("double*", fvec.ctypes.data), ffi.cast("double*", fjac.ctypes.data), m, tol, info, ffi.cast("int*", ipvt.ctypes.data), ffi.cast("double*", wa.ctypes.data), lwa, **kwargs, ) ex = info_lm(info[0]) if ex is not None: raise ex(ex.__doc__) return info[0] def lmder( fcn: CallableLmder, x: np.ndarray, fvec: np.ndarray, fjac: np.ndarray, ftol: float = math.sqrt(np.finfo(real).eps), xtol: float = math.sqrt(np.finfo(real).eps), *, gtol: float = 0.0, maxfev: Optional[int] = None, diag: Optional[np.ndarray] = None, mode: int = 1, factor=100.0, nprint=0, ipvt: Optional[np.ndarray] = None, qtf: Optional[np.ndarray] = None, **kwargs, ) -> int: """ Minimize the sum of the squares of m nonlinear functions in n variables by a modification of the Levenberg-Marquardt algorithm. The user must provide a subroutine which calculates the functions and the Jacobian. Raises ------ MinpackInputError In case of invalid input parameters. MinpackMaxIterations When the maximum number of iterations is exceeded. MinpackFunctionTolerance When the function tolerance cannot be satisfied. MinpackSolutionTolerance When no further improvement in the approximate solution is possible. MinpackJacobianTolerance The solution is orthogonal to the jacobian. """ n = x.size m = fvec.size info = ffi.new("int *") nfev = ffi.new("int *") njev = ffi.new("int *") if diag is None: diag = np.ones(n, dtype=real) if maxfev is None: maxfev = 100 * (n + 1) if ipvt is None: ipvt = np.zeros(n, dtype=np.int32) if qtf is None: qtf = np.zeros(n, dtype=real) wa1 = np.zeros(n, dtype=real) wa2 = np.zeros(n, dtype=real) wa3 = np.zeros(n, dtype=real) wa4 = np.zeros(m, dtype=real) minpack_lmder( fcn, m, n, ffi.cast("double*", x.ctypes.data), ffi.cast("double*", fvec.ctypes.data), ffi.cast("double*", fjac.ctypes.data), m, ftol, xtol, gtol, maxfev, ffi.cast("double*", diag.ctypes.data), mode, factor, nprint, info, nfev, njev, ffi.cast("int*", ipvt.ctypes.data), ffi.cast("double*", qtf.ctypes.data), ffi.cast("double*", wa1.ctypes.data), ffi.cast("double*", wa2.ctypes.data), ffi.cast("double*", wa3.ctypes.data), ffi.cast("double*", wa4.ctypes.data), **kwargs, ) ex = info_lm(info[0]) if ex is not None: raise ex(ex.__doc__) return info[0] def lmdif1( fcn: CallableLmdif, x: np.ndarray, fvec: np.ndarray, tol: float = math.sqrt(np.finfo(real).eps), **kwargs, ) -> int: """ Minimize the sum of the squares of m nonlinear functions in n variables by a modification of the Levenberg-Marquardt algorithm. This is done by using the more general least-squares solver `lmdif`. The user must provide a subroutine which calculates the functions. The jacobian is then calculated by a forward-difference approximation. Parameters ---------- func : callable ``f(x, fvec)`` Should take at least one (possibly length n vector) argument and compute m floating point numbers in fvec. It must not return NaNs or fitting might fail. m must be greater than or equal to n. x : ndarray The starting estimate for the minimization. fvec : ndarray The function evaluated at the output. tol : float, optional Relative error desired in the sum of squares and the approximate solution. Returns ------- info : int An integer flag. If it is equal to 1, 2, 3 or 4, the solution was found. Otherwise, the solution was not found. Raises ------ MinpackInputError In case of invalid input parameters. MinpackMaxIterations When the maximum number of iterations is exceeded. MinpackFunctionTolerance When the function tolerance cannot be satisfied. MinpackSolutionTolerance When no further improvement in the approximate solution is possible. MinpackJacobianTolerance The solution is orthogonal to the jacobian. Example ------- >>> import numpy as np >>> from minpack import lmdif1 >>> >>> def func(x, fvec): ... fvec[:] = 2*(x-3)**2+1 ... >>> x = np.array(0.0) >>> fvec = np.zeros(1, dtype=np.float64) >>> lmdif1(func, x, fvec) 1 >>> x array(2.99999999) """ n = x.size m = fvec.size lwa = m * n + 5 * n + m wa = np.zeros(lwa, dtype=real) ipvt = np.zeros(n, dtype=np.int32) info = ffi.new("int *") minpack_lmdif1( fcn, m, n, ffi.cast("double*", x.ctypes.data), ffi.cast("double*", fvec.ctypes.data), tol, info, ffi.cast("int*", ipvt.ctypes.data), ffi.cast("double*", wa.ctypes.data), lwa, **kwargs, ) ex = info_lm(info[0]) if ex is not None: raise ex(ex.__doc__) return info[0] def lmdif( fcn: CallableLmdif, x: np.ndarray, fvec: np.ndarray, ftol: float = math.sqrt(np.finfo(real).eps), xtol: float = math.sqrt(np.finfo(real).eps), *, gtol: float = 0.0, maxfev: Optional[int] = None, epsfcn: float = 0.0, diag: Optional[np.ndarray] = None, mode=1, factor: float = 100.0, nprint: int = 0, fjac: Optional[np.ndarray] = None, ipvt: Optional[np.ndarray] = None, qtf: Optional[np.ndarray] = None, **kwargs, ) -> int: """ Minimize the sum of the squares of m nonlinear functions in n variables by a modification of the Levenberg-Marquardt algorithm. The user must provide a subroutine which calculates the functions. The jacobian is then calculated by a forward-difference approximation. Raises ------ MinpackInputError In case of invalid input parameters. MinpackMaxIterations When the maximum number of iterations is exceeded. MinpackFunctionTolerance When the function tolerance cannot be satisfied. MinpackSolutionTolerance When no further improvement in the approximate solution is possible. MinpackJacobianTolerance The solution is orthogonal to the jacobian. """ n = x.size m = fvec.size info = ffi.new("int *") nfev = ffi.new("int *") if maxfev is None: maxfev = 200 * (n + 1) if diag is None: diag = np.ones(n, dtype=real) if fjac is None: fjac = np.zeros((n, m), dtype=real) if ipvt is None: ipvt = np.zeros(n, dtype=np.int32) if qtf is None: qtf = np.zeros(n, dtype=real) wa1 = np.zeros(n, dtype=real) wa2 = np.zeros(n, dtype=real) wa3 = np.zeros(n, dtype=real) wa4 = np.zeros(m, dtype=real) minpack_lmdif( fcn, m, n, ffi.cast("double*", x.ctypes.data), ffi.cast("double*", fvec.ctypes.data), ftol, xtol, gtol, maxfev, epsfcn, ffi.cast("double*", diag.ctypes.data), mode, factor, nprint, info, nfev, ffi.cast("double*", fjac.ctypes.data), m, ffi.cast("int*", ipvt.ctypes.data), ffi.cast("double*", qtf.ctypes.data), ffi.cast("double*", wa1.ctypes.data), ffi.cast("double*", wa2.ctypes.data), ffi.cast("double*", wa3.ctypes.data), ffi.cast("double*", wa4.ctypes.data), **kwargs, ) ex = info_lm(info[0]) if ex is not None: raise ex(ex.__doc__) return info[0] def lmstr1( fcn: CallableLmstr, x: np.ndarray, fvec: np.ndarray, fjac: np.ndarray, tol: float = math.sqrt(np.finfo(real).eps), **kwargs, ) -> int: """ Minimize the sum of the squares of m nonlinear functions in n variables by a modification of the Levenberg-Marquardt algorithm which uses minimal storage. This is done by using the more general least-squares solver `lmstr`. The user must provide a subroutine which calculates the functions and the rows of the Jacobian. Raises ------ MinpackInputError In case of invalid input parameters. MinpackMaxIterations When the maximum number of iterations is exceeded. MinpackFunctionTolerance When the function tolerance cannot be satisfied. MinpackSolutionTolerance When no further improvement in the approximate solution is possible. MinpackJacobianTolerance The solution is orthogonal to the jacobian. """ n = x.size m = fvec.size lwa = m * n + 5 * n + m wa = np.zeros(lwa, dtype=real) ipvt = np.zeros(n, dtype=np.int32) info = ffi.new("int *") minpack_lmstr1( fcn, m, n, ffi.cast("double*", x.ctypes.data), ffi.cast("double*", fvec.ctypes.data), ffi.cast("double*", fjac.ctypes.data), n, tol, info, ffi.cast("int*", ipvt.ctypes.data), ffi.cast("double*", wa.ctypes.data), lwa, **kwargs, ) ex = info_lm(info[0]) if ex is not None: raise ex(ex.__doc__) return info[0] def lmstr( fcn: CallableLmstr, x: np.ndarray, fvec: np.ndarray, fjac: np.ndarray, ftol: float = math.sqrt(np.finfo(real).eps), xtol: float = math.sqrt(np.finfo(real).eps), *, gtol: float = 0.0, maxfev: Optional[int] = None, diag: Optional[np.ndarray] = None, mode: int = 1, factor: float = 100.0, nprint=0, ipvt: Optional[np.ndarray] = None, qtf: Optional[np.ndarray] = None, **kwargs, ) -> int: """ Minimize the sum of the squares of m nonlinear functions in n variables by a modification of the Levenberg-Marquardt algorithm which uses minimal storage. The user must provide a subroutine which calculates the functions and the rows of the Jacobian. Raises ------ MinpackInputError In case of invalid input parameters. MinpackMaxIterations When the maximum number of iterations is exceeded. MinpackFunctionTolerance When the function tolerance cannot be satisfied. MinpackSolutionTolerance When no further improvement in the approximate solution is possible. MinpackJacobianTolerance The solution is orthogonal to the jacobian. """ n = x.size m = fvec.size info = ffi.new("int *") nfev = ffi.new("int *") njev = ffi.new("int *") if maxfev is None: maxfev = 100 * (n + 1) if diag is None: diag = np.ones(n, dtype=real) if ipvt is None: ipvt = np.zeros(n, dtype=np.int32) if qtf is None: qtf = np.zeros(n, dtype=real) wa1 = np.zeros(n, dtype=real) wa2 = np.zeros(n, dtype=real) wa3 = np.zeros(n, dtype=real) wa4 = np.zeros(m, dtype=real) minpack_lmstr( fcn, m, n, ffi.cast("double*", x.ctypes.data), ffi.cast("double*", fvec.ctypes.data), ffi.cast("double*", fjac.ctypes.data), n, ftol, xtol, gtol, maxfev, ffi.cast("double*", diag.ctypes.data), mode, factor, nprint, info, nfev, njev, ffi.cast("int*", ipvt.ctypes.data), ffi.cast("double*", qtf.ctypes.data), ffi.cast("double*", wa1.ctypes.data), ffi.cast("double*", wa2.ctypes.data), ffi.cast("double*", wa3.ctypes.data), ffi.cast("double*", wa4.ctypes.data), **kwargs, ) ex = info_lm(info[0]) if ex is not None: raise ex(ex.__doc__) return info[0] def chkder(x, fvec, fjac, xp, fvecp, check, error): """ This subroutine checks the gradients of m nonlinear functions in n variables, evaluated at a point x, for consistency with the functions themselves. The subroutine does not perform reliably if cancellation or rounding errors cause a severe loss of significance in the evaluation of a function. Therefore, none of the components of x should be unusually small (in particular, zero) or any other value which may cause loss of significance. """ if not fvec.size == fjac.shape[-1] == fvecp.size == error.size: raise ValueError("fvec, fjac, fvecp, error must have the same size") if not x.size == fjac.shape[0] == xp.size: raise ValueError("x, fjac, xp must have the same size") m = fvec.size n = x.size ldfjac = fjac.shape[-1] minpack_chkder( m, n, ffi.cast("double*", x.ctypes.data), ffi.cast("double*", fvec.ctypes.data), ffi.cast("double*", fjac.ctypes.data), ldfjac, ffi.cast("double*", xp.ctypes.data), ffi.cast("double*", fvecp.ctypes.data), 2 if check else 1, ffi.cast("double*", error.ctypes.data), )

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87

0.60307

3,833

29,121

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0.052964

0.043897

0.821541

0.808171

0.801056

0.776095

0.769725

0.765651

0

0.013363

0.283026

29,121

1,005

88

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0.821304

0.352632

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1

0.034976

false

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0

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0

1

0

null

0

8

c2e322677fd9263e9946ab0f0c25cf3b82b95e6a

11,049

py

Python

lib/systems/c197.py

pulsar-chem/BPModule

f8e64e04fdb01947708f098e833600c459c2ff0e

[ "BSD-3-Clause" ]

null

lib/systems/c197.py

pulsar-chem/BPModule

f8e64e04fdb01947708f098e833600c459c2ff0e

[ "BSD-3-Clause" ]

null

lib/systems/c197.py

pulsar-chem/BPModule

f8e64e04fdb01947708f098e833600c459c2ff0e

[ "BSD-3-Clause" ]

null

import pulsar as psr def load_ref_system(): """ Returns c197 as found in the IQMol fragment library. All credit to https://github.com/nutjunkie/IQmol """ return psr.make_system(""" C -0.00000 0.00000 7.06473 C 0.66844 1.15777 6.48782 C 0.76053 1.31727 5.02626 C -1.33688 0.00000 6.48782 C -1.52106 0.00000 5.02626 C 0.66844 -1.15777 6.48782 C 0.76053 -1.31727 5.02626 C 3.09155 -0.00000 4.89187 C 3.76890 1.12689 4.30138 C 3.85152 1.28905 2.85545 C 1.51464 -0.00000 4.48380 C 1.50171 -0.00000 2.84995 C 3.76890 -1.12689 4.30138 C 3.85152 -1.28905 2.85545 C 6.30621 -0.00000 2.71725 C 6.99495 1.12731 2.14729 C 6.67560 1.44777 0.69748 C 4.63993 -0.00000 2.31440 C 4.57683 -0.00000 0.71078 C 6.99495 -1.12731 2.14729 C 6.67560 -1.44777 0.69748 C -1.54577 2.67736 4.89187 C -0.90854 3.82741 4.30138 C -0.80941 3.98004 2.85545 C -2.86036 2.70052 4.30138 C -3.04211 2.69099 2.85545 C -0.75732 1.31172 4.48380 C -0.75086 1.30052 2.84995 C 1.39780 2.42106 4.30673 C 1.49508 2.58956 2.86321 C 2.13520 3.69828 2.19674 C 2.24513 3.88869 0.76523 C -0.02557 2.60743 2.31661 C -0.01555 2.60441 0.72359 C 2.27088 1.28157 2.31661 C 2.26326 1.28874 0.72359 C 4.46808 2.41375 2.18822 C 4.57513 2.61064 0.74605 C 5.30856 3.74384 0.15995 C 5.11666 4.19808 -1.27865 C 3.02141 2.60250 0.20805 C 3.03152 2.63427 -1.38631 C 5.31879 1.33509 0.14874 C 5.05215 1.33488 -1.28995 C -3.15311 5.46134 2.71725 C -2.52120 6.62146 2.14729 C -2.08400 6.50513 0.69748 C -4.47375 5.49415 2.14729 C -4.59160 5.05736 0.69748 C -2.31997 4.01830 2.31440 C -2.28841 3.96365 0.71078 C -0.14367 5.07635 2.18822 C -0.02668 5.26750 0.74605 C 0.58798 6.46927 0.15995 C 1.07732 6.53020 -1.27865 C -1.50317 5.27376 0.14874 C -1.37004 5.04273 -1.28995 C 0.74312 3.91787 0.20805 C 0.76559 3.94250 -1.38631 C 2.89443 5.01329 0.15122 C 2.98020 5.16186 -1.28348 C 1.59067 5.32770 -1.92317 C 1.70755 5.17565 -3.36333 C 3.81859 4.04141 -1.92317 C 3.62847 4.06661 -3.36333 C -1.54577 -2.67736 4.89187 C -0.75732 -1.31172 4.48380 C -0.75086 -1.30052 2.84995 C -2.86036 -2.70052 4.30138 C -3.04211 -2.69099 2.85545 C -0.90854 -3.82741 4.30138 C -0.80941 -3.98004 2.85545 C 1.39780 -2.42106 4.30673 C 1.49508 -2.58956 2.86321 C 2.27088 -1.28157 2.31661 C 2.26326 -1.28874 0.72359 C -0.02557 -2.60743 2.31661 C -0.01555 -2.60441 0.72359 C 2.13520 -3.69828 2.19674 C 2.24513 -3.88869 0.76523 C 4.46808 -2.41375 2.18822 C 4.57513 -2.61064 0.74605 C 5.31879 -1.33509 0.14874 C 5.05215 -1.33488 -1.28995 C 3.02141 -2.60250 0.20805 C 3.03152 -2.63427 -1.38631 C 5.30856 -3.74384 0.15995 C 5.11666 -4.19808 -1.27865 C -2.79560 0.00000 4.30673 C -2.99016 0.00000 2.86321 C -2.24531 1.32586 2.31661 C -2.24771 1.31567 0.72359 C -4.27041 0.00000 2.19674 C -4.49027 0.00000 0.76523 C -2.24531 -1.32586 2.31661 C -2.24771 -1.31567 0.72359 C -0.00000 0.00000 2.32182 C -0.00000 0.00000 0.72886 C 0.75097 1.30072 0.19870 C 0.75303 1.30428 -1.38821 C -1.50195 0.00000 0.19870 C -1.50606 0.00000 -1.38821 C 0.75097 -1.30072 0.19870 C 0.75303 -1.30428 -1.38821 C 3.01790 -0.00000 0.20411 C 2.99791 -0.00000 -1.38662 C 3.75903 1.33276 -1.93167 C 3.55205 1.33196 -3.36754 C 1.49184 -0.00000 -1.91548 C 1.49880 -0.00000 -3.52200 C 3.75903 -1.33276 -1.93167 C 3.55205 -1.33196 -3.36754 C -4.32441 2.66260 2.18822 C -4.54845 2.65685 0.74605 C -3.81562 3.93866 0.14874 C -3.68211 3.70785 -1.28995 C -5.89654 2.72543 0.15995 C -6.19398 2.33211 -1.27865 C -3.76454 1.31537 0.20805 C -3.79710 1.30824 -1.38631 C -1.50895 2.61358 0.20411 C -1.49895 2.59626 -1.38662 C -0.72531 3.92179 -1.93167 C -0.62251 3.74214 -3.36754 C -3.03371 2.58904 -1.93167 C -2.92954 2.41018 -3.36754 C -0.74592 1.29197 -1.91548 C -0.74940 1.29799 -3.52200 C 1.51182 2.61855 -1.90919 C 1.52578 2.64272 -3.52336 C 2.31852 4.01579 -3.95119 C 0.02062 2.63660 -4.06169 C 0.13198 2.49320 -5.51487 C 2.27305 1.33616 -4.06169 C 2.09319 1.36090 -5.51487 C -3.15311 -5.46134 2.71725 C -2.31997 -4.01830 2.31440 C -2.28841 -3.96365 0.71078 C -4.47375 -5.49415 2.14729 C -4.59160 -5.05736 0.69748 C -2.52120 -6.62146 2.14729 C -2.08400 -6.50513 0.69748 C -0.14367 -5.07635 2.18822 C -0.02668 -5.26750 0.74605 C 0.74312 -3.91787 0.20805 C 0.76559 -3.94250 -1.38631 C -1.50317 -5.27376 0.14874 C -1.37004 -5.04273 -1.28995 C 0.58798 -6.46927 0.15995 C 1.07732 -6.53020 -1.27865 C 2.89443 -5.01329 0.15122 C 2.98020 -5.16186 -1.28348 C 3.81859 -4.04141 -1.92317 C 3.62847 -4.06661 -3.36333 C 1.59067 -5.32770 -1.92317 C 1.70755 -5.17565 -3.36333 C -4.32441 -2.66260 2.18822 C -4.54845 -2.65685 0.74605 C -3.76454 -1.31537 0.20805 C -3.79710 -1.30824 -1.38631 C -5.89654 -2.72543 0.15995 C -6.19398 -2.33211 -1.27865 C -3.81562 -3.93866 0.14874 C -3.68211 -3.70785 -1.28995 C -1.50895 -2.61358 0.20411 C -1.49895 -2.59626 -1.38662 C -0.74592 -1.29197 -1.91548 C -0.74940 -1.29799 -3.52200 C -3.03371 -2.58904 -1.93167 C -2.92954 -2.41018 -3.36754 C -0.72531 -3.92179 -1.93167 C -0.62251 -3.74214 -3.36754 C 1.51182 -2.61855 -1.90919 C 1.52578 -2.64272 -3.52336 C 2.27305 -1.33616 -4.06169 C 2.09319 -1.36090 -5.51487 C 0.02062 -2.63660 -4.06169 C 0.13198 -2.49320 -5.51487 C 2.31852 -4.01579 -3.95119 C -5.78885 0.00000 0.15122 C -5.96040 0.00000 -1.28348 C -5.40926 1.28629 -1.92317 C -5.33602 1.10904 -3.36333 C -5.40926 -1.28629 -1.92317 C -5.33602 -1.10904 -3.36333 C -3.02364 0.00000 -1.90919 C -3.05156 0.00000 -3.52336 C -2.29367 1.30044 -4.06169 C -2.22516 1.13231 -5.51487 C -4.63703 0.00000 -3.95119 C -2.29367 -1.30044 -4.06169 C -2.22516 -1.13231 -5.51487 C 0.00000 -0.00000 -4.06453 C 0.00000 -0.00000 -5.77233 C 0.77940 1.34996 -6.13263 C -1.55879 0.00000 -6.13263 C 0.77940 -1.34996 -6.13263 """)

53.897561

60

0.351163

1,408

11,049

2.753551

0.196023

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0.019861

0.010317

0.843436

0.827186

0.817385

0.808357

0.790302

0

0.74309

0.567744

11,049

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61

54.161765

0.068677

0.009141

0

0.992313

0

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true

0

0.004975

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null

0

1

0

1

0

1

0

1

0

null

0

1

0

11

c2ee9a8bfc01c0b31702529cb0fd258a9e5c5021

2,235

py

Python

py2asm/blocks/loops.py

malikshahzad228/py2asm

de80070a0a166bc752657040af928da0f3f8be5b

[ "MIT" ]

null

py2asm/blocks/loops.py

malikshahzad228/py2asm

de80070a0a166bc752657040af928da0f3f8be5b

[ "MIT" ]

1

2020-09-05T17:11:09.000Z

2020-09-06T11:24:05.000Z

py2asm/blocks/loops.py

malikshahzad228/py2asm

de80070a0a166bc752657040af928da0f3f8be5b

[ "MIT" ]

2

2020-09-02T08:05:20.000Z

2021-05-26T05:27:56.000Z

from py2asm.constants import JumpTypes from py2asm.blocks.block import Block class While(Block): template = """{condition} {jmp_type:<8} {name} RET {name}: {children} {condition} {jmp_type:<8} {name} """ def __init__(self, exp): if type(exp) == JumpTypes: self.jump_type = exp self.condition_instructions = [] elif type(exp) == tuple and len(exp) == 2 and type(exp[1]) == JumpTypes: self.condition_instructions, self.jump_type = exp else: raise ValueError('Expected expression got {}'.format(type(exp))) super().__init__() def get_condition(self): lines = '\n'.join(c.render() for c in self.condition_instructions).split('\n') return '\n'.join( (' ' * self.indent) + line for line in lines ) def render(self): i = self.root.loop_counter self.root.loop_counter += 1 return self.template.format( name=f"loop{i if i != 0 else ''}", jmp_type=self.jump_type.value, condition=self.get_condition(), children=self.render_children() ) class DoWhile(Block): template = """ {name}: {children} {condition} {jmp_type:<8} {name} """ def __init__(self, exp): if type(exp) == JumpTypes: self.jump_type = exp self.condition_instructions = [] elif type(exp) == tuple and len(exp) == 2 and type(exp[1]) == JumpTypes: self.condition_instructions, self.jump_type = exp else: raise ValueError('Expected expression got {}'.format(type(exp))) super().__init__() def get_condition(self): lines = '\n'.join(c.render() for c in self.condition_instructions).split('\n') return '\n'.join( (' ' * self.indent) + line for line in lines ) def render(self): i = self.root.loop_counter self.root.loop_counter += 1 return self.template.format( name=f"loop{i if i != 0 else ''}", jmp_type=self.jump_type.value, condition=self.get_condition(), children=self.render_children() )

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null

0

7

668761e09ec4c272a67f16ab05678a3a5ec7b442

4,132

py

Python

onmt/mymodules/utils_gnn.py

UKPLab/emnlp2019-dualgraph

da38be675c392af43db436e3b2f0c8ff355c04f9

[ "MIT" ]

25

2019-09-05T07:57:45.000Z

2021-12-08T01:59:57.000Z

onmt/mymodules/utils_gnn.py

15071347094/emnlp2019-dualgraph

0c58fb7f3ad3b9da3b92b2d2841558807fc79fd0

[ "MIT" ]

2

2020-11-21T00:41:44.000Z

2020-11-25T00:36:19.000Z

onmt/mymodules/utils_gnn.py

15071347094/emnlp2019-dualgraph

0c58fb7f3ad3b9da3b92b2d2841558807fc79fd0

[ "MIT" ]

6

2020-01-27T22:54:56.000Z

2020-11-24T02:48:05.000Z

#!/usr/bin/env python # -*- coding: utf-8 -*- import torch import torch.autograd as autograd from torch_geometric.data import Data, Batch def get_batch_gnn_td(batch, embeddings): use_cuda = batch.src[0].is_cuda node1_index = batch.node1[0].data.transpose(0, 1) # [ seqLen x batch_size ] ==> [ batch_size x seqLen ] node2_index = batch.node2[0].data.transpose(0, 1) node1_voc = batch.dataset.fields['node1'].base_field.vocab.itos node2_voc = batch.dataset.fields['node2'].base_field.vocab.itos label_voc = batch.dataset.fields['src'].base_field.vocab.itos sent_mask_original = torch.lt(torch.eq(batch.src[0][:, :, 0].data, 1), 1) # [ seqLen x batch_size ] sent_mask = sent_mask_original.permute(1, 0).contiguous() sent_mask = autograd.Variable(torch.FloatTensor(sent_mask.tolist()), requires_grad=False) sent_mask_original = autograd.Variable(torch.FloatTensor(sent_mask_original.tolist()), requires_grad=False) if use_cuda: sent_mask = sent_mask.cuda() sent_mask_original = sent_mask_original.cuda() embeddings = embeddings * sent_mask.unsqueeze(2) edges_index = [] for d, de in enumerate(node1_index): edge_index_1 = [] edge_index_2 = [] for a, arc in enumerate(de): arc_0 = label_voc[node1_index[d, a]] arc_1 = label_voc[node2_index[d, a]] if arc_0 == '<unk>' or arc_0 == '<pad>' or arc_0 == '<blank>': pass elif arc_1 == '<unk>' or arc_1 == '<pad>' or arc_1 == '<blank>': pass else: arc_1 = int(node1_voc[arc]) arc_2 = int(node2_voc[node2_index[d, a]]) edge_index_1.append(arc_2) edge_index_2.append(arc_1) edges_index.append(torch.tensor([edge_index_1, edge_index_2], dtype=torch.long)) assert len(edges_index) == embeddings.data.shape[0] list_geometric_data = [] for idx, emb in enumerate(embeddings): data = Data(x=emb, edge_index=edges_index[idx]) list_geometric_data.append(data) return Batch.from_data_list(list_geometric_data).to('cuda'), sent_mask_original def get_batch_gnn_bu(batch, embeddings): use_cuda = batch.src[0].is_cuda node1_index = batch.node1[0].data.transpose(0, 1) node2_index = batch.node2[0].data.transpose(0, 1) node1_voc = batch.dataset.fields['node1'].base_field.vocab.itos node2_voc = batch.dataset.fields['node2'].base_field.vocab.itos label_voc = batch.dataset.fields['src'].base_field.vocab.itos sent_mask_original = torch.lt(torch.eq(batch.src[0][:, :, 0].data, 1), 1) sent_mask = sent_mask_original.permute(1, 0).contiguous() sent_mask = autograd.Variable(torch.FloatTensor(sent_mask.tolist()), requires_grad=False) sent_mask_original = autograd.Variable(torch.FloatTensor(sent_mask_original.tolist()), requires_grad=False) if use_cuda: sent_mask = sent_mask.cuda() sent_mask_original = sent_mask_original.cuda() embeddings = embeddings * sent_mask.unsqueeze(2) edges_index = [] for d, de in enumerate(node1_index): edge_index_1 = [] edge_index_2 = [] for a, arc in enumerate(de): arc_0 = label_voc[node1_index[d, a]] arc_1 = label_voc[node2_index[d, a]] if arc_0 == '<unk>' or arc_0 == '<pad>' or arc_0 == '<blank>': pass elif arc_1 == '<unk>' or arc_1 == '<pad>' or arc_1 == '<blank>': pass else: arc_1 = int(node1_voc[arc]) arc_2 = int(node2_voc[node2_index[d, a]]) edge_index_1.append(arc_1) edge_index_2.append(arc_2) edges_index.append(torch.tensor([edge_index_1, edge_index_2], dtype=torch.long)) assert len(edges_index) == embeddings.data.shape[0] list_geometric_data = [] for idx, emb in enumerate(embeddings): data = Data(x=emb, edge_index=edges_index[idx]) list_geometric_data.append(data) return Batch.from_data_list(list_geometric_data).to('cuda'), sent_mask_original

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0

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1

0

null

0

1

0

8

66c3502c1d3f592c610ad487507500433916f595

72,700

py

Python

flare/kernels/sc.py

SabariKumar/flare

539257958a960341d6957f1745dffd308b2c1aa4

[ "MIT" ]

null

flare/kernels/sc.py

SabariKumar/flare

539257958a960341d6957f1745dffd308b2c1aa4

[ "MIT" ]

null

flare/kernels/sc.py

SabariKumar/flare

539257958a960341d6957f1745dffd308b2c1aa4

[ "MIT" ]

null

"""Single element 2-, 3-, and 2+3-body kernels. The kernel functions to choose: * Two body: * two_body: force kernel * two_body_en: energy kernel * two_body_grad: gradient of kernel function * two_body_force_en: energy force kernel * Three body: * three_body, * three_body_grad, * three_body_en, * three_body_force_en, * Two plus three body: * two_plus_three_body, * two_plus_three_body_grad, * two_plus_three_en, * two_plus_three_force_en * Two plus three plus many body: * two_plus_three_plus_many_body, * two_plus_three_plus_many_body_grad, * two_plus_three_plus_many_body_en, * two_plus_three_plus_many_body_force_en **Example:** >>> gp_model = GaussianProcess(kernel_name='2b', <other arguments>) """ import numpy as np from math import exp from flare.env import AtomicEnvironment import flare.cutoffs as cf from numba import njit from flare.kernels.kernels import force_helper, grad_constants, grad_helper, \ force_energy_helper, three_body_en_helper, three_body_helper_1, \ three_body_helper_2, three_body_grad_helper_1, three_body_grad_helper_2 # ----------------------------------------------------------------------------- # two plus three body kernels # ----------------------------------------------------------------------------- def two_plus_three_body(env1: AtomicEnvironment, env2: AtomicEnvironment, d1: int, d2: int, hyps, cutoffs, cutoff_func=cf.quadratic_cutoff): """2+3-body single-element kernel between two force components. Args: env1 (AtomicEnvironment): First local environment. env2 (AtomicEnvironment): Second local environment. d1 (int): Force component of the first environment. d2 (int): Force component of the second environment. hyps (np.ndarray): Hyperparameters of the kernel function (sig1, ls1, sig2, ls2, sig_n). cutoffs (np.ndarray): Two-element array containing the 2- and 3-body cutoffs. cutoff_func (Callable): Cutoff function of the kernel. Return: float: Value of the 2+3-body kernel. """ two_term = two_body_jit(env1.bond_array_2, env2.bond_array_2, d1, d2, hyps[0], hyps[1], cutoffs[0], cutoff_func) three_term = \ three_body_jit(env1.bond_array_3, env2.bond_array_3, env1.cross_bond_inds, env2.cross_bond_inds, env1.cross_bond_dists, env2.cross_bond_dists, env1.triplet_counts, env2.triplet_counts, d1, d2, hyps[2], hyps[3], cutoffs[1], cutoff_func) return two_term + three_term def two_plus_three_body_grad(env1, env2, d1, d2, hyps, cutoffs, cutoff_func=cf.quadratic_cutoff): """2+3-body single-element kernel between two force components and its gradient with respect to the hyperparameters. Args: env1 (AtomicEnvironment): First local environment. env2 (AtomicEnvironment): Second local environment. d1 (int): Force component of the first environment. d2 (int): Force component of the second environment. hyps (np.ndarray): Hyperparameters of the kernel function (sig1, ls1, sig2, ls2, sig_n). cutoffs (np.ndarray): Two-element array containing the 2- and 3-body cutoffs. cutoff_func (Callable): Cutoff function of the kernel. Return: (float, np.ndarray): Value of the 2+3-body kernel and its gradient with respect to the hyperparameters. """ kern2, ls2, sig2 = \ two_body_grad_jit(env1.bond_array_2, env2.bond_array_2, d1, d2, hyps[0], hyps[1], cutoffs[0], cutoff_func) kern3, sig3, ls3 = \ three_body_grad_jit(env1.bond_array_3, env2.bond_array_3, env1.cross_bond_inds, env2.cross_bond_inds, env1.cross_bond_dists, env2.cross_bond_dists, env1.triplet_counts, env2.triplet_counts, d1, d2, hyps[2], hyps[3], cutoffs[1], cutoff_func) return kern2 + kern3, np.array([sig2, ls2, sig3, ls3]) def two_plus_three_force_en(env1, env2, d1, hyps, cutoffs, cutoff_func=cf.quadratic_cutoff): """2+3-body single-element kernel between a force component and a local energy. Args: env1 (AtomicEnvironment): Local environment associated with the force component. env2 (AtomicEnvironment): Local environment associated with the local energy. d1 (int): Force component of the first environment. hyps (np.ndarray): Hyperparameters of the kernel function (sig1, ls1, sig2, ls2). cutoffs (np.ndarray): Two-element array containing the 2- and 3-body cutoffs. cutoff_func (Callable): Cutoff function of the kernel. Return: float: Value of the 2+3-body force/energy kernel. """ two_term = two_body_force_en_jit(env1.bond_array_2, env2.bond_array_2, d1, hyps[0], hyps[1], cutoffs[0], cutoff_func) / 2 three_term = \ three_body_force_en_jit(env1.bond_array_3, env2.bond_array_3, env1.cross_bond_inds, env2.cross_bond_inds, env1.cross_bond_dists, env2.cross_bond_dists, env1.triplet_counts, env2.triplet_counts, d1, hyps[2], hyps[3], cutoffs[1], cutoff_func) / 3 return two_term + three_term def two_plus_three_en(env1, env2, hyps, cutoffs, cutoff_func=cf.quadratic_cutoff): """2+3-body single-element kernel between two local energies. Args: env1 (AtomicEnvironment): First local environment. env2 (AtomicEnvironment): Second local environment. hyps (np.ndarray): Hyperparameters of the kernel function (sig1, ls1, sig2, ls2). cutoffs (np.ndarray): Two-element array containing the 2- and 3-body cutoffs. cutoff_func (Callable): Cutoff function of the kernel. Return: float: Value of the 2+3-body force/energy kernel. """ two_term = two_body_en_jit(env1.bond_array_2, env2.bond_array_2, hyps[0], hyps[1], cutoffs[0], cutoff_func) three_term = \ three_body_en_jit(env1.bond_array_3, env2.bond_array_3, env1.cross_bond_inds, env2.cross_bond_inds, env1.cross_bond_dists, env2.cross_bond_dists, env1.triplet_counts, env2.triplet_counts, hyps[2], hyps[3], cutoffs[1], cutoff_func) return two_term + three_term # ----------------------------------------------------------------------------- # two plus three plus many body kernels # ----------------------------------------------------------------------------- def two_plus_three_plus_many_body(env1: AtomicEnvironment, env2: AtomicEnvironment, d1: int, d2: int, hyps, cutoffs, cutoff_func=cf.quadratic_cutoff): """2+3-body single-element kernel between two force components. Args: env1 (AtomicEnvironment): First local environment. env2 (AtomicEnvironment): Second local environment. d1 (int): Force component of the first environment. d2 (int): Force component of the second environment. hyps (np.ndarray): Hyperparameters of the kernel function (sig2, ls2, sig3, ls3, sigm, lsm, sig_n). cutoffs (np.ndarray): Two-element array containing the 2- and 3-body cutoffs. cutoff_func (Callable): Cutoff function of the kernel. Return: float: Value of the 2+3+many-body kernel. """ two_term = two_body_jit(env1.bond_array_2, env2.bond_array_2, d1, d2, hyps[0], hyps[1], cutoffs[0], cutoff_func) three_term = \ three_body_jit(env1.bond_array_3, env2.bond_array_3, env1.cross_bond_inds, env2.cross_bond_inds, env1.cross_bond_dists, env2.cross_bond_dists, env1.triplet_counts, env2.triplet_counts, d1, d2, hyps[2], hyps[3], cutoffs[1], cutoff_func) many_term = many_body_jit(env1.bond_array_mb, env2.bond_array_mb, env1.neigh_dists_mb, env2.neigh_dists_mb, env1.num_neighs_mb, env2.num_neighs_mb, d1, d2, hyps[4], hyps[5], cutoffs[2], cutoff_func) return two_term + three_term + many_term def two_plus_three_plus_many_body_grad(env1: AtomicEnvironment, env2: AtomicEnvironment, d1: int, d2: int, hyps, cutoffs, cutoff_func=cf.quadratic_cutoff): """2+3+many-body single-element kernel between two force components. Args: env1 (AtomicEnvironment): First local environment. env2 (AtomicEnvironment): Second local environment. d1 (int): Force component of the first environment. d2 (int): Force component of the second environment. hyps (np.ndarray): Hyperparameters of the kernel function (sig2, ls2, sig3, ls3, sigm, lsm, sig_n). cutoffs (np.ndarray): Two-element array containing the 2- and 3-body cutoffs. cutoff_func (Callable): Cutoff function of the kernel. Return: float: Value of the 2+3+many-body kernel. """ kern2, ls2, sig2 = \ two_body_grad_jit(env1.bond_array_2, env2.bond_array_2, d1, d2, hyps[0], hyps[1], cutoffs[0], cutoff_func) kern3, sig3, ls3 = \ three_body_grad_jit(env1.bond_array_3, env2.bond_array_3, env1.cross_bond_inds, env2.cross_bond_inds, env1.cross_bond_dists, env2.cross_bond_dists, env1.triplet_counts, env2.triplet_counts, d1, d2, hyps[2], hyps[3], cutoffs[1], cutoff_func) kern_many, sigm, lsm = many_body_grad_jit(env1.bond_array_mb, env2.bond_array_mb, env1.neigh_dists_mb, env2.neigh_dists_mb, env1.num_neighs_mb, env2.num_neighs_mb, d1, d2, hyps[4], hyps[5], cutoffs[2], cutoff_func) return kern2 + kern3 + kern_many, np.array([sig2, ls2, sig3, ls3, sigm, lsm]) def two_plus_three_plus_many_body_force_en(env1: AtomicEnvironment, env2: AtomicEnvironment, d1: int, hyps, cutoffs, cutoff_func=cf.quadratic_cutoff): """2+3+many-body single-element kernel between two force and energy components. Args: env1 (AtomicEnvironment): First local environment. env2 (AtomicEnvironment): Second local environment. d1 (int): Force component of the first environment. hyps (np.ndarray): Hyperparameters of the kernel function (sig2, ls2, sig3, ls3, sigm, lsm, sig_n). cutoffs (np.ndarray): Two-element array containing the 2- and 3-body cutoffs. cutoff_func (Callable): Cutoff function of the kernel. Return: float: Value of the 2+3+many-body kernel. """ two_term = two_body_force_en_jit(env1.bond_array_2, env2.bond_array_2, d1, hyps[0], hyps[1], cutoffs[0], cutoff_func) / 2 three_term = \ three_body_force_en_jit(env1.bond_array_3, env2.bond_array_3, env1.cross_bond_inds, env2.cross_bond_inds, env1.cross_bond_dists, env2.cross_bond_dists, env1.triplet_counts, env2.triplet_counts, d1, hyps[2], hyps[3], cutoffs[1], cutoff_func) / 3 many_term = many_body_force_en_jit(env1.bond_array_mb, env2.bond_array_mb, env1.neigh_dists_mb, env1.num_neighs_mb, d1, hyps[4], hyps[5], cutoffs[2], cutoff_func) return two_term + three_term + many_term def two_plus_three_plus_many_body_en(env1: AtomicEnvironment, env2: AtomicEnvironment, hyps, cutoffs, cutoff_func=cf.quadratic_cutoff): """2+3+many-body single-element energy kernel. Args: env1 (AtomicEnvironment): First local environment. env2 (AtomicEnvironment): Second local environment. hyps (np.ndarray): Hyperparameters of the kernel function (sig2, ls2, sig3, ls3, sigm, lsm, sig_n). cutoffs (np.ndarray): Two-element array containing the 2- and 3-body cutoffs. cutoff_func (Callable): Cutoff function of the kernel. Return: float: Value of the 2+3+many-body kernel. """ two_term = two_body_en_jit(env1.bond_array_2, env2.bond_array_2, hyps[0], hyps[1], cutoffs[0], cutoff_func) three_term = \ three_body_en_jit(env1.bond_array_3, env2.bond_array_3, env1.cross_bond_inds, env2.cross_bond_inds, env1.cross_bond_dists, env2.cross_bond_dists, env1.triplet_counts, env2.triplet_counts, hyps[2], hyps[3], cutoffs[1], cutoff_func) many_term = many_body_en_jit(env1.bond_array_mb, env2.bond_array_mb, hyps[4], hyps[5], cutoffs[2], cutoff_func) return two_term + three_term + many_term # ----------------------------------------------------------------------------- # two body kernels # ----------------------------------------------------------------------------- def two_body(env1, env2, d1, d2, hyps, cutoffs, cutoff_func=cf.quadratic_cutoff): """2-body single-element kernel between two force components. Args: env1 (AtomicEnvironment): First local environment. env2 (AtomicEnvironment): Second local environment. d1 (int): Force component of the first environment. d2 (int): Force component of the second environment. hyps (np.ndarray): Hyperparameters of the kernel function (sig, ls). cutoffs (np.ndarray): One-element array containing the 2-body cutoff. cutoff_func (Callable): Cutoff function of the kernel. Return: float: Value of the 2-body kernel. """ sig = hyps[0] ls = hyps[1] r_cut = cutoffs[0] return two_body_jit(env1.bond_array_2, env2.bond_array_2, d1, d2, sig, ls, r_cut, cutoff_func) def two_body_grad(env1, env2, d1, d2, hyps, cutoffs, cutoff_func=cf.quadratic_cutoff): """2-body single-element kernel between two force components and its gradient with respect to the hyperparameters. Args: env1 (AtomicEnvironment): First local environment. env2 (AtomicEnvironment): Second local environment. d1 (int): Force component of the first environment. d2 (int): Force component of the second environment. hyps (np.ndarray): Hyperparameters of the kernel function (sig, ls). cutoffs (np.ndarray): One-element array containing the 2-body cutoff. cutoff_func (Callable): Cutoff function of the kernel. Return: (float, np.ndarray): Value of the 2-body kernel and its gradient with respect to the hyperparameters. """ sig = hyps[0] ls = hyps[1] r_cut = cutoffs[0] kernel, ls_derv, sig_derv = \ two_body_grad_jit(env1.bond_array_2, env2.bond_array_2, d1, d2, sig, ls, r_cut, cutoff_func) kernel_grad = np.array([sig_derv, ls_derv]) return kernel, kernel_grad def two_body_force_en(env1, env2, d1, hyps, cutoffs, cutoff_func=cf.quadratic_cutoff): """2-body single-element kernel between a force component and a local energy. Args: env1 (AtomicEnvironment): Local environment associated with the force component. env2 (AtomicEnvironment): Local environment associated with the local energy. d1 (int): Force component of the first environment. hyps (np.ndarray): Hyperparameters of the kernel function (sig, ls). cutoffs (np.ndarray): One-element array containing the 2-body cutoff. cutoff_func (Callable): Cutoff function of the kernel. Return: float: Value of the 2-body force/energy kernel. """ sig = hyps[0] ls = hyps[1] r_cut = cutoffs[0] # divide by two to account for double counting return two_body_force_en_jit(env1.bond_array_2, env2.bond_array_2, d1, sig, ls, r_cut, cutoff_func) / 2 def two_body_en(env1, env2, hyps, cutoffs, cutoff_func=cf.quadratic_cutoff): """2-body single-element kernel between two local energies. Args: env1 (AtomicEnvironment): First local environment. env2 (AtomicEnvironment): Second local environment. hyps (np.ndarray): Hyperparameters of the kernel function (sig, ls). cutoffs (np.ndarray): One-element array containing the 2-body cutoff. cutoff_func (Callable): Cutoff function of the kernel. Return: float: Value of the 2-body force/energy kernel. """ sig = hyps[0] ls = hyps[1] r_cut = cutoffs[0] return two_body_en_jit(env1.bond_array_2, env2.bond_array_2, sig, ls, r_cut, cutoff_func) # ----------------------------------------------------------------------------- # three body kernels # ----------------------------------------------------------------------------- def three_body(env1, env2, d1, d2, hyps, cutoffs, cutoff_func=cf.quadratic_cutoff): """3-body single-element kernel between two force components. Args: env1 (AtomicEnvironment): First local environment. env2 (AtomicEnvironment): Second local environment. d1 (int): Force component of the first environment. d2 (int): Force component of the second environment. hyps (np.ndarray): Hyperparameters of the kernel function (sig, ls). cutoffs (np.ndarray): Two-element array containing the 2- and 3-body cutoffs. cutoff_func (Callable): Cutoff function of the kernel. Return: float: Value of the 3-body kernel. """ sig = hyps[0] ls = hyps[1] r_cut = cutoffs[1] return three_body_jit(env1.bond_array_3, env2.bond_array_3, env1.cross_bond_inds, env2.cross_bond_inds, env1.cross_bond_dists, env2.cross_bond_dists, env1.triplet_counts, env2.triplet_counts, d1, d2, sig, ls, r_cut, cutoff_func) def three_body_grad(env1, env2, d1, d2, hyps, cutoffs, cutoff_func=cf.quadratic_cutoff): """3-body single-element kernel between two force components and its gradient with respect to the hyperparameters. Args: env1 (AtomicEnvironment): First local environment. env2 (AtomicEnvironment): Second local environment. d1 (int): Force component of the first environment. d2 (int): Force component of the second environment. hyps (np.ndarray): Hyperparameters of the kernel function (sig, ls). cutoffs (np.ndarray): Two-element array containing the 2- and 3-body cutoffs. cutoff_func (Callable): Cutoff function of the kernel. Return: (float, np.ndarray): Value of the 3-body kernel and its gradient with respect to the hyperparameters. """ sig = hyps[0] ls = hyps[1] r_cut = cutoffs[1] kernel, sig_derv, ls_derv = three_body_grad_jit(env1.bond_array_3, env2.bond_array_3, env1.cross_bond_inds, env2.cross_bond_inds, env1.cross_bond_dists, env2.cross_bond_dists, env1.triplet_counts, env2.triplet_counts, d1, d2, sig, ls, r_cut, cutoff_func) kernel_grad = np.array([sig_derv, ls_derv]) return kernel, kernel_grad def three_body_force_en(env1, env2, d1, hyps, cutoffs, cutoff_func=cf.quadratic_cutoff): """3-body single-element kernel between a force component and a local energy. Args: env1 (AtomicEnvironment): Local environment associated with the force component. env2 (AtomicEnvironment): Local environment associated with the local energy. d1 (int): Force component of the first environment. hyps (np.ndarray): Hyperparameters of the kernel function (sig, ls). cutoffs (np.ndarray): Two-element array containing the 2- and 3-body cutoffs. cutoff_func (Callable): Cutoff function of the kernel. Return: float: Value of the 3-body force/energy kernel. """ sig = hyps[0] ls = hyps[1] r_cut = cutoffs[1] # divide by three to account for triple counting return three_body_force_en_jit(env1.bond_array_3, env2.bond_array_3, env1.cross_bond_inds, env2.cross_bond_inds, env1.cross_bond_dists, env2.cross_bond_dists, env1.triplet_counts, env2.triplet_counts, d1, sig, ls, r_cut, cutoff_func) / 3 def three_body_en(env1, env2, hyps, cutoffs, cutoff_func=cf.quadratic_cutoff): """3-body single-element kernel between two local energies. Args: env1 (AtomicEnvironment): First local environment. env2 (AtomicEnvironment): Second local environment. hyps (np.ndarray): Hyperparameters of the kernel function (sig, ls). cutoffs (np.ndarray): Two-element array containing the 2- and 3-body cutoffs. cutoff_func (Callable): Cutoff function of the kernel. Return: float: Value of the 3-body force/energy kernel. """ sig = hyps[0] ls = hyps[1] r_cut = cutoffs[1] return three_body_en_jit(env1.bond_array_3, env2.bond_array_3, env1.cross_bond_inds, env2.cross_bond_inds, env1.cross_bond_dists, env2.cross_bond_dists, env1.triplet_counts, env2.triplet_counts, sig, ls, r_cut, cutoff_func) # ----------------------------------------------------------------------------- # many body kernels # ----------------------------------------------------------------------------- def many_body(env1, env2, d1, d2, hyps, cutoffs, cutoff_func=cf.quadratic_cutoff): """many-body single-element kernel between two forces. Args: env1 (AtomicEnvironment): First local environment. env2 (AtomicEnvironment): Second local environment. d1 (int): Force component of the first environment. d2 (int): Force component of the second environment. hyps (np.ndarray): Hyperparameters of the kernel function (sig, ls). cutoffs (np.ndarray): Two-element array containing the 2-, 3-, and many-body cutoffs. cutoff_func (Callable): Cutoff function of the kernel. Return: float: Value of the many-body force/force kernel. """ sig = hyps[0] ls = hyps[1] r_cut = cutoffs[2] bond_array_1 = env1.bond_array_mb bond_array_2 = env2.bond_array_mb neigh_dists_1 = env1.neigh_dists_mb num_neigh_1 = env1.num_neighs_mb neigh_dists_2 = env2.neigh_dists_mb num_neigh_2 = env2.num_neighs_mb return many_body_jit(bond_array_1, bond_array_2, neigh_dists_1, neigh_dists_2, num_neigh_1, num_neigh_2, d1, d2, sig, ls, r_cut, cutoff_func) def many_body_grad(env1, env2, d1, d2, hyps, cutoffs, cutoff_func=cf.quadratic_cutoff): """many-body single-element kernel between two force components and its gradient with respect to the hyperparameters. Args: env1 (AtomicEnvironment): First local environment. env2 (AtomicEnvironment): Second local environment. d1 (int): Force component of the first environment. d2 (int): Force component of the second environment. hyps (np.ndarray): Hyperparameters of the kernel function (sig, ls). cutoffs (np.ndarray): Two-element array containing the 2-, 3-, and many-body cutoffs. cutoff_func (Callable): Cutoff function of the kernel. Return: (float, np.ndarray): Value of the many-body kernel and its gradient with respect to the hyperparameters. """ sig = hyps[0] ls = hyps[1] r_cut = cutoffs[2] bond_array_1 = env1.bond_array_mb bond_array_2 = env2.bond_array_mb neigh_dists_1 = env1.neigh_dists_mb num_neigh_1 = env1.num_neighs_mb neigh_dists_2 = env2.neigh_dists_mb num_neigh_2 = env2.num_neighs_mb kernel, sig_derv, ls_derv = many_body_grad_jit(bond_array_1, bond_array_2, neigh_dists_1, neigh_dists_2, num_neigh_1, num_neigh_2, d1, d2, sig, ls, r_cut, cutoff_func) kernel_grad = np.array([sig_derv, ls_derv]) return kernel, kernel_grad def many_body_force_en(env1, env2, d1, hyps, cutoffs, cutoff_func=cf.quadratic_cutoff): """many-body single-element kernel between two local energies. Args: env1 (AtomicEnvironment): First local environment. env2 (AtomicEnvironment): Second local environment. hyps (np.ndarray): Hyperparameters of the kernel function (sig, ls). cutoffs (np.ndarray): Two-element array containing the 2-, 3-, and many-body cutoffs. cutoff_func (Callable): Cutoff function of the kernel. Return: float: Value of the many-body force/energy kernel. """ sig = hyps[0] ls = hyps[1] r_cut = cutoffs[2] # divide by three to account for triple counting return many_body_force_en_jit(env1.bond_array_mb, env2.bond_array_mb, env1.neigh_dists_mb, env2.num_neighs_mb, d1, sig, ls, r_cut, cutoff_func) def many_body_en(env1, env2, hyps, cutoffs, cutoff_func=cf.quadratic_cutoff): """many-body single-element kernel between two local energies. Args: env1 (AtomicEnvironment): First local environment. env2 (AtomicEnvironment): Second local environment. hyps (np.ndarray): Hyperparameters of the kernel function (sig, ls). cutoffs (np.ndarray): Two-element array containing the 2-, 3-, and many-body cutoffs. cutoff_func (Callable): Cutoff function of the kernel. Return: float: Value of the many-body energy/energy kernel. """ sig = hyps[0] ls = hyps[1] r_cut = cutoffs[2] bond_array_1 = env1.bond_array_mb bond_array_2 = env2.bond_array_mb return many_body_en_jit(bond_array_1, bond_array_2, sig, ls, r_cut, cutoff_func) # ----------------------------------------------------------------------------- # two body numba functions # ----------------------------------------------------------------------------- @njit def two_body_jit(bond_array_1, bond_array_2, d1, d2, sig, ls, r_cut, cutoff_func): """2-body single-element kernel between two force components accelerated with Numba. Args: bond_array_1 (np.ndarray): 2-body bond array of the first local environment. bond_array_2 (np.ndarray): 2-body bond array of the second local environment. d1 (int): Force component of the first environment (1=x, 2=y, 3=z). d2 (int): Force component of the second environment (1=x, 2=y, 3=z). sig (float): 2-body signal variance hyperparameter. ls (float): 2-body length scale hyperparameter. r_cut (float): 2-body cutoff radius. cutoff_func (Callable): Cutoff function. Return: float: Value of the 2-body kernel. """ kern = 0 ls1 = 1 / (2 * ls * ls) ls2 = 1 / (ls * ls) ls3 = ls2 * ls2 sig2 = sig * sig for m in range(bond_array_1.shape[0]): ri = bond_array_1[m, 0] ci = bond_array_1[m, d1] fi, fdi = cutoff_func(r_cut, ri, ci) for n in range(bond_array_2.shape[0]): rj = bond_array_2[n, 0] cj = bond_array_2[n, d2] fj, fdj = cutoff_func(r_cut, rj, cj) r11 = ri - rj A = ci * cj B = r11 * ci C = r11 * cj D = r11 * r11 kern += force_helper(A, B, C, D, fi, fj, fdi, fdj, ls1, ls2, ls3, sig2) return kern @njit def two_body_grad_jit(bond_array_1, bond_array_2, d1, d2, sig, ls, r_cut, cutoff_func): """2-body single-element kernel between two force components and its gradient with respect to the hyperparameters. Args: bond_array_1 (np.ndarray): 2-body bond array of the first local environment. bond_array_2 (np.ndarray): 2-body bond array of the second local environment. d1 (int): Force component of the first environment (1=x, 2=y, 3=z). d2 (int): Force component of the second environment (1=x, 2=y, 3=z). sig (float): 2-body signal variance hyperparameter. ls (float): 2-body length scale hyperparameter. r_cut (float): 2-body cutoff radius. cutoff_func (Callable): Cutoff function. Returns: (float, float): Value of the 2-body kernel and its gradient with respect to the hyperparameters. """ kern = 0 sig_derv = 0 ls_derv = 0 sig2, sig3, ls1, ls2, ls3, ls4, ls5, ls6 = grad_constants(sig, ls) for m in range(bond_array_1.shape[0]): ri = bond_array_1[m, 0] ci = bond_array_1[m, d1] fi, fdi = cutoff_func(r_cut, ri, ci) for n in range(bond_array_2.shape[0]): rj = bond_array_2[n, 0] cj = bond_array_2[n, d2] fj, fdj = cutoff_func(r_cut, rj, cj) r11 = ri - rj A = ci * cj B = r11 * ci C = r11 * cj D = r11 * r11 kern_term, sig_term, ls_term = \ grad_helper(A, B, C, D, fi, fj, fdi, fdj, ls1, ls2, ls3, ls4, ls5, ls6, sig2, sig3) kern += kern_term sig_derv += sig_term ls_derv += ls_term return kern, ls_derv, sig_derv @njit def two_body_force_en_jit(bond_array_1, bond_array_2, d1, sig, ls, r_cut, cutoff_func): """2-body single-element kernel between a force component and a local energy accelerated with Numba. Args: bond_array_1 (np.ndarray): 2-body bond array of the first local environment. bond_array_2 (np.ndarray): 2-body bond array of the second local environment. d1 (int): Force component of the first environment (1=x, 2=y, 3=z). sig (float): 2-body signal variance hyperparameter. ls (float): 2-body length scale hyperparameter. r_cut (float): 2-body cutoff radius. cutoff_func (Callable): Cutoff function. Returns: float: Value of the 2-body force/energy kernel. """ kern = 0 ls1 = 1 / (2 * ls * ls) ls2 = 1 / (ls * ls) sig2 = sig * sig for m in range(bond_array_1.shape[0]): ri = bond_array_1[m, 0] ci = bond_array_1[m, d1] fi, fdi = cutoff_func(r_cut, ri, ci) for n in range(bond_array_2.shape[0]): rj = bond_array_2[n, 0] fj, _ = cutoff_func(r_cut, rj, 0) r11 = ri - rj B = r11 * ci D = r11 * r11 kern += force_energy_helper(B, D, fi, fj, fdi, ls1, ls2, sig2) return kern @njit def two_body_en_jit(bond_array_1, bond_array_2, sig, ls, r_cut, cutoff_func): """2-body single-element kernel between two local energies accelerated with Numba. Args: bond_array_1 (np.ndarray): 2-body bond array of the first local environment. bond_array_2 (np.ndarray): 2-body bond array of the second local environment. sig (float): 2-body signal variance hyperparameter. ls (float): 2-body length scale hyperparameter. r_cut (float): 2-body cutoff radius. cutoff_func (Callable): Cutoff function. Returns: float: Value of the 2-body local energy kernel. """ kern = 0 ls1 = 1 / (2 * ls * ls) sig2 = sig * sig for m in range(bond_array_1.shape[0]): ri = bond_array_1[m, 0] fi, _ = cutoff_func(r_cut, ri, 0) for n in range(bond_array_2.shape[0]): rj = bond_array_2[n, 0] fj, _ = cutoff_func(r_cut, rj, 0) r11 = ri - rj kern += fi * fj * sig2 * exp(-r11 * r11 * ls1) return kern # ----------------------------------------------------------------------------- # three body numba functions # ----------------------------------------------------------------------------- @njit def three_body_jit(bond_array_1, bond_array_2, cross_bond_inds_1, cross_bond_inds_2, cross_bond_dists_1, cross_bond_dists_2, triplets_1, triplets_2, d1, d2, sig, ls, r_cut, cutoff_func): """3-body single-element kernel between two force components accelerated with Numba. Args: bond_array_1 (np.ndarray): 3-body bond array of the first local environment. bond_array_2 (np.ndarray): 3-body bond array of the second local environment. cross_bond_inds_1 (np.ndarray): Two dimensional array whose row m contains the indices of atoms n > m in the first local environment that are within a distance r_cut of both atom n and the central atom. cross_bond_inds_2 (np.ndarray): Two dimensional array whose row m contains the indices of atoms n > m in the second local environment that are within a distance r_cut of both atom n and the central atom. cross_bond_dists_1 (np.ndarray): Two dimensional array whose row m contains the distances from atom m of atoms n > m in the first local environment that are within a distance r_cut of both atom n and the central atom. cross_bond_dists_2 (np.ndarray): Two dimensional array whose row m contains the distances from atom m of atoms n > m in the second local environment that are within a distance r_cut of both atom n and the central atom. triplets_1 (np.ndarray): One dimensional array of integers whose entry m is the number of atoms in the first local environment that are within a distance r_cut of atom m. triplets_2 (np.ndarray): One dimensional array of integers whose entry m is the number of atoms in the second local environment that are within a distance r_cut of atom m. d1 (int): Force component of the first environment. d2 (int): Force component of the second environment. sig (float): 3-body signal variance hyperparameter. ls (float): 3-body length scale hyperparameter. r_cut (float): 3-body cutoff radius. cutoff_func (Callable): Cutoff function. Return: float: Value of the 3-body kernel. """ kern = 0 # pre-compute constants that appear in the inner loop sig2 = sig * sig ls1 = 1 / (2 * ls * ls) ls2 = 1 / (ls * ls) ls3 = ls2 * ls2 for m in range(bond_array_1.shape[0]): ri1 = bond_array_1[m, 0] ci1 = bond_array_1[m, d1] fi1, fdi1 = cutoff_func(r_cut, ri1, ci1) for n in range(triplets_1[m]): ind1 = cross_bond_inds_1[m, m + n + 1] ri2 = bond_array_1[ind1, 0] ci2 = bond_array_1[ind1, d1] fi2, fdi2 = cutoff_func(r_cut, ri2, ci2) ri3 = cross_bond_dists_1[m, m + n + 1] fi3, _ = cutoff_func(r_cut, ri3, 0) fi = fi1 * fi2 * fi3 fdi = fdi1 * fi2 * fi3 + fi1 * fdi2 * fi3 for p in range(bond_array_2.shape[0]): rj1 = bond_array_2[p, 0] cj1 = bond_array_2[p, d2] fj1, fdj1 = cutoff_func(r_cut, rj1, cj1) for q in range(triplets_2[p]): ind2 = cross_bond_inds_2[p, p + 1 + q] rj2 = bond_array_2[ind2, 0] cj2 = bond_array_2[ind2, d2] fj2, fdj2 = cutoff_func(r_cut, rj2, cj2) rj3 = cross_bond_dists_2[p, p + 1 + q] fj3, _ = cutoff_func(r_cut, rj3, 0) fj = fj1 * fj2 * fj3 fdj = fdj1 * fj2 * fj3 + fj1 * fdj2 * fj3 kern += triplet_kernel(ci1, ci2, cj1, cj2, ri1, ri2, ri3, rj1, rj2, rj3, fi, fj, fdi, fdj, ls1, ls2, ls3, sig2) return kern @njit def three_body_grad_jit(bond_array_1, bond_array_2, cross_bond_inds_1, cross_bond_inds_2, cross_bond_dists_1, cross_bond_dists_2, triplets_1, triplets_2, d1, d2, sig, ls, r_cut, cutoff_func): """3-body single-element kernel between two force components and its gradient with respect to the hyperparameters. Args: bond_array_1 (np.ndarray): 3-body bond array of the first local environment. bond_array_2 (np.ndarray): 3-body bond array of the second local environment. cross_bond_inds_1 (np.ndarray): Two dimensional array whose row m contains the indices of atoms n > m in the first local environment that are within a distance r_cut of both atom n and the central atom. cross_bond_inds_2 (np.ndarray): Two dimensional array whose row m contains the indices of atoms n > m in the second local environment that are within a distance r_cut of both atom n and the central atom. cross_bond_dists_1 (np.ndarray): Two dimensional array whose row m contains the distances from atom m of atoms n > m in the first local environment that are within a distance r_cut of both atom n and the central atom. cross_bond_dists_2 (np.ndarray): Two dimensional array whose row m contains the distances from atom m of atoms n > m in the second local environment that are within a distance r_cut of both atom n and the central atom. triplets_1 (np.ndarray): One dimensional array of integers whose entry m is the number of atoms in the first local environment that are within a distance r_cut of atom m. triplets_2 (np.ndarray): One dimensional array of integers whose entry m is the number of atoms in the second local environment that are within a distance r_cut of atom m. d1 (int): Force component of the first environment. d2 (int): Force component of the second environment. sig (float): 3-body signal variance hyperparameter. ls (float): 3-body length scale hyperparameter. r_cut (float): 3-body cutoff radius. cutoff_func (Callable): Cutoff function. Returns: (float, float): Value of the 3-body kernel and its gradient with respect to the hyperparameters. """ kern = 0 sig_derv = 0 ls_derv = 0 # pre-compute constants that appear in the inner loop sig2, sig3, ls1, ls2, ls3, ls4, ls5, ls6 = grad_constants(sig, ls) for m in range(bond_array_1.shape[0]): ri1 = bond_array_1[m, 0] ci1 = bond_array_1[m, d1] fi1, fdi1 = cutoff_func(r_cut, ri1, ci1) for n in range(triplets_1[m]): ind1 = cross_bond_inds_1[m, m + n + 1] ri3 = cross_bond_dists_1[m, m + n + 1] ri2 = bond_array_1[ind1, 0] ci2 = bond_array_1[ind1, d1] fi2, fdi2 = cutoff_func(r_cut, ri2, ci2) fi3, _ = cutoff_func(r_cut, ri3, 0) fi = fi1 * fi2 * fi3 fdi = fdi1 * fi2 * fi3 + fi1 * fdi2 * fi3 for p in range(bond_array_2.shape[0]): rj1 = bond_array_2[p, 0] cj1 = bond_array_2[p, d2] fj1, fdj1 = cutoff_func(r_cut, rj1, cj1) for q in range(triplets_2[p]): ind2 = cross_bond_inds_2[p, p + q + 1] rj3 = cross_bond_dists_2[p, p + q + 1] rj2 = bond_array_2[ind2, 0] cj2 = bond_array_2[ind2, d2] fj2, fdj2 = cutoff_func(r_cut, rj2, cj2) fj3, _ = cutoff_func(r_cut, rj3, 0) fj = fj1 * fj2 * fj3 fdj = fdj1 * fj2 * fj3 + fj1 * fdj2 * fj3 N, O, X = \ triplet_kernel_grad(ci1, ci2, cj1, cj2, ri1, ri2, ri3, rj1, rj2, rj3, fi, fj, fdi, fdj, ls1, ls2, ls3, ls4, ls5, ls6, sig2, sig3) kern += N sig_derv += O ls_derv += X return kern, sig_derv, ls_derv @njit def three_body_force_en_jit(bond_array_1, bond_array_2, cross_bond_inds_1, cross_bond_inds_2, cross_bond_dists_1, cross_bond_dists_2, triplets_1, triplets_2, d1, sig, ls, r_cut, cutoff_func): """3-body single-element kernel between a force component and a local energy accelerated with Numba. Args: bond_array_1 (np.ndarray): 3-body bond array of the first local environment. bond_array_2 (np.ndarray): 3-body bond array of the second local environment. cross_bond_inds_1 (np.ndarray): Two dimensional array whose row m contains the indices of atoms n > m in the first local environment that are within a distance r_cut of both atom n and the central atom. cross_bond_inds_2 (np.ndarray): Two dimensional array whose row m contains the indices of atoms n > m in the second local environment that are within a distance r_cut of both atom n and the central atom. cross_bond_dists_1 (np.ndarray): Two dimensional array whose row m contains the distances from atom m of atoms n > m in the first local environment that are within a distance r_cut of both atom n and the central atom. cross_bond_dists_2 (np.ndarray): Two dimensional array whose row m contains the distances from atom m of atoms n > m in the second local environment that are within a distance r_cut of both atom n and the central atom. triplets_1 (np.ndarray): One dimensional array of integers whose entry m is the number of atoms in the first local environment that are within a distance r_cut of atom m. triplets_2 (np.ndarray): One dimensional array of integers whose entry m is the number of atoms in the second local environment that are within a distance r_cut of atom m. d1 (int): Force component of the first environment (1=x, 2=y, 3=z). sig (float): 3-body signal variance hyperparameter. ls (float): 3-body length scale hyperparameter. r_cut (float): 3-body cutoff radius. cutoff_func (Callable): Cutoff function. Returns: float: Value of the 3-body force/energy kernel. """ kern = 0 # pre-compute constants that appear in the inner loop sig2 = sig * sig ls1 = 1 / (2 * ls * ls) ls2 = 1 / (ls * ls) for m in range(bond_array_1.shape[0]): ri1 = bond_array_1[m, 0] ci1 = bond_array_1[m, d1] fi1, fdi1 = cutoff_func(r_cut, ri1, ci1) for n in range(triplets_1[m]): ind1 = cross_bond_inds_1[m, m + n + 1] ri2 = bond_array_1[ind1, 0] ci2 = bond_array_1[ind1, d1] fi2, fdi2 = cutoff_func(r_cut, ri2, ci2) ri3 = cross_bond_dists_1[m, m + n + 1] fi3, _ = cutoff_func(r_cut, ri3, 0) fi = fi1 * fi2 * fi3 fdi = fdi1 * fi2 * fi3 + fi1 * fdi2 * fi3 for p in range(bond_array_2.shape[0]): rj1 = bond_array_2[p, 0] fj1, _ = cutoff_func(r_cut, rj1, 0) for q in range(triplets_2[p]): ind2 = cross_bond_inds_2[p, p + q + 1] rj2 = bond_array_2[ind2, 0] fj2, _ = cutoff_func(r_cut, rj2, 0) rj3 = cross_bond_dists_2[p, p + q + 1] fj3, _ = cutoff_func(r_cut, rj3, 0) fj = fj1 * fj2 * fj3 kern += triplet_force_en_kernel(ci1, ci2, ri1, ri2, ri3, rj1, rj2, rj3, fi, fj, fdi, ls1, ls2, sig2) return kern @njit def three_body_en_jit(bond_array_1, bond_array_2, cross_bond_inds_1, cross_bond_inds_2, cross_bond_dists_1, cross_bond_dists_2, triplets_1, triplets_2, sig, ls, r_cut, cutoff_func): """3-body single-element kernel between two local energies accelerated with Numba. Args: bond_array_1 (np.ndarray): 3-body bond array of the first local environment. bond_array_2 (np.ndarray): 3-body bond array of the second local environment. cross_bond_inds_1 (np.ndarray): Two dimensional array whose row m contains the indices of atoms n > m in the first local environment that are within a distance r_cut of both atom n and the central atom. cross_bond_inds_2 (np.ndarray): Two dimensional array whose row m contains the indices of atoms n > m in the second local environment that are within a distance r_cut of both atom n and the central atom. cross_bond_dists_1 (np.ndarray): Two dimensional array whose row m contains the distances from atom m of atoms n > m in the first local environment that are within a distance r_cut of both atom n and the central atom. cross_bond_dists_2 (np.ndarray): Two dimensional array whose row m contains the distances from atom m of atoms n > m in the second local environment that are within a distance r_cut of both atom n and the central atom. triplets_1 (np.ndarray): One dimensional array of integers whose entry m is the number of atoms in the first local environment that are within a distance r_cut of atom m. triplets_2 (np.ndarray): One dimensional array of integers whose entry m is the number of atoms in the second local environment that are within a distance r_cut of atom m. sig (float): 3-body signal variance hyperparameter. ls (float): 3-body length scale hyperparameter. r_cut (float): 3-body cutoff radius. cutoff_func (Callable): Cutoff function. Returns: float: Value of the 3-body local energy kernel. """ kern = 0 sig2 = sig * sig ls2 = 1 / (2 * ls * ls) for m in range(bond_array_1.shape[0]): ri1 = bond_array_1[m, 0] fi1, _ = cutoff_func(r_cut, ri1, 0) for n in range(triplets_1[m]): ind1 = cross_bond_inds_1[m, m + n + 1] ri2 = bond_array_1[ind1, 0] fi2, _ = cutoff_func(r_cut, ri2, 0) ri3 = cross_bond_dists_1[m, m + n + 1] fi3, _ = cutoff_func(r_cut, ri3, 0) fi = fi1 * fi2 * fi3 for p in range(bond_array_2.shape[0]): rj1 = bond_array_2[p, 0] fj1, _ = cutoff_func(r_cut, rj1, 0) for q in range(triplets_2[p]): ind2 = cross_bond_inds_2[p, p + q + 1] rj2 = bond_array_2[ind2, 0] fj2, _ = cutoff_func(r_cut, rj2, 0) rj3 = cross_bond_dists_2[p, p + q + 1] fj3, _ = cutoff_func(r_cut, rj3, 0) fj = fj1 * fj2 * fj3 r11 = ri1 - rj1 r12 = ri1 - rj2 r13 = ri1 - rj3 r21 = ri2 - rj1 r22 = ri2 - rj2 r23 = ri2 - rj3 r31 = ri3 - rj1 r32 = ri3 - rj2 r33 = ri3 - rj3 C1 = r11 * r11 + r22 * r22 + r33 * r33 C2 = r11 * r11 + r23 * r23 + r32 * r32 C3 = r12 * r12 + r21 * r21 + r33 * r33 C4 = r12 * r12 + r23 * r23 + r31 * r31 C5 = r13 * r13 + r21 * r21 + r32 * r32 C6 = r13 * r13 + r22 * r22 + r31 * r31 k = exp(-C1 * ls2) + exp(-C2 * ls2) + exp(-C3 * ls2) + exp(-C4 * ls2) + \ exp(-C5 * ls2) + exp(-C6 * ls2) kern += sig2 * k * fi * fj return kern # ----------------------------------------------------------------------------- # many body numba functions # ----------------------------------------------------------------------------- @njit def many_body_jit(bond_array_1, bond_array_2, neighbouring_dists_array_1, neighbouring_dists_array_2, num_neighbours_1, num_neighbours_2, d1, d2, sig, ls, r_cut, cutoff_func): """many-body single-element kernel between two force components accelerated with Numba. Args: bond_array_1 (np.ndarray): many-body bond array of the first local environment. bond_array_2 (np.ndarray): many-body bond array of the second local environment. neighbouring_dists_array_1 (np.ndarray): matrix padded with zero values of distances of neighbours for the atoms in the first local environment. neighbouring_dists_array_2 (np.ndarray): matrix padded with zero values of distances of neighbours for the atoms in the second local environment. num_neighbours_1 (np.nsdarray): number of neighbours of each atom in the first local environment num_neighbours_2 (np.ndarray): number of neighbours of each atom in the second local environment d1 (int): Force component of the first environment. d2 (int): Force component of the second environment. sig (float): many-body signal variance hyperparameter. ls (float): many-body length scale hyperparameter. r_cut (float): many-body cutoff radius. cutoff_func (Callable): Cutoff function. Return: float: Value of the many-body kernel. """ kern = 0 # Calculate many-body descriptor values for 1 and 2 q1 = q_value(bond_array_1[:, 0], r_cut, cutoff_func) q2 = q_value(bond_array_2[:, 0], r_cut, cutoff_func) k12 = k_sq_exp_double_dev(q1, q2, sig, ls) qis = np.zeros(bond_array_1.shape[0], dtype=np.float64) qi1_grads = np.zeros(bond_array_1.shape[0], dtype=np.float64) ki2s = np.zeros(bond_array_1.shape[0], dtype=np.float64) qjs = np.zeros(bond_array_2.shape[0], dtype=np.float64) qj2_grads = np.zeros(bond_array_2.shape[0], dtype=np.float64) k1js = np.zeros(bond_array_2.shape[0], dtype=np.float64) # Loop over neighbours i of 1 for i in range(bond_array_1.shape[0]): ri1 = bond_array_1[i, 0] ci1 = bond_array_1[i, d1] qi1, qi1_grads[i] = coordination_number(ri1, ci1, r_cut, cutoff_func) # Calculate many-body descriptor value for i qis[i] = q_value(neighbouring_dists_array_1[i, :num_neighbours_1[i]], r_cut, cutoff_func) ki2s[i] = k_sq_exp_double_dev(qis[i], q2, sig, ls) # Loop over neighbours j of 2 for j in range(bond_array_2.shape[0]): rj2 = bond_array_2[j, 0] cj2 = bond_array_2[j, d2] qj2, qj2_grads[j] = coordination_number(rj2, cj2, r_cut, cutoff_func) # Calculate many-body descriptor value for j qjs[j] = q_value(neighbouring_dists_array_2[j, :num_neighbours_2[j]], r_cut, cutoff_func) k1js[j] = k_sq_exp_double_dev(q1, qjs[j], sig, ls) for i in range(bond_array_1.shape[0]): for j in range(bond_array_2.shape[0]): kij = k_sq_exp_double_dev(qis[i], qjs[j], sig, ls) kern += qi1_grads[i] * qj2_grads[j] * \ (k12 + ki2s[i] + k1js[j] + kij) return kern @njit def many_body_grad_jit(bond_array_1, bond_array_2, neighbouring_dists_array_1, neighbouring_dists_array_2, num_neighbours_1, num_neighbours_2, d1, d2, sig, ls, r_cut, cutoff_func): """gradient of many-body single-element kernel between two force components w.r.t. the hyperparameters, accelerated with Numba. Args: bond_array_1 (np.ndarray): many-body bond array of the first local environment. bond_array_2 (np.ndarray): many-body bond array of the second local environment. neighbouring_dists_array_1 (np.ndarray): matrix padded with zero values of distances of neighbours for the atoms in the first local environment. neighbouring_dists_array_2 (np.ndarray): matrix padded with zero values of distances of neighbours for the atoms in the second local environment. num_neighbours_1 (np.nsdarray): number of neighbours of each atom in the first local environment num_neighbours_2 (np.ndarray): number of neighbours of each atom in the second local environment d1 (int): Force component of the first environment. d2 (int): Force component of the second environment. sig (float): many-body signal variance hyperparameter. ls (float): many-body length scale hyperparameter. r_cut (float): many-body cutoff radius. cutoff_func (Callable): Cutoff function. Return: array: Value of the many-body kernel and its gradient w.r.t. sig and ls """ kern = 0 sig_derv = 0 ls_derv = 0 # Calculate many-body descriptor values for 1 and 2 q1 = q_value(bond_array_1[:, 0], r_cut, cutoff_func) q2 = q_value(bond_array_2[:, 0], r_cut, cutoff_func) k12 = k_sq_exp_double_dev(q1, q2, sig, ls) qis = np.zeros(bond_array_1.shape[0], dtype=np.float64) qi1_grads = np.zeros(bond_array_1.shape[0], dtype=np.float64) ki2s = np.zeros(bond_array_1.shape[0], dtype=np.float64) qjs = np.zeros(bond_array_2.shape[0], dtype=np.float64) qj2_grads = np.zeros(bond_array_2.shape[0], dtype=np.float64) k1js = np.zeros(bond_array_2.shape[0], dtype=np.float64) # Compute ki2s, qi1_grads, and qis for i in range(bond_array_1.shape[0]): ri1 = bond_array_1[i, 0] ci1 = bond_array_1[i, d1] qi1, qi1_grads[i] = coordination_number(ri1, ci1, r_cut, cutoff_func) # Calculate many-body descriptor value for i qis[i] = q_value(neighbouring_dists_array_1[i, :num_neighbours_1[i]], r_cut, cutoff_func) ki2s[i] = k_sq_exp_double_dev(qis[i], q2, sig, ls) # Compute k1js, qj2_grads and qjs for j in range(bond_array_2.shape[0]): rj2 = bond_array_2[j, 0] cj2 = bond_array_2[j, d2] qj2, qj2_grads[j] = coordination_number(rj2, cj2, r_cut, cutoff_func) # Calculate many-body descriptor value for j qjs[j] = q_value(neighbouring_dists_array_2[j, :num_neighbours_2[j]], r_cut, cutoff_func) k1js[j] = k_sq_exp_double_dev(q1, qjs[j], sig, ls) for i in range(bond_array_1.shape[0]): for j in range(bond_array_2.shape[0]): kij = k_sq_exp_double_dev(qis[i], qjs[j], sig, ls) kern_term = qi1_grads[i] * qj2_grads[j] * \ (k12 + ki2s[i] + k1js[j] + kij) sig_term = 2. / sig * kern_term ls_term = qi1_grads[i] * qj2_grads[j] * mb_grad_helper_ls(q1, q2, qis[i], qjs[j], sig, ls) kern += kern_term sig_derv += sig_term ls_derv += ls_term # sig_derv = 2./sig * kern return kern, sig_derv, ls_derv @njit def many_body_force_en_jit(bond_array_1, bond_array_2, neighbouring_dists_array_1, num_neighbours_1, d1, sig, ls, r_cut, cutoff_func): """many-body single-element kernel between force and energy components accelerated with Numba. Args: bond_array_1 (np.ndarray): many-body bond array of the first local environment. bond_array_2 (np.ndarray): many-body bond array of the second local environment. neighbouring_dists_array_1 (np.ndarray): matrix padded with zero values of distances of neighbours for the atoms in the first local environment. num_neighbours_1 (np.nsdarray): number of neighbours of each atom in the first local environment d1 (int): Force component of the first environment. sig (float): many-body signal variance hyperparameter. ls (float): many-body length scale hyperparameter. r_cut (float): many-body cutoff radius. cutoff_func (Callable): Cutoff function. Return: float: Value of the many-body kernel. """ kern = 0 q1 = q_value(bond_array_1[:, 0], r_cut, cutoff_func) q2 = q_value(bond_array_2[:, 0], r_cut, cutoff_func) k12 = k_sq_exp_dev(q1, q2, sig, ls) qis = np.zeros(bond_array_1.shape[0], dtype=np.float64) qi1_grads = np.zeros(bond_array_1.shape[0], dtype=np.float64) ki2s = np.zeros(bond_array_1.shape[0], dtype=np.float64) # Loop over neighbours i of 1 for i in range(bond_array_1.shape[0]): ri1 = bond_array_1[i, 0] ci1 = bond_array_1[i, d1] _, qi1_grads[i] = coordination_number(ri1, ci1, r_cut, cutoff_func) # Calculate many-body descriptor value for i qis[i] = q_value(neighbouring_dists_array_1[i, :num_neighbours_1[i]], r_cut, cutoff_func) ki2s[i] = k_sq_exp_dev(qis[i], q2, sig, ls) kern += - qi1_grads[i] * (k12 + ki2s[i]) return kern @njit def many_body_en_jit(bond_array_1, bond_array_2, sig, ls, r_cut, cutoff_func): """many-body single-element energy kernel between accelerated with Numba. Args: bond_array_1 (np.ndarray): many-body bond array of the first local environment. bond_array_2 (np.ndarray): many-body bond array of the second local environment. neighbouring_dists_array_1 (np.ndarray): matrix padded with zero values of distances of neighbours for the atoms in the first local environment. neighbouring_dists_array_2 (np.ndarray): matrix padded with zero values of distances of neighbours for the atoms in the second local environment. num_neighbours_1 (np.nsdarray): number of neighbours of each atom in the first local environment num_neighbours_2 (np.ndarray): number of neighbours of each atom in the second local environment d1 (int): Force component of the first environment. d2 (int): Force component of the second environment. sig (float): many-body signal variance hyperparameter. ls (float): many-body length scale hyperparameter. r_cut (float): many-body cutoff radius. cutoff_func (Callable): Cutoff function. Return: float: Value of the many-body kernel. """ q1 = q_value(bond_array_1[:, 0], r_cut, cutoff_func) q2 = q_value(bond_array_2[:, 0], r_cut, cutoff_func) q1q2diff = q1 - q2 kern = sig * sig * exp(-q1q2diff * q1q2diff / (2 * ls * ls)) return kern # ----------------------------------------------------------------------------- # three body helper functions # ----------------------------------------------------------------------------- @njit def triplet_kernel(ci1, ci2, cj1, cj2, ri1, ri2, ri3, rj1, rj2, rj3, fi, fj, fdi, fdj, ls1, ls2, ls3, sig2): r11 = ri1 - rj1 r12 = ri1 - rj2 r13 = ri1 - rj3 r21 = ri2 - rj1 r22 = ri2 - rj2 r23 = ri2 - rj3 r31 = ri3 - rj1 r32 = ri3 - rj2 r33 = ri3 - rj3 # sum over all six permutations M1 = three_body_helper_1(ci1, ci2, cj1, cj2, r11, r22, r33, fi, fj, fdi, fdj, ls1, ls2, ls3, sig2) M2 = three_body_helper_2(ci2, ci1, cj2, cj1, r21, r13, r32, fi, fj, fdi, fdj, ls1, ls2, ls3, sig2) M3 = three_body_helper_2(ci1, ci2, cj1, cj2, r12, r23, r31, fi, fj, fdi, fdj, ls1, ls2, ls3, sig2) M4 = three_body_helper_1(ci1, ci2, cj2, cj1, r12, r21, r33, fi, fj, fdi, fdj, ls1, ls2, ls3, sig2) M5 = three_body_helper_2(ci2, ci1, cj1, cj2, r22, r13, r31, fi, fj, fdi, fdj, ls1, ls2, ls3, sig2) M6 = three_body_helper_2(ci1, ci2, cj2, cj1, r11, r23, r32, fi, fj, fdi, fdj, ls1, ls2, ls3, sig2) return M1 + M2 + M3 + M4 + M5 + M6 @njit def triplet_kernel_grad(ci1, ci2, cj1, cj2, ri1, ri2, ri3, rj1, rj2, rj3, fi, fj, fdi, fdj, ls1, ls2, ls3, ls4, ls5, ls6, sig2, sig3): r11 = ri1 - rj1 r12 = ri1 - rj2 r13 = ri1 - rj3 r21 = ri2 - rj1 r22 = ri2 - rj2 r23 = ri2 - rj3 r31 = ri3 - rj1 r32 = ri3 - rj2 r33 = ri3 - rj3 N1, O1, X1 = \ three_body_grad_helper_1(ci1, ci2, cj1, cj2, r11, r22, r33, fi, fj, fdi, fdj, ls1, ls2, ls3, ls4, ls5, ls6, sig2, sig3) N2, O2, X2 = \ three_body_grad_helper_2(ci2, ci1, cj2, cj1, r21, r13, r32, fi, fj, fdi, fdj, ls1, ls2, ls3, ls4, ls5, ls6, sig2, sig3) N3, O3, X3 = \ three_body_grad_helper_2(ci1, ci2, cj1, cj2, r12, r23, r31, fi, fj, fdi, fdj, ls1, ls2, ls3, ls4, ls5, ls6, sig2, sig3) N4, O4, X4 = \ three_body_grad_helper_1(ci1, ci2, cj2, cj1, r12, r21, r33, fi, fj, fdi, fdj, ls1, ls2, ls3, ls4, ls5, ls6, sig2, sig3) N5, O5, X5 = \ three_body_grad_helper_2(ci2, ci1, cj1, cj2, r22, r13, r31, fi, fj, fdi, fdj, ls1, ls2, ls3, ls4, ls5, ls6, sig2, sig3) N6, O6, X6 = \ three_body_grad_helper_2(ci1, ci2, cj2, cj1, r11, r23, r32, fi, fj, fdi, fdj, ls1, ls2, ls3, ls4, ls5, ls6, sig2, sig3) N = N1 + N2 + N3 + N4 + N5 + N6 O = O1 + O2 + O3 + O4 + O5 + O6 X = X1 + X2 + X3 + X4 + X5 + X6 return N, O, X @njit def triplet_force_en_kernel(ci1, ci2, ri1, ri2, ri3, rj1, rj2, rj3, fi, fj, fdi, ls1, ls2, sig2): r11 = ri1 - rj1 r12 = ri1 - rj2 r13 = ri1 - rj3 r21 = ri2 - rj1 r22 = ri2 - rj2 r23 = ri2 - rj3 r31 = ri3 - rj1 r32 = ri3 - rj2 r33 = ri3 - rj3 I1 = three_body_en_helper(ci1, ci2, r11, r22, r33, fi, fj, fdi, ls1, ls2, sig2) I2 = three_body_en_helper(ci1, ci2, r13, r21, r32, fi, fj, fdi, ls1, ls2, sig2) I3 = three_body_en_helper(ci1, ci2, r12, r23, r31, fi, fj, fdi, ls1, ls2, sig2) I4 = three_body_en_helper(ci1, ci2, r12, r21, r33, fi, fj, fdi, ls1, ls2, sig2) I5 = three_body_en_helper(ci1, ci2, r13, r22, r31, fi, fj, fdi, ls1, ls2, sig2) I6 = three_body_en_helper(ci1, ci2, r11, r23, r32, fi, fj, fdi, ls1, ls2, sig2) return I1 + I2 + I3 + I4 + I5 + I6 # ----------------------------------------------------------------------------- # many body helper functions # ----------------------------------------------------------------------------- @njit def k_sq_exp_double_dev(q1, q2, sig, ls): """Second Gradient of generic squared exponential kernel on two many body functions Args: q1 (float): the many body descriptor of the first local environment q2 (float): the many body descriptor of the second local environment sig (float): amplitude hyperparameter ls2 (float): squared lenghtscale hyperparameter Return: float: the value of the double derivative of the squared exponential kernel """ qdiffsq = (q1 - q2) * (q1 - q2) ls2 = ls * ls ker = exp(-qdiffsq / (2 * ls2)) ret = sig * sig * ker / ls2 * (1 - qdiffsq / ls2) return ret @njit def k_sq_exp_dev(q1, q2, sig, ls): """Second Gradient of generic squared exponential kernel on two many body functions Args: q1 (float): the many body descriptor of the first local environment q2 (float): the many body descriptor of the second local environment sig (float): amplitude hyperparameter ls2 (float): squared lenghtscale hyperparameter Return: float: the value of the derivative of the squared exponential kernel """ qdiff = (q1 - q2) ls2 = ls * ls ker = exp(-qdiff * qdiff / (2 * ls2)) ret = - sig * sig * ker / ls2 * qdiff return ret @njit def coordination_number(rij, cij, r_cut, cutoff_func): """Pairwise contribution to many-body descriptor based on number of atoms in the environment Args: rij (float): distance between atoms i and j cij (float): Component of versor of rij along given direction r_cut (float): cutoff hyperparameter cutoff_func (callable): cutoff function Return: float: the value of the pairwise many-body contribution float: the value of the derivative of the pairwise many-body contribution w.r.t. the central atom displacement """ fij, fdij = cutoff_func(r_cut, rij, cij) return fij, fdij @njit def q_value(distances, r_cut, cutoff_func, q_func=coordination_number): """Compute value of many-body descriptor based on distances of atoms in the local amny-body environment. Args: distances (np.ndarray): distances between atoms i and j r_cut (float): cutoff hyperparameter cutoff_func (callable): cutoff function q_func (callable): many-body pairwise descrptor function Return: float: the value of the many-body descriptor """ q = 0 for d in distances: q_, _ = q_func(d, 0, r_cut, cutoff_func) q += q_ return q @njit def mb_grad_helper_ls_(qdiffsq, sig, ls): """Derivative of a many body force-force kernel wrt ls """ ls2 = ls * ls prefact = exp(-(qdiffsq / (2 * ls2))) * (sig * sig) / ls ** 5 ret = - prefact * (qdiffsq ** 2 / ls2 - 5 * qdiffsq + 2 * ls2) return ret @njit def mb_grad_helper_ls(q1, q2, qi, qj, sig, ls): """Helper function fr many body gradient collecting all the derivatives of the force-foce many body kernel wrt ls """ q12diffsq = ((q1 - q2) * (q1 - q2)) qijdiffsq = ((qi - qj) * (qi - qj)) qi2diffsq = ((qi - q2) * (qi - q2)) q1jdiffsq = ((q1 - qj) * (q1 - qj)) dk12 = mb_grad_helper_ls_(q12diffsq, sig, ls) dkij = mb_grad_helper_ls_(qijdiffsq, sig, ls) dki2 = mb_grad_helper_ls_(qi2diffsq, sig, ls) dk1j = mb_grad_helper_ls_(q1jdiffsq, sig, ls) return dk12 + dkij + dki2 + dk1j _str_to_kernel = {'two_body': two_body, 'two_body_en': two_body_en, 'two_body_force_en': two_body_force_en, 'three_body': three_body, 'three_body_en': three_body_en, 'three_body_force_en': three_body_force_en, 'two_plus_three_body': two_plus_three_body, 'two_plus_three_en': two_plus_three_en, 'two_plus_three_force_en': two_plus_three_force_en, '2': two_body, '2_en': two_body_en, '2_grad': two_body_grad, '2_force_en': two_body_force_en, '3': three_body, '3_grad': three_body_grad, '3_en': three_body_en, '3_force_en': three_body_force_en, '2+3': two_plus_three_body, '2+3_grad': two_plus_three_body_grad, '2+3_en': two_plus_three_en, '2+3_force_en': two_plus_three_force_en, 'many': many_body, 'many_en': many_body_en, 'many_grad': many_body_grad, 'many_force_en': many_body_force_en, 'two_plus_three_plus_many_body': two_plus_three_plus_many_body, 'two_plus_three_plus_many_body_grad': two_plus_three_plus_many_body_grad, 'two_plus_three_plus_many_body_en': two_plus_three_plus_many_body_en, 'two_plus_three_plus_many_body_force_en': two_plus_three_plus_many_body_force_en, '2+3+many': two_plus_three_plus_many_body, '2+3+many_grad': two_plus_three_plus_many_body_grad, '2+3+many_en': two_plus_three_plus_many_body_en, '2+3+many_force_en': two_plus_three_plus_many_body_force_en } def str_to_kernel(string: str, include_grad: bool = False): if string not in _str_to_kernel.keys(): raise ValueError("Kernel {} not found in list of available " "kernels{}:".format(string, _str_to_kernel.keys())) if not include_grad: return _str_to_kernel[string] else: if 'two' in string and 'three' in string: return _str_to_kernel[string], two_plus_three_body_grad elif 'two' in string and 'three' not in string: return _str_to_kernel[string], two_body_grad elif 'two' not in string and 'three' in string: return _str_to_kernel[string], three_body_grad else: raise ValueError("Gradient callable for {} not found".format( string))

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py

Python

examples/an_useless_python_file.py

yruama42/Docstring2Markdown

99baa879a080f189b263104c283f788a069a69ad

[ "MIT" ]

null

examples/an_useless_python_file.py

yruama42/Docstring2Markdown

99baa879a080f189b263104c283f788a069a69ad

[ "MIT" ]

null

examples/an_useless_python_file.py

yruama42/Docstring2Markdown

99baa879a080f189b263104c283f788a069a69ad

[ "MIT" ]

null

class AnUselessClass(object): """ A useless Python class * do_nothing: a method that does nothing >>> print("I'm useless") >>> print("I'm doing nothing") """ def __init__(self, do_nothing=True): """ init method :param do_nothing: should I do something ? :type do_nothing: boolean, default True """ self._do_nothing = do_nothing def do_nothing(self): """ A function that does nothing >>> # call me >>> useless_class = AnUselessClass(True) >>> useless_class.do_nothing() """ if self._do_nothing: print("I'm sleeping") def do_not_do_anything_here_either(do_nothing=False): """ do not do anything here either :param do_nothing: should I do something ? :type do_nothing: boolean :rtype: bool >>> result = do_not_do_anything_here_either(True) >>> print(result) """ if do_nothing: print("I'm sleeping") return do_nothing def do_not_do_anything_here_either_2(do_nothing=False): """ do not do anything here either :param do_nothing: should I do something ? :type do_nothing: boolean :rtype: bool """ if do_nothing: print("I'm sleeping") return do_nothing def do_not_do_anything_here_either_3(do_nothing=False): """ do not do anything here either """ if do_nothing: print("I'm sleeping") return do_nothing def do_not_do_anything_here_either_4(do_nothing=False): """ """ if do_nothing: print("I'm sleeping") return do_nothing def do_not_do_anything_here_either_5(do_nothing=False): if do_nothing: print("I'm sleeping") return do_nothing def do_not_do_anything_here_either_6(do_nothing=False): """ :param do_nothing: should I do something ? :type do_nothing: boolean :rtype: bool """ if do_nothing: print("I'm sleeping") return do_nothing def do_not_do_anything_here_either_7(do_nothing=False): """ >>> result = do_not_do_anything_here_either(True) >>> print(result) """ if do_nothing: print("I'm sleeping") return do_nothing

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null

0

1

0

7

dd157c8f378c6035952193f07827b8d231c6c90f

4,435

py

Python

test/model/inversion/util/test_inversion_util.py

AshKelly/PyAutoLens

043795966338a655339e61782253ad67cc3c14e6

[ "MIT" ]

null

test/model/inversion/util/test_inversion_util.py

AshKelly/PyAutoLens

043795966338a655339e61782253ad67cc3c14e6

[ "MIT" ]

null

test/model/inversion/util/test_inversion_util.py

AshKelly/PyAutoLens

043795966338a655339e61782253ad67cc3c14e6

[ "MIT" ]

null

import numpy as np import pytest from autolens import exc from autolens.data.array import grids, mask from autolens.model.inversion.util import inversion_util class TestDataVectorFromData(object): def test__simple_blurred_mapping_matrix__correct_data_vector(self): blurred_mapping_matrix = np.array([[1.0, 1.0, 0.0], [1.0, 0.0, 0.0], [0.0, 1.0, 0.0], [0.0, 1.0, 1.0], [0.0, 0.0, 0.0], [0.0, 0.0, 0.0]]) image = np.array([1.0, 1.0, 1.0, 1.0, 1.0, 1.0]) noise_map = np.array([1.0, 1.0, 1.0, 1.0, 1.0, 1.0]) data_vector = inversion_util.data_vector_from_blurred_mapping_matrix_and_data( blurred_mapping_matrix=blurred_mapping_matrix, image_1d=image, noise_map_1d=noise_map) assert (data_vector == np.array([2.0, 3.0, 1.0])).all() def test__simple_blurred_mapping_matrix__change_image_values__correct_data_vector(self): blurred_mapping_matrix = np.array([[1.0, 1.0, 0.0], [1.0, 0.0, 0.0], [0.0, 1.0, 0.0], [0.0, 1.0, 1.0], [0.0, 0.0, 0.0], [0.0, 0.0, 0.0]]) image = np.array([3.0, 1.0, 1.0, 10.0, 1.0, 1.0]) noise_map = np.array([1.0, 1.0, 1.0, 1.0, 1.0, 1.0]) data_vector = inversion_util.data_vector_from_blurred_mapping_matrix_and_data( blurred_mapping_matrix=blurred_mapping_matrix, image_1d=image, noise_map_1d=noise_map) assert (data_vector == np.array([4.0, 14.0, 10.0])).all() def test__simple_blurred_mapping_matrix__change_noise_values__correct_data_vector(self): blurred_mapping_matrix = np.array([[1.0, 1.0, 0.0], [1.0, 0.0, 0.0], [0.0, 1.0, 0.0], [0.0, 1.0, 1.0], [0.0, 0.0, 0.0], [0.0, 0.0, 0.0]]) image = np.array([4.0, 1.0, 1.0, 16.0, 1.0, 1.0]) noise_map = np.array([2.0, 1.0, 1.0, 4.0, 1.0, 1.0]) data_vector = inversion_util.data_vector_from_blurred_mapping_matrix_and_data( blurred_mapping_matrix=blurred_mapping_matrix, image_1d=image, noise_map_1d=noise_map) assert (data_vector == np.array([2.0, 3.0, 1.0])).all() class TestCurvatureMatrixFromBlurred(object): def test__simple_blurred_mapping_matrix(self): blurred_mapping_matrix = np.array([[1.0, 1.0, 0.0], [1.0, 0.0, 0.0], [0.0, 1.0, 0.0], [0.0, 1.0, 1.0], [0.0, 0.0, 0.0], [0.0, 0.0, 0.0]]) noise_map = np.array([1.0, 1.0, 1.0, 1.0, 1.0, 1.0]) curvature_matrix = inversion_util.curvature_matrix_from_blurred_mapping_matrix( blurred_mapping_matrix=blurred_mapping_matrix, noise_map_1d=noise_map) assert (curvature_matrix == np.array([[2.0, 1.0, 0.0], [1.0, 3.0, 1.0], [0.0, 1.0, 1.0]])).all() def test__simple_blurred_mapping_matrix__change_noise_values(self): blurred_mapping_matrix = np.array([[1.0, 1.0, 0.0], [1.0, 0.0, 0.0], [0.0, 1.0, 0.0], [0.0, 1.0, 1.0], [0.0, 0.0, 0.0], [0.0, 0.0, 0.0]]) noise_map = np.array([2.0, 1.0, 1.0, 1.0, 1.0, 1.0]) curvature_matrix = inversion_util.curvature_matrix_from_blurred_mapping_matrix( blurred_mapping_matrix=blurred_mapping_matrix, noise_map_1d=noise_map) assert (curvature_matrix == np.array([[1.25, 0.25, 0.0], [0.25, 2.25, 1.0], [0.0, 1.0, 1.0]])).all()

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null

0

7

dd7008c93cb04d4db4c8727d96c066a177e08af1

174

py

Python

simplesvc/envvars/__init__.py

jfuechsl/simplesvc

23c8246f58aef838a802c56ad1e309530960d996

[ "MIT" ]

null

simplesvc/envvars/__init__.py

jfuechsl/simplesvc

23c8246f58aef838a802c56ad1e309530960d996

[ "MIT" ]

null

simplesvc/envvars/__init__.py

jfuechsl/simplesvc

23c8246f58aef838a802c56ad1e309530960d996

[ "MIT" ]

null

import os def get_environment_variables(starting_with): return [[env_name, env_value] for env_name, env_value in os.environ.items() if env_name.startswith(starting_with)]

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false

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1

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null

0

1

0

1

0

7

dd902031f5f69dde1ce6d38d1161138684560c1b

79

py

Python

src/loader/__init__.py

William9923/IF4072-SentimentClassification

5e22a6da418056955243c310bab0382e4683b781

[ "MIT" ]

null

src/loader/__init__.py

William9923/IF4072-SentimentClassification

5e22a6da418056955243c310bab0382e4683b781

[ "MIT" ]

null

src/loader/__init__.py

William9923/IF4072-SentimentClassification

5e22a6da418056955243c310bab0382e4683b781

[ "MIT" ]

null

from src.loader.interface import ILoader from src.loader.impl import DataLoader

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null

0

1

0

1

0

1

0

7

663dad2c233611dc286d1cb840d0ea54038fe7a4

151

py

Python

turing_machine/__init__.py

johnyob/Turing-Machine-Simulator

392280604d307b429d522a12836de8aeae6435d9

[ "MIT" ]

1

2021-03-19T02:37:10.000Z

turing_machine/__init__.py

johnyob/Turing-Machine-Simulator

392280604d307b429d522a12836de8aeae6435d9

[ "MIT" ]

null

turing_machine/__init__.py

johnyob/Turing-Machine-Simulator

392280604d307b429d522a12836de8aeae6435d9

[ "MIT" ]

null

from turing_machine.TuringMachine import TuringMachine from turing_machine.helpers.Constants import BLANK from turing_machine.Movement import Movement

37.75

54

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19

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0.473684

0.227273

0.386364

0

0.07947

151

3

55

50.333333

0.94964

0

1

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true

0

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1

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null

1

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null

0

1

0

1

0

1

0

7

b05e6c2ca463dd903f832de6a057e2b97d61c0ff

27,614

py

Python

pyscript/cav_pb2.py

nkawa/provider_map_pick

a576ed71cdf4c6af4ddbae43df1d1561d34acd13

[ "Apache-2.0" ]

null

pyscript/cav_pb2.py

nkawa/provider_map_pick

a576ed71cdf4c6af4ddbae43df1d1561d34acd13

[ "Apache-2.0" ]

null

pyscript/cav_pb2.py

nkawa/provider_map_pick

a576ed71cdf4c6af4ddbae43df1d1561d34acd13

[ "Apache-2.0" ]

null

# -*- coding: utf-8 -*- # Generated by the protocol buffer compiler. DO NOT EDIT! # source: cav/cav.proto """Generated protocol buffer code.""" from google.protobuf import descriptor as _descriptor from google.protobuf import message as _message from google.protobuf import reflection as _reflection from google.protobuf import symbol_database as _symbol_database # @@protoc_insertion_point(imports) _sym_db = _symbol_database.Default() from google.protobuf import timestamp_pb2 as google_dot_protobuf_dot_timestamp__pb2 DESCRIPTOR = _descriptor.FileDescriptor( name='cav/cav.proto', package='proto_cav', syntax='proto3', serialized_options=b'Z\034github.com/synerex/proto_cav', create_key=_descriptor._internal_create_key, serialized_pb=b'\n\rcav/cav.proto\x12\tproto_cav\x1a\x1fgoogle/protobuf/timestamp.proto\"\x88\x01\n\x07ROSMeta\x12\x0f\n\x07robotID\x18\x01 \x01(\x03\x12\x11\n\trobotName\x18\x02 \x01(\t\x12 \n\x06origin\x18\x03 \x01(\x0b\x32\x10.proto_cav.Point\x12\x0f\n\x07\x66rameID\x18\x04 \x01(\t\x12&\n\x02ts\x18\x06 \x01(\x0b\x32\x1a.google.protobuf.Timestamp\"\x8b\x01\n\tRobotInfo\x12\x1f\n\x03ros\x18\x01 \x01(\x0b\x32\x12.proto_cav.ROSMeta\x12\x10\n\x08velocity\x18\x02 \x01(\x02\x12\x13\n\x0brotVelocity\x18\x03 \x01(\x02\x12\x0e\n\x06radius\x18\x04 \x01(\x02\x12&\n\x02ts\x18\x06 \x01(\x0b\x32\x1a.google.protobuf.Timestamp\"\xa4\x01\n\x08Position\x12\x1f\n\x03ros\x18\x01 \x01(\x0b\x32\x12.proto_cav.ROSMeta\x12\"\n\x08position\x18\x02 \x01(\x0b\x32\x10.proto_cav.Point\x12+\n\x0borientation\x18\x03 \x01(\x0b\x32\x16.proto_cav.Orientation\x12&\n\x02ts\x18\x04 \x01(\x0b\x32\x1a.google.protobuf.Timestamp\"\xc7\x01\n\x0bPathRequest\x12\x0f\n\x07robotId\x18\x01 \x01(\x03\x12\x0b\n\x03seq\x18\x02 \x01(\x03\x12\x0e\n\x06radius\x18\x03 \x01(\x02\x12\x1f\n\x05start\x18\x05 \x01(\x0b\x32\x10.proto_cav.Point\x12\x1e\n\x04goal\x18\x06 \x01(\x0b\x32\x10.proto_cav.Point\x12!\n\x07objects\x18\x07 \x03(\x0b\x32\x10.proto_cav.Point\x12&\n\x02ts\x18\x08 \x01(\x0b\x32\x1a.google.protobuf.Timestamp\"H\n\x04Path\x12\x0f\n\x07robotId\x18\x01 \x01(\x03\x12\x0b\n\x03seq\x18\x02 \x01(\x03\x12\"\n\x04path\x18\x03 \x03(\x0b\x32\x14.proto_cav.PathPoint\"\x8d\x01\n\tPathPoint\x12\x0b\n\x03seq\x18\x01 \x01(\x03\x12\x1e\n\x04pose\x18\x02 \x01(\x0b\x32\x10.proto_cav.Point\x12+\n\x0borientation\x18\x03 \x01(\x0b\x32\x16.proto_cav.Orientation\x12&\n\x02ts\x18\x08 \x01(\x0b\x32\x1a.google.protobuf.Timestamp\"\x8e\x01\n\x07MapMeta\x12\x0b\n\x03seq\x18\x01 \x01(\x03\x12 \n\x06origin\x18\x02 \x01(\x0b\x32\x10.proto_cav.Point\x12\x0e\n\x06height\x18\x03 \x01(\x03\x12\r\n\x05width\x18\x04 \x01(\x03\x12\x12\n\nresolusion\x18\x05 \x01(\x02\x12!\n\x07objects\x18\x06 \x03(\x0b\x32\x10.proto_cav.Point\"(\n\x05Point\x12\t\n\x01x\x18\x01 \x01(\x02\x12\t\n\x01y\x18\x02 \x01(\x02\x12\t\n\x01z\x18\x03 \x01(\x02\"9\n\x0bOrientation\x12\t\n\x01x\x18\x01 \x01(\x02\x12\t\n\x01y\x18\x02 \x01(\x02\x12\t\n\x01z\x18\x03 \x01(\x02\x12\t\n\x01w\x18\x04 \x01(\x02\x42\x1eZ\x1cgithub.com/synerex/proto_cavb\x06proto3' , dependencies=[google_dot_protobuf_dot_timestamp__pb2.DESCRIPTOR,]) _ROSMETA = _descriptor.Descriptor( name='ROSMeta', full_name='proto_cav.ROSMeta', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='robotID', full_name='proto_cav.ROSMeta.robotID', index=0, number=1, type=3, cpp_type=2, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='robotName', full_name='proto_cav.ROSMeta.robotName', index=1, number=2, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='origin', full_name='proto_cav.ROSMeta.origin', index=2, number=3, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='frameID', full_name='proto_cav.ROSMeta.frameID', index=3, number=4, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='ts', full_name='proto_cav.ROSMeta.ts', index=4, number=6, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=62, serialized_end=198, ) _ROBOTINFO = _descriptor.Descriptor( name='RobotInfo', full_name='proto_cav.RobotInfo', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='ros', full_name='proto_cav.RobotInfo.ros', index=0, number=1, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='velocity', full_name='proto_cav.RobotInfo.velocity', index=1, number=2, type=2, cpp_type=6, label=1, has_default_value=False, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='rotVelocity', full_name='proto_cav.RobotInfo.rotVelocity', index=2, number=3, type=2, cpp_type=6, label=1, has_default_value=False, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='radius', full_name='proto_cav.RobotInfo.radius', index=3, number=4, type=2, cpp_type=6, label=1, has_default_value=False, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='ts', full_name='proto_cav.RobotInfo.ts', index=4, number=6, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=201, serialized_end=340, ) _POSITION = _descriptor.Descriptor( name='Position', full_name='proto_cav.Position', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='ros', full_name='proto_cav.Position.ros', index=0, number=1, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='position', full_name='proto_cav.Position.position', index=1, number=2, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='orientation', full_name='proto_cav.Position.orientation', index=2, number=3, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='ts', full_name='proto_cav.Position.ts', index=3, number=4, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=343, serialized_end=507, ) _PATHREQUEST = _descriptor.Descriptor( name='PathRequest', full_name='proto_cav.PathRequest', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='robotId', full_name='proto_cav.PathRequest.robotId', index=0, number=1, type=3, cpp_type=2, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='seq', full_name='proto_cav.PathRequest.seq', index=1, number=2, type=3, cpp_type=2, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='radius', full_name='proto_cav.PathRequest.radius', index=2, number=3, type=2, cpp_type=6, label=1, has_default_value=False, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='start', full_name='proto_cav.PathRequest.start', index=3, number=5, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='goal', full_name='proto_cav.PathRequest.goal', index=4, number=6, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='objects', full_name='proto_cav.PathRequest.objects', index=5, number=7, type=11, cpp_type=10, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='ts', full_name='proto_cav.PathRequest.ts', index=6, number=8, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=510, serialized_end=709, ) _PATH = _descriptor.Descriptor( name='Path', full_name='proto_cav.Path', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='robotId', full_name='proto_cav.Path.robotId', index=0, number=1, type=3, cpp_type=2, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='seq', full_name='proto_cav.Path.seq', index=1, number=2, type=3, cpp_type=2, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='path', full_name='proto_cav.Path.path', index=2, number=3, type=11, cpp_type=10, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=711, serialized_end=783, ) _PATHPOINT = _descriptor.Descriptor( name='PathPoint', full_name='proto_cav.PathPoint', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='seq', full_name='proto_cav.PathPoint.seq', index=0, number=1, type=3, cpp_type=2, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='pose', full_name='proto_cav.PathPoint.pose', index=1, number=2, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='orientation', full_name='proto_cav.PathPoint.orientation', index=2, number=3, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='ts', full_name='proto_cav.PathPoint.ts', index=3, number=8, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=786, serialized_end=927, ) _MAPMETA = _descriptor.Descriptor( name='MapMeta', full_name='proto_cav.MapMeta', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='seq', full_name='proto_cav.MapMeta.seq', index=0, number=1, type=3, cpp_type=2, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='origin', full_name='proto_cav.MapMeta.origin', index=1, number=2, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='height', full_name='proto_cav.MapMeta.height', index=2, number=3, type=3, cpp_type=2, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='width', full_name='proto_cav.MapMeta.width', index=3, number=4, type=3, cpp_type=2, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='resolusion', full_name='proto_cav.MapMeta.resolusion', index=4, number=5, type=2, cpp_type=6, label=1, has_default_value=False, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='objects', full_name='proto_cav.MapMeta.objects', index=5, number=6, type=11, cpp_type=10, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=930, serialized_end=1072, ) _POINT = _descriptor.Descriptor( name='Point', full_name='proto_cav.Point', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='x', full_name='proto_cav.Point.x', index=0, number=1, type=2, cpp_type=6, label=1, has_default_value=False, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='y', full_name='proto_cav.Point.y', index=1, number=2, type=2, cpp_type=6, label=1, has_default_value=False, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='z', full_name='proto_cav.Point.z', index=2, number=3, type=2, cpp_type=6, label=1, has_default_value=False, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=1074, serialized_end=1114, ) _ORIENTATION = _descriptor.Descriptor( name='Orientation', full_name='proto_cav.Orientation', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='x', full_name='proto_cav.Orientation.x', index=0, number=1, type=2, cpp_type=6, label=1, has_default_value=False, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='y', full_name='proto_cav.Orientation.y', index=1, number=2, type=2, cpp_type=6, label=1, has_default_value=False, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='z', full_name='proto_cav.Orientation.z', index=2, number=3, type=2, cpp_type=6, label=1, has_default_value=False, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='w', full_name='proto_cav.Orientation.w', index=3, number=4, type=2, cpp_type=6, label=1, has_default_value=False, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=1116, serialized_end=1173, ) _ROSMETA.fields_by_name['origin'].message_type = _POINT _ROSMETA.fields_by_name['ts'].message_type = google_dot_protobuf_dot_timestamp__pb2._TIMESTAMP _ROBOTINFO.fields_by_name['ros'].message_type = _ROSMETA _ROBOTINFO.fields_by_name['ts'].message_type = google_dot_protobuf_dot_timestamp__pb2._TIMESTAMP _POSITION.fields_by_name['ros'].message_type = _ROSMETA _POSITION.fields_by_name['position'].message_type = _POINT _POSITION.fields_by_name['orientation'].message_type = _ORIENTATION _POSITION.fields_by_name['ts'].message_type = google_dot_protobuf_dot_timestamp__pb2._TIMESTAMP _PATHREQUEST.fields_by_name['start'].message_type = _POINT _PATHREQUEST.fields_by_name['goal'].message_type = _POINT _PATHREQUEST.fields_by_name['objects'].message_type = _POINT _PATHREQUEST.fields_by_name['ts'].message_type = google_dot_protobuf_dot_timestamp__pb2._TIMESTAMP _PATH.fields_by_name['path'].message_type = _PATHPOINT _PATHPOINT.fields_by_name['pose'].message_type = _POINT _PATHPOINT.fields_by_name['orientation'].message_type = _ORIENTATION _PATHPOINT.fields_by_name['ts'].message_type = google_dot_protobuf_dot_timestamp__pb2._TIMESTAMP _MAPMETA.fields_by_name['origin'].message_type = _POINT _MAPMETA.fields_by_name['objects'].message_type = _POINT DESCRIPTOR.message_types_by_name['ROSMeta'] = _ROSMETA DESCRIPTOR.message_types_by_name['RobotInfo'] = _ROBOTINFO DESCRIPTOR.message_types_by_name['Position'] = _POSITION DESCRIPTOR.message_types_by_name['PathRequest'] = _PATHREQUEST DESCRIPTOR.message_types_by_name['Path'] = _PATH DESCRIPTOR.message_types_by_name['PathPoint'] = _PATHPOINT DESCRIPTOR.message_types_by_name['MapMeta'] = _MAPMETA DESCRIPTOR.message_types_by_name['Point'] = _POINT DESCRIPTOR.message_types_by_name['Orientation'] = _ORIENTATION _sym_db.RegisterFileDescriptor(DESCRIPTOR) ROSMeta = _reflection.GeneratedProtocolMessageType('ROSMeta', (_message.Message,), { 'DESCRIPTOR' : _ROSMETA, '__module__' : 'cav.cav_pb2' # @@protoc_insertion_point(class_scope:proto_cav.ROSMeta) }) _sym_db.RegisterMessage(ROSMeta) RobotInfo = _reflection.GeneratedProtocolMessageType('RobotInfo', (_message.Message,), { 'DESCRIPTOR' : _ROBOTINFO, '__module__' : 'cav.cav_pb2' # @@protoc_insertion_point(class_scope:proto_cav.RobotInfo) }) _sym_db.RegisterMessage(RobotInfo) Position = _reflection.GeneratedProtocolMessageType('Position', (_message.Message,), { 'DESCRIPTOR' : _POSITION, '__module__' : 'cav.cav_pb2' # @@protoc_insertion_point(class_scope:proto_cav.Position) }) _sym_db.RegisterMessage(Position) PathRequest = _reflection.GeneratedProtocolMessageType('PathRequest', (_message.Message,), { 'DESCRIPTOR' : _PATHREQUEST, '__module__' : 'cav.cav_pb2' # @@protoc_insertion_point(class_scope:proto_cav.PathRequest) }) _sym_db.RegisterMessage(PathRequest) Path = _reflection.GeneratedProtocolMessageType('Path', (_message.Message,), { 'DESCRIPTOR' : _PATH, '__module__' : 'cav.cav_pb2' # @@protoc_insertion_point(class_scope:proto_cav.Path) }) _sym_db.RegisterMessage(Path) PathPoint = _reflection.GeneratedProtocolMessageType('PathPoint', (_message.Message,), { 'DESCRIPTOR' : _PATHPOINT, '__module__' : 'cav.cav_pb2' # @@protoc_insertion_point(class_scope:proto_cav.PathPoint) }) _sym_db.RegisterMessage(PathPoint) MapMeta = _reflection.GeneratedProtocolMessageType('MapMeta', (_message.Message,), { 'DESCRIPTOR' : _MAPMETA, '__module__' : 'cav.cav_pb2' # @@protoc_insertion_point(class_scope:proto_cav.MapMeta) }) _sym_db.RegisterMessage(MapMeta) Point = _reflection.GeneratedProtocolMessageType('Point', (_message.Message,), { 'DESCRIPTOR' : _POINT, '__module__' : 'cav.cav_pb2' # @@protoc_insertion_point(class_scope:proto_cav.Point) }) _sym_db.RegisterMessage(Point) Orientation = _reflection.GeneratedProtocolMessageType('Orientation', (_message.Message,), { 'DESCRIPTOR' : _ORIENTATION, '__module__' : 'cav.cav_pb2' # @@protoc_insertion_point(class_scope:proto_cav.Orientation) }) _sym_db.RegisterMessage(Orientation) DESCRIPTOR._options = None # @@protoc_insertion_point(module_scope)

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0

9

b066444dac1bc0ed4b17ba9d3bf8941ed8538a03

177

py

Python

pyramid_handy/tweens/__init__.py

fangpenlin/pyramid-handy

e3cbc19224ab1f0a14aab556990bceabd2d1f658

[ "MIT" ]

null

pyramid_handy/tweens/__init__.py

fangpenlin/pyramid-handy

e3cbc19224ab1f0a14aab556990bceabd2d1f658

[ "MIT" ]

null

pyramid_handy/tweens/__init__.py

fangpenlin/pyramid-handy

e3cbc19224ab1f0a14aab556990bceabd2d1f658

[ "MIT" ]

null

from .allow_origin import allow_origin_tween_factory # noqa from .api_headers import api_headers_tween_factory # noqa from .basic_auth import basic_auth_tween_factory # noqa

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7

c671aa19c95eb53643245a6b1efb5ce94773cbd7

98

py

Python

source/PythonMath.activity/libraries/spyral/spyral/dev.py

danShumway/python_math

3726ae5a99f17734e8c10a0d1bb3b95d5f0eab5f

[ "MIT" ]

2

2018-10-07T02:36:58.000Z

2019-03-27T00:26:15.000Z

source/PythonMath.activity/libraries/spyral/spyral/dev.py

danShumway/python_math

3726ae5a99f17734e8c10a0d1bb3b95d5f0eab5f

[ "MIT" ]

null

source/PythonMath.activity/libraries/spyral/spyral/dev.py

danShumway/python_math

3726ae5a99f17734e8c10a0d1bb3b95d5f0eab5f

[ "MIT" ]

null

import spyral import os def _get_spyral_path(): return os.path.dirname(spyral.__file__) + '/'

19.6

49

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98

4.642857

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0.142857

98

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49

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0.25

true

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null

0

1

0

1

0

7

c67c1a13081290897c0c144c9df124deb46defe7

75

py

Python

code/python/string_regex.py

evmorov/ruby-coffeescript

1c61c5ce351509b210e26feceee6efab0b255442

[ "MIT" ]

29

2016-06-15T09:19:18.000Z

2022-03-21T14:34:47.000Z

code/python/string_regex.py

evmorov/ruby-coffeescript

1c61c5ce351509b210e26feceee6efab0b255442

[ "MIT" ]

7

2016-06-16T07:02:43.000Z

2020-01-08T21:12:30.000Z

code/python/string_regex.py

evmorov/ruby-coffeescript

1c61c5ce351509b210e26feceee6efab0b255442

[ "MIT" ]

7

2016-06-15T14:57:46.000Z

2021-12-09T17:57:22.000Z

import re print(re.search('^b', 'apple')) print(re.search('^a', 'apple'))

15

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null

0

1

0

1

0

1

0

7

c699694e9b2d12e4a201ad96b0c5b357acc8d759

9,234

py

Python

bright/tests/test_fast_reactor1g.py

bright-dev/bright

af3ff83d37880787443b1a8e785f375142d42882

[ "WTFPL" ]

3

2016-05-08T06:13:10.000Z

2019-02-14T10:01:22.000Z

bright/tests/test_fast_reactor1g.py

bright-dev/bright

af3ff83d37880787443b1a8e785f375142d42882

[ "WTFPL" ]

null

bright/tests/test_fast_reactor1g.py

bright-dev/bright

af3ff83d37880787443b1a8e785f375142d42882

[ "WTFPL" ]

null

"""FastReactor1G Tests""" from unittest import TestCase import nose from nose.tools import assert_equal, assert_not_equal, assert_raises, raises, \ assert_almost_equal, assert_true, assert_false, with_setup import os import warnings import tables as tb import numpy as np from bright import bright_conf, load_track_nucs_hdf5 from bright.reactor_parameters import fr_defaults from bright.fast_reactor1g import FastReactor1G from pyne.material import Material # # Fixtures # def teardown_fr1g(): for f in os.listdir('.'): if "Isos.txt" in f: os.remove(f) elif "Params.txt" in f: os.remove(f) elif f in [".h5", "fr.h5", "fuel_cycle.h5"]: os.remove(f) # # Tests that the storage component constructors work. # @with_setup(None, teardown_fr1g) def test_fr_defaults(): frd = fr_defaults() assert_equal(frd.batches, 3) assert_equal(frd.flux, 2.0*(10.0**15)) assert_equal(frd.fuel_form["IHM"], 1.0) assert_equal(frd.coolant_form["NA23"], 1.0) assert_equal(frd.fuel_density, 18.0) assert_equal(frd.coolant_density, 0.927) assert_equal(frd.pnl, 0.65) assert_equal(frd.BUt, 0.0) assert_false(frd.use_disadvantage_factor) assert_equal(frd.lattice_type, "Cylindrical") assert_false(frd.rescale_hydrogen) assert_equal(frd.fuel_radius, 0.3115) assert_equal(frd.unit_cell_pitch, 0.956) assert_equal(frd.open_slots, 19.0) assert_equal(frd.total_slots, 163.0) @with_setup(None, teardown_fr1g) def test_FastReactor1G_1(): fr = FastReactor1G() assert_equal(fr.name, '') assert_equal(fr.track_params, set(["ACT", "BUd", "FP", "LAN", "P_NL", "TRU", "TRUCR", "U"])) assert_equal(fr.B, 3) assert_equal(fr.phi, 2.0*(10.0**15)) assert_equal(fr.fuel_chemical_form["IHM"], 1.0) assert_equal(fr.coolant_chemical_form["NA23"], 1.0) assert_equal(fr.rhoF, 18.0) assert_equal(fr.rhoC, 0.927) assert_equal(fr.P_NL, 0.65) assert_equal(fr.target_BU, 0.0) assert_false(fr.use_zeta) assert_equal(fr.lattice_flag, "Cylindrical") assert_false(fr.rescale_hydrogen_xs) assert_equal(fr.r, 0.3115) assert_equal(fr.l, 0.956) assert_equal(fr.S_O, 19.0) assert_equal(fr.S_T, 163.0) @with_setup(None, teardown_fr1g) def test_FastReactor1G_2(): lf = os.getenv("BRIGHT_DATA") + "/FR.h5" fr = FastReactor1G(lib=lf) assert_equal(fr.libfile, lf) assert_equal(fr.name, '') assert_equal(fr.track_params, set(["ACT", "BUd", "FP", "LAN", "P_NL", "TRU", "TRUCR", "U"])) assert_equal(fr.B, 3) assert_equal(fr.phi, 2.0*(10.0**15)) assert_equal(fr.fuel_chemical_form["IHM"], 1.0) assert_equal(fr.coolant_chemical_form["NA23"], 1.0) assert_equal(fr.rhoF, 18.0) assert_equal(fr.rhoC, 0.927) assert_equal(fr.P_NL, 0.65) assert_equal(fr.target_BU, 0.0) assert_false(fr.use_zeta) assert_equal(fr.lattice_flag, "Cylindrical") assert_false(fr.rescale_hydrogen_xs) assert_equal(fr.r, 0.3115) assert_equal(fr.l, 0.956) assert_equal(fr.S_O, 19.0) assert_equal(fr.S_T, 163.0) @with_setup(None, teardown_fr1g) def test_FastReactor1G_3(): lf = os.getenv("BRIGHT_DATA") + "/FR.h5" fr = FastReactor1G(lib=lf, n="fr") assert_equal(fr.libfile, lf) assert_equal(fr.name, 'fr') assert_equal(fr.track_params, set(["ACT", "BUd", "FP", "LAN", "P_NL", "TRU", "TRUCR", "U"])) assert_equal(fr.B, 3) assert_equal(fr.phi, 2.0*(10.0**15)) assert_equal(fr.fuel_chemical_form["IHM"], 1.0) assert_equal(fr.coolant_chemical_form["NA23"], 1.0) assert_equal(fr.rhoF, 18.0) assert_equal(fr.rhoC, 0.927) assert_equal(fr.P_NL, 0.65) assert_equal(fr.target_BU, 0.0) assert_false(fr.use_zeta) assert_equal(fr.lattice_flag, "Cylindrical") assert_false(fr.rescale_hydrogen_xs) assert_equal(fr.r, 0.3115) assert_equal(fr.l, 0.956) assert_equal(fr.S_O, 19.0) assert_equal(fr.S_T, 163.0) @with_setup(None, teardown_fr1g) def test_FastReactor1G_4(): rp = fr_defaults() rp.BUt = 140.0 fr = FastReactor1G(rp=rp) assert_equal(fr.name, '') assert_equal(fr.track_params, set(["ACT", "BUd", "FP", "LAN", "P_NL", "TRU", "TRUCR", "U"])) assert_equal(fr.B, 3) assert_equal(fr.phi, 2.0*(10.0**15)) assert_equal(fr.fuel_chemical_form["IHM"], 1.0) assert_equal(fr.coolant_chemical_form["NA23"], 1.0) assert_equal(fr.rhoF, 18.0) assert_equal(fr.rhoC, 0.927) assert_equal(fr.P_NL, 0.65) assert_equal(fr.target_BU, 140.0) assert_false(fr.use_zeta) assert_equal(fr.lattice_flag, "Cylindrical") assert_false(fr.rescale_hydrogen_xs) assert_equal(fr.r, 0.3115) assert_equal(fr.l, 0.956) assert_equal(fr.S_O, 19.0) assert_equal(fr.S_T, 163.0) @with_setup(None, teardown_fr1g) def test_FastReactor1G_5(): rp = fr_defaults() rp.BUt = 140.0 fr = FastReactor1G(rp=rp, n='fr') assert_equal(fr.name, 'fr') assert_equal(fr.track_params, set(["ACT", "BUd", "FP", "LAN", "P_NL", "TRU", "TRUCR", "U"])) assert_equal(fr.B, 3) assert_equal(fr.phi, 2.0*(10.0**15)) assert_equal(fr.fuel_chemical_form["IHM"], 1.0) assert_equal(fr.coolant_chemical_form["NA23"], 1.0) assert_equal(fr.rhoF, 18.0) assert_equal(fr.rhoC, 0.927) assert_equal(fr.P_NL, 0.65) assert_equal(fr.target_BU, 140.0) assert_false(fr.use_zeta) assert_equal(fr.lattice_flag, "Cylindrical") assert_false(fr.rescale_hydrogen_xs) assert_equal(fr.r, 0.3115) assert_equal(fr.l, 0.956) assert_equal(fr.S_O, 19.0) assert_equal(fr.S_T, 163.0) @with_setup(None, teardown_fr1g) def test_FastReactor1G_6(): lf = os.getenv("BRIGHT_DATA") + "/FR.h5" rp = fr_defaults() rp.BUt = 140.0 fr = FastReactor1G(lib=lf, rp=rp) assert_equal(fr.libfile, lf) assert_equal(fr.name, '') assert_equal(fr.track_params, set(["ACT", "BUd", "FP", "LAN", "P_NL", "TRU", "TRUCR", "U"])) assert_equal(fr.B, 3) assert_equal(fr.phi, 2.0*(10.0**15)) assert_equal(fr.fuel_chemical_form["IHM"], 1.0) assert_equal(fr.coolant_chemical_form["NA23"], 1.0) assert_equal(fr.rhoF, 18.0) assert_equal(fr.rhoC, 0.927) assert_equal(fr.P_NL, 0.65) assert_equal(fr.target_BU, 140.0) assert_false(fr.use_zeta) assert_equal(fr.lattice_flag, "Cylindrical") assert_false(fr.rescale_hydrogen_xs) assert_equal(fr.r, 0.3115) assert_equal(fr.l, 0.956) assert_equal(fr.S_O, 19.0) assert_equal(fr.S_T, 163.0) @with_setup(None, teardown_fr1g) def test_FastReactor1G_7(): lf = os.getenv("BRIGHT_DATA") + "/FR.h5" rp = fr_defaults() rp.BUt = 140.0 fr = FastReactor1G(lib=lf, rp=rp, n='fr') assert_equal(fr.libfile, lf) assert_equal(fr.name, 'fr') assert_equal(fr.track_params, set(["ACT", "BUd", "FP", "LAN", "P_NL", "TRU", "TRUCR", "U"])) assert_equal(fr.B, 3) assert_equal(fr.phi, 2.0*(10.0**15)) assert_equal(fr.fuel_chemical_form["IHM"], 1.0) assert_equal(fr.coolant_chemical_form["NA23"], 1.0) assert_equal(fr.rhoF, 18.0) assert_equal(fr.rhoC, 0.927) assert_equal(fr.P_NL, 0.65) assert_equal(fr.target_BU, 140.0) assert_false(fr.use_zeta) assert_equal(fr.lattice_flag, "Cylindrical") assert_false(fr.rescale_hydrogen_xs) assert_equal(fr.r, 0.3115) assert_equal(fr.l, 0.956) assert_equal(fr.S_O, 19.0) assert_equal(fr.S_T, 163.0) # # Tests that the fuel cycle component attributes work. # @with_setup(None, teardown_fr1g) def test_track_params(): fr = FastReactor1G() assert_equal(fr.track_params, set(["ACT", "BUd", "FP", "LAN", "P_NL", "TRU", "TRUCR", "U"])) fr.track_params = set(["Mass"]) assert_equal(fr.track_params, set(["Mass"])) # # Tests that the fuel cycle component methods work. # @with_setup(None, teardown_fr1g) def test_calc_params(): lf = os.getenv("BRIGHT_DATA") + "/FR.h5" load_track_nucs_hdf5(lf) rp = fr_defaults() rp.BUt = 140.0 fr = FastReactor1G(lib=lf, rp=rp, n='fr') fr.calc(Material({922350: 0.30, 922380: 0.70})) fr.calc_params() assert_equal(fr.params_prior_calc["BUd"], 0.0) assert_equal(fr.params_after_calc["BUd"], fr.BUd) assert_equal(fr.params_prior_calc["TRUCR"], 0.0) assert_equal(fr.params_after_calc["TRUCR"], fr.tru_cr) assert_equal(fr.params_prior_calc["P_NL"], 0.0) assert_equal(fr.params_after_calc["P_NL"], fr.P_NL) assert_equal(fr.params_prior_calc["U"], fr.mat_feed_u.mass) assert_equal(fr.params_after_calc["U"], fr.mat_prod_u.mass) assert_equal(fr.params_prior_calc["TRU"], fr.mat_feed_tru.mass) assert_equal(fr.params_after_calc["TRU"], fr.mat_prod_tru.mass) assert_equal(fr.params_prior_calc["ACT"], fr.mat_feed_act.mass) assert_equal(fr.params_after_calc["ACT"], fr.mat_prod_act.mass) assert_equal(fr.params_prior_calc["LAN"], fr.mat_feed_lan.mass) assert_equal(fr.params_after_calc["LAN"], fr.mat_prod_lan.mass) assert_equal(fr.params_prior_calc["FP"], 1.0 - fr.mat_feed_act.mass - fr.mat_feed_lan.mass) assert_equal(fr.params_after_calc["FP"], 1.0 - fr.mat_prod_act.mass - fr.mat_prod_lan.mass) # Put Integral tests here, if desired. if __name__ == "__main__": nose.main()

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null

0

1

0

7

05b731f4c8d3283c417ff65ef7f0fd57c581740d

5,024

py

Python

test/test_data.py

Jhsmit/AtomicPlot

551a79b899008408e1126e67ee690a87b0aa6e15

[ "MIT" ]

null

test/test_data.py

Jhsmit/AtomicPlot

551a79b899008408e1126e67ee690a87b0aa6e15

[ "MIT" ]

1

2018-06-07T09:40:19.000Z

test/test_data.py

Jhsmit/AtomicPlot

551a79b899008408e1126e67ee690a87b0aa6e15

[ "MIT" ]

null

from atomicplot.data import XYDataObject import unittest import numpy as np class DataObjectTest(unittest.TestCase): def test_inputtype(self): with self.assertRaises(TypeError): x = 'test_string' y = [1, 2, 3, 4] XYDataObject(x, y) with self.assertRaises(ValueError): x = [1, 2, 3, 4, 5] y = [1, 2, 3, 4] XYDataObject(x, y) with self.assertRaises(ValueError): x = np.arange(10).reshape(5) y = np.arange(5) XYDataObject(x, y) def test_add(self): x = np.arange(4) y = np.arange(4) + 5 d = XYDataObject(x, y) d_out = d + 10 # Test adding scalar self.assertTrue(np.array_equal(d.y + 10, d_out.y)) d_out = d + y[::-1] # Test adding array self.assertTrue(np.array_equal(d.y + y[::-1], d_out.y)) d_out = d + XYDataObject(x, y ** 2) # Test subtracting another DataObject self.assertTrue(np.array_equal(d.y + y**2, d_out.y)) def test_sub(self): x = np.arange(4) y = np.arange(4) + 5 d = XYDataObject(x, y) d_out = d - 10 # Test subtracting scalar self.assertTrue(np.array_equal(d.y - 10, d_out.y)) d_out = d - y[::-1] # Test subtracting array self.assertTrue(np.array_equal(d.y - y[::-1], d_out.y)) d_out = d - XYDataObject(x, y ** 2) # Test adding another DataObject self.assertTrue(np.array_equal(d.y - y**2, d_out.y)) def test_mul(self): x = np.arange(4) y = np.arange(4) + 5 d = XYDataObject(x, y) d_out = d * 10 # Test multiplying scalar self.assertTrue(np.array_equal(d.y * 10, d_out.y)) d_out = d * y[::-1] # Test multiplying array self.assertTrue(np.array_equal(d.y * y[::-1], d_out.y)) d_out = d * XYDataObject(x, y ** 2) # Test multiplying another DataObject self.assertTrue(np.array_equal(d.y * y**2, d_out.y)) def test_truediv(self): x = np.arange(4) y = np.arange(4) + 5 d = XYDataObject(x, y) d_out = d / 10 self.assertTrue(np.array_equal(d.y / 10, d_out.y)) d_out = d / y[::-1] self.assertTrue(np.array_equal(d.y / y[::-1], d_out.y)) d_out = d / XYDataObject(x, y ** 2) self.assertTrue(np.array_equal(d.y / y**2, d_out.y)) def test_floordiv(self): x = np.arange(4) y = np.arange(4) + 5 d = XYDataObject(x, y) d_out = d // 10 self.assertTrue(np.array_equal(d.y // 10, d_out.y)) d_out = d // y[::-1] self.assertTrue(np.array_equal(d.y // y[::-1], d_out.y)) d_out = d // XYDataObject(x, y ** 2) self.assertTrue(np.array_equal(d.y // y**2, d_out.y)) def test_pow(self): x = np.arange(4) y = np.arange(4) + 5 d = XYDataObject(x, y) d_out = d ** 10 # Test multiplying scalar self.assertTrue(np.array_equal(d.y ** 10, d_out.y)) d_out = d ** y[::-1] # Test multiplying array self.assertTrue(np.array_equal(d.y ** y[::-1], d_out.y)) d_out = d ** XYDataObject(x, y ** 2) # Test multiplying another DataObject self.assertTrue(np.array_equal(d.y ** (y**2), d_out.y)) def test_neg(self): x = np.arange(4) y = np.arange(4) + 5 d = XYDataObject(x, y) d_out = -d self.assertTrue(np.array_equal(-1*d.y, d_out.y)) def test_abs(self): x = np.arange(4) y = np.arange(4) - 3 d = XYDataObject(x, y) d_out = abs(d) self.assertTrue(np.array_equal(np.absolute(d.y), d_out.y)) def test_isub(self): x = np.arange(4) y = (np.arange(4) + 5) d = XYDataObject(x, y) d -= 3 self.assertTrue(np.array_equal(d.y, y - 3)) def test_iadd(self): x = np.arange(4) y = (np.arange(4) + 5) d = XYDataObject(x, y) d += 3 self.assertTrue(np.array_equal(d.y, y + 3)) def test_imul(self): x = np.arange(4) y = (np.arange(4) + 5) d = XYDataObject(x, y) d *= 3 self.assertTrue(np.array_equal(d.y, y * 3)) def test_itruediv(self): x = np.arange(4) y = (np.arange(4) + 5).astype('float') d = XYDataObject(x, y) d /= 3 self.assertTrue(np.array_equal(d.y, y/3)) def test_ifloordiv(self): x = np.arange(4) y = (np.arange(4) + 5).astype('float') d = XYDataObject(x, y) d //= 3 self.assertTrue(np.array_equal(d.y, y // 3)) def test_ipow(self): x = np.arange(4) y = (np.arange(4) + 5) d = XYDataObject(x, y) d **= 3 self.assertTrue(np.array_equal(d.y, y**3)) if __name__ == '__main__': unittest.main()

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5,024

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0

null

0

1

0

null

0

7

bbc0ba934997c9177142f4238c889e732f5e91ce

88

py

Python

gui/__init__.py

schnitzlein/python-qt5-hello-world

6314beb798fd118a40b823763464bd8bd81af644

[ "MIT" ]

null

gui/__init__.py

schnitzlein/python-qt5-hello-world

6314beb798fd118a40b823763464bd8bd81af644

[ "MIT" ]

1

2021-04-09T19:45:28.000Z

gui/__init__.py

schnitzlein/python-qt5-hello-world

6314beb798fd118a40b823763464bd8bd81af644

[ "MIT" ]

2

2021-03-21T16:14:44.000Z

2021-04-08T19:03:22.000Z

from .gui_element_builder import GuiElementsBuilder from .gui_element import Gui_Element

44

51

0.897727

12

88

6.25

0.5

0.4

0.373333

0

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88

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7

bbe0d003b0ad3d733dcd999253f6c764825f582d

181

py

Python

Term2/6-type-casting-float.py

theseana/apondaone

7cbf3572a86c73220329804fee1f3d03842ae902

[ "MIT" ]

null

Term2/6-type-casting-float.py

theseana/apondaone

7cbf3572a86c73220329804fee1f3d03842ae902

[ "MIT" ]

null

Term2/6-type-casting-float.py

theseana/apondaone

7cbf3572a86c73220329804fee1f3d03842ae902

[ "MIT" ]

null

# a = '42.3' # print(type(a)) # a = float(a) # print(type(a)) # a = '42' # print(type(a)) # a = float(a) # print(type(a), a) a = 42 print(type(a)) a = float(a) print(type(a), a)

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181

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0.645161

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0.956989

0

0.048611

0.20442

181

15

20

12.066667

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1

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false

0

0.5

0

null

0

1

0

null

0

1

0

9

3c1c810ca90765cc19ed545872dd396f4ff49cca

224

py

Python

machine_learning/__init__.py

ByungjunKim/teanaps

84eb0a1dd2c2b568105182a9bce2b0a588a97720

[ "Apache-2.0" ]

93

2019-06-01T18:14:17.000Z

2022-03-19T01:50:32.000Z

machine_learning/__init__.py

ByungjunKim/teanaps

84eb0a1dd2c2b568105182a9bce2b0a588a97720

[ "Apache-2.0" ]

5

2020-10-30T15:34:55.000Z

2021-09-25T06:02:52.000Z

machine_learning/__init__.py

ByungjunKim/teanaps

84eb0a1dd2c2b568105182a9bce2b0a588a97720

[ "Apache-2.0" ]

12

2019-12-19T08:09:38.000Z

2022-03-15T07:30:51.000Z

from __future__ import absolute_import from teanaps.machine_learning.Regression import Regression from teanaps.machine_learning.Classification import Classification from teanaps.machine_learning.Clustering import Clustering

44.8

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0.170103

0.278351

0.402062

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null

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1

0

1

0

7

3c8d5d2bb203bffe0b2723739dbeca68085571d7

14,844

py

Python

zang/connectors/applications_connector.py

vlastikczech/zang-python

980f5243071404d6838554500a6955ff7bc2a0c7

[ "MIT" ]

1

2019-02-18T21:51:58.000Z

zang/connectors/applications_connector.py

vlastikczech/zang-python

980f5243071404d6838554500a6955ff7bc2a0c7

[ "MIT" ]

6

2019-06-26T13:56:22.000Z

2022-02-17T16:40:48.000Z

zang/connectors/applications_connector.py

vlastikczech/zang-python

980f5243071404d6838554500a6955ff7bc2a0c7

[ "MIT" ]

6

2017-10-17T12:44:32.000Z

2020-02-07T20:45:00.000Z

# -*- coding: utf-8 -*- """ zang.connectors.applications_connector ~~~~~~~~~~~~~~~~~~~ Module for communication with `Applications` endpoint """ from zang.connectors.base_connector import BaseConnector from zang.helpers.helpers import flatDict from zang.domain.application import Application from zang.domain.list.applications import Applications class ApplicationsConnector(BaseConnector): def __init__(self, executor): super(ApplicationsConnector, self).__init__(executor) def viewApplication(self, applicationSid): """ Shows info on a TelAPI application. :param applicationSid: Application SID. :type applicationSid: str :return: `Application` object :rtype: zang.domain.application.Application :raises ZangException: """ application = self._executor.read( ('Applications', applicationSid), Application) return application def listApplications(self, friendlyName=None, page=None, pageSize=None): """ Shows info on all TelAPI applications associated with some account. :param friendlyName: (optional) Filters by the application's FriendlyName. :param page: (optional) Used to return a particular page within the list. :param pageSize: (optional) Used to specify the amount of list items to return per page. :type friendlyName: str :type page: int :type pageSize: int :return: `Applications` object :rtype: zang.domain.list.applications.Applications :raises ZangException: """ queryParams = { 'FriendlyName': friendlyName, 'Page': page, 'PageSize': pageSize, } params = flatDict(queryParams) applications = self._executor.read( ('Applications',), Applications, params=params) return applications def createApplication( self, friendlyName=None, voiceUrl=None, voiceMethod=None, voiceFallbackUrl=None, voiceFallbackMethod=None, voiceCallerIdLookup=None, smsUrl=None, smsMethod=None, smsFallbackUrl=None, smsFallbackMethod=None, heartbeatUrl=None, heartbeatMethod=None, statusCallback=None, statusCallbackMethod=None, hangupCallback=None, hangupCallbackMethod=None,): """ Creates a new TelAPI application. :param friendlyName: (optional) The name used to identify This application. If this is not included at the initial POST, it is given the value of the application sid. :param voiceUrl: (optional) The URL requested once the call connects. This URL must be valid and should return InboundXML containing instructions on how to process your call. A badly formatted Url will NOT fallback to the FallbackUrl but return an error without placing the call. Url length is limited to 200 characters. :param voiceMethod: (optional) The HTTP method used to request the URL once the call connects. Valid parameters are GET and POST - any other value will default to POST. :param voiceFallbackUrl: (optional) URL used if the required URL is unavailable or if any errors occur during execution of the InboundXML returned by the required URL. Url length is limited to 200 characters. :param voiceFallbackMethod: (optional) The HTTP method used to request the FallbackUrl once the call connects. Valid parameters are GET and POST - any other value will default to POST. :param voiceCallerIdLookup: (optional) Look up the caller’s caller-ID name from the CNAM database (additional charges apply). Allowed values are "true" and "false". :param smsUrl: (optional) The URL requested when an SMS is received. This URL must be valid and should return InboundXML containing instructions on how to process the SMS. A badly formatted URL will NOT fallback to the FallbackUrl but return an error without placing the call. URL length is limited to 200 characters. :param smsMethod: (optional) The HTTP method used to request the URL when an SMS is received. Valid parameters are GET and POST - any other value will default to POST. :param smsFallbackUrl: (optional) URL used if the required URL is unavailable or if any errors occur during execution of the InboundXML returned by the required URL. Url length is limited to 200 characters. :param smsFallbackMethod: (optional) The HTTP method used to request the FallbackUrl once the call connects. Valid parameters are GET and POST - any other value will default to POST. :param heartbeatUrl: (optional) A URL that will be requested every 60 seconds during the call, sending information about the call. The HeartbeatUrl will NOT be requested unless at least 60 seconds of call time have elapsed. URL length is limited to 200 characters. :param heartbeatMethod: (optional) The HTTP method used to request the HeartbeatUrl. Valid parameters are GET and POST - any other value will default to POST. :param statusCallback: (optional) A URL that will be requested when the call connects and ends, sending information about the call. URL length is limited to 200 characters. :param statusCallbackMethod: (optional) The HTTP method used to request the StatusCallback URL. Valid parameters are GET and POST - any other value will default to POST. :param hangupCallback: (optional) This is a StatusCallback clone that will be phased out in future versions. :param hangupCallbackMethod: (optional) This is a StatusCallbackMethod clone that will be phased out in future versions. :type friendlyName: str :type voiceUrl: str :type voiceMethod: zang.domain.enums.http_method.HttpMethod :type voiceFallbackUrl: str :type voiceFallbackMethod: zang.domain.enums.http_method.HttpMethod :type voiceCallerIdLookup: bool :type smsUrl: str :type smsMethod: zang.domain.enums.http_method.HttpMethod :type smsFallbackUrl: str :type smsFallbackMethod: zang.domain.enums.http_method.HttpMethod :type heartbeatUrl: str :type heartbeatMethod: zang.domain.enums.http_method.HttpMethod :type statusCallback: str :type statusCallbackMethod: zang.domain.enums.http_method.HttpMethod :type hangupCallback: str :type hangupCallbackMethod: zang.domain.enums.http_method.HttpMethod :return: `Application` object :rtype: zang.domain.application.Application :raises ZangException: """ bodyParams = { 'FriendlyName': friendlyName, 'VoiceUrl': voiceUrl, 'VoiceMethod': voiceMethod, 'VoiceFallbackUrl': voiceFallbackUrl, 'VoiceFallbackMethod': voiceFallbackMethod, 'VoiceCallerIdLookup': voiceCallerIdLookup, 'SmsUrl': smsUrl, 'SmsMethod': smsMethod, 'SmsFallbackUrl': smsFallbackUrl, 'SmsFallbackMethod': smsFallbackMethod, 'HeartbeatUrl': heartbeatUrl, 'HeartbeatMethod': heartbeatMethod, 'StatusCallback': statusCallback, 'StatusCallbackMethod': statusCallbackMethod, 'HangupCallback': hangupCallback, 'HangupCallbackMethod': hangupCallbackMethod, } data = flatDict(bodyParams) application = self._executor.create( ('Applications',), Application, data) return application def updateApplication( self, applicationSid, friendlyName=None, voiceUrl=None, voiceMethod=None, voiceFallbackUrl=None, voiceFallbackMethod=None, voiceCallerIdLookup=None, smsUrl=None, smsMethod=None, smsFallbackUrl=None, smsFallbackMethod=None, heartbeatUrl=None, heartbeatMethod=None, statusCallback=None, statusCallbackMethod=None, hangupCallback=None, hangupCallbackMethod=None,): """ Updates TelAPI application data. :param ApplicationSid: Application SID :param FriendlyName: (optional) The name used to identify this application. If this is not included at the initial POST, it is given the value of the application sid. :param VoiceUrl: (optional) The URL requested once the call connects. This URL must be valid and should return InboundXML containing instructions on how to process your call. A badly formatted Url will NOT fallback to the FallbackUrl but return an error without placing the call. Url length is limited to 200 characters. :param VoiceMethod: (optional) The HTTP method used to request the URL once the call connects. Valid parameters are GET and POST - any other value will default to POST. :param VoiceFallbackUrl: (optional) URL used if the required URL is unavailable or if any errors occur during execution of the InboundXML returned by the required URL. URL length is limited to 200 characters. :param VoiceFallbackMethod: (optional) The HTTP method used to request the FallbackUrl once the call connects. Valid parameters are GET and POST - any other value will default to POST. :param VoiceCallerIdLookup: (optional) Look up the caller’s caller-ID name from the CNAM database (additional charges apply). Allowed values are "true" and "false". :param SmsUrl: (optional) The URL requested when an SMS is received. This URL must be valid and should return InboundXML containing instructions on how to process the SMS. A badly formatted URL will NOT fallback to the FallbackUrl but return an error without placing the call. URL length is limited to 200 characters. :param SmsMethod: (optional) The HTTP method used to request the URL when an SMS is received. Valid parameters are GET and POST - any other value will default to POST. :param SmsFallbackUrl: (optional) URL used if the required URL is unavailable or if any errors occur during execution of the InboundXML returned by the required URL. URL length is limited to 200 characters. :param SmsFallbackMethod: (optional) The HTTP method used to request the FallbackUrl once the call connects. Valid parameters are GET and POST - any other value will default to POST. :param HeartbeatUrl: (optional) A URL that will be requested every 60 seconds during the call, sending information about the call. The HeartbeatUrl will NOT be requested unless at least 60 seconds of call time have elapsed. URL length is limited to 200 characters. :param HeartbeatMethod: (optional) The HTTP method used to request the HeartbeatUrl. Valid parameters are GET and POST - any other value will default to POST. :param StatusCallback: (optional) A URL that will be requested when the call connects and ends, sending information about the call. URL length is limited to 200 characters. :param StatusCallbackMethod: (optional) The HTTP method used to request the StatusCallback URL. Valid parameters are GET and POST - any other value will default to POST. :param HangupCallback: (optional) This is a StatusCallback clone that will be phased out in future versions. :param HangupCallbackMethod: (optional) This is a StatusCallbackMethod clone that will be phased out in future versions. :type ApplicationSid: str :type FriendlyName: str :type VoiceUrl: str :type VoiceMethod: zang.domain.enums.http_method.HttpMethod :type VoiceFallbackUrl: str :type VoiceFallbackMethod: zang.domain.enums.http_method.HttpMethod :type VoiceCallerIdLookup: bool :type SmsUrl: str :type SmsMethod: zang.domain.enums.http_method.HttpMethod :type SmsFallbackUrl: str :type SmsFallbackMethod: zang.domain.enums.http_method.HttpMethod :type HeartbeatUrl: str :type HeartbeatMethod: zang.domain.enums.http_method.HttpMethod :type StatusCallback: str :type StatusCallbackMethod: zang.domain.enums.http_method.HttpMethod :type HangupCallback: str :type HangupCallbackMethod: zang.domain.enums.http_method.HttpMethod :return: `Application` object :rtype: zang.domain.application.Application :raises ZangException: """ bodyParams = { 'FriendlyName': friendlyName, 'VoiceUrl': voiceUrl, 'VoiceMethod': voiceMethod, 'VoiceFallbackUrl': voiceFallbackUrl, 'VoiceFallbackMethod': voiceFallbackMethod, 'VoiceCallerIdLookup': voiceCallerIdLookup, 'SmsUrl': smsUrl, 'SmsMethod': smsMethod, 'SmsFallbackUrl': smsFallbackUrl, 'SmsFallbackMethod': smsFallbackMethod, 'HeartbeatUrl': heartbeatUrl, 'HeartbeatMethod': heartbeatMethod, 'StatusCallback': statusCallback, 'StatusCallbackMethod': statusCallbackMethod, 'HangupCallback': hangupCallback, 'HangupCallbackMethod': hangupCallbackMethod, } data = flatDict(bodyParams) application = self._executor.update( ('Applications', applicationSid), Application, data) return application def deleteApplication(self, applicationSid): """ Deletes TelAPI application. :param applicationSid: Application SID. :type applicationSid: str :return: `Application` object :rtype: zang.domain.application.Application :raises ZangException: """ application = self._executor.delete( ('Applications', applicationSid), Application) return application

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py

Python

creator/ingest_runs/nodes/__init__.py

kids-first/kf-api-study-creator

93a79b108b6474f9b4135ace06c89ddcf63dd257

[ "Apache-2.0" ]

3

2019-05-04T02:07:28.000Z

2020-10-16T17:47:44.000Z

creator/ingest_runs/nodes/__init__.py

kids-first/kf-api-study-creator

93a79b108b6474f9b4135ace06c89ddcf63dd257

[ "Apache-2.0" ]

604

2019-02-21T18:14:51.000Z

2022-02-10T08:13:54.000Z

creator/ingest_runs/nodes/__init__.py

kids-first/kf-api-study-creator

93a79b108b6474f9b4135ace06c89ddcf63dd257

[ "Apache-2.0" ]

null

from .ingest_run import * from .validation_run import * from .validation_resultset import *

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py

Python

tensorpack/dataflow/dataset/camvid.py

MarcWong/tensorpack

51ab279480dc1e3ffdc07884a9e8149dea9651e9

[ "Apache-2.0" ]

5

2018-05-04T02:04:15.000Z

2020-04-02T05:38:48.000Z

tensorpack/dataflow/dataset/camvid.py

MarcWong/tensorpack

51ab279480dc1e3ffdc07884a9e8149dea9651e9

[ "Apache-2.0" ]

null

tensorpack/dataflow/dataset/camvid.py

MarcWong/tensorpack

51ab279480dc1e3ffdc07884a9e8149dea9651e9

[ "Apache-2.0" ]

2

2018-04-23T13:43:10.000Z

2019-10-30T09:56:54.000Z

# Author: Tao Hu <taohu620@gmail.com> import os import gzip import numpy as np import cv2 from tensorpack.utils import logger from tensorpack.dataflow.base import RNGDataFlow __all__ = ['Camvid', 'CamvidFiles'] class Camvid(RNGDataFlow): def __init__(self, dir, meta_dir, name, shuffle=None): assert name in ['train', 'val', 'train_val', 'test'], name assert os.path.isdir(dir), dir self.reset_state() self.dir = dir self.name = name if shuffle is None: shuffle = (name == 'train') self.shuffle = shuffle self.imglist = [] if name == 'train': f = open(os.path.join(meta_dir,"train.txt"),"r") elif name =="val": f = open(os.path.join(meta_dir, "val.txt"), "r") elif name =="train_val": f = open(os.path.join(meta_dir, "train_val.txt"), "r") elif name == "test": f = open(os.path.join(meta_dir, "test.txt"), "r") else: raise for line in f.readlines(): self.imglist.append(line.strip("\n").split(" ")) f.close() #self.imglist = self.imglist[:20] def size(self): return len(self.imglist) @staticmethod def class_num(): return 11 # #Sky, Building, Pole, Road, Pavement, Tree, SignSymbol, Fence, Car, Pedestrian, Bicyclist, Unlabelled #0,1,2,3,4,5,6,7,8,9,10,11 def get_data(self): idxs = np.arange(len(self.imglist)) if self.shuffle: self.rng.shuffle(idxs) for k in idxs: fname, flabel = self.imglist[k] fname = os.path.join(self.dir, fname) flabel = os.path.join(self.dir,flabel) fname = cv2.imread(fname, cv2.IMREAD_COLOR) flabel = cv2.imread(flabel, cv2.IMREAD_GRAYSCALE) yield [fname, flabel] class CamvidFiles(RNGDataFlow): def __init__(self, dir, meta_dir, name, shuffle=None): assert name in ['train', 'val', 'train_val', 'test'], name assert os.path.isdir(dir), dir self.reset_state() self.dir = dir self.name = name if shuffle is None: shuffle = (name == 'train') self.shuffle = shuffle self.imglist = [] if name == 'train': f = open(os.path.join(meta_dir,"train.txt"),"r") elif name =="val": f = open(os.path.join(meta_dir, "val.txt"), "r") elif name =="train_val": f = open(os.path.join(meta_dir, "train_val.txt"), "r") elif name == "test": f = open(os.path.join(meta_dir, "test.txt"), "r") else: raise for line in f.readlines(): self.imglist.append(line.strip("\n").split(" ")) f.close() #self.imglist = self.imglist[:20] def size(self): return len(self.imglist) @staticmethod def class_num(): return 11 # #Sky, Building, Pole, Road, Pavement, Tree, SignSymbol, Fence, Car, Pedestrian, Bicyclist, Unlabelled #0,1,2,3,4,5,6,7,8,9,10,11 def get_data(self): idxs = np.arange(len(self.imglist)) if self.shuffle: self.rng.shuffle(idxs) for k in idxs: fname, flabel = self.imglist[k] fname = os.path.join(self.dir, fname) flabel = os.path.join(self.dir,flabel) #fname = cv2.imread(fname, cv2.IMREAD_COLOR) #flabel = cv2.imread(flabel, cv2.IMREAD_GRAYSCALE) yield [fname, flabel] if __name__ == '__main__': pass

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ab6e3276c5b7b34fbec5842b4c163cc7573aa0ae

45,068

py

Python

pynos/versions/ver_7/ver_7_1_0/yang/brocade_mac_access_list.py

bdeetz/pynos

bd8a34e98f322de3fc06750827d8bbc3a0c00380

[ "Apache-2.0" ]

12

2015-09-21T23:56:09.000Z

2018-03-30T04:35:32.000Z

pynos/versions/ver_7/ver_7_1_0/yang/brocade_mac_access_list.py

bdeetz/pynos

bd8a34e98f322de3fc06750827d8bbc3a0c00380

[ "Apache-2.0" ]

10

2016-09-15T19:03:27.000Z

2017-07-17T23:38:01.000Z

pynos/versions/ver_7/ver_7_1_0/yang/brocade_mac_access_list.py

bdeetz/pynos

bd8a34e98f322de3fc06750827d8bbc3a0c00380

[ "Apache-2.0" ]

6

2015-08-14T08:05:23.000Z

2022-02-03T15:33:54.000Z

#!/usr/bin/env python import xml.etree.ElementTree as ET class brocade_mac_access_list(object): """Auto generated class. """ def __init__(self, **kwargs): self._callback = kwargs.pop('callback') def mac_access_list_standard_name(self, **kwargs): """Auto Generated Code """ config = ET.Element("config") mac = ET.SubElement(config, "mac", xmlns="urn:brocade.com:mgmt:brocade-mac-access-list") access_list = ET.SubElement(mac, "access-list") standard = ET.SubElement(access_list, "standard") name = ET.SubElement(standard, "name") name.text = kwargs.pop('name') callback = kwargs.pop('callback', self._callback) return callback(config) def mac_access_list_standard_hide_mac_acl_std_seq_seq_id(self, **kwargs): """Auto Generated Code """ config = ET.Element("config") mac = ET.SubElement(config, "mac", xmlns="urn:brocade.com:mgmt:brocade-mac-access-list") access_list = ET.SubElement(mac, "access-list") standard = ET.SubElement(access_list, "standard") name_key = ET.SubElement(standard, "name") name_key.text = kwargs.pop('name') hide_mac_acl_std = ET.SubElement(standard, "hide-mac-acl-std") seq = ET.SubElement(hide_mac_acl_std, "seq") seq_id = ET.SubElement(seq, "seq-id") seq_id.text = kwargs.pop('seq_id') callback = kwargs.pop('callback', self._callback) return callback(config) def mac_access_list_standard_hide_mac_acl_std_seq_action(self, **kwargs): """Auto Generated Code """ config = ET.Element("config") mac = ET.SubElement(config, "mac", xmlns="urn:brocade.com:mgmt:brocade-mac-access-list") access_list = ET.SubElement(mac, "access-list") standard = ET.SubElement(access_list, "standard") name_key = ET.SubElement(standard, "name") name_key.text = kwargs.pop('name') hide_mac_acl_std = ET.SubElement(standard, "hide-mac-acl-std") seq = ET.SubElement(hide_mac_acl_std, "seq") seq_id_key = ET.SubElement(seq, "seq-id") seq_id_key.text = kwargs.pop('seq_id') action = ET.SubElement(seq, "action") action.text = kwargs.pop('action') callback = kwargs.pop('callback', self._callback) return callback(config) def mac_access_list_standard_hide_mac_acl_std_seq_source(self, **kwargs): """Auto Generated Code """ config = ET.Element("config") mac = ET.SubElement(config, "mac", xmlns="urn:brocade.com:mgmt:brocade-mac-access-list") access_list = ET.SubElement(mac, "access-list") standard = ET.SubElement(access_list, "standard") name_key = ET.SubElement(standard, "name") name_key.text = kwargs.pop('name') hide_mac_acl_std = ET.SubElement(standard, "hide-mac-acl-std") seq = ET.SubElement(hide_mac_acl_std, "seq") seq_id_key = ET.SubElement(seq, "seq-id") seq_id_key.text = kwargs.pop('seq_id') source = ET.SubElement(seq, "source") source.text = kwargs.pop('source') callback = kwargs.pop('callback', self._callback) return callback(config) def mac_access_list_standard_hide_mac_acl_std_seq_srchost(self, **kwargs): """Auto Generated Code """ config = ET.Element("config") mac = ET.SubElement(config, "mac", xmlns="urn:brocade.com:mgmt:brocade-mac-access-list") access_list = ET.SubElement(mac, "access-list") standard = ET.SubElement(access_list, "standard") name_key = ET.SubElement(standard, "name") name_key.text = kwargs.pop('name') hide_mac_acl_std = ET.SubElement(standard, "hide-mac-acl-std") seq = ET.SubElement(hide_mac_acl_std, "seq") seq_id_key = ET.SubElement(seq, "seq-id") seq_id_key.text = kwargs.pop('seq_id') srchost = ET.SubElement(seq, "srchost") srchost.text = kwargs.pop('srchost') callback = kwargs.pop('callback', self._callback) return callback(config) def mac_access_list_standard_hide_mac_acl_std_seq_src_mac_addr_mask(self, **kwargs): """Auto Generated Code """ config = ET.Element("config") mac = ET.SubElement(config, "mac", xmlns="urn:brocade.com:mgmt:brocade-mac-access-list") access_list = ET.SubElement(mac, "access-list") standard = ET.SubElement(access_list, "standard") name_key = ET.SubElement(standard, "name") name_key.text = kwargs.pop('name') hide_mac_acl_std = ET.SubElement(standard, "hide-mac-acl-std") seq = ET.SubElement(hide_mac_acl_std, "seq") seq_id_key = ET.SubElement(seq, "seq-id") seq_id_key.text = kwargs.pop('seq_id') src_mac_addr_mask = ET.SubElement(seq, "src-mac-addr-mask") src_mac_addr_mask.text = kwargs.pop('src_mac_addr_mask') callback = kwargs.pop('callback', self._callback) return callback(config) def mac_access_list_standard_hide_mac_acl_std_seq_count(self, **kwargs): """Auto Generated Code """ config = ET.Element("config") mac = ET.SubElement(config, "mac", xmlns="urn:brocade.com:mgmt:brocade-mac-access-list") access_list = ET.SubElement(mac, "access-list") standard = ET.SubElement(access_list, "standard") name_key = ET.SubElement(standard, "name") name_key.text = kwargs.pop('name') hide_mac_acl_std = ET.SubElement(standard, "hide-mac-acl-std") seq = ET.SubElement(hide_mac_acl_std, "seq") seq_id_key = ET.SubElement(seq, "seq-id") seq_id_key.text = kwargs.pop('seq_id') count = ET.SubElement(seq, "count") callback = kwargs.pop('callback', self._callback) return callback(config) def mac_access_list_standard_hide_mac_acl_std_seq_log(self, **kwargs): """Auto Generated Code """ config = ET.Element("config") mac = ET.SubElement(config, "mac", xmlns="urn:brocade.com:mgmt:brocade-mac-access-list") access_list = ET.SubElement(mac, "access-list") standard = ET.SubElement(access_list, "standard") name_key = ET.SubElement(standard, "name") name_key.text = kwargs.pop('name') hide_mac_acl_std = ET.SubElement(standard, "hide-mac-acl-std") seq = ET.SubElement(hide_mac_acl_std, "seq") seq_id_key = ET.SubElement(seq, "seq-id") seq_id_key.text = kwargs.pop('seq_id') log = ET.SubElement(seq, "log") callback = kwargs.pop('callback', self._callback) return callback(config) def mac_access_list_extended_name(self, **kwargs): """Auto Generated Code """ config = ET.Element("config") mac = ET.SubElement(config, "mac", xmlns="urn:brocade.com:mgmt:brocade-mac-access-list") access_list = ET.SubElement(mac, "access-list") extended = ET.SubElement(access_list, "extended") name = ET.SubElement(extended, "name") name.text = kwargs.pop('name') callback = kwargs.pop('callback', self._callback) return callback(config) def mac_access_list_extended_hide_mac_acl_ext_seq_seq_id(self, **kwargs): """Auto Generated Code """ config = ET.Element("config") mac = ET.SubElement(config, "mac", xmlns="urn:brocade.com:mgmt:brocade-mac-access-list") access_list = ET.SubElement(mac, "access-list") extended = ET.SubElement(access_list, "extended") name_key = ET.SubElement(extended, "name") name_key.text = kwargs.pop('name') hide_mac_acl_ext = ET.SubElement(extended, "hide-mac-acl-ext") seq = ET.SubElement(hide_mac_acl_ext, "seq") seq_id = ET.SubElement(seq, "seq-id") seq_id.text = kwargs.pop('seq_id') callback = kwargs.pop('callback', self._callback) return callback(config) def mac_access_list_extended_hide_mac_acl_ext_seq_action(self, **kwargs): """Auto Generated Code """ config = ET.Element("config") mac = ET.SubElement(config, "mac", xmlns="urn:brocade.com:mgmt:brocade-mac-access-list") access_list = ET.SubElement(mac, "access-list") extended = ET.SubElement(access_list, "extended") name_key = ET.SubElement(extended, "name") name_key.text = kwargs.pop('name') hide_mac_acl_ext = ET.SubElement(extended, "hide-mac-acl-ext") seq = ET.SubElement(hide_mac_acl_ext, "seq") seq_id_key = ET.SubElement(seq, "seq-id") seq_id_key.text = kwargs.pop('seq_id') action = ET.SubElement(seq, "action") action.text = kwargs.pop('action') callback = kwargs.pop('callback', self._callback) return callback(config) def mac_access_list_extended_hide_mac_acl_ext_seq_source(self, **kwargs): """Auto Generated Code """ config = ET.Element("config") mac = ET.SubElement(config, "mac", xmlns="urn:brocade.com:mgmt:brocade-mac-access-list") access_list = ET.SubElement(mac, "access-list") extended = ET.SubElement(access_list, "extended") name_key = ET.SubElement(extended, "name") name_key.text = kwargs.pop('name') hide_mac_acl_ext = ET.SubElement(extended, "hide-mac-acl-ext") seq = ET.SubElement(hide_mac_acl_ext, "seq") seq_id_key = ET.SubElement(seq, "seq-id") seq_id_key.text = kwargs.pop('seq_id') source = ET.SubElement(seq, "source") source.text = kwargs.pop('source') callback = kwargs.pop('callback', self._callback) return callback(config) def mac_access_list_extended_hide_mac_acl_ext_seq_srchost(self, **kwargs): """Auto Generated Code """ config = ET.Element("config") mac = ET.SubElement(config, "mac", xmlns="urn:brocade.com:mgmt:brocade-mac-access-list") access_list = ET.SubElement(mac, "access-list") extended = ET.SubElement(access_list, "extended") name_key = ET.SubElement(extended, "name") name_key.text = kwargs.pop('name') hide_mac_acl_ext = ET.SubElement(extended, "hide-mac-acl-ext") seq = ET.SubElement(hide_mac_acl_ext, "seq") seq_id_key = ET.SubElement(seq, "seq-id") seq_id_key.text = kwargs.pop('seq_id') srchost = ET.SubElement(seq, "srchost") srchost.text = kwargs.pop('srchost') callback = kwargs.pop('callback', self._callback) return callback(config) def mac_access_list_extended_hide_mac_acl_ext_seq_src_mac_addr_mask(self, **kwargs): """Auto Generated Code """ config = ET.Element("config") mac = ET.SubElement(config, "mac", xmlns="urn:brocade.com:mgmt:brocade-mac-access-list") access_list = ET.SubElement(mac, "access-list") extended = ET.SubElement(access_list, "extended") name_key = ET.SubElement(extended, "name") name_key.text = kwargs.pop('name') hide_mac_acl_ext = ET.SubElement(extended, "hide-mac-acl-ext") seq = ET.SubElement(hide_mac_acl_ext, "seq") seq_id_key = ET.SubElement(seq, "seq-id") seq_id_key.text = kwargs.pop('seq_id') src_mac_addr_mask = ET.SubElement(seq, "src-mac-addr-mask") src_mac_addr_mask.text = kwargs.pop('src_mac_addr_mask') callback = kwargs.pop('callback', self._callback) return callback(config) def mac_access_list_extended_hide_mac_acl_ext_seq_dst(self, **kwargs): """Auto Generated Code """ config = ET.Element("config") mac = ET.SubElement(config, "mac", xmlns="urn:brocade.com:mgmt:brocade-mac-access-list") access_list = ET.SubElement(mac, "access-list") extended = ET.SubElement(access_list, "extended") name_key = ET.SubElement(extended, "name") name_key.text = kwargs.pop('name') hide_mac_acl_ext = ET.SubElement(extended, "hide-mac-acl-ext") seq = ET.SubElement(hide_mac_acl_ext, "seq") seq_id_key = ET.SubElement(seq, "seq-id") seq_id_key.text = kwargs.pop('seq_id') dst = ET.SubElement(seq, "dst") dst.text = kwargs.pop('dst') callback = kwargs.pop('callback', self._callback) return callback(config) def mac_access_list_extended_hide_mac_acl_ext_seq_dsthost(self, **kwargs): """Auto Generated Code """ config = ET.Element("config") mac = ET.SubElement(config, "mac", xmlns="urn:brocade.com:mgmt:brocade-mac-access-list") access_list = ET.SubElement(mac, "access-list") extended = ET.SubElement(access_list, "extended") name_key = ET.SubElement(extended, "name") name_key.text = kwargs.pop('name') hide_mac_acl_ext = ET.SubElement(extended, "hide-mac-acl-ext") seq = ET.SubElement(hide_mac_acl_ext, "seq") seq_id_key = ET.SubElement(seq, "seq-id") seq_id_key.text = kwargs.pop('seq_id') dsthost = ET.SubElement(seq, "dsthost") dsthost.text = kwargs.pop('dsthost') callback = kwargs.pop('callback', self._callback) return callback(config) def mac_access_list_extended_hide_mac_acl_ext_seq_dst_mac_addr_mask(self, **kwargs): """Auto Generated Code """ config = ET.Element("config") mac = ET.SubElement(config, "mac", xmlns="urn:brocade.com:mgmt:brocade-mac-access-list") access_list = ET.SubElement(mac, "access-list") extended = ET.SubElement(access_list, "extended") name_key = ET.SubElement(extended, "name") name_key.text = kwargs.pop('name') hide_mac_acl_ext = ET.SubElement(extended, "hide-mac-acl-ext") seq = ET.SubElement(hide_mac_acl_ext, "seq") seq_id_key = ET.SubElement(seq, "seq-id") seq_id_key.text = kwargs.pop('seq_id') dst_mac_addr_mask = ET.SubElement(seq, "dst-mac-addr-mask") dst_mac_addr_mask.text = kwargs.pop('dst_mac_addr_mask') callback = kwargs.pop('callback', self._callback) return callback(config) def mac_access_list_extended_hide_mac_acl_ext_seq_ethertype(self, **kwargs): """Auto Generated Code """ config = ET.Element("config") mac = ET.SubElement(config, "mac", xmlns="urn:brocade.com:mgmt:brocade-mac-access-list") access_list = ET.SubElement(mac, "access-list") extended = ET.SubElement(access_list, "extended") name_key = ET.SubElement(extended, "name") name_key.text = kwargs.pop('name') hide_mac_acl_ext = ET.SubElement(extended, "hide-mac-acl-ext") seq = ET.SubElement(hide_mac_acl_ext, "seq") seq_id_key = ET.SubElement(seq, "seq-id") seq_id_key.text = kwargs.pop('seq_id') ethertype = ET.SubElement(seq, "ethertype") ethertype.text = kwargs.pop('ethertype') callback = kwargs.pop('callback', self._callback) return callback(config) def mac_access_list_extended_hide_mac_acl_ext_seq_vlan(self, **kwargs): """Auto Generated Code """ config = ET.Element("config") mac = ET.SubElement(config, "mac", xmlns="urn:brocade.com:mgmt:brocade-mac-access-list") access_list = ET.SubElement(mac, "access-list") extended = ET.SubElement(access_list, "extended") name_key = ET.SubElement(extended, "name") name_key.text = kwargs.pop('name') hide_mac_acl_ext = ET.SubElement(extended, "hide-mac-acl-ext") seq = ET.SubElement(hide_mac_acl_ext, "seq") seq_id_key = ET.SubElement(seq, "seq-id") seq_id_key.text = kwargs.pop('seq_id') vlan = ET.SubElement(seq, "vlan") vlan.text = kwargs.pop('vlan') callback = kwargs.pop('callback', self._callback) return callback(config) def mac_access_list_extended_hide_mac_acl_ext_seq_count(self, **kwargs): """Auto Generated Code """ config = ET.Element("config") mac = ET.SubElement(config, "mac", xmlns="urn:brocade.com:mgmt:brocade-mac-access-list") access_list = ET.SubElement(mac, "access-list") extended = ET.SubElement(access_list, "extended") name_key = ET.SubElement(extended, "name") name_key.text = kwargs.pop('name') hide_mac_acl_ext = ET.SubElement(extended, "hide-mac-acl-ext") seq = ET.SubElement(hide_mac_acl_ext, "seq") seq_id_key = ET.SubElement(seq, "seq-id") seq_id_key.text = kwargs.pop('seq_id') count = ET.SubElement(seq, "count") callback = kwargs.pop('callback', self._callback) return callback(config) def mac_access_list_extended_hide_mac_acl_ext_seq_log(self, **kwargs): """Auto Generated Code """ config = ET.Element("config") mac = ET.SubElement(config, "mac", xmlns="urn:brocade.com:mgmt:brocade-mac-access-list") access_list = ET.SubElement(mac, "access-list") extended = ET.SubElement(access_list, "extended") name_key = ET.SubElement(extended, "name") name_key.text = kwargs.pop('name') hide_mac_acl_ext = ET.SubElement(extended, "hide-mac-acl-ext") seq = ET.SubElement(hide_mac_acl_ext, "seq") seq_id_key = ET.SubElement(seq, "seq-id") seq_id_key.text = kwargs.pop('seq_id') log = ET.SubElement(seq, "log") callback = kwargs.pop('callback', self._callback) return callback(config) def get_mac_acl_for_intf_input_interface_type(self, **kwargs): """Auto Generated Code """ config = ET.Element("config") get_mac_acl_for_intf = ET.Element("get_mac_acl_for_intf") config = get_mac_acl_for_intf input = ET.SubElement(get_mac_acl_for_intf, "input") interface_type = ET.SubElement(input, "interface-type") interface_type.text = kwargs.pop('interface_type') callback = kwargs.pop('callback', self._callback) return callback(config) def get_mac_acl_for_intf_input_interface_name(self, **kwargs): """Auto Generated Code """ config = ET.Element("config") get_mac_acl_for_intf = ET.Element("get_mac_acl_for_intf") config = get_mac_acl_for_intf input = ET.SubElement(get_mac_acl_for_intf, "input") interface_name = ET.SubElement(input, "interface-name") interface_name.text = kwargs.pop('interface_name') callback = kwargs.pop('callback', self._callback) return callback(config) def get_mac_acl_for_intf_input_direction(self, **kwargs): """Auto Generated Code """ config = ET.Element("config") get_mac_acl_for_intf = ET.Element("get_mac_acl_for_intf") config = get_mac_acl_for_intf input = ET.SubElement(get_mac_acl_for_intf, "input") direction = ET.SubElement(input, "direction") direction.text = kwargs.pop('direction') callback = kwargs.pop('callback', self._callback) return callback(config) def get_mac_acl_for_intf_output_interface_interface_type(self, **kwargs): """Auto Generated Code """ config = ET.Element("config") get_mac_acl_for_intf = ET.Element("get_mac_acl_for_intf") config = get_mac_acl_for_intf output = ET.SubElement(get_mac_acl_for_intf, "output") interface = ET.SubElement(output, "interface") interface_name_key = ET.SubElement(interface, "interface-name") interface_name_key.text = kwargs.pop('interface_name') interface_type = ET.SubElement(interface, "interface-type") interface_type.text = kwargs.pop('interface_type') callback = kwargs.pop('callback', self._callback) return callback(config) def get_mac_acl_for_intf_output_interface_interface_name(self, **kwargs): """Auto Generated Code """ config = ET.Element("config") get_mac_acl_for_intf = ET.Element("get_mac_acl_for_intf") config = get_mac_acl_for_intf output = ET.SubElement(get_mac_acl_for_intf, "output") interface = ET.SubElement(output, "interface") interface_type_key = ET.SubElement(interface, "interface-type") interface_type_key.text = kwargs.pop('interface_type') interface_name = ET.SubElement(interface, "interface-name") interface_name.text = kwargs.pop('interface_name') callback = kwargs.pop('callback', self._callback) return callback(config) def get_mac_acl_for_intf_output_interface_ingress_policy_policy_name(self, **kwargs): """Auto Generated Code """ config = ET.Element("config") get_mac_acl_for_intf = ET.Element("get_mac_acl_for_intf") config = get_mac_acl_for_intf output = ET.SubElement(get_mac_acl_for_intf, "output") interface = ET.SubElement(output, "interface") interface_type_key = ET.SubElement(interface, "interface-type") interface_type_key.text = kwargs.pop('interface_type') interface_name_key = ET.SubElement(interface, "interface-name") interface_name_key.text = kwargs.pop('interface_name') ingress_policy = ET.SubElement(interface, "ingress-policy") policy_name = ET.SubElement(ingress_policy, "policy-name") policy_name.text = kwargs.pop('policy_name') callback = kwargs.pop('callback', self._callback) return callback(config) def get_mac_acl_for_intf_output_interface_egress_policy_policy_name(self, **kwargs): """Auto Generated Code """ config = ET.Element("config") get_mac_acl_for_intf = ET.Element("get_mac_acl_for_intf") config = get_mac_acl_for_intf output = ET.SubElement(get_mac_acl_for_intf, "output") interface = ET.SubElement(output, "interface") interface_type_key = ET.SubElement(interface, "interface-type") interface_type_key.text = kwargs.pop('interface_type') interface_name_key = ET.SubElement(interface, "interface-name") interface_name_key.text = kwargs.pop('interface_name') egress_policy = ET.SubElement(interface, "egress-policy") policy_name = ET.SubElement(egress_policy, "policy-name") policy_name.text = kwargs.pop('policy_name') callback = kwargs.pop('callback', self._callback) return callback(config) def mac_access_list_standard_name(self, **kwargs): """Auto Generated Code """ config = ET.Element("config") mac = ET.SubElement(config, "mac", xmlns="urn:brocade.com:mgmt:brocade-mac-access-list") access_list = ET.SubElement(mac, "access-list") standard = ET.SubElement(access_list, "standard") name = ET.SubElement(standard, "name") name.text = kwargs.pop('name') callback = kwargs.pop('callback', self._callback) return callback(config) def mac_access_list_standard_hide_mac_acl_std_seq_seq_id(self, **kwargs): """Auto Generated Code """ config = ET.Element("config") mac = ET.SubElement(config, "mac", xmlns="urn:brocade.com:mgmt:brocade-mac-access-list") access_list = ET.SubElement(mac, "access-list") standard = ET.SubElement(access_list, "standard") name_key = ET.SubElement(standard, "name") name_key.text = kwargs.pop('name') hide_mac_acl_std = ET.SubElement(standard, "hide-mac-acl-std") seq = ET.SubElement(hide_mac_acl_std, "seq") seq_id = ET.SubElement(seq, "seq-id") seq_id.text = kwargs.pop('seq_id') callback = kwargs.pop('callback', self._callback) return callback(config) def mac_access_list_standard_hide_mac_acl_std_seq_action(self, **kwargs): """Auto Generated Code """ config = ET.Element("config") mac = ET.SubElement(config, "mac", xmlns="urn:brocade.com:mgmt:brocade-mac-access-list") access_list = ET.SubElement(mac, "access-list") standard = ET.SubElement(access_list, "standard") name_key = ET.SubElement(standard, "name") name_key.text = kwargs.pop('name') hide_mac_acl_std = ET.SubElement(standard, "hide-mac-acl-std") seq = ET.SubElement(hide_mac_acl_std, "seq") seq_id_key = ET.SubElement(seq, "seq-id") seq_id_key.text = kwargs.pop('seq_id') action = ET.SubElement(seq, "action") action.text = kwargs.pop('action') callback = kwargs.pop('callback', self._callback) return callback(config) def mac_access_list_standard_hide_mac_acl_std_seq_source(self, **kwargs): """Auto Generated Code """ config = ET.Element("config") mac = ET.SubElement(config, "mac", xmlns="urn:brocade.com:mgmt:brocade-mac-access-list") access_list = ET.SubElement(mac, "access-list") standard = ET.SubElement(access_list, "standard") name_key = ET.SubElement(standard, "name") name_key.text = kwargs.pop('name') hide_mac_acl_std = ET.SubElement(standard, "hide-mac-acl-std") seq = ET.SubElement(hide_mac_acl_std, "seq") seq_id_key = ET.SubElement(seq, "seq-id") seq_id_key.text = kwargs.pop('seq_id') source = ET.SubElement(seq, "source") source.text = kwargs.pop('source') callback = kwargs.pop('callback', self._callback) return callback(config) def mac_access_list_standard_hide_mac_acl_std_seq_srchost(self, **kwargs): """Auto Generated Code """ config = ET.Element("config") mac = ET.SubElement(config, "mac", xmlns="urn:brocade.com:mgmt:brocade-mac-access-list") access_list = ET.SubElement(mac, "access-list") standard = ET.SubElement(access_list, "standard") name_key = ET.SubElement(standard, "name") name_key.text = kwargs.pop('name') hide_mac_acl_std = ET.SubElement(standard, "hide-mac-acl-std") seq = ET.SubElement(hide_mac_acl_std, "seq") seq_id_key = ET.SubElement(seq, "seq-id") seq_id_key.text = kwargs.pop('seq_id') srchost = ET.SubElement(seq, "srchost") srchost.text = kwargs.pop('srchost') callback = kwargs.pop('callback', self._callback) return callback(config) def mac_access_list_standard_hide_mac_acl_std_seq_src_mac_addr_mask(self, **kwargs): """Auto Generated Code """ config = ET.Element("config") mac = ET.SubElement(config, "mac", xmlns="urn:brocade.com:mgmt:brocade-mac-access-list") access_list = ET.SubElement(mac, "access-list") standard = ET.SubElement(access_list, "standard") name_key = ET.SubElement(standard, "name") name_key.text = kwargs.pop('name') hide_mac_acl_std = ET.SubElement(standard, "hide-mac-acl-std") seq = ET.SubElement(hide_mac_acl_std, "seq") seq_id_key = ET.SubElement(seq, "seq-id") seq_id_key.text = kwargs.pop('seq_id') src_mac_addr_mask = ET.SubElement(seq, "src-mac-addr-mask") src_mac_addr_mask.text = kwargs.pop('src_mac_addr_mask') callback = kwargs.pop('callback', self._callback) return callback(config) def mac_access_list_standard_hide_mac_acl_std_seq_count(self, **kwargs): """Auto Generated Code """ config = ET.Element("config") mac = ET.SubElement(config, "mac", xmlns="urn:brocade.com:mgmt:brocade-mac-access-list") access_list = ET.SubElement(mac, "access-list") standard = ET.SubElement(access_list, "standard") name_key = ET.SubElement(standard, "name") name_key.text = kwargs.pop('name') hide_mac_acl_std = ET.SubElement(standard, "hide-mac-acl-std") seq = ET.SubElement(hide_mac_acl_std, "seq") seq_id_key = ET.SubElement(seq, "seq-id") seq_id_key.text = kwargs.pop('seq_id') count = ET.SubElement(seq, "count") callback = kwargs.pop('callback', self._callback) return callback(config) def mac_access_list_standard_hide_mac_acl_std_seq_log(self, **kwargs): """Auto Generated Code """ config = ET.Element("config") mac = ET.SubElement(config, "mac", xmlns="urn:brocade.com:mgmt:brocade-mac-access-list") access_list = ET.SubElement(mac, "access-list") standard = ET.SubElement(access_list, "standard") name_key = ET.SubElement(standard, "name") name_key.text = kwargs.pop('name') hide_mac_acl_std = ET.SubElement(standard, "hide-mac-acl-std") seq = ET.SubElement(hide_mac_acl_std, "seq") seq_id_key = ET.SubElement(seq, "seq-id") seq_id_key.text = kwargs.pop('seq_id') log = ET.SubElement(seq, "log") callback = kwargs.pop('callback', self._callback) return callback(config) def mac_access_list_extended_name(self, **kwargs): """Auto Generated Code """ config = ET.Element("config") mac = ET.SubElement(config, "mac", xmlns="urn:brocade.com:mgmt:brocade-mac-access-list") access_list = ET.SubElement(mac, "access-list") extended = ET.SubElement(access_list, "extended") name = ET.SubElement(extended, "name") name.text = kwargs.pop('name') callback = kwargs.pop('callback', self._callback) return callback(config) def mac_access_list_extended_hide_mac_acl_ext_seq_seq_id(self, **kwargs): """Auto Generated Code """ config = ET.Element("config") mac = ET.SubElement(config, "mac", xmlns="urn:brocade.com:mgmt:brocade-mac-access-list") access_list = ET.SubElement(mac, "access-list") extended = ET.SubElement(access_list, "extended") name_key = ET.SubElement(extended, "name") name_key.text = kwargs.pop('name') hide_mac_acl_ext = ET.SubElement(extended, "hide-mac-acl-ext") seq = ET.SubElement(hide_mac_acl_ext, "seq") seq_id = ET.SubElement(seq, "seq-id") seq_id.text = kwargs.pop('seq_id') callback = kwargs.pop('callback', self._callback) return callback(config) def mac_access_list_extended_hide_mac_acl_ext_seq_action(self, **kwargs): """Auto Generated Code """ config = ET.Element("config") mac = ET.SubElement(config, "mac", xmlns="urn:brocade.com:mgmt:brocade-mac-access-list") access_list = ET.SubElement(mac, "access-list") extended = ET.SubElement(access_list, "extended") name_key = ET.SubElement(extended, "name") name_key.text = kwargs.pop('name') hide_mac_acl_ext = ET.SubElement(extended, "hide-mac-acl-ext") seq = ET.SubElement(hide_mac_acl_ext, "seq") seq_id_key = ET.SubElement(seq, "seq-id") seq_id_key.text = kwargs.pop('seq_id') action = ET.SubElement(seq, "action") action.text = kwargs.pop('action') callback = kwargs.pop('callback', self._callback) return callback(config) def mac_access_list_extended_hide_mac_acl_ext_seq_source(self, **kwargs): """Auto Generated Code """ config = ET.Element("config") mac = ET.SubElement(config, "mac", xmlns="urn:brocade.com:mgmt:brocade-mac-access-list") access_list = ET.SubElement(mac, "access-list") extended = ET.SubElement(access_list, "extended") name_key = ET.SubElement(extended, "name") name_key.text = kwargs.pop('name') hide_mac_acl_ext = ET.SubElement(extended, "hide-mac-acl-ext") seq = ET.SubElement(hide_mac_acl_ext, "seq") seq_id_key = ET.SubElement(seq, "seq-id") seq_id_key.text = kwargs.pop('seq_id') source = ET.SubElement(seq, "source") source.text = kwargs.pop('source') callback = kwargs.pop('callback', self._callback) return callback(config) def mac_access_list_extended_hide_mac_acl_ext_seq_srchost(self, **kwargs): """Auto Generated Code """ config = ET.Element("config") mac = ET.SubElement(config, "mac", xmlns="urn:brocade.com:mgmt:brocade-mac-access-list") access_list = ET.SubElement(mac, "access-list") extended = ET.SubElement(access_list, "extended") name_key = ET.SubElement(extended, "name") name_key.text = kwargs.pop('name') hide_mac_acl_ext = ET.SubElement(extended, "hide-mac-acl-ext") seq = ET.SubElement(hide_mac_acl_ext, "seq") seq_id_key = ET.SubElement(seq, "seq-id") seq_id_key.text = kwargs.pop('seq_id') srchost = ET.SubElement(seq, "srchost") srchost.text = kwargs.pop('srchost') callback = kwargs.pop('callback', self._callback) return callback(config) def mac_access_list_extended_hide_mac_acl_ext_seq_src_mac_addr_mask(self, **kwargs): """Auto Generated Code """ config = ET.Element("config") mac = ET.SubElement(config, "mac", xmlns="urn:brocade.com:mgmt:brocade-mac-access-list") access_list = ET.SubElement(mac, "access-list") extended = ET.SubElement(access_list, "extended") name_key = ET.SubElement(extended, "name") name_key.text = kwargs.pop('name') hide_mac_acl_ext = ET.SubElement(extended, "hide-mac-acl-ext") seq = ET.SubElement(hide_mac_acl_ext, "seq") seq_id_key = ET.SubElement(seq, "seq-id") seq_id_key.text = kwargs.pop('seq_id') src_mac_addr_mask = ET.SubElement(seq, "src-mac-addr-mask") src_mac_addr_mask.text = kwargs.pop('src_mac_addr_mask') callback = kwargs.pop('callback', self._callback) return callback(config) def mac_access_list_extended_hide_mac_acl_ext_seq_dst(self, **kwargs): """Auto Generated Code """ config = ET.Element("config") mac = ET.SubElement(config, "mac", xmlns="urn:brocade.com:mgmt:brocade-mac-access-list") access_list = ET.SubElement(mac, "access-list") extended = ET.SubElement(access_list, "extended") name_key = ET.SubElement(extended, "name") name_key.text = kwargs.pop('name') hide_mac_acl_ext = ET.SubElement(extended, "hide-mac-acl-ext") seq = ET.SubElement(hide_mac_acl_ext, "seq") seq_id_key = ET.SubElement(seq, "seq-id") seq_id_key.text = kwargs.pop('seq_id') dst = ET.SubElement(seq, "dst") dst.text = kwargs.pop('dst') callback = kwargs.pop('callback', self._callback) return callback(config) def mac_access_list_extended_hide_mac_acl_ext_seq_dsthost(self, **kwargs): """Auto Generated Code """ config = ET.Element("config") mac = ET.SubElement(config, "mac", xmlns="urn:brocade.com:mgmt:brocade-mac-access-list") access_list = ET.SubElement(mac, "access-list") extended = ET.SubElement(access_list, "extended") name_key = ET.SubElement(extended, "name") name_key.text = kwargs.pop('name') hide_mac_acl_ext = ET.SubElement(extended, "hide-mac-acl-ext") seq = ET.SubElement(hide_mac_acl_ext, "seq") seq_id_key = ET.SubElement(seq, "seq-id") seq_id_key.text = kwargs.pop('seq_id') dsthost = ET.SubElement(seq, "dsthost") dsthost.text = kwargs.pop('dsthost') callback = kwargs.pop('callback', self._callback) return callback(config) def mac_access_list_extended_hide_mac_acl_ext_seq_dst_mac_addr_mask(self, **kwargs): """Auto Generated Code """ config = ET.Element("config") mac = ET.SubElement(config, "mac", xmlns="urn:brocade.com:mgmt:brocade-mac-access-list") access_list = ET.SubElement(mac, "access-list") extended = ET.SubElement(access_list, "extended") name_key = ET.SubElement(extended, "name") name_key.text = kwargs.pop('name') hide_mac_acl_ext = ET.SubElement(extended, "hide-mac-acl-ext") seq = ET.SubElement(hide_mac_acl_ext, "seq") seq_id_key = ET.SubElement(seq, "seq-id") seq_id_key.text = kwargs.pop('seq_id') dst_mac_addr_mask = ET.SubElement(seq, "dst-mac-addr-mask") dst_mac_addr_mask.text = kwargs.pop('dst_mac_addr_mask') callback = kwargs.pop('callback', self._callback) return callback(config) def mac_access_list_extended_hide_mac_acl_ext_seq_ethertype(self, **kwargs): """Auto Generated Code """ config = ET.Element("config") mac = ET.SubElement(config, "mac", xmlns="urn:brocade.com:mgmt:brocade-mac-access-list") access_list = ET.SubElement(mac, "access-list") extended = ET.SubElement(access_list, "extended") name_key = ET.SubElement(extended, "name") name_key.text = kwargs.pop('name') hide_mac_acl_ext = ET.SubElement(extended, "hide-mac-acl-ext") seq = ET.SubElement(hide_mac_acl_ext, "seq") seq_id_key = ET.SubElement(seq, "seq-id") seq_id_key.text = kwargs.pop('seq_id') ethertype = ET.SubElement(seq, "ethertype") ethertype.text = kwargs.pop('ethertype') callback = kwargs.pop('callback', self._callback) return callback(config) def mac_access_list_extended_hide_mac_acl_ext_seq_vlan(self, **kwargs): """Auto Generated Code """ config = ET.Element("config") mac = ET.SubElement(config, "mac", xmlns="urn:brocade.com:mgmt:brocade-mac-access-list") access_list = ET.SubElement(mac, "access-list") extended = ET.SubElement(access_list, "extended") name_key = ET.SubElement(extended, "name") name_key.text = kwargs.pop('name') hide_mac_acl_ext = ET.SubElement(extended, "hide-mac-acl-ext") seq = ET.SubElement(hide_mac_acl_ext, "seq") seq_id_key = ET.SubElement(seq, "seq-id") seq_id_key.text = kwargs.pop('seq_id') vlan = ET.SubElement(seq, "vlan") vlan.text = kwargs.pop('vlan') callback = kwargs.pop('callback', self._callback) return callback(config) def mac_access_list_extended_hide_mac_acl_ext_seq_count(self, **kwargs): """Auto Generated Code """ config = ET.Element("config") mac = ET.SubElement(config, "mac", xmlns="urn:brocade.com:mgmt:brocade-mac-access-list") access_list = ET.SubElement(mac, "access-list") extended = ET.SubElement(access_list, "extended") name_key = ET.SubElement(extended, "name") name_key.text = kwargs.pop('name') hide_mac_acl_ext = ET.SubElement(extended, "hide-mac-acl-ext") seq = ET.SubElement(hide_mac_acl_ext, "seq") seq_id_key = ET.SubElement(seq, "seq-id") seq_id_key.text = kwargs.pop('seq_id') count = ET.SubElement(seq, "count") callback = kwargs.pop('callback', self._callback) return callback(config) def mac_access_list_extended_hide_mac_acl_ext_seq_log(self, **kwargs): """Auto Generated Code """ config = ET.Element("config") mac = ET.SubElement(config, "mac", xmlns="urn:brocade.com:mgmt:brocade-mac-access-list") access_list = ET.SubElement(mac, "access-list") extended = ET.SubElement(access_list, "extended") name_key = ET.SubElement(extended, "name") name_key.text = kwargs.pop('name') hide_mac_acl_ext = ET.SubElement(extended, "hide-mac-acl-ext") seq = ET.SubElement(hide_mac_acl_ext, "seq") seq_id_key = ET.SubElement(seq, "seq-id") seq_id_key.text = kwargs.pop('seq_id') log = ET.SubElement(seq, "log") callback = kwargs.pop('callback', self._callback) return callback(config) def get_mac_acl_for_intf_input_interface_type(self, **kwargs): """Auto Generated Code """ config = ET.Element("config") get_mac_acl_for_intf = ET.Element("get_mac_acl_for_intf") config = get_mac_acl_for_intf input = ET.SubElement(get_mac_acl_for_intf, "input") interface_type = ET.SubElement(input, "interface-type") interface_type.text = kwargs.pop('interface_type') callback = kwargs.pop('callback', self._callback) return callback(config) def get_mac_acl_for_intf_input_interface_name(self, **kwargs): """Auto Generated Code """ config = ET.Element("config") get_mac_acl_for_intf = ET.Element("get_mac_acl_for_intf") config = get_mac_acl_for_intf input = ET.SubElement(get_mac_acl_for_intf, "input") interface_name = ET.SubElement(input, "interface-name") interface_name.text = kwargs.pop('interface_name') callback = kwargs.pop('callback', self._callback) return callback(config) def get_mac_acl_for_intf_input_direction(self, **kwargs): """Auto Generated Code """ config = ET.Element("config") get_mac_acl_for_intf = ET.Element("get_mac_acl_for_intf") config = get_mac_acl_for_intf input = ET.SubElement(get_mac_acl_for_intf, "input") direction = ET.SubElement(input, "direction") direction.text = kwargs.pop('direction') callback = kwargs.pop('callback', self._callback) return callback(config) def get_mac_acl_for_intf_output_interface_interface_type(self, **kwargs): """Auto Generated Code """ config = ET.Element("config") get_mac_acl_for_intf = ET.Element("get_mac_acl_for_intf") config = get_mac_acl_for_intf output = ET.SubElement(get_mac_acl_for_intf, "output") interface = ET.SubElement(output, "interface") interface_name_key = ET.SubElement(interface, "interface-name") interface_name_key.text = kwargs.pop('interface_name') interface_type = ET.SubElement(interface, "interface-type") interface_type.text = kwargs.pop('interface_type') callback = kwargs.pop('callback', self._callback) return callback(config) def get_mac_acl_for_intf_output_interface_interface_name(self, **kwargs): """Auto Generated Code """ config = ET.Element("config") get_mac_acl_for_intf = ET.Element("get_mac_acl_for_intf") config = get_mac_acl_for_intf output = ET.SubElement(get_mac_acl_for_intf, "output") interface = ET.SubElement(output, "interface") interface_type_key = ET.SubElement(interface, "interface-type") interface_type_key.text = kwargs.pop('interface_type') interface_name = ET.SubElement(interface, "interface-name") interface_name.text = kwargs.pop('interface_name') callback = kwargs.pop('callback', self._callback) return callback(config) def get_mac_acl_for_intf_output_interface_ingress_policy_policy_name(self, **kwargs): """Auto Generated Code """ config = ET.Element("config") get_mac_acl_for_intf = ET.Element("get_mac_acl_for_intf") config = get_mac_acl_for_intf output = ET.SubElement(get_mac_acl_for_intf, "output") interface = ET.SubElement(output, "interface") interface_type_key = ET.SubElement(interface, "interface-type") interface_type_key.text = kwargs.pop('interface_type') interface_name_key = ET.SubElement(interface, "interface-name") interface_name_key.text = kwargs.pop('interface_name') ingress_policy = ET.SubElement(interface, "ingress-policy") policy_name = ET.SubElement(ingress_policy, "policy-name") policy_name.text = kwargs.pop('policy_name') callback = kwargs.pop('callback', self._callback) return callback(config) def get_mac_acl_for_intf_output_interface_egress_policy_policy_name(self, **kwargs): """Auto Generated Code """ config = ET.Element("config") get_mac_acl_for_intf = ET.Element("get_mac_acl_for_intf") config = get_mac_acl_for_intf output = ET.SubElement(get_mac_acl_for_intf, "output") interface = ET.SubElement(output, "interface") interface_type_key = ET.SubElement(interface, "interface-type") interface_type_key.text = kwargs.pop('interface_type') interface_name_key = ET.SubElement(interface, "interface-name") interface_name_key.text = kwargs.pop('interface_name') egress_policy = ET.SubElement(interface, "egress-policy") policy_name = ET.SubElement(egress_policy, "policy-name") policy_name.text = kwargs.pop('policy_name') callback = kwargs.pop('callback', self._callback) return callback(config)

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ab8cca01961a1dd44b97603da1297761116ba77f

19,216

py

Python

lockss_metadata_extractor/api/mdupdates_api.py

lockss/lockss-metadata-extractor-python

ac23fc499bc3d392a3564815360d52acae7fc383

[ "BSD-3-Clause" ]

null

lockss_metadata_extractor/api/mdupdates_api.py

lockss/lockss-metadata-extractor-python

ac23fc499bc3d392a3564815360d52acae7fc383

[ "BSD-3-Clause" ]

null

lockss_metadata_extractor/api/mdupdates_api.py

lockss/lockss-metadata-extractor-python

ac23fc499bc3d392a3564815360d52acae7fc383

[ "BSD-3-Clause" ]

null

# coding: utf-8 """ LOCKSS Metadata Extraction Service REST API API of the LOCKSS Metadata Extraction REST Service # noqa: E501 OpenAPI spec version: 1.0.0 Contact: lockss-support@lockss.org 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_metadata_extractor.api_client import ApiClient class MdupdatesApi(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 delete_mdupdates(self, **kwargs): # noqa: E501 """Delete all of the currently queued and active jobs # noqa: E501 Delete all of the currently queued and active jobs # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async=True >>> thread = api.delete_mdupdates(async=True) >>> result = thread.get() :param async bool :return: int If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async'): return self.delete_mdupdates_with_http_info(**kwargs) # noqa: E501 else: (data) = self.delete_mdupdates_with_http_info(**kwargs) # noqa: E501 return data def delete_mdupdates_with_http_info(self, **kwargs): # noqa: E501 """Delete all of the currently queued and active jobs # noqa: E501 Delete all of the currently queued and active jobs # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async=True >>> thread = api.delete_mdupdates_with_http_info(async=True) >>> result = thread.get() :param async bool :return: int 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 delete_mdupdates" % 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 = ['basicAuth'] # noqa: E501 return self.api_client.call_api( '/mdupdates', 'DELETE', 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 delete_mdupdates_jobid(self, jobid, **kwargs): # noqa: E501 """Delete a job # noqa: E501 Delete a job given the job identifier, stopping any current processing, if necessary # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async=True >>> thread = api.delete_mdupdates_jobid(jobid, async=True) >>> result = thread.get() :param async bool :param str jobid: The identifier of the job to be deleted (required) :return: Job If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async'): return self.delete_mdupdates_jobid_with_http_info(jobid, **kwargs) # noqa: E501 else: (data) = self.delete_mdupdates_jobid_with_http_info(jobid, **kwargs) # noqa: E501 return data def delete_mdupdates_jobid_with_http_info(self, jobid, **kwargs): # noqa: E501 """Delete a job # noqa: E501 Delete a job given the job identifier, stopping any current processing, if necessary # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async=True >>> thread = api.delete_mdupdates_jobid_with_http_info(jobid, async=True) >>> result = thread.get() :param async bool :param str jobid: The identifier of the job to be deleted (required) :return: Job If the method is called asynchronously, returns the request thread. """ all_params = ['jobid'] # noqa: E501 all_params.append('async') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method delete_mdupdates_jobid" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'jobid' is set if ('jobid' not in params or params['jobid'] is None): raise ValueError("Missing the required parameter `jobid` when calling `delete_mdupdates_jobid`") # noqa: E501 collection_formats = {} path_params = {} if 'jobid' in params: path_params['jobid'] = params['jobid'] # 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 = ['basicAuth'] # noqa: E501 return self.api_client.call_api( '/mdupdates/{jobid}', 'DELETE', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='Job', # noqa: E501 auth_settings=auth_settings, async=params.get('async'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def get_mdupdates(self, **kwargs): # noqa: E501 """Get a list of currently active jobs # noqa: E501 Get a list of all currently active jobs or a pageful of the list defined by the continuation token and size # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async=True >>> thread = api.get_mdupdates(async=True) >>> result = thread.get() :param async bool :param int limit: The number of jobs per page :param str continuation_token: The continuation token of the next page of jobs to be returned :return: JobPageInfo If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async'): return self.get_mdupdates_with_http_info(**kwargs) # noqa: E501 else: (data) = self.get_mdupdates_with_http_info(**kwargs) # noqa: E501 return data def get_mdupdates_with_http_info(self, **kwargs): # noqa: E501 """Get a list of currently active jobs # noqa: E501 Get a list of all currently active jobs or a pageful of the list defined by the continuation token and size # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async=True >>> thread = api.get_mdupdates_with_http_info(async=True) >>> result = thread.get() :param async bool :param int limit: The number of jobs per page :param str continuation_token: The continuation token of the next page of jobs to be returned :return: JobPageInfo If the method is called asynchronously, returns the request thread. """ all_params = ['limit', 'continuation_token'] # noqa: E501 all_params.append('async') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method get_mdupdates" % key ) params[key] = val del params['kwargs'] collection_formats = {} path_params = {} query_params = [] if 'limit' in params: query_params.append(('limit', params['limit'])) # noqa: E501 if 'continuation_token' in params: query_params.append(('continuationToken', params['continuation_token'])) # 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 = ['basicAuth'] # noqa: E501 return self.api_client.call_api( '/mdupdates', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='JobPageInfo', # noqa: E501 auth_settings=auth_settings, async=params.get('async'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def get_mdupdates_jobid(self, jobid, **kwargs): # noqa: E501 """Get a job # noqa: E501 Get a job given the job identifier # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async=True >>> thread = api.get_mdupdates_jobid(jobid, async=True) >>> result = thread.get() :param async bool :param str jobid: The identifier of the requested job (required) :return: Status If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async'): return self.get_mdupdates_jobid_with_http_info(jobid, **kwargs) # noqa: E501 else: (data) = self.get_mdupdates_jobid_with_http_info(jobid, **kwargs) # noqa: E501 return data def get_mdupdates_jobid_with_http_info(self, jobid, **kwargs): # noqa: E501 """Get a job # noqa: E501 Get a job given the job identifier # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async=True >>> thread = api.get_mdupdates_jobid_with_http_info(jobid, async=True) >>> result = thread.get() :param async bool :param str jobid: The identifier of the requested job (required) :return: Status If the method is called asynchronously, returns the request thread. """ all_params = ['jobid'] # noqa: E501 all_params.append('async') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method get_mdupdates_jobid" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'jobid' is set if ('jobid' not in params or params['jobid'] is None): raise ValueError("Missing the required parameter `jobid` when calling `get_mdupdates_jobid`") # noqa: E501 collection_formats = {} path_params = {} if 'jobid' in params: path_params['jobid'] = params['jobid'] # 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 = ['basicAuth'] # noqa: E501 return self.api_client.call_api( '/mdupdates/{jobid}', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='Status', # 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 post_mdupdates(self, metadata_update_spec, **kwargs): # noqa: E501 """Perform an AU metadata update operation # noqa: E501 Perform an AU metadata update operation given the update specification # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async=True >>> thread = api.post_mdupdates(metadata_update_spec, async=True) >>> result = thread.get() :param async bool :param MetadataUpdateSpec metadata_update_spec: The information defining the AU metadata update operation (required) :return: Job If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async'): return self.post_mdupdates_with_http_info(metadata_update_spec, **kwargs) # noqa: E501 else: (data) = self.post_mdupdates_with_http_info(metadata_update_spec, **kwargs) # noqa: E501 return data def post_mdupdates_with_http_info(self, metadata_update_spec, **kwargs): # noqa: E501 """Perform an AU metadata update operation # noqa: E501 Perform an AU metadata update operation given the update specification # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async=True >>> thread = api.post_mdupdates_with_http_info(metadata_update_spec, async=True) >>> result = thread.get() :param async bool :param MetadataUpdateSpec metadata_update_spec: The information defining the AU metadata update operation (required) :return: Job If the method is called asynchronously, returns the request thread. """ all_params = ['metadata_update_spec'] # 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 post_mdupdates" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'metadata_update_spec' is set if ('metadata_update_spec' not in params or params['metadata_update_spec'] is None): raise ValueError("Missing the required parameter `metadata_update_spec` when calling `post_mdupdates`") # noqa: E501 collection_formats = {} path_params = {} query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None if 'metadata_update_spec' in params: body_params = params['metadata_update_spec'] # 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 = ['basicAuth'] # noqa: E501 return self.api_client.call_api( '/mdupdates', 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='Job', # 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)

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abb2d74ce3b1d38add2995da9689dccd67a9d27d

4,473

py

Python

website/server/config/generators/word_embeddings.py

mderijk/codenames

7133a8e85243550dddf4a64e90c9550f3b9e2cb4

[ "MIT" ]

2

2021-06-10T20:53:06.000Z

2021-06-11T10:45:16.000Z

website/server/config/generators/word_embeddings.py

mderijk/codenames

7133a8e85243550dddf4a64e90c9550f3b9e2cb4

[ "MIT" ]

null

website/server/config/generators/word_embeddings.py

mderijk/codenames

7133a8e85243550dddf4a64e90c9550f3b9e2cb4

[ "MIT" ]

1

2021-07-26T07:05:38.000Z

word2vec_embeddings_model_cz = 'data/wiki.cs/wiki-czeng-filtered-top-10000.cs.vec' word2vec_embeddings_model_en = 'data/wiki.en/wiki-czeng-filtered-top-10000.en.vec' GENERATORS = { # sixth test run 'word2vec_weighted_top_1_cz_v1.1': { 'class': 'word2vec.WeightedWord2vecHintGenerator', 'model': word2vec_embeddings_model_cz, 'include_number': True, 'max_hint_number': 1, 'weighting_method': 'weighting.top_1', 'weights': (1, 1.2, 1, 2), }, 'word2vec_weighted_top_2_cz_v1.1': { 'class': 'word2vec.WeightedWord2vecHintGenerator', 'model': word2vec_embeddings_model_cz, 'include_number': True, 'max_hint_number': 2, 'weighting_method': 'weighting.top_2', 'weights': (1, 1.2, 1, 2), }, 'word2vec_weighted_top_3_cz_v1.1': { 'class': 'word2vec.WeightedWord2vecHintGenerator', 'model': word2vec_embeddings_model_cz, 'include_number': True, 'max_hint_number': 3, 'weighting_method': 'weighting.top_3', 'weights': (1, 1.2, 1, 2), }, 'word2vec_weighted_top_combined_cz_v1.1': { 'class': 'word2vec.ThresholdWeightedWord2vecHintGenerator', 'model': word2vec_embeddings_model_cz, 'weighting_methods': ( ('weighting.top_3', 3, 0.28209114), ('weighting.top_2', 2, 0.38748214), ('weighting.top_1', 1, None), # default to this method if none of the thresholds are met ), 'weights': (1, 1.2, 1, 2), }, # fourth test run 'word2vec_weighted_top_combined_cz_v1.0': { 'class': 'word2vec.ThresholdWeightedWord2vecHintGenerator', 'model': word2vec_embeddings_model_cz, 'weighting_methods': ( ('weighting.top_3', 3, 0.28209114), ('weighting.top_2', 2, 0.38748214), ('weighting.top_1', 1, None), # default to this method if none of the thresholds are met ), 'weights': (1, 1.2, 1, 2), }, 'word2vec_weighted_top_combined_en_v1.0': { 'class': 'word2vec.ThresholdWeightedWord2vecHintGenerator', 'model': word2vec_embeddings_model_en, 'weighting_methods': ( ('weighting.top_3', 3, 0.34984735), ('weighting.top_2', 2, 0.37125748), ('weighting.top_1', 1, None), # default to this method if none of the thresholds are met ), 'weights': (1, 1.2, 1, 2), }, # third test run 'word2vec_weighted_top_1_cz_v1.0': { 'class': 'word2vec.WeightedWord2vecHintGenerator', 'model': word2vec_embeddings_model_cz, 'include_number': False, 'max_hint_number': 1, 'weighting_method': 'weighting.top_1', 'weights': (1, 1.2, 1, 2), }, 'word2vec_weighted_top_2_cz_v1.0': { 'class': 'word2vec.WeightedWord2vecHintGenerator', 'model': word2vec_embeddings_model_cz, 'include_number': False, 'max_hint_number': 2, 'weighting_method': 'weighting.top_2', 'weights': (1, 1.2, 1, 2), }, 'word2vec_weighted_top_3_cz_v1.0': { 'class': 'word2vec.WeightedWord2vecHintGenerator', 'model': word2vec_embeddings_model_cz, 'include_number': False, 'max_hint_number': 3, 'weighting_method': 'weighting.top_3', 'weights': (1, 1.2, 1, 2), }, 'word2vec_weighted_top_1_en_v1.0': { 'class': 'word2vec.WeightedWord2vecHintGenerator', 'model': word2vec_embeddings_model_en, 'include_number': True, 'max_hint_number': 1, 'weighting_method': 'weighting.top_1', 'weights': (1, 1.2, 1, 2), }, 'word2vec_weighted_top_2_en_v1.0': { 'class': 'word2vec.WeightedWord2vecHintGenerator', 'model': word2vec_embeddings_model_en, 'include_number': True, 'max_hint_number': 2, 'weighting_method': 'weighting.top_2', 'weights': (1, 1.2, 1, 2), }, 'word2vec_weighted_top_3_en_v1.0': { 'class': 'word2vec.WeightedWord2vecHintGenerator', 'model': word2vec_embeddings_model_en, 'include_number': True, 'max_hint_number': 3, 'weighting_method': 'weighting.top_3', 'weights': (1, 1.2, 1, 2), }, # first test run 'word2vec_simple_cz_v1.0': { 'class': 'word2vec.Word2vecHintGenerator', 'model': word2vec_embeddings_model_cz, }, 'word2vec_weighted_combined_max_score_cz_v1.0': { 'class': 'word2vec.WeightedWord2vecHintGenerator', 'model': word2vec_embeddings_model_cz, 'include_number': False, 'weighting_method': 'weighting.combined_max_score', 'weights': (1, 1.2, 1, 2), }, 'word2vec_simple_en_v1.0': { 'class': 'word2vec.Word2vecHintGenerator', 'model': word2vec_embeddings_model_en, }, 'word2vec_weighted_combined_max_score_en_v1.0': { 'class': 'word2vec.WeightedWord2vecHintGenerator', 'model': word2vec_embeddings_model_en, 'include_number': False, 'weighting_method': 'weighting.combined_max_score', 'weights': (1, 1.2, 1, 2), }, }

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null

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7

0505ff59d28dc7bc86f1e2b301b3ad717f21ac50

15,121

py

Python

snippets/3DEM/useful_bits/scratch_mergeblocks.py

michielkleinnijenhuis/EM

f46a9b11298919b359e80d9f23a7e824df1356cb

[ "Apache-2.0" ]

null

snippets/3DEM/useful_bits/scratch_mergeblocks.py

michielkleinnijenhuis/EM

f46a9b11298919b359e80d9f23a7e824df1356cb

[ "Apache-2.0" ]

null

snippets/3DEM/useful_bits/scratch_mergeblocks.py

michielkleinnijenhuis/EM

f46a9b11298919b359e80d9f23a7e824df1356cb

[ "Apache-2.0" ]

null

scriptdir="$HOME/workspace/EM" DATA="$HOME/oxdata" datadir="$DATA/P01/EM/M3/M3_S1_GNU" dataset='m000' pf= pf='_probs_ws_MA' python $scriptdir/convert/EM_mergeblocks.py \ -i "$datadir/${dataset}_01000-02000_01000-02000_00030-00460${pf}.h5" \ "$datadir/${dataset}_01000-02000_02000-03000_00030-00460${pf}.h5" \ -o "$datadir/${dataset}_01000-02000_01000-03000_00030-00460${pf}.h5" \ -f 'stack' -l 'zyx' -b 1000 1000 30 python $scriptdir/convert/EM_mergeblocks.py \ -i "$datadir/${dataset}_01000-02000_01000-02000_00030-00460_probs_ws_MAfilled.h5" \ "$datadir/${dataset}_01000-02000_02000-03000_00030-00460_probs_ws_MA_probs_ws_MAfilled.h5" \ "$datadir/${dataset}_02000-03000_01000-02000_00030-00460_probs_ws_MA_probs_ws_MAfilled.h5" \ "$datadir/${dataset}_02000-03000_02000-03000_00030-00460_probs_ws_MA_probs_ws_MAfilled.h5" \ -o "$datadir/${dataset}_01000-02000_01000-03000_00030-00460_probs_ws_MA.h5" \ -f 'stack' -l 'zyx' -b 1000 1000 30 python $scriptdir/convert/EM_stack2stack.py \ "${datadir}/${dataset}_01000-02000_01000-03000_00030-00460${pf}.h5" \ "${datadir}/${dataset}_01000-02000_01000-03000_00030-00460${pf}.nii.gz" \ -i 'zyx' -l 'xyz' -e -0.0073 -0.0073 0.05 python $scriptdir/convert/EM_mergeblocks.py \ -i "$datadir/${dataset}_01000-02000_01000-02000_00030-00460_probs_ws_MAfilled.h5" \ "$datadir/${dataset}_01000-02000_02000-03000_00030-00460_probs_ws_MA_probs_ws_MAfilled.h5" \ -o "$datadir/${dataset}_01000-03000_01000-03000_00030-00460_probs_ws_MA.h5" \ -f 'stack' -l 'zyx' -b 1000 1000 30 python $scriptdir/convert/EM_stack2stack.py \ "${datadir}/${dataset}_01000-03000_01000-03000_00030-00460${pf}.h5" \ "${datadir}/${dataset}_01000-03000_01000-03000_00030-00460${pf}.nii.gz" \ -i 'zyx' -l 'xyz' -e -0.0073 -0.0073 0.05 python $scriptdir/convert/EM_mergeblocks.py \ -i "$datadir/${dataset}_01000-02000_01000-02000_00030-00460.h5" \ "$datadir/${dataset}_01000-02000_02000-03000_00030-00460.h5" \ "$datadir/${dataset}_02000-03000_01000-02000_00030-00460.h5" \ "$datadir/${dataset}_02000-03000_02000-03000_00030-00460.h5" \ -o "$datadir/${dataset}_01000-03000_01000-03000_00030-00460.h5" \ -f 'stack' -l 'zyx' -b 1000 1000 30 python $scriptdir/convert/EM_stack2stack.py \ "${datadir}/${dataset}_01000-03000_01000-03000_00030-00460.h5" \ "${datadir}/${dataset}_01000-03000_01000-03000_00030-00460.nii.gz" \ -i 'zyx' -l 'xyz' -e -0.0073 -0.0073 0.05 -u ### 2x2 sections processing # for the raw datafiles, the _ is necessary due to bug in EM_mergeblocks.py for file in `ls $datadir/${dataset}_*-*_*-*_0-100.h5`; do echo $file cp $file ${file/.h5/_.h5} done pf= qsubfile=$datadir/EM_mb_${pf}.sh echo '#!/bin/bash' > $qsubfile echo "#SBATCH --nodes=1" >> $qsubfile echo "#SBATCH --ntasks-per-node=1" >> $qsubfile echo "#SBATCH --time=00:10:00" >> $qsubfile echo "#SBATCH --job-name=EM_mb" >> $qsubfile echo "python $scriptdir/convert/EM_mergeblocks.py \ -i $datadir/${dataset}_0-1000_0-1000_*-*_${pf}.h5 \ $datadir/${dataset}_0-1000_1000-2000_*-*_${pf}.h5 \ $datadir/${dataset}_1000-2000_0-1000_*-*_${pf}.h5 \ $datadir/${dataset}_1000-2000_1000-2000_*-*_${pf}.h5 \ -o $datadir/${dataset}_0x0.h5 \ -f 'stack' -l 'zyx'" >> $qsubfile echo "python $scriptdir/convert/EM_mergeblocks.py \ -i $datadir/${dataset}_0-1000_2000-3000_*-*_${pf}.h5 \ $datadir/${dataset}_0-1000_3000-4000_*-*_${pf}.h5 \ $datadir/${dataset}_1000-2000_2000-3000_*-*_${pf}.h5 \ $datadir/${dataset}_1000-2000_3000-4000_*-*_${pf}.h5 \ -o $datadir/${dataset}_0x2.h5 \ -f 'stack' -l 'zyx'" >> $qsubfile echo "python $scriptdir/convert/EM_mergeblocks.py \ -i $datadir/${dataset}_2000-3000_0-1000_*-*_${pf}.h5 \ $datadir/${dataset}_2000-3000_1000-2000_*-*_${pf}.h5 \ $datadir/${dataset}_3000-4000_0-1000_*-*_${pf}.h5 \ $datadir/${dataset}_3000-4000_1000-2000_*-*_${pf}.h5 \ -o $datadir/${dataset}_2x0.h5 \ -f 'stack' -l 'zyx'" >> $qsubfile echo "python $scriptdir/convert/EM_mergeblocks.py \ -i $datadir/${dataset}_2000-3000_2000-3000_*-*_${pf}.h5 \ $datadir/${dataset}_2000-3000_3000-4000_*-*_${pf}.h5 \ $datadir/${dataset}_3000-4000_2000-3000_*-*_${pf}.h5 \ $datadir/${dataset}_3000-4000_3000-4000_*-*_${pf}.h5 \ -o $datadir/${dataset}_2x2.h5 \ -f 'stack' -l 'zyx'" >> $qsubfile sbatch -p devel $qsubfile rm *_.h5 #rsync -avz ndcn0180@arcus.arc.ox.ac.uk:/data/ndcn-fmrib-water-brain/ndcn0180/EM/M3/M3_S1_GNU/archive/m000_z0000-z0100/m000_?x?.h5 /Users/michielk/oxdata/P01/EM/M3/M3_S1_GNU/ for pf in probs_ws_MM probs_ws_MA probs_ws_UA probs_ws_PA; do qsubfile=$datadir/EM_mb_${pf}.sh echo '#!/bin/bash' > $qsubfile echo "#SBATCH --nodes=1" >> $qsubfile echo "#SBATCH --ntasks-per-node=1" >> $qsubfile echo "#SBATCH --time=00:10:00" >> $qsubfile echo "#SBATCH --job-name=EM_mb" >> $qsubfile echo "python $scriptdir/convert/EM_mergeblocks.py \ -i $datadir/${dataset}_0-1000_0-1000_*-*_${pf}.h5 \ $datadir/${dataset}_0-1000_1000-2000_*-*_${pf}.h5 \ $datadir/${dataset}_1000-2000_0-1000_*-*_${pf}.h5 \ $datadir/${dataset}_1000-2000_1000-2000_*-*_${pf}.h5 \ -o $datadir/${dataset}_0x0_${pf}.h5 \ -f 'stack' -l 'zyx'" >> $qsubfile echo "python $scriptdir/convert/EM_mergeblocks.py \ -i $datadir/${dataset}_0-1000_2000-3000_*-*_${pf}.h5 \ $datadir/${dataset}_0-1000_3000-4000_*-*_${pf}.h5 \ $datadir/${dataset}_1000-2000_2000-3000_*-*_${pf}.h5 \ $datadir/${dataset}_1000-2000_3000-4000_*-*_${pf}.h5 \ -o $datadir/${dataset}_0x2_${pf}.h5 \ -f 'stack' -l 'zyx'" >> $qsubfile echo "python $scriptdir/convert/EM_mergeblocks.py \ -i $datadir/${dataset}_2000-3000_0-1000_*-*_${pf}.h5 \ $datadir/${dataset}_2000-3000_1000-2000_*-*_${pf}.h5 \ $datadir/${dataset}_3000-4000_0-1000_*-*_${pf}.h5 \ $datadir/${dataset}_3000-4000_1000-2000_*-*_${pf}.h5 \ -o $datadir/${dataset}_2x0_${pf}.h5 \ -f 'stack' -l 'zyx'" >> $qsubfile echo "python $scriptdir/convert/EM_mergeblocks.py \ -i $datadir/${dataset}_2000-3000_2000-3000_*-*_${pf}.h5 \ $datadir/${dataset}_2000-3000_3000-4000_*-*_${pf}.h5 \ $datadir/${dataset}_3000-4000_2000-3000_*-*_${pf}.h5 \ $datadir/${dataset}_3000-4000_3000-4000_*-*_${pf}.h5 \ -o $datadir/${dataset}_2x2_${pf}.h5 \ -f 'stack' -l 'zyx'" >> $qsubfile sbatch -p devel $qsubfile done #rsync -avz ndcn0180@arcus.arc.ox.ac.uk:/data/ndcn-fmrib-water-brain/ndcn0180/EM/M3/M3_S1_GNU/archive/m000_z0000-z0100/m000_?x?_*.h5 /Users/michielk/oxdata/P01/EM/M3/M3_S1_GNU/ scriptdir="$HOME/workspace/EM" DATA="$HOME/oxdata" datadir="$DATA/P01/EM/M3/M3_S1_GNU" for dataset in m000_0x0 m000_0x2 m000_2x0 m000_2x2; do python $scriptdir/convert/EM_stack2stack.py \ "${datadir}/${dataset}.h5" \ "${datadir}/${dataset}.nii.gz" -i 'zyx' -l 'xyz' for pf in probs_ws_MM probs_ws_MA probs_ws_UA probs_ws_PA; do python $scriptdir/convert/EM_stack2stack.py \ "${datadir}/${dataset}_${pf}.h5" \ "${datadir}/${dataset}_${pf}.nii.gz" -i 'zyx' -l 'xyz' done done scriptdir="$HOME/workspace/EM" oddir=$DATA/EM/M3/20Mar15/montage/Montage_ datadir="$DATA/EM/M3/M3_S1_GNU/archive/m000_z0000-z0100" dataset='m000' refsect='0250' pixprob_trainingset="pixprob_training" cp $datadir/${dataset}_0-1000_0-1000_0-100.h5 $datadir/${dataset}_0-1000_0-1000_0-100_.h5 cp $datadir/${dataset}_0-1000_1000-2000_0-100.h5 $datadir/${dataset}_0-1000_1000-2000_0-100_.h5 cp $datadir/${dataset}_1000-2000_0-1000_0-100.h5 $datadir/${dataset}_1000-2000_0-1000_0-100_.h5 cp $datadir/${dataset}_1000-2000_1000-2000_0-100.h5 $datadir/${dataset}_1000-2000_1000-2000_0-100_.h5 qsubfile=$datadir/EM_mb.sh echo '#!/bin/bash' > $qsubfile echo "#SBATCH --nodes=1" >> $qsubfile echo "#SBATCH --ntasks-per-node=1" >> $qsubfile echo "#SBATCH --time=00:10:00" >> $qsubfile echo "#SBATCH --job-name=EM_mb" >> $qsubfile echo "python $scriptdir/convert/EM_mergeblocks.py \ -i $datadir/${dataset}_0-1000_0-1000_*-*_.h5 \ $datadir/${dataset}_0-1000_1000-2000_*-*_.h5 \ $datadir/${dataset}_1000-2000_0-1000_*-*_.h5 \ $datadir/${dataset}_1000-2000_1000-2000_*-*_.h5 \ -o $datadir/${dataset}_2x2.h5 \ -f 'stack' -e 0.05 0.0073 0.0073 -l 'zyx'" >> $qsubfile sbatch -p devel $qsubfile #rsync -avz ndcn0180@arcus.arc.ox.ac.uk:/data/ndcn-fmrib-water-brain/ndcn0180/EM/M3/M3_S1_GNU/archive/m000_z0000-z0100/m000_2x2.h5 /Users/michielk/oxdata/P01/EM/M3/M3_S1_GNU/ ### merge a 2x2 subset of '_probs' blocks and extract prob0 qsubfile=$datadir/EM_mb.sh echo '#!/bin/bash' > $qsubfile echo "#SBATCH --nodes=1" >> $qsubfile echo "#SBATCH --ntasks-per-node=1" >> $qsubfile echo "#SBATCH --time=00:10:00" >> $qsubfile echo "#SBATCH --job-name=EM_mb" >> $qsubfile echo "python $scriptdir/convert/EM_mergeblocks.py \ -i $datadir/${dataset}_0-1000_0-1000_*-*_probs.h5 \ $datadir/${dataset}_0-1000_1000-2000_*-*_probs.h5 \ $datadir/${dataset}_1000-2000_0-1000_*-*_probs.h5 \ $datadir/${dataset}_1000-2000_1000-2000_*-*_probs.h5 \ -o $datadir/${dataset}_probs_2x2.h5 \ -f 'volume/predictions' -e 0.05 0.0073 0.0073 1 -l 'zyxc'" >> $qsubfile sbatch -p devel $qsubfile qsubfile=$datadir/EM_s2s.sh echo '#!/bin/bash' > $qsubfile echo "#SBATCH --nodes=1" >> $qsubfile echo "#SBATCH --ntasks-per-node=1" >> $qsubfile echo "#SBATCH --time=00:10:00" >> $qsubfile echo "#SBATCH --job-name=EM_s2s" >> $qsubfile echo "python $scriptdir/convert/EM_stack2stack.py \ $datadir/${dataset}_probs_2x2.h5 \ $datadir/${dataset}_probs_2x2_prob0.h5 \ -f 'volume/predictions' -g 'volume/predictions' -s 20 20 20 1 -i zyxc -l zyxc \ -c 0 -C 1" >> $qsubfile sbatch -p devel $qsubfile #rsync -avz ndcn0180@arcus.arc.ox.ac.uk:/data/ndcn-fmrib-water-brain/ndcn0180/EM/M3/M3_S1_GNU/archive/m000_z0000-z0100/m000_probs_2x2_prob0.h5 /Users/michielk/oxdata/P01/EM/M3/M3_S1_GNU/ ### merge a 9x9 block scriptdir="$HOME/workspace/EM" # DATA="$HOME/oxdata/P01" datadir="$DATA/EM/M3/M3_S1_GNU" && cd $datadir dataset='m000' # pf=; field='stack' # pf=_probs; field='volume/predictions' pf=_probs0_eed2; field='stack' qsubfile=$datadir/EM_mb${pf}.sh echo '#!/bin/bash' > $qsubfile echo "#SBATCH --nodes=1" >> $qsubfile echo "#SBATCH --ntasks-per-node=1" >> $qsubfile echo "#SBATCH --time=02:00:00" >> $qsubfile echo "#SBATCH --mem=250000" >> $qsubfile echo "#SBATCH --job-name=EM_mb" >> $qsubfile echo "python $scriptdir/convert/EM_mergeblocks.py -i \ $datadir/${dataset}_00000-01000_00000-01000_00000-00460${pf}.h5 \ $datadir/${dataset}_01000-02000_00000-01000_00000-00460${pf}.h5 \ $datadir/${dataset}_02000-03000_00000-01000_00000-00460${pf}.h5 \ $datadir/${dataset}_00000-01000_01000-02000_00000-00460${pf}.h5 \ $datadir/${dataset}_01000-02000_01000-02000_00000-00460${pf}.h5 \ $datadir/${dataset}_02000-03000_01000-02000_00000-00460${pf}.h5 \ $datadir/${dataset}_00000-01000_02000-03000_00000-00460${pf}.h5 \ $datadir/${dataset}_01000-02000_02000-03000_00000-00460${pf}.h5 \ $datadir/${dataset}_02000-03000_02000-03000_00000-00460${pf}.h5 \ -o $datadir/${dataset}_00000-03000_00000-03000_00000-00430${pf}.h5 \ -f $field -l 'zyx'" >> $qsubfile sbatch -p compute $qsubfile #rsync -avz ndcn0180@arcus.arc.ox.ac.uk:/data/ndcn-fmrib-water-brain/ndcn0180/EM/M3/M3_S1_GNU/m000_00000-03000_?????-?????_?????-?????.h5 /Users/michielk/oxdata/P01/EM/M3/M3_S1_GNU/ scriptdir="$HOME/workspace/EM" DATA="$HOME/oxdata" datadir="$DATA/P01/EM/M3/M3_S1_GNU" && cd $datadir dataset='m000' pf=; python $scriptdir/convert/EM_stack2stack.py \ "${datadir}/${dataset}_00000-03000_00000-03000_00000-00430.h5" \ "${datadir}/${dataset}_00000-03000_00000-03000_00000-00430.nii.gz" \ -i 'zyx' -l 'xyz' -e -0.0073 -0.0073 0.05 -u ### merge everything python $scriptdir/convert/EM_mergeblocks.py \ -i $datadir/${dataset}_*-*_*-*_*-*_probs.h5 \ -f 'volume/predictions' -e 0.05 0.0073 0.0073 1 -l 'zyxc' qsubfile=$datadir/EM_mb.sh echo '#!/bin/bash' > $qsubfile echo "#SBATCH --nodes=1" >> $qsubfile echo "#SBATCH --ntasks-per-node=1" >> $qsubfile echo "#SBATCH --time=00:10:00" >> $qsubfile echo "#SBATCH --job-name=EM_mb" >> $qsubfile echo "python $scriptdir/convert/EM_mergeblocks.py \ -i $datadir/${dataset}_*-*_*-*_*-*_probs.h5 \ -f 'volume/predictions' -e 0.05 0.0073 0.0073 1 -l 'zyxc'" >> $qsubfile sbatch -p devel $qsubfile ### merge everything for the _eed outputs for layer in 0 1 2; do qsubfile=$datadir/EM_mb.sh echo '#!/bin/bash' > $qsubfile echo "#SBATCH --nodes=1" >> $qsubfile echo "#SBATCH --ntasks-per-node=1" >> $qsubfile echo "#SBATCH --time=00:10:00" >> $qsubfile echo "#SBATCH --job-name=EM_mb" >> $qsubfile echo "python $scriptdir/convert/EM_mergeblocks.py \ -i $datadir/${dataset}_*-*_*-*_*-*_probs${layer}_eed2.h5 \ -f 'stack' -e 0.05 0.0073 0.0073 -l 'zyx'" >> $qsubfile sbatch -p devel $qsubfile done #rsync -avz ndcn0180@arcus.arc.ox.ac.uk:/data/ndcn-fmrib-water-brain/ndcn0180/EM/M3/M3_S1_GNU/archive/m000_z0000-z0100/m000_eed2.h5 /Users/michielk/oxdata/P01/EM/M3/M3_S1_GNU/ ### merge all blocks (explicit) pf=; field='stack' # pf=_probs; field='volume/predictions' pf=_probs0_eed2; field='stack' qsubfile=$datadir/EM_mb${pf}.sh echo '#!/bin/bash' > $qsubfile echo "#SBATCH --nodes=1" >> $qsubfile echo "#SBATCH --ntasks-per-node=1" >> $qsubfile echo "#SBATCH --time=02:00:00" >> $qsubfile #echo "#SBATCH --mem=50000" >> $qsubfile echo "#SBATCH --job-name=EM_mb" >> $qsubfile echo "python $scriptdir/convert/EM_mergeblocks.py -i \ $datadir/${dataset}_00000-01000_00000-01000_00030-00460${pf}.h5 \ $datadir/${dataset}_01000-02000_00000-01000_00030-00460${pf}.h5 \ $datadir/${dataset}_02000-03000_00000-01000_00030-00460${pf}.h5 \ $datadir/${dataset}_03000-04000_00000-01000_00030-00460${pf}.h5 \ $datadir/${dataset}_04000-05000_00000-01000_00030-00460${pf}.h5 \ $datadir/${dataset}_05000-05217_00000-01000_00030-00460${pf}.h5 \ $datadir/${dataset}_00000-01000_01000-02000_00030-00460${pf}.h5 \ $datadir/${dataset}_01000-02000_01000-02000_00030-00460${pf}.h5 \ $datadir/${dataset}_02000-03000_01000-02000_00030-00460${pf}.h5 \ $datadir/${dataset}_03000-04000_01000-02000_00030-00460${pf}.h5 \ $datadir/${dataset}_04000-05000_01000-02000_00030-00460${pf}.h5 \ $datadir/${dataset}_05000-05217_01000-02000_00030-00460${pf}.h5 \ $datadir/${dataset}_00000-01000_02000-03000_00030-00460${pf}.h5 \ $datadir/${dataset}_01000-02000_02000-03000_00030-00460${pf}.h5 \ $datadir/${dataset}_02000-03000_02000-03000_00030-00460${pf}.h5 \ $datadir/${dataset}_03000-04000_02000-03000_00030-00460${pf}.h5 \ $datadir/${dataset}_04000-05000_02000-03000_00030-00460${pf}.h5 \ $datadir/${dataset}_05000-05217_02000-03000_00030-00460${pf}.h5 \ $datadir/${dataset}_00000-01000_03000-04000_00030-00460${pf}.h5 \ $datadir/${dataset}_01000-02000_03000-04000_00030-00460${pf}.h5 \ $datadir/${dataset}_02000-03000_03000-04000_00030-00460${pf}.h5 \ $datadir/${dataset}_03000-04000_03000-04000_00030-00460${pf}.h5 \ $datadir/${dataset}_04000-05000_03000-04000_00030-00460${pf}.h5 \ $datadir/${dataset}_05000-05217_03000-04000_00030-00460${pf}.h5 \ $datadir/${dataset}_00000-01000_04000-04460_00030-00460${pf}.h5 \ $datadir/${dataset}_01000-02000_04000-04460_00030-00460${pf}.h5 \ $datadir/${dataset}_02000-03000_04000-04460_00030-00460${pf}.h5 \ $datadir/${dataset}_03000-04000_04000-04460_00030-00460${pf}.h5 \ $datadir/${dataset}_04000-05000_04000-04460_00030-00460${pf}.h5 \ $datadir/${dataset}_05000-05217_04000-04460_00030-00460${pf}.h5 \ -o $datadir/${dataset}_00000-05217_00000-04460_00030-00460${pf}.h5 \ -f $field -l 'zyx'" >> $qsubfile sbatch -p compute $qsubfile

45.545181

186

0.723828

2,403

15,121

4.308365

0.066583

0.182556

0.132908

0.113011

0.935574

0.930648

0.925336

0.895972

0.77195

0.65353

0

0.23862

0.070167

15,121

331

187

45.682779

0.497724

0.097282

0

0.611307

0

0.021201

0.240931

0.139301

0

null

0

null

0

null

0

1

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1

0

1

0

null

0

1

0

9

05983f6f27a16588fb228ee570953a7d204f2210

69,702

py

Python

eComCrawl/panel/views.py

vridashrava/discover

da475f8205bfdf12270d5676d7ee164a6b778a90

[ "Apache-2.0" ]

null

eComCrawl/panel/views.py

vridashrava/discover

da475f8205bfdf12270d5676d7ee164a6b778a90

[ "Apache-2.0" ]

null

eComCrawl/panel/views.py

vridashrava/discover

da475f8205bfdf12270d5676d7ee164a6b778a90

[ "Apache-2.0" ]

null

# -*- coding: utf-8 -*- from __future__ import unicode_literals from django.shortcuts import render from django.views.generic import TemplateView from crawlers.views import viewform, tasksOutput,viewdata,clearSessionData,get_category_names from django.http.response import HttpResponseRedirect from django.core.urlresolvers import reverse from django.http import HttpResponse, JsonResponse import json,logging,os,urllib from datetime import datetime,timedelta from crawlers.db import DB BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__))) from django.views import View # Create your views here. class Dashboard(TemplateView): template_name = 'dashboard/dashboard.html' def get(self, request, *args, **kwargs): return self.render_to_response({ "page": "dashboard" }) class Page2Verify(View): def post(self, request, *args, **kwargs): print (request.POST) return HttpResponse("ok") class AddWebsiteGenerateCategories(View): def post(self, request, *args, **kwargs): # print (request.POST) request.POST._mutable = True # post_data = request.POST.copy() r = get_category_names(request.POST) # r = {"MEN-SALE": "xpath_for_men_sale", "WOMEN-SALE": "xpath_for_women_sale"} return HttpResponse(json.dumps(r)) class AddWebsiteGenerateCategoriesSiteMap(View): def post(self, request, *args, **kwargs): request.POST._mutable = True # post_data = request.POST.copy() # @ASHMIT HERE> r = get_category_names(request.POST) # print ("categories_sitemap",request) # r = {"MEN-SALE": "xpath_for_men_sale", "WOMEN-SALE": "xpath_for_women_sale"} return HttpResponse(json.dumps(r)) class AddWebsite(TemplateView): template_name = 'dashboard/websites/add_website.html' subpage = "1" secondary_page = "add_website" data = "" def get(self, request, *args, **kwargs): categories_data = {} default_data = None if self.subpage == "1": if "page_1_data" in request.session: default_data = request.session["page_1_data"] if self.subpage == "2": # print(request.session["page_1_data"]) self.template_name = 'dashboard/websites/add_website_page_2.html' categories_data = {'ajio': {'MEN-SALE': ['https://www.ajio.com/c/men', 'https://www.ajio.com/', 'https://www.ajio.com/', 'https://www.ajio.com/s/mens-flat-50-80-off', 'https://www.ajio.com/s/jack-jones-western-wear', 'https://www.ajio.com/s/nike-men-brand', 'https://www.ajio.com/s/men-vans-footwear', 'https://www.ajio.com/s/jack-jones-western-wear', 'https://www.ajio.com/s/nike-men-brand', 'https://www.ajio.com/capsule/newin/men', 'https://www.ajio.com/s/men-newin-clothing', 'https://www.ajio.com/s/fresh-arrivals-accessories-and-footwear', 'https://www.ajio.com/s/international-brands-men', 'https://www.ajio.com/c/830216', 'https://www.ajio.com/c/830216010', 'https://www.ajio.com/c/830216001', 'https://www.ajio.com/c/830216013', 'https://www.ajio.com/c/830216002', 'https://www.ajio.com/c/830216015', 'https://www.ajio.com/c/830216011', 'https://www.ajio.com/c/830216003', 'https://www.ajio.com/c/830216004', 'https://www.ajio.com/c/830216014', 'https://www.ajio.com/c/830207', 'https://www.ajio.com/c/830207006', 'https://www.ajio.com/c/830207001', 'https://www.ajio.com/c/830207007', 'https://www.ajio.com/c/830207010', 'https://www.ajio.com/c/830207008?q=%3Arelevance', 'https://www.ajio.com/s/men-accessories-brands', 'https://www.ajio.com/c/830201001', 'https://www.ajio.com/c/830201', 'https://www.ajio.com/c/830201007', 'https://www.ajio.com/c/830202001', 'https://www.ajio.com/c/830205', 'https://www.ajio.com/c/830202002', 'https://www.ajio.com/c/830204003', 'https://www.ajio.com/c/men-capsule-collection', 'https://www.ajio.com/c/830212', 'https://www.ajio.com/c/830211', 'https://www.ajio.com/c/830211002', 'https://www.ajio.com/s/men-trunks-boxers', 'https://www.ajio.com/c/830211006', 'https://www.ajio.com/', 'https://www.ajio.com/s/eoss-men-impulse-steal-bags', 'https://www.ajio.com/s/mens-footwear-under-1499', 'https://www.ajio.com/s/jeans-under-1199', 'https://www.ajio.com/s/shorts-three-fourths-under-699', 'https://www.ajio.com/s/tees-clearance-sale', 'https://www.ajio.com/', 'https://www.ajio.com/', 'https://www.ajio.com/s/backpacks-and-utility-bags', 'https://www.ajio.com/c/men-brogues', 'https://www.ajio.com/s/cargos-chinos', 'https://www.ajio.com/s/men-shoe', 'https://www.ajio.com/c/men-denim-shirts-collection', 'https://www.ajio.com/c/graphic-shirts', 'https://www.ajio.com/c/830216003', 'https://www.ajio.com/c/Doubt-Is-Out', 'https://www.ajio.com/s/men-ajio-own-brand', 'https://www.ajio.com/s/international-brands-men', 'https://www.ajio.com/b/alcott', 'https://www.ajio.com/b/kaporal', 'https://www.ajio.com/b/native-youth', 'https://www.ajio.com/s/men-point-zero', 'https://www.ajio.com/b/tom-tailor', 'https://www.ajio.com/s/men-exclusive-brands', 'https://www.ajio.com/b/acuto', 'https://www.ajio.com/b/antiferro', 'https://www.ajio.com/s/men-dnmx-brand', 'https://www.ajio.com/b/funk', 'https://www.ajio.com/b/garcon', 'https://www.ajio.com/s/hats-off-accessories', 'https://www.ajio.com/b/netplay', 'https://www.ajio.com/b/piaffe', 'https://www.ajio.com/s/men-teamspirit-brand', 'https://www.ajio.com/c/830216', 'https://www.ajio.com/b/celio', 'https://www.ajio.com/s/duke-men', 'https://www.ajio.com/b/flying-machine', 'https://www.ajio.com/b/gas', 'https://www.ajio.com/b/indian-terrain', 'https://www.ajio.com/s/jack-jones-western-wear', 'https://www.ajio.com/b/john-players', 'https://www.ajio.com/s/men-killer-western-wear', 'https://www.ajio.com/s/men-lee', 'https://www.ajio.com/s/men-levis-western-wear', 'https://www.ajio.com/s/men-mark-spencer', 'https://www.ajio.com/s/pepe-jeans-men', 'https://www.ajio.com/b/spykar', 'https://www.ajio.com/s/united-colours-benetton', 'https://www.ajio.com/b/us-polo', 'https://www.ajio.com/s/men-wills-lifestyle', 'https://www.ajio.com/s/men-wrangler-western-wear', 'https://www.ajio.com/c/830211', 'https://www.ajio.com/s/hanes-innerwear-men', 'https://www.ajio.com/s/men-levis-innerwear', 'https://www.ajio.com/s/playboy-men', 'https://www.ajio.com/s/undercolors-of-benetton-innerwear', 'https://www.ajio.com/s/us-polo-innerwear', 'https://www.ajio.com/s/men-accessories-brands', 'https://www.ajio.com/s/men-eristonaman-accessories', 'https://www.ajio.com/s/flying-machine', 'https://www.ajio.com/b/mtv', 'https://www.ajio.com/s/puma-men-accessories', 'https://www.ajio.com/b/skybags', 'https://www.ajio.com/s/men-teakwood-leathers-accessories', 'https://www.ajio.com/s/tommy-hilfiger', 'https://www.ajio.com/s/men-us-polo-brand', 'https://www.ajio.com/s/men-wildcraft-accessories', 'https://www.ajio.com/s/men-wrangler-accessories', 'https://www.ajio.com/c/830207', 'https://www.ajio.com/s/men-carlton-london-footwear', 'https://www.ajio.com/s/crocs', 'https://www.ajio.com/s/famozi-footwear', 'https://www.ajio.com/b/knotty-derby', 'https://www.ajio.com/b/lee-cooper', 'https://www.ajio.com/b/modello-domani', 'https://www.ajio.com/b/muddman', 'https://www.ajio.com/s/men-puma-footwear-brand', 'https://www.ajio.com/b/red-tape', 'https://www.ajio.com/s/men-skechers-collection', 'https://www.ajio.com/b/sole-threads', 'https://www.ajio.com/s/men-ucb-footwear', 'https://www.ajio.com/s/men-vans-footwear', 'https://www.ajio.com/help/BrandListing'], 'WOMEN-SALE': ['asdf', 'ddd']}} if self.subpage == "3": # print(request.session["page_2_data"]) self.template_name = 'dashboard/websites/add_website_page_3.html' # default_data = request.session["page_3_data"] if "page_3_data" in request.session: default_data = request.session["page_3_data"] if self.subpage == "4": self.template_name = 'dashboard/websites/add_website_page_4.html' self.data = [{'product_name': ['Khaki Solid Slim Fit Chinos'], 'description': ['\n'], 'url': 'http://www.jabong.com/blackberrys-Khaki-Solid-Slim-Fit-Chinos-300077005.html?pos=1&cid=BL114MA03YFRINDFAS', 'product_brand': ['Blackberrys'], 'product_title': ['Blackberrys '], 'images': ['http://static2.jassets.com/p/Blackberrys-Khaki-Solid-Slim-Fit-Chinos-8761-500770003-1-pdp_slider_m.jpg', 'http://static1.jabong.com/live/images/img1x1.png', 'http://static1.jabong.com/live/images/img1x1.png', 'http://static1.jabong.com/live/images/img1x1.png', 'http://static1.jabong.com/live/images/img1x1.png', 'http://static1.jabong.com/live/images/img1x1.png', 'http://static1.jabong.com/live/images/img1x1.png', 'http://static1.jabong.com/live/images/zoom.png', 'http://static1.jabong.com/live/images/zoom.png', 'http://static1.jabong.com/live/images/zoom.png', 'http://static1.jabong.com/live/images/zoom.png', 'http://static1.jabong.com/live/images/zoom.png', 'http://static1.jabong.com/live/images/zoom.png', 'http://static1.jabong.com/live/images/zoom.png'], 'mrp': ['2195'], 'price': ['1756'], 'specifications': 'b\'<ul class="prod-main-wrapper"><li>FitSlim</li><li>ColorKhaki</li><li>Wash CareMachine Wash, Do Not Bleach, Do Not Tumble Dry, Cool Iron, Dry Clean</li><li>StyleSolid</li><li>SKUBL114MA03YFRINDFAS</li><li class="authorized-brand">AuthorizationBlackberrys authorized online sales partner. <div class="brand-authorization"><a href="javascript:void()" class="authorized-link" target="_blank" id="certificate">View Certificate</a></div></li></ul> \'', 'selling_price': ['1756'], 'breadcrumb': 'b\'<ol itemscope="" itemtype="http://schema.org/BreadcrumbList" class="breadcrumb"><li itemprop="itemListElement" itemscope="" itemtype="http://schema.org/ListItem"><a itemprop="url" href="http://www.jabong.com//">Home</a></li><li itemprop="itemListElement" itemscope="" itemtype="http://schema.org/ListItem"><a itemprop="url" href="http://www.jabong.com/men/">Men</a></li><li itemprop="itemListElement" itemscope="" itemtype="http://schema.org/ListItem"><a itemprop="url" href="http://www.jabong.com/men/clothing/">Clothing</a></li><li itemprop="itemListElement" itemscope="" itemtype="http://schema.org/ListItem"><a itemprop="url" href="http://www.jabong.com/men/clothing/trousers/">Trousers</a></li><li itemprop="itemListElement" itemscope="" itemtype="http://schema.org/ListItem"><a itemprop="url" href="http://www.jabong.com/men/clothing/trousers/casual-trousers/">Casual Trousers</a></li></ol>\'', 'discount': ['(-20%)'], 'id': '5949635e52ab721620f392ff'}, {'product_name': ['Black Solid Slim Fit Formal Trouser'], 'description': ['\n'], 'url': 'http://www.jabong.com/John_Player-Black-Solid-Slim-Fit-Formal-Trouser-300076981.html?pos=2&cid=JO423MA95BKVINDFAS', 'product_brand': ['John Players'], 'product_title': ['John Players '], 'images': ['http://static2.jassets.com/p/John-Players-Black-Solid-Slim-Fit-Formal-Trouser-2961-189670003-1-pdp_slider_m.webp', 'http://static1.jabong.com/live/images/img1x1.png', 'http://static1.jabong.com/live/images/img1x1.png', 'http://static1.jabong.com/live/images/img1x1.png', 'http://static1.jabong.com/live/images/img1x1.png', 'http://static1.jabong.com/live/images/img1x1.png', 'http://static1.jabong.com/live/images/img1x1.png', 'http://static1.jabong.com/live/images/zoom.png', 'http://static1.jabong.com/live/images/zoom.png', 'http://static1.jabong.com/live/images/zoom.png', 'http://static1.jabong.com/live/images/zoom.png', 'http://static1.jabong.com/live/images/zoom.png', 'http://static1.jabong.com/live/images/zoom.png', 'http://static1.jabong.com/live/images/zoom.png'], 'mrp': ['1999'], 'price': ['1000'], 'specifications': 'b\'<ul class="prod-main-wrapper"><li>FabricBlended</li><li>FitSlim</li><li>ColorBlack</li><li>Wash CareMachine Wash, Do Not Bleach, Do Not Tumble Dry, Cool Iron, Dry Clean</li><li>StyleSolid</li><li>SKUJO423MA95BKVINDFAS</li><li class="authorized-brand">AuthorizationJohn Players authorized online sales partner. <div class="brand-authorization"><a href="javascript:void()" class="authorized-link" target="_blank" id="certificate">View Certificate</a></div></li></ul> \'', 'selling_price': ['1000'], 'breadcrumb': 'b\'<ol itemscope="" itemtype="http://schema.org/BreadcrumbList" class="breadcrumb"><li itemprop="itemListElement" itemscope="" itemtype="http://schema.org/ListItem"><a itemprop="url" href="http://www.jabong.com//">Home</a></li><li itemprop="itemListElement" itemscope="" itemtype="http://schema.org/ListItem"><a itemprop="url" href="http://www.jabong.com/men/">Men</a></li><li itemprop="itemListElement" itemscope="" itemtype="http://schema.org/ListItem"><a itemprop="url" href="http://www.jabong.com/men/clothing/">Clothing</a></li><li itemprop="itemListElement" itemscope="" itemtype="http://schema.org/ListItem"><a itemprop="url" href="http://www.jabong.com/men/clothing/trousers/">Trousers</a></li><li itemprop="itemListElement" itemscope="" itemtype="http://schema.org/ListItem"><a itemprop="url" href="http://www.jabong.com/men/clothing/trousers/formal-trousers/">Formal Trousers</a></li></ol>\'', 'discount': ['(-50%)'], 'id': '5949638252ab721620f39300'}, {'product_name': ['Orange Checked Regular Fit Casual Shirt'], 'description': [], 'url': 'http://www.jabong.com/Tommy_Hilfiger-Orange-Checked-Regular-Fit-Casual-Shirt-300074043.html?pos=3&cid=TO348MA16JACINDFAS', 'product_brand': ['Tommy Hilfiger'], 'product_title': ['Tommy Hilfiger '], 'images': ['http://static2.jassets.com/p/Tommy-Hilfiger-Orange-Checked-Regular-Fit-Casual-Shirt-1959-340470003-1-pdp_slider_m.webp', 'http://static1.jabong.com/live/images/img1x1.png', 'http://static1.jabong.com/live/images/img1x1.png', 'http://static1.jabong.com/live/images/img1x1.png', 'http://static1.jabong.com/live/images/img1x1.png', 'http://static1.jabong.com/live/images/img1x1.png', 'http://static1.jabong.com/live/images/zoom.png', 'http://static1.jabong.com/live/images/zoom.png', 'http://static1.jabong.com/live/images/zoom.png', 'http://static1.jabong.com/live/images/zoom.png', 'http://static1.jabong.com/live/images/zoom.png', 'http://static1.jabong.com/live/images/zoom.png'], 'mrp': ['4299'], 'price': ['3226'], 'specifications': 'b\'<ul class="prod-main-wrapper"><li>FitRegular</li><li>ColorOrange</li><li>SleevesFull Sleeves</li><li>Wash CareMachine Wash, Do Not Bleach, Do Not Tumble Dry, Cool Iron, Dry Clean</li><li>FabricCotton</li><li>StyleChecked</li><li>SKUTO348MA16JACINDFAS</li><li>Model StatsModel is wearing size M and his height is 6\\\'0", chest 37" and waist 32".</li><li class="authorized-brand">AuthorizationTommy Hilfiger authorized online sales partner. <div class="brand-authorization"><a href="javascript:void()" class="authorized-link" target="_blank" id="certificate">View Certificate</a></div></li></ul> \'', 'selling_price': ['3226'], 'breadcrumb': 'b\'<ol itemscope="" itemtype="http://schema.org/BreadcrumbList" class="breadcrumb"><li itemprop="itemListElement" itemscope="" itemtype="http://schema.org/ListItem"><a itemprop="url" href="http://www.jabong.com//">Home</a></li><li itemprop="itemListElement" itemscope="" itemtype="http://schema.org/ListItem"><a itemprop="url" href="http://www.jabong.com/men/">Men</a></li><li itemprop="itemListElement" itemscope="" itemtype="http://schema.org/ListItem"><a itemprop="url" href="http://www.jabong.com/men/clothing/">Clothing</a></li><li itemprop="itemListElement" itemscope="" itemtype="http://schema.org/ListItem"><a itemprop="url" href="http://www.jabong.com/men/clothing/shirts/">Shirts</a></li><li itemprop="itemListElement" itemscope="" itemtype="http://schema.org/ListItem"><a itemprop="url" href="http://www.jabong.com/men/clothing/shirts/casual-shirts/">Casual Shirts</a></li></ol>\'', 'discount': ['(-25%)'], 'id': '594963a452ab721620f39301'}, {'product_name': ['Pink Solid Slim Fit Casual Shirt'], 'description': ['\n'], 'url': 'http://www.jabong.com/John_Player-Pink-Solid-Slim-Fit-Casual-Shirt-300082745.html?pos=4&cid=JO423MA16QDSINDFAS', 'product_brand': ['John Players'], 'product_title': ['John Players '], 'images': ['http://static2.jassets.com/p/John-Players-Pink-Solid-Slim-Fit-Casual-Shirt-9288-547280003-1-pdp_slider_m.webp', 'http://static1.jabong.com/live/images/img1x1.png', 'http://static1.jabong.com/live/images/img1x1.png', 'http://static1.jabong.com/live/images/img1x1.png', 'http://static1.jabong.com/live/images/img1x1.png', 'http://static1.jabong.com/live/images/img1x1.png', 'http://static1.jabong.com/live/images/zoom.png', 'http://static1.jabong.com/live/images/zoom.png', 'http://static1.jabong.com/live/images/zoom.png', 'http://static1.jabong.com/live/images/zoom.png', 'http://static1.jabong.com/live/images/zoom.png', 'http://static1.jabong.com/live/images/zoom.png'], 'mrp': ['1799'], 'price': ['900'], 'specifications': 'b\'<ul class="prod-main-wrapper"><li>FitSlim</li><li>ColorPink</li><li>SleevesFull Sleeves</li><li>Wash CareMachine Wash, Do Not Bleach, Do Not Tumble Dry, Cool Iron, Dry Clean</li><li>FabricCotton</li><li>StyleSolid</li><li>SKUJO423MA16QDSINDFAS</li><li>Model StatsModel is wearing size 40 and his height is 6\\\'1", chest 36" and waist 32".</li><li class="authorized-brand">AuthorizationJohn Players authorized online sales partner. <div class="brand-authorization"><a href="javascript:void()" class="authorized-link" target="_blank" id="certificate">View Certificate</a></div></li></ul> \'', 'selling_price': ['900'], 'breadcrumb': 'b\'<ol itemscope="" itemtype="http://schema.org/BreadcrumbList" class="breadcrumb"><li itemprop="itemListElement" itemscope="" itemtype="http://schema.org/ListItem"><a itemprop="url" href="http://www.jabong.com//">Home</a></li><li itemprop="itemListElement" itemscope="" itemtype="http://schema.org/ListItem"><a itemprop="url" href="http://www.jabong.com/men/">Men</a></li><li itemprop="itemListElement" itemscope="" itemtype="http://schema.org/ListItem"><a itemprop="url" href="http://www.jabong.com/men/clothing/">Clothing</a></li><li itemprop="itemListElement" itemscope="" itemtype="http://schema.org/ListItem"><a itemprop="url" href="http://www.jabong.com/men/clothing/shirts/">Shirts</a></li><li itemprop="itemListElement" itemscope="" itemtype="http://schema.org/ListItem"><a itemprop="url" href="http://www.jabong.com/men/clothing/shirts/casual-shirts/">Casual Shirts</a></li></ol>\'', 'discount': ['(-50%)'], 'id': '594963b852ab721620f39302'}, {'product_name': ['Club Black Training Shorts'], 'description': [], 'url': 'http://www.jabong.com/Adidas-Club-Black-Training-Shorts-300074465.html?pos=5&cid=AD004MA47YDRINDFAS', 'product_brand': ['Adidas'], 'product_title': ['Adidas '], 'images': ['http://static2.jassets.com/p/Adidas-Club-Black-Training-Shorts-7710-564470003-1-pdp_slider_m.webp', 'http://static1.jabong.com/live/images/img1x1.png', 'http://static1.jabong.com/live/images/img1x1.png', 'http://static1.jabong.com/live/images/img1x1.png', 'http://static1.jabong.com/live/images/img1x1.png', 'http://static1.jabong.com/live/images/img1x1.png', 'http://static1.jabong.com/live/images/img1x1.png', 'http://static1.jabong.com/live/images/zoom.png', 'http://static1.jabong.com/live/images/zoom.png', 'http://static1.jabong.com/live/images/zoom.png', 'http://static1.jabong.com/live/images/zoom.png', 'http://static1.jabong.com/live/images/zoom.png', 'http://static1.jabong.com/live/images/zoom.png', 'http://static1.jabong.com/live/images/zoom.png'], 'mrp': ['1899'], 'price': ['1299'], 'specifications': 'b\'<ul class="prod-main-wrapper"><li>FabricPolyester</li><li>FitRegular</li><li>ColorBlack</li><li>StyleSolid</li><li>SKUAD004MA47YDRINDFAS</li><li>Model StatsModel is wearing size M and his height is 6\\\'1", chest 40" and waist 32".</li><li class="authorized-brand">AuthorizationAdidas authorized online sales partner. <div class="brand-authorization"><a href="javascript:void()" class="authorized-link" target="_blank" id="certificate">View Certificate</a></div></li></ul> \'', 'selling_price': ['1299'], 'breadcrumb': 'b\'<ol itemscope="" itemtype="http://schema.org/BreadcrumbList" class="breadcrumb"><li itemprop="itemListElement" itemscope="" itemtype="http://schema.org/ListItem"><a itemprop="url" href="http://www.jabong.com//">Home</a></li><li itemprop="itemListElement" itemscope="" itemtype="http://schema.org/ListItem"><a itemprop="url" href="http://www.jabong.com/men/">Men</a></li><li itemprop="itemListElement" itemscope="" itemtype="http://schema.org/ListItem"><a itemprop="url" href="http://www.jabong.com/men/clothing/">Clothing</a></li><li itemprop="itemListElement" itemscope="" itemtype="http://schema.org/ListItem"><a itemprop="url" href="http://www.jabong.com/men/clothing/shorts-34ths/">Shorts & 3/4ths</a></li></ol>\'', 'discount': ['(-32%)'], '_id': '594963c052ab721620f39303'}] return self.render_to_response({ "page": "websites", "secondary_page": self.secondary_page, "data": self.data, "default_data": default_data, "categories_data": categories_data }) def post(self,request,*args, **kwargs): db =DB() website_data_list = [] categories_data = {} error = False default_data = None # print(self.subpage == "1") if self.subpage == "1": r = request.POST.dict() r["categories"] = request.POST.getlist("cat") if "cat" in r: del r["cat"] # Differentiate between sitemap and normal website if "urlname" in request.POST: website_type = "website" elif "sitemap_urlname" in request.POST: website_type = "sitemap" # sitemap_category_name_3 categories_data = viewform(request.POST) # categories_data = {'ajio': {'MEN-SALE': ['https://www.ajio.com/c/men', 'https://www.ajio.com/', 'https://www.ajio.com/', 'https://www.ajio.com/s/mens-flat-50-80-off', 'https://www.ajio.com/s/jack-jones-western-wear', 'https://www.ajio.com/s/nike-men-brand', 'https://www.ajio.com/s/men-vans-footwear', 'https://www.ajio.com/s/jack-jones-western-wear', 'https://www.ajio.com/s/nike-men-brand', 'https://www.ajio.com/capsule/newin/men', 'https://www.ajio.com/s/men-newin-clothing', 'https://www.ajio.com/s/fresh-arrivals-accessories-and-footwear', 'https://www.ajio.com/s/international-brands-men', 'https://www.ajio.com/c/830216', 'https://www.ajio.com/c/830216010', 'https://www.ajio.com/c/830216001', 'https://www.ajio.com/c/830216013', 'https://www.ajio.com/c/830216002', 'https://www.ajio.com/c/830216015', 'https://www.ajio.com/c/830216011', 'https://www.ajio.com/c/830216003', 'https://www.ajio.com/c/830216004', 'https://www.ajio.com/c/830216014', 'https://www.ajio.com/c/830207', 'https://www.ajio.com/c/830207006', 'https://www.ajio.com/c/830207001', 'https://www.ajio.com/c/830207007', 'https://www.ajio.com/c/830207010', 'https://www.ajio.com/c/830207008?q=%3Arelevance', 'https://www.ajio.com/s/men-accessories-brands', 'https://www.ajio.com/c/830201001', 'https://www.ajio.com/c/830201', 'https://www.ajio.com/c/830201007', 'https://www.ajio.com/c/830202001', 'https://www.ajio.com/c/830205', 'https://www.ajio.com/c/830202002', 'https://www.ajio.com/c/830204003', 'https://www.ajio.com/c/men-capsule-collection', 'https://www.ajio.com/c/830212', 'https://www.ajio.com/c/830211', 'https://www.ajio.com/c/830211002', 'https://www.ajio.com/s/men-trunks-boxers', 'https://www.ajio.com/c/830211006', 'https://www.ajio.com/', 'https://www.ajio.com/s/eoss-men-impulse-steal-bags', 'https://www.ajio.com/s/mens-footwear-under-1499', 'https://www.ajio.com/s/jeans-under-1199', 'https://www.ajio.com/s/shorts-three-fourths-under-699', 'https://www.ajio.com/s/tees-clearance-sale', 'https://www.ajio.com/', 'https://www.ajio.com/', 'https://www.ajio.com/s/backpacks-and-utility-bags', 'https://www.ajio.com/c/men-brogues', 'https://www.ajio.com/s/cargos-chinos', 'https://www.ajio.com/s/men-shoe', 'https://www.ajio.com/c/men-denim-shirts-collection', 'https://www.ajio.com/c/graphic-shirts', 'https://www.ajio.com/c/830216003', 'https://www.ajio.com/c/Doubt-Is-Out', 'https://www.ajio.com/s/men-ajio-own-brand', 'https://www.ajio.com/s/international-brands-men', 'https://www.ajio.com/b/alcott', 'https://www.ajio.com/b/kaporal', 'https://www.ajio.com/b/native-youth', 'https://www.ajio.com/s/men-point-zero', 'https://www.ajio.com/b/tom-tailor', 'https://www.ajio.com/s/men-exclusive-brands', 'https://www.ajio.com/b/acuto', 'https://www.ajio.com/b/antiferro', 'https://www.ajio.com/s/men-dnmx-brand', 'https://www.ajio.com/b/funk', 'https://www.ajio.com/b/garcon', 'https://www.ajio.com/s/hats-off-accessories', 'https://www.ajio.com/b/netplay', 'https://www.ajio.com/b/piaffe', 'https://www.ajio.com/s/men-teamspirit-brand', 'https://www.ajio.com/c/830216', 'https://www.ajio.com/b/celio', 'https://www.ajio.com/s/duke-men', 'https://www.ajio.com/b/flying-machine', 'https://www.ajio.com/b/gas', 'https://www.ajio.com/b/indian-terrain', 'https://www.ajio.com/s/jack-jones-western-wear', 'https://www.ajio.com/b/john-players', 'https://www.ajio.com/s/men-killer-western-wear', 'https://www.ajio.com/s/men-lee', 'https://www.ajio.com/s/men-levis-western-wear', 'https://www.ajio.com/s/men-mark-spencer', 'https://www.ajio.com/s/pepe-jeans-men', 'https://www.ajio.com/b/spykar', 'https://www.ajio.com/s/united-colours-benetton', 'https://www.ajio.com/b/us-polo', 'https://www.ajio.com/s/men-wills-lifestyle', 'https://www.ajio.com/s/men-wrangler-western-wear', 'https://www.ajio.com/c/830211', 'https://www.ajio.com/s/hanes-innerwear-men', 'https://www.ajio.com/s/men-levis-innerwear', 'https://www.ajio.com/s/playboy-men', 'https://www.ajio.com/s/undercolors-of-benetton-innerwear', 'https://www.ajio.com/s/us-polo-innerwear', 'https://www.ajio.com/s/men-accessories-brands', 'https://www.ajio.com/s/men-eristonaman-accessories', 'https://www.ajio.com/s/flying-machine', 'https://www.ajio.com/b/mtv', 'https://www.ajio.com/s/puma-men-accessories', 'https://www.ajio.com/b/skybags', 'https://www.ajio.com/s/men-teakwood-leathers-accessories', 'https://www.ajio.com/s/tommy-hilfiger', 'https://www.ajio.com/s/men-us-polo-brand', 'https://www.ajio.com/s/men-wildcraft-accessories', 'https://www.ajio.com/s/men-wrangler-accessories', 'https://www.ajio.com/c/830207', 'https://www.ajio.com/s/men-carlton-london-footwear', 'https://www.ajio.com/s/crocs', 'https://www.ajio.com/s/famozi-footwear', 'https://www.ajio.com/b/knotty-derby', 'https://www.ajio.com/b/lee-cooper', 'https://www.ajio.com/b/modello-domani', 'https://www.ajio.com/b/muddman', 'https://www.ajio.com/s/men-puma-footwear-brand', 'https://www.ajio.com/b/red-tape', 'https://www.ajio.com/s/men-skechers-collection', 'https://www.ajio.com/b/sole-threads', 'https://www.ajio.com/s/men-ucb-footwear', 'https://www.ajio.com/s/men-vans-footwear', 'https://www.ajio.com/help/BrandListing'], 'WOMEN-SALE': ['asdf', 'ddd']}} for key in categories_data: r["cat_names"] = [key2 for key2 in categories_data[key]] # cat_xpath = {} # for cat in categories_data[key]: # xpath = categories_data[key][cat]["xpath"] # cat_xpath[cat] = xpath # r["cat_xpath"] = cat_xpath # print(cat_xpath) # print("ok=====") print ("r",r) request.session["page_1_data"] = r if bool(categories_data[request.POST.get("urlname" if website_type == "website" else "sitemap_urlname")]) == False: error = True if "page_1_data" in request.session: default_data = request.session["page_1_data"] else: self.template_name = "dashboard/websites/add_website_page_2.html" # print ("viewform",categories_data) if self.subpage == "2": r = request.POST.dict() if "verify" in r: r_1 = request.session["page_1_data"] r_1["xpath_forced"] = True r_1["categorical_url_dict"] = request.POST.dict() categories_data = viewform(r_1) self.template_name = "dashboard/websites/add_website_page_2.html" else: # for cat in request.session["page_1_data"]["categories"]: # r[cat] = request.POST.getlist(cat) # print (cat) # print (r) # request.session["page_2_data"] = r for cat in request.session["page_1_data"]["cat_names"]: r[cat] = request.POST.getlist(cat) print (cat) print (r) request.session["page_2_data"] = r self.template_name = "dashboard/websites/add_website_page_3.html" if self.subpage == "3": r = request.POST.dict() request.session["page_3_data"] = r # print(request.session["page_3_data"]) # return HttpResponse("asdf") page_1_data = request.session['page_1_data'] if "sitemap_urlname" in page_1_data: page_1_data["urlname"] = page_1_data["sitemap_urlname"] page_1_data["type"] = "sitemap" page_1_data["categoryType"] = "sitemap" page_2_data = request.session['page_2_data'] page_3_data = request.session['page_3_data'] items = {'approach':"click"} listing_dict = {} product_dict = {} listing_dict['product_title'] = {"xpath":page_3_data.get('xpath_product_title_1',''),"xpath_type":page_3_data.get('type_product_title_1','')} listing_dict["product_title"]["xpath2"] = page_3_data.get('xpath_product_title_2','') listing_dict["product_title"]["xpath_type2"] = page_3_data.get('type_product_title_2','') listing_dict["url"] = {} if len(page_3_data.get('xpath_url',[]))>1: listing_dict["url"]["xpath"] = page_3_data.get('xpath_url',[]) listing_dict["url"]["xpath2"] = page_3_data.get('xpath_url',[]) listing_dict["url"]["xpath_type"] = "href" listing_dict["url"]["xpath_type2"] = "href" else: listing_dict['url'] = {"xpath":page_3_data.get('xpath_url',''),"xpath_type":page_3_data.get('type_url','')} listing_dict['image'] = {"xpath":page_3_data.get('xpath_image',''),"xpath_type":page_3_data.get('type_image','')} product_dict['product_name'] = {"xpath":page_3_data.get('xpath_product_name',''),"xpath_type":page_3_data.get('type_product_name','')} product_dict['product_id'] = {"xpath":page_3_data.get('xpath_product_id',''),"xpath_type":page_3_data.get('type_product_id','')} product_dict['rating'] = {"xpath":page_3_data.get('xpath_rating',''),"xpath_type":page_3_data.get('type_rating','')} product_dict['review_url'] = {"xpath":page_3_data.get('xpath_review_url',''),"xpath_type":page_3_data.get('type_review_url','')} product_dict['mrp'] = {"xpath":page_3_data.get('xpath_mrp',''),"xpath_type":page_3_data.get('type_mrp','')} product_dict['discount'] = {"xpath":page_3_data.get('xpath_discount',''),"xpath_type":page_3_data.get('type_discount','')} product_dict['selling_price'] = {"xpath":page_3_data.get('xpath_selling_price',''),"xpath_type":page_3_data.get('type_selling_price','')} product_dict['images'] = {"xpath":page_3_data.get('xpath_images',''),"xpath_type":page_3_data.get('type_images','')} product_dict['shipping_charge'] = {"xpath":page_3_data.get('xpath_shipping_charge',''),"xpath_type":page_3_data.get('type_shipping_charge','')} product_dict['delivery_time'] = {"xpath":page_3_data.get('xpath_delivery_time',''),"xpath_type":page_3_data.get('type_delivery_time','')} product_dict['material'] = {"xpath":page_3_data.get('xpath_material',''),"xpath_type":page_3_data.get('type_material','')} product_dict['color'] = {"xpath":page_3_data.get('xpath_color',''),"xpath_type":page_3_data.get('type_color','')} product_dict['description'] = {"xpath":page_3_data.get('xpath_description',''),"xpath_type":page_3_data.get('type_description','')} product_dict['specifications'] = {"xpath":page_3_data.get('xpath_specifications',''),"xpath_type":page_3_data.get('type_specifications','')} product_dict['thumbnail'] = {"xpath":page_3_data.get('xpath_thumbnail',''),"xpath_type":page_3_data.get('type_thumbnail','')} product_dict['breadcrumb'] = {"xpath":page_3_data.get('xpath_breadcrumb',''),"xpath_type":page_3_data.get('type_breadcrumb','')} product_dict['sizes'] = {"xpath":page_3_data.get('xpath_sizes',''),"xpath_type":page_3_data.get('type_sizes','')} paginate_parameters = {} pagination_type = page_3_data.get("paginationType","") if pagination_type: paginate_parameters['scroll_time_wait'] = int(page_3_data.get("pagination_pause_time",10)) paginate_parameters['page_listing'] = int(page_3_data.get("pagination_items_per_page",50)) paginate_parameters["products_path_count"] = page_3_data.get("xpath_product_count") paginate_parameters['load_more_xpath'] = page_3_data.get("xpath_next_button","") page_1_data['pagination'] = {"type":pagination_type,"paginate_parameters":paginate_parameters} # product_dict[''] = {"xpath":page_3_data.get('xpath_',''),"xpath_type":page_3_data.get('type_','')} items['fields'] = {'listing':listing_dict,'product':product_dict} items['xpath'] = page_3_data.get("items_xpath_1","") items['xpath2'] = page_3_data.get("items_xpath_2","") categoryType = page_1_data.get("categoryType","") if "clickhover" in categoryType or "hover" in categoryType: items['hover'] = True else: items['hover'] = False items['approach'] = "click" page_1_data['items'] = items try: del page_1_data['csrfmiddlewaretoken'] del page_2_data['csrfmiddlewaretoken'] except: items['approach'] = "click" category_dict = {} for category,category_list in page_2_data.items(): category_dict[category]= [] for category_url in category_list: category_dict[category].append([category_url,False,0,0,0,"N/A"]) category_dict = {page_1_data['urlname']:category_dict} website_name = page_1_data['urlname'] db_handle =db.get_cursor(website_name+"_categories") logging.info("Categorical URLs Gathered for "+ website_name) logging.info("Categorical URLs Updated for "+website_name) print (json.dumps(page_1_data,indent=4)) print (json.dumps(page_2_data,indent=4)) homepage = page_1_data['url'] # print (page_1_data['url']) for category in page_2_data.keys(): category_url = page_2_data[category][4] website_data = viewdata(category_url,website_name,test=True,website_settings =page_1_data) # print (website_data) if website_data: website_data_list+=website_data request.session['page_4_data'] = page_1_data if len(website_data_list) > 0: self.template_name = "dashboard/websites/add_website_page_4.html" db.replace_cateogrical_data(db_handle,website_name,category_dict) else: self.template_name = "dashboard/websites/add_website_page_3.html" if "page_3_data" in request.session: default_data = request.session["page_3_data"] # TODO: IF EVERYTHING IS SUCCESSFUL CLEAR SESSION return self.render_to_response({ "page":"websites", "secondary_page": self.secondary_page, "categories_data" : categories_data, "data":website_data_list, "error": error, "default_data": default_data }) def resetNewWebste(request): clearSessionData(request) return HttpResponseRedirect(reverse("add_website")) class Websites(TemplateView): template_name = 'dashboard/websites/websites.html' secondary_page = "all_websites" def get(self, request, *args, **kwargs): db = DB() website_list = [] collection_names = db.db_handle.collection_names() # print (collection_names) for collection_name in collection_names: website_dict = {} if collection_name.endswith("_categories"): website_name = collection_name.replace("_categories","") db_cursor = db.get_cursor(collection_name) category_dict = db.read_data(db_cursor,{website_name:{'$exists':True}})[0] del category_dict["_id"] categories_list = category_dict[website_name].keys() categories_list = [each for each in categories_list if each != ""] website_list.append({"name":website_name,"categories":categories_list}) # website_list = [{"name": "jabong", "categories": ["MEN", "WOMEN"]}, {"name": "tatacliq", "categories": ["MEN", "WOMEN"]}] return self.render_to_response({ "page": "websites", "secondary_page": self.secondary_page, "websites": website_list }) class EditWebsite(TemplateView): template_name = 'dashboard/websites/edit_website_page_3.html' def get(self, request, website, *args, **kwargs): print(website) with open('eComCrawl/jsons/' + website + ".json") as data_file: data = json.load(data_file) clearSessionData(request) #{'submit': '', 'categoryType': 'clickhover', 'type': 'type test', 'urlname': 'jabong', 'xpath': 'test', 'url': 'http://www.gadgetsnow.com/', 'categories': ['cat1', 'cat2'], 'csrfmiddlewaretoken': 'rNUiOvzap3IPxQqVpn3YI5CE3yE94sMJpynJJnjfZDPvvVx0xgbuZazL5ajbdWl6'} # request.session["page_1_data"] = { # 'urlname': data["urlname"], # 'url': data["url"], # 'categories': data['cat'], # 'xpath': data['xpath'], # 'categoryType': data['categoryType'], # 'type': data['type'] # } # TODO: GET PAGE 2 DATA FROM DATASASE HERE print(data["items"]) default_data = { "items_xpath_1": data["items"]["xpath"], "xpath_product_title_1": data["items"]["fields"]["listing"]["product_title"]["xpath"], "type_product_title_1": data["items"]["fields"]["listing"]["product_title"]["xpath_type"], "xpath_url_1": data["items"]["fields"]["listing"]["url"]["xpath"], "type_url_1": data["items"]["fields"]["listing"]["url"]["xpath_type"], "paginationType": data["pagination"]["type"], "pagination_pause_time": data["pagination"]["paginate_parameters"].get("scroll_time_wait", ""), "pagination_items_per_page": data["pagination"]["paginate_parameters"].get("page_listing", ""), "xpath_product_count": data["pagination"]["paginate_parameters"].get("products_path_count", ""), "xpath_next_button": data["pagination"]["paginate_parameters"].get("load_more_xpath", ""), "xpath_product_name": data["items"]["fields"]["product"]["product_name"]["xpath"], "type_product_name": data["items"]["fields"]["product"]["product_name"]["xpath_type"], "xpath_product_id": data["items"]["fields"]["product"]["product_id"]["xpath"], "type_product_id": data["items"]["fields"]["product"]["product_id"]["xpath_type"], "xpath_rating": data["items"]["fields"]["product"]["rating"]["xpath"], "type_rating": data["items"]["fields"]["product"]["rating"]["xpath_type"], "xpath_review_url": data["items"]["fields"]["product"]["review_url"]["xpath"], "type_review_url": data["items"]["fields"]["product"]["review_url"]["xpath_type"], "xpath_mrp": data["items"]["fields"]["product"]["mrp"]["xpath"], "type_mrp": data["items"]["fields"]["product"]["mrp"]["xpath_type"], "xpath_discount": data["items"]["fields"]["product"]["discount"]["xpath"], "type_discount": data["items"]["fields"]["product"]["discount"]["xpath_type"], "xpath_selling_price": data["items"]["fields"]["product"]["selling_price"]["xpath"], "type_selling_price": data["items"]["fields"]["product"]["selling_price"]["xpath_type"], "xpath_images": data["items"]["fields"]["product"]["images"]["xpath"], "type_images": data["items"]["fields"]["product"]["images"]["xpath_type"], "xpath_shipping_charge": data["items"]["fields"]["product"]["shipping_charge"]["xpath"], "type_shipping_charge": data["items"]["fields"]["product"]["shipping_charge"]["xpath_type"], "xpath_delivery_time": data["items"]["fields"]["product"]["delivery_time"]["xpath"], "type_delivery_time": data["items"]["fields"]["product"]["delivery_time"]["xpath_type"], "xpath_material": data["items"]["fields"]["product"]["material"]["xpath"], "type_material": data["items"]["fields"]["product"]["material"]["xpath_type"], "xpath_color": data["items"]["fields"]["product"]["color"]["xpath"], "type_color": data["items"]["fields"]["product"]["color"]["xpath_type"], "xpath_description": data["items"]["fields"]["product"]["description"]["xpath"], "type_description": data["items"]["fields"]["product"]["description"]["xpath_type"], "xpath_specifications": data["items"]["fields"]["product"]["specifications"]["xpath"], "type_specifications": data["items"]["fields"]["product"]["specifications"]["xpath_type"], "xpath_thumbnail": data["items"]["fields"]["product"]["thumbnail"]["xpath"], "type_thumbnail": data["items"]["fields"]["product"]["thumbnail"]["xpath_type"], "xpath_breadcrumb": data["items"]["fields"]["product"]["breadcrumb"]["xpath"], "type_breadcrumb": data["items"]["fields"]["product"]["breadcrumb"]["xpath_type"], "xpath_sizes": data["items"]["fields"]["product"]["sizes"]["xpath"], "type_sizes": data["items"]["fields"]["product"]["sizes"]["xpath_type"], } return self.render_to_response({ "page":"websites", "default_data": default_data }) def post(self, request, website, *args, **kwargs): with open('eComCrawl/jsons/' + website + ".json", 'r+') as data_file: data = json.load(data_file) page_3_data = request.POST pagination_dict = {} listing_dict = {} product_dict = {} listing_dict['product_title'] = {"xpath":page_3_data.get('xpath_product_title',''),"xpath_type":page_3_data.get('','')} listing_dict['url'] = {"xpath":page_3_data.get('xpath_url',''),"xpath_type":page_3_data.get('type_url','')} listing_dict['image'] = {"xpath":page_3_data.get('xpath_image',''),"xpath_type":page_3_data.get('type_image','')} product_dict['product_name'] = {"xpath":page_3_data.get('xpath_product_name',''),"xpath_type":page_3_data.get('type_product_name','')} product_dict['product_id'] = {"xpath":page_3_data.get('xpath_product_id',''),"xpath_type":page_3_data.get('type_product_id','')} product_dict['rating'] = {"xpath":page_3_data.get('xpath_rating',''),"xpath_type":page_3_data.get('type_rating','')} product_dict['review_url'] = {"xpath":page_3_data.get('xpath_review_url',''),"xpath_type":page_3_data.get('type_review_url','')} product_dict['mrp'] = {"xpath":page_3_data.get('xpath_mrp',''),"xpath_type":page_3_data.get('type_mrp','')} product_dict['discount'] = {"xpath":page_3_data.get('xpath_discount',''),"xpath_type":page_3_data.get('type_discount','')} product_dict['selling_price'] = {"xpath":page_3_data.get('xpath_selling_price',''),"xpath_type":page_3_data.get('type_selling_price','')} product_dict['images'] = {"xpath":page_3_data.get('xpath_images',''),"xpath_type":page_3_data.get('type_images','')} product_dict['shipping_charge'] = {"xpath":page_3_data.get('xpath_shipping_charge',''),"xpath_type":page_3_data.get('type_shipping_charge','')} product_dict['delivery_time'] = {"xpath":page_3_data.get('xpath_delivery_time',''),"xpath_type":page_3_data.get('type_delivery_time','')} product_dict['material'] = {"xpath":page_3_data.get('xpath_material',''),"xpath_type":page_3_data.get('type_material','')} product_dict['color'] = {"xpath":page_3_data.get('xpath_color',''),"xpath_type":page_3_data.get('type_color','')} product_dict['description'] = {"xpath":page_3_data.get('xpath_description',''),"xpath_type":page_3_data.get('type_description','')} product_dict['specifications'] = {"xpath":page_3_data.get('xpath_specifications',''),"xpath_type":page_3_data.get('type_specifications','')} product_dict['thumbnail'] = {"xpath":page_3_data.get('xpath_thumbnail',''),"xpath_type":page_3_data.get('type_thumbnail','')} product_dict['breadcrumb'] = {"xpath":page_3_data.get('xpath_breadcrumb',''),"xpath_type":page_3_data.get('type_breadcrumb','')} product_dict['sizes'] = {"xpath":page_3_data.get('xpath_sizes',''),"xpath_type":page_3_data.get('type_sizes','')} paginate_parameters = {} pagination_type = page_3_data.get("paginationType","") if pagination_type: paginate_parameters['scroll_time_wait'] = int(page_3_data.get("pagination_pause_time",5)) paginate_parameters['page_listing'] = int(page_3_data.get("pagination_items_per_page",20)) paginate_parameters["products_path_count"] = page_3_data.get("xpath_product_count") paginate_parameters['load_more_xpath'] = page_3_data.get("xpath_next_button","") pagination_dict = {"type":pagination_type,"paginate_parameters":paginate_parameters} data["items"]["fields"] = {'listing':listing_dict,'product':product_dict} data["items"]["xpath"] = page_3_data.get("items_xpath_1","") data["items"]['xpath_2'] = page_3_data.get("items_xpath_2","") data["pagination"] = pagination_dict data_file.seek(0) # <--- should reset file position to the beginning. json.dump(data, data_file, indent=4) data_file.truncate() # remove remaining part return HttpResponseRedirect(reverse("websites")) class WebsiteCategory(TemplateView): template_name = "dashboard/websites/website_category.html" def get(self, request, website, category, *args, **kwargs): db = DB() # get dat from database db_handle =db.get_cursor(website+"_categories") category_dict = db.read_data(db_handle,{website:{'$exists':True}})[0][website][category] final_dict = {} running_list = [] running_urls = [] try: running_urls = db.get_cursor("running_urls") running_list = db.read_data(running_urls,{})[0]['urls'] except: running_list = [] for category_list in category_dict: # category_dict[category].append([category_url,False,0,0,"N/A"]) if category_list[0] in running_list: final_dict[category_list[0]] = {"crawled_status":category_list[1],"items_gathered":category_list[2], "total_count":category_list[3],"last_crawled":category_list[5], "unique_items":category_list[4],"current_status":"running"} else: final_dict[category_list[0]] = {"crawled_status":category_list[1],"items_gathered":category_list[2], "total_count":category_list[3],"last_crawled":category_list[5], "unique_items":category_list[4],"current_status":"ready"} return self.render_to_response({ "page": "websites", "website_name": website, "category": category, "urls": final_dict }) # return self.render_to_response({ # "page": "websites", # "website_name": website, # "category": category, # "urls": { # 'http://www.jabong.com/women/new-products/?source=topnav_women': { # 'crawled_status': False, # "last_crawled" : "5 hours ago", # "items_gathered": 0, # "total_count":"2", # "unique_items":"3", # "current_status": "running" # }, # 'http://www.jabong.com/women/new-products/?source=blabla':{ # 'crawled_status':False, # "last_crawled":"10 hours ago", # "items_gathered":0, # "total_count":"12", # "unique_items":"5", # "current_status": "ready" # } # } # }) class MonitorCrawlers(TemplateView): template_name = 'dashboard/monitor_crawlers/monitor_crawlers.html' def get(self, request, *args, **kwargs): return self.render_to_response({ "page": "monitor_crawlers", }) def MonitorCrawlersApi(request): return JsonResponse(tasksOutput(), safe = False) # return JsonResponse([{ # "task": "some task name", # "site": "google.com", # "status": "success", # "started": "starting time", # "completed": "completed time", # "elapsed": "elapsed time" # }, { # "task": "some task name", # "site": "google.com", # "status": "failure", # "started": "starting time", # "completed": "completed time", # "elapsed": "elapsed time" # }], safe = False) class Logs(TemplateView): template_name = 'dashboard/logs/logs.html' def get(self, request, *args, **kwargs): log_text = open(BASE_DIR+"/eComCrawl/celery.log","r").read() log_text = log_text.split("\n")[::-1] # log_text = ["Lorem ipsum dolor sit amet, consectetur adipisicing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.", "THis is another text here", "Heres another"] return self.render_to_response({ "page": "logs", "log_data" : log_text, }) class StartCrawl(View): def post(self, request, *args, **kwargs): data_dict = {} category_url = request.POST.get("url") website_name = request.POST.get("site") # print ("site",website_name) # print ("url",category_url) db = DB() running_list = [] running_urls = db.get_cursor("running_urls") try: running_list = db.read_data(running_urls,{})[0]['urls'] except: running_list = [] if running_list: running_list.append(category_url) db.replace_cateogrical_data(running_urls,"urls",{"urls":running_list}) else: db.replace_cateogrical_data(running_urls,"urls",{"urls":[category_url]}) data_dict = viewdata(category_url,website_name,test=False) # TODO: grab the url and start crawler # append the url to "Running" table return HttpResponse("running") class Recent(TemplateView): template_name = 'dashboard/recent/recent.html' def get(self, request, *args, **kwargs): website_data = [] db = DB() running_list = [] running_urls = db.get_cursor("running_urls") try: running_list = db.read_data(running_urls,{})[0]['urls'] except: running_list = [] print (running_list) if running_list: for cat_url in running_list: print (cat_url) website_name = urllib.parse.urlparse(cat_url) website_name = website_name.netloc website_name = website_name.split(".")[-2] print (website_name) end_date = datetime.now()-timedelta(days=1) read_cursor = db.get_cursor(website_name.lower()) data = db.read_data(read_cursor,{'crawled_date':{'$gte':end_date.strftime("%Y-%m-%d %H:%M:%S"),'$lt':datetime.now().strftime("%Y-%m-%d %H:%M:%S")}}) print (data) for each_data in data: del each_data["_id"] website_data.append(each_data) print (each_data) data = [{'product_name': ['Khaki Solid Slim Fit Chinos'], 'description': ['\n'], 'url': 'http://www.jabong.com/blackberrys-Khaki-Solid-Slim-Fit-Chinos-300077005.html?pos=1&cid=BL114MA03YFRINDFAS', 'product_brand': ['Blackberrys'], 'product_title': ['Blackberrys '], 'images': ['http://static2.jassets.com/p/Blackberrys-Khaki-Solid-Slim-Fit-Chinos-8761-500770003-1-pdp_slider_m.jpg', 'http://static1.jabong.com/live/images/img1x1.png', 'http://static1.jabong.com/live/images/img1x1.png', 'http://static1.jabong.com/live/images/img1x1.png', 'http://static1.jabong.com/live/images/img1x1.png', 'http://static1.jabong.com/live/images/img1x1.png', 'http://static1.jabong.com/live/images/img1x1.png', 'http://static1.jabong.com/live/images/zoom.png', 'http://static1.jabong.com/live/images/zoom.png', 'http://static1.jabong.com/live/images/zoom.png', 'http://static1.jabong.com/live/images/zoom.png', 'http://static1.jabong.com/live/images/zoom.png', 'http://static1.jabong.com/live/images/zoom.png', 'http://static1.jabong.com/live/images/zoom.png'], 'mrp': ['2195'], 'price': ['1756'], 'specifications': 'b\'<ul class="prod-main-wrapper"><li>FitSlim</li><li>ColorKhaki</li><li>Wash CareMachine Wash, Do Not Bleach, Do Not Tumble Dry, Cool Iron, Dry Clean</li><li>StyleSolid</li><li>SKUBL114MA03YFRINDFAS</li><li class="authorized-brand">AuthorizationBlackberrys authorized online sales partner. <div class="brand-authorization"><a href="javascript:void()" class="authorized-link" target="_blank" id="certificate">View Certificate</a></div></li></ul> \'', 'selling_price': ['1756'], 'breadcrumb': 'b\'<ol itemscope="" itemtype="http://schema.org/BreadcrumbList" class="breadcrumb"><li itemprop="itemListElement" itemscope="" itemtype="http://schema.org/ListItem"><a itemprop="url" href="http://www.jabong.com//">Home</a></li><li itemprop="itemListElement" itemscope="" itemtype="http://schema.org/ListItem"><a itemprop="url" href="http://www.jabong.com/men/">Men</a></li><li itemprop="itemListElement" itemscope="" itemtype="http://schema.org/ListItem"><a itemprop="url" href="http://www.jabong.com/men/clothing/">Clothing</a></li><li itemprop="itemListElement" itemscope="" itemtype="http://schema.org/ListItem"><a itemprop="url" href="http://www.jabong.com/men/clothing/trousers/">Trousers</a></li><li itemprop="itemListElement" itemscope="" itemtype="http://schema.org/ListItem"><a itemprop="url" href="http://www.jabong.com/men/clothing/trousers/casual-trousers/">Casual Trousers</a></li></ol>\'', 'discount': ['(-20%)'], 'id': '5949635e52ab721620f392ff'}, {'product_name': ['Black Solid Slim Fit Formal Trouser'], 'description': ['\n'], 'url': 'http://www.jabong.com/John_Player-Black-Solid-Slim-Fit-Formal-Trouser-300076981.html?pos=2&cid=JO423MA95BKVINDFAS', 'product_brand': ['John Players'], 'product_title': ['John Players '], 'images': ['http://static2.jassets.com/p/John-Players-Black-Solid-Slim-Fit-Formal-Trouser-2961-189670003-1-pdp_slider_m.webp', 'http://static1.jabong.com/live/images/img1x1.png', 'http://static1.jabong.com/live/images/img1x1.png', 'http://static1.jabong.com/live/images/img1x1.png', 'http://static1.jabong.com/live/images/img1x1.png', 'http://static1.jabong.com/live/images/img1x1.png', 'http://static1.jabong.com/live/images/img1x1.png', 'http://static1.jabong.com/live/images/zoom.png', 'http://static1.jabong.com/live/images/zoom.png', 'http://static1.jabong.com/live/images/zoom.png', 'http://static1.jabong.com/live/images/zoom.png', 'http://static1.jabong.com/live/images/zoom.png', 'http://static1.jabong.com/live/images/zoom.png', 'http://static1.jabong.com/live/images/zoom.png'], 'mrp': ['1999'], 'price': ['1000'], 'specifications': 'b\'<ul class="prod-main-wrapper"><li>FabricBlended</li><li>FitSlim</li><li>ColorBlack</li><li>Wash CareMachine Wash, Do Not Bleach, Do Not Tumble Dry, Cool Iron, Dry Clean</li><li>StyleSolid</li><li>SKUJO423MA95BKVINDFAS</li><li class="authorized-brand">AuthorizationJohn Players authorized online sales partner. <div class="brand-authorization"><a href="javascript:void()" class="authorized-link" target="_blank" id="certificate">View Certificate</a></div></li></ul> \'', 'selling_price': ['1000'], 'breadcrumb': 'b\'<ol itemscope="" itemtype="http://schema.org/BreadcrumbList" class="breadcrumb"><li itemprop="itemListElement" itemscope="" itemtype="http://schema.org/ListItem"><a itemprop="url" href="http://www.jabong.com//">Home</a></li><li itemprop="itemListElement" itemscope="" itemtype="http://schema.org/ListItem"><a itemprop="url" href="http://www.jabong.com/men/">Men</a></li><li itemprop="itemListElement" itemscope="" itemtype="http://schema.org/ListItem"><a itemprop="url" href="http://www.jabong.com/men/clothing/">Clothing</a></li><li itemprop="itemListElement" itemscope="" itemtype="http://schema.org/ListItem"><a itemprop="url" href="http://www.jabong.com/men/clothing/trousers/">Trousers</a></li><li itemprop="itemListElement" itemscope="" itemtype="http://schema.org/ListItem"><a itemprop="url" href="http://www.jabong.com/men/clothing/trousers/formal-trousers/">Formal Trousers</a></li></ol>\'', 'discount': ['(-50%)'], 'id': '5949638252ab721620f39300'}, {'product_name': ['Orange Checked Regular Fit Casual Shirt'], 'description': [], 'url': 'http://www.jabong.com/Tommy_Hilfiger-Orange-Checked-Regular-Fit-Casual-Shirt-300074043.html?pos=3&cid=TO348MA16JACINDFAS', 'product_brand': ['Tommy Hilfiger'], 'product_title': ['Tommy Hilfiger '], 'images': ['http://static2.jassets.com/p/Tommy-Hilfiger-Orange-Checked-Regular-Fit-Casual-Shirt-1959-340470003-1-pdp_slider_m.webp', 'http://static1.jabong.com/live/images/img1x1.png', 'http://static1.jabong.com/live/images/img1x1.png', 'http://static1.jabong.com/live/images/img1x1.png', 'http://static1.jabong.com/live/images/img1x1.png', 'http://static1.jabong.com/live/images/img1x1.png', 'http://static1.jabong.com/live/images/zoom.png', 'http://static1.jabong.com/live/images/zoom.png', 'http://static1.jabong.com/live/images/zoom.png', 'http://static1.jabong.com/live/images/zoom.png', 'http://static1.jabong.com/live/images/zoom.png', 'http://static1.jabong.com/live/images/zoom.png'], 'mrp': ['4299'], 'price': ['3226'], 'specifications': 'b\'<ul class="prod-main-wrapper"><li>FitRegular</li><li>ColorOrange</li><li>SleevesFull Sleeves</li><li>Wash CareMachine Wash, Do Not Bleach, Do Not Tumble Dry, Cool Iron, Dry Clean</li><li>FabricCotton</li><li>StyleChecked</li><li>SKUTO348MA16JACINDFAS</li><li>Model StatsModel is wearing size M and his height is 6\\\'0", chest 37" and waist 32".</li><li class="authorized-brand">AuthorizationTommy Hilfiger authorized online sales partner. <div class="brand-authorization"><a href="javascript:void()" class="authorized-link" target="_blank" id="certificate">View Certificate</a></div></li></ul> \'', 'selling_price': ['3226'], 'breadcrumb': 'b\'<ol itemscope="" itemtype="http://schema.org/BreadcrumbList" class="breadcrumb"><li itemprop="itemListElement" itemscope="" itemtype="http://schema.org/ListItem"><a itemprop="url" href="http://www.jabong.com//">Home</a></li><li itemprop="itemListElement" itemscope="" itemtype="http://schema.org/ListItem"><a itemprop="url" href="http://www.jabong.com/men/">Men</a></li><li itemprop="itemListElement" itemscope="" itemtype="http://schema.org/ListItem"><a itemprop="url" href="http://www.jabong.com/men/clothing/">Clothing</a></li><li itemprop="itemListElement" itemscope="" itemtype="http://schema.org/ListItem"><a itemprop="url" href="http://www.jabong.com/men/clothing/shirts/">Shirts</a></li><li itemprop="itemListElement" itemscope="" itemtype="http://schema.org/ListItem"><a itemprop="url" href="http://www.jabong.com/men/clothing/shirts/casual-shirts/">Casual Shirts</a></li></ol>\'', 'discount': ['(-25%)'], 'id': '594963a452ab721620f39301'}, {'product_name': ['Pink Solid Slim Fit Casual Shirt'], 'description': ['\n'], 'url': 'http://www.jabong.com/John_Player-Pink-Solid-Slim-Fit-Casual-Shirt-300082745.html?pos=4&cid=JO423MA16QDSINDFAS', 'product_brand': ['John Players'], 'product_title': ['John Players '], 'images': ['http://static2.jassets.com/p/John-Players-Pink-Solid-Slim-Fit-Casual-Shirt-9288-547280003-1-pdp_slider_m.webp', 'http://static1.jabong.com/live/images/img1x1.png', 'http://static1.jabong.com/live/images/img1x1.png', 'http://static1.jabong.com/live/images/img1x1.png', 'http://static1.jabong.com/live/images/img1x1.png', 'http://static1.jabong.com/live/images/img1x1.png', 'http://static1.jabong.com/live/images/zoom.png', 'http://static1.jabong.com/live/images/zoom.png', 'http://static1.jabong.com/live/images/zoom.png', 'http://static1.jabong.com/live/images/zoom.png', 'http://static1.jabong.com/live/images/zoom.png', 'http://static1.jabong.com/live/images/zoom.png'], 'mrp': ['1799'], 'price': ['900'], 'specifications': 'b\'<ul class="prod-main-wrapper"><li>FitSlim</li><li>ColorPink</li><li>SleevesFull Sleeves</li><li>Wash CareMachine Wash, Do Not Bleach, Do Not Tumble Dry, Cool Iron, Dry Clean</li><li>FabricCotton</li><li>StyleSolid</li><li>SKUJO423MA16QDSINDFAS</li><li>Model StatsModel is wearing size 40 and his height is 6\\\'1", chest 36" and waist 32".</li><li class="authorized-brand">AuthorizationJohn Players authorized online sales partner. <div class="brand-authorization"><a href="javascript:void()" class="authorized-link" target="_blank" id="certificate">View Certificate</a></div></li></ul> \'', 'selling_price': ['900'], 'breadcrumb': 'b\'<ol itemscope="" itemtype="http://schema.org/BreadcrumbList" class="breadcrumb"><li itemprop="itemListElement" itemscope="" itemtype="http://schema.org/ListItem"><a itemprop="url" href="http://www.jabong.com//">Home</a></li><li itemprop="itemListElement" itemscope="" itemtype="http://schema.org/ListItem"><a itemprop="url" href="http://www.jabong.com/men/">Men</a></li><li itemprop="itemListElement" itemscope="" itemtype="http://schema.org/ListItem"><a itemprop="url" href="http://www.jabong.com/men/clothing/">Clothing</a></li><li itemprop="itemListElement" itemscope="" itemtype="http://schema.org/ListItem"><a itemprop="url" href="http://www.jabong.com/men/clothing/shirts/">Shirts</a></li><li itemprop="itemListElement" itemscope="" itemtype="http://schema.org/ListItem"><a itemprop="url" href="http://www.jabong.com/men/clothing/shirts/casual-shirts/">Casual Shirts</a></li></ol>\'', 'discount': ['(-50%)'], 'id': '594963b852ab721620f39302'}, {'product_name': ['Club Black Training Shorts'], 'description': [], 'url': 'http://www.jabong.com/Adidas-Club-Black-Training-Shorts-300074465.html?pos=5&cid=AD004MA47YDRINDFAS', 'product_brand': ['Adidas'], 'product_title': ['Adidas '], 'images': ['http://static2.jassets.com/p/Adidas-Club-Black-Training-Shorts-7710-564470003-1-pdp_slider_m.webp', 'http://static1.jabong.com/live/images/img1x1.png', 'http://static1.jabong.com/live/images/img1x1.png', 'http://static1.jabong.com/live/images/img1x1.png', 'http://static1.jabong.com/live/images/img1x1.png', 'http://static1.jabong.com/live/images/img1x1.png', 'http://static1.jabong.com/live/images/img1x1.png', 'http://static1.jabong.com/live/images/zoom.png', 'http://static1.jabong.com/live/images/zoom.png', 'http://static1.jabong.com/live/images/zoom.png', 'http://static1.jabong.com/live/images/zoom.png', 'http://static1.jabong.com/live/images/zoom.png', 'http://static1.jabong.com/live/images/zoom.png', 'http://static1.jabong.com/live/images/zoom.png'], 'mrp': ['1899'], 'price': ['1299'], 'specifications': 'b\'<ul class="prod-main-wrapper"><li>FabricPolyester</li><li>FitRegular</li><li>ColorBlack</li><li>StyleSolid</li><li>SKUAD004MA47YDRINDFAS</li><li>Model StatsModel is wearing size M and his height is 6\\\'1", chest 40" and waist 32".</li><li class="authorized-brand">AuthorizationAdidas authorized online sales partner. <div class="brand-authorization"><a href="javascript:void()" class="authorized-link" target="_blank" id="certificate">View Certificate</a></div></li></ul> \'', 'selling_price': ['1299'], 'breadcrumb': 'b\'<ol itemscope="" itemtype="http://schema.org/BreadcrumbList" class="breadcrumb"><li itemprop="itemListElement" itemscope="" itemtype="http://schema.org/ListItem"><a itemprop="url" href="http://www.jabong.com//">Home</a></li><li itemprop="itemListElement" itemscope="" itemtype="http://schema.org/ListItem"><a itemprop="url" href="http://www.jabong.com/men/">Men</a></li><li itemprop="itemListElement" itemscope="" itemtype="http://schema.org/ListItem"><a itemprop="url" href="http://www.jabong.com/men/clothing/">Clothing</a></li><li itemprop="itemListElement" itemscope="" itemtype="http://schema.org/ListItem"><a itemprop="url" href="http://www.jabong.com/men/clothing/shorts-34ths/">Shorts & 3/4ths</a></li></ol>\'', 'discount': ['(-32%)'], '_id': '594963c052ab721620f39303'}] if website_data!=[]: data = website_data return self.render_to_response({ "page": "recent", "data": data })

110.113744

5,189

0.685317

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69,702

4.778325

0.065928

0.043259

0.064889

0.081111

0.868807

0.852048

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0.822844

0.789842

0.77907

0

0.027989

0.097859

69,702

633

5,190

110.113744

0.713141

0.126754

0

0.401848

0

0.055427

0.542182

0.071956

0

0.00158

0

1

0.036952

false

0

0.025404

0.006928

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8

552f90ce9525e9d8196664dbeb5ec9bf93c023a1

497,821

py

Python

tests/examples/minlplib/ringpack_20_1.py

ouyang-w-19/decogo

52546480e49776251d4d27856e18a46f40c824a1

[ "MIT" ]

2

2021-07-03T13:19:10.000Z

2022-02-06T10:48:13.000Z

tests/examples/minlplib/ringpack_20_1.py

ouyang-w-19/decogo

52546480e49776251d4d27856e18a46f40c824a1

[ "MIT" ]

1

2021-07-04T14:52:14.000Z

2021-07-15T10:17:11.000Z

tests/examples/minlplib/ringpack_20_1.py

ouyang-w-19/decogo

52546480e49776251d4d27856e18a46f40c824a1

[ "MIT" ]

null

# MINLP written by GAMS Convert at 04/21/18 13:54:02 # # Equation counts # Total E G L N X C B # 2548 1 2182 365 0 0 0 0 # # Variable counts # x b i s1s s2s sc si # Total cont binary integer sos1 sos2 scont sint # 216 41 175 0 0 0 0 0 # FX 0 0 0 0 0 0 0 0 # # Nonzero counts # Total const NL DLL # 14598 5250 9348 0 # # Reformulation has removed 1 variable and 1 equation from pyomo.environ import * model = m = ConcreteModel() m.b2 = Var(within=Binary,bounds=(0,1),initialize=0) m.b3 = Var(within=Binary,bounds=(0,1),initialize=0) m.b4 = Var(within=Binary,bounds=(0,1),initialize=0) m.b5 = Var(within=Binary,bounds=(0,1),initialize=0) m.b6 = Var(within=Binary,bounds=(0,1),initialize=0) m.b7 = Var(within=Binary,bounds=(0,1),initialize=0) m.b8 = Var(within=Binary,bounds=(0,1),initialize=0) m.b9 = Var(within=Binary,bounds=(0,1),initialize=0) m.b10 = Var(within=Binary,bounds=(0,1),initialize=0) m.b11 = Var(within=Binary,bounds=(0,1),initialize=0) m.b12 = Var(within=Binary,bounds=(0,1),initialize=0) m.b13 = Var(within=Binary,bounds=(0,1),initialize=0) m.b14 = Var(within=Binary,bounds=(0,1),initialize=0) m.b15 = Var(within=Binary,bounds=(0,1),initialize=0) m.b16 = Var(within=Binary,bounds=(0,1),initialize=0) m.b17 = Var(within=Binary,bounds=(0,1),initialize=0) m.b18 = Var(within=Binary,bounds=(0,1),initialize=0) m.b19 = Var(within=Binary,bounds=(0,1),initialize=0) m.b20 = Var(within=Binary,bounds=(0,1),initialize=0) m.b21 = Var(within=Binary,bounds=(0,1),initialize=0) m.b22 = Var(within=Binary,bounds=(0,1),initialize=0) m.b23 = Var(within=Binary,bounds=(0,1),initialize=0) m.b24 = Var(within=Binary,bounds=(0,1),initialize=0) m.b25 = Var(within=Binary,bounds=(0,1),initialize=0) m.b26 = Var(within=Binary,bounds=(0,1),initialize=0) m.b27 = Var(within=Binary,bounds=(0,1),initialize=0) m.b28 = Var(within=Binary,bounds=(0,1),initialize=0) m.b29 = Var(within=Binary,bounds=(0,1),initialize=0) m.b30 = Var(within=Binary,bounds=(0,1),initialize=0) m.b31 = Var(within=Binary,bounds=(0,1),initialize=0) m.b32 = Var(within=Binary,bounds=(0,1),initialize=0) m.b33 = Var(within=Binary,bounds=(0,1),initialize=0) m.b34 = Var(within=Binary,bounds=(0,1),initialize=0) m.b35 = Var(within=Binary,bounds=(0,1),initialize=0) m.b36 = Var(within=Binary,bounds=(0,1),initialize=0) m.b37 = Var(within=Binary,bounds=(0,1),initialize=0) m.b38 = Var(within=Binary,bounds=(0,1),initialize=0) m.b39 = Var(within=Binary,bounds=(0,1),initialize=0) m.b40 = Var(within=Binary,bounds=(0,1),initialize=0) m.b41 = Var(within=Binary,bounds=(0,1),initialize=0) m.b42 = Var(within=Binary,bounds=(0,1),initialize=0) m.b43 = Var(within=Binary,bounds=(0,1),initialize=0) m.b44 = Var(within=Binary,bounds=(0,1),initialize=0) m.b45 = Var(within=Binary,bounds=(0,1),initialize=0) m.b46 = Var(within=Binary,bounds=(0,1),initialize=0) m.b47 = Var(within=Binary,bounds=(0,1),initialize=0) m.b48 = Var(within=Binary,bounds=(0,1),initialize=0) m.b49 = Var(within=Binary,bounds=(0,1),initialize=0) m.b50 = Var(within=Binary,bounds=(0,1),initialize=0) m.b51 = Var(within=Binary,bounds=(0,1),initialize=0) m.b52 = Var(within=Binary,bounds=(0,1),initialize=0) m.b53 = Var(within=Binary,bounds=(0,1),initialize=0) m.b54 = Var(within=Binary,bounds=(0,1),initialize=0) m.b55 = Var(within=Binary,bounds=(0,1),initialize=0) m.b56 = Var(within=Binary,bounds=(0,1),initialize=0) m.b57 = Var(within=Binary,bounds=(0,1),initialize=0) m.b58 = Var(within=Binary,bounds=(0,1),initialize=0) m.b59 = Var(within=Binary,bounds=(0,1),initialize=0) m.b60 = Var(within=Binary,bounds=(0,1),initialize=0) m.b61 = Var(within=Binary,bounds=(0,1),initialize=0) m.b62 = Var(within=Binary,bounds=(0,1),initialize=0) m.b63 = Var(within=Binary,bounds=(0,1),initialize=0) m.b64 = Var(within=Binary,bounds=(0,1),initialize=0) m.b65 = Var(within=Binary,bounds=(0,1),initialize=0) m.b66 = Var(within=Binary,bounds=(0,1),initialize=0) m.b67 = Var(within=Binary,bounds=(0,1),initialize=0) m.b68 = Var(within=Binary,bounds=(0,1),initialize=0) m.b69 = Var(within=Binary,bounds=(0,1),initialize=0) m.b70 = Var(within=Binary,bounds=(0,1),initialize=0) m.b71 = Var(within=Binary,bounds=(0,1),initialize=0) m.b72 = Var(within=Binary,bounds=(0,1),initialize=0) m.b73 = Var(within=Binary,bounds=(0,1),initialize=0) m.b74 = Var(within=Binary,bounds=(0,1),initialize=0) m.b75 = Var(within=Binary,bounds=(0,1),initialize=0) m.b76 = Var(within=Binary,bounds=(0,1),initialize=0) m.b77 = Var(within=Binary,bounds=(0,1),initialize=0) m.b78 = Var(within=Binary,bounds=(0,1),initialize=0) m.b79 = Var(within=Binary,bounds=(0,1),initialize=0) m.b80 = Var(within=Binary,bounds=(0,1),initialize=0) m.b81 = Var(within=Binary,bounds=(0,1),initialize=0) m.b82 = Var(within=Binary,bounds=(0,1),initialize=0) m.b83 = Var(within=Binary,bounds=(0,1),initialize=0) m.b84 = Var(within=Binary,bounds=(0,1),initialize=0) m.b85 = Var(within=Binary,bounds=(0,1),initialize=0) m.b86 = Var(within=Binary,bounds=(0,1),initialize=0) m.b87 = Var(within=Binary,bounds=(0,1),initialize=0) m.b88 = Var(within=Binary,bounds=(0,1),initialize=0) m.b89 = Var(within=Binary,bounds=(0,1),initialize=0) m.b90 = Var(within=Binary,bounds=(0,1),initialize=0) m.b91 = Var(within=Binary,bounds=(0,1),initialize=0) m.b92 = Var(within=Binary,bounds=(0,1),initialize=0) m.b93 = Var(within=Binary,bounds=(0,1),initialize=0) m.b94 = Var(within=Binary,bounds=(0,1),initialize=0) m.b95 = Var(within=Binary,bounds=(0,1),initialize=0) m.b96 = Var(within=Binary,bounds=(0,1),initialize=0) m.b97 = Var(within=Binary,bounds=(0,1),initialize=0) m.b98 = Var(within=Binary,bounds=(0,1),initialize=0) m.b99 = Var(within=Binary,bounds=(0,1),initialize=0) m.b100 = Var(within=Binary,bounds=(0,1),initialize=0) m.b101 = Var(within=Binary,bounds=(0,1),initialize=0) m.b102 = Var(within=Binary,bounds=(0,1),initialize=0) m.b103 = Var(within=Binary,bounds=(0,1),initialize=0) m.b104 = Var(within=Binary,bounds=(0,1),initialize=0) m.b105 = Var(within=Binary,bounds=(0,1),initialize=0) m.b106 = Var(within=Binary,bounds=(0,1),initialize=0) m.b107 = Var(within=Binary,bounds=(0,1),initialize=0) m.b108 = Var(within=Binary,bounds=(0,1),initialize=0) m.b109 = Var(within=Binary,bounds=(0,1),initialize=0) m.b110 = Var(within=Binary,bounds=(0,1),initialize=0) m.b111 = Var(within=Binary,bounds=(0,1),initialize=0) m.b112 = Var(within=Binary,bounds=(0,1),initialize=0) m.b113 = Var(within=Binary,bounds=(0,1),initialize=0) m.b114 = Var(within=Binary,bounds=(0,1),initialize=0) m.b115 = Var(within=Binary,bounds=(0,1),initialize=0) m.b116 = Var(within=Binary,bounds=(0,1),initialize=0) m.b117 = Var(within=Binary,bounds=(0,1),initialize=0) m.b118 = Var(within=Binary,bounds=(0,1),initialize=0) m.b119 = Var(within=Binary,bounds=(0,1),initialize=0) m.b120 = Var(within=Binary,bounds=(0,1),initialize=0) m.b121 = Var(within=Binary,bounds=(0,1),initialize=0) m.b122 = Var(within=Binary,bounds=(0,1),initialize=0) m.b123 = Var(within=Binary,bounds=(0,1),initialize=0) m.b124 = Var(within=Binary,bounds=(0,1),initialize=0) m.b125 = Var(within=Binary,bounds=(0,1),initialize=0) m.b126 = Var(within=Binary,bounds=(0,1),initialize=0) m.b127 = Var(within=Binary,bounds=(0,1),initialize=0) m.b128 = Var(within=Binary,bounds=(0,1),initialize=0) m.b129 = Var(within=Binary,bounds=(0,1),initialize=0) m.b130 = Var(within=Binary,bounds=(0,1),initialize=0) m.b131 = Var(within=Binary,bounds=(0,1),initialize=0) m.b132 = Var(within=Binary,bounds=(0,1),initialize=0) m.b133 = Var(within=Binary,bounds=(0,1),initialize=0) m.b134 = Var(within=Binary,bounds=(0,1),initialize=0) m.b135 = Var(within=Binary,bounds=(0,1),initialize=0) m.b136 = Var(within=Binary,bounds=(0,1),initialize=0) m.b137 = Var(within=Binary,bounds=(0,1),initialize=0) m.b138 = Var(within=Binary,bounds=(0,1),initialize=0) m.b139 = Var(within=Binary,bounds=(0,1),initialize=0) m.b140 = Var(within=Binary,bounds=(0,1),initialize=0) m.b141 = Var(within=Binary,bounds=(0,1),initialize=0) m.b142 = Var(within=Binary,bounds=(0,1),initialize=0) m.b143 = Var(within=Binary,bounds=(0,1),initialize=0) m.b144 = Var(within=Binary,bounds=(0,1),initialize=0) m.b145 = Var(within=Binary,bounds=(0,1),initialize=0) m.b146 = Var(within=Binary,bounds=(0,1),initialize=0) m.b147 = Var(within=Binary,bounds=(0,1),initialize=0) m.b148 = Var(within=Binary,bounds=(0,1),initialize=0) m.b149 = Var(within=Binary,bounds=(0,1),initialize=0) m.b150 = Var(within=Binary,bounds=(0,1),initialize=0) m.b151 = Var(within=Binary,bounds=(0,1),initialize=0) m.b152 = Var(within=Binary,bounds=(0,1),initialize=0) m.b153 = Var(within=Binary,bounds=(0,1),initialize=0) m.b154 = Var(within=Binary,bounds=(0,1),initialize=0) m.b155 = Var(within=Binary,bounds=(0,1),initialize=0) m.b156 = Var(within=Binary,bounds=(0,1),initialize=0) m.b157 = Var(within=Binary,bounds=(0,1),initialize=0) m.b158 = Var(within=Binary,bounds=(0,1),initialize=0) m.b159 = Var(within=Binary,bounds=(0,1),initialize=0) m.b160 = Var(within=Binary,bounds=(0,1),initialize=0) m.b161 = Var(within=Binary,bounds=(0,1),initialize=0) m.b162 = Var(within=Binary,bounds=(0,1),initialize=0) m.b163 = Var(within=Binary,bounds=(0,1),initialize=0) m.b164 = Var(within=Binary,bounds=(0,1),initialize=0) m.b165 = Var(within=Binary,bounds=(0,1),initialize=0) m.b166 = Var(within=Binary,bounds=(0,1),initialize=0) m.b167 = Var(within=Binary,bounds=(0,1),initialize=0) m.b168 = Var(within=Binary,bounds=(0,1),initialize=0) m.b169 = Var(within=Binary,bounds=(0,1),initialize=0) m.b170 = Var(within=Binary,bounds=(0,1),initialize=0) m.b171 = Var(within=Binary,bounds=(0,1),initialize=0) m.b172 = Var(within=Binary,bounds=(0,1),initialize=0) m.b173 = Var(within=Binary,bounds=(0,1),initialize=0) m.b174 = Var(within=Binary,bounds=(0,1),initialize=0) m.b175 = Var(within=Binary,bounds=(0,1),initialize=0) m.b176 = Var(within=Binary,bounds=(0,1),initialize=0) m.x177 = Var(within=Reals,bounds=(0.599362,9.400638),initialize=0.599362) m.x178 = Var(within=Reals,bounds=(0.599362,9.400638),initialize=0.599362) m.x179 = Var(within=Reals,bounds=(0.599362,9.400638),initialize=0.599362) m.x180 = Var(within=Reals,bounds=(0.599362,9.400638),initialize=0.599362) m.x181 = Var(within=Reals,bounds=(0.599362,9.400638),initialize=0.599362) m.x182 = Var(within=Reals,bounds=(0.599362,9.400638),initialize=0.599362) m.x183 = Var(within=Reals,bounds=(0.599362,9.400638),initialize=0.599362) m.x184 = Var(within=Reals,bounds=(0.599362,9.400638),initialize=0.599362) m.x185 = Var(within=Reals,bounds=(0.599362,9.400638),initialize=0.599362) m.x186 = Var(within=Reals,bounds=(0.599362,9.400638),initialize=0.599362) m.x187 = Var(within=Reals,bounds=(0.599362,9.400638),initialize=0.599362) m.x188 = Var(within=Reals,bounds=(0.599362,9.400638),initialize=0.599362) m.x189 = Var(within=Reals,bounds=(0.342553,9.657447),initialize=0.342553) m.x190 = Var(within=Reals,bounds=(0.342553,9.657447),initialize=0.342553) m.x191 = Var(within=Reals,bounds=(0.342553,9.657447),initialize=0.342553) m.x192 = Var(within=Reals,bounds=(0.342553,9.657447),initialize=0.342553) m.x193 = Var(within=Reals,bounds=(0.342553,9.657447),initialize=0.342553) m.x194 = Var(within=Reals,bounds=(0.342553,9.657447),initialize=0.342553) m.x195 = Var(within=Reals,bounds=(0.342553,9.657447),initialize=0.342553) m.x196 = Var(within=Reals,bounds=(0.342553,9.657447),initialize=0.342553) m.x197 = Var(within=Reals,bounds=(0.342553,9.657447),initialize=0.342553) m.x198 = Var(within=Reals,bounds=(0.342553,9.657447),initialize=0.342553) m.x199 = Var(within=Reals,bounds=(0.85617,9.14383),initialize=0.85617) m.x200 = Var(within=Reals,bounds=(0.85617,9.14383),initialize=0.85617) m.x201 = Var(within=Reals,bounds=(0.85617,9.14383),initialize=0.85617) m.x202 = Var(within=Reals,bounds=(0.85617,9.14383),initialize=0.85617) m.x203 = Var(within=Reals,bounds=(0.85617,9.14383),initialize=0.85617) m.x204 = Var(within=Reals,bounds=(0.85617,9.14383),initialize=0.85617) m.x205 = Var(within=Reals,bounds=(0.85617,9.14383),initialize=0.85617) m.x206 = Var(within=Reals,bounds=(0.85617,9.14383),initialize=0.85617) m.x207 = Var(within=Reals,bounds=(1.52426,8.47574),initialize=1.52426) m.x208 = Var(within=Reals,bounds=(1.52426,8.47574),initialize=1.52426) m.x209 = Var(within=Reals,bounds=(1.52426,8.47574),initialize=1.52426) m.x210 = Var(within=Reals,bounds=(1.52426,8.47574),initialize=1.52426) m.x211 = Var(within=Reals,bounds=(1.52426,8.47574),initialize=1.52426) m.x212 = Var(within=Reals,bounds=(1.52426,8.47574),initialize=1.52426) m.x213 = Var(within=Reals,bounds=(1.93213,8.06787),initialize=1.93213) m.x214 = Var(within=Reals,bounds=(1.93213,8.06787),initialize=1.93213) m.x215 = Var(within=Reals,bounds=(1.93213,8.06787),initialize=1.93213) m.x216 = Var(within=Reals,bounds=(1.93213,8.06787),initialize=1.93213) m.obj = Objective(expr= - 0.287403606378025*m.b2 - 0.287403606378025*m.b3 - 0.287403606378025*m.b4 - 0.287403606378025*m.b5 - 0.287403606378025*m.b6 - 0.287403606378025*m.b7 - 0.0946538180425961*m.b8 - 0.0946538180425961*m.b9 - 0.0946538180425961*m.b10 - 0.0946538180425961*m.b11 - 0.0946538180425961*m.b12 - 0.584516458645496*m.b13 - 0.584516458645496*m.b14 - 0.584516458645496*m.b15 - 0.584516458645496*m.b16 - 1.29409755392315*m.b17 - 1.29409755392315*m.b18 - 1.29409755392315*m.b19 - 2.08582176557546*m.b20 - 2.08582176557546*m.b21 - 2.08582176557546*m.b22 - 2.08582176557546*m.b23 - 2.08582176557546*m.b24 - 2.08582176557546*m.b25 - 2.08582176557546*m.b26 - 2.08582176557546*m.b27 - 2.08582176557546*m.b28 - 2.08582176557546*m.b29 - 2.08582176557546*m.b30 - 2.08582176557546*m.b31 - 2.08582176557546*m.b32 - 2.08582176557546*m.b33 - 2.08582176557546*m.b34 - 2.08582176557546*m.b35 - 2.08582176557546*m.b36 - 2.08582176557546*m.b37 - 2.08582176557546*m.b38 - 2.08582176557546*m.b39 - 2.08582176557546*m.b40 - 2.08582176557546*m.b41 - 2.08582176557546*m.b42 - 2.08582176557546*m.b43 - 2.08582176557546*m.b44 - 2.08582176557546*m.b45 - 2.08582176557546*m.b46 - 2.08582176557546*m.b47 - 2.08582176557546*m.b48 - 2.08582176557546*m.b49 - 2.08582176557546*m.b50 - 2.08582176557546*m.b51 - 2.08582176557546*m.b52 - 2.08582176557546*m.b53 - 2.08582176557546*m.b54 - 2.08582176557546*m.b55 - 2.08582176557546*m.b56 - 2.08582176557546*m.b57 - 2.08582176557546*m.b58 - 2.08582176557546*m.b59 - 2.08582176557546*m.b60 - 2.08582176557546*m.b61 - 2.08582176557546*m.b62 - 2.08582176557546*m.b63 - 2.08582176557546*m.b64 - 2.08582176557546*m.b65 - 2.08582176557546*m.b66 - 2.08582176557546*m.b67 - 2.08582176557546*m.b68 - 2.08582176557546*m.b69 - 2.08582176557546*m.b70 - 2.08582176557546*m.b71 - 2.08582176557546*m.b72 - 2.08582176557546*m.b73 - 2.08582176557546*m.b74 - 2.08582176557546*m.b75 - 2.08582176557546*m.b76 - 2.08582176557546*m.b77 - 2.08582176557546*m.b78 - 2.08582176557546*m.b79 - 2.08582176557546*m.b80 - 2.08582176557546*m.b81 - 2.08582176557546*m.b82 - 2.08582176557546*m.b83 - 2.08582176557546*m.b84 - 2.08582176557546*m.b85 - 2.08582176557546*m.b86 - 2.08582176557546*m.b87 - 2.08582176557546*m.b88 - 2.08582176557546*m.b89 - 2.08582176557546*m.b90 - 2.08582176557546*m.b91 - 2.08582176557546*m.b92 - 2.08582176557546*m.b93 - 2.08582176557546*m.b94 - 2.08582176557546*m.b95 - 2.08582176557546*m.b96 - 2.08582176557546*m.b97 - 2.08582176557546*m.b98 - 2.08582176557546*m.b99 - 2.08582176557546*m.b100 - 2.08582176557546*m.b101 - 2.08582176557546*m.b102 - 2.08582176557546*m.b103 - 2.08582176557546*m.b104 - 2.08582176557546*m.b105 - 2.08582176557546*m.b106 - 2.08582176557546*m.b107 - 2.08582176557546*m.b108 - 2.08582176557546*m.b109 - 2.08582176557546*m.b110 - 2.08582176557546*m.b111 - 2.08582176557546*m.b112 - 2.08582176557546*m.b113 - 2.08582176557546*m.b114 - 2.08582176557546*m.b115 - 2.08582176557546*m.b116 - 2.08582176557546*m.b117 - 2.08582176557546*m.b118 - 2.08582176557546*m.b119 - 2.08582176557546*m.b120 - 2.08582176557546*m.b121 - 2.08582176557546*m.b122 - 2.08582176557546*m.b123 - 2.08582176557546*m.b124 - 2.08582176557546*m.b125 - 2.08582176557546*m.b126 - 2.08582176557546*m.b127 - 2.08582176557546*m.b128 - 2.08582176557546*m.b129 - 2.08582176557546*m.b130 - 2.08582176557546*m.b131 - 2.08582176557546*m.b132 - 2.08582176557546*m.b133 - 2.08582176557546*m.b134 - 2.08582176557546*m.b135 - 2.08582176557546*m.b136 - 2.08582176557546*m.b137 - 2.08582176557546*m.b138 - 2.08582176557546*m.b139 - 2.08582176557546*m.b140 - 2.08582176557546*m.b141 - 2.08582176557546*m.b142 - 2.08582176557546*m.b143 - 2.08582176557546*m.b144 - 2.08582176557546*m.b145 - 2.08582176557546*m.b146 - 2.08582176557546*m.b147 - 2.08582176557546*m.b148 - 2.08582176557546*m.b149 - 2.08582176557546*m.b150 - 2.08582176557546*m.b151 - 2.08582176557546*m.b152 - 2.08582176557546*m.b153 - 2.08582176557546*m.b154 - 2.08582176557546*m.b155 - 2.08582176557546*m.b156 - 2.08582176557546*m.b157 - 2.08582176557546*m.b158 - 2.08582176557546*m.b159 - 2.08582176557546*m.b160 - 2.08582176557546*m.b161 - 2.08582176557546*m.b162 - 2.08582176557546*m.b163 - 2.08582176557546*m.b164 - 2.08582176557546*m.b165 - 2.08582176557546*m.b166 - 2.08582176557546*m.b167 - 2.08582176557546*m.b168 - 2.08582176557546*m.b169 - 2.08582176557546*m.b170 - 2.08582176557546*m.b171 - 2.08582176557546*m.b172 - 2.08582176557546*m.b173 - 2.08582176557546*m.b174 - 2.08582176557546*m.b175 - 2.08582176557546*m.b176, sense=minimize) m.c2 = Constraint(expr=m.x177**2 + m.x178**2 + m.x179**2 + m.x180**2 - 2*m.x177*m.x179 - 2*m.x178*m.x180 - 1.436939228176*m.b2 - 1.436939228176*m.b3 >= -1.436939228176) m.c3 = Constraint(expr=m.x177**2 + m.x178**2 + m.x181**2 + m.x182**2 - 2*m.x177*m.x181 - 2*m.x178*m.x182 - 1.436939228176*m.b2 - 1.436939228176*m.b4 >= -1.436939228176) m.c4 = Constraint(expr=m.x177**2 + m.x178**2 + m.x183**2 + m.x184**2 - 2*m.x177*m.x183 - 2*m.x178*m.x184 - 1.436939228176*m.b2 - 1.436939228176*m.b5 >= -1.436939228176) m.c5 = Constraint(expr=m.x177**2 + m.x178**2 + m.x185**2 + m.x186**2 - 2*m.x177*m.x185 - 2*m.x178*m.x186 - 1.436939228176*m.b2 - 1.436939228176*m.b6 >= -1.436939228176) m.c6 = Constraint(expr=m.x177**2 + m.x178**2 + m.x187**2 + m.x188**2 - 2*m.x177*m.x187 - 2*m.x178*m.x188 - 1.436939228176*m.b2 - 1.436939228176*m.b7 >= -1.436939228176) m.c7 = Constraint(expr=m.x177**2 + m.x178**2 + m.x189**2 + m.x190**2 - 2*m.x177*m.x189 - 2*m.x178*m.x190 - 0.887203867225*m.b2 - 0.887203867225*m.b8 >= -0.887203867225) m.c8 = Constraint(expr=m.x177**2 + m.x178**2 + m.x191**2 + m.x192**2 - 2*m.x178*m.x192 - 2*m.x177*m.x191 - 0.887203867225*m.b2 - 0.887203867225*m.b9 >= -0.887203867225) m.c9 = Constraint(expr=m.x177**2 + m.x178**2 + m.x193**2 + m.x194**2 - 2*m.x178*m.x194 - 2*m.x177*m.x193 - 0.887203867225*m.b2 - 0.887203867225*m.b10 >= -0.887203867225) m.c10 = Constraint(expr=m.x177**2 + m.x178**2 + m.x195**2 + m.x196**2 - 2*m.x177*m.x195 - 2*m.x178*m.x196 - 0.887203867225*m.b2 - 0.887203867225*m.b11 >= -0.887203867225) m.c11 = Constraint(expr=m.x177**2 + m.x178**2 + m.x197**2 + m.x198**2 - 2*m.x177*m.x197 - 2*m.x178*m.x198 - 0.887203867225*m.b2 - 0.887203867225*m.b12 >= -0.887203867225) m.c12 = Constraint(expr=m.x177**2 + m.x178**2 + m.x199**2 + m.x200**2 - 2*m.x177*m.x199 - 2*m.x178*m.x200 - 2.118573403024*m.b2 - 2.118573403024*m.b13 >= -2.118573403024) m.c13 = Constraint(expr=m.x177**2 + m.x178**2 + m.x201**2 + m.x202**2 - 2*m.x178*m.x202 - 2*m.x177*m.x201 - 2.118573403024*m.b2 - 2.118573403024*m.b14 >= -2.118573403024) m.c14 = Constraint(expr=m.x177**2 + m.x178**2 + m.x203**2 + m.x204**2 - 2*m.x177*m.x203 - 2*m.x178*m.x204 - 2.118573403024*m.b2 - 2.118573403024*m.b15 >= -2.118573403024) m.c15 = Constraint(expr=m.x177**2 + m.x178**2 + m.x205**2 + m.x206**2 - 2*m.x178*m.x206 - 2*m.x177*m.x205 - 2.118573403024*m.b2 - 2.118573403024*m.b16 >= -2.118573403024) m.c16 = Constraint(expr=m.x177**2 + m.x178**2 + m.x207**2 + m.x208**2 - 2*m.x177*m.x207 - 2*m.x178*m.x208 - 4.509770398884*m.b2 - 4.509770398884*m.b17 >= -4.509770398884) m.c17 = Constraint(expr=m.x177**2 + m.x178**2 + m.x209**2 + m.x210**2 - 2*m.x178*m.x210 - 2*m.x177*m.x209 - 4.509770398884*m.b2 - 4.509770398884*m.b18 >= -4.509770398884) m.c18 = Constraint(expr=m.x177**2 + m.x178**2 + m.x211**2 + m.x212**2 - 2*m.x177*m.x211 - 2*m.x178*m.x212 - 4.509770398884*m.b2 - 4.509770398884*m.b19 >= -4.509770398884) m.c19 = Constraint(expr=m.x177**2 + m.x178**2 + m.x213**2 + m.x214**2 - 2*m.x177*m.x213 - 2*m.x178*m.x214 - 6.408451746064*m.b2 - 6.408451746064*m.b20 >= -6.408451746064) m.c20 = Constraint(expr=m.x177**2 + m.x178**2 + m.x215**2 + m.x216**2 - 2*m.x178*m.x216 - 2*m.x177*m.x215 - 6.408451746064*m.b2 - 6.408451746064*m.b21 >= -6.408451746064) m.c21 = Constraint(expr=m.x177**2 + m.x178**2 + m.x179**2 + m.x180**2 - 2*m.x177*m.x179 - 2*m.x178*m.x180 - 1.436939228176*m.b2 - 1.436939228176*m.b3 >= -1.436939228176) m.c22 = Constraint(expr=m.x179**2 + m.x180**2 + m.x181**2 + m.x182**2 - 2*m.x179*m.x181 - 2*m.x180*m.x182 - 1.436939228176*m.b3 - 1.436939228176*m.b4 >= -1.436939228176) m.c23 = Constraint(expr=m.x179**2 + m.x180**2 + m.x183**2 + m.x184**2 - 2*m.x179*m.x183 - 2*m.x180*m.x184 - 1.436939228176*m.b3 - 1.436939228176*m.b5 >= -1.436939228176) m.c24 = Constraint(expr=m.x179**2 + m.x180**2 + m.x185**2 + m.x186**2 - 2*m.x179*m.x185 - 2*m.x180*m.x186 - 1.436939228176*m.b3 - 1.436939228176*m.b6 >= -1.436939228176) m.c25 = Constraint(expr=m.x179**2 + m.x180**2 + m.x187**2 + m.x188**2 - 2*m.x179*m.x187 - 2*m.x180*m.x188 - 1.436939228176*m.b3 - 1.436939228176*m.b7 >= -1.436939228176) m.c26 = Constraint(expr=m.x179**2 + m.x180**2 + m.x189**2 + m.x190**2 - 2*m.x180*m.x190 - 2*m.x179*m.x189 - 0.887203867225*m.b3 - 0.887203867225*m.b8 >= -0.887203867225) m.c27 = Constraint(expr=m.x179**2 + m.x180**2 + m.x191**2 + m.x192**2 - 2*m.x180*m.x192 - 2*m.x179*m.x191 - 0.887203867225*m.b3 - 0.887203867225*m.b9 >= -0.887203867225) m.c28 = Constraint(expr=m.x179**2 + m.x180**2 + m.x193**2 + m.x194**2 - 2*m.x179*m.x193 - 2*m.x180*m.x194 - 0.887203867225*m.b3 - 0.887203867225*m.b10 >= -0.887203867225) m.c29 = Constraint(expr=m.x179**2 + m.x180**2 + m.x195**2 + m.x196**2 - 2*m.x180*m.x196 - 2*m.x179*m.x195 - 0.887203867225*m.b3 - 0.887203867225*m.b11 >= -0.887203867225) m.c30 = Constraint(expr=m.x179**2 + m.x180**2 + m.x197**2 + m.x198**2 - 2*m.x180*m.x198 - 2*m.x179*m.x197 - 0.887203867225*m.b3 - 0.887203867225*m.b12 >= -0.887203867225) m.c31 = Constraint(expr=m.x179**2 + m.x180**2 + m.x199**2 + m.x200**2 - 2*m.x180*m.x200 - 2*m.x179*m.x199 - 2.118573403024*m.b3 - 2.118573403024*m.b13 >= -2.118573403024) m.c32 = Constraint(expr=m.x179**2 + m.x180**2 + m.x201**2 + m.x202**2 - 2*m.x179*m.x201 - 2*m.x180*m.x202 - 2.118573403024*m.b3 - 2.118573403024*m.b14 >= -2.118573403024) m.c33 = Constraint(expr=m.x179**2 + m.x180**2 + m.x203**2 + m.x204**2 - 2*m.x180*m.x204 - 2*m.x179*m.x203 - 2.118573403024*m.b3 - 2.118573403024*m.b15 >= -2.118573403024) m.c34 = Constraint(expr=m.x179**2 + m.x180**2 + m.x205**2 + m.x206**2 - 2*m.x179*m.x205 - 2*m.x180*m.x206 - 2.118573403024*m.b3 - 2.118573403024*m.b16 >= -2.118573403024) m.c35 = Constraint(expr=m.x179**2 + m.x180**2 + m.x207**2 + m.x208**2 - 2*m.x180*m.x208 - 2*m.x179*m.x207 - 4.509770398884*m.b3 - 4.509770398884*m.b17 >= -4.509770398884) m.c36 = Constraint(expr=m.x179**2 + m.x180**2 + m.x209**2 + m.x210**2 - 2*m.x179*m.x209 - 2*m.x180*m.x210 - 4.509770398884*m.b3 - 4.509770398884*m.b18 >= -4.509770398884) m.c37 = Constraint(expr=m.x179**2 + m.x180**2 + m.x211**2 + m.x212**2 - 2*m.x179*m.x211 - 2*m.x180*m.x212 - 4.509770398884*m.b3 - 4.509770398884*m.b19 >= -4.509770398884) m.c38 = Constraint(expr=m.x179**2 + m.x180**2 + m.x213**2 + m.x214**2 - 2*m.x180*m.x214 - 2*m.x179*m.x213 - 6.408451746064*m.b3 - 6.408451746064*m.b20 >= -6.408451746064) m.c39 = Constraint(expr=m.x179**2 + m.x180**2 + m.x215**2 + m.x216**2 - 2*m.x180*m.x216 - 2*m.x179*m.x215 - 6.408451746064*m.b3 - 6.408451746064*m.b21 >= -6.408451746064) m.c40 = Constraint(expr=m.x177**2 + m.x178**2 + m.x181**2 + m.x182**2 - 2*m.x177*m.x181 - 2*m.x178*m.x182 - 1.436939228176*m.b2 - 1.436939228176*m.b4 >= -1.436939228176) m.c41 = Constraint(expr=m.x179**2 + m.x180**2 + m.x181**2 + m.x182**2 - 2*m.x179*m.x181 - 2*m.x180*m.x182 - 1.436939228176*m.b3 - 1.436939228176*m.b4 >= -1.436939228176) m.c42 = Constraint(expr=m.x181**2 + m.x182**2 + m.x183**2 + m.x184**2 - 2*m.x181*m.x183 - 2*m.x182*m.x184 - 1.436939228176*m.b4 - 1.436939228176*m.b5 >= -1.436939228176) m.c43 = Constraint(expr=m.x181**2 + m.x182**2 + m.x185**2 + m.x186**2 - 2*m.x181*m.x185 - 2*m.x182*m.x186 - 1.436939228176*m.b4 - 1.436939228176*m.b6 >= -1.436939228176) m.c44 = Constraint(expr=m.x181**2 + m.x182**2 + m.x187**2 + m.x188**2 - 2*m.x182*m.x188 - 2*m.x181*m.x187 - 1.436939228176*m.b4 - 1.436939228176*m.b7 >= -1.436939228176) m.c45 = Constraint(expr=m.x181**2 + m.x182**2 + m.x189**2 + m.x190**2 - 2*m.x182*m.x190 - 2*m.x181*m.x189 - 0.887203867225*m.b4 - 0.887203867225*m.b8 >= -0.887203867225) m.c46 = Constraint(expr=m.x181**2 + m.x182**2 + m.x191**2 + m.x192**2 - 2*m.x181*m.x191 - 2*m.x182*m.x192 - 0.887203867225*m.b4 - 0.887203867225*m.b9 >= -0.887203867225) m.c47 = Constraint(expr=m.x181**2 + m.x182**2 + m.x193**2 + m.x194**2 - 2*m.x182*m.x194 - 2*m.x181*m.x193 - 0.887203867225*m.b4 - 0.887203867225*m.b10 >= -0.887203867225) m.c48 = Constraint(expr=m.x181**2 + m.x182**2 + m.x195**2 + m.x196**2 - 2*m.x182*m.x196 - 2*m.x181*m.x195 - 0.887203867225*m.b4 - 0.887203867225*m.b11 >= -0.887203867225) m.c49 = Constraint(expr=m.x181**2 + m.x182**2 + m.x197**2 + m.x198**2 - 2*m.x182*m.x198 - 2*m.x181*m.x197 - 0.887203867225*m.b4 - 0.887203867225*m.b12 >= -0.887203867225) m.c50 = Constraint(expr=m.x181**2 + m.x182**2 + m.x199**2 + m.x200**2 - 2*m.x181*m.x199 - 2*m.x182*m.x200 - 2.118573403024*m.b4 - 2.118573403024*m.b13 >= -2.118573403024) m.c51 = Constraint(expr=m.x181**2 + m.x182**2 + m.x201**2 + m.x202**2 - 2*m.x182*m.x202 - 2*m.x181*m.x201 - 2.118573403024*m.b4 - 2.118573403024*m.b14 >= -2.118573403024) m.c52 = Constraint(expr=m.x181**2 + m.x182**2 + m.x203**2 + m.x204**2 - 2*m.x182*m.x204 - 2*m.x181*m.x203 - 2.118573403024*m.b4 - 2.118573403024*m.b15 >= -2.118573403024) m.c53 = Constraint(expr=m.x181**2 + m.x182**2 + m.x205**2 + m.x206**2 - 2*m.x181*m.x205 - 2*m.x182*m.x206 - 2.118573403024*m.b4 - 2.118573403024*m.b16 >= -2.118573403024) m.c54 = Constraint(expr=m.x181**2 + m.x182**2 + m.x207**2 + m.x208**2 - 2*m.x182*m.x208 - 2*m.x181*m.x207 - 4.509770398884*m.b4 - 4.509770398884*m.b17 >= -4.509770398884) m.c55 = Constraint(expr=m.x181**2 + m.x182**2 + m.x209**2 + m.x210**2 - 2*m.x181*m.x209 - 2*m.x182*m.x210 - 4.509770398884*m.b4 - 4.509770398884*m.b18 >= -4.509770398884) m.c56 = Constraint(expr=m.x181**2 + m.x182**2 + m.x211**2 + m.x212**2 - 2*m.x182*m.x212 - 2*m.x181*m.x211 - 4.509770398884*m.b4 - 4.509770398884*m.b19 >= -4.509770398884) m.c57 = Constraint(expr=m.x181**2 + m.x182**2 + m.x213**2 + m.x214**2 - 2*m.x182*m.x214 - 2*m.x181*m.x213 - 6.408451746064*m.b4 - 6.408451746064*m.b20 >= -6.408451746064) m.c58 = Constraint(expr=m.x181**2 + m.x182**2 + m.x215**2 + m.x216**2 - 2*m.x181*m.x215 - 2*m.x182*m.x216 - 6.408451746064*m.b4 - 6.408451746064*m.b21 >= -6.408451746064) m.c59 = Constraint(expr=m.x177**2 + m.x178**2 + m.x183**2 + m.x184**2 - 2*m.x177*m.x183 - 2*m.x178*m.x184 - 1.436939228176*m.b2 - 1.436939228176*m.b5 >= -1.436939228176) m.c60 = Constraint(expr=m.x179**2 + m.x180**2 + m.x183**2 + m.x184**2 - 2*m.x179*m.x183 - 2*m.x180*m.x184 - 1.436939228176*m.b3 - 1.436939228176*m.b5 >= -1.436939228176) m.c61 = Constraint(expr=m.x181**2 + m.x182**2 + m.x183**2 + m.x184**2 - 2*m.x181*m.x183 - 2*m.x182*m.x184 - 1.436939228176*m.b4 - 1.436939228176*m.b5 >= -1.436939228176) m.c62 = Constraint(expr=m.x183**2 + m.x184**2 + m.x185**2 + m.x186**2 - 2*m.x183*m.x185 - 2*m.x184*m.x186 - 1.436939228176*m.b5 - 1.436939228176*m.b6 >= -1.436939228176) m.c63 = Constraint(expr=m.x183**2 + m.x184**2 + m.x187**2 + m.x188**2 - 2*m.x184*m.x188 - 2*m.x183*m.x187 - 1.436939228176*m.b5 - 1.436939228176*m.b7 >= -1.436939228176) m.c64 = Constraint(expr=m.x183**2 + m.x184**2 + m.x189**2 + m.x190**2 - 2*m.x183*m.x189 - 2*m.x184*m.x190 - 0.887203867225*m.b5 - 0.887203867225*m.b8 >= -0.887203867225) m.c65 = Constraint(expr=m.x183**2 + m.x184**2 + m.x191**2 + m.x192**2 - 2*m.x184*m.x192 - 2*m.x183*m.x191 - 0.887203867225*m.b5 - 0.887203867225*m.b9 >= -0.887203867225) m.c66 = Constraint(expr=m.x183**2 + m.x184**2 + m.x193**2 + m.x194**2 - 2*m.x184*m.x194 - 2*m.x183*m.x193 - 0.887203867225*m.b5 - 0.887203867225*m.b10 >= -0.887203867225) m.c67 = Constraint(expr=m.x183**2 + m.x184**2 + m.x195**2 + m.x196**2 - 2*m.x183*m.x195 - 2*m.x184*m.x196 - 0.887203867225*m.b5 - 0.887203867225*m.b11 >= -0.887203867225) m.c68 = Constraint(expr=m.x183**2 + m.x184**2 + m.x197**2 + m.x198**2 - 2*m.x183*m.x197 - 2*m.x184*m.x198 - 0.887203867225*m.b5 - 0.887203867225*m.b12 >= -0.887203867225) m.c69 = Constraint(expr=m.x183**2 + m.x184**2 + m.x199**2 + m.x200**2 - 2*m.x184*m.x200 - 2*m.x183*m.x199 - 2.118573403024*m.b5 - 2.118573403024*m.b13 >= -2.118573403024) m.c70 = Constraint(expr=m.x183**2 + m.x184**2 + m.x201**2 + m.x202**2 - 2*m.x184*m.x202 - 2*m.x183*m.x201 - 2.118573403024*m.b5 - 2.118573403024*m.b14 >= -2.118573403024) m.c71 = Constraint(expr=m.x183**2 + m.x184**2 + m.x203**2 + m.x204**2 - 2*m.x183*m.x203 - 2*m.x184*m.x204 - 2.118573403024*m.b5 - 2.118573403024*m.b15 >= -2.118573403024) m.c72 = Constraint(expr=m.x183**2 + m.x184**2 + m.x205**2 + m.x206**2 - 2*m.x184*m.x206 - 2*m.x183*m.x205 - 2.118573403024*m.b5 - 2.118573403024*m.b16 >= -2.118573403024) m.c73 = Constraint(expr=m.x183**2 + m.x184**2 + m.x207**2 + m.x208**2 - 2*m.x183*m.x207 - 2*m.x184*m.x208 - 4.509770398884*m.b5 - 4.509770398884*m.b17 >= -4.509770398884) m.c74 = Constraint(expr=m.x183**2 + m.x184**2 + m.x209**2 + m.x210**2 - 2*m.x184*m.x210 - 2*m.x183*m.x209 - 4.509770398884*m.b5 - 4.509770398884*m.b18 >= -4.509770398884) m.c75 = Constraint(expr=m.x183**2 + m.x184**2 + m.x211**2 + m.x212**2 - 2*m.x184*m.x212 - 2*m.x183*m.x211 - 4.509770398884*m.b5 - 4.509770398884*m.b19 >= -4.509770398884) m.c76 = Constraint(expr=m.x183**2 + m.x184**2 + m.x213**2 + m.x214**2 - 2*m.x183*m.x213 - 2*m.x184*m.x214 - 6.408451746064*m.b5 - 6.408451746064*m.b20 >= -6.408451746064) m.c77 = Constraint(expr=m.x183**2 + m.x184**2 + m.x215**2 + m.x216**2 - 2*m.x184*m.x216 - 2*m.x183*m.x215 - 6.408451746064*m.b5 - 6.408451746064*m.b21 >= -6.408451746064) m.c78 = Constraint(expr=m.x177**2 + m.x178**2 + m.x185**2 + m.x186**2 - 2*m.x177*m.x185 - 2*m.x178*m.x186 - 1.436939228176*m.b2 - 1.436939228176*m.b6 >= -1.436939228176) m.c79 = Constraint(expr=m.x179**2 + m.x180**2 + m.x185**2 + m.x186**2 - 2*m.x179*m.x185 - 2*m.x180*m.x186 - 1.436939228176*m.b3 - 1.436939228176*m.b6 >= -1.436939228176) m.c80 = Constraint(expr=m.x181**2 + m.x182**2 + m.x185**2 + m.x186**2 - 2*m.x181*m.x185 - 2*m.x182*m.x186 - 1.436939228176*m.b4 - 1.436939228176*m.b6 >= -1.436939228176) m.c81 = Constraint(expr=m.x183**2 + m.x184**2 + m.x185**2 + m.x186**2 - 2*m.x183*m.x185 - 2*m.x184*m.x186 - 1.436939228176*m.b5 - 1.436939228176*m.b6 >= -1.436939228176) m.c82 = Constraint(expr=m.x185**2 + m.x186**2 + m.x187**2 + m.x188**2 - 2*m.x185*m.x187 - 2*m.x186*m.x188 - 1.436939228176*m.b6 - 1.436939228176*m.b7 >= -1.436939228176) m.c83 = Constraint(expr=m.x185**2 + m.x186**2 + m.x189**2 + m.x190**2 - 2*m.x186*m.x190 - 2*m.x185*m.x189 - 0.887203867225*m.b6 - 0.887203867225*m.b8 >= -0.887203867225) m.c84 = Constraint(expr=m.x185**2 + m.x186**2 + m.x191**2 + m.x192**2 - 2*m.x186*m.x192 - 2*m.x185*m.x191 - 0.887203867225*m.b6 - 0.887203867225*m.b9 >= -0.887203867225) m.c85 = Constraint(expr=m.x185**2 + m.x186**2 + m.x193**2 + m.x194**2 - 2*m.x185*m.x193 - 2*m.x186*m.x194 - 0.887203867225*m.b6 - 0.887203867225*m.b10 >= -0.887203867225) m.c86 = Constraint(expr=m.x185**2 + m.x186**2 + m.x195**2 + m.x196**2 - 2*m.x186*m.x196 - 2*m.x185*m.x195 - 0.887203867225*m.b6 - 0.887203867225*m.b11 >= -0.887203867225) m.c87 = Constraint(expr=m.x185**2 + m.x186**2 + m.x197**2 + m.x198**2 - 2*m.x186*m.x198 - 2*m.x185*m.x197 - 0.887203867225*m.b6 - 0.887203867225*m.b12 >= -0.887203867225) m.c88 = Constraint(expr=m.x185**2 + m.x186**2 + m.x199**2 + m.x200**2 - 2*m.x186*m.x200 - 2*m.x185*m.x199 - 2.118573403024*m.b6 - 2.118573403024*m.b13 >= -2.118573403024) m.c89 = Constraint(expr=m.x185**2 + m.x186**2 + m.x201**2 + m.x202**2 - 2*m.x185*m.x201 - 2*m.x186*m.x202 - 2.118573403024*m.b6 - 2.118573403024*m.b14 >= -2.118573403024) m.c90 = Constraint(expr=m.x185**2 + m.x186**2 + m.x203**2 + m.x204**2 - 2*m.x186*m.x204 - 2*m.x185*m.x203 - 2.118573403024*m.b6 - 2.118573403024*m.b15 >= -2.118573403024) m.c91 = Constraint(expr=m.x185**2 + m.x186**2 + m.x205**2 + m.x206**2 - 2*m.x185*m.x205 - 2*m.x186*m.x206 - 2.118573403024*m.b6 - 2.118573403024*m.b16 >= -2.118573403024) m.c92 = Constraint(expr=m.x185**2 + m.x186**2 + m.x207**2 + m.x208**2 - 2*m.x186*m.x208 - 2*m.x185*m.x207 - 4.509770398884*m.b6 - 4.509770398884*m.b17 >= -4.509770398884) m.c93 = Constraint(expr=m.x185**2 + m.x186**2 + m.x209**2 + m.x210**2 - 2*m.x186*m.x210 - 2*m.x185*m.x209 - 4.509770398884*m.b6 - 4.509770398884*m.b18 >= -4.509770398884) m.c94 = Constraint(expr=m.x185**2 + m.x186**2 + m.x211**2 + m.x212**2 - 2*m.x185*m.x211 - 2*m.x186*m.x212 - 4.509770398884*m.b6 - 4.509770398884*m.b19 >= -4.509770398884) m.c95 = Constraint(expr=m.x185**2 + m.x186**2 + m.x213**2 + m.x214**2 - 2*m.x186*m.x214 - 2*m.x185*m.x213 - 6.408451746064*m.b6 - 6.408451746064*m.b20 >= -6.408451746064) m.c96 = Constraint(expr=m.x185**2 + m.x186**2 + m.x215**2 + m.x216**2 - 2*m.x186*m.x216 - 2*m.x185*m.x215 - 6.408451746064*m.b6 - 6.408451746064*m.b21 >= -6.408451746064) m.c97 = Constraint(expr=m.x177**2 + m.x178**2 + m.x187**2 + m.x188**2 - 2*m.x177*m.x187 - 2*m.x178*m.x188 - 1.436939228176*m.b2 - 1.436939228176*m.b7 >= -1.436939228176) m.c98 = Constraint(expr=m.x179**2 + m.x180**2 + m.x187**2 + m.x188**2 - 2*m.x179*m.x187 - 2*m.x180*m.x188 - 1.436939228176*m.b3 - 1.436939228176*m.b7 >= -1.436939228176) m.c99 = Constraint(expr=m.x181**2 + m.x182**2 + m.x187**2 + m.x188**2 - 2*m.x182*m.x188 - 2*m.x181*m.x187 - 1.436939228176*m.b4 - 1.436939228176*m.b7 >= -1.436939228176) m.c100 = Constraint(expr=m.x183**2 + m.x184**2 + m.x187**2 + m.x188**2 - 2*m.x184*m.x188 - 2*m.x183*m.x187 - 1.436939228176*m.b5 - 1.436939228176*m.b7 >= -1.436939228176) m.c101 = Constraint(expr=m.x185**2 + m.x186**2 + m.x187**2 + m.x188**2 - 2*m.x185*m.x187 - 2*m.x186*m.x188 - 1.436939228176*m.b6 - 1.436939228176*m.b7 >= -1.436939228176) m.c102 = Constraint(expr=m.x187**2 + m.x188**2 + m.x189**2 + m.x190**2 - 2*m.x187*m.x189 - 2*m.x188*m.x190 - 0.887203867225*m.b7 - 0.887203867225*m.b8 >= -0.887203867225) m.c103 = Constraint(expr=m.x187**2 + m.x188**2 + m.x191**2 + m.x192**2 - 2*m.x187*m.x191 - 2*m.x188*m.x192 - 0.887203867225*m.b7 - 0.887203867225*m.b9 >= -0.887203867225) m.c104 = Constraint(expr=m.x187**2 + m.x188**2 + m.x193**2 + m.x194**2 - 2*m.x187*m.x193 - 2*m.x188*m.x194 - 0.887203867225*m.b7 - 0.887203867225*m.b10 >= -0.887203867225) m.c105 = Constraint(expr=m.x187**2 + m.x188**2 + m.x195**2 + m.x196**2 - 2*m.x187*m.x195 - 2*m.x188*m.x196 - 0.887203867225*m.b7 - 0.887203867225*m.b11 >= -0.887203867225) m.c106 = Constraint(expr=m.x187**2 + m.x188**2 + m.x197**2 + m.x198**2 - 2*m.x187*m.x197 - 2*m.x188*m.x198 - 0.887203867225*m.b7 - 0.887203867225*m.b12 >= -0.887203867225) m.c107 = Constraint(expr=m.x187**2 + m.x188**2 + m.x199**2 + m.x200**2 - 2*m.x187*m.x199 - 2*m.x188*m.x200 - 2.118573403024*m.b7 - 2.118573403024*m.b13 >= -2.118573403024) m.c108 = Constraint(expr=m.x187**2 + m.x188**2 + m.x201**2 + m.x202**2 - 2*m.x187*m.x201 - 2*m.x188*m.x202 - 2.118573403024*m.b7 - 2.118573403024*m.b14 >= -2.118573403024) m.c109 = Constraint(expr=m.x187**2 + m.x188**2 + m.x203**2 + m.x204**2 - 2*m.x187*m.x203 - 2*m.x188*m.x204 - 2.118573403024*m.b7 - 2.118573403024*m.b15 >= -2.118573403024) m.c110 = Constraint(expr=m.x187**2 + m.x188**2 + m.x205**2 + m.x206**2 - 2*m.x187*m.x205 - 2*m.x188*m.x206 - 2.118573403024*m.b7 - 2.118573403024*m.b16 >= -2.118573403024) m.c111 = Constraint(expr=m.x187**2 + m.x188**2 + m.x207**2 + m.x208**2 - 2*m.x187*m.x207 - 2*m.x188*m.x208 - 4.509770398884*m.b7 - 4.509770398884*m.b17 >= -4.509770398884) m.c112 = Constraint(expr=m.x187**2 + m.x188**2 + m.x209**2 + m.x210**2 - 2*m.x187*m.x209 - 2*m.x188*m.x210 - 4.509770398884*m.b7 - 4.509770398884*m.b18 >= -4.509770398884) m.c113 = Constraint(expr=m.x187**2 + m.x188**2 + m.x211**2 + m.x212**2 - 2*m.x187*m.x211 - 2*m.x188*m.x212 - 4.509770398884*m.b7 - 4.509770398884*m.b19 >= -4.509770398884) m.c114 = Constraint(expr=m.x187**2 + m.x188**2 + m.x213**2 + m.x214**2 - 2*m.x187*m.x213 - 2*m.x188*m.x214 - 6.408451746064*m.b7 - 6.408451746064*m.b20 >= -6.408451746064) m.c115 = Constraint(expr=m.x187**2 + m.x188**2 + m.x215**2 + m.x216**2 - 2*m.x187*m.x215 - 2*m.x188*m.x216 - 6.408451746064*m.b7 - 6.408451746064*m.b21 >= -6.408451746064) m.c116 = Constraint(expr=m.x177**2 + m.x178**2 + m.x189**2 + m.x190**2 - 2*m.x177*m.x189 - 2*m.x178*m.x190 - 0.887203867225*m.b2 - 0.887203867225*m.b8 >= -0.887203867225) m.c117 = Constraint(expr=m.x179**2 + m.x180**2 + m.x189**2 + m.x190**2 - 2*m.x180*m.x190 - 2*m.x179*m.x189 - 0.887203867225*m.b3 - 0.887203867225*m.b8 >= -0.887203867225) m.c118 = Constraint(expr=m.x181**2 + m.x182**2 + m.x189**2 + m.x190**2 - 2*m.x182*m.x190 - 2*m.x181*m.x189 - 0.887203867225*m.b4 - 0.887203867225*m.b8 >= -0.887203867225) m.c119 = Constraint(expr=m.x183**2 + m.x184**2 + m.x189**2 + m.x190**2 - 2*m.x183*m.x189 - 2*m.x184*m.x190 - 0.887203867225*m.b5 - 0.887203867225*m.b8 >= -0.887203867225) m.c120 = Constraint(expr=m.x185**2 + m.x186**2 + m.x189**2 + m.x190**2 - 2*m.x186*m.x190 - 2*m.x185*m.x189 - 0.887203867225*m.b6 - 0.887203867225*m.b8 >= -0.887203867225) m.c121 = Constraint(expr=m.x187**2 + m.x188**2 + m.x189**2 + m.x190**2 - 2*m.x187*m.x189 - 2*m.x188*m.x190 - 0.887203867225*m.b7 - 0.887203867225*m.b8 >= -0.887203867225) m.c122 = Constraint(expr=m.x189**2 + m.x190**2 + m.x191**2 + m.x192**2 - 2*m.x189*m.x191 - 2*m.x190*m.x192 - 0.469370231236*m.b8 - 0.469370231236*m.b9 >= -0.469370231236) m.c123 = Constraint(expr=m.x189**2 + m.x190**2 + m.x193**2 + m.x194**2 - 2*m.x189*m.x193 - 2*m.x190*m.x194 - 0.469370231236*m.b8 - 0.469370231236*m.b10 >= -0.469370231236) m.c124 = Constraint(expr=m.x189**2 + m.x190**2 + m.x195**2 + m.x196**2 - 2*m.x189*m.x195 - 2*m.x190*m.x196 - 0.469370231236*m.b8 - 0.469370231236*m.b11 >= -0.469370231236) m.c125 = Constraint(expr=m.x189**2 + m.x190**2 + m.x197**2 + m.x198**2 - 2*m.x189*m.x197 - 2*m.x190*m.x198 - 0.469370231236*m.b8 - 0.469370231236*m.b12 >= -0.469370231236) m.c126 = Constraint(expr=m.x189**2 + m.x190**2 + m.x199**2 + m.x200**2 - 2*m.x189*m.x199 - 2*m.x190*m.x200 - 1.436936830729*m.b8 - 1.436936830729*m.b13 >= -1.436936830729) m.c127 = Constraint(expr=m.x189**2 + m.x190**2 + m.x201**2 + m.x202**2 - 2*m.x189*m.x201 - 2*m.x190*m.x202 - 1.436936830729*m.b8 - 1.436936830729*m.b14 >= -1.436936830729) m.c128 = Constraint(expr=m.x189**2 + m.x190**2 + m.x203**2 + m.x204**2 - 2*m.x189*m.x203 - 2*m.x190*m.x204 - 1.436936830729*m.b8 - 1.436936830729*m.b15 >= -1.436936830729) m.c129 = Constraint(expr=m.x189**2 + m.x190**2 + m.x205**2 + m.x206**2 - 2*m.x189*m.x205 - 2*m.x190*m.x206 - 1.436936830729*m.b8 - 1.436936830729*m.b16 >= -1.436936830729) m.c130 = Constraint(expr=m.x189**2 + m.x190**2 + m.x207**2 + m.x208**2 - 2*m.x189*m.x207 - 2*m.x190*m.x208 - 3.484990776969*m.b8 - 3.484990776969*m.b17 >= -3.484990776969) m.c131 = Constraint(expr=m.x189**2 + m.x190**2 + m.x209**2 + m.x210**2 - 2*m.x189*m.x209 - 2*m.x190*m.x210 - 3.484990776969*m.b8 - 3.484990776969*m.b18 >= -3.484990776969) m.c132 = Constraint(expr=m.x189**2 + m.x190**2 + m.x211**2 + m.x212**2 - 2*m.x189*m.x211 - 2*m.x190*m.x212 - 3.484990776969*m.b8 - 3.484990776969*m.b19 >= -3.484990776969) m.c133 = Constraint(expr=m.x189**2 + m.x190**2 + m.x213**2 + m.x214**2 - 2*m.x189*m.x213 - 2*m.x190*m.x214 - 5.174182750489*m.b8 - 5.174182750489*m.b20 >= -5.174182750489) m.c134 = Constraint(expr=m.x189**2 + m.x190**2 + m.x215**2 + m.x216**2 - 2*m.x189*m.x215 - 2*m.x190*m.x216 - 5.174182750489*m.b8 - 5.174182750489*m.b21 >= -5.174182750489) m.c135 = Constraint(expr=m.x177**2 + m.x178**2 + m.x191**2 + m.x192**2 - 2*m.x178*m.x192 - 2*m.x177*m.x191 - 0.887203867225*m.b2 - 0.887203867225*m.b9 >= -0.887203867225) m.c136 = Constraint(expr=m.x179**2 + m.x180**2 + m.x191**2 + m.x192**2 - 2*m.x180*m.x192 - 2*m.x179*m.x191 - 0.887203867225*m.b3 - 0.887203867225*m.b9 >= -0.887203867225) m.c137 = Constraint(expr=m.x181**2 + m.x182**2 + m.x191**2 + m.x192**2 - 2*m.x181*m.x191 - 2*m.x182*m.x192 - 0.887203867225*m.b4 - 0.887203867225*m.b9 >= -0.887203867225) m.c138 = Constraint(expr=m.x183**2 + m.x184**2 + m.x191**2 + m.x192**2 - 2*m.x184*m.x192 - 2*m.x183*m.x191 - 0.887203867225*m.b5 - 0.887203867225*m.b9 >= -0.887203867225) m.c139 = Constraint(expr=m.x185**2 + m.x186**2 + m.x191**2 + m.x192**2 - 2*m.x186*m.x192 - 2*m.x185*m.x191 - 0.887203867225*m.b6 - 0.887203867225*m.b9 >= -0.887203867225) m.c140 = Constraint(expr=m.x187**2 + m.x188**2 + m.x191**2 + m.x192**2 - 2*m.x187*m.x191 - 2*m.x188*m.x192 - 0.887203867225*m.b7 - 0.887203867225*m.b9 >= -0.887203867225) m.c141 = Constraint(expr=m.x189**2 + m.x190**2 + m.x191**2 + m.x192**2 - 2*m.x189*m.x191 - 2*m.x190*m.x192 - 0.469370231236*m.b8 - 0.469370231236*m.b9 >= -0.469370231236) m.c142 = Constraint(expr=m.x191**2 + m.x192**2 + m.x193**2 + m.x194**2 - 2*m.x191*m.x193 - 2*m.x192*m.x194 - 0.469370231236*m.b9 - 0.469370231236*m.b10 >= -0.469370231236) m.c143 = Constraint(expr=m.x191**2 + m.x192**2 + m.x195**2 + m.x196**2 - 2*m.x191*m.x195 - 2*m.x192*m.x196 - 0.469370231236*m.b9 - 0.469370231236*m.b11 >= -0.469370231236) m.c144 = Constraint(expr=m.x191**2 + m.x192**2 + m.x197**2 + m.x198**2 - 2*m.x191*m.x197 - 2*m.x192*m.x198 - 0.469370231236*m.b9 - 0.469370231236*m.b12 >= -0.469370231236) m.c145 = Constraint(expr=m.x191**2 + m.x192**2 + m.x199**2 + m.x200**2 - 2*m.x191*m.x199 - 2*m.x192*m.x200 - 1.436936830729*m.b9 - 1.436936830729*m.b13 >= -1.436936830729) m.c146 = Constraint(expr=m.x191**2 + m.x192**2 + m.x201**2 + m.x202**2 - 2*m.x191*m.x201 - 2*m.x192*m.x202 - 1.436936830729*m.b9 - 1.436936830729*m.b14 >= -1.436936830729) m.c147 = Constraint(expr=m.x191**2 + m.x192**2 + m.x203**2 + m.x204**2 - 2*m.x191*m.x203 - 2*m.x192*m.x204 - 1.436936830729*m.b9 - 1.436936830729*m.b15 >= -1.436936830729) m.c148 = Constraint(expr=m.x191**2 + m.x192**2 + m.x205**2 + m.x206**2 - 2*m.x191*m.x205 - 2*m.x192*m.x206 - 1.436936830729*m.b9 - 1.436936830729*m.b16 >= -1.436936830729) m.c149 = Constraint(expr=m.x191**2 + m.x192**2 + m.x207**2 + m.x208**2 - 2*m.x191*m.x207 - 2*m.x192*m.x208 - 3.484990776969*m.b9 - 3.484990776969*m.b17 >= -3.484990776969) m.c150 = Constraint(expr=m.x191**2 + m.x192**2 + m.x209**2 + m.x210**2 - 2*m.x191*m.x209 - 2*m.x192*m.x210 - 3.484990776969*m.b9 - 3.484990776969*m.b18 >= -3.484990776969) m.c151 = Constraint(expr=m.x191**2 + m.x192**2 + m.x211**2 + m.x212**2 - 2*m.x191*m.x211 - 2*m.x192*m.x212 - 3.484990776969*m.b9 - 3.484990776969*m.b19 >= -3.484990776969) m.c152 = Constraint(expr=m.x191**2 + m.x192**2 + m.x213**2 + m.x214**2 - 2*m.x191*m.x213 - 2*m.x192*m.x214 - 5.174182750489*m.b9 - 5.174182750489*m.b20 >= -5.174182750489) m.c153 = Constraint(expr=m.x191**2 + m.x192**2 + m.x215**2 + m.x216**2 - 2*m.x191*m.x215 - 2*m.x192*m.x216 - 5.174182750489*m.b9 - 5.174182750489*m.b21 >= -5.174182750489) m.c154 = Constraint(expr=m.x177**2 + m.x178**2 + m.x193**2 + m.x194**2 - 2*m.x178*m.x194 - 2*m.x177*m.x193 - 0.887203867225*m.b2 - 0.887203867225*m.b10 >= -0.887203867225) m.c155 = Constraint(expr=m.x179**2 + m.x180**2 + m.x193**2 + m.x194**2 - 2*m.x179*m.x193 - 2*m.x180*m.x194 - 0.887203867225*m.b3 - 0.887203867225*m.b10 >= -0.887203867225) m.c156 = Constraint(expr=m.x181**2 + m.x182**2 + m.x193**2 + m.x194**2 - 2*m.x182*m.x194 - 2*m.x181*m.x193 - 0.887203867225*m.b4 - 0.887203867225*m.b10 >= -0.887203867225) m.c157 = Constraint(expr=m.x183**2 + m.x184**2 + m.x193**2 + m.x194**2 - 2*m.x184*m.x194 - 2*m.x183*m.x193 - 0.887203867225*m.b5 - 0.887203867225*m.b10 >= -0.887203867225) m.c158 = Constraint(expr=m.x185**2 + m.x186**2 + m.x193**2 + m.x194**2 - 2*m.x185*m.x193 - 2*m.x186*m.x194 - 0.887203867225*m.b6 - 0.887203867225*m.b10 >= -0.887203867225) m.c159 = Constraint(expr=m.x187**2 + m.x188**2 + m.x193**2 + m.x194**2 - 2*m.x187*m.x193 - 2*m.x188*m.x194 - 0.887203867225*m.b7 - 0.887203867225*m.b10 >= -0.887203867225) m.c160 = Constraint(expr=m.x189**2 + m.x190**2 + m.x193**2 + m.x194**2 - 2*m.x189*m.x193 - 2*m.x190*m.x194 - 0.469370231236*m.b8 - 0.469370231236*m.b10 >= -0.469370231236) m.c161 = Constraint(expr=m.x191**2 + m.x192**2 + m.x193**2 + m.x194**2 - 2*m.x191*m.x193 - 2*m.x192*m.x194 - 0.469370231236*m.b9 - 0.469370231236*m.b10 >= -0.469370231236) m.c162 = Constraint(expr=m.x193**2 + m.x194**2 + m.x195**2 + m.x196**2 - 2*m.x193*m.x195 - 2*m.x194*m.x196 - 0.469370231236*m.b10 - 0.469370231236*m.b11 >= -0.469370231236) m.c163 = Constraint(expr=m.x193**2 + m.x194**2 + m.x197**2 + m.x198**2 - 2*m.x193*m.x197 - 2*m.x194*m.x198 - 0.469370231236*m.b10 - 0.469370231236*m.b12 >= -0.469370231236) m.c164 = Constraint(expr=m.x193**2 + m.x194**2 + m.x199**2 + m.x200**2 - 2*m.x193*m.x199 - 2*m.x194*m.x200 - 1.436936830729*m.b10 - 1.436936830729*m.b13 >= -1.436936830729) m.c165 = Constraint(expr=m.x193**2 + m.x194**2 + m.x201**2 + m.x202**2 - 2*m.x193*m.x201 - 2*m.x194*m.x202 - 1.436936830729*m.b10 - 1.436936830729*m.b14 >= -1.436936830729) m.c166 = Constraint(expr=m.x193**2 + m.x194**2 + m.x203**2 + m.x204**2 - 2*m.x193*m.x203 - 2*m.x194*m.x204 - 1.436936830729*m.b10 - 1.436936830729*m.b15 >= -1.436936830729) m.c167 = Constraint(expr=m.x193**2 + m.x194**2 + m.x205**2 + m.x206**2 - 2*m.x193*m.x205 - 2*m.x194*m.x206 - 1.436936830729*m.b10 - 1.436936830729*m.b16 >= -1.436936830729) m.c168 = Constraint(expr=m.x193**2 + m.x194**2 + m.x207**2 + m.x208**2 - 2*m.x193*m.x207 - 2*m.x194*m.x208 - 3.484990776969*m.b10 - 3.484990776969*m.b17 >= -3.484990776969) m.c169 = Constraint(expr=m.x193**2 + m.x194**2 + m.x209**2 + m.x210**2 - 2*m.x193*m.x209 - 2*m.x194*m.x210 - 3.484990776969*m.b10 - 3.484990776969*m.b18 >= -3.484990776969) m.c170 = Constraint(expr=m.x193**2 + m.x194**2 + m.x211**2 + m.x212**2 - 2*m.x193*m.x211 - 2*m.x194*m.x212 - 3.484990776969*m.b10 - 3.484990776969*m.b19 >= -3.484990776969) m.c171 = Constraint(expr=m.x193**2 + m.x194**2 + m.x213**2 + m.x214**2 - 2*m.x193*m.x213 - 2*m.x194*m.x214 - 5.174182750489*m.b10 - 5.174182750489*m.b20 >= -5.174182750489) m.c172 = Constraint(expr=m.x193**2 + m.x194**2 + m.x215**2 + m.x216**2 - 2*m.x193*m.x215 - 2*m.x194*m.x216 - 5.174182750489*m.b10 - 5.174182750489*m.b21 >= -5.174182750489) m.c173 = Constraint(expr=m.x177**2 + m.x178**2 + m.x195**2 + m.x196**2 - 2*m.x177*m.x195 - 2*m.x178*m.x196 - 0.887203867225*m.b2 - 0.887203867225*m.b11 >= -0.887203867225) m.c174 = Constraint(expr=m.x179**2 + m.x180**2 + m.x195**2 + m.x196**2 - 2*m.x180*m.x196 - 2*m.x179*m.x195 - 0.887203867225*m.b3 - 0.887203867225*m.b11 >= -0.887203867225) m.c175 = Constraint(expr=m.x181**2 + m.x182**2 + m.x195**2 + m.x196**2 - 2*m.x182*m.x196 - 2*m.x181*m.x195 - 0.887203867225*m.b4 - 0.887203867225*m.b11 >= -0.887203867225) m.c176 = Constraint(expr=m.x183**2 + m.x184**2 + m.x195**2 + m.x196**2 - 2*m.x183*m.x195 - 2*m.x184*m.x196 - 0.887203867225*m.b5 - 0.887203867225*m.b11 >= -0.887203867225) m.c177 = Constraint(expr=m.x185**2 + m.x186**2 + m.x195**2 + m.x196**2 - 2*m.x186*m.x196 - 2*m.x185*m.x195 - 0.887203867225*m.b6 - 0.887203867225*m.b11 >= -0.887203867225) m.c178 = Constraint(expr=m.x187**2 + m.x188**2 + m.x195**2 + m.x196**2 - 2*m.x187*m.x195 - 2*m.x188*m.x196 - 0.887203867225*m.b7 - 0.887203867225*m.b11 >= -0.887203867225) m.c179 = Constraint(expr=m.x189**2 + m.x190**2 + m.x195**2 + m.x196**2 - 2*m.x189*m.x195 - 2*m.x190*m.x196 - 0.469370231236*m.b8 - 0.469370231236*m.b11 >= -0.469370231236) m.c180 = Constraint(expr=m.x191**2 + m.x192**2 + m.x195**2 + m.x196**2 - 2*m.x191*m.x195 - 2*m.x192*m.x196 - 0.469370231236*m.b9 - 0.469370231236*m.b11 >= -0.469370231236) m.c181 = Constraint(expr=m.x193**2 + m.x194**2 + m.x195**2 + m.x196**2 - 2*m.x193*m.x195 - 2*m.x194*m.x196 - 0.469370231236*m.b10 - 0.469370231236*m.b11 >= -0.469370231236) m.c182 = Constraint(expr=m.x195**2 + m.x196**2 + m.x197**2 + m.x198**2 - 2*m.x195*m.x197 - 2*m.x196*m.x198 - 0.469370231236*m.b11 - 0.469370231236*m.b12 >= -0.469370231236) m.c183 = Constraint(expr=m.x195**2 + m.x196**2 + m.x199**2 + m.x200**2 - 2*m.x195*m.x199 - 2*m.x196*m.x200 - 1.436936830729*m.b11 - 1.436936830729*m.b13 >= -1.436936830729) m.c184 = Constraint(expr=m.x195**2 + m.x196**2 + m.x201**2 + m.x202**2 - 2*m.x195*m.x201 - 2*m.x196*m.x202 - 1.436936830729*m.b11 - 1.436936830729*m.b14 >= -1.436936830729) m.c185 = Constraint(expr=m.x195**2 + m.x196**2 + m.x203**2 + m.x204**2 - 2*m.x195*m.x203 - 2*m.x196*m.x204 - 1.436936830729*m.b11 - 1.436936830729*m.b15 >= -1.436936830729) m.c186 = Constraint(expr=m.x195**2 + m.x196**2 + m.x205**2 + m.x206**2 - 2*m.x195*m.x205 - 2*m.x196*m.x206 - 1.436936830729*m.b11 - 1.436936830729*m.b16 >= -1.436936830729) m.c187 = Constraint(expr=m.x195**2 + m.x196**2 + m.x207**2 + m.x208**2 - 2*m.x195*m.x207 - 2*m.x196*m.x208 - 3.484990776969*m.b11 - 3.484990776969*m.b17 >= -3.484990776969) m.c188 = Constraint(expr=m.x195**2 + m.x196**2 + m.x209**2 + m.x210**2 - 2*m.x195*m.x209 - 2*m.x196*m.x210 - 3.484990776969*m.b11 - 3.484990776969*m.b18 >= -3.484990776969) m.c189 = Constraint(expr=m.x195**2 + m.x196**2 + m.x211**2 + m.x212**2 - 2*m.x195*m.x211 - 2*m.x196*m.x212 - 3.484990776969*m.b11 - 3.484990776969*m.b19 >= -3.484990776969) m.c190 = Constraint(expr=m.x195**2 + m.x196**2 + m.x213**2 + m.x214**2 - 2*m.x195*m.x213 - 2*m.x196*m.x214 - 5.174182750489*m.b11 - 5.174182750489*m.b20 >= -5.174182750489) m.c191 = Constraint(expr=m.x195**2 + m.x196**2 + m.x215**2 + m.x216**2 - 2*m.x195*m.x215 - 2*m.x196*m.x216 - 5.174182750489*m.b11 - 5.174182750489*m.b21 >= -5.174182750489) m.c192 = Constraint(expr=m.x177**2 + m.x178**2 + m.x197**2 + m.x198**2 - 2*m.x177*m.x197 - 2*m.x178*m.x198 - 0.887203867225*m.b2 - 0.887203867225*m.b12 >= -0.887203867225) m.c193 = Constraint(expr=m.x179**2 + m.x180**2 + m.x197**2 + m.x198**2 - 2*m.x180*m.x198 - 2*m.x179*m.x197 - 0.887203867225*m.b3 - 0.887203867225*m.b12 >= -0.887203867225) m.c194 = Constraint(expr=m.x181**2 + m.x182**2 + m.x197**2 + m.x198**2 - 2*m.x182*m.x198 - 2*m.x181*m.x197 - 0.887203867225*m.b4 - 0.887203867225*m.b12 >= -0.887203867225) m.c195 = Constraint(expr=m.x183**2 + m.x184**2 + m.x197**2 + m.x198**2 - 2*m.x183*m.x197 - 2*m.x184*m.x198 - 0.887203867225*m.b5 - 0.887203867225*m.b12 >= -0.887203867225) m.c196 = Constraint(expr=m.x185**2 + m.x186**2 + m.x197**2 + m.x198**2 - 2*m.x186*m.x198 - 2*m.x185*m.x197 - 0.887203867225*m.b6 - 0.887203867225*m.b12 >= -0.887203867225) m.c197 = Constraint(expr=m.x187**2 + m.x188**2 + m.x197**2 + m.x198**2 - 2*m.x187*m.x197 - 2*m.x188*m.x198 - 0.887203867225*m.b7 - 0.887203867225*m.b12 >= -0.887203867225) m.c198 = Constraint(expr=m.x189**2 + m.x190**2 + m.x197**2 + m.x198**2 - 2*m.x189*m.x197 - 2*m.x190*m.x198 - 0.469370231236*m.b8 - 0.469370231236*m.b12 >= -0.469370231236) m.c199 = Constraint(expr=m.x191**2 + m.x192**2 + m.x197**2 + m.x198**2 - 2*m.x191*m.x197 - 2*m.x192*m.x198 - 0.469370231236*m.b9 - 0.469370231236*m.b12 >= -0.469370231236) m.c200 = Constraint(expr=m.x193**2 + m.x194**2 + m.x197**2 + m.x198**2 - 2*m.x193*m.x197 - 2*m.x194*m.x198 - 0.469370231236*m.b10 - 0.469370231236*m.b12 >= -0.469370231236) m.c201 = Constraint(expr=m.x195**2 + m.x196**2 + m.x197**2 + m.x198**2 - 2*m.x195*m.x197 - 2*m.x196*m.x198 - 0.469370231236*m.b11 - 0.469370231236*m.b12 >= -0.469370231236) m.c202 = Constraint(expr=m.x197**2 + m.x198**2 + m.x199**2 + m.x200**2 - 2*m.x197*m.x199 - 2*m.x198*m.x200 - 1.436936830729*m.b12 - 1.436936830729*m.b13 >= -1.436936830729) m.c203 = Constraint(expr=m.x197**2 + m.x198**2 + m.x201**2 + m.x202**2 - 2*m.x197*m.x201 - 2*m.x198*m.x202 - 1.436936830729*m.b12 - 1.436936830729*m.b14 >= -1.436936830729) m.c204 = Constraint(expr=m.x197**2 + m.x198**2 + m.x203**2 + m.x204**2 - 2*m.x197*m.x203 - 2*m.x198*m.x204 - 1.436936830729*m.b12 - 1.436936830729*m.b15 >= -1.436936830729) m.c205 = Constraint(expr=m.x197**2 + m.x198**2 + m.x205**2 + m.x206**2 - 2*m.x197*m.x205 - 2*m.x198*m.x206 - 1.436936830729*m.b12 - 1.436936830729*m.b16 >= -1.436936830729) m.c206 = Constraint(expr=m.x197**2 + m.x198**2 + m.x207**2 + m.x208**2 - 2*m.x197*m.x207 - 2*m.x198*m.x208 - 3.484990776969*m.b12 - 3.484990776969*m.b17 >= -3.484990776969) m.c207 = Constraint(expr=m.x197**2 + m.x198**2 + m.x209**2 + m.x210**2 - 2*m.x197*m.x209 - 2*m.x198*m.x210 - 3.484990776969*m.b12 - 3.484990776969*m.b18 >= -3.484990776969) m.c208 = Constraint(expr=m.x197**2 + m.x198**2 + m.x211**2 + m.x212**2 - 2*m.x197*m.x211 - 2*m.x198*m.x212 - 3.484990776969*m.b12 - 3.484990776969*m.b19 >= -3.484990776969) m.c209 = Constraint(expr=m.x197**2 + m.x198**2 + m.x213**2 + m.x214**2 - 2*m.x197*m.x213 - 2*m.x198*m.x214 - 5.174182750489*m.b12 - 5.174182750489*m.b20 >= -5.174182750489) m.c210 = Constraint(expr=m.x197**2 + m.x198**2 + m.x215**2 + m.x216**2 - 2*m.x197*m.x215 - 2*m.x198*m.x216 - 5.174182750489*m.b12 - 5.174182750489*m.b21 >= -5.174182750489) m.c211 = Constraint(expr=m.x177**2 + m.x178**2 + m.x199**2 + m.x200**2 - 2*m.x177*m.x199 - 2*m.x178*m.x200 - 2.118573403024*m.b2 - 2.118573403024*m.b13 >= -2.118573403024) m.c212 = Constraint(expr=m.x179**2 + m.x180**2 + m.x199**2 + m.x200**2 - 2*m.x180*m.x200 - 2*m.x179*m.x199 - 2.118573403024*m.b3 - 2.118573403024*m.b13 >= -2.118573403024) m.c213 = Constraint(expr=m.x181**2 + m.x182**2 + m.x199**2 + m.x200**2 - 2*m.x181*m.x199 - 2*m.x182*m.x200 - 2.118573403024*m.b4 - 2.118573403024*m.b13 >= -2.118573403024) m.c214 = Constraint(expr=m.x183**2 + m.x184**2 + m.x199**2 + m.x200**2 - 2*m.x184*m.x200 - 2*m.x183*m.x199 - 2.118573403024*m.b5 - 2.118573403024*m.b13 >= -2.118573403024) m.c215 = Constraint(expr=m.x185**2 + m.x186**2 + m.x199**2 + m.x200**2 - 2*m.x186*m.x200 - 2*m.x185*m.x199 - 2.118573403024*m.b6 - 2.118573403024*m.b13 >= -2.118573403024) m.c216 = Constraint(expr=m.x187**2 + m.x188**2 + m.x199**2 + m.x200**2 - 2*m.x187*m.x199 - 2*m.x188*m.x200 - 2.118573403024*m.b7 - 2.118573403024*m.b13 >= -2.118573403024) m.c217 = Constraint(expr=m.x189**2 + m.x190**2 + m.x199**2 + m.x200**2 - 2*m.x189*m.x199 - 2*m.x190*m.x200 - 1.436936830729*m.b8 - 1.436936830729*m.b13 >= -1.436936830729) m.c218 = Constraint(expr=m.x191**2 + m.x192**2 + m.x199**2 + m.x200**2 - 2*m.x191*m.x199 - 2*m.x192*m.x200 - 1.436936830729*m.b9 - 1.436936830729*m.b13 >= -1.436936830729) m.c219 = Constraint(expr=m.x193**2 + m.x194**2 + m.x199**2 + m.x200**2 - 2*m.x193*m.x199 - 2*m.x194*m.x200 - 1.436936830729*m.b10 - 1.436936830729*m.b13 >= -1.436936830729) m.c220 = Constraint(expr=m.x195**2 + m.x196**2 + m.x199**2 + m.x200**2 - 2*m.x195*m.x199 - 2*m.x196*m.x200 - 1.436936830729*m.b11 - 1.436936830729*m.b13 >= -1.436936830729) m.c221 = Constraint(expr=m.x197**2 + m.x198**2 + m.x199**2 + m.x200**2 - 2*m.x197*m.x199 - 2*m.x198*m.x200 - 1.436936830729*m.b12 - 1.436936830729*m.b13 >= -1.436936830729) m.c222 = Constraint(expr=m.x199**2 + m.x200**2 + m.x201**2 + m.x202**2 - 2*m.x199*m.x201 - 2*m.x200*m.x202 - 2.9321082756*m.b13 - 2.9321082756*m.b14 >= -2.9321082756) m.c223 = Constraint(expr=m.x199**2 + m.x200**2 + m.x203**2 + m.x204**2 - 2*m.x199*m.x203 - 2*m.x200*m.x204 - 2.9321082756*m.b13 - 2.9321082756*m.b15 >= -2.9321082756) m.c224 = Constraint(expr=m.x199**2 + m.x200**2 + m.x205**2 + m.x206**2 - 2*m.x199*m.x205 - 2*m.x200*m.x206 - 2.9321082756*m.b13 - 2.9321082756*m.b16 >= -2.9321082756) m.c225 = Constraint(expr=m.x199**2 + m.x200**2 + m.x207**2 + m.x208**2 - 2*m.x199*m.x207 - 2*m.x200*m.x208 - 5.6664469849*m.b13 - 5.6664469849*m.b17 >= -5.6664469849) m.c226 = Constraint(expr=m.x199**2 + m.x200**2 + m.x209**2 + m.x210**2 - 2*m.x199*m.x209 - 2*m.x200*m.x210 - 5.6664469849*m.b13 - 5.6664469849*m.b18 >= -5.6664469849) m.c227 = Constraint(expr=m.x199**2 + m.x200**2 + m.x211**2 + m.x212**2 - 2*m.x199*m.x211 - 2*m.x200*m.x212 - 5.6664469849*m.b13 - 5.6664469849*m.b19 >= -5.6664469849) m.c228 = Constraint(expr=m.x199**2 + m.x200**2 + m.x213**2 + m.x214**2 - 2*m.x199*m.x213 - 2*m.x200*m.x214 - 7.77461689*m.b13 - 7.77461689*m.b20 >= -7.77461689) m.c229 = Constraint(expr=m.x199**2 + m.x200**2 + m.x215**2 + m.x216**2 - 2*m.x199*m.x215 - 2*m.x200*m.x216 - 7.77461689*m.b13 - 7.77461689*m.b21 >= -7.77461689) m.c230 = Constraint(expr=m.x177**2 + m.x178**2 + m.x201**2 + m.x202**2 - 2*m.x178*m.x202 - 2*m.x177*m.x201 - 2.118573403024*m.b2 - 2.118573403024*m.b14 >= -2.118573403024) m.c231 = Constraint(expr=m.x179**2 + m.x180**2 + m.x201**2 + m.x202**2 - 2*m.x179*m.x201 - 2*m.x180*m.x202 - 2.118573403024*m.b3 - 2.118573403024*m.b14 >= -2.118573403024) m.c232 = Constraint(expr=m.x181**2 + m.x182**2 + m.x201**2 + m.x202**2 - 2*m.x182*m.x202 - 2*m.x181*m.x201 - 2.118573403024*m.b4 - 2.118573403024*m.b14 >= -2.118573403024) m.c233 = Constraint(expr=m.x183**2 + m.x184**2 + m.x201**2 + m.x202**2 - 2*m.x184*m.x202 - 2*m.x183*m.x201 - 2.118573403024*m.b5 - 2.118573403024*m.b14 >= -2.118573403024) m.c234 = Constraint(expr=m.x185**2 + m.x186**2 + m.x201**2 + m.x202**2 - 2*m.x185*m.x201 - 2*m.x186*m.x202 - 2.118573403024*m.b6 - 2.118573403024*m.b14 >= -2.118573403024) m.c235 = Constraint(expr=m.x187**2 + m.x188**2 + m.x201**2 + m.x202**2 - 2*m.x187*m.x201 - 2*m.x188*m.x202 - 2.118573403024*m.b7 - 2.118573403024*m.b14 >= -2.118573403024) m.c236 = Constraint(expr=m.x189**2 + m.x190**2 + m.x201**2 + m.x202**2 - 2*m.x189*m.x201 - 2*m.x190*m.x202 - 1.436936830729*m.b8 - 1.436936830729*m.b14 >= -1.436936830729) m.c237 = Constraint(expr=m.x191**2 + m.x192**2 + m.x201**2 + m.x202**2 - 2*m.x191*m.x201 - 2*m.x192*m.x202 - 1.436936830729*m.b9 - 1.436936830729*m.b14 >= -1.436936830729) m.c238 = Constraint(expr=m.x193**2 + m.x194**2 + m.x201**2 + m.x202**2 - 2*m.x193*m.x201 - 2*m.x194*m.x202 - 1.436936830729*m.b10 - 1.436936830729*m.b14 >= -1.436936830729) m.c239 = Constraint(expr=m.x195**2 + m.x196**2 + m.x201**2 + m.x202**2 - 2*m.x195*m.x201 - 2*m.x196*m.x202 - 1.436936830729*m.b11 - 1.436936830729*m.b14 >= -1.436936830729) m.c240 = Constraint(expr=m.x197**2 + m.x198**2 + m.x201**2 + m.x202**2 - 2*m.x197*m.x201 - 2*m.x198*m.x202 - 1.436936830729*m.b12 - 1.436936830729*m.b14 >= -1.436936830729) m.c241 = Constraint(expr=m.x199**2 + m.x200**2 + m.x201**2 + m.x202**2 - 2*m.x199*m.x201 - 2*m.x200*m.x202 - 2.9321082756*m.b13 - 2.9321082756*m.b14 >= -2.9321082756) m.c242 = Constraint(expr=m.x201**2 + m.x202**2 + m.x203**2 + m.x204**2 - 2*m.x201*m.x203 - 2*m.x202*m.x204 - 2.9321082756*m.b14 - 2.9321082756*m.b15 >= -2.9321082756) m.c243 = Constraint(expr=m.x201**2 + m.x202**2 + m.x205**2 + m.x206**2 - 2*m.x201*m.x205 - 2*m.x202*m.x206 - 2.9321082756*m.b14 - 2.9321082756*m.b16 >= -2.9321082756) m.c244 = Constraint(expr=m.x201**2 + m.x202**2 + m.x207**2 + m.x208**2 - 2*m.x201*m.x207 - 2*m.x202*m.x208 - 5.6664469849*m.b14 - 5.6664469849*m.b17 >= -5.6664469849) m.c245 = Constraint(expr=m.x201**2 + m.x202**2 + m.x209**2 + m.x210**2 - 2*m.x201*m.x209 - 2*m.x202*m.x210 - 5.6664469849*m.b14 - 5.6664469849*m.b18 >= -5.6664469849) m.c246 = Constraint(expr=m.x201**2 + m.x202**2 + m.x211**2 + m.x212**2 - 2*m.x201*m.x211 - 2*m.x202*m.x212 - 5.6664469849*m.b14 - 5.6664469849*m.b19 >= -5.6664469849) m.c247 = Constraint(expr=m.x201**2 + m.x202**2 + m.x213**2 + m.x214**2 - 2*m.x201*m.x213 - 2*m.x202*m.x214 - 7.77461689*m.b14 - 7.77461689*m.b20 >= -7.77461689) m.c248 = Constraint(expr=m.x201**2 + m.x202**2 + m.x215**2 + m.x216**2 - 2*m.x201*m.x215 - 2*m.x202*m.x216 - 7.77461689*m.b14 - 7.77461689*m.b21 >= -7.77461689) m.c249 = Constraint(expr=m.x177**2 + m.x178**2 + m.x203**2 + m.x204**2 - 2*m.x177*m.x203 - 2*m.x178*m.x204 - 2.118573403024*m.b2 - 2.118573403024*m.b15 >= -2.118573403024) m.c250 = Constraint(expr=m.x179**2 + m.x180**2 + m.x203**2 + m.x204**2 - 2*m.x180*m.x204 - 2*m.x179*m.x203 - 2.118573403024*m.b3 - 2.118573403024*m.b15 >= -2.118573403024) m.c251 = Constraint(expr=m.x181**2 + m.x182**2 + m.x203**2 + m.x204**2 - 2*m.x182*m.x204 - 2*m.x181*m.x203 - 2.118573403024*m.b4 - 2.118573403024*m.b15 >= -2.118573403024) m.c252 = Constraint(expr=m.x183**2 + m.x184**2 + m.x203**2 + m.x204**2 - 2*m.x183*m.x203 - 2*m.x184*m.x204 - 2.118573403024*m.b5 - 2.118573403024*m.b15 >= -2.118573403024) m.c253 = Constraint(expr=m.x185**2 + m.x186**2 + m.x203**2 + m.x204**2 - 2*m.x186*m.x204 - 2*m.x185*m.x203 - 2.118573403024*m.b6 - 2.118573403024*m.b15 >= -2.118573403024) m.c254 = Constraint(expr=m.x187**2 + m.x188**2 + m.x203**2 + m.x204**2 - 2*m.x187*m.x203 - 2*m.x188*m.x204 - 2.118573403024*m.b7 - 2.118573403024*m.b15 >= -2.118573403024) m.c255 = Constraint(expr=m.x189**2 + m.x190**2 + m.x203**2 + m.x204**2 - 2*m.x189*m.x203 - 2*m.x190*m.x204 - 1.436936830729*m.b8 - 1.436936830729*m.b15 >= -1.436936830729) m.c256 = Constraint(expr=m.x191**2 + m.x192**2 + m.x203**2 + m.x204**2 - 2*m.x191*m.x203 - 2*m.x192*m.x204 - 1.436936830729*m.b9 - 1.436936830729*m.b15 >= -1.436936830729) m.c257 = Constraint(expr=m.x193**2 + m.x194**2 + m.x203**2 + m.x204**2 - 2*m.x193*m.x203 - 2*m.x194*m.x204 - 1.436936830729*m.b10 - 1.436936830729*m.b15 >= -1.436936830729) m.c258 = Constraint(expr=m.x195**2 + m.x196**2 + m.x203**2 + m.x204**2 - 2*m.x195*m.x203 - 2*m.x196*m.x204 - 1.436936830729*m.b11 - 1.436936830729*m.b15 >= -1.436936830729) m.c259 = Constraint(expr=m.x197**2 + m.x198**2 + m.x203**2 + m.x204**2 - 2*m.x197*m.x203 - 2*m.x198*m.x204 - 1.436936830729*m.b12 - 1.436936830729*m.b15 >= -1.436936830729) m.c260 = Constraint(expr=m.x199**2 + m.x200**2 + m.x203**2 + m.x204**2 - 2*m.x199*m.x203 - 2*m.x200*m.x204 - 2.9321082756*m.b13 - 2.9321082756*m.b15 >= -2.9321082756) m.c261 = Constraint(expr=m.x201**2 + m.x202**2 + m.x203**2 + m.x204**2 - 2*m.x201*m.x203 - 2*m.x202*m.x204 - 2.9321082756*m.b14 - 2.9321082756*m.b15 >= -2.9321082756) m.c262 = Constraint(expr=m.x203**2 + m.x204**2 + m.x205**2 + m.x206**2 - 2*m.x203*m.x205 - 2*m.x204*m.x206 - 2.9321082756*m.b15 - 2.9321082756*m.b16 >= -2.9321082756) m.c263 = Constraint(expr=m.x203**2 + m.x204**2 + m.x207**2 + m.x208**2 - 2*m.x203*m.x207 - 2*m.x204*m.x208 - 5.6664469849*m.b15 - 5.6664469849*m.b17 >= -5.6664469849) m.c264 = Constraint(expr=m.x203**2 + m.x204**2 + m.x209**2 + m.x210**2 - 2*m.x203*m.x209 - 2*m.x204*m.x210 - 5.6664469849*m.b15 - 5.6664469849*m.b18 >= -5.6664469849) m.c265 = Constraint(expr=m.x203**2 + m.x204**2 + m.x211**2 + m.x212**2 - 2*m.x203*m.x211 - 2*m.x204*m.x212 - 5.6664469849*m.b15 - 5.6664469849*m.b19 >= -5.6664469849) m.c266 = Constraint(expr=m.x203**2 + m.x204**2 + m.x213**2 + m.x214**2 - 2*m.x203*m.x213 - 2*m.x204*m.x214 - 7.77461689*m.b15 - 7.77461689*m.b20 >= -7.77461689) m.c267 = Constraint(expr=m.x203**2 + m.x204**2 + m.x215**2 + m.x216**2 - 2*m.x203*m.x215 - 2*m.x204*m.x216 - 7.77461689*m.b15 - 7.77461689*m.b21 >= -7.77461689) m.c268 = Constraint(expr=m.x177**2 + m.x178**2 + m.x205**2 + m.x206**2 - 2*m.x178*m.x206 - 2*m.x177*m.x205 - 2.118573403024*m.b2 - 2.118573403024*m.b16 >= -2.118573403024) m.c269 = Constraint(expr=m.x179**2 + m.x180**2 + m.x205**2 + m.x206**2 - 2*m.x180*m.x206 - 2*m.x179*m.x205 - 2.118573403024*m.b3 - 2.118573403024*m.b16 >= -2.118573403024) m.c270 = Constraint(expr=m.x181**2 + m.x182**2 + m.x205**2 + m.x206**2 - 2*m.x181*m.x205 - 2*m.x182*m.x206 - 2.118573403024*m.b4 - 2.118573403024*m.b16 >= -2.118573403024) m.c271 = Constraint(expr=m.x183**2 + m.x184**2 + m.x205**2 + m.x206**2 - 2*m.x184*m.x206 - 2*m.x183*m.x205 - 2.118573403024*m.b5 - 2.118573403024*m.b16 >= -2.118573403024) m.c272 = Constraint(expr=m.x185**2 + m.x186**2 + m.x205**2 + m.x206**2 - 2*m.x186*m.x206 - 2*m.x185*m.x205 - 2.118573403024*m.b6 - 2.118573403024*m.b16 >= -2.118573403024) m.c273 = Constraint(expr=m.x187**2 + m.x188**2 + m.x205**2 + m.x206**2 - 2*m.x187*m.x205 - 2*m.x188*m.x206 - 2.118573403024*m.b7 - 2.118573403024*m.b16 >= -2.118573403024) m.c274 = Constraint(expr=m.x189**2 + m.x190**2 + m.x205**2 + m.x206**2 - 2*m.x189*m.x205 - 2*m.x190*m.x206 - 1.436936830729*m.b8 - 1.436936830729*m.b16 >= -1.436936830729) m.c275 = Constraint(expr=m.x191**2 + m.x192**2 + m.x205**2 + m.x206**2 - 2*m.x191*m.x205 - 2*m.x192*m.x206 - 1.436936830729*m.b9 - 1.436936830729*m.b16 >= -1.436936830729) m.c276 = Constraint(expr=m.x193**2 + m.x194**2 + m.x205**2 + m.x206**2 - 2*m.x193*m.x205 - 2*m.x194*m.x206 - 1.436936830729*m.b10 - 1.436936830729*m.b16 >= -1.436936830729) m.c277 = Constraint(expr=m.x195**2 + m.x196**2 + m.x205**2 + m.x206**2 - 2*m.x195*m.x205 - 2*m.x196*m.x206 - 1.436936830729*m.b11 - 1.436936830729*m.b16 >= -1.436936830729) m.c278 = Constraint(expr=m.x197**2 + m.x198**2 + m.x205**2 + m.x206**2 - 2*m.x197*m.x205 - 2*m.x198*m.x206 - 1.436936830729*m.b12 - 1.436936830729*m.b16 >= -1.436936830729) m.c279 = Constraint(expr=m.x199**2 + m.x200**2 + m.x205**2 + m.x206**2 - 2*m.x199*m.x205 - 2*m.x200*m.x206 - 2.9321082756*m.b13 - 2.9321082756*m.b16 >= -2.9321082756) m.c280 = Constraint(expr=m.x201**2 + m.x202**2 + m.x205**2 + m.x206**2 - 2*m.x201*m.x205 - 2*m.x202*m.x206 - 2.9321082756*m.b14 - 2.9321082756*m.b16 >= -2.9321082756) m.c281 = Constraint(expr=m.x203**2 + m.x204**2 + m.x205**2 + m.x206**2 - 2*m.x203*m.x205 - 2*m.x204*m.x206 - 2.9321082756*m.b15 - 2.9321082756*m.b16 >= -2.9321082756) m.c282 = Constraint(expr=m.x205**2 + m.x206**2 + m.x207**2 + m.x208**2 - 2*m.x205*m.x207 - 2*m.x206*m.x208 - 5.6664469849*m.b16 - 5.6664469849*m.b17 >= -5.6664469849) m.c283 = Constraint(expr=m.x205**2 + m.x206**2 + m.x209**2 + m.x210**2 - 2*m.x205*m.x209 - 2*m.x206*m.x210 - 5.6664469849*m.b16 - 5.6664469849*m.b18 >= -5.6664469849) m.c284 = Constraint(expr=m.x205**2 + m.x206**2 + m.x211**2 + m.x212**2 - 2*m.x205*m.x211 - 2*m.x206*m.x212 - 5.6664469849*m.b16 - 5.6664469849*m.b19 >= -5.6664469849) m.c285 = Constraint(expr=m.x205**2 + m.x206**2 + m.x213**2 + m.x214**2 - 2*m.x205*m.x213 - 2*m.x206*m.x214 - 7.77461689*m.b16 - 7.77461689*m.b20 >= -7.77461689) m.c286 = Constraint(expr=m.x205**2 + m.x206**2 + m.x215**2 + m.x216**2 - 2*m.x205*m.x215 - 2*m.x206*m.x216 - 7.77461689*m.b16 - 7.77461689*m.b21 >= -7.77461689) m.c287 = Constraint(expr=m.x177**2 + m.x178**2 + m.x207**2 + m.x208**2 - 2*m.x177*m.x207 - 2*m.x178*m.x208 - 4.509770398884*m.b2 - 4.509770398884*m.b17 >= -4.509770398884) m.c288 = Constraint(expr=m.x179**2 + m.x180**2 + m.x207**2 + m.x208**2 - 2*m.x180*m.x208 - 2*m.x179*m.x207 - 4.509770398884*m.b3 - 4.509770398884*m.b17 >= -4.509770398884) m.c289 = Constraint(expr=m.x181**2 + m.x182**2 + m.x207**2 + m.x208**2 - 2*m.x182*m.x208 - 2*m.x181*m.x207 - 4.509770398884*m.b4 - 4.509770398884*m.b17 >= -4.509770398884) m.c290 = Constraint(expr=m.x183**2 + m.x184**2 + m.x207**2 + m.x208**2 - 2*m.x183*m.x207 - 2*m.x184*m.x208 - 4.509770398884*m.b5 - 4.509770398884*m.b17 >= -4.509770398884) m.c291 = Constraint(expr=m.x185**2 + m.x186**2 + m.x207**2 + m.x208**2 - 2*m.x186*m.x208 - 2*m.x185*m.x207 - 4.509770398884*m.b6 - 4.509770398884*m.b17 >= -4.509770398884) m.c292 = Constraint(expr=m.x187**2 + m.x188**2 + m.x207**2 + m.x208**2 - 2*m.x187*m.x207 - 2*m.x188*m.x208 - 4.509770398884*m.b7 - 4.509770398884*m.b17 >= -4.509770398884) m.c293 = Constraint(expr=m.x189**2 + m.x190**2 + m.x207**2 + m.x208**2 - 2*m.x189*m.x207 - 2*m.x190*m.x208 - 3.484990776969*m.b8 - 3.484990776969*m.b17 >= -3.484990776969) m.c294 = Constraint(expr=m.x191**2 + m.x192**2 + m.x207**2 + m.x208**2 - 2*m.x191*m.x207 - 2*m.x192*m.x208 - 3.484990776969*m.b9 - 3.484990776969*m.b17 >= -3.484990776969) m.c295 = Constraint(expr=m.x193**2 + m.x194**2 + m.x207**2 + m.x208**2 - 2*m.x193*m.x207 - 2*m.x194*m.x208 - 3.484990776969*m.b10 - 3.484990776969*m.b17 >= -3.484990776969) m.c296 = Constraint(expr=m.x195**2 + m.x196**2 + m.x207**2 + m.x208**2 - 2*m.x195*m.x207 - 2*m.x196*m.x208 - 3.484990776969*m.b11 - 3.484990776969*m.b17 >= -3.484990776969) m.c297 = Constraint(expr=m.x197**2 + m.x198**2 + m.x207**2 + m.x208**2 - 2*m.x197*m.x207 - 2*m.x198*m.x208 - 3.484990776969*m.b12 - 3.484990776969*m.b17 >= -3.484990776969) m.c298 = Constraint(expr=m.x199**2 + m.x200**2 + m.x207**2 + m.x208**2 - 2*m.x199*m.x207 - 2*m.x200*m.x208 - 5.6664469849*m.b13 - 5.6664469849*m.b17 >= -5.6664469849) m.c299 = Constraint(expr=m.x201**2 + m.x202**2 + m.x207**2 + m.x208**2 - 2*m.x201*m.x207 - 2*m.x202*m.x208 - 5.6664469849*m.b14 - 5.6664469849*m.b17 >= -5.6664469849) m.c300 = Constraint(expr=m.x203**2 + m.x204**2 + m.x207**2 + m.x208**2 - 2*m.x203*m.x207 - 2*m.x204*m.x208 - 5.6664469849*m.b15 - 5.6664469849*m.b17 >= -5.6664469849) m.c301 = Constraint(expr=m.x205**2 + m.x206**2 + m.x207**2 + m.x208**2 - 2*m.x205*m.x207 - 2*m.x206*m.x208 - 5.6664469849*m.b16 - 5.6664469849*m.b17 >= -5.6664469849) m.c302 = Constraint(expr=m.x207**2 + m.x208**2 + m.x209**2 + m.x210**2 - 2*m.x207*m.x209 - 2*m.x208*m.x210 - 9.2934741904*m.b17 - 9.2934741904*m.b18 >= -9.2934741904) m.c303 = Constraint(expr=m.x207**2 + m.x208**2 + m.x211**2 + m.x212**2 - 2*m.x207*m.x211 - 2*m.x208*m.x212 - 9.2934741904*m.b17 - 9.2934741904*m.b19 >= -9.2934741904) m.c304 = Constraint(expr=m.x207**2 + m.x208**2 + m.x213**2 + m.x214**2 - 2*m.x207*m.x213 - 2*m.x208*m.x214 - 11.9466318321*m.b17 - 11.9466318321*m.b20 >= -11.9466318321) m.c305 = Constraint(expr=m.x207**2 + m.x208**2 + m.x215**2 + m.x216**2 - 2*m.x207*m.x215 - 2*m.x208*m.x216 - 11.9466318321*m.b17 - 11.9466318321*m.b21 >= -11.9466318321) m.c306 = Constraint(expr=m.x177**2 + m.x178**2 + m.x209**2 + m.x210**2 - 2*m.x178*m.x210 - 2*m.x177*m.x209 - 4.509770398884*m.b2 - 4.509770398884*m.b18 >= -4.509770398884) m.c307 = Constraint(expr=m.x179**2 + m.x180**2 + m.x209**2 + m.x210**2 - 2*m.x180*m.x210 - 2*m.x179*m.x209 - 4.509770398884*m.b3 - 4.509770398884*m.b18 >= -4.509770398884) m.c308 = Constraint(expr=m.x181**2 + m.x182**2 + m.x209**2 + m.x210**2 - 2*m.x182*m.x210 - 2*m.x181*m.x209 - 4.509770398884*m.b4 - 4.509770398884*m.b18 >= -4.509770398884) m.c309 = Constraint(expr=m.x183**2 + m.x184**2 + m.x209**2 + m.x210**2 - 2*m.x184*m.x210 - 2*m.x183*m.x209 - 4.509770398884*m.b5 - 4.509770398884*m.b18 >= -4.509770398884) m.c310 = Constraint(expr=m.x185**2 + m.x186**2 + m.x209**2 + m.x210**2 - 2*m.x186*m.x210 - 2*m.x185*m.x209 - 4.509770398884*m.b6 - 4.509770398884*m.b18 >= -4.509770398884) m.c311 = Constraint(expr=m.x187**2 + m.x188**2 + m.x209**2 + m.x210**2 - 2*m.x187*m.x209 - 2*m.x188*m.x210 - 4.509770398884*m.b7 - 4.509770398884*m.b18 >= -4.509770398884) m.c312 = Constraint(expr=m.x189**2 + m.x190**2 + m.x209**2 + m.x210**2 - 2*m.x189*m.x209 - 2*m.x190*m.x210 - 3.484990776969*m.b8 - 3.484990776969*m.b18 >= -3.484990776969) m.c313 = Constraint(expr=m.x191**2 + m.x192**2 + m.x209**2 + m.x210**2 - 2*m.x191*m.x209 - 2*m.x192*m.x210 - 3.484990776969*m.b9 - 3.484990776969*m.b18 >= -3.484990776969) m.c314 = Constraint(expr=m.x193**2 + m.x194**2 + m.x209**2 + m.x210**2 - 2*m.x193*m.x209 - 2*m.x194*m.x210 - 3.484990776969*m.b10 - 3.484990776969*m.b18 >= -3.484990776969) m.c315 = Constraint(expr=m.x195**2 + m.x196**2 + m.x209**2 + m.x210**2 - 2*m.x195*m.x209 - 2*m.x196*m.x210 - 3.484990776969*m.b11 - 3.484990776969*m.b18 >= -3.484990776969) m.c316 = Constraint(expr=m.x197**2 + m.x198**2 + m.x209**2 + m.x210**2 - 2*m.x197*m.x209 - 2*m.x198*m.x210 - 3.484990776969*m.b12 - 3.484990776969*m.b18 >= -3.484990776969) m.c317 = Constraint(expr=m.x199**2 + m.x200**2 + m.x209**2 + m.x210**2 - 2*m.x199*m.x209 - 2*m.x200*m.x210 - 5.6664469849*m.b13 - 5.6664469849*m.b18 >= -5.6664469849) m.c318 = Constraint(expr=m.x201**2 + m.x202**2 + m.x209**2 + m.x210**2 - 2*m.x201*m.x209 - 2*m.x202*m.x210 - 5.6664469849*m.b14 - 5.6664469849*m.b18 >= -5.6664469849) m.c319 = Constraint(expr=m.x203**2 + m.x204**2 + m.x209**2 + m.x210**2 - 2*m.x203*m.x209 - 2*m.x204*m.x210 - 5.6664469849*m.b15 - 5.6664469849*m.b18 >= -5.6664469849) m.c320 = Constraint(expr=m.x205**2 + m.x206**2 + m.x209**2 + m.x210**2 - 2*m.x205*m.x209 - 2*m.x206*m.x210 - 5.6664469849*m.b16 - 5.6664469849*m.b18 >= -5.6664469849) m.c321 = Constraint(expr=m.x207**2 + m.x208**2 + m.x209**2 + m.x210**2 - 2*m.x207*m.x209 - 2*m.x208*m.x210 - 9.2934741904*m.b17 - 9.2934741904*m.b18 >= -9.2934741904) m.c322 = Constraint(expr=m.x209**2 + m.x210**2 + m.x211**2 + m.x212**2 - 2*m.x209*m.x211 - 2*m.x210*m.x212 - 9.2934741904*m.b18 - 9.2934741904*m.b19 >= -9.2934741904) m.c323 = Constraint(expr=m.x209**2 + m.x210**2 + m.x213**2 + m.x214**2 - 2*m.x209*m.x213 - 2*m.x210*m.x214 - 11.9466318321*m.b18 - 11.9466318321*m.b20 >= -11.9466318321) m.c324 = Constraint(expr=m.x209**2 + m.x210**2 + m.x215**2 + m.x216**2 - 2*m.x209*m.x215 - 2*m.x210*m.x216 - 11.9466318321*m.b18 - 11.9466318321*m.b21 >= -11.9466318321) m.c325 = Constraint(expr=m.x177**2 + m.x178**2 + m.x211**2 + m.x212**2 - 2*m.x177*m.x211 - 2*m.x178*m.x212 - 4.509770398884*m.b2 - 4.509770398884*m.b19 >= -4.509770398884) m.c326 = Constraint(expr=m.x179**2 + m.x180**2 + m.x211**2 + m.x212**2 - 2*m.x179*m.x211 - 2*m.x180*m.x212 - 4.509770398884*m.b3 - 4.509770398884*m.b19 >= -4.509770398884) m.c327 = Constraint(expr=m.x181**2 + m.x182**2 + m.x211**2 + m.x212**2 - 2*m.x182*m.x212 - 2*m.x181*m.x211 - 4.509770398884*m.b4 - 4.509770398884*m.b19 >= -4.509770398884) m.c328 = Constraint(expr=m.x183**2 + m.x184**2 + m.x211**2 + m.x212**2 - 2*m.x183*m.x211 - 2*m.x184*m.x212 - 4.509770398884*m.b5 - 4.509770398884*m.b19 >= -4.509770398884) m.c329 = Constraint(expr=m.x185**2 + m.x186**2 + m.x211**2 + m.x212**2 - 2*m.x185*m.x211 - 2*m.x186*m.x212 - 4.509770398884*m.b6 - 4.509770398884*m.b19 >= -4.509770398884) m.c330 = Constraint(expr=m.x187**2 + m.x188**2 + m.x211**2 + m.x212**2 - 2*m.x187*m.x211 - 2*m.x188*m.x212 - 4.509770398884*m.b7 - 4.509770398884*m.b19 >= -4.509770398884) m.c331 = Constraint(expr=m.x189**2 + m.x190**2 + m.x211**2 + m.x212**2 - 2*m.x189*m.x211 - 2*m.x190*m.x212 - 3.484990776969*m.b8 - 3.484990776969*m.b19 >= -3.484990776969) m.c332 = Constraint(expr=m.x191**2 + m.x192**2 + m.x211**2 + m.x212**2 - 2*m.x191*m.x211 - 2*m.x192*m.x212 - 3.484990776969*m.b9 - 3.484990776969*m.b19 >= -3.484990776969) m.c333 = Constraint(expr=m.x193**2 + m.x194**2 + m.x211**2 + m.x212**2 - 2*m.x193*m.x211 - 2*m.x194*m.x212 - 3.484990776969*m.b10 - 3.484990776969*m.b19 >= -3.484990776969) m.c334 = Constraint(expr=m.x195**2 + m.x196**2 + m.x211**2 + m.x212**2 - 2*m.x195*m.x211 - 2*m.x196*m.x212 - 3.484990776969*m.b11 - 3.484990776969*m.b19 >= -3.484990776969) m.c335 = Constraint(expr=m.x197**2 + m.x198**2 + m.x211**2 + m.x212**2 - 2*m.x197*m.x211 - 2*m.x198*m.x212 - 3.484990776969*m.b12 - 3.484990776969*m.b19 >= -3.484990776969) m.c336 = Constraint(expr=m.x199**2 + m.x200**2 + m.x211**2 + m.x212**2 - 2*m.x199*m.x211 - 2*m.x200*m.x212 - 5.6664469849*m.b13 - 5.6664469849*m.b19 >= -5.6664469849) m.c337 = Constraint(expr=m.x201**2 + m.x202**2 + m.x211**2 + m.x212**2 - 2*m.x201*m.x211 - 2*m.x202*m.x212 - 5.6664469849*m.b14 - 5.6664469849*m.b19 >= -5.6664469849) m.c338 = Constraint(expr=m.x203**2 + m.x204**2 + m.x211**2 + m.x212**2 - 2*m.x203*m.x211 - 2*m.x204*m.x212 - 5.6664469849*m.b15 - 5.6664469849*m.b19 >= -5.6664469849) m.c339 = Constraint(expr=m.x205**2 + m.x206**2 + m.x211**2 + m.x212**2 - 2*m.x205*m.x211 - 2*m.x206*m.x212 - 5.6664469849*m.b16 - 5.6664469849*m.b19 >= -5.6664469849) m.c340 = Constraint(expr=m.x207**2 + m.x208**2 + m.x211**2 + m.x212**2 - 2*m.x207*m.x211 - 2*m.x208*m.x212 - 9.2934741904*m.b17 - 9.2934741904*m.b19 >= -9.2934741904) m.c341 = Constraint(expr=m.x209**2 + m.x210**2 + m.x211**2 + m.x212**2 - 2*m.x209*m.x211 - 2*m.x210*m.x212 - 9.2934741904*m.b18 - 9.2934741904*m.b19 >= -9.2934741904) m.c342 = Constraint(expr=m.x211**2 + m.x212**2 + m.x213**2 + m.x214**2 - 2*m.x211*m.x213 - 2*m.x212*m.x214 - 11.9466318321*m.b19 - 11.9466318321*m.b20 >= -11.9466318321) m.c343 = Constraint(expr=m.x211**2 + m.x212**2 + m.x215**2 + m.x216**2 - 2*m.x211*m.x215 - 2*m.x212*m.x216 - 11.9466318321*m.b19 - 11.9466318321*m.b21 >= -11.9466318321) m.c344 = Constraint(expr=m.x177**2 + m.x178**2 + m.x213**2 + m.x214**2 - 2*m.x177*m.x213 - 2*m.x178*m.x214 - 6.408451746064*m.b2 - 6.408451746064*m.b20 >= -6.408451746064) m.c345 = Constraint(expr=m.x179**2 + m.x180**2 + m.x213**2 + m.x214**2 - 2*m.x180*m.x214 - 2*m.x179*m.x213 - 6.408451746064*m.b3 - 6.408451746064*m.b20 >= -6.408451746064) m.c346 = Constraint(expr=m.x181**2 + m.x182**2 + m.x213**2 + m.x214**2 - 2*m.x182*m.x214 - 2*m.x181*m.x213 - 6.408451746064*m.b4 - 6.408451746064*m.b20 >= -6.408451746064) m.c347 = Constraint(expr=m.x183**2 + m.x184**2 + m.x213**2 + m.x214**2 - 2*m.x183*m.x213 - 2*m.x184*m.x214 - 6.408451746064*m.b5 - 6.408451746064*m.b20 >= -6.408451746064) m.c348 = Constraint(expr=m.x185**2 + m.x186**2 + m.x213**2 + m.x214**2 - 2*m.x186*m.x214 - 2*m.x185*m.x213 - 6.408451746064*m.b6 - 6.408451746064*m.b20 >= -6.408451746064) m.c349 = Constraint(expr=m.x187**2 + m.x188**2 + m.x213**2 + m.x214**2 - 2*m.x187*m.x213 - 2*m.x188*m.x214 - 6.408451746064*m.b7 - 6.408451746064*m.b20 >= -6.408451746064) m.c350 = Constraint(expr=m.x189**2 + m.x190**2 + m.x213**2 + m.x214**2 - 2*m.x189*m.x213 - 2*m.x190*m.x214 - 5.174182750489*m.b8 - 5.174182750489*m.b20 >= -5.174182750489) m.c351 = Constraint(expr=m.x191**2 + m.x192**2 + m.x213**2 + m.x214**2 - 2*m.x191*m.x213 - 2*m.x192*m.x214 - 5.174182750489*m.b9 - 5.174182750489*m.b20 >= -5.174182750489) m.c352 = Constraint(expr=m.x193**2 + m.x194**2 + m.x213**2 + m.x214**2 - 2*m.x193*m.x213 - 2*m.x194*m.x214 - 5.174182750489*m.b10 - 5.174182750489*m.b20 >= -5.174182750489) m.c353 = Constraint(expr=m.x195**2 + m.x196**2 + m.x213**2 + m.x214**2 - 2*m.x195*m.x213 - 2*m.x196*m.x214 - 5.174182750489*m.b11 - 5.174182750489*m.b20 >= -5.174182750489) m.c354 = Constraint(expr=m.x197**2 + m.x198**2 + m.x213**2 + m.x214**2 - 2*m.x197*m.x213 - 2*m.x198*m.x214 - 5.174182750489*m.b12 - 5.174182750489*m.b20 >= -5.174182750489) m.c355 = Constraint(expr=m.x199**2 + m.x200**2 + m.x213**2 + m.x214**2 - 2*m.x199*m.x213 - 2*m.x200*m.x214 - 7.77461689*m.b13 - 7.77461689*m.b20 >= -7.77461689) m.c356 = Constraint(expr=m.x201**2 + m.x202**2 + m.x213**2 + m.x214**2 - 2*m.x201*m.x213 - 2*m.x202*m.x214 - 7.77461689*m.b14 - 7.77461689*m.b20 >= -7.77461689) m.c357 = Constraint(expr=m.x203**2 + m.x204**2 + m.x213**2 + m.x214**2 - 2*m.x203*m.x213 - 2*m.x204*m.x214 - 7.77461689*m.b15 - 7.77461689*m.b20 >= -7.77461689) m.c358 = Constraint(expr=m.x205**2 + m.x206**2 + m.x213**2 + m.x214**2 - 2*m.x205*m.x213 - 2*m.x206*m.x214 - 7.77461689*m.b16 - 7.77461689*m.b20 >= -7.77461689) m.c359 = Constraint(expr=m.x207**2 + m.x208**2 + m.x213**2 + m.x214**2 - 2*m.x207*m.x213 - 2*m.x208*m.x214 - 11.9466318321*m.b17 - 11.9466318321*m.b20 >= -11.9466318321) m.c360 = Constraint(expr=m.x209**2 + m.x210**2 + m.x213**2 + m.x214**2 - 2*m.x209*m.x213 - 2*m.x210*m.x214 - 11.9466318321*m.b18 - 11.9466318321*m.b20 >= -11.9466318321) m.c361 = Constraint(expr=m.x211**2 + m.x212**2 + m.x213**2 + m.x214**2 - 2*m.x211*m.x213 - 2*m.x212*m.x214 - 11.9466318321*m.b19 - 11.9466318321*m.b20 >= -11.9466318321) m.c362 = Constraint(expr=m.x213**2 + m.x214**2 + m.x215**2 + m.x216**2 - 2*m.x213*m.x215 - 2*m.x214*m.x216 - 14.9325053476*m.b20 - 14.9325053476*m.b21 >= -14.9325053476) m.c363 = Constraint(expr=m.x177**2 + m.x178**2 + m.x215**2 + m.x216**2 - 2*m.x178*m.x216 - 2*m.x177*m.x215 - 6.408451746064*m.b2 - 6.408451746064*m.b21 >= -6.408451746064) m.c364 = Constraint(expr=m.x179**2 + m.x180**2 + m.x215**2 + m.x216**2 - 2*m.x180*m.x216 - 2*m.x179*m.x215 - 6.408451746064*m.b3 - 6.408451746064*m.b21 >= -6.408451746064) m.c365 = Constraint(expr=m.x181**2 + m.x182**2 + m.x215**2 + m.x216**2 - 2*m.x181*m.x215 - 2*m.x182*m.x216 - 6.408451746064*m.b4 - 6.408451746064*m.b21 >= -6.408451746064) m.c366 = Constraint(expr=m.x183**2 + m.x184**2 + m.x215**2 + m.x216**2 - 2*m.x184*m.x216 - 2*m.x183*m.x215 - 6.408451746064*m.b5 - 6.408451746064*m.b21 >= -6.408451746064) m.c367 = Constraint(expr=m.x185**2 + m.x186**2 + m.x215**2 + m.x216**2 - 2*m.x186*m.x216 - 2*m.x185*m.x215 - 6.408451746064*m.b6 - 6.408451746064*m.b21 >= -6.408451746064) m.c368 = Constraint(expr=m.x187**2 + m.x188**2 + m.x215**2 + m.x216**2 - 2*m.x187*m.x215 - 2*m.x188*m.x216 - 6.408451746064*m.b7 - 6.408451746064*m.b21 >= -6.408451746064) m.c369 = Constraint(expr=m.x189**2 + m.x190**2 + m.x215**2 + m.x216**2 - 2*m.x189*m.x215 - 2*m.x190*m.x216 - 5.174182750489*m.b8 - 5.174182750489*m.b21 >= -5.174182750489) m.c370 = Constraint(expr=m.x191**2 + m.x192**2 + m.x215**2 + m.x216**2 - 2*m.x191*m.x215 - 2*m.x192*m.x216 - 5.174182750489*m.b9 - 5.174182750489*m.b21 >= -5.174182750489) m.c371 = Constraint(expr=m.x193**2 + m.x194**2 + m.x215**2 + m.x216**2 - 2*m.x193*m.x215 - 2*m.x194*m.x216 - 5.174182750489*m.b10 - 5.174182750489*m.b21 >= -5.174182750489) m.c372 = Constraint(expr=m.x195**2 + m.x196**2 + m.x215**2 + m.x216**2 - 2*m.x195*m.x215 - 2*m.x196*m.x216 - 5.174182750489*m.b11 - 5.174182750489*m.b21 >= -5.174182750489) m.c373 = Constraint(expr=m.x197**2 + m.x198**2 + m.x215**2 + m.x216**2 - 2*m.x197*m.x215 - 2*m.x198*m.x216 - 5.174182750489*m.b12 - 5.174182750489*m.b21 >= -5.174182750489) m.c374 = Constraint(expr=m.x199**2 + m.x200**2 + m.x215**2 + m.x216**2 - 2*m.x199*m.x215 - 2*m.x200*m.x216 - 7.77461689*m.b13 - 7.77461689*m.b21 >= -7.77461689) m.c375 = Constraint(expr=m.x201**2 + m.x202**2 + m.x215**2 + m.x216**2 - 2*m.x201*m.x215 - 2*m.x202*m.x216 - 7.77461689*m.b14 - 7.77461689*m.b21 >= -7.77461689) m.c376 = Constraint(expr=m.x203**2 + m.x204**2 + m.x215**2 + m.x216**2 - 2*m.x203*m.x215 - 2*m.x204*m.x216 - 7.77461689*m.b15 - 7.77461689*m.b21 >= -7.77461689) m.c377 = Constraint(expr=m.x205**2 + m.x206**2 + m.x215**2 + m.x216**2 - 2*m.x205*m.x215 - 2*m.x206*m.x216 - 7.77461689*m.b16 - 7.77461689*m.b21 >= -7.77461689) m.c378 = Constraint(expr=m.x207**2 + m.x208**2 + m.x215**2 + m.x216**2 - 2*m.x207*m.x215 - 2*m.x208*m.x216 - 11.9466318321*m.b17 - 11.9466318321*m.b21 >= -11.9466318321) m.c379 = Constraint(expr=m.x209**2 + m.x210**2 + m.x215**2 + m.x216**2 - 2*m.x209*m.x215 - 2*m.x210*m.x216 - 11.9466318321*m.b18 - 11.9466318321*m.b21 >= -11.9466318321) m.c380 = Constraint(expr=m.x211**2 + m.x212**2 + m.x215**2 + m.x216**2 - 2*m.x211*m.x215 - 2*m.x212*m.x216 - 11.9466318321*m.b19 - 11.9466318321*m.b21 >= -11.9466318321) m.c381 = Constraint(expr=m.x213**2 + m.x214**2 + m.x215**2 + m.x216**2 - 2*m.x213*m.x215 - 2*m.x214*m.x216 - 14.9325053476*m.b20 - 14.9325053476*m.b21 >= -14.9325053476) m.c382 = Constraint(expr=m.x189**2 + m.x190**2 + m.x191**2 + m.x192**2 - 2*m.x189*m.x191 - 2*m.x190*m.x192 - 0.469370231236*m.b76 - 0.469370231236*m.b91 >= -0.469370231236) m.c383 = Constraint(expr=m.x189**2 + m.x190**2 + m.x193**2 + m.x194**2 - 2*m.x189*m.x193 - 2*m.x190*m.x194 - 0.469370231236*m.b76 - 0.469370231236*m.b106 >= -0.469370231236) m.c384 = Constraint(expr=m.x189**2 + m.x190**2 + m.x195**2 + m.x196**2 - 2*m.x189*m.x195 - 2*m.x190*m.x196 - 0.469370231236*m.b76 - 0.469370231236*m.b121 >= -0.469370231236) m.c385 = Constraint(expr=m.x189**2 + m.x190**2 + m.x197**2 + m.x198**2 - 2*m.x189*m.x197 - 2*m.x190*m.x198 - 0.469370231236*m.b76 - 0.469370231236*m.b136 >= -0.469370231236) m.c386 = Constraint(expr=m.x189**2 + m.x190**2 + m.x191**2 + m.x192**2 - 2*m.x189*m.x191 - 2*m.x190*m.x192 - 0.469370231236*m.b76 - 0.469370231236*m.b91 >= -0.469370231236) m.c387 = Constraint(expr=m.x191**2 + m.x192**2 + m.x193**2 + m.x194**2 - 2*m.x191*m.x193 - 2*m.x192*m.x194 - 0.469370231236*m.b91 - 0.469370231236*m.b106 >= -0.469370231236) m.c388 = Constraint(expr=m.x191**2 + m.x192**2 + m.x195**2 + m.x196**2 - 2*m.x191*m.x195 - 2*m.x192*m.x196 - 0.469370231236*m.b91 - 0.469370231236*m.b121 >= -0.469370231236) m.c389 = Constraint(expr=m.x191**2 + m.x192**2 + m.x197**2 + m.x198**2 - 2*m.x191*m.x197 - 2*m.x192*m.x198 - 0.469370231236*m.b91 - 0.469370231236*m.b136 >= -0.469370231236) m.c390 = Constraint(expr=m.x189**2 + m.x190**2 + m.x193**2 + m.x194**2 - 2*m.x189*m.x193 - 2*m.x190*m.x194 - 0.469370231236*m.b76 - 0.469370231236*m.b106 >= -0.469370231236) m.c391 = Constraint(expr=m.x191**2 + m.x192**2 + m.x193**2 + m.x194**2 - 2*m.x191*m.x193 - 2*m.x192*m.x194 - 0.469370231236*m.b91 - 0.469370231236*m.b106 >= -0.469370231236) m.c392 = Constraint(expr=m.x193**2 + m.x194**2 + m.x195**2 + m.x196**2 - 2*m.x193*m.x195 - 2*m.x194*m.x196 - 0.469370231236*m.b106 - 0.469370231236*m.b121 >= -0.469370231236) m.c393 = Constraint(expr=m.x193**2 + m.x194**2 + m.x197**2 + m.x198**2 - 2*m.x193*m.x197 - 2*m.x194*m.x198 - 0.469370231236*m.b106 - 0.469370231236*m.b136 >= -0.469370231236) m.c394 = Constraint(expr=m.x189**2 + m.x190**2 + m.x195**2 + m.x196**2 - 2*m.x189*m.x195 - 2*m.x190*m.x196 - 0.469370231236*m.b76 - 0.469370231236*m.b121 >= -0.469370231236) m.c395 = Constraint(expr=m.x191**2 + m.x192**2 + m.x195**2 + m.x196**2 - 2*m.x191*m.x195 - 2*m.x192*m.x196 - 0.469370231236*m.b91 - 0.469370231236*m.b121 >= -0.469370231236) m.c396 = Constraint(expr=m.x193**2 + m.x194**2 + m.x195**2 + m.x196**2 - 2*m.x193*m.x195 - 2*m.x194*m.x196 - 0.469370231236*m.b106 - 0.469370231236*m.b121 >= -0.469370231236) m.c397 = Constraint(expr=m.x195**2 + m.x196**2 + m.x197**2 + m.x198**2 - 2*m.x195*m.x197 - 2*m.x196*m.x198 - 0.469370231236*m.b121 - 0.469370231236*m.b136 >= -0.469370231236) m.c398 = Constraint(expr=m.x189**2 + m.x190**2 + m.x197**2 + m.x198**2 - 2*m.x189*m.x197 - 2*m.x190*m.x198 - 0.469370231236*m.b76 - 0.469370231236*m.b136 >= -0.469370231236) m.c399 = Constraint(expr=m.x191**2 + m.x192**2 + m.x197**2 + m.x198**2 - 2*m.x191*m.x197 - 2*m.x192*m.x198 - 0.469370231236*m.b91 - 0.469370231236*m.b136 >= -0.469370231236) m.c400 = Constraint(expr=m.x193**2 + m.x194**2 + m.x197**2 + m.x198**2 - 2*m.x193*m.x197 - 2*m.x194*m.x198 - 0.469370231236*m.b106 - 0.469370231236*m.b136 >= -0.469370231236) m.c401 = Constraint(expr=m.x195**2 + m.x196**2 + m.x197**2 + m.x198**2 - 2*m.x195*m.x197 - 2*m.x196*m.x198 - 0.469370231236*m.b121 - 0.469370231236*m.b136 >= -0.469370231236) m.c402 = Constraint(expr=m.x189**2 + m.x190**2 + m.x191**2 + m.x192**2 - 2*m.x189*m.x191 - 2*m.x190*m.x192 - 0.469370231236*m.b77 - 0.469370231236*m.b92 >= -0.469370231236) m.c403 = Constraint(expr=m.x189**2 + m.x190**2 + m.x193**2 + m.x194**2 - 2*m.x189*m.x193 - 2*m.x190*m.x194 - 0.469370231236*m.b77 - 0.469370231236*m.b107 >= -0.469370231236) m.c404 = Constraint(expr=m.x189**2 + m.x190**2 + m.x195**2 + m.x196**2 - 2*m.x189*m.x195 - 2*m.x190*m.x196 - 0.469370231236*m.b77 - 0.469370231236*m.b122 >= -0.469370231236) m.c405 = Constraint(expr=m.x189**2 + m.x190**2 + m.x197**2 + m.x198**2 - 2*m.x189*m.x197 - 2*m.x190*m.x198 - 0.469370231236*m.b77 - 0.469370231236*m.b137 >= -0.469370231236) m.c406 = Constraint(expr=m.x189**2 + m.x190**2 + m.x191**2 + m.x192**2 - 2*m.x189*m.x191 - 2*m.x190*m.x192 - 0.469370231236*m.b77 - 0.469370231236*m.b92 >= -0.469370231236) m.c407 = Constraint(expr=m.x191**2 + m.x192**2 + m.x193**2 + m.x194**2 - 2*m.x191*m.x193 - 2*m.x192*m.x194 - 0.469370231236*m.b92 - 0.469370231236*m.b107 >= -0.469370231236) m.c408 = Constraint(expr=m.x191**2 + m.x192**2 + m.x195**2 + m.x196**2 - 2*m.x191*m.x195 - 2*m.x192*m.x196 - 0.469370231236*m.b92 - 0.469370231236*m.b122 >= -0.469370231236) m.c409 = Constraint(expr=m.x191**2 + m.x192**2 + m.x197**2 + m.x198**2 - 2*m.x191*m.x197 - 2*m.x192*m.x198 - 0.469370231236*m.b92 - 0.469370231236*m.b137 >= -0.469370231236) m.c410 = Constraint(expr=m.x189**2 + m.x190**2 + m.x193**2 + m.x194**2 - 2*m.x189*m.x193 - 2*m.x190*m.x194 - 0.469370231236*m.b77 - 0.469370231236*m.b107 >= -0.469370231236) m.c411 = Constraint(expr=m.x191**2 + m.x192**2 + m.x193**2 + m.x194**2 - 2*m.x191*m.x193 - 2*m.x192*m.x194 - 0.469370231236*m.b92 - 0.469370231236*m.b107 >= -0.469370231236) m.c412 = Constraint(expr=m.x193**2 + m.x194**2 + m.x195**2 + m.x196**2 - 2*m.x193*m.x195 - 2*m.x194*m.x196 - 0.469370231236*m.b107 - 0.469370231236*m.b122 >= -0.469370231236) m.c413 = Constraint(expr=m.x193**2 + m.x194**2 + m.x197**2 + m.x198**2 - 2*m.x193*m.x197 - 2*m.x194*m.x198 - 0.469370231236*m.b107 - 0.469370231236*m.b137 >= -0.469370231236) m.c414 = Constraint(expr=m.x189**2 + m.x190**2 + m.x195**2 + m.x196**2 - 2*m.x189*m.x195 - 2*m.x190*m.x196 - 0.469370231236*m.b77 - 0.469370231236*m.b122 >= -0.469370231236) m.c415 = Constraint(expr=m.x191**2 + m.x192**2 + m.x195**2 + m.x196**2 - 2*m.x191*m.x195 - 2*m.x192*m.x196 - 0.469370231236*m.b92 - 0.469370231236*m.b122 >= -0.469370231236) m.c416 = Constraint(expr=m.x193**2 + m.x194**2 + m.x195**2 + m.x196**2 - 2*m.x193*m.x195 - 2*m.x194*m.x196 - 0.469370231236*m.b107 - 0.469370231236*m.b122 >= -0.469370231236) m.c417 = Constraint(expr=m.x195**2 + m.x196**2 + m.x197**2 + m.x198**2 - 2*m.x195*m.x197 - 2*m.x196*m.x198 - 0.469370231236*m.b122 - 0.469370231236*m.b137 >= -0.469370231236) m.c418 = Constraint(expr=m.x189**2 + m.x190**2 + m.x197**2 + m.x198**2 - 2*m.x189*m.x197 - 2*m.x190*m.x198 - 0.469370231236*m.b77 - 0.469370231236*m.b137 >= -0.469370231236) m.c419 = Constraint(expr=m.x191**2 + m.x192**2 + m.x197**2 + m.x198**2 - 2*m.x191*m.x197 - 2*m.x192*m.x198 - 0.469370231236*m.b92 - 0.469370231236*m.b137 >= -0.469370231236) m.c420 = Constraint(expr=m.x193**2 + m.x194**2 + m.x197**2 + m.x198**2 - 2*m.x193*m.x197 - 2*m.x194*m.x198 - 0.469370231236*m.b107 - 0.469370231236*m.b137 >= -0.469370231236) m.c421 = Constraint(expr=m.x195**2 + m.x196**2 + m.x197**2 + m.x198**2 - 2*m.x195*m.x197 - 2*m.x196*m.x198 - 0.469370231236*m.b122 - 0.469370231236*m.b137 >= -0.469370231236) m.c422 = Constraint(expr=m.x189**2 + m.x190**2 + m.x191**2 + m.x192**2 - 2*m.x189*m.x191 - 2*m.x190*m.x192 - 0.469370231236*m.b78 - 0.469370231236*m.b93 >= -0.469370231236) m.c423 = Constraint(expr=m.x189**2 + m.x190**2 + m.x193**2 + m.x194**2 - 2*m.x189*m.x193 - 2*m.x190*m.x194 - 0.469370231236*m.b78 - 0.469370231236*m.b108 >= -0.469370231236) m.c424 = Constraint(expr=m.x189**2 + m.x190**2 + m.x195**2 + m.x196**2 - 2*m.x189*m.x195 - 2*m.x190*m.x196 - 0.469370231236*m.b78 - 0.469370231236*m.b123 >= -0.469370231236) m.c425 = Constraint(expr=m.x189**2 + m.x190**2 + m.x197**2 + m.x198**2 - 2*m.x189*m.x197 - 2*m.x190*m.x198 - 0.469370231236*m.b78 - 0.469370231236*m.b138 >= -0.469370231236) m.c426 = Constraint(expr=m.x189**2 + m.x190**2 + m.x191**2 + m.x192**2 - 2*m.x189*m.x191 - 2*m.x190*m.x192 - 0.469370231236*m.b78 - 0.469370231236*m.b93 >= -0.469370231236) m.c427 = Constraint(expr=m.x191**2 + m.x192**2 + m.x193**2 + m.x194**2 - 2*m.x191*m.x193 - 2*m.x192*m.x194 - 0.469370231236*m.b93 - 0.469370231236*m.b108 >= -0.469370231236) m.c428 = Constraint(expr=m.x191**2 + m.x192**2 + m.x195**2 + m.x196**2 - 2*m.x191*m.x195 - 2*m.x192*m.x196 - 0.469370231236*m.b93 - 0.469370231236*m.b123 >= -0.469370231236) m.c429 = Constraint(expr=m.x191**2 + m.x192**2 + m.x197**2 + m.x198**2 - 2*m.x191*m.x197 - 2*m.x192*m.x198 - 0.469370231236*m.b93 - 0.469370231236*m.b138 >= -0.469370231236) m.c430 = Constraint(expr=m.x189**2 + m.x190**2 + m.x193**2 + m.x194**2 - 2*m.x189*m.x193 - 2*m.x190*m.x194 - 0.469370231236*m.b78 - 0.469370231236*m.b108 >= -0.469370231236) m.c431 = Constraint(expr=m.x191**2 + m.x192**2 + m.x193**2 + m.x194**2 - 2*m.x191*m.x193 - 2*m.x192*m.x194 - 0.469370231236*m.b93 - 0.469370231236*m.b108 >= -0.469370231236) m.c432 = Constraint(expr=m.x193**2 + m.x194**2 + m.x195**2 + m.x196**2 - 2*m.x193*m.x195 - 2*m.x194*m.x196 - 0.469370231236*m.b108 - 0.469370231236*m.b123 >= -0.469370231236) m.c433 = Constraint(expr=m.x193**2 + m.x194**2 + m.x197**2 + m.x198**2 - 2*m.x193*m.x197 - 2*m.x194*m.x198 - 0.469370231236*m.b108 - 0.469370231236*m.b138 >= -0.469370231236) m.c434 = Constraint(expr=m.x189**2 + m.x190**2 + m.x195**2 + m.x196**2 - 2*m.x189*m.x195 - 2*m.x190*m.x196 - 0.469370231236*m.b78 - 0.469370231236*m.b123 >= -0.469370231236) m.c435 = Constraint(expr=m.x191**2 + m.x192**2 + m.x195**2 + m.x196**2 - 2*m.x191*m.x195 - 2*m.x192*m.x196 - 0.469370231236*m.b93 - 0.469370231236*m.b123 >= -0.469370231236) m.c436 = Constraint(expr=m.x193**2 + m.x194**2 + m.x195**2 + m.x196**2 - 2*m.x193*m.x195 - 2*m.x194*m.x196 - 0.469370231236*m.b108 - 0.469370231236*m.b123 >= -0.469370231236) m.c437 = Constraint(expr=m.x195**2 + m.x196**2 + m.x197**2 + m.x198**2 - 2*m.x195*m.x197 - 2*m.x196*m.x198 - 0.469370231236*m.b123 - 0.469370231236*m.b138 >= -0.469370231236) m.c438 = Constraint(expr=m.x189**2 + m.x190**2 + m.x197**2 + m.x198**2 - 2*m.x189*m.x197 - 2*m.x190*m.x198 - 0.469370231236*m.b78 - 0.469370231236*m.b138 >= -0.469370231236) m.c439 = Constraint(expr=m.x191**2 + m.x192**2 + m.x197**2 + m.x198**2 - 2*m.x191*m.x197 - 2*m.x192*m.x198 - 0.469370231236*m.b93 - 0.469370231236*m.b138 >= -0.469370231236) m.c440 = Constraint(expr=m.x193**2 + m.x194**2 + m.x197**2 + m.x198**2 - 2*m.x193*m.x197 - 2*m.x194*m.x198 - 0.469370231236*m.b108 - 0.469370231236*m.b138 >= -0.469370231236) m.c441 = Constraint(expr=m.x195**2 + m.x196**2 + m.x197**2 + m.x198**2 - 2*m.x195*m.x197 - 2*m.x196*m.x198 - 0.469370231236*m.b123 - 0.469370231236*m.b138 >= -0.469370231236) m.c442 = Constraint(expr=m.x189**2 + m.x190**2 + m.x191**2 + m.x192**2 - 2*m.x189*m.x191 - 2*m.x190*m.x192 - 0.469370231236*m.b79 - 0.469370231236*m.b94 >= -0.469370231236) m.c443 = Constraint(expr=m.x189**2 + m.x190**2 + m.x193**2 + m.x194**2 - 2*m.x189*m.x193 - 2*m.x190*m.x194 - 0.469370231236*m.b79 - 0.469370231236*m.b109 >= -0.469370231236) m.c444 = Constraint(expr=m.x189**2 + m.x190**2 + m.x195**2 + m.x196**2 - 2*m.x189*m.x195 - 2*m.x190*m.x196 - 0.469370231236*m.b79 - 0.469370231236*m.b124 >= -0.469370231236) m.c445 = Constraint(expr=m.x189**2 + m.x190**2 + m.x197**2 + m.x198**2 - 2*m.x189*m.x197 - 2*m.x190*m.x198 - 0.469370231236*m.b79 - 0.469370231236*m.b139 >= -0.469370231236) m.c446 = Constraint(expr=m.x189**2 + m.x190**2 + m.x191**2 + m.x192**2 - 2*m.x189*m.x191 - 2*m.x190*m.x192 - 0.469370231236*m.b79 - 0.469370231236*m.b94 >= -0.469370231236) m.c447 = Constraint(expr=m.x191**2 + m.x192**2 + m.x193**2 + m.x194**2 - 2*m.x191*m.x193 - 2*m.x192*m.x194 - 0.469370231236*m.b94 - 0.469370231236*m.b109 >= -0.469370231236) m.c448 = Constraint(expr=m.x191**2 + m.x192**2 + m.x195**2 + m.x196**2 - 2*m.x191*m.x195 - 2*m.x192*m.x196 - 0.469370231236*m.b94 - 0.469370231236*m.b124 >= -0.469370231236) m.c449 = Constraint(expr=m.x191**2 + m.x192**2 + m.x197**2 + m.x198**2 - 2*m.x191*m.x197 - 2*m.x192*m.x198 - 0.469370231236*m.b94 - 0.469370231236*m.b139 >= -0.469370231236) m.c450 = Constraint(expr=m.x189**2 + m.x190**2 + m.x193**2 + m.x194**2 - 2*m.x189*m.x193 - 2*m.x190*m.x194 - 0.469370231236*m.b79 - 0.469370231236*m.b109 >= -0.469370231236) m.c451 = Constraint(expr=m.x191**2 + m.x192**2 + m.x193**2 + m.x194**2 - 2*m.x191*m.x193 - 2*m.x192*m.x194 - 0.469370231236*m.b94 - 0.469370231236*m.b109 >= -0.469370231236) m.c452 = Constraint(expr=m.x193**2 + m.x194**2 + m.x195**2 + m.x196**2 - 2*m.x193*m.x195 - 2*m.x194*m.x196 - 0.469370231236*m.b109 - 0.469370231236*m.b124 >= -0.469370231236) m.c453 = Constraint(expr=m.x193**2 + m.x194**2 + m.x197**2 + m.x198**2 - 2*m.x193*m.x197 - 2*m.x194*m.x198 - 0.469370231236*m.b109 - 0.469370231236*m.b139 >= -0.469370231236) m.c454 = Constraint(expr=m.x189**2 + m.x190**2 + m.x195**2 + m.x196**2 - 2*m.x189*m.x195 - 2*m.x190*m.x196 - 0.469370231236*m.b79 - 0.469370231236*m.b124 >= -0.469370231236) m.c455 = Constraint(expr=m.x191**2 + m.x192**2 + m.x195**2 + m.x196**2 - 2*m.x191*m.x195 - 2*m.x192*m.x196 - 0.469370231236*m.b94 - 0.469370231236*m.b124 >= -0.469370231236) m.c456 = Constraint(expr=m.x193**2 + m.x194**2 + m.x195**2 + m.x196**2 - 2*m.x193*m.x195 - 2*m.x194*m.x196 - 0.469370231236*m.b109 - 0.469370231236*m.b124 >= -0.469370231236) m.c457 = Constraint(expr=m.x195**2 + m.x196**2 + m.x197**2 + m.x198**2 - 2*m.x195*m.x197 - 2*m.x196*m.x198 - 0.469370231236*m.b124 - 0.469370231236*m.b139 >= -0.469370231236) m.c458 = Constraint(expr=m.x189**2 + m.x190**2 + m.x197**2 + m.x198**2 - 2*m.x189*m.x197 - 2*m.x190*m.x198 - 0.469370231236*m.b79 - 0.469370231236*m.b139 >= -0.469370231236) m.c459 = Constraint(expr=m.x191**2 + m.x192**2 + m.x197**2 + m.x198**2 - 2*m.x191*m.x197 - 2*m.x192*m.x198 - 0.469370231236*m.b94 - 0.469370231236*m.b139 >= -0.469370231236) m.c460 = Constraint(expr=m.x193**2 + m.x194**2 + m.x197**2 + m.x198**2 - 2*m.x193*m.x197 - 2*m.x194*m.x198 - 0.469370231236*m.b109 - 0.469370231236*m.b139 >= -0.469370231236) m.c461 = Constraint(expr=m.x195**2 + m.x196**2 + m.x197**2 + m.x198**2 - 2*m.x195*m.x197 - 2*m.x196*m.x198 - 0.469370231236*m.b124 - 0.469370231236*m.b139 >= -0.469370231236) m.c462 = Constraint(expr=m.x189**2 + m.x190**2 + m.x191**2 + m.x192**2 - 2*m.x189*m.x191 - 2*m.x190*m.x192 - 0.469370231236*m.b80 - 0.469370231236*m.b95 >= -0.469370231236) m.c463 = Constraint(expr=m.x189**2 + m.x190**2 + m.x193**2 + m.x194**2 - 2*m.x189*m.x193 - 2*m.x190*m.x194 - 0.469370231236*m.b80 - 0.469370231236*m.b110 >= -0.469370231236) m.c464 = Constraint(expr=m.x189**2 + m.x190**2 + m.x195**2 + m.x196**2 - 2*m.x189*m.x195 - 2*m.x190*m.x196 - 0.469370231236*m.b80 - 0.469370231236*m.b125 >= -0.469370231236) m.c465 = Constraint(expr=m.x189**2 + m.x190**2 + m.x197**2 + m.x198**2 - 2*m.x189*m.x197 - 2*m.x190*m.x198 - 0.469370231236*m.b80 - 0.469370231236*m.b140 >= -0.469370231236) m.c466 = Constraint(expr=m.x189**2 + m.x190**2 + m.x191**2 + m.x192**2 - 2*m.x189*m.x191 - 2*m.x190*m.x192 - 0.469370231236*m.b80 - 0.469370231236*m.b95 >= -0.469370231236) m.c467 = Constraint(expr=m.x191**2 + m.x192**2 + m.x193**2 + m.x194**2 - 2*m.x191*m.x193 - 2*m.x192*m.x194 - 0.469370231236*m.b95 - 0.469370231236*m.b110 >= -0.469370231236) m.c468 = Constraint(expr=m.x191**2 + m.x192**2 + m.x195**2 + m.x196**2 - 2*m.x191*m.x195 - 2*m.x192*m.x196 - 0.469370231236*m.b95 - 0.469370231236*m.b125 >= -0.469370231236) m.c469 = Constraint(expr=m.x191**2 + m.x192**2 + m.x197**2 + m.x198**2 - 2*m.x191*m.x197 - 2*m.x192*m.x198 - 0.469370231236*m.b95 - 0.469370231236*m.b140 >= -0.469370231236) m.c470 = Constraint(expr=m.x189**2 + m.x190**2 + m.x193**2 + m.x194**2 - 2*m.x189*m.x193 - 2*m.x190*m.x194 - 0.469370231236*m.b80 - 0.469370231236*m.b110 >= -0.469370231236) m.c471 = Constraint(expr=m.x191**2 + m.x192**2 + m.x193**2 + m.x194**2 - 2*m.x191*m.x193 - 2*m.x192*m.x194 - 0.469370231236*m.b95 - 0.469370231236*m.b110 >= -0.469370231236) m.c472 = Constraint(expr=m.x193**2 + m.x194**2 + m.x195**2 + m.x196**2 - 2*m.x193*m.x195 - 2*m.x194*m.x196 - 0.469370231236*m.b110 - 0.469370231236*m.b125 >= -0.469370231236) m.c473 = Constraint(expr=m.x193**2 + m.x194**2 + m.x197**2 + m.x198**2 - 2*m.x193*m.x197 - 2*m.x194*m.x198 - 0.469370231236*m.b110 - 0.469370231236*m.b140 >= -0.469370231236) m.c474 = Constraint(expr=m.x189**2 + m.x190**2 + m.x195**2 + m.x196**2 - 2*m.x189*m.x195 - 2*m.x190*m.x196 - 0.469370231236*m.b80 - 0.469370231236*m.b125 >= -0.469370231236) m.c475 = Constraint(expr=m.x191**2 + m.x192**2 + m.x195**2 + m.x196**2 - 2*m.x191*m.x195 - 2*m.x192*m.x196 - 0.469370231236*m.b95 - 0.469370231236*m.b125 >= -0.469370231236) m.c476 = Constraint(expr=m.x193**2 + m.x194**2 + m.x195**2 + m.x196**2 - 2*m.x193*m.x195 - 2*m.x194*m.x196 - 0.469370231236*m.b110 - 0.469370231236*m.b125 >= -0.469370231236) m.c477 = Constraint(expr=m.x195**2 + m.x196**2 + m.x197**2 + m.x198**2 - 2*m.x195*m.x197 - 2*m.x196*m.x198 - 0.469370231236*m.b125 - 0.469370231236*m.b140 >= -0.469370231236) m.c478 = Constraint(expr=m.x189**2 + m.x190**2 + m.x197**2 + m.x198**2 - 2*m.x189*m.x197 - 2*m.x190*m.x198 - 0.469370231236*m.b80 - 0.469370231236*m.b140 >= -0.469370231236) m.c479 = Constraint(expr=m.x191**2 + m.x192**2 + m.x197**2 + m.x198**2 - 2*m.x191*m.x197 - 2*m.x192*m.x198 - 0.469370231236*m.b95 - 0.469370231236*m.b140 >= -0.469370231236) m.c480 = Constraint(expr=m.x193**2 + m.x194**2 + m.x197**2 + m.x198**2 - 2*m.x193*m.x197 - 2*m.x194*m.x198 - 0.469370231236*m.b110 - 0.469370231236*m.b140 >= -0.469370231236) m.c481 = Constraint(expr=m.x195**2 + m.x196**2 + m.x197**2 + m.x198**2 - 2*m.x195*m.x197 - 2*m.x196*m.x198 - 0.469370231236*m.b125 - 0.469370231236*m.b140 >= -0.469370231236) m.c482 = Constraint(expr=m.x189**2 + m.x190**2 + m.x191**2 + m.x192**2 - 2*m.x189*m.x191 - 2*m.x190*m.x192 - 0.469370231236*m.b81 - 0.469370231236*m.b96 >= -0.469370231236) m.c483 = Constraint(expr=m.x189**2 + m.x190**2 + m.x193**2 + m.x194**2 - 2*m.x189*m.x193 - 2*m.x190*m.x194 - 0.469370231236*m.b81 - 0.469370231236*m.b111 >= -0.469370231236) m.c484 = Constraint(expr=m.x189**2 + m.x190**2 + m.x195**2 + m.x196**2 - 2*m.x189*m.x195 - 2*m.x190*m.x196 - 0.469370231236*m.b81 - 0.469370231236*m.b126 >= -0.469370231236) m.c485 = Constraint(expr=m.x189**2 + m.x190**2 + m.x197**2 + m.x198**2 - 2*m.x189*m.x197 - 2*m.x190*m.x198 - 0.469370231236*m.b81 - 0.469370231236*m.b141 >= -0.469370231236) m.c486 = Constraint(expr=m.x189**2 + m.x190**2 + m.x191**2 + m.x192**2 - 2*m.x189*m.x191 - 2*m.x190*m.x192 - 0.469370231236*m.b81 - 0.469370231236*m.b96 >= -0.469370231236) m.c487 = Constraint(expr=m.x191**2 + m.x192**2 + m.x193**2 + m.x194**2 - 2*m.x191*m.x193 - 2*m.x192*m.x194 - 0.469370231236*m.b96 - 0.469370231236*m.b111 >= -0.469370231236) m.c488 = Constraint(expr=m.x191**2 + m.x192**2 + m.x195**2 + m.x196**2 - 2*m.x191*m.x195 - 2*m.x192*m.x196 - 0.469370231236*m.b96 - 0.469370231236*m.b126 >= -0.469370231236) m.c489 = Constraint(expr=m.x191**2 + m.x192**2 + m.x197**2 + m.x198**2 - 2*m.x191*m.x197 - 2*m.x192*m.x198 - 0.469370231236*m.b96 - 0.469370231236*m.b141 >= -0.469370231236) m.c490 = Constraint(expr=m.x189**2 + m.x190**2 + m.x193**2 + m.x194**2 - 2*m.x189*m.x193 - 2*m.x190*m.x194 - 0.469370231236*m.b81 - 0.469370231236*m.b111 >= -0.469370231236) m.c491 = Constraint(expr=m.x191**2 + m.x192**2 + m.x193**2 + m.x194**2 - 2*m.x191*m.x193 - 2*m.x192*m.x194 - 0.469370231236*m.b96 - 0.469370231236*m.b111 >= -0.469370231236) m.c492 = Constraint(expr=m.x193**2 + m.x194**2 + m.x195**2 + m.x196**2 - 2*m.x193*m.x195 - 2*m.x194*m.x196 - 0.469370231236*m.b111 - 0.469370231236*m.b126 >= -0.469370231236) m.c493 = Constraint(expr=m.x193**2 + m.x194**2 + m.x197**2 + m.x198**2 - 2*m.x193*m.x197 - 2*m.x194*m.x198 - 0.469370231236*m.b111 - 0.469370231236*m.b141 >= -0.469370231236) m.c494 = Constraint(expr=m.x189**2 + m.x190**2 + m.x195**2 + m.x196**2 - 2*m.x189*m.x195 - 2*m.x190*m.x196 - 0.469370231236*m.b81 - 0.469370231236*m.b126 >= -0.469370231236) m.c495 = Constraint(expr=m.x191**2 + m.x192**2 + m.x195**2 + m.x196**2 - 2*m.x191*m.x195 - 2*m.x192*m.x196 - 0.469370231236*m.b96 - 0.469370231236*m.b126 >= -0.469370231236) m.c496 = Constraint(expr=m.x193**2 + m.x194**2 + m.x195**2 + m.x196**2 - 2*m.x193*m.x195 - 2*m.x194*m.x196 - 0.469370231236*m.b111 - 0.469370231236*m.b126 >= -0.469370231236) m.c497 = Constraint(expr=m.x195**2 + m.x196**2 + m.x197**2 + m.x198**2 - 2*m.x195*m.x197 - 2*m.x196*m.x198 - 0.469370231236*m.b126 - 0.469370231236*m.b141 >= -0.469370231236) m.c498 = Constraint(expr=m.x189**2 + m.x190**2 + m.x197**2 + m.x198**2 - 2*m.x189*m.x197 - 2*m.x190*m.x198 - 0.469370231236*m.b81 - 0.469370231236*m.b141 >= -0.469370231236) m.c499 = Constraint(expr=m.x191**2 + m.x192**2 + m.x197**2 + m.x198**2 - 2*m.x191*m.x197 - 2*m.x192*m.x198 - 0.469370231236*m.b96 - 0.469370231236*m.b141 >= -0.469370231236) m.c500 = Constraint(expr=m.x193**2 + m.x194**2 + m.x197**2 + m.x198**2 - 2*m.x193*m.x197 - 2*m.x194*m.x198 - 0.469370231236*m.b111 - 0.469370231236*m.b141 >= -0.469370231236) m.c501 = Constraint(expr=m.x195**2 + m.x196**2 + m.x197**2 + m.x198**2 - 2*m.x195*m.x197 - 2*m.x196*m.x198 - 0.469370231236*m.b126 - 0.469370231236*m.b141 >= -0.469370231236) m.c502 = Constraint(expr=m.x177**2 + m.x178**2 + m.x179**2 + m.x180**2 - 2*m.x177*m.x179 - 2*m.x178*m.x180 - 1.436939228176*m.b22 - 1.436939228176*m.b31 >= -1.436939228176) m.c503 = Constraint(expr=m.x177**2 + m.x178**2 + m.x181**2 + m.x182**2 - 2*m.x177*m.x181 - 2*m.x178*m.x182 - 1.436939228176*m.b22 - 1.436939228176*m.b40 >= -1.436939228176) m.c504 = Constraint(expr=m.x177**2 + m.x178**2 + m.x183**2 + m.x184**2 - 2*m.x177*m.x183 - 2*m.x178*m.x184 - 1.436939228176*m.b22 - 1.436939228176*m.b49 >= -1.436939228176) m.c505 = Constraint(expr=m.x177**2 + m.x178**2 + m.x185**2 + m.x186**2 - 2*m.x177*m.x185 - 2*m.x178*m.x186 - 1.436939228176*m.b22 - 1.436939228176*m.b58 >= -1.436939228176) m.c506 = Constraint(expr=m.x177**2 + m.x178**2 + m.x187**2 + m.x188**2 - 2*m.x178*m.x188 - 2*m.x177*m.x187 - 1.436939228176*m.b22 - 1.436939228176*m.b67 >= -1.436939228176) m.c507 = Constraint(expr=m.x177**2 + m.x178**2 + m.x189**2 + m.x190**2 - 2*m.x177*m.x189 - 2*m.x178*m.x190 - 0.887203867225*m.b22 - 0.887203867225*m.b82 >= -0.887203867225) m.c508 = Constraint(expr=m.x177**2 + m.x178**2 + m.x191**2 + m.x192**2 - 2*m.x178*m.x192 - 2*m.x177*m.x191 - 0.887203867225*m.b22 - 0.887203867225*m.b97 >= -0.887203867225) m.c509 = Constraint(expr=m.x177**2 + m.x178**2 + m.x193**2 + m.x194**2 - 2*m.x178*m.x194 - 2*m.x177*m.x193 - 0.887203867225*m.b22 - 0.887203867225*m.b112 >= -0.887203867225) m.c510 = Constraint(expr=m.x177**2 + m.x178**2 + m.x195**2 + m.x196**2 - 2*m.x177*m.x195 - 2*m.x178*m.x196 - 0.887203867225*m.b22 - 0.887203867225*m.b127 >= -0.887203867225) m.c511 = Constraint(expr=m.x177**2 + m.x178**2 + m.x197**2 + m.x198**2 - 2*m.x177*m.x197 - 2*m.x178*m.x198 - 0.887203867225*m.b22 - 0.887203867225*m.b142 >= -0.887203867225) m.c512 = Constraint(expr=m.x177**2 + m.x178**2 + m.x179**2 + m.x180**2 - 2*m.x177*m.x179 - 2*m.x178*m.x180 - 1.436939228176*m.b22 - 1.436939228176*m.b31 >= -1.436939228176) m.c513 = Constraint(expr=m.x179**2 + m.x180**2 + m.x181**2 + m.x182**2 - 2*m.x179*m.x181 - 2*m.x180*m.x182 - 1.436939228176*m.b31 - 1.436939228176*m.b40 >= -1.436939228176) m.c514 = Constraint(expr=m.x179**2 + m.x180**2 + m.x183**2 + m.x184**2 - 2*m.x179*m.x183 - 2*m.x180*m.x184 - 1.436939228176*m.b31 - 1.436939228176*m.b49 >= -1.436939228176) m.c515 = Constraint(expr=m.x179**2 + m.x180**2 + m.x185**2 + m.x186**2 - 2*m.x179*m.x185 - 2*m.x180*m.x186 - 1.436939228176*m.b31 - 1.436939228176*m.b58 >= -1.436939228176) m.c516 = Constraint(expr=m.x179**2 + m.x180**2 + m.x187**2 + m.x188**2 - 2*m.x179*m.x187 - 2*m.x180*m.x188 - 1.436939228176*m.b31 - 1.436939228176*m.b67 >= -1.436939228176) m.c517 = Constraint(expr=m.x179**2 + m.x180**2 + m.x189**2 + m.x190**2 - 2*m.x180*m.x190 - 2*m.x179*m.x189 - 0.887203867225*m.b31 - 0.887203867225*m.b82 >= -0.887203867225) m.c518 = Constraint(expr=m.x179**2 + m.x180**2 + m.x191**2 + m.x192**2 - 2*m.x180*m.x192 - 2*m.x179*m.x191 - 0.887203867225*m.b31 - 0.887203867225*m.b97 >= -0.887203867225) m.c519 = Constraint(expr=m.x179**2 + m.x180**2 + m.x193**2 + m.x194**2 - 2*m.x179*m.x193 - 2*m.x180*m.x194 - 0.887203867225*m.b31 - 0.887203867225*m.b112 >= -0.887203867225) m.c520 = Constraint(expr=m.x179**2 + m.x180**2 + m.x195**2 + m.x196**2 - 2*m.x180*m.x196 - 2*m.x179*m.x195 - 0.887203867225*m.b31 - 0.887203867225*m.b127 >= -0.887203867225) m.c521 = Constraint(expr=m.x179**2 + m.x180**2 + m.x197**2 + m.x198**2 - 2*m.x180*m.x198 - 2*m.x179*m.x197 - 0.887203867225*m.b31 - 0.887203867225*m.b142 >= -0.887203867225) m.c522 = Constraint(expr=m.x177**2 + m.x178**2 + m.x181**2 + m.x182**2 - 2*m.x177*m.x181 - 2*m.x178*m.x182 - 1.436939228176*m.b22 - 1.436939228176*m.b40 >= -1.436939228176) m.c523 = Constraint(expr=m.x179**2 + m.x180**2 + m.x181**2 + m.x182**2 - 2*m.x179*m.x181 - 2*m.x180*m.x182 - 1.436939228176*m.b31 - 1.436939228176*m.b40 >= -1.436939228176) m.c524 = Constraint(expr=m.x181**2 + m.x182**2 + m.x183**2 + m.x184**2 - 2*m.x181*m.x183 - 2*m.x182*m.x184 - 1.436939228176*m.b40 - 1.436939228176*m.b49 >= -1.436939228176) m.c525 = Constraint(expr=m.x181**2 + m.x182**2 + m.x185**2 + m.x186**2 - 2*m.x181*m.x185 - 2*m.x182*m.x186 - 1.436939228176*m.b40 - 1.436939228176*m.b58 >= -1.436939228176) m.c526 = Constraint(expr=m.x181**2 + m.x182**2 + m.x187**2 + m.x188**2 - 2*m.x182*m.x188 - 2*m.x181*m.x187 - 1.436939228176*m.b40 - 1.436939228176*m.b67 >= -1.436939228176) m.c527 = Constraint(expr=m.x181**2 + m.x182**2 + m.x189**2 + m.x190**2 - 2*m.x182*m.x190 - 2*m.x181*m.x189 - 0.887203867225*m.b40 - 0.887203867225*m.b82 >= -0.887203867225) m.c528 = Constraint(expr=m.x181**2 + m.x182**2 + m.x191**2 + m.x192**2 - 2*m.x181*m.x191 - 2*m.x182*m.x192 - 0.887203867225*m.b40 - 0.887203867225*m.b97 >= -0.887203867225) m.c529 = Constraint(expr=m.x181**2 + m.x182**2 + m.x193**2 + m.x194**2 - 2*m.x182*m.x194 - 2*m.x181*m.x193 - 0.887203867225*m.b40 - 0.887203867225*m.b112 >= -0.887203867225) m.c530 = Constraint(expr=m.x181**2 + m.x182**2 + m.x195**2 + m.x196**2 - 2*m.x182*m.x196 - 2*m.x181*m.x195 - 0.887203867225*m.b40 - 0.887203867225*m.b127 >= -0.887203867225) m.c531 = Constraint(expr=m.x181**2 + m.x182**2 + m.x197**2 + m.x198**2 - 2*m.x182*m.x198 - 2*m.x181*m.x197 - 0.887203867225*m.b40 - 0.887203867225*m.b142 >= -0.887203867225) m.c532 = Constraint(expr=m.x177**2 + m.x178**2 + m.x183**2 + m.x184**2 - 2*m.x177*m.x183 - 2*m.x178*m.x184 - 1.436939228176*m.b22 - 1.436939228176*m.b49 >= -1.436939228176) m.c533 = Constraint(expr=m.x179**2 + m.x180**2 + m.x183**2 + m.x184**2 - 2*m.x179*m.x183 - 2*m.x180*m.x184 - 1.436939228176*m.b31 - 1.436939228176*m.b49 >= -1.436939228176) m.c534 = Constraint(expr=m.x181**2 + m.x182**2 + m.x183**2 + m.x184**2 - 2*m.x181*m.x183 - 2*m.x182*m.x184 - 1.436939228176*m.b40 - 1.436939228176*m.b49 >= -1.436939228176) m.c535 = Constraint(expr=m.x183**2 + m.x184**2 + m.x185**2 + m.x186**2 - 2*m.x183*m.x185 - 2*m.x184*m.x186 - 1.436939228176*m.b49 - 1.436939228176*m.b58 >= -1.436939228176) m.c536 = Constraint(expr=m.x183**2 + m.x184**2 + m.x187**2 + m.x188**2 - 2*m.x184*m.x188 - 2*m.x183*m.x187 - 1.436939228176*m.b49 - 1.436939228176*m.b67 >= -1.436939228176) m.c537 = Constraint(expr=m.x183**2 + m.x184**2 + m.x189**2 + m.x190**2 - 2*m.x183*m.x189 - 2*m.x184*m.x190 - 0.887203867225*m.b49 - 0.887203867225*m.b82 >= -0.887203867225) m.c538 = Constraint(expr=m.x183**2 + m.x184**2 + m.x191**2 + m.x192**2 - 2*m.x184*m.x192 - 2*m.x183*m.x191 - 0.887203867225*m.b49 - 0.887203867225*m.b97 >= -0.887203867225) m.c539 = Constraint(expr=m.x183**2 + m.x184**2 + m.x193**2 + m.x194**2 - 2*m.x184*m.x194 - 2*m.x183*m.x193 - 0.887203867225*m.b49 - 0.887203867225*m.b112 >= -0.887203867225) m.c540 = Constraint(expr=m.x183**2 + m.x184**2 + m.x195**2 + m.x196**2 - 2*m.x183*m.x195 - 2*m.x184*m.x196 - 0.887203867225*m.b49 - 0.887203867225*m.b127 >= -0.887203867225) m.c541 = Constraint(expr=m.x183**2 + m.x184**2 + m.x197**2 + m.x198**2 - 2*m.x183*m.x197 - 2*m.x184*m.x198 - 0.887203867225*m.b49 - 0.887203867225*m.b142 >= -0.887203867225) m.c542 = Constraint(expr=m.x177**2 + m.x178**2 + m.x185**2 + m.x186**2 - 2*m.x177*m.x185 - 2*m.x178*m.x186 - 1.436939228176*m.b22 - 1.436939228176*m.b58 >= -1.436939228176) m.c543 = Constraint(expr=m.x179**2 + m.x180**2 + m.x185**2 + m.x186**2 - 2*m.x179*m.x185 - 2*m.x180*m.x186 - 1.436939228176*m.b31 - 1.436939228176*m.b58 >= -1.436939228176) m.c544 = Constraint(expr=m.x181**2 + m.x182**2 + m.x185**2 + m.x186**2 - 2*m.x181*m.x185 - 2*m.x182*m.x186 - 1.436939228176*m.b40 - 1.436939228176*m.b58 >= -1.436939228176) m.c545 = Constraint(expr=m.x183**2 + m.x184**2 + m.x185**2 + m.x186**2 - 2*m.x183*m.x185 - 2*m.x184*m.x186 - 1.436939228176*m.b49 - 1.436939228176*m.b58 >= -1.436939228176) m.c546 = Constraint(expr=m.x185**2 + m.x186**2 + m.x187**2 + m.x188**2 - 2*m.x185*m.x187 - 2*m.x186*m.x188 - 1.436939228176*m.b58 - 1.436939228176*m.b67 >= -1.436939228176) m.c547 = Constraint(expr=m.x185**2 + m.x186**2 + m.x189**2 + m.x190**2 - 2*m.x186*m.x190 - 2*m.x185*m.x189 - 0.887203867225*m.b58 - 0.887203867225*m.b82 >= -0.887203867225) m.c548 = Constraint(expr=m.x185**2 + m.x186**2 + m.x191**2 + m.x192**2 - 2*m.x186*m.x192 - 2*m.x185*m.x191 - 0.887203867225*m.b58 - 0.887203867225*m.b97 >= -0.887203867225) m.c549 = Constraint(expr=m.x185**2 + m.x186**2 + m.x193**2 + m.x194**2 - 2*m.x185*m.x193 - 2*m.x186*m.x194 - 0.887203867225*m.b58 - 0.887203867225*m.b112 >= -0.887203867225) m.c550 = Constraint(expr=m.x185**2 + m.x186**2 + m.x195**2 + m.x196**2 - 2*m.x186*m.x196 - 2*m.x185*m.x195 - 0.887203867225*m.b58 - 0.887203867225*m.b127 >= -0.887203867225) m.c551 = Constraint(expr=m.x185**2 + m.x186**2 + m.x197**2 + m.x198**2 - 2*m.x186*m.x198 - 2*m.x185*m.x197 - 0.887203867225*m.b58 - 0.887203867225*m.b142 >= -0.887203867225) m.c552 = Constraint(expr=m.x177**2 + m.x178**2 + m.x187**2 + m.x188**2 - 2*m.x178*m.x188 - 2*m.x177*m.x187 - 1.436939228176*m.b22 - 1.436939228176*m.b67 >= -1.436939228176) m.c553 = Constraint(expr=m.x179**2 + m.x180**2 + m.x187**2 + m.x188**2 - 2*m.x179*m.x187 - 2*m.x180*m.x188 - 1.436939228176*m.b31 - 1.436939228176*m.b67 >= -1.436939228176) m.c554 = Constraint(expr=m.x181**2 + m.x182**2 + m.x187**2 + m.x188**2 - 2*m.x182*m.x188 - 2*m.x181*m.x187 - 1.436939228176*m.b40 - 1.436939228176*m.b67 >= -1.436939228176) m.c555 = Constraint(expr=m.x183**2 + m.x184**2 + m.x187**2 + m.x188**2 - 2*m.x184*m.x188 - 2*m.x183*m.x187 - 1.436939228176*m.b49 - 1.436939228176*m.b67 >= -1.436939228176) m.c556 = Constraint(expr=m.x185**2 + m.x186**2 + m.x187**2 + m.x188**2 - 2*m.x185*m.x187 - 2*m.x186*m.x188 - 1.436939228176*m.b58 - 1.436939228176*m.b67 >= -1.436939228176) m.c557 = Constraint(expr=m.x187**2 + m.x188**2 + m.x189**2 + m.x190**2 - 2*m.x187*m.x189 - 2*m.x188*m.x190 - 0.887203867225*m.b67 - 0.887203867225*m.b82 >= -0.887203867225) m.c558 = Constraint(expr=m.x187**2 + m.x188**2 + m.x191**2 + m.x192**2 - 2*m.x187*m.x191 - 2*m.x188*m.x192 - 0.887203867225*m.b67 - 0.887203867225*m.b97 >= -0.887203867225) m.c559 = Constraint(expr=m.x187**2 + m.x188**2 + m.x193**2 + m.x194**2 - 2*m.x187*m.x193 - 2*m.x188*m.x194 - 0.887203867225*m.b67 - 0.887203867225*m.b112 >= -0.887203867225) m.c560 = Constraint(expr=m.x187**2 + m.x188**2 + m.x195**2 + m.x196**2 - 2*m.x187*m.x195 - 2*m.x188*m.x196 - 0.887203867225*m.b67 - 0.887203867225*m.b127 >= -0.887203867225) m.c561 = Constraint(expr=m.x187**2 + m.x188**2 + m.x197**2 + m.x198**2 - 2*m.x187*m.x197 - 2*m.x188*m.x198 - 0.887203867225*m.b67 - 0.887203867225*m.b142 >= -0.887203867225) m.c562 = Constraint(expr=m.x177**2 + m.x178**2 + m.x189**2 + m.x190**2 - 2*m.x177*m.x189 - 2*m.x178*m.x190 - 0.887203867225*m.b22 - 0.887203867225*m.b82 >= -0.887203867225) m.c563 = Constraint(expr=m.x179**2 + m.x180**2 + m.x189**2 + m.x190**2 - 2*m.x180*m.x190 - 2*m.x179*m.x189 - 0.887203867225*m.b31 - 0.887203867225*m.b82 >= -0.887203867225) m.c564 = Constraint(expr=m.x181**2 + m.x182**2 + m.x189**2 + m.x190**2 - 2*m.x182*m.x190 - 2*m.x181*m.x189 - 0.887203867225*m.b40 - 0.887203867225*m.b82 >= -0.887203867225) m.c565 = Constraint(expr=m.x183**2 + m.x184**2 + m.x189**2 + m.x190**2 - 2*m.x183*m.x189 - 2*m.x184*m.x190 - 0.887203867225*m.b49 - 0.887203867225*m.b82 >= -0.887203867225) m.c566 = Constraint(expr=m.x185**2 + m.x186**2 + m.x189**2 + m.x190**2 - 2*m.x186*m.x190 - 2*m.x185*m.x189 - 0.887203867225*m.b58 - 0.887203867225*m.b82 >= -0.887203867225) m.c567 = Constraint(expr=m.x187**2 + m.x188**2 + m.x189**2 + m.x190**2 - 2*m.x187*m.x189 - 2*m.x188*m.x190 - 0.887203867225*m.b67 - 0.887203867225*m.b82 >= -0.887203867225) m.c568 = Constraint(expr=m.x189**2 + m.x190**2 + m.x191**2 + m.x192**2 - 2*m.x189*m.x191 - 2*m.x190*m.x192 - 0.469370231236*m.b82 - 0.469370231236*m.b97 >= -0.469370231236) m.c569 = Constraint(expr=m.x189**2 + m.x190**2 + m.x193**2 + m.x194**2 - 2*m.x189*m.x193 - 2*m.x190*m.x194 - 0.469370231236*m.b82 - 0.469370231236*m.b112 >= -0.469370231236) m.c570 = Constraint(expr=m.x189**2 + m.x190**2 + m.x195**2 + m.x196**2 - 2*m.x189*m.x195 - 2*m.x190*m.x196 - 0.469370231236*m.b82 - 0.469370231236*m.b127 >= -0.469370231236) m.c571 = Constraint(expr=m.x189**2 + m.x190**2 + m.x197**2 + m.x198**2 - 2*m.x189*m.x197 - 2*m.x190*m.x198 - 0.469370231236*m.b82 - 0.469370231236*m.b142 >= -0.469370231236) m.c572 = Constraint(expr=m.x177**2 + m.x178**2 + m.x191**2 + m.x192**2 - 2*m.x178*m.x192 - 2*m.x177*m.x191 - 0.887203867225*m.b22 - 0.887203867225*m.b97 >= -0.887203867225) m.c573 = Constraint(expr=m.x179**2 + m.x180**2 + m.x191**2 + m.x192**2 - 2*m.x180*m.x192 - 2*m.x179*m.x191 - 0.887203867225*m.b31 - 0.887203867225*m.b97 >= -0.887203867225) m.c574 = Constraint(expr=m.x181**2 + m.x182**2 + m.x191**2 + m.x192**2 - 2*m.x181*m.x191 - 2*m.x182*m.x192 - 0.887203867225*m.b40 - 0.887203867225*m.b97 >= -0.887203867225) m.c575 = Constraint(expr=m.x183**2 + m.x184**2 + m.x191**2 + m.x192**2 - 2*m.x184*m.x192 - 2*m.x183*m.x191 - 0.887203867225*m.b49 - 0.887203867225*m.b97 >= -0.887203867225) m.c576 = Constraint(expr=m.x185**2 + m.x186**2 + m.x191**2 + m.x192**2 - 2*m.x186*m.x192 - 2*m.x185*m.x191 - 0.887203867225*m.b58 - 0.887203867225*m.b97 >= -0.887203867225) m.c577 = Constraint(expr=m.x187**2 + m.x188**2 + m.x191**2 + m.x192**2 - 2*m.x187*m.x191 - 2*m.x188*m.x192 - 0.887203867225*m.b67 - 0.887203867225*m.b97 >= -0.887203867225) m.c578 = Constraint(expr=m.x189**2 + m.x190**2 + m.x191**2 + m.x192**2 - 2*m.x189*m.x191 - 2*m.x190*m.x192 - 0.469370231236*m.b82 - 0.469370231236*m.b97 >= -0.469370231236) m.c579 = Constraint(expr=m.x191**2 + m.x192**2 + m.x193**2 + m.x194**2 - 2*m.x191*m.x193 - 2*m.x192*m.x194 - 0.469370231236*m.b97 - 0.469370231236*m.b112 >= -0.469370231236) m.c580 = Constraint(expr=m.x191**2 + m.x192**2 + m.x195**2 + m.x196**2 - 2*m.x191*m.x195 - 2*m.x192*m.x196 - 0.469370231236*m.b97 - 0.469370231236*m.b127 >= -0.469370231236) m.c581 = Constraint(expr=m.x191**2 + m.x192**2 + m.x197**2 + m.x198**2 - 2*m.x191*m.x197 - 2*m.x192*m.x198 - 0.469370231236*m.b97 - 0.469370231236*m.b142 >= -0.469370231236) m.c582 = Constraint(expr=m.x177**2 + m.x178**2 + m.x193**2 + m.x194**2 - 2*m.x178*m.x194 - 2*m.x177*m.x193 - 0.887203867225*m.b22 - 0.887203867225*m.b112 >= -0.887203867225) m.c583 = Constraint(expr=m.x179**2 + m.x180**2 + m.x193**2 + m.x194**2 - 2*m.x179*m.x193 - 2*m.x180*m.x194 - 0.887203867225*m.b31 - 0.887203867225*m.b112 >= -0.887203867225) m.c584 = Constraint(expr=m.x181**2 + m.x182**2 + m.x193**2 + m.x194**2 - 2*m.x182*m.x194 - 2*m.x181*m.x193 - 0.887203867225*m.b40 - 0.887203867225*m.b112 >= -0.887203867225) m.c585 = Constraint(expr=m.x183**2 + m.x184**2 + m.x193**2 + m.x194**2 - 2*m.x184*m.x194 - 2*m.x183*m.x193 - 0.887203867225*m.b49 - 0.887203867225*m.b112 >= -0.887203867225) m.c586 = Constraint(expr=m.x185**2 + m.x186**2 + m.x193**2 + m.x194**2 - 2*m.x185*m.x193 - 2*m.x186*m.x194 - 0.887203867225*m.b58 - 0.887203867225*m.b112 >= -0.887203867225) m.c587 = Constraint(expr=m.x187**2 + m.x188**2 + m.x193**2 + m.x194**2 - 2*m.x187*m.x193 - 2*m.x188*m.x194 - 0.887203867225*m.b67 - 0.887203867225*m.b112 >= -0.887203867225) m.c588 = Constraint(expr=m.x189**2 + m.x190**2 + m.x193**2 + m.x194**2 - 2*m.x189*m.x193 - 2*m.x190*m.x194 - 0.469370231236*m.b82 - 0.469370231236*m.b112 >= -0.469370231236) m.c589 = Constraint(expr=m.x191**2 + m.x192**2 + m.x193**2 + m.x194**2 - 2*m.x191*m.x193 - 2*m.x192*m.x194 - 0.469370231236*m.b97 - 0.469370231236*m.b112 >= -0.469370231236) m.c590 = Constraint(expr=m.x193**2 + m.x194**2 + m.x195**2 + m.x196**2 - 2*m.x193*m.x195 - 2*m.x194*m.x196 - 0.469370231236*m.b112 - 0.469370231236*m.b127 >= -0.469370231236) m.c591 = Constraint(expr=m.x193**2 + m.x194**2 + m.x197**2 + m.x198**2 - 2*m.x193*m.x197 - 2*m.x194*m.x198 - 0.469370231236*m.b112 - 0.469370231236*m.b142 >= -0.469370231236) m.c592 = Constraint(expr=m.x177**2 + m.x178**2 + m.x195**2 + m.x196**2 - 2*m.x177*m.x195 - 2*m.x178*m.x196 - 0.887203867225*m.b22 - 0.887203867225*m.b127 >= -0.887203867225) m.c593 = Constraint(expr=m.x179**2 + m.x180**2 + m.x195**2 + m.x196**2 - 2*m.x180*m.x196 - 2*m.x179*m.x195 - 0.887203867225*m.b31 - 0.887203867225*m.b127 >= -0.887203867225) m.c594 = Constraint(expr=m.x181**2 + m.x182**2 + m.x195**2 + m.x196**2 - 2*m.x182*m.x196 - 2*m.x181*m.x195 - 0.887203867225*m.b40 - 0.887203867225*m.b127 >= -0.887203867225) m.c595 = Constraint(expr=m.x183**2 + m.x184**2 + m.x195**2 + m.x196**2 - 2*m.x183*m.x195 - 2*m.x184*m.x196 - 0.887203867225*m.b49 - 0.887203867225*m.b127 >= -0.887203867225) m.c596 = Constraint(expr=m.x185**2 + m.x186**2 + m.x195**2 + m.x196**2 - 2*m.x186*m.x196 - 2*m.x185*m.x195 - 0.887203867225*m.b58 - 0.887203867225*m.b127 >= -0.887203867225) m.c597 = Constraint(expr=m.x187**2 + m.x188**2 + m.x195**2 + m.x196**2 - 2*m.x187*m.x195 - 2*m.x188*m.x196 - 0.887203867225*m.b67 - 0.887203867225*m.b127 >= -0.887203867225) m.c598 = Constraint(expr=m.x189**2 + m.x190**2 + m.x195**2 + m.x196**2 - 2*m.x189*m.x195 - 2*m.x190*m.x196 - 0.469370231236*m.b82 - 0.469370231236*m.b127 >= -0.469370231236) m.c599 = Constraint(expr=m.x191**2 + m.x192**2 + m.x195**2 + m.x196**2 - 2*m.x191*m.x195 - 2*m.x192*m.x196 - 0.469370231236*m.b97 - 0.469370231236*m.b127 >= -0.469370231236) m.c600 = Constraint(expr=m.x193**2 + m.x194**2 + m.x195**2 + m.x196**2 - 2*m.x193*m.x195 - 2*m.x194*m.x196 - 0.469370231236*m.b112 - 0.469370231236*m.b127 >= -0.469370231236) m.c601 = Constraint(expr=m.x195**2 + m.x196**2 + m.x197**2 + m.x198**2 - 2*m.x195*m.x197 - 2*m.x196*m.x198 - 0.469370231236*m.b127 - 0.469370231236*m.b142 >= -0.469370231236) m.c602 = Constraint(expr=m.x177**2 + m.x178**2 + m.x197**2 + m.x198**2 - 2*m.x177*m.x197 - 2*m.x178*m.x198 - 0.887203867225*m.b22 - 0.887203867225*m.b142 >= -0.887203867225) m.c603 = Constraint(expr=m.x179**2 + m.x180**2 + m.x197**2 + m.x198**2 - 2*m.x180*m.x198 - 2*m.x179*m.x197 - 0.887203867225*m.b31 - 0.887203867225*m.b142 >= -0.887203867225) m.c604 = Constraint(expr=m.x181**2 + m.x182**2 + m.x197**2 + m.x198**2 - 2*m.x182*m.x198 - 2*m.x181*m.x197 - 0.887203867225*m.b40 - 0.887203867225*m.b142 >= -0.887203867225) m.c605 = Constraint(expr=m.x183**2 + m.x184**2 + m.x197**2 + m.x198**2 - 2*m.x183*m.x197 - 2*m.x184*m.x198 - 0.887203867225*m.b49 - 0.887203867225*m.b142 >= -0.887203867225) m.c606 = Constraint(expr=m.x185**2 + m.x186**2 + m.x197**2 + m.x198**2 - 2*m.x186*m.x198 - 2*m.x185*m.x197 - 0.887203867225*m.b58 - 0.887203867225*m.b142 >= -0.887203867225) m.c607 = Constraint(expr=m.x187**2 + m.x188**2 + m.x197**2 + m.x198**2 - 2*m.x187*m.x197 - 2*m.x188*m.x198 - 0.887203867225*m.b67 - 0.887203867225*m.b142 >= -0.887203867225) m.c608 = Constraint(expr=m.x189**2 + m.x190**2 + m.x197**2 + m.x198**2 - 2*m.x189*m.x197 - 2*m.x190*m.x198 - 0.469370231236*m.b82 - 0.469370231236*m.b142 >= -0.469370231236) m.c609 = Constraint(expr=m.x191**2 + m.x192**2 + m.x197**2 + m.x198**2 - 2*m.x191*m.x197 - 2*m.x192*m.x198 - 0.469370231236*m.b97 - 0.469370231236*m.b142 >= -0.469370231236) m.c610 = Constraint(expr=m.x193**2 + m.x194**2 + m.x197**2 + m.x198**2 - 2*m.x193*m.x197 - 2*m.x194*m.x198 - 0.469370231236*m.b112 - 0.469370231236*m.b142 >= -0.469370231236) m.c611 = Constraint(expr=m.x195**2 + m.x196**2 + m.x197**2 + m.x198**2 - 2*m.x195*m.x197 - 2*m.x196*m.x198 - 0.469370231236*m.b127 - 0.469370231236*m.b142 >= -0.469370231236) m.c612 = Constraint(expr=m.x177**2 + m.x178**2 + m.x179**2 + m.x180**2 - 2*m.x177*m.x179 - 2*m.x178*m.x180 - 1.436939228176*m.b23 - 1.436939228176*m.b32 >= -1.436939228176) m.c613 = Constraint(expr=m.x177**2 + m.x178**2 + m.x181**2 + m.x182**2 - 2*m.x177*m.x181 - 2*m.x178*m.x182 - 1.436939228176*m.b23 - 1.436939228176*m.b41 >= -1.436939228176) m.c614 = Constraint(expr=m.x177**2 + m.x178**2 + m.x183**2 + m.x184**2 - 2*m.x177*m.x183 - 2*m.x178*m.x184 - 1.436939228176*m.b23 - 1.436939228176*m.b50 >= -1.436939228176) m.c615 = Constraint(expr=m.x177**2 + m.x178**2 + m.x185**2 + m.x186**2 - 2*m.x177*m.x185 - 2*m.x178*m.x186 - 1.436939228176*m.b23 - 1.436939228176*m.b59 >= -1.436939228176) m.c616 = Constraint(expr=m.x177**2 + m.x178**2 + m.x187**2 + m.x188**2 - 2*m.x178*m.x188 - 2*m.x177*m.x187 - 1.436939228176*m.b23 - 1.436939228176*m.b68 >= -1.436939228176) m.c617 = Constraint(expr=m.x177**2 + m.x178**2 + m.x189**2 + m.x190**2 - 2*m.x177*m.x189 - 2*m.x178*m.x190 - 0.887203867225*m.b23 - 0.887203867225*m.b83 >= -0.887203867225) m.c618 = Constraint(expr=m.x177**2 + m.x178**2 + m.x191**2 + m.x192**2 - 2*m.x178*m.x192 - 2*m.x177*m.x191 - 0.887203867225*m.b23 - 0.887203867225*m.b98 >= -0.887203867225) m.c619 = Constraint(expr=m.x177**2 + m.x178**2 + m.x193**2 + m.x194**2 - 2*m.x178*m.x194 - 2*m.x177*m.x193 - 0.887203867225*m.b23 - 0.887203867225*m.b113 >= -0.887203867225) m.c620 = Constraint(expr=m.x177**2 + m.x178**2 + m.x195**2 + m.x196**2 - 2*m.x177*m.x195 - 2*m.x178*m.x196 - 0.887203867225*m.b23 - 0.887203867225*m.b128 >= -0.887203867225) m.c621 = Constraint(expr=m.x177**2 + m.x178**2 + m.x197**2 + m.x198**2 - 2*m.x177*m.x197 - 2*m.x178*m.x198 - 0.887203867225*m.b23 - 0.887203867225*m.b143 >= -0.887203867225) m.c622 = Constraint(expr=m.x177**2 + m.x178**2 + m.x179**2 + m.x180**2 - 2*m.x177*m.x179 - 2*m.x178*m.x180 - 1.436939228176*m.b23 - 1.436939228176*m.b32 >= -1.436939228176) m.c623 = Constraint(expr=m.x179**2 + m.x180**2 + m.x181**2 + m.x182**2 - 2*m.x179*m.x181 - 2*m.x180*m.x182 - 1.436939228176*m.b32 - 1.436939228176*m.b41 >= -1.436939228176) m.c624 = Constraint(expr=m.x179**2 + m.x180**2 + m.x183**2 + m.x184**2 - 2*m.x179*m.x183 - 2*m.x180*m.x184 - 1.436939228176*m.b32 - 1.436939228176*m.b50 >= -1.436939228176) m.c625 = Constraint(expr=m.x179**2 + m.x180**2 + m.x185**2 + m.x186**2 - 2*m.x179*m.x185 - 2*m.x180*m.x186 - 1.436939228176*m.b32 - 1.436939228176*m.b59 >= -1.436939228176) m.c626 = Constraint(expr=m.x179**2 + m.x180**2 + m.x187**2 + m.x188**2 - 2*m.x179*m.x187 - 2*m.x180*m.x188 - 1.436939228176*m.b32 - 1.436939228176*m.b68 >= -1.436939228176) m.c627 = Constraint(expr=m.x179**2 + m.x180**2 + m.x189**2 + m.x190**2 - 2*m.x180*m.x190 - 2*m.x179*m.x189 - 0.887203867225*m.b32 - 0.887203867225*m.b83 >= -0.887203867225) m.c628 = Constraint(expr=m.x179**2 + m.x180**2 + m.x191**2 + m.x192**2 - 2*m.x180*m.x192 - 2*m.x179*m.x191 - 0.887203867225*m.b32 - 0.887203867225*m.b98 >= -0.887203867225) m.c629 = Constraint(expr=m.x179**2 + m.x180**2 + m.x193**2 + m.x194**2 - 2*m.x179*m.x193 - 2*m.x180*m.x194 - 0.887203867225*m.b32 - 0.887203867225*m.b113 >= -0.887203867225) m.c630 = Constraint(expr=m.x179**2 + m.x180**2 + m.x195**2 + m.x196**2 - 2*m.x180*m.x196 - 2*m.x179*m.x195 - 0.887203867225*m.b32 - 0.887203867225*m.b128 >= -0.887203867225) m.c631 = Constraint(expr=m.x179**2 + m.x180**2 + m.x197**2 + m.x198**2 - 2*m.x180*m.x198 - 2*m.x179*m.x197 - 0.887203867225*m.b32 - 0.887203867225*m.b143 >= -0.887203867225) m.c632 = Constraint(expr=m.x177**2 + m.x178**2 + m.x181**2 + m.x182**2 - 2*m.x177*m.x181 - 2*m.x178*m.x182 - 1.436939228176*m.b23 - 1.436939228176*m.b41 >= -1.436939228176) m.c633 = Constraint(expr=m.x179**2 + m.x180**2 + m.x181**2 + m.x182**2 - 2*m.x179*m.x181 - 2*m.x180*m.x182 - 1.436939228176*m.b32 - 1.436939228176*m.b41 >= -1.436939228176) m.c634 = Constraint(expr=m.x181**2 + m.x182**2 + m.x183**2 + m.x184**2 - 2*m.x181*m.x183 - 2*m.x182*m.x184 - 1.436939228176*m.b41 - 1.436939228176*m.b50 >= -1.436939228176) m.c635 = Constraint(expr=m.x181**2 + m.x182**2 + m.x185**2 + m.x186**2 - 2*m.x181*m.x185 - 2*m.x182*m.x186 - 1.436939228176*m.b41 - 1.436939228176*m.b59 >= -1.436939228176) m.c636 = Constraint(expr=m.x181**2 + m.x182**2 + m.x187**2 + m.x188**2 - 2*m.x182*m.x188 - 2*m.x181*m.x187 - 1.436939228176*m.b41 - 1.436939228176*m.b68 >= -1.436939228176) m.c637 = Constraint(expr=m.x181**2 + m.x182**2 + m.x189**2 + m.x190**2 - 2*m.x182*m.x190 - 2*m.x181*m.x189 - 0.887203867225*m.b41 - 0.887203867225*m.b83 >= -0.887203867225) m.c638 = Constraint(expr=m.x181**2 + m.x182**2 + m.x191**2 + m.x192**2 - 2*m.x181*m.x191 - 2*m.x182*m.x192 - 0.887203867225*m.b41 - 0.887203867225*m.b98 >= -0.887203867225) m.c639 = Constraint(expr=m.x181**2 + m.x182**2 + m.x193**2 + m.x194**2 - 2*m.x182*m.x194 - 2*m.x181*m.x193 - 0.887203867225*m.b41 - 0.887203867225*m.b113 >= -0.887203867225) m.c640 = Constraint(expr=m.x181**2 + m.x182**2 + m.x195**2 + m.x196**2 - 2*m.x182*m.x196 - 2*m.x181*m.x195 - 0.887203867225*m.b41 - 0.887203867225*m.b128 >= -0.887203867225) m.c641 = Constraint(expr=m.x181**2 + m.x182**2 + m.x197**2 + m.x198**2 - 2*m.x182*m.x198 - 2*m.x181*m.x197 - 0.887203867225*m.b41 - 0.887203867225*m.b143 >= -0.887203867225) m.c642 = Constraint(expr=m.x177**2 + m.x178**2 + m.x183**2 + m.x184**2 - 2*m.x177*m.x183 - 2*m.x178*m.x184 - 1.436939228176*m.b23 - 1.436939228176*m.b50 >= -1.436939228176) m.c643 = Constraint(expr=m.x179**2 + m.x180**2 + m.x183**2 + m.x184**2 - 2*m.x179*m.x183 - 2*m.x180*m.x184 - 1.436939228176*m.b32 - 1.436939228176*m.b50 >= -1.436939228176) m.c644 = Constraint(expr=m.x181**2 + m.x182**2 + m.x183**2 + m.x184**2 - 2*m.x181*m.x183 - 2*m.x182*m.x184 - 1.436939228176*m.b41 - 1.436939228176*m.b50 >= -1.436939228176) m.c645 = Constraint(expr=m.x183**2 + m.x184**2 + m.x185**2 + m.x186**2 - 2*m.x183*m.x185 - 2*m.x184*m.x186 - 1.436939228176*m.b50 - 1.436939228176*m.b59 >= -1.436939228176) m.c646 = Constraint(expr=m.x183**2 + m.x184**2 + m.x187**2 + m.x188**2 - 2*m.x184*m.x188 - 2*m.x183*m.x187 - 1.436939228176*m.b50 - 1.436939228176*m.b68 >= -1.436939228176) m.c647 = Constraint(expr=m.x183**2 + m.x184**2 + m.x189**2 + m.x190**2 - 2*m.x183*m.x189 - 2*m.x184*m.x190 - 0.887203867225*m.b50 - 0.887203867225*m.b83 >= -0.887203867225) m.c648 = Constraint(expr=m.x183**2 + m.x184**2 + m.x191**2 + m.x192**2 - 2*m.x184*m.x192 - 2*m.x183*m.x191 - 0.887203867225*m.b50 - 0.887203867225*m.b98 >= -0.887203867225) m.c649 = Constraint(expr=m.x183**2 + m.x184**2 + m.x193**2 + m.x194**2 - 2*m.x184*m.x194 - 2*m.x183*m.x193 - 0.887203867225*m.b50 - 0.887203867225*m.b113 >= -0.887203867225) m.c650 = Constraint(expr=m.x183**2 + m.x184**2 + m.x195**2 + m.x196**2 - 2*m.x183*m.x195 - 2*m.x184*m.x196 - 0.887203867225*m.b50 - 0.887203867225*m.b128 >= -0.887203867225) m.c651 = Constraint(expr=m.x183**2 + m.x184**2 + m.x197**2 + m.x198**2 - 2*m.x183*m.x197 - 2*m.x184*m.x198 - 0.887203867225*m.b50 - 0.887203867225*m.b143 >= -0.887203867225) m.c652 = Constraint(expr=m.x177**2 + m.x178**2 + m.x185**2 + m.x186**2 - 2*m.x177*m.x185 - 2*m.x178*m.x186 - 1.436939228176*m.b23 - 1.436939228176*m.b59 >= -1.436939228176) m.c653 = Constraint(expr=m.x179**2 + m.x180**2 + m.x185**2 + m.x186**2 - 2*m.x179*m.x185 - 2*m.x180*m.x186 - 1.436939228176*m.b32 - 1.436939228176*m.b59 >= -1.436939228176) m.c654 = Constraint(expr=m.x181**2 + m.x182**2 + m.x185**2 + m.x186**2 - 2*m.x181*m.x185 - 2*m.x182*m.x186 - 1.436939228176*m.b41 - 1.436939228176*m.b59 >= -1.436939228176) m.c655 = Constraint(expr=m.x183**2 + m.x184**2 + m.x185**2 + m.x186**2 - 2*m.x183*m.x185 - 2*m.x184*m.x186 - 1.436939228176*m.b50 - 1.436939228176*m.b59 >= -1.436939228176) m.c656 = Constraint(expr=m.x185**2 + m.x186**2 + m.x187**2 + m.x188**2 - 2*m.x185*m.x187 - 2*m.x186*m.x188 - 1.436939228176*m.b59 - 1.436939228176*m.b68 >= -1.436939228176) m.c657 = Constraint(expr=m.x185**2 + m.x186**2 + m.x189**2 + m.x190**2 - 2*m.x186*m.x190 - 2*m.x185*m.x189 - 0.887203867225*m.b59 - 0.887203867225*m.b83 >= -0.887203867225) m.c658 = Constraint(expr=m.x185**2 + m.x186**2 + m.x191**2 + m.x192**2 - 2*m.x186*m.x192 - 2*m.x185*m.x191 - 0.887203867225*m.b59 - 0.887203867225*m.b98 >= -0.887203867225) m.c659 = Constraint(expr=m.x185**2 + m.x186**2 + m.x193**2 + m.x194**2 - 2*m.x186*m.x194 - 2*m.x185*m.x193 - 0.887203867225*m.b59 - 0.887203867225*m.b113 >= -0.887203867225) m.c660 = Constraint(expr=m.x185**2 + m.x186**2 + m.x195**2 + m.x196**2 - 2*m.x186*m.x196 - 2*m.x185*m.x195 - 0.887203867225*m.b59 - 0.887203867225*m.b128 >= -0.887203867225) m.c661 = Constraint(expr=m.x185**2 + m.x186**2 + m.x197**2 + m.x198**2 - 2*m.x186*m.x198 - 2*m.x185*m.x197 - 0.887203867225*m.b59 - 0.887203867225*m.b143 >= -0.887203867225) m.c662 = Constraint(expr=m.x177**2 + m.x178**2 + m.x187**2 + m.x188**2 - 2*m.x178*m.x188 - 2*m.x177*m.x187 - 1.436939228176*m.b23 - 1.436939228176*m.b68 >= -1.436939228176) m.c663 = Constraint(expr=m.x179**2 + m.x180**2 + m.x187**2 + m.x188**2 - 2*m.x179*m.x187 - 2*m.x180*m.x188 - 1.436939228176*m.b32 - 1.436939228176*m.b68 >= -1.436939228176) m.c664 = Constraint(expr=m.x181**2 + m.x182**2 + m.x187**2 + m.x188**2 - 2*m.x182*m.x188 - 2*m.x181*m.x187 - 1.436939228176*m.b41 - 1.436939228176*m.b68 >= -1.436939228176) m.c665 = Constraint(expr=m.x183**2 + m.x184**2 + m.x187**2 + m.x188**2 - 2*m.x184*m.x188 - 2*m.x183*m.x187 - 1.436939228176*m.b50 - 1.436939228176*m.b68 >= -1.436939228176) m.c666 = Constraint(expr=m.x185**2 + m.x186**2 + m.x187**2 + m.x188**2 - 2*m.x185*m.x187 - 2*m.x186*m.x188 - 1.436939228176*m.b59 - 1.436939228176*m.b68 >= -1.436939228176) m.c667 = Constraint(expr=m.x187**2 + m.x188**2 + m.x189**2 + m.x190**2 - 2*m.x187*m.x189 - 2*m.x188*m.x190 - 0.887203867225*m.b68 - 0.887203867225*m.b83 >= -0.887203867225) m.c668 = Constraint(expr=m.x187**2 + m.x188**2 + m.x191**2 + m.x192**2 - 2*m.x187*m.x191 - 2*m.x188*m.x192 - 0.887203867225*m.b68 - 0.887203867225*m.b98 >= -0.887203867225) m.c669 = Constraint(expr=m.x187**2 + m.x188**2 + m.x193**2 + m.x194**2 - 2*m.x187*m.x193 - 2*m.x188*m.x194 - 0.887203867225*m.b68 - 0.887203867225*m.b113 >= -0.887203867225) m.c670 = Constraint(expr=m.x187**2 + m.x188**2 + m.x195**2 + m.x196**2 - 2*m.x187*m.x195 - 2*m.x188*m.x196 - 0.887203867225*m.b68 - 0.887203867225*m.b128 >= -0.887203867225) m.c671 = Constraint(expr=m.x187**2 + m.x188**2 + m.x197**2 + m.x198**2 - 2*m.x187*m.x197 - 2*m.x188*m.x198 - 0.887203867225*m.b68 - 0.887203867225*m.b143 >= -0.887203867225) m.c672 = Constraint(expr=m.x177**2 + m.x178**2 + m.x189**2 + m.x190**2 - 2*m.x177*m.x189 - 2*m.x178*m.x190 - 0.887203867225*m.b23 - 0.887203867225*m.b83 >= -0.887203867225) m.c673 = Constraint(expr=m.x179**2 + m.x180**2 + m.x189**2 + m.x190**2 - 2*m.x180*m.x190 - 2*m.x179*m.x189 - 0.887203867225*m.b32 - 0.887203867225*m.b83 >= -0.887203867225) m.c674 = Constraint(expr=m.x181**2 + m.x182**2 + m.x189**2 + m.x190**2 - 2*m.x182*m.x190 - 2*m.x181*m.x189 - 0.887203867225*m.b41 - 0.887203867225*m.b83 >= -0.887203867225) m.c675 = Constraint(expr=m.x183**2 + m.x184**2 + m.x189**2 + m.x190**2 - 2*m.x183*m.x189 - 2*m.x184*m.x190 - 0.887203867225*m.b50 - 0.887203867225*m.b83 >= -0.887203867225) m.c676 = Constraint(expr=m.x185**2 + m.x186**2 + m.x189**2 + m.x190**2 - 2*m.x186*m.x190 - 2*m.x185*m.x189 - 0.887203867225*m.b59 - 0.887203867225*m.b83 >= -0.887203867225) m.c677 = Constraint(expr=m.x187**2 + m.x188**2 + m.x189**2 + m.x190**2 - 2*m.x187*m.x189 - 2*m.x188*m.x190 - 0.887203867225*m.b68 - 0.887203867225*m.b83 >= -0.887203867225) m.c678 = Constraint(expr=m.x189**2 + m.x190**2 + m.x191**2 + m.x192**2 - 2*m.x189*m.x191 - 2*m.x190*m.x192 - 0.469370231236*m.b83 - 0.469370231236*m.b98 >= -0.469370231236) m.c679 = Constraint(expr=m.x189**2 + m.x190**2 + m.x193**2 + m.x194**2 - 2*m.x189*m.x193 - 2*m.x190*m.x194 - 0.469370231236*m.b83 - 0.469370231236*m.b113 >= -0.469370231236) m.c680 = Constraint(expr=m.x189**2 + m.x190**2 + m.x195**2 + m.x196**2 - 2*m.x189*m.x195 - 2*m.x190*m.x196 - 0.469370231236*m.b83 - 0.469370231236*m.b128 >= -0.469370231236) m.c681 = Constraint(expr=m.x189**2 + m.x190**2 + m.x197**2 + m.x198**2 - 2*m.x189*m.x197 - 2*m.x190*m.x198 - 0.469370231236*m.b83 - 0.469370231236*m.b143 >= -0.469370231236) m.c682 = Constraint(expr=m.x177**2 + m.x178**2 + m.x191**2 + m.x192**2 - 2*m.x178*m.x192 - 2*m.x177*m.x191 - 0.887203867225*m.b23 - 0.887203867225*m.b98 >= -0.887203867225) m.c683 = Constraint(expr=m.x179**2 + m.x180**2 + m.x191**2 + m.x192**2 - 2*m.x180*m.x192 - 2*m.x179*m.x191 - 0.887203867225*m.b32 - 0.887203867225*m.b98 >= -0.887203867225) m.c684 = Constraint(expr=m.x181**2 + m.x182**2 + m.x191**2 + m.x192**2 - 2*m.x181*m.x191 - 2*m.x182*m.x192 - 0.887203867225*m.b41 - 0.887203867225*m.b98 >= -0.887203867225) m.c685 = Constraint(expr=m.x183**2 + m.x184**2 + m.x191**2 + m.x192**2 - 2*m.x184*m.x192 - 2*m.x183*m.x191 - 0.887203867225*m.b50 - 0.887203867225*m.b98 >= -0.887203867225) m.c686 = Constraint(expr=m.x185**2 + m.x186**2 + m.x191**2 + m.x192**2 - 2*m.x186*m.x192 - 2*m.x185*m.x191 - 0.887203867225*m.b59 - 0.887203867225*m.b98 >= -0.887203867225) m.c687 = Constraint(expr=m.x187**2 + m.x188**2 + m.x191**2 + m.x192**2 - 2*m.x187*m.x191 - 2*m.x188*m.x192 - 0.887203867225*m.b68 - 0.887203867225*m.b98 >= -0.887203867225) m.c688 = Constraint(expr=m.x189**2 + m.x190**2 + m.x191**2 + m.x192**2 - 2*m.x189*m.x191 - 2*m.x190*m.x192 - 0.469370231236*m.b83 - 0.469370231236*m.b98 >= -0.469370231236) m.c689 = Constraint(expr=m.x191**2 + m.x192**2 + m.x193**2 + m.x194**2 - 2*m.x191*m.x193 - 2*m.x192*m.x194 - 0.469370231236*m.b98 - 0.469370231236*m.b113 >= -0.469370231236) m.c690 = Constraint(expr=m.x191**2 + m.x192**2 + m.x195**2 + m.x196**2 - 2*m.x191*m.x195 - 2*m.x192*m.x196 - 0.469370231236*m.b98 - 0.469370231236*m.b128 >= -0.469370231236) m.c691 = Constraint(expr=m.x191**2 + m.x192**2 + m.x197**2 + m.x198**2 - 2*m.x191*m.x197 - 2*m.x192*m.x198 - 0.469370231236*m.b98 - 0.469370231236*m.b143 >= -0.469370231236) m.c692 = Constraint(expr=m.x177**2 + m.x178**2 + m.x193**2 + m.x194**2 - 2*m.x178*m.x194 - 2*m.x177*m.x193 - 0.887203867225*m.b23 - 0.887203867225*m.b113 >= -0.887203867225) m.c693 = Constraint(expr=m.x179**2 + m.x180**2 + m.x193**2 + m.x194**2 - 2*m.x179*m.x193 - 2*m.x180*m.x194 - 0.887203867225*m.b32 - 0.887203867225*m.b113 >= -0.887203867225) m.c694 = Constraint(expr=m.x181**2 + m.x182**2 + m.x193**2 + m.x194**2 - 2*m.x182*m.x194 - 2*m.x181*m.x193 - 0.887203867225*m.b41 - 0.887203867225*m.b113 >= -0.887203867225) m.c695 = Constraint(expr=m.x183**2 + m.x184**2 + m.x193**2 + m.x194**2 - 2*m.x184*m.x194 - 2*m.x183*m.x193 - 0.887203867225*m.b50 - 0.887203867225*m.b113 >= -0.887203867225) m.c696 = Constraint(expr=m.x185**2 + m.x186**2 + m.x193**2 + m.x194**2 - 2*m.x186*m.x194 - 2*m.x185*m.x193 - 0.887203867225*m.b59 - 0.887203867225*m.b113 >= -0.887203867225) m.c697 = Constraint(expr=m.x187**2 + m.x188**2 + m.x193**2 + m.x194**2 - 2*m.x187*m.x193 - 2*m.x188*m.x194 - 0.887203867225*m.b68 - 0.887203867225*m.b113 >= -0.887203867225) m.c698 = Constraint(expr=m.x189**2 + m.x190**2 + m.x193**2 + m.x194**2 - 2*m.x189*m.x193 - 2*m.x190*m.x194 - 0.469370231236*m.b83 - 0.469370231236*m.b113 >= -0.469370231236) m.c699 = Constraint(expr=m.x191**2 + m.x192**2 + m.x193**2 + m.x194**2 - 2*m.x191*m.x193 - 2*m.x192*m.x194 - 0.469370231236*m.b98 - 0.469370231236*m.b113 >= -0.469370231236) m.c700 = Constraint(expr=m.x193**2 + m.x194**2 + m.x195**2 + m.x196**2 - 2*m.x193*m.x195 - 2*m.x194*m.x196 - 0.469370231236*m.b113 - 0.469370231236*m.b128 >= -0.469370231236) m.c701 = Constraint(expr=m.x193**2 + m.x194**2 + m.x197**2 + m.x198**2 - 2*m.x193*m.x197 - 2*m.x194*m.x198 - 0.469370231236*m.b113 - 0.469370231236*m.b143 >= -0.469370231236) m.c702 = Constraint(expr=m.x177**2 + m.x178**2 + m.x195**2 + m.x196**2 - 2*m.x177*m.x195 - 2*m.x178*m.x196 - 0.887203867225*m.b23 - 0.887203867225*m.b128 >= -0.887203867225) m.c703 = Constraint(expr=m.x179**2 + m.x180**2 + m.x195**2 + m.x196**2 - 2*m.x180*m.x196 - 2*m.x179*m.x195 - 0.887203867225*m.b32 - 0.887203867225*m.b128 >= -0.887203867225) m.c704 = Constraint(expr=m.x181**2 + m.x182**2 + m.x195**2 + m.x196**2 - 2*m.x182*m.x196 - 2*m.x181*m.x195 - 0.887203867225*m.b41 - 0.887203867225*m.b128 >= -0.887203867225) m.c705 = Constraint(expr=m.x183**2 + m.x184**2 + m.x195**2 + m.x196**2 - 2*m.x183*m.x195 - 2*m.x184*m.x196 - 0.887203867225*m.b50 - 0.887203867225*m.b128 >= -0.887203867225) m.c706 = Constraint(expr=m.x185**2 + m.x186**2 + m.x195**2 + m.x196**2 - 2*m.x186*m.x196 - 2*m.x185*m.x195 - 0.887203867225*m.b59 - 0.887203867225*m.b128 >= -0.887203867225) m.c707 = Constraint(expr=m.x187**2 + m.x188**2 + m.x195**2 + m.x196**2 - 2*m.x187*m.x195 - 2*m.x188*m.x196 - 0.887203867225*m.b68 - 0.887203867225*m.b128 >= -0.887203867225) m.c708 = Constraint(expr=m.x189**2 + m.x190**2 + m.x195**2 + m.x196**2 - 2*m.x189*m.x195 - 2*m.x190*m.x196 - 0.469370231236*m.b83 - 0.469370231236*m.b128 >= -0.469370231236) m.c709 = Constraint(expr=m.x191**2 + m.x192**2 + m.x195**2 + m.x196**2 - 2*m.x191*m.x195 - 2*m.x192*m.x196 - 0.469370231236*m.b98 - 0.469370231236*m.b128 >= -0.469370231236) m.c710 = Constraint(expr=m.x193**2 + m.x194**2 + m.x195**2 + m.x196**2 - 2*m.x193*m.x195 - 2*m.x194*m.x196 - 0.469370231236*m.b113 - 0.469370231236*m.b128 >= -0.469370231236) m.c711 = Constraint(expr=m.x195**2 + m.x196**2 + m.x197**2 + m.x198**2 - 2*m.x195*m.x197 - 2*m.x196*m.x198 - 0.469370231236*m.b128 - 0.469370231236*m.b143 >= -0.469370231236) m.c712 = Constraint(expr=m.x177**2 + m.x178**2 + m.x197**2 + m.x198**2 - 2*m.x177*m.x197 - 2*m.x178*m.x198 - 0.887203867225*m.b23 - 0.887203867225*m.b143 >= -0.887203867225) m.c713 = Constraint(expr=m.x179**2 + m.x180**2 + m.x197**2 + m.x198**2 - 2*m.x180*m.x198 - 2*m.x179*m.x197 - 0.887203867225*m.b32 - 0.887203867225*m.b143 >= -0.887203867225) m.c714 = Constraint(expr=m.x181**2 + m.x182**2 + m.x197**2 + m.x198**2 - 2*m.x182*m.x198 - 2*m.x181*m.x197 - 0.887203867225*m.b41 - 0.887203867225*m.b143 >= -0.887203867225) m.c715 = Constraint(expr=m.x183**2 + m.x184**2 + m.x197**2 + m.x198**2 - 2*m.x183*m.x197 - 2*m.x184*m.x198 - 0.887203867225*m.b50 - 0.887203867225*m.b143 >= -0.887203867225) m.c716 = Constraint(expr=m.x185**2 + m.x186**2 + m.x197**2 + m.x198**2 - 2*m.x186*m.x198 - 2*m.x185*m.x197 - 0.887203867225*m.b59 - 0.887203867225*m.b143 >= -0.887203867225) m.c717 = Constraint(expr=m.x187**2 + m.x188**2 + m.x197**2 + m.x198**2 - 2*m.x187*m.x197 - 2*m.x188*m.x198 - 0.887203867225*m.b68 - 0.887203867225*m.b143 >= -0.887203867225) m.c718 = Constraint(expr=m.x189**2 + m.x190**2 + m.x197**2 + m.x198**2 - 2*m.x189*m.x197 - 2*m.x190*m.x198 - 0.469370231236*m.b83 - 0.469370231236*m.b143 >= -0.469370231236) m.c719 = Constraint(expr=m.x191**2 + m.x192**2 + m.x197**2 + m.x198**2 - 2*m.x191*m.x197 - 2*m.x192*m.x198 - 0.469370231236*m.b98 - 0.469370231236*m.b143 >= -0.469370231236) m.c720 = Constraint(expr=m.x193**2 + m.x194**2 + m.x197**2 + m.x198**2 - 2*m.x193*m.x197 - 2*m.x194*m.x198 - 0.469370231236*m.b113 - 0.469370231236*m.b143 >= -0.469370231236) m.c721 = Constraint(expr=m.x195**2 + m.x196**2 + m.x197**2 + m.x198**2 - 2*m.x195*m.x197 - 2*m.x196*m.x198 - 0.469370231236*m.b128 - 0.469370231236*m.b143 >= -0.469370231236) m.c722 = Constraint(expr=m.x177**2 + m.x178**2 + m.x179**2 + m.x180**2 - 2*m.x177*m.x179 - 2*m.x178*m.x180 - 1.436939228176*m.b24 - 1.436939228176*m.b33 >= -1.436939228176) m.c723 = Constraint(expr=m.x177**2 + m.x178**2 + m.x181**2 + m.x182**2 - 2*m.x177*m.x181 - 2*m.x178*m.x182 - 1.436939228176*m.b24 - 1.436939228176*m.b42 >= -1.436939228176) m.c724 = Constraint(expr=m.x177**2 + m.x178**2 + m.x183**2 + m.x184**2 - 2*m.x177*m.x183 - 2*m.x178*m.x184 - 1.436939228176*m.b24 - 1.436939228176*m.b51 >= -1.436939228176) m.c725 = Constraint(expr=m.x177**2 + m.x178**2 + m.x185**2 + m.x186**2 - 2*m.x177*m.x185 - 2*m.x178*m.x186 - 1.436939228176*m.b24 - 1.436939228176*m.b60 >= -1.436939228176) m.c726 = Constraint(expr=m.x177**2 + m.x178**2 + m.x187**2 + m.x188**2 - 2*m.x178*m.x188 - 2*m.x177*m.x187 - 1.436939228176*m.b24 - 1.436939228176*m.b69 >= -1.436939228176) m.c727 = Constraint(expr=m.x177**2 + m.x178**2 + m.x189**2 + m.x190**2 - 2*m.x177*m.x189 - 2*m.x178*m.x190 - 0.887203867225*m.b24 - 0.887203867225*m.b84 >= -0.887203867225) m.c728 = Constraint(expr=m.x177**2 + m.x178**2 + m.x191**2 + m.x192**2 - 2*m.x178*m.x192 - 2*m.x177*m.x191 - 0.887203867225*m.b24 - 0.887203867225*m.b99 >= -0.887203867225) m.c729 = Constraint(expr=m.x177**2 + m.x178**2 + m.x193**2 + m.x194**2 - 2*m.x178*m.x194 - 2*m.x177*m.x193 - 0.887203867225*m.b24 - 0.887203867225*m.b114 >= -0.887203867225) m.c730 = Constraint(expr=m.x177**2 + m.x178**2 + m.x195**2 + m.x196**2 - 2*m.x177*m.x195 - 2*m.x178*m.x196 - 0.887203867225*m.b24 - 0.887203867225*m.b129 >= -0.887203867225) m.c731 = Constraint(expr=m.x177**2 + m.x178**2 + m.x197**2 + m.x198**2 - 2*m.x177*m.x197 - 2*m.x178*m.x198 - 0.887203867225*m.b24 - 0.887203867225*m.b144 >= -0.887203867225) m.c732 = Constraint(expr=m.x177**2 + m.x178**2 + m.x179**2 + m.x180**2 - 2*m.x177*m.x179 - 2*m.x178*m.x180 - 1.436939228176*m.b24 - 1.436939228176*m.b33 >= -1.436939228176) m.c733 = Constraint(expr=m.x179**2 + m.x180**2 + m.x181**2 + m.x182**2 - 2*m.x179*m.x181 - 2*m.x180*m.x182 - 1.436939228176*m.b33 - 1.436939228176*m.b42 >= -1.436939228176) m.c734 = Constraint(expr=m.x179**2 + m.x180**2 + m.x183**2 + m.x184**2 - 2*m.x179*m.x183 - 2*m.x180*m.x184 - 1.436939228176*m.b33 - 1.436939228176*m.b51 >= -1.436939228176) m.c735 = Constraint(expr=m.x179**2 + m.x180**2 + m.x185**2 + m.x186**2 - 2*m.x179*m.x185 - 2*m.x180*m.x186 - 1.436939228176*m.b33 - 1.436939228176*m.b60 >= -1.436939228176) m.c736 = Constraint(expr=m.x179**2 + m.x180**2 + m.x187**2 + m.x188**2 - 2*m.x180*m.x188 - 2*m.x179*m.x187 - 1.436939228176*m.b33 - 1.436939228176*m.b69 >= -1.436939228176) m.c737 = Constraint(expr=m.x179**2 + m.x180**2 + m.x189**2 + m.x190**2 - 2*m.x180*m.x190 - 2*m.x179*m.x189 - 0.887203867225*m.b33 - 0.887203867225*m.b84 >= -0.887203867225) m.c738 = Constraint(expr=m.x179**2 + m.x180**2 + m.x191**2 + m.x192**2 - 2*m.x180*m.x192 - 2*m.x179*m.x191 - 0.887203867225*m.b33 - 0.887203867225*m.b99 >= -0.887203867225) m.c739 = Constraint(expr=m.x179**2 + m.x180**2 + m.x193**2 + m.x194**2 - 2*m.x179*m.x193 - 2*m.x180*m.x194 - 0.887203867225*m.b33 - 0.887203867225*m.b114 >= -0.887203867225) m.c740 = Constraint(expr=m.x179**2 + m.x180**2 + m.x195**2 + m.x196**2 - 2*m.x180*m.x196 - 2*m.x179*m.x195 - 0.887203867225*m.b33 - 0.887203867225*m.b129 >= -0.887203867225) m.c741 = Constraint(expr=m.x179**2 + m.x180**2 + m.x197**2 + m.x198**2 - 2*m.x180*m.x198 - 2*m.x179*m.x197 - 0.887203867225*m.b33 - 0.887203867225*m.b144 >= -0.887203867225) m.c742 = Constraint(expr=m.x177**2 + m.x178**2 + m.x181**2 + m.x182**2 - 2*m.x177*m.x181 - 2*m.x178*m.x182 - 1.436939228176*m.b24 - 1.436939228176*m.b42 >= -1.436939228176) m.c743 = Constraint(expr=m.x179**2 + m.x180**2 + m.x181**2 + m.x182**2 - 2*m.x179*m.x181 - 2*m.x180*m.x182 - 1.436939228176*m.b33 - 1.436939228176*m.b42 >= -1.436939228176) m.c744 = Constraint(expr=m.x181**2 + m.x182**2 + m.x183**2 + m.x184**2 - 2*m.x181*m.x183 - 2*m.x182*m.x184 - 1.436939228176*m.b42 - 1.436939228176*m.b51 >= -1.436939228176) m.c745 = Constraint(expr=m.x181**2 + m.x182**2 + m.x185**2 + m.x186**2 - 2*m.x181*m.x185 - 2*m.x182*m.x186 - 1.436939228176*m.b42 - 1.436939228176*m.b60 >= -1.436939228176) m.c746 = Constraint(expr=m.x181**2 + m.x182**2 + m.x187**2 + m.x188**2 - 2*m.x182*m.x188 - 2*m.x181*m.x187 - 1.436939228176*m.b42 - 1.436939228176*m.b69 >= -1.436939228176) m.c747 = Constraint(expr=m.x181**2 + m.x182**2 + m.x189**2 + m.x190**2 - 2*m.x182*m.x190 - 2*m.x181*m.x189 - 0.887203867225*m.b42 - 0.887203867225*m.b84 >= -0.887203867225) m.c748 = Constraint(expr=m.x181**2 + m.x182**2 + m.x191**2 + m.x192**2 - 2*m.x181*m.x191 - 2*m.x182*m.x192 - 0.887203867225*m.b42 - 0.887203867225*m.b99 >= -0.887203867225) m.c749 = Constraint(expr=m.x181**2 + m.x182**2 + m.x193**2 + m.x194**2 - 2*m.x182*m.x194 - 2*m.x181*m.x193 - 0.887203867225*m.b42 - 0.887203867225*m.b114 >= -0.887203867225) m.c750 = Constraint(expr=m.x181**2 + m.x182**2 + m.x195**2 + m.x196**2 - 2*m.x182*m.x196 - 2*m.x181*m.x195 - 0.887203867225*m.b42 - 0.887203867225*m.b129 >= -0.887203867225) m.c751 = Constraint(expr=m.x181**2 + m.x182**2 + m.x197**2 + m.x198**2 - 2*m.x182*m.x198 - 2*m.x181*m.x197 - 0.887203867225*m.b42 - 0.887203867225*m.b144 >= -0.887203867225) m.c752 = Constraint(expr=m.x177**2 + m.x178**2 + m.x183**2 + m.x184**2 - 2*m.x177*m.x183 - 2*m.x178*m.x184 - 1.436939228176*m.b24 - 1.436939228176*m.b51 >= -1.436939228176) m.c753 = Constraint(expr=m.x179**2 + m.x180**2 + m.x183**2 + m.x184**2 - 2*m.x179*m.x183 - 2*m.x180*m.x184 - 1.436939228176*m.b33 - 1.436939228176*m.b51 >= -1.436939228176) m.c754 = Constraint(expr=m.x181**2 + m.x182**2 + m.x183**2 + m.x184**2 - 2*m.x181*m.x183 - 2*m.x182*m.x184 - 1.436939228176*m.b42 - 1.436939228176*m.b51 >= -1.436939228176) m.c755 = Constraint(expr=m.x183**2 + m.x184**2 + m.x185**2 + m.x186**2 - 2*m.x183*m.x185 - 2*m.x184*m.x186 - 1.436939228176*m.b51 - 1.436939228176*m.b60 >= -1.436939228176) m.c756 = Constraint(expr=m.x183**2 + m.x184**2 + m.x187**2 + m.x188**2 - 2*m.x184*m.x188 - 2*m.x183*m.x187 - 1.436939228176*m.b51 - 1.436939228176*m.b69 >= -1.436939228176) m.c757 = Constraint(expr=m.x183**2 + m.x184**2 + m.x189**2 + m.x190**2 - 2*m.x183*m.x189 - 2*m.x184*m.x190 - 0.887203867225*m.b51 - 0.887203867225*m.b84 >= -0.887203867225) m.c758 = Constraint(expr=m.x183**2 + m.x184**2 + m.x191**2 + m.x192**2 - 2*m.x184*m.x192 - 2*m.x183*m.x191 - 0.887203867225*m.b51 - 0.887203867225*m.b99 >= -0.887203867225) m.c759 = Constraint(expr=m.x183**2 + m.x184**2 + m.x193**2 + m.x194**2 - 2*m.x184*m.x194 - 2*m.x183*m.x193 - 0.887203867225*m.b51 - 0.887203867225*m.b114 >= -0.887203867225) m.c760 = Constraint(expr=m.x183**2 + m.x184**2 + m.x195**2 + m.x196**2 - 2*m.x183*m.x195 - 2*m.x184*m.x196 - 0.887203867225*m.b51 - 0.887203867225*m.b129 >= -0.887203867225) m.c761 = Constraint(expr=m.x183**2 + m.x184**2 + m.x197**2 + m.x198**2 - 2*m.x183*m.x197 - 2*m.x184*m.x198 - 0.887203867225*m.b51 - 0.887203867225*m.b144 >= -0.887203867225) m.c762 = Constraint(expr=m.x177**2 + m.x178**2 + m.x185**2 + m.x186**2 - 2*m.x177*m.x185 - 2*m.x178*m.x186 - 1.436939228176*m.b24 - 1.436939228176*m.b60 >= -1.436939228176) m.c763 = Constraint(expr=m.x179**2 + m.x180**2 + m.x185**2 + m.x186**2 - 2*m.x179*m.x185 - 2*m.x180*m.x186 - 1.436939228176*m.b33 - 1.436939228176*m.b60 >= -1.436939228176) m.c764 = Constraint(expr=m.x181**2 + m.x182**2 + m.x185**2 + m.x186**2 - 2*m.x181*m.x185 - 2*m.x182*m.x186 - 1.436939228176*m.b42 - 1.436939228176*m.b60 >= -1.436939228176) m.c765 = Constraint(expr=m.x183**2 + m.x184**2 + m.x185**2 + m.x186**2 - 2*m.x183*m.x185 - 2*m.x184*m.x186 - 1.436939228176*m.b51 - 1.436939228176*m.b60 >= -1.436939228176) m.c766 = Constraint(expr=m.x185**2 + m.x186**2 + m.x187**2 + m.x188**2 - 2*m.x185*m.x187 - 2*m.x186*m.x188 - 1.436939228176*m.b60 - 1.436939228176*m.b69 >= -1.436939228176) m.c767 = Constraint(expr=m.x185**2 + m.x186**2 + m.x189**2 + m.x190**2 - 2*m.x186*m.x190 - 2*m.x185*m.x189 - 0.887203867225*m.b60 - 0.887203867225*m.b84 >= -0.887203867225) m.c768 = Constraint(expr=m.x185**2 + m.x186**2 + m.x191**2 + m.x192**2 - 2*m.x186*m.x192 - 2*m.x185*m.x191 - 0.887203867225*m.b60 - 0.887203867225*m.b99 >= -0.887203867225) m.c769 = Constraint(expr=m.x185**2 + m.x186**2 + m.x193**2 + m.x194**2 - 2*m.x185*m.x193 - 2*m.x186*m.x194 - 0.887203867225*m.b60 - 0.887203867225*m.b114 >= -0.887203867225) m.c770 = Constraint(expr=m.x185**2 + m.x186**2 + m.x195**2 + m.x196**2 - 2*m.x186*m.x196 - 2*m.x185*m.x195 - 0.887203867225*m.b60 - 0.887203867225*m.b129 >= -0.887203867225) m.c771 = Constraint(expr=m.x185**2 + m.x186**2 + m.x197**2 + m.x198**2 - 2*m.x186*m.x198 - 2*m.x185*m.x197 - 0.887203867225*m.b60 - 0.887203867225*m.b144 >= -0.887203867225) m.c772 = Constraint(expr=m.x177**2 + m.x178**2 + m.x187**2 + m.x188**2 - 2*m.x178*m.x188 - 2*m.x177*m.x187 - 1.436939228176*m.b24 - 1.436939228176*m.b69 >= -1.436939228176) m.c773 = Constraint(expr=m.x179**2 + m.x180**2 + m.x187**2 + m.x188**2 - 2*m.x179*m.x187 - 2*m.x180*m.x188 - 1.436939228176*m.b33 - 1.436939228176*m.b69 >= -1.436939228176) m.c774 = Constraint(expr=m.x181**2 + m.x182**2 + m.x187**2 + m.x188**2 - 2*m.x182*m.x188 - 2*m.x181*m.x187 - 1.436939228176*m.b42 - 1.436939228176*m.b69 >= -1.436939228176) m.c775 = Constraint(expr=m.x183**2 + m.x184**2 + m.x187**2 + m.x188**2 - 2*m.x184*m.x188 - 2*m.x183*m.x187 - 1.436939228176*m.b51 - 1.436939228176*m.b69 >= -1.436939228176) m.c776 = Constraint(expr=m.x185**2 + m.x186**2 + m.x187**2 + m.x188**2 - 2*m.x185*m.x187 - 2*m.x186*m.x188 - 1.436939228176*m.b60 - 1.436939228176*m.b69 >= -1.436939228176) m.c777 = Constraint(expr=m.x187**2 + m.x188**2 + m.x189**2 + m.x190**2 - 2*m.x187*m.x189 - 2*m.x188*m.x190 - 0.887203867225*m.b69 - 0.887203867225*m.b84 >= -0.887203867225) m.c778 = Constraint(expr=m.x187**2 + m.x188**2 + m.x191**2 + m.x192**2 - 2*m.x187*m.x191 - 2*m.x188*m.x192 - 0.887203867225*m.b69 - 0.887203867225*m.b99 >= -0.887203867225) m.c779 = Constraint(expr=m.x187**2 + m.x188**2 + m.x193**2 + m.x194**2 - 2*m.x187*m.x193 - 2*m.x188*m.x194 - 0.887203867225*m.b69 - 0.887203867225*m.b114 >= -0.887203867225) m.c780 = Constraint(expr=m.x187**2 + m.x188**2 + m.x195**2 + m.x196**2 - 2*m.x187*m.x195 - 2*m.x188*m.x196 - 0.887203867225*m.b69 - 0.887203867225*m.b129 >= -0.887203867225) m.c781 = Constraint(expr=m.x187**2 + m.x188**2 + m.x197**2 + m.x198**2 - 2*m.x187*m.x197 - 2*m.x188*m.x198 - 0.887203867225*m.b69 - 0.887203867225*m.b144 >= -0.887203867225) m.c782 = Constraint(expr=m.x177**2 + m.x178**2 + m.x189**2 + m.x190**2 - 2*m.x177*m.x189 - 2*m.x178*m.x190 - 0.887203867225*m.b24 - 0.887203867225*m.b84 >= -0.887203867225) m.c783 = Constraint(expr=m.x179**2 + m.x180**2 + m.x189**2 + m.x190**2 - 2*m.x180*m.x190 - 2*m.x179*m.x189 - 0.887203867225*m.b33 - 0.887203867225*m.b84 >= -0.887203867225) m.c784 = Constraint(expr=m.x181**2 + m.x182**2 + m.x189**2 + m.x190**2 - 2*m.x182*m.x190 - 2*m.x181*m.x189 - 0.887203867225*m.b42 - 0.887203867225*m.b84 >= -0.887203867225) m.c785 = Constraint(expr=m.x183**2 + m.x184**2 + m.x189**2 + m.x190**2 - 2*m.x183*m.x189 - 2*m.x184*m.x190 - 0.887203867225*m.b51 - 0.887203867225*m.b84 >= -0.887203867225) m.c786 = Constraint(expr=m.x185**2 + m.x186**2 + m.x189**2 + m.x190**2 - 2*m.x186*m.x190 - 2*m.x185*m.x189 - 0.887203867225*m.b60 - 0.887203867225*m.b84 >= -0.887203867225) m.c787 = Constraint(expr=m.x187**2 + m.x188**2 + m.x189**2 + m.x190**2 - 2*m.x187*m.x189 - 2*m.x188*m.x190 - 0.887203867225*m.b69 - 0.887203867225*m.b84 >= -0.887203867225) m.c788 = Constraint(expr=m.x189**2 + m.x190**2 + m.x191**2 + m.x192**2 - 2*m.x189*m.x191 - 2*m.x190*m.x192 - 0.469370231236*m.b84 - 0.469370231236*m.b99 >= -0.469370231236) m.c789 = Constraint(expr=m.x189**2 + m.x190**2 + m.x193**2 + m.x194**2 - 2*m.x189*m.x193 - 2*m.x190*m.x194 - 0.469370231236*m.b84 - 0.469370231236*m.b114 >= -0.469370231236) m.c790 = Constraint(expr=m.x189**2 + m.x190**2 + m.x195**2 + m.x196**2 - 2*m.x189*m.x195 - 2*m.x190*m.x196 - 0.469370231236*m.b84 - 0.469370231236*m.b129 >= -0.469370231236) m.c791 = Constraint(expr=m.x189**2 + m.x190**2 + m.x197**2 + m.x198**2 - 2*m.x189*m.x197 - 2*m.x190*m.x198 - 0.469370231236*m.b84 - 0.469370231236*m.b144 >= -0.469370231236) m.c792 = Constraint(expr=m.x177**2 + m.x178**2 + m.x191**2 + m.x192**2 - 2*m.x178*m.x192 - 2*m.x177*m.x191 - 0.887203867225*m.b24 - 0.887203867225*m.b99 >= -0.887203867225) m.c793 = Constraint(expr=m.x179**2 + m.x180**2 + m.x191**2 + m.x192**2 - 2*m.x180*m.x192 - 2*m.x179*m.x191 - 0.887203867225*m.b33 - 0.887203867225*m.b99 >= -0.887203867225) m.c794 = Constraint(expr=m.x181**2 + m.x182**2 + m.x191**2 + m.x192**2 - 2*m.x181*m.x191 - 2*m.x182*m.x192 - 0.887203867225*m.b42 - 0.887203867225*m.b99 >= -0.887203867225) m.c795 = Constraint(expr=m.x183**2 + m.x184**2 + m.x191**2 + m.x192**2 - 2*m.x184*m.x192 - 2*m.x183*m.x191 - 0.887203867225*m.b51 - 0.887203867225*m.b99 >= -0.887203867225) m.c796 = Constraint(expr=m.x185**2 + m.x186**2 + m.x191**2 + m.x192**2 - 2*m.x186*m.x192 - 2*m.x185*m.x191 - 0.887203867225*m.b60 - 0.887203867225*m.b99 >= -0.887203867225) m.c797 = Constraint(expr=m.x187**2 + m.x188**2 + m.x191**2 + m.x192**2 - 2*m.x187*m.x191 - 2*m.x188*m.x192 - 0.887203867225*m.b69 - 0.887203867225*m.b99 >= -0.887203867225) m.c798 = Constraint(expr=m.x189**2 + m.x190**2 + m.x191**2 + m.x192**2 - 2*m.x189*m.x191 - 2*m.x190*m.x192 - 0.469370231236*m.b84 - 0.469370231236*m.b99 >= -0.469370231236) m.c799 = Constraint(expr=m.x191**2 + m.x192**2 + m.x193**2 + m.x194**2 - 2*m.x191*m.x193 - 2*m.x192*m.x194 - 0.469370231236*m.b99 - 0.469370231236*m.b114 >= -0.469370231236) m.c800 = Constraint(expr=m.x191**2 + m.x192**2 + m.x195**2 + m.x196**2 - 2*m.x191*m.x195 - 2*m.x192*m.x196 - 0.469370231236*m.b99 - 0.469370231236*m.b129 >= -0.469370231236) m.c801 = Constraint(expr=m.x191**2 + m.x192**2 + m.x197**2 + m.x198**2 - 2*m.x191*m.x197 - 2*m.x192*m.x198 - 0.469370231236*m.b99 - 0.469370231236*m.b144 >= -0.469370231236) m.c802 = Constraint(expr=m.x177**2 + m.x178**2 + m.x193**2 + m.x194**2 - 2*m.x178*m.x194 - 2*m.x177*m.x193 - 0.887203867225*m.b24 - 0.887203867225*m.b114 >= -0.887203867225) m.c803 = Constraint(expr=m.x179**2 + m.x180**2 + m.x193**2 + m.x194**2 - 2*m.x179*m.x193 - 2*m.x180*m.x194 - 0.887203867225*m.b33 - 0.887203867225*m.b114 >= -0.887203867225) m.c804 = Constraint(expr=m.x181**2 + m.x182**2 + m.x193**2 + m.x194**2 - 2*m.x182*m.x194 - 2*m.x181*m.x193 - 0.887203867225*m.b42 - 0.887203867225*m.b114 >= -0.887203867225) m.c805 = Constraint(expr=m.x183**2 + m.x184**2 + m.x193**2 + m.x194**2 - 2*m.x184*m.x194 - 2*m.x183*m.x193 - 0.887203867225*m.b51 - 0.887203867225*m.b114 >= -0.887203867225) m.c806 = Constraint(expr=m.x185**2 + m.x186**2 + m.x193**2 + m.x194**2 - 2*m.x185*m.x193 - 2*m.x186*m.x194 - 0.887203867225*m.b60 - 0.887203867225*m.b114 >= -0.887203867225) m.c807 = Constraint(expr=m.x187**2 + m.x188**2 + m.x193**2 + m.x194**2 - 2*m.x187*m.x193 - 2*m.x188*m.x194 - 0.887203867225*m.b69 - 0.887203867225*m.b114 >= -0.887203867225) m.c808 = Constraint(expr=m.x189**2 + m.x190**2 + m.x193**2 + m.x194**2 - 2*m.x189*m.x193 - 2*m.x190*m.x194 - 0.469370231236*m.b84 - 0.469370231236*m.b114 >= -0.469370231236) m.c809 = Constraint(expr=m.x191**2 + m.x192**2 + m.x193**2 + m.x194**2 - 2*m.x191*m.x193 - 2*m.x192*m.x194 - 0.469370231236*m.b99 - 0.469370231236*m.b114 >= -0.469370231236) m.c810 = Constraint(expr=m.x193**2 + m.x194**2 + m.x195**2 + m.x196**2 - 2*m.x193*m.x195 - 2*m.x194*m.x196 - 0.469370231236*m.b114 - 0.469370231236*m.b129 >= -0.469370231236) m.c811 = Constraint(expr=m.x193**2 + m.x194**2 + m.x197**2 + m.x198**2 - 2*m.x193*m.x197 - 2*m.x194*m.x198 - 0.469370231236*m.b114 - 0.469370231236*m.b144 >= -0.469370231236) m.c812 = Constraint(expr=m.x177**2 + m.x178**2 + m.x195**2 + m.x196**2 - 2*m.x177*m.x195 - 2*m.x178*m.x196 - 0.887203867225*m.b24 - 0.887203867225*m.b129 >= -0.887203867225) m.c813 = Constraint(expr=m.x179**2 + m.x180**2 + m.x195**2 + m.x196**2 - 2*m.x180*m.x196 - 2*m.x179*m.x195 - 0.887203867225*m.b33 - 0.887203867225*m.b129 >= -0.887203867225) m.c814 = Constraint(expr=m.x181**2 + m.x182**2 + m.x195**2 + m.x196**2 - 2*m.x182*m.x196 - 2*m.x181*m.x195 - 0.887203867225*m.b42 - 0.887203867225*m.b129 >= -0.887203867225) m.c815 = Constraint(expr=m.x183**2 + m.x184**2 + m.x195**2 + m.x196**2 - 2*m.x184*m.x196 - 2*m.x183*m.x195 - 0.887203867225*m.b51 - 0.887203867225*m.b129 >= -0.887203867225) m.c816 = Constraint(expr=m.x185**2 + m.x186**2 + m.x195**2 + m.x196**2 - 2*m.x186*m.x196 - 2*m.x185*m.x195 - 0.887203867225*m.b60 - 0.887203867225*m.b129 >= -0.887203867225) m.c817 = Constraint(expr=m.x187**2 + m.x188**2 + m.x195**2 + m.x196**2 - 2*m.x187*m.x195 - 2*m.x188*m.x196 - 0.887203867225*m.b69 - 0.887203867225*m.b129 >= -0.887203867225) m.c818 = Constraint(expr=m.x189**2 + m.x190**2 + m.x195**2 + m.x196**2 - 2*m.x189*m.x195 - 2*m.x190*m.x196 - 0.469370231236*m.b84 - 0.469370231236*m.b129 >= -0.469370231236) m.c819 = Constraint(expr=m.x191**2 + m.x192**2 + m.x195**2 + m.x196**2 - 2*m.x191*m.x195 - 2*m.x192*m.x196 - 0.469370231236*m.b99 - 0.469370231236*m.b129 >= -0.469370231236) m.c820 = Constraint(expr=m.x193**2 + m.x194**2 + m.x195**2 + m.x196**2 - 2*m.x193*m.x195 - 2*m.x194*m.x196 - 0.469370231236*m.b114 - 0.469370231236*m.b129 >= -0.469370231236) m.c821 = Constraint(expr=m.x195**2 + m.x196**2 + m.x197**2 + m.x198**2 - 2*m.x195*m.x197 - 2*m.x196*m.x198 - 0.469370231236*m.b129 - 0.469370231236*m.b144 >= -0.469370231236) m.c822 = Constraint(expr=m.x177**2 + m.x178**2 + m.x197**2 + m.x198**2 - 2*m.x177*m.x197 - 2*m.x178*m.x198 - 0.887203867225*m.b24 - 0.887203867225*m.b144 >= -0.887203867225) m.c823 = Constraint(expr=m.x179**2 + m.x180**2 + m.x197**2 + m.x198**2 - 2*m.x180*m.x198 - 2*m.x179*m.x197 - 0.887203867225*m.b33 - 0.887203867225*m.b144 >= -0.887203867225) m.c824 = Constraint(expr=m.x181**2 + m.x182**2 + m.x197**2 + m.x198**2 - 2*m.x182*m.x198 - 2*m.x181*m.x197 - 0.887203867225*m.b42 - 0.887203867225*m.b144 >= -0.887203867225) m.c825 = Constraint(expr=m.x183**2 + m.x184**2 + m.x197**2 + m.x198**2 - 2*m.x183*m.x197 - 2*m.x184*m.x198 - 0.887203867225*m.b51 - 0.887203867225*m.b144 >= -0.887203867225) m.c826 = Constraint(expr=m.x185**2 + m.x186**2 + m.x197**2 + m.x198**2 - 2*m.x186*m.x198 - 2*m.x185*m.x197 - 0.887203867225*m.b60 - 0.887203867225*m.b144 >= -0.887203867225) m.c827 = Constraint(expr=m.x187**2 + m.x188**2 + m.x197**2 + m.x198**2 - 2*m.x187*m.x197 - 2*m.x188*m.x198 - 0.887203867225*m.b69 - 0.887203867225*m.b144 >= -0.887203867225) m.c828 = Constraint(expr=m.x189**2 + m.x190**2 + m.x197**2 + m.x198**2 - 2*m.x189*m.x197 - 2*m.x190*m.x198 - 0.469370231236*m.b84 - 0.469370231236*m.b144 >= -0.469370231236) m.c829 = Constraint(expr=m.x191**2 + m.x192**2 + m.x197**2 + m.x198**2 - 2*m.x191*m.x197 - 2*m.x192*m.x198 - 0.469370231236*m.b99 - 0.469370231236*m.b144 >= -0.469370231236) m.c830 = Constraint(expr=m.x193**2 + m.x194**2 + m.x197**2 + m.x198**2 - 2*m.x193*m.x197 - 2*m.x194*m.x198 - 0.469370231236*m.b114 - 0.469370231236*m.b144 >= -0.469370231236) m.c831 = Constraint(expr=m.x195**2 + m.x196**2 + m.x197**2 + m.x198**2 - 2*m.x195*m.x197 - 2*m.x196*m.x198 - 0.469370231236*m.b129 - 0.469370231236*m.b144 >= -0.469370231236) m.c832 = Constraint(expr=m.x177**2 + m.x178**2 + m.x179**2 + m.x180**2 - 2*m.x177*m.x179 - 2*m.x178*m.x180 - 1.436939228176*m.b25 - 1.436939228176*m.b34 >= -1.436939228176) m.c833 = Constraint(expr=m.x177**2 + m.x178**2 + m.x181**2 + m.x182**2 - 2*m.x177*m.x181 - 2*m.x178*m.x182 - 1.436939228176*m.b25 - 1.436939228176*m.b43 >= -1.436939228176) m.c834 = Constraint(expr=m.x177**2 + m.x178**2 + m.x183**2 + m.x184**2 - 2*m.x177*m.x183 - 2*m.x178*m.x184 - 1.436939228176*m.b25 - 1.436939228176*m.b52 >= -1.436939228176) m.c835 = Constraint(expr=m.x177**2 + m.x178**2 + m.x185**2 + m.x186**2 - 2*m.x177*m.x185 - 2*m.x178*m.x186 - 1.436939228176*m.b25 - 1.436939228176*m.b61 >= -1.436939228176) m.c836 = Constraint(expr=m.x177**2 + m.x178**2 + m.x187**2 + m.x188**2 - 2*m.x178*m.x188 - 2*m.x177*m.x187 - 1.436939228176*m.b25 - 1.436939228176*m.b70 >= -1.436939228176) m.c837 = Constraint(expr=m.x177**2 + m.x178**2 + m.x189**2 + m.x190**2 - 2*m.x177*m.x189 - 2*m.x178*m.x190 - 0.887203867225*m.b25 - 0.887203867225*m.b85 >= -0.887203867225) m.c838 = Constraint(expr=m.x177**2 + m.x178**2 + m.x191**2 + m.x192**2 - 2*m.x178*m.x192 - 2*m.x177*m.x191 - 0.887203867225*m.b25 - 0.887203867225*m.b100 >= -0.887203867225) m.c839 = Constraint(expr=m.x177**2 + m.x178**2 + m.x193**2 + m.x194**2 - 2*m.x178*m.x194 - 2*m.x177*m.x193 - 0.887203867225*m.b25 - 0.887203867225*m.b115 >= -0.887203867225) m.c840 = Constraint(expr=m.x177**2 + m.x178**2 + m.x195**2 + m.x196**2 - 2*m.x177*m.x195 - 2*m.x178*m.x196 - 0.887203867225*m.b25 - 0.887203867225*m.b130 >= -0.887203867225) m.c841 = Constraint(expr=m.x177**2 + m.x178**2 + m.x197**2 + m.x198**2 - 2*m.x177*m.x197 - 2*m.x178*m.x198 - 0.887203867225*m.b25 - 0.887203867225*m.b145 >= -0.887203867225) m.c842 = Constraint(expr=m.x177**2 + m.x178**2 + m.x179**2 + m.x180**2 - 2*m.x177*m.x179 - 2*m.x178*m.x180 - 1.436939228176*m.b25 - 1.436939228176*m.b34 >= -1.436939228176) m.c843 = Constraint(expr=m.x179**2 + m.x180**2 + m.x181**2 + m.x182**2 - 2*m.x179*m.x181 - 2*m.x180*m.x182 - 1.436939228176*m.b34 - 1.436939228176*m.b43 >= -1.436939228176) m.c844 = Constraint(expr=m.x179**2 + m.x180**2 + m.x183**2 + m.x184**2 - 2*m.x179*m.x183 - 2*m.x180*m.x184 - 1.436939228176*m.b34 - 1.436939228176*m.b52 >= -1.436939228176) m.c845 = Constraint(expr=m.x179**2 + m.x180**2 + m.x185**2 + m.x186**2 - 2*m.x179*m.x185 - 2*m.x180*m.x186 - 1.436939228176*m.b34 - 1.436939228176*m.b61 >= -1.436939228176) m.c846 = Constraint(expr=m.x179**2 + m.x180**2 + m.x187**2 + m.x188**2 - 2*m.x179*m.x187 - 2*m.x180*m.x188 - 1.436939228176*m.b34 - 1.436939228176*m.b70 >= -1.436939228176) m.c847 = Constraint(expr=m.x179**2 + m.x180**2 + m.x189**2 + m.x190**2 - 2*m.x180*m.x190 - 2*m.x179*m.x189 - 0.887203867225*m.b34 - 0.887203867225*m.b85 >= -0.887203867225) m.c848 = Constraint(expr=m.x179**2 + m.x180**2 + m.x191**2 + m.x192**2 - 2*m.x180*m.x192 - 2*m.x179*m.x191 - 0.887203867225*m.b34 - 0.887203867225*m.b100 >= -0.887203867225) m.c849 = Constraint(expr=m.x179**2 + m.x180**2 + m.x193**2 + m.x194**2 - 2*m.x179*m.x193 - 2*m.x180*m.x194 - 0.887203867225*m.b34 - 0.887203867225*m.b115 >= -0.887203867225) m.c850 = Constraint(expr=m.x179**2 + m.x180**2 + m.x195**2 + m.x196**2 - 2*m.x180*m.x196 - 2*m.x179*m.x195 - 0.887203867225*m.b34 - 0.887203867225*m.b130 >= -0.887203867225) m.c851 = Constraint(expr=m.x179**2 + m.x180**2 + m.x197**2 + m.x198**2 - 2*m.x180*m.x198 - 2*m.x179*m.x197 - 0.887203867225*m.b34 - 0.887203867225*m.b145 >= -0.887203867225) m.c852 = Constraint(expr=m.x177**2 + m.x178**2 + m.x181**2 + m.x182**2 - 2*m.x177*m.x181 - 2*m.x178*m.x182 - 1.436939228176*m.b25 - 1.436939228176*m.b43 >= -1.436939228176) m.c853 = Constraint(expr=m.x179**2 + m.x180**2 + m.x181**2 + m.x182**2 - 2*m.x179*m.x181 - 2*m.x180*m.x182 - 1.436939228176*m.b34 - 1.436939228176*m.b43 >= -1.436939228176) m.c854 = Constraint(expr=m.x181**2 + m.x182**2 + m.x183**2 + m.x184**2 - 2*m.x181*m.x183 - 2*m.x182*m.x184 - 1.436939228176*m.b43 - 1.436939228176*m.b52 >= -1.436939228176) m.c855 = Constraint(expr=m.x181**2 + m.x182**2 + m.x185**2 + m.x186**2 - 2*m.x181*m.x185 - 2*m.x182*m.x186 - 1.436939228176*m.b43 - 1.436939228176*m.b61 >= -1.436939228176) m.c856 = Constraint(expr=m.x181**2 + m.x182**2 + m.x187**2 + m.x188**2 - 2*m.x182*m.x188 - 2*m.x181*m.x187 - 1.436939228176*m.b43 - 1.436939228176*m.b70 >= -1.436939228176) m.c857 = Constraint(expr=m.x181**2 + m.x182**2 + m.x189**2 + m.x190**2 - 2*m.x182*m.x190 - 2*m.x181*m.x189 - 0.887203867225*m.b43 - 0.887203867225*m.b85 >= -0.887203867225) m.c858 = Constraint(expr=m.x181**2 + m.x182**2 + m.x191**2 + m.x192**2 - 2*m.x181*m.x191 - 2*m.x182*m.x192 - 0.887203867225*m.b43 - 0.887203867225*m.b100 >= -0.887203867225) m.c859 = Constraint(expr=m.x181**2 + m.x182**2 + m.x193**2 + m.x194**2 - 2*m.x182*m.x194 - 2*m.x181*m.x193 - 0.887203867225*m.b43 - 0.887203867225*m.b115 >= -0.887203867225) m.c860 = Constraint(expr=m.x181**2 + m.x182**2 + m.x195**2 + m.x196**2 - 2*m.x182*m.x196 - 2*m.x181*m.x195 - 0.887203867225*m.b43 - 0.887203867225*m.b130 >= -0.887203867225) m.c861 = Constraint(expr=m.x181**2 + m.x182**2 + m.x197**2 + m.x198**2 - 2*m.x182*m.x198 - 2*m.x181*m.x197 - 0.887203867225*m.b43 - 0.887203867225*m.b145 >= -0.887203867225) m.c862 = Constraint(expr=m.x177**2 + m.x178**2 + m.x183**2 + m.x184**2 - 2*m.x177*m.x183 - 2*m.x178*m.x184 - 1.436939228176*m.b25 - 1.436939228176*m.b52 >= -1.436939228176) m.c863 = Constraint(expr=m.x179**2 + m.x180**2 + m.x183**2 + m.x184**2 - 2*m.x179*m.x183 - 2*m.x180*m.x184 - 1.436939228176*m.b34 - 1.436939228176*m.b52 >= -1.436939228176) m.c864 = Constraint(expr=m.x181**2 + m.x182**2 + m.x183**2 + m.x184**2 - 2*m.x181*m.x183 - 2*m.x182*m.x184 - 1.436939228176*m.b43 - 1.436939228176*m.b52 >= -1.436939228176) m.c865 = Constraint(expr=m.x183**2 + m.x184**2 + m.x185**2 + m.x186**2 - 2*m.x183*m.x185 - 2*m.x184*m.x186 - 1.436939228176*m.b52 - 1.436939228176*m.b61 >= -1.436939228176) m.c866 = Constraint(expr=m.x183**2 + m.x184**2 + m.x187**2 + m.x188**2 - 2*m.x184*m.x188 - 2*m.x183*m.x187 - 1.436939228176*m.b52 - 1.436939228176*m.b70 >= -1.436939228176) m.c867 = Constraint(expr=m.x183**2 + m.x184**2 + m.x189**2 + m.x190**2 - 2*m.x183*m.x189 - 2*m.x184*m.x190 - 0.887203867225*m.b52 - 0.887203867225*m.b85 >= -0.887203867225) m.c868 = Constraint(expr=m.x183**2 + m.x184**2 + m.x191**2 + m.x192**2 - 2*m.x184*m.x192 - 2*m.x183*m.x191 - 0.887203867225*m.b52 - 0.887203867225*m.b100 >= -0.887203867225) m.c869 = Constraint(expr=m.x183**2 + m.x184**2 + m.x193**2 + m.x194**2 - 2*m.x184*m.x194 - 2*m.x183*m.x193 - 0.887203867225*m.b52 - 0.887203867225*m.b115 >= -0.887203867225) m.c870 = Constraint(expr=m.x183**2 + m.x184**2 + m.x195**2 + m.x196**2 - 2*m.x183*m.x195 - 2*m.x184*m.x196 - 0.887203867225*m.b52 - 0.887203867225*m.b130 >= -0.887203867225) m.c871 = Constraint(expr=m.x183**2 + m.x184**2 + m.x197**2 + m.x198**2 - 2*m.x183*m.x197 - 2*m.x184*m.x198 - 0.887203867225*m.b52 - 0.887203867225*m.b145 >= -0.887203867225) m.c872 = Constraint(expr=m.x177**2 + m.x178**2 + m.x185**2 + m.x186**2 - 2*m.x177*m.x185 - 2*m.x178*m.x186 - 1.436939228176*m.b25 - 1.436939228176*m.b61 >= -1.436939228176) m.c873 = Constraint(expr=m.x179**2 + m.x180**2 + m.x185**2 + m.x186**2 - 2*m.x179*m.x185 - 2*m.x180*m.x186 - 1.436939228176*m.b34 - 1.436939228176*m.b61 >= -1.436939228176) m.c874 = Constraint(expr=m.x181**2 + m.x182**2 + m.x185**2 + m.x186**2 - 2*m.x181*m.x185 - 2*m.x182*m.x186 - 1.436939228176*m.b43 - 1.436939228176*m.b61 >= -1.436939228176) m.c875 = Constraint(expr=m.x183**2 + m.x184**2 + m.x185**2 + m.x186**2 - 2*m.x183*m.x185 - 2*m.x184*m.x186 - 1.436939228176*m.b52 - 1.436939228176*m.b61 >= -1.436939228176) m.c876 = Constraint(expr=m.x185**2 + m.x186**2 + m.x187**2 + m.x188**2 - 2*m.x185*m.x187 - 2*m.x186*m.x188 - 1.436939228176*m.b61 - 1.436939228176*m.b70 >= -1.436939228176) m.c877 = Constraint(expr=m.x185**2 + m.x186**2 + m.x189**2 + m.x190**2 - 2*m.x186*m.x190 - 2*m.x185*m.x189 - 0.887203867225*m.b61 - 0.887203867225*m.b85 >= -0.887203867225) m.c878 = Constraint(expr=m.x185**2 + m.x186**2 + m.x191**2 + m.x192**2 - 2*m.x186*m.x192 - 2*m.x185*m.x191 - 0.887203867225*m.b61 - 0.887203867225*m.b100 >= -0.887203867225) m.c879 = Constraint(expr=m.x185**2 + m.x186**2 + m.x193**2 + m.x194**2 - 2*m.x185*m.x193 - 2*m.x186*m.x194 - 0.887203867225*m.b61 - 0.887203867225*m.b115 >= -0.887203867225) m.c880 = Constraint(expr=m.x185**2 + m.x186**2 + m.x195**2 + m.x196**2 - 2*m.x186*m.x196 - 2*m.x185*m.x195 - 0.887203867225*m.b61 - 0.887203867225*m.b130 >= -0.887203867225) m.c881 = Constraint(expr=m.x185**2 + m.x186**2 + m.x197**2 + m.x198**2 - 2*m.x186*m.x198 - 2*m.x185*m.x197 - 0.887203867225*m.b61 - 0.887203867225*m.b145 >= -0.887203867225) m.c882 = Constraint(expr=m.x177**2 + m.x178**2 + m.x187**2 + m.x188**2 - 2*m.x178*m.x188 - 2*m.x177*m.x187 - 1.436939228176*m.b25 - 1.436939228176*m.b70 >= -1.436939228176) m.c883 = Constraint(expr=m.x179**2 + m.x180**2 + m.x187**2 + m.x188**2 - 2*m.x179*m.x187 - 2*m.x180*m.x188 - 1.436939228176*m.b34 - 1.436939228176*m.b70 >= -1.436939228176) m.c884 = Constraint(expr=m.x181**2 + m.x182**2 + m.x187**2 + m.x188**2 - 2*m.x182*m.x188 - 2*m.x181*m.x187 - 1.436939228176*m.b43 - 1.436939228176*m.b70 >= -1.436939228176) m.c885 = Constraint(expr=m.x183**2 + m.x184**2 + m.x187**2 + m.x188**2 - 2*m.x184*m.x188 - 2*m.x183*m.x187 - 1.436939228176*m.b52 - 1.436939228176*m.b70 >= -1.436939228176) m.c886 = Constraint(expr=m.x185**2 + m.x186**2 + m.x187**2 + m.x188**2 - 2*m.x185*m.x187 - 2*m.x186*m.x188 - 1.436939228176*m.b61 - 1.436939228176*m.b70 >= -1.436939228176) m.c887 = Constraint(expr=m.x187**2 + m.x188**2 + m.x189**2 + m.x190**2 - 2*m.x187*m.x189 - 2*m.x188*m.x190 - 0.887203867225*m.b70 - 0.887203867225*m.b85 >= -0.887203867225) m.c888 = Constraint(expr=m.x187**2 + m.x188**2 + m.x191**2 + m.x192**2 - 2*m.x187*m.x191 - 2*m.x188*m.x192 - 0.887203867225*m.b70 - 0.887203867225*m.b100 >= -0.887203867225) m.c889 = Constraint(expr=m.x187**2 + m.x188**2 + m.x193**2 + m.x194**2 - 2*m.x187*m.x193 - 2*m.x188*m.x194 - 0.887203867225*m.b70 - 0.887203867225*m.b115 >= -0.887203867225) m.c890 = Constraint(expr=m.x187**2 + m.x188**2 + m.x195**2 + m.x196**2 - 2*m.x187*m.x195 - 2*m.x188*m.x196 - 0.887203867225*m.b70 - 0.887203867225*m.b130 >= -0.887203867225) m.c891 = Constraint(expr=m.x187**2 + m.x188**2 + m.x197**2 + m.x198**2 - 2*m.x187*m.x197 - 2*m.x188*m.x198 - 0.887203867225*m.b70 - 0.887203867225*m.b145 >= -0.887203867225) m.c892 = Constraint(expr=m.x177**2 + m.x178**2 + m.x189**2 + m.x190**2 - 2*m.x177*m.x189 - 2*m.x178*m.x190 - 0.887203867225*m.b25 - 0.887203867225*m.b85 >= -0.887203867225) m.c893 = Constraint(expr=m.x179**2 + m.x180**2 + m.x189**2 + m.x190**2 - 2*m.x180*m.x190 - 2*m.x179*m.x189 - 0.887203867225*m.b34 - 0.887203867225*m.b85 >= -0.887203867225) m.c894 = Constraint(expr=m.x181**2 + m.x182**2 + m.x189**2 + m.x190**2 - 2*m.x182*m.x190 - 2*m.x181*m.x189 - 0.887203867225*m.b43 - 0.887203867225*m.b85 >= -0.887203867225) m.c895 = Constraint(expr=m.x183**2 + m.x184**2 + m.x189**2 + m.x190**2 - 2*m.x183*m.x189 - 2*m.x184*m.x190 - 0.887203867225*m.b52 - 0.887203867225*m.b85 >= -0.887203867225) m.c896 = Constraint(expr=m.x185**2 + m.x186**2 + m.x189**2 + m.x190**2 - 2*m.x186*m.x190 - 2*m.x185*m.x189 - 0.887203867225*m.b61 - 0.887203867225*m.b85 >= -0.887203867225) m.c897 = Constraint(expr=m.x187**2 + m.x188**2 + m.x189**2 + m.x190**2 - 2*m.x187*m.x189 - 2*m.x188*m.x190 - 0.887203867225*m.b70 - 0.887203867225*m.b85 >= -0.887203867225) m.c898 = Constraint(expr=m.x189**2 + m.x190**2 + m.x191**2 + m.x192**2 - 2*m.x189*m.x191 - 2*m.x190*m.x192 - 0.469370231236*m.b85 - 0.469370231236*m.b100 >= -0.469370231236) m.c899 = Constraint(expr=m.x189**2 + m.x190**2 + m.x193**2 + m.x194**2 - 2*m.x189*m.x193 - 2*m.x190*m.x194 - 0.469370231236*m.b85 - 0.469370231236*m.b115 >= -0.469370231236) m.c900 = Constraint(expr=m.x189**2 + m.x190**2 + m.x195**2 + m.x196**2 - 2*m.x189*m.x195 - 2*m.x190*m.x196 - 0.469370231236*m.b85 - 0.469370231236*m.b130 >= -0.469370231236) m.c901 = Constraint(expr=m.x189**2 + m.x190**2 + m.x197**2 + m.x198**2 - 2*m.x189*m.x197 - 2*m.x190*m.x198 - 0.469370231236*m.b85 - 0.469370231236*m.b145 >= -0.469370231236) m.c902 = Constraint(expr=m.x177**2 + m.x178**2 + m.x191**2 + m.x192**2 - 2*m.x178*m.x192 - 2*m.x177*m.x191 - 0.887203867225*m.b25 - 0.887203867225*m.b100 >= -0.887203867225) m.c903 = Constraint(expr=m.x179**2 + m.x180**2 + m.x191**2 + m.x192**2 - 2*m.x180*m.x192 - 2*m.x179*m.x191 - 0.887203867225*m.b34 - 0.887203867225*m.b100 >= -0.887203867225) m.c904 = Constraint(expr=m.x181**2 + m.x182**2 + m.x191**2 + m.x192**2 - 2*m.x181*m.x191 - 2*m.x182*m.x192 - 0.887203867225*m.b43 - 0.887203867225*m.b100 >= -0.887203867225) m.c905 = Constraint(expr=m.x183**2 + m.x184**2 + m.x191**2 + m.x192**2 - 2*m.x184*m.x192 - 2*m.x183*m.x191 - 0.887203867225*m.b52 - 0.887203867225*m.b100 >= -0.887203867225) m.c906 = Constraint(expr=m.x185**2 + m.x186**2 + m.x191**2 + m.x192**2 - 2*m.x186*m.x192 - 2*m.x185*m.x191 - 0.887203867225*m.b61 - 0.887203867225*m.b100 >= -0.887203867225) m.c907 = Constraint(expr=m.x187**2 + m.x188**2 + m.x191**2 + m.x192**2 - 2*m.x187*m.x191 - 2*m.x188*m.x192 - 0.887203867225*m.b70 - 0.887203867225*m.b100 >= -0.887203867225) m.c908 = Constraint(expr=m.x189**2 + m.x190**2 + m.x191**2 + m.x192**2 - 2*m.x189*m.x191 - 2*m.x190*m.x192 - 0.469370231236*m.b85 - 0.469370231236*m.b100 >= -0.469370231236) m.c909 = Constraint(expr=m.x191**2 + m.x192**2 + m.x193**2 + m.x194**2 - 2*m.x191*m.x193 - 2*m.x192*m.x194 - 0.469370231236*m.b100 - 0.469370231236*m.b115 >= -0.469370231236) m.c910 = Constraint(expr=m.x191**2 + m.x192**2 + m.x195**2 + m.x196**2 - 2*m.x191*m.x195 - 2*m.x192*m.x196 - 0.469370231236*m.b100 - 0.469370231236*m.b130 >= -0.469370231236) m.c911 = Constraint(expr=m.x191**2 + m.x192**2 + m.x197**2 + m.x198**2 - 2*m.x191*m.x197 - 2*m.x192*m.x198 - 0.469370231236*m.b100 - 0.469370231236*m.b145 >= -0.469370231236) m.c912 = Constraint(expr=m.x177**2 + m.x178**2 + m.x193**2 + m.x194**2 - 2*m.x178*m.x194 - 2*m.x177*m.x193 - 0.887203867225*m.b25 - 0.887203867225*m.b115 >= -0.887203867225) m.c913 = Constraint(expr=m.x179**2 + m.x180**2 + m.x193**2 + m.x194**2 - 2*m.x179*m.x193 - 2*m.x180*m.x194 - 0.887203867225*m.b34 - 0.887203867225*m.b115 >= -0.887203867225) m.c914 = Constraint(expr=m.x181**2 + m.x182**2 + m.x193**2 + m.x194**2 - 2*m.x182*m.x194 - 2*m.x181*m.x193 - 0.887203867225*m.b43 - 0.887203867225*m.b115 >= -0.887203867225) m.c915 = Constraint(expr=m.x183**2 + m.x184**2 + m.x193**2 + m.x194**2 - 2*m.x184*m.x194 - 2*m.x183*m.x193 - 0.887203867225*m.b52 - 0.887203867225*m.b115 >= -0.887203867225) m.c916 = Constraint(expr=m.x185**2 + m.x186**2 + m.x193**2 + m.x194**2 - 2*m.x185*m.x193 - 2*m.x186*m.x194 - 0.887203867225*m.b61 - 0.887203867225*m.b115 >= -0.887203867225) m.c917 = Constraint(expr=m.x187**2 + m.x188**2 + m.x193**2 + m.x194**2 - 2*m.x187*m.x193 - 2*m.x188*m.x194 - 0.887203867225*m.b70 - 0.887203867225*m.b115 >= -0.887203867225) m.c918 = Constraint(expr=m.x189**2 + m.x190**2 + m.x193**2 + m.x194**2 - 2*m.x189*m.x193 - 2*m.x190*m.x194 - 0.469370231236*m.b85 - 0.469370231236*m.b115 >= -0.469370231236) m.c919 = Constraint(expr=m.x191**2 + m.x192**2 + m.x193**2 + m.x194**2 - 2*m.x191*m.x193 - 2*m.x192*m.x194 - 0.469370231236*m.b100 - 0.469370231236*m.b115 >= -0.469370231236) m.c920 = Constraint(expr=m.x193**2 + m.x194**2 + m.x195**2 + m.x196**2 - 2*m.x193*m.x195 - 2*m.x194*m.x196 - 0.469370231236*m.b115 - 0.469370231236*m.b130 >= -0.469370231236) m.c921 = Constraint(expr=m.x193**2 + m.x194**2 + m.x197**2 + m.x198**2 - 2*m.x193*m.x197 - 2*m.x194*m.x198 - 0.469370231236*m.b115 - 0.469370231236*m.b145 >= -0.469370231236) m.c922 = Constraint(expr=m.x177**2 + m.x178**2 + m.x195**2 + m.x196**2 - 2*m.x177*m.x195 - 2*m.x178*m.x196 - 0.887203867225*m.b25 - 0.887203867225*m.b130 >= -0.887203867225) m.c923 = Constraint(expr=m.x179**2 + m.x180**2 + m.x195**2 + m.x196**2 - 2*m.x180*m.x196 - 2*m.x179*m.x195 - 0.887203867225*m.b34 - 0.887203867225*m.b130 >= -0.887203867225) m.c924 = Constraint(expr=m.x181**2 + m.x182**2 + m.x195**2 + m.x196**2 - 2*m.x182*m.x196 - 2*m.x181*m.x195 - 0.887203867225*m.b43 - 0.887203867225*m.b130 >= -0.887203867225) m.c925 = Constraint(expr=m.x183**2 + m.x184**2 + m.x195**2 + m.x196**2 - 2*m.x183*m.x195 - 2*m.x184*m.x196 - 0.887203867225*m.b52 - 0.887203867225*m.b130 >= -0.887203867225) m.c926 = Constraint(expr=m.x185**2 + m.x186**2 + m.x195**2 + m.x196**2 - 2*m.x186*m.x196 - 2*m.x185*m.x195 - 0.887203867225*m.b61 - 0.887203867225*m.b130 >= -0.887203867225) m.c927 = Constraint(expr=m.x187**2 + m.x188**2 + m.x195**2 + m.x196**2 - 2*m.x187*m.x195 - 2*m.x188*m.x196 - 0.887203867225*m.b70 - 0.887203867225*m.b130 >= -0.887203867225) m.c928 = Constraint(expr=m.x189**2 + m.x190**2 + m.x195**2 + m.x196**2 - 2*m.x189*m.x195 - 2*m.x190*m.x196 - 0.469370231236*m.b85 - 0.469370231236*m.b130 >= -0.469370231236) m.c929 = Constraint(expr=m.x191**2 + m.x192**2 + m.x195**2 + m.x196**2 - 2*m.x191*m.x195 - 2*m.x192*m.x196 - 0.469370231236*m.b100 - 0.469370231236*m.b130 >= -0.469370231236) m.c930 = Constraint(expr=m.x193**2 + m.x194**2 + m.x195**2 + m.x196**2 - 2*m.x193*m.x195 - 2*m.x194*m.x196 - 0.469370231236*m.b115 - 0.469370231236*m.b130 >= -0.469370231236) m.c931 = Constraint(expr=m.x195**2 + m.x196**2 + m.x197**2 + m.x198**2 - 2*m.x195*m.x197 - 2*m.x196*m.x198 - 0.469370231236*m.b130 - 0.469370231236*m.b145 >= -0.469370231236) m.c932 = Constraint(expr=m.x177**2 + m.x178**2 + m.x197**2 + m.x198**2 - 2*m.x177*m.x197 - 2*m.x178*m.x198 - 0.887203867225*m.b25 - 0.887203867225*m.b145 >= -0.887203867225) m.c933 = Constraint(expr=m.x179**2 + m.x180**2 + m.x197**2 + m.x198**2 - 2*m.x180*m.x198 - 2*m.x179*m.x197 - 0.887203867225*m.b34 - 0.887203867225*m.b145 >= -0.887203867225) m.c934 = Constraint(expr=m.x181**2 + m.x182**2 + m.x197**2 + m.x198**2 - 2*m.x182*m.x198 - 2*m.x181*m.x197 - 0.887203867225*m.b43 - 0.887203867225*m.b145 >= -0.887203867225) m.c935 = Constraint(expr=m.x183**2 + m.x184**2 + m.x197**2 + m.x198**2 - 2*m.x183*m.x197 - 2*m.x184*m.x198 - 0.887203867225*m.b52 - 0.887203867225*m.b145 >= -0.887203867225) m.c936 = Constraint(expr=m.x185**2 + m.x186**2 + m.x197**2 + m.x198**2 - 2*m.x185*m.x197 - 2*m.x186*m.x198 - 0.887203867225*m.b61 - 0.887203867225*m.b145 >= -0.887203867225) m.c937 = Constraint(expr=m.x187**2 + m.x188**2 + m.x197**2 + m.x198**2 - 2*m.x187*m.x197 - 2*m.x188*m.x198 - 0.887203867225*m.b70 - 0.887203867225*m.b145 >= -0.887203867225) m.c938 = Constraint(expr=m.x189**2 + m.x190**2 + m.x197**2 + m.x198**2 - 2*m.x189*m.x197 - 2*m.x190*m.x198 - 0.469370231236*m.b85 - 0.469370231236*m.b145 >= -0.469370231236) m.c939 = Constraint(expr=m.x191**2 + m.x192**2 + m.x197**2 + m.x198**2 - 2*m.x191*m.x197 - 2*m.x192*m.x198 - 0.469370231236*m.b100 - 0.469370231236*m.b145 >= -0.469370231236) m.c940 = Constraint(expr=m.x193**2 + m.x194**2 + m.x197**2 + m.x198**2 - 2*m.x193*m.x197 - 2*m.x194*m.x198 - 0.469370231236*m.b115 - 0.469370231236*m.b145 >= -0.469370231236) m.c941 = Constraint(expr=m.x195**2 + m.x196**2 + m.x197**2 + m.x198**2 - 2*m.x195*m.x197 - 2*m.x196*m.x198 - 0.469370231236*m.b130 - 0.469370231236*m.b145 >= -0.469370231236) m.c942 = Constraint(expr=m.x177**2 + m.x178**2 + m.x179**2 + m.x180**2 - 2*m.x177*m.x179 - 2*m.x178*m.x180 - 1.436939228176*m.b26 - 1.436939228176*m.b35 >= -1.436939228176) m.c943 = Constraint(expr=m.x177**2 + m.x178**2 + m.x181**2 + m.x182**2 - 2*m.x177*m.x181 - 2*m.x178*m.x182 - 1.436939228176*m.b26 - 1.436939228176*m.b44 >= -1.436939228176) m.c944 = Constraint(expr=m.x177**2 + m.x178**2 + m.x183**2 + m.x184**2 - 2*m.x177*m.x183 - 2*m.x178*m.x184 - 1.436939228176*m.b26 - 1.436939228176*m.b53 >= -1.436939228176) m.c945 = Constraint(expr=m.x177**2 + m.x178**2 + m.x185**2 + m.x186**2 - 2*m.x177*m.x185 - 2*m.x178*m.x186 - 1.436939228176*m.b26 - 1.436939228176*m.b62 >= -1.436939228176) m.c946 = Constraint(expr=m.x177**2 + m.x178**2 + m.x187**2 + m.x188**2 - 2*m.x178*m.x188 - 2*m.x177*m.x187 - 1.436939228176*m.b26 - 1.436939228176*m.b71 >= -1.436939228176) m.c947 = Constraint(expr=m.x177**2 + m.x178**2 + m.x189**2 + m.x190**2 - 2*m.x177*m.x189 - 2*m.x178*m.x190 - 0.887203867225*m.b26 - 0.887203867225*m.b86 >= -0.887203867225) m.c948 = Constraint(expr=m.x177**2 + m.x178**2 + m.x191**2 + m.x192**2 - 2*m.x178*m.x192 - 2*m.x177*m.x191 - 0.887203867225*m.b26 - 0.887203867225*m.b101 >= -0.887203867225) m.c949 = Constraint(expr=m.x177**2 + m.x178**2 + m.x193**2 + m.x194**2 - 2*m.x178*m.x194 - 2*m.x177*m.x193 - 0.887203867225*m.b26 - 0.887203867225*m.b116 >= -0.887203867225) m.c950 = Constraint(expr=m.x177**2 + m.x178**2 + m.x195**2 + m.x196**2 - 2*m.x177*m.x195 - 2*m.x178*m.x196 - 0.887203867225*m.b26 - 0.887203867225*m.b131 >= -0.887203867225) m.c951 = Constraint(expr=m.x177**2 + m.x178**2 + m.x197**2 + m.x198**2 - 2*m.x177*m.x197 - 2*m.x178*m.x198 - 0.887203867225*m.b26 - 0.887203867225*m.b146 >= -0.887203867225) m.c952 = Constraint(expr=m.x177**2 + m.x178**2 + m.x199**2 + m.x200**2 - 2*m.x178*m.x200 - 2*m.x177*m.x199 - 2.118573403024*m.b26 - 2.118573403024*m.b151 >= -2.118573403024) m.c953 = Constraint(expr=m.x177**2 + m.x178**2 + m.x201**2 + m.x202**2 - 2*m.x178*m.x202 - 2*m.x177*m.x201 - 2.118573403024*m.b26 - 2.118573403024*m.b156 >= -2.118573403024) m.c954 = Constraint(expr=m.x177**2 + m.x178**2 + m.x203**2 + m.x204**2 - 2*m.x177*m.x203 - 2*m.x178*m.x204 - 2.118573403024*m.b26 - 2.118573403024*m.b161 >= -2.118573403024) m.c955 = Constraint(expr=m.x177**2 + m.x178**2 + m.x205**2 + m.x206**2 - 2*m.x178*m.x206 - 2*m.x177*m.x205 - 2.118573403024*m.b26 - 2.118573403024*m.b166 >= -2.118573403024) m.c956 = Constraint(expr=m.x177**2 + m.x178**2 + m.x179**2 + m.x180**2 - 2*m.x177*m.x179 - 2*m.x178*m.x180 - 1.436939228176*m.b26 - 1.436939228176*m.b35 >= -1.436939228176) m.c957 = Constraint(expr=m.x179**2 + m.x180**2 + m.x181**2 + m.x182**2 - 2*m.x179*m.x181 - 2*m.x180*m.x182 - 1.436939228176*m.b35 - 1.436939228176*m.b44 >= -1.436939228176) m.c958 = Constraint(expr=m.x179**2 + m.x180**2 + m.x183**2 + m.x184**2 - 2*m.x179*m.x183 - 2*m.x180*m.x184 - 1.436939228176*m.b35 - 1.436939228176*m.b53 >= -1.436939228176) m.c959 = Constraint(expr=m.x179**2 + m.x180**2 + m.x185**2 + m.x186**2 - 2*m.x179*m.x185 - 2*m.x180*m.x186 - 1.436939228176*m.b35 - 1.436939228176*m.b62 >= -1.436939228176) m.c960 = Constraint(expr=m.x179**2 + m.x180**2 + m.x187**2 + m.x188**2 - 2*m.x179*m.x187 - 2*m.x180*m.x188 - 1.436939228176*m.b35 - 1.436939228176*m.b71 >= -1.436939228176) m.c961 = Constraint(expr=m.x179**2 + m.x180**2 + m.x189**2 + m.x190**2 - 2*m.x180*m.x190 - 2*m.x179*m.x189 - 0.887203867225*m.b35 - 0.887203867225*m.b86 >= -0.887203867225) m.c962 = Constraint(expr=m.x179**2 + m.x180**2 + m.x191**2 + m.x192**2 - 2*m.x180*m.x192 - 2*m.x179*m.x191 - 0.887203867225*m.b35 - 0.887203867225*m.b101 >= -0.887203867225) m.c963 = Constraint(expr=m.x179**2 + m.x180**2 + m.x193**2 + m.x194**2 - 2*m.x179*m.x193 - 2*m.x180*m.x194 - 0.887203867225*m.b35 - 0.887203867225*m.b116 >= -0.887203867225) m.c964 = Constraint(expr=m.x179**2 + m.x180**2 + m.x195**2 + m.x196**2 - 2*m.x180*m.x196 - 2*m.x179*m.x195 - 0.887203867225*m.b35 - 0.887203867225*m.b131 >= -0.887203867225) m.c965 = Constraint(expr=m.x179**2 + m.x180**2 + m.x197**2 + m.x198**2 - 2*m.x180*m.x198 - 2*m.x179*m.x197 - 0.887203867225*m.b35 - 0.887203867225*m.b146 >= -0.887203867225) m.c966 = Constraint(expr=m.x179**2 + m.x180**2 + m.x199**2 + m.x200**2 - 2*m.x180*m.x200 - 2*m.x179*m.x199 - 2.118573403024*m.b35 - 2.118573403024*m.b151 >= -2.118573403024) m.c967 = Constraint(expr=m.x179**2 + m.x180**2 + m.x201**2 + m.x202**2 - 2*m.x179*m.x201 - 2*m.x180*m.x202 - 2.118573403024*m.b35 - 2.118573403024*m.b156 >= -2.118573403024) m.c968 = Constraint(expr=m.x179**2 + m.x180**2 + m.x203**2 + m.x204**2 - 2*m.x180*m.x204 - 2*m.x179*m.x203 - 2.118573403024*m.b35 - 2.118573403024*m.b161 >= -2.118573403024) m.c969 = Constraint(expr=m.x179**2 + m.x180**2 + m.x205**2 + m.x206**2 - 2*m.x179*m.x205 - 2*m.x180*m.x206 - 2.118573403024*m.b35 - 2.118573403024*m.b166 >= -2.118573403024) m.c970 = Constraint(expr=m.x177**2 + m.x178**2 + m.x181**2 + m.x182**2 - 2*m.x177*m.x181 - 2*m.x178*m.x182 - 1.436939228176*m.b26 - 1.436939228176*m.b44 >= -1.436939228176) m.c971 = Constraint(expr=m.x179**2 + m.x180**2 + m.x181**2 + m.x182**2 - 2*m.x179*m.x181 - 2*m.x180*m.x182 - 1.436939228176*m.b35 - 1.436939228176*m.b44 >= -1.436939228176) m.c972 = Constraint(expr=m.x181**2 + m.x182**2 + m.x183**2 + m.x184**2 - 2*m.x181*m.x183 - 2*m.x182*m.x184 - 1.436939228176*m.b44 - 1.436939228176*m.b53 >= -1.436939228176) m.c973 = Constraint(expr=m.x181**2 + m.x182**2 + m.x185**2 + m.x186**2 - 2*m.x181*m.x185 - 2*m.x182*m.x186 - 1.436939228176*m.b44 - 1.436939228176*m.b62 >= -1.436939228176) m.c974 = Constraint(expr=m.x181**2 + m.x182**2 + m.x187**2 + m.x188**2 - 2*m.x182*m.x188 - 2*m.x181*m.x187 - 1.436939228176*m.b44 - 1.436939228176*m.b71 >= -1.436939228176) m.c975 = Constraint(expr=m.x181**2 + m.x182**2 + m.x189**2 + m.x190**2 - 2*m.x182*m.x190 - 2*m.x181*m.x189 - 0.887203867225*m.b44 - 0.887203867225*m.b86 >= -0.887203867225) m.c976 = Constraint(expr=m.x181**2 + m.x182**2 + m.x191**2 + m.x192**2 - 2*m.x181*m.x191 - 2*m.x182*m.x192 - 0.887203867225*m.b44 - 0.887203867225*m.b101 >= -0.887203867225) m.c977 = Constraint(expr=m.x181**2 + m.x182**2 + m.x193**2 + m.x194**2 - 2*m.x182*m.x194 - 2*m.x181*m.x193 - 0.887203867225*m.b44 - 0.887203867225*m.b116 >= -0.887203867225) m.c978 = Constraint(expr=m.x181**2 + m.x182**2 + m.x195**2 + m.x196**2 - 2*m.x182*m.x196 - 2*m.x181*m.x195 - 0.887203867225*m.b44 - 0.887203867225*m.b131 >= -0.887203867225) m.c979 = Constraint(expr=m.x181**2 + m.x182**2 + m.x197**2 + m.x198**2 - 2*m.x182*m.x198 - 2*m.x181*m.x197 - 0.887203867225*m.b44 - 0.887203867225*m.b146 >= -0.887203867225) m.c980 = Constraint(expr=m.x181**2 + m.x182**2 + m.x199**2 + m.x200**2 - 2*m.x181*m.x199 - 2*m.x182*m.x200 - 2.118573403024*m.b44 - 2.118573403024*m.b151 >= -2.118573403024) m.c981 = Constraint(expr=m.x181**2 + m.x182**2 + m.x201**2 + m.x202**2 - 2*m.x182*m.x202 - 2*m.x181*m.x201 - 2.118573403024*m.b44 - 2.118573403024*m.b156 >= -2.118573403024) m.c982 = Constraint(expr=m.x181**2 + m.x182**2 + m.x203**2 + m.x204**2 - 2*m.x182*m.x204 - 2*m.x181*m.x203 - 2.118573403024*m.b44 - 2.118573403024*m.b161 >= -2.118573403024) m.c983 = Constraint(expr=m.x181**2 + m.x182**2 + m.x205**2 + m.x206**2 - 2*m.x182*m.x206 - 2*m.x181*m.x205 - 2.118573403024*m.b44 - 2.118573403024*m.b166 >= -2.118573403024) m.c984 = Constraint(expr=m.x177**2 + m.x178**2 + m.x183**2 + m.x184**2 - 2*m.x177*m.x183 - 2*m.x178*m.x184 - 1.436939228176*m.b26 - 1.436939228176*m.b53 >= -1.436939228176) m.c985 = Constraint(expr=m.x179**2 + m.x180**2 + m.x183**2 + m.x184**2 - 2*m.x179*m.x183 - 2*m.x180*m.x184 - 1.436939228176*m.b35 - 1.436939228176*m.b53 >= -1.436939228176) m.c986 = Constraint(expr=m.x181**2 + m.x182**2 + m.x183**2 + m.x184**2 - 2*m.x181*m.x183 - 2*m.x182*m.x184 - 1.436939228176*m.b44 - 1.436939228176*m.b53 >= -1.436939228176) m.c987 = Constraint(expr=m.x183**2 + m.x184**2 + m.x185**2 + m.x186**2 - 2*m.x183*m.x185 - 2*m.x184*m.x186 - 1.436939228176*m.b53 - 1.436939228176*m.b62 >= -1.436939228176) m.c988 = Constraint(expr=m.x183**2 + m.x184**2 + m.x187**2 + m.x188**2 - 2*m.x184*m.x188 - 2*m.x183*m.x187 - 1.436939228176*m.b53 - 1.436939228176*m.b71 >= -1.436939228176) m.c989 = Constraint(expr=m.x183**2 + m.x184**2 + m.x189**2 + m.x190**2 - 2*m.x183*m.x189 - 2*m.x184*m.x190 - 0.887203867225*m.b53 - 0.887203867225*m.b86 >= -0.887203867225) m.c990 = Constraint(expr=m.x183**2 + m.x184**2 + m.x191**2 + m.x192**2 - 2*m.x184*m.x192 - 2*m.x183*m.x191 - 0.887203867225*m.b53 - 0.887203867225*m.b101 >= -0.887203867225) m.c991 = Constraint(expr=m.x183**2 + m.x184**2 + m.x193**2 + m.x194**2 - 2*m.x184*m.x194 - 2*m.x183*m.x193 - 0.887203867225*m.b53 - 0.887203867225*m.b116 >= -0.887203867225) m.c992 = Constraint(expr=m.x183**2 + m.x184**2 + m.x195**2 + m.x196**2 - 2*m.x183*m.x195 - 2*m.x184*m.x196 - 0.887203867225*m.b53 - 0.887203867225*m.b131 >= -0.887203867225) m.c993 = Constraint(expr=m.x183**2 + m.x184**2 + m.x197**2 + m.x198**2 - 2*m.x183*m.x197 - 2*m.x184*m.x198 - 0.887203867225*m.b53 - 0.887203867225*m.b146 >= -0.887203867225) m.c994 = Constraint(expr=m.x183**2 + m.x184**2 + m.x199**2 + m.x200**2 - 2*m.x184*m.x200 - 2*m.x183*m.x199 - 2.118573403024*m.b53 - 2.118573403024*m.b151 >= -2.118573403024) m.c995 = Constraint(expr=m.x183**2 + m.x184**2 + m.x201**2 + m.x202**2 - 2*m.x184*m.x202 - 2*m.x183*m.x201 - 2.118573403024*m.b53 - 2.118573403024*m.b156 >= -2.118573403024) m.c996 = Constraint(expr=m.x183**2 + m.x184**2 + m.x203**2 + m.x204**2 - 2*m.x183*m.x203 - 2*m.x184*m.x204 - 2.118573403024*m.b53 - 2.118573403024*m.b161 >= -2.118573403024) m.c997 = Constraint(expr=m.x183**2 + m.x184**2 + m.x205**2 + m.x206**2 - 2*m.x184*m.x206 - 2*m.x183*m.x205 - 2.118573403024*m.b53 - 2.118573403024*m.b166 >= -2.118573403024) m.c998 = Constraint(expr=m.x177**2 + m.x178**2 + m.x185**2 + m.x186**2 - 2*m.x177*m.x185 - 2*m.x178*m.x186 - 1.436939228176*m.b26 - 1.436939228176*m.b62 >= -1.436939228176) m.c999 = Constraint(expr=m.x179**2 + m.x180**2 + m.x185**2 + m.x186**2 - 2*m.x179*m.x185 - 2*m.x180*m.x186 - 1.436939228176*m.b35 - 1.436939228176*m.b62 >= -1.436939228176) m.c1000 = Constraint(expr=m.x181**2 + m.x182**2 + m.x185**2 + m.x186**2 - 2*m.x181*m.x185 - 2*m.x182*m.x186 - 1.436939228176*m.b44 - 1.436939228176*m.b62 >= -1.436939228176) m.c1001 = Constraint(expr=m.x183**2 + m.x184**2 + m.x185**2 + m.x186**2 - 2*m.x183*m.x185 - 2*m.x184*m.x186 - 1.436939228176*m.b53 - 1.436939228176*m.b62 >= -1.436939228176) m.c1002 = Constraint(expr=m.x185**2 + m.x186**2 + m.x187**2 + m.x188**2 - 2*m.x185*m.x187 - 2*m.x186*m.x188 - 1.436939228176*m.b62 - 1.436939228176*m.b71 >= -1.436939228176) m.c1003 = Constraint(expr=m.x185**2 + m.x186**2 + m.x189**2 + m.x190**2 - 2*m.x186*m.x190 - 2*m.x185*m.x189 - 0.887203867225*m.b62 - 0.887203867225*m.b86 >= -0.887203867225) m.c1004 = Constraint(expr=m.x185**2 + m.x186**2 + m.x191**2 + m.x192**2 - 2*m.x186*m.x192 - 2*m.x185*m.x191 - 0.887203867225*m.b62 - 0.887203867225*m.b101 >= -0.887203867225) m.c1005 = Constraint(expr=m.x185**2 + m.x186**2 + m.x193**2 + m.x194**2 - 2*m.x185*m.x193 - 2*m.x186*m.x194 - 0.887203867225*m.b62 - 0.887203867225*m.b116 >= -0.887203867225) m.c1006 = Constraint(expr=m.x185**2 + m.x186**2 + m.x195**2 + m.x196**2 - 2*m.x186*m.x196 - 2*m.x185*m.x195 - 0.887203867225*m.b62 - 0.887203867225*m.b131 >= -0.887203867225) m.c1007 = Constraint(expr=m.x185**2 + m.x186**2 + m.x197**2 + m.x198**2 - 2*m.x186*m.x198 - 2*m.x185*m.x197 - 0.887203867225*m.b62 - 0.887203867225*m.b146 >= -0.887203867225) m.c1008 = Constraint(expr=m.x185**2 + m.x186**2 + m.x199**2 + m.x200**2 - 2*m.x186*m.x200 - 2*m.x185*m.x199 - 2.118573403024*m.b62 - 2.118573403024*m.b151 >= -2.118573403024) m.c1009 = Constraint(expr=m.x185**2 + m.x186**2 + m.x201**2 + m.x202**2 - 2*m.x185*m.x201 - 2*m.x186*m.x202 - 2.118573403024*m.b62 - 2.118573403024*m.b156 >= -2.118573403024) m.c1010 = Constraint(expr=m.x185**2 + m.x186**2 + m.x203**2 + m.x204**2 - 2*m.x186*m.x204 - 2*m.x185*m.x203 - 2.118573403024*m.b62 - 2.118573403024*m.b161 >= -2.118573403024) m.c1011 = Constraint(expr=m.x185**2 + m.x186**2 + m.x205**2 + m.x206**2 - 2*m.x185*m.x205 - 2*m.x186*m.x206 - 2.118573403024*m.b62 - 2.118573403024*m.b166 >= -2.118573403024) m.c1012 = Constraint(expr=m.x177**2 + m.x178**2 + m.x187**2 + m.x188**2 - 2*m.x178*m.x188 - 2*m.x177*m.x187 - 1.436939228176*m.b26 - 1.436939228176*m.b71 >= -1.436939228176) m.c1013 = Constraint(expr=m.x179**2 + m.x180**2 + m.x187**2 + m.x188**2 - 2*m.x179*m.x187 - 2*m.x180*m.x188 - 1.436939228176*m.b35 - 1.436939228176*m.b71 >= -1.436939228176) m.c1014 = Constraint(expr=m.x181**2 + m.x182**2 + m.x187**2 + m.x188**2 - 2*m.x182*m.x188 - 2*m.x181*m.x187 - 1.436939228176*m.b44 - 1.436939228176*m.b71 >= -1.436939228176) m.c1015 = Constraint(expr=m.x183**2 + m.x184**2 + m.x187**2 + m.x188**2 - 2*m.x184*m.x188 - 2*m.x183*m.x187 - 1.436939228176*m.b53 - 1.436939228176*m.b71 >= -1.436939228176) m.c1016 = Constraint(expr=m.x185**2 + m.x186**2 + m.x187**2 + m.x188**2 - 2*m.x185*m.x187 - 2*m.x186*m.x188 - 1.436939228176*m.b62 - 1.436939228176*m.b71 >= -1.436939228176) m.c1017 = Constraint(expr=m.x187**2 + m.x188**2 + m.x189**2 + m.x190**2 - 2*m.x187*m.x189 - 2*m.x188*m.x190 - 0.887203867225*m.b71 - 0.887203867225*m.b86 >= -0.887203867225) m.c1018 = Constraint(expr=m.x187**2 + m.x188**2 + m.x191**2 + m.x192**2 - 2*m.x187*m.x191 - 2*m.x188*m.x192 - 0.887203867225*m.b71 - 0.887203867225*m.b101 >= -0.887203867225) m.c1019 = Constraint(expr=m.x187**2 + m.x188**2 + m.x193**2 + m.x194**2 - 2*m.x187*m.x193 - 2*m.x188*m.x194 - 0.887203867225*m.b71 - 0.887203867225*m.b116 >= -0.887203867225) m.c1020 = Constraint(expr=m.x187**2 + m.x188**2 + m.x195**2 + m.x196**2 - 2*m.x187*m.x195 - 2*m.x188*m.x196 - 0.887203867225*m.b71 - 0.887203867225*m.b131 >= -0.887203867225) m.c1021 = Constraint(expr=m.x187**2 + m.x188**2 + m.x197**2 + m.x198**2 - 2*m.x187*m.x197 - 2*m.x188*m.x198 - 0.887203867225*m.b71 - 0.887203867225*m.b146 >= -0.887203867225) m.c1022 = Constraint(expr=m.x187**2 + m.x188**2 + m.x199**2 + m.x200**2 - 2*m.x187*m.x199 - 2*m.x188*m.x200 - 2.118573403024*m.b71 - 2.118573403024*m.b151 >= -2.118573403024) m.c1023 = Constraint(expr=m.x187**2 + m.x188**2 + m.x201**2 + m.x202**2 - 2*m.x187*m.x201 - 2*m.x188*m.x202 - 2.118573403024*m.b71 - 2.118573403024*m.b156 >= -2.118573403024) m.c1024 = Constraint(expr=m.x187**2 + m.x188**2 + m.x203**2 + m.x204**2 - 2*m.x187*m.x203 - 2*m.x188*m.x204 - 2.118573403024*m.b71 - 2.118573403024*m.b161 >= -2.118573403024) m.c1025 = Constraint(expr=m.x187**2 + m.x188**2 + m.x205**2 + m.x206**2 - 2*m.x187*m.x205 - 2*m.x188*m.x206 - 2.118573403024*m.b71 - 2.118573403024*m.b166 >= -2.118573403024) m.c1026 = Constraint(expr=m.x177**2 + m.x178**2 + m.x189**2 + m.x190**2 - 2*m.x177*m.x189 - 2*m.x178*m.x190 - 0.887203867225*m.b26 - 0.887203867225*m.b86 >= -0.887203867225) m.c1027 = Constraint(expr=m.x179**2 + m.x180**2 + m.x189**2 + m.x190**2 - 2*m.x180*m.x190 - 2*m.x179*m.x189 - 0.887203867225*m.b35 - 0.887203867225*m.b86 >= -0.887203867225) m.c1028 = Constraint(expr=m.x181**2 + m.x182**2 + m.x189**2 + m.x190**2 - 2*m.x182*m.x190 - 2*m.x181*m.x189 - 0.887203867225*m.b44 - 0.887203867225*m.b86 >= -0.887203867225) m.c1029 = Constraint(expr=m.x183**2 + m.x184**2 + m.x189**2 + m.x190**2 - 2*m.x183*m.x189 - 2*m.x184*m.x190 - 0.887203867225*m.b53 - 0.887203867225*m.b86 >= -0.887203867225) m.c1030 = Constraint(expr=m.x185**2 + m.x186**2 + m.x189**2 + m.x190**2 - 2*m.x186*m.x190 - 2*m.x185*m.x189 - 0.887203867225*m.b62 - 0.887203867225*m.b86 >= -0.887203867225) m.c1031 = Constraint(expr=m.x187**2 + m.x188**2 + m.x189**2 + m.x190**2 - 2*m.x187*m.x189 - 2*m.x188*m.x190 - 0.887203867225*m.b71 - 0.887203867225*m.b86 >= -0.887203867225) m.c1032 = Constraint(expr=m.x189**2 + m.x190**2 + m.x191**2 + m.x192**2 - 2*m.x189*m.x191 - 2*m.x190*m.x192 - 0.469370231236*m.b86 - 0.469370231236*m.b101 >= -0.469370231236) m.c1033 = Constraint(expr=m.x189**2 + m.x190**2 + m.x193**2 + m.x194**2 - 2*m.x189*m.x193 - 2*m.x190*m.x194 - 0.469370231236*m.b86 - 0.469370231236*m.b116 >= -0.469370231236) m.c1034 = Constraint(expr=m.x189**2 + m.x190**2 + m.x195**2 + m.x196**2 - 2*m.x189*m.x195 - 2*m.x190*m.x196 - 0.469370231236*m.b86 - 0.469370231236*m.b131 >= -0.469370231236) m.c1035 = Constraint(expr=m.x189**2 + m.x190**2 + m.x197**2 + m.x198**2 - 2*m.x189*m.x197 - 2*m.x190*m.x198 - 0.469370231236*m.b86 - 0.469370231236*m.b146 >= -0.469370231236) m.c1036 = Constraint(expr=m.x189**2 + m.x190**2 + m.x199**2 + m.x200**2 - 2*m.x189*m.x199 - 2*m.x190*m.x200 - 1.436936830729*m.b86 - 1.436936830729*m.b151 >= -1.436936830729) m.c1037 = Constraint(expr=m.x189**2 + m.x190**2 + m.x201**2 + m.x202**2 - 2*m.x189*m.x201 - 2*m.x190*m.x202 - 1.436936830729*m.b86 - 1.436936830729*m.b156 >= -1.436936830729) m.c1038 = Constraint(expr=m.x189**2 + m.x190**2 + m.x203**2 + m.x204**2 - 2*m.x189*m.x203 - 2*m.x190*m.x204 - 1.436936830729*m.b86 - 1.436936830729*m.b161 >= -1.436936830729) m.c1039 = Constraint(expr=m.x189**2 + m.x190**2 + m.x205**2 + m.x206**2 - 2*m.x189*m.x205 - 2*m.x190*m.x206 - 1.436936830729*m.b86 - 1.436936830729*m.b166 >= -1.436936830729) m.c1040 = Constraint(expr=m.x177**2 + m.x178**2 + m.x191**2 + m.x192**2 - 2*m.x178*m.x192 - 2*m.x177*m.x191 - 0.887203867225*m.b26 - 0.887203867225*m.b101 >= -0.887203867225) m.c1041 = Constraint(expr=m.x179**2 + m.x180**2 + m.x191**2 + m.x192**2 - 2*m.x180*m.x192 - 2*m.x179*m.x191 - 0.887203867225*m.b35 - 0.887203867225*m.b101 >= -0.887203867225) m.c1042 = Constraint(expr=m.x181**2 + m.x182**2 + m.x191**2 + m.x192**2 - 2*m.x181*m.x191 - 2*m.x182*m.x192 - 0.887203867225*m.b44 - 0.887203867225*m.b101 >= -0.887203867225) m.c1043 = Constraint(expr=m.x183**2 + m.x184**2 + m.x191**2 + m.x192**2 - 2*m.x184*m.x192 - 2*m.x183*m.x191 - 0.887203867225*m.b53 - 0.887203867225*m.b101 >= -0.887203867225) m.c1044 = Constraint(expr=m.x185**2 + m.x186**2 + m.x191**2 + m.x192**2 - 2*m.x186*m.x192 - 2*m.x185*m.x191 - 0.887203867225*m.b62 - 0.887203867225*m.b101 >= -0.887203867225) m.c1045 = Constraint(expr=m.x187**2 + m.x188**2 + m.x191**2 + m.x192**2 - 2*m.x187*m.x191 - 2*m.x188*m.x192 - 0.887203867225*m.b71 - 0.887203867225*m.b101 >= -0.887203867225) m.c1046 = Constraint(expr=m.x189**2 + m.x190**2 + m.x191**2 + m.x192**2 - 2*m.x189*m.x191 - 2*m.x190*m.x192 - 0.469370231236*m.b86 - 0.469370231236*m.b101 >= -0.469370231236) m.c1047 = Constraint(expr=m.x191**2 + m.x192**2 + m.x193**2 + m.x194**2 - 2*m.x191*m.x193 - 2*m.x192*m.x194 - 0.469370231236*m.b101 - 0.469370231236*m.b116 >= -0.469370231236) m.c1048 = Constraint(expr=m.x191**2 + m.x192**2 + m.x195**2 + m.x196**2 - 2*m.x191*m.x195 - 2*m.x192*m.x196 - 0.469370231236*m.b101 - 0.469370231236*m.b131 >= -0.469370231236) m.c1049 = Constraint(expr=m.x191**2 + m.x192**2 + m.x197**2 + m.x198**2 - 2*m.x191*m.x197 - 2*m.x192*m.x198 - 0.469370231236*m.b101 - 0.469370231236*m.b146 >= -0.469370231236) m.c1050 = Constraint(expr=m.x191**2 + m.x192**2 + m.x199**2 + m.x200**2 - 2*m.x191*m.x199 - 2*m.x192*m.x200 - 1.436936830729*m.b101 - 1.436936830729*m.b151 >= -1.436936830729) m.c1051 = Constraint(expr=m.x191**2 + m.x192**2 + m.x201**2 + m.x202**2 - 2*m.x191*m.x201 - 2*m.x192*m.x202 - 1.436936830729*m.b101 - 1.436936830729*m.b156 >= -1.436936830729) m.c1052 = Constraint(expr=m.x191**2 + m.x192**2 + m.x203**2 + m.x204**2 - 2*m.x191*m.x203 - 2*m.x192*m.x204 - 1.436936830729*m.b101 - 1.436936830729*m.b161 >= -1.436936830729) m.c1053 = Constraint(expr=m.x191**2 + m.x192**2 + m.x205**2 + m.x206**2 - 2*m.x191*m.x205 - 2*m.x192*m.x206 - 1.436936830729*m.b101 - 1.436936830729*m.b166 >= -1.436936830729) m.c1054 = Constraint(expr=m.x177**2 + m.x178**2 + m.x193**2 + m.x194**2 - 2*m.x178*m.x194 - 2*m.x177*m.x193 - 0.887203867225*m.b26 - 0.887203867225*m.b116 >= -0.887203867225) m.c1055 = Constraint(expr=m.x179**2 + m.x180**2 + m.x193**2 + m.x194**2 - 2*m.x179*m.x193 - 2*m.x180*m.x194 - 0.887203867225*m.b35 - 0.887203867225*m.b116 >= -0.887203867225) m.c1056 = Constraint(expr=m.x181**2 + m.x182**2 + m.x193**2 + m.x194**2 - 2*m.x182*m.x194 - 2*m.x181*m.x193 - 0.887203867225*m.b44 - 0.887203867225*m.b116 >= -0.887203867225) m.c1057 = Constraint(expr=m.x183**2 + m.x184**2 + m.x193**2 + m.x194**2 - 2*m.x184*m.x194 - 2*m.x183*m.x193 - 0.887203867225*m.b53 - 0.887203867225*m.b116 >= -0.887203867225) m.c1058 = Constraint(expr=m.x185**2 + m.x186**2 + m.x193**2 + m.x194**2 - 2*m.x185*m.x193 - 2*m.x186*m.x194 - 0.887203867225*m.b62 - 0.887203867225*m.b116 >= -0.887203867225) m.c1059 = Constraint(expr=m.x187**2 + m.x188**2 + m.x193**2 + m.x194**2 - 2*m.x187*m.x193 - 2*m.x188*m.x194 - 0.887203867225*m.b71 - 0.887203867225*m.b116 >= -0.887203867225) m.c1060 = Constraint(expr=m.x189**2 + m.x190**2 + m.x193**2 + m.x194**2 - 2*m.x189*m.x193 - 2*m.x190*m.x194 - 0.469370231236*m.b86 - 0.469370231236*m.b116 >= -0.469370231236) m.c1061 = Constraint(expr=m.x191**2 + m.x192**2 + m.x193**2 + m.x194**2 - 2*m.x191*m.x193 - 2*m.x192*m.x194 - 0.469370231236*m.b101 - 0.469370231236*m.b116 >= -0.469370231236) m.c1062 = Constraint(expr=m.x193**2 + m.x194**2 + m.x195**2 + m.x196**2 - 2*m.x193*m.x195 - 2*m.x194*m.x196 - 0.469370231236*m.b116 - 0.469370231236*m.b131 >= -0.469370231236) m.c1063 = Constraint(expr=m.x193**2 + m.x194**2 + m.x197**2 + m.x198**2 - 2*m.x193*m.x197 - 2*m.x194*m.x198 - 0.469370231236*m.b116 - 0.469370231236*m.b146 >= -0.469370231236) m.c1064 = Constraint(expr=m.x193**2 + m.x194**2 + m.x199**2 + m.x200**2 - 2*m.x193*m.x199 - 2*m.x194*m.x200 - 1.436936830729*m.b116 - 1.436936830729*m.b151 >= -1.436936830729) m.c1065 = Constraint(expr=m.x193**2 + m.x194**2 + m.x201**2 + m.x202**2 - 2*m.x193*m.x201 - 2*m.x194*m.x202 - 1.436936830729*m.b116 - 1.436936830729*m.b156 >= -1.436936830729) m.c1066 = Constraint(expr=m.x193**2 + m.x194**2 + m.x203**2 + m.x204**2 - 2*m.x193*m.x203 - 2*m.x194*m.x204 - 1.436936830729*m.b116 - 1.436936830729*m.b161 >= -1.436936830729) m.c1067 = Constraint(expr=m.x193**2 + m.x194**2 + m.x205**2 + m.x206**2 - 2*m.x193*m.x205 - 2*m.x194*m.x206 - 1.436936830729*m.b116 - 1.436936830729*m.b166 >= -1.436936830729) m.c1068 = Constraint(expr=m.x177**2 + m.x178**2 + m.x195**2 + m.x196**2 - 2*m.x177*m.x195 - 2*m.x178*m.x196 - 0.887203867225*m.b26 - 0.887203867225*m.b131 >= -0.887203867225) m.c1069 = Constraint(expr=m.x179**2 + m.x180**2 + m.x195**2 + m.x196**2 - 2*m.x180*m.x196 - 2*m.x179*m.x195 - 0.887203867225*m.b35 - 0.887203867225*m.b131 >= -0.887203867225) m.c1070 = Constraint(expr=m.x181**2 + m.x182**2 + m.x195**2 + m.x196**2 - 2*m.x182*m.x196 - 2*m.x181*m.x195 - 0.887203867225*m.b44 - 0.887203867225*m.b131 >= -0.887203867225) m.c1071 = Constraint(expr=m.x183**2 + m.x184**2 + m.x195**2 + m.x196**2 - 2*m.x183*m.x195 - 2*m.x184*m.x196 - 0.887203867225*m.b53 - 0.887203867225*m.b131 >= -0.887203867225) m.c1072 = Constraint(expr=m.x185**2 + m.x186**2 + m.x195**2 + m.x196**2 - 2*m.x186*m.x196 - 2*m.x185*m.x195 - 0.887203867225*m.b62 - 0.887203867225*m.b131 >= -0.887203867225) m.c1073 = Constraint(expr=m.x187**2 + m.x188**2 + m.x195**2 + m.x196**2 - 2*m.x187*m.x195 - 2*m.x188*m.x196 - 0.887203867225*m.b71 - 0.887203867225*m.b131 >= -0.887203867225) m.c1074 = Constraint(expr=m.x189**2 + m.x190**2 + m.x195**2 + m.x196**2 - 2*m.x189*m.x195 - 2*m.x190*m.x196 - 0.469370231236*m.b86 - 0.469370231236*m.b131 >= -0.469370231236) m.c1075 = Constraint(expr=m.x191**2 + m.x192**2 + m.x195**2 + m.x196**2 - 2*m.x191*m.x195 - 2*m.x192*m.x196 - 0.469370231236*m.b101 - 0.469370231236*m.b131 >= -0.469370231236) m.c1076 = Constraint(expr=m.x193**2 + m.x194**2 + m.x195**2 + m.x196**2 - 2*m.x193*m.x195 - 2*m.x194*m.x196 - 0.469370231236*m.b116 - 0.469370231236*m.b131 >= -0.469370231236) m.c1077 = Constraint(expr=m.x195**2 + m.x196**2 + m.x197**2 + m.x198**2 - 2*m.x195*m.x197 - 2*m.x196*m.x198 - 0.469370231236*m.b131 - 0.469370231236*m.b146 >= -0.469370231236) m.c1078 = Constraint(expr=m.x195**2 + m.x196**2 + m.x199**2 + m.x200**2 - 2*m.x195*m.x199 - 2*m.x196*m.x200 - 1.436936830729*m.b131 - 1.436936830729*m.b151 >= -1.436936830729) m.c1079 = Constraint(expr=m.x195**2 + m.x196**2 + m.x201**2 + m.x202**2 - 2*m.x195*m.x201 - 2*m.x196*m.x202 - 1.436936830729*m.b131 - 1.436936830729*m.b156 >= -1.436936830729) m.c1080 = Constraint(expr=m.x195**2 + m.x196**2 + m.x203**2 + m.x204**2 - 2*m.x195*m.x203 - 2*m.x196*m.x204 - 1.436936830729*m.b131 - 1.436936830729*m.b161 >= -1.436936830729) m.c1081 = Constraint(expr=m.x195**2 + m.x196**2 + m.x205**2 + m.x206**2 - 2*m.x195*m.x205 - 2*m.x196*m.x206 - 1.436936830729*m.b131 - 1.436936830729*m.b166 >= -1.436936830729) m.c1082 = Constraint(expr=m.x177**2 + m.x178**2 + m.x197**2 + m.x198**2 - 2*m.x177*m.x197 - 2*m.x178*m.x198 - 0.887203867225*m.b26 - 0.887203867225*m.b146 >= -0.887203867225) m.c1083 = Constraint(expr=m.x179**2 + m.x180**2 + m.x197**2 + m.x198**2 - 2*m.x180*m.x198 - 2*m.x179*m.x197 - 0.887203867225*m.b35 - 0.887203867225*m.b146 >= -0.887203867225) m.c1084 = Constraint(expr=m.x181**2 + m.x182**2 + m.x197**2 + m.x198**2 - 2*m.x182*m.x198 - 2*m.x181*m.x197 - 0.887203867225*m.b44 - 0.887203867225*m.b146 >= -0.887203867225) m.c1085 = Constraint(expr=m.x183**2 + m.x184**2 + m.x197**2 + m.x198**2 - 2*m.x183*m.x197 - 2*m.x184*m.x198 - 0.887203867225*m.b53 - 0.887203867225*m.b146 >= -0.887203867225) m.c1086 = Constraint(expr=m.x185**2 + m.x186**2 + m.x197**2 + m.x198**2 - 2*m.x186*m.x198 - 2*m.x185*m.x197 - 0.887203867225*m.b62 - 0.887203867225*m.b146 >= -0.887203867225) m.c1087 = Constraint(expr=m.x187**2 + m.x188**2 + m.x197**2 + m.x198**2 - 2*m.x187*m.x197 - 2*m.x188*m.x198 - 0.887203867225*m.b71 - 0.887203867225*m.b146 >= -0.887203867225) m.c1088 = Constraint(expr=m.x189**2 + m.x190**2 + m.x197**2 + m.x198**2 - 2*m.x189*m.x197 - 2*m.x190*m.x198 - 0.469370231236*m.b86 - 0.469370231236*m.b146 >= -0.469370231236) m.c1089 = Constraint(expr=m.x191**2 + m.x192**2 + m.x197**2 + m.x198**2 - 2*m.x191*m.x197 - 2*m.x192*m.x198 - 0.469370231236*m.b101 - 0.469370231236*m.b146 >= -0.469370231236) m.c1090 = Constraint(expr=m.x193**2 + m.x194**2 + m.x197**2 + m.x198**2 - 2*m.x193*m.x197 - 2*m.x194*m.x198 - 0.469370231236*m.b116 - 0.469370231236*m.b146 >= -0.469370231236) m.c1091 = Constraint(expr=m.x195**2 + m.x196**2 + m.x197**2 + m.x198**2 - 2*m.x195*m.x197 - 2*m.x196*m.x198 - 0.469370231236*m.b131 - 0.469370231236*m.b146 >= -0.469370231236) m.c1092 = Constraint(expr=m.x197**2 + m.x198**2 + m.x199**2 + m.x200**2 - 2*m.x197*m.x199 - 2*m.x198*m.x200 - 1.436936830729*m.b146 - 1.436936830729*m.b151 >= -1.436936830729) m.c1093 = Constraint(expr=m.x197**2 + m.x198**2 + m.x201**2 + m.x202**2 - 2*m.x197*m.x201 - 2*m.x198*m.x202 - 1.436936830729*m.b146 - 1.436936830729*m.b156 >= -1.436936830729) m.c1094 = Constraint(expr=m.x197**2 + m.x198**2 + m.x203**2 + m.x204**2 - 2*m.x197*m.x203 - 2*m.x198*m.x204 - 1.436936830729*m.b146 - 1.436936830729*m.b161 >= -1.436936830729) m.c1095 = Constraint(expr=m.x197**2 + m.x198**2 + m.x205**2 + m.x206**2 - 2*m.x197*m.x205 - 2*m.x198*m.x206 - 1.436936830729*m.b146 - 1.436936830729*m.b166 >= -1.436936830729) m.c1096 = Constraint(expr=m.x177**2 + m.x178**2 + m.x199**2 + m.x200**2 - 2*m.x178*m.x200 - 2*m.x177*m.x199 - 2.118573403024*m.b26 - 2.118573403024*m.b151 >= -2.118573403024) m.c1097 = Constraint(expr=m.x179**2 + m.x180**2 + m.x199**2 + m.x200**2 - 2*m.x180*m.x200 - 2*m.x179*m.x199 - 2.118573403024*m.b35 - 2.118573403024*m.b151 >= -2.118573403024) m.c1098 = Constraint(expr=m.x181**2 + m.x182**2 + m.x199**2 + m.x200**2 - 2*m.x181*m.x199 - 2*m.x182*m.x200 - 2.118573403024*m.b44 - 2.118573403024*m.b151 >= -2.118573403024) m.c1099 = Constraint(expr=m.x183**2 + m.x184**2 + m.x199**2 + m.x200**2 - 2*m.x184*m.x200 - 2*m.x183*m.x199 - 2.118573403024*m.b53 - 2.118573403024*m.b151 >= -2.118573403024) m.c1100 = Constraint(expr=m.x185**2 + m.x186**2 + m.x199**2 + m.x200**2 - 2*m.x186*m.x200 - 2*m.x185*m.x199 - 2.118573403024*m.b62 - 2.118573403024*m.b151 >= -2.118573403024) m.c1101 = Constraint(expr=m.x187**2 + m.x188**2 + m.x199**2 + m.x200**2 - 2*m.x187*m.x199 - 2*m.x188*m.x200 - 2.118573403024*m.b71 - 2.118573403024*m.b151 >= -2.118573403024) m.c1102 = Constraint(expr=m.x189**2 + m.x190**2 + m.x199**2 + m.x200**2 - 2*m.x189*m.x199 - 2*m.x190*m.x200 - 1.436936830729*m.b86 - 1.436936830729*m.b151 >= -1.436936830729) m.c1103 = Constraint(expr=m.x191**2 + m.x192**2 + m.x199**2 + m.x200**2 - 2*m.x191*m.x199 - 2*m.x192*m.x200 - 1.436936830729*m.b101 - 1.436936830729*m.b151 >= -1.436936830729) m.c1104 = Constraint(expr=m.x193**2 + m.x194**2 + m.x199**2 + m.x200**2 - 2*m.x193*m.x199 - 2*m.x194*m.x200 - 1.436936830729*m.b116 - 1.436936830729*m.b151 >= -1.436936830729) m.c1105 = Constraint(expr=m.x195**2 + m.x196**2 + m.x199**2 + m.x200**2 - 2*m.x195*m.x199 - 2*m.x196*m.x200 - 1.436936830729*m.b131 - 1.436936830729*m.b151 >= -1.436936830729) m.c1106 = Constraint(expr=m.x197**2 + m.x198**2 + m.x199**2 + m.x200**2 - 2*m.x197*m.x199 - 2*m.x198*m.x200 - 1.436936830729*m.b146 - 1.436936830729*m.b151 >= -1.436936830729) m.c1107 = Constraint(expr=m.x199**2 + m.x200**2 + m.x201**2 + m.x202**2 - 2*m.x199*m.x201 - 2*m.x200*m.x202 - 2.9321082756*m.b151 - 2.9321082756*m.b156 >= -2.9321082756) m.c1108 = Constraint(expr=m.x199**2 + m.x200**2 + m.x203**2 + m.x204**2 - 2*m.x199*m.x203 - 2*m.x200*m.x204 - 2.9321082756*m.b151 - 2.9321082756*m.b161 >= -2.9321082756) m.c1109 = Constraint(expr=m.x199**2 + m.x200**2 + m.x205**2 + m.x206**2 - 2*m.x199*m.x205 - 2*m.x200*m.x206 - 2.9321082756*m.b151 - 2.9321082756*m.b166 >= -2.9321082756) m.c1110 = Constraint(expr=m.x177**2 + m.x178**2 + m.x201**2 + m.x202**2 - 2*m.x178*m.x202 - 2*m.x177*m.x201 - 2.118573403024*m.b26 - 2.118573403024*m.b156 >= -2.118573403024) m.c1111 = Constraint(expr=m.x179**2 + m.x180**2 + m.x201**2 + m.x202**2 - 2*m.x179*m.x201 - 2*m.x180*m.x202 - 2.118573403024*m.b35 - 2.118573403024*m.b156 >= -2.118573403024) m.c1112 = Constraint(expr=m.x181**2 + m.x182**2 + m.x201**2 + m.x202**2 - 2*m.x182*m.x202 - 2*m.x181*m.x201 - 2.118573403024*m.b44 - 2.118573403024*m.b156 >= -2.118573403024) m.c1113 = Constraint(expr=m.x183**2 + m.x184**2 + m.x201**2 + m.x202**2 - 2*m.x184*m.x202 - 2*m.x183*m.x201 - 2.118573403024*m.b53 - 2.118573403024*m.b156 >= -2.118573403024) m.c1114 = Constraint(expr=m.x185**2 + m.x186**2 + m.x201**2 + m.x202**2 - 2*m.x185*m.x201 - 2*m.x186*m.x202 - 2.118573403024*m.b62 - 2.118573403024*m.b156 >= -2.118573403024) m.c1115 = Constraint(expr=m.x187**2 + m.x188**2 + m.x201**2 + m.x202**2 - 2*m.x187*m.x201 - 2*m.x188*m.x202 - 2.118573403024*m.b71 - 2.118573403024*m.b156 >= -2.118573403024) m.c1116 = Constraint(expr=m.x189**2 + m.x190**2 + m.x201**2 + m.x202**2 - 2*m.x189*m.x201 - 2*m.x190*m.x202 - 1.436936830729*m.b86 - 1.436936830729*m.b156 >= -1.436936830729) m.c1117 = Constraint(expr=m.x191**2 + m.x192**2 + m.x201**2 + m.x202**2 - 2*m.x191*m.x201 - 2*m.x192*m.x202 - 1.436936830729*m.b101 - 1.436936830729*m.b156 >= -1.436936830729) m.c1118 = Constraint(expr=m.x193**2 + m.x194**2 + m.x201**2 + m.x202**2 - 2*m.x193*m.x201 - 2*m.x194*m.x202 - 1.436936830729*m.b116 - 1.436936830729*m.b156 >= -1.436936830729) m.c1119 = Constraint(expr=m.x195**2 + m.x196**2 + m.x201**2 + m.x202**2 - 2*m.x195*m.x201 - 2*m.x196*m.x202 - 1.436936830729*m.b131 - 1.436936830729*m.b156 >= -1.436936830729) m.c1120 = Constraint(expr=m.x197**2 + m.x198**2 + m.x201**2 + m.x202**2 - 2*m.x197*m.x201 - 2*m.x198*m.x202 - 1.436936830729*m.b146 - 1.436936830729*m.b156 >= -1.436936830729) m.c1121 = Constraint(expr=m.x199**2 + m.x200**2 + m.x201**2 + m.x202**2 - 2*m.x199*m.x201 - 2*m.x200*m.x202 - 2.9321082756*m.b151 - 2.9321082756*m.b156 >= -2.9321082756) m.c1122 = Constraint(expr=m.x201**2 + m.x202**2 + m.x203**2 + m.x204**2 - 2*m.x201*m.x203 - 2*m.x202*m.x204 - 2.9321082756*m.b156 - 2.9321082756*m.b161 >= -2.9321082756) m.c1123 = Constraint(expr=m.x201**2 + m.x202**2 + m.x205**2 + m.x206**2 - 2*m.x201*m.x205 - 2*m.x202*m.x206 - 2.9321082756*m.b156 - 2.9321082756*m.b166 >= -2.9321082756) m.c1124 = Constraint(expr=m.x177**2 + m.x178**2 + m.x203**2 + m.x204**2 - 2*m.x177*m.x203 - 2*m.x178*m.x204 - 2.118573403024*m.b26 - 2.118573403024*m.b161 >= -2.118573403024) m.c1125 = Constraint(expr=m.x179**2 + m.x180**2 + m.x203**2 + m.x204**2 - 2*m.x180*m.x204 - 2*m.x179*m.x203 - 2.118573403024*m.b35 - 2.118573403024*m.b161 >= -2.118573403024) m.c1126 = Constraint(expr=m.x181**2 + m.x182**2 + m.x203**2 + m.x204**2 - 2*m.x182*m.x204 - 2*m.x181*m.x203 - 2.118573403024*m.b44 - 2.118573403024*m.b161 >= -2.118573403024) m.c1127 = Constraint(expr=m.x183**2 + m.x184**2 + m.x203**2 + m.x204**2 - 2*m.x184*m.x204 - 2*m.x183*m.x203 - 2.118573403024*m.b53 - 2.118573403024*m.b161 >= -2.118573403024) m.c1128 = Constraint(expr=m.x185**2 + m.x186**2 + m.x203**2 + m.x204**2 - 2*m.x186*m.x204 - 2*m.x185*m.x203 - 2.118573403024*m.b62 - 2.118573403024*m.b161 >= -2.118573403024) m.c1129 = Constraint(expr=m.x187**2 + m.x188**2 + m.x203**2 + m.x204**2 - 2*m.x187*m.x203 - 2*m.x188*m.x204 - 2.118573403024*m.b71 - 2.118573403024*m.b161 >= -2.118573403024) m.c1130 = Constraint(expr=m.x189**2 + m.x190**2 + m.x203**2 + m.x204**2 - 2*m.x189*m.x203 - 2*m.x190*m.x204 - 1.436936830729*m.b86 - 1.436936830729*m.b161 >= -1.436936830729) m.c1131 = Constraint(expr=m.x191**2 + m.x192**2 + m.x203**2 + m.x204**2 - 2*m.x191*m.x203 - 2*m.x192*m.x204 - 1.436936830729*m.b101 - 1.436936830729*m.b161 >= -1.436936830729) m.c1132 = Constraint(expr=m.x193**2 + m.x194**2 + m.x203**2 + m.x204**2 - 2*m.x193*m.x203 - 2*m.x194*m.x204 - 1.436936830729*m.b116 - 1.436936830729*m.b161 >= -1.436936830729) m.c1133 = Constraint(expr=m.x195**2 + m.x196**2 + m.x203**2 + m.x204**2 - 2*m.x195*m.x203 - 2*m.x196*m.x204 - 1.436936830729*m.b131 - 1.436936830729*m.b161 >= -1.436936830729) m.c1134 = Constraint(expr=m.x197**2 + m.x198**2 + m.x203**2 + m.x204**2 - 2*m.x197*m.x203 - 2*m.x198*m.x204 - 1.436936830729*m.b146 - 1.436936830729*m.b161 >= -1.436936830729) m.c1135 = Constraint(expr=m.x199**2 + m.x200**2 + m.x203**2 + m.x204**2 - 2*m.x199*m.x203 - 2*m.x200*m.x204 - 2.9321082756*m.b151 - 2.9321082756*m.b161 >= -2.9321082756) m.c1136 = Constraint(expr=m.x201**2 + m.x202**2 + m.x203**2 + m.x204**2 - 2*m.x201*m.x203 - 2*m.x202*m.x204 - 2.9321082756*m.b156 - 2.9321082756*m.b161 >= -2.9321082756) m.c1137 = Constraint(expr=m.x203**2 + m.x204**2 + m.x205**2 + m.x206**2 - 2*m.x203*m.x205 - 2*m.x204*m.x206 - 2.9321082756*m.b161 - 2.9321082756*m.b166 >= -2.9321082756) m.c1138 = Constraint(expr=m.x177**2 + m.x178**2 + m.x205**2 + m.x206**2 - 2*m.x178*m.x206 - 2*m.x177*m.x205 - 2.118573403024*m.b26 - 2.118573403024*m.b166 >= -2.118573403024) m.c1139 = Constraint(expr=m.x179**2 + m.x180**2 + m.x205**2 + m.x206**2 - 2*m.x180*m.x206 - 2*m.x179*m.x205 - 2.118573403024*m.b35 - 2.118573403024*m.b166 >= -2.118573403024) m.c1140 = Constraint(expr=m.x181**2 + m.x182**2 + m.x205**2 + m.x206**2 - 2*m.x182*m.x206 - 2*m.x181*m.x205 - 2.118573403024*m.b44 - 2.118573403024*m.b166 >= -2.118573403024) m.c1141 = Constraint(expr=m.x183**2 + m.x184**2 + m.x205**2 + m.x206**2 - 2*m.x184*m.x206 - 2*m.x183*m.x205 - 2.118573403024*m.b53 - 2.118573403024*m.b166 >= -2.118573403024) m.c1142 = Constraint(expr=m.x185**2 + m.x186**2 + m.x205**2 + m.x206**2 - 2*m.x186*m.x206 - 2*m.x185*m.x205 - 2.118573403024*m.b62 - 2.118573403024*m.b166 >= -2.118573403024) m.c1143 = Constraint(expr=m.x187**2 + m.x188**2 + m.x205**2 + m.x206**2 - 2*m.x187*m.x205 - 2*m.x188*m.x206 - 2.118573403024*m.b71 - 2.118573403024*m.b166 >= -2.118573403024) m.c1144 = Constraint(expr=m.x189**2 + m.x190**2 + m.x205**2 + m.x206**2 - 2*m.x189*m.x205 - 2*m.x190*m.x206 - 1.436936830729*m.b86 - 1.436936830729*m.b166 >= -1.436936830729) m.c1145 = Constraint(expr=m.x191**2 + m.x192**2 + m.x205**2 + m.x206**2 - 2*m.x191*m.x205 - 2*m.x192*m.x206 - 1.436936830729*m.b101 - 1.436936830729*m.b166 >= -1.436936830729) m.c1146 = Constraint(expr=m.x193**2 + m.x194**2 + m.x205**2 + m.x206**2 - 2*m.x193*m.x205 - 2*m.x194*m.x206 - 1.436936830729*m.b116 - 1.436936830729*m.b166 >= -1.436936830729) m.c1147 = Constraint(expr=m.x195**2 + m.x196**2 + m.x205**2 + m.x206**2 - 2*m.x195*m.x205 - 2*m.x196*m.x206 - 1.436936830729*m.b131 - 1.436936830729*m.b166 >= -1.436936830729) m.c1148 = Constraint(expr=m.x197**2 + m.x198**2 + m.x205**2 + m.x206**2 - 2*m.x197*m.x205 - 2*m.x198*m.x206 - 1.436936830729*m.b146 - 1.436936830729*m.b166 >= -1.436936830729) m.c1149 = Constraint(expr=m.x199**2 + m.x200**2 + m.x205**2 + m.x206**2 - 2*m.x199*m.x205 - 2*m.x200*m.x206 - 2.9321082756*m.b151 - 2.9321082756*m.b166 >= -2.9321082756) m.c1150 = Constraint(expr=m.x201**2 + m.x202**2 + m.x205**2 + m.x206**2 - 2*m.x201*m.x205 - 2*m.x202*m.x206 - 2.9321082756*m.b156 - 2.9321082756*m.b166 >= -2.9321082756) m.c1151 = Constraint(expr=m.x203**2 + m.x204**2 + m.x205**2 + m.x206**2 - 2*m.x203*m.x205 - 2*m.x204*m.x206 - 2.9321082756*m.b161 - 2.9321082756*m.b166 >= -2.9321082756) m.c1152 = Constraint(expr=m.x177**2 + m.x178**2 + m.x179**2 + m.x180**2 - 2*m.x177*m.x179 - 2*m.x178*m.x180 - 1.436939228176*m.b27 - 1.436939228176*m.b36 >= -1.436939228176) m.c1153 = Constraint(expr=m.x177**2 + m.x178**2 + m.x181**2 + m.x182**2 - 2*m.x177*m.x181 - 2*m.x178*m.x182 - 1.436939228176*m.b27 - 1.436939228176*m.b45 >= -1.436939228176) m.c1154 = Constraint(expr=m.x177**2 + m.x178**2 + m.x183**2 + m.x184**2 - 2*m.x177*m.x183 - 2*m.x178*m.x184 - 1.436939228176*m.b27 - 1.436939228176*m.b54 >= -1.436939228176) m.c1155 = Constraint(expr=m.x177**2 + m.x178**2 + m.x185**2 + m.x186**2 - 2*m.x177*m.x185 - 2*m.x178*m.x186 - 1.436939228176*m.b27 - 1.436939228176*m.b63 >= -1.436939228176) m.c1156 = Constraint(expr=m.x177**2 + m.x178**2 + m.x187**2 + m.x188**2 - 2*m.x178*m.x188 - 2*m.x177*m.x187 - 1.436939228176*m.b27 - 1.436939228176*m.b72 >= -1.436939228176) m.c1157 = Constraint(expr=m.x177**2 + m.x178**2 + m.x189**2 + m.x190**2 - 2*m.x177*m.x189 - 2*m.x178*m.x190 - 0.887203867225*m.b27 - 0.887203867225*m.b87 >= -0.887203867225) m.c1158 = Constraint(expr=m.x177**2 + m.x178**2 + m.x191**2 + m.x192**2 - 2*m.x178*m.x192 - 2*m.x177*m.x191 - 0.887203867225*m.b27 - 0.887203867225*m.b102 >= -0.887203867225) m.c1159 = Constraint(expr=m.x177**2 + m.x178**2 + m.x193**2 + m.x194**2 - 2*m.x178*m.x194 - 2*m.x177*m.x193 - 0.887203867225*m.b27 - 0.887203867225*m.b117 >= -0.887203867225) m.c1160 = Constraint(expr=m.x177**2 + m.x178**2 + m.x195**2 + m.x196**2 - 2*m.x177*m.x195 - 2*m.x178*m.x196 - 0.887203867225*m.b27 - 0.887203867225*m.b132 >= -0.887203867225) m.c1161 = Constraint(expr=m.x177**2 + m.x178**2 + m.x197**2 + m.x198**2 - 2*m.x177*m.x197 - 2*m.x178*m.x198 - 0.887203867225*m.b27 - 0.887203867225*m.b147 >= -0.887203867225) m.c1162 = Constraint(expr=m.x177**2 + m.x178**2 + m.x199**2 + m.x200**2 - 2*m.x177*m.x199 - 2*m.x178*m.x200 - 2.118573403024*m.b27 - 2.118573403024*m.b152 >= -2.118573403024) m.c1163 = Constraint(expr=m.x177**2 + m.x178**2 + m.x201**2 + m.x202**2 - 2*m.x178*m.x202 - 2*m.x177*m.x201 - 2.118573403024*m.b27 - 2.118573403024*m.b157 >= -2.118573403024) m.c1164 = Constraint(expr=m.x177**2 + m.x178**2 + m.x203**2 + m.x204**2 - 2*m.x177*m.x203 - 2*m.x178*m.x204 - 2.118573403024*m.b27 - 2.118573403024*m.b162 >= -2.118573403024) m.c1165 = Constraint(expr=m.x177**2 + m.x178**2 + m.x205**2 + m.x206**2 - 2*m.x178*m.x206 - 2*m.x177*m.x205 - 2.118573403024*m.b27 - 2.118573403024*m.b167 >= -2.118573403024) m.c1166 = Constraint(expr=m.x177**2 + m.x178**2 + m.x179**2 + m.x180**2 - 2*m.x177*m.x179 - 2*m.x178*m.x180 - 1.436939228176*m.b27 - 1.436939228176*m.b36 >= -1.436939228176) m.c1167 = Constraint(expr=m.x179**2 + m.x180**2 + m.x181**2 + m.x182**2 - 2*m.x179*m.x181 - 2*m.x180*m.x182 - 1.436939228176*m.b36 - 1.436939228176*m.b45 >= -1.436939228176) m.c1168 = Constraint(expr=m.x179**2 + m.x180**2 + m.x183**2 + m.x184**2 - 2*m.x179*m.x183 - 2*m.x180*m.x184 - 1.436939228176*m.b36 - 1.436939228176*m.b54 >= -1.436939228176) m.c1169 = Constraint(expr=m.x179**2 + m.x180**2 + m.x185**2 + m.x186**2 - 2*m.x179*m.x185 - 2*m.x180*m.x186 - 1.436939228176*m.b36 - 1.436939228176*m.b63 >= -1.436939228176) m.c1170 = Constraint(expr=m.x179**2 + m.x180**2 + m.x187**2 + m.x188**2 - 2*m.x179*m.x187 - 2*m.x180*m.x188 - 1.436939228176*m.b36 - 1.436939228176*m.b72 >= -1.436939228176) m.c1171 = Constraint(expr=m.x179**2 + m.x180**2 + m.x189**2 + m.x190**2 - 2*m.x180*m.x190 - 2*m.x179*m.x189 - 0.887203867225*m.b36 - 0.887203867225*m.b87 >= -0.887203867225) m.c1172 = Constraint(expr=m.x179**2 + m.x180**2 + m.x191**2 + m.x192**2 - 2*m.x180*m.x192 - 2*m.x179*m.x191 - 0.887203867225*m.b36 - 0.887203867225*m.b102 >= -0.887203867225) m.c1173 = Constraint(expr=m.x179**2 + m.x180**2 + m.x193**2 + m.x194**2 - 2*m.x179*m.x193 - 2*m.x180*m.x194 - 0.887203867225*m.b36 - 0.887203867225*m.b117 >= -0.887203867225) m.c1174 = Constraint(expr=m.x179**2 + m.x180**2 + m.x195**2 + m.x196**2 - 2*m.x180*m.x196 - 2*m.x179*m.x195 - 0.887203867225*m.b36 - 0.887203867225*m.b132 >= -0.887203867225) m.c1175 = Constraint(expr=m.x179**2 + m.x180**2 + m.x197**2 + m.x198**2 - 2*m.x180*m.x198 - 2*m.x179*m.x197 - 0.887203867225*m.b36 - 0.887203867225*m.b147 >= -0.887203867225) m.c1176 = Constraint(expr=m.x179**2 + m.x180**2 + m.x199**2 + m.x200**2 - 2*m.x180*m.x200 - 2*m.x179*m.x199 - 2.118573403024*m.b36 - 2.118573403024*m.b152 >= -2.118573403024) m.c1177 = Constraint(expr=m.x179**2 + m.x180**2 + m.x201**2 + m.x202**2 - 2*m.x179*m.x201 - 2*m.x180*m.x202 - 2.118573403024*m.b36 - 2.118573403024*m.b157 >= -2.118573403024) m.c1178 = Constraint(expr=m.x179**2 + m.x180**2 + m.x203**2 + m.x204**2 - 2*m.x180*m.x204 - 2*m.x179*m.x203 - 2.118573403024*m.b36 - 2.118573403024*m.b162 >= -2.118573403024) m.c1179 = Constraint(expr=m.x179**2 + m.x180**2 + m.x205**2 + m.x206**2 - 2*m.x179*m.x205 - 2*m.x180*m.x206 - 2.118573403024*m.b36 - 2.118573403024*m.b167 >= -2.118573403024) m.c1180 = Constraint(expr=m.x177**2 + m.x178**2 + m.x181**2 + m.x182**2 - 2*m.x177*m.x181 - 2*m.x178*m.x182 - 1.436939228176*m.b27 - 1.436939228176*m.b45 >= -1.436939228176) m.c1181 = Constraint(expr=m.x179**2 + m.x180**2 + m.x181**2 + m.x182**2 - 2*m.x179*m.x181 - 2*m.x180*m.x182 - 1.436939228176*m.b36 - 1.436939228176*m.b45 >= -1.436939228176) m.c1182 = Constraint(expr=m.x181**2 + m.x182**2 + m.x183**2 + m.x184**2 - 2*m.x181*m.x183 - 2*m.x182*m.x184 - 1.436939228176*m.b45 - 1.436939228176*m.b54 >= -1.436939228176) m.c1183 = Constraint(expr=m.x181**2 + m.x182**2 + m.x185**2 + m.x186**2 - 2*m.x181*m.x185 - 2*m.x182*m.x186 - 1.436939228176*m.b45 - 1.436939228176*m.b63 >= -1.436939228176) m.c1184 = Constraint(expr=m.x181**2 + m.x182**2 + m.x187**2 + m.x188**2 - 2*m.x182*m.x188 - 2*m.x181*m.x187 - 1.436939228176*m.b45 - 1.436939228176*m.b72 >= -1.436939228176) m.c1185 = Constraint(expr=m.x181**2 + m.x182**2 + m.x189**2 + m.x190**2 - 2*m.x182*m.x190 - 2*m.x181*m.x189 - 0.887203867225*m.b45 - 0.887203867225*m.b87 >= -0.887203867225) m.c1186 = Constraint(expr=m.x181**2 + m.x182**2 + m.x191**2 + m.x192**2 - 2*m.x181*m.x191 - 2*m.x182*m.x192 - 0.887203867225*m.b45 - 0.887203867225*m.b102 >= -0.887203867225) m.c1187 = Constraint(expr=m.x181**2 + m.x182**2 + m.x193**2 + m.x194**2 - 2*m.x182*m.x194 - 2*m.x181*m.x193 - 0.887203867225*m.b45 - 0.887203867225*m.b117 >= -0.887203867225) m.c1188 = Constraint(expr=m.x181**2 + m.x182**2 + m.x195**2 + m.x196**2 - 2*m.x182*m.x196 - 2*m.x181*m.x195 - 0.887203867225*m.b45 - 0.887203867225*m.b132 >= -0.887203867225) m.c1189 = Constraint(expr=m.x181**2 + m.x182**2 + m.x197**2 + m.x198**2 - 2*m.x182*m.x198 - 2*m.x181*m.x197 - 0.887203867225*m.b45 - 0.887203867225*m.b147 >= -0.887203867225) m.c1190 = Constraint(expr=m.x181**2 + m.x182**2 + m.x199**2 + m.x200**2 - 2*m.x181*m.x199 - 2*m.x182*m.x200 - 2.118573403024*m.b45 - 2.118573403024*m.b152 >= -2.118573403024) m.c1191 = Constraint(expr=m.x181**2 + m.x182**2 + m.x201**2 + m.x202**2 - 2*m.x182*m.x202 - 2*m.x181*m.x201 - 2.118573403024*m.b45 - 2.118573403024*m.b157 >= -2.118573403024) m.c1192 = Constraint(expr=m.x181**2 + m.x182**2 + m.x203**2 + m.x204**2 - 2*m.x182*m.x204 - 2*m.x181*m.x203 - 2.118573403024*m.b45 - 2.118573403024*m.b162 >= -2.118573403024) m.c1193 = Constraint(expr=m.x181**2 + m.x182**2 + m.x205**2 + m.x206**2 - 2*m.x182*m.x206 - 2*m.x181*m.x205 - 2.118573403024*m.b45 - 2.118573403024*m.b167 >= -2.118573403024) m.c1194 = Constraint(expr=m.x177**2 + m.x178**2 + m.x183**2 + m.x184**2 - 2*m.x177*m.x183 - 2*m.x178*m.x184 - 1.436939228176*m.b27 - 1.436939228176*m.b54 >= -1.436939228176) m.c1195 = Constraint(expr=m.x179**2 + m.x180**2 + m.x183**2 + m.x184**2 - 2*m.x179*m.x183 - 2*m.x180*m.x184 - 1.436939228176*m.b36 - 1.436939228176*m.b54 >= -1.436939228176) m.c1196 = Constraint(expr=m.x181**2 + m.x182**2 + m.x183**2 + m.x184**2 - 2*m.x181*m.x183 - 2*m.x182*m.x184 - 1.436939228176*m.b45 - 1.436939228176*m.b54 >= -1.436939228176) m.c1197 = Constraint(expr=m.x183**2 + m.x184**2 + m.x185**2 + m.x186**2 - 2*m.x183*m.x185 - 2*m.x184*m.x186 - 1.436939228176*m.b54 - 1.436939228176*m.b63 >= -1.436939228176) m.c1198 = Constraint(expr=m.x183**2 + m.x184**2 + m.x187**2 + m.x188**2 - 2*m.x184*m.x188 - 2*m.x183*m.x187 - 1.436939228176*m.b54 - 1.436939228176*m.b72 >= -1.436939228176) m.c1199 = Constraint(expr=m.x183**2 + m.x184**2 + m.x189**2 + m.x190**2 - 2*m.x183*m.x189 - 2*m.x184*m.x190 - 0.887203867225*m.b54 - 0.887203867225*m.b87 >= -0.887203867225) m.c1200 = Constraint(expr=m.x183**2 + m.x184**2 + m.x191**2 + m.x192**2 - 2*m.x184*m.x192 - 2*m.x183*m.x191 - 0.887203867225*m.b54 - 0.887203867225*m.b102 >= -0.887203867225) m.c1201 = Constraint(expr=m.x183**2 + m.x184**2 + m.x193**2 + m.x194**2 - 2*m.x184*m.x194 - 2*m.x183*m.x193 - 0.887203867225*m.b54 - 0.887203867225*m.b117 >= -0.887203867225) m.c1202 = Constraint(expr=m.x183**2 + m.x184**2 + m.x195**2 + m.x196**2 - 2*m.x183*m.x195 - 2*m.x184*m.x196 - 0.887203867225*m.b54 - 0.887203867225*m.b132 >= -0.887203867225) m.c1203 = Constraint(expr=m.x183**2 + m.x184**2 + m.x197**2 + m.x198**2 - 2*m.x183*m.x197 - 2*m.x184*m.x198 - 0.887203867225*m.b54 - 0.887203867225*m.b147 >= -0.887203867225) m.c1204 = Constraint(expr=m.x183**2 + m.x184**2 + m.x199**2 + m.x200**2 - 2*m.x184*m.x200 - 2*m.x183*m.x199 - 2.118573403024*m.b54 - 2.118573403024*m.b152 >= -2.118573403024) m.c1205 = Constraint(expr=m.x183**2 + m.x184**2 + m.x201**2 + m.x202**2 - 2*m.x184*m.x202 - 2*m.x183*m.x201 - 2.118573403024*m.b54 - 2.118573403024*m.b157 >= -2.118573403024) m.c1206 = Constraint(expr=m.x183**2 + m.x184**2 + m.x203**2 + m.x204**2 - 2*m.x183*m.x203 - 2*m.x184*m.x204 - 2.118573403024*m.b54 - 2.118573403024*m.b162 >= -2.118573403024) m.c1207 = Constraint(expr=m.x183**2 + m.x184**2 + m.x205**2 + m.x206**2 - 2*m.x184*m.x206 - 2*m.x183*m.x205 - 2.118573403024*m.b54 - 2.118573403024*m.b167 >= -2.118573403024) m.c1208 = Constraint(expr=m.x177**2 + m.x178**2 + m.x185**2 + m.x186**2 - 2*m.x177*m.x185 - 2*m.x178*m.x186 - 1.436939228176*m.b27 - 1.436939228176*m.b63 >= -1.436939228176) m.c1209 = Constraint(expr=m.x179**2 + m.x180**2 + m.x185**2 + m.x186**2 - 2*m.x179*m.x185 - 2*m.x180*m.x186 - 1.436939228176*m.b36 - 1.436939228176*m.b63 >= -1.436939228176) m.c1210 = Constraint(expr=m.x181**2 + m.x182**2 + m.x185**2 + m.x186**2 - 2*m.x181*m.x185 - 2*m.x182*m.x186 - 1.436939228176*m.b45 - 1.436939228176*m.b63 >= -1.436939228176) m.c1211 = Constraint(expr=m.x183**2 + m.x184**2 + m.x185**2 + m.x186**2 - 2*m.x183*m.x185 - 2*m.x184*m.x186 - 1.436939228176*m.b54 - 1.436939228176*m.b63 >= -1.436939228176) m.c1212 = Constraint(expr=m.x185**2 + m.x186**2 + m.x187**2 + m.x188**2 - 2*m.x185*m.x187 - 2*m.x186*m.x188 - 1.436939228176*m.b63 - 1.436939228176*m.b72 >= -1.436939228176) m.c1213 = Constraint(expr=m.x185**2 + m.x186**2 + m.x189**2 + m.x190**2 - 2*m.x186*m.x190 - 2*m.x185*m.x189 - 0.887203867225*m.b63 - 0.887203867225*m.b87 >= -0.887203867225) m.c1214 = Constraint(expr=m.x185**2 + m.x186**2 + m.x191**2 + m.x192**2 - 2*m.x186*m.x192 - 2*m.x185*m.x191 - 0.887203867225*m.b63 - 0.887203867225*m.b102 >= -0.887203867225) m.c1215 = Constraint(expr=m.x185**2 + m.x186**2 + m.x193**2 + m.x194**2 - 2*m.x185*m.x193 - 2*m.x186*m.x194 - 0.887203867225*m.b63 - 0.887203867225*m.b117 >= -0.887203867225) m.c1216 = Constraint(expr=m.x185**2 + m.x186**2 + m.x195**2 + m.x196**2 - 2*m.x185*m.x195 - 2*m.x186*m.x196 - 0.887203867225*m.b63 - 0.887203867225*m.b132 >= -0.887203867225) m.c1217 = Constraint(expr=m.x185**2 + m.x186**2 + m.x197**2 + m.x198**2 - 2*m.x185*m.x197 - 2*m.x186*m.x198 - 0.887203867225*m.b63 - 0.887203867225*m.b147 >= -0.887203867225) m.c1218 = Constraint(expr=m.x185**2 + m.x186**2 + m.x199**2 + m.x200**2 - 2*m.x186*m.x200 - 2*m.x185*m.x199 - 2.118573403024*m.b63 - 2.118573403024*m.b152 >= -2.118573403024) m.c1219 = Constraint(expr=m.x185**2 + m.x186**2 + m.x201**2 + m.x202**2 - 2*m.x185*m.x201 - 2*m.x186*m.x202 - 2.118573403024*m.b63 - 2.118573403024*m.b157 >= -2.118573403024) m.c1220 = Constraint(expr=m.x185**2 + m.x186**2 + m.x203**2 + m.x204**2 - 2*m.x186*m.x204 - 2*m.x185*m.x203 - 2.118573403024*m.b63 - 2.118573403024*m.b162 >= -2.118573403024) m.c1221 = Constraint(expr=m.x185**2 + m.x186**2 + m.x205**2 + m.x206**2 - 2*m.x186*m.x206 - 2*m.x185*m.x205 - 2.118573403024*m.b63 - 2.118573403024*m.b167 >= -2.118573403024) m.c1222 = Constraint(expr=m.x177**2 + m.x178**2 + m.x187**2 + m.x188**2 - 2*m.x178*m.x188 - 2*m.x177*m.x187 - 1.436939228176*m.b27 - 1.436939228176*m.b72 >= -1.436939228176) m.c1223 = Constraint(expr=m.x179**2 + m.x180**2 + m.x187**2 + m.x188**2 - 2*m.x179*m.x187 - 2*m.x180*m.x188 - 1.436939228176*m.b36 - 1.436939228176*m.b72 >= -1.436939228176) m.c1224 = Constraint(expr=m.x181**2 + m.x182**2 + m.x187**2 + m.x188**2 - 2*m.x182*m.x188 - 2*m.x181*m.x187 - 1.436939228176*m.b45 - 1.436939228176*m.b72 >= -1.436939228176) m.c1225 = Constraint(expr=m.x183**2 + m.x184**2 + m.x187**2 + m.x188**2 - 2*m.x184*m.x188 - 2*m.x183*m.x187 - 1.436939228176*m.b54 - 1.436939228176*m.b72 >= -1.436939228176) m.c1226 = Constraint(expr=m.x185**2 + m.x186**2 + m.x187**2 + m.x188**2 - 2*m.x185*m.x187 - 2*m.x186*m.x188 - 1.436939228176*m.b63 - 1.436939228176*m.b72 >= -1.436939228176) m.c1227 = Constraint(expr=m.x187**2 + m.x188**2 + m.x189**2 + m.x190**2 - 2*m.x187*m.x189 - 2*m.x188*m.x190 - 0.887203867225*m.b72 - 0.887203867225*m.b87 >= -0.887203867225) m.c1228 = Constraint(expr=m.x187**2 + m.x188**2 + m.x191**2 + m.x192**2 - 2*m.x187*m.x191 - 2*m.x188*m.x192 - 0.887203867225*m.b72 - 0.887203867225*m.b102 >= -0.887203867225) m.c1229 = Constraint(expr=m.x187**2 + m.x188**2 + m.x193**2 + m.x194**2 - 2*m.x187*m.x193 - 2*m.x188*m.x194 - 0.887203867225*m.b72 - 0.887203867225*m.b117 >= -0.887203867225) m.c1230 = Constraint(expr=m.x187**2 + m.x188**2 + m.x195**2 + m.x196**2 - 2*m.x187*m.x195 - 2*m.x188*m.x196 - 0.887203867225*m.b72 - 0.887203867225*m.b132 >= -0.887203867225) m.c1231 = Constraint(expr=m.x187**2 + m.x188**2 + m.x197**2 + m.x198**2 - 2*m.x187*m.x197 - 2*m.x188*m.x198 - 0.887203867225*m.b72 - 0.887203867225*m.b147 >= -0.887203867225) m.c1232 = Constraint(expr=m.x187**2 + m.x188**2 + m.x199**2 + m.x200**2 - 2*m.x187*m.x199 - 2*m.x188*m.x200 - 2.118573403024*m.b72 - 2.118573403024*m.b152 >= -2.118573403024) m.c1233 = Constraint(expr=m.x187**2 + m.x188**2 + m.x201**2 + m.x202**2 - 2*m.x187*m.x201 - 2*m.x188*m.x202 - 2.118573403024*m.b72 - 2.118573403024*m.b157 >= -2.118573403024) m.c1234 = Constraint(expr=m.x187**2 + m.x188**2 + m.x203**2 + m.x204**2 - 2*m.x187*m.x203 - 2*m.x188*m.x204 - 2.118573403024*m.b72 - 2.118573403024*m.b162 >= -2.118573403024) m.c1235 = Constraint(expr=m.x187**2 + m.x188**2 + m.x205**2 + m.x206**2 - 2*m.x187*m.x205 - 2*m.x188*m.x206 - 2.118573403024*m.b72 - 2.118573403024*m.b167 >= -2.118573403024) m.c1236 = Constraint(expr=m.x177**2 + m.x178**2 + m.x189**2 + m.x190**2 - 2*m.x177*m.x189 - 2*m.x178*m.x190 - 0.887203867225*m.b27 - 0.887203867225*m.b87 >= -0.887203867225) m.c1237 = Constraint(expr=m.x179**2 + m.x180**2 + m.x189**2 + m.x190**2 - 2*m.x180*m.x190 - 2*m.x179*m.x189 - 0.887203867225*m.b36 - 0.887203867225*m.b87 >= -0.887203867225) m.c1238 = Constraint(expr=m.x181**2 + m.x182**2 + m.x189**2 + m.x190**2 - 2*m.x182*m.x190 - 2*m.x181*m.x189 - 0.887203867225*m.b45 - 0.887203867225*m.b87 >= -0.887203867225) m.c1239 = Constraint(expr=m.x183**2 + m.x184**2 + m.x189**2 + m.x190**2 - 2*m.x183*m.x189 - 2*m.x184*m.x190 - 0.887203867225*m.b54 - 0.887203867225*m.b87 >= -0.887203867225) m.c1240 = Constraint(expr=m.x185**2 + m.x186**2 + m.x189**2 + m.x190**2 - 2*m.x186*m.x190 - 2*m.x185*m.x189 - 0.887203867225*m.b63 - 0.887203867225*m.b87 >= -0.887203867225) m.c1241 = Constraint(expr=m.x187**2 + m.x188**2 + m.x189**2 + m.x190**2 - 2*m.x187*m.x189 - 2*m.x188*m.x190 - 0.887203867225*m.b72 - 0.887203867225*m.b87 >= -0.887203867225) m.c1242 = Constraint(expr=m.x189**2 + m.x190**2 + m.x191**2 + m.x192**2 - 2*m.x189*m.x191 - 2*m.x190*m.x192 - 0.469370231236*m.b87 - 0.469370231236*m.b102 >= -0.469370231236) m.c1243 = Constraint(expr=m.x189**2 + m.x190**2 + m.x193**2 + m.x194**2 - 2*m.x189*m.x193 - 2*m.x190*m.x194 - 0.469370231236*m.b87 - 0.469370231236*m.b117 >= -0.469370231236) m.c1244 = Constraint(expr=m.x189**2 + m.x190**2 + m.x195**2 + m.x196**2 - 2*m.x189*m.x195 - 2*m.x190*m.x196 - 0.469370231236*m.b87 - 0.469370231236*m.b132 >= -0.469370231236) m.c1245 = Constraint(expr=m.x189**2 + m.x190**2 + m.x197**2 + m.x198**2 - 2*m.x189*m.x197 - 2*m.x190*m.x198 - 0.469370231236*m.b87 - 0.469370231236*m.b147 >= -0.469370231236) m.c1246 = Constraint(expr=m.x189**2 + m.x190**2 + m.x199**2 + m.x200**2 - 2*m.x189*m.x199 - 2*m.x190*m.x200 - 1.436936830729*m.b87 - 1.436936830729*m.b152 >= -1.436936830729) m.c1247 = Constraint(expr=m.x189**2 + m.x190**2 + m.x201**2 + m.x202**2 - 2*m.x189*m.x201 - 2*m.x190*m.x202 - 1.436936830729*m.b87 - 1.436936830729*m.b157 >= -1.436936830729) m.c1248 = Constraint(expr=m.x189**2 + m.x190**2 + m.x203**2 + m.x204**2 - 2*m.x189*m.x203 - 2*m.x190*m.x204 - 1.436936830729*m.b87 - 1.436936830729*m.b162 >= -1.436936830729) m.c1249 = Constraint(expr=m.x189**2 + m.x190**2 + m.x205**2 + m.x206**2 - 2*m.x189*m.x205 - 2*m.x190*m.x206 - 1.436936830729*m.b87 - 1.436936830729*m.b167 >= -1.436936830729) m.c1250 = Constraint(expr=m.x177**2 + m.x178**2 + m.x191**2 + m.x192**2 - 2*m.x178*m.x192 - 2*m.x177*m.x191 - 0.887203867225*m.b27 - 0.887203867225*m.b102 >= -0.887203867225) m.c1251 = Constraint(expr=m.x179**2 + m.x180**2 + m.x191**2 + m.x192**2 - 2*m.x180*m.x192 - 2*m.x179*m.x191 - 0.887203867225*m.b36 - 0.887203867225*m.b102 >= -0.887203867225) m.c1252 = Constraint(expr=m.x181**2 + m.x182**2 + m.x191**2 + m.x192**2 - 2*m.x181*m.x191 - 2*m.x182*m.x192 - 0.887203867225*m.b45 - 0.887203867225*m.b102 >= -0.887203867225) m.c1253 = Constraint(expr=m.x183**2 + m.x184**2 + m.x191**2 + m.x192**2 - 2*m.x184*m.x192 - 2*m.x183*m.x191 - 0.887203867225*m.b54 - 0.887203867225*m.b102 >= -0.887203867225) m.c1254 = Constraint(expr=m.x185**2 + m.x186**2 + m.x191**2 + m.x192**2 - 2*m.x186*m.x192 - 2*m.x185*m.x191 - 0.887203867225*m.b63 - 0.887203867225*m.b102 >= -0.887203867225) m.c1255 = Constraint(expr=m.x187**2 + m.x188**2 + m.x191**2 + m.x192**2 - 2*m.x187*m.x191 - 2*m.x188*m.x192 - 0.887203867225*m.b72 - 0.887203867225*m.b102 >= -0.887203867225) m.c1256 = Constraint(expr=m.x189**2 + m.x190**2 + m.x191**2 + m.x192**2 - 2*m.x189*m.x191 - 2*m.x190*m.x192 - 0.469370231236*m.b87 - 0.469370231236*m.b102 >= -0.469370231236) m.c1257 = Constraint(expr=m.x191**2 + m.x192**2 + m.x193**2 + m.x194**2 - 2*m.x191*m.x193 - 2*m.x192*m.x194 - 0.469370231236*m.b102 - 0.469370231236*m.b117 >= -0.469370231236) m.c1258 = Constraint(expr=m.x191**2 + m.x192**2 + m.x195**2 + m.x196**2 - 2*m.x191*m.x195 - 2*m.x192*m.x196 - 0.469370231236*m.b102 - 0.469370231236*m.b132 >= -0.469370231236) m.c1259 = Constraint(expr=m.x191**2 + m.x192**2 + m.x197**2 + m.x198**2 - 2*m.x191*m.x197 - 2*m.x192*m.x198 - 0.469370231236*m.b102 - 0.469370231236*m.b147 >= -0.469370231236) m.c1260 = Constraint(expr=m.x191**2 + m.x192**2 + m.x199**2 + m.x200**2 - 2*m.x191*m.x199 - 2*m.x192*m.x200 - 1.436936830729*m.b102 - 1.436936830729*m.b152 >= -1.436936830729) m.c1261 = Constraint(expr=m.x191**2 + m.x192**2 + m.x201**2 + m.x202**2 - 2*m.x191*m.x201 - 2*m.x192*m.x202 - 1.436936830729*m.b102 - 1.436936830729*m.b157 >= -1.436936830729) m.c1262 = Constraint(expr=m.x191**2 + m.x192**2 + m.x203**2 + m.x204**2 - 2*m.x191*m.x203 - 2*m.x192*m.x204 - 1.436936830729*m.b102 - 1.436936830729*m.b162 >= -1.436936830729) m.c1263 = Constraint(expr=m.x191**2 + m.x192**2 + m.x205**2 + m.x206**2 - 2*m.x191*m.x205 - 2*m.x192*m.x206 - 1.436936830729*m.b102 - 1.436936830729*m.b167 >= -1.436936830729) m.c1264 = Constraint(expr=m.x177**2 + m.x178**2 + m.x193**2 + m.x194**2 - 2*m.x178*m.x194 - 2*m.x177*m.x193 - 0.887203867225*m.b27 - 0.887203867225*m.b117 >= -0.887203867225) m.c1265 = Constraint(expr=m.x179**2 + m.x180**2 + m.x193**2 + m.x194**2 - 2*m.x179*m.x193 - 2*m.x180*m.x194 - 0.887203867225*m.b36 - 0.887203867225*m.b117 >= -0.887203867225) m.c1266 = Constraint(expr=m.x181**2 + m.x182**2 + m.x193**2 + m.x194**2 - 2*m.x182*m.x194 - 2*m.x181*m.x193 - 0.887203867225*m.b45 - 0.887203867225*m.b117 >= -0.887203867225) m.c1267 = Constraint(expr=m.x183**2 + m.x184**2 + m.x193**2 + m.x194**2 - 2*m.x184*m.x194 - 2*m.x183*m.x193 - 0.887203867225*m.b54 - 0.887203867225*m.b117 >= -0.887203867225) m.c1268 = Constraint(expr=m.x185**2 + m.x186**2 + m.x193**2 + m.x194**2 - 2*m.x185*m.x193 - 2*m.x186*m.x194 - 0.887203867225*m.b63 - 0.887203867225*m.b117 >= -0.887203867225) m.c1269 = Constraint(expr=m.x187**2 + m.x188**2 + m.x193**2 + m.x194**2 - 2*m.x187*m.x193 - 2*m.x188*m.x194 - 0.887203867225*m.b72 - 0.887203867225*m.b117 >= -0.887203867225) m.c1270 = Constraint(expr=m.x189**2 + m.x190**2 + m.x193**2 + m.x194**2 - 2*m.x189*m.x193 - 2*m.x190*m.x194 - 0.469370231236*m.b87 - 0.469370231236*m.b117 >= -0.469370231236) m.c1271 = Constraint(expr=m.x191**2 + m.x192**2 + m.x193**2 + m.x194**2 - 2*m.x191*m.x193 - 2*m.x192*m.x194 - 0.469370231236*m.b102 - 0.469370231236*m.b117 >= -0.469370231236) m.c1272 = Constraint(expr=m.x193**2 + m.x194**2 + m.x195**2 + m.x196**2 - 2*m.x193*m.x195 - 2*m.x194*m.x196 - 0.469370231236*m.b117 - 0.469370231236*m.b132 >= -0.469370231236) m.c1273 = Constraint(expr=m.x193**2 + m.x194**2 + m.x197**2 + m.x198**2 - 2*m.x193*m.x197 - 2*m.x194*m.x198 - 0.469370231236*m.b117 - 0.469370231236*m.b147 >= -0.469370231236) m.c1274 = Constraint(expr=m.x193**2 + m.x194**2 + m.x199**2 + m.x200**2 - 2*m.x193*m.x199 - 2*m.x194*m.x200 - 1.436936830729*m.b117 - 1.436936830729*m.b152 >= -1.436936830729) m.c1275 = Constraint(expr=m.x193**2 + m.x194**2 + m.x201**2 + m.x202**2 - 2*m.x193*m.x201 - 2*m.x194*m.x202 - 1.436936830729*m.b117 - 1.436936830729*m.b157 >= -1.436936830729) m.c1276 = Constraint(expr=m.x193**2 + m.x194**2 + m.x203**2 + m.x204**2 - 2*m.x193*m.x203 - 2*m.x194*m.x204 - 1.436936830729*m.b117 - 1.436936830729*m.b162 >= -1.436936830729) m.c1277 = Constraint(expr=m.x193**2 + m.x194**2 + m.x205**2 + m.x206**2 - 2*m.x193*m.x205 - 2*m.x194*m.x206 - 1.436936830729*m.b117 - 1.436936830729*m.b167 >= -1.436936830729) m.c1278 = Constraint(expr=m.x177**2 + m.x178**2 + m.x195**2 + m.x196**2 - 2*m.x177*m.x195 - 2*m.x178*m.x196 - 0.887203867225*m.b27 - 0.887203867225*m.b132 >= -0.887203867225) m.c1279 = Constraint(expr=m.x179**2 + m.x180**2 + m.x195**2 + m.x196**2 - 2*m.x180*m.x196 - 2*m.x179*m.x195 - 0.887203867225*m.b36 - 0.887203867225*m.b132 >= -0.887203867225) m.c1280 = Constraint(expr=m.x181**2 + m.x182**2 + m.x195**2 + m.x196**2 - 2*m.x182*m.x196 - 2*m.x181*m.x195 - 0.887203867225*m.b45 - 0.887203867225*m.b132 >= -0.887203867225) m.c1281 = Constraint(expr=m.x183**2 + m.x184**2 + m.x195**2 + m.x196**2 - 2*m.x183*m.x195 - 2*m.x184*m.x196 - 0.887203867225*m.b54 - 0.887203867225*m.b132 >= -0.887203867225) m.c1282 = Constraint(expr=m.x185**2 + m.x186**2 + m.x195**2 + m.x196**2 - 2*m.x185*m.x195 - 2*m.x186*m.x196 - 0.887203867225*m.b63 - 0.887203867225*m.b132 >= -0.887203867225) m.c1283 = Constraint(expr=m.x187**2 + m.x188**2 + m.x195**2 + m.x196**2 - 2*m.x187*m.x195 - 2*m.x188*m.x196 - 0.887203867225*m.b72 - 0.887203867225*m.b132 >= -0.887203867225) m.c1284 = Constraint(expr=m.x189**2 + m.x190**2 + m.x195**2 + m.x196**2 - 2*m.x189*m.x195 - 2*m.x190*m.x196 - 0.469370231236*m.b87 - 0.469370231236*m.b132 >= -0.469370231236) m.c1285 = Constraint(expr=m.x191**2 + m.x192**2 + m.x195**2 + m.x196**2 - 2*m.x191*m.x195 - 2*m.x192*m.x196 - 0.469370231236*m.b102 - 0.469370231236*m.b132 >= -0.469370231236) m.c1286 = Constraint(expr=m.x193**2 + m.x194**2 + m.x195**2 + m.x196**2 - 2*m.x193*m.x195 - 2*m.x194*m.x196 - 0.469370231236*m.b117 - 0.469370231236*m.b132 >= -0.469370231236) m.c1287 = Constraint(expr=m.x195**2 + m.x196**2 + m.x197**2 + m.x198**2 - 2*m.x195*m.x197 - 2*m.x196*m.x198 - 0.469370231236*m.b132 - 0.469370231236*m.b147 >= -0.469370231236) m.c1288 = Constraint(expr=m.x195**2 + m.x196**2 + m.x199**2 + m.x200**2 - 2*m.x195*m.x199 - 2*m.x196*m.x200 - 1.436936830729*m.b132 - 1.436936830729*m.b152 >= -1.436936830729) m.c1289 = Constraint(expr=m.x195**2 + m.x196**2 + m.x201**2 + m.x202**2 - 2*m.x195*m.x201 - 2*m.x196*m.x202 - 1.436936830729*m.b132 - 1.436936830729*m.b157 >= -1.436936830729) m.c1290 = Constraint(expr=m.x195**2 + m.x196**2 + m.x203**2 + m.x204**2 - 2*m.x195*m.x203 - 2*m.x196*m.x204 - 1.436936830729*m.b132 - 1.436936830729*m.b162 >= -1.436936830729) m.c1291 = Constraint(expr=m.x195**2 + m.x196**2 + m.x205**2 + m.x206**2 - 2*m.x195*m.x205 - 2*m.x196*m.x206 - 1.436936830729*m.b132 - 1.436936830729*m.b167 >= -1.436936830729) m.c1292 = Constraint(expr=m.x177**2 + m.x178**2 + m.x197**2 + m.x198**2 - 2*m.x177*m.x197 - 2*m.x178*m.x198 - 0.887203867225*m.b27 - 0.887203867225*m.b147 >= -0.887203867225) m.c1293 = Constraint(expr=m.x179**2 + m.x180**2 + m.x197**2 + m.x198**2 - 2*m.x180*m.x198 - 2*m.x179*m.x197 - 0.887203867225*m.b36 - 0.887203867225*m.b147 >= -0.887203867225) m.c1294 = Constraint(expr=m.x181**2 + m.x182**2 + m.x197**2 + m.x198**2 - 2*m.x182*m.x198 - 2*m.x181*m.x197 - 0.887203867225*m.b45 - 0.887203867225*m.b147 >= -0.887203867225) m.c1295 = Constraint(expr=m.x183**2 + m.x184**2 + m.x197**2 + m.x198**2 - 2*m.x183*m.x197 - 2*m.x184*m.x198 - 0.887203867225*m.b54 - 0.887203867225*m.b147 >= -0.887203867225) m.c1296 = Constraint(expr=m.x185**2 + m.x186**2 + m.x197**2 + m.x198**2 - 2*m.x186*m.x198 - 2*m.x185*m.x197 - 0.887203867225*m.b63 - 0.887203867225*m.b147 >= -0.887203867225) m.c1297 = Constraint(expr=m.x187**2 + m.x188**2 + m.x197**2 + m.x198**2 - 2*m.x187*m.x197 - 2*m.x188*m.x198 - 0.887203867225*m.b72 - 0.887203867225*m.b147 >= -0.887203867225) m.c1298 = Constraint(expr=m.x189**2 + m.x190**2 + m.x197**2 + m.x198**2 - 2*m.x189*m.x197 - 2*m.x190*m.x198 - 0.469370231236*m.b87 - 0.469370231236*m.b147 >= -0.469370231236) m.c1299 = Constraint(expr=m.x191**2 + m.x192**2 + m.x197**2 + m.x198**2 - 2*m.x191*m.x197 - 2*m.x192*m.x198 - 0.469370231236*m.b102 - 0.469370231236*m.b147 >= -0.469370231236) m.c1300 = Constraint(expr=m.x193**2 + m.x194**2 + m.x197**2 + m.x198**2 - 2*m.x193*m.x197 - 2*m.x194*m.x198 - 0.469370231236*m.b117 - 0.469370231236*m.b147 >= -0.469370231236) m.c1301 = Constraint(expr=m.x195**2 + m.x196**2 + m.x197**2 + m.x198**2 - 2*m.x195*m.x197 - 2*m.x196*m.x198 - 0.469370231236*m.b132 - 0.469370231236*m.b147 >= -0.469370231236) m.c1302 = Constraint(expr=m.x197**2 + m.x198**2 + m.x199**2 + m.x200**2 - 2*m.x197*m.x199 - 2*m.x198*m.x200 - 1.436936830729*m.b147 - 1.436936830729*m.b152 >= -1.436936830729) m.c1303 = Constraint(expr=m.x197**2 + m.x198**2 + m.x201**2 + m.x202**2 - 2*m.x197*m.x201 - 2*m.x198*m.x202 - 1.436936830729*m.b147 - 1.436936830729*m.b157 >= -1.436936830729) m.c1304 = Constraint(expr=m.x197**2 + m.x198**2 + m.x203**2 + m.x204**2 - 2*m.x197*m.x203 - 2*m.x198*m.x204 - 1.436936830729*m.b147 - 1.436936830729*m.b162 >= -1.436936830729) m.c1305 = Constraint(expr=m.x197**2 + m.x198**2 + m.x205**2 + m.x206**2 - 2*m.x197*m.x205 - 2*m.x198*m.x206 - 1.436936830729*m.b147 - 1.436936830729*m.b167 >= -1.436936830729) m.c1306 = Constraint(expr=m.x177**2 + m.x178**2 + m.x199**2 + m.x200**2 - 2*m.x177*m.x199 - 2*m.x178*m.x200 - 2.118573403024*m.b27 - 2.118573403024*m.b152 >= -2.118573403024) m.c1307 = Constraint(expr=m.x179**2 + m.x180**2 + m.x199**2 + m.x200**2 - 2*m.x180*m.x200 - 2*m.x179*m.x199 - 2.118573403024*m.b36 - 2.118573403024*m.b152 >= -2.118573403024) m.c1308 = Constraint(expr=m.x181**2 + m.x182**2 + m.x199**2 + m.x200**2 - 2*m.x181*m.x199 - 2*m.x182*m.x200 - 2.118573403024*m.b45 - 2.118573403024*m.b152 >= -2.118573403024) m.c1309 = Constraint(expr=m.x183**2 + m.x184**2 + m.x199**2 + m.x200**2 - 2*m.x184*m.x200 - 2*m.x183*m.x199 - 2.118573403024*m.b54 - 2.118573403024*m.b152 >= -2.118573403024) m.c1310 = Constraint(expr=m.x185**2 + m.x186**2 + m.x199**2 + m.x200**2 - 2*m.x186*m.x200 - 2*m.x185*m.x199 - 2.118573403024*m.b63 - 2.118573403024*m.b152 >= -2.118573403024) m.c1311 = Constraint(expr=m.x187**2 + m.x188**2 + m.x199**2 + m.x200**2 - 2*m.x187*m.x199 - 2*m.x188*m.x200 - 2.118573403024*m.b72 - 2.118573403024*m.b152 >= -2.118573403024) m.c1312 = Constraint(expr=m.x189**2 + m.x190**2 + m.x199**2 + m.x200**2 - 2*m.x189*m.x199 - 2*m.x190*m.x200 - 1.436936830729*m.b87 - 1.436936830729*m.b152 >= -1.436936830729) m.c1313 = Constraint(expr=m.x191**2 + m.x192**2 + m.x199**2 + m.x200**2 - 2*m.x191*m.x199 - 2*m.x192*m.x200 - 1.436936830729*m.b102 - 1.436936830729*m.b152 >= -1.436936830729) m.c1314 = Constraint(expr=m.x193**2 + m.x194**2 + m.x199**2 + m.x200**2 - 2*m.x193*m.x199 - 2*m.x194*m.x200 - 1.436936830729*m.b117 - 1.436936830729*m.b152 >= -1.436936830729) m.c1315 = Constraint(expr=m.x195**2 + m.x196**2 + m.x199**2 + m.x200**2 - 2*m.x195*m.x199 - 2*m.x196*m.x200 - 1.436936830729*m.b132 - 1.436936830729*m.b152 >= -1.436936830729) m.c1316 = Constraint(expr=m.x197**2 + m.x198**2 + m.x199**2 + m.x200**2 - 2*m.x197*m.x199 - 2*m.x198*m.x200 - 1.436936830729*m.b147 - 1.436936830729*m.b152 >= -1.436936830729) m.c1317 = Constraint(expr=m.x199**2 + m.x200**2 + m.x201**2 + m.x202**2 - 2*m.x199*m.x201 - 2*m.x200*m.x202 - 2.9321082756*m.b152 - 2.9321082756*m.b157 >= -2.9321082756) m.c1318 = Constraint(expr=m.x199**2 + m.x200**2 + m.x203**2 + m.x204**2 - 2*m.x199*m.x203 - 2*m.x200*m.x204 - 2.9321082756*m.b152 - 2.9321082756*m.b162 >= -2.9321082756) m.c1319 = Constraint(expr=m.x199**2 + m.x200**2 + m.x205**2 + m.x206**2 - 2*m.x199*m.x205 - 2*m.x200*m.x206 - 2.9321082756*m.b152 - 2.9321082756*m.b167 >= -2.9321082756) m.c1320 = Constraint(expr=m.x177**2 + m.x178**2 + m.x201**2 + m.x202**2 - 2*m.x178*m.x202 - 2*m.x177*m.x201 - 2.118573403024*m.b27 - 2.118573403024*m.b157 >= -2.118573403024) m.c1321 = Constraint(expr=m.x179**2 + m.x180**2 + m.x201**2 + m.x202**2 - 2*m.x179*m.x201 - 2*m.x180*m.x202 - 2.118573403024*m.b36 - 2.118573403024*m.b157 >= -2.118573403024) m.c1322 = Constraint(expr=m.x181**2 + m.x182**2 + m.x201**2 + m.x202**2 - 2*m.x182*m.x202 - 2*m.x181*m.x201 - 2.118573403024*m.b45 - 2.118573403024*m.b157 >= -2.118573403024) m.c1323 = Constraint(expr=m.x183**2 + m.x184**2 + m.x201**2 + m.x202**2 - 2*m.x184*m.x202 - 2*m.x183*m.x201 - 2.118573403024*m.b54 - 2.118573403024*m.b157 >= -2.118573403024) m.c1324 = Constraint(expr=m.x185**2 + m.x186**2 + m.x201**2 + m.x202**2 - 2*m.x185*m.x201 - 2*m.x186*m.x202 - 2.118573403024*m.b63 - 2.118573403024*m.b157 >= -2.118573403024) m.c1325 = Constraint(expr=m.x187**2 + m.x188**2 + m.x201**2 + m.x202**2 - 2*m.x187*m.x201 - 2*m.x188*m.x202 - 2.118573403024*m.b72 - 2.118573403024*m.b157 >= -2.118573403024) m.c1326 = Constraint(expr=m.x189**2 + m.x190**2 + m.x201**2 + m.x202**2 - 2*m.x189*m.x201 - 2*m.x190*m.x202 - 1.436936830729*m.b87 - 1.436936830729*m.b157 >= -1.436936830729) m.c1327 = Constraint(expr=m.x191**2 + m.x192**2 + m.x201**2 + m.x202**2 - 2*m.x191*m.x201 - 2*m.x192*m.x202 - 1.436936830729*m.b102 - 1.436936830729*m.b157 >= -1.436936830729) m.c1328 = Constraint(expr=m.x193**2 + m.x194**2 + m.x201**2 + m.x202**2 - 2*m.x193*m.x201 - 2*m.x194*m.x202 - 1.436936830729*m.b117 - 1.436936830729*m.b157 >= -1.436936830729) m.c1329 = Constraint(expr=m.x195**2 + m.x196**2 + m.x201**2 + m.x202**2 - 2*m.x195*m.x201 - 2*m.x196*m.x202 - 1.436936830729*m.b132 - 1.436936830729*m.b157 >= -1.436936830729) m.c1330 = Constraint(expr=m.x197**2 + m.x198**2 + m.x201**2 + m.x202**2 - 2*m.x197*m.x201 - 2*m.x198*m.x202 - 1.436936830729*m.b147 - 1.436936830729*m.b157 >= -1.436936830729) m.c1331 = Constraint(expr=m.x199**2 + m.x200**2 + m.x201**2 + m.x202**2 - 2*m.x199*m.x201 - 2*m.x200*m.x202 - 2.9321082756*m.b152 - 2.9321082756*m.b157 >= -2.9321082756) m.c1332 = Constraint(expr=m.x201**2 + m.x202**2 + m.x203**2 + m.x204**2 - 2*m.x201*m.x203 - 2*m.x202*m.x204 - 2.9321082756*m.b157 - 2.9321082756*m.b162 >= -2.9321082756) m.c1333 = Constraint(expr=m.x201**2 + m.x202**2 + m.x205**2 + m.x206**2 - 2*m.x201*m.x205 - 2*m.x202*m.x206 - 2.9321082756*m.b157 - 2.9321082756*m.b167 >= -2.9321082756) m.c1334 = Constraint(expr=m.x177**2 + m.x178**2 + m.x203**2 + m.x204**2 - 2*m.x177*m.x203 - 2*m.x178*m.x204 - 2.118573403024*m.b27 - 2.118573403024*m.b162 >= -2.118573403024) m.c1335 = Constraint(expr=m.x179**2 + m.x180**2 + m.x203**2 + m.x204**2 - 2*m.x180*m.x204 - 2*m.x179*m.x203 - 2.118573403024*m.b36 - 2.118573403024*m.b162 >= -2.118573403024) m.c1336 = Constraint(expr=m.x181**2 + m.x182**2 + m.x203**2 + m.x204**2 - 2*m.x182*m.x204 - 2*m.x181*m.x203 - 2.118573403024*m.b45 - 2.118573403024*m.b162 >= -2.118573403024) m.c1337 = Constraint(expr=m.x183**2 + m.x184**2 + m.x203**2 + m.x204**2 - 2*m.x183*m.x203 - 2*m.x184*m.x204 - 2.118573403024*m.b54 - 2.118573403024*m.b162 >= -2.118573403024) m.c1338 = Constraint(expr=m.x185**2 + m.x186**2 + m.x203**2 + m.x204**2 - 2*m.x186*m.x204 - 2*m.x185*m.x203 - 2.118573403024*m.b63 - 2.118573403024*m.b162 >= -2.118573403024) m.c1339 = Constraint(expr=m.x187**2 + m.x188**2 + m.x203**2 + m.x204**2 - 2*m.x187*m.x203 - 2*m.x188*m.x204 - 2.118573403024*m.b72 - 2.118573403024*m.b162 >= -2.118573403024) m.c1340 = Constraint(expr=m.x189**2 + m.x190**2 + m.x203**2 + m.x204**2 - 2*m.x189*m.x203 - 2*m.x190*m.x204 - 1.436936830729*m.b87 - 1.436936830729*m.b162 >= -1.436936830729) m.c1341 = Constraint(expr=m.x191**2 + m.x192**2 + m.x203**2 + m.x204**2 - 2*m.x191*m.x203 - 2*m.x192*m.x204 - 1.436936830729*m.b102 - 1.436936830729*m.b162 >= -1.436936830729) m.c1342 = Constraint(expr=m.x193**2 + m.x194**2 + m.x203**2 + m.x204**2 - 2*m.x193*m.x203 - 2*m.x194*m.x204 - 1.436936830729*m.b117 - 1.436936830729*m.b162 >= -1.436936830729) m.c1343 = Constraint(expr=m.x195**2 + m.x196**2 + m.x203**2 + m.x204**2 - 2*m.x195*m.x203 - 2*m.x196*m.x204 - 1.436936830729*m.b132 - 1.436936830729*m.b162 >= -1.436936830729) m.c1344 = Constraint(expr=m.x197**2 + m.x198**2 + m.x203**2 + m.x204**2 - 2*m.x197*m.x203 - 2*m.x198*m.x204 - 1.436936830729*m.b147 - 1.436936830729*m.b162 >= -1.436936830729) m.c1345 = Constraint(expr=m.x199**2 + m.x200**2 + m.x203**2 + m.x204**2 - 2*m.x199*m.x203 - 2*m.x200*m.x204 - 2.9321082756*m.b152 - 2.9321082756*m.b162 >= -2.9321082756) m.c1346 = Constraint(expr=m.x201**2 + m.x202**2 + m.x203**2 + m.x204**2 - 2*m.x201*m.x203 - 2*m.x202*m.x204 - 2.9321082756*m.b157 - 2.9321082756*m.b162 >= -2.9321082756) m.c1347 = Constraint(expr=m.x203**2 + m.x204**2 + m.x205**2 + m.x206**2 - 2*m.x203*m.x205 - 2*m.x204*m.x206 - 2.9321082756*m.b162 - 2.9321082756*m.b167 >= -2.9321082756) m.c1348 = Constraint(expr=m.x177**2 + m.x178**2 + m.x205**2 + m.x206**2 - 2*m.x178*m.x206 - 2*m.x177*m.x205 - 2.118573403024*m.b27 - 2.118573403024*m.b167 >= -2.118573403024) m.c1349 = Constraint(expr=m.x179**2 + m.x180**2 + m.x205**2 + m.x206**2 - 2*m.x179*m.x205 - 2*m.x180*m.x206 - 2.118573403024*m.b36 - 2.118573403024*m.b167 >= -2.118573403024) m.c1350 = Constraint(expr=m.x181**2 + m.x182**2 + m.x205**2 + m.x206**2 - 2*m.x182*m.x206 - 2*m.x181*m.x205 - 2.118573403024*m.b45 - 2.118573403024*m.b167 >= -2.118573403024) m.c1351 = Constraint(expr=m.x183**2 + m.x184**2 + m.x205**2 + m.x206**2 - 2*m.x184*m.x206 - 2*m.x183*m.x205 - 2.118573403024*m.b54 - 2.118573403024*m.b167 >= -2.118573403024) m.c1352 = Constraint(expr=m.x185**2 + m.x186**2 + m.x205**2 + m.x206**2 - 2*m.x185*m.x205 - 2*m.x186*m.x206 - 2.118573403024*m.b63 - 2.118573403024*m.b167 >= -2.118573403024) m.c1353 = Constraint(expr=m.x187**2 + m.x188**2 + m.x205**2 + m.x206**2 - 2*m.x187*m.x205 - 2*m.x188*m.x206 - 2.118573403024*m.b72 - 2.118573403024*m.b167 >= -2.118573403024) m.c1354 = Constraint(expr=m.x189**2 + m.x190**2 + m.x205**2 + m.x206**2 - 2*m.x189*m.x205 - 2*m.x190*m.x206 - 1.436936830729*m.b87 - 1.436936830729*m.b167 >= -1.436936830729) m.c1355 = Constraint(expr=m.x191**2 + m.x192**2 + m.x205**2 + m.x206**2 - 2*m.x191*m.x205 - 2*m.x192*m.x206 - 1.436936830729*m.b102 - 1.436936830729*m.b167 >= -1.436936830729) m.c1356 = Constraint(expr=m.x193**2 + m.x194**2 + m.x205**2 + m.x206**2 - 2*m.x193*m.x205 - 2*m.x194*m.x206 - 1.436936830729*m.b117 - 1.436936830729*m.b167 >= -1.436936830729) m.c1357 = Constraint(expr=m.x195**2 + m.x196**2 + m.x205**2 + m.x206**2 - 2*m.x195*m.x205 - 2*m.x196*m.x206 - 1.436936830729*m.b132 - 1.436936830729*m.b167 >= -1.436936830729) m.c1358 = Constraint(expr=m.x197**2 + m.x198**2 + m.x205**2 + m.x206**2 - 2*m.x197*m.x205 - 2*m.x198*m.x206 - 1.436936830729*m.b147 - 1.436936830729*m.b167 >= -1.436936830729) m.c1359 = Constraint(expr=m.x199**2 + m.x200**2 + m.x205**2 + m.x206**2 - 2*m.x199*m.x205 - 2*m.x200*m.x206 - 2.9321082756*m.b152 - 2.9321082756*m.b167 >= -2.9321082756) m.c1360 = Constraint(expr=m.x201**2 + m.x202**2 + m.x205**2 + m.x206**2 - 2*m.x201*m.x205 - 2*m.x202*m.x206 - 2.9321082756*m.b157 - 2.9321082756*m.b167 >= -2.9321082756) m.c1361 = Constraint(expr=m.x203**2 + m.x204**2 + m.x205**2 + m.x206**2 - 2*m.x203*m.x205 - 2*m.x204*m.x206 - 2.9321082756*m.b162 - 2.9321082756*m.b167 >= -2.9321082756) m.c1362 = Constraint(expr=m.x177**2 + m.x178**2 + m.x179**2 + m.x180**2 - 2*m.x177*m.x179 - 2*m.x178*m.x180 - 1.436939228176*m.b28 - 1.436939228176*m.b37 >= -1.436939228176) m.c1363 = Constraint(expr=m.x177**2 + m.x178**2 + m.x181**2 + m.x182**2 - 2*m.x177*m.x181 - 2*m.x178*m.x182 - 1.436939228176*m.b28 - 1.436939228176*m.b46 >= -1.436939228176) m.c1364 = Constraint(expr=m.x177**2 + m.x178**2 + m.x183**2 + m.x184**2 - 2*m.x177*m.x183 - 2*m.x178*m.x184 - 1.436939228176*m.b28 - 1.436939228176*m.b55 >= -1.436939228176) m.c1365 = Constraint(expr=m.x177**2 + m.x178**2 + m.x185**2 + m.x186**2 - 2*m.x177*m.x185 - 2*m.x178*m.x186 - 1.436939228176*m.b28 - 1.436939228176*m.b64 >= -1.436939228176) m.c1366 = Constraint(expr=m.x177**2 + m.x178**2 + m.x187**2 + m.x188**2 - 2*m.x178*m.x188 - 2*m.x177*m.x187 - 1.436939228176*m.b28 - 1.436939228176*m.b73 >= -1.436939228176) m.c1367 = Constraint(expr=m.x177**2 + m.x178**2 + m.x189**2 + m.x190**2 - 2*m.x177*m.x189 - 2*m.x178*m.x190 - 0.887203867225*m.b28 - 0.887203867225*m.b88 >= -0.887203867225) m.c1368 = Constraint(expr=m.x177**2 + m.x178**2 + m.x191**2 + m.x192**2 - 2*m.x178*m.x192 - 2*m.x177*m.x191 - 0.887203867225*m.b28 - 0.887203867225*m.b103 >= -0.887203867225) m.c1369 = Constraint(expr=m.x177**2 + m.x178**2 + m.x193**2 + m.x194**2 - 2*m.x178*m.x194 - 2*m.x177*m.x193 - 0.887203867225*m.b28 - 0.887203867225*m.b118 >= -0.887203867225) m.c1370 = Constraint(expr=m.x177**2 + m.x178**2 + m.x195**2 + m.x196**2 - 2*m.x177*m.x195 - 2*m.x178*m.x196 - 0.887203867225*m.b28 - 0.887203867225*m.b133 >= -0.887203867225) m.c1371 = Constraint(expr=m.x177**2 + m.x178**2 + m.x197**2 + m.x198**2 - 2*m.x177*m.x197 - 2*m.x178*m.x198 - 0.887203867225*m.b28 - 0.887203867225*m.b148 >= -0.887203867225) m.c1372 = Constraint(expr=m.x177**2 + m.x178**2 + m.x199**2 + m.x200**2 - 2*m.x178*m.x200 - 2*m.x177*m.x199 - 2.118573403024*m.b28 - 2.118573403024*m.b153 >= -2.118573403024) m.c1373 = Constraint(expr=m.x177**2 + m.x178**2 + m.x201**2 + m.x202**2 - 2*m.x178*m.x202 - 2*m.x177*m.x201 - 2.118573403024*m.b28 - 2.118573403024*m.b158 >= -2.118573403024) m.c1374 = Constraint(expr=m.x177**2 + m.x178**2 + m.x203**2 + m.x204**2 - 2*m.x177*m.x203 - 2*m.x178*m.x204 - 2.118573403024*m.b28 - 2.118573403024*m.b163 >= -2.118573403024) m.c1375 = Constraint(expr=m.x177**2 + m.x178**2 + m.x205**2 + m.x206**2 - 2*m.x178*m.x206 - 2*m.x177*m.x205 - 2.118573403024*m.b28 - 2.118573403024*m.b168 >= -2.118573403024) m.c1376 = Constraint(expr=m.x177**2 + m.x178**2 + m.x179**2 + m.x180**2 - 2*m.x177*m.x179 - 2*m.x178*m.x180 - 1.436939228176*m.b28 - 1.436939228176*m.b37 >= -1.436939228176) m.c1377 = Constraint(expr=m.x179**2 + m.x180**2 + m.x181**2 + m.x182**2 - 2*m.x179*m.x181 - 2*m.x180*m.x182 - 1.436939228176*m.b37 - 1.436939228176*m.b46 >= -1.436939228176) m.c1378 = Constraint(expr=m.x179**2 + m.x180**2 + m.x183**2 + m.x184**2 - 2*m.x179*m.x183 - 2*m.x180*m.x184 - 1.436939228176*m.b37 - 1.436939228176*m.b55 >= -1.436939228176) m.c1379 = Constraint(expr=m.x179**2 + m.x180**2 + m.x185**2 + m.x186**2 - 2*m.x179*m.x185 - 2*m.x180*m.x186 - 1.436939228176*m.b37 - 1.436939228176*m.b64 >= -1.436939228176) m.c1380 = Constraint(expr=m.x179**2 + m.x180**2 + m.x187**2 + m.x188**2 - 2*m.x179*m.x187 - 2*m.x180*m.x188 - 1.436939228176*m.b37 - 1.436939228176*m.b73 >= -1.436939228176) m.c1381 = Constraint(expr=m.x179**2 + m.x180**2 + m.x189**2 + m.x190**2 - 2*m.x180*m.x190 - 2*m.x179*m.x189 - 0.887203867225*m.b37 - 0.887203867225*m.b88 >= -0.887203867225) m.c1382 = Constraint(expr=m.x179**2 + m.x180**2 + m.x191**2 + m.x192**2 - 2*m.x180*m.x192 - 2*m.x179*m.x191 - 0.887203867225*m.b37 - 0.887203867225*m.b103 >= -0.887203867225) m.c1383 = Constraint(expr=m.x179**2 + m.x180**2 + m.x193**2 + m.x194**2 - 2*m.x179*m.x193 - 2*m.x180*m.x194 - 0.887203867225*m.b37 - 0.887203867225*m.b118 >= -0.887203867225) m.c1384 = Constraint(expr=m.x179**2 + m.x180**2 + m.x195**2 + m.x196**2 - 2*m.x180*m.x196 - 2*m.x179*m.x195 - 0.887203867225*m.b37 - 0.887203867225*m.b133 >= -0.887203867225) m.c1385 = Constraint(expr=m.x179**2 + m.x180**2 + m.x197**2 + m.x198**2 - 2*m.x180*m.x198 - 2*m.x179*m.x197 - 0.887203867225*m.b37 - 0.887203867225*m.b148 >= -0.887203867225) m.c1386 = Constraint(expr=m.x179**2 + m.x180**2 + m.x199**2 + m.x200**2 - 2*m.x180*m.x200 - 2*m.x179*m.x199 - 2.118573403024*m.b37 - 2.118573403024*m.b153 >= -2.118573403024) m.c1387 = Constraint(expr=m.x179**2 + m.x180**2 + m.x201**2 + m.x202**2 - 2*m.x179*m.x201 - 2*m.x180*m.x202 - 2.118573403024*m.b37 - 2.118573403024*m.b158 >= -2.118573403024) m.c1388 = Constraint(expr=m.x179**2 + m.x180**2 + m.x203**2 + m.x204**2 - 2*m.x180*m.x204 - 2*m.x179*m.x203 - 2.118573403024*m.b37 - 2.118573403024*m.b163 >= -2.118573403024) m.c1389 = Constraint(expr=m.x179**2 + m.x180**2 + m.x205**2 + m.x206**2 - 2*m.x179*m.x205 - 2*m.x180*m.x206 - 2.118573403024*m.b37 - 2.118573403024*m.b168 >= -2.118573403024) m.c1390 = Constraint(expr=m.x177**2 + m.x178**2 + m.x181**2 + m.x182**2 - 2*m.x177*m.x181 - 2*m.x178*m.x182 - 1.436939228176*m.b28 - 1.436939228176*m.b46 >= -1.436939228176) m.c1391 = Constraint(expr=m.x179**2 + m.x180**2 + m.x181**2 + m.x182**2 - 2*m.x179*m.x181 - 2*m.x180*m.x182 - 1.436939228176*m.b37 - 1.436939228176*m.b46 >= -1.436939228176) m.c1392 = Constraint(expr=m.x181**2 + m.x182**2 + m.x183**2 + m.x184**2 - 2*m.x181*m.x183 - 2*m.x182*m.x184 - 1.436939228176*m.b46 - 1.436939228176*m.b55 >= -1.436939228176) m.c1393 = Constraint(expr=m.x181**2 + m.x182**2 + m.x185**2 + m.x186**2 - 2*m.x181*m.x185 - 2*m.x182*m.x186 - 1.436939228176*m.b46 - 1.436939228176*m.b64 >= -1.436939228176) m.c1394 = Constraint(expr=m.x181**2 + m.x182**2 + m.x187**2 + m.x188**2 - 2*m.x182*m.x188 - 2*m.x181*m.x187 - 1.436939228176*m.b46 - 1.436939228176*m.b73 >= -1.436939228176) m.c1395 = Constraint(expr=m.x181**2 + m.x182**2 + m.x189**2 + m.x190**2 - 2*m.x182*m.x190 - 2*m.x181*m.x189 - 0.887203867225*m.b46 - 0.887203867225*m.b88 >= -0.887203867225) m.c1396 = Constraint(expr=m.x181**2 + m.x182**2 + m.x191**2 + m.x192**2 - 2*m.x181*m.x191 - 2*m.x182*m.x192 - 0.887203867225*m.b46 - 0.887203867225*m.b103 >= -0.887203867225) m.c1397 = Constraint(expr=m.x181**2 + m.x182**2 + m.x193**2 + m.x194**2 - 2*m.x182*m.x194 - 2*m.x181*m.x193 - 0.887203867225*m.b46 - 0.887203867225*m.b118 >= -0.887203867225) m.c1398 = Constraint(expr=m.x181**2 + m.x182**2 + m.x195**2 + m.x196**2 - 2*m.x182*m.x196 - 2*m.x181*m.x195 - 0.887203867225*m.b46 - 0.887203867225*m.b133 >= -0.887203867225) m.c1399 = Constraint(expr=m.x181**2 + m.x182**2 + m.x197**2 + m.x198**2 - 2*m.x182*m.x198 - 2*m.x181*m.x197 - 0.887203867225*m.b46 - 0.887203867225*m.b148 >= -0.887203867225) m.c1400 = Constraint(expr=m.x181**2 + m.x182**2 + m.x199**2 + m.x200**2 - 2*m.x181*m.x199 - 2*m.x182*m.x200 - 2.118573403024*m.b46 - 2.118573403024*m.b153 >= -2.118573403024) m.c1401 = Constraint(expr=m.x181**2 + m.x182**2 + m.x201**2 + m.x202**2 - 2*m.x182*m.x202 - 2*m.x181*m.x201 - 2.118573403024*m.b46 - 2.118573403024*m.b158 >= -2.118573403024) m.c1402 = Constraint(expr=m.x181**2 + m.x182**2 + m.x203**2 + m.x204**2 - 2*m.x182*m.x204 - 2*m.x181*m.x203 - 2.118573403024*m.b46 - 2.118573403024*m.b163 >= -2.118573403024) m.c1403 = Constraint(expr=m.x181**2 + m.x182**2 + m.x205**2 + m.x206**2 - 2*m.x182*m.x206 - 2*m.x181*m.x205 - 2.118573403024*m.b46 - 2.118573403024*m.b168 >= -2.118573403024) m.c1404 = Constraint(expr=m.x177**2 + m.x178**2 + m.x183**2 + m.x184**2 - 2*m.x177*m.x183 - 2*m.x178*m.x184 - 1.436939228176*m.b28 - 1.436939228176*m.b55 >= -1.436939228176) m.c1405 = Constraint(expr=m.x179**2 + m.x180**2 + m.x183**2 + m.x184**2 - 2*m.x179*m.x183 - 2*m.x180*m.x184 - 1.436939228176*m.b37 - 1.436939228176*m.b55 >= -1.436939228176) m.c1406 = Constraint(expr=m.x181**2 + m.x182**2 + m.x183**2 + m.x184**2 - 2*m.x181*m.x183 - 2*m.x182*m.x184 - 1.436939228176*m.b46 - 1.436939228176*m.b55 >= -1.436939228176) m.c1407 = Constraint(expr=m.x183**2 + m.x184**2 + m.x185**2 + m.x186**2 - 2*m.x183*m.x185 - 2*m.x184*m.x186 - 1.436939228176*m.b55 - 1.436939228176*m.b64 >= -1.436939228176) m.c1408 = Constraint(expr=m.x183**2 + m.x184**2 + m.x187**2 + m.x188**2 - 2*m.x184*m.x188 - 2*m.x183*m.x187 - 1.436939228176*m.b55 - 1.436939228176*m.b73 >= -1.436939228176) m.c1409 = Constraint(expr=m.x183**2 + m.x184**2 + m.x189**2 + m.x190**2 - 2*m.x183*m.x189 - 2*m.x184*m.x190 - 0.887203867225*m.b55 - 0.887203867225*m.b88 >= -0.887203867225) m.c1410 = Constraint(expr=m.x183**2 + m.x184**2 + m.x191**2 + m.x192**2 - 2*m.x184*m.x192 - 2*m.x183*m.x191 - 0.887203867225*m.b55 - 0.887203867225*m.b103 >= -0.887203867225) m.c1411 = Constraint(expr=m.x183**2 + m.x184**2 + m.x193**2 + m.x194**2 - 2*m.x184*m.x194 - 2*m.x183*m.x193 - 0.887203867225*m.b55 - 0.887203867225*m.b118 >= -0.887203867225) m.c1412 = Constraint(expr=m.x183**2 + m.x184**2 + m.x195**2 + m.x196**2 - 2*m.x183*m.x195 - 2*m.x184*m.x196 - 0.887203867225*m.b55 - 0.887203867225*m.b133 >= -0.887203867225) m.c1413 = Constraint(expr=m.x183**2 + m.x184**2 + m.x197**2 + m.x198**2 - 2*m.x183*m.x197 - 2*m.x184*m.x198 - 0.887203867225*m.b55 - 0.887203867225*m.b148 >= -0.887203867225) m.c1414 = Constraint(expr=m.x183**2 + m.x184**2 + m.x199**2 + m.x200**2 - 2*m.x184*m.x200 - 2*m.x183*m.x199 - 2.118573403024*m.b55 - 2.118573403024*m.b153 >= -2.118573403024) m.c1415 = Constraint(expr=m.x183**2 + m.x184**2 + m.x201**2 + m.x202**2 - 2*m.x184*m.x202 - 2*m.x183*m.x201 - 2.118573403024*m.b55 - 2.118573403024*m.b158 >= -2.118573403024) m.c1416 = Constraint(expr=m.x183**2 + m.x184**2 + m.x203**2 + m.x204**2 - 2*m.x183*m.x203 - 2*m.x184*m.x204 - 2.118573403024*m.b55 - 2.118573403024*m.b163 >= -2.118573403024) m.c1417 = Constraint(expr=m.x183**2 + m.x184**2 + m.x205**2 + m.x206**2 - 2*m.x184*m.x206 - 2*m.x183*m.x205 - 2.118573403024*m.b55 - 2.118573403024*m.b168 >= -2.118573403024) m.c1418 = Constraint(expr=m.x177**2 + m.x178**2 + m.x185**2 + m.x186**2 - 2*m.x177*m.x185 - 2*m.x178*m.x186 - 1.436939228176*m.b28 - 1.436939228176*m.b64 >= -1.436939228176) m.c1419 = Constraint(expr=m.x179**2 + m.x180**2 + m.x185**2 + m.x186**2 - 2*m.x179*m.x185 - 2*m.x180*m.x186 - 1.436939228176*m.b37 - 1.436939228176*m.b64 >= -1.436939228176) m.c1420 = Constraint(expr=m.x181**2 + m.x182**2 + m.x185**2 + m.x186**2 - 2*m.x181*m.x185 - 2*m.x182*m.x186 - 1.436939228176*m.b46 - 1.436939228176*m.b64 >= -1.436939228176) m.c1421 = Constraint(expr=m.x183**2 + m.x184**2 + m.x185**2 + m.x186**2 - 2*m.x183*m.x185 - 2*m.x184*m.x186 - 1.436939228176*m.b55 - 1.436939228176*m.b64 >= -1.436939228176) m.c1422 = Constraint(expr=m.x185**2 + m.x186**2 + m.x187**2 + m.x188**2 - 2*m.x185*m.x187 - 2*m.x186*m.x188 - 1.436939228176*m.b64 - 1.436939228176*m.b73 >= -1.436939228176) m.c1423 = Constraint(expr=m.x185**2 + m.x186**2 + m.x189**2 + m.x190**2 - 2*m.x186*m.x190 - 2*m.x185*m.x189 - 0.887203867225*m.b64 - 0.887203867225*m.b88 >= -0.887203867225) m.c1424 = Constraint(expr=m.x185**2 + m.x186**2 + m.x191**2 + m.x192**2 - 2*m.x186*m.x192 - 2*m.x185*m.x191 - 0.887203867225*m.b64 - 0.887203867225*m.b103 >= -0.887203867225) m.c1425 = Constraint(expr=m.x185**2 + m.x186**2 + m.x193**2 + m.x194**2 - 2*m.x185*m.x193 - 2*m.x186*m.x194 - 0.887203867225*m.b64 - 0.887203867225*m.b118 >= -0.887203867225) m.c1426 = Constraint(expr=m.x185**2 + m.x186**2 + m.x195**2 + m.x196**2 - 2*m.x186*m.x196 - 2*m.x185*m.x195 - 0.887203867225*m.b64 - 0.887203867225*m.b133 >= -0.887203867225) m.c1427 = Constraint(expr=m.x185**2 + m.x186**2 + m.x197**2 + m.x198**2 - 2*m.x186*m.x198 - 2*m.x185*m.x197 - 0.887203867225*m.b64 - 0.887203867225*m.b148 >= -0.887203867225) m.c1428 = Constraint(expr=m.x185**2 + m.x186**2 + m.x199**2 + m.x200**2 - 2*m.x186*m.x200 - 2*m.x185*m.x199 - 2.118573403024*m.b64 - 2.118573403024*m.b153 >= -2.118573403024) m.c1429 = Constraint(expr=m.x185**2 + m.x186**2 + m.x201**2 + m.x202**2 - 2*m.x185*m.x201 - 2*m.x186*m.x202 - 2.118573403024*m.b64 - 2.118573403024*m.b158 >= -2.118573403024) m.c1430 = Constraint(expr=m.x185**2 + m.x186**2 + m.x203**2 + m.x204**2 - 2*m.x186*m.x204 - 2*m.x185*m.x203 - 2.118573403024*m.b64 - 2.118573403024*m.b163 >= -2.118573403024) m.c1431 = Constraint(expr=m.x185**2 + m.x186**2 + m.x205**2 + m.x206**2 - 2*m.x185*m.x205 - 2*m.x186*m.x206 - 2.118573403024*m.b64 - 2.118573403024*m.b168 >= -2.118573403024) m.c1432 = Constraint(expr=m.x177**2 + m.x178**2 + m.x187**2 + m.x188**2 - 2*m.x178*m.x188 - 2*m.x177*m.x187 - 1.436939228176*m.b28 - 1.436939228176*m.b73 >= -1.436939228176) m.c1433 = Constraint(expr=m.x179**2 + m.x180**2 + m.x187**2 + m.x188**2 - 2*m.x179*m.x187 - 2*m.x180*m.x188 - 1.436939228176*m.b37 - 1.436939228176*m.b73 >= -1.436939228176) m.c1434 = Constraint(expr=m.x181**2 + m.x182**2 + m.x187**2 + m.x188**2 - 2*m.x182*m.x188 - 2*m.x181*m.x187 - 1.436939228176*m.b46 - 1.436939228176*m.b73 >= -1.436939228176) m.c1435 = Constraint(expr=m.x183**2 + m.x184**2 + m.x187**2 + m.x188**2 - 2*m.x184*m.x188 - 2*m.x183*m.x187 - 1.436939228176*m.b55 - 1.436939228176*m.b73 >= -1.436939228176) m.c1436 = Constraint(expr=m.x185**2 + m.x186**2 + m.x187**2 + m.x188**2 - 2*m.x185*m.x187 - 2*m.x186*m.x188 - 1.436939228176*m.b64 - 1.436939228176*m.b73 >= -1.436939228176) m.c1437 = Constraint(expr=m.x187**2 + m.x188**2 + m.x189**2 + m.x190**2 - 2*m.x187*m.x189 - 2*m.x188*m.x190 - 0.887203867225*m.b73 - 0.887203867225*m.b88 >= -0.887203867225) m.c1438 = Constraint(expr=m.x187**2 + m.x188**2 + m.x191**2 + m.x192**2 - 2*m.x187*m.x191 - 2*m.x188*m.x192 - 0.887203867225*m.b73 - 0.887203867225*m.b103 >= -0.887203867225) m.c1439 = Constraint(expr=m.x187**2 + m.x188**2 + m.x193**2 + m.x194**2 - 2*m.x187*m.x193 - 2*m.x188*m.x194 - 0.887203867225*m.b73 - 0.887203867225*m.b118 >= -0.887203867225) m.c1440 = Constraint(expr=m.x187**2 + m.x188**2 + m.x195**2 + m.x196**2 - 2*m.x187*m.x195 - 2*m.x188*m.x196 - 0.887203867225*m.b73 - 0.887203867225*m.b133 >= -0.887203867225) m.c1441 = Constraint(expr=m.x187**2 + m.x188**2 + m.x197**2 + m.x198**2 - 2*m.x187*m.x197 - 2*m.x188*m.x198 - 0.887203867225*m.b73 - 0.887203867225*m.b148 >= -0.887203867225) m.c1442 = Constraint(expr=m.x187**2 + m.x188**2 + m.x199**2 + m.x200**2 - 2*m.x187*m.x199 - 2*m.x188*m.x200 - 2.118573403024*m.b73 - 2.118573403024*m.b153 >= -2.118573403024) m.c1443 = Constraint(expr=m.x187**2 + m.x188**2 + m.x201**2 + m.x202**2 - 2*m.x187*m.x201 - 2*m.x188*m.x202 - 2.118573403024*m.b73 - 2.118573403024*m.b158 >= -2.118573403024) m.c1444 = Constraint(expr=m.x187**2 + m.x188**2 + m.x203**2 + m.x204**2 - 2*m.x187*m.x203 - 2*m.x188*m.x204 - 2.118573403024*m.b73 - 2.118573403024*m.b163 >= -2.118573403024) m.c1445 = Constraint(expr=m.x187**2 + m.x188**2 + m.x205**2 + m.x206**2 - 2*m.x187*m.x205 - 2*m.x188*m.x206 - 2.118573403024*m.b73 - 2.118573403024*m.b168 >= -2.118573403024) m.c1446 = Constraint(expr=m.x177**2 + m.x178**2 + m.x189**2 + m.x190**2 - 2*m.x177*m.x189 - 2*m.x178*m.x190 - 0.887203867225*m.b28 - 0.887203867225*m.b88 >= -0.887203867225) m.c1447 = Constraint(expr=m.x179**2 + m.x180**2 + m.x189**2 + m.x190**2 - 2*m.x180*m.x190 - 2*m.x179*m.x189 - 0.887203867225*m.b37 - 0.887203867225*m.b88 >= -0.887203867225) m.c1448 = Constraint(expr=m.x181**2 + m.x182**2 + m.x189**2 + m.x190**2 - 2*m.x182*m.x190 - 2*m.x181*m.x189 - 0.887203867225*m.b46 - 0.887203867225*m.b88 >= -0.887203867225) m.c1449 = Constraint(expr=m.x183**2 + m.x184**2 + m.x189**2 + m.x190**2 - 2*m.x183*m.x189 - 2*m.x184*m.x190 - 0.887203867225*m.b55 - 0.887203867225*m.b88 >= -0.887203867225) m.c1450 = Constraint(expr=m.x185**2 + m.x186**2 + m.x189**2 + m.x190**2 - 2*m.x186*m.x190 - 2*m.x185*m.x189 - 0.887203867225*m.b64 - 0.887203867225*m.b88 >= -0.887203867225) m.c1451 = Constraint(expr=m.x187**2 + m.x188**2 + m.x189**2 + m.x190**2 - 2*m.x187*m.x189 - 2*m.x188*m.x190 - 0.887203867225*m.b73 - 0.887203867225*m.b88 >= -0.887203867225) m.c1452 = Constraint(expr=m.x189**2 + m.x190**2 + m.x191**2 + m.x192**2 - 2*m.x189*m.x191 - 2*m.x190*m.x192 - 0.469370231236*m.b88 - 0.469370231236*m.b103 >= -0.469370231236) m.c1453 = Constraint(expr=m.x189**2 + m.x190**2 + m.x193**2 + m.x194**2 - 2*m.x189*m.x193 - 2*m.x190*m.x194 - 0.469370231236*m.b88 - 0.469370231236*m.b118 >= -0.469370231236) m.c1454 = Constraint(expr=m.x189**2 + m.x190**2 + m.x195**2 + m.x196**2 - 2*m.x189*m.x195 - 2*m.x190*m.x196 - 0.469370231236*m.b88 - 0.469370231236*m.b133 >= -0.469370231236) m.c1455 = Constraint(expr=m.x189**2 + m.x190**2 + m.x197**2 + m.x198**2 - 2*m.x189*m.x197 - 2*m.x190*m.x198 - 0.469370231236*m.b88 - 0.469370231236*m.b148 >= -0.469370231236) m.c1456 = Constraint(expr=m.x189**2 + m.x190**2 + m.x199**2 + m.x200**2 - 2*m.x189*m.x199 - 2*m.x190*m.x200 - 1.436936830729*m.b88 - 1.436936830729*m.b153 >= -1.436936830729) m.c1457 = Constraint(expr=m.x189**2 + m.x190**2 + m.x201**2 + m.x202**2 - 2*m.x189*m.x201 - 2*m.x190*m.x202 - 1.436936830729*m.b88 - 1.436936830729*m.b158 >= -1.436936830729) m.c1458 = Constraint(expr=m.x189**2 + m.x190**2 + m.x203**2 + m.x204**2 - 2*m.x189*m.x203 - 2*m.x190*m.x204 - 1.436936830729*m.b88 - 1.436936830729*m.b163 >= -1.436936830729) m.c1459 = Constraint(expr=m.x189**2 + m.x190**2 + m.x205**2 + m.x206**2 - 2*m.x189*m.x205 - 2*m.x190*m.x206 - 1.436936830729*m.b88 - 1.436936830729*m.b168 >= -1.436936830729) m.c1460 = Constraint(expr=m.x177**2 + m.x178**2 + m.x191**2 + m.x192**2 - 2*m.x178*m.x192 - 2*m.x177*m.x191 - 0.887203867225*m.b28 - 0.887203867225*m.b103 >= -0.887203867225) m.c1461 = Constraint(expr=m.x179**2 + m.x180**2 + m.x191**2 + m.x192**2 - 2*m.x180*m.x192 - 2*m.x179*m.x191 - 0.887203867225*m.b37 - 0.887203867225*m.b103 >= -0.887203867225) m.c1462 = Constraint(expr=m.x181**2 + m.x182**2 + m.x191**2 + m.x192**2 - 2*m.x181*m.x191 - 2*m.x182*m.x192 - 0.887203867225*m.b46 - 0.887203867225*m.b103 >= -0.887203867225) m.c1463 = Constraint(expr=m.x183**2 + m.x184**2 + m.x191**2 + m.x192**2 - 2*m.x184*m.x192 - 2*m.x183*m.x191 - 0.887203867225*m.b55 - 0.887203867225*m.b103 >= -0.887203867225) m.c1464 = Constraint(expr=m.x185**2 + m.x186**2 + m.x191**2 + m.x192**2 - 2*m.x186*m.x192 - 2*m.x185*m.x191 - 0.887203867225*m.b64 - 0.887203867225*m.b103 >= -0.887203867225) m.c1465 = Constraint(expr=m.x187**2 + m.x188**2 + m.x191**2 + m.x192**2 - 2*m.x187*m.x191 - 2*m.x188*m.x192 - 0.887203867225*m.b73 - 0.887203867225*m.b103 >= -0.887203867225) m.c1466 = Constraint(expr=m.x189**2 + m.x190**2 + m.x191**2 + m.x192**2 - 2*m.x189*m.x191 - 2*m.x190*m.x192 - 0.469370231236*m.b88 - 0.469370231236*m.b103 >= -0.469370231236) m.c1467 = Constraint(expr=m.x191**2 + m.x192**2 + m.x193**2 + m.x194**2 - 2*m.x191*m.x193 - 2*m.x192*m.x194 - 0.469370231236*m.b103 - 0.469370231236*m.b118 >= -0.469370231236) m.c1468 = Constraint(expr=m.x191**2 + m.x192**2 + m.x195**2 + m.x196**2 - 2*m.x191*m.x195 - 2*m.x192*m.x196 - 0.469370231236*m.b103 - 0.469370231236*m.b133 >= -0.469370231236) m.c1469 = Constraint(expr=m.x191**2 + m.x192**2 + m.x197**2 + m.x198**2 - 2*m.x191*m.x197 - 2*m.x192*m.x198 - 0.469370231236*m.b103 - 0.469370231236*m.b148 >= -0.469370231236) m.c1470 = Constraint(expr=m.x191**2 + m.x192**2 + m.x199**2 + m.x200**2 - 2*m.x191*m.x199 - 2*m.x192*m.x200 - 1.436936830729*m.b103 - 1.436936830729*m.b153 >= -1.436936830729) m.c1471 = Constraint(expr=m.x191**2 + m.x192**2 + m.x201**2 + m.x202**2 - 2*m.x191*m.x201 - 2*m.x192*m.x202 - 1.436936830729*m.b103 - 1.436936830729*m.b158 >= -1.436936830729) m.c1472 = Constraint(expr=m.x191**2 + m.x192**2 + m.x203**2 + m.x204**2 - 2*m.x191*m.x203 - 2*m.x192*m.x204 - 1.436936830729*m.b103 - 1.436936830729*m.b163 >= -1.436936830729) m.c1473 = Constraint(expr=m.x191**2 + m.x192**2 + m.x205**2 + m.x206**2 - 2*m.x191*m.x205 - 2*m.x192*m.x206 - 1.436936830729*m.b103 - 1.436936830729*m.b168 >= -1.436936830729) m.c1474 = Constraint(expr=m.x177**2 + m.x178**2 + m.x193**2 + m.x194**2 - 2*m.x178*m.x194 - 2*m.x177*m.x193 - 0.887203867225*m.b28 - 0.887203867225*m.b118 >= -0.887203867225) m.c1475 = Constraint(expr=m.x179**2 + m.x180**2 + m.x193**2 + m.x194**2 - 2*m.x179*m.x193 - 2*m.x180*m.x194 - 0.887203867225*m.b37 - 0.887203867225*m.b118 >= -0.887203867225) m.c1476 = Constraint(expr=m.x181**2 + m.x182**2 + m.x193**2 + m.x194**2 - 2*m.x182*m.x194 - 2*m.x181*m.x193 - 0.887203867225*m.b46 - 0.887203867225*m.b118 >= -0.887203867225) m.c1477 = Constraint(expr=m.x183**2 + m.x184**2 + m.x193**2 + m.x194**2 - 2*m.x184*m.x194 - 2*m.x183*m.x193 - 0.887203867225*m.b55 - 0.887203867225*m.b118 >= -0.887203867225) m.c1478 = Constraint(expr=m.x185**2 + m.x186**2 + m.x193**2 + m.x194**2 - 2*m.x185*m.x193 - 2*m.x186*m.x194 - 0.887203867225*m.b64 - 0.887203867225*m.b118 >= -0.887203867225) m.c1479 = Constraint(expr=m.x187**2 + m.x188**2 + m.x193**2 + m.x194**2 - 2*m.x187*m.x193 - 2*m.x188*m.x194 - 0.887203867225*m.b73 - 0.887203867225*m.b118 >= -0.887203867225) m.c1480 = Constraint(expr=m.x189**2 + m.x190**2 + m.x193**2 + m.x194**2 - 2*m.x189*m.x193 - 2*m.x190*m.x194 - 0.469370231236*m.b88 - 0.469370231236*m.b118 >= -0.469370231236) m.c1481 = Constraint(expr=m.x191**2 + m.x192**2 + m.x193**2 + m.x194**2 - 2*m.x191*m.x193 - 2*m.x192*m.x194 - 0.469370231236*m.b103 - 0.469370231236*m.b118 >= -0.469370231236) m.c1482 = Constraint(expr=m.x193**2 + m.x194**2 + m.x195**2 + m.x196**2 - 2*m.x193*m.x195 - 2*m.x194*m.x196 - 0.469370231236*m.b118 - 0.469370231236*m.b133 >= -0.469370231236) m.c1483 = Constraint(expr=m.x193**2 + m.x194**2 + m.x197**2 + m.x198**2 - 2*m.x193*m.x197 - 2*m.x194*m.x198 - 0.469370231236*m.b118 - 0.469370231236*m.b148 >= -0.469370231236) m.c1484 = Constraint(expr=m.x193**2 + m.x194**2 + m.x199**2 + m.x200**2 - 2*m.x193*m.x199 - 2*m.x194*m.x200 - 1.436936830729*m.b118 - 1.436936830729*m.b153 >= -1.436936830729) m.c1485 = Constraint(expr=m.x193**2 + m.x194**2 + m.x201**2 + m.x202**2 - 2*m.x193*m.x201 - 2*m.x194*m.x202 - 1.436936830729*m.b118 - 1.436936830729*m.b158 >= -1.436936830729) m.c1486 = Constraint(expr=m.x193**2 + m.x194**2 + m.x203**2 + m.x204**2 - 2*m.x193*m.x203 - 2*m.x194*m.x204 - 1.436936830729*m.b118 - 1.436936830729*m.b163 >= -1.436936830729) m.c1487 = Constraint(expr=m.x193**2 + m.x194**2 + m.x205**2 + m.x206**2 - 2*m.x193*m.x205 - 2*m.x194*m.x206 - 1.436936830729*m.b118 - 1.436936830729*m.b168 >= -1.436936830729) m.c1488 = Constraint(expr=m.x177**2 + m.x178**2 + m.x195**2 + m.x196**2 - 2*m.x177*m.x195 - 2*m.x178*m.x196 - 0.887203867225*m.b28 - 0.887203867225*m.b133 >= -0.887203867225) m.c1489 = Constraint(expr=m.x179**2 + m.x180**2 + m.x195**2 + m.x196**2 - 2*m.x180*m.x196 - 2*m.x179*m.x195 - 0.887203867225*m.b37 - 0.887203867225*m.b133 >= -0.887203867225) m.c1490 = Constraint(expr=m.x181**2 + m.x182**2 + m.x195**2 + m.x196**2 - 2*m.x182*m.x196 - 2*m.x181*m.x195 - 0.887203867225*m.b46 - 0.887203867225*m.b133 >= -0.887203867225) m.c1491 = Constraint(expr=m.x183**2 + m.x184**2 + m.x195**2 + m.x196**2 - 2*m.x184*m.x196 - 2*m.x183*m.x195 - 0.887203867225*m.b55 - 0.887203867225*m.b133 >= -0.887203867225) m.c1492 = Constraint(expr=m.x185**2 + m.x186**2 + m.x195**2 + m.x196**2 - 2*m.x186*m.x196 - 2*m.x185*m.x195 - 0.887203867225*m.b64 - 0.887203867225*m.b133 >= -0.887203867225) m.c1493 = Constraint(expr=m.x187**2 + m.x188**2 + m.x195**2 + m.x196**2 - 2*m.x187*m.x195 - 2*m.x188*m.x196 - 0.887203867225*m.b73 - 0.887203867225*m.b133 >= -0.887203867225) m.c1494 = Constraint(expr=m.x189**2 + m.x190**2 + m.x195**2 + m.x196**2 - 2*m.x189*m.x195 - 2*m.x190*m.x196 - 0.469370231236*m.b88 - 0.469370231236*m.b133 >= -0.469370231236) m.c1495 = Constraint(expr=m.x191**2 + m.x192**2 + m.x195**2 + m.x196**2 - 2*m.x191*m.x195 - 2*m.x192*m.x196 - 0.469370231236*m.b103 - 0.469370231236*m.b133 >= -0.469370231236) m.c1496 = Constraint(expr=m.x193**2 + m.x194**2 + m.x195**2 + m.x196**2 - 2*m.x193*m.x195 - 2*m.x194*m.x196 - 0.469370231236*m.b118 - 0.469370231236*m.b133 >= -0.469370231236) m.c1497 = Constraint(expr=m.x195**2 + m.x196**2 + m.x197**2 + m.x198**2 - 2*m.x195*m.x197 - 2*m.x196*m.x198 - 0.469370231236*m.b133 - 0.469370231236*m.b148 >= -0.469370231236) m.c1498 = Constraint(expr=m.x195**2 + m.x196**2 + m.x199**2 + m.x200**2 - 2*m.x195*m.x199 - 2*m.x196*m.x200 - 1.436936830729*m.b133 - 1.436936830729*m.b153 >= -1.436936830729) m.c1499 = Constraint(expr=m.x195**2 + m.x196**2 + m.x201**2 + m.x202**2 - 2*m.x195*m.x201 - 2*m.x196*m.x202 - 1.436936830729*m.b133 - 1.436936830729*m.b158 >= -1.436936830729) m.c1500 = Constraint(expr=m.x195**2 + m.x196**2 + m.x203**2 + m.x204**2 - 2*m.x195*m.x203 - 2*m.x196*m.x204 - 1.436936830729*m.b133 - 1.436936830729*m.b163 >= -1.436936830729) m.c1501 = Constraint(expr=m.x195**2 + m.x196**2 + m.x205**2 + m.x206**2 - 2*m.x195*m.x205 - 2*m.x196*m.x206 - 1.436936830729*m.b133 - 1.436936830729*m.b168 >= -1.436936830729) m.c1502 = Constraint(expr=m.x177**2 + m.x178**2 + m.x197**2 + m.x198**2 - 2*m.x177*m.x197 - 2*m.x178*m.x198 - 0.887203867225*m.b28 - 0.887203867225*m.b148 >= -0.887203867225) m.c1503 = Constraint(expr=m.x179**2 + m.x180**2 + m.x197**2 + m.x198**2 - 2*m.x180*m.x198 - 2*m.x179*m.x197 - 0.887203867225*m.b37 - 0.887203867225*m.b148 >= -0.887203867225) m.c1504 = Constraint(expr=m.x181**2 + m.x182**2 + m.x197**2 + m.x198**2 - 2*m.x182*m.x198 - 2*m.x181*m.x197 - 0.887203867225*m.b46 - 0.887203867225*m.b148 >= -0.887203867225) m.c1505 = Constraint(expr=m.x183**2 + m.x184**2 + m.x197**2 + m.x198**2 - 2*m.x183*m.x197 - 2*m.x184*m.x198 - 0.887203867225*m.b55 - 0.887203867225*m.b148 >= -0.887203867225) m.c1506 = Constraint(expr=m.x185**2 + m.x186**2 + m.x197**2 + m.x198**2 - 2*m.x186*m.x198 - 2*m.x185*m.x197 - 0.887203867225*m.b64 - 0.887203867225*m.b148 >= -0.887203867225) m.c1507 = Constraint(expr=m.x187**2 + m.x188**2 + m.x197**2 + m.x198**2 - 2*m.x187*m.x197 - 2*m.x188*m.x198 - 0.887203867225*m.b73 - 0.887203867225*m.b148 >= -0.887203867225) m.c1508 = Constraint(expr=m.x189**2 + m.x190**2 + m.x197**2 + m.x198**2 - 2*m.x189*m.x197 - 2*m.x190*m.x198 - 0.469370231236*m.b88 - 0.469370231236*m.b148 >= -0.469370231236) m.c1509 = Constraint(expr=m.x191**2 + m.x192**2 + m.x197**2 + m.x198**2 - 2*m.x191*m.x197 - 2*m.x192*m.x198 - 0.469370231236*m.b103 - 0.469370231236*m.b148 >= -0.469370231236) m.c1510 = Constraint(expr=m.x193**2 + m.x194**2 + m.x197**2 + m.x198**2 - 2*m.x193*m.x197 - 2*m.x194*m.x198 - 0.469370231236*m.b118 - 0.469370231236*m.b148 >= -0.469370231236) m.c1511 = Constraint(expr=m.x195**2 + m.x196**2 + m.x197**2 + m.x198**2 - 2*m.x195*m.x197 - 2*m.x196*m.x198 - 0.469370231236*m.b133 - 0.469370231236*m.b148 >= -0.469370231236) m.c1512 = Constraint(expr=m.x197**2 + m.x198**2 + m.x199**2 + m.x200**2 - 2*m.x197*m.x199 - 2*m.x198*m.x200 - 1.436936830729*m.b148 - 1.436936830729*m.b153 >= -1.436936830729) m.c1513 = Constraint(expr=m.x197**2 + m.x198**2 + m.x201**2 + m.x202**2 - 2*m.x197*m.x201 - 2*m.x198*m.x202 - 1.436936830729*m.b148 - 1.436936830729*m.b158 >= -1.436936830729) m.c1514 = Constraint(expr=m.x197**2 + m.x198**2 + m.x203**2 + m.x204**2 - 2*m.x197*m.x203 - 2*m.x198*m.x204 - 1.436936830729*m.b148 - 1.436936830729*m.b163 >= -1.436936830729) m.c1515 = Constraint(expr=m.x197**2 + m.x198**2 + m.x205**2 + m.x206**2 - 2*m.x197*m.x205 - 2*m.x198*m.x206 - 1.436936830729*m.b148 - 1.436936830729*m.b168 >= -1.436936830729) m.c1516 = Constraint(expr=m.x177**2 + m.x178**2 + m.x199**2 + m.x200**2 - 2*m.x178*m.x200 - 2*m.x177*m.x199 - 2.118573403024*m.b28 - 2.118573403024*m.b153 >= -2.118573403024) m.c1517 = Constraint(expr=m.x179**2 + m.x180**2 + m.x199**2 + m.x200**2 - 2*m.x180*m.x200 - 2*m.x179*m.x199 - 2.118573403024*m.b37 - 2.118573403024*m.b153 >= -2.118573403024) m.c1518 = Constraint(expr=m.x181**2 + m.x182**2 + m.x199**2 + m.x200**2 - 2*m.x181*m.x199 - 2*m.x182*m.x200 - 2.118573403024*m.b46 - 2.118573403024*m.b153 >= -2.118573403024) m.c1519 = Constraint(expr=m.x183**2 + m.x184**2 + m.x199**2 + m.x200**2 - 2*m.x184*m.x200 - 2*m.x183*m.x199 - 2.118573403024*m.b55 - 2.118573403024*m.b153 >= -2.118573403024) m.c1520 = Constraint(expr=m.x185**2 + m.x186**2 + m.x199**2 + m.x200**2 - 2*m.x186*m.x200 - 2*m.x185*m.x199 - 2.118573403024*m.b64 - 2.118573403024*m.b153 >= -2.118573403024) m.c1521 = Constraint(expr=m.x187**2 + m.x188**2 + m.x199**2 + m.x200**2 - 2*m.x187*m.x199 - 2*m.x188*m.x200 - 2.118573403024*m.b73 - 2.118573403024*m.b153 >= -2.118573403024) m.c1522 = Constraint(expr=m.x189**2 + m.x190**2 + m.x199**2 + m.x200**2 - 2*m.x189*m.x199 - 2*m.x190*m.x200 - 1.436936830729*m.b88 - 1.436936830729*m.b153 >= -1.436936830729) m.c1523 = Constraint(expr=m.x191**2 + m.x192**2 + m.x199**2 + m.x200**2 - 2*m.x191*m.x199 - 2*m.x192*m.x200 - 1.436936830729*m.b103 - 1.436936830729*m.b153 >= -1.436936830729) m.c1524 = Constraint(expr=m.x193**2 + m.x194**2 + m.x199**2 + m.x200**2 - 2*m.x193*m.x199 - 2*m.x194*m.x200 - 1.436936830729*m.b118 - 1.436936830729*m.b153 >= -1.436936830729) m.c1525 = Constraint(expr=m.x195**2 + m.x196**2 + m.x199**2 + m.x200**2 - 2*m.x195*m.x199 - 2*m.x196*m.x200 - 1.436936830729*m.b133 - 1.436936830729*m.b153 >= -1.436936830729) m.c1526 = Constraint(expr=m.x197**2 + m.x198**2 + m.x199**2 + m.x200**2 - 2*m.x197*m.x199 - 2*m.x198*m.x200 - 1.436936830729*m.b148 - 1.436936830729*m.b153 >= -1.436936830729) m.c1527 = Constraint(expr=m.x199**2 + m.x200**2 + m.x201**2 + m.x202**2 - 2*m.x199*m.x201 - 2*m.x200*m.x202 - 2.9321082756*m.b153 - 2.9321082756*m.b158 >= -2.9321082756) m.c1528 = Constraint(expr=m.x199**2 + m.x200**2 + m.x203**2 + m.x204**2 - 2*m.x199*m.x203 - 2*m.x200*m.x204 - 2.9321082756*m.b153 - 2.9321082756*m.b163 >= -2.9321082756) m.c1529 = Constraint(expr=m.x199**2 + m.x200**2 + m.x205**2 + m.x206**2 - 2*m.x199*m.x205 - 2*m.x200*m.x206 - 2.9321082756*m.b153 - 2.9321082756*m.b168 >= -2.9321082756) m.c1530 = Constraint(expr=m.x177**2 + m.x178**2 + m.x201**2 + m.x202**2 - 2*m.x178*m.x202 - 2*m.x177*m.x201 - 2.118573403024*m.b28 - 2.118573403024*m.b158 >= -2.118573403024) m.c1531 = Constraint(expr=m.x179**2 + m.x180**2 + m.x201**2 + m.x202**2 - 2*m.x179*m.x201 - 2*m.x180*m.x202 - 2.118573403024*m.b37 - 2.118573403024*m.b158 >= -2.118573403024) m.c1532 = Constraint(expr=m.x181**2 + m.x182**2 + m.x201**2 + m.x202**2 - 2*m.x182*m.x202 - 2*m.x181*m.x201 - 2.118573403024*m.b46 - 2.118573403024*m.b158 >= -2.118573403024) m.c1533 = Constraint(expr=m.x183**2 + m.x184**2 + m.x201**2 + m.x202**2 - 2*m.x184*m.x202 - 2*m.x183*m.x201 - 2.118573403024*m.b55 - 2.118573403024*m.b158 >= -2.118573403024) m.c1534 = Constraint(expr=m.x185**2 + m.x186**2 + m.x201**2 + m.x202**2 - 2*m.x185*m.x201 - 2*m.x186*m.x202 - 2.118573403024*m.b64 - 2.118573403024*m.b158 >= -2.118573403024) m.c1535 = Constraint(expr=m.x187**2 + m.x188**2 + m.x201**2 + m.x202**2 - 2*m.x187*m.x201 - 2*m.x188*m.x202 - 2.118573403024*m.b73 - 2.118573403024*m.b158 >= -2.118573403024) m.c1536 = Constraint(expr=m.x189**2 + m.x190**2 + m.x201**2 + m.x202**2 - 2*m.x189*m.x201 - 2*m.x190*m.x202 - 1.436936830729*m.b88 - 1.436936830729*m.b158 >= -1.436936830729) m.c1537 = Constraint(expr=m.x191**2 + m.x192**2 + m.x201**2 + m.x202**2 - 2*m.x191*m.x201 - 2*m.x192*m.x202 - 1.436936830729*m.b103 - 1.436936830729*m.b158 >= -1.436936830729) m.c1538 = Constraint(expr=m.x193**2 + m.x194**2 + m.x201**2 + m.x202**2 - 2*m.x193*m.x201 - 2*m.x194*m.x202 - 1.436936830729*m.b118 - 1.436936830729*m.b158 >= -1.436936830729) m.c1539 = Constraint(expr=m.x195**2 + m.x196**2 + m.x201**2 + m.x202**2 - 2*m.x195*m.x201 - 2*m.x196*m.x202 - 1.436936830729*m.b133 - 1.436936830729*m.b158 >= -1.436936830729) m.c1540 = Constraint(expr=m.x197**2 + m.x198**2 + m.x201**2 + m.x202**2 - 2*m.x197*m.x201 - 2*m.x198*m.x202 - 1.436936830729*m.b148 - 1.436936830729*m.b158 >= -1.436936830729) m.c1541 = Constraint(expr=m.x199**2 + m.x200**2 + m.x201**2 + m.x202**2 - 2*m.x199*m.x201 - 2*m.x200*m.x202 - 2.9321082756*m.b153 - 2.9321082756*m.b158 >= -2.9321082756) m.c1542 = Constraint(expr=m.x201**2 + m.x202**2 + m.x203**2 + m.x204**2 - 2*m.x201*m.x203 - 2*m.x202*m.x204 - 2.9321082756*m.b158 - 2.9321082756*m.b163 >= -2.9321082756) m.c1543 = Constraint(expr=m.x201**2 + m.x202**2 + m.x205**2 + m.x206**2 - 2*m.x201*m.x205 - 2*m.x202*m.x206 - 2.9321082756*m.b158 - 2.9321082756*m.b168 >= -2.9321082756) m.c1544 = Constraint(expr=m.x177**2 + m.x178**2 + m.x203**2 + m.x204**2 - 2*m.x177*m.x203 - 2*m.x178*m.x204 - 2.118573403024*m.b28 - 2.118573403024*m.b163 >= -2.118573403024) m.c1545 = Constraint(expr=m.x179**2 + m.x180**2 + m.x203**2 + m.x204**2 - 2*m.x180*m.x204 - 2*m.x179*m.x203 - 2.118573403024*m.b37 - 2.118573403024*m.b163 >= -2.118573403024) m.c1546 = Constraint(expr=m.x181**2 + m.x182**2 + m.x203**2 + m.x204**2 - 2*m.x182*m.x204 - 2*m.x181*m.x203 - 2.118573403024*m.b46 - 2.118573403024*m.b163 >= -2.118573403024) m.c1547 = Constraint(expr=m.x183**2 + m.x184**2 + m.x203**2 + m.x204**2 - 2*m.x183*m.x203 - 2*m.x184*m.x204 - 2.118573403024*m.b55 - 2.118573403024*m.b163 >= -2.118573403024) m.c1548 = Constraint(expr=m.x185**2 + m.x186**2 + m.x203**2 + m.x204**2 - 2*m.x186*m.x204 - 2*m.x185*m.x203 - 2.118573403024*m.b64 - 2.118573403024*m.b163 >= -2.118573403024) m.c1549 = Constraint(expr=m.x187**2 + m.x188**2 + m.x203**2 + m.x204**2 - 2*m.x187*m.x203 - 2*m.x188*m.x204 - 2.118573403024*m.b73 - 2.118573403024*m.b163 >= -2.118573403024) m.c1550 = Constraint(expr=m.x189**2 + m.x190**2 + m.x203**2 + m.x204**2 - 2*m.x189*m.x203 - 2*m.x190*m.x204 - 1.436936830729*m.b88 - 1.436936830729*m.b163 >= -1.436936830729) m.c1551 = Constraint(expr=m.x191**2 + m.x192**2 + m.x203**2 + m.x204**2 - 2*m.x191*m.x203 - 2*m.x192*m.x204 - 1.436936830729*m.b103 - 1.436936830729*m.b163 >= -1.436936830729) m.c1552 = Constraint(expr=m.x193**2 + m.x194**2 + m.x203**2 + m.x204**2 - 2*m.x193*m.x203 - 2*m.x194*m.x204 - 1.436936830729*m.b118 - 1.436936830729*m.b163 >= -1.436936830729) m.c1553 = Constraint(expr=m.x195**2 + m.x196**2 + m.x203**2 + m.x204**2 - 2*m.x195*m.x203 - 2*m.x196*m.x204 - 1.436936830729*m.b133 - 1.436936830729*m.b163 >= -1.436936830729) m.c1554 = Constraint(expr=m.x197**2 + m.x198**2 + m.x203**2 + m.x204**2 - 2*m.x197*m.x203 - 2*m.x198*m.x204 - 1.436936830729*m.b148 - 1.436936830729*m.b163 >= -1.436936830729) m.c1555 = Constraint(expr=m.x199**2 + m.x200**2 + m.x203**2 + m.x204**2 - 2*m.x199*m.x203 - 2*m.x200*m.x204 - 2.9321082756*m.b153 - 2.9321082756*m.b163 >= -2.9321082756) m.c1556 = Constraint(expr=m.x201**2 + m.x202**2 + m.x203**2 + m.x204**2 - 2*m.x201*m.x203 - 2*m.x202*m.x204 - 2.9321082756*m.b158 - 2.9321082756*m.b163 >= -2.9321082756) m.c1557 = Constraint(expr=m.x203**2 + m.x204**2 + m.x205**2 + m.x206**2 - 2*m.x203*m.x205 - 2*m.x204*m.x206 - 2.9321082756*m.b163 - 2.9321082756*m.b168 >= -2.9321082756) m.c1558 = Constraint(expr=m.x177**2 + m.x178**2 + m.x205**2 + m.x206**2 - 2*m.x178*m.x206 - 2*m.x177*m.x205 - 2.118573403024*m.b28 - 2.118573403024*m.b168 >= -2.118573403024) m.c1559 = Constraint(expr=m.x179**2 + m.x180**2 + m.x205**2 + m.x206**2 - 2*m.x179*m.x205 - 2*m.x180*m.x206 - 2.118573403024*m.b37 - 2.118573403024*m.b168 >= -2.118573403024) m.c1560 = Constraint(expr=m.x181**2 + m.x182**2 + m.x205**2 + m.x206**2 - 2*m.x181*m.x205 - 2*m.x182*m.x206 - 2.118573403024*m.b46 - 2.118573403024*m.b168 >= -2.118573403024) m.c1561 = Constraint(expr=m.x183**2 + m.x184**2 + m.x205**2 + m.x206**2 - 2*m.x184*m.x206 - 2*m.x183*m.x205 - 2.118573403024*m.b55 - 2.118573403024*m.b168 >= -2.118573403024) m.c1562 = Constraint(expr=m.x185**2 + m.x186**2 + m.x205**2 + m.x206**2 - 2*m.x186*m.x206 - 2*m.x185*m.x205 - 2.118573403024*m.b64 - 2.118573403024*m.b168 >= -2.118573403024) m.c1563 = Constraint(expr=m.x187**2 + m.x188**2 + m.x205**2 + m.x206**2 - 2*m.x187*m.x205 - 2*m.x188*m.x206 - 2.118573403024*m.b73 - 2.118573403024*m.b168 >= -2.118573403024) m.c1564 = Constraint(expr=m.x189**2 + m.x190**2 + m.x205**2 + m.x206**2 - 2*m.x189*m.x205 - 2*m.x190*m.x206 - 1.436936830729*m.b88 - 1.436936830729*m.b168 >= -1.436936830729) m.c1565 = Constraint(expr=m.x191**2 + m.x192**2 + m.x205**2 + m.x206**2 - 2*m.x191*m.x205 - 2*m.x192*m.x206 - 1.436936830729*m.b103 - 1.436936830729*m.b168 >= -1.436936830729) m.c1566 = Constraint(expr=m.x193**2 + m.x194**2 + m.x205**2 + m.x206**2 - 2*m.x193*m.x205 - 2*m.x194*m.x206 - 1.436936830729*m.b118 - 1.436936830729*m.b168 >= -1.436936830729) m.c1567 = Constraint(expr=m.x195**2 + m.x196**2 + m.x205**2 + m.x206**2 - 2*m.x195*m.x205 - 2*m.x196*m.x206 - 1.436936830729*m.b133 - 1.436936830729*m.b168 >= -1.436936830729) m.c1568 = Constraint(expr=m.x197**2 + m.x198**2 + m.x205**2 + m.x206**2 - 2*m.x197*m.x205 - 2*m.x198*m.x206 - 1.436936830729*m.b148 - 1.436936830729*m.b168 >= -1.436936830729) m.c1569 = Constraint(expr=m.x199**2 + m.x200**2 + m.x205**2 + m.x206**2 - 2*m.x199*m.x205 - 2*m.x200*m.x206 - 2.9321082756*m.b153 - 2.9321082756*m.b168 >= -2.9321082756) m.c1570 = Constraint(expr=m.x201**2 + m.x202**2 + m.x205**2 + m.x206**2 - 2*m.x201*m.x205 - 2*m.x202*m.x206 - 2.9321082756*m.b158 - 2.9321082756*m.b168 >= -2.9321082756) m.c1571 = Constraint(expr=m.x203**2 + m.x204**2 + m.x205**2 + m.x206**2 - 2*m.x203*m.x205 - 2*m.x204*m.x206 - 2.9321082756*m.b163 - 2.9321082756*m.b168 >= -2.9321082756) m.c1572 = Constraint(expr=m.x177**2 + m.x178**2 + m.x179**2 + m.x180**2 - 2*m.x177*m.x179 - 2*m.x178*m.x180 - 1.436939228176*m.b29 - 1.436939228176*m.b38 >= -1.436939228176) m.c1573 = Constraint(expr=m.x177**2 + m.x178**2 + m.x181**2 + m.x182**2 - 2*m.x177*m.x181 - 2*m.x178*m.x182 - 1.436939228176*m.b29 - 1.436939228176*m.b47 >= -1.436939228176) m.c1574 = Constraint(expr=m.x177**2 + m.x178**2 + m.x183**2 + m.x184**2 - 2*m.x177*m.x183 - 2*m.x178*m.x184 - 1.436939228176*m.b29 - 1.436939228176*m.b56 >= -1.436939228176) m.c1575 = Constraint(expr=m.x177**2 + m.x178**2 + m.x185**2 + m.x186**2 - 2*m.x177*m.x185 - 2*m.x178*m.x186 - 1.436939228176*m.b29 - 1.436939228176*m.b65 >= -1.436939228176) m.c1576 = Constraint(expr=m.x177**2 + m.x178**2 + m.x187**2 + m.x188**2 - 2*m.x178*m.x188 - 2*m.x177*m.x187 - 1.436939228176*m.b29 - 1.436939228176*m.b74 >= -1.436939228176) m.c1577 = Constraint(expr=m.x177**2 + m.x178**2 + m.x189**2 + m.x190**2 - 2*m.x177*m.x189 - 2*m.x178*m.x190 - 0.887203867225*m.b29 - 0.887203867225*m.b89 >= -0.887203867225) m.c1578 = Constraint(expr=m.x177**2 + m.x178**2 + m.x191**2 + m.x192**2 - 2*m.x178*m.x192 - 2*m.x177*m.x191 - 0.887203867225*m.b29 - 0.887203867225*m.b104 >= -0.887203867225) m.c1579 = Constraint(expr=m.x177**2 + m.x178**2 + m.x193**2 + m.x194**2 - 2*m.x178*m.x194 - 2*m.x177*m.x193 - 0.887203867225*m.b29 - 0.887203867225*m.b119 >= -0.887203867225) m.c1580 = Constraint(expr=m.x177**2 + m.x178**2 + m.x195**2 + m.x196**2 - 2*m.x177*m.x195 - 2*m.x178*m.x196 - 0.887203867225*m.b29 - 0.887203867225*m.b134 >= -0.887203867225) m.c1581 = Constraint(expr=m.x177**2 + m.x178**2 + m.x197**2 + m.x198**2 - 2*m.x177*m.x197 - 2*m.x178*m.x198 - 0.887203867225*m.b29 - 0.887203867225*m.b149 >= -0.887203867225) m.c1582 = Constraint(expr=m.x177**2 + m.x178**2 + m.x199**2 + m.x200**2 - 2*m.x178*m.x200 - 2*m.x177*m.x199 - 2.118573403024*m.b29 - 2.118573403024*m.b154 >= -2.118573403024) m.c1583 = Constraint(expr=m.x177**2 + m.x178**2 + m.x201**2 + m.x202**2 - 2*m.x178*m.x202 - 2*m.x177*m.x201 - 2.118573403024*m.b29 - 2.118573403024*m.b159 >= -2.118573403024) m.c1584 = Constraint(expr=m.x177**2 + m.x178**2 + m.x203**2 + m.x204**2 - 2*m.x177*m.x203 - 2*m.x178*m.x204 - 2.118573403024*m.b29 - 2.118573403024*m.b164 >= -2.118573403024) m.c1585 = Constraint(expr=m.x177**2 + m.x178**2 + m.x205**2 + m.x206**2 - 2*m.x178*m.x206 - 2*m.x177*m.x205 - 2.118573403024*m.b29 - 2.118573403024*m.b169 >= -2.118573403024) m.c1586 = Constraint(expr=m.x177**2 + m.x178**2 + m.x207**2 + m.x208**2 - 2*m.x177*m.x207 - 2*m.x178*m.x208 - 4.509770398884*m.b29 - 4.509770398884*m.b171 >= -4.509770398884) m.c1587 = Constraint(expr=m.x177**2 + m.x178**2 + m.x209**2 + m.x210**2 - 2*m.x178*m.x210 - 2*m.x177*m.x209 - 4.509770398884*m.b29 - 4.509770398884*m.b173 >= -4.509770398884) m.c1588 = Constraint(expr=m.x177**2 + m.x178**2 + m.x211**2 + m.x212**2 - 2*m.x177*m.x211 - 2*m.x178*m.x212 - 4.509770398884*m.b29 - 4.509770398884*m.b175 >= -4.509770398884) m.c1589 = Constraint(expr=m.x177**2 + m.x178**2 + m.x179**2 + m.x180**2 - 2*m.x177*m.x179 - 2*m.x178*m.x180 - 1.436939228176*m.b29 - 1.436939228176*m.b38 >= -1.436939228176) m.c1590 = Constraint(expr=m.x179**2 + m.x180**2 + m.x181**2 + m.x182**2 - 2*m.x179*m.x181 - 2*m.x180*m.x182 - 1.436939228176*m.b38 - 1.436939228176*m.b47 >= -1.436939228176) m.c1591 = Constraint(expr=m.x179**2 + m.x180**2 + m.x183**2 + m.x184**2 - 2*m.x179*m.x183 - 2*m.x180*m.x184 - 1.436939228176*m.b38 - 1.436939228176*m.b56 >= -1.436939228176) m.c1592 = Constraint(expr=m.x179**2 + m.x180**2 + m.x185**2 + m.x186**2 - 2*m.x179*m.x185 - 2*m.x180*m.x186 - 1.436939228176*m.b38 - 1.436939228176*m.b65 >= -1.436939228176) m.c1593 = Constraint(expr=m.x179**2 + m.x180**2 + m.x187**2 + m.x188**2 - 2*m.x179*m.x187 - 2*m.x180*m.x188 - 1.436939228176*m.b38 - 1.436939228176*m.b74 >= -1.436939228176) m.c1594 = Constraint(expr=m.x179**2 + m.x180**2 + m.x189**2 + m.x190**2 - 2*m.x180*m.x190 - 2*m.x179*m.x189 - 0.887203867225*m.b38 - 0.887203867225*m.b89 >= -0.887203867225) m.c1595 = Constraint(expr=m.x179**2 + m.x180**2 + m.x191**2 + m.x192**2 - 2*m.x180*m.x192 - 2*m.x179*m.x191 - 0.887203867225*m.b38 - 0.887203867225*m.b104 >= -0.887203867225) m.c1596 = Constraint(expr=m.x179**2 + m.x180**2 + m.x193**2 + m.x194**2 - 2*m.x179*m.x193 - 2*m.x180*m.x194 - 0.887203867225*m.b38 - 0.887203867225*m.b119 >= -0.887203867225) m.c1597 = Constraint(expr=m.x179**2 + m.x180**2 + m.x195**2 + m.x196**2 - 2*m.x180*m.x196 - 2*m.x179*m.x195 - 0.887203867225*m.b38 - 0.887203867225*m.b134 >= -0.887203867225) m.c1598 = Constraint(expr=m.x179**2 + m.x180**2 + m.x197**2 + m.x198**2 - 2*m.x180*m.x198 - 2*m.x179*m.x197 - 0.887203867225*m.b38 - 0.887203867225*m.b149 >= -0.887203867225) m.c1599 = Constraint(expr=m.x179**2 + m.x180**2 + m.x199**2 + m.x200**2 - 2*m.x180*m.x200 - 2*m.x179*m.x199 - 2.118573403024*m.b38 - 2.118573403024*m.b154 >= -2.118573403024) m.c1600 = Constraint(expr=m.x179**2 + m.x180**2 + m.x201**2 + m.x202**2 - 2*m.x179*m.x201 - 2*m.x180*m.x202 - 2.118573403024*m.b38 - 2.118573403024*m.b159 >= -2.118573403024) m.c1601 = Constraint(expr=m.x179**2 + m.x180**2 + m.x203**2 + m.x204**2 - 2*m.x180*m.x204 - 2*m.x179*m.x203 - 2.118573403024*m.b38 - 2.118573403024*m.b164 >= -2.118573403024) m.c1602 = Constraint(expr=m.x179**2 + m.x180**2 + m.x205**2 + m.x206**2 - 2*m.x179*m.x205 - 2*m.x180*m.x206 - 2.118573403024*m.b38 - 2.118573403024*m.b169 >= -2.118573403024) m.c1603 = Constraint(expr=m.x179**2 + m.x180**2 + m.x207**2 + m.x208**2 - 2*m.x180*m.x208 - 2*m.x179*m.x207 - 4.509770398884*m.b38 - 4.509770398884*m.b171 >= -4.509770398884) m.c1604 = Constraint(expr=m.x179**2 + m.x180**2 + m.x209**2 + m.x210**2 - 2*m.x180*m.x210 - 2*m.x179*m.x209 - 4.509770398884*m.b38 - 4.509770398884*m.b173 >= -4.509770398884) m.c1605 = Constraint(expr=m.x179**2 + m.x180**2 + m.x211**2 + m.x212**2 - 2*m.x179*m.x211 - 2*m.x180*m.x212 - 4.509770398884*m.b38 - 4.509770398884*m.b175 >= -4.509770398884) m.c1606 = Constraint(expr=m.x177**2 + m.x178**2 + m.x181**2 + m.x182**2 - 2*m.x177*m.x181 - 2*m.x178*m.x182 - 1.436939228176*m.b29 - 1.436939228176*m.b47 >= -1.436939228176) m.c1607 = Constraint(expr=m.x179**2 + m.x180**2 + m.x181**2 + m.x182**2 - 2*m.x179*m.x181 - 2*m.x180*m.x182 - 1.436939228176*m.b38 - 1.436939228176*m.b47 >= -1.436939228176) m.c1608 = Constraint(expr=m.x181**2 + m.x182**2 + m.x183**2 + m.x184**2 - 2*m.x181*m.x183 - 2*m.x182*m.x184 - 1.436939228176*m.b47 - 1.436939228176*m.b56 >= -1.436939228176) m.c1609 = Constraint(expr=m.x181**2 + m.x182**2 + m.x185**2 + m.x186**2 - 2*m.x181*m.x185 - 2*m.x182*m.x186 - 1.436939228176*m.b47 - 1.436939228176*m.b65 >= -1.436939228176) m.c1610 = Constraint(expr=m.x181**2 + m.x182**2 + m.x187**2 + m.x188**2 - 2*m.x182*m.x188 - 2*m.x181*m.x187 - 1.436939228176*m.b47 - 1.436939228176*m.b74 >= -1.436939228176) m.c1611 = Constraint(expr=m.x181**2 + m.x182**2 + m.x189**2 + m.x190**2 - 2*m.x182*m.x190 - 2*m.x181*m.x189 - 0.887203867225*m.b47 - 0.887203867225*m.b89 >= -0.887203867225) m.c1612 = Constraint(expr=m.x181**2 + m.x182**2 + m.x191**2 + m.x192**2 - 2*m.x181*m.x191 - 2*m.x182*m.x192 - 0.887203867225*m.b47 - 0.887203867225*m.b104 >= -0.887203867225) m.c1613 = Constraint(expr=m.x181**2 + m.x182**2 + m.x193**2 + m.x194**2 - 2*m.x182*m.x194 - 2*m.x181*m.x193 - 0.887203867225*m.b47 - 0.887203867225*m.b119 >= -0.887203867225) m.c1614 = Constraint(expr=m.x181**2 + m.x182**2 + m.x195**2 + m.x196**2 - 2*m.x182*m.x196 - 2*m.x181*m.x195 - 0.887203867225*m.b47 - 0.887203867225*m.b134 >= -0.887203867225) m.c1615 = Constraint(expr=m.x181**2 + m.x182**2 + m.x197**2 + m.x198**2 - 2*m.x182*m.x198 - 2*m.x181*m.x197 - 0.887203867225*m.b47 - 0.887203867225*m.b149 >= -0.887203867225) m.c1616 = Constraint(expr=m.x181**2 + m.x182**2 + m.x199**2 + m.x200**2 - 2*m.x181*m.x199 - 2*m.x182*m.x200 - 2.118573403024*m.b47 - 2.118573403024*m.b154 >= -2.118573403024) m.c1617 = Constraint(expr=m.x181**2 + m.x182**2 + m.x201**2 + m.x202**2 - 2*m.x182*m.x202 - 2*m.x181*m.x201 - 2.118573403024*m.b47 - 2.118573403024*m.b159 >= -2.118573403024) m.c1618 = Constraint(expr=m.x181**2 + m.x182**2 + m.x203**2 + m.x204**2 - 2*m.x182*m.x204 - 2*m.x181*m.x203 - 2.118573403024*m.b47 - 2.118573403024*m.b164 >= -2.118573403024) m.c1619 = Constraint(expr=m.x181**2 + m.x182**2 + m.x205**2 + m.x206**2 - 2*m.x182*m.x206 - 2*m.x181*m.x205 - 2.118573403024*m.b47 - 2.118573403024*m.b169 >= -2.118573403024) m.c1620 = Constraint(expr=m.x181**2 + m.x182**2 + m.x207**2 + m.x208**2 - 2*m.x182*m.x208 - 2*m.x181*m.x207 - 4.509770398884*m.b47 - 4.509770398884*m.b171 >= -4.509770398884) m.c1621 = Constraint(expr=m.x181**2 + m.x182**2 + m.x209**2 + m.x210**2 - 2*m.x181*m.x209 - 2*m.x182*m.x210 - 4.509770398884*m.b47 - 4.509770398884*m.b173 >= -4.509770398884) m.c1622 = Constraint(expr=m.x181**2 + m.x182**2 + m.x211**2 + m.x212**2 - 2*m.x182*m.x212 - 2*m.x181*m.x211 - 4.509770398884*m.b47 - 4.509770398884*m.b175 >= -4.509770398884) m.c1623 = Constraint(expr=m.x177**2 + m.x178**2 + m.x183**2 + m.x184**2 - 2*m.x177*m.x183 - 2*m.x178*m.x184 - 1.436939228176*m.b29 - 1.436939228176*m.b56 >= -1.436939228176) m.c1624 = Constraint(expr=m.x179**2 + m.x180**2 + m.x183**2 + m.x184**2 - 2*m.x179*m.x183 - 2*m.x180*m.x184 - 1.436939228176*m.b38 - 1.436939228176*m.b56 >= -1.436939228176) m.c1625 = Constraint(expr=m.x181**2 + m.x182**2 + m.x183**2 + m.x184**2 - 2*m.x181*m.x183 - 2*m.x182*m.x184 - 1.436939228176*m.b47 - 1.436939228176*m.b56 >= -1.436939228176) m.c1626 = Constraint(expr=m.x183**2 + m.x184**2 + m.x185**2 + m.x186**2 - 2*m.x183*m.x185 - 2*m.x184*m.x186 - 1.436939228176*m.b56 - 1.436939228176*m.b65 >= -1.436939228176) m.c1627 = Constraint(expr=m.x183**2 + m.x184**2 + m.x187**2 + m.x188**2 - 2*m.x184*m.x188 - 2*m.x183*m.x187 - 1.436939228176*m.b56 - 1.436939228176*m.b74 >= -1.436939228176) m.c1628 = Constraint(expr=m.x183**2 + m.x184**2 + m.x189**2 + m.x190**2 - 2*m.x183*m.x189 - 2*m.x184*m.x190 - 0.887203867225*m.b56 - 0.887203867225*m.b89 >= -0.887203867225) m.c1629 = Constraint(expr=m.x183**2 + m.x184**2 + m.x191**2 + m.x192**2 - 2*m.x184*m.x192 - 2*m.x183*m.x191 - 0.887203867225*m.b56 - 0.887203867225*m.b104 >= -0.887203867225) m.c1630 = Constraint(expr=m.x183**2 + m.x184**2 + m.x193**2 + m.x194**2 - 2*m.x184*m.x194 - 2*m.x183*m.x193 - 0.887203867225*m.b56 - 0.887203867225*m.b119 >= -0.887203867225) m.c1631 = Constraint(expr=m.x183**2 + m.x184**2 + m.x195**2 + m.x196**2 - 2*m.x183*m.x195 - 2*m.x184*m.x196 - 0.887203867225*m.b56 - 0.887203867225*m.b134 >= -0.887203867225) m.c1632 = Constraint(expr=m.x183**2 + m.x184**2 + m.x197**2 + m.x198**2 - 2*m.x183*m.x197 - 2*m.x184*m.x198 - 0.887203867225*m.b56 - 0.887203867225*m.b149 >= -0.887203867225) m.c1633 = Constraint(expr=m.x183**2 + m.x184**2 + m.x199**2 + m.x200**2 - 2*m.x184*m.x200 - 2*m.x183*m.x199 - 2.118573403024*m.b56 - 2.118573403024*m.b154 >= -2.118573403024) m.c1634 = Constraint(expr=m.x183**2 + m.x184**2 + m.x201**2 + m.x202**2 - 2*m.x184*m.x202 - 2*m.x183*m.x201 - 2.118573403024*m.b56 - 2.118573403024*m.b159 >= -2.118573403024) m.c1635 = Constraint(expr=m.x183**2 + m.x184**2 + m.x203**2 + m.x204**2 - 2*m.x183*m.x203 - 2*m.x184*m.x204 - 2.118573403024*m.b56 - 2.118573403024*m.b164 >= -2.118573403024) m.c1636 = Constraint(expr=m.x183**2 + m.x184**2 + m.x205**2 + m.x206**2 - 2*m.x184*m.x206 - 2*m.x183*m.x205 - 2.118573403024*m.b56 - 2.118573403024*m.b169 >= -2.118573403024) m.c1637 = Constraint(expr=m.x183**2 + m.x184**2 + m.x207**2 + m.x208**2 - 2*m.x183*m.x207 - 2*m.x184*m.x208 - 4.509770398884*m.b56 - 4.509770398884*m.b171 >= -4.509770398884) m.c1638 = Constraint(expr=m.x183**2 + m.x184**2 + m.x209**2 + m.x210**2 - 2*m.x184*m.x210 - 2*m.x183*m.x209 - 4.509770398884*m.b56 - 4.509770398884*m.b173 >= -4.509770398884) m.c1639 = Constraint(expr=m.x183**2 + m.x184**2 + m.x211**2 + m.x212**2 - 2*m.x184*m.x212 - 2*m.x183*m.x211 - 4.509770398884*m.b56 - 4.509770398884*m.b175 >= -4.509770398884) m.c1640 = Constraint(expr=m.x177**2 + m.x178**2 + m.x185**2 + m.x186**2 - 2*m.x177*m.x185 - 2*m.x178*m.x186 - 1.436939228176*m.b29 - 1.436939228176*m.b65 >= -1.436939228176) m.c1641 = Constraint(expr=m.x179**2 + m.x180**2 + m.x185**2 + m.x186**2 - 2*m.x179*m.x185 - 2*m.x180*m.x186 - 1.436939228176*m.b38 - 1.436939228176*m.b65 >= -1.436939228176) m.c1642 = Constraint(expr=m.x181**2 + m.x182**2 + m.x185**2 + m.x186**2 - 2*m.x181*m.x185 - 2*m.x182*m.x186 - 1.436939228176*m.b47 - 1.436939228176*m.b65 >= -1.436939228176) m.c1643 = Constraint(expr=m.x183**2 + m.x184**2 + m.x185**2 + m.x186**2 - 2*m.x183*m.x185 - 2*m.x184*m.x186 - 1.436939228176*m.b56 - 1.436939228176*m.b65 >= -1.436939228176) m.c1644 = Constraint(expr=m.x185**2 + m.x186**2 + m.x187**2 + m.x188**2 - 2*m.x185*m.x187 - 2*m.x186*m.x188 - 1.436939228176*m.b65 - 1.436939228176*m.b74 >= -1.436939228176) m.c1645 = Constraint(expr=m.x185**2 + m.x186**2 + m.x189**2 + m.x190**2 - 2*m.x186*m.x190 - 2*m.x185*m.x189 - 0.887203867225*m.b65 - 0.887203867225*m.b89 >= -0.887203867225) m.c1646 = Constraint(expr=m.x185**2 + m.x186**2 + m.x191**2 + m.x192**2 - 2*m.x186*m.x192 - 2*m.x185*m.x191 - 0.887203867225*m.b65 - 0.887203867225*m.b104 >= -0.887203867225) m.c1647 = Constraint(expr=m.x185**2 + m.x186**2 + m.x193**2 + m.x194**2 - 2*m.x186*m.x194 - 2*m.x185*m.x193 - 0.887203867225*m.b65 - 0.887203867225*m.b119 >= -0.887203867225) m.c1648 = Constraint(expr=m.x185**2 + m.x186**2 + m.x195**2 + m.x196**2 - 2*m.x186*m.x196 - 2*m.x185*m.x195 - 0.887203867225*m.b65 - 0.887203867225*m.b134 >= -0.887203867225) m.c1649 = Constraint(expr=m.x185**2 + m.x186**2 + m.x197**2 + m.x198**2 - 2*m.x186*m.x198 - 2*m.x185*m.x197 - 0.887203867225*m.b65 - 0.887203867225*m.b149 >= -0.887203867225) m.c1650 = Constraint(expr=m.x185**2 + m.x186**2 + m.x199**2 + m.x200**2 - 2*m.x186*m.x200 - 2*m.x185*m.x199 - 2.118573403024*m.b65 - 2.118573403024*m.b154 >= -2.118573403024) m.c1651 = Constraint(expr=m.x185**2 + m.x186**2 + m.x201**2 + m.x202**2 - 2*m.x186*m.x202 - 2*m.x185*m.x201 - 2.118573403024*m.b65 - 2.118573403024*m.b159 >= -2.118573403024) m.c1652 = Constraint(expr=m.x185**2 + m.x186**2 + m.x203**2 + m.x204**2 - 2*m.x186*m.x204 - 2*m.x185*m.x203 - 2.118573403024*m.b65 - 2.118573403024*m.b164 >= -2.118573403024) m.c1653 = Constraint(expr=m.x185**2 + m.x186**2 + m.x205**2 + m.x206**2 - 2*m.x185*m.x205 - 2*m.x186*m.x206 - 2.118573403024*m.b65 - 2.118573403024*m.b169 >= -2.118573403024) m.c1654 = Constraint(expr=m.x185**2 + m.x186**2 + m.x207**2 + m.x208**2 - 2*m.x186*m.x208 - 2*m.x185*m.x207 - 4.509770398884*m.b65 - 4.509770398884*m.b171 >= -4.509770398884) m.c1655 = Constraint(expr=m.x185**2 + m.x186**2 + m.x209**2 + m.x210**2 - 2*m.x186*m.x210 - 2*m.x185*m.x209 - 4.509770398884*m.b65 - 4.509770398884*m.b173 >= -4.509770398884) m.c1656 = Constraint(expr=m.x185**2 + m.x186**2 + m.x211**2 + m.x212**2 - 2*m.x185*m.x211 - 2*m.x186*m.x212 - 4.509770398884*m.b65 - 4.509770398884*m.b175 >= -4.509770398884) m.c1657 = Constraint(expr=m.x177**2 + m.x178**2 + m.x187**2 + m.x188**2 - 2*m.x178*m.x188 - 2*m.x177*m.x187 - 1.436939228176*m.b29 - 1.436939228176*m.b74 >= -1.436939228176) m.c1658 = Constraint(expr=m.x179**2 + m.x180**2 + m.x187**2 + m.x188**2 - 2*m.x179*m.x187 - 2*m.x180*m.x188 - 1.436939228176*m.b38 - 1.436939228176*m.b74 >= -1.436939228176) m.c1659 = Constraint(expr=m.x181**2 + m.x182**2 + m.x187**2 + m.x188**2 - 2*m.x182*m.x188 - 2*m.x181*m.x187 - 1.436939228176*m.b47 - 1.436939228176*m.b74 >= -1.436939228176) m.c1660 = Constraint(expr=m.x183**2 + m.x184**2 + m.x187**2 + m.x188**2 - 2*m.x184*m.x188 - 2*m.x183*m.x187 - 1.436939228176*m.b56 - 1.436939228176*m.b74 >= -1.436939228176) m.c1661 = Constraint(expr=m.x185**2 + m.x186**2 + m.x187**2 + m.x188**2 - 2*m.x185*m.x187 - 2*m.x186*m.x188 - 1.436939228176*m.b65 - 1.436939228176*m.b74 >= -1.436939228176) m.c1662 = Constraint(expr=m.x187**2 + m.x188**2 + m.x189**2 + m.x190**2 - 2*m.x187*m.x189 - 2*m.x188*m.x190 - 0.887203867225*m.b74 - 0.887203867225*m.b89 >= -0.887203867225) m.c1663 = Constraint(expr=m.x187**2 + m.x188**2 + m.x191**2 + m.x192**2 - 2*m.x187*m.x191 - 2*m.x188*m.x192 - 0.887203867225*m.b74 - 0.887203867225*m.b104 >= -0.887203867225) m.c1664 = Constraint(expr=m.x187**2 + m.x188**2 + m.x193**2 + m.x194**2 - 2*m.x187*m.x193 - 2*m.x188*m.x194 - 0.887203867225*m.b74 - 0.887203867225*m.b119 >= -0.887203867225) m.c1665 = Constraint(expr=m.x187**2 + m.x188**2 + m.x195**2 + m.x196**2 - 2*m.x187*m.x195 - 2*m.x188*m.x196 - 0.887203867225*m.b74 - 0.887203867225*m.b134 >= -0.887203867225) m.c1666 = Constraint(expr=m.x187**2 + m.x188**2 + m.x197**2 + m.x198**2 - 2*m.x187*m.x197 - 2*m.x188*m.x198 - 0.887203867225*m.b74 - 0.887203867225*m.b149 >= -0.887203867225) m.c1667 = Constraint(expr=m.x187**2 + m.x188**2 + m.x199**2 + m.x200**2 - 2*m.x187*m.x199 - 2*m.x188*m.x200 - 2.118573403024*m.b74 - 2.118573403024*m.b154 >= -2.118573403024) m.c1668 = Constraint(expr=m.x187**2 + m.x188**2 + m.x201**2 + m.x202**2 - 2*m.x187*m.x201 - 2*m.x188*m.x202 - 2.118573403024*m.b74 - 2.118573403024*m.b159 >= -2.118573403024) m.c1669 = Constraint(expr=m.x187**2 + m.x188**2 + m.x203**2 + m.x204**2 - 2*m.x187*m.x203 - 2*m.x188*m.x204 - 2.118573403024*m.b74 - 2.118573403024*m.b164 >= -2.118573403024) m.c1670 = Constraint(expr=m.x187**2 + m.x188**2 + m.x205**2 + m.x206**2 - 2*m.x187*m.x205 - 2*m.x188*m.x206 - 2.118573403024*m.b74 - 2.118573403024*m.b169 >= -2.118573403024) m.c1671 = Constraint(expr=m.x187**2 + m.x188**2 + m.x207**2 + m.x208**2 - 2*m.x187*m.x207 - 2*m.x188*m.x208 - 4.509770398884*m.b74 - 4.509770398884*m.b171 >= -4.509770398884) m.c1672 = Constraint(expr=m.x187**2 + m.x188**2 + m.x209**2 + m.x210**2 - 2*m.x187*m.x209 - 2*m.x188*m.x210 - 4.509770398884*m.b74 - 4.509770398884*m.b173 >= -4.509770398884) m.c1673 = Constraint(expr=m.x187**2 + m.x188**2 + m.x211**2 + m.x212**2 - 2*m.x187*m.x211 - 2*m.x188*m.x212 - 4.509770398884*m.b74 - 4.509770398884*m.b175 >= -4.509770398884) m.c1674 = Constraint(expr=m.x177**2 + m.x178**2 + m.x189**2 + m.x190**2 - 2*m.x177*m.x189 - 2*m.x178*m.x190 - 0.887203867225*m.b29 - 0.887203867225*m.b89 >= -0.887203867225) m.c1675 = Constraint(expr=m.x179**2 + m.x180**2 + m.x189**2 + m.x190**2 - 2*m.x180*m.x190 - 2*m.x179*m.x189 - 0.887203867225*m.b38 - 0.887203867225*m.b89 >= -0.887203867225) m.c1676 = Constraint(expr=m.x181**2 + m.x182**2 + m.x189**2 + m.x190**2 - 2*m.x182*m.x190 - 2*m.x181*m.x189 - 0.887203867225*m.b47 - 0.887203867225*m.b89 >= -0.887203867225) m.c1677 = Constraint(expr=m.x183**2 + m.x184**2 + m.x189**2 + m.x190**2 - 2*m.x183*m.x189 - 2*m.x184*m.x190 - 0.887203867225*m.b56 - 0.887203867225*m.b89 >= -0.887203867225) m.c1678 = Constraint(expr=m.x185**2 + m.x186**2 + m.x189**2 + m.x190**2 - 2*m.x186*m.x190 - 2*m.x185*m.x189 - 0.887203867225*m.b65 - 0.887203867225*m.b89 >= -0.887203867225) m.c1679 = Constraint(expr=m.x187**2 + m.x188**2 + m.x189**2 + m.x190**2 - 2*m.x187*m.x189 - 2*m.x188*m.x190 - 0.887203867225*m.b74 - 0.887203867225*m.b89 >= -0.887203867225) m.c1680 = Constraint(expr=m.x189**2 + m.x190**2 + m.x191**2 + m.x192**2 - 2*m.x189*m.x191 - 2*m.x190*m.x192 - 0.469370231236*m.b89 - 0.469370231236*m.b104 >= -0.469370231236) m.c1681 = Constraint(expr=m.x189**2 + m.x190**2 + m.x193**2 + m.x194**2 - 2*m.x189*m.x193 - 2*m.x190*m.x194 - 0.469370231236*m.b89 - 0.469370231236*m.b119 >= -0.469370231236) m.c1682 = Constraint(expr=m.x189**2 + m.x190**2 + m.x195**2 + m.x196**2 - 2*m.x189*m.x195 - 2*m.x190*m.x196 - 0.469370231236*m.b89 - 0.469370231236*m.b134 >= -0.469370231236) m.c1683 = Constraint(expr=m.x189**2 + m.x190**2 + m.x197**2 + m.x198**2 - 2*m.x189*m.x197 - 2*m.x190*m.x198 - 0.469370231236*m.b89 - 0.469370231236*m.b149 >= -0.469370231236) m.c1684 = Constraint(expr=m.x189**2 + m.x190**2 + m.x199**2 + m.x200**2 - 2*m.x189*m.x199 - 2*m.x190*m.x200 - 1.436936830729*m.b89 - 1.436936830729*m.b154 >= -1.436936830729) m.c1685 = Constraint(expr=m.x189**2 + m.x190**2 + m.x201**2 + m.x202**2 - 2*m.x189*m.x201 - 2*m.x190*m.x202 - 1.436936830729*m.b89 - 1.436936830729*m.b159 >= -1.436936830729) m.c1686 = Constraint(expr=m.x189**2 + m.x190**2 + m.x203**2 + m.x204**2 - 2*m.x189*m.x203 - 2*m.x190*m.x204 - 1.436936830729*m.b89 - 1.436936830729*m.b164 >= -1.436936830729) m.c1687 = Constraint(expr=m.x189**2 + m.x190**2 + m.x205**2 + m.x206**2 - 2*m.x189*m.x205 - 2*m.x190*m.x206 - 1.436936830729*m.b89 - 1.436936830729*m.b169 >= -1.436936830729) m.c1688 = Constraint(expr=m.x189**2 + m.x190**2 + m.x207**2 + m.x208**2 - 2*m.x189*m.x207 - 2*m.x190*m.x208 - 3.484990776969*m.b89 - 3.484990776969*m.b171 >= -3.484990776969) m.c1689 = Constraint(expr=m.x189**2 + m.x190**2 + m.x209**2 + m.x210**2 - 2*m.x189*m.x209 - 2*m.x190*m.x210 - 3.484990776969*m.b89 - 3.484990776969*m.b173 >= -3.484990776969) m.c1690 = Constraint(expr=m.x189**2 + m.x190**2 + m.x211**2 + m.x212**2 - 2*m.x189*m.x211 - 2*m.x190*m.x212 - 3.484990776969*m.b89 - 3.484990776969*m.b175 >= -3.484990776969) m.c1691 = Constraint(expr=m.x177**2 + m.x178**2 + m.x191**2 + m.x192**2 - 2*m.x178*m.x192 - 2*m.x177*m.x191 - 0.887203867225*m.b29 - 0.887203867225*m.b104 >= -0.887203867225) m.c1692 = Constraint(expr=m.x179**2 + m.x180**2 + m.x191**2 + m.x192**2 - 2*m.x180*m.x192 - 2*m.x179*m.x191 - 0.887203867225*m.b38 - 0.887203867225*m.b104 >= -0.887203867225) m.c1693 = Constraint(expr=m.x181**2 + m.x182**2 + m.x191**2 + m.x192**2 - 2*m.x181*m.x191 - 2*m.x182*m.x192 - 0.887203867225*m.b47 - 0.887203867225*m.b104 >= -0.887203867225) m.c1694 = Constraint(expr=m.x183**2 + m.x184**2 + m.x191**2 + m.x192**2 - 2*m.x184*m.x192 - 2*m.x183*m.x191 - 0.887203867225*m.b56 - 0.887203867225*m.b104 >= -0.887203867225) m.c1695 = Constraint(expr=m.x185**2 + m.x186**2 + m.x191**2 + m.x192**2 - 2*m.x186*m.x192 - 2*m.x185*m.x191 - 0.887203867225*m.b65 - 0.887203867225*m.b104 >= -0.887203867225) m.c1696 = Constraint(expr=m.x187**2 + m.x188**2 + m.x191**2 + m.x192**2 - 2*m.x187*m.x191 - 2*m.x188*m.x192 - 0.887203867225*m.b74 - 0.887203867225*m.b104 >= -0.887203867225) m.c1697 = Constraint(expr=m.x189**2 + m.x190**2 + m.x191**2 + m.x192**2 - 2*m.x189*m.x191 - 2*m.x190*m.x192 - 0.469370231236*m.b89 - 0.469370231236*m.b104 >= -0.469370231236) m.c1698 = Constraint(expr=m.x191**2 + m.x192**2 + m.x193**2 + m.x194**2 - 2*m.x191*m.x193 - 2*m.x192*m.x194 - 0.469370231236*m.b104 - 0.469370231236*m.b119 >= -0.469370231236) m.c1699 = Constraint(expr=m.x191**2 + m.x192**2 + m.x195**2 + m.x196**2 - 2*m.x191*m.x195 - 2*m.x192*m.x196 - 0.469370231236*m.b104 - 0.469370231236*m.b134 >= -0.469370231236) m.c1700 = Constraint(expr=m.x191**2 + m.x192**2 + m.x197**2 + m.x198**2 - 2*m.x191*m.x197 - 2*m.x192*m.x198 - 0.469370231236*m.b104 - 0.469370231236*m.b149 >= -0.469370231236) m.c1701 = Constraint(expr=m.x191**2 + m.x192**2 + m.x199**2 + m.x200**2 - 2*m.x191*m.x199 - 2*m.x192*m.x200 - 1.436936830729*m.b104 - 1.436936830729*m.b154 >= -1.436936830729) m.c1702 = Constraint(expr=m.x191**2 + m.x192**2 + m.x201**2 + m.x202**2 - 2*m.x191*m.x201 - 2*m.x192*m.x202 - 1.436936830729*m.b104 - 1.436936830729*m.b159 >= -1.436936830729) m.c1703 = Constraint(expr=m.x191**2 + m.x192**2 + m.x203**2 + m.x204**2 - 2*m.x191*m.x203 - 2*m.x192*m.x204 - 1.436936830729*m.b104 - 1.436936830729*m.b164 >= -1.436936830729) m.c1704 = Constraint(expr=m.x191**2 + m.x192**2 + m.x205**2 + m.x206**2 - 2*m.x191*m.x205 - 2*m.x192*m.x206 - 1.436936830729*m.b104 - 1.436936830729*m.b169 >= -1.436936830729) m.c1705 = Constraint(expr=m.x191**2 + m.x192**2 + m.x207**2 + m.x208**2 - 2*m.x191*m.x207 - 2*m.x192*m.x208 - 3.484990776969*m.b104 - 3.484990776969*m.b171 >= -3.484990776969) m.c1706 = Constraint(expr=m.x191**2 + m.x192**2 + m.x209**2 + m.x210**2 - 2*m.x191*m.x209 - 2*m.x192*m.x210 - 3.484990776969*m.b104 - 3.484990776969*m.b173 >= -3.484990776969) m.c1707 = Constraint(expr=m.x191**2 + m.x192**2 + m.x211**2 + m.x212**2 - 2*m.x191*m.x211 - 2*m.x192*m.x212 - 3.484990776969*m.b104 - 3.484990776969*m.b175 >= -3.484990776969) m.c1708 = Constraint(expr=m.x177**2 + m.x178**2 + m.x193**2 + m.x194**2 - 2*m.x178*m.x194 - 2*m.x177*m.x193 - 0.887203867225*m.b29 - 0.887203867225*m.b119 >= -0.887203867225) m.c1709 = Constraint(expr=m.x179**2 + m.x180**2 + m.x193**2 + m.x194**2 - 2*m.x179*m.x193 - 2*m.x180*m.x194 - 0.887203867225*m.b38 - 0.887203867225*m.b119 >= -0.887203867225) m.c1710 = Constraint(expr=m.x181**2 + m.x182**2 + m.x193**2 + m.x194**2 - 2*m.x182*m.x194 - 2*m.x181*m.x193 - 0.887203867225*m.b47 - 0.887203867225*m.b119 >= -0.887203867225) m.c1711 = Constraint(expr=m.x183**2 + m.x184**2 + m.x193**2 + m.x194**2 - 2*m.x184*m.x194 - 2*m.x183*m.x193 - 0.887203867225*m.b56 - 0.887203867225*m.b119 >= -0.887203867225) m.c1712 = Constraint(expr=m.x185**2 + m.x186**2 + m.x193**2 + m.x194**2 - 2*m.x185*m.x193 - 2*m.x186*m.x194 - 0.887203867225*m.b65 - 0.887203867225*m.b119 >= -0.887203867225) m.c1713 = Constraint(expr=m.x187**2 + m.x188**2 + m.x193**2 + m.x194**2 - 2*m.x187*m.x193 - 2*m.x188*m.x194 - 0.887203867225*m.b74 - 0.887203867225*m.b119 >= -0.887203867225) m.c1714 = Constraint(expr=m.x189**2 + m.x190**2 + m.x193**2 + m.x194**2 - 2*m.x189*m.x193 - 2*m.x190*m.x194 - 0.469370231236*m.b89 - 0.469370231236*m.b119 >= -0.469370231236) m.c1715 = Constraint(expr=m.x191**2 + m.x192**2 + m.x193**2 + m.x194**2 - 2*m.x191*m.x193 - 2*m.x192*m.x194 - 0.469370231236*m.b104 - 0.469370231236*m.b119 >= -0.469370231236) m.c1716 = Constraint(expr=m.x193**2 + m.x194**2 + m.x195**2 + m.x196**2 - 2*m.x193*m.x195 - 2*m.x194*m.x196 - 0.469370231236*m.b119 - 0.469370231236*m.b134 >= -0.469370231236) m.c1717 = Constraint(expr=m.x193**2 + m.x194**2 + m.x197**2 + m.x198**2 - 2*m.x193*m.x197 - 2*m.x194*m.x198 - 0.469370231236*m.b119 - 0.469370231236*m.b149 >= -0.469370231236) m.c1718 = Constraint(expr=m.x193**2 + m.x194**2 + m.x199**2 + m.x200**2 - 2*m.x193*m.x199 - 2*m.x194*m.x200 - 1.436936830729*m.b119 - 1.436936830729*m.b154 >= -1.436936830729) m.c1719 = Constraint(expr=m.x193**2 + m.x194**2 + m.x201**2 + m.x202**2 - 2*m.x193*m.x201 - 2*m.x194*m.x202 - 1.436936830729*m.b119 - 1.436936830729*m.b159 >= -1.436936830729) m.c1720 = Constraint(expr=m.x193**2 + m.x194**2 + m.x203**2 + m.x204**2 - 2*m.x193*m.x203 - 2*m.x194*m.x204 - 1.436936830729*m.b119 - 1.436936830729*m.b164 >= -1.436936830729) m.c1721 = Constraint(expr=m.x193**2 + m.x194**2 + m.x205**2 + m.x206**2 - 2*m.x193*m.x205 - 2*m.x194*m.x206 - 1.436936830729*m.b119 - 1.436936830729*m.b169 >= -1.436936830729) m.c1722 = Constraint(expr=m.x193**2 + m.x194**2 + m.x207**2 + m.x208**2 - 2*m.x193*m.x207 - 2*m.x194*m.x208 - 3.484990776969*m.b119 - 3.484990776969*m.b171 >= -3.484990776969) m.c1723 = Constraint(expr=m.x193**2 + m.x194**2 + m.x209**2 + m.x210**2 - 2*m.x193*m.x209 - 2*m.x194*m.x210 - 3.484990776969*m.b119 - 3.484990776969*m.b173 >= -3.484990776969) m.c1724 = Constraint(expr=m.x193**2 + m.x194**2 + m.x211**2 + m.x212**2 - 2*m.x193*m.x211 - 2*m.x194*m.x212 - 3.484990776969*m.b119 - 3.484990776969*m.b175 >= -3.484990776969) m.c1725 = Constraint(expr=m.x177**2 + m.x178**2 + m.x195**2 + m.x196**2 - 2*m.x177*m.x195 - 2*m.x178*m.x196 - 0.887203867225*m.b29 - 0.887203867225*m.b134 >= -0.887203867225) m.c1726 = Constraint(expr=m.x179**2 + m.x180**2 + m.x195**2 + m.x196**2 - 2*m.x180*m.x196 - 2*m.x179*m.x195 - 0.887203867225*m.b38 - 0.887203867225*m.b134 >= -0.887203867225) m.c1727 = Constraint(expr=m.x181**2 + m.x182**2 + m.x195**2 + m.x196**2 - 2*m.x182*m.x196 - 2*m.x181*m.x195 - 0.887203867225*m.b47 - 0.887203867225*m.b134 >= -0.887203867225) m.c1728 = Constraint(expr=m.x183**2 + m.x184**2 + m.x195**2 + m.x196**2 - 2*m.x183*m.x195 - 2*m.x184*m.x196 - 0.887203867225*m.b56 - 0.887203867225*m.b134 >= -0.887203867225) m.c1729 = Constraint(expr=m.x185**2 + m.x186**2 + m.x195**2 + m.x196**2 - 2*m.x186*m.x196 - 2*m.x185*m.x195 - 0.887203867225*m.b65 - 0.887203867225*m.b134 >= -0.887203867225) m.c1730 = Constraint(expr=m.x187**2 + m.x188**2 + m.x195**2 + m.x196**2 - 2*m.x187*m.x195 - 2*m.x188*m.x196 - 0.887203867225*m.b74 - 0.887203867225*m.b134 >= -0.887203867225) m.c1731 = Constraint(expr=m.x189**2 + m.x190**2 + m.x195**2 + m.x196**2 - 2*m.x189*m.x195 - 2*m.x190*m.x196 - 0.469370231236*m.b89 - 0.469370231236*m.b134 >= -0.469370231236) m.c1732 = Constraint(expr=m.x191**2 + m.x192**2 + m.x195**2 + m.x196**2 - 2*m.x191*m.x195 - 2*m.x192*m.x196 - 0.469370231236*m.b104 - 0.469370231236*m.b134 >= -0.469370231236) m.c1733 = Constraint(expr=m.x193**2 + m.x194**2 + m.x195**2 + m.x196**2 - 2*m.x193*m.x195 - 2*m.x194*m.x196 - 0.469370231236*m.b119 - 0.469370231236*m.b134 >= -0.469370231236) m.c1734 = Constraint(expr=m.x195**2 + m.x196**2 + m.x197**2 + m.x198**2 - 2*m.x195*m.x197 - 2*m.x196*m.x198 - 0.469370231236*m.b134 - 0.469370231236*m.b149 >= -0.469370231236) m.c1735 = Constraint(expr=m.x195**2 + m.x196**2 + m.x199**2 + m.x200**2 - 2*m.x195*m.x199 - 2*m.x196*m.x200 - 1.436936830729*m.b134 - 1.436936830729*m.b154 >= -1.436936830729) m.c1736 = Constraint(expr=m.x195**2 + m.x196**2 + m.x201**2 + m.x202**2 - 2*m.x195*m.x201 - 2*m.x196*m.x202 - 1.436936830729*m.b134 - 1.436936830729*m.b159 >= -1.436936830729) m.c1737 = Constraint(expr=m.x195**2 + m.x196**2 + m.x203**2 + m.x204**2 - 2*m.x195*m.x203 - 2*m.x196*m.x204 - 1.436936830729*m.b134 - 1.436936830729*m.b164 >= -1.436936830729) m.c1738 = Constraint(expr=m.x195**2 + m.x196**2 + m.x205**2 + m.x206**2 - 2*m.x195*m.x205 - 2*m.x196*m.x206 - 1.436936830729*m.b134 - 1.436936830729*m.b169 >= -1.436936830729) m.c1739 = Constraint(expr=m.x195**2 + m.x196**2 + m.x207**2 + m.x208**2 - 2*m.x195*m.x207 - 2*m.x196*m.x208 - 3.484990776969*m.b134 - 3.484990776969*m.b171 >= -3.484990776969) m.c1740 = Constraint(expr=m.x195**2 + m.x196**2 + m.x209**2 + m.x210**2 - 2*m.x195*m.x209 - 2*m.x196*m.x210 - 3.484990776969*m.b134 - 3.484990776969*m.b173 >= -3.484990776969) m.c1741 = Constraint(expr=m.x195**2 + m.x196**2 + m.x211**2 + m.x212**2 - 2*m.x195*m.x211 - 2*m.x196*m.x212 - 3.484990776969*m.b134 - 3.484990776969*m.b175 >= -3.484990776969) m.c1742 = Constraint(expr=m.x177**2 + m.x178**2 + m.x197**2 + m.x198**2 - 2*m.x177*m.x197 - 2*m.x178*m.x198 - 0.887203867225*m.b29 - 0.887203867225*m.b149 >= -0.887203867225) m.c1743 = Constraint(expr=m.x179**2 + m.x180**2 + m.x197**2 + m.x198**2 - 2*m.x180*m.x198 - 2*m.x179*m.x197 - 0.887203867225*m.b38 - 0.887203867225*m.b149 >= -0.887203867225) m.c1744 = Constraint(expr=m.x181**2 + m.x182**2 + m.x197**2 + m.x198**2 - 2*m.x182*m.x198 - 2*m.x181*m.x197 - 0.887203867225*m.b47 - 0.887203867225*m.b149 >= -0.887203867225) m.c1745 = Constraint(expr=m.x183**2 + m.x184**2 + m.x197**2 + m.x198**2 - 2*m.x183*m.x197 - 2*m.x184*m.x198 - 0.887203867225*m.b56 - 0.887203867225*m.b149 >= -0.887203867225) m.c1746 = Constraint(expr=m.x185**2 + m.x186**2 + m.x197**2 + m.x198**2 - 2*m.x186*m.x198 - 2*m.x185*m.x197 - 0.887203867225*m.b65 - 0.887203867225*m.b149 >= -0.887203867225) m.c1747 = Constraint(expr=m.x187**2 + m.x188**2 + m.x197**2 + m.x198**2 - 2*m.x187*m.x197 - 2*m.x188*m.x198 - 0.887203867225*m.b74 - 0.887203867225*m.b149 >= -0.887203867225) m.c1748 = Constraint(expr=m.x189**2 + m.x190**2 + m.x197**2 + m.x198**2 - 2*m.x189*m.x197 - 2*m.x190*m.x198 - 0.469370231236*m.b89 - 0.469370231236*m.b149 >= -0.469370231236) m.c1749 = Constraint(expr=m.x191**2 + m.x192**2 + m.x197**2 + m.x198**2 - 2*m.x191*m.x197 - 2*m.x192*m.x198 - 0.469370231236*m.b104 - 0.469370231236*m.b149 >= -0.469370231236) m.c1750 = Constraint(expr=m.x193**2 + m.x194**2 + m.x197**2 + m.x198**2 - 2*m.x193*m.x197 - 2*m.x194*m.x198 - 0.469370231236*m.b119 - 0.469370231236*m.b149 >= -0.469370231236) m.c1751 = Constraint(expr=m.x195**2 + m.x196**2 + m.x197**2 + m.x198**2 - 2*m.x195*m.x197 - 2*m.x196*m.x198 - 0.469370231236*m.b134 - 0.469370231236*m.b149 >= -0.469370231236) m.c1752 = Constraint(expr=m.x197**2 + m.x198**2 + m.x199**2 + m.x200**2 - 2*m.x197*m.x199 - 2*m.x198*m.x200 - 1.436936830729*m.b149 - 1.436936830729*m.b154 >= -1.436936830729) m.c1753 = Constraint(expr=m.x197**2 + m.x198**2 + m.x201**2 + m.x202**2 - 2*m.x197*m.x201 - 2*m.x198*m.x202 - 1.436936830729*m.b149 - 1.436936830729*m.b159 >= -1.436936830729) m.c1754 = Constraint(expr=m.x197**2 + m.x198**2 + m.x203**2 + m.x204**2 - 2*m.x197*m.x203 - 2*m.x198*m.x204 - 1.436936830729*m.b149 - 1.436936830729*m.b164 >= -1.436936830729) m.c1755 = Constraint(expr=m.x197**2 + m.x198**2 + m.x205**2 + m.x206**2 - 2*m.x197*m.x205 - 2*m.x198*m.x206 - 1.436936830729*m.b149 - 1.436936830729*m.b169 >= -1.436936830729) m.c1756 = Constraint(expr=m.x197**2 + m.x198**2 + m.x207**2 + m.x208**2 - 2*m.x197*m.x207 - 2*m.x198*m.x208 - 3.484990776969*m.b149 - 3.484990776969*m.b171 >= -3.484990776969) m.c1757 = Constraint(expr=m.x197**2 + m.x198**2 + m.x209**2 + m.x210**2 - 2*m.x197*m.x209 - 2*m.x198*m.x210 - 3.484990776969*m.b149 - 3.484990776969*m.b173 >= -3.484990776969) m.c1758 = Constraint(expr=m.x197**2 + m.x198**2 + m.x211**2 + m.x212**2 - 2*m.x197*m.x211 - 2*m.x198*m.x212 - 3.484990776969*m.b149 - 3.484990776969*m.b175 >= -3.484990776969) m.c1759 = Constraint(expr=m.x177**2 + m.x178**2 + m.x199**2 + m.x200**2 - 2*m.x178*m.x200 - 2*m.x177*m.x199 - 2.118573403024*m.b29 - 2.118573403024*m.b154 >= -2.118573403024) m.c1760 = Constraint(expr=m.x179**2 + m.x180**2 + m.x199**2 + m.x200**2 - 2*m.x180*m.x200 - 2*m.x179*m.x199 - 2.118573403024*m.b38 - 2.118573403024*m.b154 >= -2.118573403024) m.c1761 = Constraint(expr=m.x181**2 + m.x182**2 + m.x199**2 + m.x200**2 - 2*m.x181*m.x199 - 2*m.x182*m.x200 - 2.118573403024*m.b47 - 2.118573403024*m.b154 >= -2.118573403024) m.c1762 = Constraint(expr=m.x183**2 + m.x184**2 + m.x199**2 + m.x200**2 - 2*m.x184*m.x200 - 2*m.x183*m.x199 - 2.118573403024*m.b56 - 2.118573403024*m.b154 >= -2.118573403024) m.c1763 = Constraint(expr=m.x185**2 + m.x186**2 + m.x199**2 + m.x200**2 - 2*m.x186*m.x200 - 2*m.x185*m.x199 - 2.118573403024*m.b65 - 2.118573403024*m.b154 >= -2.118573403024) m.c1764 = Constraint(expr=m.x187**2 + m.x188**2 + m.x199**2 + m.x200**2 - 2*m.x187*m.x199 - 2*m.x188*m.x200 - 2.118573403024*m.b74 - 2.118573403024*m.b154 >= -2.118573403024) m.c1765 = Constraint(expr=m.x189**2 + m.x190**2 + m.x199**2 + m.x200**2 - 2*m.x189*m.x199 - 2*m.x190*m.x200 - 1.436936830729*m.b89 - 1.436936830729*m.b154 >= -1.436936830729) m.c1766 = Constraint(expr=m.x191**2 + m.x192**2 + m.x199**2 + m.x200**2 - 2*m.x191*m.x199 - 2*m.x192*m.x200 - 1.436936830729*m.b104 - 1.436936830729*m.b154 >= -1.436936830729) m.c1767 = Constraint(expr=m.x193**2 + m.x194**2 + m.x199**2 + m.x200**2 - 2*m.x193*m.x199 - 2*m.x194*m.x200 - 1.436936830729*m.b119 - 1.436936830729*m.b154 >= -1.436936830729) m.c1768 = Constraint(expr=m.x195**2 + m.x196**2 + m.x199**2 + m.x200**2 - 2*m.x195*m.x199 - 2*m.x196*m.x200 - 1.436936830729*m.b134 - 1.436936830729*m.b154 >= -1.436936830729) m.c1769 = Constraint(expr=m.x197**2 + m.x198**2 + m.x199**2 + m.x200**2 - 2*m.x197*m.x199 - 2*m.x198*m.x200 - 1.436936830729*m.b149 - 1.436936830729*m.b154 >= -1.436936830729) m.c1770 = Constraint(expr=m.x199**2 + m.x200**2 + m.x201**2 + m.x202**2 - 2*m.x199*m.x201 - 2*m.x200*m.x202 - 2.9321082756*m.b154 - 2.9321082756*m.b159 >= -2.9321082756) m.c1771 = Constraint(expr=m.x199**2 + m.x200**2 + m.x203**2 + m.x204**2 - 2*m.x199*m.x203 - 2*m.x200*m.x204 - 2.9321082756*m.b154 - 2.9321082756*m.b164 >= -2.9321082756) m.c1772 = Constraint(expr=m.x199**2 + m.x200**2 + m.x205**2 + m.x206**2 - 2*m.x199*m.x205 - 2*m.x200*m.x206 - 2.9321082756*m.b154 - 2.9321082756*m.b169 >= -2.9321082756) m.c1773 = Constraint(expr=m.x199**2 + m.x200**2 + m.x207**2 + m.x208**2 - 2*m.x199*m.x207 - 2*m.x200*m.x208 - 5.6664469849*m.b154 - 5.6664469849*m.b171 >= -5.6664469849) m.c1774 = Constraint(expr=m.x199**2 + m.x200**2 + m.x209**2 + m.x210**2 - 2*m.x199*m.x209 - 2*m.x200*m.x210 - 5.6664469849*m.b154 - 5.6664469849*m.b173 >= -5.6664469849) m.c1775 = Constraint(expr=m.x199**2 + m.x200**2 + m.x211**2 + m.x212**2 - 2*m.x199*m.x211 - 2*m.x200*m.x212 - 5.6664469849*m.b154 - 5.6664469849*m.b175 >= -5.6664469849) m.c1776 = Constraint(expr=m.x177**2 + m.x178**2 + m.x201**2 + m.x202**2 - 2*m.x178*m.x202 - 2*m.x177*m.x201 - 2.118573403024*m.b29 - 2.118573403024*m.b159 >= -2.118573403024) m.c1777 = Constraint(expr=m.x179**2 + m.x180**2 + m.x201**2 + m.x202**2 - 2*m.x179*m.x201 - 2*m.x180*m.x202 - 2.118573403024*m.b38 - 2.118573403024*m.b159 >= -2.118573403024) m.c1778 = Constraint(expr=m.x181**2 + m.x182**2 + m.x201**2 + m.x202**2 - 2*m.x182*m.x202 - 2*m.x181*m.x201 - 2.118573403024*m.b47 - 2.118573403024*m.b159 >= -2.118573403024) m.c1779 = Constraint(expr=m.x183**2 + m.x184**2 + m.x201**2 + m.x202**2 - 2*m.x184*m.x202 - 2*m.x183*m.x201 - 2.118573403024*m.b56 - 2.118573403024*m.b159 >= -2.118573403024) m.c1780 = Constraint(expr=m.x185**2 + m.x186**2 + m.x201**2 + m.x202**2 - 2*m.x185*m.x201 - 2*m.x186*m.x202 - 2.118573403024*m.b65 - 2.118573403024*m.b159 >= -2.118573403024) m.c1781 = Constraint(expr=m.x187**2 + m.x188**2 + m.x201**2 + m.x202**2 - 2*m.x187*m.x201 - 2*m.x188*m.x202 - 2.118573403024*m.b74 - 2.118573403024*m.b159 >= -2.118573403024) m.c1782 = Constraint(expr=m.x189**2 + m.x190**2 + m.x201**2 + m.x202**2 - 2*m.x189*m.x201 - 2*m.x190*m.x202 - 1.436936830729*m.b89 - 1.436936830729*m.b159 >= -1.436936830729) m.c1783 = Constraint(expr=m.x191**2 + m.x192**2 + m.x201**2 + m.x202**2 - 2*m.x191*m.x201 - 2*m.x192*m.x202 - 1.436936830729*m.b104 - 1.436936830729*m.b159 >= -1.436936830729) m.c1784 = Constraint(expr=m.x193**2 + m.x194**2 + m.x201**2 + m.x202**2 - 2*m.x193*m.x201 - 2*m.x194*m.x202 - 1.436936830729*m.b119 - 1.436936830729*m.b159 >= -1.436936830729) m.c1785 = Constraint(expr=m.x195**2 + m.x196**2 + m.x201**2 + m.x202**2 - 2*m.x195*m.x201 - 2*m.x196*m.x202 - 1.436936830729*m.b134 - 1.436936830729*m.b159 >= -1.436936830729) m.c1786 = Constraint(expr=m.x197**2 + m.x198**2 + m.x201**2 + m.x202**2 - 2*m.x197*m.x201 - 2*m.x198*m.x202 - 1.436936830729*m.b149 - 1.436936830729*m.b159 >= -1.436936830729) m.c1787 = Constraint(expr=m.x199**2 + m.x200**2 + m.x201**2 + m.x202**2 - 2*m.x199*m.x201 - 2*m.x200*m.x202 - 2.9321082756*m.b154 - 2.9321082756*m.b159 >= -2.9321082756) m.c1788 = Constraint(expr=m.x201**2 + m.x202**2 + m.x203**2 + m.x204**2 - 2*m.x201*m.x203 - 2*m.x202*m.x204 - 2.9321082756*m.b159 - 2.9321082756*m.b164 >= -2.9321082756) m.c1789 = Constraint(expr=m.x201**2 + m.x202**2 + m.x205**2 + m.x206**2 - 2*m.x201*m.x205 - 2*m.x202*m.x206 - 2.9321082756*m.b159 - 2.9321082756*m.b169 >= -2.9321082756) m.c1790 = Constraint(expr=m.x201**2 + m.x202**2 + m.x207**2 + m.x208**2 - 2*m.x201*m.x207 - 2*m.x202*m.x208 - 5.6664469849*m.b159 - 5.6664469849*m.b171 >= -5.6664469849) m.c1791 = Constraint(expr=m.x201**2 + m.x202**2 + m.x209**2 + m.x210**2 - 2*m.x201*m.x209 - 2*m.x202*m.x210 - 5.6664469849*m.b159 - 5.6664469849*m.b173 >= -5.6664469849) m.c1792 = Constraint(expr=m.x201**2 + m.x202**2 + m.x211**2 + m.x212**2 - 2*m.x201*m.x211 - 2*m.x202*m.x212 - 5.6664469849*m.b159 - 5.6664469849*m.b175 >= -5.6664469849) m.c1793 = Constraint(expr=m.x177**2 + m.x178**2 + m.x203**2 + m.x204**2 - 2*m.x177*m.x203 - 2*m.x178*m.x204 - 2.118573403024*m.b29 - 2.118573403024*m.b164 >= -2.118573403024) m.c1794 = Constraint(expr=m.x179**2 + m.x180**2 + m.x203**2 + m.x204**2 - 2*m.x180*m.x204 - 2*m.x179*m.x203 - 2.118573403024*m.b38 - 2.118573403024*m.b164 >= -2.118573403024) m.c1795 = Constraint(expr=m.x181**2 + m.x182**2 + m.x203**2 + m.x204**2 - 2*m.x182*m.x204 - 2*m.x181*m.x203 - 2.118573403024*m.b47 - 2.118573403024*m.b164 >= -2.118573403024) m.c1796 = Constraint(expr=m.x183**2 + m.x184**2 + m.x203**2 + m.x204**2 - 2*m.x183*m.x203 - 2*m.x184*m.x204 - 2.118573403024*m.b56 - 2.118573403024*m.b164 >= -2.118573403024) m.c1797 = Constraint(expr=m.x185**2 + m.x186**2 + m.x203**2 + m.x204**2 - 2*m.x186*m.x204 - 2*m.x185*m.x203 - 2.118573403024*m.b65 - 2.118573403024*m.b164 >= -2.118573403024) m.c1798 = Constraint(expr=m.x187**2 + m.x188**2 + m.x203**2 + m.x204**2 - 2*m.x187*m.x203 - 2*m.x188*m.x204 - 2.118573403024*m.b74 - 2.118573403024*m.b164 >= -2.118573403024) m.c1799 = Constraint(expr=m.x189**2 + m.x190**2 + m.x203**2 + m.x204**2 - 2*m.x189*m.x203 - 2*m.x190*m.x204 - 1.436936830729*m.b89 - 1.436936830729*m.b164 >= -1.436936830729) m.c1800 = Constraint(expr=m.x191**2 + m.x192**2 + m.x203**2 + m.x204**2 - 2*m.x191*m.x203 - 2*m.x192*m.x204 - 1.436936830729*m.b104 - 1.436936830729*m.b164 >= -1.436936830729) m.c1801 = Constraint(expr=m.x193**2 + m.x194**2 + m.x203**2 + m.x204**2 - 2*m.x193*m.x203 - 2*m.x194*m.x204 - 1.436936830729*m.b119 - 1.436936830729*m.b164 >= -1.436936830729) m.c1802 = Constraint(expr=m.x195**2 + m.x196**2 + m.x203**2 + m.x204**2 - 2*m.x195*m.x203 - 2*m.x196*m.x204 - 1.436936830729*m.b134 - 1.436936830729*m.b164 >= -1.436936830729) m.c1803 = Constraint(expr=m.x197**2 + m.x198**2 + m.x203**2 + m.x204**2 - 2*m.x197*m.x203 - 2*m.x198*m.x204 - 1.436936830729*m.b149 - 1.436936830729*m.b164 >= -1.436936830729) m.c1804 = Constraint(expr=m.x199**2 + m.x200**2 + m.x203**2 + m.x204**2 - 2*m.x199*m.x203 - 2*m.x200*m.x204 - 2.9321082756*m.b154 - 2.9321082756*m.b164 >= -2.9321082756) m.c1805 = Constraint(expr=m.x201**2 + m.x202**2 + m.x203**2 + m.x204**2 - 2*m.x201*m.x203 - 2*m.x202*m.x204 - 2.9321082756*m.b159 - 2.9321082756*m.b164 >= -2.9321082756) m.c1806 = Constraint(expr=m.x203**2 + m.x204**2 + m.x205**2 + m.x206**2 - 2*m.x203*m.x205 - 2*m.x204*m.x206 - 2.9321082756*m.b164 - 2.9321082756*m.b169 >= -2.9321082756) m.c1807 = Constraint(expr=m.x203**2 + m.x204**2 + m.x207**2 + m.x208**2 - 2*m.x203*m.x207 - 2*m.x204*m.x208 - 5.6664469849*m.b164 - 5.6664469849*m.b171 >= -5.6664469849) m.c1808 = Constraint(expr=m.x203**2 + m.x204**2 + m.x209**2 + m.x210**2 - 2*m.x203*m.x209 - 2*m.x204*m.x210 - 5.6664469849*m.b164 - 5.6664469849*m.b173 >= -5.6664469849) m.c1809 = Constraint(expr=m.x203**2 + m.x204**2 + m.x211**2 + m.x212**2 - 2*m.x203*m.x211 - 2*m.x204*m.x212 - 5.6664469849*m.b164 - 5.6664469849*m.b175 >= -5.6664469849) m.c1810 = Constraint(expr=m.x177**2 + m.x178**2 + m.x205**2 + m.x206**2 - 2*m.x178*m.x206 - 2*m.x177*m.x205 - 2.118573403024*m.b29 - 2.118573403024*m.b169 >= -2.118573403024) m.c1811 = Constraint(expr=m.x179**2 + m.x180**2 + m.x205**2 + m.x206**2 - 2*m.x179*m.x205 - 2*m.x180*m.x206 - 2.118573403024*m.b38 - 2.118573403024*m.b169 >= -2.118573403024) m.c1812 = Constraint(expr=m.x181**2 + m.x182**2 + m.x205**2 + m.x206**2 - 2*m.x182*m.x206 - 2*m.x181*m.x205 - 2.118573403024*m.b47 - 2.118573403024*m.b169 >= -2.118573403024) m.c1813 = Constraint(expr=m.x183**2 + m.x184**2 + m.x205**2 + m.x206**2 - 2*m.x184*m.x206 - 2*m.x183*m.x205 - 2.118573403024*m.b56 - 2.118573403024*m.b169 >= -2.118573403024) m.c1814 = Constraint(expr=m.x185**2 + m.x186**2 + m.x205**2 + m.x206**2 - 2*m.x185*m.x205 - 2*m.x186*m.x206 - 2.118573403024*m.b65 - 2.118573403024*m.b169 >= -2.118573403024) m.c1815 = Constraint(expr=m.x187**2 + m.x188**2 + m.x205**2 + m.x206**2 - 2*m.x187*m.x205 - 2*m.x188*m.x206 - 2.118573403024*m.b74 - 2.118573403024*m.b169 >= -2.118573403024) m.c1816 = Constraint(expr=m.x189**2 + m.x190**2 + m.x205**2 + m.x206**2 - 2*m.x189*m.x205 - 2*m.x190*m.x206 - 1.436936830729*m.b89 - 1.436936830729*m.b169 >= -1.436936830729) m.c1817 = Constraint(expr=m.x191**2 + m.x192**2 + m.x205**2 + m.x206**2 - 2*m.x191*m.x205 - 2*m.x192*m.x206 - 1.436936830729*m.b104 - 1.436936830729*m.b169 >= -1.436936830729) m.c1818 = Constraint(expr=m.x193**2 + m.x194**2 + m.x205**2 + m.x206**2 - 2*m.x193*m.x205 - 2*m.x194*m.x206 - 1.436936830729*m.b119 - 1.436936830729*m.b169 >= -1.436936830729) m.c1819 = Constraint(expr=m.x195**2 + m.x196**2 + m.x205**2 + m.x206**2 - 2*m.x195*m.x205 - 2*m.x196*m.x206 - 1.436936830729*m.b134 - 1.436936830729*m.b169 >= -1.436936830729) m.c1820 = Constraint(expr=m.x197**2 + m.x198**2 + m.x205**2 + m.x206**2 - 2*m.x197*m.x205 - 2*m.x198*m.x206 - 1.436936830729*m.b149 - 1.436936830729*m.b169 >= -1.436936830729) m.c1821 = Constraint(expr=m.x199**2 + m.x200**2 + m.x205**2 + m.x206**2 - 2*m.x199*m.x205 - 2*m.x200*m.x206 - 2.9321082756*m.b154 - 2.9321082756*m.b169 >= -2.9321082756) m.c1822 = Constraint(expr=m.x201**2 + m.x202**2 + m.x205**2 + m.x206**2 - 2*m.x201*m.x205 - 2*m.x202*m.x206 - 2.9321082756*m.b159 - 2.9321082756*m.b169 >= -2.9321082756) m.c1823 = Constraint(expr=m.x203**2 + m.x204**2 + m.x205**2 + m.x206**2 - 2*m.x203*m.x205 - 2*m.x204*m.x206 - 2.9321082756*m.b164 - 2.9321082756*m.b169 >= -2.9321082756) m.c1824 = Constraint(expr=m.x205**2 + m.x206**2 + m.x207**2 + m.x208**2 - 2*m.x205*m.x207 - 2*m.x206*m.x208 - 5.6664469849*m.b169 - 5.6664469849*m.b171 >= -5.6664469849) m.c1825 = Constraint(expr=m.x205**2 + m.x206**2 + m.x209**2 + m.x210**2 - 2*m.x205*m.x209 - 2*m.x206*m.x210 - 5.6664469849*m.b169 - 5.6664469849*m.b173 >= -5.6664469849) m.c1826 = Constraint(expr=m.x205**2 + m.x206**2 + m.x211**2 + m.x212**2 - 2*m.x205*m.x211 - 2*m.x206*m.x212 - 5.6664469849*m.b169 - 5.6664469849*m.b175 >= -5.6664469849) m.c1827 = Constraint(expr=m.x177**2 + m.x178**2 + m.x207**2 + m.x208**2 - 2*m.x177*m.x207 - 2*m.x178*m.x208 - 4.509770398884*m.b29 - 4.509770398884*m.b171 >= -4.509770398884) m.c1828 = Constraint(expr=m.x179**2 + m.x180**2 + m.x207**2 + m.x208**2 - 2*m.x180*m.x208 - 2*m.x179*m.x207 - 4.509770398884*m.b38 - 4.509770398884*m.b171 >= -4.509770398884) m.c1829 = Constraint(expr=m.x181**2 + m.x182**2 + m.x207**2 + m.x208**2 - 2*m.x182*m.x208 - 2*m.x181*m.x207 - 4.509770398884*m.b47 - 4.509770398884*m.b171 >= -4.509770398884) m.c1830 = Constraint(expr=m.x183**2 + m.x184**2 + m.x207**2 + m.x208**2 - 2*m.x183*m.x207 - 2*m.x184*m.x208 - 4.509770398884*m.b56 - 4.509770398884*m.b171 >= -4.509770398884) m.c1831 = Constraint(expr=m.x185**2 + m.x186**2 + m.x207**2 + m.x208**2 - 2*m.x186*m.x208 - 2*m.x185*m.x207 - 4.509770398884*m.b65 - 4.509770398884*m.b171 >= -4.509770398884) m.c1832 = Constraint(expr=m.x187**2 + m.x188**2 + m.x207**2 + m.x208**2 - 2*m.x187*m.x207 - 2*m.x188*m.x208 - 4.509770398884*m.b74 - 4.509770398884*m.b171 >= -4.509770398884) m.c1833 = Constraint(expr=m.x189**2 + m.x190**2 + m.x207**2 + m.x208**2 - 2*m.x189*m.x207 - 2*m.x190*m.x208 - 3.484990776969*m.b89 - 3.484990776969*m.b171 >= -3.484990776969) m.c1834 = Constraint(expr=m.x191**2 + m.x192**2 + m.x207**2 + m.x208**2 - 2*m.x191*m.x207 - 2*m.x192*m.x208 - 3.484990776969*m.b104 - 3.484990776969*m.b171 >= -3.484990776969) m.c1835 = Constraint(expr=m.x193**2 + m.x194**2 + m.x207**2 + m.x208**2 - 2*m.x193*m.x207 - 2*m.x194*m.x208 - 3.484990776969*m.b119 - 3.484990776969*m.b171 >= -3.484990776969) m.c1836 = Constraint(expr=m.x195**2 + m.x196**2 + m.x207**2 + m.x208**2 - 2*m.x195*m.x207 - 2*m.x196*m.x208 - 3.484990776969*m.b134 - 3.484990776969*m.b171 >= -3.484990776969) m.c1837 = Constraint(expr=m.x197**2 + m.x198**2 + m.x207**2 + m.x208**2 - 2*m.x197*m.x207 - 2*m.x198*m.x208 - 3.484990776969*m.b149 - 3.484990776969*m.b171 >= -3.484990776969) m.c1838 = Constraint(expr=m.x199**2 + m.x200**2 + m.x207**2 + m.x208**2 - 2*m.x199*m.x207 - 2*m.x200*m.x208 - 5.6664469849*m.b154 - 5.6664469849*m.b171 >= -5.6664469849) m.c1839 = Constraint(expr=m.x201**2 + m.x202**2 + m.x207**2 + m.x208**2 - 2*m.x201*m.x207 - 2*m.x202*m.x208 - 5.6664469849*m.b159 - 5.6664469849*m.b171 >= -5.6664469849) m.c1840 = Constraint(expr=m.x203**2 + m.x204**2 + m.x207**2 + m.x208**2 - 2*m.x203*m.x207 - 2*m.x204*m.x208 - 5.6664469849*m.b164 - 5.6664469849*m.b171 >= -5.6664469849) m.c1841 = Constraint(expr=m.x205**2 + m.x206**2 + m.x207**2 + m.x208**2 - 2*m.x205*m.x207 - 2*m.x206*m.x208 - 5.6664469849*m.b169 - 5.6664469849*m.b171 >= -5.6664469849) m.c1842 = Constraint(expr=m.x207**2 + m.x208**2 + m.x209**2 + m.x210**2 - 2*m.x207*m.x209 - 2*m.x208*m.x210 - 9.2934741904*m.b171 - 9.2934741904*m.b173 >= -9.2934741904) m.c1843 = Constraint(expr=m.x207**2 + m.x208**2 + m.x211**2 + m.x212**2 - 2*m.x207*m.x211 - 2*m.x208*m.x212 - 9.2934741904*m.b171 - 9.2934741904*m.b175 >= -9.2934741904) m.c1844 = Constraint(expr=m.x177**2 + m.x178**2 + m.x209**2 + m.x210**2 - 2*m.x178*m.x210 - 2*m.x177*m.x209 - 4.509770398884*m.b29 - 4.509770398884*m.b173 >= -4.509770398884) m.c1845 = Constraint(expr=m.x179**2 + m.x180**2 + m.x209**2 + m.x210**2 - 2*m.x180*m.x210 - 2*m.x179*m.x209 - 4.509770398884*m.b38 - 4.509770398884*m.b173 >= -4.509770398884) m.c1846 = Constraint(expr=m.x181**2 + m.x182**2 + m.x209**2 + m.x210**2 - 2*m.x181*m.x209 - 2*m.x182*m.x210 - 4.509770398884*m.b47 - 4.509770398884*m.b173 >= -4.509770398884) m.c1847 = Constraint(expr=m.x183**2 + m.x184**2 + m.x209**2 + m.x210**2 - 2*m.x184*m.x210 - 2*m.x183*m.x209 - 4.509770398884*m.b56 - 4.509770398884*m.b173 >= -4.509770398884) m.c1848 = Constraint(expr=m.x185**2 + m.x186**2 + m.x209**2 + m.x210**2 - 2*m.x186*m.x210 - 2*m.x185*m.x209 - 4.509770398884*m.b65 - 4.509770398884*m.b173 >= -4.509770398884) m.c1849 = Constraint(expr=m.x187**2 + m.x188**2 + m.x209**2 + m.x210**2 - 2*m.x187*m.x209 - 2*m.x188*m.x210 - 4.509770398884*m.b74 - 4.509770398884*m.b173 >= -4.509770398884) m.c1850 = Constraint(expr=m.x189**2 + m.x190**2 + m.x209**2 + m.x210**2 - 2*m.x189*m.x209 - 2*m.x190*m.x210 - 3.484990776969*m.b89 - 3.484990776969*m.b173 >= -3.484990776969) m.c1851 = Constraint(expr=m.x191**2 + m.x192**2 + m.x209**2 + m.x210**2 - 2*m.x191*m.x209 - 2*m.x192*m.x210 - 3.484990776969*m.b104 - 3.484990776969*m.b173 >= -3.484990776969) m.c1852 = Constraint(expr=m.x193**2 + m.x194**2 + m.x209**2 + m.x210**2 - 2*m.x193*m.x209 - 2*m.x194*m.x210 - 3.484990776969*m.b119 - 3.484990776969*m.b173 >= -3.484990776969) m.c1853 = Constraint(expr=m.x195**2 + m.x196**2 + m.x209**2 + m.x210**2 - 2*m.x195*m.x209 - 2*m.x196*m.x210 - 3.484990776969*m.b134 - 3.484990776969*m.b173 >= -3.484990776969) m.c1854 = Constraint(expr=m.x197**2 + m.x198**2 + m.x209**2 + m.x210**2 - 2*m.x197*m.x209 - 2*m.x198*m.x210 - 3.484990776969*m.b149 - 3.484990776969*m.b173 >= -3.484990776969) m.c1855 = Constraint(expr=m.x199**2 + m.x200**2 + m.x209**2 + m.x210**2 - 2*m.x199*m.x209 - 2*m.x200*m.x210 - 5.6664469849*m.b154 - 5.6664469849*m.b173 >= -5.6664469849) m.c1856 = Constraint(expr=m.x201**2 + m.x202**2 + m.x209**2 + m.x210**2 - 2*m.x201*m.x209 - 2*m.x202*m.x210 - 5.6664469849*m.b159 - 5.6664469849*m.b173 >= -5.6664469849) m.c1857 = Constraint(expr=m.x203**2 + m.x204**2 + m.x209**2 + m.x210**2 - 2*m.x203*m.x209 - 2*m.x204*m.x210 - 5.6664469849*m.b164 - 5.6664469849*m.b173 >= -5.6664469849) m.c1858 = Constraint(expr=m.x205**2 + m.x206**2 + m.x209**2 + m.x210**2 - 2*m.x205*m.x209 - 2*m.x206*m.x210 - 5.6664469849*m.b169 - 5.6664469849*m.b173 >= -5.6664469849) m.c1859 = Constraint(expr=m.x207**2 + m.x208**2 + m.x209**2 + m.x210**2 - 2*m.x207*m.x209 - 2*m.x208*m.x210 - 9.2934741904*m.b171 - 9.2934741904*m.b173 >= -9.2934741904) m.c1860 = Constraint(expr=m.x209**2 + m.x210**2 + m.x211**2 + m.x212**2 - 2*m.x209*m.x211 - 2*m.x210*m.x212 - 9.2934741904*m.b173 - 9.2934741904*m.b175 >= -9.2934741904) m.c1861 = Constraint(expr=m.x177**2 + m.x178**2 + m.x211**2 + m.x212**2 - 2*m.x177*m.x211 - 2*m.x178*m.x212 - 4.509770398884*m.b29 - 4.509770398884*m.b175 >= -4.509770398884) m.c1862 = Constraint(expr=m.x179**2 + m.x180**2 + m.x211**2 + m.x212**2 - 2*m.x179*m.x211 - 2*m.x180*m.x212 - 4.509770398884*m.b38 - 4.509770398884*m.b175 >= -4.509770398884) m.c1863 = Constraint(expr=m.x181**2 + m.x182**2 + m.x211**2 + m.x212**2 - 2*m.x182*m.x212 - 2*m.x181*m.x211 - 4.509770398884*m.b47 - 4.509770398884*m.b175 >= -4.509770398884) m.c1864 = Constraint(expr=m.x183**2 + m.x184**2 + m.x211**2 + m.x212**2 - 2*m.x184*m.x212 - 2*m.x183*m.x211 - 4.509770398884*m.b56 - 4.509770398884*m.b175 >= -4.509770398884) m.c1865 = Constraint(expr=m.x185**2 + m.x186**2 + m.x211**2 + m.x212**2 - 2*m.x185*m.x211 - 2*m.x186*m.x212 - 4.509770398884*m.b65 - 4.509770398884*m.b175 >= -4.509770398884) m.c1866 = Constraint(expr=m.x187**2 + m.x188**2 + m.x211**2 + m.x212**2 - 2*m.x187*m.x211 - 2*m.x188*m.x212 - 4.509770398884*m.b74 - 4.509770398884*m.b175 >= -4.509770398884) m.c1867 = Constraint(expr=m.x189**2 + m.x190**2 + m.x211**2 + m.x212**2 - 2*m.x189*m.x211 - 2*m.x190*m.x212 - 3.484990776969*m.b89 - 3.484990776969*m.b175 >= -3.484990776969) m.c1868 = Constraint(expr=m.x191**2 + m.x192**2 + m.x211**2 + m.x212**2 - 2*m.x191*m.x211 - 2*m.x192*m.x212 - 3.484990776969*m.b104 - 3.484990776969*m.b175 >= -3.484990776969) m.c1869 = Constraint(expr=m.x193**2 + m.x194**2 + m.x211**2 + m.x212**2 - 2*m.x193*m.x211 - 2*m.x194*m.x212 - 3.484990776969*m.b119 - 3.484990776969*m.b175 >= -3.484990776969) m.c1870 = Constraint(expr=m.x195**2 + m.x196**2 + m.x211**2 + m.x212**2 - 2*m.x195*m.x211 - 2*m.x196*m.x212 - 3.484990776969*m.b134 - 3.484990776969*m.b175 >= -3.484990776969) m.c1871 = Constraint(expr=m.x197**2 + m.x198**2 + m.x211**2 + m.x212**2 - 2*m.x197*m.x211 - 2*m.x198*m.x212 - 3.484990776969*m.b149 - 3.484990776969*m.b175 >= -3.484990776969) m.c1872 = Constraint(expr=m.x199**2 + m.x200**2 + m.x211**2 + m.x212**2 - 2*m.x199*m.x211 - 2*m.x200*m.x212 - 5.6664469849*m.b154 - 5.6664469849*m.b175 >= -5.6664469849) m.c1873 = Constraint(expr=m.x201**2 + m.x202**2 + m.x211**2 + m.x212**2 - 2*m.x201*m.x211 - 2*m.x202*m.x212 - 5.6664469849*m.b159 - 5.6664469849*m.b175 >= -5.6664469849) m.c1874 = Constraint(expr=m.x203**2 + m.x204**2 + m.x211**2 + m.x212**2 - 2*m.x203*m.x211 - 2*m.x204*m.x212 - 5.6664469849*m.b164 - 5.6664469849*m.b175 >= -5.6664469849) m.c1875 = Constraint(expr=m.x205**2 + m.x206**2 + m.x211**2 + m.x212**2 - 2*m.x205*m.x211 - 2*m.x206*m.x212 - 5.6664469849*m.b169 - 5.6664469849*m.b175 >= -5.6664469849) m.c1876 = Constraint(expr=m.x207**2 + m.x208**2 + m.x211**2 + m.x212**2 - 2*m.x207*m.x211 - 2*m.x208*m.x212 - 9.2934741904*m.b171 - 9.2934741904*m.b175 >= -9.2934741904) m.c1877 = Constraint(expr=m.x209**2 + m.x210**2 + m.x211**2 + m.x212**2 - 2*m.x209*m.x211 - 2*m.x210*m.x212 - 9.2934741904*m.b173 - 9.2934741904*m.b175 >= -9.2934741904) m.c1878 = Constraint(expr=m.x177**2 + m.x178**2 + m.x179**2 + m.x180**2 - 2*m.x177*m.x179 - 2*m.x178*m.x180 - 1.436939228176*m.b30 - 1.436939228176*m.b39 >= -1.436939228176) m.c1879 = Constraint(expr=m.x177**2 + m.x178**2 + m.x181**2 + m.x182**2 - 2*m.x177*m.x181 - 2*m.x178*m.x182 - 1.436939228176*m.b30 - 1.436939228176*m.b48 >= -1.436939228176) m.c1880 = Constraint(expr=m.x177**2 + m.x178**2 + m.x183**2 + m.x184**2 - 2*m.x177*m.x183 - 2*m.x178*m.x184 - 1.436939228176*m.b30 - 1.436939228176*m.b57 >= -1.436939228176) m.c1881 = Constraint(expr=m.x177**2 + m.x178**2 + m.x185**2 + m.x186**2 - 2*m.x177*m.x185 - 2*m.x178*m.x186 - 1.436939228176*m.b30 - 1.436939228176*m.b66 >= -1.436939228176) m.c1882 = Constraint(expr=m.x177**2 + m.x178**2 + m.x187**2 + m.x188**2 - 2*m.x178*m.x188 - 2*m.x177*m.x187 - 1.436939228176*m.b30 - 1.436939228176*m.b75 >= -1.436939228176) m.c1883 = Constraint(expr=m.x177**2 + m.x178**2 + m.x189**2 + m.x190**2 - 2*m.x177*m.x189 - 2*m.x178*m.x190 - 0.887203867225*m.b30 - 0.887203867225*m.b90 >= -0.887203867225) m.c1884 = Constraint(expr=m.x177**2 + m.x178**2 + m.x191**2 + m.x192**2 - 2*m.x178*m.x192 - 2*m.x177*m.x191 - 0.887203867225*m.b30 - 0.887203867225*m.b105 >= -0.887203867225) m.c1885 = Constraint(expr=m.x177**2 + m.x178**2 + m.x193**2 + m.x194**2 - 2*m.x178*m.x194 - 2*m.x177*m.x193 - 0.887203867225*m.b30 - 0.887203867225*m.b120 >= -0.887203867225) m.c1886 = Constraint(expr=m.x177**2 + m.x178**2 + m.x195**2 + m.x196**2 - 2*m.x177*m.x195 - 2*m.x178*m.x196 - 0.887203867225*m.b30 - 0.887203867225*m.b135 >= -0.887203867225) m.c1887 = Constraint(expr=m.x177**2 + m.x178**2 + m.x197**2 + m.x198**2 - 2*m.x177*m.x197 - 2*m.x178*m.x198 - 0.887203867225*m.b30 - 0.887203867225*m.b150 >= -0.887203867225) m.c1888 = Constraint(expr=m.x177**2 + m.x178**2 + m.x199**2 + m.x200**2 - 2*m.x178*m.x200 - 2*m.x177*m.x199 - 2.118573403024*m.b30 - 2.118573403024*m.b155 >= -2.118573403024) m.c1889 = Constraint(expr=m.x177**2 + m.x178**2 + m.x201**2 + m.x202**2 - 2*m.x178*m.x202 - 2*m.x177*m.x201 - 2.118573403024*m.b30 - 2.118573403024*m.b160 >= -2.118573403024) m.c1890 = Constraint(expr=m.x177**2 + m.x178**2 + m.x203**2 + m.x204**2 - 2*m.x177*m.x203 - 2*m.x178*m.x204 - 2.118573403024*m.b30 - 2.118573403024*m.b165 >= -2.118573403024) m.c1891 = Constraint(expr=m.x177**2 + m.x178**2 + m.x205**2 + m.x206**2 - 2*m.x178*m.x206 - 2*m.x177*m.x205 - 2.118573403024*m.b30 - 2.118573403024*m.b170 >= -2.118573403024) m.c1892 = Constraint(expr=m.x177**2 + m.x178**2 + m.x207**2 + m.x208**2 - 2*m.x177*m.x207 - 2*m.x178*m.x208 - 4.509770398884*m.b30 - 4.509770398884*m.b172 >= -4.509770398884) m.c1893 = Constraint(expr=m.x177**2 + m.x178**2 + m.x209**2 + m.x210**2 - 2*m.x178*m.x210 - 2*m.x177*m.x209 - 4.509770398884*m.b30 - 4.509770398884*m.b174 >= -4.509770398884) m.c1894 = Constraint(expr=m.x177**2 + m.x178**2 + m.x211**2 + m.x212**2 - 2*m.x178*m.x212 - 2*m.x177*m.x211 - 4.509770398884*m.b30 - 4.509770398884*m.b176 >= -4.509770398884) m.c1895 = Constraint(expr=m.x177**2 + m.x178**2 + m.x179**2 + m.x180**2 - 2*m.x177*m.x179 - 2*m.x178*m.x180 - 1.436939228176*m.b30 - 1.436939228176*m.b39 >= -1.436939228176) m.c1896 = Constraint(expr=m.x179**2 + m.x180**2 + m.x181**2 + m.x182**2 - 2*m.x179*m.x181 - 2*m.x180*m.x182 - 1.436939228176*m.b39 - 1.436939228176*m.b48 >= -1.436939228176) m.c1897 = Constraint(expr=m.x179**2 + m.x180**2 + m.x183**2 + m.x184**2 - 2*m.x179*m.x183 - 2*m.x180*m.x184 - 1.436939228176*m.b39 - 1.436939228176*m.b57 >= -1.436939228176) m.c1898 = Constraint(expr=m.x179**2 + m.x180**2 + m.x185**2 + m.x186**2 - 2*m.x179*m.x185 - 2*m.x180*m.x186 - 1.436939228176*m.b39 - 1.436939228176*m.b66 >= -1.436939228176) m.c1899 = Constraint(expr=m.x179**2 + m.x180**2 + m.x187**2 + m.x188**2 - 2*m.x179*m.x187 - 2*m.x180*m.x188 - 1.436939228176*m.b39 - 1.436939228176*m.b75 >= -1.436939228176) m.c1900 = Constraint(expr=m.x179**2 + m.x180**2 + m.x189**2 + m.x190**2 - 2*m.x180*m.x190 - 2*m.x179*m.x189 - 0.887203867225*m.b39 - 0.887203867225*m.b90 >= -0.887203867225) m.c1901 = Constraint(expr=m.x179**2 + m.x180**2 + m.x191**2 + m.x192**2 - 2*m.x180*m.x192 - 2*m.x179*m.x191 - 0.887203867225*m.b39 - 0.887203867225*m.b105 >= -0.887203867225) m.c1902 = Constraint(expr=m.x179**2 + m.x180**2 + m.x193**2 + m.x194**2 - 2*m.x179*m.x193 - 2*m.x180*m.x194 - 0.887203867225*m.b39 - 0.887203867225*m.b120 >= -0.887203867225) m.c1903 = Constraint(expr=m.x179**2 + m.x180**2 + m.x195**2 + m.x196**2 - 2*m.x180*m.x196 - 2*m.x179*m.x195 - 0.887203867225*m.b39 - 0.887203867225*m.b135 >= -0.887203867225) m.c1904 = Constraint(expr=m.x179**2 + m.x180**2 + m.x197**2 + m.x198**2 - 2*m.x180*m.x198 - 2*m.x179*m.x197 - 0.887203867225*m.b39 - 0.887203867225*m.b150 >= -0.887203867225) m.c1905 = Constraint(expr=m.x179**2 + m.x180**2 + m.x199**2 + m.x200**2 - 2*m.x180*m.x200 - 2*m.x179*m.x199 - 2.118573403024*m.b39 - 2.118573403024*m.b155 >= -2.118573403024) m.c1906 = Constraint(expr=m.x179**2 + m.x180**2 + m.x201**2 + m.x202**2 - 2*m.x179*m.x201 - 2*m.x180*m.x202 - 2.118573403024*m.b39 - 2.118573403024*m.b160 >= -2.118573403024) m.c1907 = Constraint(expr=m.x179**2 + m.x180**2 + m.x203**2 + m.x204**2 - 2*m.x180*m.x204 - 2*m.x179*m.x203 - 2.118573403024*m.b39 - 2.118573403024*m.b165 >= -2.118573403024) m.c1908 = Constraint(expr=m.x179**2 + m.x180**2 + m.x205**2 + m.x206**2 - 2*m.x179*m.x205 - 2*m.x180*m.x206 - 2.118573403024*m.b39 - 2.118573403024*m.b170 >= -2.118573403024) m.c1909 = Constraint(expr=m.x179**2 + m.x180**2 + m.x207**2 + m.x208**2 - 2*m.x180*m.x208 - 2*m.x179*m.x207 - 4.509770398884*m.b39 - 4.509770398884*m.b172 >= -4.509770398884) m.c1910 = Constraint(expr=m.x179**2 + m.x180**2 + m.x209**2 + m.x210**2 - 2*m.x179*m.x209 - 2*m.x180*m.x210 - 4.509770398884*m.b39 - 4.509770398884*m.b174 >= -4.509770398884) m.c1911 = Constraint(expr=m.x179**2 + m.x180**2 + m.x211**2 + m.x212**2 - 2*m.x179*m.x211 - 2*m.x180*m.x212 - 4.509770398884*m.b39 - 4.509770398884*m.b176 >= -4.509770398884) m.c1912 = Constraint(expr=m.x177**2 + m.x178**2 + m.x181**2 + m.x182**2 - 2*m.x177*m.x181 - 2*m.x178*m.x182 - 1.436939228176*m.b30 - 1.436939228176*m.b48 >= -1.436939228176) m.c1913 = Constraint(expr=m.x179**2 + m.x180**2 + m.x181**2 + m.x182**2 - 2*m.x179*m.x181 - 2*m.x180*m.x182 - 1.436939228176*m.b39 - 1.436939228176*m.b48 >= -1.436939228176) m.c1914 = Constraint(expr=m.x181**2 + m.x182**2 + m.x183**2 + m.x184**2 - 2*m.x181*m.x183 - 2*m.x182*m.x184 - 1.436939228176*m.b48 - 1.436939228176*m.b57 >= -1.436939228176) m.c1915 = Constraint(expr=m.x181**2 + m.x182**2 + m.x185**2 + m.x186**2 - 2*m.x181*m.x185 - 2*m.x182*m.x186 - 1.436939228176*m.b48 - 1.436939228176*m.b66 >= -1.436939228176) m.c1916 = Constraint(expr=m.x181**2 + m.x182**2 + m.x187**2 + m.x188**2 - 2*m.x182*m.x188 - 2*m.x181*m.x187 - 1.436939228176*m.b48 - 1.436939228176*m.b75 >= -1.436939228176) m.c1917 = Constraint(expr=m.x181**2 + m.x182**2 + m.x189**2 + m.x190**2 - 2*m.x182*m.x190 - 2*m.x181*m.x189 - 0.887203867225*m.b48 - 0.887203867225*m.b90 >= -0.887203867225) m.c1918 = Constraint(expr=m.x181**2 + m.x182**2 + m.x191**2 + m.x192**2 - 2*m.x181*m.x191 - 2*m.x182*m.x192 - 0.887203867225*m.b48 - 0.887203867225*m.b105 >= -0.887203867225) m.c1919 = Constraint(expr=m.x181**2 + m.x182**2 + m.x193**2 + m.x194**2 - 2*m.x182*m.x194 - 2*m.x181*m.x193 - 0.887203867225*m.b48 - 0.887203867225*m.b120 >= -0.887203867225) m.c1920 = Constraint(expr=m.x181**2 + m.x182**2 + m.x195**2 + m.x196**2 - 2*m.x182*m.x196 - 2*m.x181*m.x195 - 0.887203867225*m.b48 - 0.887203867225*m.b135 >= -0.887203867225) m.c1921 = Constraint(expr=m.x181**2 + m.x182**2 + m.x197**2 + m.x198**2 - 2*m.x182*m.x198 - 2*m.x181*m.x197 - 0.887203867225*m.b48 - 0.887203867225*m.b150 >= -0.887203867225) m.c1922 = Constraint(expr=m.x181**2 + m.x182**2 + m.x199**2 + m.x200**2 - 2*m.x181*m.x199 - 2*m.x182*m.x200 - 2.118573403024*m.b48 - 2.118573403024*m.b155 >= -2.118573403024) m.c1923 = Constraint(expr=m.x181**2 + m.x182**2 + m.x201**2 + m.x202**2 - 2*m.x182*m.x202 - 2*m.x181*m.x201 - 2.118573403024*m.b48 - 2.118573403024*m.b160 >= -2.118573403024) m.c1924 = Constraint(expr=m.x181**2 + m.x182**2 + m.x203**2 + m.x204**2 - 2*m.x182*m.x204 - 2*m.x181*m.x203 - 2.118573403024*m.b48 - 2.118573403024*m.b165 >= -2.118573403024) m.c1925 = Constraint(expr=m.x181**2 + m.x182**2 + m.x205**2 + m.x206**2 - 2*m.x182*m.x206 - 2*m.x181*m.x205 - 2.118573403024*m.b48 - 2.118573403024*m.b170 >= -2.118573403024) m.c1926 = Constraint(expr=m.x181**2 + m.x182**2 + m.x207**2 + m.x208**2 - 2*m.x182*m.x208 - 2*m.x181*m.x207 - 4.509770398884*m.b48 - 4.509770398884*m.b172 >= -4.509770398884) m.c1927 = Constraint(expr=m.x181**2 + m.x182**2 + m.x209**2 + m.x210**2 - 2*m.x181*m.x209 - 2*m.x182*m.x210 - 4.509770398884*m.b48 - 4.509770398884*m.b174 >= -4.509770398884) m.c1928 = Constraint(expr=m.x181**2 + m.x182**2 + m.x211**2 + m.x212**2 - 2*m.x182*m.x212 - 2*m.x181*m.x211 - 4.509770398884*m.b48 - 4.509770398884*m.b176 >= -4.509770398884) m.c1929 = Constraint(expr=m.x177**2 + m.x178**2 + m.x183**2 + m.x184**2 - 2*m.x177*m.x183 - 2*m.x178*m.x184 - 1.436939228176*m.b30 - 1.436939228176*m.b57 >= -1.436939228176) m.c1930 = Constraint(expr=m.x179**2 + m.x180**2 + m.x183**2 + m.x184**2 - 2*m.x179*m.x183 - 2*m.x180*m.x184 - 1.436939228176*m.b39 - 1.436939228176*m.b57 >= -1.436939228176) m.c1931 = Constraint(expr=m.x181**2 + m.x182**2 + m.x183**2 + m.x184**2 - 2*m.x181*m.x183 - 2*m.x182*m.x184 - 1.436939228176*m.b48 - 1.436939228176*m.b57 >= -1.436939228176) m.c1932 = Constraint(expr=m.x183**2 + m.x184**2 + m.x185**2 + m.x186**2 - 2*m.x183*m.x185 - 2*m.x184*m.x186 - 1.436939228176*m.b57 - 1.436939228176*m.b66 >= -1.436939228176) m.c1933 = Constraint(expr=m.x183**2 + m.x184**2 + m.x187**2 + m.x188**2 - 2*m.x184*m.x188 - 2*m.x183*m.x187 - 1.436939228176*m.b57 - 1.436939228176*m.b75 >= -1.436939228176) m.c1934 = Constraint(expr=m.x183**2 + m.x184**2 + m.x189**2 + m.x190**2 - 2*m.x183*m.x189 - 2*m.x184*m.x190 - 0.887203867225*m.b57 - 0.887203867225*m.b90 >= -0.887203867225) m.c1935 = Constraint(expr=m.x183**2 + m.x184**2 + m.x191**2 + m.x192**2 - 2*m.x184*m.x192 - 2*m.x183*m.x191 - 0.887203867225*m.b57 - 0.887203867225*m.b105 >= -0.887203867225) m.c1936 = Constraint(expr=m.x183**2 + m.x184**2 + m.x193**2 + m.x194**2 - 2*m.x184*m.x194 - 2*m.x183*m.x193 - 0.887203867225*m.b57 - 0.887203867225*m.b120 >= -0.887203867225) m.c1937 = Constraint(expr=m.x183**2 + m.x184**2 + m.x195**2 + m.x196**2 - 2*m.x183*m.x195 - 2*m.x184*m.x196 - 0.887203867225*m.b57 - 0.887203867225*m.b135 >= -0.887203867225) m.c1938 = Constraint(expr=m.x183**2 + m.x184**2 + m.x197**2 + m.x198**2 - 2*m.x183*m.x197 - 2*m.x184*m.x198 - 0.887203867225*m.b57 - 0.887203867225*m.b150 >= -0.887203867225) m.c1939 = Constraint(expr=m.x183**2 + m.x184**2 + m.x199**2 + m.x200**2 - 2*m.x183*m.x199 - 2*m.x184*m.x200 - 2.118573403024*m.b57 - 2.118573403024*m.b155 >= -2.118573403024) m.c1940 = Constraint(expr=m.x183**2 + m.x184**2 + m.x201**2 + m.x202**2 - 2*m.x184*m.x202 - 2*m.x183*m.x201 - 2.118573403024*m.b57 - 2.118573403024*m.b160 >= -2.118573403024) m.c1941 = Constraint(expr=m.x183**2 + m.x184**2 + m.x203**2 + m.x204**2 - 2*m.x183*m.x203 - 2*m.x184*m.x204 - 2.118573403024*m.b57 - 2.118573403024*m.b165 >= -2.118573403024) m.c1942 = Constraint(expr=m.x183**2 + m.x184**2 + m.x205**2 + m.x206**2 - 2*m.x184*m.x206 - 2*m.x183*m.x205 - 2.118573403024*m.b57 - 2.118573403024*m.b170 >= -2.118573403024) m.c1943 = Constraint(expr=m.x183**2 + m.x184**2 + m.x207**2 + m.x208**2 - 2*m.x183*m.x207 - 2*m.x184*m.x208 - 4.509770398884*m.b57 - 4.509770398884*m.b172 >= -4.509770398884) m.c1944 = Constraint(expr=m.x183**2 + m.x184**2 + m.x209**2 + m.x210**2 - 2*m.x184*m.x210 - 2*m.x183*m.x209 - 4.509770398884*m.b57 - 4.509770398884*m.b174 >= -4.509770398884) m.c1945 = Constraint(expr=m.x183**2 + m.x184**2 + m.x211**2 + m.x212**2 - 2*m.x184*m.x212 - 2*m.x183*m.x211 - 4.509770398884*m.b57 - 4.509770398884*m.b176 >= -4.509770398884) m.c1946 = Constraint(expr=m.x177**2 + m.x178**2 + m.x185**2 + m.x186**2 - 2*m.x177*m.x185 - 2*m.x178*m.x186 - 1.436939228176*m.b30 - 1.436939228176*m.b66 >= -1.436939228176) m.c1947 = Constraint(expr=m.x179**2 + m.x180**2 + m.x185**2 + m.x186**2 - 2*m.x179*m.x185 - 2*m.x180*m.x186 - 1.436939228176*m.b39 - 1.436939228176*m.b66 >= -1.436939228176) m.c1948 = Constraint(expr=m.x181**2 + m.x182**2 + m.x185**2 + m.x186**2 - 2*m.x181*m.x185 - 2*m.x182*m.x186 - 1.436939228176*m.b48 - 1.436939228176*m.b66 >= -1.436939228176) m.c1949 = Constraint(expr=m.x183**2 + m.x184**2 + m.x185**2 + m.x186**2 - 2*m.x183*m.x185 - 2*m.x184*m.x186 - 1.436939228176*m.b57 - 1.436939228176*m.b66 >= -1.436939228176) m.c1950 = Constraint(expr=m.x185**2 + m.x186**2 + m.x187**2 + m.x188**2 - 2*m.x185*m.x187 - 2*m.x186*m.x188 - 1.436939228176*m.b66 - 1.436939228176*m.b75 >= -1.436939228176) m.c1951 = Constraint(expr=m.x185**2 + m.x186**2 + m.x189**2 + m.x190**2 - 2*m.x186*m.x190 - 2*m.x185*m.x189 - 0.887203867225*m.b66 - 0.887203867225*m.b90 >= -0.887203867225) m.c1952 = Constraint(expr=m.x185**2 + m.x186**2 + m.x191**2 + m.x192**2 - 2*m.x186*m.x192 - 2*m.x185*m.x191 - 0.887203867225*m.b66 - 0.887203867225*m.b105 >= -0.887203867225) m.c1953 = Constraint(expr=m.x185**2 + m.x186**2 + m.x193**2 + m.x194**2 - 2*m.x185*m.x193 - 2*m.x186*m.x194 - 0.887203867225*m.b66 - 0.887203867225*m.b120 >= -0.887203867225) m.c1954 = Constraint(expr=m.x185**2 + m.x186**2 + m.x195**2 + m.x196**2 - 2*m.x186*m.x196 - 2*m.x185*m.x195 - 0.887203867225*m.b66 - 0.887203867225*m.b135 >= -0.887203867225) m.c1955 = Constraint(expr=m.x185**2 + m.x186**2 + m.x197**2 + m.x198**2 - 2*m.x186*m.x198 - 2*m.x185*m.x197 - 0.887203867225*m.b66 - 0.887203867225*m.b150 >= -0.887203867225) m.c1956 = Constraint(expr=m.x185**2 + m.x186**2 + m.x199**2 + m.x200**2 - 2*m.x186*m.x200 - 2*m.x185*m.x199 - 2.118573403024*m.b66 - 2.118573403024*m.b155 >= -2.118573403024) m.c1957 = Constraint(expr=m.x185**2 + m.x186**2 + m.x201**2 + m.x202**2 - 2*m.x185*m.x201 - 2*m.x186*m.x202 - 2.118573403024*m.b66 - 2.118573403024*m.b160 >= -2.118573403024) m.c1958 = Constraint(expr=m.x185**2 + m.x186**2 + m.x203**2 + m.x204**2 - 2*m.x186*m.x204 - 2*m.x185*m.x203 - 2.118573403024*m.b66 - 2.118573403024*m.b165 >= -2.118573403024) m.c1959 = Constraint(expr=m.x185**2 + m.x186**2 + m.x205**2 + m.x206**2 - 2*m.x185*m.x205 - 2*m.x186*m.x206 - 2.118573403024*m.b66 - 2.118573403024*m.b170 >= -2.118573403024) m.c1960 = Constraint(expr=m.x185**2 + m.x186**2 + m.x207**2 + m.x208**2 - 2*m.x186*m.x208 - 2*m.x185*m.x207 - 4.509770398884*m.b66 - 4.509770398884*m.b172 >= -4.509770398884) m.c1961 = Constraint(expr=m.x185**2 + m.x186**2 + m.x209**2 + m.x210**2 - 2*m.x186*m.x210 - 2*m.x185*m.x209 - 4.509770398884*m.b66 - 4.509770398884*m.b174 >= -4.509770398884) m.c1962 = Constraint(expr=m.x185**2 + m.x186**2 + m.x211**2 + m.x212**2 - 2*m.x185*m.x211 - 2*m.x186*m.x212 - 4.509770398884*m.b66 - 4.509770398884*m.b176 >= -4.509770398884) m.c1963 = Constraint(expr=m.x177**2 + m.x178**2 + m.x187**2 + m.x188**2 - 2*m.x178*m.x188 - 2*m.x177*m.x187 - 1.436939228176*m.b30 - 1.436939228176*m.b75 >= -1.436939228176) m.c1964 = Constraint(expr=m.x179**2 + m.x180**2 + m.x187**2 + m.x188**2 - 2*m.x179*m.x187 - 2*m.x180*m.x188 - 1.436939228176*m.b39 - 1.436939228176*m.b75 >= -1.436939228176) m.c1965 = Constraint(expr=m.x181**2 + m.x182**2 + m.x187**2 + m.x188**2 - 2*m.x182*m.x188 - 2*m.x181*m.x187 - 1.436939228176*m.b48 - 1.436939228176*m.b75 >= -1.436939228176) m.c1966 = Constraint(expr=m.x183**2 + m.x184**2 + m.x187**2 + m.x188**2 - 2*m.x184*m.x188 - 2*m.x183*m.x187 - 1.436939228176*m.b57 - 1.436939228176*m.b75 >= -1.436939228176) m.c1967 = Constraint(expr=m.x185**2 + m.x186**2 + m.x187**2 + m.x188**2 - 2*m.x185*m.x187 - 2*m.x186*m.x188 - 1.436939228176*m.b66 - 1.436939228176*m.b75 >= -1.436939228176) m.c1968 = Constraint(expr=m.x187**2 + m.x188**2 + m.x189**2 + m.x190**2 - 2*m.x187*m.x189 - 2*m.x188*m.x190 - 0.887203867225*m.b75 - 0.887203867225*m.b90 >= -0.887203867225) m.c1969 = Constraint(expr=m.x187**2 + m.x188**2 + m.x191**2 + m.x192**2 - 2*m.x187*m.x191 - 2*m.x188*m.x192 - 0.887203867225*m.b75 - 0.887203867225*m.b105 >= -0.887203867225) m.c1970 = Constraint(expr=m.x187**2 + m.x188**2 + m.x193**2 + m.x194**2 - 2*m.x187*m.x193 - 2*m.x188*m.x194 - 0.887203867225*m.b75 - 0.887203867225*m.b120 >= -0.887203867225) m.c1971 = Constraint(expr=m.x187**2 + m.x188**2 + m.x195**2 + m.x196**2 - 2*m.x187*m.x195 - 2*m.x188*m.x196 - 0.887203867225*m.b75 - 0.887203867225*m.b135 >= -0.887203867225) m.c1972 = Constraint(expr=m.x187**2 + m.x188**2 + m.x197**2 + m.x198**2 - 2*m.x187*m.x197 - 2*m.x188*m.x198 - 0.887203867225*m.b75 - 0.887203867225*m.b150 >= -0.887203867225) m.c1973 = Constraint(expr=m.x187**2 + m.x188**2 + m.x199**2 + m.x200**2 - 2*m.x187*m.x199 - 2*m.x188*m.x200 - 2.118573403024*m.b75 - 2.118573403024*m.b155 >= -2.118573403024) m.c1974 = Constraint(expr=m.x187**2 + m.x188**2 + m.x201**2 + m.x202**2 - 2*m.x187*m.x201 - 2*m.x188*m.x202 - 2.118573403024*m.b75 - 2.118573403024*m.b160 >= -2.118573403024) m.c1975 = Constraint(expr=m.x187**2 + m.x188**2 + m.x203**2 + m.x204**2 - 2*m.x187*m.x203 - 2*m.x188*m.x204 - 2.118573403024*m.b75 - 2.118573403024*m.b165 >= -2.118573403024) m.c1976 = Constraint(expr=m.x187**2 + m.x188**2 + m.x205**2 + m.x206**2 - 2*m.x187*m.x205 - 2*m.x188*m.x206 - 2.118573403024*m.b75 - 2.118573403024*m.b170 >= -2.118573403024) m.c1977 = Constraint(expr=m.x187**2 + m.x188**2 + m.x207**2 + m.x208**2 - 2*m.x187*m.x207 - 2*m.x188*m.x208 - 4.509770398884*m.b75 - 4.509770398884*m.b172 >= -4.509770398884) m.c1978 = Constraint(expr=m.x187**2 + m.x188**2 + m.x209**2 + m.x210**2 - 2*m.x187*m.x209 - 2*m.x188*m.x210 - 4.509770398884*m.b75 - 4.509770398884*m.b174 >= -4.509770398884) m.c1979 = Constraint(expr=m.x187**2 + m.x188**2 + m.x211**2 + m.x212**2 - 2*m.x187*m.x211 - 2*m.x188*m.x212 - 4.509770398884*m.b75 - 4.509770398884*m.b176 >= -4.509770398884) m.c1980 = Constraint(expr=m.x177**2 + m.x178**2 + m.x189**2 + m.x190**2 - 2*m.x177*m.x189 - 2*m.x178*m.x190 - 0.887203867225*m.b30 - 0.887203867225*m.b90 >= -0.887203867225) m.c1981 = Constraint(expr=m.x179**2 + m.x180**2 + m.x189**2 + m.x190**2 - 2*m.x180*m.x190 - 2*m.x179*m.x189 - 0.887203867225*m.b39 - 0.887203867225*m.b90 >= -0.887203867225) m.c1982 = Constraint(expr=m.x181**2 + m.x182**2 + m.x189**2 + m.x190**2 - 2*m.x182*m.x190 - 2*m.x181*m.x189 - 0.887203867225*m.b48 - 0.887203867225*m.b90 >= -0.887203867225) m.c1983 = Constraint(expr=m.x183**2 + m.x184**2 + m.x189**2 + m.x190**2 - 2*m.x183*m.x189 - 2*m.x184*m.x190 - 0.887203867225*m.b57 - 0.887203867225*m.b90 >= -0.887203867225) m.c1984 = Constraint(expr=m.x185**2 + m.x186**2 + m.x189**2 + m.x190**2 - 2*m.x186*m.x190 - 2*m.x185*m.x189 - 0.887203867225*m.b66 - 0.887203867225*m.b90 >= -0.887203867225) m.c1985 = Constraint(expr=m.x187**2 + m.x188**2 + m.x189**2 + m.x190**2 - 2*m.x187*m.x189 - 2*m.x188*m.x190 - 0.887203867225*m.b75 - 0.887203867225*m.b90 >= -0.887203867225) m.c1986 = Constraint(expr=m.x189**2 + m.x190**2 + m.x191**2 + m.x192**2 - 2*m.x189*m.x191 - 2*m.x190*m.x192 - 0.469370231236*m.b90 - 0.469370231236*m.b105 >= -0.469370231236) m.c1987 = Constraint(expr=m.x189**2 + m.x190**2 + m.x193**2 + m.x194**2 - 2*m.x189*m.x193 - 2*m.x190*m.x194 - 0.469370231236*m.b90 - 0.469370231236*m.b120 >= -0.469370231236) m.c1988 = Constraint(expr=m.x189**2 + m.x190**2 + m.x195**2 + m.x196**2 - 2*m.x189*m.x195 - 2*m.x190*m.x196 - 0.469370231236*m.b90 - 0.469370231236*m.b135 >= -0.469370231236) m.c1989 = Constraint(expr=m.x189**2 + m.x190**2 + m.x197**2 + m.x198**2 - 2*m.x189*m.x197 - 2*m.x190*m.x198 - 0.469370231236*m.b90 - 0.469370231236*m.b150 >= -0.469370231236) m.c1990 = Constraint(expr=m.x189**2 + m.x190**2 + m.x199**2 + m.x200**2 - 2*m.x189*m.x199 - 2*m.x190*m.x200 - 1.436936830729*m.b90 - 1.436936830729*m.b155 >= -1.436936830729) m.c1991 = Constraint(expr=m.x189**2 + m.x190**2 + m.x201**2 + m.x202**2 - 2*m.x189*m.x201 - 2*m.x190*m.x202 - 1.436936830729*m.b90 - 1.436936830729*m.b160 >= -1.436936830729) m.c1992 = Constraint(expr=m.x189**2 + m.x190**2 + m.x203**2 + m.x204**2 - 2*m.x189*m.x203 - 2*m.x190*m.x204 - 1.436936830729*m.b90 - 1.436936830729*m.b165 >= -1.436936830729) m.c1993 = Constraint(expr=m.x189**2 + m.x190**2 + m.x205**2 + m.x206**2 - 2*m.x189*m.x205 - 2*m.x190*m.x206 - 1.436936830729*m.b90 - 1.436936830729*m.b170 >= -1.436936830729) m.c1994 = Constraint(expr=m.x189**2 + m.x190**2 + m.x207**2 + m.x208**2 - 2*m.x189*m.x207 - 2*m.x190*m.x208 - 3.484990776969*m.b90 - 3.484990776969*m.b172 >= -3.484990776969) m.c1995 = Constraint(expr=m.x189**2 + m.x190**2 + m.x209**2 + m.x210**2 - 2*m.x189*m.x209 - 2*m.x190*m.x210 - 3.484990776969*m.b90 - 3.484990776969*m.b174 >= -3.484990776969) m.c1996 = Constraint(expr=m.x189**2 + m.x190**2 + m.x211**2 + m.x212**2 - 2*m.x189*m.x211 - 2*m.x190*m.x212 - 3.484990776969*m.b90 - 3.484990776969*m.b176 >= -3.484990776969) m.c1997 = Constraint(expr=m.x177**2 + m.x178**2 + m.x191**2 + m.x192**2 - 2*m.x178*m.x192 - 2*m.x177*m.x191 - 0.887203867225*m.b30 - 0.887203867225*m.b105 >= -0.887203867225) m.c1998 = Constraint(expr=m.x179**2 + m.x180**2 + m.x191**2 + m.x192**2 - 2*m.x180*m.x192 - 2*m.x179*m.x191 - 0.887203867225*m.b39 - 0.887203867225*m.b105 >= -0.887203867225) m.c1999 = Constraint(expr=m.x181**2 + m.x182**2 + m.x191**2 + m.x192**2 - 2*m.x181*m.x191 - 2*m.x182*m.x192 - 0.887203867225*m.b48 - 0.887203867225*m.b105 >= -0.887203867225) m.c2000 = Constraint(expr=m.x183**2 + m.x184**2 + m.x191**2 + m.x192**2 - 2*m.x184*m.x192 - 2*m.x183*m.x191 - 0.887203867225*m.b57 - 0.887203867225*m.b105 >= -0.887203867225) m.c2001 = Constraint(expr=m.x185**2 + m.x186**2 + m.x191**2 + m.x192**2 - 2*m.x186*m.x192 - 2*m.x185*m.x191 - 0.887203867225*m.b66 - 0.887203867225*m.b105 >= -0.887203867225) m.c2002 = Constraint(expr=m.x187**2 + m.x188**2 + m.x191**2 + m.x192**2 - 2*m.x187*m.x191 - 2*m.x188*m.x192 - 0.887203867225*m.b75 - 0.887203867225*m.b105 >= -0.887203867225) m.c2003 = Constraint(expr=m.x189**2 + m.x190**2 + m.x191**2 + m.x192**2 - 2*m.x189*m.x191 - 2*m.x190*m.x192 - 0.469370231236*m.b90 - 0.469370231236*m.b105 >= -0.469370231236) m.c2004 = Constraint(expr=m.x191**2 + m.x192**2 + m.x193**2 + m.x194**2 - 2*m.x191*m.x193 - 2*m.x192*m.x194 - 0.469370231236*m.b105 - 0.469370231236*m.b120 >= -0.469370231236) m.c2005 = Constraint(expr=m.x191**2 + m.x192**2 + m.x195**2 + m.x196**2 - 2*m.x191*m.x195 - 2*m.x192*m.x196 - 0.469370231236*m.b105 - 0.469370231236*m.b135 >= -0.469370231236) m.c2006 = Constraint(expr=m.x191**2 + m.x192**2 + m.x197**2 + m.x198**2 - 2*m.x191*m.x197 - 2*m.x192*m.x198 - 0.469370231236*m.b105 - 0.469370231236*m.b150 >= -0.469370231236) m.c2007 = Constraint(expr=m.x191**2 + m.x192**2 + m.x199**2 + m.x200**2 - 2*m.x191*m.x199 - 2*m.x192*m.x200 - 1.436936830729*m.b105 - 1.436936830729*m.b155 >= -1.436936830729) m.c2008 = Constraint(expr=m.x191**2 + m.x192**2 + m.x201**2 + m.x202**2 - 2*m.x191*m.x201 - 2*m.x192*m.x202 - 1.436936830729*m.b105 - 1.436936830729*m.b160 >= -1.436936830729) m.c2009 = Constraint(expr=m.x191**2 + m.x192**2 + m.x203**2 + m.x204**2 - 2*m.x191*m.x203 - 2*m.x192*m.x204 - 1.436936830729*m.b105 - 1.436936830729*m.b165 >= -1.436936830729) m.c2010 = Constraint(expr=m.x191**2 + m.x192**2 + m.x205**2 + m.x206**2 - 2*m.x191*m.x205 - 2*m.x192*m.x206 - 1.436936830729*m.b105 - 1.436936830729*m.b170 >= -1.436936830729) m.c2011 = Constraint(expr=m.x191**2 + m.x192**2 + m.x207**2 + m.x208**2 - 2*m.x191*m.x207 - 2*m.x192*m.x208 - 3.484990776969*m.b105 - 3.484990776969*m.b172 >= -3.484990776969) m.c2012 = Constraint(expr=m.x191**2 + m.x192**2 + m.x209**2 + m.x210**2 - 2*m.x191*m.x209 - 2*m.x192*m.x210 - 3.484990776969*m.b105 - 3.484990776969*m.b174 >= -3.484990776969) m.c2013 = Constraint(expr=m.x191**2 + m.x192**2 + m.x211**2 + m.x212**2 - 2*m.x191*m.x211 - 2*m.x192*m.x212 - 3.484990776969*m.b105 - 3.484990776969*m.b176 >= -3.484990776969) m.c2014 = Constraint(expr=m.x177**2 + m.x178**2 + m.x193**2 + m.x194**2 - 2*m.x178*m.x194 - 2*m.x177*m.x193 - 0.887203867225*m.b30 - 0.887203867225*m.b120 >= -0.887203867225) m.c2015 = Constraint(expr=m.x179**2 + m.x180**2 + m.x193**2 + m.x194**2 - 2*m.x179*m.x193 - 2*m.x180*m.x194 - 0.887203867225*m.b39 - 0.887203867225*m.b120 >= -0.887203867225) m.c2016 = Constraint(expr=m.x181**2 + m.x182**2 + m.x193**2 + m.x194**2 - 2*m.x182*m.x194 - 2*m.x181*m.x193 - 0.887203867225*m.b48 - 0.887203867225*m.b120 >= -0.887203867225) m.c2017 = Constraint(expr=m.x183**2 + m.x184**2 + m.x193**2 + m.x194**2 - 2*m.x184*m.x194 - 2*m.x183*m.x193 - 0.887203867225*m.b57 - 0.887203867225*m.b120 >= -0.887203867225) m.c2018 = Constraint(expr=m.x185**2 + m.x186**2 + m.x193**2 + m.x194**2 - 2*m.x185*m.x193 - 2*m.x186*m.x194 - 0.887203867225*m.b66 - 0.887203867225*m.b120 >= -0.887203867225) m.c2019 = Constraint(expr=m.x187**2 + m.x188**2 + m.x193**2 + m.x194**2 - 2*m.x187*m.x193 - 2*m.x188*m.x194 - 0.887203867225*m.b75 - 0.887203867225*m.b120 >= -0.887203867225) m.c2020 = Constraint(expr=m.x189**2 + m.x190**2 + m.x193**2 + m.x194**2 - 2*m.x189*m.x193 - 2*m.x190*m.x194 - 0.469370231236*m.b90 - 0.469370231236*m.b120 >= -0.469370231236) m.c2021 = Constraint(expr=m.x191**2 + m.x192**2 + m.x193**2 + m.x194**2 - 2*m.x191*m.x193 - 2*m.x192*m.x194 - 0.469370231236*m.b105 - 0.469370231236*m.b120 >= -0.469370231236) m.c2022 = Constraint(expr=m.x193**2 + m.x194**2 + m.x195**2 + m.x196**2 - 2*m.x193*m.x195 - 2*m.x194*m.x196 - 0.469370231236*m.b120 - 0.469370231236*m.b135 >= -0.469370231236) m.c2023 = Constraint(expr=m.x193**2 + m.x194**2 + m.x197**2 + m.x198**2 - 2*m.x193*m.x197 - 2*m.x194*m.x198 - 0.469370231236*m.b120 - 0.469370231236*m.b150 >= -0.469370231236) m.c2024 = Constraint(expr=m.x193**2 + m.x194**2 + m.x199**2 + m.x200**2 - 2*m.x193*m.x199 - 2*m.x194*m.x200 - 1.436936830729*m.b120 - 1.436936830729*m.b155 >= -1.436936830729) m.c2025 = Constraint(expr=m.x193**2 + m.x194**2 + m.x201**2 + m.x202**2 - 2*m.x193*m.x201 - 2*m.x194*m.x202 - 1.436936830729*m.b120 - 1.436936830729*m.b160 >= -1.436936830729) m.c2026 = Constraint(expr=m.x193**2 + m.x194**2 + m.x203**2 + m.x204**2 - 2*m.x193*m.x203 - 2*m.x194*m.x204 - 1.436936830729*m.b120 - 1.436936830729*m.b165 >= -1.436936830729) m.c2027 = Constraint(expr=m.x193**2 + m.x194**2 + m.x205**2 + m.x206**2 - 2*m.x193*m.x205 - 2*m.x194*m.x206 - 1.436936830729*m.b120 - 1.436936830729*m.b170 >= -1.436936830729) m.c2028 = Constraint(expr=m.x193**2 + m.x194**2 + m.x207**2 + m.x208**2 - 2*m.x193*m.x207 - 2*m.x194*m.x208 - 3.484990776969*m.b120 - 3.484990776969*m.b172 >= -3.484990776969) m.c2029 = Constraint(expr=m.x193**2 + m.x194**2 + m.x209**2 + m.x210**2 - 2*m.x193*m.x209 - 2*m.x194*m.x210 - 3.484990776969*m.b120 - 3.484990776969*m.b174 >= -3.484990776969) m.c2030 = Constraint(expr=m.x193**2 + m.x194**2 + m.x211**2 + m.x212**2 - 2*m.x193*m.x211 - 2*m.x194*m.x212 - 3.484990776969*m.b120 - 3.484990776969*m.b176 >= -3.484990776969) m.c2031 = Constraint(expr=m.x177**2 + m.x178**2 + m.x195**2 + m.x196**2 - 2*m.x177*m.x195 - 2*m.x178*m.x196 - 0.887203867225*m.b30 - 0.887203867225*m.b135 >= -0.887203867225) m.c2032 = Constraint(expr=m.x179**2 + m.x180**2 + m.x195**2 + m.x196**2 - 2*m.x180*m.x196 - 2*m.x179*m.x195 - 0.887203867225*m.b39 - 0.887203867225*m.b135 >= -0.887203867225) m.c2033 = Constraint(expr=m.x181**2 + m.x182**2 + m.x195**2 + m.x196**2 - 2*m.x182*m.x196 - 2*m.x181*m.x195 - 0.887203867225*m.b48 - 0.887203867225*m.b135 >= -0.887203867225) m.c2034 = Constraint(expr=m.x183**2 + m.x184**2 + m.x195**2 + m.x196**2 - 2*m.x183*m.x195 - 2*m.x184*m.x196 - 0.887203867225*m.b57 - 0.887203867225*m.b135 >= -0.887203867225) m.c2035 = Constraint(expr=m.x185**2 + m.x186**2 + m.x195**2 + m.x196**2 - 2*m.x186*m.x196 - 2*m.x185*m.x195 - 0.887203867225*m.b66 - 0.887203867225*m.b135 >= -0.887203867225) m.c2036 = Constraint(expr=m.x187**2 + m.x188**2 + m.x195**2 + m.x196**2 - 2*m.x187*m.x195 - 2*m.x188*m.x196 - 0.887203867225*m.b75 - 0.887203867225*m.b135 >= -0.887203867225) m.c2037 = Constraint(expr=m.x189**2 + m.x190**2 + m.x195**2 + m.x196**2 - 2*m.x189*m.x195 - 2*m.x190*m.x196 - 0.469370231236*m.b90 - 0.469370231236*m.b135 >= -0.469370231236) m.c2038 = Constraint(expr=m.x191**2 + m.x192**2 + m.x195**2 + m.x196**2 - 2*m.x191*m.x195 - 2*m.x192*m.x196 - 0.469370231236*m.b105 - 0.469370231236*m.b135 >= -0.469370231236) m.c2039 = Constraint(expr=m.x193**2 + m.x194**2 + m.x195**2 + m.x196**2 - 2*m.x193*m.x195 - 2*m.x194*m.x196 - 0.469370231236*m.b120 - 0.469370231236*m.b135 >= -0.469370231236) m.c2040 = Constraint(expr=m.x195**2 + m.x196**2 + m.x197**2 + m.x198**2 - 2*m.x195*m.x197 - 2*m.x196*m.x198 - 0.469370231236*m.b135 - 0.469370231236*m.b150 >= -0.469370231236) m.c2041 = Constraint(expr=m.x195**2 + m.x196**2 + m.x199**2 + m.x200**2 - 2*m.x195*m.x199 - 2*m.x196*m.x200 - 1.436936830729*m.b135 - 1.436936830729*m.b155 >= -1.436936830729) m.c2042 = Constraint(expr=m.x195**2 + m.x196**2 + m.x201**2 + m.x202**2 - 2*m.x195*m.x201 - 2*m.x196*m.x202 - 1.436936830729*m.b135 - 1.436936830729*m.b160 >= -1.436936830729) m.c2043 = Constraint(expr=m.x195**2 + m.x196**2 + m.x203**2 + m.x204**2 - 2*m.x195*m.x203 - 2*m.x196*m.x204 - 1.436936830729*m.b135 - 1.436936830729*m.b165 >= -1.436936830729) m.c2044 = Constraint(expr=m.x195**2 + m.x196**2 + m.x205**2 + m.x206**2 - 2*m.x195*m.x205 - 2*m.x196*m.x206 - 1.436936830729*m.b135 - 1.436936830729*m.b170 >= -1.436936830729) m.c2045 = Constraint(expr=m.x195**2 + m.x196**2 + m.x207**2 + m.x208**2 - 2*m.x195*m.x207 - 2*m.x196*m.x208 - 3.484990776969*m.b135 - 3.484990776969*m.b172 >= -3.484990776969) m.c2046 = Constraint(expr=m.x195**2 + m.x196**2 + m.x209**2 + m.x210**2 - 2*m.x195*m.x209 - 2*m.x196*m.x210 - 3.484990776969*m.b135 - 3.484990776969*m.b174 >= -3.484990776969) m.c2047 = Constraint(expr=m.x195**2 + m.x196**2 + m.x211**2 + m.x212**2 - 2*m.x195*m.x211 - 2*m.x196*m.x212 - 3.484990776969*m.b135 - 3.484990776969*m.b176 >= -3.484990776969) m.c2048 = Constraint(expr=m.x177**2 + m.x178**2 + m.x197**2 + m.x198**2 - 2*m.x177*m.x197 - 2*m.x178*m.x198 - 0.887203867225*m.b30 - 0.887203867225*m.b150 >= -0.887203867225) m.c2049 = Constraint(expr=m.x179**2 + m.x180**2 + m.x197**2 + m.x198**2 - 2*m.x180*m.x198 - 2*m.x179*m.x197 - 0.887203867225*m.b39 - 0.887203867225*m.b150 >= -0.887203867225) m.c2050 = Constraint(expr=m.x181**2 + m.x182**2 + m.x197**2 + m.x198**2 - 2*m.x182*m.x198 - 2*m.x181*m.x197 - 0.887203867225*m.b48 - 0.887203867225*m.b150 >= -0.887203867225) m.c2051 = Constraint(expr=m.x183**2 + m.x184**2 + m.x197**2 + m.x198**2 - 2*m.x183*m.x197 - 2*m.x184*m.x198 - 0.887203867225*m.b57 - 0.887203867225*m.b150 >= -0.887203867225) m.c2052 = Constraint(expr=m.x185**2 + m.x186**2 + m.x197**2 + m.x198**2 - 2*m.x186*m.x198 - 2*m.x185*m.x197 - 0.887203867225*m.b66 - 0.887203867225*m.b150 >= -0.887203867225) m.c2053 = Constraint(expr=m.x187**2 + m.x188**2 + m.x197**2 + m.x198**2 - 2*m.x187*m.x197 - 2*m.x188*m.x198 - 0.887203867225*m.b75 - 0.887203867225*m.b150 >= -0.887203867225) m.c2054 = Constraint(expr=m.x189**2 + m.x190**2 + m.x197**2 + m.x198**2 - 2*m.x189*m.x197 - 2*m.x190*m.x198 - 0.469370231236*m.b90 - 0.469370231236*m.b150 >= -0.469370231236) m.c2055 = Constraint(expr=m.x191**2 + m.x192**2 + m.x197**2 + m.x198**2 - 2*m.x191*m.x197 - 2*m.x192*m.x198 - 0.469370231236*m.b105 - 0.469370231236*m.b150 >= -0.469370231236) m.c2056 = Constraint(expr=m.x193**2 + m.x194**2 + m.x197**2 + m.x198**2 - 2*m.x193*m.x197 - 2*m.x194*m.x198 - 0.469370231236*m.b120 - 0.469370231236*m.b150 >= -0.469370231236) m.c2057 = Constraint(expr=m.x195**2 + m.x196**2 + m.x197**2 + m.x198**2 - 2*m.x195*m.x197 - 2*m.x196*m.x198 - 0.469370231236*m.b135 - 0.469370231236*m.b150 >= -0.469370231236) m.c2058 = Constraint(expr=m.x197**2 + m.x198**2 + m.x199**2 + m.x200**2 - 2*m.x197*m.x199 - 2*m.x198*m.x200 - 1.436936830729*m.b150 - 1.436936830729*m.b155 >= -1.436936830729) m.c2059 = Constraint(expr=m.x197**2 + m.x198**2 + m.x201**2 + m.x202**2 - 2*m.x197*m.x201 - 2*m.x198*m.x202 - 1.436936830729*m.b150 - 1.436936830729*m.b160 >= -1.436936830729) m.c2060 = Constraint(expr=m.x197**2 + m.x198**2 + m.x203**2 + m.x204**2 - 2*m.x197*m.x203 - 2*m.x198*m.x204 - 1.436936830729*m.b150 - 1.436936830729*m.b165 >= -1.436936830729) m.c2061 = Constraint(expr=m.x197**2 + m.x198**2 + m.x205**2 + m.x206**2 - 2*m.x197*m.x205 - 2*m.x198*m.x206 - 1.436936830729*m.b150 - 1.436936830729*m.b170 >= -1.436936830729) m.c2062 = Constraint(expr=m.x197**2 + m.x198**2 + m.x207**2 + m.x208**2 - 2*m.x197*m.x207 - 2*m.x198*m.x208 - 3.484990776969*m.b150 - 3.484990776969*m.b172 >= -3.484990776969) m.c2063 = Constraint(expr=m.x197**2 + m.x198**2 + m.x209**2 + m.x210**2 - 2*m.x197*m.x209 - 2*m.x198*m.x210 - 3.484990776969*m.b150 - 3.484990776969*m.b174 >= -3.484990776969) m.c2064 = Constraint(expr=m.x197**2 + m.x198**2 + m.x211**2 + m.x212**2 - 2*m.x197*m.x211 - 2*m.x198*m.x212 - 3.484990776969*m.b150 - 3.484990776969*m.b176 >= -3.484990776969) m.c2065 = Constraint(expr=m.x177**2 + m.x178**2 + m.x199**2 + m.x200**2 - 2*m.x178*m.x200 - 2*m.x177*m.x199 - 2.118573403024*m.b30 - 2.118573403024*m.b155 >= -2.118573403024) m.c2066 = Constraint(expr=m.x179**2 + m.x180**2 + m.x199**2 + m.x200**2 - 2*m.x180*m.x200 - 2*m.x179*m.x199 - 2.118573403024*m.b39 - 2.118573403024*m.b155 >= -2.118573403024) m.c2067 = Constraint(expr=m.x181**2 + m.x182**2 + m.x199**2 + m.x200**2 - 2*m.x181*m.x199 - 2*m.x182*m.x200 - 2.118573403024*m.b48 - 2.118573403024*m.b155 >= -2.118573403024) m.c2068 = Constraint(expr=m.x183**2 + m.x184**2 + m.x199**2 + m.x200**2 - 2*m.x183*m.x199 - 2*m.x184*m.x200 - 2.118573403024*m.b57 - 2.118573403024*m.b155 >= -2.118573403024) m.c2069 = Constraint(expr=m.x185**2 + m.x186**2 + m.x199**2 + m.x200**2 - 2*m.x186*m.x200 - 2*m.x185*m.x199 - 2.118573403024*m.b66 - 2.118573403024*m.b155 >= -2.118573403024) m.c2070 = Constraint(expr=m.x187**2 + m.x188**2 + m.x199**2 + m.x200**2 - 2*m.x187*m.x199 - 2*m.x188*m.x200 - 2.118573403024*m.b75 - 2.118573403024*m.b155 >= -2.118573403024) m.c2071 = Constraint(expr=m.x189**2 + m.x190**2 + m.x199**2 + m.x200**2 - 2*m.x189*m.x199 - 2*m.x190*m.x200 - 1.436936830729*m.b90 - 1.436936830729*m.b155 >= -1.436936830729) m.c2072 = Constraint(expr=m.x191**2 + m.x192**2 + m.x199**2 + m.x200**2 - 2*m.x191*m.x199 - 2*m.x192*m.x200 - 1.436936830729*m.b105 - 1.436936830729*m.b155 >= -1.436936830729) m.c2073 = Constraint(expr=m.x193**2 + m.x194**2 + m.x199**2 + m.x200**2 - 2*m.x193*m.x199 - 2*m.x194*m.x200 - 1.436936830729*m.b120 - 1.436936830729*m.b155 >= -1.436936830729) m.c2074 = Constraint(expr=m.x195**2 + m.x196**2 + m.x199**2 + m.x200**2 - 2*m.x195*m.x199 - 2*m.x196*m.x200 - 1.436936830729*m.b135 - 1.436936830729*m.b155 >= -1.436936830729) m.c2075 = Constraint(expr=m.x197**2 + m.x198**2 + m.x199**2 + m.x200**2 - 2*m.x197*m.x199 - 2*m.x198*m.x200 - 1.436936830729*m.b150 - 1.436936830729*m.b155 >= -1.436936830729) m.c2076 = Constraint(expr=m.x199**2 + m.x200**2 + m.x201**2 + m.x202**2 - 2*m.x199*m.x201 - 2*m.x200*m.x202 - 2.9321082756*m.b155 - 2.9321082756*m.b160 >= -2.9321082756) m.c2077 = Constraint(expr=m.x199**2 + m.x200**2 + m.x203**2 + m.x204**2 - 2*m.x199*m.x203 - 2*m.x200*m.x204 - 2.9321082756*m.b155 - 2.9321082756*m.b165 >= -2.9321082756) m.c2078 = Constraint(expr=m.x199**2 + m.x200**2 + m.x205**2 + m.x206**2 - 2*m.x199*m.x205 - 2*m.x200*m.x206 - 2.9321082756*m.b155 - 2.9321082756*m.b170 >= -2.9321082756) m.c2079 = Constraint(expr=m.x199**2 + m.x200**2 + m.x207**2 + m.x208**2 - 2*m.x199*m.x207 - 2*m.x200*m.x208 - 5.6664469849*m.b155 - 5.6664469849*m.b172 >= -5.6664469849) m.c2080 = Constraint(expr=m.x199**2 + m.x200**2 + m.x209**2 + m.x210**2 - 2*m.x199*m.x209 - 2*m.x200*m.x210 - 5.6664469849*m.b155 - 5.6664469849*m.b174 >= -5.6664469849) m.c2081 = Constraint(expr=m.x199**2 + m.x200**2 + m.x211**2 + m.x212**2 - 2*m.x199*m.x211 - 2*m.x200*m.x212 - 5.6664469849*m.b155 - 5.6664469849*m.b176 >= -5.6664469849) m.c2082 = Constraint(expr=m.x177**2 + m.x178**2 + m.x201**2 + m.x202**2 - 2*m.x178*m.x202 - 2*m.x177*m.x201 - 2.118573403024*m.b30 - 2.118573403024*m.b160 >= -2.118573403024) m.c2083 = Constraint(expr=m.x179**2 + m.x180**2 + m.x201**2 + m.x202**2 - 2*m.x179*m.x201 - 2*m.x180*m.x202 - 2.118573403024*m.b39 - 2.118573403024*m.b160 >= -2.118573403024) m.c2084 = Constraint(expr=m.x181**2 + m.x182**2 + m.x201**2 + m.x202**2 - 2*m.x182*m.x202 - 2*m.x181*m.x201 - 2.118573403024*m.b48 - 2.118573403024*m.b160 >= -2.118573403024) m.c2085 = Constraint(expr=m.x183**2 + m.x184**2 + m.x201**2 + m.x202**2 - 2*m.x184*m.x202 - 2*m.x183*m.x201 - 2.118573403024*m.b57 - 2.118573403024*m.b160 >= -2.118573403024) m.c2086 = Constraint(expr=m.x185**2 + m.x186**2 + m.x201**2 + m.x202**2 - 2*m.x185*m.x201 - 2*m.x186*m.x202 - 2.118573403024*m.b66 - 2.118573403024*m.b160 >= -2.118573403024) m.c2087 = Constraint(expr=m.x187**2 + m.x188**2 + m.x201**2 + m.x202**2 - 2*m.x187*m.x201 - 2*m.x188*m.x202 - 2.118573403024*m.b75 - 2.118573403024*m.b160 >= -2.118573403024) m.c2088 = Constraint(expr=m.x189**2 + m.x190**2 + m.x201**2 + m.x202**2 - 2*m.x189*m.x201 - 2*m.x190*m.x202 - 1.436936830729*m.b90 - 1.436936830729*m.b160 >= -1.436936830729) m.c2089 = Constraint(expr=m.x191**2 + m.x192**2 + m.x201**2 + m.x202**2 - 2*m.x191*m.x201 - 2*m.x192*m.x202 - 1.436936830729*m.b105 - 1.436936830729*m.b160 >= -1.436936830729) m.c2090 = Constraint(expr=m.x193**2 + m.x194**2 + m.x201**2 + m.x202**2 - 2*m.x193*m.x201 - 2*m.x194*m.x202 - 1.436936830729*m.b120 - 1.436936830729*m.b160 >= -1.436936830729) m.c2091 = Constraint(expr=m.x195**2 + m.x196**2 + m.x201**2 + m.x202**2 - 2*m.x195*m.x201 - 2*m.x196*m.x202 - 1.436936830729*m.b135 - 1.436936830729*m.b160 >= -1.436936830729) m.c2092 = Constraint(expr=m.x197**2 + m.x198**2 + m.x201**2 + m.x202**2 - 2*m.x197*m.x201 - 2*m.x198*m.x202 - 1.436936830729*m.b150 - 1.436936830729*m.b160 >= -1.436936830729) m.c2093 = Constraint(expr=m.x199**2 + m.x200**2 + m.x201**2 + m.x202**2 - 2*m.x199*m.x201 - 2*m.x200*m.x202 - 2.9321082756*m.b155 - 2.9321082756*m.b160 >= -2.9321082756) m.c2094 = Constraint(expr=m.x201**2 + m.x202**2 + m.x203**2 + m.x204**2 - 2*m.x201*m.x203 - 2*m.x202*m.x204 - 2.9321082756*m.b160 - 2.9321082756*m.b165 >= -2.9321082756) m.c2095 = Constraint(expr=m.x201**2 + m.x202**2 + m.x205**2 + m.x206**2 - 2*m.x201*m.x205 - 2*m.x202*m.x206 - 2.9321082756*m.b160 - 2.9321082756*m.b170 >= -2.9321082756) m.c2096 = Constraint(expr=m.x201**2 + m.x202**2 + m.x207**2 + m.x208**2 - 2*m.x201*m.x207 - 2*m.x202*m.x208 - 5.6664469849*m.b160 - 5.6664469849*m.b172 >= -5.6664469849) m.c2097 = Constraint(expr=m.x201**2 + m.x202**2 + m.x209**2 + m.x210**2 - 2*m.x201*m.x209 - 2*m.x202*m.x210 - 5.6664469849*m.b160 - 5.6664469849*m.b174 >= -5.6664469849) m.c2098 = Constraint(expr=m.x201**2 + m.x202**2 + m.x211**2 + m.x212**2 - 2*m.x201*m.x211 - 2*m.x202*m.x212 - 5.6664469849*m.b160 - 5.6664469849*m.b176 >= -5.6664469849) m.c2099 = Constraint(expr=m.x177**2 + m.x178**2 + m.x203**2 + m.x204**2 - 2*m.x177*m.x203 - 2*m.x178*m.x204 - 2.118573403024*m.b30 - 2.118573403024*m.b165 >= -2.118573403024) m.c2100 = Constraint(expr=m.x179**2 + m.x180**2 + m.x203**2 + m.x204**2 - 2*m.x180*m.x204 - 2*m.x179*m.x203 - 2.118573403024*m.b39 - 2.118573403024*m.b165 >= -2.118573403024) m.c2101 = Constraint(expr=m.x181**2 + m.x182**2 + m.x203**2 + m.x204**2 - 2*m.x182*m.x204 - 2*m.x181*m.x203 - 2.118573403024*m.b48 - 2.118573403024*m.b165 >= -2.118573403024) m.c2102 = Constraint(expr=m.x183**2 + m.x184**2 + m.x203**2 + m.x204**2 - 2*m.x183*m.x203 - 2*m.x184*m.x204 - 2.118573403024*m.b57 - 2.118573403024*m.b165 >= -2.118573403024) m.c2103 = Constraint(expr=m.x185**2 + m.x186**2 + m.x203**2 + m.x204**2 - 2*m.x186*m.x204 - 2*m.x185*m.x203 - 2.118573403024*m.b66 - 2.118573403024*m.b165 >= -2.118573403024) m.c2104 = Constraint(expr=m.x187**2 + m.x188**2 + m.x203**2 + m.x204**2 - 2*m.x187*m.x203 - 2*m.x188*m.x204 - 2.118573403024*m.b75 - 2.118573403024*m.b165 >= -2.118573403024) m.c2105 = Constraint(expr=m.x189**2 + m.x190**2 + m.x203**2 + m.x204**2 - 2*m.x189*m.x203 - 2*m.x190*m.x204 - 1.436936830729*m.b90 - 1.436936830729*m.b165 >= -1.436936830729) m.c2106 = Constraint(expr=m.x191**2 + m.x192**2 + m.x203**2 + m.x204**2 - 2*m.x191*m.x203 - 2*m.x192*m.x204 - 1.436936830729*m.b105 - 1.436936830729*m.b165 >= -1.436936830729) m.c2107 = Constraint(expr=m.x193**2 + m.x194**2 + m.x203**2 + m.x204**2 - 2*m.x193*m.x203 - 2*m.x194*m.x204 - 1.436936830729*m.b120 - 1.436936830729*m.b165 >= -1.436936830729) m.c2108 = Constraint(expr=m.x195**2 + m.x196**2 + m.x203**2 + m.x204**2 - 2*m.x195*m.x203 - 2*m.x196*m.x204 - 1.436936830729*m.b135 - 1.436936830729*m.b165 >= -1.436936830729) m.c2109 = Constraint(expr=m.x197**2 + m.x198**2 + m.x203**2 + m.x204**2 - 2*m.x197*m.x203 - 2*m.x198*m.x204 - 1.436936830729*m.b150 - 1.436936830729*m.b165 >= -1.436936830729) m.c2110 = Constraint(expr=m.x199**2 + m.x200**2 + m.x203**2 + m.x204**2 - 2*m.x199*m.x203 - 2*m.x200*m.x204 - 2.9321082756*m.b155 - 2.9321082756*m.b165 >= -2.9321082756) m.c2111 = Constraint(expr=m.x201**2 + m.x202**2 + m.x203**2 + m.x204**2 - 2*m.x201*m.x203 - 2*m.x202*m.x204 - 2.9321082756*m.b160 - 2.9321082756*m.b165 >= -2.9321082756) m.c2112 = Constraint(expr=m.x203**2 + m.x204**2 + m.x205**2 + m.x206**2 - 2*m.x203*m.x205 - 2*m.x204*m.x206 - 2.9321082756*m.b165 - 2.9321082756*m.b170 >= -2.9321082756) m.c2113 = Constraint(expr=m.x203**2 + m.x204**2 + m.x207**2 + m.x208**2 - 2*m.x203*m.x207 - 2*m.x204*m.x208 - 5.6664469849*m.b165 - 5.6664469849*m.b172 >= -5.6664469849) m.c2114 = Constraint(expr=m.x203**2 + m.x204**2 + m.x209**2 + m.x210**2 - 2*m.x203*m.x209 - 2*m.x204*m.x210 - 5.6664469849*m.b165 - 5.6664469849*m.b174 >= -5.6664469849) m.c2115 = Constraint(expr=m.x203**2 + m.x204**2 + m.x211**2 + m.x212**2 - 2*m.x203*m.x211 - 2*m.x204*m.x212 - 5.6664469849*m.b165 - 5.6664469849*m.b176 >= -5.6664469849) m.c2116 = Constraint(expr=m.x177**2 + m.x178**2 + m.x205**2 + m.x206**2 - 2*m.x178*m.x206 - 2*m.x177*m.x205 - 2.118573403024*m.b30 - 2.118573403024*m.b170 >= -2.118573403024) m.c2117 = Constraint(expr=m.x179**2 + m.x180**2 + m.x205**2 + m.x206**2 - 2*m.x179*m.x205 - 2*m.x180*m.x206 - 2.118573403024*m.b39 - 2.118573403024*m.b170 >= -2.118573403024) m.c2118 = Constraint(expr=m.x181**2 + m.x182**2 + m.x205**2 + m.x206**2 - 2*m.x182*m.x206 - 2*m.x181*m.x205 - 2.118573403024*m.b48 - 2.118573403024*m.b170 >= -2.118573403024) m.c2119 = Constraint(expr=m.x183**2 + m.x184**2 + m.x205**2 + m.x206**2 - 2*m.x183*m.x205 - 2*m.x184*m.x206 - 2.118573403024*m.b57 - 2.118573403024*m.b170 >= -2.118573403024) m.c2120 = Constraint(expr=m.x185**2 + m.x186**2 + m.x205**2 + m.x206**2 - 2*m.x185*m.x205 - 2*m.x186*m.x206 - 2.118573403024*m.b66 - 2.118573403024*m.b170 >= -2.118573403024) m.c2121 = Constraint(expr=m.x187**2 + m.x188**2 + m.x205**2 + m.x206**2 - 2*m.x187*m.x205 - 2*m.x188*m.x206 - 2.118573403024*m.b75 - 2.118573403024*m.b170 >= -2.118573403024) m.c2122 = Constraint(expr=m.x189**2 + m.x190**2 + m.x205**2 + m.x206**2 - 2*m.x189*m.x205 - 2*m.x190*m.x206 - 1.436936830729*m.b90 - 1.436936830729*m.b170 >= -1.436936830729) m.c2123 = Constraint(expr=m.x191**2 + m.x192**2 + m.x205**2 + m.x206**2 - 2*m.x191*m.x205 - 2*m.x192*m.x206 - 1.436936830729*m.b105 - 1.436936830729*m.b170 >= -1.436936830729) m.c2124 = Constraint(expr=m.x193**2 + m.x194**2 + m.x205**2 + m.x206**2 - 2*m.x193*m.x205 - 2*m.x194*m.x206 - 1.436936830729*m.b120 - 1.436936830729*m.b170 >= -1.436936830729) m.c2125 = Constraint(expr=m.x195**2 + m.x196**2 + m.x205**2 + m.x206**2 - 2*m.x195*m.x205 - 2*m.x196*m.x206 - 1.436936830729*m.b135 - 1.436936830729*m.b170 >= -1.436936830729) m.c2126 = Constraint(expr=m.x197**2 + m.x198**2 + m.x205**2 + m.x206**2 - 2*m.x197*m.x205 - 2*m.x198*m.x206 - 1.436936830729*m.b150 - 1.436936830729*m.b170 >= -1.436936830729) m.c2127 = Constraint(expr=m.x199**2 + m.x200**2 + m.x205**2 + m.x206**2 - 2*m.x199*m.x205 - 2*m.x200*m.x206 - 2.9321082756*m.b155 - 2.9321082756*m.b170 >= -2.9321082756) m.c2128 = Constraint(expr=m.x201**2 + m.x202**2 + m.x205**2 + m.x206**2 - 2*m.x201*m.x205 - 2*m.x202*m.x206 - 2.9321082756*m.b160 - 2.9321082756*m.b170 >= -2.9321082756) m.c2129 = Constraint(expr=m.x203**2 + m.x204**2 + m.x205**2 + m.x206**2 - 2*m.x203*m.x205 - 2*m.x204*m.x206 - 2.9321082756*m.b165 - 2.9321082756*m.b170 >= -2.9321082756) m.c2130 = Constraint(expr=m.x205**2 + m.x206**2 + m.x207**2 + m.x208**2 - 2*m.x205*m.x207 - 2*m.x206*m.x208 - 5.6664469849*m.b170 - 5.6664469849*m.b172 >= -5.6664469849) m.c2131 = Constraint(expr=m.x205**2 + m.x206**2 + m.x209**2 + m.x210**2 - 2*m.x205*m.x209 - 2*m.x206*m.x210 - 5.6664469849*m.b170 - 5.6664469849*m.b174 >= -5.6664469849) m.c2132 = Constraint(expr=m.x205**2 + m.x206**2 + m.x211**2 + m.x212**2 - 2*m.x205*m.x211 - 2*m.x206*m.x212 - 5.6664469849*m.b170 - 5.6664469849*m.b176 >= -5.6664469849) m.c2133 = Constraint(expr=m.x177**2 + m.x178**2 + m.x207**2 + m.x208**2 - 2*m.x177*m.x207 - 2*m.x178*m.x208 - 4.509770398884*m.b30 - 4.509770398884*m.b172 >= -4.509770398884) m.c2134 = Constraint(expr=m.x179**2 + m.x180**2 + m.x207**2 + m.x208**2 - 2*m.x180*m.x208 - 2*m.x179*m.x207 - 4.509770398884*m.b39 - 4.509770398884*m.b172 >= -4.509770398884) m.c2135 = Constraint(expr=m.x181**2 + m.x182**2 + m.x207**2 + m.x208**2 - 2*m.x182*m.x208 - 2*m.x181*m.x207 - 4.509770398884*m.b48 - 4.509770398884*m.b172 >= -4.509770398884) m.c2136 = Constraint(expr=m.x183**2 + m.x184**2 + m.x207**2 + m.x208**2 - 2*m.x183*m.x207 - 2*m.x184*m.x208 - 4.509770398884*m.b57 - 4.509770398884*m.b172 >= -4.509770398884) m.c2137 = Constraint(expr=m.x185**2 + m.x186**2 + m.x207**2 + m.x208**2 - 2*m.x186*m.x208 - 2*m.x185*m.x207 - 4.509770398884*m.b66 - 4.509770398884*m.b172 >= -4.509770398884) m.c2138 = Constraint(expr=m.x187**2 + m.x188**2 + m.x207**2 + m.x208**2 - 2*m.x187*m.x207 - 2*m.x188*m.x208 - 4.509770398884*m.b75 - 4.509770398884*m.b172 >= -4.509770398884) m.c2139 = Constraint(expr=m.x189**2 + m.x190**2 + m.x207**2 + m.x208**2 - 2*m.x189*m.x207 - 2*m.x190*m.x208 - 3.484990776969*m.b90 - 3.484990776969*m.b172 >= -3.484990776969) m.c2140 = Constraint(expr=m.x191**2 + m.x192**2 + m.x207**2 + m.x208**2 - 2*m.x191*m.x207 - 2*m.x192*m.x208 - 3.484990776969*m.b105 - 3.484990776969*m.b172 >= -3.484990776969) m.c2141 = Constraint(expr=m.x193**2 + m.x194**2 + m.x207**2 + m.x208**2 - 2*m.x193*m.x207 - 2*m.x194*m.x208 - 3.484990776969*m.b120 - 3.484990776969*m.b172 >= -3.484990776969) m.c2142 = Constraint(expr=m.x195**2 + m.x196**2 + m.x207**2 + m.x208**2 - 2*m.x195*m.x207 - 2*m.x196*m.x208 - 3.484990776969*m.b135 - 3.484990776969*m.b172 >= -3.484990776969) m.c2143 = Constraint(expr=m.x197**2 + m.x198**2 + m.x207**2 + m.x208**2 - 2*m.x197*m.x207 - 2*m.x198*m.x208 - 3.484990776969*m.b150 - 3.484990776969*m.b172 >= -3.484990776969) m.c2144 = Constraint(expr=m.x199**2 + m.x200**2 + m.x207**2 + m.x208**2 - 2*m.x199*m.x207 - 2*m.x200*m.x208 - 5.6664469849*m.b155 - 5.6664469849*m.b172 >= -5.6664469849) m.c2145 = Constraint(expr=m.x201**2 + m.x202**2 + m.x207**2 + m.x208**2 - 2*m.x201*m.x207 - 2*m.x202*m.x208 - 5.6664469849*m.b160 - 5.6664469849*m.b172 >= -5.6664469849) m.c2146 = Constraint(expr=m.x203**2 + m.x204**2 + m.x207**2 + m.x208**2 - 2*m.x203*m.x207 - 2*m.x204*m.x208 - 5.6664469849*m.b165 - 5.6664469849*m.b172 >= -5.6664469849) m.c2147 = Constraint(expr=m.x205**2 + m.x206**2 + m.x207**2 + m.x208**2 - 2*m.x205*m.x207 - 2*m.x206*m.x208 - 5.6664469849*m.b170 - 5.6664469849*m.b172 >= -5.6664469849) m.c2148 = Constraint(expr=m.x207**2 + m.x208**2 + m.x209**2 + m.x210**2 - 2*m.x207*m.x209 - 2*m.x208*m.x210 - 9.2934741904*m.b172 - 9.2934741904*m.b174 >= -9.2934741904) m.c2149 = Constraint(expr=m.x207**2 + m.x208**2 + m.x211**2 + m.x212**2 - 2*m.x207*m.x211 - 2*m.x208*m.x212 - 9.2934741904*m.b172 - 9.2934741904*m.b176 >= -9.2934741904) m.c2150 = Constraint(expr=m.x177**2 + m.x178**2 + m.x209**2 + m.x210**2 - 2*m.x178*m.x210 - 2*m.x177*m.x209 - 4.509770398884*m.b30 - 4.509770398884*m.b174 >= -4.509770398884) m.c2151 = Constraint(expr=m.x179**2 + m.x180**2 + m.x209**2 + m.x210**2 - 2*m.x180*m.x210 - 2*m.x179*m.x209 - 4.509770398884*m.b39 - 4.509770398884*m.b174 >= -4.509770398884) m.c2152 = Constraint(expr=m.x181**2 + m.x182**2 + m.x209**2 + m.x210**2 - 2*m.x182*m.x210 - 2*m.x181*m.x209 - 4.509770398884*m.b48 - 4.509770398884*m.b174 >= -4.509770398884) m.c2153 = Constraint(expr=m.x183**2 + m.x184**2 + m.x209**2 + m.x210**2 - 2*m.x184*m.x210 - 2*m.x183*m.x209 - 4.509770398884*m.b57 - 4.509770398884*m.b174 >= -4.509770398884) m.c2154 = Constraint(expr=m.x185**2 + m.x186**2 + m.x209**2 + m.x210**2 - 2*m.x186*m.x210 - 2*m.x185*m.x209 - 4.509770398884*m.b66 - 4.509770398884*m.b174 >= -4.509770398884) m.c2155 = Constraint(expr=m.x187**2 + m.x188**2 + m.x209**2 + m.x210**2 - 2*m.x187*m.x209 - 2*m.x188*m.x210 - 4.509770398884*m.b75 - 4.509770398884*m.b174 >= -4.509770398884) m.c2156 = Constraint(expr=m.x189**2 + m.x190**2 + m.x209**2 + m.x210**2 - 2*m.x189*m.x209 - 2*m.x190*m.x210 - 3.484990776969*m.b90 - 3.484990776969*m.b174 >= -3.484990776969) m.c2157 = Constraint(expr=m.x191**2 + m.x192**2 + m.x209**2 + m.x210**2 - 2*m.x191*m.x209 - 2*m.x192*m.x210 - 3.484990776969*m.b105 - 3.484990776969*m.b174 >= -3.484990776969) m.c2158 = Constraint(expr=m.x193**2 + m.x194**2 + m.x209**2 + m.x210**2 - 2*m.x193*m.x209 - 2*m.x194*m.x210 - 3.484990776969*m.b120 - 3.484990776969*m.b174 >= -3.484990776969) m.c2159 = Constraint(expr=m.x195**2 + m.x196**2 + m.x209**2 + m.x210**2 - 2*m.x195*m.x209 - 2*m.x196*m.x210 - 3.484990776969*m.b135 - 3.484990776969*m.b174 >= -3.484990776969) m.c2160 = Constraint(expr=m.x197**2 + m.x198**2 + m.x209**2 + m.x210**2 - 2*m.x197*m.x209 - 2*m.x198*m.x210 - 3.484990776969*m.b150 - 3.484990776969*m.b174 >= -3.484990776969) m.c2161 = Constraint(expr=m.x199**2 + m.x200**2 + m.x209**2 + m.x210**2 - 2*m.x199*m.x209 - 2*m.x200*m.x210 - 5.6664469849*m.b155 - 5.6664469849*m.b174 >= -5.6664469849) m.c2162 = Constraint(expr=m.x201**2 + m.x202**2 + m.x209**2 + m.x210**2 - 2*m.x201*m.x209 - 2*m.x202*m.x210 - 5.6664469849*m.b160 - 5.6664469849*m.b174 >= -5.6664469849) m.c2163 = Constraint(expr=m.x203**2 + m.x204**2 + m.x209**2 + m.x210**2 - 2*m.x203*m.x209 - 2*m.x204*m.x210 - 5.6664469849*m.b165 - 5.6664469849*m.b174 >= -5.6664469849) m.c2164 = Constraint(expr=m.x205**2 + m.x206**2 + m.x209**2 + m.x210**2 - 2*m.x205*m.x209 - 2*m.x206*m.x210 - 5.6664469849*m.b170 - 5.6664469849*m.b174 >= -5.6664469849) m.c2165 = Constraint(expr=m.x207**2 + m.x208**2 + m.x209**2 + m.x210**2 - 2*m.x207*m.x209 - 2*m.x208*m.x210 - 9.2934741904*m.b172 - 9.2934741904*m.b174 >= -9.2934741904) m.c2166 = Constraint(expr=m.x209**2 + m.x210**2 + m.x211**2 + m.x212**2 - 2*m.x209*m.x211 - 2*m.x210*m.x212 - 9.2934741904*m.b174 - 9.2934741904*m.b176 >= -9.2934741904) m.c2167 = Constraint(expr=m.x177**2 + m.x178**2 + m.x211**2 + m.x212**2 - 2*m.x178*m.x212 - 2*m.x177*m.x211 - 4.509770398884*m.b30 - 4.509770398884*m.b176 >= -4.509770398884) m.c2168 = Constraint(expr=m.x179**2 + m.x180**2 + m.x211**2 + m.x212**2 - 2*m.x179*m.x211 - 2*m.x180*m.x212 - 4.509770398884*m.b39 - 4.509770398884*m.b176 >= -4.509770398884) m.c2169 = Constraint(expr=m.x181**2 + m.x182**2 + m.x211**2 + m.x212**2 - 2*m.x182*m.x212 - 2*m.x181*m.x211 - 4.509770398884*m.b48 - 4.509770398884*m.b176 >= -4.509770398884) m.c2170 = Constraint(expr=m.x183**2 + m.x184**2 + m.x211**2 + m.x212**2 - 2*m.x183*m.x211 - 2*m.x184*m.x212 - 4.509770398884*m.b57 - 4.509770398884*m.b176 >= -4.509770398884) m.c2171 = Constraint(expr=m.x185**2 + m.x186**2 + m.x211**2 + m.x212**2 - 2*m.x185*m.x211 - 2*m.x186*m.x212 - 4.509770398884*m.b66 - 4.509770398884*m.b176 >= -4.509770398884) m.c2172 = Constraint(expr=m.x187**2 + m.x188**2 + m.x211**2 + m.x212**2 - 2*m.x187*m.x211 - 2*m.x188*m.x212 - 4.509770398884*m.b75 - 4.509770398884*m.b176 >= -4.509770398884) m.c2173 = Constraint(expr=m.x189**2 + m.x190**2 + m.x211**2 + m.x212**2 - 2*m.x189*m.x211 - 2*m.x190*m.x212 - 3.484990776969*m.b90 - 3.484990776969*m.b176 >= -3.484990776969) m.c2174 = Constraint(expr=m.x191**2 + m.x192**2 + m.x211**2 + m.x212**2 - 2*m.x191*m.x211 - 2*m.x192*m.x212 - 3.484990776969*m.b105 - 3.484990776969*m.b176 >= -3.484990776969) m.c2175 = Constraint(expr=m.x193**2 + m.x194**2 + m.x211**2 + m.x212**2 - 2*m.x193*m.x211 - 2*m.x194*m.x212 - 3.484990776969*m.b120 - 3.484990776969*m.b176 >= -3.484990776969) m.c2176 = Constraint(expr=m.x195**2 + m.x196**2 + m.x211**2 + m.x212**2 - 2*m.x195*m.x211 - 2*m.x196*m.x212 - 3.484990776969*m.b135 - 3.484990776969*m.b176 >= -3.484990776969) m.c2177 = Constraint(expr=m.x197**2 + m.x198**2 + m.x211**2 + m.x212**2 - 2*m.x197*m.x211 - 2*m.x198*m.x212 - 3.484990776969*m.b150 - 3.484990776969*m.b176 >= -3.484990776969) m.c2178 = Constraint(expr=m.x199**2 + m.x200**2 + m.x211**2 + m.x212**2 - 2*m.x199*m.x211 - 2*m.x200*m.x212 - 5.6664469849*m.b155 - 5.6664469849*m.b176 >= -5.6664469849) m.c2179 = Constraint(expr=m.x201**2 + m.x202**2 + m.x211**2 + m.x212**2 - 2*m.x201*m.x211 - 2*m.x202*m.x212 - 5.6664469849*m.b160 - 5.6664469849*m.b176 >= -5.6664469849) m.c2180 = Constraint(expr=m.x203**2 + m.x204**2 + m.x211**2 + m.x212**2 - 2*m.x203*m.x211 - 2*m.x204*m.x212 - 5.6664469849*m.b165 - 5.6664469849*m.b176 >= -5.6664469849) m.c2181 = Constraint(expr=m.x205**2 + m.x206**2 + m.x211**2 + m.x212**2 - 2*m.x205*m.x211 - 2*m.x206*m.x212 - 5.6664469849*m.b170 - 5.6664469849*m.b176 >= -5.6664469849) m.c2182 = Constraint(expr=m.x207**2 + m.x208**2 + m.x211**2 + m.x212**2 - 2*m.x207*m.x211 - 2*m.x208*m.x212 - 9.2934741904*m.b172 - 9.2934741904*m.b176 >= -9.2934741904) m.c2183 = Constraint(expr=m.x209**2 + m.x210**2 + m.x211**2 + m.x212**2 - 2*m.x209*m.x211 - 2*m.x210*m.x212 - 9.2934741904*m.b174 - 9.2934741904*m.b176 >= -9.2934741904) m.c2184 = Constraint(expr=m.x177**2 + m.x178**2 + m.x199**2 + m.x200**2 - 2*m.x177*m.x199 - 2*m.x178*m.x200 + 146.015866806048*m.b22 <= 146.035526210992) m.c2185 = Constraint(expr=m.x177**2 + m.x178**2 + m.x201**2 + m.x202**2 - 2*m.x177*m.x201 - 2*m.x178*m.x202 + 146.015866806048*m.b23 <= 146.035526210992) m.c2186 = Constraint(expr=m.x177**2 + m.x178**2 + m.x203**2 + m.x204**2 - 2*m.x177*m.x203 - 2*m.x178*m.x204 + 146.015866806048*m.b24 <= 146.035526210992) m.c2187 = Constraint(expr=m.x177**2 + m.x178**2 + m.x205**2 + m.x206**2 - 2*m.x177*m.x205 - 2*m.x178*m.x206 + 146.015866806048*m.b25 <= 146.035526210992) m.c2188 = Constraint(expr=m.x177**2 + m.x178**2 + m.x207**2 + m.x208**2 - 2*m.x177*m.x207 - 2*m.x178*m.x208 + 124.074660797768*m.b26 <= 124.688044241112) m.c2189 = Constraint(expr=m.x177**2 + m.x178**2 + m.x209**2 + m.x210**2 - 2*m.x177*m.x209 - 2*m.x178*m.x210 + 124.074660797768*m.b27 <= 124.688044241112) m.c2190 = Constraint(expr=m.x177**2 + m.x178**2 + m.x211**2 + m.x212**2 - 2*m.x177*m.x211 - 2*m.x178*m.x212 + 124.074660797768*m.b28 <= 124.688044241112) m.c2191 = Constraint(expr=m.x177**2 + m.x178**2 + m.x213**2 + m.x214**2 - 2*m.x177*m.x213 - 2*m.x178*m.x214 + 111.557223492128*m.b29 <= 112.885590384432) m.c2192 = Constraint(expr=m.x177**2 + m.x178**2 + m.x215**2 + m.x216**2 - 2*m.x177*m.x215 - 2*m.x178*m.x216 + 111.557223492128*m.b30 <= 112.885590384432) m.c2193 = Constraint(expr=m.x179**2 + m.x180**2 + m.x199**2 + m.x200**2 - 2*m.x179*m.x199 - 2*m.x180*m.x200 + 146.015866806048*m.b31 <= 146.035526210992) m.c2194 = Constraint(expr=m.x179**2 + m.x180**2 + m.x201**2 + m.x202**2 - 2*m.x179*m.x201 - 2*m.x180*m.x202 + 146.015866806048*m.b32 <= 146.035526210992) m.c2195 = Constraint(expr=m.x179**2 + m.x180**2 + m.x203**2 + m.x204**2 - 2*m.x179*m.x203 - 2*m.x180*m.x204 + 146.015866806048*m.b33 <= 146.035526210992) m.c2196 = Constraint(expr=m.x179**2 + m.x180**2 + m.x205**2 + m.x206**2 - 2*m.x179*m.x205 - 2*m.x180*m.x206 + 146.015866806048*m.b34 <= 146.035526210992) m.c2197 = Constraint(expr=m.x179**2 + m.x180**2 + m.x207**2 + m.x208**2 - 2*m.x179*m.x207 - 2*m.x180*m.x208 + 124.074660797768*m.b35 <= 124.688044241112) m.c2198 = Constraint(expr=m.x179**2 + m.x180**2 + m.x209**2 + m.x210**2 - 2*m.x179*m.x209 - 2*m.x180*m.x210 + 124.074660797768*m.b36 <= 124.688044241112) m.c2199 = Constraint(expr=m.x179**2 + m.x180**2 + m.x211**2 + m.x212**2 - 2*m.x179*m.x211 - 2*m.x180*m.x212 + 124.074660797768*m.b37 <= 124.688044241112) m.c2200 = Constraint(expr=m.x179**2 + m.x180**2 + m.x213**2 + m.x214**2 - 2*m.x179*m.x213 - 2*m.x180*m.x214 + 111.557223492128*m.b38 <= 112.885590384432) m.c2201 = Constraint(expr=m.x179**2 + m.x180**2 + m.x215**2 + m.x216**2 - 2*m.x179*m.x215 - 2*m.x180*m.x216 + 111.557223492128*m.b39 <= 112.885590384432) m.c2202 = Constraint(expr=m.x181**2 + m.x182**2 + m.x199**2 + m.x200**2 - 2*m.x181*m.x199 - 2*m.x182*m.x200 + 146.015866806048*m.b40 <= 146.035526210992) m.c2203 = Constraint(expr=m.x181**2 + m.x182**2 + m.x201**2 + m.x202**2 - 2*m.x181*m.x201 - 2*m.x182*m.x202 + 146.015866806048*m.b41 <= 146.035526210992) m.c2204 = Constraint(expr=m.x181**2 + m.x182**2 + m.x203**2 + m.x204**2 - 2*m.x181*m.x203 - 2*m.x182*m.x204 + 146.015866806048*m.b42 <= 146.035526210992) m.c2205 = Constraint(expr=m.x181**2 + m.x182**2 + m.x205**2 + m.x206**2 - 2*m.x181*m.x205 - 2*m.x182*m.x206 + 146.015866806048*m.b43 <= 146.035526210992) m.c2206 = Constraint(expr=m.x181**2 + m.x182**2 + m.x207**2 + m.x208**2 - 2*m.x181*m.x207 - 2*m.x182*m.x208 + 124.074660797768*m.b44 <= 124.688044241112) m.c2207 = Constraint(expr=m.x181**2 + m.x182**2 + m.x209**2 + m.x210**2 - 2*m.x181*m.x209 - 2*m.x182*m.x210 + 124.074660797768*m.b45 <= 124.688044241112) m.c2208 = Constraint(expr=m.x181**2 + m.x182**2 + m.x211**2 + m.x212**2 - 2*m.x181*m.x211 - 2*m.x182*m.x212 + 124.074660797768*m.b46 <= 124.688044241112) m.c2209 = Constraint(expr=m.x181**2 + m.x182**2 + m.x213**2 + m.x214**2 - 2*m.x181*m.x213 - 2*m.x182*m.x214 + 111.557223492128*m.b47 <= 112.885590384432) m.c2210 = Constraint(expr=m.x181**2 + m.x182**2 + m.x215**2 + m.x216**2 - 2*m.x181*m.x215 - 2*m.x182*m.x216 + 111.557223492128*m.b48 <= 112.885590384432) m.c2211 = Constraint(expr=m.x183**2 + m.x184**2 + m.x199**2 + m.x200**2 - 2*m.x183*m.x199 - 2*m.x184*m.x200 + 146.015866806048*m.b49 <= 146.035526210992) m.c2212 = Constraint(expr=m.x183**2 + m.x184**2 + m.x201**2 + m.x202**2 - 2*m.x183*m.x201 - 2*m.x184*m.x202 + 146.015866806048*m.b50 <= 146.035526210992) m.c2213 = Constraint(expr=m.x183**2 + m.x184**2 + m.x203**2 + m.x204**2 - 2*m.x183*m.x203 - 2*m.x184*m.x204 + 146.015866806048*m.b51 <= 146.035526210992) m.c2214 = Constraint(expr=m.x183**2 + m.x184**2 + m.x205**2 + m.x206**2 - 2*m.x183*m.x205 - 2*m.x184*m.x206 + 146.015866806048*m.b52 <= 146.035526210992) m.c2215 = Constraint(expr=m.x183**2 + m.x184**2 + m.x207**2 + m.x208**2 - 2*m.x183*m.x207 - 2*m.x184*m.x208 + 124.074660797768*m.b53 <= 124.688044241112) m.c2216 = Constraint(expr=m.x183**2 + m.x184**2 + m.x209**2 + m.x210**2 - 2*m.x183*m.x209 - 2*m.x184*m.x210 + 124.074660797768*m.b54 <= 124.688044241112) m.c2217 = Constraint(expr=m.x183**2 + m.x184**2 + m.x211**2 + m.x212**2 - 2*m.x183*m.x211 - 2*m.x184*m.x212 + 124.074660797768*m.b55 <= 124.688044241112) m.c2218 = Constraint(expr=m.x183**2 + m.x184**2 + m.x213**2 + m.x214**2 - 2*m.x183*m.x213 - 2*m.x184*m.x214 + 111.557223492128*m.b56 <= 112.885590384432) m.c2219 = Constraint(expr=m.x183**2 + m.x184**2 + m.x215**2 + m.x216**2 - 2*m.x183*m.x215 - 2*m.x184*m.x216 + 111.557223492128*m.b57 <= 112.885590384432) m.c2220 = Constraint(expr=m.x185**2 + m.x186**2 + m.x199**2 + m.x200**2 - 2*m.x185*m.x199 - 2*m.x186*m.x200 + 146.015866806048*m.b58 <= 146.035526210992) m.c2221 = Constraint(expr=m.x185**2 + m.x186**2 + m.x201**2 + m.x202**2 - 2*m.x185*m.x201 - 2*m.x186*m.x202 + 146.015866806048*m.b59 <= 146.035526210992) m.c2222 = Constraint(expr=m.x185**2 + m.x186**2 + m.x203**2 + m.x204**2 - 2*m.x185*m.x203 - 2*m.x186*m.x204 + 146.015866806048*m.b60 <= 146.035526210992) m.c2223 = Constraint(expr=m.x185**2 + m.x186**2 + m.x205**2 + m.x206**2 - 2*m.x185*m.x205 - 2*m.x186*m.x206 + 146.015866806048*m.b61 <= 146.035526210992) m.c2224 = Constraint(expr=m.x185**2 + m.x186**2 + m.x207**2 + m.x208**2 - 2*m.x185*m.x207 - 2*m.x186*m.x208 + 124.074660797768*m.b62 <= 124.688044241112) m.c2225 = Constraint(expr=m.x185**2 + m.x186**2 + m.x209**2 + m.x210**2 - 2*m.x185*m.x209 - 2*m.x186*m.x210 + 124.074660797768*m.b63 <= 124.688044241112) m.c2226 = Constraint(expr=m.x185**2 + m.x186**2 + m.x211**2 + m.x212**2 - 2*m.x185*m.x211 - 2*m.x186*m.x212 + 124.074660797768*m.b64 <= 124.688044241112) m.c2227 = Constraint(expr=m.x185**2 + m.x186**2 + m.x213**2 + m.x214**2 - 2*m.x185*m.x213 - 2*m.x186*m.x214 + 111.557223492128*m.b65 <= 112.885590384432) m.c2228 = Constraint(expr=m.x185**2 + m.x186**2 + m.x215**2 + m.x216**2 - 2*m.x185*m.x215 - 2*m.x186*m.x216 + 111.557223492128*m.b66 <= 112.885590384432) m.c2229 = Constraint(expr=m.x187**2 + m.x188**2 + m.x199**2 + m.x200**2 - 2*m.x187*m.x199 - 2*m.x188*m.x200 + 146.015866806048*m.b67 <= 146.035526210992) m.c2230 = Constraint(expr=m.x187**2 + m.x188**2 + m.x201**2 + m.x202**2 - 2*m.x187*m.x201 - 2*m.x188*m.x202 + 146.015866806048*m.b68 <= 146.035526210992) m.c2231 = Constraint(expr=m.x187**2 + m.x188**2 + m.x203**2 + m.x204**2 - 2*m.x187*m.x203 - 2*m.x188*m.x204 + 146.015866806048*m.b69 <= 146.035526210992) m.c2232 = Constraint(expr=m.x187**2 + m.x188**2 + m.x205**2 + m.x206**2 - 2*m.x187*m.x205 - 2*m.x188*m.x206 + 146.015866806048*m.b70 <= 146.035526210992) m.c2233 = Constraint(expr=m.x187**2 + m.x188**2 + m.x207**2 + m.x208**2 - 2*m.x187*m.x207 - 2*m.x188*m.x208 + 124.074660797768*m.b71 <= 124.688044241112) m.c2234 = Constraint(expr=m.x187**2 + m.x188**2 + m.x209**2 + m.x210**2 - 2*m.x187*m.x209 - 2*m.x188*m.x210 + 124.074660797768*m.b72 <= 124.688044241112) m.c2235 = Constraint(expr=m.x187**2 + m.x188**2 + m.x211**2 + m.x212**2 - 2*m.x187*m.x211 - 2*m.x188*m.x212 + 124.074660797768*m.b73 <= 124.688044241112) m.c2236 = Constraint(expr=m.x187**2 + m.x188**2 + m.x213**2 + m.x214**2 - 2*m.x187*m.x213 - 2*m.x188*m.x214 + 111.557223492128*m.b74 <= 112.885590384432) m.c2237 = Constraint(expr=m.x187**2 + m.x188**2 + m.x215**2 + m.x216**2 - 2*m.x187*m.x215 - 2*m.x188*m.x216 + 111.557223492128*m.b75 <= 112.885590384432) m.c2238 = Constraint(expr=m.x177**2 + m.x178**2 + m.x189**2 + m.x190**2 - 2*m.x177*m.x189 - 2*m.x178*m.x190 + 164.09780773445*m.b76 <= 164.128395645686) m.c2239 = Constraint(expr=m.x179**2 + m.x180**2 + m.x189**2 + m.x190**2 - 2*m.x179*m.x189 - 2*m.x180*m.x190 + 164.09780773445*m.b77 <= 164.128395645686) m.c2240 = Constraint(expr=m.x181**2 + m.x182**2 + m.x189**2 + m.x190**2 - 2*m.x181*m.x189 - 2*m.x182*m.x190 + 164.09780773445*m.b78 <= 164.128395645686) m.c2241 = Constraint(expr=m.x183**2 + m.x184**2 + m.x189**2 + m.x190**2 - 2*m.x183*m.x189 - 2*m.x184*m.x190 + 164.09780773445*m.b79 <= 164.128395645686) m.c2242 = Constraint(expr=m.x185**2 + m.x186**2 + m.x189**2 + m.x190**2 - 2*m.x185*m.x189 - 2*m.x186*m.x190 + 164.09780773445*m.b80 <= 164.128395645686) m.c2243 = Constraint(expr=m.x187**2 + m.x188**2 + m.x189**2 + m.x190**2 - 2*m.x187*m.x189 - 2*m.x188*m.x190 + 164.09780773445*m.b81 <= 164.128395645686) m.c2244 = Constraint(expr=m.x189**2 + m.x190**2 + m.x199**2 + m.x200**2 - 2*m.x189*m.x199 - 2*m.x190*m.x200 + 154.924953661458*m.b82 <= 155.082579335899) m.c2245 = Constraint(expr=m.x189**2 + m.x190**2 + m.x201**2 + m.x202**2 - 2*m.x189*m.x201 - 2*m.x190*m.x202 + 154.924953661458*m.b83 <= 155.082579335899) m.c2246 = Constraint(expr=m.x189**2 + m.x190**2 + m.x203**2 + m.x204**2 - 2*m.x189*m.x203 - 2*m.x190*m.x204 + 154.924953661458*m.b84 <= 155.082579335899) m.c2247 = Constraint(expr=m.x189**2 + m.x190**2 + m.x205**2 + m.x206**2 - 2*m.x189*m.x205 - 2*m.x190*m.x206 + 154.924953661458*m.b85 <= 155.082579335899) m.c2248 = Constraint(expr=m.x189**2 + m.x190**2 + m.x207**2 + m.x208**2 - 2*m.x189*m.x207 - 2*m.x190*m.x208 + 132.297461553938*m.b86 <= 133.379055313947) m.c2249 = Constraint(expr=m.x189**2 + m.x190**2 + m.x209**2 + m.x210**2 - 2*m.x189*m.x209 - 2*m.x190*m.x210 + 132.297461553938*m.b87 <= 133.379055313947) m.c2250 = Constraint(expr=m.x189**2 + m.x190**2 + m.x211**2 + m.x212**2 - 2*m.x189*m.x211 - 2*m.x190*m.x212 + 132.297461553938*m.b88 <= 133.379055313947) m.c2251 = Constraint(expr=m.x189**2 + m.x190**2 + m.x213**2 + m.x214**2 - 2*m.x189*m.x213 - 2*m.x190*m.x214 + 119.361045500978*m.b89 <= 121.347332654427) m.c2252 = Constraint(expr=m.x189**2 + m.x190**2 + m.x215**2 + m.x216**2 - 2*m.x189*m.x215 - 2*m.x190*m.x216 + 119.361045500978*m.b90 <= 121.347332654427) m.c2253 = Constraint(expr=m.x177**2 + m.x178**2 + m.x191**2 + m.x192**2 - 2*m.x177*m.x191 - 2*m.x178*m.x192 + 164.09780773445*m.b91 <= 164.128395645686) m.c2254 = Constraint(expr=m.x179**2 + m.x180**2 + m.x191**2 + m.x192**2 - 2*m.x179*m.x191 - 2*m.x180*m.x192 + 164.09780773445*m.b92 <= 164.128395645686) m.c2255 = Constraint(expr=m.x181**2 + m.x182**2 + m.x191**2 + m.x192**2 - 2*m.x181*m.x191 - 2*m.x182*m.x192 + 164.09780773445*m.b93 <= 164.128395645686) m.c2256 = Constraint(expr=m.x183**2 + m.x184**2 + m.x191**2 + m.x192**2 - 2*m.x183*m.x191 - 2*m.x184*m.x192 + 164.09780773445*m.b94 <= 164.128395645686) m.c2257 = Constraint(expr=m.x185**2 + m.x186**2 + m.x191**2 + m.x192**2 - 2*m.x185*m.x191 - 2*m.x186*m.x192 + 164.09780773445*m.b95 <= 164.128395645686) m.c2258 = Constraint(expr=m.x187**2 + m.x188**2 + m.x191**2 + m.x192**2 - 2*m.x187*m.x191 - 2*m.x188*m.x192 + 164.09780773445*m.b96 <= 164.128395645686) m.c2259 = Constraint(expr=m.x191**2 + m.x192**2 + m.x199**2 + m.x200**2 - 2*m.x191*m.x199 - 2*m.x192*m.x200 + 154.924953661458*m.b97 <= 155.082579335899) m.c2260 = Constraint(expr=m.x191**2 + m.x192**2 + m.x201**2 + m.x202**2 - 2*m.x191*m.x201 - 2*m.x192*m.x202 + 154.924953661458*m.b98 <= 155.082579335899) m.c2261 = Constraint(expr=m.x191**2 + m.x192**2 + m.x203**2 + m.x204**2 - 2*m.x191*m.x203 - 2*m.x192*m.x204 + 154.924953661458*m.b99 <= 155.082579335899) m.c2262 = Constraint(expr=m.x191**2 + m.x192**2 + m.x205**2 + m.x206**2 - 2*m.x191*m.x205 - 2*m.x192*m.x206 + 154.924953661458*m.b100 <= 155.082579335899) m.c2263 = Constraint(expr=m.x191**2 + m.x192**2 + m.x207**2 + m.x208**2 - 2*m.x191*m.x207 - 2*m.x192*m.x208 + 132.297461553938*m.b101 <= 133.379055313947) m.c2264 = Constraint(expr=m.x191**2 + m.x192**2 + m.x209**2 + m.x210**2 - 2*m.x191*m.x209 - 2*m.x192*m.x210 + 132.297461553938*m.b102 <= 133.379055313947) m.c2265 = Constraint(expr=m.x191**2 + m.x192**2 + m.x211**2 + m.x212**2 - 2*m.x191*m.x211 - 2*m.x192*m.x212 + 132.297461553938*m.b103 <= 133.379055313947) m.c2266 = Constraint(expr=m.x191**2 + m.x192**2 + m.x213**2 + m.x214**2 - 2*m.x191*m.x213 - 2*m.x192*m.x214 + 119.361045500978*m.b104 <= 121.347332654427) m.c2267 = Constraint(expr=m.x191**2 + m.x192**2 + m.x215**2 + m.x216**2 - 2*m.x191*m.x215 - 2*m.x192*m.x216 + 119.361045500978*m.b105 <= 121.347332654427) m.c2268 = Constraint(expr=m.x177**2 + m.x178**2 + m.x193**2 + m.x194**2 - 2*m.x177*m.x193 - 2*m.x178*m.x194 + 164.09780773445*m.b106 <= 164.128395645686) m.c2269 = Constraint(expr=m.x179**2 + m.x180**2 + m.x193**2 + m.x194**2 - 2*m.x179*m.x193 - 2*m.x180*m.x194 + 164.09780773445*m.b107 <= 164.128395645686) m.c2270 = Constraint(expr=m.x181**2 + m.x182**2 + m.x193**2 + m.x194**2 - 2*m.x181*m.x193 - 2*m.x182*m.x194 + 164.09780773445*m.b108 <= 164.128395645686) m.c2271 = Constraint(expr=m.x183**2 + m.x184**2 + m.x193**2 + m.x194**2 - 2*m.x183*m.x193 - 2*m.x184*m.x194 + 164.09780773445*m.b109 <= 164.128395645686) m.c2272 = Constraint(expr=m.x185**2 + m.x186**2 + m.x193**2 + m.x194**2 - 2*m.x185*m.x193 - 2*m.x186*m.x194 + 164.09780773445*m.b110 <= 164.128395645686) m.c2273 = Constraint(expr=m.x187**2 + m.x188**2 + m.x193**2 + m.x194**2 - 2*m.x187*m.x193 - 2*m.x188*m.x194 + 164.09780773445*m.b111 <= 164.128395645686) m.c2274 = Constraint(expr=m.x193**2 + m.x194**2 + m.x199**2 + m.x200**2 - 2*m.x193*m.x199 - 2*m.x194*m.x200 + 154.924953661458*m.b112 <= 155.082579335899) m.c2275 = Constraint(expr=m.x193**2 + m.x194**2 + m.x201**2 + m.x202**2 - 2*m.x193*m.x201 - 2*m.x194*m.x202 + 154.924953661458*m.b113 <= 155.082579335899) m.c2276 = Constraint(expr=m.x193**2 + m.x194**2 + m.x203**2 + m.x204**2 - 2*m.x193*m.x203 - 2*m.x194*m.x204 + 154.924953661458*m.b114 <= 155.082579335899) m.c2277 = Constraint(expr=m.x193**2 + m.x194**2 + m.x205**2 + m.x206**2 - 2*m.x193*m.x205 - 2*m.x194*m.x206 + 154.924953661458*m.b115 <= 155.082579335899) m.c2278 = Constraint(expr=m.x193**2 + m.x194**2 + m.x207**2 + m.x208**2 - 2*m.x193*m.x207 - 2*m.x194*m.x208 + 132.297461553938*m.b116 <= 133.379055313947) m.c2279 = Constraint(expr=m.x193**2 + m.x194**2 + m.x209**2 + m.x210**2 - 2*m.x193*m.x209 - 2*m.x194*m.x210 + 132.297461553938*m.b117 <= 133.379055313947) m.c2280 = Constraint(expr=m.x193**2 + m.x194**2 + m.x211**2 + m.x212**2 - 2*m.x193*m.x211 - 2*m.x194*m.x212 + 132.297461553938*m.b118 <= 133.379055313947) m.c2281 = Constraint(expr=m.x193**2 + m.x194**2 + m.x213**2 + m.x214**2 - 2*m.x193*m.x213 - 2*m.x194*m.x214 + 119.361045500978*m.b119 <= 121.347332654427) m.c2282 = Constraint(expr=m.x193**2 + m.x194**2 + m.x215**2 + m.x216**2 - 2*m.x193*m.x215 - 2*m.x194*m.x216 + 119.361045500978*m.b120 <= 121.347332654427) m.c2283 = Constraint(expr=m.x177**2 + m.x178**2 + m.x195**2 + m.x196**2 - 2*m.x177*m.x195 - 2*m.x178*m.x196 + 164.09780773445*m.b121 <= 164.128395645686) m.c2284 = Constraint(expr=m.x179**2 + m.x180**2 + m.x195**2 + m.x196**2 - 2*m.x179*m.x195 - 2*m.x180*m.x196 + 164.09780773445*m.b122 <= 164.128395645686) m.c2285 = Constraint(expr=m.x181**2 + m.x182**2 + m.x195**2 + m.x196**2 - 2*m.x181*m.x195 - 2*m.x182*m.x196 + 164.09780773445*m.b123 <= 164.128395645686) m.c2286 = Constraint(expr=m.x183**2 + m.x184**2 + m.x195**2 + m.x196**2 - 2*m.x183*m.x195 - 2*m.x184*m.x196 + 164.09780773445*m.b124 <= 164.128395645686) m.c2287 = Constraint(expr=m.x185**2 + m.x186**2 + m.x195**2 + m.x196**2 - 2*m.x185*m.x195 - 2*m.x186*m.x196 + 164.09780773445*m.b125 <= 164.128395645686) m.c2288 = Constraint(expr=m.x187**2 + m.x188**2 + m.x195**2 + m.x196**2 - 2*m.x187*m.x195 - 2*m.x188*m.x196 + 164.09780773445*m.b126 <= 164.128395645686) m.c2289 = Constraint(expr=m.x195**2 + m.x196**2 + m.x199**2 + m.x200**2 - 2*m.x195*m.x199 - 2*m.x196*m.x200 + 154.924953661458*m.b127 <= 155.082579335899) m.c2290 = Constraint(expr=m.x195**2 + m.x196**2 + m.x201**2 + m.x202**2 - 2*m.x195*m.x201 - 2*m.x196*m.x202 + 154.924953661458*m.b128 <= 155.082579335899) m.c2291 = Constraint(expr=m.x195**2 + m.x196**2 + m.x203**2 + m.x204**2 - 2*m.x195*m.x203 - 2*m.x196*m.x204 + 154.924953661458*m.b129 <= 155.082579335899) m.c2292 = Constraint(expr=m.x195**2 + m.x196**2 + m.x205**2 + m.x206**2 - 2*m.x195*m.x205 - 2*m.x196*m.x206 + 154.924953661458*m.b130 <= 155.082579335899) m.c2293 = Constraint(expr=m.x195**2 + m.x196**2 + m.x207**2 + m.x208**2 - 2*m.x195*m.x207 - 2*m.x196*m.x208 + 132.297461553938*m.b131 <= 133.379055313947) m.c2294 = Constraint(expr=m.x195**2 + m.x196**2 + m.x209**2 + m.x210**2 - 2*m.x195*m.x209 - 2*m.x196*m.x210 + 132.297461553938*m.b132 <= 133.379055313947) m.c2295 = Constraint(expr=m.x195**2 + m.x196**2 + m.x211**2 + m.x212**2 - 2*m.x195*m.x211 - 2*m.x196*m.x212 + 132.297461553938*m.b133 <= 133.379055313947) m.c2296 = Constraint(expr=m.x195**2 + m.x196**2 + m.x213**2 + m.x214**2 - 2*m.x195*m.x213 - 2*m.x196*m.x214 + 119.361045500978*m.b134 <= 121.347332654427) m.c2297 = Constraint(expr=m.x195**2 + m.x196**2 + m.x215**2 + m.x216**2 - 2*m.x195*m.x215 - 2*m.x196*m.x216 + 119.361045500978*m.b135 <= 121.347332654427) m.c2298 = Constraint(expr=m.x177**2 + m.x178**2 + m.x197**2 + m.x198**2 - 2*m.x177*m.x197 - 2*m.x178*m.x198 + 164.09780773445*m.b136 <= 164.128395645686) m.c2299 = Constraint(expr=m.x179**2 + m.x180**2 + m.x197**2 + m.x198**2 - 2*m.x179*m.x197 - 2*m.x180*m.x198 + 164.09780773445*m.b137 <= 164.128395645686) m.c2300 = Constraint(expr=m.x181**2 + m.x182**2 + m.x197**2 + m.x198**2 - 2*m.x181*m.x197 - 2*m.x182*m.x198 + 164.09780773445*m.b138 <= 164.128395645686) m.c2301 = Constraint(expr=m.x183**2 + m.x184**2 + m.x197**2 + m.x198**2 - 2*m.x183*m.x197 - 2*m.x184*m.x198 + 164.09780773445*m.b139 <= 164.128395645686) m.c2302 = Constraint(expr=m.x185**2 + m.x186**2 + m.x197**2 + m.x198**2 - 2*m.x185*m.x197 - 2*m.x186*m.x198 + 164.09780773445*m.b140 <= 164.128395645686) m.c2303 = Constraint(expr=m.x187**2 + m.x188**2 + m.x197**2 + m.x198**2 - 2*m.x187*m.x197 - 2*m.x188*m.x198 + 164.09780773445*m.b141 <= 164.128395645686) m.c2304 = Constraint(expr=m.x197**2 + m.x198**2 + m.x199**2 + m.x200**2 - 2*m.x197*m.x199 - 2*m.x198*m.x200 + 154.924953661458*m.b142 <= 155.082579335899) m.c2305 = Constraint(expr=m.x197**2 + m.x198**2 + m.x201**2 + m.x202**2 - 2*m.x197*m.x201 - 2*m.x198*m.x202 + 154.924953661458*m.b143 <= 155.082579335899) m.c2306 = Constraint(expr=m.x197**2 + m.x198**2 + m.x203**2 + m.x204**2 - 2*m.x197*m.x203 - 2*m.x198*m.x204 + 154.924953661458*m.b144 <= 155.082579335899) m.c2307 = Constraint(expr=m.x197**2 + m.x198**2 + m.x205**2 + m.x206**2 - 2*m.x197*m.x205 - 2*m.x198*m.x206 + 154.924953661458*m.b145 <= 155.082579335899) m.c2308 = Constraint(expr=m.x197**2 + m.x198**2 + m.x207**2 + m.x208**2 - 2*m.x197*m.x207 - 2*m.x198*m.x208 + 132.297461553938*m.b146 <= 133.379055313947) m.c2309 = Constraint(expr=m.x197**2 + m.x198**2 + m.x209**2 + m.x210**2 - 2*m.x197*m.x209 - 2*m.x198*m.x210 + 132.297461553938*m.b147 <= 133.379055313947) m.c2310 = Constraint(expr=m.x197**2 + m.x198**2 + m.x211**2 + m.x212**2 - 2*m.x197*m.x211 - 2*m.x198*m.x212 + 132.297461553938*m.b148 <= 133.379055313947) m.c2311 = Constraint(expr=m.x197**2 + m.x198**2 + m.x213**2 + m.x214**2 - 2*m.x197*m.x213 - 2*m.x198*m.x214 + 119.361045500978*m.b149 <= 121.347332654427) m.c2312 = Constraint(expr=m.x197**2 + m.x198**2 + m.x215**2 + m.x216**2 - 2*m.x197*m.x215 - 2*m.x198*m.x216 + 119.361045500978*m.b150 <= 121.347332654427) m.c2313 = Constraint(expr=m.x199**2 + m.x200**2 + m.x207**2 + m.x208**2 - 2*m.x199*m.x207 - 2*m.x200*m.x208 + 116.1156939698*m.b151 <= 116.3927698742) m.c2314 = Constraint(expr=m.x199**2 + m.x200**2 + m.x209**2 + m.x210**2 - 2*m.x199*m.x209 - 2*m.x200*m.x210 + 116.1156939698*m.b152 <= 116.3927698742) m.c2315 = Constraint(expr=m.x199**2 + m.x200**2 + m.x211**2 + m.x212**2 - 2*m.x199*m.x211 - 2*m.x200*m.x212 + 116.1156939698*m.b153 <= 116.3927698742) m.c2316 = Constraint(expr=m.x199**2 + m.x200**2 + m.x213**2 + m.x214**2 - 2*m.x199*m.x213 - 2*m.x200*m.x214 + 104.01723378*m.b154 <= 104.8195839276) m.c2317 = Constraint(expr=m.x199**2 + m.x200**2 + m.x215**2 + m.x216**2 - 2*m.x199*m.x215 - 2*m.x200*m.x216 + 104.01723378*m.b155 <= 104.8195839276) m.c2318 = Constraint(expr=m.x201**2 + m.x202**2 + m.x207**2 + m.x208**2 - 2*m.x201*m.x207 - 2*m.x202*m.x208 + 116.1156939698*m.b156 <= 116.3927698742) m.c2319 = Constraint(expr=m.x201**2 + m.x202**2 + m.x209**2 + m.x210**2 - 2*m.x201*m.x209 - 2*m.x202*m.x210 + 116.1156939698*m.b157 <= 116.3927698742) m.c2320 = Constraint(expr=m.x201**2 + m.x202**2 + m.x211**2 + m.x212**2 - 2*m.x201*m.x211 - 2*m.x202*m.x212 + 116.1156939698*m.b158 <= 116.3927698742) m.c2321 = Constraint(expr=m.x201**2 + m.x202**2 + m.x213**2 + m.x214**2 - 2*m.x201*m.x213 - 2*m.x202*m.x214 + 104.01723378*m.b159 <= 104.8195839276) m.c2322 = Constraint(expr=m.x201**2 + m.x202**2 + m.x215**2 + m.x216**2 - 2*m.x201*m.x215 - 2*m.x202*m.x216 + 104.01723378*m.b160 <= 104.8195839276) m.c2323 = Constraint(expr=m.x203**2 + m.x204**2 + m.x207**2 + m.x208**2 - 2*m.x203*m.x207 - 2*m.x204*m.x208 + 116.1156939698*m.b161 <= 116.3927698742) m.c2324 = Constraint(expr=m.x203**2 + m.x204**2 + m.x209**2 + m.x210**2 - 2*m.x203*m.x209 - 2*m.x204*m.x210 + 116.1156939698*m.b162 <= 116.3927698742) m.c2325 = Constraint(expr=m.x203**2 + m.x204**2 + m.x211**2 + m.x212**2 - 2*m.x203*m.x211 - 2*m.x204*m.x212 + 116.1156939698*m.b163 <= 116.3927698742) m.c2326 = Constraint(expr=m.x203**2 + m.x204**2 + m.x213**2 + m.x214**2 - 2*m.x203*m.x213 - 2*m.x204*m.x214 + 104.01723378*m.b164 <= 104.8195839276) m.c2327 = Constraint(expr=m.x203**2 + m.x204**2 + m.x215**2 + m.x216**2 - 2*m.x203*m.x215 - 2*m.x204*m.x216 + 104.01723378*m.b165 <= 104.8195839276) m.c2328 = Constraint(expr=m.x205**2 + m.x206**2 + m.x207**2 + m.x208**2 - 2*m.x205*m.x207 - 2*m.x206*m.x208 + 116.1156939698*m.b166 <= 116.3927698742) m.c2329 = Constraint(expr=m.x205**2 + m.x206**2 + m.x209**2 + m.x210**2 - 2*m.x205*m.x209 - 2*m.x206*m.x210 + 116.1156939698*m.b167 <= 116.3927698742) m.c2330 = Constraint(expr=m.x205**2 + m.x206**2 + m.x211**2 + m.x212**2 - 2*m.x205*m.x211 - 2*m.x206*m.x212 + 116.1156939698*m.b168 <= 116.3927698742) m.c2331 = Constraint(expr=m.x205**2 + m.x206**2 + m.x213**2 + m.x214**2 - 2*m.x205*m.x213 - 2*m.x206*m.x214 + 104.01723378*m.b169 <= 104.8195839276) m.c2332 = Constraint(expr=m.x205**2 + m.x206**2 + m.x215**2 + m.x216**2 - 2*m.x205*m.x215 - 2*m.x206*m.x216 + 104.01723378*m.b170 <= 104.8195839276) m.c2333 = Constraint(expr=m.x207**2 + m.x208**2 + m.x213**2 + m.x214**2 - 2*m.x207*m.x213 - 2*m.x208*m.x214 + 85.6376636642*m.b171 <= 85.6894881867) m.c2334 = Constraint(expr=m.x207**2 + m.x208**2 + m.x215**2 + m.x216**2 - 2*m.x207*m.x215 - 2*m.x208*m.x216 + 85.6376636642*m.b172 <= 85.6894881867) m.c2335 = Constraint(expr=m.x209**2 + m.x210**2 + m.x213**2 + m.x214**2 - 2*m.x209*m.x213 - 2*m.x210*m.x214 + 85.6376636642*m.b173 <= 85.6894881867) m.c2336 = Constraint(expr=m.x209**2 + m.x210**2 + m.x215**2 + m.x216**2 - 2*m.x209*m.x215 - 2*m.x210*m.x216 + 85.6376636642*m.b174 <= 85.6894881867) m.c2337 = Constraint(expr=m.x211**2 + m.x212**2 + m.x213**2 + m.x214**2 - 2*m.x211*m.x213 - 2*m.x212*m.x214 + 85.6376636642*m.b175 <= 85.6894881867) m.c2338 = Constraint(expr=m.x211**2 + m.x212**2 + m.x215**2 + m.x216**2 - 2*m.x211*m.x215 - 2*m.x212*m.x216 + 85.6376636642*m.b176 <= 85.6894881867) m.c2339 = Constraint(expr= m.b2 + m.b22 + m.b23 + m.b24 + m.b25 + m.b26 + m.b27 + m.b28 + m.b29 + m.b30 <= 1) m.c2340 = Constraint(expr= m.b3 + m.b31 + m.b32 + m.b33 + m.b34 + m.b35 + m.b36 + m.b37 + m.b38 + m.b39 <= 1) m.c2341 = Constraint(expr= m.b4 + m.b40 + m.b41 + m.b42 + m.b43 + m.b44 + m.b45 + m.b46 + m.b47 + m.b48 <= 1) m.c2342 = Constraint(expr= m.b5 + m.b49 + m.b50 + m.b51 + m.b52 + m.b53 + m.b54 + m.b55 + m.b56 + m.b57 <= 1) m.c2343 = Constraint(expr= m.b6 + m.b58 + m.b59 + m.b60 + m.b61 + m.b62 + m.b63 + m.b64 + m.b65 + m.b66 <= 1) m.c2344 = Constraint(expr= m.b7 + m.b67 + m.b68 + m.b69 + m.b70 + m.b71 + m.b72 + m.b73 + m.b74 + m.b75 <= 1) m.c2345 = Constraint(expr= m.b8 + m.b76 + m.b77 + m.b78 + m.b79 + m.b80 + m.b81 + m.b82 + m.b83 + m.b84 + m.b85 + m.b86 + m.b87 + m.b88 + m.b89 + m.b90 <= 1) m.c2346 = Constraint(expr= m.b9 + m.b91 + m.b92 + m.b93 + m.b94 + m.b95 + m.b96 + m.b97 + m.b98 + m.b99 + m.b100 + m.b101 + m.b102 + m.b103 + m.b104 + m.b105 <= 1) m.c2347 = Constraint(expr= m.b10 + m.b106 + m.b107 + m.b108 + m.b109 + m.b110 + m.b111 + m.b112 + m.b113 + m.b114 + m.b115 + m.b116 + m.b117 + m.b118 + m.b119 + m.b120 <= 1) m.c2348 = Constraint(expr= m.b11 + m.b121 + m.b122 + m.b123 + m.b124 + m.b125 + m.b126 + m.b127 + m.b128 + m.b129 + m.b130 + m.b131 + m.b132 + m.b133 + m.b134 + m.b135 <= 1) m.c2349 = Constraint(expr= m.b12 + m.b136 + m.b137 + m.b138 + m.b139 + m.b140 + m.b141 + m.b142 + m.b143 + m.b144 + m.b145 + m.b146 + m.b147 + m.b148 + m.b149 + m.b150 <= 1) m.c2350 = Constraint(expr= m.b13 + m.b151 + m.b152 + m.b153 + m.b154 + m.b155 <= 1) m.c2351 = Constraint(expr= m.b14 + m.b156 + m.b157 + m.b158 + m.b159 + m.b160 <= 1) m.c2352 = Constraint(expr= m.b15 + m.b161 + m.b162 + m.b163 + m.b164 + m.b165 <= 1) m.c2353 = Constraint(expr= m.b16 + m.b166 + m.b167 + m.b168 + m.b169 + m.b170 <= 1) m.c2354 = Constraint(expr= m.b17 + m.b171 + m.b172 <= 1) m.c2355 = Constraint(expr= m.b18 + m.b173 + m.b174 <= 1) m.c2356 = Constraint(expr= m.b19 + m.b175 + m.b176 <= 1) m.c2357 = Constraint(expr= m.b20 <= 1) m.c2358 = Constraint(expr= m.b21 <= 1) m.c2359 = Constraint(expr= - m.b13 + m.b22 <= 0) m.c2360 = Constraint(expr= - m.b14 + m.b23 <= 0) m.c2361 = Constraint(expr= - m.b15 + m.b24 <= 0) m.c2362 = Constraint(expr= - m.b16 + m.b25 <= 0) m.c2363 = Constraint(expr= - m.b17 + m.b26 <= 0) m.c2364 = Constraint(expr= - m.b18 + m.b27 <= 0) m.c2365 = Constraint(expr= - m.b19 + m.b28 <= 0) m.c2366 = Constraint(expr= - m.b20 + m.b29 <= 0) m.c2367 = Constraint(expr= - m.b21 + m.b30 <= 0) m.c2368 = Constraint(expr= - m.b13 + m.b31 <= 0) m.c2369 = Constraint(expr= - m.b14 + m.b32 <= 0) m.c2370 = Constraint(expr= - m.b15 + m.b33 <= 0) m.c2371 = Constraint(expr= - m.b16 + m.b34 <= 0) m.c2372 = Constraint(expr= - m.b17 + m.b35 <= 0) m.c2373 = Constraint(expr= - m.b18 + m.b36 <= 0) m.c2374 = Constraint(expr= - m.b19 + m.b37 <= 0) m.c2375 = Constraint(expr= - m.b20 + m.b38 <= 0) m.c2376 = Constraint(expr= - m.b21 + m.b39 <= 0) m.c2377 = Constraint(expr= - m.b13 + m.b40 <= 0) m.c2378 = Constraint(expr= - m.b14 + m.b41 <= 0) m.c2379 = Constraint(expr= - m.b15 + m.b42 <= 0) m.c2380 = Constraint(expr= - m.b16 + m.b43 <= 0) m.c2381 = Constraint(expr= - m.b17 + m.b44 <= 0) m.c2382 = Constraint(expr= - m.b18 + m.b45 <= 0) m.c2383 = Constraint(expr= - m.b19 + m.b46 <= 0) m.c2384 = Constraint(expr= - m.b20 + m.b47 <= 0) m.c2385 = Constraint(expr= - m.b21 + m.b48 <= 0) m.c2386 = Constraint(expr= - m.b13 + m.b49 <= 0) m.c2387 = Constraint(expr= - m.b14 + m.b50 <= 0) m.c2388 = Constraint(expr= - m.b15 + m.b51 <= 0) m.c2389 = Constraint(expr= - m.b16 + m.b52 <= 0) m.c2390 = Constraint(expr= - m.b17 + m.b53 <= 0) m.c2391 = Constraint(expr= - m.b18 + m.b54 <= 0) m.c2392 = Constraint(expr= - m.b19 + m.b55 <= 0) m.c2393 = Constraint(expr= - m.b20 + m.b56 <= 0) m.c2394 = Constraint(expr= - m.b21 + m.b57 <= 0) m.c2395 = Constraint(expr= - m.b13 + m.b58 <= 0) m.c2396 = Constraint(expr= - m.b14 + m.b59 <= 0) m.c2397 = Constraint(expr= - m.b15 + m.b60 <= 0) m.c2398 = Constraint(expr= - m.b16 + m.b61 <= 0) m.c2399 = Constraint(expr= - m.b17 + m.b62 <= 0) m.c2400 = Constraint(expr= - m.b18 + m.b63 <= 0) m.c2401 = Constraint(expr= - m.b19 + m.b64 <= 0) m.c2402 = Constraint(expr= - m.b20 + m.b65 <= 0) m.c2403 = Constraint(expr= - m.b21 + m.b66 <= 0) m.c2404 = Constraint(expr= - m.b13 + m.b67 <= 0) m.c2405 = Constraint(expr= - m.b14 + m.b68 <= 0) m.c2406 = Constraint(expr= - m.b15 + m.b69 <= 0) m.c2407 = Constraint(expr= - m.b16 + m.b70 <= 0) m.c2408 = Constraint(expr= - m.b17 + m.b71 <= 0) m.c2409 = Constraint(expr= - m.b18 + m.b72 <= 0) m.c2410 = Constraint(expr= - m.b19 + m.b73 <= 0) m.c2411 = Constraint(expr= - m.b20 + m.b74 <= 0) m.c2412 = Constraint(expr= - m.b21 + m.b75 <= 0) m.c2413 = Constraint(expr= - m.b2 + m.b76 <= 0) m.c2414 = Constraint(expr= - m.b3 + m.b77 <= 0) m.c2415 = Constraint(expr= - m.b4 + m.b78 <= 0) m.c2416 = Constraint(expr= - m.b5 + m.b79 <= 0) m.c2417 = Constraint(expr= - m.b6 + m.b80 <= 0) m.c2418 = Constraint(expr= - m.b7 + m.b81 <= 0) m.c2419 = Constraint(expr= - m.b13 + m.b82 <= 0) m.c2420 = Constraint(expr= - m.b14 + m.b83 <= 0) m.c2421 = Constraint(expr= - m.b15 + m.b84 <= 0) m.c2422 = Constraint(expr= - m.b16 + m.b85 <= 0) m.c2423 = Constraint(expr= - m.b17 + m.b86 <= 0) m.c2424 = Constraint(expr= - m.b18 + m.b87 <= 0) m.c2425 = Constraint(expr= - m.b19 + m.b88 <= 0) m.c2426 = Constraint(expr= - m.b20 + m.b89 <= 0) m.c2427 = Constraint(expr= - m.b21 + m.b90 <= 0) m.c2428 = Constraint(expr= - m.b2 + m.b91 <= 0) m.c2429 = Constraint(expr= - m.b3 + m.b92 <= 0) m.c2430 = Constraint(expr= - m.b4 + m.b93 <= 0) m.c2431 = Constraint(expr= - m.b5 + m.b94 <= 0) m.c2432 = Constraint(expr= - m.b6 + m.b95 <= 0) m.c2433 = Constraint(expr= - m.b7 + m.b96 <= 0) m.c2434 = Constraint(expr= - m.b13 + m.b97 <= 0) m.c2435 = Constraint(expr= - m.b14 + m.b98 <= 0) m.c2436 = Constraint(expr= - m.b15 + m.b99 <= 0) m.c2437 = Constraint(expr= - m.b16 + m.b100 <= 0) m.c2438 = Constraint(expr= - m.b17 + m.b101 <= 0) m.c2439 = Constraint(expr= - m.b18 + m.b102 <= 0) m.c2440 = Constraint(expr= - m.b19 + m.b103 <= 0) m.c2441 = Constraint(expr= - m.b20 + m.b104 <= 0) m.c2442 = Constraint(expr= - m.b21 + m.b105 <= 0) m.c2443 = Constraint(expr= - m.b2 + m.b106 <= 0) m.c2444 = Constraint(expr= - m.b3 + m.b107 <= 0) m.c2445 = Constraint(expr= - m.b4 + m.b108 <= 0) m.c2446 = Constraint(expr= - m.b5 + m.b109 <= 0) m.c2447 = Constraint(expr= - m.b6 + m.b110 <= 0) m.c2448 = Constraint(expr= - m.b7 + m.b111 <= 0) m.c2449 = Constraint(expr= - m.b13 + m.b112 <= 0) m.c2450 = Constraint(expr= - m.b14 + m.b113 <= 0) m.c2451 = Constraint(expr= - m.b15 + m.b114 <= 0) m.c2452 = Constraint(expr= - m.b16 + m.b115 <= 0) m.c2453 = Constraint(expr= - m.b17 + m.b116 <= 0) m.c2454 = Constraint(expr= - m.b18 + m.b117 <= 0) m.c2455 = Constraint(expr= - m.b19 + m.b118 <= 0) m.c2456 = Constraint(expr= - m.b20 + m.b119 <= 0) m.c2457 = Constraint(expr= - m.b21 + m.b120 <= 0) m.c2458 = Constraint(expr= - m.b2 + m.b121 <= 0) m.c2459 = Constraint(expr= - m.b3 + m.b122 <= 0) m.c2460 = Constraint(expr= - m.b4 + m.b123 <= 0) m.c2461 = Constraint(expr= - m.b5 + m.b124 <= 0) m.c2462 = Constraint(expr= - m.b6 + m.b125 <= 0) m.c2463 = Constraint(expr= - m.b7 + m.b126 <= 0) m.c2464 = Constraint(expr= - m.b13 + m.b127 <= 0) m.c2465 = Constraint(expr= - m.b14 + m.b128 <= 0) m.c2466 = Constraint(expr= - m.b15 + m.b129 <= 0) m.c2467 = Constraint(expr= - m.b16 + m.b130 <= 0) m.c2468 = Constraint(expr= - m.b17 + m.b131 <= 0) m.c2469 = Constraint(expr= - m.b18 + m.b132 <= 0) m.c2470 = Constraint(expr= - m.b19 + m.b133 <= 0) m.c2471 = Constraint(expr= - m.b20 + m.b134 <= 0) m.c2472 = Constraint(expr= - m.b21 + m.b135 <= 0) m.c2473 = Constraint(expr= - m.b2 + m.b136 <= 0) m.c2474 = Constraint(expr= - m.b3 + m.b137 <= 0) m.c2475 = Constraint(expr= - m.b4 + m.b138 <= 0) m.c2476 = Constraint(expr= - m.b5 + m.b139 <= 0) m.c2477 = Constraint(expr= - m.b6 + m.b140 <= 0) m.c2478 = Constraint(expr= - m.b7 + m.b141 <= 0) m.c2479 = Constraint(expr= - m.b13 + m.b142 <= 0) m.c2480 = Constraint(expr= - m.b14 + m.b143 <= 0) m.c2481 = Constraint(expr= - m.b15 + m.b144 <= 0) m.c2482 = Constraint(expr= - m.b16 + m.b145 <= 0) m.c2483 = Constraint(expr= - m.b17 + m.b146 <= 0) m.c2484 = Constraint(expr= - m.b18 + m.b147 <= 0) m.c2485 = Constraint(expr= - m.b19 + m.b148 <= 0) m.c2486 = Constraint(expr= - m.b20 + m.b149 <= 0) m.c2487 = Constraint(expr= - m.b21 + m.b150 <= 0) m.c2488 = Constraint(expr= - m.b17 + m.b151 <= 0) m.c2489 = Constraint(expr= - m.b18 + m.b152 <= 0) m.c2490 = Constraint(expr= - m.b19 + m.b153 <= 0) m.c2491 = Constraint(expr= - m.b20 + m.b154 <= 0) m.c2492 = Constraint(expr= - m.b21 + m.b155 <= 0) m.c2493 = Constraint(expr= - m.b17 + m.b156 <= 0) m.c2494 = Constraint(expr= - m.b18 + m.b157 <= 0) m.c2495 = Constraint(expr= - m.b19 + m.b158 <= 0) m.c2496 = Constraint(expr= - m.b20 + m.b159 <= 0) m.c2497 = Constraint(expr= - m.b21 + m.b160 <= 0) m.c2498 = Constraint(expr= - m.b17 + m.b161 <= 0) m.c2499 = Constraint(expr= - m.b18 + m.b162 <= 0) m.c2500 = Constraint(expr= - m.b19 + m.b163 <= 0) m.c2501 = Constraint(expr= - m.b20 + m.b164 <= 0) m.c2502 = Constraint(expr= - m.b21 + m.b165 <= 0) m.c2503 = Constraint(expr= - m.b17 + m.b166 <= 0) m.c2504 = Constraint(expr= - m.b18 + m.b167 <= 0) m.c2505 = Constraint(expr= - m.b19 + m.b168 <= 0) m.c2506 = Constraint(expr= - m.b20 + m.b169 <= 0) m.c2507 = Constraint(expr= - m.b21 + m.b170 <= 0) m.c2508 = Constraint(expr= - m.b20 + m.b171 <= 0) m.c2509 = Constraint(expr= - m.b21 + m.b172 <= 0) m.c2510 = Constraint(expr= - m.b20 + m.b173 <= 0) m.c2511 = Constraint(expr= - m.b21 + m.b174 <= 0) m.c2512 = Constraint(expr= - m.b20 + m.b175 <= 0) m.c2513 = Constraint(expr= - m.b21 + m.b176 <= 0) m.c2514 = Constraint(expr= m.x177 - m.x179 <= 0) m.c2515 = Constraint(expr= m.x177 - m.x181 <= 0) m.c2516 = Constraint(expr= m.x177 - m.x183 <= 0) m.c2517 = Constraint(expr= m.x177 - m.x185 <= 0) m.c2518 = Constraint(expr= m.x177 - m.x187 <= 0) m.c2519 = Constraint(expr= m.x179 - m.x181 <= 0) m.c2520 = Constraint(expr= m.x179 - m.x183 <= 0) m.c2521 = Constraint(expr= m.x179 - m.x185 <= 0) m.c2522 = Constraint(expr= m.x179 - m.x187 <= 0) m.c2523 = Constraint(expr= m.x181 - m.x183 <= 0) m.c2524 = Constraint(expr= m.x181 - m.x185 <= 0) m.c2525 = Constraint(expr= m.x181 - m.x187 <= 0) m.c2526 = Constraint(expr= m.x183 - m.x185 <= 0) m.c2527 = Constraint(expr= m.x183 - m.x187 <= 0) m.c2528 = Constraint(expr= m.x185 - m.x187 <= 0) m.c2529 = Constraint(expr= m.x189 - m.x191 <= 0) m.c2530 = Constraint(expr= m.x189 - m.x193 <= 0) m.c2531 = Constraint(expr= m.x189 - m.x195 <= 0) m.c2532 = Constraint(expr= m.x189 - m.x197 <= 0) m.c2533 = Constraint(expr= m.x191 - m.x193 <= 0) m.c2534 = Constraint(expr= m.x191 - m.x195 <= 0) m.c2535 = Constraint(expr= m.x191 - m.x197 <= 0) m.c2536 = Constraint(expr= m.x193 - m.x195 <= 0) m.c2537 = Constraint(expr= m.x193 - m.x197 <= 0) m.c2538 = Constraint(expr= m.x195 - m.x197 <= 0) m.c2539 = Constraint(expr= m.x199 - m.x201 <= 0) m.c2540 = Constraint(expr= m.x199 - m.x203 <= 0) m.c2541 = Constraint(expr= m.x199 - m.x205 <= 0) m.c2542 = Constraint(expr= m.x201 - m.x203 <= 0) m.c2543 = Constraint(expr= m.x201 - m.x205 <= 0) m.c2544 = Constraint(expr= m.x203 - m.x205 <= 0) m.c2545 = Constraint(expr= m.x207 - m.x209 <= 0) m.c2546 = Constraint(expr= m.x207 - m.x211 <= 0) m.c2547 = Constraint(expr= m.x209 - m.x211 <= 0) m.c2548 = Constraint(expr= m.x213 - m.x215 <= 0)

64.351215

115

0.563763

88,737

497,821

3.162751

0.032782

0.08327

0.136129

0.013194

0.924865

0.90061

0.900147

0.900119

0.878295

0

0.480996

0.228656

497,821

7,735

116

64.359535

0.249889

0.001366

0

0.422459

0

1

0

false

0

0.000194

0

0.000194

0

null

0

1

0

1

0

1

0

null

0

8

e955bbe40cf96808b74b3fc500ad5e98cd89d471

44,065

py

Python

test/test_web_tiddler.py

tiddlyweb/tiddlyweb

376bcad280e24d2de4d74883dc4d8369abcb2c28

[ "BSD-3-Clause" ]

57

2015-02-01T21:03:34.000Z

2021-12-25T12:02:31.000Z

test/test_web_tiddler.py

tiddlyweb/tiddlyweb

376bcad280e24d2de4d74883dc4d8369abcb2c28

[ "BSD-3-Clause" ]

6

2016-02-05T11:43:32.000Z

2019-09-05T13:38:49.000Z

test/test_web_tiddler.py

tiddlyweb/tiddlyweb

376bcad280e24d2de4d74883dc4d8369abcb2c28

[ "BSD-3-Clause" ]

17

2015-05-12T08:53:23.000Z

2021-12-21T15:56:30.000Z

""" Test that GETting a tiddler in some form. """ import os import py.test import httplib2 import simplejson from base64 import b64encode from re import match from .fixtures import (muchdata, reset_textstore, _teststore, initialize_app, get_http) import tiddlyweb.stores.text from tiddlyweb.model.tiddler import Tiddler from tiddlyweb.model.bag import Bag from tiddlyweb.model.recipe import Recipe from tiddlyweb.model.user import User from tiddlyweb.web.util import http_date_from_timestamp authorization = b64encode('cdent:cowpig'.encode('utf-8')).decode('utf-8') bad_authorization = b64encode('cdent:cdent'.encode('utf-8')).decode('utf-8') no_user_authorization = b64encode('foop:foop'.encode('utf-8')).decode('utf-8') text_put_body = u"""modifier: JohnSmith created: modified: 200803030303 tags: tagone type: Hello, I'm John Smith \xbb and I have something to sell. """ http = get_http() def setup_module(module): initialize_app() reset_textstore() module.store = _teststore() muchdata(module.store) user = User('cdent') user.set_password('cowpig') module.store.put(user) try: os.mkdir('.test_cache') except OSError: pass # we don't care if it already exists def test_get_tiddler(): response, content = http.requestU( 'http://our_test_domain:8001/bags/bag0/tiddlers/tiddler8', method='GET') assert response['status'] == '200', content assert 'i am tiddler 8' in content def test_bad_http_caching_timestamp(): """ Thunderbird's feed module sends `If-Modified-Since: 0`, which is invalid - Postel demands that we don't freak out over that """ response, content = http.requestU( 'http://our_test_domain:8001/bags/bag0/tiddlers/tiddler8', method='GET', headers={'If-Modified-Since': '0'}) assert response['status'] == '200', content def test_get_tiddler_revision(): response, content = http.requestU( 'http://our_test_domain:8001/bags/bag0/tiddlers/tiddler8/revisions/1', method='GET') assert response['status'] == '200' assert 'i am tiddler 8' in content assert 'revision="1"' in content def test_get_missing_tiddler(): response, content = http.requestU( 'http://our_test_domain:8001/bags/bag0/tiddlers/tiddler27', method='GET') assert response['status'] == '404' def test_get_missing_tiddler_revision(): response, content = http.requestU( 'http://our_test_domain:8001/bags/bag0/tiddlers/tiddler27/revisions/99', method='GET') assert response['status'] == '404' def test_get_tiddler_missing_revision(): response, content = http.requestU( 'http://our_test_domain:8001/bags/bag0/tiddlers/tiddler8/revisions/99', method='GET') assert response['status'] == '404' def test_put_tiddler_txt(): encoded_body = text_put_body.encode('utf-8') funkity_encoding = text_put_body.encode('latin1') response, content = http.request( 'http://our_test_domain:8001/bags/bag0/tiddlers/TestOne', method='PUT', headers={'Content-Type': 'text/plain'}, body=encoded_body) tiddler_url = response['location'] assert response['status'] == '204', content response, content = http.requestU( 'http://our_test_domain:8001/bags/bag0/tiddlers/TestOne', method='PUT', headers={'Content-Type': 'text/plain'}, body=funkity_encoding) assert response['status'] == '400', content assert 'unable to decode tiddler' in content assert tiddler_url == 'http://our_test_domain:8001/bags/bag0/tiddlers/TestOne' response, content = http.requestU(tiddler_url, headers={'Accept': 'text/plain'}) contents = content.strip().split('\n\n')[0].split('\n') texts = text_put_body.strip().split('\n\n')[0].split('\n') received_headers = dict((key, value) for key, value in [line.split(': ') for line in contents]) sent_headers = dict((key, value) for key, value in [line.split(': ') for line in texts]) assert sent_headers['type'] == received_headers['type'] assert sent_headers['tags'] == received_headers['tags'] assert sent_headers['modifier'] == 'JohnSmith' assert received_headers['modifier'] == 'GUEST' assert received_headers['creator'] == 'GUEST' def test_put_tiddler_txt_with_modifier(): """ Putting a tiddler with modifier and no auth should result in default. """ response, content = http.requestU( 'http://our_test_domain:8001/bags/bag0/tiddlers/TestOne', method='PUT', headers={'Content-Type': 'text/plain'}, body='modifier: ArthurDent\n\nTowels') assert response['status'] == '204' tiddler_url = response['location'] assert tiddler_url == 'http://our_test_domain:8001/bags/bag0/tiddlers/TestOne' response, content = http.requestU(tiddler_url, headers={'Accept': 'text/plain'}) assert 'modified: 2' in content assert 'modifier: GUEST' in content assert 'creator: GUEST' in content def test_put_tiddler_json(): json = simplejson.dumps(dict(text='i fight for the users', tags=['tagone', 'tagtwo'], modifier='')) response, content = http.requestU( 'http://our_test_domain:8001/bags/bag0/tiddlers/TestTwo', method='PUT', headers={'Content-Type': 'application/json', 'Content-Length': '0'}, body='') assert response['status'] == '400' assert 'unable to make json into' in content response, content = http.requestU( 'http://our_test_domain:8001/bags/bag0/tiddlers/TestTwo', method='PUT', headers={'Content-Type': 'application/json'}, body='{"text": "}') assert response['status'] == '400' assert 'unable to make json into' in content response, content = http.requestU( 'http://our_test_domain:8001/bags/bag0/tiddlers/TestTwo', method='PUT', headers={'Content-Type': 'application/json'}, body=json) assert response['status'] == '204' tiddler_url = response['location'] assert (tiddler_url == 'http://our_test_domain:8001/bags/bag0/tiddlers/TestTwo') response, content = http.requestU(tiddler_url, headers={'Accept': 'application/json'}) info = simplejson.loads(content) now_time = http_date_from_timestamp('') assert response['last-modified'].split(':', 1)[0] == ( now_time.split(':', 1)[0]) assert info['title'] == 'TestTwo' assert info['text'] == 'i fight for the users' assert info['uri'] == tiddler_url def test_put_tiddler_json_with_slash(): json = simplejson.dumps(dict(text='i fight for the users', tags=['tagone', 'tagtwo'], modifier='', modified='200805230303', created='200803030303')) response, content = http.requestU( 'http://our_test_domain:8001/bags/bag0/tiddlers/Test%2FSlash', method='PUT', headers={'Content-Type': 'application/json'}, body=json) assert response['status'] == '204' assert response['location'] == 'http://our_test_domain:8001/bags/bag0/tiddlers/Test%2FSlash' def test_put_tiddler_html_in_json(): json = simplejson.dumps(dict( text='<html><head><title>HI</title><body><h1>HI</h1></body></html>')) response, content = http.requestU( 'http://our_test_domain:8001/bags/bag0/tiddlers/TestHTML', method='PUT', headers={'Content-Type': 'application/json'}, body=json) assert response['status'] == '204' location = response['location'] response, content = http.requestU( location, headers={'User-Agent': 'Mozilla'}) assert response['status'] == '200' assert 'text/html; charset=UTF-8' in response['content-type'] # Title should not be there assert '<title>HI</title>' not in content assert '<title>TiddlyWeb - TestHTML</title>' in content assert '<h1>HI</h1>' in content json = simplejson.dumps(dict( text='<html><head><title>HI</title><body><h1>HI</h1></body></html>', type='text/html')) response, content = http.requestU( 'http://our_test_domain:8001/bags/bag0/tiddlers/TestHTML', method='PUT', headers={'Content-Type': 'application/json', 'User-Agent': 'Mozilla'}, body=json) assert response['status'] == '204' location = response['location'] response, content = http.requestU(location) assert response['status'] == '200' assert 'text/html; charset=UTF-8' in response['content-type'] # Title should not be wrapping in tiddly info assert '<title>HI</title>' in content assert '<h1>HI</h1>' in content def test_put_tiddler_json_bad_path(): """ / in tiddler title is an unresolved source of some confusion. """ if type(store.storage) != tiddlyweb.stores.text.Store: py.test.skip('skipping this test for non-text store') json = simplejson.dumps(dict(text='i fight for the users 2', tags=['tagone', 'tagtwo'], modifier='', modified='200803030303', created='200803030303')) response, content = http.requestU( 'http://our_test_domain:8001/bags/bag0/tiddlers/..%2F..%2F..%2F..%2FTestThree', method='PUT', headers={'Content-Type': 'application/json'}, body=json) assert response['status'] == '404' def test_put_tiddler_json_no_bag(): json = simplejson.dumps(dict(text='i fight for the users 2', tags=['tagone', 'tagtwo'], modifier='', modified='200803030303', created='200803030303')) response, content = http.requestU( 'http://our_test_domain:8001/bags/nobagheremaam/tiddlers/SomeKindOTiddler', method='PUT', headers={'Content-Type': 'application/json'}, body=json) assert response['status'] == '409' assert 'There is no bag named: nobagheremaam' in content def test_get_tiddler_via_recipe(): response, content = http.requestU( 'http://our_test_domain:8001/recipes/long/tiddlers/tiddler8.json', method='GET') assert response['status'] == '200', content tiddler_info = simplejson.loads(content) assert tiddler_info['bag'] == 'bag28' def test_get_tiddler_etag_recipe(): response, content = http.requestU( 'http://our_test_domain:8001/recipes/long/tiddlers/tiddler8.json', method='GET') assert response['status'] == '200' assert response['etag'].startswith('"bag28/tiddler8/1:') tiddler_info = simplejson.loads(content) assert tiddler_info['bag'] == 'bag28' def test_get_tiddler_etag_bag(): response, content = http.requestU( 'http://our_test_domain:8001/bags/bag28/tiddlers/tiddler8.json', method='GET') assert response['status'] == '200' assert response['etag'].startswith('"bag28/tiddler8/1:') tiddler_info = simplejson.loads(content) assert tiddler_info['bag'] == 'bag28' def test_get_tiddler_manual_cache(): [os.unlink('.test_cache/%s' % x) for x in os.listdir('.test_cache')] http = httplib2.Http('.test_cache') tiddler = Tiddler('cached', 'bag28') tiddler.text = 'hi!' tiddler.fields['_cache-max-age'] = 3000 store.put(tiddler) response, content = http.request( 'http://our_test_domain:8001/bags/bag28/tiddlers/cached') assert not response.fromcache assert response['status'] == '200' assert response['cache-control'] == 'max-age=3000, no-transform' assert 'text/html; charset=UTF-8' in response['content-type'] htmletag = response['etag'] response, content = http.request( 'http://our_test_domain:8001/bags/bag28/tiddlers/cached', headers={'Accept': 'text/plain'}) assert not response.fromcache assert response['status'] == '200' assert response['cache-control'] == 'max-age=3000, no-transform' assert 'text/plain; charset=UTF-8' in response['content-type'] response, content = http.request( 'http://our_test_domain:8001/bags/bag28/tiddlers/cached') # this one does not cache because we Vary on Accept assert not response.fromcache assert response['status'] == '200' assert response['etag'] == htmletag response, content = http.request( 'http://our_test_domain:8001/bags/bag28/tiddlers/cached') assert response.fromcache assert response['status'] == '304' assert 'text/html; charset=UTF-8' in response['content-type'] assert response['etag'] == htmletag tiddler = Tiddler('notcached', 'bag28') tiddler.text = 'hi!' tiddler.fields['_cache-max-age'] = 'salami' store.put(tiddler) response, content = http.request( 'http://our_test_domain:8001/bags/bag28/tiddlers/notcached') assert not response.fromcache assert response['status'] == '200' assert response['cache-control'] == 'no-cache, no-transform' assert 'max-age' not in response['cache-control'] assert 'text/html; charset=UTF-8' in response['content-type'] def test_get_tiddler_cached(): [os.unlink('.test_cache/%s' % x) for x in os.listdir('.test_cache')] http = httplib2.Http('.test_cache') response, content = http.request( 'http://our_test_domain:8001/bags/bag28/tiddlers/tiddler8', headers={'Accept': 'application/json'}, method='GET') assert not response.fromcache assert response['status'] == '200' assert response['etag'].startswith('"bag28/tiddler8/1:') response, content = http.request( 'http://our_test_domain:8001/bags/bag28/tiddlers/tiddler8', headers={'Accept': 'application/json'}, method='GET') assert response.fromcache assert response['status'] == '304' assert response['etag'].startswith('"bag28/tiddler8/1:') response, content = http.request( 'http://our_test_domain:8001/bags/bag28/tiddlers/tiddler8', headers={'Accept': 'text/html'}, method='GET') assert response['etag'].startswith('"bag28/tiddler8/1:') assert not response.fromcache assert response['status'] == '200' response, content = http.request( 'http://our_test_domain:8001/bags/bag28/tiddlers/tiddler8', headers={'Accept': 'application/json'}, method='GET') assert not response.fromcache assert response['status'] == '200' assert response['etag'].startswith('"bag28/tiddler8/1:') response, content = http.request( 'http://our_test_domain:8001/bags/bag28/tiddlers/tiddler8', headers={'Accept': 'application/json'}, method='GET') assert response.fromcache assert response['status'] == '304' assert response['etag'].startswith('"bag28/tiddler8/1:') def test_put_tiddler_recipe_with_filter(): recipe = Recipe('recipe1') bag1 = Bag('bag1') bag2 = Bag('bag2') recipe.set_recipe([('bag1', ''), ('bag2', 'select=tag:foo')]) store.put(bag1) store.put(bag2) store.put(recipe) tiddler_json_one = simplejson.dumps(dict(text='hello', tags=[])) tiddler_json_two = simplejson.dumps(dict(text='hello', tags=['foo'])) response, content = http.request( 'http://our_test_domain:8001/recipes/recipe1/tiddlers/tiddler_one', headers={'Content-Type': 'application/json'}, method='PUT', body=tiddler_json_one) assert response['status'] == '204' assert 'bag1' in response['etag'] response, content = http.request( 'http://our_test_domain:8001/recipes/recipe1/tiddlers/tiddler_two', headers={'Content-Type': 'application/json'}, method='PUT', body=tiddler_json_two) assert response['status'] == '204' assert 'bag2' in response['etag'] tiddler = Tiddler('tiddler_three', 'bag2') tiddler.tags = ['foo'] store.put(tiddler) response, content = http.request( 'http://our_test_domain:8001/recipes/recipe1/tiddlers/tiddler_two', headers={'Content-Type': 'application/json'}, method='PUT', body=tiddler_json_two) assert response['status'] == '204' assert 'bag2' in response['etag'] def test_put_tiddler_cache_fakey(): [os.unlink('.test_cache/%s' % x) for x in os.listdir('.test_cache')] http_caching = httplib2.Http('.test_cache') http = httplib2.Http() json = simplejson.dumps(dict(text='i fight for the users 2', tags=['tagone', 'tagtwo'], modifier='', modified='200803030303', created='200803030303')) response, content = http_caching.request( 'http://our_test_domain:8001/recipes/long/tiddlers/CashForCache', method='PUT', headers={'Content-Type': 'application/json'}, body=json) assert response['status'] == '204' assert response['etag'].startswith('"bag1/CashForCache/1:') response, content = http_caching.request( 'http://our_test_domain:8001/recipes/long/tiddlers/CashForCache', method='GET', headers={'Accept': 'application/json'}) assert response['status'] == '200' assert response['etag'].startswith('"bag1/CashForCache/1:') response, content = http.request( 'http://our_test_domain:8001/recipes/long/tiddlers/CashForCache', method='PUT', headers={'Content-Type': 'application/json'}, body=json) assert response['status'] == '204' assert response['etag'].startswith('"bag1/CashForCache/2:') response, content = http_caching.request( 'http://our_test_domain:8001/recipes/long/tiddlers/CashForCache', method='PUT', headers={'Content-Type': 'application/json'}, body=json) assert response['status'] == '412' def test_put_tiddler_via_recipe(): json = simplejson.dumps(dict(text='i fight for the users 2', tags=['tagone', 'tagtwo'], modifier='', modified='200803030303', created='200803030303')) response, content = http.request( 'http://our_test_domain:8001/recipes/long/tiddlers/FantasticVoyage', method='PUT', headers={'Content-Type': 'application/json'}, body=json) assert response['status'] == '204' assert response['etag'].startswith('"bag1/FantasticVoyage/1:') url = response['location'] reponse, content = http.requestU(url, method='GET', headers={'Accept': 'application/json'}) tiddler_dict = simplejson.loads(content) assert tiddler_dict['bag'] == 'bag1' assert response['etag'].startswith('"bag1/FantasticVoyage/1:') def test_slash_in_etag(): json = simplejson.dumps(dict(text='i fight for the users', tags=['tagone', 'tagtwo'], modifier='', modified='200805230303', created='200803030303')) response, content = http.request( 'http://our_test_domain:8001/bags/bag0/tiddlers/Test%2FTwo', method='PUT', headers={'Content-Type': 'application/json'}, body=json) assert response['status'] == '204' response, content = http.request( 'http://our_test_domain:8001/bags/bag0/tiddlers/Test%2FTwo', method='PUT', headers={'Content-Type': 'application/json', 'If-Match': '"bag0/Test%2FTwo/1"'}, body=json) assert response['status'] == '204' response, content = http.request( 'http://our_test_domain:8001/bags/bag0/tiddlers/Test%2FTwo', method='PUT', headers={'Content-Type': 'application/json', 'If-Match': '"bag0/Test/Two/2"'}, body=json) assert response['status'] == '412' response, content = http.request( 'http://our_test_domain:8001/bags/bag0/tiddlers/Test%2FTwo', method='PUT', headers={'Content-Type': 'application/json', 'If-Match': '"bag0/Test%2FTwo/2"'}, body=json) assert response['status'] == '204' def test_paren_in_etag(): json = simplejson.dumps(dict(text='i fight for the users', tags=['tagone', 'tagtwo'], modifier='', modified='200805230303', created='200803030303')) response, content = http.request( 'http://our_test_domain:8001/bags/bag0/tiddlers/Test(Two)', method='PUT', headers={'Content-Type': 'application/json'}, body=json) assert response['status'] == '204' response, content = http.request( 'http://our_test_domain:8001/bags/bag0/tiddlers/Test(Two)', method='PUT', headers={'Content-Type': 'application/json', 'If-Match': '"bag0/Test(Two)/1"'}, body=json) assert response['status'] == '204' response, content = http.request( 'http://our_test_domain:8001/bags/bag0/tiddlers/Test(Two)', method='PUT', headers={'Content-Type': 'application/json', 'If-Match': '"bag0/Test%28Two%29/2"'}, body=json) assert response['status'] == '412' response, content = http.request( 'http://our_test_domain:8001/bags/bag0/tiddlers/Test(Two)', method='PUT', headers={'Content-Type': 'application/json', 'If-Match': '"bag0/Test(Two)/2"'}, body=json) assert response['status'] == '204' def test_get_tiddler_text_created(): """ Make sure the tiddler comes back to us as we expect. In the process confirm that Accept header processing is working as expect, by wanting xml (which we don't do), more than text/plain, which we do. """ tiddler_url = 'http://our_test_domain:8001/bags/bag0/tiddlers/TestOne' response, content = http.requestU(tiddler_url, headers={'Accept': 'text/xml; q=1, text/plain'}) contents = content.strip().rstrip().split('\n') assert contents[-1] == u'Towels' # text assert contents[0] == u'creator: GUEST' assert match(r'^created: \d{14}$', contents[1]) def test_tiddler_bag_constraints(): encoded_body = text_put_body.encode('utf-8') _put_policy('unreadable', dict(policy=dict(manage=['cdent'], read=['NONE'], write=['NONE'], create=['NONE']))) # try to create a tiddler and fail response, content = http.requestU( 'http://our_test_domain:8001/bags/unreadable/tiddlers/WroteOne', method='PUT', headers={'Content-Type': 'text/plain', 'Authorization': 'Basic %s' % authorization}, body=encoded_body) assert response['status'] == '403' assert 'may not create' in content # create and succeed _put_policy('unreadable', dict(policy=dict(manage=['cdent'], read=['NONE'], write=['NONE'], create=['cdent']))) response, content = http.requestU( 'http://our_test_domain:8001/bags/unreadable/tiddlers/WroteOne', method='PUT', headers={'Content-Type': 'text/plain', 'Authorization': 'Basic %s' % authorization}, body=encoded_body) assert response['status'] == '204' # fail when bad auth format _put_policy('unreadable', dict(policy=dict(manage=['cdent'], read=['NONE'], write=['NONE'], create=['cdent']))) response, content = http.request( 'http://our_test_domain:8001/bags/unreadable/tiddlers/WroteOne', method='PUT', headers={'Content-Type': 'text/plain', 'Authorization': '%s' % authorization}, body=encoded_body) assert response['status'] == '403' # fail when bad auth info _put_policy('unreadable', dict(policy=dict(manage=['cdent'], read=['NONE'], write=['NONE'], create=['cdent']))) response, content = http.requestU( 'http://our_test_domain:8001/bags/unreadable/tiddlers/WroteOne', method='PUT', headers={'Content-Type': 'text/plain', 'Authorization': 'Basic %s' % bad_authorization}, body=encoded_body) assert response['status'] == '403' # fail when bad user info _put_policy('unreadable', dict(policy=dict(manage=['cdent'], read=['NONE'], write=['NONE'], create=['cdent']))) response, content = http.request( 'http://our_test_domain:8001/bags/unreadable/tiddlers/WroteOne', method='PUT', headers={'Content-Type': 'text/plain', 'Authorization': 'Basic %s' % no_user_authorization}, body=encoded_body) assert response['status'] == '403' # write and fail response, content = http.requestU( 'http://our_test_domain:8001/bags/unreadable/tiddlers/WroteOne', method='PUT', headers={'Content-Type': 'text/plain', 'Authorization': 'Basic %s' % authorization}, body=encoded_body) assert response['status'] == '403' assert 'may not write' in content # write and succeed _put_policy('unreadable', dict(policy=dict(manage=['cdent'], read=['NONE'], write=['cdent'], create=['NONE']))) response, content = http.requestU( 'http://our_test_domain:8001/bags/unreadable/tiddlers/WroteOne', method='PUT', headers={'Content-Type': 'text/plain', 'Authorization': 'Basic %s' % authorization}, body=encoded_body) assert response['status'] == '204' # read and fail response, content = http.requestU( 'http://our_test_domain:8001/bags/unreadable/tiddlers/WroteOne', method='GET', headers={'Accept': 'text/plain', 'Authorization': 'Basic %s' % authorization}) assert response['status'] == '403' assert 'may not read' in content # update the policy so we can read and GET the thing _put_policy('unreadable', dict(policy=dict(manage=['cdent'], read=['cdent'], write=['NONE'], delete=['NONE']))) response, content = http.requestU( 'http://our_test_domain:8001/bags/unreadable/tiddlers/WroteOne', method='GET', headers={'Accept': 'text/plain', 'Authorization': 'Basic %s' % authorization}) assert response['status'] == '200' assert 'John Smith' in content def test_get_tiddler_via_recipe_with_perms(): _put_policy('bag28', dict(policy=dict(manage=['cdent'], read=['NONE'], write=['NONE']))) response, content = http.requestU( 'http://our_test_domain:8001/recipes/long/tiddlers/tiddler8.json', method='GET') assert response['status'] == '403' assert 'may not read' in content _put_policy('bag28', dict(policy=dict(manage=['cdent'], read=['cdent'], write=['NONE']))) response, content = http.requestU( 'http://our_test_domain:8001/recipes/long/tiddlers/tiddler8.json', headers=dict(Authorization='Basic %s' % authorization), method='GET') assert response['status'] == '200' tiddler_info = simplejson.loads(content) assert tiddler_info['bag'] == 'bag28' encoded_body = text_put_body.encode('utf-8') response, content = http.requestU( 'http://our_test_domain:8001/recipes/long/tiddlers/tiddler8', method='PUT', headers={'Content-Type': 'text/plain', 'Authorization': 'Basic %s' % authorization}, body=encoded_body) assert response['status'] == '403' assert 'may not write' in content _put_policy('bag28', dict(policy=dict(manage=['cdent'], read=['cdent'], write=['nancy']))) encoded_body = text_put_body.encode('utf-8') response, content = http.requestU( 'http://our_test_domain:8001/recipes/long/tiddlers/tiddler8', method='PUT', headers={'Content-Type': 'text/plain', 'Authorization': 'Basic %s' % authorization}, body=encoded_body) assert response['status'] == '403' _put_policy('bag28', dict(policy=dict(manage=['cdent'], read=['cdent'], write=['cdent']))) encoded_body = text_put_body.encode('utf-8') response, content = http.requestU( 'http://our_test_domain:8001/recipes/long/tiddlers/tiddler8', method='PUT', headers={'Content-Type': 'text/plain'}, body=encoded_body) # when we PUT without permission there's no good way to handle auth # so we just forbid. assert response['status'] == '403' def test_delete_tiddler_in_recipe(): """disabled in tiddlyweb 1.1""" response, content = http.request( 'http://our_test_domain:8001/recipes/long/tiddlers/tiddler8', method='DELETE') assert response['status'] == '405' def test_delete_tiddler_in_bag(): response, content = http.request( 'http://our_test_domain:8001/bags/bag0/tiddlers/TestOne', method='DELETE') assert response['status'] == '204' response, content = http.request( 'http://our_test_domain:8001/bags/bag0/tiddlers/TestOne', method='DELETE') assert response['status'] == '404' def test_delete_tiddler_etag(): response, content = http.request( 'http://our_test_domain:8001/bags/bag5/tiddlers/tiddler0', method='DELETE', headers={'If-Match': '"bag5/tiddler0/9"'}) assert response['status'] == '412' response, content = http.request( 'http://our_test_domain:8001/bags/bag5/tiddlers/tiddler0', method='DELETE', headers={'If-Match': '"bag5/tiddler0/1"'}) assert response['status'] == '204' response, content = http.request( 'http://our_test_domain:8001/bags/bag5/tiddlers/tiddler0', method='DELETE') assert response['status'] == '404' def test_delete_tiddler_in_bag_perms(): _put_policy('bag0', dict(policy=dict(manage=['cdent'], read=['cdent'], write=['cdent'], delete=['cdent']))) response, content = http.request( 'http://our_test_domain:8001/bags/bag0/tiddlers/tiddler0', method='DELETE') assert response['status'] == '403' response, content = http.request( 'http://our_test_domain:8001/bags/bag0/tiddlers/tiddler0', method='DELETE', headers={'Authorization': 'Basic %s' % authorization}) assert response['status'] == '204' response, content = http.request( 'http://our_test_domain:8001/bags/bag0/tiddlers/tiddler0', method='DELETE', headers={'Authorization': 'Basic %s' % authorization}) assert response['status'] == '404' def test_tiddler_no_recipe(): response, content = http.request( 'http://our_test_domain:8001/recipes/short/tiddlers/tiddler8', method='GET') assert response['status'] == '404' def test_binary_text_tiddler(): text = 'alert("hello");' response, content = http.requestU( 'http://our_test_domain:8001/recipes/long/tiddlers/jquery.min.js', method='PUT', headers={'Content-Type': 'text/javascript'}, body=text) assert response['status'] == '204', content response, content = http.requestU( 'http://our_test_domain:8001/recipes/long/tiddlers/jquery.min.js', method='GET') assert response['status'] == '200' assert content == text response, content = http.requestU( 'http://our_test_domain:8001/recipes/long/tiddlers/jquery.min.js', headers={'Accept': 'application/json'}, method='GET') assert response['status'] == '200' assert '"text"' in content response, content = http.requestU( 'http://our_test_domain:8001/recipes/long/tiddlers/jquery.min.js.json', method='GET') assert response['status'] == '200' assert '"text"' in content def test_binary_tiddler(): image = open('test/peermore.png', 'rb') image_content = image.read() image.close() response, content = http.request( 'http://our_test_domain:8001/recipes/long/tiddlers/peermorepng', method='PUT', headers={'Content-Type': 'image/png'}, body=image_content) assert response['status'] == '204' response, content = http.request( 'http://our_test_domain:8001/recipes/long/tiddlers/peermore.png', method='PUT', headers={'Content-Type': 'image/png'}, body=image_content) assert response['status'] == '204' response, content = http.request( 'http://our_test_domain:8001/recipes/long/tiddlers/peermore.foo.png', method='PUT', headers={'Content-Type': 'image/png'}, body=image_content) assert response['status'] == '204' response, content = http.request( 'http://our_test_domain:8001/recipes/long/tiddlers/peermore.foo.bar', method='PUT', headers={'Content-Type': 'image/png'}, body=image_content) assert response['status'] == '204' response, content = http.request( 'http://our_test_domain:8001/recipes/long/tiddlers/peermorepng', method='GET') assert response['status'] == '200' assert response['content-type'] == 'image/png' # make sure a binary tiddler in a recipe doesn't cause a select # filter to blow up response, content = http.request( 'http://our_test_domain:8001/bags/bag1/tiddlers?select=text:hello', method='GET') assert response['status'] == '200' response, content = http.request( 'http://our_test_domain:8001/recipes/long/tiddlers/peermorepng.json', method='GET') assert response['status'] == '200' assert response['content-type'] == 'application/json' response, content = http.request( 'http://our_test_domain:8001/recipes/long/tiddlers/peermorepng', headers={'Accept': 'application/json'}, method='GET') assert response['status'] == '200' assert response['content-type'] == 'application/json' response, content = http.request( 'http://our_test_domain:8001/recipes/long/tiddlers/peermore.png', method='GET') assert response['status'] == '200' assert response['content-type'] == 'image/png' response, content = http.request( 'http://our_test_domain:8001/recipes/long/tiddlers/peermore.png.json', method='GET') assert response['status'] == '200' assert response['content-type'] == 'application/json' response, content = http.request( 'http://our_test_domain:8001/recipes/long/tiddlers/peermore.png', headers={'Accept': 'application/json'}, method='GET') assert response['status'] == '200' assert response['content-type'] == 'application/json' response, content = http.request( 'http://our_test_domain:8001/recipes/long/tiddlers/peermore.foo.png', method='GET') assert response['status'] == '200' assert response['content-type'] == 'image/png' response, content = http.request( 'http://our_test_domain:8001/recipes/long/tiddlers/peermore.foo.png.json', method='GET') assert response['status'] == '200' assert response['content-type'] == 'application/json' response, content = http.request( 'http://our_test_domain:8001/recipes/long/tiddlers/peermore.foo.png', headers={'Accept': 'application/json'}, method='GET') assert response['status'] == '200' assert response['content-type'] == 'application/json' response, content = http.request( 'http://our_test_domain:8001/recipes/long/tiddlers/peermore.foo.bar', method='GET') assert response['status'] == '200' assert response['content-type'] == 'image/png' response, content = http.request( 'http://our_test_domain:8001/recipes/long/tiddlers/peermore.foo.bar.json', method='GET') assert response['status'] == '200' assert response['content-type'] == 'application/json' response, content = http.request( 'http://our_test_domain:8001/recipes/long/tiddlers/peermore.foo.bar', headers={'Accept': 'application/json'}, method='GET') assert response['status'] == '200' assert response['content-type'] == 'application/json' def test_put_json_pseudo_binary(): json_internal = simplejson.dumps(dict(alpha='car', beta='zoom')) json_external = simplejson.dumps(dict(text=json_internal, type='application/json')) response, content = http.requestU( 'http://our_test_domain:8001/bags/bag5/tiddlers/intjson', method='PUT', body=json_external, headers={'Content-Type': 'application/json'}) assert response['status'] == '204', content response, content = http.requestU( 'http://our_test_domain:8001/bags/bag5/tiddlers/intjson.json') assert response['status'] == '200', content info = simplejson.loads(content) assert info['text'] == json_internal response, content = http.requestU( 'http://our_test_domain:8001/bags/bag5/tiddlers/intjson', headers={'Accept': 'application/json'}) assert response['status'] == '200', content assert content == json_internal def test_bad_uri_encoding(): py.test.skip('modern python does not allow this web request') response, content = http.requestU( 'http://our_test_domain:8001/bags/bag5/tiddlers/\x8a\xfa\x91\xd2\x96{\x93y\x98A\xe3\x94\x8c\x80\x92\xf1\x8f\xa1') assert response['status'] == '400', content assert "codec can't" in content def test_tiddler_put_create(): tiddler_data = simplejson.dumps(dict(text='hello')) response, content = http.request( 'http://our_test_domain:8001/bags/bag5/tiddlers/hellotiddler', method='PUT', headers={'If-Match': '"monkeypetard"'}) # no body raises 400 assert response['status'] == '400' response, content = http.request( 'http://our_test_domain:8001/bags/bag5/tiddlers/hellotiddler', method='PUT', headers={'If-Match': '"monkeypetard"'}, body=tiddler_data) # no content type raises 400 assert response['status'] == '400' response, content = http.request( 'http://our_test_domain:8001/bags/bag5/tiddlers/hellotiddler', method='PUT', headers={'Content-Type': 'application/json', 'If-Match': '"monkeypetard"'}, body=tiddler_data) # Bad form ETag causes 412 on create assert response['status'] == '412' response, content = http.request( 'http://our_test_domain:8001/bags/bag5/tiddlers/hellotiddler', method='PUT', headers={'Content-Type': 'application/json', 'If-Match': '"bag5/hellotiddler/99"'}, body=tiddler_data) # Bad form ETag causes 412 on create assert response['status'] == '412' response, content = http.request( 'http://our_test_domain:8001/bags/bag5/tiddlers/hellotiddler', method='PUT', headers={'Content-Type': 'application/json'}, body=tiddler_data) # No ETag we get 204 assert response['status'] == '204' response, content = http.request( 'http://our_test_domain:8001/bags/bag5/tiddlers/hellotiddler2', method='PUT', headers={'Content-Type': 'application/json', 'If-Match': '"bag5/hellotiddler2/0"'}, body=tiddler_data) # Correct ETag we get 204 assert response['status'] == '204' response, content = http.request( 'http://our_test_domain:8001/bags/bag5/tiddlers/hellotiddler2', method='PUT', headers={'Content-Type': 'application/json', 'If-Match': '"bag5/hellotiddler2/1"'}, body=tiddler_data) # Correct ETag we get 204 assert response['status'] == '204' response, content = http.request( 'http://our_test_domain:8001/bags/bag5/tiddlers/hellotiddler2', method='PUT', headers={'Content-Type': 'application/json', 'If-Match': '"bag5/hellotiddler2/2:application/heartattack"'}, body=tiddler_data) # Correct ETag we get 204 assert response['status'] == '204' def test_bad_tags_json_put(): response, content = http.requestU( 'http://our_test_domain:8001/bags/bag5/tiddlers/hellotiddler3', method='PUT', headers={'Content-Type': 'application/json'}, body='{"tags":[["foo","bar","baz"]]}') assert response['status'] == '409' assert 'Unable to put badly formed tiddler' in content def test_put_canonical(): json_data = simplejson.dumps({'fields': { '_canonical_uri': 'http://peermore.com/images/peermore.png'}}) response, content = http.request( 'http://our_test_domain:8001/bags/bag5/tiddlers/cantiddler', method='PUT', headers={'Content-Type': 'application/json'}, body=json_data) assert response['status'] == '204' assert response['location'] == 'http://our_test_domain:8001/bags/bag5/tiddlers/cantiddler' nested_response = None try: response, content = http.request( 'http://our_test_domain:8001/bags/bag5/tiddlers/cantiddler', redirections=0) except httplib2.RedirectLimit as exc: nested_response = exc assert nested_response assert nested_response.response['status'] == '302' assert nested_response.response['location'] == 'http://peermore.com/images/peermore.png' response, content = http.requestU( 'http://our_test_domain:8001/bags/bag5/tiddlers/cantiddler', headers={'Accept': 'application/json'}) assert response['status'] == '200' info = simplejson.loads(content) assert info['fields']['_canonical_uri'] == 'http://peermore.com/images/peermore.png' # vnd.tiddlyweb response, content = http.requestU( 'http://our_test_domain:8001/bags/bag5/tiddlers/cantiddler', headers={'Accept': 'application/vnd.tiddlyweb+json'}) assert response['status'] == '200' info = simplejson.loads(content) assert info['fields']['_canonical_uri'] == 'http://peermore.com/images/peermore.png' response, content = http.requestU( 'http://our_test_domain:8001/bags/bag5/tiddlers/cantiddler.json') assert response['status'] == '200' info = simplejson.loads(content) assert info['fields']['_canonical_uri'] == 'http://peermore.com/images/peermore.png' # immitate browser being defaulty response, content = http.requestU( 'http://our_test_domain:8001/bags/bag5/tiddlers/cantiddler.json', headers={'Accept': 'text/html'}) assert response['status'] == '200' info = simplejson.loads(content) assert info['fields']['_canonical_uri'] == 'http://peermore.com/images/peermore.png' def _put_policy(bag_name, policy_dict): json = simplejson.dumps(policy_dict) response, content = http.request( 'http://our_test_domain:8001/bags/%s' % bag_name, method='PUT', headers={'Content-Type': 'application/json', 'Authorization': 'Basic %s' % authorization}, body=json) assert response['status'] == '204'

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0.228299

44,065

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0.010511

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null

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e96d468e3346803eff03e40cc2dc348e9dc5e753

32,679

py

Python

openmdao.main/src/openmdao/main/test/test_implicit_component.py

MrShoks/OpenMDAO-Framework

412f34ffe31a95631fbe55ca7d75b84669ae8f8c

[ "Apache-2.0" ]

1

2020-06-28T20:38:56.000Z

openmdao.main/src/openmdao/main/test/test_implicit_component.py

MrShoks/OpenMDAO-Framework

412f34ffe31a95631fbe55ca7d75b84669ae8f8c

[ "Apache-2.0" ]

null

openmdao.main/src/openmdao/main/test/test_implicit_component.py

MrShoks/OpenMDAO-Framework

412f34ffe31a95631fbe55ca7d75b84669ae8f8c

[ "Apache-2.0" ]

null

""" Unit test for implicit components, and for the implicit behavior of solvers in a derivatives solve. """ import unittest import numpy as np from scipy.optimize import fsolve from mock import Mock import openmdao.main.implicitcomp from openmdao.lib.drivers.api import BroydenSolver, NewtonSolver from openmdao.main.api import ImplicitComponent, Assembly, set_as_top, Component from openmdao.main.datatypes.api import Float, Array from openmdao.main.test.simpledriver import SimpleDriver from openmdao.test.execcomp import ExecCompWithDerivatives from openmdao.util.testutil import assert_rel_error class ImplicitWithSolver(ImplicitComponent): def solve(self): """Calculates the states that satisfy residuals using scipy.fsolve. You can override this function to provide your own internal solve.""" #print "start solve", self.name x0 = self.get_state() fsolve(self._solve_callback, x0, xtol=1e-12) #print "end solve", self.name def _solve_callback(self, X): """This function is passed to the internal solver to set a new state, evaluate the residuals, and return them.""" self.set_state(X) self.evaluate() return self.get_residuals() class MyComp_No_Deriv(ImplicitWithSolver): ''' Single implicit component with 3 states and residuals. For c=2.0, (x,y,z) = (1.0, -2.333333, -2.1666667) ''' # External inputs c = Float(2.0, iotype="in", fd_step=.00001, desc="arbitrary constant that is not iterated on but does affect the results") # States x = Float(0.0, iotype="state") y = Float(0.0, iotype="state") z = Float(0.0, iotype="state") # Residuals res = Array(np.zeros((3)), iotype="residual") # Outputs y_out = Float(iotype='out') def evaluate(self): """run a single step to calculate the residual values for the given state var values""" c, x, y, z = self.c, self.x, self.y, self.z self.res[0] = self.c*(3*x + 2*y - z) - 1 self.res[1] = 2*x - 2*y + 4*z + 2 self.res[2] = -x + y/2. - z self.y_out = c + x + y + z #print c, x, y, z, self.res class MyComp_Explicit(Component): ''' Single implicit component with 3 states and residuals. For c=2.0, (x,y,z) = (1.0, -2.333333, -2.1666667) ''' # External inputs c = Float(2.0, iotype="in", fd_step=.00001, desc="arbitrary constant that is not iterated on but does affect the results") # States x = Float(0.0, iotype="in") y = Float(0.0, iotype="in") z = Float(0.0, iotype="in") # Residuals res = Array(np.zeros((3)), iotype="out") # Outputs y_out = Float(iotype='out') def execute(self): """run a single step to calculate the residual values for the given state var values""" c, x, y, z = self.c, self.x, self.y, self.z self.res[0] = self.c*(3*x + 2*y - z) - 1 self.res[1] = 2*x - 2*y + 4*z + 2 self.res[2] = -x + y/2. - z self.y_out = c + x + y + z #print c, x, y, z, self.res class MyComp_Deriv(MyComp_No_Deriv): ''' This time with derivatives. ''' def provideJ(self): #partial w.r.t c c, x, y, z = self.c, self.x, self.y, self.z dc = [3*x + 2*y - z, 0, 0] dx = [3*c, 2, -1] dy = [2*c, -2, .5] dz = [-c, 4, -1] self.J_res_state = np.array([dx, dy, dz]).T self.J_res_input = np.array([dc]).T self.J_output_input = np.array([[1.0]]) self.J_output_state = np.array([[1.0, 1.0, 1.0]]) def list_deriv_vars(self): input_keys = ('x', 'y', 'z', 'c') output_keys = ('res', 'y_out') return input_keys, output_keys def apply_deriv(self, arg, result): # Residual Equation derivatives res = self.list_residuals()[0] if res in result: # wrt States for k, state in enumerate(self.list_states()): if state in arg: result[res] += self.J_res_state[:, k]*arg[state] # wrt External inputs for k, inp in enumerate(['c']): if inp in arg: result[res] += self.J_res_input[:, k]*arg[inp] # Output Equation derivatives for j, outp in enumerate(['y_out']): if outp in result: # wrt States for k, state in enumerate(self.list_states()): if state in arg: result[outp] += self.J_output_state[j, k]*arg[state] # wrt External inputs for k, inp in enumerate(['c']): if inp in arg: result[outp] += self.J_output_input[j, k]*arg[inp] def apply_derivT(self, arg, result): # wrt States for k, state in enumerate(self.list_states()): if state in result: # Residual Equation derivatives res = self.list_residuals()[0] if res in arg: result[state] += self.J_res_state.T[k, :].dot(arg[res]) # Output Equation derivatives for j, outp in enumerate(['y_out']): if outp in arg: result[state] += self.J_output_state.T[k, j]*arg[outp] # wrt External inputs for k, inp in enumerate(['c']): if inp in result: # Residual Equation derivatives res = self.list_residuals()[0] if res in arg: result[inp] += self.J_res_input.T[k, :].dot(arg[res]) # Output Equation derivatives for j, outp in enumerate(['y_out']): if outp in arg: result[inp] += self.J_output_input.T[k, j]*arg[outp] class MyComp_Deriv_ProvideJ(MyComp_No_Deriv): ''' This time with derivatives. ''' def provideJ(self): #partial w.r.t c c, x, y, z = self.c, self.x, self.y, self.z dc = [3*x + 2*y - z, 0, 0] dx = [3*c, 2, -1] dy = [2*c, -2, .5] dz = [-c, 4, -1] J_res = np.array([dx, dy, dz, dc]).T J_output = np.array([[1.0, 1.0, 1.0, 1.0]]) self.J = np.vstack((J_res, J_output)) return self.J def list_deriv_vars(self): input_keys = ('x', 'y', 'z', 'c') output_keys = ('res', 'y_out') return input_keys, output_keys class Coupled1(ImplicitWithSolver): ''' This comp only has the first 2 states (x, y). For c=2.0, (x,y,z) = (1.0, -2.333333, -2.1666667) ''' # External inputs c = Float(2.0, iotype="in", desc="arbitrary constant that is not iterated on but does affect the results") z = Float(0.0, iotype="in") # States x = Float(0.0, iotype="state") y = Float(0.0, iotype="state") # Residuals res = Array(np.zeros((2)), iotype="residual") # Outputs y_out = Float(iotype='out') def evaluate(self): """run a single step to calculate the residual values for the given state var values""" c, x, y, z = self.c, self.x, self.y, self.z self.res[0] = self.c*(3*x + 2*y - z) - 1 self.res[1] = 2*x - 2*y + 4*z + 2 self.y_out = c + x + y + z #print x, y, z, c, self.y_out, self.res def list_deriv_vars(self): return ('x', 'y', 'z', 'c'), ('res', 'y_out') def provideJ(self): #partial w.r.t c c, x, y, z = self.c, self.x, self.y, self.z dc = [3*x + 2*y - z, 0] dx = [3*c, 2] dy = [2*c, -2] dz = [-c, 4] self.J_res_state = np.array([dx, dy]).T self.J_res_input = np.array([dc, dz]).T self.J_output_input = np.array([[1.0, 1.0]]) self.J_output_state = np.array([[1.0, 1.0]]) def apply_deriv(self, arg, result): # Residual Equation derivatives if 'res' in result: # wrt States for k, state in enumerate(self.list_states()): if state in arg: result['res'] += self.J_res_state[:, k]*arg[state] # wrt External inputs for k, state in enumerate(['c', 'z']): if state in arg: result['res'] += self.J_res_input[:, k]*arg[state] # Output Equation derivatives for j, res in enumerate(['y_out']): if res in result: # wrt States for k, state in enumerate(self.list_states()): if state in arg: result[res] += self.J_output_state[j, k]*arg[state] # wrt External inputs for k, state in enumerate(['c', 'z']): if state in arg: result[res] += self.J_output_input[j, k]*arg[state] def apply_derivT(self, arg, result): """ Not using it, so let's just define it. """ self.raise_exception("Should never get here.", RunTimeError) class Coupled2(ImplicitWithSolver): ''' This comp only has the last state (z). For c=2.0, (x,y,z) = (1.0, -2.333333, -2.1666667) ''' # External inputs c = Float(2.0, iotype="in", desc="arbitrary constant that is not iterated on but does affect the results") x = Float(0.0, iotype="in") y = Float(0.0, iotype="in") # States z = Float(0.0, iotype="state") # Residuals res = Array(np.zeros((1)), iotype="residual") # Outputs y_out = Float(iotype='out') def evaluate(self): """run a single step to calculate the residual values for the given state var values""" c, x, y, z = self.c, self.x, self.y, self.z self.res[0] = -x + y/2. - z self.y_out = c + x + y + z #print x, y, z, c, self.y_out, self.res def provideJ(self): #partial w.r.t c c, x, y, z = self.c, self.x, self.y, self.z dc = [0] dx = [-1.0] dy = [.5] dz = [-1.0] self.J_res_state = np.array([dz]) self.J_res_input = np.array([dc, dx, dy]).T self.J_output_input = np.array([[1.0, 1.0, 1.0]]) self.J_output_state = np.array([[1.0]]) def list_deriv_vars(self): return ('x', 'y', 'z', 'c'), ('res', 'y_out') def apply_deriv(self, arg, result): # Residual Equation derivatives if 'res' in result: # wrt States for k, state in enumerate(self.list_states()): if state in arg: result['res'] += self.J_res_state[:, k]*arg[state] # wrt External inputs for k, state in enumerate(['c', 'x', 'y']): if state in arg: result['res'] += self.J_res_input[:, k]*arg[state] # Output Equation derivatives for j, res in enumerate(['y_out']): if res in result: # wrt States for k, state in enumerate(self.list_states()): if state in arg: result[res] += self.J_output_state[j, k]*arg[state] # wrt External inputs for k, state in enumerate(['c', 'x', 'y']): if state in arg: result[res] += self.J_output_input[j, k]*arg[state] def apply_derivT(self, arg, result): """ Not using it, so let's just define it. """ self.raise_exception("Should never get here.", RunTimeError) class MyComp_Full_Array(ImplicitWithSolver): ''' Single implicit component with 3 states and residuals, all as arrays. For c=2.0, (x,y,z) = (1.0, -2.333333, -2.1666667) ''' # External inputs c = Float(2.0, iotype="in", fd_step=.00001, desc="arbitrary constant that is not iterated on but does affect the results") # States xx = Array(np.zeros((3)), iotype="state") # Residuals res = Array(np.zeros((3)), iotype="residual") # Outputs y_out = Float(iotype='out') def evaluate(self): """run a single step to calculate the residual values for the given state var values""" c, x, y, z = self.c, self.xx[0], self.xx[1], self.xx[2] self.res[0] = self.c*(3*x + 2*y - z) - 1 self.res[1] = 2*x - 2*y + 4*z + 2 self.res[2] = -x + y/2. - z self.y_out = c + x + y + z #print c, x, y, z, self.res class Testcase_implicit(unittest.TestCase): """A variety of tests for implicit components. """ def test_single_comp_self_solve(self): model = set_as_top(Assembly()) model.add('comp', MyComp_Deriv()) model.driver.workflow.add('comp') model.comp.eval_only = False model.run() assert_rel_error(self, model.comp.x, 1.0, 1e-5) assert_rel_error(self, model.comp.y, -2.33333333, 1e-5) assert_rel_error(self, model.comp.z, -2.16666667, 1e-5) assert_rel_error(self, model.comp.y_out, -1.5, 1e-5) def test_single_array_comp_self_solve(self): model = set_as_top(Assembly()) model.add('comp', MyComp_Full_Array()) model.driver.workflow.add('comp') model.comp.eval_only = False model.run() assert_rel_error(self, model.comp.xx[0], 1.0, 1e-5) assert_rel_error(self, model.comp.xx[1], -2.33333333, 1e-5) assert_rel_error(self, model.comp.xx[2], -2.16666667, 1e-5) assert_rel_error(self, model.comp.y_out, -1.5, 1e-5) def test_single_comp_self_solve_no_deriv(self): model = set_as_top(Assembly()) model.add('comp', MyComp_No_Deriv()) model.driver.workflow.add('comp') model.comp.eval_only = False model.run() assert_rel_error(self, model.comp.x, 1.0, 1e-5) assert_rel_error(self, model.comp.y, -2.33333333, 1e-5) assert_rel_error(self, model.comp.z, -2.16666667, 1e-5) assert_rel_error(self, model.comp.y_out, -1.5, 1e-5) def test_single_comp_external_solve(self): model = set_as_top(Assembly()) model.add('comp', MyComp_Deriv()) #model.add('driver', BroydenSolver()) model.add('driver', NewtonSolver()) model.driver.workflow.add('comp') model.driver.add_parameter('comp.x', low=-100, high=100) model.driver.add_parameter('comp.y', low=-100, high=100) model.driver.add_parameter('comp.z', low=-100, high=100) model.driver.add_constraint('comp.res[0] = 0') model.driver.add_constraint('comp.res[1] = 0') model.driver.add_constraint('comp.res[2] = 0') model.comp.eval_only = True model.run() assert_rel_error(self, model.comp.x, 1.0, 1e-5) assert_rel_error(self, model.comp.y, -2.33333333, 1e-5) assert_rel_error(self, model.comp.z, -2.16666667, 1e-5) assert_rel_error(self, model.comp.y_out, -1.5, 1e-5) def test_coupled_comps_internal_solve(self): model = set_as_top(Assembly()) model.add('comp1', Coupled1()) model.add('comp2', Coupled2()) model.add('driver', BroydenSolver()) model.driver.workflow.add(['comp1', 'comp2']) model.comp1.eval_only = False model.comp2.eval_only = False model.comp1.force_fd = False model.comp2.force_fd = False #model.connect('comp1.x', 'comp2.x') #model.connect('comp1.y', 'comp2.y') #model.connect('comp2.z', 'comp1.z') model.driver.add_parameter('comp1.z', low=-100, high=100) model.driver.add_parameter('comp2.x', low=-100, high=100) model.driver.add_parameter('comp2.y', low=-100, high=100) model.driver.add_constraint('comp1.z = comp2.z') model.driver.add_constraint('comp2.x = comp1.x') model.driver.add_constraint('comp2.y = comp1.y') model.run() assert_rel_error(self, model.comp1.x, 1.0, 1e-5) assert_rel_error(self, model.comp1.y, -2.33333333, 1e-5) assert_rel_error(self, model.comp2.z, -2.16666667, 1e-5) assert_rel_error(self, model.comp1.y_out, -1.5, 1e-5) def test_coupled_comps_external_solve(self): model = set_as_top(Assembly()) model.add('comp1', Coupled1()) model.add('comp2', Coupled2()) model.add('driver', NewtonSolver()) model.driver.workflow.add(['comp1', 'comp2']) model.connect('comp1.x', 'comp2.x') model.connect('comp1.y', 'comp2.y') model.connect('comp2.z', 'comp1.z') model.driver.add_parameter('comp1.x', low=-100, high=100) model.driver.add_parameter('comp1.y', low=-100, high=100) model.driver.add_parameter('comp2.z', low=-100, high=100) model.driver.add_constraint('comp1.res[0] = 0') model.driver.add_constraint('comp1.res[1] = 0') model.driver.add_constraint('comp2.res[0] = 0') model.comp1.eval_only = True model.comp2.eval_only = True model.run() assert_rel_error(self, model.comp1.x, 1.0, 1e-5) assert_rel_error(self, model.comp1.y, -2.33333333, 1e-5) assert_rel_error(self, model.comp2.z, -2.16666667, 1e-5) assert_rel_error(self, model.comp1.y_out, -1.5, 1e-5) def test_derivative(self): model = set_as_top(Assembly()) model.add('comp', MyComp_Deriv()) model.add('driver', SimpleDriver()) model.driver.workflow.add('comp') model.driver.add_parameter('comp.c', low=-1000, high=1000) model.driver.add_objective('comp.y_out') model.comp.eval_only = False model.run() J = model.driver.calc_gradient(inputs=['comp.c'], outputs=['comp.y_out']) #print J assert_rel_error(self, J[0][0], 0.75, 1e-5) J = model.driver.calc_gradient(inputs=['comp.c'], outputs=['comp.y_out'], mode='fd') #print J assert_rel_error(self, J[0][0], 0.75, 2e-3) J = model.driver.calc_gradient(inputs=['comp.c'], outputs=['comp.y_out'], mode='adjoint') #print J assert_rel_error(self, J[0][0], 0.75, 2e-3) def test_derivative_state_connection_internal_solve_ProvideJ(self): model = set_as_top(Assembly()) model.add('driver', SimpleDriver()) model.add('comp', MyComp_Deriv_ProvideJ()) model.comp.add('c', Float(2.0, iotype="in")) model.add('comp2', ExecCompWithDerivatives(["y=2*x"], ["dy_dx=2"])) model.driver.workflow.add(['comp', 'comp2']) model.connect('comp.z', 'comp2.x') model.comp.eval_only = False model.run() #print model.comp.x, model.comp.y, model.comp.z, model.comp.res J = model.driver.calc_gradient(inputs=['comp.c'], outputs=['comp2.y'], mode='forward') assert_rel_error(self, J[0][0], -0.1666, 2e-3) J = model.driver.calc_gradient(inputs=['comp.c'], outputs=['comp2.y'], mode='adjoint') assert_rel_error(self, J[0][0], -0.1666, 2e-3) J = model.driver.calc_gradient(inputs=['comp.c'], outputs=['comp2.y'], mode='fd') assert_rel_error(self, J[0][0], -0.1666, 2e-3) def test_derivative_state_connection_internal_solve_apply_deriv(self): model = set_as_top(Assembly()) model.add('driver', SimpleDriver()) model.add('comp', MyComp_Deriv()) model.comp.add('c', Float(2.0, iotype="in")) model.comp.eval_only = False model.add('comp2', ExecCompWithDerivatives(["y=2*x"], ["dy_dx=2"])) model.driver.workflow.add(['comp', 'comp2']) model.connect('comp.z', 'comp2.x') model.run() #print model.comp.x, model.comp.y, model.comp.z, model.comp.res J = model.driver.calc_gradient(inputs=['comp.c'], outputs=['comp2.y']) assert_rel_error(self, J[0][0], -0.1666, 2e-3) J = model.driver.calc_gradient(inputs=['comp.c'], outputs=['comp2.y'], mode='adjoint') assert_rel_error(self, J[0][0], -0.1666, 2e-3) J = model.driver.calc_gradient(inputs=['comp.c'], outputs=['comp2.y'], mode='fd') assert_rel_error(self, J[0][0], -0.1666, 2e-3) def test_derivative_state_connection_external_solve_ProvideJ(self): model = set_as_top(Assembly()) model.add('driver', SimpleDriver()) model.add('comp', MyComp_Deriv_ProvideJ()) model.comp.add('c', Float(2.0, iotype="in", fd_step=.001)) model.add('comp2', ExecCompWithDerivatives(["y=2*x"], ["dy_dx=2"])) model.add('solver', BroydenSolver()) model.solver.workflow.add(['comp', 'comp2']) model.driver.workflow.add(['solver']) model.connect('comp.z', 'comp2.x') model.solver.add_parameter('comp.x', low=-100, high=100) model.solver.add_parameter('comp.y', low=-100, high=100) model.solver.add_parameter('comp.z', low=-100, high=100) model.solver.add_constraint('comp.res[0] = 0') model.solver.add_constraint('comp.res[1] = 0') model.solver.add_constraint('comp.res[2] = 0') model.comp.eval_only = True model.run() #print model.comp.x, model.comp.y, model.comp.z, model.comp.res J = model.driver.calc_gradient(inputs=['comp.c'], outputs=['comp2.y'], mode='forward') assert_rel_error(self, J[0][0], -0.1666, 2e-3) J = model.driver.calc_gradient(inputs=['comp.c'], outputs=['comp2.y'], mode='adjoint') assert_rel_error(self, J[0][0], -0.1666, 2e-3) J = model.driver.calc_gradient(inputs=['comp.c'], outputs=['comp2.y'], mode='fd') assert_rel_error(self, J[0][0], -0.1666, 2e-3) def test_derivative_state_connection_external_solve_apply_deriv_not_implicit(self): model = set_as_top(Assembly()) model.add('driver', SimpleDriver()) model.add('comp', MyComp_Explicit()) model.comp.add('c', Float(2.0, iotype="in", fd_step=.001)) model.add('comp2', ExecCompWithDerivatives(["y=2*x"], ["dy_dx=2"])) model.add('solver', BroydenSolver()) model.solver.workflow.add(['comp']) model.driver.workflow.add(['solver', 'comp2']) model.connect('comp.z', 'comp2.x') model.solver.add_parameter('comp.x', low=-100, high=100) model.solver.add_parameter('comp.y', low=-100, high=100) model.solver.add_parameter('comp.z', low=-100, high=100) model.solver.add_constraint('comp.res[0] = 0') model.solver.add_constraint('comp.res[1] = 0') model.solver.add_constraint('comp.res[2] = 0') model.run() #print model.comp.x, model.comp.y, model.comp.z, model.comp.res J = model.driver.calc_gradient(inputs=['comp.c'], outputs=['comp2.y']) assert_rel_error(self, J[0][0], -0.1666, 2e-3) J = model.driver.calc_gradient(inputs=['comp.c'], outputs=['comp2.y'], mode='adjoint') assert_rel_error(self, J[0][0], -0.1666, 2e-3) J = model.driver.calc_gradient(inputs=['comp.c'], outputs=['comp2.y'], mode='fd') assert_rel_error(self, J[0][0], -0.1666, 2e-3) def test_derivative_no_deriv(self): model = set_as_top(Assembly()) model.add('driver', SimpleDriver()) model.add('comp', MyComp_No_Deriv()) model.driver.workflow.add('comp') model.comp.eval_only = False model.run() J = model.driver.calc_gradient(inputs=['comp.c'], outputs=['comp.y_out']) #print J assert_rel_error(self, J[0][0], 0.75, 2e-3) J = model.driver.calc_gradient(inputs=['comp.c'], outputs=['comp.y_out'], mode='fd') #print J assert_rel_error(self, J[0][0], 0.75, 2e-3) J = model.driver.calc_gradient(inputs=['comp.c'], outputs=['comp.y_out'], mode='adjoint') #print J assert_rel_error(self, J[0][0], 0.75, 2e-3) def test_derivative_nested_solver(self): model = set_as_top(Assembly()) model.add('driver', SimpleDriver()) model.add('comp', MyComp_Deriv()) model.add('solver', BroydenSolver()) model.driver.workflow.add('solver') model.solver.workflow.add('comp') model.solver.tol = 0.0000001 model.solver.add_parameter('comp.x', low=-100, high=100) model.solver.add_parameter('comp.y', low=-100, high=100) model.solver.add_parameter('comp.z', low=-100, high=100) model.solver.add_constraint('comp.res[0] = 0') model.solver.add_constraint('comp.res[1] = 0') model.solver.add_constraint('comp.res[2] = 0') model.comp.eval_only = True model.run() J = model.driver.calc_gradient(inputs=['comp.c'], outputs=['comp.y_out']) #print J assert_rel_error(self, J[0][0], 0.75, 1e-5) J = model.driver.calc_gradient(inputs=['comp.c'], outputs=['comp.y_out'], mode='adjoint') #print J assert_rel_error(self, J[0][0], 0.75, 1e-5) J = model.driver.calc_gradient(inputs=['comp.c'], outputs=['comp.y_out'], mode='fd') #print J assert_rel_error(self, J[0][0], 0.75, 1e-5) def test_derivative_nested_solver_no_deriv(self): model = set_as_top(Assembly()) model.add('driver', SimpleDriver()) model.add('comp', MyComp_No_Deriv()) model.add('solver', BroydenSolver()) model.driver.workflow.add('solver') model.solver.workflow.add('comp') model.solver.tol = 0.0000001 model.solver.add_parameter('comp.x', low=-100, high=100) model.solver.add_parameter('comp.y', low=-100, high=100) model.solver.add_parameter('comp.z', low=-100, high=100) model.solver.add_constraint('comp.res[0] = 0') model.solver.add_constraint('comp.res[1] = 0') model.solver.add_constraint('comp.res[2] = 0') model.comp.eval_only = True model.run() J = model.driver.calc_gradient(inputs=['comp.c'], outputs=['comp.y_out']) #print J assert_rel_error(self, J[0][0], 0.75, 1e-5) J = model.driver.calc_gradient(inputs=['comp.c'], outputs=['comp.y_out'], mode='adjoint') #print J assert_rel_error(self, J[0][0], 0.75, 1e-5) J = model.driver.calc_gradient(inputs=['comp.c'], outputs=['comp.y_out'], mode='fd') #print J assert_rel_error(self, J[0][0], 0.75, 1e-5) def test_solver_nested_under_double_nested_driver(self): model = set_as_top(Assembly()) model.add('driver', SimpleDriver()) model.add('comp', MyComp_Deriv()) model.add('subdriver', SimpleDriver()) model.add('solver', BroydenSolver()) model.driver.workflow.add('subdriver') model.subdriver.workflow.add('solver') model.solver.workflow.add('comp') model.solver.tol = 0.0000001 model.solver.add_parameter('comp.x', low=-100, high=100) model.solver.add_parameter('comp.y', low=-100, high=100) model.solver.add_parameter('comp.z', low=-100, high=100) model.solver.add_constraint('comp.res[0] = 0') model.solver.add_constraint('comp.res[1] = 0') model.solver.add_constraint('comp.res[2] = 0') model.driver.add_parameter('comp.c', low=-100, high=100) model.driver.add_objective('comp.y_out') model.comp.eval_only = True model.run() J = model.driver.calc_gradient(inputs=['comp.c'], outputs=['comp.y_out']) #print J assert_rel_error(self, J[0][0], 0.75, 1e-5) J = model.driver.calc_gradient(inputs=['comp.c'], outputs=['comp.y_out'], mode='adjoint') #print J assert_rel_error(self, J[0][0], 0.75, 1e-5) J = model.driver.calc_gradient(inputs=['comp.c'], outputs=['comp.y_out'], mode='fd') #print J assert_rel_error(self, J[0][0], 0.75, 1e-5) def test_solver_nested_under_double_nested_driver_no_deriv(self): model = set_as_top(Assembly()) model.add('driver', SimpleDriver()) model.add('comp', MyComp_No_Deriv()) model.add('subdriver', SimpleDriver()) model.add('solver', BroydenSolver()) model.driver.workflow.add('subdriver') model.subdriver.workflow.add('solver') model.solver.workflow.add('comp') model.solver.tol = 0.0000001 model.solver.add_parameter('comp.x', low=-100, high=100) model.solver.add_parameter('comp.y', low=-100, high=100) model.solver.add_parameter('comp.z', low=-100, high=100) model.solver.add_constraint('comp.res[0] = 0') model.solver.add_constraint('comp.res[1] = 0') model.solver.add_constraint('comp.res[2] = 0') model.driver.add_parameter('comp.c', low=-100, high=100) model.driver.add_objective('comp.y_out') model.comp.eval_only = True model.run() J = model.driver.calc_gradient(inputs=['comp.c'], outputs=['comp.y_out']) #print J assert_rel_error(self, J[0][0], 0.75, 1e-5) J = model.driver.calc_gradient(inputs=['comp.c'], outputs=['comp.y_out'], mode='adjoint') #print J assert_rel_error(self, J[0][0], 0.75, 1e-5) J = model.driver.calc_gradient(inputs=['comp.c'], outputs=['comp.y_out'], mode='fd') #print J assert_rel_error(self, J[0][0], 0.75, 1e-5) def test_solver_nested_under_double_nested_driver_boundary_var_no_deriv(self): model = set_as_top(Assembly()) model.add('comp', MyComp_No_Deriv()) model.add('bvar', Float(0.0, iotype='in')) model.add('driver', SimpleDriver()) model.add('subdriver', SimpleDriver()) model.driver.workflow.add('subdriver') model.subdriver.workflow.add('comp') model.subdriver.add_parameter('comp.c', low=-100, high=100) model.subdriver.add_objective('comp.y_out - bvar') model.driver.add_parameter('bvar', low=-100, high=100) model.driver.add_objective('bvar - comp.y_out') model.comp.eval_only = True model.run() J = model.driver.workflow.calc_gradient() def test_list_states(self): comp = MyComp_Deriv() self.assertEqual(set(comp.list_states()), set(['x', 'y', 'z'])) def test_list_residuals(self): comp = MyComp_Deriv() self.assertEqual(set(comp.list_residuals()), set(['res'])) if __name__ == '__main__': import nose import sys sys.argv.append('--cover-package=openmdao') sys.argv.append('--cover-erase') nose.runmodule()

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e96ef51d6c0819549949b4cda11c7702c7176696

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Python

devilry/devilry_admin/tests/period/test_crinstance_period.py

devilry/devilry-django

9ae28e462dfa4cfee966ebacbca04ade9627e715

[ "BSD-3-Clause" ]

29

2015-01-18T22:56:23.000Z

2020-11-10T21:28:27.000Z

devilry/devilry_admin/tests/period/test_crinstance_period.py

devilry/devilry-django

9ae28e462dfa4cfee966ebacbca04ade9627e715

[ "BSD-3-Clause" ]

786

2015-01-06T16:10:18.000Z

2022-03-16T11:10:50.000Z

devilry/devilry_admin/tests/period/test_crinstance_period.py

devilry/devilry-django

9ae28e462dfa4cfee966ebacbca04ade9627e715

[ "BSD-3-Clause" ]

15

2015-04-06T06:18:43.000Z

2021-02-24T12:28:30.000Z

import mock from django.conf import settings from django.http import Http404 from django.test import TestCase, RequestFactory from model_bakery import baker from devilry.apps.core.models import Assignment from devilry.devilry_account.models import PermissionGroup from devilry.devilry_admin.views.period import crinstance_period class TestCrAdminInstance(TestCase): def test_get_rolequeryset_not_admin(self): baker.make('core.Period') testuser = baker.make(settings.AUTH_USER_MODEL) request = RequestFactory().get('/test') request.user = testuser instance = crinstance_period.CrAdminInstance(request=request) self.assertEqual([], list(instance.get_rolequeryset())) def test_get_rolequeryset_superuser(self): testperiod = baker.make('core.Period') request = RequestFactory().get('/test') testuser = baker.make(settings.AUTH_USER_MODEL, is_superuser=True) request.user = testuser instance = crinstance_period.CrAdminInstance(request=request) self.assertEqual([testperiod], list(instance.get_rolequeryset())) def test_get_rolequeryset_admin_on_period(self): testperiod = baker.make('core.Period') periodpermissiongroup = baker.make('devilry_account.PeriodPermissionGroup', period=testperiod) testuser = baker.make(settings.AUTH_USER_MODEL) baker.make('devilry_account.PermissionGroupUser', user=testuser, permissiongroup=periodpermissiongroup.permissiongroup) request = RequestFactory().get('/test') request.user = testuser instance = crinstance_period.CrAdminInstance(request=request) self.assertEqual([testperiod], list(instance.get_rolequeryset())) def test_get_rolequeryset_admin_on_subject(self): testperiod = baker.make('core.Period') subjectpermissiongroup = baker.make('devilry_account.SubjectPermissionGroup', subject=testperiod.subject) testuser = baker.make(settings.AUTH_USER_MODEL) baker.make('devilry_account.PermissionGroupUser', user=testuser, permissiongroup=subjectpermissiongroup.permissiongroup) request = RequestFactory().get('/test') request.user = testuser instance = crinstance_period.CrAdminInstance(request=request) self.assertEqual([testperiod], list(instance.get_rolequeryset())) def test_get_devilryrole_for_requestuser_not_admin(self): testperiod = baker.make('core.Period') testuser = baker.make(settings.AUTH_USER_MODEL) request = RequestFactory().get('/test') request.user = testuser request.cradmin_role = testperiod instance = crinstance_period.CrAdminInstance(request=request) with self.assertRaises(ValueError): instance.get_devilryrole_for_requestuser() def test_get_devilryrole_for_requestuser_superuser(self): testperiod = baker.make('core.Period') testuser = baker.make(settings.AUTH_USER_MODEL, is_superuser=True) request = RequestFactory().get('/test') request.user = testuser request.cradmin_role = testperiod instance = crinstance_period.CrAdminInstance(request=request) self.assertEqual('departmentadmin', instance.get_devilryrole_for_requestuser()) def test_get_devilryrole_for_requestuser_subjectadmin(self): testperiod = baker.make('core.Period') subjectpermissiongroup = baker.make('devilry_account.SubjectPermissionGroup', permissiongroup__grouptype=PermissionGroup.GROUPTYPE_SUBJECTADMIN, subject=testperiod.subject) testuser = baker.make(settings.AUTH_USER_MODEL) baker.make('devilry_account.PermissionGroupUser', user=testuser, permissiongroup=subjectpermissiongroup.permissiongroup) request = RequestFactory().get('/test') request.user = testuser request.cradmin_role = testperiod instance = crinstance_period.CrAdminInstance(request=request) self.assertEqual('subjectadmin', instance.get_devilryrole_for_requestuser()) def test_get_devilryrole_for_requestuser_departmentadmin(self): testperiod = baker.make('core.Period') subjectpermissiongroup = baker.make('devilry_account.SubjectPermissionGroup', permissiongroup__grouptype=PermissionGroup.GROUPTYPE_DEPARTMENTADMIN, subject=testperiod.subject) testuser = baker.make(settings.AUTH_USER_MODEL) baker.make('devilry_account.PermissionGroupUser', user=testuser, permissiongroup=subjectpermissiongroup.permissiongroup) request = RequestFactory().get('/test') request.user = testuser request.cradmin_role = testperiod instance = crinstance_period.CrAdminInstance(request=request) self.assertEqual('departmentadmin', instance.get_devilryrole_for_requestuser()) def test_get_devilryrole_for_requestuser_periodadmin(self): testperiod = baker.make('core.Period') periodpermissiongroup = baker.make('devilry_account.PeriodPermissionGroup', period=testperiod) testuser = baker.make(settings.AUTH_USER_MODEL) baker.make('devilry_account.PermissionGroupUser', user=testuser, permissiongroup=periodpermissiongroup.permissiongroup) request = RequestFactory().get('/test') request.user = testuser request.cradmin_role = testperiod instance = crinstance_period.CrAdminInstance(request=request) self.assertEqual('periodadmin', instance.get_devilryrole_for_requestuser()) def test_period_admin_access_restricted_period_has_no_semi_anonymous_assignments(self): testperiod = baker.make('core.Period') baker.make('core.Assignment', parentnode=testperiod) periodpermissiongroup = baker.make('devilry_account.PeriodPermissionGroup', period=testperiod) testuser = baker.make(settings.AUTH_USER_MODEL) baker.make('devilry_account.PermissionGroupUser', user=testuser, permissiongroup=periodpermissiongroup.permissiongroup) request = RequestFactory().get('/test') request.user = testuser request.cradmin_role = testperiod instance = crinstance_period.CrAdminInstance(request=request) self.assertFalse(instance.period_admin_access_semi_anonymous_assignments_restricted()) def test_period_admin_access_restricted_period_has_semi_anonymous_assignments(self): testperiod = baker.make('core.Period') baker.make('core.Assignment', parentnode=testperiod) baker.make('core.Assignment', parentnode=testperiod, anonymizationmode=Assignment.ANONYMIZATIONMODE_SEMI_ANONYMOUS) periodpermissiongroup = baker.make('devilry_account.PeriodPermissionGroup', period=testperiod) testuser = baker.make(settings.AUTH_USER_MODEL) baker.make('devilry_account.PermissionGroupUser', user=testuser, permissiongroup=periodpermissiongroup.permissiongroup) request = RequestFactory().get('/test') request.user = testuser request.cradmin_role = testperiod instance = crinstance_period.CrAdminInstance(request=request) self.assertTrue(instance.period_admin_access_semi_anonymous_assignments_restricted()) def test_period_admin_access_subject_admin_has_access(self): testsubject = baker.make('core.Subject') testperiod = baker.make('core.Period', parentnode=testsubject) baker.make('core.Assignment', parentnode=testperiod) baker.make('core.Assignment', parentnode=testperiod, anonymizationmode=Assignment.ANONYMIZATIONMODE_SEMI_ANONYMOUS) subjectpermissiongroup = baker.make('devilry_account.SubjectPermissionGroup', subject=testsubject, permissiongroup__grouptype=PermissionGroup.GROUPTYPE_SUBJECTADMIN) testuser = baker.make(settings.AUTH_USER_MODEL) baker.make('devilry_account.PermissionGroupUser', user=testuser, permissiongroup=subjectpermissiongroup.permissiongroup) request = RequestFactory().get('/test') request.user = testuser request.cradmin_role = testperiod instance = crinstance_period.CrAdminInstance(request=request) self.assertFalse(instance.period_admin_access_semi_anonymous_assignments_restricted()) def test_period_admin_access_department_admin_has_access(self): testperiod = baker.make('core.Period') baker.make('core.Assignment', parentnode=testperiod) baker.make('core.Assignment', parentnode=testperiod, anonymizationmode=Assignment.ANONYMIZATIONMODE_SEMI_ANONYMOUS) subjectpermissiongroup = baker.make('devilry_account.SubjectPermissionGroup', subject=testperiod.subject, permissiongroup__grouptype=PermissionGroup.GROUPTYPE_DEPARTMENTADMIN) testuser = baker.make(settings.AUTH_USER_MODEL) baker.make('devilry_account.PermissionGroupUser', user=testuser, permissiongroup=subjectpermissiongroup.permissiongroup) request = RequestFactory().get('/test') request.user = testuser request.cradmin_role = testperiod instance = crinstance_period.CrAdminInstance(request=request) self.assertFalse(instance.period_admin_access_semi_anonymous_assignments_restricted()) def test_period_admin_access_superuser_has_access(self): testperiod = baker.make('core.Period') baker.make('core.Assignment', parentnode=testperiod) baker.make('core.Assignment', parentnode=testperiod, anonymizationmode=Assignment.ANONYMIZATIONMODE_SEMI_ANONYMOUS) testuser = baker.make(settings.AUTH_USER_MODEL, is_superuser=True) request = RequestFactory().get('/test') request.user = testuser request.cradmin_role = testperiod instance = crinstance_period.CrAdminInstance(request=request) self.assertFalse(instance.period_admin_access_semi_anonymous_assignments_restricted()) def test_get_role_from_rolequeryset_raises_404_for_qualifiesforexam_app_sanity(self): testperiod = baker.make('core.Period') baker.make('core.Assignment', parentnode=testperiod) baker.make('core.Assignment', parentnode=testperiod, anonymizationmode=Assignment.ANONYMIZATIONMODE_SEMI_ANONYMOUS) periodpermissiongroup = baker.make('devilry_account.PeriodPermissionGroup', period=testperiod) testuser = baker.make(settings.AUTH_USER_MODEL) baker.make('devilry_account.PermissionGroupUser', user=testuser, permissiongroup=periodpermissiongroup.permissiongroup) request = RequestFactory().get('/test') request.user = testuser request.cradmin_role = testperiod mock_cradmin_app = mock.MagicMock() mock_cradmin_app.appname = 'qualifiesforexam' request.cradmin_app = mock_cradmin_app instance = crinstance_period.CrAdminInstance(request=request) with self.assertRaises(Http404): instance.get_role_from_rolequeryset(role=testperiod) def test_get_role_from_rolequeryset_raises_404_for_overview_all_results_app_sanity(self): testperiod = baker.make('core.Period') baker.make('core.Assignment', parentnode=testperiod) baker.make('core.Assignment', parentnode=testperiod, anonymizationmode=Assignment.ANONYMIZATIONMODE_SEMI_ANONYMOUS) periodpermissiongroup = baker.make('devilry_account.PeriodPermissionGroup', period=testperiod) testuser = baker.make(settings.AUTH_USER_MODEL) baker.make('devilry_account.PermissionGroupUser', user=testuser, permissiongroup=periodpermissiongroup.permissiongroup) request = RequestFactory().get('/test') request.user = testuser request.cradmin_role = testperiod mock_cradmin_app = mock.MagicMock() mock_cradmin_app.appname = 'overview_all_results' request.cradmin_app = mock_cradmin_app instance = crinstance_period.CrAdminInstance(request=request) with self.assertRaises(Http404): instance.get_role_from_rolequeryset(role=testperiod) def test_get_role_from_rolequeryset_does_not_raise_404_for_other_apps(self): testperiod = baker.make('core.Period') baker.make('core.Assignment', parentnode=testperiod) baker.make('core.Assignment', parentnode=testperiod, anonymizationmode=Assignment.ANONYMIZATIONMODE_SEMI_ANONYMOUS) periodpermissiongroup = baker.make('devilry_account.PeriodPermissionGroup', period=testperiod) testuser = baker.make(settings.AUTH_USER_MODEL) baker.make('devilry_account.PermissionGroupUser', user=testuser, permissiongroup=periodpermissiongroup.permissiongroup) request = RequestFactory().get('/test') request.user = testuser request.cradmin_role = testperiod mock_cradmin_app = mock.MagicMock() mock_cradmin_app.appname = 'someapp' request.cradmin_app = mock_cradmin_app instance = crinstance_period.CrAdminInstance(request=request) self.assertEqual(testperiod, instance.get_role_from_rolequeryset(role=testperiod)) def test_get_role_from_rolequeryset_does_not_raise_404_for_subject_admin(self): testsubject = baker.make('core.Subject') testperiod = baker.make('core.Period', parentnode=testsubject) baker.make('core.Assignment', parentnode=testperiod) baker.make('core.Assignment', parentnode=testperiod, anonymizationmode=Assignment.ANONYMIZATIONMODE_SEMI_ANONYMOUS) subjectpermissiongroup = baker.make('devilry_account.SubjectPermissionGroup', subject=testsubject, permissiongroup__grouptype=PermissionGroup.GROUPTYPE_SUBJECTADMIN) testuser = baker.make(settings.AUTH_USER_MODEL) baker.make('devilry_account.PermissionGroupUser', user=testuser, permissiongroup=subjectpermissiongroup.permissiongroup) request = RequestFactory().get('/test') request.user = testuser request.cradmin_role = testperiod mock_cradmin_app = mock.MagicMock() mock_cradmin_app.appname = 'qualifiesforexam' request.cradmin_app = mock_cradmin_app instance = crinstance_period.CrAdminInstance(request=request) self.assertEqual(testperiod, instance.get_role_from_rolequeryset(role=testperiod))

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0.941382

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0.92181

0.911055

0.902916

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0.001761

0.219151

15,268

272

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0.863949

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0.072581

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0

1

0

1

0

null

0

7

e98b0a76d71839a802058bf27d371b7c0dcbc4c7

6,177

py

Python

unittests.py

actini/pyexecutor

c494821db0fea84a7c4a1a331c38b786fe193768

[ "MIT" ]

null

unittests.py

actini/pyexecutor

c494821db0fea84a7c4a1a331c38b786fe193768

[ "MIT" ]

null

unittests.py

actini/pyexecutor

c494821db0fea84a7c4a1a331c38b786fe193768

[ "MIT" ]

null

import sys import unittest from unittest.mock import MagicMock from unittest.mock import patch sys.path.append('./pyexecutor') from pyexecutor import Executor, Commander, ExecutorException, CommanderException class TestCommander(unittest.TestCase): @patch('subprocess.run') @patch('subprocess.CompletedProcess') def test_run_success(self, mock_subprocess_completedprocess, mock_subprocess_run): mock_subprocess_completedprocess.stdout = b'success' mock_subprocess_completedprocess.stderr = b'' mock_subprocess_completedprocess.returncode = 0 mock_subprocess_run.return_value = mock_subprocess_completedprocess commander = Commander() commander.run(executor='something') mock_subprocess_run.assert_called_once() assert(commander.output() == 'success') assert(commander.error() == '') assert(commander.ok()) assert(not commander.fail()) @patch('subprocess.run') @patch('subprocess.CompletedProcess') def test_run_failure(self, mock_subprocess_completedprocess, mock_subprocess_run): mock_subprocess_completedprocess.stdout = b'' mock_subprocess_completedprocess.stderr = b'error' mock_subprocess_completedprocess.returncode = 1 mock_subprocess_run.return_value = mock_subprocess_completedprocess with self.assertRaises(CommanderException): commander = Commander() commander.run(executor='something') mock_subprocess_run.assert_called_once() assert(commander.output() == '') assert(commander.error() == 'error') assert(not commander.ok()) assert(commander.fail()) @patch('subprocess.run') @patch('subprocess.CompletedProcess') def test_json_output(self, mock_subprocess_completedprocess, mock_subprocess_run): mock_subprocess_completedprocess.stdout = b'{"test": true}' mock_subprocess_completedprocess.stderr = b'' mock_subprocess_completedprocess.returncode = 0 mock_subprocess_run.return_value = mock_subprocess_completedprocess commander = Commander() commander.run(executor='something') assert(commander.json().get('test') is True) class TestExecutor(unittest.TestCase): @patch('pyexecutor.Executor._set_executor') @patch('subprocess.run') @patch('subprocess.CompletedProcess') def test_init(self, mock_subprocess_completedprocess, mock_subprocess_run, mock_executor_setter): mock_subprocess_completedprocess.stdout = b'/usr/bin/python' mock_subprocess_completedprocess.stderr = b'' mock_subprocess_completedprocess.returncode = 0 mock_subprocess_run.return_value = mock_subprocess_completedprocess python = Executor('python') mock_executor_setter.assert_called_once() @patch('subprocess.run') @patch('subprocess.CompletedProcess') def test_run_success(self, mock_subprocess_completedprocess, mock_subprocess_run): mock_subprocess_completedprocess.stdout = b'/usr/bin/python' mock_subprocess_completedprocess.stderr = b'' mock_subprocess_completedprocess.returncode = 0 mock_subprocess_run.return_value = mock_subprocess_completedprocess python = Executor('python') mock_subprocess_completedprocess.stdout = b'3.6' mock_subprocess_completedprocess.stderr = b'' mock_subprocess_completedprocess.returncode = 0 mock_subprocess_run.return_value = mock_subprocess_completedprocess result = python.run('--version') assert(result == '3.6') @patch('subprocess.run') @patch('subprocess.CompletedProcess') def test_run_failure(self, mock_subprocess_completedprocess, mock_subprocess_run): mock_subprocess_completedprocess.stdout = b'/usr/bin/python' mock_subprocess_completedprocess.stderr = b'' mock_subprocess_completedprocess.returncode = 0 mock_subprocess_run.return_value = mock_subprocess_completedprocess python = Executor('python') with self.assertRaises(ExecutorException): mock_subprocess_completedprocess.stdout = b'' mock_subprocess_completedprocess.stderr = b'error' mock_subprocess_completedprocess.returncode = 1 mock_subprocess_run.return_value = mock_subprocess_completedprocess python.run("--version") @patch('subprocess.run') @patch('subprocess.CompletedProcess') def test_json_output(self, mock_subprocess_completedprocess, mock_subprocess_run): mock_subprocess_completedprocess.stdout = b'/usr/bin/python' mock_subprocess_completedprocess.stderr = b'' mock_subprocess_completedprocess.returncode = 0 mock_subprocess_run.return_value = mock_subprocess_completedprocess python = Executor('python') mock_subprocess_completedprocess.stdout = b'{"version": 3.6}' mock_subprocess_completedprocess.stderr = b'' mock_subprocess_completedprocess.returncode = 0 mock_subprocess_run.return_value = mock_subprocess_completedprocess result = python.run('--version', True) assert(result.get('version') == 3.6) @patch('subprocess.run') @patch('subprocess.CompletedProcess') def test_set_trailer(self, mock_subprocess_completedprocess, mock_subprocess_run): mock_subprocess_completedprocess.stdout = b'/usr/bin/python' mock_subprocess_completedprocess.stderr = b'' mock_subprocess_completedprocess.returncode = 0 mock_subprocess_run.return_value = mock_subprocess_completedprocess python = Executor('python') python.set_trailer('--debug') mock_subprocess_completedprocess.stdout = b'{"version": 3.6}' mock_subprocess_completedprocess.stderr = b'' mock_subprocess_completedprocess.returncode = 0 mock_subprocess_run.return_value = mock_subprocess_completedprocess result = python.run('--version') mock_subprocess_run.assert_called_with(['/usr/bin/python', '--version', '--debug'], capture_output=True) if __name__ == '__main__': unittest.main()

40.638158

112

0.724624

623

6,177

6.849117

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0.259199

0.393719

0.101242

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0.803843

0.802437

0

0.004366

0.184232

6,177

152

113

40.638158

0.842429

0

0.706897

0

0.109906

0.040304

0

0.146552

1

0.068966

false

0

0.043103

0

0.12931

0

null

1

0

1

0

1

0

null

0

9

75c44ef08af5f738b7a28c0654895ec126d8ce84

11,563

py

Python

scripts/container_actions.py

AuthEceSoftEng/ma-made-core

466c09fca4d8a77bff93926a0b44285f76565221

[ "MIT" ]

null

scripts/container_actions.py

AuthEceSoftEng/ma-made-core

466c09fca4d8a77bff93926a0b44285f76565221

[ "MIT" ]

null

scripts/container_actions.py

AuthEceSoftEng/ma-made-core

466c09fca4d8a77bff93926a0b44285f76565221

[ "MIT" ]

null

import os import subprocess import config import json import time def start_container(args): ''' This function is used in order to start a specific container. @param container_id: The id of the container. @return Success/Failure. @return log_msg: A list containing the log messages that occurred during the process. ''' t1 = time.time() log_msg = [] flag_failure = False try: args = json.dumps(args) args = json.loads(args) container_id = args['container_id'] except: flag_failure = True log_msg.append('Wrong arguments provided!') log_msg.append(args) t2 = time.time() timeElapsed = t2 - t1 return json.dumps({"exitStatus":"Failure", "message": log_msg, "timeElapsed": timeElapsed}) command = 'echo "' + config.sudoer_password + '" | sudo --prompt="" -S docker start ' + container_id proc = subprocess.Popen([command], stdout=subprocess.PIPE, stderr=subprocess.STDOUT, shell = True) (out, err) = proc.communicate() out.decode("utf-8").split('\r\n') if(proc.returncode == 0): log_msg.append('Container started successfully') else: flag_failure = True log_msg.append('Container failed to start') log_msg.append(str(out)) t2 = time.time() timeElapsed = t2 - t1 if(flag_failure): return json.dumps({"exitStatus":"Failure", "message": log_msg, "timeElapsed": timeElapsed}) else: return json.dumps({"exitStatus":"Success", "message": log_msg, "timeElapsed": timeElapsed}) def stop_container(args): ''' This function is used in order to stop a specific container. @param container_id: The id of the container. @return Success/Failure. @return log_msg: A list containing the log messages that occurred during the process. ''' t1 = time.time() log_msg = [] flag_failure = False try: args = json.dumps(args) args = json.loads(args) container_id = args['container_id'] except: flag_failure = True log_msg.append('Wrong arguments provided!') log_msg.append(args) t2 = time.time() timeElapsed = t2 - t1 return json.dumps({"exitStatus":"Failure", "message": log_msg, "timeElapsed": timeElapsed}) command = 'echo "' + config.sudoer_password + '" | sudo --prompt="" -S docker stop ' + container_id proc = subprocess.Popen([command], stdout=subprocess.PIPE, stderr=subprocess.STDOUT, shell = True) (out, err) = proc.communicate() out.decode("utf-8").split('\r\n') if(proc.returncode == 0): log_msg.append('Container stopped successfully') else: flag_failure = True log_msg.append('Container failed to stop') log_msg.append(str(out)) t2 = time.time() timeElapsed = t2 - t1 if(flag_failure): return json.dumps({"exitStatus":"Failure", "message": log_msg, "timeElapsed": timeElapsed}) else: return json.dumps({"exitStatus":"Success", "message": log_msg, "timeElapsed": timeElapsed}) def deploy_container(args): ''' This function is used in order to deploy a container based on a given predefined image. @param image_name: The name of the predefined image. @param container_name: The name of the container. @param port_exposed: The port number to be exposed by the container. @return Success/Failure. @return log_msg: A list containing the log messages that occurred during the process. ''' t1 = time.time() log_msg = [] flag_failure = False try: args = json.dumps(args) args = json.loads(args) image_name = args['image_name'] container_name = args['container_name'] port_exposed = args['port_exposed'] except: flag_failure = True log_msg.append('Wrong arguments provided!') log_msg.append(args) t2 = time.time() timeElapsed = t2 - t1 return json.dumps({"exitStatus":"Failure", "message": log_msg, "timeElapsed": timeElapsed}) command = 'echo "' + config.sudoer_password + '" | sudo --prompt="" -S docker run -d -t --name ' + container_name + ' --publish ' + port_exposed + ':' + port_exposed + ' ' + image_name proc = subprocess.Popen([command], stdout=subprocess.PIPE, stderr=subprocess.STDOUT, shell = True) (out, err) = proc.communicate() out.decode("utf-8").split('\r\n') if(proc.returncode == 0): log_msg.append('Container deployment successful') else: flag_failure = True log_msg.append('Container deployment failed') log_msg.append(str(out)) t2 = time.time() timeElapsed = t2 - t1 if(flag_failure): return json.dumps({"exitStatus":"Failure", "message": log_msg, "timeElapsed": timeElapsed}) else: return json.dumps({"exitStatus":"Success", "message": log_msg, "timeElapsed": timeElapsed, "container_id": out.replace('\n','')}) def delete_container(args): ''' This function is used in order to delete a specific container. @param container_id: The id of the container. @return Success/Failure. @return log_msg: A list containing the log messages that occurred during the process. ''' t1 = time.time() log_msg = [] flag_failure = False try: args = json.dumps(args) args = json.loads(args) container_id = args['container_id'] except: flag_failure = True log_msg.append('Wrong arguments provided!') log_msg.append(args) t2 = time.time() timeElapsed = t2 - t1 return json.dumps({"exitStatus":"Failure", "message": log_msg, "timeElapsed": timeElapsed}) command = 'echo "' + config.sudoer_password + '" | sudo --prompt="" -S docker rm ' + container_id proc = subprocess.Popen([command], stdout=subprocess.PIPE, stderr=subprocess.STDOUT, shell = True) (out, err) = proc.communicate() out.decode("utf-8").split('\r\n') if(proc.returncode == 0): log_msg.append('Container removed successfully.') else: flag_failure = True log_msg.append('Container removal failure. Maybe the container is still active') log_msg.append(str(out)) t2 = time.time() timeElapsed = t2 - t1 if(flag_failure): return json.dumps({"exitStatus":"Failure", "message": log_msg, "timeElapsed": timeElapsed}) else: return json.dumps({"exitStatus":"Success", "message": log_msg, "timeElapsed": timeElapsed}) def get_container_details(args): ''' This function is used in order to get all the details a specific container. @param container_id: The id of the container. @return Success/Failure. @return When Success it returns a dictionary containing the information of the container, Null in case of Failure ''' t1 = time.time() try: args = json.dumps(args) args = json.loads(args) container_id = args['container_id'] except: t2 = time.time() timeElapsed = t2 - t1 return json.dumps({"exitStatus":"Failure", "message": "NULL", "timeElapsed": timeElapsed}) command = 'echo "' + config.sudoer_password + '" | sudo --prompt="" -S docker inspect ' + container_id proc = subprocess.Popen([command], stdout=subprocess.PIPE, stderr=subprocess.STDOUT, shell = True) (out, err) = proc.communicate() out.decode("utf-8").split('\r\n') t2 = time.time() timeElapsed = t2 - t1 if(proc.returncode == 0): try: container_info = json.loads(out)[0] return json.dumps({"exitStatus":"Success", "message": container_info, "timeElapsed": timeElapsed}) except: return json.dumps({"exitStatus":"Failure", "message": "NULL", "timeElapsed": timeElapsed}) else: return json.dumps({"exitStatus":"Failure", "message": "NULL", "timeElapsed": timeElapsed}) def check_if_active(args): ''' This function is used in order to check whether a specific container is active or not. @param container_id: The id of the container. @return True/False/Failure. @return log_msg: A list containing the log messages that occurred during the process. ''' t1 = time.time() try: arguments = json.dumps(args) arguments = json.loads(arguments) container_id = args['container_id'] except: t2 = time.time() timeElapsed = t2 - t1 return json.dumps({"exitStatus":"Failure", "message": "NULL", "timeElapsed": timeElapsed}) info = json.loads(get_container_details(args)) if (info['exitStatus'] == "Success"): return json.dumps({"exitStatus":"Success", "message": info['message']['State']['Running'], "timeElapsed": info['timeElapsed']}) else: return json.dumps({"exitStatus":"Failure", "message": "NULL", "timeElapsed": info['timeElapsed']}) def perform_action_inside_container(args): ''' This function is used in order to perform an action inside a specific container. @param container_id: The id of the container. @param function_details: A dictionary containing all the details of the function to be called. e.x.:{ "function_name": "the name of the function", "params": { "var_1": "value_1", ..., "var_N": "value_N", } } @return Success/Failure. @return When Success it returns a dictionary containing the information of the container, Null in case of Failure ''' t1 = time.time() log_msg = [] flag_failure = False try: arguments = json.dumps(args) arguments = json.loads(arguments) container_id = args['container_id'] function_details = arguments['function_details'] except: flag_failure = True log_msg.append('Wrong arguments provided!') log_msg.append(args) t2 = time.time() timeElapsed = t2 - t1 return json.dumps({"exitStatus":"Failure", "message": log_msg, "timeElapsed": timeElapsed}) function_call = '"' + 'import malib.ma as malib; malib.' + function_details["function_name"] + '(' args = function_details["params"].keys() if (len(args) > 0): for i in range(0, len(args) - 1): function_call = function_call + "'" + function_details["params"][args[i]] + "', " function_call = function_call + "'" + function_details["params"][args[(len(args) - 1)]] + "')" + '"' else: function_call = function_call + ")" + '"' command = 'echo "' + config.sudoer_password + '" | sudo --prompt="" -S docker exec ' + container_id + ' python3 -c ' + function_call proc = subprocess.Popen([command], stdout=subprocess.PIPE, stderr=subprocess.STDOUT, shell = True) (out, err) = proc.communicate() out.decode("utf-8").split('\r\n') t2 = time.time() timeElapsed = t2 - t1 info = json.loads(out) if(proc.returncode == 0): return json.dumps({"exitStatus":info['exitStatus'], "message": info['message'], "timeElapsed": timeElapsed}) else: return json.dumps({"exitStatus":"Failure", "message": "NULL", "timeElapsed": timeElapsed})

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1,342

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5.170641

0.112519

0.038911

0.038046

0.079262

0.818274

0.804583

0.793342

0.793054

0.764231

0.705721

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false

0.029268

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0

null

0

1

0

1

0

null

0

7

f968a0599676c1e43f7f4895713dd1eda2e4ea4e

49,907

py

Python

app/hackney_law_data_client/apis/uploaded_picture_api.py

tombull/hackneylawclassifier

54cea27f77ec37317ca60a678805a528a1fc5a88

[ "MIT" ]

null

app/hackney_law_data_client/apis/uploaded_picture_api.py

tombull/hackneylawclassifier

54cea27f77ec37317ca60a678805a528a1fc5a88

[ "MIT" ]

null

app/hackney_law_data_client/apis/uploaded_picture_api.py

tombull/hackneylawclassifier

54cea27f77ec37317ca60a678805a528a1fc5a88

[ "MIT" ]

null

# coding: utf-8 """ UploadedPictureApi.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 # python 2 and python 3 compatibility library from six import iteritems from ..configuration import Configuration from ..api_client import ApiClient class UploadedPictureApi(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 create_uploaded_picture(self, data, picture, **kwargs): """ Create some uploadedPictures Create one or more uploadedPictures. 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.create_uploaded_picture(data, picture, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param file data: Resource payoad. (required) :param file picture: Picture as a file attachment. (required) :param str select: Select which paths will be returned by the query. [doc](https://github.com/wprl/baucis/wiki/Query-String-Parameters#select) :param str populate: Specify which paths to populate. [doc](https://github.com/wprl/baucis/wiki/Query-String-Parameters#populate) :param str sort: Set the fields by which to sort. [doc](https://github.com/wprl/baucis/wiki/Query-String-Parameters#sort) :return: UploadedPicture If the method is called asynchronously, returns the request thread. """ all_params = ['data', 'picture', 'select', 'populate', 'sort'] 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 create_uploaded_picture" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'data' is set if ('data' not in params) or (params['data'] is None): raise ValueError("Missing the required parameter `data` when calling `create_uploaded_picture`") # verify the required parameter 'picture' is set if ('picture' not in params) or (params['picture'] is None): raise ValueError("Missing the required parameter `picture` when calling `create_uploaded_picture`") resource_path = '/uploadedPictures'.replace('{format}', 'json') path_params = {} query_params = {} if 'select' in params: query_params['select'] = params['select'] if 'populate' in params: query_params['populate'] = params['populate'] if 'sort' in params: query_params['sort'] = params['sort'] header_params = {} form_params = [] local_var_files = {} if 'data' in params: local_var_files['data'] = params['data'] if 'picture' in params: local_var_files['picture'] = params['picture'] body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json', 'text/html']) if not header_params['Accept']: del header_params['Accept'] # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type(['multipart/form-data']) # Authentication setting auth_settings = ['apikey', 'basic'] 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='UploadedPicture', auth_settings=auth_settings, callback=params.get('callback')) return response def delete_by_ids(self, document, **kwargs): """ Delete all the objects matching the ids provided. Delete a set of object in one shot. 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_by_ids(document, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param list[str] document: Array of Ids to delete. (required) :return: None If the method is called asynchronously, returns the request thread. """ all_params = ['document'] 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_by_ids" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'document' is set if ('document' not in params) or (params['document'] is None): raise ValueError("Missing the required parameter `document` when calling `delete_by_ids`") resource_path = '/uploadedPictures/deleteByIds'.replace('{format}', 'json') path_params = {} query_params = {} header_params = {} form_params = [] local_var_files = {} body_params = None if 'document' in params: body_params = params['document'] # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json', 'text/html']) 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 = ['apikey', 'basic'] 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=None, auth_settings=auth_settings, callback=params.get('callback')) return response def delete_uploaded_picture_by_id(self, id, **kwargs): """ Delete a uploadedPicture by its unique ID Deletes an existing uploadedPicture by its ID. 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_uploaded_picture_by_id(id, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str id: The identifier of the resource. (required) :param str select: Select which paths will be returned by the query. [doc](https://github.com/wprl/baucis/wiki/Query-String-Parameters#select) :param str populate: Specify which paths to populate. [doc](https://github.com/wprl/baucis/wiki/Query-String-Parameters#populate) :return: UploadedPicture If the method is called asynchronously, returns the request thread. """ all_params = ['id', 'select', 'populate'] 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_uploaded_picture_by_id" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'id' is set if ('id' not in params) or (params['id'] is None): raise ValueError("Missing the required parameter `id` when calling `delete_uploaded_picture_by_id`") resource_path = '/uploadedPictures/{id}'.replace('{format}', 'json') path_params = {} if 'id' in params: path_params['id'] = params['id'] query_params = {} if 'select' in params: query_params['select'] = params['select'] if 'populate' in params: query_params['populate'] = params['populate'] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json', 'text/html']) 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 = ['apikey', 'basic'] 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='UploadedPicture', auth_settings=auth_settings, callback=params.get('callback')) return response def delete_uploaded_picture_by_query(self, **kwargs): """ Delete some uploadedPictures by query Delete all uploadedPictures matching the specified query. 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_uploaded_picture_by_query(callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str select: Select which paths will be returned by the query. [doc](https://github.com/wprl/baucis/wiki/Query-String-Parameters#select) :param str populate: Specify which paths to populate. [doc](https://github.com/wprl/baucis/wiki/Query-String-Parameters#populate) :param str sort: Set the fields by which to sort. [doc](https://github.com/wprl/baucis/wiki/Query-String-Parameters#sort) :param int skip: How many documents to skip. [doc](https://github.com/wprl/baucis/wiki/Query-String-Parameters#skip) :param int limit: The maximum number of documents to send. [doc](https://github.com/wprl/baucis/wiki/Query-String-Parameters#limit) :param str conditions: Set the conditions used to find or remove the document(s). [doc](https://github.com/wprl/baucis/wiki/Query-String-Parameters#conditions) :param str distinct: Set to a path name to retrieve an array of distinct values. [doc](https://github.com/wprl/baucis/wiki/Query-String-Parameters#distinct) :param str hint: Add an index hint to the query (must be enabled per controller). [doc](https://github.com/wprl/baucis/wiki/Query-String-Parameters#hint) :param str comment: Add a comment to a query (must be enabled per controller). [doc](https://github.com/wprl/baucis/wiki/Query-String-Parameters#comment) :return: list[UploadedPicture] If the method is called asynchronously, returns the request thread. """ all_params = ['select', 'populate', 'sort', 'skip', 'limit', 'conditions', 'distinct', 'hint', 'comment'] 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_uploaded_picture_by_query" % key ) params[key] = val del params['kwargs'] resource_path = '/uploadedPictures'.replace('{format}', 'json') path_params = {} query_params = {} if 'select' in params: query_params['select'] = params['select'] if 'populate' in params: query_params['populate'] = params['populate'] if 'sort' in params: query_params['sort'] = params['sort'] if 'skip' in params: query_params['skip'] = params['skip'] if 'limit' in params: query_params['limit'] = params['limit'] if 'conditions' in params: query_params['conditions'] = params['conditions'] if 'distinct' in params: query_params['distinct'] = params['distinct'] if 'hint' in params: query_params['hint'] = params['hint'] if 'comment' in params: query_params['comment'] = params['comment'] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json', 'text/html']) 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 = ['apikey', 'basic'] 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='list[UploadedPicture]', auth_settings=auth_settings, callback=params.get('callback')) return response def get_uploaded_picture_by_id(self, id, **kwargs): """ Get a uploadedPicture by its unique ID Retrieve a uploadedPicture by its ID. 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_uploaded_picture_by_id(id, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str id: The identifier of the resource. (required) :param str select: Select which paths will be returned by the query. [doc](https://github.com/wprl/baucis/wiki/Query-String-Parameters#select) :param str populate: Specify which paths to populate. [doc](https://github.com/wprl/baucis/wiki/Query-String-Parameters#populate) :return: UploadedPicture If the method is called asynchronously, returns the request thread. """ all_params = ['id', 'select', 'populate'] 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_uploaded_picture_by_id" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'id' is set if ('id' not in params) or (params['id'] is None): raise ValueError("Missing the required parameter `id` when calling `get_uploaded_picture_by_id`") resource_path = '/uploadedPictures/{id}'.replace('{format}', 'json') path_params = {} if 'id' in params: path_params['id'] = params['id'] query_params = {} if 'select' in params: query_params['select'] = params['select'] if 'populate' in params: query_params['populate'] = params['populate'] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json', 'text/html']) 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 = ['apikey', 'basic'] 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='UploadedPicture', auth_settings=auth_settings, callback=params.get('callback')) return response def get_uploaded_picture_case_record(self, id, **kwargs): """ Retrieves the linked caseRecord. Retrieves the linked caseRecord. 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_uploaded_picture_case_record(id, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str id: The ID of a UploadedPicture. (required) :return: CaseRecord If the method is called asynchronously, returns the request thread. """ all_params = ['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_uploaded_picture_case_record" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'id' is set if ('id' not in params) or (params['id'] is None): raise ValueError("Missing the required parameter `id` when calling `get_uploaded_picture_case_record`") resource_path = '/uploadedPictures/{id}/caseRecord'.replace('{format}', 'json') path_params = {} if 'id' in params: path_params['id'] = params['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', 'text/html']) 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 = ['apikey', 'basic'] 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='CaseRecord', auth_settings=auth_settings, callback=params.get('callback')) return response def get_uploaded_picture_related_document(self, id, **kwargs): """ Retrieves the linked relatedDocument. Retrieves the linked relatedDocument. 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_uploaded_picture_related_document(id, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str id: The ID of a UploadedPicture. (required) :return: RequiredDocument If the method is called asynchronously, returns the request thread. """ all_params = ['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_uploaded_picture_related_document" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'id' is set if ('id' not in params) or (params['id'] is None): raise ValueError("Missing the required parameter `id` when calling `get_uploaded_picture_related_document`") resource_path = '/uploadedPictures/{id}/relatedDocument'.replace('{format}', 'json') path_params = {} if 'id' in params: path_params['id'] = params['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', 'text/html']) 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 = ['apikey', 'basic'] 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='RequiredDocument', auth_settings=auth_settings, callback=params.get('callback')) return response def query_uploaded_picture(self, **kwargs): """ Query some uploadedPictures Query over uploadedPictures. 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.query_uploaded_picture(callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str select: Select which paths will be returned by the query. [doc](https://github.com/wprl/baucis/wiki/Query-String-Parameters#select) :param str populate: Specify which paths to populate. [doc](https://github.com/wprl/baucis/wiki/Query-String-Parameters#populate) :param str sort: Set the fields by which to sort. [doc](https://github.com/wprl/baucis/wiki/Query-String-Parameters#sort) :param bool count: Set to true to return count instead of documents. [doc](https://github.com/wprl/baucis/wiki/Query-String-Parameters#count) :param int skip: How many documents to skip. [doc](https://github.com/wprl/baucis/wiki/Query-String-Parameters#skip) :param int limit: The maximum number of documents to send. [doc](https://github.com/wprl/baucis/wiki/Query-String-Parameters#limit) :param str conditions: Set the conditions used to find or remove the document(s). [doc](https://github.com/wprl/baucis/wiki/Query-String-Parameters#conditions) :param str distinct: Set to a path name to retrieve an array of distinct values. [doc](https://github.com/wprl/baucis/wiki/Query-String-Parameters#distinct) :param str hint: Add an index hint to the query (must be enabled per controller). [doc](https://github.com/wprl/baucis/wiki/Query-String-Parameters#hint) :param str comment: Add a comment to a query (must be enabled per controller). [doc](https://github.com/wprl/baucis/wiki/Query-String-Parameters#comment) :return: list[UploadedPicture] If the method is called asynchronously, returns the request thread. """ all_params = ['select', 'populate', 'sort', 'count', 'skip', 'limit', 'conditions', 'distinct', 'hint', 'comment'] 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 query_uploaded_picture" % key ) params[key] = val del params['kwargs'] resource_path = '/uploadedPictures'.replace('{format}', 'json') path_params = {} query_params = {} if 'select' in params: query_params['select'] = params['select'] if 'populate' in params: query_params['populate'] = params['populate'] if 'sort' in params: query_params['sort'] = params['sort'] if 'count' in params: query_params['count'] = params['count'] if 'skip' in params: query_params['skip'] = params['skip'] if 'limit' in params: query_params['limit'] = params['limit'] if 'conditions' in params: query_params['conditions'] = params['conditions'] if 'distinct' in params: query_params['distinct'] = params['distinct'] if 'hint' in params: query_params['hint'] = params['hint'] if 'comment' in params: query_params['comment'] = params['comment'] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json', 'text/html']) 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 = ['apikey', 'basic'] 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='list[UploadedPicture]', auth_settings=auth_settings, callback=params.get('callback')) return response def set_uploaded_picture_case_record(self, id, document, **kwargs): """ Link CaseRecord. Link CaseRecord. 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.set_uploaded_picture_case_record(id, document, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str id: The ID of a UploadedPicture. (required) :param BodyIdParameter document: The ID of a caseRecord. (required) :return: UploadedPicture If the method is called asynchronously, returns the request thread. """ all_params = ['id', 'document'] 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 set_uploaded_picture_case_record" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'id' is set if ('id' not in params) or (params['id'] is None): raise ValueError("Missing the required parameter `id` when calling `set_uploaded_picture_case_record`") # verify the required parameter 'document' is set if ('document' not in params) or (params['document'] is None): raise ValueError("Missing the required parameter `document` when calling `set_uploaded_picture_case_record`") resource_path = '/uploadedPictures/{id}/caseRecord'.replace('{format}', 'json') path_params = {} if 'id' in params: path_params['id'] = params['id'] query_params = {} header_params = {} form_params = [] local_var_files = {} body_params = None if 'document' in params: body_params = params['document'] # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json', 'text/html']) 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 = ['apikey', 'basic'] 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='UploadedPicture', auth_settings=auth_settings, callback=params.get('callback')) return response def set_uploaded_picture_related_document(self, id, document, **kwargs): """ Link RequiredDocument. Link RequiredDocument. 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.set_uploaded_picture_related_document(id, document, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str id: The ID of a UploadedPicture. (required) :param BodyIdParameter document: The ID of a requiredDocument. (required) :return: UploadedPicture If the method is called asynchronously, returns the request thread. """ all_params = ['id', 'document'] 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 set_uploaded_picture_related_document" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'id' is set if ('id' not in params) or (params['id'] is None): raise ValueError("Missing the required parameter `id` when calling `set_uploaded_picture_related_document`") # verify the required parameter 'document' is set if ('document' not in params) or (params['document'] is None): raise ValueError("Missing the required parameter `document` when calling `set_uploaded_picture_related_document`") resource_path = '/uploadedPictures/{id}/relatedDocument'.replace('{format}', 'json') path_params = {} if 'id' in params: path_params['id'] = params['id'] query_params = {} header_params = {} form_params = [] local_var_files = {} body_params = None if 'document' in params: body_params = params['document'] # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json', 'text/html']) 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 = ['apikey', 'basic'] 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='UploadedPicture', auth_settings=auth_settings, callback=params.get('callback')) return response def unlink_case_record_from_uploaded_picture(self, id, case_record_id, **kwargs): """ Unlink the specified CaseRecord. Unlink the specified CaseRecord. 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.unlink_case_record_from_uploaded_picture(id, case_record_id, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str id: The ID of a UploadedPicture. (required) :param str case_record_id: The ID of a CaseRecord. (required) :return: UploadedPicture If the method is called asynchronously, returns the request thread. """ all_params = ['id', 'case_record_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 unlink_case_record_from_uploaded_picture" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'id' is set if ('id' not in params) or (params['id'] is None): raise ValueError("Missing the required parameter `id` when calling `unlink_case_record_from_uploaded_picture`") # verify the required parameter 'case_record_id' is set if ('case_record_id' not in params) or (params['case_record_id'] is None): raise ValueError("Missing the required parameter `case_record_id` when calling `unlink_case_record_from_uploaded_picture`") resource_path = '/uploadedPictures/{id}/caseRecord/{caseRecordId}'.replace('{format}', 'json') path_params = {} if 'id' in params: path_params['id'] = params['id'] if 'case_record_id' in params: path_params['caseRecordId'] = params['case_record_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', 'text/html']) 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 = ['apikey', 'basic'] 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='UploadedPicture', auth_settings=auth_settings, callback=params.get('callback')) return response def unlink_related_document_from_uploaded_picture(self, id, required_document_id, **kwargs): """ Unlink the specified RequiredDocument. Unlink the specified RequiredDocument. 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.unlink_related_document_from_uploaded_picture(id, required_document_id, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str id: The ID of a UploadedPicture. (required) :param str required_document_id: The ID of a RequiredDocument. (required) :return: UploadedPicture If the method is called asynchronously, returns the request thread. """ all_params = ['id', 'required_document_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 unlink_related_document_from_uploaded_picture" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'id' is set if ('id' not in params) or (params['id'] is None): raise ValueError("Missing the required parameter `id` when calling `unlink_related_document_from_uploaded_picture`") # verify the required parameter 'required_document_id' is set if ('required_document_id' not in params) or (params['required_document_id'] is None): raise ValueError("Missing the required parameter `required_document_id` when calling `unlink_related_document_from_uploaded_picture`") resource_path = '/uploadedPictures/{id}/relatedDocument/{requiredDocumentId}'.replace('{format}', 'json') path_params = {} if 'id' in params: path_params['id'] = params['id'] if 'required_document_id' in params: path_params['requiredDocumentId'] = params['required_document_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', 'text/html']) 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 = ['apikey', 'basic'] 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='UploadedPicture', auth_settings=auth_settings, callback=params.get('callback')) return response def update_uploaded_picture(self, id, data, picture, **kwargs): """ Modify a uploadedPicture by its unique ID Update an existing uploadedPicture by its ID. 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.update_uploaded_picture(id, data, picture, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str id: The identifier of the resource. (required) :param file data: Resource payoad. (required) :param file picture: Picture as a file attachment. (required) :param str select: Select which paths will be returned by the query. [doc](https://github.com/wprl/baucis/wiki/Query-String-Parameters#select) :param str populate: Specify which paths to populate. [doc](https://github.com/wprl/baucis/wiki/Query-String-Parameters#populate) :param str x_baucis_update_operator: **BYPASSES VALIDATION** May be used with PUT to update the document using $push, $pull, or $set. [doc](https://github.com/wprl/baucis/wiki/HTTP-Headers) :return: UploadedPicture If the method is called asynchronously, returns the request thread. """ all_params = ['id', 'data', 'picture', 'select', 'populate', 'x_baucis_update_operator'] 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 update_uploaded_picture" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'id' is set if ('id' not in params) or (params['id'] is None): raise ValueError("Missing the required parameter `id` when calling `update_uploaded_picture`") # verify the required parameter 'data' is set if ('data' not in params) or (params['data'] is None): raise ValueError("Missing the required parameter `data` when calling `update_uploaded_picture`") # verify the required parameter 'picture' is set if ('picture' not in params) or (params['picture'] is None): raise ValueError("Missing the required parameter `picture` when calling `update_uploaded_picture`") resource_path = '/uploadedPictures/{id}'.replace('{format}', 'json') path_params = {} if 'id' in params: path_params['id'] = params['id'] query_params = {} if 'select' in params: query_params['select'] = params['select'] if 'populate' in params: query_params['populate'] = params['populate'] header_params = {} if 'x_baucis_update_operator' in params: header_params['X-Baucis-Update-Operator'] = params['x_baucis_update_operator'] form_params = [] local_var_files = {} if 'data' in params: local_var_files['data'] = params['data'] if 'picture' in params: local_var_files['picture'] = params['picture'] body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json', 'text/html']) if not header_params['Accept']: del header_params['Accept'] # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type(['multipart/form-data']) # Authentication setting auth_settings = ['apikey', 'basic'] 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='UploadedPicture', auth_settings=auth_settings, callback=params.get('callback')) return response

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py

Python

nbviewer/providers/url/__init__.py

AI-Collaboratory/nbviewer

1a40e04cc8aad67aa96bb840603f8f568c08d44d

[ "BSD-3-Clause-Clear" ]

1,840

2015-01-01T13:25:44.000Z

2022-03-17T08:33:01.000Z

nbviewer/providers/url/__init__.py

AI-Collaboratory/nbviewer

1a40e04cc8aad67aa96bb840603f8f568c08d44d

[ "BSD-3-Clause-Clear" ]

605

2015-01-01T16:45:01.000Z

2022-03-14T15:25:25.000Z

nbviewer/providers/url/__init__.py

AI-Collaboratory/nbviewer

1a40e04cc8aad67aa96bb840603f8f568c08d44d

[ "BSD-3-Clause-Clear" ]

513

2015-01-07T20:54:49.000Z

2022-02-17T16:04:30.000Z

from .handlers import default_handlers from .handlers import uri_rewrites

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py

Python

tests/sdk/ast/test_logical.py

bwuzhang/smartnoise-sdk

57d8cff54aaacdbbb20f3bdae2ed7780741ae4e8

[ "MIT" ]

1

2021-08-25T09:11:12.000Z

tests/sdk/ast/test_logical.py

bwuzhang/smartnoise-sdk

57d8cff54aaacdbbb20f3bdae2ed7780741ae4e8

[ "MIT" ]

null

tests/sdk/ast/test_logical.py

bwuzhang/smartnoise-sdk

57d8cff54aaacdbbb20f3bdae2ed7780741ae4e8

[ "MIT" ]

1

2021-06-22T15:13:47.000Z

import pytest from opendp.smartnoise._ast.expressions.logical import * from opendp.smartnoise._ast.tokens import Column, Literal from datetime import date import numpy as np """ Test evaluation of logical operators. We need to support operands of various types, including: * Parsed atomic types * Atomic types loaded from the database * String literal representations of types * Column names bound to a column value in the row Test harness creates arrays with several representations of values for numeric, date, and string """ vals_5 = [5, 5.0, "5", "5.0", np.float(5.0), np.int(5)] names_5 = ["i5", "f5", "si5", "sf5", "npf5", "npi5"] vals_7 = [7, 7.0, "7", "7.0"] names_7 = ["i7", "f7", "si7", "sf7"] d1_str = "1978-06-30" d2_str = "1984-10-14" vals_d1 = [d1_str, date.fromisoformat(d1_str)] names_d1 = ["sd1", "dd1"] vals_d2 = [d2_str, date.fromisoformat(d2_str)] names_d2 = ["sd2", "dd2"] vals_str = ["Smart", "Noise"] names_str = ["smart", "noise"] vals_f = ["false", False] names_f = ["s_f", "b_f"] vals_t = ["true", True] names_t = ["s_t", "b_t"] # now load all the values into a bindings dict vals = vals_5 + vals_7 + vals_d1 + vals_d2 + vals_str + vals_t + vals_f names = names_5 + names_7 + names_d1 + names_d2 + names_str + names_t + names_f bindings = dict((name.lower(), val ) for name, val in zip(names, vals)) class TestLogical: def test_eq(Self): # test numeric values for v5, n5 in zip(vals_5, names_5): # All True for v5b, n5b in zip(vals_5, names_5): if not (isinstance(v5, str) and isinstance(v5b, str)): assert(BooleanCompare(Literal(v5), '=', Literal(v5b)).evaluate(None)) assert(BooleanCompare(Column(n5), '=', Literal(v5b)).evaluate(bindings)) assert(BooleanCompare(Literal(v5), '=', Column(n5b)).evaluate(bindings)) # All False for v7, n7 in zip(vals_7, names_7): if not (isinstance(v5, str) and isinstance(v7, str)): assert(not BooleanCompare(Literal(v5), '=', Literal(v7)).evaluate(None)) assert(not BooleanCompare(Column(n5), '=', Literal(v7)).evaluate(bindings)) assert(not BooleanCompare(Literal(v5), '=', Column(n7)).evaluate(bindings)) # test dates for d1, n1 in zip(vals_d1, names_d1): for d1b, n1b in zip(vals_d1, names_d1): # all True comp = BooleanCompare(Literal(d1b), '=', Literal(d1)) assert(comp.evaluate(None)) comp = BooleanCompare(Column(n1b), '=', Literal(d1)) assert(comp.evaluate(bindings)) comp = BooleanCompare(Literal(d1b), '=', Column(n1)) assert(comp.evaluate(bindings)) for d2, n2 in zip(vals_d2, names_d2): # all False comp = BooleanCompare(Literal(d1), '=', Literal(d2)) assert(not comp.evaluate(None)) comp = BooleanCompare(Column(n1), '=', Literal(d2)) assert(not comp.evaluate(bindings)) comp = BooleanCompare(Literal(d1), '=', Column(n2)) assert(not comp.evaluate(bindings)) # test strings # All True assert(BooleanCompare(Literal(vals_str[0]), '=', Literal(vals_str[0])).evaluate(None)) assert(BooleanCompare(Column(names_str[0]), '=', Literal(vals_str[0])).evaluate(bindings)) assert(BooleanCompare(Literal(vals_str[0]), '=', Column(names_str[0])).evaluate(bindings)) # All False assert(not BooleanCompare(Literal(vals_str[1]), '=', Literal(vals_str[0])).evaluate(None)) assert(not BooleanCompare(Column(names_str[1]), '=', Literal(vals_str[0])).evaluate(bindings)) assert(not BooleanCompare(Literal(vals_str[1]), '=', Column(names_str[0])).evaluate(bindings)) def test_neq(Self): # test numeric values for v5, n5 in zip(vals_5, names_5): # All False for v5b, n5b in zip(vals_5, names_5): if not (isinstance(v5, str) and isinstance(v5b, str)): assert(not BooleanCompare(Literal(v5), '!=', Literal(v5b)).evaluate(None)) assert(not BooleanCompare(Column(n5), '!=', Literal(v5b)).evaluate(bindings)) assert(not BooleanCompare(Literal(v5), '!=', Column(n5b)).evaluate(bindings)) # All True for v7, n7 in zip(vals_7, names_7): if not (isinstance(v5, str) and isinstance(v7, str)): assert(BooleanCompare(Literal(v5), '<>', Literal(v7)).evaluate(None)) assert(BooleanCompare(Column(n5), '!=', Literal(v7)).evaluate(bindings)) assert(BooleanCompare(Literal(v5), '<>', Column(n7)).evaluate(bindings)) # test dates for d1, n1 in zip(vals_d1, names_d1): for d1b, n1b in zip(vals_d1, names_d1): # all False comp = BooleanCompare(Literal(d1b), '!=', Literal(d1)) assert(not comp.evaluate(None)) comp = BooleanCompare(Column(n1b), '<>', Literal(d1)) assert(not comp.evaluate(bindings)) comp = BooleanCompare(Literal(d1b), '!=', Column(n1)) assert(not comp.evaluate(bindings)) for d2, n2 in zip(vals_d2, names_d2): # all True comp = BooleanCompare(Literal(d1), '!=', Literal(d2)) assert(comp.evaluate(None)) comp = BooleanCompare(Column(n1), '<>', Literal(d2)) assert(comp.evaluate(bindings)) comp = BooleanCompare(Literal(d1), '!=', Column(n2)) assert(comp.evaluate(bindings)) # test strings # All False assert(not BooleanCompare(Literal(vals_str[0]), '!=', Literal(vals_str[0])).evaluate(None)) assert(not BooleanCompare(Column(names_str[0]), '<>', Literal(vals_str[0])).evaluate(bindings)) assert(not BooleanCompare(Literal(vals_str[0]), '!=', Column(names_str[0])).evaluate(bindings)) # All True assert(BooleanCompare(Literal(vals_str[1]), '!=', Literal(vals_str[0])).evaluate(None)) assert(BooleanCompare(Column(names_str[1]), '<>', Literal(vals_str[0])).evaluate(bindings)) assert(BooleanCompare(Literal(vals_str[1]), '!=', Column(names_str[0])).evaluate(bindings)) def test_gt(self): # test numeric values for v5, n5 in zip(vals_5, names_5): for v7, n7 in zip(vals_7, names_7): # all True comp = BooleanCompare(Literal(v7), '>', Literal(v5)) assert(comp.evaluate(None)) comp = BooleanCompare(Column(n7), '>', Literal(v5)) assert(comp.evaluate(bindings)) comp = BooleanCompare(Literal(v7), '>', Column(n5)) assert(comp.evaluate(bindings)) # all False comp = BooleanCompare(Literal(v5), '>', Literal(v7)) assert(not comp.evaluate(None)) comp = BooleanCompare(Column(n5), '>', Literal(v7)) assert(not comp.evaluate(bindings)) comp = BooleanCompare(Literal(v5), '>', Column(n7)) assert(not comp.evaluate(bindings)) # test dates for d1, n1 in zip(vals_d1, names_d1): for d2, n2 in zip(vals_d2, names_d2): # all True comp = BooleanCompare(Literal(d2), '>', Literal(d1)) assert(comp.evaluate(None)) comp = BooleanCompare(Column(n2), '>', Literal(d1)) assert(comp.evaluate(bindings)) comp = BooleanCompare(Literal(d2), '>', Column(n1)) assert(comp.evaluate(bindings)) # all False comp = BooleanCompare(Literal(d1), '>', Literal(d2)) assert(not comp.evaluate(None)) comp = BooleanCompare(Column(n1), '>', Literal(d2)) assert(not comp.evaluate(bindings)) comp = BooleanCompare(Literal(d1), '>', Column(n2)) assert(not comp.evaluate(bindings)) # test strings # All True assert(BooleanCompare(Literal(vals_str[0]), '>', Literal(vals_str[1])).evaluate(None)) assert(BooleanCompare(Column(names_str[0]), '>', Literal(vals_str[1])).evaluate(bindings)) assert(BooleanCompare(Literal(vals_str[0]), '>', Column(names_str[1])).evaluate(bindings)) # All False assert(not BooleanCompare(Literal(vals_str[1]), '>', Literal(vals_str[0])).evaluate(None)) assert(not BooleanCompare(Column(names_str[1]), '>', Literal(vals_str[0])).evaluate(bindings)) assert(not BooleanCompare(Literal(vals_str[1]), '>', Column(names_str[0])).evaluate(bindings)) def test_lt(self): # test numeric values for v5, n5 in zip(vals_5, names_5): for v7, n7 in zip(vals_7, names_7): # all False comp = BooleanCompare(Literal(v7), '<', Literal(v5)) assert(not comp.evaluate(None)) comp = BooleanCompare(Column(n7), '<', Literal(v5)) assert(not comp.evaluate(bindings)) comp = BooleanCompare(Literal(v7), '<', Column(n5)) assert(not comp.evaluate(bindings)) # all True comp = BooleanCompare(Literal(v5), '<', Literal(v7)) assert(comp.evaluate(None)) comp = BooleanCompare(Column(n5), '<', Literal(v7)) assert(comp.evaluate(bindings)) comp = BooleanCompare(Literal(v5), '<', Column(n7)) assert(comp.evaluate(bindings)) # test dates for d1, n1 in zip(vals_d1, names_d1): for d2, n2 in zip(vals_d2, names_d2): # all False comp = BooleanCompare(Literal(d2), '<', Literal(d1)) assert(not comp.evaluate(None)) comp = BooleanCompare(Column(n2), '<', Literal(d1)) assert(not comp.evaluate(bindings)) comp = BooleanCompare(Literal(d2), '<', Column(n1)) assert(not comp.evaluate(bindings)) # all True comp = BooleanCompare(Literal(d1), '<', Literal(d2)) assert(comp.evaluate(None)) comp = BooleanCompare(Column(n1), '<', Literal(d2)) assert(comp.evaluate(bindings)) comp = BooleanCompare(Literal(d1), '<', Column(n2)) assert(comp.evaluate(bindings)) # test strings # All False assert(not BooleanCompare(Literal(vals_str[0]), '<', Literal(vals_str[1])).evaluate(None)) assert(not BooleanCompare(Column(names_str[0]), '<', Literal(vals_str[1])).evaluate(bindings)) assert(not BooleanCompare(Literal(vals_str[0]), '<', Column(names_str[1])).evaluate(bindings)) # All True assert(BooleanCompare(Literal(vals_str[1]), '<', Literal(vals_str[0])).evaluate(None)) assert(BooleanCompare(Column(names_str[1]), '<', Literal(vals_str[0])).evaluate(bindings)) assert(BooleanCompare(Literal(vals_str[1]), '<', Column(names_str[0])).evaluate(bindings)) def test_gte(self): # test numeric values for v5, n5 in zip(vals_5, names_5): for v7, n7 in zip(vals_7, names_7): # all True comp = BooleanCompare(Literal(v7), '>=', Literal(v5)) assert(comp.evaluate(None)) comp = BooleanCompare(Column(n7), '>=', Literal(v5)) assert(comp.evaluate(bindings)) comp = BooleanCompare(Literal(v7), '>=', Column(n5)) assert(comp.evaluate(bindings)) # all False comp = BooleanCompare(Literal(v5), '>=', Literal(v7)) assert(not comp.evaluate(None)) comp = BooleanCompare(Column(n5), '>=', Literal(v7)) assert(not comp.evaluate(bindings)) comp = BooleanCompare(Literal(v5), '>=', Column(n7)) assert(not comp.evaluate(bindings)) # test dates for d1, n1 in zip(vals_d1, names_d1): for d2, n2 in zip(vals_d2, names_d2): # all True comp = BooleanCompare(Literal(d2), '>=', Literal(d1)) assert(comp.evaluate(None)) comp = BooleanCompare(Column(n2), '>=', Literal(d1)) assert(comp.evaluate(bindings)) comp = BooleanCompare(Literal(d2), '>=', Column(n1)) assert(comp.evaluate(bindings)) # all False comp = BooleanCompare(Literal(d1), '>=', Literal(d2)) assert(not comp.evaluate(None)) comp = BooleanCompare(Column(n1), '>=', Literal(d2)) assert(not comp.evaluate(bindings)) comp = BooleanCompare(Literal(d1), '>=', Column(n2)) assert(not comp.evaluate(bindings)) # test strings # All True assert(BooleanCompare(Literal(vals_str[0]), '>=', Literal(vals_str[1])).evaluate(None)) assert(BooleanCompare(Column(names_str[0]), '>=', Literal(vals_str[1])).evaluate(bindings)) assert(BooleanCompare(Literal(vals_str[0]), '>=', Column(names_str[1])).evaluate(bindings)) # All False assert(not BooleanCompare(Literal(vals_str[1]), '>=', Literal(vals_str[0])).evaluate(None)) assert(not BooleanCompare(Column(names_str[1]), '>=', Literal(vals_str[0])).evaluate(bindings)) assert(not BooleanCompare(Literal(vals_str[1]), '>=', Column(names_str[0])).evaluate(bindings)) # Test equality # test numeric values for v5, n5 in zip(vals_5, names_5): # All True for v5b, n5b in zip(vals_5, names_5): if not (isinstance(v5, str) and isinstance(v5b, str)): assert(BooleanCompare(Literal(v5), '>=', Literal(v5b)).evaluate(None)) assert(BooleanCompare(Column(n5), '>=', Literal(v5b)).evaluate(bindings)) assert(BooleanCompare(Literal(v5), '>=', Column(n5b)).evaluate(bindings)) # test dates for d1, n1 in zip(vals_d1, names_d1): for d1b, n1b in zip(vals_d1, names_d1): # all True comp = BooleanCompare(Literal(d1b), '>=', Literal(d1)) assert(comp.evaluate(None)) comp = BooleanCompare(Column(n1b), '>=', Literal(d1)) assert(comp.evaluate(bindings)) comp = BooleanCompare(Literal(d1b), '>=', Column(n1)) assert(comp.evaluate(bindings)) # test strings # All True assert(BooleanCompare(Literal(vals_str[0]), '>=', Literal(vals_str[0])).evaluate(None)) assert(BooleanCompare(Column(names_str[0]), '>=', Literal(vals_str[0])).evaluate(bindings)) assert(BooleanCompare(Literal(vals_str[0]), '>=', Column(names_str[0])).evaluate(bindings)) def test_lte(self): # test numeric values for v5, n5 in zip(vals_5, names_5): for v7, n7 in zip(vals_7, names_7): # all False comp = BooleanCompare(Literal(v7), '<=', Literal(v5)) assert(not comp.evaluate(None)) comp = BooleanCompare(Column(n7), '<=', Literal(v5)) assert(not comp.evaluate(bindings)) comp = BooleanCompare(Literal(v7), '<=', Column(n5)) assert(not comp.evaluate(bindings)) # all True comp = BooleanCompare(Literal(v5), '<=', Literal(v7)) assert(comp.evaluate(None)) comp = BooleanCompare(Column(n5), '<=', Literal(v7)) assert(comp.evaluate(bindings)) comp = BooleanCompare(Literal(v5), '<=', Column(n7)) assert(comp.evaluate(bindings)) # test dates for d1, n1 in zip(vals_d1, names_d1): for d2, n2 in zip(vals_d2, names_d2): # all False comp = BooleanCompare(Literal(d2), '<=', Literal(d1)) assert(not comp.evaluate(None)) comp = BooleanCompare(Column(n2), '<=', Literal(d1)) assert(not comp.evaluate(bindings)) comp = BooleanCompare(Literal(d2), '<=', Column(n1)) assert(not comp.evaluate(bindings)) # all True comp = BooleanCompare(Literal(d1), '<=', Literal(d2)) assert(comp.evaluate(None)) comp = BooleanCompare(Column(n1), '<=', Literal(d2)) assert(comp.evaluate(bindings)) comp = BooleanCompare(Literal(d1), '<=', Column(n2)) assert(comp.evaluate(bindings)) # test strings # All False assert(not BooleanCompare(Literal(vals_str[0]), '<=', Literal(vals_str[1])).evaluate(None)) assert(not BooleanCompare(Column(names_str[0]), '<=', Literal(vals_str[1])).evaluate(bindings)) assert(not BooleanCompare(Literal(vals_str[0]), '<=', Column(names_str[1])).evaluate(bindings)) # All True assert(BooleanCompare(Literal(vals_str[1]), '<=', Literal(vals_str[0])).evaluate(None)) assert(BooleanCompare(Column(names_str[1]), '<=', Literal(vals_str[0])).evaluate(bindings)) assert(BooleanCompare(Literal(vals_str[1]), '<=', Column(names_str[0])).evaluate(bindings)) # Test equality # test numeric values for v5, n5 in zip(vals_5, names_5): # All True for v5b, n5b in zip(vals_5, names_5): if not (isinstance(v5, str) and isinstance(v5b, str)): assert(BooleanCompare(Literal(v5), '<=', Literal(v5b)).evaluate(None)) assert(BooleanCompare(Column(n5), '<=', Literal(v5b)).evaluate(bindings)) assert(BooleanCompare(Literal(v5), '<=', Column(n5b)).evaluate(bindings)) # test dates for d1, n1 in zip(vals_d1, names_d1): for d1b, n1b in zip(vals_d1, names_d1): # all True comp = BooleanCompare(Literal(d1b), '<=', Literal(d1)) assert(comp.evaluate(None)) comp = BooleanCompare(Column(n1b), '<=', Literal(d1)) assert(comp.evaluate(bindings)) comp = BooleanCompare(Literal(d1b), '<=', Column(n1)) assert(comp.evaluate(bindings)) # test strings # All True assert(BooleanCompare(Literal(vals_str[0]), '<=', Literal(vals_str[0])).evaluate(None)) assert(BooleanCompare(Column(names_str[0]), '<=', Literal(vals_str[0])).evaluate(bindings)) assert(BooleanCompare(Literal(vals_str[0]), '<=', Column(names_str[0])).evaluate(bindings)) def test_and(self): for tv, tn in zip(vals_t, names_t): for tvb, tnb in zip(vals_t, names_t): # All True if not (isinstance(tv, str) and isinstance(tvb, str)): assert BooleanCompare(Literal(tv), 'and', Literal(tvb)).evaluate(None) assert BooleanCompare(Column(tn), 'and', Literal(tvb)).evaluate(bindings) assert BooleanCompare(Literal(tv), 'and', Column(tnb)).evaluate(bindings) for fv, fn in zip(vals_f, names_f): # All False if not (isinstance(tv, str) and isinstance(fv, str)): assert not BooleanCompare(Literal(tv), 'and', Literal(fv)).evaluate(None) assert not BooleanCompare(Column(tn), 'and', Literal(fv)).evaluate(bindings) assert not BooleanCompare(Literal(tv), 'and', Column(fn)).evaluate(bindings)

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null

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dde5e02cb0ee2c2a73a4af29312435a1c9966934

313

py

Python

tests/commands/plugins/conftest.py

hassanfa/BALSAMIC

f21da145bd233a82f1100c97027e28cdf63498dd

[ "MIT" ]

39

2019-05-21T11:03:23.000Z

2022-03-22T11:40:17.000Z

tests/commands/plugins/conftest.py

hassanfa/BALSAMIC

f21da145bd233a82f1100c97027e28cdf63498dd

[ "MIT" ]

749

2019-05-16T19:18:03.000Z

2022-03-31T09:03:44.000Z

tests/commands/plugins/conftest.py

hassanfa/BALSAMIC

f21da145bd233a82f1100c97027e28cdf63498dd

[ "MIT" ]

19

2019-06-25T08:45:27.000Z

2022-03-08T17:35:51.000Z

import pytest @pytest.fixture def input_file(): return "tests/test_data/vcf_tables/test_input.txt" @pytest.fixture def output_file(): return "tests/test_data/vcf_tables/test_createVCF_output.vcf.gz" @pytest.fixture def reference_file(): return "tests/test_data/vcf_tables/test_reference.vcf.gz"

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fb1824efb31b37559812f2d15cc35affa458cfc2

6,708

py

Python

bindings/python/ensmallen_graph/datasets/string/thermobacilluscomposti.py

caufieldjh/ensmallen_graph

14e98b1cdbc73193a84a913d7d4f2b2b3eb2c43a

[ "MIT" ]

null

bindings/python/ensmallen_graph/datasets/string/thermobacilluscomposti.py

caufieldjh/ensmallen_graph

14e98b1cdbc73193a84a913d7d4f2b2b3eb2c43a

[ "MIT" ]

null

bindings/python/ensmallen_graph/datasets/string/thermobacilluscomposti.py

caufieldjh/ensmallen_graph

14e98b1cdbc73193a84a913d7d4f2b2b3eb2c43a

[ "MIT" ]

null

""" This file offers the methods to automatically retrieve the graph Thermobacillus composti. The graph is automatically retrieved from the STRING repository. Report --------------------- At the time of rendering these methods (please see datetime below), the graph had the following characteristics: Datetime: 2021-02-02 21:36:21.882905 The undirected graph Thermobacillus composti has 3834 nodes and 410610 weighted edges, of which none are self-loops. The graph is dense as it has a density of 0.05588 and has 6 connected components, where the component with most nodes has 3819 nodes and the component with the least nodes has 2 nodes. The graph median node degree is 194, the mean node degree is 214.19, and the node degree mode is 3. The top 5 most central nodes are 717605.Theco_1331 (degree 1344), 717605.Theco_3820 (degree 1155), 717605.Theco_3145 (degree 948), 717605.Theco_3655 (degree 945) and 717605.Theco_2403 (degree 923). References --------------------- Please cite the following if you use the data: @article{szklarczyk2019string, title={STRING v11: protein--protein association networks with increased coverage, supporting functional discovery in genome-wide experimental datasets}, author={Szklarczyk, Damian and Gable, Annika L and Lyon, David and Junge, Alexander and Wyder, Stefan and Huerta-Cepas, Jaime and Simonovic, Milan and Doncheva, Nadezhda T and Morris, John H and Bork, Peer and others}, journal={Nucleic acids research}, volume={47}, number={D1}, pages={D607--D613}, year={2019}, publisher={Oxford University Press} } Usage example ---------------------- The usage of this graph is relatively straightforward: .. code:: python # First import the function to retrieve the graph from the datasets from ensmallen_graph.datasets.string import ThermobacillusComposti # Then load the graph graph = ThermobacillusComposti() # Finally, you can do anything with it, for instance, compute its report: print(graph) # If you need to run a link prediction task with validation, # you can split the graph using a connected holdout as follows: train_graph, validation_graph = graph.connected_holdout( # You can use an 80/20 split the holdout, for example. train_size=0.8, # The random state is used to reproduce the holdout. random_state=42, # Wether to show a loading bar. verbose=True ) # Remember that, if you need, you can enable the memory-time trade-offs: train_graph.enable( vector_sources=True, vector_destinations=True, vector_outbounds=True ) # Consider using the methods made available in the Embiggen package # to run graph embedding or link prediction tasks. """ from typing import Dict from ..automatic_graph_retrieval import AutomaticallyRetrievedGraph from ...ensmallen_graph import EnsmallenGraph # pylint: disable=import-error def ThermobacillusComposti( directed: bool = False, verbose: int = 2, cache_path: str = "graphs/string", **additional_graph_kwargs: Dict ) -> EnsmallenGraph: """Return new instance of the Thermobacillus composti graph. The graph is automatically retrieved from the STRING repository. Parameters ------------------- directed: bool = False, Wether to load the graph as directed or undirected. By default false. verbose: int = 2, Wether to show loading bars during the retrieval and building of the graph. cache_path: str = "graphs", Where to store the downloaded graphs. additional_graph_kwargs: Dict, Additional graph kwargs. Returns ----------------------- Instace of Thermobacillus composti graph. Report --------------------- At the time of rendering these methods (please see datetime below), the graph had the following characteristics: Datetime: 2021-02-02 21:36:21.882905 The undirected graph Thermobacillus composti has 3834 nodes and 410610 weighted edges, of which none are self-loops. The graph is dense as it has a density of 0.05588 and has 6 connected components, where the component with most nodes has 3819 nodes and the component with the least nodes has 2 nodes. The graph median node degree is 194, the mean node degree is 214.19, and the node degree mode is 3. The top 5 most central nodes are 717605.Theco_1331 (degree 1344), 717605.Theco_3820 (degree 1155), 717605.Theco_3145 (degree 948), 717605.Theco_3655 (degree 945) and 717605.Theco_2403 (degree 923). References --------------------- Please cite the following if you use the data: @article{szklarczyk2019string, title={STRING v11: protein--protein association networks with increased coverage, supporting functional discovery in genome-wide experimental datasets}, author={Szklarczyk, Damian and Gable, Annika L and Lyon, David and Junge, Alexander and Wyder, Stefan and Huerta-Cepas, Jaime and Simonovic, Milan and Doncheva, Nadezhda T and Morris, John H and Bork, Peer and others}, journal={Nucleic acids research}, volume={47}, number={D1}, pages={D607--D613}, year={2019}, publisher={Oxford University Press} } Usage example ---------------------- The usage of this graph is relatively straightforward: .. code:: python # First import the function to retrieve the graph from the datasets from ensmallen_graph.datasets.string import ThermobacillusComposti # Then load the graph graph = ThermobacillusComposti() # Finally, you can do anything with it, for instance, compute its report: print(graph) # If you need to run a link prediction task with validation, # you can split the graph using a connected holdout as follows: train_graph, validation_graph = graph.connected_holdout( # You can use an 80/20 split the holdout, for example. train_size=0.8, # The random state is used to reproduce the holdout. random_state=42, # Wether to show a loading bar. verbose=True ) # Remember that, if you need, you can enable the memory-time trade-offs: train_graph.enable( vector_sources=True, vector_destinations=True, vector_outbounds=True ) # Consider using the methods made available in the Embiggen package # to run graph embedding or link prediction tasks. """ return AutomaticallyRetrievedGraph( graph_name="ThermobacillusComposti", dataset="string", directed=directed, verbose=verbose, cache_path=cache_path, additional_graph_kwargs=additional_graph_kwargs )()

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fb2fab2717de63ed7e7ab44f1b7915aec37fc760

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py

Python

ContactHands/contact_hands_two_stream/modeling/meta_arch/__init__.py

seoyoon130/Graduation_Project

9082cb93fb4f73c3a1577f63e906e6eb7f147dc4

[ "Apache-2.0" ]

26

2020-10-20T01:58:26.000Z

2022-02-24T11:48:10.000Z

ContactHands/contact_hands_two_stream/modeling/meta_arch/__init__.py

seoyoon130/Graduation_Project

9082cb93fb4f73c3a1577f63e906e6eb7f147dc4

[ "Apache-2.0" ]

5

2020-10-21T05:39:08.000Z

2021-09-17T13:57:29.000Z

contact_hands_two_stream/modeling/meta_arch/__init__.py

cvlab-stonybrook/ContactHands

6aba9a5f098b50529e589b7835264df9264844e9

[ "MIT" ]

1

2022-02-24T11:48:14.000Z

from .second_stream_rcnn import SecondStreamRCNN from .first_stream_rcnn import FirstStreamRCNN

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348e1aadec3c8c8758a42b67f24c77134e1307eb

715

py

Python

out/out_base.py

computergeek125/gps-splitter

58a798fb0427bd1eb0ac8a5c7b2225a891814b7f

[ "MIT" ]

null

out/out_base.py

computergeek125/gps-splitter

58a798fb0427bd1eb0ac8a5c7b2225a891814b7f

[ "MIT" ]

null

out/out_base.py

computergeek125/gps-splitter

58a798fb0427bd1eb0ac8a5c7b2225a891814b7f

[ "MIT" ]

null

class out_base: def __init__(self, name): self.name = name raise NotImplemented("Cannot run a prototype class") def start(self): raise NotImplemented("Cannot run a prototype class") def write(self, buf): raise NotImplemented("Cannot run a prototype class") def read(self): raise NotImplemented("Cannot run a prototype class") def read(self, size): raise NotImplemented("Cannot run a prototype class") def flush(self): raise NotImplemented("Cannot run a prototype class") def error(self): raise NotImplemented("Cannot run a prototype class") def close(self): raise NotImplemented("Cannot run a prototype class")

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1

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null

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8

5520e88dc3eb48daf3070cf5173474661197483f

382,635

pyt

Python

eran/NNet/nnet/ACASXU_run2a_5_5_batch_2000_16bit.pyt

pauls658/ReluDiff-ICSE2020-Artifact

212854fe04f482183c239e5dfec70106a9a83df8

[ "Apache-2.0" ]

7

2020-01-27T21:25:49.000Z

2022-01-07T04:37:37.000Z

eran/NNet/nnet/ACASXU_run2a_5_5_batch_2000_16bit.pyt

yqtianust/ReluDiff-ICSE2020-Artifact

149f6efe4799602db749faa576980c36921a07c7

[ "Apache-2.0" ]

1

2022-01-25T17:41:54.000Z

2022-01-26T02:27:51.000Z

eran/NNet/nnet/ACASXU_run2a_5_5_batch_2000_16bit.pyt

yqtianust/ReluDiff-ICSE2020-Artifact

149f6efe4799602db749faa576980c36921a07c7

[ "Apache-2.0" ]

3

2020-03-14T17:12:17.000Z

2022-03-16T09:50:46.000Z

ReLU [[-0.14955, -0.0248534, -0.00112066, -0.0175932, -0.0108465], [0.00770676, 1.14962, -1.17167, 0.246475, -0.799437], [-0.00945665, -0.668543, -0.528016, -0.385838, 0.0407823], [0.0460149, 1.40257, 0.551879, 0.897442, -0.872173], [0.0153226, -0.136905, 1.35126, 0.204432, -0.19352], [-0.0111053, -0.145931, -0.0421182, 0.238108, -1.25966], [-0.0356913, 1.59333, 0.121379, 0.814434, -0.697038], [-0.00165935, -0.093996, 0.117309, 0.621593, -0.675604], [0.120317, 1.24382, -1.3459, 0.287117, -0.167557], [-0.127555, 2.45324, -2.4295, -0.0650554, 0.0231439], [0.0418091, -1.38662, 1.376, 0.240205, -0.0841922], [-2.13205, 0.0889024, -0.0470261, 0.0112124, -0.040965], [-1.13498, 0.000809587, 0.0210726, -0.058804, -0.147206], [-0.282727, 1.07985, -0.347618, -0.0130376, -0.0467178], [0.0274914, -0.350939, 0.489574, 0.259903, 0.203746], [-0.0250154, -0.19551, -0.932552, 0.388905, -0.333211], [-0.435592, 0.403903, -0.248878, -0.379965, -0.372462], [-0.431819, -0.078891, 0.0548413, -0.744704, 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9b5981c2986608107bd7f2196328f64e72dfca05

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py

Python

fullspam.py

PikriArt31/FULL-SPAM3

35b36e912f07f6d3280557c5e4e6f1addb386332

[ "BSD-3-Clause" ]

null

fullspam.py

PikriArt31/FULL-SPAM3

35b36e912f07f6d3280557c5e4e6f1addb386332

[ "BSD-3-Clause" ]

null

fullspam.py

PikriArt31/FULL-SPAM3

35b36e912f07f6d3280557c5e4e6f1addb386332

[ "BSD-3-Clause" ]

null

#Compiled By ANKER #https://github.com/4NK3R import marshal exec(marshal.loads(b'\xe3\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x04\x00\x00\x00@\x00\x00\x00s\x1a\x00\x00\x00d\x00d\x01l\x00Z\x00e\x01e\x00\xa0\x02d\x02\xa1\x01\x83\x01\x01\x00d\x01S\x00)\x03\xe9\x00\x00\x00\x00Ns\x02\x1b\x00\x00\xe3\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x04\x00\x00\x00@\x00\x00\x00s\x1a\x00\x00\x00d\x00d\x01l\x00Z\x00e\x01e\x00\xa0\x02d\x02\xa1\x01\x83\x01\x01\x00d\x01S\x00)\x03\xe9\x00\x00\x00\x00Ns\x82\x1a\x00\x00\xe3\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x04\x00\x00\x00@\x00\x00\x00s\x1a\x00\x00\x00d\x00d\x01l\x00Z\x00e\x01e\x00\xa0\x02d\x02\xa1\x01\x83\x01\x01\x00d\x01S\x00)\x03\xe9\x00\x00\x00\x00Ns\x02\x1a\x00\x00\xe3\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x04\x00\x00\x00@\x00\x00\x00s\x1a\x00\x00\x00d\x00d\x01l\x00Z\x00e\x01e\x00\xa0\x02d\x02\xa1\x01\x83\x01\x01\x00d\x01S\x00)\x03\xe9\x00\x00\x00\x00Ns\x82\x19\x00\x00\xe3\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x04\x00\x00\x00@\x00\x00\x00s\x1a\x00\x00\x00d\x00d\x01l\x00Z\x00e\x01e\x00\xa0\x02d\x02\xa1\x01\x83\x01\x01\x00d\x01S\x00)\x03\xe9\x00\x00\x00\x00Ns\x02\x19\x00\x00\xe3\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x04\x00\x00\x00@\x00\x00\x00s\x1a\x00\x00\x00d\x00d\x01l\x00Z\x00e\x01e\x00\xa0\x02d\x02\xa1\x01\x83\x01\x01\x00d\x01S\x00)\x03\xe9\x00\x00\x00\x00Ns\x82\x18\x00\x00\xe3\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x04\x00\x00\x00@\x00\x00\x00s\x1a\x00\x00\x00d\x00d\x01l\x00Z\x00e\x01e\x00\xa0\x02d\x02\xa1\x01\x83\x01\x01\x00d\x01S\x00)\x03\xe9\x00\x00\x00\x00Ns\x02\x18\x00\x00\xe3\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x04\x00\x00\x00@\x00\x00\x00s\x1a\x00\x00\x00d\x00d\x01l\x00Z\x00e\x01e\x00\xa0\x02d\x02\xa1\x01\x83\x01\x01\x00d\x01S\x00)\x03\xe9\x00\x00\x00\x00Ns\x82\x17\x00\x00\xe3\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00/\x00\x00\x00@\x00\x00\x00sr\x01\x00\x00d\x00d\x01l\x00Z\x00d\x00d\x01l\x01Z\x01d\x00d\x01l\x02Z\x02d\x00d\x01l\x03Z\x03d\x00d\x01l\x04Z\x04d\x00d\x02l\x02m\x05Z\x05\x01\x00d\x03Z\x06d\x04Z\x07d\x05Z\x08d\x06Z\td\x07Z\nd\x08d\t\x84\x00Z\x0bd\ne\x06\x9b\x00d\x0be\x06\x9b\x00d\x0ce\x06\x9b\x00d\re\n\x9b\x00d\x0ee\n\x9b\x00d\x0fe\n\x9b\x00d\x10e\x08\x9b\x00d\x11e\x08\x9b\x00d\x12e\t\x9b\x00d\x13e\n\x9b\x00d\x14e\x07\x9b\x00d\x15e\x08\x9b\x00d\x16e\x08\x9b\x00d\x12e\t\x9b\x00d\x17e\n\x9b\x00d\x14e\x07\x9b\x00d\x18e\x08\x9b\x00d\x19e\x08\x9b\x00d\x12e\t\x9b\x00d\x1ae\n\x9b\x00d\x14e\x07\x9b\x00d\x1be\x08\x9b\x00d\x1ce\x08\x9b\x00d\x1d\x9d/Z\x0cd\ne\x06\x9b\x00d\x1ee\n\x9b\x00d\x1fe\x08\x9b\x00d\x11e\x08\x9b\x00d\x12e\t\x9b\x00d\x13e\n\x9b\x00d\x14e\x07\x9b\x00d\x15e\x08\x9b\x00d 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\'_ ` _ \\/ __| \nz5 ___) | |_) | (_| | | | | | | ___) | | | | | \\__ \\ \nz5|____/| .__/ \\__,_|_| |_| |_| |____/|_| |_| |_|___/ \nz\x14 |_|\t\t\t\t\t \nuy\x00\x00\x00\xe2\x95\x94\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x97\nu\x04\x00\x00\x00\xe2\x95\x91 z\x08Author z\x02: Z\x05ANKERu\x18\x00\x00\x00 \t \xe2\x95\x91\nz\x08github z\x18https://github.con/4NK3Ru\x07\x00\x00\x00 \xe2\x95\x91\nz\x08Youtube z\x10ANKER PRODUCTIONu\x0c\x00\x00\x00\t 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# Print a box like the one below. # ******************* # ******************* # ******************* # ******************* print('*******************') print('*******************') print('*******************') print('*******************') # note that you can make a better program using loops, but it is not illustrated yet

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1

2021-01-27T21:45:35.000Z

import bpy import os import math class EXPORTGLB_OT_Operator(bpy.types.Operator): bl_idname = "object.export_gltf" bl_label = "Export Operator" bl_description = "Export GLB" def execute(self, context): glb_dir = '.\GLB' blend_file_path = bpy.data.filepath directory = os.path.dirname(blend_file_path) bpy.ops.object.mode_set(mode = 'OBJECT') bpy.ops.object.select_all(action='DESELECT') if os.path.isdir(directory + glb_dir) == False: os.makedirs(directory + glb_dir) i = 0 for i in range(len(bpy.context.scene.objects)): obj_name = bpy.context.scene.objects[i].name target_file_glb = os.path.join(directory + glb_dir, obj_name) bpy.data.objects[obj_name].select_set(True) obj_loc = bpy.data.objects[obj_name].location.copy() # copy location bpy.data.objects[obj_name].location = (0,0,0) # move object to world origin bpy.ops.export_scene.gltf( export_format='GLB', ui_tab='GENERAL', export_copyright="Michael Bridges", export_image_format='PNG', export_texture_dir="", export_texcoords=True, export_normals=True, export_draco_mesh_compression_enable=False, export_draco_mesh_compression_level=6, export_draco_position_quantization=14, export_draco_normal_quantization=10, export_draco_texcoord_quantization=12, export_draco_generic_quantization=12, export_tangents=False, export_materials=True, export_colors=True, export_cameras=False, export_selected=True, export_extras=False, export_yup=True, export_apply=True, export_animations=True, export_frame_range=True, export_frame_step=1, export_force_sampling=True, export_nla_strips=True, export_def_bones=False, export_current_frame=False, export_skins=True, export_all_influences=False, export_morph=True, export_morph_normal=True, export_morph_tangent=False, export_lights=False, export_displacement=False, will_save_settings=True, filepath=target_file_glb, check_existing=True, filter_glob="*.glb;*.gltf") bpy.data.objects[obj_name].location = obj_loc # set object back to it's original location bpy.ops.object.select_all(action='DESELECT') i =+ 1 return {'FINISHED'} class EXPORTGLBALL_OT_Operator(bpy.types.Operator): bl_idname = "object.export_gltf_all" bl_label = "Export Operator" bl_description = "Export GLB" def execute(self, context): glb_dir = '.\GLB' blend_file_path = bpy.data.filepath directory = os.path.dirname(blend_file_path) obj_list = bpy.context.scene.objects obj_locs = {} # dictionary ready for objects locations obj_name = str(bpy.path.basename(bpy.context.blend_data.filepath)) target_file_glb = os.path.join(directory + glb_dir, obj_name) bpy.ops.object.mode_set(mode = 'OBJECT') bpy.ops.object.select_all(action='DESELECT') if os.path.isdir(directory + glb_dir) == False: os.makedirs(directory + glb_dir) i = 0 for i in range(len(obj_list)): name = bpy.data.objects[i].name bpy.data.objects[name].select_set(True) obj_locs[i] = (bpy.data.objects[i].location.copy()) # copy locations of objects bpy.data.objects[i].location = (0,0,0) # move object to world origin i += 1 bpy.ops.export_scene.gltf( export_format='GLB', ui_tab='GENERAL', export_copyright="Michael Bridges", export_image_format='AUTO', export_texture_dir="", export_texcoords=True, export_normals=True, export_draco_mesh_compression_enable=False, export_draco_mesh_compression_level=6, export_draco_position_quantization=14, export_draco_normal_quantization=10, export_draco_texcoord_quantization=12, export_draco_generic_quantization=12, export_tangents=False, export_materials=True, export_colors=True, export_cameras=False, export_selected=True, export_extras=False, export_yup=True, export_apply=True, export_animations=True, export_frame_range=True, export_frame_step=1, export_force_sampling=True, export_nla_strips=True, export_def_bones=False, export_current_frame=False, export_skins=True, export_all_influences=False, export_morph=True, export_morph_normal=True, export_morph_tangent=False, export_lights=False, export_displacement=False, will_save_settings=True, filepath=target_file_glb, check_existing=True, filter_glob="*.glb;*.gltf") i = 0 for i in range(len(obj_list)): bpy.data.objects[i].location = obj_locs[i] # set object back to it's original location i =+ 1 bpy.ops.object.select_all(action='DESELECT') return {'FINISHED'}

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32e6221109ba29e9ac3473ae355b1c30c3d1a673

417,883

py

Python

src/nifgen/metadata/functions.py

WhiteLupus/nimi-python

4e05b9a64f08ed2c929932d8d586c7114c46cf04

[ "MIT" ]

1

2019-09-18T14:28:47.000Z

src/nifgen/metadata/functions.py

WhiteLupus/nimi-python

4e05b9a64f08ed2c929932d8d586c7114c46cf04

[ "MIT" ]

null

src/nifgen/metadata/functions.py

WhiteLupus/nimi-python

4e05b9a64f08ed2c929932d8d586c7114c46cf04

[ "MIT" ]

null

# -*- coding: utf-8 -*- # This file is generated from NI-FGEN API metadata version 19.6.0d0 functions = { 'AbortGeneration': { 'documentation': { 'description': '\nAborts any previously initiated signal generation. Call the\nnifgen_InitiateGeneration function to cause the signal generator to\nproduce a signal again.\n' }, 'parameters': [ { 'direction': 'in', 'documentation': { 'description': '\nIdentifies your instrument session. **vi** is obtained from the\nniFgen_init, nifgen_InitWithOptions, or nifgen_InitializeWithChannels\nfunctions and identifies a particular instrument session.\n' }, 'name': 'vi', 'type': 'ViSession' } ], 'python_name': 'abort', 'returns': 'ViStatus' }, 'AdjustSampleClockRelativeDelay': { 'codegen_method': 'no', 'documentation': { 'description': '\nDelays (or phase shifts) the Sample Clock, which delays the generated\nsignal. Delaying the Sample Clock can be useful when synchronizing the\noutput of multiple modules or when intentionally phase shifting the\noutput relative to a fixed reference, such as the PLL Reference Clock.\n\nAdjustment time can be positive or negative, but it must be less than or\nequal to the Sample Clock period. The delay takes effect immediately\nafter this function is called. To delay an external Sample Clock, use\nthe NIFGEN_ATTR_SAMPLE_CLOCK_ABSOLUTE_DELAY attribute.\n' }, 'parameters': [ { 'direction': 'in', 'documentation': { 'description': '\nIdentifies your instrument session. **vi** is obtained from the\nniFgen_init, nifgen_InitWithOptions, or nifgen_InitializeWithChannels\nfunctions and identifies a particular instrument session.\n' }, 'name': 'vi', 'type': 'ViSession' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the amount of time to adjust the Sample Clock delay.\n\n**Units**: Seconds\n\n**Default Value**: 0\n' }, 'name': 'adjustmentTime', 'python_api_converter_name': 'convert_timedelta_to_seconds', 'type': 'ViReal64', 'type_in_documentation': 'float in seconds or datetime.timedelta' } ], 'returns': 'ViStatus' }, 'AllocateNamedWaveform': { 'documentation': { 'description': '\nSpecifies the size of a named waveform up front so that it can be\nallocated in onboard memory before loading the associated data. Data can\nthen be loaded in smaller blocks with the niFgen Write (Binary16)\nWaveform functions.\n' }, 'parameters': [ { 'direction': 'in', 'documentation': { 'description': '\nIdentifies your instrument session. **vi** is obtained from the\nniFgen_init, nifgen_InitWithOptions, or nifgen_InitializeWithChannels\nfunctions and identifies a particular instrument session.\n' }, 'name': 'vi', 'type': 'ViSession' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the channel name for which you want to allocate the named\nwaveform.\n\n**Default Value**: "0"\n' }, 'name': 'channelName', 'type': 'ViConstString' }, { 'direction': 'in', 'documentation': { 'description': 'Specifies the name to associate with the allocated waveform.' }, 'name': 'waveformName', 'type': 'ViConstString' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the size of the waveform to allocate in samples.\n\n**Default Value**: "4096"\n' }, 'name': 'waveformSize', 'type': 'ViInt32' } ], 'returns': 'ViStatus' }, 'AllocateWaveform': { 'documentation': { 'description': '\nSpecifies the size of a waveform so that it can be allocated in onboard\nmemory before loading the associated data. Data can then be loaded in\nsmaller blocks with the Write Binary 16 Waveform functions.\n', 'note': '\nThe signal generator must not be in the Generating state when you call\nthis function.\n' }, 'parameters': [ { 'direction': 'in', 'documentation': { 'description': '\nIdentifies your instrument session. **vi** is obtained from the\nniFgen_init, nifgen_InitWithOptions, or nifgen_InitializeWithChannels\nfunctions and identifies a particular instrument session.\n' }, 'name': 'vi', 'type': 'ViSession' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the channel name for which you want to allocate the waveform.\n\n**Default Value**: "0"\n' }, 'name': 'channelName', 'type': 'ViConstString' }, { 'direction': 'in', 'documentation': { 'description': 'Specifies, in samples, the size of the waveform to allocate.' }, 'name': 'waveformSize', 'type': 'ViInt32' }, { 'direction': 'out', 'documentation': { 'description': '\nThe handle that identifies the new waveform. This handle is used later\nwhen referring to this waveform.\n' }, 'name': 'waveformHandle', 'type': 'ViInt32' } ], 'returns': 'ViStatus' }, 'CalAdjustAdc': { 'codegen_method': 'no', 'documentation': { 'description': '\nCalculates calibration constants pertaining to the gain and offset of\nthe onboard calibration ADC. During external calibration, you can\ngenerate voltages and measure them both externally and with the\ncalibration ADC. Pass the measured voltages to this function to allow\nNI-FGEN to calculate the appropriate calibration constants and store\nthem in the onboard EEPROM when the calibration session is committed.\n' }, 'parameters': [ { 'direction': 'in', 'documentation': { 'description': '\nIdentifies your instrument session. **vi** is obtained from the\nniFgen_init, nifgen_InitWithOptions, or nifgen_InitializeWithChannels\nfunctions and identifies a particular instrument session.\n' }, 'name': 'vi', 'type': 'ViSession' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the name of the channel being calibrated.\n\n**Default Value**: "0"\n' }, 'name': 'channelName', 'type': 'ViConstString' }, { 'direction': 'in', 'documentation': { 'description': 'Specifies the main path configuration.' }, 'name': 'configuration', 'type': 'ViInt32' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies an array of analog output voltages measured with an external\ninstrument.\n' }, 'name': 'voltagesMeasuredExternally', 'type': 'ViReal64' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies an array of analog output voltages measured with the onboard\ncalibration ADC.\n' }, 'name': 'voltagesMeasuredWithCaladc', 'type': 'ViReal64' } ], 'returns': 'ViStatus' }, 'CalAdjustCalAdc': { 'codegen_method': 'no', 'documentation': { 'description': '\nCalculates calibration constants pertaining to the gain and offset of\nthe onboard calibration ADC. During external calibration, you can\ngenerate voltages and measure them both externally and with the\ncalibration ADC. Pass the measured voltages to this function to allow\nNI-FGEN to calculate the appropriate calibration constants and store\nthem in the onboard EEPROM when the calibration session is committed.\n' }, 'parameters': [ { 'direction': 'in', 'documentation': { 'description': '\nIdentifies your instrument session. **vi** is obtained from the\nnifgen_InitExtCal function and identifies a particular instrument\nsession.\n' }, 'name': 'vi', 'type': 'ViSession' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies an array of analog output voltages measured with an external\ninstrument.\n' }, 'name': 'voltagesMeasuredExternally', 'type': 'ViReal64' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies an array of analog output voltages measured with the onboard\ncalibration ADC.\n' }, 'name': 'voltagesMeasuredWithCaladc', 'type': 'ViReal64' } ], 'returns': 'ViStatus' }, 'CalAdjustDirectPathGain': { 'codegen_method': 'no', 'documentation': { 'description': '\nCalculates calibration constants pertaining to the gain of the direct\nanalog path. During external calibration, you can put the device in\ndifferent configurations; program different gain and main DAC values;\nand take measurements of the resulting output voltage. Pass the\nconfiguration data, as well as the measurements, to this function to\nallow NI-FGEN to calculate the appropriate calibration constants and\nstore them in the onboard EEPROM when the calibration session is\ncommitted.\n' }, 'parameters': [ { 'direction': 'in', 'documentation': { 'description': '\nIdentifies your instrument session. **vi** is obtained from the\nnifgen_InitExtCal function and identifies a particular instrument\nsession.\n' }, 'name': 'vi', 'type': 'ViSession' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the name of the channel being calibrated.\n\n**Default Value**: "0"\n' }, 'name': 'channelName', 'type': 'ViConstString' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies an array of the values programmed to the main output DAC\nduring this calibration stage.\n' }, 'name': 'mainDacValues', 'type': 'ViInt32' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies an array of the values programmed to the gain calibration DAC\nduring this calibration stage.\n' }, 'name': 'gainDacValues', 'type': 'ViInt32' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies an array of the analog output voltages measured during this\ncalibration stage.\n' }, 'name': 'measuredOutputs', 'type': 'ViReal64' } ], 'returns': 'ViStatus' }, 'CalAdjustDirectPathOutputImpedance': { 'codegen_method': 'no', 'documentation': { 'description': '\nCalculates calibration constants pertaining to direct analog path output\nimpedance. During external calibration, you can put the device in\ndifferent configurations and take measurements of the resulting output\nvoltage across different loads. Pass the configuration data, as well as\nthe measurements, to this function to allow NI-FGEN to calculate the\nappropriate calibration constants and store them in the onboard EEPROM\nwhen the calibration session is committed.\n' }, 'parameters': [ { 'direction': 'in', 'documentation': { 'description': '\nIdentifies your instrument session. **vi** is obtained from the\nnifgen_InitExtCal function and identifies a particular instrument\nsession.\n' }, 'name': 'vi', 'type': 'ViSession' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the name of the channel being calibrated.\n\n**Default Value**: "0"\n' }, 'name': 'channelName', 'type': 'ViConstString' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the direct path output impedance configuration. Refer to the\nnifgen_Related_Documentation for your device for information on what\nconfigurations must be calibrated.\n' }, 'name': 'configuration', 'type': 'ViInt32' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the impedance of the load across which the measurement passed\nin as **measuredVoltageAcrossLoad** is taken.\n' }, 'name': 'loadImpedance', 'type': 'ViReal64' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the analog output voltage measured across a very\nhigh-impedance load.\n' }, 'name': 'measuredSourceVoltage', 'type': 'ViReal64' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the analog output voltage measured across the load impedance\nspecified in the **loadImpedance** parameter.\n' }, 'name': 'measuredVoltageAcrossLoad', 'type': 'ViReal64' } ], 'returns': 'ViStatus' }, 'CalAdjustFlatness': { 'codegen_method': 'no', 'documentation': { 'description': '\nDuring external calibration, the device is configured with the different\nanalog settings. Measurements are taken of the resulting output voltage\nacross different frequencies. The configuration data, as well as the\nmeasurements, are passed to this function so that NI-FGEN can calculate\nthe appropriate calibration constants and, when the calibration session\nis committed, store them in the onboard EEPROM.\n' }, 'parameters': [ { 'direction': 'in', 'documentation': { 'description': '\nIdentifies your instrument session. **vi** is obtained from the\nnifgen_InitExtCal function and identifies a particular instrument\nsession.\n' }, 'name': 'vi', 'type': 'ViSession' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the name of the channel being calibrated.\n\n**Default Value**: "0"\n' }, 'name': 'channelName', 'type': 'ViConstString' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the analog path configuration of the device for this stage of\ncalibration. Refer to the nifgen_Related_Documentation for your device\nfor information on which configurations must be calibrated.\n' }, 'name': 'configuration', 'type': 'ViInt32' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the amplitude, in volts, that was used to configure NI-FGEN to\ngenerate the sine tones at different frequencies.\n' }, 'name': 'requestedAmplitude', 'type': 'ViReal64' }, { 'direction': 'in', 'documentation': { 'description': 'Specifies the frequencies of the output waveform in hertz.' }, 'name': 'frequencies', 'type': 'ViReal64' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the actual (measured) amplitudes of the output waveform in\nvolts.\n' }, 'name': 'measuredAmplitudes', 'type': 'ViReal64' }, { 'direction': 'in', 'documentation': { 'description': 'Specifies the number of measurements to take.' }, 'name': 'numberOfMeasurements', 'type': 'ViInt32' } ], 'returns': 'ViStatus' }, 'CalAdjustMainPathOutputImpedance': { 'codegen_method': 'no', 'documentation': { 'description': '\nCalculates calibration constants pertaining to main analog path output\nimpedance. During external calibration, you can put the device in\ndifferent configurations and take measurements of the resulting output\nvoltage across different loads. Pass the configuration data, as well as\nthe measurements, to this function to allow NI-FGEN to calculate the\nappropriate calibration constants and store them in the onboard EEPROM\nwhen the calibration session is committed.\n' }, 'parameters': [ { 'direction': 'in', 'documentation': { 'description': '\nIdentifies your instrument session. **vi** is obtained from the\nnifgen_InitExtCal function and identifies a particular instrument\nsession.\n' }, 'name': 'vi', 'type': 'ViSession' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the name of the channel being calibrated.\n\n**Default Value**: "0"\n' }, 'name': 'channelName', 'type': 'ViConstString' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the main path output impedance configuration. Refer to the\nnifgen_Related_Documentation for your device for information on what\nconfigurations must be calibrated.\n' }, 'name': 'configuration', 'type': 'ViInt32' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the impedance of the load across which the measurement passed\nin as **measuredVoltageAcrossLoad** is taken.\n' }, 'name': 'loadImpedance', 'type': 'ViReal64' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the analog output voltage measured across a very\nhigh-impedance load.\n' }, 'name': 'measuredSourceVoltage', 'type': 'ViReal64' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the analog output voltage measured across the load impedance\nspecified in the **loadImpedance** parameter.\n' }, 'name': 'measuredVoltageAcrossLoad', 'type': 'ViReal64' } ], 'returns': 'ViStatus' }, 'CalAdjustMainPathPostAmpGainAndOffset': { 'codegen_method': 'no', 'documentation': { 'description': '\nCalculates calibration constants pertaining to the postamplifier gain\nand offset of the main analog path. During external calibration, you can\nput the device in different configurations; program different gain,\noffset, and main DAC values; and take measurements of the resulting\noutput voltage. Pass the configuration data, as well as the measurements\nto this function to allow NI-FGEN to calculate the appropriate\ncalibration constants and store them in the onboard EEPROM when the\ncalibration session is committed.\n' }, 'parameters': [ { 'direction': 'in', 'documentation': { 'description': '\nIdentifies your instrument session. **vi** is obtained from the\nnifgen_InitExtCal function and identifies a particular instrument\nsession.\n' }, 'name': 'vi', 'type': 'ViSession' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the name of the channel being calibrated.\n\n**Default Value**: "0"\n' }, 'name': 'channelName', 'type': 'ViConstString' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the postamplifier stage configuration. Refer to the\nnifgen_Related_Documentation for your device for information on what\nconfigurations must be calibrated.\n' }, 'name': 'configuration', 'type': 'ViInt32' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies an array of the values programmed to the main output DAC\nduring this calibration stage.\n' }, 'name': 'mainDacValues', 'type': 'ViInt32' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies an array of the values programmed to the gain calibration DAC\nduring this calibration stage.\n' }, 'name': 'gainDacValues', 'type': 'ViInt32' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies an array of the values programmed to the offset calibration\nDAC during this calibration stage.\n' }, 'name': 'offsetDacValues', 'type': 'ViInt32' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies an array of the analog output voltages measured during this\ncalibration stage.\n' }, 'name': 'measuredOutputs', 'type': 'ViReal64' } ], 'returns': 'ViStatus' }, 'CalAdjustMainPathPreAmpGain': { 'codegen_method': 'no', 'documentation': { 'description': '\nCalculates calibration constants pertaining to the preamplifier gain of\nthe main analog path. During external calibration, you can put the\ndevice in different configurations; program different gain, offset, and\nmain DAC values; and take measurements of the resulting output voltage.\nPass the configuration data, as well as the measurements to this\nfunction to allow NI-FGEN to calculate the appropriate calibration\nconstants and store them in the onboard EEPROM when the calibration\nsession is committed.\n' }, 'parameters': [ { 'direction': 'in', 'documentation': { 'description': '\nIdentifies your instrument session. **vi** is obtained from the\nnifgen_InitExtCal function and identifies a particular instrument\nsession.\n' }, 'name': 'vi', 'type': 'ViSession' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the name of the channel being calibrated.\n\n**Default Value**: "0"\n' }, 'name': 'channelName', 'type': 'ViConstString' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the preamplifier stage configuration. Refer to the\nnifgen_Related_Documentation for your device for information on what\nconfigurations must be calibrated.\n' }, 'name': 'configuration', 'type': 'ViInt32' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies an array of the values programmed to the main output DAC\nduring this calibration stage.\n' }, 'name': 'mainDacValues', 'type': 'ViInt32' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies an array of the values programmed to the gain calibration DAC\nduring this calibration stage.\n' }, 'name': 'gainDacValues', 'type': 'ViInt32' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies an array of the values programmed to the offset calibration\nDAC during this calibration stage.\n' }, 'name': 'offsetDacValues', 'type': 'ViInt32' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies an array of the analog output voltages measured during this\ncalibration stage.\n' }, 'name': 'measuredOutputs', 'type': 'ViReal64' } ], 'returns': 'ViStatus' }, 'CalAdjustMainPathPreAmpOffset': { 'codegen_method': 'no', 'documentation': { 'description': '\nCalculates calibration constants pertaining to the preamplifier offset\nof the main analog path. During external calibration, you can put the\ndevice in different configurations; program different gain, offset, and\nmain DAC values; and take measurements of the resulting output voltage.\nPass the configuration data, as well as the measurements, to this\nfunction to allow NI-FGEN to calculate the appropriate calibration\nconstants and store them in the onboard EEPROM when the calibration\nsession is committed.\n' }, 'parameters': [ { 'direction': 'in', 'documentation': { 'description': '\nIdentifies your instrument session. **vi** is obtained from the\nnifgen_InitExtCal function and identifies a particular instrument\nsession.\n' }, 'name': 'vi', 'type': 'ViSession' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the name of the channel being calibrated.\n\n**Default Value**: "0"\n' }, 'name': 'channelName', 'type': 'ViConstString' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the preamplifier stage configuration. Refer to the\nnifgen_Related_Documentation for your device for information about\nwhat configurations must be calibrated.\n' }, 'name': 'configuration', 'type': 'ViInt32' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies an array of the values programmed to the gain calibration DAC\nduring this calibration stage.\n' }, 'name': 'gainDacValues', 'type': 'ViInt32' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies an array of the values programmed to the offset calibration\nDAC during this calibration stage.\n' }, 'name': 'offsetDacValues', 'type': 'ViInt32' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies an array of the analog output voltages measured during this\ncalibration stage.\n' }, 'name': 'measuredOutputs', 'type': 'ViReal64' } ], 'returns': 'ViStatus' }, 'CalAdjustOscillatorFrequency': { 'codegen_method': 'no', 'documentation': { 'description': '\nCalculates calibration constants pertaining to the VCXO. During external\ncalibration, you can generate sine waves and take measurements of the\nresulting output frequency. Pass the desired and measured frequencies to\nthis function to allow NI-FGEN to calculate the appropriate calibration\nconstants and store them in the onboard EEPROM when the calibration\nsession is committed.\n' }, 'parameters': [ { 'direction': 'in', 'documentation': { 'description': '\nIdentifies your instrument session. **vi** is obtained from the\nnifgen_InitExtCal function and identifies a particular instrument\nsession.\n' }, 'name': 'vi', 'type': 'ViSession' }, { 'direction': 'in', 'documentation': { 'description': 'Specifies the expected frequency of the output waveform.' }, 'name': 'desiredFrequency', 'type': 'ViReal64' }, { 'direction': 'in', 'documentation': { 'description': 'Specifies the actual measured frequency of the output waveform.' }, 'name': 'measuredFrequency', 'type': 'ViReal64' } ], 'returns': 'ViStatus' }, 'ChangeExtCalPassword': { 'codegen_method': 'no', 'documentation': { 'description': '\nChanges the password that is required to initialize an external\ncalibration session. The password may be up to four characters long.\n' }, 'parameters': [ { 'direction': 'in', 'documentation': { 'description': '\nIdentifies your instrument session. **vi** is obtained from the\nnifgen_init or the nifgen_InitExtCal function and identifies a\nparticular instrument session.\n' }, 'name': 'vi', 'type': 'ViSession' }, { 'direction': 'in', 'documentation': { 'description': 'Specifies the old (current) external calibration password.' }, 'name': 'oldPassword', 'type': 'ViConstString' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the new (desired) external calibration password. The password\nmay be up to four characters long.\n' }, 'name': 'newPassword', 'type': 'ViConstString' } ], 'returns': 'ViStatus' }, 'CheckAttributeViBoolean': { 'codegen_method': 'no', 'documentation': { 'description': 'Checks the validity of a value you specify for a ViBoolean attribute.' }, 'parameters': [ { 'direction': 'in', 'documentation': { 'description': '\nIdentifies your instrument session. **vi** is obtained from the\nniFgen_init, nifgen_InitWithOptions, or nifgen_InitializeWithChannels\nfunctions and identifies a particular instrument session.\n' }, 'name': 'vi', 'type': 'ViSession' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the name of the channel on which to check the attribute value\nif the attribute is channel-based. If the attribute is not\nchannel-based, then pass VI_NULL or an empty string ("").\n\n**Default Value**: "" (empty string)\n' }, 'name': 'channelName', 'type': 'ViConstString' }, { 'direction': 'in', 'documentation': { 'description': 'Specifies the ID of an attribute.' }, 'name': 'attributeId', 'type': 'ViAttr' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the value to which you want to set the attribute. **Default\nValue**: None\n', 'note': '\nSome of the values might not be valid depending on the current\nsettings of the instrument session.\n' }, 'name': 'attributeValue', 'type': 'ViBoolean' } ], 'returns': 'ViStatus' }, 'CheckAttributeViInt32': { 'codegen_method': 'no', 'documentation': { 'description': 'Checks the validity of a value you specify for a ViInt32 attribute.' }, 'parameters': [ { 'direction': 'in', 'documentation': { 'description': '\nIdentifies your instrument session. **vi** is obtained from the\nniFgen_init, nifgen_InitWithOptions, or nifgen_InitializeWithChannels\nfunctions and identifies a particular instrument session.\n' }, 'name': 'vi', 'type': 'ViSession' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the name of the channel on which to check the attribute value\nif the attribute is channel-based. If the attribute is not\nchannel-based, then pass VI_NULL or an empty string ("").\n\n**Default Value**: "" (empty string)\n' }, 'name': 'channelName', 'type': 'ViConstString' }, { 'direction': 'in', 'documentation': { 'description': 'Specifies the ID of an attribute.' }, 'name': 'attributeId', 'type': 'ViAttr' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the value to which you want to set the attribute. **Default\nValue**: None\n', 'note': '\nSome of the values might not be valid depending on the current\nsettings of the instrument session.\n' }, 'name': 'attributeValue', 'type': 'ViInt32' } ], 'returns': 'ViStatus' }, 'CheckAttributeViInt64': { 'codegen_method': 'no', 'documentation': { 'description': 'Checks the validity of a value you specify for a ViInt64 attribute.' }, 'parameters': [ { 'direction': 'in', 'documentation': { 'description': '\nIdentifies your instrument session. **vi** is obtained from the\nniFgen_init, nifgen_InitWithOptions, or nifgen_InitializeWithChannels\nfunctions and identifies a particular instrument session.\n' }, 'name': 'vi', 'type': 'ViSession' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the name of the channel on which to check the attribute value\nif the attribute is channel-based. If the attribute is not\nchannel-based, then pass VI_NULL or an empty string ("").\n\n**Default Value**: "" (empty string)\n' }, 'name': 'channelName', 'type': 'ViConstString' }, { 'direction': 'in', 'documentation': { 'description': 'Specifies the ID of an attribute.' }, 'name': 'attributeId', 'type': 'ViAttr' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the value to which you want to set the attribute. **Default\nValue**: None\n', 'note': '\nSome of the values might not be valid depending on the current\nsettings of the instrument session.\n' }, 'name': 'attributeValue', 'type': 'ViInt64' } ], 'returns': 'ViStatus' }, 'CheckAttributeViReal64': { 'codegen_method': 'no', 'documentation': { 'description': 'Checks the validity of a value you specify for a ViReal64 attribute.' }, 'parameters': [ { 'direction': 'in', 'documentation': { 'description': '\nIdentifies your instrument session. **vi** is obtained from the\nniFgen_init, nifgen_InitWithOptions, or nifgen_InitializeWithChannels\nfunctions and identifies a particular instrument session.\n' }, 'name': 'vi', 'type': 'ViSession' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the name of the channel on which to check the attribute value\nif the attribute is channel-based. If the attribute is not\nchannel-based, then pass VI_NULL or an empty string ("").\n\n**Default Value**: "" (empty string)\n' }, 'name': 'channelName', 'type': 'ViConstString' }, { 'direction': 'in', 'documentation': { 'description': 'Specifies the ID of an attribute.' }, 'name': 'attributeId', 'type': 'ViAttr' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the value to which you want to set the attribute. **Default\nValue**: None\n', 'note': '\nSome of the values might not be valid depending on the current\nsettings of the instrument session.\n' }, 'name': 'attributeValue', 'type': 'ViReal64' } ], 'returns': 'ViStatus' }, 'CheckAttributeViSession': { 'codegen_method': 'no', 'documentation': { 'description': 'Checks the validity of a value you specify for a ViSession attribute.' }, 'parameters': [ { 'direction': 'in', 'documentation': { 'description': '\nIdentifies your instrument session. **vi** is obtained from the\nniFgen_init, nifgen_InitWithOptions, or nifgen_InitializeWithChannels\nfunctions and identifies a particular instrument session.\n' }, 'name': 'vi', 'type': 'ViSession' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the name of the channel on which to check the attribute value\nif the attribute is channel-based. If the attribute is not\nchannel-based, then pass VI_NULL or an empty string ("").\n\n**Default Value**: "" (empty string)\n' }, 'name': 'channelName', 'type': 'ViConstString' }, { 'direction': 'in', 'documentation': { 'description': 'Specifies the ID of an attribute.' }, 'name': 'attributeId', 'type': 'ViAttr' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the value to which you want to set the attribute. **Default\nValue**: None\n', 'note': '\nSome of the values might not be valid depending on the current\nsettings of the instrument session.\n' }, 'name': 'attributeValue', 'type': 'ViSession' } ], 'returns': 'ViStatus' }, 'CheckAttributeViString': { 'codegen_method': 'no', 'documentation': { 'description': 'Checks the validity of a value you specify for a ViString attribute.' }, 'parameters': [ { 'direction': 'in', 'documentation': { 'description': '\nIdentifies your instrument session. **vi** is obtained from the\nniFgen_init, nifgen_InitWithOptions, or nifgen_InitializeWithChannels\nfunctions and identifies a particular instrument session.\n' }, 'name': 'vi', 'type': 'ViSession' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the name of the channel on which to check the attribute value\nif the attribute is channel-based. If the attribute is not\nchannel-based, then pass VI_NULL or an empty string ("").\n\n**Default Value**: "" (empty string)\n' }, 'name': 'channelName', 'type': 'ViConstString' }, { 'direction': 'in', 'documentation': { 'description': 'Specifies the ID of an attribute.' }, 'name': 'attributeId', 'type': 'ViAttr' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the value which you want to verify as a valid value for the\nattribute.\n\n**Default Value**: None\n', 'note': '\nSome of the values might not be valid depending on the current\nsettings of the instrument session.\n' }, 'name': 'attributeValue', 'type': 'ViConstString' } ], 'returns': 'ViStatus' }, 'ClearArbMemory': { 'documentation': { 'description': '\nRemoves all previously created arbitrary waveforms, sequences, and\nscripts from the signal generator memory and invalidates all waveform\nhandles, sequence handles, and waveform names.\n', 'note': '\nThe signal generator must not be in the Generating state when you\ncall this function.\n' }, 'parameters': [ { 'direction': 'in', 'documentation': { 'description': '\nIdentifies your instrument session. **vi** is obtained from the\nniFgen_init, nifgen_InitWithOptions, or nifgen_InitializeWithChannels\nfunctions and identifies a particular instrument session.\n' }, 'name': 'vi', 'type': 'ViSession' } ], 'returns': 'ViStatus' }, 'ClearArbSequence': { 'documentation': { 'description': '\nRemoves a previously created arbitrary sequence from the signal\ngenerator memory and invalidates the sequence handle.\n', 'note': '\nThe signal generator must not be in the Generating state when you\ncall this function.\n' }, 'parameters': [ { 'direction': 'in', 'documentation': { 'description': '\nIdentifies your instrument session. **vi** is obtained from the\nniFgen_init, nifgen_InitWithOptions, or nifgen_InitializeWithChannels\nfunctions and identifies a particular instrument session.\n' }, 'name': 'vi', 'type': 'ViSession' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the handle of the arbitrary sequence that you want the signal\ngenerator to remove. You can create an arbitrary sequence using the\nnifgen_CreateArbSequence or nifgen_CreateAdvancedArbSequence function.\nThese functions return a handle that you use to identify the sequence.\n\n| **Defined Value**:\n| NIFGEN_VAL_ALL_SEQUENCES—Remove all sequences from the signal\n generator\n\n**Default Value**: None\n' }, 'name': 'sequenceHandle', 'type': 'ViInt32' } ], 'returns': 'ViStatus' }, 'ClearArbWaveform': { 'codegen_method': 'private', 'documentation': { 'description': '\nRemoves a previously created arbitrary waveform from the signal\ngenerator memory and invalidates the waveform handle.\n', 'note': '\nThe signal generator must not be in the Generating state when you\ncall this function.\n' }, 'method_name_for_documentation': 'delete_waveform', 'parameters': [ { 'direction': 'in', 'documentation': { 'description': '\nIdentifies your instrument session. **vi** is obtained from the\nniFgen_init, nifgen_InitWithOptions, or nifgen_InitializeWithChannels\nfunctions and identifies a particular instrument session.\n' }, 'name': 'vi', 'type': 'ViSession' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the handle of the arbitrary waveform that you want the signal\ngenerator to remove.\n\nYou can create multiple arbitrary waveforms using one of the following\nniFgen Create Waveform functions:\n\n- niFgen_CreateWaveformF64\n- niFgen_CreateWaveformI16\n- niFgen_CreateWaveformFromFileI16\n- niFgen_CreateWaveformFromFileF64\n- niFgen_CreateWaveformFromFileHWS\n\n**Defined Value**:\n\nNIFGEN_VAL_ALL_WAVEFORMS—Remove all waveforms from the signal\ngenerator.\n\n**Default Value**: None\n' }, 'name': 'waveformHandle', 'type': 'ViInt32' } ], 'returns': 'ViStatus' }, 'ClearError': { 'codegen_method': 'no', 'documentation': { 'description': '\nClears the error information for the current execution thread and the\nIVI session you specify. If you pass VI_NULL for the **vi** parameter,\nthis function clears the error information only for the current\nexecution thread.\n\nThis function sets the error code to VI_SUCCESS (0), and sets the error\ndescription string to "" (empty string).\n\nThe IVI Engine also maintains this error information separately for each\nthread. This feature is useful if you do not have a session handle to\npass to the nifgen_ClearError or the nifgen_GetError function. This\nsituation occurs when a call to the nifgen_init or\nnifgen_InitWithOptions function fails.\n' }, 'parameters': [ { 'direction': 'in', 'documentation': { 'description': '\nIdentifies your instrument session. **vi** is obtained from the\nniFgen_init, nifgen_InitWithOptions, or nifgen_InitializeWithChannels\nfunctions and identifies a particular instrument session.\n' }, 'name': 'vi', 'type': 'ViSession' } ], 'returns': 'ViStatus' }, 'ClearFreqList': { 'documentation': { 'description': '\nRemoves a previously created frequency list from the signal generator\nmemory and invalidates the frequency list handle.\n', 'note': '\nThe signal generator must not be in the Generating state when you\ncall this function.\n' }, 'parameters': [ { 'direction': 'in', 'documentation': { 'description': '\nIdentifies your instrument session. **vi** is obtained from the\nniFgen_init, nifgen_InitWithOptions, or nifgen_InitializeWithChannels\nfunctions and identifies a particular instrument session.\n' }, 'name': 'vi', 'type': 'ViSession' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the handle of the frequency list you want the signal generator\nto remove. You create multiple frequency lists using\nniFgen_CreateFreqList. niFgen_CreateFreqList returns a handle that you\nuse to identify each list. Specify a value of -1 to clear all frequency\nlists.\n\n**Defined Value**\n\nNIFGEN_VAL_ALL_FLISTS—Remove all frequency lists from the signal\ngenerator.\n\n**Default Value**: None\n' }, 'name': 'frequencyListHandle', 'type': 'ViInt32' } ], 'returns': 'ViStatus' }, 'ClearInterchangeWarnings': { 'codegen_method': 'no', 'documentation': { 'description': 'Clears the list of current interchange warnings.' }, 'parameters': [ { 'direction': 'in', 'documentation': { 'description': '\nIdentifies your instrument session. **vi** is obtained from the\nniFgen_init, nifgen_InitWithOptions, or nifgen_InitializeWithChannels\nfunctions and identifies a particular instrument session.\n' }, 'name': 'vi', 'type': 'ViSession' } ], 'returns': 'ViStatus' }, 'ClearUserStandardWaveform': { 'documentation': { 'description': '\nClears the user-defined waveform created by the\nnifgen_DefineUserStandardWaveform function.\n' }, 'parameters': [ { 'direction': 'in', 'documentation': { 'description': '\nIdentifies your instrument session. **vi** is obtained from the\nniFgen_init, nifgen_InitWithOptions, or nifgen_InitializeWithChannels\nfunctions and identifies a particular instrument session.\n' }, 'name': 'vi', 'type': 'ViSession' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the channel name from which you want to clear a user standard\nwaveform.\n\n**Default Value**: "0"\n' }, 'name': 'channelName', 'type': 'ViConstString' } ], 'returns': 'ViStatus' }, 'CloseExtCal': { 'codegen_method': 'no', 'documentation': { 'description': '\nCloses an NI-FGEN external calibration session and, if specified, stores\nthe new calibration constants and calibration data, such as time and\ntemperature, in the onboard EEPROM.\n' }, 'parameters': [ { 'direction': 'in', 'documentation': { 'description': '\nIdentifies your instrument session. **vi** is obtained from the\nnifgen_InitExtCal function and identifies a particular instrument\nsession.\n' }, 'name': 'vi', 'type': 'ViSession' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies he action to perform upon closing.\n\n**Defined Values**\n\n**Default Value**: NIFGEN_VAL_EXT_CAL_ABORT\n', 'table_body': [ [ 'NIFGEN_VAL_EXT_CAL_ABORT', 'No changes are made to the calibration constants and data in the EEPROM.' ], [ 'NIFGEN_VAL_EXT_CAL_COMMIT', 'The new calibration constants and data determined during the external calibration session are stored in the onboard EEPROM.' ] ] }, 'name': 'action', 'type': 'ViInt32' } ], 'returns': 'ViStatus' }, 'Commit': { 'documentation': { 'description': '\nCauses a transition to the Committed state. This function verifies\nattribute values, reserves the device, and commits the attribute values\nto the device. If the attribute values are all valid, NI-FGEN sets the\ndevice hardware configuration to match the session configuration. This\nfunction does not support the NI 5401/5404/5411/5431 signal generators.\n\nIn the Committed state, you can load waveforms, scripts, and sequences\ninto memory. If any attributes are changed, NI-FGEN implicitly\ntransitions back to the Idle state, where you can program all session\nproperties before applying them to the device. This function has no\neffect if the device is already in the Committed or Generating state and\nreturns a successful status value.\n\nCalling this VI before the niFgen Initiate Generation VI is optional but\nhas the following benefits:\n\n- Routes are committed, so signals are exported or imported.\n- Any Reference Clock and external clock circuits are phase-locked.\n- A subsequent niFgen_InitiateGeneration function can run faster\n because the device is already configured.\n' }, 'parameters': [ { 'direction': 'in', 'documentation': { 'description': '\nIdentifies your instrument session. **vi** is obtained from the\nniFgen_init, nifgen_InitWithOptions, or nifgen_InitializeWithChannels\nfunctions and identifies a particular instrument session.\n' }, 'name': 'vi', 'type': 'ViSession' } ], 'returns': 'ViStatus' }, 'ConfigureAmplitude': { 'codegen_method': 'no', 'documentation': { 'description': '\nConfigures the amplitude of the standard waveform that you want the\nsignal generator to produce.\n' }, 'parameters': [ { 'direction': 'in', 'documentation': { 'description': '\nIdentifies your instrument session. **vi** is obtained from the\nniFgen_init, nifgen_InitWithOptions, or nifgen_InitializeWithChannels\nfunctions and identifies a particular instrument session.\n' }, 'name': 'vi', 'type': 'ViSession' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the channel name for which you want to configure a standard\nwaveform.\n\n**Default Value**: "0"\n' }, 'name': 'channelName', 'type': 'ViConstString' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the amplitude of the standard waveform that you want the\nsignal generator to produce. This value is the amplitude at the output\nterminal. NI-FGEN sets the NIFGEN_ATTR_FUNC_AMPLITUDE attribute to\nthis value.\n\nFor example, to produce a waveform ranging from –5.00 V to +5.00 V, set\nthe amplitude to 10.00 V.\n\n**Units**: peak-to-peak voltage\n\n**Default Value**: None\n', 'note': '\nThis parameter does not affect signal generator behavior when you set\nthe **waveform** parameter of the niFgen_ConfigureStandardWaveform\nfunction to NIFGEN_VAL_WFM_DC.\n' }, 'name': 'amplitude', 'type': 'ViReal64' } ], 'returns': 'ViStatus' }, 'ConfigureArbSequence': { 'codegen_method': 'public', 'documentation': { 'description': '\nConfigures the signal generator attributes that affect arbitrary\nsequence generation. Sets the NIFGEN_ATTR_ARB_SEQUENCE_HANDLE,\nNIFGEN_ATTR_ARB_GAIN, and NIFGEN_ATTR_ARB_OFFSET attributes.\n', 'note': '\nThe signal generator must not be in the Generating state when you call\nthis function.\n' }, 'parameters': [ { 'direction': 'in', 'documentation': { 'description': '\nIdentifies your instrument session. **vi** is obtained from the\nniFgen_init, nifgen_InitWithOptions, or nifgen_InitializeWithChannels\nfunctions and identifies a particular instrument session.\n' }, 'name': 'vi', 'type': 'ViSession' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the channel name from which you want to configure an arbitrary\nsequence.\n\n**Default Value**: "0"\n' }, 'name': 'channelName', 'type': 'ViConstString' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the handle of the arbitrary sequence that you want the signal\ngenerator to produce. NI-FGEN sets the\nNIFGEN_ATTR_ARB_SEQUENCE_HANDLE attribute to this value. You can\ncreate an arbitrary sequence using the niFgen_CreateArbSequence or\nniFgen_CreateAdvancedArbSequence function. These functions return a\nhandle that you use to identify the sequence.\n\n**Default Value**: None\n' }, 'name': 'sequenceHandle', 'type': 'ViInt32' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the factor by which the signal generator scales the arbitrary\nwaveforms in the sequence. When you create an arbitrary waveform, you\nmust first normalize the data points to a range of –1.00 to +1.00. You\ncan use this parameter to scale the waveform to other ranges. The gain\nis applied before the offset is added.\n\nFor example, to configure the output signal to range from –2.00 to\n+2.00 V, set **gain** to 2.00.\n\n**Units**: unitless\n\n**Default Value**: None\n' }, 'name': 'gain', 'type': 'ViReal64' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the value the signal generator adds to the arbitrary waveform\ndata. When you create arbitrary waveforms, you must first normalize the\ndata points to a range of –1.00 to +1.00 V. You can use this parameter\nto shift the range of the arbitrary waveform. NI-FGEN sets the\nNIFGEN_ATTR_ARB_OFFSET attribute to this value.\n\nFor example, to configure the output signal to range from 0.00 to 2.00 V\ninstead of –1.00 to 1.00 V, set the offset to 1.00.\n\n**Units**: volts\n\n**Default Value**: None\n' }, 'name': 'offset', 'type': 'ViReal64' } ], 'returns': 'ViStatus' }, 'ConfigureArbWaveform': { 'codegen_method': 'public', 'documentation': { 'description': '\nConfigures the attributes of the signal generator that affect arbitrary\nwaveform generation. Sets the NIFGEN_ATTR_ARB_WAVEFORM_HANDLE,\nNIFGEN_ATTR_ARB_GAIN, and NIFGEN_ATTR_ARB_OFFSET attributes.\n', 'note': '\nThe signal generator must not be in the Generating state when you call\nthis function.\n' }, 'parameters': [ { 'direction': 'in', 'documentation': { 'description': '\nIdentifies your instrument session. **vi** is obtained from the\nniFgen_init, nifgen_InitWithOptions, or nifgen_InitializeWithChannels\nfunctions and identifies a particular instrument session.\n' }, 'name': 'vi', 'type': 'ViSession' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the channel name for which you want to configure an arbitrary\nwaveform.\n\n**Default Value**: "0"\n' }, 'name': 'channelName', 'type': 'ViConstString' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the handle of the arbitrary waveform you want the signal\ngenerator to produce. NI-FGEN sets the\nNIFGEN_ATTR_ARB_WAVEFORM_HANDLE attribute to this value. You can\ncreate an arbitrary waveform using one of the following niFgen Create\nWaveform functions:\n\n- niFgen_CreateWaveformF64\n- niFgen_CreateWaveformI16\n- niFgen_CreateWaveformFromFileI16\n- niFgen_CreateWaveformFromFileF64\n- niFgen_CreateWaveformFromFileHWS\n\nThese functions return a handle that you use to identify the waveform.\n\n**Default Value**: None\n' }, 'name': 'waveformHandle', 'type': 'ViInt32' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the factor by which the signal generator scales the arbitrary\nwaveforms in the sequence. When you create an arbitrary waveform, you\nmust first normalize the data points to a range of –1.00 to +1.00. You\ncan use this parameter to scale the waveform to other ranges. The gain\nis applied before the offset is added.\n\nFor example, to configure the output signal to range from –2.00 to\n+2.00 V, set **gain** to 2.00.\n\n**Units**: unitless\n\n**Default Value**: None\n' }, 'name': 'gain', 'type': 'ViReal64' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the value the signal generator adds to the arbitrary waveform\ndata. When you create arbitrary waveforms, you must first normalize the\ndata points to a range of –1.00 to +1.00 V. You can use this parameter\nto shift the range of the arbitrary waveform. NI-FGEN sets the\nNIFGEN_ATTR_ARB_OFFSET attribute to this value.\n\nFor example, to configure the output signal to range from 0.00 to 2.00 V\ninstead of –1.00 to 1.00 V, set the offset to 1.00.\n\n**Units**: volts\n\n**Default Value**: None\n' }, 'name': 'offset', 'type': 'ViReal64' } ], 'returns': 'ViStatus' }, 'ConfigureChannels': { 'codegen_method': 'no', 'documentation': { 'description': '\nConfigures the channels to use with the instrument specified in the\n**vi** parameter. If you call this function, you must call it\nimmediately after initializing your session and before configuring\nattributes or writing data.\n' }, 'parameters': [ { 'direction': 'in', 'documentation': { 'description': '\nIdentifies your instrument session. **vi** is obtained from the\nniFgen_init, nifgen_InitWithOptions, or nifgen_InitializeWithChannels\nfunctions and identifies a particular instrument session.\n' }, 'name': 'vi', 'type': 'ViSession' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the channel on which all subsequent channel-based attributes\nin the session are set. Valid values are non-negative integers. For\nexample, 0 is the only valid value on devices with one channel, while\ndevices with two channels support values of 0 and 1. You can specify\nmore than one channel by inserting commas between values (for example,\n0,1).\n' }, 'name': 'channels', 'type': 'ViConstString' } ], 'returns': 'ViStatus' }, 'ConfigureClockMode': { 'codegen_method': 'no', 'documentation': { 'description': '\nSelects the clock mode for the signal generator.\n\nSome signal generators allow you to switch the Sample Clock to\nHigh-Resolution or Automatic Sampling mode with this function.\n\nWhen you select NIFGEN_VAL_DIVIDE_DOWN, NI-FGEN rounds the sample\nrate to a frequency that can be achieved by dividing down the board\nclock (Sample Clock timebase). However, if you select\nNIFGEN_VAL_HIGH_RESOLUTION, you can set the sample rate to any value.\nIf you select NIFGEN_VAL_AUTOMATIC, NI-FGEN selects the clock mode\nbased on the sample rate, using divide-down sampling when possible.\n', 'note': '\nThe signal generator must not be in the Generating state when you call\nthis function.\n' }, 'parameters': [ { 'direction': 'in', 'documentation': { 'description': '\nIdentifies your instrument session. **vi** is obtained from the\nniFgen_init, nifgen_InitWithOptions, or nifgen_InitializeWithChannels\nfunctions and identifies a particular instrument session.\n' }, 'name': 'vi', 'type': 'ViSession' }, { 'direction': 'in', 'documentation': { 'description': '\nSets the clock mode of the signal generator.\n\n****Defined Values****\n\n**Default Value**: NIFGEN_VAL_HIGH_RESOLUTION (NI 5450, NI 5451),\nNIFGEN_VAL_DIVIDE_DOWN (all other devices)\n', 'table_body': [ [ 'NIFGEN_VAL_DIVIDE_DOWN', '**Divide down sampling**—Sample rates are generated by dividing the source frequency.' ], [ 'NIFGEN_VAL_HIGH_RESOLUTION', '**High resolution sampling**—Sample rate is generated by a high-resolution clock source.' ], [ 'NIFGEN_VAL_AUTOMATIC', '**Automatic Selection**—NI-FGEN selects between the divide-down and high-resolution clocking modes.' ] ] }, 'name': 'clockMode', 'type': 'ViInt32' } ], 'returns': 'ViStatus' }, 'ConfigureCustomFIRFilterCoefficients': { 'codegen_method': 'no', 'documentation': { 'description': '\nSets the FIR filter coefficients used by the onboard signal processing\nblock. The values are coerced to the closest settings achievable by the\nsignal generator.\n\nRefer to the *FIR Filter* topic for your device in the *NI Signal\nGenerators Help* for more information about FIR filter coefficients.\nThis function is supported only for the NI 5441.\n', 'note': '\nThe signal generator must not be in the Generating state when you call\nthis function.\n' }, 'parameters': [ { 'direction': 'in', 'documentation': { 'description': '\nIdentifies your instrument session. **vi** is obtained from the\nniFgen_init, nifgen_InitWithOptions, or nifgen_InitializeWithChannels\nfunctions and identifies a particular instrument session.\n' }, 'name': 'vi', 'type': 'ViSession' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the channel name for which you want to configure the operation\nmode.\n\n**Defined Value**: "0"\n' }, 'name': 'channelName', 'type': 'ViConstString' }, { 'direction': 'in', 'documentation': { 'description': 'Specifies the number of coefficients. The NI 5441 requires 95.' }, 'name': 'numberOfCoefficients', 'type': 'ViInt32' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the array of data the onboard signal processor uses for the\nFIR filter coefficients. For the NI 5441, provide a symmetric array of\n95 coefficients to this parameter. The array must have at least as many\nelements as the value that you specify in the **numberOfCoefficients**\nparameter in this function.\nThe coefficients should range between –1.00 and +1.00.\n' }, 'name': 'coefficientsArray', 'size': { 'mechanism': 'len', 'value': 'numberOfCoefficients' }, 'type': 'ViReal64[]' } ], 'returns': 'ViStatus' }, 'ConfigureDigitalEdgeScriptTrigger': { 'codegen_method': 'no', 'documentation': { 'description': 'Configures the specified Script Trigger for digital edge triggering.' }, 'parameters': [ { 'direction': 'in', 'documentation': { 'description': '\nIdentifies your instrument session. **vi** is obtained from the\nniFgen_init, nifgen_InitWithOptions, or nifgen_InitializeWithChannels\nfunctions and identifies a particular instrument session.\n' }, 'name': 'vi', 'type': 'ViSession' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the Script Trigger used for triggering.\n\n**Defined Values**\n\n**Default Value**: "ScriptTrigger0"\n', 'table_body': [ [ '"ScriptTrigger0"', 'Script Trigger 0' ], [ '"ScriptTrigger1"', 'Script Trigger 1' ], [ '"ScriptTrigger2"', 'Script Trigger 2' ], [ '"ScriptTrigger3"', 'Script Trigger 3' ] ] }, 'name': 'triggerId', 'type': 'ViConstString' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies which trigger source the signal generator uses.\n\n**Defined Values**\n\n**Default Value**: "PFI0"\n', 'table_body': [ [ '"PFI0"', 'PFI 0' ], [ '"PFI1"', 'PFI 1' ], [ '"PFI2"', 'PFI 2' ], [ '"PFI3"', 'PFI 3' ], [ '"PFI4"', 'PFI 4' ], [ '"PFI5"', 'PFI 5' ], [ '"PFI6"', 'PFI 6' ], [ '"PFI7"', 'PFI 7' ], [ '"PXI_Trig0"', 'PXI trigger line 0 or RTSI line 0' ], [ '"PXI_Trig1"', 'PXI trigger line 1 or RTSI line 1' ], [ '"PXI_Trig2"', 'PXI trigger line 2 or RTSI line 2' ], [ '"PXI_Trig3"', 'PXI trigger line 3 or RTSI line 3' ], [ '"PXI_Trig4"', 'PXI trigger line 4 or RTSI line 4' ], [ '"PXI_Trig5"', 'PXI trigger line 5 or RTSI line 5' ], [ '"PXI_Trig6"', 'PXI trigger line 6 or RTSI line 6' ], [ '"PXI_Trig7"', 'PXI trigger line 7 or RTSI line 7' ], [ '"PXI_Star"', 'PXI star trigger line' ] ] }, 'name': 'source', 'type': 'ViConstString' }, { 'default_value': 'ScriptTriggerDigitalEdgeEdge.RISING', 'direction': 'in', 'documentation': { 'description': '\nSpecifies the edge to detect.\n\n****Defined Values****\n\n****Default Value**:** NIFGEN_VAL_RISING_EDGE\n', 'table_body': [ [ 'NIFGEN_VAL_RISING_EDGE', 'Occurs when the signal transitions from low level to high level.' ], [ 'NIFGEN_VAL_FALLING_EDGE', 'Occurs when the signal transitions from high level to low level.' ] ] }, 'name': 'edge', 'type': 'ViInt32' } ], 'returns': 'ViStatus' }, 'ConfigureDigitalEdgeStartTrigger': { 'codegen_method': 'no', 'documentation': { 'description': 'Configures the Start Trigger for digital edge triggering.' }, 'parameters': [ { 'direction': 'in', 'documentation': { 'description': '\nIdentifies your instrument session. **vi** is obtained from the\nniFgen_init, nifgen_InitWithOptions, or nifgen_InitializeWithChannels\nfunctions and identifies a particular instrument session.\n' }, 'name': 'vi', 'type': 'ViSession' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies which trigger source the signal generator uses.\n\n**Defined Values**\n\n**Default Value**: "PFI0"\n', 'table_body': [ [ '"PFI0"', 'PFI 0' ], [ '"PFI1"', 'PFI 1' ], [ '"PFI2"', 'PFI 2' ], [ '"PFI3"', 'PFI 3' ], [ '"PFI4"', 'PFI 4' ], [ '"PFI5"', 'PFI 5' ], [ '"PFI6"', 'PFI 6' ], [ '"PFI7"', 'PFI 7' ], [ '"PXI_Trig0"', 'PXI trigger line 0 or RTSI line 0' ], [ '"PXI_Trig1"', 'PXI trigger line 1 or RTSI line 1' ], [ '"PXI_Trig2"', 'PXI trigger line 2 or RTSI line 2' ], [ '"PXI_Trig3"', 'PXI trigger line 3 or RTSI line 3' ], [ '"PXI_Trig4"', 'PXI trigger line 4 or RTSI line 4' ], [ '"PXI_Trig5"', 'PXI trigger line 5 or RTSI line 5' ], [ '"PXI_Trig6"', 'PXI trigger line 6 or RTSI line 6' ], [ '"PXI_Trig7"', 'PXI trigger line 7 or RTSI line 7' ], [ '"PXI_Star"', 'PXI star trigger line' ] ] }, 'name': 'source', 'type': 'ViConstString' }, { 'default_value': 'StartTriggerDigitalEdgeEdge.RISING', 'direction': 'in', 'documentation': { 'description': '\nSpecifies the edge to detect.\n\n****Defined Values****\n\n****Default Value**:** NIFGEN_VAL_RISING_EDGE\n', 'table_body': [ [ 'NIFGEN_VAL_RISING_EDGE', 'Occurs when the signal transitions from low level to high level.' ], [ 'NIFGEN_VAL_FALLING_EDGE', 'Occurs when the signal transitions from high level to low level.' ] ] }, 'name': 'edge', 'type': 'ViInt32' } ], 'returns': 'ViStatus' }, 'ConfigureDigitalLevelScriptTrigger': { 'codegen_method': 'no', 'documentation': { 'description': 'Configures the specified Script Trigger for digital level triggering.' }, 'parameters': [ { 'direction': 'in', 'documentation': { 'description': '\nIdentifies your instrument session. **vi** is obtained from the\nniFgen_init, nifgen_InitWithOptions, or nifgen_InitializeWithChannels\nfunctions and identifies a particular instrument session.\n' }, 'name': 'vi', 'type': 'ViSession' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the Script Trigger used for triggering.\n\n**Defined Values**\n\n**Default Value**: "ScriptTrigger0"\n', 'table_body': [ [ '"ScriptTrigger0"', 'Script Trigger 0' ], [ '"ScriptTrigger1"', 'Script Trigger 1' ], [ '"ScriptTrigger2"', 'Script Trigger 2' ], [ '"ScriptTrigger3"', 'Script Trigger 3' ] ] }, 'name': 'triggerId', 'type': 'ViConstString' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies which trigger source the signal generator uses.\n\n**Defined Values**\n\n**Default Value**: "PFI0"\n', 'table_body': [ [ '"PFI0"', 'PFI 0' ], [ '"PFI1"', 'PFI 1' ], [ '"PFI2"', 'PFI 2' ], [ '"PFI3"', 'PFI 3' ], [ '"PFI4"', 'PFI 4' ], [ '"PFI5"', 'PFI 5' ], [ '"PFI6"', 'PFI 6' ], [ '"PFI7"', 'PFI 7' ], [ '"PXI_Trig0"', 'PXI trigger line 0 or RTSI line 0' ], [ '"PXI_Trig1"', 'PXI trigger line 1 or RTSI line 1' ], [ '"PXI_Trig2"', 'PXI trigger line 2 or RTSI line 2' ], [ '"PXI_Trig3"', 'PXI trigger line 3 or RTSI line 3' ], [ '"PXI_Trig4"', 'PXI trigger line 4 or RTSI line 4' ], [ '"PXI_Trig5"', 'PXI trigger line 5 or RTSI line 5' ], [ '"PXI_Trig6"', 'PXI trigger line 6 or RTSI line 6' ], [ '"PXI_Trig7"', 'PXI trigger line 7 or RTSI line 7' ], [ '"PXI_Star"', 'PXI star trigger line' ] ] }, 'name': 'source', 'type': 'ViConstString' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies whether the Script Trigger asserts on a high or low digital\nlevel.\n\n**Defined Values**\n\n**Default Value**: "HighLevel"\n', 'table_body': [ [ '"HighLevel"', 'Script Trigger asserts on a high digital level.' ], [ '"LowLevel"', 'Script Trigger asserts on a low digital level.' ] ] }, 'name': 'triggerWhen', 'type': 'ViInt32' } ], 'returns': 'ViStatus' }, 'ConfigureFreqList': { 'codegen_method': 'public', 'documentation': { 'description': '\nConfigures the attributes of the signal generator that affect frequency\nlist generation (the NIFGEN_ATTR_FREQ_LIST_HANDLE,\nNIFGEN_ATTR_FUNC_AMPLITUDE, NIFGEN_ATTR_FUNC_DC_OFFSET, and\nNIFGEN_ATTR_FUNC_START_PHASE attributes).\n', 'note': '\nThe signal generator must not be in the Generating state when you call\nthis function.\n' }, 'parameters': [ { 'direction': 'in', 'documentation': { 'description': '\nIdentifies your instrument session. **vi** is obtained from the\nniFgen_init, nifgen_InitWithOptions, or nifgen_InitializeWithChannels\nfunctions and identifies a particular instrument session.\n' }, 'name': 'vi', 'type': 'ViSession' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the channel name for which you want to configure the frequency\nlist.\n\n**Default Value**: "0"\n' }, 'name': 'channelName', 'type': 'ViConstString' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the handle of the frequency list that you want the signal\ngenerator to produce. NI-FGEN sets the NIFGEN_ATTR_FREQ_LIST_HANDLE\nattribute to this value. You can create a frequency list using the\nniFgen_CreateFreqList function, which returns a handle that you use to\nidentify the list.\n**Default Value**: None\n' }, 'name': 'frequencyListHandle', 'type': 'ViInt32' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the amplitude of the standard waveform that you want the\nsignal generator to produce. This value is the amplitude at the output\nterminal. NI-FGEN sets the NIFGEN_ATTR_FUNC_AMPLITUDE attribute to\nthis value.\n\nFor example, to produce a waveform ranging from –5.00 V to +5.00 V, set\nthe amplitude to 10.00 V.\n\n**Units**: peak-to-peak voltage\n\n**Default Value**: None\n', 'note': '\nThis parameter does not affect signal generator behavior when you set\nthe **waveform** parameter of the niFgen_ConfigureStandardWaveform\nfunction to NIFGEN_VAL_WFM_DC.\n' }, 'name': 'amplitude', 'type': 'ViReal64' }, { 'default_value': 0.0, 'direction': 'in', 'documentation': { 'description': '\nSpecifies the DC offset of the standard waveform that you want the\nsignal generator to produce. The value is the offset from ground to the\ncenter of the waveform you specify with the **waveform** parameter,\nobserved at the output terminal. For example, to configure a waveform\nwith an amplitude of 10.00 V to range from 0.00 V to +10.00 V, set the\n**dcOffset** to 5.00 V. NI-FGEN sets the NIFGEN_ATTR_FUNC_DC_OFFSET\nattribute to this value.\n\n**Units**: volts\n\n**Default Value**: None\n' }, 'name': 'dcOffset', 'type': 'ViReal64' }, { 'default_value': 0.0, 'direction': 'in', 'documentation': { 'description': '\nSpecifies the horizontal offset of the standard waveform you want the\nsignal generator to produce. Specify this attribute in degrees of one\nwaveform cycle. NI-FGEN sets the NIFGEN_ATTR_FUNC_START_PHASE\nattribute to this value. A start phase of 180 degrees means output\ngeneration begins halfway through the waveform. A start phase of 360\ndegrees offsets the output by an entire waveform cycle, which is\nidentical to a start phase of 0 degrees.\n\n**Units**: degrees of one cycle\n\n**Default Value**: None degrees\n', 'note': '\nThis parameter does not affect signal generator behavior when you set\nthe **waveform** parameter to NIFGEN_VAL_WFM_DC.\n' }, 'name': 'startPhase', 'type': 'ViReal64' } ], 'returns': 'ViStatus' }, 'ConfigureFrequency': { 'codegen_method': 'no', 'documentation': { 'description': '\nConfigures the frequency of the standard waveform that you want the\nsignal generator to produce.\n' }, 'parameters': [ { 'direction': 'in', 'documentation': { 'description': '\nIdentifies your instrument session. **vi** is obtained from the\nniFgen_init, nifgen_InitWithOptions, or nifgen_InitializeWithChannels\nfunctions and identifies a particular instrument session.\n' }, 'name': 'vi', 'type': 'ViSession' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the channel name for which you want to configure a standard\nwaveform.\n\n**Default Value**: "0"\n' }, 'name': 'channelName', 'type': 'ViConstString' }, { 'direction': 'in', 'documentation': { 'description': '\n| Specifies the frequency of the standard waveform that you want the\n signal generator to produce. NI-FGEN sets the\n NIFGEN_ATTR_FUNC_FREQUENCY attribute to this value.\n\n**Units**: hertz\n\n**Default Value**: None\n', 'note': '\nThis parameter does not affect signal generator behavior when you set\nthe **waveform** parameter of the niFgen_ConfigureStandardWaveform\nfunction to NIFGEN_VAL_WFM_DC.\n' }, 'name': 'frequency', 'type': 'ViReal64' } ], 'returns': 'ViStatus' }, 'ConfigureGain': { 'codegen_method': 'no', 'documentation': { 'description': 'Configures the amount of gain to apply to the waveform.', 'note': '\nThe signal generator must not be in the Generating state when you call\nthis function.\n' }, 'parameters': [ { 'direction': 'in', 'documentation': { 'description': '\nIdentifies your instrument session. **vi** is obtained from the\nniFgen_init, nifgen_InitWithOptions, or nifgen_InitializeWithChannels\nfunctions and identifies a particular instrument session.\n' }, 'name': 'vi', 'type': 'ViSession' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the channel name for which you want to configure the gain.\n\n**Default Value**: "0"\n' }, 'name': 'channelName', 'type': 'ViConstString' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the factor by which the signal generator scales the arbitrary\nwaveforms in the sequence. When you create an arbitrary waveform, you\nmust first normalize the data points to a range of –1.00 to +1.00. You\ncan use this parameter to scale the waveform to other ranges. The gain\nis applied before the offset is added.\n\nFor example, to configure the output signal to range from –2.00 to\n+2.00 V, set **gain** to 2.00.\n\n**Units**: unitless\n\n**Default Value**: None\n' }, 'name': 'gain', 'type': 'ViReal64' } ], 'returns': 'ViStatus' }, 'ConfigureOperationMode': { 'codegen_method': 'no', 'documentation': { 'description': '\nDetermines how the signal generator produces waveforms. NI signal\ngenerators support only Continuous operation mode. To control trigger\nmode, use the nifgen_ConfigureTriggerMode function.\n' }, 'parameters': [ { 'direction': 'in', 'documentation': { 'description': '\nIdentifies your instrument session. **vi** is obtained from the\nniFgen_init, nifgen_InitWithOptions, or nifgen_InitializeWithChannels\nfunctions and identifies a particular instrument session.\n' }, 'name': 'vi', 'type': 'ViSession' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the channel name for which you want to configure the operation\nmode.\n\n**Defined Value**: "0"\n' }, 'name': 'channelName', 'type': 'ViConstString' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the operation mode you want the signal generator to use.\nNI-FGEN sets the NIFGEN_ATTR_OPERATION_MODE attribute to this value.\nNI-FGEN supports only one value.\n\n**Defined Value**: NIFGEN_VAL_OPERATE_CONTINUOUS\n' }, 'name': 'operationMode', 'type': 'ViInt32' } ], 'returns': 'ViStatus' }, 'ConfigureOutputEnabled': { 'codegen_method': 'no', 'documentation': { 'description': '\nConfigures the signal generator to generate a signal at the channel\noutput connector.\n' }, 'parameters': [ { 'direction': 'in', 'documentation': { 'description': '\nIdentifies your instrument session. **vi** is obtained from the\nniFgen_init, nifgen_InitWithOptions, or nifgen_InitializeWithChannels\nfunctions and identifies a particular instrument session.\n' }, 'name': 'vi', 'type': 'ViSession' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the channel name for which you want to enable the output.\n\n**Default Value**: "0"\n' }, 'name': 'channelName', 'type': 'ViConstString' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies whether you want to enable or disable the output. NI-FGEN uses\nthis value to set the NIFGEN_ATTR_OUTPUT_ENABLED attribute.\n\n****Defined Values****\n\n**Default Value**: VI_TRUE\n', 'table_body': [ [ 'VI_TRUE', 'Enable the output.' ], [ 'VI_FALSE', 'Disable the output.' ] ] }, 'name': 'enabled', 'type': 'ViBoolean' } ], 'returns': 'ViStatus' }, 'ConfigureOutputImpedance': { 'codegen_method': 'no', 'documentation': { 'description': 'Configures the output impedance for the channel you specify.' }, 'parameters': [ { 'direction': 'in', 'documentation': { 'description': '\nIdentifies your instrument session. **vi** is obtained from the\nniFgen_init, nifgen_InitWithOptions, or nifgen_InitializeWithChannels\nfunctions and identifies a particular instrument session.\n' }, 'name': 'vi', 'type': 'ViSession' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the channel name for which you want to set the output\nimpedance.\n\n**Default Value**: "0"\n' }, 'name': 'channelName', 'type': 'ViConstString' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the impedance value that you want the signal generator to use.\nNI-FGEN sets the NIFGEN_ATTR_OUTPUT_IMPEDANCE attribute to this\nvalue.\n\n**Units**: Ω (ohms)\n\n****Defined Values****:\n\n**Default Value**: NIFGEN_VAL_50_OHMS\n', 'table_body': [ [ 'NIFGEN_VAL_50_OHMS', 'Specifies that 50 Ω of impedance is used' ], [ 'NIFGEN_VAL_75_OHMS', 'Specifies that 75 Ω of impedance is used' ] ] }, 'name': 'impedance', 'type': 'ViReal64' } ], 'returns': 'ViStatus' }, 'ConfigureOutputMode': { 'codegen_method': 'no', 'documentation': { 'description': '\nConfigures the output mode of the signal generator. The output mode\ndetermines how the signal generator produces waveforms. For example, you\ncan select to generate a standard waveform, an arbitrary waveform, or a\nsequence of arbitrary waveforms.\n', 'note': '\nThe signal generator must not be in the Generating state when you\ncall this function.\n' }, 'parameters': [ { 'direction': 'in', 'documentation': { 'description': '\nIdentifies your instrument session. **vi** is obtained from the\nniFgen_init, nifgen_InitWithOptions, or nifgen_InitializeWithChannels\nfunctions and identifies a particular instrument session.\n' }, 'name': 'vi', 'type': 'ViSession' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the output mode that you want the signal generator to use. The\nvalue you specify determines which functions and attributes you can use\nto configure the waveform the signal generator produces.\nRefer to the NIFGEN_ATTR_OUTPUT_MODE attribute for more information\nabout setting this parameter.\n****Defined Values****\n**Default Value**: NIFGEN_VAL_OUTPUT_FUNC\n', 'table_body': [ [ 'NIFGEN_VAL_OUTPUT_FUNC', '**Standard Function mode**—Generates standard function waveforms such as sine, square, triangle, and so on.' ], [ 'NIFGEN_VAL_OUTPUT_FREQ_LIST', '**Frequency List mode**—Generates a standard function using a list of frequencies you define.' ], [ 'NIFGEN_VAL_OUTPUT_ARB', '**Arbitrary waveform mode**—Generates waveforms from user-created/provided waveform arrays of numeric data.' ], [ 'NIFGEN_VAL_OUTPUT_SEQ', '**Arbitrary sequence mode**—Generates downloaded waveforms in an order your specify.' ], [ 'NIFGEN_VAL_OUTPUT_SCRIPT', '**Script mode**—Allows you to use scripting to link and loop multiple waveforms in complex combinations.' ] ] }, 'name': 'outputMode', 'type': 'ViInt32' } ], 'returns': 'ViStatus' }, 'ConfigureP2PEndpointFullnessStartTrigger': { 'codegen_method': 'no', 'documentation': { 'description': '\nConfigures the Start Trigger for to detect peer-to-peer endpoint\nfullness. Generation begins when the number of samples in the\npeer-to-peer endpoint reaches the threshold indicated by the\n**p2pEndpointFullnessLevel** parameter.\n', 'note': '\nBecause there is an additional internal FIFO in the signal generator,\nthe writer peer must actually write 2,304 bytes more than the quantity\nof data specified by this function to satisfy the trigger level.\n' }, 'parameters': [ { 'direction': 'in', 'documentation': { 'description': '\nIdentifies your instrument session. **vi** is obtained from the\nniFgen_init, nifgen_InitWithOptions, or nifgen_InitializeWithChannels\nfunctions and identifies a particular instrument session.\n' }, 'name': 'vi', 'type': 'ViSession' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the quantity of data in the FIFO endpoint that asserts the\ntrigger. The value –1 specifies that NI-FGEN uses a default value based\non your endpoint configuration.\n\n**Units**: samples per channel\n' }, 'name': 'p2pEndpointFullnessLevel', 'type': 'ViInt32' } ], 'returns': 'ViStatus' }, 'ConfigureRefClockFrequency': { 'codegen_method': 'no', 'documentation': { 'description': '\nConfigures the signal generator reference clock frequency. The signal\ngenerator uses the reference clock to derive frequencies and sample\nrates when generating waveforms.\n', 'note': '\nThe signal generator must not be in the Generating state when you\ncall this function.\n' }, 'parameters': [ { 'direction': 'in', 'documentation': { 'description': '\nIdentifies your instrument session. **vi** is obtained from the\nniFgen_init, nifgen_InitWithOptions, or nifgen_InitializeWithChannels\nfunctions and identifies a particular instrument session.\n' }, 'name': 'vi', 'type': 'ViSession' }, { 'direction': 'in', 'documentation': { 'description': '\nThe reference clock frequency in Hz.\n\n**Default Value**: 10000000\n' }, 'name': 'referenceClockFrequency', 'type': 'ViReal64' } ], 'returns': 'ViStatus' }, 'ConfigureRefClockSource': { 'codegen_method': 'no', 'documentation': { 'description': '\nConfigures the signal generator reference clock source. The signal\ngenerator uses the reference clock to derive frequencies and sample\nrates when generating waveforms.\n' }, 'parameters': [ { 'direction': 'in', 'documentation': { 'description': '\nIdentifies your instrument session. **vi** is obtained from the\nniFgen_init, nifgen_InitWithOptions, or nifgen_InitializeWithChannels\nfunctions and identifies a particular instrument session.\n' }, 'name': 'vi', 'type': 'ViSession' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the reference clock source that you want the signal generator\nto use. NI-FGEN sets the NIFGEN_ATTR_REF_CLOCK_SOURCE attribute to\nthis value.\n\nThe signal generator derives the frequencies and sample rates that it\nuses to generate waveforms from the source you specify.\n\nFor example, when you set this parameter to\nNIFGEN_VAL_REF_CLOCK_EXTERNAL, the signal generator uses the signal\nit receives at its external clock terminal as the reference clock.\n\n****Defined Values****\n\n**Default Value**: NIFGEN_VAL_REF_CLOCK_INTERNAL\n', 'table_body': [ [ 'NIFGEN_VAL_REF_CLOCK_INTERNAL', 'Internal clock source' ], [ 'NIFGEN_VAL_REF_CLOCK_EXTERNAL', 'External clock source' ], [ 'NIFGEN_VAL_REF_CLOCK_RTSI_CLOCK', 'RTSI clock' ], [ 'NIFGEN_VAL_REF_CLOCK_TTL7', 'TTL 7' ], [ 'NIFGEN_VAL_PXI_CLK10', 'PXI 10 MHz clock' ], [ 'NIFGEN_VAL_REF_IN', 'External clock source' ], [ 'NIFGEN_VAL_RTSI_0', 'RTSI 0' ], [ 'NIFGEN_VAL_RTSI_1', 'RTSI 1' ], [ 'NIFGEN_VAL_RTSI_2', 'RTSI 2' ], [ 'NIFGEN_VAL_RTSI_3', 'RTSI 3' ], [ 'NIFGEN_VAL_RTSI_4', 'RTSI 4' ], [ 'NIFGEN_VAL_RTSI_5', 'RTSI 5' ], [ 'NIFGEN_VAL_RTSI_6', 'RTSI 6' ], [ 'NIFGEN_VAL_RTSI_7', 'RTSI 7' ], [ 'NIFGEN_VAL_CLK_IN', 'CLK IN front panel connector' ] ] }, 'name': 'referenceClockSource', 'type': 'ViInt32' } ], 'returns': 'ViStatus' }, 'ConfigureReferenceClock': { 'codegen_method': 'no', 'documentation': { 'description': '\nConfigures the signal generator Reference Clock source and frequency.\nThe signal generator uses the Reference Clock to tune the Sample Clock\ntimebase of the signal generator so that the frequency stability and\naccuracy of the Sample Clock timebase matches that of the Reference\nClock.\n' }, 'parameters': [ { 'direction': 'in', 'documentation': { 'description': '\nIdentifies your instrument session. **vi** is obtained from the\nniFgen_init, nifgen_InitWithOptions, or nifgen_InitializeWithChannels\nfunctions and identifies a particular instrument session.\n' }, 'name': 'vi', 'type': 'ViSession' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the source for the Reference Clock. For example, when you set\nthis parameter to "ClkIn," the signal generator uses the signal it\nreceives at its CLK IN front panel connector as the Reference Clock. The\nReference Clock phase-locks with the signal generator Sample Clock\ntimebase to allow the frequency stability and accuracy of the Sample\nClock timebase to match that of the Reference Clock.\n****Defined Values****\n**Default Value**: "None"\n', 'note': '\nThe following **Defined Values** are examples of possible Reference\nClock sources. For a complete list of the Reference Clock sources\navailable on your device, refer to the Routes topic for your device or\nthe **Device Routes** tab in MAX.\n', 'table_body': [ [ '"None"', 'No Reference Clock' ], [ '"PXI_Clk"', '10 MHz backplane Reference Clock' ], [ '"ClkIn"', 'CLK IN front panel connector' ], [ '"OnboardReferenceClock"', 'Onboard Reference Clock' ], [ '"RTSI7"', 'RTSI line 7' ], [ '"RefIn"', 'REF IN front panel connector' ] ] }, 'name': 'referenceClockSource', 'type': 'ViConstString' }, { 'direction': 'in', 'documentation': { 'description': '\nThe Reference Clock frequency in hertz.\n\n**Default Value**: 10000000\n' }, 'name': 'referenceClockFrequency', 'type': 'ViReal64' } ], 'returns': 'ViStatus' }, 'ConfigureSampleClockSource': { 'codegen_method': 'no', 'documentation': { 'description': '\nSets the source of the Sample Clock (Update Clock) of the signal\ngenerator.\n' }, 'parameters': [ { 'direction': 'in', 'documentation': { 'description': '\nIdentifies your instrument session. **vi** is obtained from the\nniFgen_init, nifgen_InitWithOptions, or nifgen_InitializeWithChannels\nfunctions and identifies a particular instrument session.\n' }, 'name': 'vi', 'type': 'ViSession' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the Sample Clock source the signal generator uses.\n****Defined Values****\n**Default Value**: "OnboardClock"\n', 'note': '\nThe following **Defined Values** are examples of possible Sample\nClock sources. For a complete list of the Sample Clock sources available\non your device, refer to the Routes topic for your device or the\n**Device Routes** tab in MAX.\n', 'table_body': [ [ '"OnboardClock"', 'Onboard Clock' ], [ '"ClkIn"', 'CLK IN front panel connector' ], [ '"PXI_Star"', 'PXI star trigger line' ], [ '"PXI_Trig0"', 'PXI trigger line 0 or RTSI line 0' ], [ '"PXI_Trig1"', 'PXI trigger line 1 or RTSI line 1' ], [ '"PXI_Trig2"', 'PXI trigger line 2 or RTSI line 2' ], [ '"PXI_Trig3"', 'PXI trigger line 3 or RTSI line 3' ], [ '"PXI_Trig4"', 'PXI trigger line 4 or RTSI line 4' ], [ '"PXI_Trig5"', 'PXI trigger line 5 or RTSI line 5' ], [ '"PXI_Trig6"', 'PXI trigger line 6 or RTSI line 6' ], [ '"PXI_Trig7"', 'PXI trigger line 7 or RTSI line 7' ], [ '"DDC_ClkIn"', 'Sample Clock from DDC connector' ] ] }, 'name': 'sampleClockSource', 'type': 'ViConstString' } ], 'returns': 'ViStatus' }, 'ConfigureSampleRate': { 'codegen_method': 'no', 'documentation': { 'description': '\nConfigures the NIFGEN_ATTR_ARB_SAMPLE_RATE attribute, which\ndetermines the rate at which the signal generator produces arbitrary\nwaveforms. When you configure the signal generator to produce an\narbitrary sequence, this value is the sample rate for all arbitrary\nwaveforms in the sequence.\n', 'note': '\nThe signal generator must not be in the Generating state when you call\nthis function.\n' }, 'parameters': [ { 'direction': 'in', 'documentation': { 'description': '\nIdentifies your instrument session. **vi** is obtained from the\nniFgen_init, nifgen_InitWithOptions, or nifgen_InitializeWithChannels\nfunctions and identifies a particular instrument session.\n' }, 'name': 'vi', 'type': 'ViSession' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the sample rate at which you want the signal generator to\ngenerate arbitrary waveforms. NI-FGEN sets the\nNIFGEN_ATTR_ARB_SAMPLE_RATE attribute to this value.\n\n**Units**: Samples/s\n\n**Default Value**: None\n' }, 'name': 'sampleRate', 'type': 'ViReal64' } ], 'returns': 'ViStatus' }, 'ConfigureSoftwareEdgeScriptTrigger': { 'codegen_method': 'no', 'documentation': { 'description': 'Configures the specified Script Trigger for software edge triggering.' }, 'parameters': [ { 'direction': 'in', 'documentation': { 'description': '\nIdentifies your instrument session. **vi** is obtained from the\nniFgen_init, nifgen_InitWithOptions, or nifgen_InitializeWithChannels\nfunctions and identifies a particular instrument session.\n' }, 'name': 'vi', 'type': 'ViSession' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the Script Trigger used for triggering.\n\n**Defined Values**\n\n**Default Value**: "ScriptTrigger0"\n', 'table_body': [ [ '"ScriptTrigger0"', 'Script Trigger 0' ], [ '"ScriptTrigger1"', 'Script Trigger 1' ], [ '"ScriptTrigger2"', 'Script Trigger 2' ], [ '"ScriptTrigger3"', 'Script Trigger 3' ] ] }, 'name': 'triggerId', 'type': 'ViConstString' } ], 'returns': 'ViStatus' }, 'ConfigureSoftwareEdgeStartTrigger': { 'codegen_method': 'no', 'documentation': { 'description': 'Configures the Start Trigger for software edge triggering.' }, 'parameters': [ { 'direction': 'in', 'documentation': { 'description': '\nIdentifies your instrument session. **vi** is obtained from the\nniFgen_init, nifgen_InitWithOptions, or nifgen_InitializeWithChannels\nfunctions and identifies a particular instrument session.\n' }, 'name': 'vi', 'type': 'ViSession' } ], 'returns': 'ViStatus' }, 'ConfigureStandardWaveform': { 'codegen_method': 'public', 'documentation': { 'description': '\nConfigures the following attributes of the signal generator that affect\nstandard waveform generation:\n\n- NIFGEN_ATTR_FUNC_WAVEFORM\n- NIFGEN_ATTR_FUNC_AMPLITUDE\n- NIFGEN_ATTR_FUNC_DC_OFFSET\n- NIFGEN_ATTR_FUNC_FREQUENCY\n- NIFGEN_ATTR_FUNC_START_PHASE\n', 'note': '\nYou must call the niFgen_ConfigureOutputMode function with the\n**outputMode** parameter set to NIFGEN_VAL_OUTPUT_FUNC before calling\nthis function.\n' }, 'parameters': [ { 'direction': 'in', 'documentation': { 'description': '\nIdentifies your instrument session. **vi** is obtained from the\nniFgen_init, nifgen_InitWithOptions, or nifgen_InitializeWithChannels\nfunctions and identifies a particular instrument session.\n' }, 'name': 'vi', 'type': 'ViSession' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the channel name for which you want to configure a standard\nwaveform.\n\n**Default Value**: "0"\n' }, 'name': 'channelName', 'type': 'ViConstString' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the standard waveform that you want the signal generator to\nproduce. NI-FGEN sets the NIFGEN_ATTR_FUNC_WAVEFORM attribute to this\nvalue.\n\n****Defined Values****\n\n**Default Value**: NIFGEN_VAL_WFM_SINE\n', 'table_body': [ [ 'NIFGEN_VAL_WFM_SINE', 'Specifies that the signal generator produces a sinusoid waveform.' ], [ 'NIFGEN_VAL_WFM_SQUARE', 'Specifies that the signal generator produces a square waveform.' ], [ 'NIFGEN_VAL_WFM_TRIANGLE', 'Specifies that the signal generator produces a triangle waveform.' ], [ 'NIFGEN_VAL_WFM_RAMP_UP', 'Specifies that the signal generator produces a positive ramp waveform.' ], [ 'NIFGEN_VAL_WFM_RAMP_DOWN', 'Specifies that the signal generator produces a negative ramp waveform.' ], [ 'NIFGEN_VAL_WFM_DC', 'Specifies that the signal generator produces a constant voltage.' ], [ 'NIFGEN_VAL_WFM_NOISE', 'Specifies that the signal generator produces white noise.' ], [ 'NIFGEN_VAL_WFM_USER', 'Specifies that the signal generator produces a user-defined waveform as defined with the nifgen_DefineUserStandardWaveform function.' ] ] }, 'enum': 'Waveform', 'name': 'waveform', 'type': 'ViInt32' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the amplitude of the standard waveform that you want the\nsignal generator to produce. This value is the amplitude at the output\nterminal. NI-FGEN sets the NIFGEN_ATTR_FUNC_AMPLITUDE attribute to\nthis value.\n\nFor example, to produce a waveform ranging from –5.00 V to +5.00 V, set\nthe amplitude to 10.00 V.\n\n**Units**: peak-to-peak voltage\n\n**Default Value**: None\n', 'note': '\nThis parameter does not affect signal generator behavior when you set\nthe **waveform** parameter of the niFgen_ConfigureStandardWaveform\nfunction to NIFGEN_VAL_WFM_DC.\n' }, 'name': 'amplitude', 'type': 'ViReal64' }, { 'default_value': 0.0, 'direction': 'in', 'documentation': { 'description': '\nSpecifies the DC offset of the standard waveform that you want the\nsignal generator to produce. The value is the offset from ground to the\ncenter of the waveform you specify with the **waveform** parameter,\nobserved at the output terminal. For example, to configure a waveform\nwith an amplitude of 10.00 V to range from 0.00 V to +10.00 V, set the\n**dcOffset** to 5.00 V. NI-FGEN sets the NIFGEN_ATTR_FUNC_DC_OFFSET\nattribute to this value.\n\n**Units**: volts\n\n**Default Value**: None\n' }, 'name': 'dcOffset', 'type': 'ViReal64' }, { 'direction': 'in', 'documentation': { 'description': '\n| Specifies the frequency of the standard waveform that you want the\n signal generator to produce. NI-FGEN sets the\n NIFGEN_ATTR_FUNC_FREQUENCY attribute to this value.\n\n**Units**: hertz\n\n**Default Value**: None\n', 'note': '\nThis parameter does not affect signal generator behavior when you set\nthe **waveform** parameter of the niFgen_ConfigureStandardWaveform\nfunction to NIFGEN_VAL_WFM_DC.\n' }, 'name': 'frequency', 'type': 'ViReal64' }, { 'default_value': 0.0, 'direction': 'in', 'documentation': { 'description': '\nSpecifies the horizontal offset of the standard waveform that you want\nthe signal generator to produce. Specify this parameter in degrees of\none waveform cycle. NI-FGEN sets the NIFGEN_ATTR_FUNC_START_PHASE\nattribute to this value. A start phase of 180 degrees means output\ngeneration begins halfway through the waveform. A start phase of 360\ndegrees offsets the output by an entire waveform cycle, which is\nidentical to a start phase of 0 degrees.\n\n**Units**: degrees of one cycle\n\n**Default Value**: 0.00\n', 'note': '\nThis parameter does not affect signal generator behavior when you set\nthe **waveform** parameter to NIFGEN_VAL_WFM_DC.\n' }, 'name': 'startPhase', 'type': 'ViReal64' } ], 'returns': 'ViStatus' }, 'ConfigureSynchronization': { 'codegen_method': 'no', 'documentation': { 'description': '\nSets the signal generator to receive a synchronization signal to\nsynchronize two or more NI 5401/5411/5431 signal generators. One signal\ngenerator should route a SYNC signal to a RTSI line by calling the\nnifgen_ExportSignal function (use the nifgen_RouteSignalOut function\nfor the NI 5404), and other signal generators should receive the signal\nby calling the niFgen_ConfigureSynchronization function.\n', 'note': '\nThe signal generator must not be in the Generating state when you call\nthis function.\nOnly the NI 5401/5411/5431 signal generators require this function to be\ncalled for proper synchronization.\n' }, 'parameters': [ { 'direction': 'in', 'documentation': { 'description': '\nIdentifies your instrument session. **vi** is obtained from the\nniFgen_init, nifgen_InitWithOptions, or nifgen_InitializeWithChannels\nfunctions and identifies a particular instrument session.\n' }, 'name': 'vi', 'type': 'ViSession' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the channel name for which you want to configure the\nsynchronization signal.\n\n**Default Value**: "0"\n' }, 'name': 'channelName', 'type': 'ViConstString' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecify the source of the synchronization signal you want to use.\n\n****Defined Values****\n\n**Default Value**: NIFGEN_VAL_NONE\n', 'table_body': [ [ 'NIFGEN_VAL_NONE', 'Specifies that no synchronization source is used.' ], [ 'NIFGEN_VAL_RTSI_0', 'Specifies that RTSI 0 or PXI_Trig 0 is used as the synchronization source.' ], [ 'NIFGEN_VAL_RTSI_1', 'Specifies that RTSI 1 or PXI_Trig 1 is used as the synchronization source.' ], [ 'NIFGEN_VAL_RTSI_2', 'Specifies that RTSI 2 or PXI_Trig 2 is used as the synchronization source.' ], [ 'NIFGEN_VAL_RTSI_3', 'Specifies that RTSI 3 or PXI_Trig 3 is used as the synchronization source.' ], [ 'NIFGEN_VAL_RTSI_4', 'Specifies that RTSI 4 or PXI_Trig 4 is used as the synchronization source.' ], [ 'NIFGEN_VAL_RTSI_5', 'Specifies that RTSI 5 or PXI_Trig 5 is used as the synchronization source.' ], [ 'NIFGEN_VAL_RTSI_6', 'Specifies that RTSI 6 or PXI_Trig 6 is used as the synchronization source.' ], [ 'NIFGEN_VAL_TTL0', 'Specifies that TTL 0 is used as the synchronization source.' ], [ 'NIFGEN_VAL_TTL1', 'Specifies that TTL 1 is used as the synchronization source.' ], [ 'NIFGEN_VAL_TTL2', 'Specifies that TTL 2 is used as the synchronization source.' ], [ 'NIFGEN_VAL_TTL3', 'Specifies that TTL 3 is used as the synchronization source.' ], [ 'NIFGEN_VAL_TTL4', 'Specifies that TTL 4 is used as the synchronization source.' ], [ 'NIFGEN_VAL_TTL5', 'Specifies that TTL 5 is used as the synchronization source.' ], [ 'NIFGEN_VAL_TTL6', 'Specifies that TTL 6 is used as the synchronization source.' ] ] }, 'name': 'synchronizationSource', 'type': 'ViInt32' } ], 'returns': 'ViStatus' }, 'ConfigureTriggerMode': { 'codegen_method': 'no', 'documentation': { 'description': '\nSets the trigger mode for your device. Refer to the *Trigger Modes*\ntopic for your device in the *NI Signal Generators Help* for\ndescriptions of the specific behavior for supported trigger modes.\n', 'note': '\nThe signal generator must not be in the Generating state when you call\nthis function.\nIn Frequency List output mode, Stepped trigger mode is the same as Burst\ntrigger mode.\n' }, 'parameters': [ { 'direction': 'in', 'documentation': { 'description': '\nIdentifies your instrument session. **vi** is obtained from the\nniFgen_init, nifgen_InitWithOptions, or nifgen_InitializeWithChannels\nfunctions and identifies a particular instrument session.\n' }, 'name': 'vi', 'type': 'ViSession' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the channel name for which you want to configure the trigger\nmode.\n\n**Default Value**: "0"\n' }, 'name': 'channelName', 'type': 'ViConstString' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the trigger mode.\n\n****Defined Values****\n\n**Default Value**: NIFGEN_VAL_CONTINUOUS\n', 'table_body': [ [ 'NIFGEN_VAL_SINGLE', 'The waveform that you describe in the sequence list generates only once by going through the entire staging list. Only one trigger is required to start the waveform generation. You can use Single trigger mode in any output mode. After a trigger is received, the waveform generation starts from the first stage and continues through to the last stage.' ], [ 'NIFGEN_VAL_CONTINUOUS', 'The waveform that you describe in the staging list generates infinitely by repeatedly cycling through the staging list. After a trigger is received, the waveform generation starts from the first stage and continues through to the last stage. After the last stage is completed, the waveform generation loops back to the start of the first stage and continues until it is stopped. Only one trigger is required to start the waveform generation.' ], [ 'NIFGEN_VAL_STEPPED', 'After a Start Trigger is received, the waveform described by the first stage generates. Then, the device waits for the next trigger signal. On the next trigger, the waveform described by the second stage generates, and so on. After the staging list is exhausted, the waveform generation returns to the first stage and continues to repeat the cycle.' ], [ 'NIFGEN_VAL_BURST', 'After a Start Trigger is received, the waveform described by the first stage generates until another trigger is received. At the next trigger, the buffer of the previous stage completes, then the waveform described by the second stage generates. After the staging list is exhausted, the waveform generation returns to the first stage and continues to repeat the cycle. In Frequency List mode, the duration instruction is ignored, and the trigger switches the frequency to the next frequency in the list.' ] ] }, 'name': 'triggerMode', 'type': 'ViInt32' } ], 'returns': 'ViStatus' }, 'ConfigureTriggerSource': { 'codegen_method': 'no', 'documentation': { 'description': '\nConfigures the trigger source. The signal generator responds to a\ntrigger depending on the operation mode in which the signal generator is\noperating.\n', 'note': '\nThe signal generator must not be in the Generating state when you\ncall this function.\n' }, 'parameters': [ { 'direction': 'in', 'documentation': { 'description': '\nIdentifies your instrument session. **vi** is obtained from the\nniFgen_init, nifgen_InitWithOptions, or nifgen_InitializeWithChannels\nfunctions and identifies a particular instrument session.\n' }, 'name': 'vi', 'type': 'ViSession' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the channel name for which you want to configure the trigger\nsource.\n\n**Defined Value:**"0"\n' }, 'name': 'channelName', 'type': 'ViConstString' }, { 'direction': 'in', 'documentation': { 'description': '\nControls which trigger source the signal generator uses.\n\n****Defined Values****\n\n**Default Value**: NIFGEN_VAL_IMMEDIATE\n', 'table_body': [ [ 'NIFGEN_VAL_IMMEDIATE', 'Immediate' ], [ 'NIFGEN_VAL_EXTERNAL', 'External (maps to PFI 0)' ], [ 'NIFGEN_VAL_SOFTWARE_TRIG', 'Software trigger' ], [ 'NIFGEN_VAL_PXI_STAR', 'PXI star' ], [ 'NIFGEN_VAL_RTSI_0', 'RTSI 0 or PXI_Trig 0' ], [ 'NIFGEN_VAL_RTSI_1', 'RTSI 1 or PXI_Trig 1' ], [ 'NIFGEN_VAL_RTSI_2', 'RTSI 2 or PXI_Trig 2' ], [ 'NIFGEN_VAL_RTSI_3', 'RTSI 3 or PXI_Trig 3' ], [ 'NIFGEN_VAL_RTSI_4', 'RTSI 4 or PXI_Trig 4' ], [ 'NIFGEN_VAL_RTSI_5', 'RTSI 5 or PXI_Trig 5' ], [ 'NIFGEN_VAL_RTSI_6', 'RTSI 6 or PXI_Trig 6' ], [ 'NIFGEN_VAL_RTSI_7', 'RTSI 7 or PXI_Trig 7' ], [ 'NIFGEN_VAL_TTL0', 'TTL 0' ], [ 'NIFGEN_VAL_TTL1', 'TTL 1' ], [ 'NIFGEN_VAL_TTL2', 'TTL 2' ], [ 'NIFGEN_VAL_TTL3', 'TTL 3' ], [ 'NIFGEN_VAL_TTL4', 'TTL 4' ], [ 'NIFGEN_VAL_TTL5', 'TTL 5' ], [ 'NIFGEN_VAL_TTL6', 'TTL 6' ], [ 'NIFGEN_VAL_PFI_0', 'PFI 0' ], [ 'NIFGEN_VAL_PFI_1', 'PFI 1' ], [ 'NIFGEN_VAL_PFI_2', 'PFI 2' ], [ 'NIFGEN_VAL_PFI_3', 'PFI 3' ] ] }, 'name': 'triggerSource', 'type': 'ViInt32' } ], 'returns': 'ViStatus' }, 'ConfigureUpdateClockSource': { 'codegen_method': 'no', 'documentation': { 'description': '\nSets the source of the update clock of the signal generator. The source\ncan be internal or external.\n' }, 'parameters': [ { 'direction': 'in', 'documentation': { 'description': '\nIdentifies your instrument session. **vi** is obtained from the\nniFgen_init, nifgen_InitWithOptions, or nifgen_InitializeWithChannels\nfunctions and identifies a particular instrument session.\n' }, 'name': 'vi', 'type': 'ViSession' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the update clock source.\n\n****Defined Values****\n\n**Default Value**: NIFGEN_VAL_INTERNAL\n', 'table_body': [ [ 'NIFGEN_VAL_INTERNAL', 'Internal clock source' ], [ 'NIFGEN_VAL_EXTERNAL', 'External clock source' ], [ 'NIFGEN_VAL_PXI_STAR', 'PXI star' ], [ 'NIFGEN_VAL_RTSI_0', 'RTSI 0 or PXI_Trig 0' ], [ 'NIFGEN_VAL_RTSI_1', 'RTSI 1 or PXI_Trig 1' ], [ 'NIFGEN_VAL_RTSI_2', 'RTSI 2 or PXI_Trig 2' ], [ 'NIFGEN_VAL_RTSI_3', 'RTSI 3 or PXI_Trig 3' ], [ 'NIFGEN_VAL_RTSI_4', 'RTSI 4 or PXI_Trig 4' ], [ 'NIFGEN_VAL_RTSI_5', 'RTSI 5 or PXI_Trig 5' ], [ 'NIFGEN_VAL_RTSI_6', 'RTSI 6 or PXI_Trig 6' ], [ 'NIFGEN_VAL_RTSI_7', 'RTSI 7 or PXI_Trig 7' ], [ 'NIFGEN_VAL_CLK_IN', 'CLK IN front panel connector' ], [ 'NIFGEN_VAL_DDC_CLK_IN', 'Digital Data & Control clock in' ] ] }, 'name': 'updateClockSource', 'type': 'ViInt32' } ], 'returns': 'ViStatus' }, 'CreateAdvancedArbSequence': { 'documentation': { 'description': '\nCreates an arbitrary sequence from an array of waveform handles and an\narray of corresponding loop counts. This function returns a handle that\nidentifies the sequence. You pass this handle to the\nniFgen_ConfigureArbSequence function to specify what arbitrary sequence\nyou want the signal generator to produce.\n\nThe niFgen_CreateAdvancedArbSequence function extends on the\nniFgen_CreateArbSequence function by adding the ability to set the\nnumber of samples in each sequence step and to set marker locations.\n\nAn arbitrary sequence consists of multiple waveforms. For each waveform,\nyou specify the number of times the signal generator produces the\nwaveform before proceeding to the next waveform. The number of times to\nrepeat a specific waveform is called the loop count.\n', 'note': '\nThe signal generator must not be in the Generating state when you call\nthis function.\nYou must call the nifgen_ConfigureOutputMode function to set the\n**outputMode** parameter to NIFGEN_VAL_OUTPUT_SEQ before calling this\nfunction.\n' }, 'parameters': [ { 'direction': 'in', 'documentation': { 'description': '\nIdentifies your instrument session. **vi** is obtained from the\nniFgen_init, nifgen_InitWithOptions, or nifgen_InitializeWithChannels\nfunctions and identifies a particular instrument session.\n' }, 'name': 'vi', 'type': 'ViSession' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the number of waveforms in the new arbitrary sequence that you\nwant to create. The value you pass must be between the minimum and\nmaximum sequence lengths that the signal generator allows. You can\nobtain the minimum and maximum sequence lengths from\n**minimumSequenceLength** and **maximumSequenceLength** in the\nnifgen_QueryArbSeqCapabilities function.\n\n**Default Value**: None\n' }, 'name': 'sequenceLength', 'type': 'ViInt32' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the array of waveform handles from which you want to create a\nnew arbitrary sequence. The array must have at least as many elements as\nthe value that you specify in **sequenceLength**. Each\n**waveformHandlesArray** element has a corresponding **loopCountsArray**\nelement that indicates how many times that waveform is repeated. You\nobtain waveform handles when you create arbitrary waveforms with the\nnifgen_AllocateWaveform function or one of the following niFgen\nCreateWaveform functions:\n\n- nifgen_CreateWaveformF64\n- nifgen_CreateWaveformI16\n- nifgen_CreateWaveformFromFileI16\n- nifgen_CreateWaveformFromFileF64\n- nifgen_CreateWaveformFromFileHWS\n\n**Default Value**: None\n' }, 'name': 'waveformHandlesArray', 'size': { 'mechanism': 'len', 'value': 'sequenceLength' }, 'type': 'ViInt32[]' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the array of loop counts you want to use to create a new\narbitrary sequence. The array must have at least as many elements as the\nvalue that you specify in the **sequenceLength** parameter. Each\n**loopCountsArray** element corresponds to a **waveformHandlesArray**\nelement and indicates how many times to repeat that waveform. Each\nelement of the **loopCountsArray** must be less than or equal to the\nmaximum number of loop counts that the signal generator allows. You can\nobtain the maximum loop count from **maximumLoopCount** in the\nnifgen_QueryArbSeqCapabilities function.\n\n**Default Value**: None\n' }, 'name': 'loopCountsArray', 'size': { 'mechanism': 'len', 'value': 'sequenceLength' }, 'type': 'ViInt32[]' }, { 'default_value': None, 'direction': 'in', 'documentation': { 'description': '\nSpecifies the array of sample counts that you want to use to create a\nnew arbitrary sequence. The array must have at least as many elements as\nthe value you specify in the **sequenceLength** parameter. Each\n**sampleCountsArray** element corresponds to a **waveformHandlesArray**\nelement and indicates the subset, in samples, of the given waveform to\ngenerate. Each element of the **sampleCountsArray** must be larger than\nthe minimum waveform size, a multiple of the waveform quantum and no\nlarger than the number of samples in the corresponding waveform. You can\nobtain these values by calling the nifgen_QueryArbWfmCapabilities\nfunction.\n\n**Default Value**: None\n' }, 'name': 'sampleCountsArray', 'size': { 'mechanism': 'len', 'value': 'sequenceLength' }, 'type': 'ViInt32[]' }, { 'default_value': None, 'direction': 'in', 'documentation': { 'description': '\nSpecifies the array of marker locations to where you want a marker to be\ngenerated in the sequence. The array must have at least as many elements\nas the value you specify in the **sequenceLength** parameter. Each\n**markerLocationArray** element corresponds to a\n**waveformHandlesArray** element and indicates where in the waveform a\nmarker is to generate. The marker location must be less than the size of\nthe waveform the marker is in. The markers are coerced to the nearest\nmarker quantum and the coerced values are returned in the\n**coercedMarkersArray** parameter.\n\nIf you do not want a marker generated for a particular sequence stage,\nset this parameter to NIFGEN_VAL_NO_MARKER.\n\n**Defined Value**: NIFGEN_VAL_NO_MARKER\n\n**Default Value**: None\n' }, 'name': 'markerLocationArray', 'size': { 'mechanism': 'len', 'value': 'sequenceLength' }, 'type': 'ViInt32[]' }, { 'direction': 'out', 'documentation': { 'description': '\nReturns an array of all given markers that are coerced (rounded) to the\nnearest marker quantum. Not all devices coerce markers.\n\n**Default Value**: None\n' }, 'name': 'coercedMarkersArray', 'size': { 'mechanism': 'python-code', 'value': '(0 if marker_location_array is None else len(marker_location_array))' }, 'type': 'ViInt32[]' }, { 'direction': 'out', 'documentation': { 'description': '\nReturns the handle that identifies the new arbitrary sequence. You can\npass this handle to nifgen_ConfigureArbSequence to generate the\narbitrary sequence.\n' }, 'name': 'sequenceHandle', 'type': 'ViInt32' } ], 'returns': 'ViStatus' }, 'CreateArbSequence': { 'documentation': { 'description': '\nCreates an arbitrary sequence from an array of waveform handles and an\narray of corresponding loop counts. This function returns a handle that\nidentifies the sequence. You pass this handle to the\nnifgen_ConfigureArbSequence function to specify what arbitrary sequence\nyou want the signal generator to produce.\n\nAn arbitrary sequence consists of multiple waveforms. For each waveform,\nyou can specify the number of times that the signal generator produces\nthe waveform before proceeding to the next waveform. The number of times\nto repeat a specific waveform is called the loop count.\n', 'note': '\nYou must call the nifgen_ConfigureOutputMode function to set the\n**outputMode** parameter to NIFGEN_VAL_OUTPUT_SEQ before calling this\nfunction.\n' }, 'parameters': [ { 'direction': 'in', 'documentation': { 'description': '\nIdentifies your instrument session. **vi** is obtained from the\nniFgen_init, nifgen_InitWithOptions, or nifgen_InitializeWithChannels\nfunctions and identifies a particular instrument session.\n' }, 'name': 'vi', 'type': 'ViSession' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the number of waveforms in the new arbitrary sequence that you\nwant to create. The value you pass must be between the minimum and\nmaximum sequence lengths that the signal generator allows. You can\nobtain the minimum and maximum sequence lengths from\n**minimumSequenceLength** and **maximumSequenceLength** in the\nnifgen_QueryArbSeqCapabilities function.\n\n**Default Value**: None\n' }, 'name': 'sequenceLength', 'type': 'ViInt32' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the array of waveform handles from which you want to create a\nnew arbitrary sequence. The array must have at least as many elements as\nthe value that you specify in **sequenceLength**. Each\n**waveformHandlesArray** element has a corresponding **loopCountsArray**\nelement that indicates how many times that waveform is repeated. You\nobtain waveform handles when you create arbitrary waveforms with the\nnifgen_AllocateWaveform function or one of the following niFgen\nCreateWaveform functions:\n\n- nifgen_CreateWaveformF64\n- nifgen_CreateWaveformI16\n- nifgen_CreateWaveformFromFileI16\n- nifgen_CreateWaveformFromFileF64\n- nifgen_CreateWaveformFromFileHWS\n\n**Default Value**: None\n' }, 'name': 'waveformHandlesArray', 'size': { 'mechanism': 'len', 'value': 'sequenceLength' }, 'type': 'ViInt32[]' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the array of loop counts you want to use to create a new\narbitrary sequence. The array must have at least as many elements as the\nvalue that you specify in the **sequenceLength** parameter. Each\n**loopCountsArray** element corresponds to a **waveformHandlesArray**\nelement and indicates how many times to repeat that waveform. Each\nelement of the **loopCountsArray** must be less than or equal to the\nmaximum number of loop counts that the signal generator allows. You can\nobtain the maximum loop count from **maximumLoopCount** in the\nnifgen_QueryArbSeqCapabilities function.\n\n**Default Value**: None\n' }, 'name': 'loopCountsArray', 'size': { 'mechanism': 'len', 'value': 'sequenceLength' }, 'type': 'ViInt32[]' }, { 'direction': 'out', 'documentation': { 'description': '\nReturns the handle that identifies the new arbitrary sequence. You can\npass this handle to nifgen_ConfigureArbSequence to generate the\narbitrary sequence.\n' }, 'name': 'sequenceHandle', 'type': 'ViInt32' } ], 'returns': 'ViStatus' }, 'CreateArbWaveform': { 'codegen_method': 'no', 'documentation': { 'description': '\n[OBSOLETE] This function is obsolete. Use the nifgen_CreateWaveformF64,\nnifgen_CreateWaveformI16, or nifgen_CreateWaveformComplexF64 function\ninstead of this function.\n\nCreates an arbitrary waveform and returns a handle that identifies that\nwaveform. You can pass this handle to the nifgen_ConfigureArbWaveform\nfunction to produce that waveform. You can also use the handles this\nfunction returns to specify a sequence of arbitrary waveforms with the\nnifgen_CreateArbSequence function.\n', 'note': '\nYou must scale the data between –1.00 and +1.00. Use the **arbGain**\nparameter to generate different output voltages.\n' }, 'parameters': [ { 'direction': 'in', 'documentation': { 'description': '\nIdentifies your instrument session. **vi** is obtained from the\nniFgen_init, nifgen_InitWithOptions, or nifgen_InitializeWithChannels\nfunctions and identifies a particular instrument session.\n' }, 'name': 'vi', 'type': 'ViSession' }, { 'direction': 'in', 'documentation': { 'description': '\n| Specifies the size of the arbitrary waveform that you want created.\n| The size must meet the following restrictions:\n\n- The size must be less than or equal to the maximum waveform size that\n the device allows.\n- The size must be greater than or equal to the minimum waveform size\n that the device allows.\n- The size must be an integer multiple of the device waveform quantum.\n\n| \n| You can obtain these values from the **maximumWaveformSize**,\n **minimumWaveformSize**, and **waveformQuantum** parameters in the\n nifgen_QueryArbWfmCapabilities function.\n| ****Default Value**:** None\n' }, 'name': 'waveformSize', 'type': 'ViInt32' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the array of data you want to use for the new arbitrary\nwaveform. The array must have at least as many elements as the value\nthat you specify in **waveformSize**.\n\nYou must normalize the data points in the array to be between –1.00 and\n+1.00.\n\n**Default Value**: None\n' }, 'name': 'waveformDataArray', 'type': 'ViReal64' }, { 'direction': 'out', 'documentation': { 'description': '\nThe handle that identifies the new waveform. This handle is used later\nwhen referring to this waveform.\n' }, 'name': 'waveformHandle', 'type': 'ViInt32' } ], 'returns': 'ViStatus' }, 'CreateBinary16ArbWaveform': { 'codegen_method': 'no', 'documentation': { 'description': '\n[OBSOLETE] This function is obsolete. Use the nifgen_CreateWaveformI16\nfunction instead of this function.\n\nCreates an arbitrary waveform from binary data and returns a handle that\nidentifies that waveform. You can pass this handle to the\nnifgen_ConfigureArbWaveform function to produce that waveform. You can\nalso use the handles this function returns to specify a sequence of\narbitrary waveforms with the nifgen_CreateArbSequence function.\n', 'note': '\nYou must set the output mode to NIFGEN_VAL_OUTPUT_ARB or\nNIFGEN_VAL_OUTPUT_SEQ before calling this function.\n' }, 'parameters': [ { 'direction': 'in', 'documentation': { 'description': '\nIdentifies your instrument session. **vi** is obtained from the\nniFgen_init, nifgen_InitWithOptions, or nifgen_InitializeWithChannels\nfunctions and identifies a particular instrument session.\n' }, 'name': 'vi', 'type': 'ViSession' }, { 'direction': 'in', 'documentation': { 'description': '\n| Specifies the size of the arbitrary waveform that you want created.\n| The size must meet the following restrictions:\n\n- The size must be less than or equal to the maximum waveform size that\n the device allows.\n- The size must be greater than or equal to the minimum waveform size\n that the device allows.\n- The size must be an integer multiple of the device waveform quantum.\n\n| \n| You can obtain these values from the **maximumWaveformSize**,\n **minimumWaveformSize**, and **waveformQuantum** parameters in\n nifgen_QueryArbWfmCapabilities.\n| ****Default Value**:** None\n' }, 'name': 'waveformSize', 'type': 'ViInt32' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the array of data you want to use for the new arbitrary\nwaveform. The array must have at least as many elements as the value\nthat you specify in **waveformSize**.\n\nYou must normalize the data points in the array to be between –32768 and\n32767.\n\n**Default Value**: None\n' }, 'name': 'waveformDataArray', 'type': 'ViInt16' }, { 'direction': 'out', 'documentation': { 'description': '\nThe handle that identifies the new waveform. This handle is used later\nwhen referring to this waveform.\n' }, 'name': 'waveformHandle', 'type': 'ViInt32' } ], 'returns': 'ViStatus' }, 'CreateFreqList': { 'documentation': { 'description': '\nCreates a frequency list from an array of frequencies\n(**frequencyArray**) and an array of durations (**durationArray**). The\ntwo arrays should have the same number of elements, and this value must\nalso be the size of the **frequencyListLength**. The function returns a\nhandle that identifies the frequency list (the **frequencyListHandle**).\nYou can pass this handle to nifgen_ConfigureFreqList to specify what\nfrequency list you want the signal generator to produce.\n\nA frequency list consists of a list of frequencies and durations. The\nsignal generator generates each frequency for the given amount of time\nand then proceeds to the next frequency. When the end of the list is\nreached, the signal generator starts over at the beginning of the list.\n', 'note': '\nThe signal generator must not be in the Generating state when you call\nthis function.\n' }, 'parameters': [ { 'direction': 'in', 'documentation': { 'description': '\nIdentifies your instrument session. **vi** is obtained from the\nniFgen_init, nifgen_InitWithOptions, or nifgen_InitializeWithChannels\nfunctions and identifies a particular instrument session.\n' }, 'name': 'vi', 'type': 'ViSession' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the standard waveform that you want the signal generator to\nproduce. NI-FGEN sets the NIFGEN_ATTR_FUNC_WAVEFORM attribute to this\nvalue.\n\n****Defined Values****\n\n**Default Value**: NIFGEN_VAL_WFM_SINE\n', 'table_body': [ [ 'NIFGEN_VAL_WFM_SINE', 'Specifies that the signal generator produces a sinusoid waveform.' ], [ 'NIFGEN_VAL_WFM_SQUARE', 'Specifies that the signal generator produces a square waveform.' ], [ 'NIFGEN_VAL_WFM_TRIANGLE', 'Specifies that the signal generator produces a triangle waveform.' ], [ 'NIFGEN_VAL_WFM_RAMP_UP', 'Specifies that the signal generator produces a positive ramp waveform.' ], [ 'NIFGEN_VAL_WFM_RAMP_DOWN', 'Specifies that the signal generator produces a negative ramp waveform.' ], [ 'NIFGEN_VAL_WFM_DC', 'Specifies that the signal generator produces a constant voltage.' ], [ 'NIFGEN_VAL_WFM_NOISE', 'Specifies that the signal generator produces white noise.' ], [ 'NIFGEN_VAL_WFM_USER', 'Specifies that the signal generator produces a user-defined waveform as defined with the nifgen_DefineUserStandardWaveform function.' ] ] }, 'enum': 'Waveform', 'name': 'waveform', 'type': 'ViInt32' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the number of steps in the frequency list you want to create.\nThe value must be between the minimum and maximum frequency list lengths\nthat the signal generator allows. You can obtain the minimum and maximum\nfrequency list lengths from the **minimumFrequencyListLength** and\n**maximumFrequencyListLength** parameters in the\nnifgen_QueryFreqListCapabilities function.\n\n**frequency** and **duration** must each be at least as long as this\nfrequency list length.\n\n**Default Value**: None\n' }, 'name': 'frequencyListLength', 'type': 'ViInt32' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the array of frequencies to form the frequency list. The array\nmust have at least as many elements as the value you specify in\n**frequencyListLength**. Each **frequencyArray** element has a\ncorresponding **durationArray** element that indicates how long that\nfrequency is repeated.\n\n**Units**: hertz\n\n**Default Value**: None\n' }, 'name': 'frequencyArray', 'size': { 'mechanism': 'len', 'value': 'frequencyListLength' }, 'type': 'ViReal64[]' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the array of durations to form the frequency list. The array\nmust have at least as many elements as the value that you specify in\n**frequencyListLength**. Each **durationArray** element has a\ncorresponding **frequencyArray** element and indicates how long in\nseconds to generate the corresponding frequency.\n\n**Units**: seconds\n\n**Default Value**: None\n' }, 'name': 'durationArray', 'size': { 'mechanism': 'len', 'value': 'frequencyListLength' }, 'type': 'ViReal64[]' }, { 'direction': 'out', 'documentation': { 'description': '\nReturns the handle that identifies the new frequency list. You can pass\nthis handle to nifgen_ConfigureFreqList to generate the arbitrary\nsequence.\n' }, 'name': 'frequencyListHandle', 'type': 'ViInt32' } ], 'returns': 'ViStatus' }, 'CreateWaveformComplexF64': { 'codegen_method': 'no', 'documentation': { 'description': '\nCreates an onboard waveform from complex double-precision floating-point\n(F64) data for use with the NIFGEN_ATTR_OUTPUT_MODE attribute set to\nArbitrary Waveform or Arbitrary Sequence output mode on devices with the\nNIFGEN_ATTR_OUTPUT_ENABLED attribute set to VI_TRUE and the\nNIFGEN_ATTR_OSP_DATA_PROCESSING_MODE attribute set to\nNIFGEN_VAL_OSP_COMPLEX. The **waveformHandle** returned by the\nfunction can be used later for setting the active waveform, changing the\ndata in the waveform, building sequences of waveforms, or deleting the\nwaveform when it is no longer needed.\n', 'note': '\nYou must call the nifgen_ConfigureOutputMode function to set the\n**outputMode** parameter to NIFGEN_VAL_OUTPUT_ARB or\nNIFGEN_VAL_OUTPUT_SEQ before calling this function.\n' }, 'parameters': [ { 'direction': 'in', 'documentation': { 'description': '\nIdentifies your instrument session. **vi** is obtained from the\nniFgen_init, nifgen_InitWithOptions, or nifgen_InitializeWithChannels\nfunctions and identifies a particular instrument session.\n' }, 'name': 'vi', 'type': 'ViSession' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the channel name for which you want to create the waveform.\n\n**Default Value**: "0"\n' }, 'name': 'channelName', 'type': 'ViConstString' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the size of the arbitrary waveform that you want to create.\n\nThe size must meet the following restrictions:\n\n- The size must be less than or equal to the maximum waveform size that\n the device allows.\n- The size must be greater than or equal to the minimum waveform size\n that the device allows.\n- The size must be an integer multiple of the device waveform quantum.\n\nYou can obtain these values from the **maximumWaveformSize**,\n**minimumWaveformSize**, and **waveformQuantum** parameters of the\nniFgen_QueryArbWfmCapabilities function.\n\n| \n| **Default Value**: None\n' }, 'name': 'numberOfSamples', 'type': 'ViInt32' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the array of data you want to use for the new arbitrary\nwaveform. The array must have at least as many elements as the value\nthat you specify in **waveformSize**.\n\nYou must normalize the data points in the array to be between –1.00 and\n+1.00.\n\n**Default Value**: None\n' }, 'name': 'waveformDataArray', 'type': 'struct NiComplexNumber' }, { 'direction': 'out', 'documentation': { 'description': '\nThe handle that identifies the new waveform. This handle is used later\nwhen referring to this waveform.\n' }, 'name': 'waveformHandle', 'type': 'ViInt32' } ], 'returns': 'ViStatus' }, 'CreateWaveformDispatcher': { 'codegen_method': 'python-only', 'documentation': { 'description': 'Creates an onboard waveform for use in Arbitrary Waveform output mode or Arbitrary Sequence output mode.', 'note': 'You must set NIFGEN_ATTR_OUTPUT_MODE to NIFGEN_VAL_OUTPUT_ARB or NIFGEN_VAL_OUTPUT_SEQ before calling this function.' }, 'method_templates': [ { 'documentation_filename': 'default_method', 'method_python_name_suffix': '_numpy', 'session_filename': 'create_waveform' } ], 'parameters': [ { 'direction': 'in', 'name': 'vi', 'type': 'ViSession' }, { 'direction': 'in', 'name': 'channelName', 'type': 'ViString' }, { 'direction': 'in', 'documentation': { 'description': 'Array of data for the new arbitrary waveform. This may be an iterable of float or int16, or for best performance a numpy.ndarray of dtype int16 or float64.' }, 'name': 'waveformDataArray', 'type': 'ViReal64', 'type_in_documentation': 'iterable of float or int16' }, { 'direction': 'out', 'documentation': { 'description': 'The handle that identifies the new waveform. This handle is used in other methods when referring to this waveform.' }, 'name': 'waveformHandle', 'type': 'ViInt32' } ], 'python_name': 'create_waveform', 'returns': 'ViStatus' }, 'CreateWaveformF64': { 'codegen_method': 'private', 'documentation': { 'description': '\nCreates an onboard waveform from binary F64 (floating point double) data\nfor use in Arbitrary Waveform output mode or Arbitrary Sequence output\nmode. The **waveformHandle** returned can later be used for setting the\nactive waveform, changing the data in the waveform, building sequences\nof waveforms, or deleting the waveform when it is no longer needed.\n', 'note': '\nYou must call the nifgen_ConfigureOutputMode function to set the\n**outputMode** parameter to NIFGEN_VAL_OUTPUT_ARB or\nNIFGEN_VAL_OUTPUT_SEQ before calling this function.\n' }, 'method_name_for_documentation': 'create_waveform', 'method_templates': [ { 'method_python_name_suffix': '', 'session_filename': 'default_method' }, { 'method_python_name_suffix': '_numpy', 'session_filename': 'numpy_write_method' } ], 'parameters': [ { 'direction': 'in', 'documentation': { 'description': '\nIdentifies your instrument session. **vi** is obtained from the\nniFgen_init, nifgen_InitWithOptions, or nifgen_InitializeWithChannels\nfunctions and identifies a particular instrument session.\n' }, 'name': 'vi', 'type': 'ViSession' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the channel name for which you want to create the waveform.\n\n**Default Value**: "0"\n' }, 'name': 'channelName', 'type': 'ViConstString' }, { 'direction': 'in', 'documentation': { 'description': '\n| Specifies the size of the arbitrary waveform that you want to create.\n| The size must meet the following restrictions:\n\n- The size must be less than or equal to the maximum waveform size that\n the device allows.\n- The size must be greater than or equal to the minimum waveform size\n that the device allows.\n- The size must be an integer multiple of the device waveform quantum.\n\nYou can obtain these values from the **maximumWaveformSize**,\n**minimumWaveformSize**, and **waveformQuantum** parameters of the\nnifgen_QueryArbWfmCapabilities function.\n\n| ****Default Value**:** None\n' }, 'name': 'waveformSize', 'type': 'ViInt32' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the array of data you want to use for the new arbitrary\nwaveform. The array must have at least as many elements as the value\nthat you specify in **waveformSize**.\n\nYou must normalize the data points in the array to be between –1.00 and\n+1.00.\n\n**Default Value**: None\n' }, 'name': 'waveformDataArray', 'numpy': True, 'size': { 'mechanism': 'len', 'value': 'waveformSize' }, 'type': 'ViReal64[]', 'use_array': True }, { 'direction': 'out', 'documentation': { 'description': '\nThe handle that identifies the new waveform. This handle is used later\nwhen referring to this waveform.\n' }, 'name': 'waveformHandle', 'type': 'ViInt32' } ], 'returns': 'ViStatus' }, 'CreateWaveformFromFileF64': { 'documentation': { 'description': '\nThis function takes the floating point double (F64) data from the\nspecified file and creates an onboard waveform for use in Arbitrary\nWaveform or Arbitrary Sequence output mode. The **waveformHandle**\nreturned by this function can later be used for setting the active\nwaveform, changing the data in the waveform, building sequences of\nwaveforms, or deleting the waveform when it is no longer needed.\n', 'note': '\nThe F64 data must be between –1.0 and +1.0 V. Use the\nNIFGEN_ATTR_DIGITAL_GAIN attribute to generate different voltage\noutputs.\n' }, 'parameters': [ { 'direction': 'in', 'documentation': { 'description': '\nIdentifies your instrument session. **vi** is obtained from the\nniFgen_init, nifgen_InitWithOptions, or nifgen_InitializeWithChannels\nfunctions and identifies a particular instrument session.\n' }, 'name': 'vi', 'type': 'ViSession' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the channel name for which you want to create the waveform.\n\n**Defined Value**: "0"\n\n**Default Value**: "0"\n' }, 'name': 'channelName', 'type': 'ViConstString' }, { 'direction': 'in', 'documentation': { 'description': 'The full path and name of the file where the waveform data resides.' }, 'name': 'fileName', 'type': 'ViConstString' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the byte order of the data in the file.\n\n****Defined Values****\n\n| \n| ****Default Value**:** NIFGEN_VAL_LITTLE_ENDIAN\n', 'note': '\nData written by most applications in Windows (including\nLabWindows™/CVI™) is in Little Endian format. Data written to a file\nfrom LabVIEW is in Big Endian format by default on all platforms. Big\nEndian and Little Endian refer to the way data is stored in memory,\nwhich can differ on different processors.\n', 'table_body': [ [ 'NIFGEN_VAL_LITTLE_ENDIAN', 'Little Endian Data—The least significant bit is stored at the lowest address, followed by the other bits, in order of increasing significance.' ], [ 'NIFGEN_VAL_BIG_ENDIAN', 'Big Endian Data—The most significant bit is stored at the lowest address, followed by the other bits, in order of decreasing significance.' ] ] }, 'enum': 'ByteOrder', 'name': 'byteOrder', 'type': 'ViInt32' }, { 'direction': 'out', 'documentation': { 'description': '\nThe handle that identifies the new waveform. This handle is used later\nwhen referring to this waveform.\n' }, 'name': 'waveformHandle', 'type': 'ViInt32' } ], 'returns': 'ViStatus' }, 'CreateWaveformFromFileHws': { 'codegen_method': 'no', 'documentation': { 'description': '\n| Takes the waveform data from the specified HWS (Hierarchical Waveform\n Storage) file and creates an onboard waveform for use in Arbitrary\n Waveform or Arbitrary Sequence output mode. The **waveformHandle**\n returned by this function can be used later for setting the active\n waveform, changing the data in the waveform, building sequences of\n waveforms, or deleting the waveform when it is no longer needed.\n| When the Analog Waveform Editor saves data in an HWS file, it also\n stores the rate, gain, and offset with the data. If the\n **useRateFromWaveform** and **useGain&OffsetFromWaveform;** parameters\n are set to VI_TRUE, this function also sets those properties.\n\n|\n', 'note': '\nIf you choose to have this function set the gain and offset properties\nfor you, you should **not** use the niFgen_ConfigureArbWaveform or\nniFgen_ConfigureArbSequence functions, as they also set the gain and\noffset, thereby overriding the values set by this function. Instead, use\nthe NIFGEN_ATTR_ARB_WAVEFORM_HANDLE or\nNIFGEN_ATTR_ARB_SEQUENCE_HANDLE attributes.\n' }, 'parameters': [ { 'direction': 'in', 'documentation': { 'description': '\nIdentifies your instrument session. **vi** is obtained from the\nniFgen_init, nifgen_InitWithOptions, or nifgen_InitializeWithChannels\nfunctions and identifies a particular instrument session.\n' }, 'name': 'vi', 'type': 'ViSession' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the channel name for which you want to create the waveform.\n\n**Defined Value**: "0"\n\n**Default Value**: "0"\n' }, 'name': 'channelName', 'type': 'ViConstString' }, { 'direction': 'in', 'documentation': { 'description': 'The full path and name of the file where the waveform data resides.' }, 'name': 'fileName', 'type': 'ViConstString' }, { 'direction': 'in', 'documentation': { 'description': '\n| If you set this parameter input to VI_TRUE and if onboard signal\n processing (OSP) is enabled, the rate from the waveform is interpreted\n as the data rate, and FGEN sets the data rate attribute for you. In\n all other cases, it is interpreted as the sample rate, and FGEN sets\n the sample rate attribute for you.\n\n****Defined Values****\n\n| \n| ****Default Value**:** VI_TRUE\n', 'table_body': [ [ 'VI_TRUE', 'Use rate from waveform.' ], [ 'VI_FALSE', 'Do not use rate from waveform.' ] ] }, 'name': 'useRateFromWaveform', 'type': 'ViBoolean' }, { 'direction': 'in', 'documentation': { 'description': '\n| If this input is set to VI_TRUE, NI-FGEN retrieves the gain and\n offset values from the specified HWS file and applies them to the\n NI-FGEN driver.\n\n****Defined Values****\n\n| \n| ****Default Value**:** VI_TRUE\n', 'table_body': [ [ 'VI_TRUE', 'Use gain and offset from waveform.' ], [ 'VI_FALSE', 'Do not use gain and offset from waveform.' ] ] }, 'name': 'useGainAndOffsetFromWaveform', 'type': 'ViBoolean' }, { 'direction': 'out', 'documentation': { 'description': '\nThe handle that identifies the new waveform. This handle is used later\nwhen referring to this waveform.\n' }, 'name': 'waveformHandle', 'type': 'ViInt32' } ], 'returns': 'ViStatus' }, 'CreateWaveformFromFileI16': { 'documentation': { 'description': '\nTakes the binary 16-bit signed integer (I16) data from the specified\nfile and creates an onboard waveform for use in Arbitrary Waveform or\nArbitrary Sequence output mode. The **waveformHandle** returned by this\nfunction can later be used for setting the active waveform, changing the\ndata in the waveform, building sequences of waveforms, or deleting the\nwaveform when it is no longer needed.\n', 'note': '\nThe I16 data (values between –32768 and +32767) is assumed to\nrepresent –1 to +1 V. Use the NIFGEN_ATTR_DIGITAL_GAIN attribute to\ngenerate different voltage outputs.\n' }, 'parameters': [ { 'direction': 'in', 'documentation': { 'description': '\nIdentifies your instrument session. **vi** is obtained from the\nniFgen_init, nifgen_InitWithOptions, or nifgen_InitializeWithChannels\nfunctions and identifies a particular instrument session.\n' }, 'name': 'vi', 'type': 'ViSession' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the channel name for which you want to create the waveform.\n\n**Default Value**: "0"\n' }, 'name': 'channelName', 'type': 'ViConstString' }, { 'direction': 'in', 'documentation': { 'description': 'The full path and name of the file where the waveform data resides.' }, 'name': 'fileName', 'type': 'ViConstString' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the byte order of the data in the file.\n\n****Defined Values****\n\n| \n| ****Default Value**:** NIFGEN_VAL_LITTLE_ENDIAN\n', 'note': '\nData written by most applications in Windows (including\nLabWindows™/CVI™) is in Little Endian format. Data written to a file\nfrom LabVIEW is in Big Endian format by default on all platforms. Big\nEndian and Little Endian refer to the way data is stored in memory,\nwhich can differ on different processors.\n', 'table_body': [ [ 'NIFGEN_VAL_LITTLE_ENDIAN', 'Little Endian Data—The least significant bit is stored at the lowest address, followed by the other bits, in order of increasing significance.' ], [ 'NIFGEN_VAL_BIG_ENDIAN', 'Big Endian Data—The most significant bit is stored at the lowest address, followed by the other bits, in order of decreasing significance.' ] ] }, 'enum': 'ByteOrder', 'name': 'byteOrder', 'type': 'ViInt32' }, { 'direction': 'out', 'documentation': { 'description': '\nThe handle that identifies the new waveform. This handle is used later\nwhen referring to this waveform.\n' }, 'name': 'waveformHandle', 'type': 'ViInt32' } ], 'returns': 'ViStatus' }, 'CreateWaveformI16': { 'codegen_method': 'private', 'documentation': { 'description': '\nCreates an onboard waveform from binary 16-bit signed integer (I16) data\nfor use in Arbitrary Waveform or Arbitrary Sequence output mode. The\n**waveformHandle** returned can later be used for setting the active\nwaveform, changing the data in the waveform, building sequences of\nwaveforms, or deleting the waveform when it is no longer needed.\n', 'note': '\nYou must call the nifgen_ConfigureOutputMode function to set the\n**outputMode** parameter to NIFGEN_VAL_OUTPUT_ARB or\nNIFGEN_VAL_OUTPUT_SEQ before calling this function.\n' }, 'method_name_for_documentation': 'create_waveform', 'method_templates': [ { 'method_python_name_suffix': '_numpy', 'session_filename': 'numpy_write_method' } ], 'parameters': [ { 'direction': 'in', 'documentation': { 'description': '\nIdentifies your instrument session. **vi** is obtained from the\nniFgen_init, nifgen_InitWithOptions, or nifgen_InitializeWithChannels\nfunctions and identifies a particular instrument session.\n' }, 'name': 'vi', 'type': 'ViSession' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the channel name for which you want to create the waveform.\n\n**Default Value**: "0"\n' }, 'name': 'channelName', 'type': 'ViConstString' }, { 'direction': 'in', 'documentation': { 'description': '\n| Specifies the size of the arbitrary waveform that you want to create.\n| The size must meet the following restrictions:\n\n- The size must be less than or equal to the maximum waveform size that\n the device allows.\n- The size must be greater than or equal to the minimum waveform size\n that the device allows.\n- The size must be an integer multiple of the device waveform quantum.\n\nYou can obtain these values from the **maximumWaveformSize**,\n**minimumWaveformSize**, and **waveformQuantum** parameters of the\nnifgen_QueryArbWfmCapabilities function.\n\n| \n| ****Default Value**:** None\n' }, 'name': 'waveformSize', 'type': 'ViInt32' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecify the array of data that you want to use for the new arbitrary\nwaveform. The array must have at least as many elements as the value\nthat you specify in the Waveform Size parameter.\nYou must normalize the data points in the array to be between -32768 and\n+32767.\n****Default Value**:** None\n' }, 'name': 'waveformDataArray', 'numpy': True, 'size': { 'mechanism': 'len', 'value': 'waveformSize' }, 'type': 'ViInt16[]', 'use_array': True }, { 'direction': 'out', 'documentation': { 'description': '\nThe handle that identifies the new waveform. This handle is used later\nwhen referring to this waveform.\n' }, 'name': 'waveformHandle', 'type': 'ViInt32' } ], 'returns': 'ViStatus' }, 'DefineUserStandardWaveform': { 'documentation': { 'description': '\nDefines a user waveform for use in either Standard Function or Frequency\nList output mode.\n\nTo select the waveform, set the **waveform** parameter to\nNIFGEN_VAL_WFM_USER with either the nifgen_ConfigureStandardWaveform\nor the nifgen_CreateFreqList function.\n\nThe waveform data must be scaled between –1.0 and 1.0. Use the\n**amplitude** parameter in the niFgen_ConfigureStandardWaveform\nfunction to generate different output voltages.\n', 'note': '\nYou must call the nifgen_ConfigureOutputMode function to set the\n**outputMode** parameter to NIFGEN_VAL_OUTPUT_FUNC or\nNIFGEN_VAL_OUTPUT_FREQ_LIST before calling this function.\n' }, 'parameters': [ { 'direction': 'in', 'documentation': { 'description': '\nIdentifies your instrument session. **vi** is obtained from the\nniFgen_init, nifgen_InitWithOptions, or nifgen_InitializeWithChannels\nfunctions and identifies a particular instrument session.\n' }, 'name': 'vi', 'type': 'ViSession' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the channel name for which you want to define a user standard\nwaveform.\n\n**Default Value**: "0"\n' }, 'name': 'channelName', 'type': 'ViConstString' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the size of the waveform in samples.\n**Default Value**: 16384\n' }, 'name': 'waveformSize', 'type': 'ViInt32' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the array of data you want to use for the new arbitrary\nwaveform. The array must have at least as many elements as the value\nthat you specify in **waveformSize**.\n\nYou must normalize the data points in the array to be between –1.00 and\n+1.00.\n\n**Default Value**: None\n' }, 'name': 'waveformDataArray', 'size': { 'mechanism': 'len', 'value': 'waveformSize' }, 'type': 'ViReal64[]' } ], 'returns': 'ViStatus' }, 'DeleteNamedWaveform': { 'codegen_method': 'private', 'documentation': { 'description': '\nRemoves a previously created arbitrary waveform from the signal\ngenerator memory and invalidates the waveform handle.\n', 'note': '\nThe signal generator must not be in the Generating state when you call\nthis function.\n' }, 'method_name_for_documentation': 'delete_waveform', 'parameters': [ { 'direction': 'in', 'documentation': { 'description': '\nIdentifies your instrument session. **vi** is obtained from the\nniFgen_init, nifgen_InitWithOptions, or nifgen_InitializeWithChannels\nfunctions and identifies a particular instrument session.\n' }, 'name': 'vi', 'type': 'ViSession' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the channel onto which the named waveform is loaded.\n\n**Default Value**: "0"\n' }, 'name': 'channelName', 'type': 'ViConstString' }, { 'direction': 'in', 'documentation': { 'description': 'Specifies the name to associate with the allocated waveform.' }, 'name': 'waveformName', 'type': 'ViConstString' } ], 'returns': 'ViStatus' }, 'DeleteScript': { 'documentation': { 'description': 'Deletes the specified script from onboard memory.' }, 'parameters': [ { 'direction': 'in', 'documentation': { 'description': '\nIdentifies your instrument session. **vi** is obtained from the\nniFgen_init, nifgen_InitWithOptions, or nifgen_InitializeWithChannels\nfunctions and identifies a particular instrument session.\n' }, 'name': 'vi', 'type': 'ViSession' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the channel onto which the script is loaded.\n\n**Default Value**: "0"\n' }, 'name': 'channelName', 'type': 'ViConstString' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the name of the script you want to delete. The script name\nappears in the text of the script following the script keyword.\n' }, 'name': 'scriptName', 'type': 'ViConstString' } ], 'returns': 'ViStatus' }, 'DeleteWaveformDispatch': { 'codegen_method': 'python-only', 'documentation': { 'description': 'Removes a previously created arbitrary waveform from the signal generator memory.', 'note': 'The signal generator must not be in the Generating state when you call this function.' }, 'method_templates': [ { 'documentation_filename': 'default_method', 'method_python_name_suffix': '', 'session_filename': 'delete_waveform' } ], 'parameters': [ { 'direction': 'in', 'documentation': { 'description': 'Identifies your instrument session. **vi** is obtained from niFgen_InitializeWithChannels function and identifies a particular instrument session.' }, 'name': 'vi', 'type': 'ViSession' }, { 'direction': 'in', 'documentation': { 'description': 'Specifies the channel onto which the named waveform is loaded.' }, 'name': 'channelName', 'type': 'ViString' }, { 'direction': 'in', 'documentation': { 'description': 'The name (str) or handle (int) of an arbitrary waveform previously allocated with niFgen_AllocateNamedWaveform, niFgen_AllocateWaveform or niFgen_CreateWaveformF64.' }, 'name': 'waveformNameOrHandle', 'type': 'ViInt32', 'type_in_documentation': 'str or int' } ], 'python_name': 'delete_waveform', 'returns': 'ViStatus' }, 'Disable': { 'documentation': { 'description': '\nPlaces the instrument in a quiescent state where it has minimal or no\nimpact on the system to which it is connected. The analog output and all\nexported signals are disabled.\n' }, 'parameters': [ { 'direction': 'in', 'documentation': { 'description': '\nIdentifies your instrument session. **vi** is obtained from the\nniFgen_init, nifgen_InitWithOptions, or nifgen_InitializeWithChannels\nfunctions and identifies a particular instrument session.\n' }, 'name': 'vi', 'type': 'ViSession' } ], 'returns': 'ViStatus' }, 'DisableAnalogFilter': { 'codegen_method': 'no', 'documentation': { 'description': '\nDisables the analog filter. This function sets the\nNIFGEN_ATTR_ANALOG_FILTER_ENABLED attribute to VI_FALSE. This\nsetting can be applied in Arbitrary Waveform, Arbitrary Sequence, or\nScript output modes. You also can use this setting in Standard Function\nand Frequency List output modes for user-defined waveforms.\n' }, 'parameters': [ { 'direction': 'in', 'documentation': { 'description': '\nIdentifies your instrument session. **vi** is obtained from the\nniFgen_init, nifgen_InitWithOptions, or nifgen_InitializeWithChannels\nfunctions and identifies a particular instrument session.\n' }, 'name': 'vi', 'type': 'ViSession' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the channel name for which you want to disable the analog\nfilter.\n\n**Default Value**: "0"\n' }, 'name': 'channelName', 'type': 'ViConstString' } ], 'returns': 'ViStatus' }, 'DisableDigitalFilter': { 'codegen_method': 'no', 'documentation': { 'description': '\nDisables the digital filter. This function sets the\nNIFGEN_ATTR_DIGITAL_FILTER_ENABLED attribute to VI_FALSE. This\nsetting can be applied in Arbitrary Waveform, Arbitrary Sequence, or\nScript output modes. You also can use this setting in Standard Function\nand Frequency List output modes for user-defined waveforms.\n' }, 'parameters': [ { 'direction': 'in', 'documentation': { 'description': '\nIdentifies your instrument session. **vi** is obtained from the\nniFgen_init, nifgen_InitWithOptions, or nifgen_InitializeWithChannels\nfunctions and identifies a particular instrument session.\n' }, 'name': 'vi', 'type': 'ViSession' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the channel name for which you want to disable the digital\nfilter.\n\n**Default Value**: "0"\n' }, 'name': 'channelName', 'type': 'ViConstString' } ], 'returns': 'ViStatus' }, 'DisableDigitalPatterning': { 'codegen_method': 'no', 'documentation': { 'description': '\nDisables digital pattern output on the signal generator. This function\nsets the NIFGEN_ATTR_DIGITAL_PATTERN_ENABLED attribute to VI_FALSE.\n' }, 'parameters': [ { 'direction': 'in', 'documentation': { 'description': '\nIdentifies your instrument session. **vi** is obtained from the\nniFgen_init, nifgen_InitWithOptions, or nifgen_InitializeWithChannels\nfunctions and identifies a particular instrument session.\n' }, 'name': 'vi', 'type': 'ViSession' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the channel name for which you want to disable digital pattern\noutput.\n\n**Default Value**: "0"\n' }, 'name': 'channelName', 'type': 'ViConstString' } ], 'returns': 'ViStatus' }, 'DisableScriptTrigger': { 'codegen_method': 'no', 'documentation': { 'description': 'Disables the specified Script Trigger.' }, 'parameters': [ { 'direction': 'in', 'documentation': { 'description': '\nIdentifies your instrument session. **vi** is obtained from the\nniFgen_init, nifgen_InitWithOptions, or nifgen_InitializeWithChannels\nfunctions and identifies a particular instrument session.\n' }, 'name': 'vi', 'type': 'ViSession' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the Script Trigger used for triggering.\n\n**Defined Values**\n\n**Default Value**: "ScriptTrigger0"\n', 'table_body': [ [ '"ScriptTrigger0"', 'Script Trigger 0' ], [ '"ScriptTrigger1"', 'Script Trigger 1' ], [ '"ScriptTrigger2"', 'Script Trigger 2' ], [ '"ScriptTrigger3"', 'Script Trigger 3' ] ] }, 'name': 'triggerId', 'type': 'ViConstString' } ], 'returns': 'ViStatus' }, 'DisableStartTrigger': { 'codegen_method': 'no', 'documentation': { 'description': 'Disables the Start Trigger.' }, 'parameters': [ { 'direction': 'in', 'documentation': { 'description': '\nIdentifies your instrument session. **vi** is obtained from the\nniFgen_init, nifgen_InitWithOptions, or nifgen_InitializeWithChannels\nfunctions and identifies a particular instrument session.\n' }, 'name': 'vi', 'type': 'ViSession' } ], 'returns': 'ViStatus' }, 'EnableAnalogFilter': { 'codegen_method': 'no', 'documentation': { 'description': '\nConfigures the analog filter for the device. This function sets the\nNIFGEN_ATTR_ANALOG_FILTER_ENABLED attribute to VI_TRUE. This\nsetting can be applied in Arbitrary Waveform, Arbitrary Sequence, or\nScript output modes. You also can use this setting in Standard Function\nand Frequency List output modes for user-defined waveforms.\n' }, 'parameters': [ { 'direction': 'in', 'documentation': { 'description': '\nIdentifies your instrument session. **vi** is obtained from the\nniFgen_init, nifgen_InitWithOptions, or nifgen_InitializeWithChannels\nfunctions and identifies a particular instrument session.\n' }, 'name': 'vi', 'type': 'ViSession' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the channel name for which you want to enable the analog\nfilter.\n\n**Default Value**: "0"\n' }, 'name': 'channelName', 'type': 'ViConstString' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the filter correction frequency of the analog filter. On the\nNI 5411 and NI 5431, NI-FGEN adjusts signal amplitude to compensate for\nthe filter attenuation at that frequency. To disable amplitude\ncorrection, set **filterCorrectionFrequency** to 0. For Standard\nFunction output mode, **filterCorrectionFrequency** typically should be\nset to the same value as the frequency of the standard waveform.\n\n**Units**: hertz\n\n**Default Value**: 0\n' }, 'name': 'filterCorrectionFrequency', 'type': 'ViReal64' } ], 'returns': 'ViStatus' }, 'EnableDigitalFilter': { 'codegen_method': 'no', 'documentation': { 'description': '\nEnables the digital filter by setting the\nNIFGEN_ATTR_DIGITAL_FILTER_ENABLED attribute to VI_TRUE. This\nsetting can be applied in Arbitrary Waveform, Arbitrary Sequence, or\nScript output modes. You also can use this setting in Standard Function\nand Frequency List output modes for user-defined waveforms.\n' }, 'parameters': [ { 'direction': 'in', 'documentation': { 'description': '\nIdentifies your instrument session. **vi** is obtained from the\nniFgen_init, nifgen_InitWithOptions, or nifgen_InitializeWithChannels\nfunctions and identifies a particular instrument session.\n' }, 'name': 'vi', 'type': 'ViSession' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the channel name for which you want to enable the digital\nfilter.\n\n**Default Value**: "0"\n' }, 'name': 'channelName', 'type': 'ViConstString' } ], 'returns': 'ViStatus' }, 'EnableDigitalPatterning': { 'codegen_method': 'no', 'documentation': { 'description': '\nEnables digital pattern output on the signal generator. This function\nsets the NIFGEN_ATTR_DIGITAL_PATTERN_ENABLED attribute to VI_TRUE.\n' }, 'parameters': [ { 'direction': 'in', 'documentation': { 'description': '\nIdentifies your instrument session. **vi** is obtained from the\nniFgen_init, nifgen_InitWithOptions, or nifgen_InitializeWithChannels\nfunctions and identifies a particular instrument session.\n' }, 'name': 'vi', 'type': 'ViSession' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the channel name for which you want to enable the digital\npattern output.\n\n**Default Value**: "0"\n' }, 'name': 'channelName', 'type': 'ViConstString' } ], 'returns': 'ViStatus' }, 'ErrorHandler': { 'codegen_method': 'no', 'documentation': { 'description': '\nConverts a status code returned by an NI-FGEN function into a\nuser-readable string and returns any error elaborations.\n' }, 'parameters': [ { 'direction': 'in', 'documentation': { 'description': '\nIdentifies your instrument session. **vi** is obtained from the\nniFgen_init or the niFgen_InitWithOptions functions and identifies a\nparticular instrument session.\n\nYou can pass VI_NULL for this parameter. Passing VI_NULL is useful\nwhen one of the initialize functions fails.\n\n**Default Value**: VI_NULL\n' }, 'name': 'vi', 'type': 'ViSession' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the **status** parameter that is returned from any of the\nNI-FGEN functions.\n\n**Default Value**: 0 (VI_SUCCESS)\n' }, 'name': 'errorCode', 'type': 'ViStatus' }, { 'direction': 'out', 'documentation': { 'description': '\nReturns the error message string read from the instrument error message\nqueue.\n\nYou must pass a ViChar array with at least 256 bytes.\n' }, 'name': 'errorMessage', 'type': 'ViChar[]' } ], 'returns': 'ViStatus' }, 'ExportAttributeConfigurationFile': { 'codegen_method': 'no', 'documentation': { 'description': 'TBD' }, 'parameters': [ { 'direction': 'in', 'name': 'vi', 'type': 'ViSession' }, { 'direction': 'in', 'name': 'filePath', 'type': 'ViConstString' } ], 'returns': 'ViStatus' }, 'ExportSignal': { 'codegen_method': 'no', 'documentation': { 'description': '\nRoutes signals (clocks, triggers, and events) to the output terminal you\nspecify.\n\nAny routes created within a session persist after the session closes to\nprevent signal glitching. To unconfigure signal routes created in\nprevious sessions, set **resetDevice** in the niFgen_init function to\nVI_TRUE or use the niFgen_ResetDevice function.\n\nIf you export a signal with this function and commit the session, the\nsignal is routed to the output terminal you specify.\n' }, 'parameters': [ { 'direction': 'in', 'documentation': { 'description': '\nIdentifies your instrument session. **vi** is obtained from the\nniFgen_init, nifgen_InitWithOptions, or nifgen_InitializeWithChannels\nfunctions and identifies a particular instrument session.\n' }, 'name': 'vi', 'type': 'ViSession' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the source of the signal to route.\n****Defined Values****\n', 'table_body': [ [ 'NIFGEN_VAL_ONBOARD_REFERENCE_CLOCK', 'Onboard 10 MHz synchronization clock (PCI only)' ], [ 'NIFGEN_VAL_SYNC_OUT', 'SYNC OUT signal The SYNC OUT signal is normally generated on the SYNC OUT front panel connector.' ], [ 'NIFGEN_VAL_START_TRIGGER', 'Start Trigger' ], [ 'NIFGEN_VAL_MARKER_EVENT', 'Marker Event' ], [ 'NIFGEN_VAL_SAMPLE_CLOCK_TIMEBASE', 'The clock from which the Sample Clock is derived' ], [ 'NIFGEN_VAL_SYNCHRONIZATION', 'Synchronization strobe (NI 5404/5411/5431 only) A synchronization strobe is used to guarantee absolute synchronization between two or more signal generators.' ], [ 'NIFGEN_VAL_SAMPLE_CLOCK', 'Sample Clock' ], [ 'NIFGEN_VAL_REFERENCE_CLOCK', 'PLL Reference Clock' ], [ 'NIFGEN_VAL_SCRIPT_TRIGGER', 'Script Trigger' ], [ 'NIFGEN_VAL_READY_FOR_START_EVENT', 'Ready For Start Event' ], [ 'NIFGEN_VAL_STARTED_EVENT', 'Started Event' ], [ 'NIFGEN_VAL_DONE_EVENT', 'Done Event' ], [ 'NIFGEN_VAL_DATA_MARKER_EVENT', 'Data Marker Event' ] ] }, 'name': 'signal', 'type': 'ViInt32' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies which instance of the selected signal to export.\n****Defined Values****\n', 'table_body': [ [ '"" (empty string)', 'Default (for non instance-based signals)' ], [ '"ScriptTrigger0"', 'Script Trigger 0' ], [ '"ScriptTrigger1"', 'Script Trigger 1' ], [ '"ScriptTrigger2"', 'Script Trigger 2' ], [ '"ScriptTrigger3"', 'Script Trigger 3' ], [ '"Marker0"', 'Marker 0' ], [ '"Marker1"', 'Marker 1' ], [ '"Marker2"', 'Marker 2' ], [ '"Marker3"', 'Marker 3' ], [ '"DataMarker0"', 'Data Marker 0\\*' ], [ '"DataMarker1"', 'Data Marker 1\\*' ], [ '"DataMarker2"', 'Data Marker 2\\*' ], [ '"DataMarker3"', 'Data Marker 3\\*' ], [ '\\* These Data Marker values apply only to single-channel devices or to multichannel devices that are configured for single-channel operation. When using a device that is configured for multichannel operation, specify the channel number along with the signal identifier. For example, to export Data Marker 0 on channel 1 of a device configured for multichannel operation, use the value "1/ DataMarker0." If you do not specify a channel when using a device configured for multichannel generation, DataMarker0 generates on all channels.' ] ] }, 'name': 'signalIdentifier', 'type': 'ViConstString' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the output terminal to export the signal.\n****Defined Values****\n', 'note': '\nThe following **Defined Values** are examples of possible output\nterminals. For a complete list of the output terminals available on your\ndevice, refer to the Routes topic for your device or the **Device\nRoutes** tab in MAX.\n', 'table_body': [ [ '"" (empty string)', 'Do not export signal' ], [ '"PFI0"', 'PFI line 0' ], [ '"PFI1"', 'PFI line 1' ], [ '"PFI4"', 'PFI line 4' ], [ '"PFI5"', 'PFI line 5' ], [ '"PXI_Trig0"', 'PXI or RTSI line 0' ], [ '"PXI_Trig1"', 'PXI or RTSI line 1' ], [ '"PXI_Trig2"', 'PXI or RTSI line 2' ], [ '"PXI_Trig3"', 'PXI or RTSI line 3' ], [ '"PXI_Trig4"', 'PXI or RTSI line 4' ], [ '"PXI_Trig5"', 'PXI or RTSI line 5' ], [ '"PXI_Trig6"', 'PXI or RTSI line 6' ], [ '"PXI_Trig7"', 'PXI or RTSI line 7' ], [ '"DDC_ClkOut"', 'Clock out from DDC connector' ], [ '"PXI_Star"', 'PXI star trigger line' ] ] }, 'name': 'outputTerminal', 'type': 'ViConstString' } ], 'returns': 'ViStatus' }, 'GetAttributeViBoolean': { 'codegen_method': 'private', 'documentation': { 'description': '\nQueries the value of a ViBoolean attribute.\n\nYou can use this function to get the values of instrument-specific\nattributes and inherent IVI attributes. If the attribute represents an\ninstrument state, this function performs instrument I/O in the following\ncases:\n\n- State caching is disabled for the entire session or for the\n particular attribute.\n- State caching is enabled and the currently cached value is invalid.\n' }, 'parameters': [ { 'direction': 'in', 'documentation': { 'description': '\nIdentifies your instrument session. **vi** is obtained from the\nniFgen_init, nifgen_InitWithOptions, or nifgen_InitializeWithChannels\nfunctions and identifies a particular instrument session.\n' }, 'name': 'vi', 'type': 'ViSession' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the name of the channel on which to check the attribute value\nif the attribute is channel-based. If the attribute is not\nchannel-based, then pass VI_NULL or an empty string ("").\n\n**Default Value**: "" (empty string)\n' }, 'name': 'channelName', 'type': 'ViConstString' }, { 'direction': 'in', 'documentation': { 'description': 'Specifies the ID of an attribute.' }, 'name': 'attributeId', 'type': 'ViAttr' }, { 'direction': 'out', 'documentation': { 'description': '\nReturns the current value of the attribute. Pass the address of a\nViBoolean variable.\n' }, 'name': 'attributeValue', 'type': 'ViBoolean' } ], 'returns': 'ViStatus' }, 'GetAttributeViInt32': { 'codegen_method': 'private', 'documentation': { 'description': '\nQueries the value of a ViInt32 attribute. You can use this function to\nget the values of instrument-specific attributes and inherent IVI\nattributes. If the attribute represents an instrument state, this\nfunction performs instrument I/O in the following cases:\n\n- State caching is disabled for the entire session or for the\n particular attribute.\n- State caching is enabled and the currently cached value is invalid.\n' }, 'parameters': [ { 'direction': 'in', 'documentation': { 'description': '\nIdentifies your instrument session. **vi** is obtained from the\nniFgen_init, nifgen_InitWithOptions, or nifgen_InitializeWithChannels\nfunctions and identifies a particular instrument session.\n' }, 'name': 'vi', 'type': 'ViSession' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the name of the channel on which to check the attribute value\nif the attribute is channel-based. If the attribute is not\nchannel-based, then pass VI_NULL or an empty string ("").\n\n**Default Value**: "" (empty string)\n' }, 'name': 'channelName', 'type': 'ViConstString' }, { 'direction': 'in', 'documentation': { 'description': 'Specifies the ID of an attribute.' }, 'name': 'attributeId', 'type': 'ViAttr' }, { 'direction': 'out', 'documentation': { 'description': '\nReturns the current value of the attribute. Pass the address of a\nViInt32 variable.\n' }, 'name': 'attributeValue', 'type': 'ViInt32' } ], 'returns': 'ViStatus' }, 'GetAttributeViInt64': { 'codegen_method': 'no', 'documentation': { 'description': '\nQueries the value of a ViInt64 attribute. You can use this function to\nget the values of instrument-specific attributes and inherent IVI\nattributes. If the attribute represents an instrument state, this\nfunction performs instrument I/O in the following cases:\n\n- State caching is disabled for the entire session or for the\n particular attribute.\n- State caching is enabled and the currently cached value is invalid.\n' }, 'parameters': [ { 'direction': 'in', 'documentation': { 'description': '\nIdentifies your instrument session. **vi** is obtained from the\nniFgen_init, nifgen_InitWithOptions, or nifgen_InitializeWithChannels\nfunctions and identifies a particular instrument session.\n' }, 'name': 'vi', 'type': 'ViSession' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the name of the channel on which to check the attribute value\nif the attribute is channel-based. If the attribute is not\nchannel-based, then pass VI_NULL or an empty string ("").\n\n**Default Value**: "" (empty string)\n' }, 'name': 'channelName', 'type': 'ViConstString' }, { 'direction': 'in', 'documentation': { 'description': 'Specifies the ID of an attribute.' }, 'name': 'attributeId', 'type': 'ViAttr' }, { 'direction': 'out', 'documentation': { 'description': '\nReturns the current value of the attribute. Pass the address of a\nViInt64 variable.\n' }, 'name': 'attributeValue', 'type': 'ViInt64' } ], 'returns': 'ViStatus' }, 'GetAttributeViReal64': { 'codegen_method': 'private', 'documentation': { 'description': '\nQueries the value of a ViReal64 attribute.\n\nYou can use this function to get the values of instrument-specific\nattributes and inherent IVI attributes. If the attribute represents an\ninstrument state, this function performs instrument I/O in the following\ncases:\n\n- State caching is disabled for the entire session or for the\n particular attribute.\n- State caching is enabled and the currently cached value is invalid.\n' }, 'parameters': [ { 'direction': 'in', 'documentation': { 'description': '\nIdentifies your instrument session. **vi** is obtained from the\nniFgen_init, nifgen_InitWithOptions, or nifgen_InitializeWithChannels\nfunctions and identifies a particular instrument session.\n' }, 'name': 'vi', 'type': 'ViSession' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the name of the channel on which to check the attribute value\nif the attribute is channel-based. If the attribute is not\nchannel-based, then pass VI_NULL or an empty string ("").\n\n**Default Value**: "" (empty string)\n' }, 'name': 'channelName', 'type': 'ViConstString' }, { 'direction': 'in', 'documentation': { 'description': 'Specifies the ID of an attribute.' }, 'name': 'attributeId', 'type': 'ViAttr' }, { 'direction': 'out', 'documentation': { 'description': '\nReturns the current value of the attribute. Pass the address of a\nViReal64 variable.\n' }, 'name': 'attributeValue', 'type': 'ViReal64' } ], 'returns': 'ViStatus' }, 'GetAttributeViSession': { 'codegen_method': 'no', 'documentation': { 'description': '\nQueries the value of a ViSession attribute.\n\nYou can use this function to get the values of instrument-specific\nattributes and inherent IVI attributes. If the attribute represents an\ninstrument state, this function performs instrument I/O in the following\ncases:\n\n- State caching is disabled for the entire session or for the\n particular attribute.\n- State caching is enabled and the currently cached value is invalid.\n' }, 'parameters': [ { 'direction': 'in', 'documentation': { 'description': '\nIdentifies your instrument session. **vi** is obtained from the\nniFgen_init, nifgen_InitWithOptions, or nifgen_InitializeWithChannels\nfunctions and identifies a particular instrument session.\n' }, 'name': 'vi', 'type': 'ViSession' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the name of the channel on which to check the attribute value\nif the attribute is channel-based. If the attribute is not\nchannel-based, then pass VI_NULL or an empty string ("").\n\n**Default Value**: "" (empty string)\n' }, 'name': 'channelName', 'type': 'ViConstString' }, { 'direction': 'in', 'documentation': { 'description': 'Specifies the ID of an attribute.' }, 'name': 'attributeId', 'type': 'ViAttr' }, { 'direction': 'out', 'documentation': { 'description': '\nReturns the current value of the attribute. Pass the address of a\nViSession variable.\n' }, 'name': 'attributeValue', 'type': 'ViSession' } ], 'returns': 'ViStatus' }, 'GetAttributeViString': { 'codegen_method': 'private', 'documentation': { 'description': '\nQueries the value of a ViString attribute.\n\nYou can use this function to get the values of instrument-specific\nattributes and inherent IVI attributes. If the attribute represents an\ninstrument state, this function performs instrument I/O in the following\ncases:\n\n- State caching is disabled for the entire session or for the\n particular attribute.\n- State caching is enabled and the currently cached value is invalid.\n\nYou must provide a ViChar array to serve as a buffer for the value. You\npass the number of bytes in the buffer as the **arraySize** parameter.\nIf the current value of the attribute, including the terminating NUL\nbyte, is larger than the size you indicate in the **arraySize**\nparameter, the function copies **arraySize** – 1 bytes into the buffer,\nplaces an ASCII NUL byte at the end of the buffer, and returns the array\nsize you must pass to get the entire value. For example, if the value is\n123456 and **arraySize** is 4, the function places 123 into the buffer\nand returns 7.\n\nIf you want to call this function just to get the required array size,\nyou can pass 0 for **arraySize** and VI_NULL for the **attributeValue**\nbuffer.\n\nIf you want the function to fill in the buffer regardless of the number\nof bytes in the value, pass a negative number for the **arraySize**\nparameter.\n' }, 'parameters': [ { 'direction': 'in', 'documentation': { 'description': '\nIdentifies your instrument session. **vi** is obtained from the\nniFgen_init, nifgen_InitWithOptions, or nifgen_InitializeWithChannels\nfunctions and identifies a particular instrument session.\n' }, 'name': 'vi', 'type': 'ViSession' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the name of the channel on which to check the attribute value\nif the attribute is channel-based. If the attribute is not\nchannel-based, then pass VI_NULL or an empty string ("").\n\n**Default Value**: "" (empty string)\n' }, 'name': 'channelName', 'type': 'ViConstString' }, { 'direction': 'in', 'documentation': { 'description': 'Specifies the ID of an attribute.' }, 'name': 'attributeId', 'type': 'ViAttr' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the number of bytes in the ViChar array you specify for the\n**attributeValue** parameter.\n\nIf the current value of the attribute, including the terminating NUL\nbyte, contains more bytes than you indicate in this parameter, the\nfunction copies **arraySize** – 1 bytes into the buffer, places an ASCII\nNUL byte at the end of the buffer, and returns the array size you must\npass to get the entire value. For example, if the value is 123456 and\n**arraySize** is 4, the function places 123 into the buffer and returns\n7.\n\nIf you pass a negative number, the function copies the value to the\nbuffer regardless of the number of bytes in the value.\n\nIf you pass 0, you can pass VI_NULL for the **attributeValue** buffer\nparameter.\n' }, 'name': 'arraySize', 'type': 'ViInt32' }, { 'direction': 'out', 'documentation': { 'description': '\nThe buffer in which the function returns the current value of the\nattribute. The buffer must be a ViChar data type and have at least as\nmany bytes as indicated in the **arraySize** parameter.\n\nIf the current value of the attribute, including the terminating NUL\nbyte, contains more bytes than you indicate in this parameter, the\nfunction copies **arraySize** – 1 bytes into the buffer, places an ASCII\nNUL byte at the end of the buffer, and returns the array size you must\npass to get the entire value. For example, if the value is 123456 and\n**arraySize** is 4, the function places 123 into the buffer and returns\n7.\n\nIf you specify 0 for the **arraySize** parameter, you can pass VI_NULL\nfor this parameter.\n' }, 'name': 'attributeValue', 'size': { 'mechanism': 'ivi-dance', 'value': 'arraySize' }, 'type': 'ViChar[]' } ], 'returns': 'ViStatus' }, 'GetCalUserDefinedInfo': { 'codegen_method': 'no', 'documentation': { 'description': '\nRetrieves user-defined information from the onboard EEPROM. Call the\nnifgen_GetCalUserDefinedInfoMaxSize function to determine the number of\ncharacters that can be retrieved. The buffer you provide should be the\nsize of the maximum number of characters stored plus one termination\ncharacter.\n' }, 'parameters': [ { 'direction': 'in', 'documentation': { 'description': '\nIdentifies your instrument session. **vi** is obtained from the\nnifgen_init or the nifgen_InitExtCal function and identifies a\nparticular instrument session.\n' }, 'name': 'vi', 'type': 'ViSession' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies a string into which the user information is copied. This\nparameter must point to a character buffer large enough to hold the\ninformation string.\n' }, 'name': 'info', 'size': { 'mechanism': 'fixed', 'value': 256 }, 'type': 'ViString' } ], 'returns': 'ViStatus' }, 'GetCalUserDefinedInfoMaxSize': { 'codegen_method': 'no', 'documentation': { 'description': '\nReturns the maximum number of characters, excluding the termination\ncharacter, of user-defined information that can be stored in the onboard\nEEPROM.\n' }, 'parameters': [ { 'direction': 'in', 'documentation': { 'description': '\nIdentifies your instrument session. **vi** is obtained from the\nnifgen_init or the nifgen_InitExtCal function and identifies a\nparticular instrument session.\n' }, 'name': 'vi', 'type': 'ViSession' }, { 'direction': 'out', 'documentation': { 'description': '\nSpecifies the maximum number of characters of user defined info that can\nbe stored in the onboard EEPROM.\n' }, 'name': 'infoSize', 'type': 'ViInt32' } ], 'returns': 'ViStatus' }, 'GetChannelName': { 'codegen_method': 'no', 'documentation': { 'description': 'TBD' }, 'parameters': [ { 'direction': 'in', 'name': 'vi', 'type': 'ViSession' }, { 'direction': 'in', 'name': 'index', 'type': 'ViInt32' }, { 'direction': 'in', 'name': 'bufferSize', 'type': 'ViInt32' }, { 'direction': 'in', 'name': 'name', 'size': { 'mechanism': 'TBD', 'value': 'TBD' }, 'type': 'ViString[]' } ], 'returns': 'ViStatus' }, 'GetError': { 'codegen_method': 'private', 'documentation': { 'description': '\nReturns the error information associated with an IVI session or with the\ncurrent execution thread. If you specify a valid IVI session for the\n**vi** parameter, this function retrieves and then clears the error\ninformation for the session. If you pass VI_NULL for the **vi**\nparameter, this function retrieves and then clears the error information\nfor the current execution thread.\n\nThe IVI Engine also maintains this error information separately for each\nthread. This feature is useful if you do not have a session handle to\npass to the niFgen_GetError or nifgen_ClearError functions. This\nsituation occurs when a call to the nifgen_init or\nnifgen_InitWithOptions function fails.\n' }, 'is_error_handling': True, 'parameters': [ { 'direction': 'in', 'documentation': { 'description': '\nIdentifies your instrument session. **vi** is obtained from the\nniFgen_init or the nifgen_InitWithOptions functions and identifies a\nparticular instrument session.\n\nYou can pass VI_NULL for this parameter. Passing VI_NULL is useful\nwhen one of the initialize functions fail.\n\n**Default Value**: VI_NULL\n' }, 'name': 'vi', 'type': 'ViSession' }, { 'direction': 'out', 'documentation': { 'description': '\nThe error code for the session or execution thread.\n\nA value of VI_SUCCESS (0) indicates that no error occurred. A positive\nvalue indicates a warning. A negative value indicates an error.\n\nYou can call nifgen_error_message to get a text description of the\nvalue.\n\nIf you are not interested in this value, you can pass VI_NULL.\n' }, 'name': 'errorCode', 'type': 'ViStatus' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the size of the **errorDescription** array.\n\nYou can determine the array size needed to store the entire error\ndescription by setting this parameter to 0. The function then ignores\nthe **errorDescription** buffer, which may be set to VI_NULL, and gives\nas its return value the required buffer size. You can then call the\nfunction a second time using the correct buffer size.\n' }, 'name': 'errorDescriptionBufferSize', 'type': 'ViInt32' }, { 'direction': 'out', 'documentation': { 'description': '\nThe error description string for the session or execution thread. If the\nerror code is nonzero, the description string can further describe the\nerror or warning condition.\n\nIf you are not interested in this value, you can pass VI_NULL.\nOtherwise, you must pass a ViChar array of a size specified with the\n**errorDescriptionBufferSize** parameter.\n' }, 'name': 'errorDescription', 'size': { 'mechanism': 'ivi-dance', 'value': 'errorDescriptionBufferSize' }, 'type': 'ViChar[]' } ], 'returns': 'ViStatus', 'use_session_lock': False }, 'GetExtCalLastDateAndTime': { 'codegen_method': 'private', 'documentation': { 'description': '\nReturns the date and time of the last successful external calibration.\nThe time returned is 24-hour (military) local time; for example, if the\ndevice was calibrated at 2:30 PM, this function returns 14 for the\n**hour** parameter and 30 for the **minute** parameter.\n' }, 'method_name_for_documentation': 'get_ext_cal_last_date_and_time', 'parameters': [ { 'direction': 'in', 'documentation': { 'description': '\nIdentifies your instrument session. **vi** is obtained from the\nnifgen_init or the nifgen_InitExtCal function and identifies a\nparticular instrument session.\n' }, 'name': 'vi', 'type': 'ViSession' }, { 'direction': 'out', 'documentation': { 'description': 'Specifies the year of the last successful calibration.' }, 'name': 'year', 'type': 'ViInt32' }, { 'direction': 'out', 'documentation': { 'description': 'Specifies the month of the last successful calibration.' }, 'name': 'month', 'type': 'ViInt32' }, { 'direction': 'out', 'documentation': { 'description': 'Specifies the day of the last successful calibration.' }, 'name': 'day', 'type': 'ViInt32' }, { 'direction': 'out', 'documentation': { 'description': 'Specifies the hour of the last successful calibration.' }, 'name': 'hour', 'type': 'ViInt32' }, { 'direction': 'out', 'documentation': { 'description': 'Specifies the minute of the last successful calibration.' }, 'name': 'minute', 'type': 'ViInt32' } ], 'returns': 'ViStatus' }, 'GetExtCalLastTemp': { 'documentation': { 'description': '\nReturns the temperature at the last successful external calibration. The\ntemperature is returned in degrees Celsius.\n' }, 'parameters': [ { 'direction': 'in', 'documentation': { 'description': '\nIdentifies your instrument session. **vi** is obtained from the\nnifgen_init or the nifgen_InitExtCal function and identifies a\nparticular instrument session.\n' }, 'name': 'vi', 'type': 'ViSession' }, { 'direction': 'out', 'documentation': { 'description': '\nSpecifies the temperature at the last successful calibration in degrees\nCelsius.\n' }, 'name': 'temperature', 'type': 'ViReal64' } ], 'returns': 'ViStatus' }, 'GetExtCalRecommendedInterval': { 'documentation': { 'description': '\nReturns the recommended interval between external calibrations in\nmonths.\n' }, 'parameters': [ { 'direction': 'in', 'documentation': { 'description': '\nIdentifies your instrument session. **vi** is obtained from the\nnifgen_init or the nifgen_InitExtCal function and identifies a\nparticular instrument session.\n' }, 'name': 'vi', 'type': 'ViSession' }, { 'direction': 'out', 'documentation': { 'description': '\nSpecifies the recommended interval between external calibrations in\nmonths.\n' }, 'name': 'months', 'python_api_converter_name': 'convert_month_to_timedelta', 'type': 'ViInt32', 'type_in_documentation': 'datetime.timedelta' } ], 'returns': 'ViStatus' }, 'GetFIRFilterCoefficients': { 'codegen_method': 'no', 'documentation': { 'description': ''' Returns the FIR filter coefficients used by the onboard signal processing block. These coefficients are determined by NI-FGEN and based on the FIR filter type and corresponding attribute (Alpha, Passband, BT) unless you are using the custom filter. If you are using a custom filter, the coefficients returned are those set with the configure_custom_fir_filter_coefficients function coerced to the quantized values used by the device. Refer to the FIR Filter topic for your device in the *NI Signal Generators Help* for more information about FIR filter coefficients. This function is supported only for the NI 5441. ''' }, 'parameters': [ { 'direction': 'in', 'documentation': { 'description': '\nIdentifies your instrument session. **vi** is obtained from the\nniFgen_init, nifgen_InitWithOptions, or nifgen_InitializeWithChannels\nfunctions and identifies a particular instrument session.\n' }, 'name': 'vi', 'type': 'ViSession' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the channel name for which you want to configure the operation\nmode.\n\n**Defined Value**: "0"\n' }, 'name': 'channelName', 'type': 'ViConstString' }, { 'direction': 'in', 'documentation': { 'description': 'Specifies the size of the coefficient array' }, 'name': 'arraySize', 'type': 'ViInt32' }, { 'direction': 'out', 'documentation': { 'description': '\nSpecifies the array of data the onboard signal processor uses for the\nFIR filter coefficients. For the NI 5441, provide a symmetric array of\n95 coefficients to this parameter. The array must have at least as many\nelements as the value that you specify in the **numberOfCoefficients**\nparameter in this function.\nThe coefficients should range between –1.00 and +1.00.\n' }, 'size': { 'mechanism': 'ivi-dance-with-a-twist', 'value': 'arraySize', 'value_twist': 'numberOfCoefficientsRead' }, 'name': 'coefficientsArray', 'type': 'ViReal64[]' }, { 'direction': 'out', 'documentation': { 'description': '\nSpecifies the array of data containing the number of coefficients you\nwant to read.\n' }, 'name': 'numberOfCoefficientsRead', 'type': 'ViInt32' } ], 'returns': 'ViStatus' }, 'GetHardwareState': { 'documentation': { 'description': '\nReturns the current hardware state of the device and, if the device is\nin the hardware error state, the current hardware error.\n', 'note': 'Hardware states do not necessarily correspond to NI-FGEN states.' }, 'parameters': [ { 'direction': 'in', 'documentation': { 'description': '\nIdentifies your instrument session. **vi** is obtained from the\nniFgen_init, nifgen_InitWithOptions, or nifgen_InitializeWithChannels\nfunctions and identifies a particular instrument session.\n' }, 'name': 'vi', 'type': 'ViSession' }, { 'direction': 'out', 'documentation': { 'description': '\nReturns the hardware state of the signal generator.\n\n**Defined Values**\n', 'table_body': [ [ 'NIFGEN_VAL_IDLE', 'The device is in the Idle state.' ], [ 'NIFGEN_VAL_WAITING_FOR_START_TRIGGER', 'The device is waiting for Start Trigger.' ], [ 'NIFGEN_VAL_RUNNING', 'The device is in the Running state.' ], [ 'NIFGEN_VAL_DONE', 'The generation has completed successfully.' ], [ 'NIFGEN_VAL_HARDWARE_ERROR', 'There is a hardware error.' ] ] }, 'enum': 'HardwareState', 'name': 'state', 'type': 'ViInt32' } ], 'returns': 'ViStatus' }, 'GetLastExtCalLastDateAndTime': { 'codegen_method': 'public', 'documentation': { 'description': 'Returns the date and time of the last successful external calibration. The time returned is 24-hour (military) local time; for example, if the device was calibrated at 2:30 PM, this function returns 14 for the **hour** parameter and 30 for the **minute** parameter.' }, 'method_templates': [ { 'documentation_filename': 'default_method', 'method_python_name_suffix': '', 'session_filename': 'datetime_wrappers' } ], 'parameters': [ { 'direction': 'in', 'documentation': { 'description': 'Identifies your instrument session. **vi** is obtained from the nifgen_init or the nifgen_InitExtCal function and identifies a particular instrument session.' }, 'name': 'vi', 'type': 'ViSession' }, { 'direction': 'out', 'documentation': { 'description': 'Indicates date and time of the last calibration.' }, 'name': 'month', 'type': 'datetime.datetime' } ], 'python_name': 'get_ext_cal_last_date_and_time', 'real_datetime_call': 'GetExtCalLastDateAndTime', 'returns': 'ViStatus' }, 'GetLastSelfCalLastDateAndTime': { 'codegen_method': 'public', 'documentation': { 'description': 'Returns the date and time of the last successful self-calibration.' }, 'method_templates': [ { 'documentation_filename': 'default_method', 'method_python_name_suffix': '', 'session_filename': 'datetime_wrappers' } ], 'parameters': [ { 'direction': 'in', 'documentation': { 'description': 'Identifies your instrument session. **vi** is obtained from the nifgen_init or the nifgen_InitExtCal function and identifies a particular instrument session.' }, 'name': 'vi', 'type': 'ViSession' }, { 'direction': 'out', 'documentation': { 'description': 'Returns the date and time the device was last calibrated.' }, 'name': 'month', 'type': 'datetime.datetime' } ], 'python_name': 'get_self_cal_last_date_and_time', 'real_datetime_call': 'GetSelfCalLastDateAndTime', 'returns': 'ViStatus' }, 'GetNextCoercionRecord': { 'codegen_method': 'no', 'documentation': { 'description': '\nReturns the coercion information associated with the IVI session. This\nfunction retrieves and clears the oldest instance in which the NI-FGEN\ncoerced a value you specified to another value.\n\nIf you set the NIFGEN_ATTR_RECORD_COERCIONS attribute to VI_TRUE,\nNI-FGEN keeps a list of all coercions it makes on ViInt32 or ViReal64\nvalues that you pass to NI-FGEN functions. You use this function to\nretrieve information from that list.\n\nIf the next coercion record string, including the terminating NUL byte,\ncontains more bytes than you indicate in this parameter, the function\ncopies **bufferSize** – 1 bytes into the buffer, places an ASCII NUL\nbyte at the end of the buffer, and returns the buffer size you must pass\nto get the entire value. For example, if the value is 123456 and\n**bufferSize** is 4, the function places 123 into the buffer and returns\n7.\n\nIf you pass a negative number, the function copies the value to the\nbuffer regardless of the number of bytes in the value.\n\nIf you pass 0, you can pass VI_NULL for the **coercionRecord** buffer\nparameter.\n\nThe function returns an empty string in the **coercionRecord** parameter\nif no coercion records remain for the session.\n' }, 'parameters': [ { 'direction': 'in', 'documentation': { 'description': '\nIdentifies your instrument session. **vi** is obtained from the\nniFgen_init, nifgen_InitWithOptions, or nifgen_InitializeWithChannels\nfunctions and identifies a particular instrument session.\n' }, 'name': 'vi', 'type': 'ViSession' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the number of bytes in the ViChar array you specify for the\n**coercionRecord** parameter.\n\nIf the next coercion record string, including the terminating NUL byte,\ncontains more bytes than you indicate in this parameter, the function\ncopies **bufferSize** – 1 bytes into the buffer, places an ASCII NUL\nbyte at the end of the buffer, and returns the buffer size that you must\npass to get the entire value. For example, if the value is 123456 and\nthe buffer size is 4, the function places 123 into the buffer and\nreturns 7.\n\nIf you pass a negative number, the function copies the value to the\nbuffer regardless of the number of bytes in the value.\n\nIf you pass 0, you can pass VI_NULL for the **coercionRecord** buffer\nparameter.\n\n**Default Value**: None\n' }, 'name': 'bufferSize', 'type': 'ViInt32' }, { 'direction': 'out', 'documentation': { 'description': '\nReturns the next coercion record for the IVI session. If there are no\ncoercion records, the function returns an empty string.\n\nThe buffer must contain at least as many elements as the value you\nspecify with the **bufferSize** parameter. If the next coercion record\nstring, including the terminating NUL byte, contains more bytes than you\nindicate with the **bufferSize** parameter, the function copies\n**bufferSize** – 1 bytes into the buffer, places an ASCII NUL byte at\nthe end of the buffer, and returns the buffer size that you must pass to\nget the entire value. For example, if the value is "123456" and\n**bufferSize** is 4, the function places "123" into the buffer and\nreturns 7.\n\nThis parameter returns an empty string if no coercion records remain for\nthe session.\n' }, 'name': 'coercionRecord', 'type': 'ViChar[]' } ], 'returns': 'ViStatus' }, 'GetNextInterchangeWarning': { 'codegen_method': 'no', 'documentation': { 'description': '\nReturns the interchangeability warnings associated with the IVI session.\nIt retrieves and clears the oldest instance in which the class driver\nrecorded an interchangeability warning. Interchangeability warnings\nindicate that using your application with a different instrument might\ncause different behavior. Use this function to retrieve\ninterchangeability warnings.\n\nNI-FGEN performs interchangeability checking when the\nNIFGEN_ATTR_INTERCHANGE_CHECK attribute is set to VI_TRUE.\n\nThe function returns an empty string in the **interchangeWarning**\nparameter if no interchangeability warnings remain for the session.\n\nIn general, NI-FGEN generates interchangeability warnings when an\nattribute that affects the behavior of the instrument is in a state that\nyou did not specify.\n' }, 'parameters': [ { 'direction': 'in', 'documentation': { 'description': '\nIdentifies your instrument session. **vi** is obtained from the\nniFgen_init, nifgen_InitWithOptions, or nifgen_InitializeWithChannels\nfunctions and identifies a particular instrument session.\n' }, 'name': 'vi', 'type': 'ViSession' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the number of bytes in the ViChar array you specify for the\n**interchangeWarning** parameter.\n\nIf the next interchangeability warning string, including the terminating\nNUL byte, contains more bytes than you indicate in this parameter, the\nfunction copies **bufferSize** – 1 bytes into the buffer, places an\nASCII NUL byte at the end of the buffer, and returns the buffer size\nthat you must pass to get the entire value. For example, if the value is\n123456 and **bufferSize** is 4, the function places 123 into the buffer\nand returns 7.\n\nIf you pass a negative number, the function copies the value to the\nbuffer regardless of the number of bytes in the value.\n\nIf you pass 0, you can pass VI_NULL for the **interchangeWarning**\nbuffer parameter.\n\n**Default Value**: None\n' }, 'name': 'bufferSize', 'type': 'ViInt32' }, { 'direction': 'out', 'documentation': { 'description': '\nReturns the next interchange warning for the IVI session. If there are\nno interchange warnings, the function returns an empty string.\n\nThe buffer must contain at least as many elements as the value you\nspecify with the **bufferSize** parameter. If the next\ninterchangeability warning string, including the terminating NUL byte,\ncontains more bytes than you indicate with the **bufferSize** parameter,\nthe function copies **bufferSize** – 1 bytes into the buffer, places an\nASCII NUL byte at the end of the buffer, and returns the buffer size\nthat you must pass to get the entire value. For example, if the value is\n123456 and **bufferSize** is 4, the function places 123 into the buffer\nand returns 7.\n\nThis parameter returns an empty string if no interchangeability warnings\nremain for the session.\n' }, 'name': 'interchangeWarning', 'type': 'ViChar[]' } ], 'returns': 'ViStatus' }, 'GetSelfCalLastDateAndTime': { 'codegen_method': 'private', 'documentation': { 'description': '\nReturns the date and time of the last successful self-calibration.\n\nAll values are returned as separate parameters. Each parameter is\nreturned as an integer, including the year, month, day, hour, minute,\nand second. For example, if the device is calibrated in September 2013,\nthis function returns 9 for the **month** parameter and 2013 for the\n**year** parameter.\n\nThe time returned is 24-hour (military) local time. For example, if the\ndevice was calibrated at 2:30 PM, this function returns 14 for the\n**hours** parameter and 30 for the **minutes** parameter.\n' }, 'method_name_for_documentation': 'get_self_cal_last_date_and_time', 'parameters': [ { 'direction': 'in', 'documentation': { 'description': '\nIdentifies your instrument session. **vi** is obtained from the\nnifgen_init or the nifgen_InitExtCal function and identifies a\nparticular instrument session.\n' }, 'name': 'vi', 'type': 'ViSession' }, { 'direction': 'out', 'documentation': { 'description': 'Specifies the year of the last successful calibration.' }, 'name': 'year', 'type': 'ViInt32' }, { 'direction': 'out', 'documentation': { 'description': 'Specifies the month of the last successful calibration.' }, 'name': 'month', 'type': 'ViInt32' }, { 'direction': 'out', 'documentation': { 'description': 'Specifies the day of the last successful calibration.' }, 'name': 'day', 'type': 'ViInt32' }, { 'direction': 'out', 'documentation': { 'description': 'Specifies the hour of the last successful calibration.' }, 'name': 'hour', 'type': 'ViInt32' }, { 'direction': 'out', 'documentation': { 'description': 'Specifies the minute of the last successful calibration.' }, 'name': 'minute', 'type': 'ViInt32' } ], 'returns': 'ViStatus' }, 'GetSelfCalLastTemp': { 'documentation': { 'description': '\nReturns the temperature at the last successful self-calibration. The\ntemperature is returned in degrees Celsius.\n' }, 'parameters': [ { 'direction': 'in', 'documentation': { 'description': '\nIdentifies your instrument session. **vi** is obtained from the\nnifgen_init or the nifgen_InitExtCal function and identifies a\nparticular instrument session.\n' }, 'name': 'vi', 'type': 'ViSession' }, { 'direction': 'out', 'documentation': { 'description': '\nSpecifies the temperature at the last successful calibration in degrees\nCelsius.\n' }, 'name': 'temperature', 'type': 'ViReal64' } ], 'returns': 'ViStatus' }, 'GetSelfCalSupported': { 'documentation': { 'description': 'Returns whether the device supports self–calibration.' }, 'parameters': [ { 'direction': 'in', 'documentation': { 'description': '\nIdentifies your instrument session. **vi** is obtained from the\nnifgen_init or the nifgen_InitWithOptions function and identifies a\nparticular instrument session.\n' }, 'name': 'vi', 'type': 'ViSession' }, { 'direction': 'out', 'documentation': { 'description': '\nReturns whether the device supports self-calibration.\n\n****Defined Values****\n', 'table_body': [ [ 'VI_TRUE', 'Self–calibration is supported.' ], [ 'VI_FALSE', 'Self–calibration is not supported.' ] ] }, 'name': 'selfCalSupported', 'type': 'ViBoolean' } ], 'returns': 'ViStatus' }, 'GetStreamEndpointHandle': { 'codegen_method': 'no', 'documentation': { 'description': '\nReturns a reader endpoint handle that can be used with NI-P2P to\nconfigure a peer-to-peer stream with a signal generator endpoint.\n' }, 'parameters': [ { 'direction': 'in', 'documentation': { 'description': '\nIdentifies your instrument session. **vi** is obtained from the\nniFgen_init, nifgen_InitWithOptions, or nifgen_InitializeWithChannels\nfunctions and identifies a particular instrument session.\n' }, 'name': 'vi', 'type': 'ViSession' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the stream endpoint FIFO to configure. Refer to the\ndevice-specific documentation for peer-to-peer streaming in the *NI\nSignal Generators Help* for more information.\n' }, 'name': 'streamEndpoint', 'type': 'ViConstString' }, { 'direction': 'out', 'documentation': { 'description': '\nSpecifies the reader endpoint handle that is used with NI-P2P to create\na stream with the signal generator as an endpoint.\n' }, 'name': 'readerHandle', 'type': 'void' } ], 'returns': 'ViStatus' }, 'ImportAttributeConfigurationFile': { 'codegen_method': 'no', 'documentation': { 'description': 'TBD' }, 'parameters': [ { 'direction': 'in', 'name': 'vi', 'type': 'ViSession' }, { 'direction': 'in', 'name': 'filePath', 'type': 'ViConstString' } ], 'returns': 'ViStatus' }, 'InitExtCal': { 'codegen_method': 'no', 'documentation': { 'description': '\nCreates and initializes a special NI-FGEN external calibration session.\nThe ViSession returned is an NI-FGEN session that can be used to\nconfigure the device using normal attributes and functions. However,\nflags have been set that allow you to program an external calibration\nprocedure using the special calibration attributes and functions. The\nNI 5401/5404/5411/5431 have different calibration functions. Refer to\nthe nifgen_Related_Documentation for the signal generator for more\ninformation.\n' }, 'parameters': [ { 'direction': 'in', 'documentation': { 'caution': '\nTraditional NI-DAQ and NI-DAQmx device names are not case-sensitive.\nHowever, all IVI names, such as logical names, are case-sensitive. If\nyou use logical names, driver session names, or virtual names in your\nprogram, you must ensure that the name you use matches the name in the\nIVI Configuration Store file exactly, without any variations in the case\nof the characters.\n', 'description': '\n| Specifies the resource name of the device to initialize.\n\nFor Traditional NI-DAQ devices, the syntax is DAQ::\\ *n*, where *n* is\nthe device number assigned by MAX, as shown in Example 1.\n\nFor NI-DAQmx devices, the syntax is just the device name specified in\nMAX, as shown in Example 2. Typical default names for NI-DAQmx devices\nin MAX are Dev1 or PXI1Slot1. You can rename an NI-DAQmx device by\nright-clicking on the name in MAX and entering a new name.\n\nAn alternate syntax for NI-DAQmx devices consists of DAQ::\\ *NI-DAQmx\ndevice name*, as shown in Example 3. This naming convention allows for\nthe use of an NI-DAQmx device in an application that was originally\ndesigned for a Traditional NI-DAQ device. For example, if the\napplication expects DAQ::1, you can rename the NI-DAQmx device to 1 in\nMAX and pass in DAQ::1 for the resource name, as shown in Example 4.\n\nIf you use the DAQ::\\ *n* syntax and an NI-DAQmx device name already\nexists with that same name, the NI-DAQmx device is matched first.\n\nYou can also pass in the name of an IVI logical name or an IVI virtual\nname configured with the IVI Configuration utility, as shown in Example\n5. A logical name identifies a particular virtual instrument. A virtual\nname identifies a specific device and specifies the initial settings for\nthe session.\n', 'table_body': [ [ '1', 'Traditional NI-DAQ device', 'DAQ::\\ *1*', '(*1* = device number)' ], [ '2', 'NI-DAQmx device', '*myDAQmxDevice*', '(*myDAQmxDevice* = device name)' ], [ '3', 'NI-DAQmx device', 'DAQ::\\ *myDAQmxDevice*', '(*myDAQmxDevice* = device name)' ], [ '4', 'NI-DAQmx device', 'DAQ::\\ *2*', '(*2* = device name)' ], [ '5', 'IVI logical name or IVI virtual name', '*myLogicalName*', '(*myLogicalName* = name)' ] ], 'table_header': [ 'Example #', 'Device Type', 'Syntax', 'Variable' ] }, 'name': 'resourceName', 'type': 'ViRsrc' }, { 'direction': 'in', 'documentation': { 'description': '\nThe calibration password required to open an external calibration\nsession to the device.\n' }, 'name': 'password', 'type': 'ViConstString' }, { 'direction': 'out', 'documentation': { 'description': '\nReturns a session handle that you can use to identify the device in all\nsubsequent NI-FGEN function calls.\n' }, 'name': 'vi', 'type': 'ViSession' } ], 'returns': 'ViStatus' }, 'InitWithOptions': { 'codegen_method': 'no', 'documentation': { 'description': '\nPerforms the following initialization actions:\n\n- Creates a new IVI instrument session and optionally sets the initial\n state of the following session attributes:\n NIFGEN_ATTR_RANGE_CHECK, NIFGEN_ATTR_QUERY_INSTRUMENT_STATUS,\n NIFGEN_ATTR_CACHE, NIFGEN_ATTR_SIMULATE, and\n NIFGEN_ATTR_RECORD_COERCIONS.\n- Opens a session to the specified device using the interface and\n address that you specify for **resourceName**.\n- If **IDQuery** is set to VI_TRUE, this function queries the device\n ID and checks that it is valid for NI-FGEN.\n- If **resetDevice** is set to VI_TRUE, this function resets the\n device to a known state.\n- Sends initialization commands to set the instrument to the state\n necessary for NI-FGEN operation.\n- Returns a session handle that you can use to identify the device in\n all subsequent NI-FGEN function calls.\n' }, 'parameters': [ { 'direction': 'in', 'documentation': { 'caution': '\nTraditional NI-DAQ and NI-DAQmx device names are not case-sensitive.\nHowever, all IVI names, such as logical names, are case-sensitive. If\nyou use logical names, driver session names, or virtual names in your\nprogram, you must ensure that the name you use matches the name in the\nIVI Configuration Store file exactly, without any variations in the case\nof the characters.\n', 'description': '\n| Specifies the resource name of the device to initialize.\n\nFor Traditional NI-DAQ devices, the syntax is DAQ::\\ *n*, where *n* is\nthe device number assigned by MAX, as shown in Example 1.\n\nFor NI-DAQmx devices, the syntax is just the device name specified in\nMAX, as shown in Example 2. Typical default names for NI-DAQmx devices\nin MAX are Dev1 or PXI1Slot1. You can rename an NI-DAQmx device by\nright-clicking on the name in MAX and entering a new name.\n\nAn alternate syntax for NI-DAQmx devices consists of DAQ::\\ *NI-DAQmx\ndevice name*, as shown in Example 3. This naming convention allows for\nthe use of an NI-DAQmx device in an application that was originally\ndesigned for a Traditional NI-DAQ device. For example, if the\napplication expects DAQ::1, you can rename the NI-DAQmx device to 1 in\nMAX and pass in DAQ::1 for the resource name, as shown in Example 4.\n\nIf you use the DAQ::\\ *n* syntax and an NI-DAQmx device name already\nexists with that same name, the NI-DAQmx device is matched first.\n\nYou can also pass in the name of an IVI logical name or an IVI virtual\nname configured with the IVI Configuration utility, as shown in Example\n5. A logical name identifies a particular virtual instrument. A virtual\nname identifies a specific device and specifies the initial settings for\nthe session.\n', 'table_body': [ [ '1', 'Traditional NI-DAQ device', 'DAQ::\\ *1*', '(*1* = device number)' ], [ '2', 'NI-DAQmx device', '*myDAQmxDevice*', '(*myDAQmxDevice* = device name)' ], [ '3', 'NI-DAQmx device', 'DAQ::\\ *myDAQmxDevice*', '(*myDAQmxDevice* = device name)' ], [ '4', 'NI-DAQmx device', 'DAQ::\\ *2*', '(*2* = device name)' ], [ '5', 'IVI logical name or IVI virtual name', '*myLogicalName*', '(*myLogicalName* = name)' ] ], 'table_header': [ 'Example #', 'Device Type', 'Syntax', 'Variable' ] }, 'name': 'resourceName', 'type': 'ViRsrc' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies whether you want NI-FGEN to perform an ID query.\n\nWhen you set this parameter to VI_TRUE, NI-FGEN verifies that the\ndevice that you initialize is a type that it supports.\n\nCircumstances can arise where sending an ID query to the device is\nundesirable. When you set this parameter to VI_FALSE, the function\ninitializes the device without performing an ID query.\n\n****Defined Values****\n\n**Default Value**: VI_TRUE\n', 'table_body': [ [ 'VI_TRUE', 'Perform ID query' ], [ 'VI_FALSE', 'Skip ID query' ] ] }, 'name': 'idQuery', 'type': 'ViBoolean' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies whether you want to reset the device during the initialization\nprocedure. VI_TRUE specifies that the device is reset and performs the\nsame function as the nifgen_Reset function.\n\n****Defined Values****\n\n**Default Value**: VI_TRUE\n', 'table_body': [ [ 'VI_TRUE', 'Reset device' ], [ 'VI_FALSE', 'Do not reset device' ] ] }, 'name': 'resetDevice', 'type': 'ViBoolean' }, { 'direction': 'in', 'documentation': { 'description': '\nSets the initial value of certain session attributes.\n\nThe syntax for **optionString** is\n\n<*attributeName*> = <*value*>\n\nwhere\n\n*attributeName* is the name of the attribute and *value* is the value to\nwhich the attribute is set\n\nTo set multiple attributes, separate them with a comma.\n\nIf you pass NULL or an empty string for this parameter, the session uses\nthe default values for these attributes. You can override the default\nvalues by assigning a value explicitly in a string that you pass for\nthis parameter.\n\nYou do not have to specify all of the attributes and may leave any of\nthem out. However, if you do not specify one of the attributes, its\ndefault value is used.\n\nIf simulation is enabled (Simulate=1), you may specify the device that\nyou want to simulate. To specify a device, enter the following syntax in\n**optionString**.\n\nDriverSetup=Model:<*driver model number*>;Channels:<*channel\nnames*>;BoardType:<*module type*>;MemorySize:<*size of onboard memory in\nbytes*>\n\n**Syntax Examples**\n\n**Attributes and **Defined Values****\n\n**Default Values**: "Simulate=0,RangeCheck=1,QueryInstrStatus=1,Cache=1"\n', 'table_body': [ [ 'RangeCheck', 'NIFGEN_ATTR_RANGE_CHECK', 'VI_TRUE, VI_FALSE' ], [ 'QueryInstrStatus', 'NIFGEN_ATTR_QUERY_INSTRUMENT_STATUS', 'VI_TRUE, VI_FALSE' ], [ 'Cache', 'NIFGEN_ATTR_CACHE', 'VI_TRUE, VI_FALSE' ], [ 'Simulate', 'NIFGEN_ATTR_SIMULATE', 'VI_TRUE, VI_FALSE' ] ], 'table_header': [ 'Attribute Name', 'Attribute', 'Values' ] }, 'name': 'optionString', 'type': 'ViString' }, { 'direction': 'out', 'documentation': { 'description': '\nReturns a session handle that you can use to identify the device in all\nsubsequent NI-FGEN function calls.\n' }, 'name': 'vi', 'type': 'ViSession' } ], 'returns': 'ViStatus' }, 'InitializeAnalogOutputCalibration': { 'codegen_method': 'no', 'documentation': { 'description': 'Sets up the device to start the analog output calibration.' }, 'parameters': [ { 'direction': 'in', 'documentation': { 'description': '\nIdentifies your instrument session. **vi** is obtained from the\nnifgen_InitExtCal function and identifies a particular instrument\nsession.\n' }, 'name': 'vi', 'type': 'ViSession' } ], 'returns': 'ViStatus' }, 'InitializeCalAdcCalibration': { 'codegen_method': 'no', 'documentation': { 'description': '\nInitializes an external calibration session for ADC calibration. For the\nNI 5421/5422/5441, ADC calibration involves characterizing the gain and\noffset of the onboard ADC.\n' }, 'parameters': [ { 'direction': 'in', 'documentation': { 'description': '\nIdentifies your instrument session. **vi** is obtained from the\nnifgen_InitExtCal function and identifies a particular instrument\nsession.\n' }, 'name': 'vi', 'type': 'ViSession' } ], 'returns': 'ViStatus' }, 'InitializeFlatnessCalibration': { 'codegen_method': 'no', 'documentation': { 'description': 'Initializes an external calibration session to calibrate flatness.' }, 'parameters': [ { 'direction': 'in', 'documentation': { 'description': '\nIdentifies your instrument session. **vi** is obtained from the\nnifgen_InitExtCal function and identifies a particular instrument\nsession.\n' }, 'name': 'vi', 'type': 'ViSession' } ], 'returns': 'ViStatus' }, 'InitializeOscillatorFrequencyCalibration': { 'codegen_method': 'no', 'documentation': { 'description': '\nSets up the device to start the VCXO calibration.\n\nThe session handle should be the handle returned by the\nnifgen_InitExtCal function.\n' }, 'parameters': [ { 'direction': 'in', 'documentation': { 'description': '\nIdentifies your instrument session. **vi** is obtained from the\nnifgen_InitExtCal function and identifies a particular instrument\nsession.\n' }, 'name': 'vi', 'type': 'ViSession' } ], 'returns': 'ViStatus' }, 'InitializeWithChannels': { 'codegen_method': 'private', 'documentation': { 'description': '\nCreates and returns a new NI-FGEN session to the specified channel of a\nwaveform generator that is used in all subsequent NI-FGEN function\ncalls.\n' }, 'method_name_for_documentation': '__init__', 'parameters': [ { 'direction': 'in', 'documentation': { 'caution': '\nTraditional NI-DAQ and NI-DAQmx device names are not case-sensitive.\nHowever, all IVI names, such as logical names, are case-sensitive. If\nyou use logical names, driver session names, or virtual names in your\nprogram, you must ensure that the name you use matches the name in the\nIVI Configuration Store file exactly, without any variations in the case\nof the characters.\n', 'description': '\n| Specifies the resource name of the device to initialize.\n\nFor Traditional NI-DAQ devices, the syntax is DAQ::\\ *n*, where *n* is\nthe device number assigned by MAX, as shown in Example 1.\n\nFor NI-DAQmx devices, the syntax is just the device name specified in\nMAX, as shown in Example 2. Typical default names for NI-DAQmx devices\nin MAX are Dev1 or PXI1Slot1. You can rename an NI-DAQmx device by\nright-clicking on the name in MAX and entering a new name.\n\nAn alternate syntax for NI-DAQmx devices consists of DAQ::\\ *NI-DAQmx\ndevice name*, as shown in Example 3. This naming convention allows for\nthe use of an NI-DAQmx device in an application that was originally\ndesigned for a Traditional NI-DAQ device. For example, if the\napplication expects DAQ::1, you can rename the NI-DAQmx device to 1 in\nMAX and pass in DAQ::1 for the resource name, as shown in Example 4.\n\nIf you use the DAQ::\\ *n* syntax and an NI-DAQmx device name already\nexists with that same name, the NI-DAQmx device is matched first.\n\nYou can also pass in the name of an IVI logical name or an IVI virtual\nname configured with the IVI Configuration utility, as shown in Example\n5. A logical name identifies a particular virtual instrument. A virtual\nname identifies a specific device and specifies the initial settings for\nthe session.\n', 'table_body': [ [ '1', 'Traditional NI-DAQ device', 'DAQ::\\ *1*', '(*1* = device number)' ], [ '2', 'NI-DAQmx device', '*myDAQmxDevice*', '(*myDAQmxDevice* = device name)' ], [ '3', 'NI-DAQmx device', 'DAQ::\\ *myDAQmxDevice*', '(*myDAQmxDevice* = device name)' ], [ '4', 'NI-DAQmx device', 'DAQ::\\ *2*', '(*2* = device name)' ], [ '5', 'IVI logical name or IVI virtual name', '*myLogicalName*', '(*myLogicalName* = name)' ] ], 'table_header': [ 'Example #', 'Device Type', 'Syntax', 'Variable' ] }, 'name': 'resourceName', 'type': 'ViRsrc' }, { 'default_value': None, 'direction': 'in', 'documentation': { 'description': '\nSpecifies the channel that this VI uses.\n\n**Default Value**: "0"\n' }, 'is_repeated_capability': False, 'name': 'channelName', 'python_api_converter_name': 'convert_repeated_capabilities_from_init', 'type': 'ViString', 'type_in_documentation': 'str, list, range, tuple' }, { 'default_value': False, 'direction': 'in', 'documentation': { 'description': '\nSpecifies whether you want to reset the device during the initialization\nprocedure. VI_TRUE specifies that the device is reset and performs the\nsame function as the nifgen_Reset function.\n\n****Defined Values****\n\n**Default Value**: VI_FALSE\n', 'table_body': [ [ 'VI_TRUE', 'Reset device' ], [ 'VI_FALSE', 'Do not reset device' ] ] }, 'name': 'resetDevice', 'type': 'ViBoolean' }, { 'default_value': '""', 'direction': 'in', 'documentation': { 'description': '\nSets the initial value of certain session attributes.\n\nThe syntax for **optionString** is\n\n<*attributeName*> = <*value*>\n\nwhere\n\n*attributeName* is the name of the attribute and *value* is the value to\nwhich the attribute is set\n\nTo set multiple attributes, separate them with a comma.\n\nIf you pass NULL or an empty string for this parameter, the session uses\nthe default values for these attributes. You can override the default\nvalues by assigning a value explicitly in a string that you pass for\nthis parameter.\n\nYou do not have to specify all of the attributes and may leave any of\nthem out. However, if you do not specify one of the attributes, its\ndefault value is used.\n\nIf simulation is enabled (Simulate=1), you may specify the device that\nyou want to simulate. To specify a device, enter the following syntax in\n**optionString**.\n\nDriverSetup=Model:<*driver model number*>;Channels:<*channel\nnames*>;BoardType:<*module type*>;MemorySize:<*size of onboard memory in\nbytes*>\n\n**Syntax Examples**\n\n**Attributes and **Defined Values****\n\n**Default Values**: "Simulate=0,RangeCheck=1,QueryInstrStatus=1,Cache=1"\n', 'table_body': [ [ 'RangeCheck', 'NIFGEN_ATTR_RANGE_CHECK', 'VI_TRUE, VI_FALSE' ], [ 'QueryInstrStatus', 'NIFGEN_ATTR_QUERY_INSTRUMENT_STATUS', 'VI_TRUE, VI_FALSE' ], [ 'Cache', 'NIFGEN_ATTR_CACHE', 'VI_TRUE, VI_FALSE' ], [ 'Simulate', 'NIFGEN_ATTR_SIMULATE', 'VI_TRUE, VI_FALSE' ] ], 'table_header': [ 'Attribute Name', 'Attribute', 'Values' ] }, 'name': 'optionString', 'python_api_converter_name': 'convert_init_with_options_dictionary', 'type': 'ViString', 'type_in_documentation': 'dict' }, { 'direction': 'out', 'documentation': { 'description': '\nReturns a session handle that you can use to identify the device in all\nsubsequent NI-FGEN function calls.\n' }, 'name': 'vi', 'type': 'ViSession' } ], 'returns': 'ViStatus', 'use_session_lock': False }, 'InitiateGeneration': { 'codegen_method': 'private', 'documentation': { 'description': '\nInitiates signal generation. If you want to abort signal generation,\ncall the nifgen_AbortGeneration function. After the signal generation\nis aborted, you can call the niFgen_InitiateGeneration function to\ncause the signal generator to produce a signal again.\n' }, 'method_name_for_documentation': 'initiate', 'parameters': [ { 'direction': 'in', 'documentation': { 'description': '\nIdentifies your instrument session. **vi** is obtained from the\nniFgen_init, nifgen_InitWithOptions, or nifgen_InitializeWithChannels\nfunctions and identifies a particular instrument session.\n' }, 'name': 'vi', 'type': 'ViSession' } ], 'returns': 'ViStatus' }, 'InvalidateAllAttributes': { 'codegen_method': 'no', 'documentation': { 'description': 'TBD' }, 'parameters': [ { 'direction': 'in', 'name': 'vi', 'type': 'ViSession' } ], 'returns': 'ViStatus' }, 'IsDone': { 'documentation': { 'description': '\nDetermines whether the current generation is complete. This function\nsets the **done** parameter to VI_TRUE if the session is in the Idle or\nCommitted states.\n', 'note': '\nNI-FGEN only reports the **done** parameter as VI_TRUE after the\ncurrent generation is complete in Single trigger mode.\n' }, 'parameters': [ { 'direction': 'in', 'documentation': { 'description': '\nIdentifies your instrument session. **vi** is obtained from the\nniFgen_init, nifgen_InitWithOptions, or nifgen_InitializeWithChannels\nfunctions and identifies a particular instrument session.\n' }, 'name': 'vi', 'type': 'ViSession' }, { 'direction': 'out', 'documentation': { 'description': '\nReturns information about the completion of waveform generation.\n\n**Defined Values**\n', 'table_body': [ [ 'VI_TRUE', 'Generation is complete.' ], [ 'VI_FALSE', 'Generation is not complete.' ] ] }, 'name': 'done', 'type': 'ViBoolean' } ], 'returns': 'ViStatus' }, 'LockSession': { 'documentation': { 'description': '\nObtains a multithread lock on the instrument session. Before it does so,\nthis function waits until all other execution threads have released\ntheir locks on the instrument session.\n\nOther threads might have obtained a lock on this session in the\nfollowing ways:\n\n- Your application called the niFgen_LockSession function.\n- A call to the NI-FGEN locked the session.\n- A call to the IVI Engine locked the session.\n\nAfter your call to the niFgen_LockSession function returns\nsuccessfully, no other threads can access the instrument session until\nyou call the nifgen_UnlockSession function.\n\nUse the niFgen_LockSession function and the niFgen_UnlockSession\nfunction around a sequence of calls to NI-FGEN functions if you require\nthat the instrument retain its settings through the end of the sequence.\n\nYou can safely make nested calls to the niFgen_LockSession function\nwithin the same thread. To completely unlock the session, you must\nbalance each call to the niFgen_LockSession function with a call to the\nniFgen_UnlockSession function. If, however, you use the\n**callerHasLock** parameter in all calls to the niFgen_LockSession\nfunction and the niFgen_UnlockSession function within a function, the\nIVI Engine locks the session only once within the function regardless of\nthe number of calls you make to the niFgen_LockSession function. This\nconfiguration allows you to call the niFgen_UnlockSession function just\nonce at the end of the function.\n' }, 'method_templates': [ { 'documentation_filename': 'lock', 'method_python_name_suffix': '', 'session_filename': 'lock' } ], 'parameters': [ { 'direction': 'in', 'documentation': { 'description': '\nIdentifies your instrument session. **vi** is obtained from the\nniFgen_init, nifgen_InitWithOptions, or nifgen_InitializeWithChannels\nfunctions and identifies a particular instrument session.\n' }, 'name': 'vi', 'type': 'ViSession' }, { 'direction': 'out', 'documentation': { 'description': '\nKeeps track of whether you obtained a lock and therefore need to unlock\nthe session. Pass the address of a local ViBoolean variable. In the\ndeclaration of the local variable, initialize it to VI_FALSE. Pass the\naddress of the same local variable to any other calls you make to the\nniFgen_LockSession function or the nifgen_UnlockSession function in\nthe same function.\n\nThis parameter serves as a convenience. If you do not want to use this\nparameter, pass VI_NULL.\n\nThis parameter is an input/output parameter. The niFgen_LockSession\nfunction and the niFgen_UnlockSession function each inspect the current\nvalue and take the following actions:\n\n- If the value is VI_TRUE, the niFgen_LockSession function does not\n lock the session again. If the value is VI_FALSE, the\n niFgen_LockSession function obtains the lock and sets the value of\n the parameter to VI_TRUE.\n- If the value is VI_FALSE, the niFgen_UnlockSession function does\n not attempt to unlock the session. If the value is VI_TRUE, the\n niFgen_UnlockSession function releases the lock and sets the value\n of the parameter to VI_FALSE.\n\nThus, you can call the niFgen_UnlockSession function at the end of your\nfunction without worrying about whether you actually have the lock.\n\nExample:\n\nViStatus TestFunc (ViSession vi, ViInt32 flags)\n{\n\nViStatus error = VI_SUCCESS;\nViBoolean haveLock = VI_FALSE;\nif (flags & BIT_1)\n{\n\nviCheckErr( niFgen_LockSession(vi, &haveLock;));\nviCheckErr( TakeAction1(vi));\nif (flags & BIT_2)\n{\n\n viCheckErr( niFgen_UnlockSession(vi, &haveLock;));\nviCheckErr( TakeAction2(vi));\nviCheckErr( niFgen_LockSession(vi, &haveLock;);\n\n}\nif (flags & BIT_3)\n\n viCheckErr( TakeAction3(vi));\n\n}\n\nError:\n\n| \n\n/\\*\nAt this point, you cannot really be sure that\nyou have the lock. Fortunately, the haveLock\nvariable takes care of that for you.\n\\*/\nniFgen_UnlockSession(vi, &haveLock;);\nreturn error;\n\n| }\n' }, 'name': 'callerHasLock', 'type': 'ViBoolean' } ], 'python_name': 'lock', 'render_in_session_base': True, 'returns': 'ViStatus', 'use_session_lock': False }, 'ManualEnableP2PStream': { 'codegen_method': 'no', 'documentation': { 'description': 'Enables a peer-to-peer data stream using manual flow control.' }, 'parameters': [ { 'direction': 'in', 'documentation': { 'description': '\nIdentifies your instrument session. **vi** is obtained from the\nniFgen_init, nifgen_InitWithOptions, or nifgen_InitializeWithChannels\nfunctions and identifies a particular instrument session.\n' }, 'name': 'vi', 'type': 'ViSession' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the stream endpoint FIFO to configure. Refer to the\n`Peer-to-Peer Data\nStreaming <REPLACE_DRIVER_SPECIFIC_URL_2(p2p_streaming)>`__\ndocumentation in the *NI Signal Generators Help* for more information.\n' }, 'name': 'endpointName', 'type': 'ViConstString' } ], 'returns': 'ViStatus' }, 'QueryArbSeqCapabilities': { 'documentation': { 'description': '\nReturns the attributes of the signal generator that are related to\ncreating arbitrary sequences (the NIFGEN_ATTR_MAX_NUM_SEQUENCES,\nNIFGEN_ATTR_MIN_SEQUENCE_LENGTH,\nNIFGEN_ATTR_MAX_SEQUENCE_LENGTH, and NIFGEN_ATTR_MAX_LOOP_COUNT\nattributes).\n' }, 'parameters': [ { 'direction': 'in', 'documentation': { 'description': '\nIdentifies your instrument session. **vi** is obtained from the\nniFgen_init, nifgen_InitWithOptions, or nifgen_InitializeWithChannels\nfunctions and identifies a particular instrument session.\n' }, 'name': 'vi', 'type': 'ViSession' }, { 'direction': 'out', 'documentation': { 'description': '\nReturns the maximum number of arbitrary waveform sequences that the\nsignal generator allows. NI-FGEN obtains this value from the\nNIFGEN_ATTR_MAX_NUM_SEQUENCES attribute.\n' }, 'name': 'maximumNumberOfSequences', 'type': 'ViInt32' }, { 'direction': 'out', 'documentation': { 'description': '\nReturns the minimum number of arbitrary waveforms the signal generator\nallows in a sequence. NI-FGEN obtains this value from the\nNIFGEN_ATTR_MIN_SEQUENCE_LENGTH attribute.\n' }, 'name': 'minimumSequenceLength', 'type': 'ViInt32' }, { 'direction': 'out', 'documentation': { 'description': '\nReturns the maximum number of arbitrary waveforms the signal generator\nallows in a sequence. NI-FGEN obtains this value from the\nNIFGEN_ATTR_MAX_SEQUENCE_LENGTH attribute.\n' }, 'name': 'maximumSequenceLength', 'type': 'ViInt32' }, { 'direction': 'out', 'documentation': { 'description': '\nReturns the maximum number of times the signal generator can repeat an\narbitrary waveform in a sequence. NI-FGEN obtains this value from the\nNIFGEN_ATTR_MAX_LOOP_COUNT attribute.\n' }, 'name': 'maximumLoopCount', 'type': 'ViInt32' } ], 'returns': 'ViStatus' }, 'QueryArbWfmCapabilities': { 'documentation': { 'description': '\nReturns the attributes of the signal generator that are related to\ncreating arbitrary waveforms. These attributes are the maximum number of\nwaveforms, waveform quantum, minimum waveform size, and maximum waveform\nsize.\n', 'note': '\nIf you do not want to obtain the waveform quantum, pass a value of\nVI_NULL for this parameter.\n' }, 'parameters': [ { 'direction': 'in', 'documentation': { 'description': '\nIdentifies your instrument session. **vi** is obtained from the\nniFgen_init, nifgen_InitWithOptions, or nifgen_InitializeWithChannels\nfunctions and identifies a particular instrument session.\n' }, 'name': 'vi', 'type': 'ViSession' }, { 'direction': 'out', 'documentation': { 'description': '\nReturns the maximum number of arbitrary waveforms that the signal\ngenerator allows. NI-FGEN obtains this value from the\nNIFGEN_ATTR_MAX_NUM_WAVEFORMS attribute.\n' }, 'name': 'maximumNumberOfWaveforms', 'type': 'ViInt32' }, { 'direction': 'out', 'documentation': { 'description': '\nThe size (number of points) of each waveform must be a multiple of a\nconstant quantum value. This parameter obtains the quantum value that\nthe signal generator uses. NI-FGEN returns this value from the\nNIFGEN_ATTR_WAVEFORM_QUANTUM attribute.\n\nFor example, when this attribute returns a value of 8, all waveform\nsizes must be a multiple of 8.\n' }, 'name': 'waveformQuantum', 'type': 'ViInt32' }, { 'direction': 'out', 'documentation': { 'description': '\nReturns the minimum number of points that the signal generator allows in\na waveform. NI-FGEN obtains this value from the\nNIFGEN_ATTR_MIN_WAVEFORM_SIZE attribute.\n' }, 'name': 'minimumWaveformSize', 'type': 'ViInt32' }, { 'direction': 'out', 'documentation': { 'description': '\nReturns the maximum number of points that the signal generator allows in\na waveform. NI-FGEN obtains this value from the\nNIFGEN_ATTR_MAX_WAVEFORM_SIZE attribute.\n' }, 'name': 'maximumWaveformSize', 'type': 'ViInt32' } ], 'returns': 'ViStatus' }, 'QueryFreqListCapabilities': { 'documentation': { 'description': '\nReturns the attributes of the signal generator that are related to\ncreating frequency lists. These attributes are\nNIFGEN_ATTR_MAX_NUM_FREQ_LISTS,\nNIFGEN_ATTR_MIN_FREQ_LIST_LENGTH,\nNIFGEN_ATTR_MAX_FREQ_LIST_LENGTH,\nNIFGEN_ATTR_MIN_FREQ_LIST_DURATION,\nNIFGEN_ATTR_MAX_FREQ_LIST_DURATION, and\nNIFGEN_ATTR_FREQ_LIST_DURATION_QUANTUM.\n' }, 'parameters': [ { 'direction': 'in', 'documentation': { 'description': '\nIdentifies your instrument session. **vi** is obtained from the\nniFgen_init, nifgen_InitWithOptions, or nifgen_InitializeWithChannels\nfunctions and identifies a particular instrument session.\n' }, 'name': 'vi', 'type': 'ViSession' }, { 'direction': 'out', 'documentation': { 'description': '\nReturns the maximum number of frequency lists that the signal generator\nallows. NI-FGEN obtains this value from the\nNIFGEN_ATTR_MAX_NUM_FREQ_LISTS attribute.\n' }, 'name': 'maximumNumberOfFreqLists', 'type': 'ViInt32' }, { 'direction': 'out', 'documentation': { 'description': '\nReturns the minimum number of steps that the signal generator allows in\na frequency list. NI-FGEN obtains this value from the\nNIFGEN_ATTR_MIN_FREQ_LIST_LENGTH attribute.\n' }, 'name': 'minimumFrequencyListLength', 'type': 'ViInt32' }, { 'direction': 'out', 'documentation': { 'description': '\nReturns the maximum number of steps that the signal generator allows in\na frequency list. NI-FGEN obtains this value from the\nNIFGEN_ATTR_MAX_FREQ_LIST_LENGTH attribute.\n' }, 'name': 'maximumFrequencyListLength', 'type': 'ViInt32' }, { 'direction': 'out', 'documentation': { 'description': '\nReturns the minimum duration that the signal generator allows in a step\nof a frequency list. NI-FGEN obtains this value from the\nNIFGEN_ATTR_MIN_FREQ_LIST_DURATION attribute.\n' }, 'name': 'minimumFrequencyListDuration', 'type': 'ViReal64' }, { 'direction': 'out', 'documentation': { 'description': '\nReturns the maximum duration that the signal generator allows in a step\nof a frequency list. NI-FGEN obtains this value from the\nNIFGEN_ATTR_MAX_FREQ_LIST_DURATION attribute.\n' }, 'name': 'maximumFrequencyListDuration', 'type': 'ViReal64' }, { 'direction': 'out', 'documentation': { 'description': '\nReturns the quantum of which all durations must be a multiple in a\nfrequency list. NI-FGEN obtains this value from the\nNIFGEN_ATTR_FREQ_LIST_DURATION_QUANTUM attribute.\n' }, 'name': 'frequencyListDurationQuantum', 'type': 'ViReal64' } ], 'returns': 'ViStatus' }, 'ReadCalAdc': { 'codegen_method': 'no', 'documentation': { 'description': '\nTakes one or more voltage measurements from the onboard calibration ADC\nand returns the value or the average value. The signal that the ADC\nactually measures can be specified using the\nNIFGEN_ATTR_CAL_ADC_INPUT attribute. The ADC has some inherent gain\nand offset. These values can be determined during an external\ncalibration session and stored in the calibration EEPROM.\n\nIf the **returnCalibratedValue** parameter is VI_TRUE, NI-FGEN adjusts\nthe value that is returned to account for the gain and offset of the\nADC. Otherwise, the raw voltage value reported by the ADC is returned.\n' }, 'parameters': [ { 'direction': 'in', 'documentation': { 'description': '\nIdentifies your instrument session. **vi** is obtained from the\nnifgen_init or the nifgen_InitExtCal function and identifies a\nparticular instrument session.\n' }, 'name': 'vi', 'type': 'ViSession' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the number of measurements to be taken and averaged to\ndetermine the return value.\n' }, 'name': 'numberOfReadsToAverage', 'type': 'ViInt32' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies whether the voltage returned from the ADC should be adjusted\nto account for the gain and offset of the ADC.\n' }, 'name': 'returnCalibratedValue', 'type': 'ViBoolean' }, { 'direction': 'out', 'documentation': { 'description': '\nSpecifies the average of the voltage measurements taken from the onboard\ncalibration ADC.\n' }, 'name': 'calAdcValue', 'type': 'ViReal64' } ], 'returns': 'ViStatus' }, 'ReadCurrentTemperature': { 'documentation': { 'description': '\nReads the current onboard temperature of the device. The temperature is\nreturned in degrees Celsius.\n' }, 'parameters': [ { 'direction': 'in', 'documentation': { 'description': '\nIdentifies your instrument session. **vi** is obtained from the\nnifgen_init or the nifgen_InitExtCal function and identifies a\nparticular instrument session.\n' }, 'name': 'vi', 'type': 'ViSession' }, { 'direction': 'out', 'documentation': { 'description': '\nReturns the current temperature read from onboard temperature sensors,\nin degrees Celsius.\n' }, 'name': 'temperature', 'type': 'ViReal64' } ], 'returns': 'ViStatus' }, 'ResetAttribute': { 'codegen_method': 'no', 'documentation': { 'description': 'Resets the attribute to its default value.' }, 'parameters': [ { 'direction': 'in', 'documentation': { 'description': '\nIdentifies your instrument session. **vi** is obtained from the\nniFgen_init, nifgen_InitWithOptions, or nifgen_InitializeWithChannels\nfunctions and identifies a particular instrument session.\n' }, 'name': 'vi', 'type': 'ViSession' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the name of the channel on which to check the attribute value\nif the attribute is channel-based. If the attribute is not\nchannel-based, then pass VI_NULL or an empty string ("").\n\n**Default Value**: "" (empty string)\n' }, 'name': 'channelName', 'type': 'ViConstString' }, { 'direction': 'in', 'documentation': { 'description': 'Specifies the ID of an attribute.' }, 'name': 'attributeId', 'type': 'ViAttr' } ], 'returns': 'ViStatus' }, 'ResetDevice': { 'documentation': { 'description': '\nPerforms a hard reset on the device. Generation is stopped, all routes\nare released, external bidirectional terminals are tristated, FPGAs are\nreset, hardware is configured to its default state, and all session\nattributes are reset to their default states.\n' }, 'parameters': [ { 'direction': 'in', 'documentation': { 'description': '\nIdentifies your instrument session. **vi** is obtained from the\nniFgen_init, nifgen_InitWithOptions, or nifgen_InitializeWithChannels\nfunctions and identifies a particular instrument session.\n' }, 'name': 'vi', 'type': 'ViSession' } ], 'returns': 'ViStatus' }, 'ResetInterchangeCheck': { 'codegen_method': 'no', 'documentation': { 'description': '\nThis function tests the current test module for dependencies on the\noperation of previously executed test modules. If your module depends on\nthe operation of previous modules, your test system has less\nflexibility.\n\nWhen developing a complex test system that consists of multiple test\nmodules, NI recommends that you design the test modules so that they can\nrun in any order. To do so, ensure that each test module completely\nconfigures the state of each instrument it uses. If a particular test\nmodule does not completely configure the state of an instrument, the\nstate of the instrument depends on the configuration from a previously\nexecuted test module. If you execute the test modules in a different\norder, the behavior of the instrument and the test module may change.\nThis change in behavior is generally instrument specific and represents\nan interchangeability problem.\n\nAfter you call this function, the interchangeability checking algorithms\nin the specific driver ignore all previous configuration operations. By\ncalling this function at the beginning of a test module, you can\ndetermine whether the test module has dependencies on the operation of\npreviously executed test modules.\n\nThis function does not clear the interchangeability warnings from the\nlist of previously recorded interchangeability warnings. If you want to\nguarantee that the nifgen_GetNextInterchangeWarning function only\nreturns those interchangeability warnings that are generated after\ncalling this function, you must clear the list of interchangeability\nwarnings. You can clear the interchangeability warnings list by\nrepeatedly calling the niFgen_GetNextInterchangeWarning function until\nno more interchangeability warnings are returned. If you are not\ninterested in the content of those warnings, you can call the\nnifgen_ClearInterchangeWarnings function.\n' }, 'parameters': [ { 'direction': 'in', 'documentation': { 'description': '\nIdentifies your instrument session. **vi** is obtained from the\nniFgen_init, nifgen_InitWithOptions, or nifgen_InitializeWithChannels\nfunctions and identifies a particular instrument session.\n' }, 'name': 'vi', 'type': 'ViSession' } ], 'returns': 'ViStatus' }, 'ResetWithDefaults': { 'documentation': { 'description': '\nResets the instrument and reapplies initial user–specified settings from\nthe logical name that was used to initialize the session. If the session\nwas created without a logical name, this function is equivalent to the\nnifgen_reset function.\n' }, 'parameters': [ { 'direction': 'in', 'documentation': { 'description': '\nIdentifies your instrument session. **vi** is obtained from the\nniFgen_init, nifgen_InitWithOptions, or nifgen_InitializeWithChannels\nfunctions and identifies a particular instrument session.\n' }, 'name': 'vi', 'type': 'ViSession' } ], 'returns': 'ViStatus' }, 'RestoreLastExtCalConstants': { 'codegen_method': 'no', 'documentation': { 'description': '\nOverwrites the current calibration constants with those from the last\nsuccessful external calibration. This action effectively undoes any\nself-calibrations performed since the last time an external calibration\nwas performed. This function should be used if a self-calibration\nproduced invalid calibration constants.\n' }, 'parameters': [ { 'direction': 'in', 'documentation': { 'description': '\nIdentifies your instrument session. **vi** is obtained from the\nnifgen_InitExtCal function and identifies a particular instrument\nsession.\n' }, 'name': 'vi', 'type': 'ViSession' } ], 'returns': 'ViStatus' }, 'RouteSignalOut': { 'codegen_method': 'no', 'documentation': { 'description': '\nRoutes various signals in the signal generator to the RTSI lines and\nfront panel terminals.\n', 'note': '\nThe signal generator must not be in the Generating state when you call\nthis function.\n', 'table_body': [ [ ' ', 'You can clear a previously routed signal by routing NIFGEN_VAL_NONE to the destination terminal.' ] ] }, 'parameters': [ { 'direction': 'in', 'documentation': { 'description': '\nIdentifies your instrument session. **vi** is obtained from the\nniFgen_init, nifgen_InitWithOptions, or nifgen_InitializeWithChannels\nfunctions and identifies a particular instrument session.\n' }, 'name': 'vi', 'type': 'ViSession' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the channel name for which you want to route a signal.\n\n**Default Value**: "0"\n' }, 'name': 'channelName', 'type': 'ViConstString' }, { 'direction': 'in', 'documentation': { 'description': '\nVarious signals can be routed out the RTSI lines.\n\n****Defined Values****\n', 'table_body': [ [ 'NIFGEN_VAL_NONE', 'Nothing Sending this value clears the line.' ], [ 'NIFGEN_VAL_MARKER', 'Marker Event' ], [ 'NIFGEN_VAL_SYNC_OUT', 'SYNC signal This signal normally appears on the SYNC OUT front panel connector.' ], [ 'NIFGEN_VAL_OUT_START_TRIGGER', 'Start Trigger The Start Trigger is normally generated at the start of the sequence. Call the nifgen_ConfigureTriggerSource function to receive this trigger.' ], [ 'NIFGEN_VAL_BOARD_CLOCK', 'Signal generator board clock The signal generator board clock is 20 MHz for the NI PCI-5401/5411/5431. The NI PXI-5404 has a 20 MHz board clock, and the NI PXI-5421 has integer divisors of 100 MHz. The NI PXI-5401/5411/5431 does not support routing a Board Clock to RTSI lines or front panel connectors.' ], [ 'NIFGEN_VAL_SYNCHRONIZATION', 'Synchronization strobe A synchronization strobe is used to guarantee absolute synchronization between two or more signal generators. Call the nifgen_ConfigureSynchronization function to receive the strobe.' ], [ 'NIFGEN_VAL_SOFTWARE_TRIG', 'Software trigger' ], [ 'NIFGEN_VAL_OUT_UPDATE', '—' ], [ 'NIFGEN_VAL_REF_OUT', 'Reference Clock out front panel connector' ], [ 'NIFGEN_VAL_PXI_CLK10', 'PXI 10 MHz backplane Reference Clock' ], [ 'NIFGEN_VAL_PXI_STAR', 'PXI star trigger line' ], [ 'NIFGEN_VAL_PFI_0', 'PFI 0' ], [ 'NIFGEN_VAL_RTSI_0', 'RTSI 0 or PXI_Trig 0' ], [ 'NIFGEN_VAL_RTSI_1', 'RTSI 1 or PXI_Trig 1' ], [ 'NIFGEN_VAL_RTSI_2', 'RTSI 2 or PXI_Trig 2' ], [ 'NIFGEN_VAL_RTSI_3', 'RTSI 3 or PXI_Trig 3' ], [ 'NIFGEN_VAL_RTSI_4', 'RTSI 4 or PXI_Trig 4' ], [ 'NIFGEN_VAL_RTSI_5', 'RTSI 5 or PXI_Trig 5' ], [ 'NIFGEN_VAL_RTSI_6', 'RTSI 6 or PXI_Trig 6' ], [ 'NIFGEN_VAL_RTSI_7', 'RTSI 7 or PXI_Trig 7' ], [ 'NIFGEN_VAL_REF_CLOCK_RTSI_CLOCK', 'RTSI clock' ], [ 'NIFGEN_VAL_ONBOARD_REFERENCE_CLOCK', 'Onboard Reference Clock' ], [ 'NIFGEN_VAL_UPDATE_CLOCK', 'Sample Clock' ], [ 'NIFGEN_VAL_PLL_REF_SOURCE', 'PLL Reference Clock' ] ] }, 'name': 'routeSignalFrom', 'type': 'ViInt32' }, { 'direction': 'in', 'documentation': { 'description': '\nThe possible RTSI lines to which you can route a signal.\n\n****Defined Values****\n', 'table_body': [ [ 'NIFGEN_VAL_RTSI_0', 'RTSI 0 or PXI_Trig 0' ], [ 'NIFGEN_VAL_RTSI_1', 'RTSI 1 or PXI_Trig 1' ], [ 'NIFGEN_VAL_RTSI_2', 'RTSI 2 or PXI_Trig 2' ], [ 'NIFGEN_VAL_RTSI_3', 'RTSI 3 or PXI_Trig 3' ], [ 'NIFGEN_VAL_RTSI_4', 'RTSI 4 or PXI_Trig 4' ], [ 'NIFGEN_VAL_RTSI_5', 'RTSI 5 or PXI_Trig 5' ], [ 'NIFGEN_VAL_RTSI_6', 'RTSI 6 or PXI_Trig 6' ], [ 'NIFGEN_VAL_RTSI_7', 'RTSI 7 or PXI_Trig 7' ], [ 'NIFGEN_VAL_REF_CLOCK_RTSI_CLOCK', 'RTSI clock' ], [ 'NIFGEN_VAL_REF_OUT', 'Reference Clock out front panel connector' ], [ 'NIFGEN_VAL_PFI_0', 'PFI 0' ], [ 'NIFGEN_VAL_PFI_1', 'PFI 1' ], [ 'NIFGEN_VAL_PFI_4', 'PFI 4' ], [ 'NIFGEN_VAL_PFI_5', 'PFI 5' ], [ 'NIFGEN_VAL_PXI_STAR', 'PXI star trigger line' ], [ 'NIFGEN_VAL_PXI_CLK10', 'PXI 10 MHz backplane Reference Clock' ] ] }, 'name': 'routeSignalTo', 'type': 'ViInt32' } ], 'returns': 'ViStatus' }, 'SelfCal': { 'documentation': { 'description': '\nPerforms a full internal self-calibration on the device. If the\ncalibration is successful, new calibration data and constants are stored\nin the onboard EEPROM.\n' }, 'parameters': [ { 'direction': 'in', 'documentation': { 'description': '\nIdentifies your instrument session. **vi** is obtained from the\nniFgen_init or the nifgen_InitWithOptions functions and identifies a\nparticular instrument session.\n' }, 'name': 'vi', 'type': 'ViSession' } ], 'returns': 'ViStatus' }, 'SendSoftwareEdgeTrigger': { 'documentation': { 'description': '\nSends a command to trigger the signal generator. This VI can act as an\noverride for an external edge trigger.\n', 'note': '\nThis VI does not override external digital edge triggers of the\nNI 5401/5411/5431.\n' }, 'method_templates': [ { 'documentation_filename': 'send_software_edge_trigger', 'method_python_name_suffix': '', 'session_filename': 'send_software_edge_trigger' } ], 'parameters': [ { 'direction': 'in', 'documentation': { 'description': '\nIdentifies your instrument session. **vi** is obtained from the\nniFgen_init, nifgen_InitWithOptions, or nifgen_InitializeWithChannels\nfunctions and identifies a particular instrument session.\n' }, 'name': 'vi', 'type': 'ViSession' }, { 'direction': 'in', 'documentation': { 'description': '\nSets the clock mode of the signal generator.\n\n****Defined Values****\n', 'table_body': [ [ 'NIFGEN_VAL_DIVIDE_DOWN' ], [ 'NIFGEN_VAL_HIGH_RESOLUTION' ], [ 'NIFGEN_VAL_AUTOMATIC' ] ] }, 'name': 'trigger', 'type': 'ViInt32' }, { 'direction': 'in', 'name': 'triggerId', 'type': 'ViString' } ], 'render_in_session_base': True, 'returns': 'ViStatus' }, 'SendSoftwareTrigger': { 'codegen_method': 'no', 'documentation': { 'description': 'Sends a command to trigger the signal generator.', 'note': '\nThis function can act as an override for an external edge trigger.\nHowever, the NI 5401/5411/5431 do not support overriding an external\ndigital edge trigger.\n' }, 'parameters': [ { 'direction': 'in', 'documentation': { 'description': '\nIdentifies your instrument session. **vi** is obtained from the\nniFgen_init, nifgen_InitWithOptions, or nifgen_InitializeWithChannels\nfunctions and identifies a particular instrument session.\n' }, 'name': 'vi', 'type': 'ViSession' } ], 'returns': 'ViStatus' }, 'SetAttributeViBoolean': { 'codegen_method': 'private', 'documentation': { 'description': '\nSets the value of a ViBoolean attribute.\n\nThis is a low-level function that you can use to set the values of\ninstrument-specific attributes and inherent IVI attributes. If the\nattribute represents an instrument state, this function performs\ninstrument I/O in the following cases:\n\n- State caching is disabled for the entire session or for the\n particular attribute.\n- State caching is enabled and the currently cached value is invalid or\n is different than the value you specify.\n\nNI-FGEN contains high-level functions that set most of the instrument\nattributes. NI recommends that you use the high-level driver functions\nas much as possible. They handle order dependencies and multithread\nlocking for you. In addition, they perform status checking only after\nsetting all of the attributes. In contrast, when you set multiple\nattributes using the Set Attribute functions, the functions check the\ninstrument status after each call.\n\nAlso, when state caching is enabled, the high-level functions that\nconfigure multiple attributes perform instrument I/O only for the\nattributes whose value you change. Thus, you can safely call the\nhigh-level functions without the penalty of redundant instrument I/O.\n' }, 'parameters': [ { 'direction': 'in', 'documentation': { 'description': '\nIdentifies your instrument session. **vi** is obtained from the\nniFgen_init, nifgen_InitWithOptions, or nifgen_InitializeWithChannels\nfunctions and identifies a particular instrument session.\n' }, 'name': 'vi', 'type': 'ViSession' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the name of the channel on which to check the attribute value\nif the attribute is channel-based. If the attribute is not\nchannel-based, then pass VI_NULL or "" (empty string).\n\n**Default Value**: "" (empty string)\n' }, 'name': 'channelName', 'type': 'ViConstString' }, { 'direction': 'in', 'documentation': { 'description': 'Specifies the ID of an attribute.' }, 'name': 'attributeId', 'type': 'ViAttr' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the value to which you want to set the attribute. **Default\nValue**: None\n', 'note': '\nSome of the values might not be valid depending on the current\nsettings of the instrument session.\n' }, 'name': 'attributeValue', 'type': 'ViBoolean' } ], 'returns': 'ViStatus' }, 'SetAttributeViInt32': { 'codegen_method': 'private', 'documentation': { 'description': '\nSets the value of a ViInt32 attribute.\n\nThis is a low-level function that you can use to set the values of\ninstrument-specific attributes and inherent IVI attributes. If the\nattribute represents an instrument state, this function performs\ninstrument I/O in the following cases:\n\n- State caching is disabled for the entire session or for the\n particular attribute.\n- State caching is enabled and the currently cached value is invalid or\n is different than the value you specify.\n\nNI-FGEN contains high-level functions that set most of the instrument\nattributes. NI recommends that you use the high-level driver functions\nas much as possible. They handle order dependencies and multithread\nlocking for you. In addition, they perform status checking only after\nsetting all of the attributes. In contrast, when you set multiple\nattributes using the Set Attribute functions, the functions check the\ninstrument status after each call.\n\nAlso, when state caching is enabled, the high-level functions that\nconfigure multiple attributes perform instrument I/O only for the\nattributes whose value you change. Thus, you can safely call the\nhigh-level functions without the penalty of redundant instrument I/O.\n' }, 'parameters': [ { 'direction': 'in', 'documentation': { 'description': '\nIdentifies your instrument session. **vi** is obtained from the\nniFgen_init, nifgen_InitWithOptions, or nifgen_InitializeWithChannels\nfunctions and identifies a particular instrument session.\n' }, 'name': 'vi', 'type': 'ViSession' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the name of the channel on which to check the attribute value\nif the attribute is channel-based. If the attribute is not\nchannel-based, then pass VI_NULL or "" (empty string).\n\n**Default Value**: "" (empty string)\n' }, 'name': 'channelName', 'type': 'ViConstString' }, { 'direction': 'in', 'documentation': { 'description': 'Specifies the ID of an attribute.' }, 'name': 'attributeId', 'type': 'ViAttr' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the value to which you want to set the attribute. **Default\nValue**: None\n', 'note': '\nSome of the values might not be valid depending on the current\nsettings of the instrument session.\n' }, 'name': 'attributeValue', 'type': 'ViInt32' } ], 'returns': 'ViStatus' }, 'SetAttributeViInt64': { 'codegen_method': 'no', 'documentation': { 'description': '\nSets the value of a ViInt64 attribute.\n\nThis is a low-level function that you can use to set the values of\ninstrument-specific attributes and inherent IVI attributes. If the\nattribute represents an instrument state, this function performs\ninstrument I/O in the following cases:\n\n- State caching is disabled for the entire session or for the\n particular attribute.\n- State caching is enabled and the currently cached value is invalid or\n is different than the value you specify.\n\nNI-FGEN contains high-level functions that set most of the instrument\nattributes. NI recommends that you use the high-level driver functions\nas much as possible. They handle order dependencies and multithread\nlocking for you. In addition, they perform status checking only after\nsetting all of the attributes. In contrast, when you set multiple\nattributes using the Set Attribute functions, the functions check the\ninstrument status after each call.\n\nAlso, when state caching is enabled, the high-level functions that\nconfigure multiple attributes perform instrument I/O only for the\nattributes whose value you change. Thus, you can safely call the\nhigh-level functions without the penalty of redundant instrument I/O.\n' }, 'parameters': [ { 'direction': 'in', 'documentation': { 'description': '\nIdentifies your instrument session. **vi** is obtained from the\nniFgen_init, nifgen_InitWithOptions, or nifgen_InitializeWithChannels\nfunctions and identifies a particular instrument session.\n' }, 'name': 'vi', 'type': 'ViSession' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the name of the channel on which to check the attribute value\nif the attribute is channel-based. If the attribute is not\nchannel-based, then pass VI_NULL or "" (empty string).\n\n**Default Value**: "" (empty string)\n' }, 'name': 'channelName', 'type': 'ViConstString' }, { 'direction': 'in', 'documentation': { 'description': 'Specifies the ID of an attribute.' }, 'name': 'attributeId', 'type': 'ViAttr' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the value to which you want to set the attribute. **Default\nValue**: None\n', 'note': '\nSome of the values might not be valid depending on the current\nsettings of the instrument session.\n' }, 'name': 'attributeValue', 'type': 'ViInt64' } ], 'returns': 'ViStatus' }, 'SetAttributeViReal64': { 'codegen_method': 'private', 'documentation': { 'description': '\nSets the value of a ViReal64 attribute.\n\nThis is a low-level function that you can use to set the values of\ninstrument-specific attributes and inherent IVI attributes. If the\nattribute represents an instrument state, this function performs\ninstrument I/O in the following cases:\n\n- State caching is disabled for the entire session or for the\n particular attribute.\n- State caching is enabled and the currently cached value is invalid or\n is different than the value you specify.\n\nNI-FGEN contains high-level functions that set most of the instrument\nattributes. NI recommends that you use the high-level driver functions\nas much as possible. They handle order dependencies and multithread\nlocking for you. In addition, they perform status checking only after\nsetting all of the attributes. In contrast, when you set multiple\nattributes using the Set Attribute functions, the functions check the\ninstrument status after each call.\n\nAlso, when state caching is enabled, the high-level functions that\nconfigure multiple attributes perform instrument I/O only for the\nattributes whose value you change. Thus, you can safely call the\nhigh-level functions without the penalty of redundant instrument I/O.\n' }, 'parameters': [ { 'direction': 'in', 'documentation': { 'description': '\nIdentifies your instrument session. **vi** is obtained from the\nniFgen_init, nifgen_InitWithOptions, or nifgen_InitializeWithChannels\nfunctions and identifies a particular instrument session.\n' }, 'name': 'vi', 'type': 'ViSession' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the name of the channel on which to check the attribute value\nif the attribute is channel-based. If the attribute is not\nchannel-based, then pass VI_NULL or "" (empty string).\n\n**Default Value**: "" (empty string)\n' }, 'name': 'channelName', 'type': 'ViConstString' }, { 'direction': 'in', 'documentation': { 'description': 'Specifies the ID of an attribute.' }, 'name': 'attributeId', 'type': 'ViAttr' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the value to which you want to set the attribute. **Default\nValue**: None\n', 'note': '\nSome of the values might not be valid depending on the current\nsettings of the instrument session.\n' }, 'name': 'attributeValue', 'type': 'ViReal64' } ], 'returns': 'ViStatus' }, 'SetAttributeViSession': { 'codegen_method': 'no', 'documentation': { 'description': '\nSets the value of a ViSession attribute.\n\nThis is a low-level function that you can use to set the values of\ninstrument-specific attributes and inherent IVI attributes. If the\nattribute represents an instrument state, this function performs\ninstrument I/O in the following cases:\n\n- State caching is disabled for the entire session or for the\n particular attribute.\n- State caching is enabled and the currently cached value is invalid or\n is different than the value you specify.\n\nNI-FGEN contains high-level functions that set most of the instrument\nattributes. It is best to use the high-level driver functions as much as\npossible. They handle order dependencies and multithread locking for\nyou. In addition, they perform status checking only after setting all of\nthe attributes. In contrast, when you set multiple attributes using the\nSet Attribute functions, the functions check the instrument status after\neach call.\n\nAlso, when state caching is enabled, the high-level functions that\nconfigure multiple attributes perform instrument I/O only for the\nattributes whose value you change. Thus, you can safely call the\nhigh-level functions without the penalty of redundant instrument I/O.\n' }, 'parameters': [ { 'direction': 'in', 'documentation': { 'description': '\nIdentifies your instrument session. **vi** is obtained from the\nniFgen_init, nifgen_InitWithOptions, or nifgen_InitializeWithChannels\nfunctions and identifies a particular instrument session.\n' }, 'name': 'vi', 'type': 'ViSession' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the name of the channel on which to check the attribute value\nif the attribute is channel-based. If the attribute is not\nchannel-based, then pass VI_NULL or an empty string ("").\n\n**Default Value**: "" (empty string)\n' }, 'name': 'channelName', 'type': 'ViConstString' }, { 'direction': 'in', 'documentation': { 'description': 'Specifies the ID of an attribute.' }, 'name': 'attributeId', 'type': 'ViAttr' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the value to which you want to set the attribute. **Default\nValue**: None\n', 'note': '\nSome of the values might not be valid depending on the current\nsettings of the instrument session.\n' }, 'name': 'attributeValue', 'type': 'ViSession' } ], 'returns': 'ViStatus' }, 'SetAttributeViString': { 'codegen_method': 'private', 'documentation': { 'description': '\nSets the value of a ViString attribute.\n\nThis is a low-level function that you can use to set the values of\ninstrument-specific attributes and inherent IVI attributes. If the\nattribute represents an instrument state, this function performs\ninstrument I/O in the following cases:\n\n- State caching is disabled for the entire session or for the\n particular attribute.\n- State caching is enabled and the currently cached value is invalid or\n is different than the value you specify.\n\nNI-FGEN contains high-level functions that set most of the instrument\nattributes. NI recommends that you use the high-level driver functions\nas much as possible. They handle order dependencies and multithread\nlocking for you. In addition, they perform status checking only after\nsetting all of the attributes. In contrast, when you set multiple\nattributes using the Set Attribute functions, the functions check the\ninstrument status after each call.\n\nAlso, when state caching is enabled, the high-level functions that\nconfigure multiple attributes perform instrument I/O only for the\nattributes whose value you change. Thus, you can safely call the\nhigh-level functions without the penalty of redundant instrument I/O.\n' }, 'parameters': [ { 'direction': 'in', 'documentation': { 'description': '\nIdentifies your instrument session. **vi** is obtained from the\nniFgen_init, nifgen_InitWithOptions, or nifgen_InitializeWithChannels\nfunctions and identifies a particular instrument session.\n' }, 'name': 'vi', 'type': 'ViSession' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the name of the channel on which to check the attribute value\nif the attribute is channel-based. If the attribute is not\nchannel-based, then pass VI_NULL or "" (empty string).\n\n**Default Value**: "" (empty string)\n' }, 'name': 'channelName', 'type': 'ViConstString' }, { 'direction': 'in', 'documentation': { 'description': 'Specifies the ID of an attribute.' }, 'name': 'attributeId', 'type': 'ViAttr' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the value to which you want to set the attribute. **Default\nValue**: None\n', 'note': '\nSome of the values might not be valid depending on the current\nsettings of the instrument session.\n' }, 'name': 'attributeValue', 'type': 'ViConstString' } ], 'returns': 'ViStatus' }, 'SetCalUserDefinedInfo': { 'codegen_method': 'no', 'documentation': { 'description': '\nStores user-defined information in the onboard EEPROM. Call the\nnifgen_GetCalUserDefinedInfoMaxSize function to determine the maximum\nnumber of characters that can be stored.\n' }, 'parameters': [ { 'direction': 'in', 'documentation': { 'description': '\nIdentifies your instrument session. **vi** is obtained from the\nnifgen_init or the nifgen_InitExtCal function and identifies a\nparticular instrument session.\n' }, 'name': 'vi', 'type': 'ViSession' }, { 'direction': 'in', 'documentation': { 'description': 'Specifies the information string that should be stored in the EEPROM.' }, 'name': 'info', 'type': 'ViConstString' } ], 'returns': 'ViStatus' }, 'SetNamedWaveformNextWritePosition': { 'codegen_method': 'private', 'documentation': { 'description': '\nSets the position in the waveform to which data is written at the next\nwrite. This function allows you to write to arbitrary locations within\nthe waveform. These settings apply only to the next write to the\nwaveform specified by the **waveformHandle** parameter. Subsequent\nwrites to that waveform begin where the last write left off, unless this\nfunction is called again. The **waveformHandle** passed in must have\nbeen created with a call to one of the following functions:\n\n- nifgen_AllocateWaveform\n- nifgen_CreateWaveformF64\n- nifgen_CreateWaveformI16\n- nifgen_CreateWaveformFromFileI16\n- nifgen_CreateWaveformFromFileF64\n- nifgen_CreateWaveformFromFileHWS\n' }, 'method_name_for_documentation': 'set_next_write_position', 'parameters': [ { 'direction': 'in', 'documentation': { 'description': '\nIdentifies your instrument session. **vi** is obtained from the\nniFgen_init, nifgen_InitWithOptions, or nifgen_InitializeWithChannels\nfunctions and identifies a particular instrument session.\n' }, 'name': 'vi', 'type': 'ViSession' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the channel onto which the waveform data should be loaded.\n\n**Default Value**: "0"\n' }, 'name': 'channelName', 'type': 'ViConstString' }, { 'direction': 'in', 'documentation': { 'description': 'Specifies the name to associate with the allocated waveform.' }, 'name': 'waveformName', 'type': 'ViConstString' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the reference position in the waveform. This position and\n**offset** together determine where to start loading data into the\nwaveform.\n\n****Defined Values****\n', 'table_body': [ [ 'NIFGEN_VAL_WAVEFORM_POSITION_START (0)', 'Use the start of the waveform as the reference position.' ], [ 'NIFGEN_VAL_WAVEFORM_POSITION_CURRENT (1)', 'Use the current position within the waveform as the reference position.' ] ] }, 'enum': 'RelativeTo', 'name': 'relativeTo', 'type': 'ViInt32' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the offset from the **relativeTo** parameter at which to start\nloading the data into the waveform.\n' }, 'name': 'offset', 'type': 'ViInt32' } ], 'returns': 'ViStatus' }, 'SetNextWritePositionDispatcher': { 'codegen_method': 'python-only', 'documentation': { 'description': '\nSets the position in the waveform at which the next waveform data is\nwritten. This function allows you to write to arbitrary locations within\nthe waveform. These settings apply only to the next write to the\nwaveform specified by the waveformHandle parameter. Subsequent writes to\nthat waveform begin where the last write left off, unless this function\nis called again. The waveformHandle passed in must have been created by\na call to the nifgen_AllocateWaveform function or one of the following\nniFgen_CreateWaveformF64 function.\n' }, 'method_templates': [ { 'documentation_filename': 'default_method', 'method_python_name_suffix': '', 'session_filename': 'set_next_write_position' } ], 'parameters': [ { 'direction': 'in', 'documentation': { 'description': 'Identifies your instrument session. **vi** is obtained from the niFgen_InitializeWithChannels function and identifies a particular instrument session.' }, 'name': 'vi', 'type': 'ViSession' }, { 'direction': 'in', 'documentation': { 'description': 'Specifies the channel on which to the waveform data should be loaded.' }, 'name': 'channelName', 'type': 'ViString' }, { 'direction': 'in', 'documentation': { 'description': 'The name (str) or handle (int) of an arbitrary waveform previously allocated with niFgen_AllocateNamedWaveform, niFgen_AllocateWaveform or niFgen_CreateWaveformF64.' }, 'name': 'waveformNameOrHandle', 'type': 'ViInt32', 'type_in_documentation': 'str or int' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the reference position in the waveform. This position and\n**offset** together determine where to start loading data into the\nwaveform.\n\n****Defined Values****\n', 'table_body': [ [ 'NIFGEN_VAL_WAVEFORM_POSITION_START (0)', 'Use the start of the waveform as the reference position.' ], [ 'NIFGEN_VAL_WAVEFORM_POSITION_CURRENT (1)', 'Use the current position within the waveform as the reference position.' ] ] }, 'enum': 'RelativeTo', 'name': 'relativeTo', 'type': 'ViInt32' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the offset from **relativeTo** at which to start loading the\ndata into the waveform.\n' }, 'name': 'offset', 'type': 'ViInt32' } ], 'python_name': 'set_next_write_position', 'returns': 'ViStatus' }, 'SetWaveformNextWritePosition': { 'codegen_method': 'private', 'documentation': { 'description': '\nSets the position in the waveform at which the next waveform data is\nwritten. This function allows you to write to arbitrary locations within\nthe waveform. These settings apply only to the next write to the\nwaveform specified by the waveformHandle parameter. Subsequent writes to\nthat waveform begin where the last write left off, unless this function\nis called again. The waveformHandle passed in must have been created by\na call to the nifgen_AllocateWaveform function or one of the following\nniFgen CreateWaveform functions:\n\n- nifgen_CreateWaveformF64\n- nifgen_CreateWaveformI16\n- nifgen_CreateWaveformFromFileI16\n- nifgen_CreateWaveformFromFileF64\n- nifgen_CreateWaveformFromFileHWS\n' }, 'method_name_for_documentation': 'set_next_write_position', 'parameters': [ { 'direction': 'in', 'documentation': { 'description': '\nIdentifies your instrument session. **vi** is obtained from the\nniFgen_init, nifgen_InitWithOptions, or nifgen_InitializeWithChannels\nfunctions and identifies a particular instrument session.\n' }, 'name': 'vi', 'type': 'ViSession' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the channel on which to the waveform data should be loaded.\n\n**Default Value**: "0"\n' }, 'name': 'channelName', 'type': 'ViConstString' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the handle of the arbitrary waveform previously allocated with\nthe nifgen_AllocateWaveform function.\n' }, 'name': 'waveformHandle', 'type': 'ViInt32' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the reference position in the waveform. This position and\n**offset** together determine where to start loading data into the\nwaveform.\n\n****Defined Values****\n', 'table_body': [ [ 'NIFGEN_VAL_WAVEFORM_POSITION_START (0)', 'Use the start of the waveform as the reference position.' ], [ 'NIFGEN_VAL_WAVEFORM_POSITION_CURRENT (1)', 'Use the current position within the waveform as the reference position.' ] ] }, 'enum': 'RelativeTo', 'name': 'relativeTo', 'type': 'ViInt32' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the offset from **relativeTo** at which to start loading the\ndata into the waveform.\n' }, 'name': 'offset', 'type': 'ViInt32' } ], 'returns': 'ViStatus' }, 'UnlockSession': { 'documentation': { 'description': '\nReleases a lock that you acquired on an instrument session using the\nnifgen_LockSession function.\n' }, 'method_templates': [ { 'documentation_filename': 'unlock', 'method_python_name_suffix': '', 'session_filename': 'unlock' } ], 'parameters': [ { 'direction': 'in', 'documentation': { 'description': '\nIdentifies your instrument session. **vi** is obtained from the\nniFgen_init, nifgen_InitWithOptions, or nifgen_InitializeWithChannels\nfunctions and identifies a particular instrument session.\n' }, 'name': 'vi', 'type': 'ViSession' }, { 'direction': 'out', 'documentation': { 'description': '\nKeeps track of whether you obtain a lock and therefore need to unlock\nthe session.\n\nThis parameter serves as a convenience. If you do not want to use this\nparameter, pass VI_NULL.\n\nPass the address of a local ViBoolean variable. In the declaration of\nthe local variable, initialize it to VI_FALSE. Pass the address of the\nsame local variable to any other calls you make to the\nniFgen_LockSession function or the niFgen_UnlockSession function in\nthe same function.\n\nThe parameter is an input/output parameter. The niFgen_LockSession\nfunction and the niFgen_UnlockSession function each inspect the current\nvalue and take the following actions:\n\n- If the value is VI_TRUE, the niFgen_LockSession function does not\n lock the session again. If the value is VI_FALSE, the\n niFgen_LockSession function obtains the lock and sets the value of\n the parameter to VI_TRUE.\n- If the value is VI_FALSE, the niFgen_UnlockSession function does\n not attempt to unlock the session. If the value is VI_TRUE, the\n niFgen_UnlockSession function releases the lock and sets the value\n of the parameter to VI_FALSE.\n\nThus, you can, call the niFgen_UnlockSession function at the end of\nyour function without worrying about whether you actually have the lock.\n\nExample:\n\nViStatus TestFunc (ViSession vi, ViInt32 flags)\n{\n\nViStatus error = VI_SUCCESS;\nViBoolean haveLock = VI_FALSE;\nif (flags & BIT_1)\n{\n\nviCheckErr(niFgen_LockSession(vi, &haveLock;));\nviCheckErr( TakeAction1(vi));\nif (flags & BIT_2)\n{\n\nviCheckErr( niFgen_UnlockSession(vi, &haveLock;));\nviCheckErr( TakeAction2(vi));\nviCheckErr( niFgen_LockSession(vi, &haveLock;);\n\n}\nif (flags & BIT_3)\n\n viCheckErr( TakeAction3(vi));\n\n}\n\nError:\n\n| \n\n/\\*\nAt this point, you cannot really be sure that\nyou have the lock. Fortunately, the haveLock\nvariable takes care of that for you.\n\\*/\nniFgen_UnlockSession(vi, &haveLock;);\nreturn error;\n\n}\n' }, 'name': 'callerHasLock', 'type': 'ViBoolean' } ], 'python_name': 'unlock', 'render_in_session_base': True, 'returns': 'ViStatus', 'use_session_lock': False }, 'WaitUntilDone': { 'documentation': { 'description': '\nWaits until the device is done generating or until the maximum time has\nexpired.\n' }, 'parameters': [ { 'direction': 'in', 'documentation': { 'description': '\nIdentifies your instrument session. **vi** is obtained from the\nniFgen_init, nifgen_InitWithOptions, or nifgen_InitializeWithChannels\nfunctions and identifies a particular instrument session.\n' }, 'name': 'vi', 'type': 'ViSession' }, { 'default_value': 'datetime.timedelta(seconds=10.0)', 'direction': 'in', 'documentation': { 'description': 'Specifies the timeout value in milliseconds.' }, 'name': 'maxTime', 'python_api_converter_name': 'convert_timedelta_to_milliseconds', 'type': 'ViInt32', 'type_in_documentation': 'float in seconds or datetime.timedelta' } ], 'returns': 'ViStatus' }, 'WriteBinary16AnalogStaticValue': { 'codegen_method': 'no', 'documentation': { 'description': '\n| Writes the 16-bit value to the DAC, which could be output as a DC\n Voltage.\n| This function writes to the DAC only when in an external calibration\n session.\n' }, 'parameters': [ { 'direction': 'in', 'documentation': { 'description': '\nIdentifies your instrument session. **vi** is obtained from the\nnifgen_InitExtCal function and identifies a particular instrument\nsession.\n' }, 'name': 'vi', 'type': 'ViSession' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the channel name for which you want to write the value.\n\n**Default Value**: "0"\n' }, 'name': 'channelName', 'type': 'ViConstString' }, { 'direction': 'in', 'documentation': { 'description': 'The value to write.' }, 'name': 'value', 'type': 'ViInt16' } ], 'returns': 'ViStatus' }, 'WriteBinary16Waveform': { 'codegen_method': 'private', 'documentation': { 'description': '\nWrites binary data to the waveform in onboard memory. The waveform\nhandle passed must have been created by a call to the\nnifgen_AllocateWaveform or the nifgen_CreateWaveformI16 function.\n\nBy default, the subsequent call to the niFgen_WriteBinary16Waveform\nfunction continues writing data from the position of the last sample\nwritten. You can set the write position and offset by calling the\nnifgen_SetWaveformNextWritePosition function. If streaming is enabled,\nyou can write more data than the allocated waveform size in onboard\nmemory. Refer to the\n`Streaming <REPLACE_DRIVER_SPECIFIC_URL_2(streaming)>`__ topic for more\ninformation about streaming data.\n' }, 'method_name_for_documentation': 'write_waveform', 'method_templates': [ { 'method_python_name_suffix': '_numpy', 'session_filename': 'numpy_write_method' } ], 'parameters': [ { 'direction': 'in', 'documentation': { 'description': '\nIdentifies your instrument session. **vi** is obtained from the\nniFgen_init, nifgen_InitWithOptions, or nifgen_InitializeWithChannels\nfunctions and identifies a particular instrument session.\n' }, 'name': 'vi', 'type': 'ViSession' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the channel on which to the waveform data should be loaded.\n\n**Default Value**: "0"\n' }, 'name': 'channelName', 'type': 'ViConstString' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the handle of the arbitrary waveform previously allocated with\nthe nifgen_AllocateWaveform function.\n' }, 'name': 'waveformHandle', 'type': 'ViInt32' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the number of samples to load into the waveform.\n\n**Default Value**: 0\n' }, 'name': 'size', 'type': 'ViInt32' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the array of data to load into the waveform. The array must\nhave at least as many elements as the value in **size**. The binary data\nis left-justified.\n' }, 'name': 'data', 'numpy': True, 'size': { 'mechanism': 'len', 'value': 'size' }, 'type': 'ViInt16[]', 'use_array': True } ], 'returns': 'ViStatus' }, 'WriteComplexBinary16Waveform': { 'codegen_method': 'no', 'documentation': { 'description': '\nWrites binary data to the waveform in onboard memory. The waveform\nhandle passed in must have been created by a call to the\nnifgen_AllocateWaveform or the nifgen_CreateWaveformI16 function.\n\nBy default, the subsequent call to the\nniFgen_WriteComplexBinary16Waveform function continues writing data\nfrom the position of the last sample written. You can set the write\nposition and offset by calling the nifgen_SetWaveformNextWritePosition\nfunction. If streaming is enabled, you can write more data than the\nallocated waveform size in onboard memory. Refer to the\n`Streaming <REPLACE_DRIVER_SPECIFIC_URL_2(streaming)>`__ topic for more\ninformation about streaming data.\n' }, 'parameters': [ { 'direction': 'in', 'documentation': { 'description': '\nIdentifies your instrument session. **vi** is obtained from the\nniFgen_init, nifgen_InitWithOptions, or nifgen_InitializeWithChannels\nfunctions and identifies a particular instrument session.\n' }, 'name': 'vi', 'type': 'ViSession' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies channel on which to the waveform data should be loaded.\n\n**Default Value**: "0"\n' }, 'name': 'channelName', 'type': 'ViConstString' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the handle of the arbitrary waveform previously allocated with\nthe nifgen_AllocateWaveform function.\n' }, 'name': 'waveformHandle', 'type': 'ViInt32' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the number of samples to load into the waveform.\n\n**Default Value**: 0\n' }, 'name': 'size', 'type': 'ViInt32' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the array of data to load into the waveform. The array must\nhave at least as many elements as the value in **size**. The binary data\nis left-justified.\n' }, 'name': 'data', 'size': { 'mechanism': 'len', 'value': 'size' }, 'type': 'struct NiComplexI16[]' } ], 'returns': 'ViStatus' }, 'WriteNamedWaveformComplexF64': { 'codegen_method': 'no', 'documentation': { 'description': '\nWrites complex floating–point data to the named waveform in onboard\nmemory on devices with the NIFGEN_ATTR_OSP_ENABLED attribute set to\nVI_TRUE and the NIFGEN_ATTR_OSP_DATA_PROCESSING_MODE attribute set\nto NIFGEN_VAL_OSP_COMPLEX. The waveform handle passed in must have\nbeen created by a call to the nifgen_AllocateWaveform function or to\none of the following niFgen Create Waveform functions:\n\n- nifgen_CreateWaveformF64\n- nifgen_CreateWaveformI16\n- nifgen_CreateWaveformFromFileI16\n- nifgen_CreateWaveformFromFileF64\n- nifgen_CreateWaveformFromFileHWS\n\nBy default, the subsequent call to the\nniFgen_WriteNamedWaveformComplexF64 function continues writing data\nfrom the position of the last sample written. You can set the write\nposition and offset by calling the\nnifgen_SetNamedWaveformNextWritePosition function. If streaming is\nenabled, you can write more data than the allocated waveform size in\nonboard memory. Refer to the\n`Streaming <REPLACE_DRIVER_SPECIFIC_URL_2(streaming)>`__ topic for more\ninformation about streaming data.\n' }, 'parameters': [ { 'direction': 'in', 'documentation': { 'description': '\nIdentifies your instrument session. **vi** is obtained from the\nniFgen_init, nifgen_InitWithOptions, or nifgen_InitializeWithChannels\nfunctions and identifies a particular instrument session.\n' }, 'name': 'vi', 'type': 'ViSession' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the channel onto which the waveform data should be loaded.\n\n**Default Value**: "0"\n' }, 'name': 'channelName', 'type': 'ViConstString' }, { 'direction': 'in', 'documentation': { 'description': 'Specifies the name to associate with the allocated waveform.' }, 'name': 'waveformName', 'type': 'ViConstString' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the number of samples to load into the waveform.\n\n**Default Value**: 0\n' }, 'name': 'size', 'type': 'ViInt32' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the array of data to load into the waveform. The array must\nhave at least as many elements as the value in **size**.\n' }, 'name': 'data', 'numpy': True, 'size': { 'mechanism': 'len', 'value': 'size' }, 'type': 'struct NiComplexNumber[]', 'use_array': True } ], 'returns': 'ViStatus' }, 'WriteNamedWaveformComplexI16': { 'codegen_method': 'no', 'documentation': { 'description': '\nWrites complex binary data to the named waveform in onboard memory on\ndevices with the NIFGEN_ATTR_OSP_ENABLED attribute set to VI_TRUE\nand the NIFGEN_ATTR_OSP_DATA_PROCESSING_MODE attribute set to\nNIFGEN_VAL_OSP_COMPLEX. The waveform handle passed in must have been\ncreated by a call to the nifgen_AllocateWaveform function or to one of\nthe following niFgen Create Waveform functions:\n\n- nifgen_CreateWaveformF64\n- nifgen_CreateWaveformI16\n- nifgen_CreateWaveformFromFileI16\n- nifgen_CreateWaveformFromFileF64\n- nifgen_CreateWaveformFromFileHWS\n\nBy default, the subsequent call to the\nniFgen_WriteNamedWaveformComplexi16 function continues writing data\nfrom the position of the last sample written. You can set the write\nposition and offset by calling the\nnifgen_SetNamedWaveformNextWritePosition function. If streaming is\nenabled, you can write more data than the allocated waveform size in\nonboard memory. Refer to the\n`Streaming <REPLACE_DRIVER_SPECIFIC_URL_2(streaming)>`__ topic for more\ninformation about streaming data.\n' }, 'parameters': [ { 'direction': 'in', 'documentation': { 'description': '\nIdentifies your instrument session. **vi** is obtained from the\nniFgen_init, nifgen_InitWithOptions, or nifgen_InitializeWithChannels\nfunctions and identifies a particular instrument session.\n' }, 'name': 'vi', 'type': 'ViSession' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the channel onto which the waveform data should be loaded.\n\n**Default Value**: "0"\n' }, 'name': 'channelName', 'type': 'ViConstString' }, { 'direction': 'in', 'documentation': { 'description': 'Specifies the name to associate with the allocated waveform.' }, 'name': 'waveformName', 'type': 'ViConstString' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the number of samples to load into the waveform.\n\n**Default Value**: 0\n' }, 'name': 'size', 'type': 'ViInt32' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the array of data to load into the waveform. The array must\nhave at least as many elements as the value in **size**.\n' }, 'name': 'data', 'numpy': True, 'size': { 'mechanism': 'len', 'value': 'size' }, 'type': 'struct NiComplexI16[]', 'use_array': True } ], 'returns': 'ViStatus' }, 'WriteNamedWaveformF64': { 'codegen_method': 'private', 'documentation': { 'description': '\nWrites floating-point data to the waveform in onboard memory. The\nwaveform handle passed in must have been created by a call to the\nnifgen_AllocateWaveform function or to one of the following niFgen\nCreate Waveform functions:\n\n- nifgen_CreateWaveformF64\n- nifgen_CreateWaveformI16\n- nifgen_CreateWaveformFromFileI16\n- nifgen_CreateWaveformFromFileF64\n- nifgen_CreateWaveformFromFileHWS\n\nBy default, the subsequent call to the niFgen_WriteNamedWaveformF64\nfunction continues writing data from the position of the last sample\nwritten. You can set the write position and offset by calling the\nnifgen_SetNamedWaveformNextWritePosition function. If streaming is\nenabled, you can write more data than the allocated waveform size in\nonboard memory. Refer to the\n`Streaming <REPLACE_DRIVER_SPECIFIC_URL_2(streaming)>`__ topic for more\ninformation about streaming data.\n' }, 'method_name_for_documentation': 'write_waveform', 'method_templates': [ { 'method_python_name_suffix': '', 'session_filename': 'default_method' }, { 'method_python_name_suffix': '_numpy', 'session_filename': 'numpy_write_method' } ], 'parameters': [ { 'direction': 'in', 'documentation': { 'description': '\nIdentifies your instrument session. **vi** is obtained from the\nniFgen_init, nifgen_InitWithOptions, or nifgen_InitializeWithChannels\nfunctions and identifies a particular instrument session.\n' }, 'name': 'vi', 'type': 'ViSession' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the channel onto which the waveform data should be loaded.\n\n**Default Value**: "0"\n' }, 'name': 'channelName', 'type': 'ViConstString' }, { 'direction': 'in', 'documentation': { 'description': 'Specifies the name to associate with the allocated waveform.' }, 'name': 'waveformName', 'type': 'ViConstString' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the number of samples to load into the waveform.\n\n**Default Value**: 0\n' }, 'name': 'size', 'type': 'ViInt32' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the array of data to load into the waveform. The array must\nhave at least as many elements as the value in **size**.\n' }, 'name': 'data', 'numpy': True, 'size': { 'mechanism': 'len', 'value': 'size' }, 'type': 'ViReal64[]', 'use_array': True } ], 'returns': 'ViStatus' }, 'WriteNamedWaveformI16': { 'codegen_method': 'private', 'documentation': { 'description': '\nWrites binary data to the named waveform in onboard memory.\n\nBy default, the subsequent call to the niFgen_WriteNamedWaveformI16\nfunction continues writing data from the position of the last sample\nwritten. You can set the write position and offset by calling the\nnifgen_SetNamedWaveformNextWritePosition function. If streaming is\nenabled, you can write more data than the allocated waveform size in\nonboard memory. Refer to the\n`Streaming <REPLACE_DRIVER_SPECIFIC_URL_2(streaming)>`__ topic for more\ninformation about streaming data.\n' }, 'method_name_for_documentation': 'write_waveform', 'method_templates': [ { 'method_python_name_suffix': '_numpy', 'session_filename': 'numpy_write_method' } ], 'parameters': [ { 'direction': 'in', 'documentation': { 'description': '\nIdentifies your instrument session. **vi** is obtained from the\nniFgen_init, nifgen_InitWithOptions, or nifgen_InitializeWithChannels\nfunctions and identifies a particular instrument session.\n' }, 'name': 'vi', 'type': 'ViSession' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the channel onto which the waveform data should be loaded.\n\n**Default Value**: "0"\n' }, 'name': 'channelName', 'type': 'ViConstString' }, { 'direction': 'in', 'documentation': { 'description': 'Specifies the name to associate with the allocated waveform.' }, 'name': 'waveformName', 'type': 'ViConstString' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the number of samples to load into the waveform.\n\n**Default Value**: 0\n' }, 'name': 'size', 'type': 'ViInt32' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the array of data to load into the waveform. The array must\nhave at least as many elements as the value in **size**.\n' }, 'name': 'data', 'numpy': True, 'size': { 'mechanism': 'len', 'value': 'size' }, 'type': 'ViInt16[]', 'use_array': True } ], 'returns': 'ViStatus' }, 'WriteP2PEndpointI16': { 'codegen_method': 'no', 'documentation': { 'description': '\nWrites I16 data to the peer-to-peer endpoint. Use this function to write\ninitial data from the host to the endpoint before starting generation to\navoid an underflow at start.\n' }, 'parameters': [ { 'direction': 'in', 'documentation': { 'description': '\nIdentifies your instrument session. **vi** is obtained from the\nniFgen_init, nifgen_InitWithOptions, or nifgen_InitializeWithChannels\nfunctions and identifies a particular instrument session.\n' }, 'name': 'vi', 'type': 'ViSession' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the name of the FIFO endpoint. Data is written to the endpoint\nFIFO.\n' }, 'name': 'endpointName', 'type': 'ViConstString' }, { 'direction': 'in', 'documentation': { 'description': 'Specifies the number of samples to write into the endpoint FIFO.' }, 'name': 'numberOfSamples', 'type': 'ViInt32' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the array of data to write into the endpoint FIFO. The binary\ndata is left-justified.\n' }, 'name': 'endpointData', 'type': 'ViInt16' } ], 'returns': 'ViStatus' }, 'WriteScript': { 'documentation': { 'description': '\nWrites a string containing one or more scripts that govern the\ngeneration of waveforms.\n' }, 'parameters': [ { 'direction': 'in', 'documentation': { 'description': '\nIdentifies your instrument session. **vi** is obtained from the\nniFgen_init, nifgen_InitWithOptions, or nifgen_InitializeWithChannels\nfunctions and identifies a particular instrument session.\n' }, 'name': 'vi', 'type': 'ViSession' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the channel on which the script is loaded.\n\n**Default Value**: "0"\n' }, 'name': 'channelName', 'type': 'ViConstString' }, { 'direction': 'in', 'documentation': { 'description': "\nContains the text of the script you want to use for your generation\noperation. Refer to `scripting\nInstructions <REPLACE_DRIVER_SPECIFIC_URL_2(niscripted.chm',%20'scripting_instructions)>`__\nfor more information about writing scripts.\n" }, 'name': 'script', 'type': 'ViConstString' } ], 'returns': 'ViStatus' }, 'WriteWaveform': { 'codegen_method': 'private', 'documentation': { 'description': '\nWrites floating-point data to the waveform in onboard memory. The\nwaveform handle passed in must have been created by a call to the\nnifgen_AllocateWaveform function or one of the following niFgen\nCreateWaveform functions:\n\n- nifgen_CreateWaveformF64\n- nifgen_CreateWaveformI16\n- nifgen_CreateWaveformFromFileI16\n- nifgen_CreateWaveformFromFileF64\n- nifgen_CreateWaveformFromFileHWS\n\nBy default, the subsequent call to the niFgen_WriteWaveform function\ncontinues writing data from the position of the last sample written. You\ncan set the write position and offset by calling the\nnifgen_SetWaveformNextWritePosition function. If streaming is enabled,\nyou can write more data than the allocated waveform size in onboard\nmemory. Refer to the\n`Streaming <REPLACE_DRIVER_SPECIFIC_URL_2(streaming)>`__ topic for more\ninformation about streaming data.\n' }, 'method_name_for_documentation': 'write_waveform', 'method_templates': [ { 'method_python_name_suffix': '', 'session_filename': 'default_method' }, { 'method_python_name_suffix': '_numpy', 'session_filename': 'numpy_write_method' } ], 'parameters': [ { 'direction': 'in', 'documentation': { 'description': '\nIdentifies your instrument session. **vi** is obtained from the\nniFgen_init, nifgen_InitWithOptions, or nifgen_InitializeWithChannels\nfunctions and identifies a particular instrument session.\n' }, 'name': 'vi', 'type': 'ViSession' }, { 'direction': 'in', 'documentation': { 'description': '\nThe channel onto which the waveform data should be loaded.\n\n**Default Value**: "0"\n' }, 'name': 'channelName', 'type': 'ViConstString' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the handle of the arbitrary waveform previously allocated with\nthe nifgen_AllocateWaveform function.\n' }, 'name': 'waveformHandle', 'type': 'ViInt32' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the number of samples to load into the waveform.\n\n**Default Value**: 0\n' }, 'name': 'size', 'type': 'ViInt32' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the array of data to load into the waveform. The array must\nhave at least as many elements as the value in **size**.\n' }, 'name': 'data', 'numpy': True, 'size': { 'mechanism': 'len', 'value': 'size' }, 'type': 'ViReal64[]', 'use_array': True } ], 'returns': 'ViStatus' }, 'WriteWaveformComplexF64': { 'codegen_method': 'no', 'documentation': { 'description': '\nWrites complex data to the waveform in onboard memory on devices with\nthe NIFGEN_ATTR_OUTPUT_ENABLED attribute set to VI_TRUE and the\nNIFGEN_ATTR_OSP_DATA_PROCESSING_MODE attribute set to\nNIFGEN_VAL_OSP_COMPLEX. The waveform handle passed in must have been\ncreated by a call to the nifgen_AllocateWaveform function or to one of\nthe following niFgen Create Waveform functions:\n\n- nifgen_CreateWaveformF64\n- nifgen_CreateWaveformI16\n- nifgen_CreateWaveformFromFileI16\n- nifgen_CreateWaveformFromFileF64\n- nifgen_CreateWaveformFromFileHWS\n\nBy default, the subsequent call to the niFgen_WriteWaveformComplexF64\nfunction continues writing data from the position of the last sample\nwritten. You can set the write position and offset by calling the\nnifgen_SetWaveformNextWritePosition function. If streaming is enabled,\nyou can write more data than the allocated waveform size in onboard\nmemory. Refer to the\n`Streaming <REPLACE_DRIVER_SPECIFIC_URL_2(streaming)>`__ topic for more\ninformation about streaming data.\n' }, 'parameters': [ { 'direction': 'in', 'documentation': { 'description': '\nIdentifies your instrument session. **vi** is obtained from the\nniFgen_init, nifgen_InitWithOptions, or nifgen_InitializeWithChannels\nfunctions and identifies a particular instrument session.\n' }, 'name': 'vi', 'type': 'ViSession' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the channel onto which the waveform data should be loaded.\n\n**Default Value**: "0"\n' }, 'name': 'channelName', 'type': 'ViConstString' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the number of samples to load into the waveform.\n**Default Value**: 0\n' }, 'name': 'numberOfSamples', 'type': 'ViInt32' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the array of data to load into the waveform. You must\nnormalize the data points in the array to be between –1.00 and +1.00.\nThe array must have at least as many elements as the value in the\n**numberOfSamples** parameter.\n' }, 'name': 'data', 'type': 'struct NiComplexNumber' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the handle of the arbitrary waveform previously allocated with\nthe niFgen_AllocateWaveform function.\n' }, 'name': 'waveformHandle', 'size': { 'mechanism': 'len', 'value': 'size' }, 'type': 'ViInt32' } ], 'returns': 'ViStatus' }, 'WriteWaveformDispatcher': { 'codegen_method': 'python-only', 'documentation': { 'description': 'Writes data to the waveform in onboard memory.\n\nBy default, subsequent calls to this function\ncontinue writing data from the position of the last sample written. You\ncan set the write position and offset by calling the nifgen_SetNamedWaveformNextWritePosition\nnifgen_SetWaveformNextWritePosition function.' }, 'method_templates': [ { 'documentation_filename': 'default_method', 'method_python_name_suffix': '', 'session_filename': 'write_waveform' } ], 'parameters': [ { 'direction': 'in', 'name': 'vi', 'type': 'ViSession' }, { 'direction': 'in', 'name': 'channelName', 'type': 'ViString' }, { 'direction': 'in', 'documentation': { 'description': 'The name (str) or handle (int) of an arbitrary waveform previously allocated with niFgen_AllocateNamedWaveform, niFgen_AllocateWaveform or niFgen_CreateWaveformF64.' }, 'name': 'waveformNameOrHandle', 'type': 'ViInt32', 'type_in_documentation': 'str or int' }, { 'direction': 'in', 'name': 'size', 'type': 'ViInt32' }, { 'direction': 'in', 'documentation': { 'description': 'Array of data to load into the waveform. This may be an iterable of float, or for best performance a numpy.ndarray of dtype int16 or float64.' }, 'name': 'data', 'size': { 'mechanism': 'len', 'value': 'size' }, 'type': 'ViReal64[]' } ], 'python_name': 'write_waveform', 'returns': 'ViStatus' }, 'close': { 'codegen_method': 'private', 'documentation': { 'description': '\nPerforms the following operations:\n\n- Closes the instrument I/O session.\n- Destroys the NI-FGEN session and all of its attributes.\n- Deallocates any memory resources NI-FGEN uses.\n\nNot all signal routes established by calling the nifgen_ExportSignal\nand nifgen_RouteSignalOut functions are released when the NI-FGEN\nsession is closed. The following table shows what happens to a signal\nroute on your device when you call the niFgen_close function.\n', 'note': '\nAfter calling niFgen_close, you cannot use NI-FGEN again until you\ncall the nifgen_init or nifgen_InitWithOptions functions.\n', 'table_body': [ [ 'Front Panel', 'Remain connected', 'Remain connected' ], [ 'RTSI/PXI Backplane', 'Remain connected', 'Disconnected' ] ], 'table_header': [ 'Routes To', 'NI 5401/5411/5431', 'Other Devices' ] }, 'parameters': [ { 'direction': 'in', 'documentation': { 'description': '\nIdentifies your instrument session. **vi** is obtained from the\nniFgen_init, nifgen_InitWithOptions, or nifgen_InitializeWithChannels\nfunctions and identifies a particular instrument session.\n' }, 'name': 'vi', 'type': 'ViSession' } ], 'returns': 'ViStatus', 'use_session_lock': False }, 'error_message': { 'codegen_method': 'private', 'documentation': { 'description': '\nConverts a status code returned by an NI-FGEN function into a\nuser-readable string.\n' }, 'is_error_handling': True, 'parameters': [ { 'direction': 'in', 'documentation': { 'description': '\nIdentifies your instrument session. **vi** is obtained from the\nniFgen_init or the niFgen_InitWithOptions functions and identifies a\nparticular instrument session.\n\nYou can pass VI_NULL for this parameter. Passing VI_NULL is useful\nwhen one of the initialize functions fails.\n\n**Default Value**: VI_NULL\n' }, 'name': 'vi', 'type': 'ViSession' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies the **status** parameter that is returned from any of the\nNI-FGEN functions.\n\n**Default Value**: 0 (VI_SUCCESS)\n' }, 'name': 'errorCode', 'type': 'ViStatus' }, { 'direction': 'out', 'documentation': { 'description': '\nReturns the error message string read from the instrument error message\nqueue.\n\nYou must pass a ViChar array with at least 256 bytes.\n' }, 'name': 'errorMessage', 'size': { 'mechanism': 'fixed', 'value': 256 }, 'type': 'ViChar[]' } ], 'returns': 'ViStatus', 'use_session_lock': False }, 'error_query': { 'codegen_method': 'no', 'documentation': { 'description': 'Reads an error code and a message from the instrument error queue.' }, 'parameters': [ { 'direction': 'in', 'documentation': { 'description': '\nIdentifies your instrument session. **vi** is obtained from the\nniFgen_init, nifgen_InitWithOptions, or nifgen_InitializeWithChannels\nfunctions and identifies a particular instrument session.\n' }, 'name': 'vi', 'type': 'ViSession' }, { 'direction': 'out', 'documentation': { 'description': 'Returns the error code read from the instrument error queue.' }, 'name': 'errorCode', 'type': 'ViInt32' }, { 'direction': 'out', 'documentation': { 'description': '\nReturns the error message string read from the instrument error message\nqueue.\n\nYou must pass a ViChar array with at least 256 bytes.\n' }, 'name': 'errorMessage', 'type': 'ViChar[]' } ], 'returns': 'ViStatus' }, 'fancy_self_test': { 'codegen_method': 'python-only', 'documentation': { 'description': '\nRuns the instrument self-test routine and returns the test result(s).\n\nRaises `SelfTestError` on self test failure. Attributes on exception object:\n\n- code - failure code from driver\n- message - status message from driver\n', 'note': '\nWhen used on some signal generators, the device is reset after the\nniFgen_self_test function runs. If you use the niFgen_self_test\nfunction, your device may not be in its previously configured state\nafter the function runs.\n', 'table_body': [ [ '0', 'Passed self-test' ], [ '1', 'Self-test failed' ] ], 'table_header': [ 'Self-Test Code', 'Description' ] }, 'method_templates': [ { 'documentation_filename': 'default_method', 'method_python_name_suffix': '', 'session_filename': 'fancy_self_test' } ], 'parameters': [ { 'direction': 'in', 'documentation': { 'description': 'Identifies your instrument session. **vi** is obtained from the niFgen_init, nifgen_InitWithOptions, or nifgen_InitializeWithChannels functions and identifies a particular instrument session.' }, 'name': 'vi', 'type': 'ViSession' } ], 'python_name': 'self_test', 'returns': 'ViStatus' }, 'init': { 'codegen_method': 'no', 'documentation': { 'description': '\nPerforms the following initialization actions:\n\n- Creates a new IVI instrument driver session.\n- Opens a session to the specified device using the interface and\n address that you specify for the **resourceName** parameter.\n- If the **IDQuery** parameter is set to VI_TRUE, this function\n queries the device ID and checks that the ID is valid for NI-FGEN.\n- If the **resetDevice** parameter is set to VI_TRUE, this function\n resets the device to a known state.\n- Sends initialization commands to set the device to the state\n necessary for the operation of NI-FGEN.\n- Returns a session handle that you can use to identify the device in\n all subsequent NI-FGEN function calls.\n' }, 'parameters': [ { 'direction': 'in', 'documentation': { 'caution': '\nTraditional NI-DAQ and NI-DAQmx device names are not case-sensitive.\nHowever, all IVI names, such as logical names, are case-sensitive. If\nyou use logical names, driver session names, or virtual names in your\nprogram, you must ensure that the name you use matches the name in the\nIVI Configuration Store file exactly, without any variations in the case\nof the characters.\n', 'description': '\n| Specifies the resource name of the device to initialize.\n\nFor Traditional NI-DAQ devices, the syntax is DAQ::\\ *n*, where *n* is\nthe device number assigned by MAX, as shown in Example 1.\n\nFor NI-DAQmx devices, the syntax is just the device name specified in\nMAX, as shown in Example 2. Typical default names for NI-DAQmx devices\nin MAX are Dev1 or PXI1Slot1. You can rename an NI-DAQmx device by\nright-clicking on the name in MAX and entering a new name.\n\nAn alternate syntax for NI-DAQmx devices consists of DAQ::\\ *NI-DAQmx\ndevice name*, as shown in Example 3. This naming convention allows for\nthe use of an NI-DAQmx device in an application that was originally\ndesigned for a Traditional NI-DAQ device. For example, if the\napplication expects DAQ::1, you can rename the NI-DAQmx device to 1 in\nMAX and pass in DAQ::1 for the resource name, as shown in Example 4.\n\nIf you use the DAQ::\\ *n* syntax and an NI-DAQmx device name already\nexists with that same name, the NI-DAQmx device is matched first.\n\nYou can also pass in the name of an IVI logical name or an IVI virtual\nname configured with the IVI Configuration utility, as shown in Example\n5. A logical name identifies a particular virtual instrument. A virtual\nname identifies a specific device and specifies the initial settings for\nthe session.\n', 'table_body': [ [ '1', 'Traditional NI-DAQ device', 'DAQ::\\ *1*', '(*1* = device number)' ], [ '2', 'NI-DAQmx device', '*myDAQmxDevice*', '(*myDAQmxDevice* = device name)' ], [ '3', 'NI-DAQmx device', 'DAQ::\\ *myDAQmxDevice*', '(*myDAQmxDevice* = device name)' ], [ '4', 'NI-DAQmx device', 'DAQ::\\ *2*', '(*2* = device name)' ], [ '5', 'IVI logical name or IVI virtual name', '*myLogicalName*', '(*myLogicalName* = name)' ] ], 'table_header': [ 'Example #', 'Device Type', 'Syntax', 'Variable' ] }, 'name': 'resourceName', 'type': 'ViRsrc' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies whether you want NI-FGEN to perform an ID query.\n\nWhen you set this parameter to VI_TRUE, NI-FGEN verifies that the\ndevice that you initialize is supported.\n\nCircumstances can arise where sending an ID query to the device is\nundesirable. When you set this parameter to VI_FALSE, the function\ninitializes the device without performing an ID query.\n\n****Defined Values****\n\n**Default Value**: VI_TRUE\n', 'table_body': [ [ 'VI_TRUE', 'Perform ID query' ], [ 'VI_FALSE', 'Skip ID query' ] ] }, 'name': 'idQuery', 'type': 'ViBoolean' }, { 'direction': 'in', 'documentation': { 'description': '\nSpecifies whether you want to reset the device during the initialization\nprocedure. VI_TRUE specifies that the device is reset and performs the\nsame function as the nifgen_Reset function.\n\n****Defined Values****\n\n**Default Value**: VI_TRUE\n', 'table_body': [ [ 'VI_TRUE', 'Reset device' ], [ 'VI_FALSE', 'Do not reset device' ] ] }, 'name': 'resetDevice', 'type': 'ViBoolean' }, { 'direction': 'out', 'documentation': { 'description': '\nReturns a session handle that you can use to identify the device in all\nsubsequent NI-FGEN function calls.\n' }, 'name': 'vi', 'type': 'ViSession' } ], 'returns': 'ViStatus' }, 'reset': { 'documentation': { 'description': '\nResets the instrument to a known state. This function aborts the\ngeneration, clears all routes, and resets session attributes to the\ndefault values. This function does not, however, commit the session\nproperties or configure the device hardware to its default state.\n', 'note': '\nFor the NI 5401/5404/5411/5431, this function exhibits the same\nbehavior as the nifgen_ResetDevice function.\n' }, 'parameters': [ { 'direction': 'in', 'documentation': { 'description': '\nIdentifies your instrument session. **vi** is obtained from the\nniFgen_init, nifgen_InitWithOptions, or nifgen_InitializeWithChannels\nfunctions and identifies a particular instrument session.\n' }, 'name': 'vi', 'type': 'ViSession' } ], 'returns': 'ViStatus' }, 'revision_query': { 'codegen_method': 'no', 'documentation': { 'description': 'Returns the revision numbers of the NI-FGEN and instrument firmware.' }, 'parameters': [ { 'direction': 'in', 'documentation': { 'description': '\nIdentifies your instrument session. **vi** is obtained from the\nniFgen_init, nifgen_InitWithOptions, or nifgen_InitializeWithChannels\nfunctions and identifies a particular instrument session.\n' }, 'name': 'vi', 'type': 'ViSession' }, { 'direction': 'out', 'documentation': { 'description': '\nReturns the NI-FGEN software revision numbers in the form of a string.\n\nYou must pass a ViChar array with at least 256 bytes.\n' }, 'name': 'instrumentDriverRevision', 'type': 'ViChar[]' }, { 'direction': 'out', 'documentation': { 'description': '\nReturns the instrument firmware revision numbers in the form of a\nstring.\n\nYou must pass a ViChar array with at least 256 bytes.\n' }, 'name': 'firmwareRevision', 'type': 'ViChar[]' } ], 'returns': 'ViStatus' }, 'self_test': { 'codegen_method': 'private', 'documentation': { 'description': 'Runs the instrument self-test routine and returns the test result(s).', 'note': '\nWhen used on some signal generators, the device is reset after the\nniFgen_self_test function runs. If you use the niFgen_self_test\nfunction, your device may not be in its previously configured state\nafter the function runs.\n' }, 'method_name_for_documentation': 'self_test', 'parameters': [ { 'direction': 'in', 'documentation': { 'description': '\nIdentifies your instrument session. **vi** is obtained from the\nniFgen_init, nifgen_InitWithOptions, or nifgen_InitializeWithChannels\nfunctions and identifies a particular instrument session.\n' }, 'name': 'vi', 'type': 'ViSession' }, { 'direction': 'out', 'documentation': { 'description': '\nContains the value returned from the instrument self-test. A value of 0\nindicates success.\n', 'table_body': [ [ '0', 'Passed self-test' ], [ '1', 'Self-test failed' ] ], 'table_header': [ 'Self-Test Code', 'Description' ] }, 'name': 'selfTestResult', 'type': 'ViInt16' }, { 'direction': 'out', 'documentation': { 'description': '\nReturns the self-test response string from the instrument.\n\nYou must pass a ViChar array with at least 256 bytes.\n' }, 'name': 'selfTestMessage', 'size': { 'mechanism': 'fixed', 'value': 256 }, 'type': 'ViChar[]' } ], 'returns': 'ViStatus' } }

52.856438

1,993

0.518571

38,567

417,883

5.55353

0.047943

0.079446

0.052441

0.075823

0.808939

0.783255

0.761321

0.738191

0.724703

0.70902

0

0.007812

0.38673

417,883

7,905

1,994

52.863125

0.827693

0.000208

0

0.569675

1

0.078218

0.604168

0.082706

0

0.000506

1

0

false

0.012277

0.000253

0

0.000253

0

null

0

1

0

1

0

1

0

1

0

null

0

9

fd24a019f577f72f2f8282c5356affaa41d4f9c4

58,686

py

Python

python/tests/liberty_example.py

thrile/cirkopt

b888d5ffa34033281acd58c45df1275425efb899

[ "MIT" ]

1

2020-12-28T20:03:41.000Z

python/tests/liberty_example.py

thrile/cirkopt

b888d5ffa34033281acd58c45df1275425efb899

[ "MIT" ]

46

2020-11-01T22:26:01.000Z

2021-03-19T17:22:33.000Z

python/tests/liberty_example.py

thrile/cirkopt

b888d5ffa34033281acd58c45df1275425efb899

[ "MIT" ]

null

# pylint: disable=too-many-lines # This file contains full example LDB files LIBERTY_EXAMPLE = r""" library (example_tt_1.0_70) { /* Models written by Liberate 18.1.0.293 from Cadence Design Systems, Inc. on Sun Feb 14 11:56:51 EST 2021 */ comment : ""; date : "$Date: Sun Feb 14 11:55:04 2021 $"; revision : "1.0"; delay_model : table_lookup; capacitive_load_unit (1,pf); current_unit : "1mA"; leakage_power_unit : "1nW"; pulling_resistance_unit : "1kohm"; time_unit : "1ns"; voltage_unit : "1V"; voltage_map (VDD, 1); voltage_map (VSS, 0); default_cell_leakage_power : 0; default_fanout_load : 1; default_max_transition : 0.3; default_output_pin_cap : 0; in_place_swap_mode : match_footprint; input_threshold_pct_fall : 50; input_threshold_pct_rise : 50; nom_process : 1; nom_temperature : 70; nom_voltage : 1; output_threshold_pct_fall : 50; output_threshold_pct_rise : 50; slew_derate_from_library : 1; slew_lower_threshold_pct_fall : 20; slew_lower_threshold_pct_rise : 20; slew_upper_threshold_pct_fall : 80; slew_upper_threshold_pct_rise : 80; operating_conditions (tt_1.0_70) { process : 1; temperature : 70; voltage : 1; } default_operating_conditions : tt_1.0_70; lu_table_template (const_template) { variable_1 : constrained_pin_transition; variable_2 : related_pin_transition; index_1 ("0.006, 0.3"); index_2 ("0.006, 0.3"); } lu_table_template (delay_template) { variable_1 : input_net_transition; variable_2 : total_output_net_capacitance; index_1 ("0.006, 0.3"); index_2 ("0.0001, 0.07"); } lu_table_template (mpw_const_template) { variable_1 : constrained_pin_transition; index_1 ("0.006, 0.3"); } power_lut_template (passive_power_template) { variable_1 : input_transition_time; index_1 ("0.006, 0.3"); } power_lut_template (power_template) { variable_1 : input_transition_time; variable_2 : total_output_net_capacitance; index_1 ("0.006, 0.3"); index_2 ("0.0001, 0.07"); } lu_table_template (waveform_template_name) { variable_1 : input_net_transition; variable_2 : normalized_voltage; index_1 ("0, 1"); index_2 ("0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16"); } normalized_driver_waveform (waveform_template_name) { driver_waveform_name : "PreDriver20.5:rise"; index_1 ("0.006, 0.3"); index_2 ("0, 0.05, 0.0543202, 0.126015, 0.2, 0.28178, 0.362839, 0.442588, 0.515655, 0.587655, 0.658428, 0.727955, 0.8, 0.849933, 0.897637, 0.949849, 1"); values ( \ "0, 0.001, 0.00105, 0.0015, 0.002, 0.0026, 0.00325, 0.00395, 0.00465, 0.0054, 0.0062, 0.00705, 0.008, 0.0087, 0.0094, 0.0102, 0.011", \ "0, 0.05, 0.0525, 0.075, 0.1, 0.13, 0.1625, 0.1975, 0.2325, 0.27, 0.31, 0.3525, 0.4, 0.435, 0.47, 0.51, 0.55" \ ); } normalized_driver_waveform (waveform_template_name) { driver_waveform_name : "PreDriver20.5:fall"; index_1 ("0.006, 0.3"); index_2 ("0, 0.05, 0.0543202, 0.126015, 0.2, 0.28178, 0.362839, 0.442588, 0.515655, 0.587655, 0.658428, 0.727955, 0.8, 0.849933, 0.897637, 0.949849, 1"); values ( \ "0, 0.001, 0.00105, 0.0015, 0.002, 0.0026, 0.00325, 0.00395, 0.00465, 0.0054, 0.0062, 0.00705, 0.008, 0.0087, 0.0094, 0.0102, 0.011", \ "0, 0.05, 0.0525, 0.075, 0.1, 0.13, 0.1625, 0.1975, 0.2325, 0.27, 0.31, 0.3525, 0.4, 0.435, 0.47, 0.51, 0.55" \ ); } normalized_driver_waveform (waveform_template_name) { index_1 ("0.006, 0.3"); index_2 ("0, 0.05, 0.0543202, 0.126015, 0.2, 0.28178, 0.362839, 0.442588, 0.515655, 0.587655, 0.658428, 0.727955, 0.8, 0.849933, 0.897637, 0.949849, 1"); values ( \ "0, 0.001, 0.00105, 0.0015, 0.002, 0.0026, 0.00325, 0.00395, 0.00465, 0.0054, 0.0062, 0.00705, 0.008, 0.0087, 0.0094, 0.0102, 0.011", \ "0, 0.05, 0.0525, 0.075, 0.1, 0.13, 0.1625, 0.1975, 0.2325, 0.27, 0.31, 0.3525, 0.4, 0.435, 0.47, 0.51, 0.55" \ ); } cell (INVX1_1) { area : 0.684; cell_footprint : "INV"; cell_leakage_power : 0.0419087; pg_pin (VDD) { pg_type : primary_power; voltage_name : "VDD"; } pg_pin (VSS) { pg_type : primary_ground; voltage_name : "VSS"; } leakage_power () { value : 0.0252871; when : "A"; related_pg_pin : VDD; } leakage_power () { value : 0.0585303; when : "!A"; related_pg_pin : VDD; } leakage_power () { value : 0.0419087; related_pg_pin : VDD; } pin (Y) { direction : output; function : "!A"; min_capacitance : 0.0001; power_down_function : "(!VDD) + (VSS)"; related_ground_pin : VSS; related_power_pin : VDD; max_capacitance : 0.07; timing () { related_pin : "A"; timing_sense : negative_unate; timing_type : combinational; cell_rise (delay_template) { index_1 ("0.006, 0.3"); index_2 ("0.0001, 0.07"); values ( \ "0.00832102, 0.489515", \ "0.0672285, 0.668921" \ ); } rise_transition (delay_template) { index_1 ("0.006, 0.3"); index_2 ("0.0001, 0.07"); values ( \ "0.00473799, 0.679718", \ "0.0474931, 0.679714" \ ); } cell_fall (delay_template) { index_1 ("0.006, 0.3"); index_2 ("0.0001, 0.07"); values ( \ "0.00762433, 0.403115", \ "0.0508851, 0.576593" \ ); } fall_transition (delay_template) { index_1 ("0.006, 0.3"); index_2 ("0.0001, 0.07"); values ( \ "0.00387208, 0.558002", \ "0.0469762, 0.557815" \ ); } } internal_power () { related_pin : "A"; related_pg_pin : VDD; rise_power (power_template) { index_1 ("0.006, 0.3"); index_2 ("0.0001, 0.07"); values ( \ "0.000515676, 0.000532389", \ "0.000526963, 0.000499179" \ ); } fall_power (power_template) { index_1 ("0.006, 0.3"); index_2 ("0.0001, 0.07"); values ( \ "-1.06866e-05, 2.29925e-05", \ "-7.57353e-06, 1.24871e-05" \ ); } } } pin (A) { driver_waveform_fall : "PreDriver20.5:fall"; driver_waveform_rise : "PreDriver20.5:rise"; direction : input; related_ground_pin : VSS; related_power_pin : VDD; max_transition : 0.3; capacitance : 0.000534564; rise_capacitance : 0.000534564; rise_capacitance_range (0.000419181, 0.000534564); fall_capacitance : 0.00053418; fall_capacitance_range (0.000405789, 0.00053418); } } cell (INVX1_2) { area : 0; cell_leakage_power : 0.0308355; pg_pin (VDD) { pg_type : primary_power; voltage_name : "VDD"; } pg_pin (VSS) { pg_type : primary_ground; voltage_name : "VSS"; } leakage_power () { value : 0.0180438; when : "A"; related_pg_pin : VDD; } leakage_power () { value : 0.0436272; when : "!A"; related_pg_pin : VDD; } leakage_power () { value : 0.0308355; related_pg_pin : VDD; } pin (Y) { direction : output; function : "!A"; min_capacitance : 0.0001; power_down_function : "(!VDD) + (VSS)"; related_ground_pin : VSS; related_power_pin : VDD; max_capacitance : 0.07; timing () { related_pin : "A"; timing_sense : negative_unate; timing_type : combinational; cell_rise (delay_template) { index_1 ("0.006, 0.3"); index_2 ("0.0001, 0.07"); values ( \ "0.0102831, 0.887086", \ "0.0790586, 1.06402" \ ); } rise_transition (delay_template) { index_1 ("0.006, 0.3"); index_2 ("0.0001, 0.07"); values ( \ "0.00712152, 1.2387", \ "0.0530544, 1.23876" \ ); } cell_fall (delay_template) { index_1 ("0.006, 0.3"); index_2 ("0.0001, 0.07"); values ( \ "0.00748415, 0.512267", \ "0.0503829, 0.685214" \ ); } fall_transition (delay_template) { index_1 ("0.006, 0.3"); index_2 ("0.0001, 0.07"); values ( \ "0.00419125, 0.711806", \ "0.049188, 0.711775" \ ); } } internal_power () { related_pin : "A"; related_pg_pin : VDD; rise_power (power_template) { index_1 ("0.006, 0.3"); index_2 ("0.0001, 0.07"); values ( \ "0.000332321, 0.000333744", \ "0.000339105, 0.00031275" \ ); } fall_power (power_template) { index_1 ("0.006, 0.3"); index_2 ("0.0001, 0.07"); values ( \ "5.18522e-05, 6.68114e-05", \ "5.92076e-05, 6.3818e-05" \ ); } } } pin (A) { driver_waveform_fall : "PreDriver20.5:fall"; driver_waveform_rise : "PreDriver20.5:rise"; direction : input; related_ground_pin : VSS; related_power_pin : VDD; max_transition : 0.3; capacitance : 0.000325899; rise_capacitance : 0.000325899; rise_capacitance_range (0.000255041, 0.000325899); fall_capacitance : 0.00032576; fall_capacitance_range (0.000250233, 0.00032576); } } cell (INVX1_3) { area : 0; cell_leakage_power : 0.0402848; pg_pin (VDD) { pg_type : primary_power; voltage_name : "VDD"; } pg_pin (VSS) { pg_type : primary_ground; voltage_name : "VSS"; } leakage_power () { value : 0.0239827; when : "A"; related_pg_pin : VDD; } leakage_power () { value : 0.0565869; when : "!A"; related_pg_pin : VDD; } leakage_power () { value : 0.0402848; related_pg_pin : VDD; } pin (Y) { direction : output; function : "!A"; min_capacitance : 0.0001; power_down_function : "(!VDD) + (VSS)"; related_ground_pin : VSS; related_power_pin : VDD; max_capacitance : 0.07; timing () { related_pin : "A"; timing_sense : negative_unate; timing_type : combinational; cell_rise (delay_template) { index_1 ("0.006, 0.3"); index_2 ("0.0001, 0.07"); values ( \ "0.00935542, 0.626023", \ "0.0733304, 0.803784" \ ); } rise_transition (delay_template) { index_1 ("0.006, 0.3"); index_2 ("0.0001, 0.07"); values ( \ "0.00578095, 0.871345", \ "0.0492911, 0.871325" \ ); } cell_fall (delay_template) { index_1 ("0.006, 0.3"); index_2 ("0.0001, 0.07"); values ( \ "0.00693003, 0.354652", \ "0.0452878, 0.528981" \ ); } fall_transition (delay_template) { index_1 ("0.006, 0.3"); index_2 ("0.0001, 0.07"); values ( \ "0.00342839, 0.489812", \ "0.0458249, 0.490142" \ ); } } internal_power () { related_pin : "A"; related_pg_pin : VDD; rise_power (power_template) { index_1 ("0.006, 0.3"); index_2 ("0.0001, 0.07"); values ( \ "0.000460079, 0.000477935", \ "0.000470185, 0.00044778" \ ); } fall_power (power_template) { index_1 ("0.006, 0.3"); index_2 ("0.0001, 0.07"); values ( \ "1.78626e-05, 4.35176e-05", \ "2.60666e-05, 3.69194e-05" \ ); } } } pin (A) { driver_waveform_fall : "PreDriver20.5:fall"; driver_waveform_rise : "PreDriver20.5:rise"; direction : input; related_ground_pin : VSS; related_power_pin : VDD; max_transition : 0.3; capacitance : 0.000487621; rise_capacitance : 0.000487621; rise_capacitance_range (0.000381212, 0.000487621); fall_capacitance : 0.000487424; fall_capacitance_range (0.000374154, 0.000487424); } } cell (INVX1_4) { area : 0; cell_leakage_power : 0.0527119; pg_pin (VDD) { pg_type : primary_power; voltage_name : "VDD"; } pg_pin (VSS) { pg_type : primary_ground; voltage_name : "VSS"; } leakage_power () { value : 0.0302401; when : "A"; related_pg_pin : VDD; } leakage_power () { value : 0.0751838; when : "!A"; related_pg_pin : VDD; } leakage_power () { value : 0.0527119; related_pg_pin : VDD; } pin (Y) { direction : output; function : "!A"; min_capacitance : 0.0001; power_down_function : "(!VDD) + (VSS)"; related_ground_pin : VSS; related_power_pin : VDD; max_capacitance : 0.07; timing () { related_pin : "A"; timing_sense : negative_unate; timing_type : combinational; cell_rise (delay_template) { index_1 ("0.006, 0.3"); index_2 ("0.0001, 0.07"); values ( \ "0.00880019, 0.478776", \ "0.0711915, 0.658158" \ ); } rise_transition (delay_template) { index_1 ("0.006, 0.3"); index_2 ("0.0001, 0.07"); values ( \ "0.00499155, 0.66391", \ "0.0471397, 0.663896" \ ); } cell_fall (delay_template) { index_1 ("0.006, 0.3"); index_2 ("0.0001, 0.07"); values ( \ "0.00656211, 0.267587", \ "0.0402841, 0.441764" \ ); } fall_transition (delay_template) { index_1 ("0.006, 0.3"); index_2 ("0.0001, 0.07"); values ( \ "0.00301863, 0.368213", \ "0.0442559, 0.37289" \ ); } } internal_power () { related_pin : "A"; related_pg_pin : VDD; rise_power (power_template) { index_1 ("0.006, 0.3"); index_2 ("0.0001, 0.07"); values ( \ "0.00058473, 0.000620399", \ "0.000599821, 0.000573079" \ ); } fall_power (power_template) { index_1 ("0.006, 0.3"); index_2 ("0.0001, 0.07"); values ( \ "-1.64312e-05, 2.0742e-05", \ "-3.91262e-06, 9.39519e-06" \ ); } } } pin (A) { driver_waveform_fall : "PreDriver20.5:fall"; driver_waveform_rise : "PreDriver20.5:rise"; direction : input; related_ground_pin : VSS; related_power_pin : VDD; max_transition : 0.3; capacitance : 0.000648431; rise_capacitance : 0.000648431; rise_capacitance_range (0.000506406, 0.000648431); fall_capacitance : 0.000647943; fall_capacitance_range (0.000496935, 0.000647943); } } cell (INVX1_5) { area : 0; cell_leakage_power : 0.0646564; pg_pin (VDD) { pg_type : primary_power; voltage_name : "VDD"; } pg_pin (VSS) { pg_type : primary_ground; voltage_name : "VSS"; } leakage_power () { value : 0.0365597; when : "A"; related_pg_pin : VDD; } leakage_power () { value : 0.0927531; when : "!A"; related_pg_pin : VDD; } leakage_power () { value : 0.0646564; related_pg_pin : VDD; } pin (Y) { direction : output; function : "!A"; min_capacitance : 0.0001; power_down_function : "(!VDD) + (VSS)"; related_ground_pin : VSS; related_power_pin : VDD; max_capacitance : 0.07; timing () { related_pin : "A"; timing_sense : negative_unate; timing_type : combinational; cell_rise (delay_template) { index_1 ("0.006, 0.3"); index_2 ("0.0001, 0.07"); values ( \ "0.00846291, 0.388352", \ "0.0696257, 0.567804" \ ); } rise_transition (delay_template) { index_1 ("0.006, 0.3"); index_2 ("0.0001, 0.07"); values ( \ "0.00451463, 0.536668", \ "0.0457931, 0.536651" \ ); } cell_fall (delay_template) { index_1 ("0.006, 0.3"); index_2 ("0.0001, 0.07"); values ( \ "0.00634244, 0.215824", \ "0.0371641, 0.3898" \ ); } fall_transition (delay_template) { index_1 ("0.006, 0.3"); index_2 ("0.0001, 0.07"); values ( \ "0.00279269, 0.295907", \ "0.0430901, 0.306558" \ ); } } internal_power () { related_pin : "A"; related_pg_pin : VDD; rise_power (power_template) { index_1 ("0.006, 0.3"); index_2 ("0.0001, 0.07"); values ( \ "0.000708463, 0.000755716", \ "0.000729657, 0.000598" \ ); } fall_power (power_template) { index_1 ("0.006, 0.3"); index_2 ("0.0001, 0.07"); values ( \ "-5.12417e-05, -2.02331e-06", \ "-3.49559e-05, -1.9504e-05" \ ); } } } pin (A) { driver_waveform_fall : "PreDriver20.5:fall"; driver_waveform_rise : "PreDriver20.5:rise"; direction : input; related_ground_pin : VSS; related_power_pin : VDD; max_transition : 0.3; capacitance : 0.00080969; rise_capacitance : 0.00080969; rise_capacitance_range (0.000631629, 0.00080969); fall_capacitance : 0.000809206; fall_capacitance_range (0.000619401, 0.000809206); } } cell (INVX1_6) { area : 0; cell_leakage_power : 0.0785189; pg_pin (VDD) { pg_type : primary_power; voltage_name : "VDD"; } pg_pin (VSS) { pg_type : primary_ground; voltage_name : "VSS"; } leakage_power () { value : 0.0437469; when : "A"; related_pg_pin : VDD; } leakage_power () { value : 0.113291; when : "!A"; related_pg_pin : VDD; } leakage_power () { value : 0.0785189; related_pg_pin : VDD; } pin (Y) { direction : output; function : "!A"; min_capacitance : 0.0001; power_down_function : "(!VDD) + (VSS)"; related_ground_pin : VSS; related_power_pin : VDD; max_capacitance : 0.07; timing () { related_pin : "A"; timing_sense : negative_unate; timing_type : combinational; cell_rise (delay_template) { index_1 ("0.006, 0.3"); index_2 ("0.0001, 0.07"); values ( \ "0.00817958, 0.32283", \ "0.0672366, 0.501756" \ ); } rise_transition (delay_template) { index_1 ("0.006, 0.3"); index_2 ("0.0001, 0.07"); values ( \ "0.00416405, 0.444895", \ "0.0448263, 0.445742" \ ); } cell_fall (delay_template) { index_1 ("0.006, 0.3"); index_2 ("0.0001, 0.07"); values ( \ "0.00618273, 0.181402", \ "0.0347399, 0.354106" \ ); } fall_transition (delay_template) { index_1 ("0.006, 0.3"); index_2 ("0.0001, 0.07"); values ( \ "0.0026502, 0.248033", \ "0.0423827, 0.263408" \ ); } } internal_power () { related_pin : "A"; related_pg_pin : VDD; rise_power (power_template) { index_1 ("0.006, 0.3"); index_2 ("0.0001, 0.07"); values ( \ "0.000834291, 0.000895776", \ "0.000864675, 0.000646118" \ ); } fall_power (power_template) { index_1 ("0.006, 0.3"); index_2 ("0.0001, 0.07"); values ( \ "-8.67518e-05, -2.4787e-05", \ "-6.07971e-05, -5.00498e-05" \ ); } } } pin (A) { driver_waveform_fall : "PreDriver20.5:fall"; driver_waveform_rise : "PreDriver20.5:rise"; direction : input; related_ground_pin : VSS; related_power_pin : VDD; max_transition : 0.3; capacitance : 0.000970918; rise_capacitance : 0.000970918; rise_capacitance_range (0.000756715, 0.000970918); fall_capacitance : 0.000970119; fall_capacitance_range (0.000741904, 0.000970119); } } cell (INVX1_7) { area : 0; cell_leakage_power : 0.0920984; pg_pin (VDD) { pg_type : primary_power; voltage_name : "VDD"; } pg_pin (VSS) { pg_type : primary_ground; voltage_name : "VSS"; } leakage_power () { value : 0.0508982; when : "A"; related_pg_pin : VDD; } leakage_power () { value : 0.133299; when : "!A"; related_pg_pin : VDD; } leakage_power () { value : 0.0920984; related_pg_pin : VDD; } pin (Y) { direction : output; function : "!A"; min_capacitance : 0.0001; power_down_function : "(!VDD) + (VSS)"; related_ground_pin : VSS; related_power_pin : VDD; max_capacitance : 0.07; timing () { related_pin : "A"; timing_sense : negative_unate; timing_type : combinational; cell_rise (delay_template) { index_1 ("0.006, 0.3"); index_2 ("0.0001, 0.07"); values ( \ "0.00796714, 0.276713", \ "0.0654463, 0.456428" \ ); } rise_transition (delay_template) { index_1 ("0.006, 0.3"); index_2 ("0.0001, 0.07"); values ( \ "0.00392245, 0.380251", \ "0.0439822, 0.383278" \ ); } cell_fall (delay_template) { index_1 ("0.006, 0.3"); index_2 ("0.0001, 0.07"); values ( \ "0.00607126, 0.156818", \ "0.0330491, 0.330968" \ ); } fall_transition (delay_template) { index_1 ("0.006, 0.3"); index_2 ("0.0001, 0.07"); values ( \ "0.00255807, 0.213582", \ "0.041763, 0.235242" \ ); } } internal_power () { related_pin : "A"; related_pg_pin : VDD; rise_power (power_template) { index_1 ("0.006, 0.3"); index_2 ("0.0001, 0.07"); values ( \ "0.000957249, 0.00103578", \ "0.000998892, 0.000846239" \ ); } fall_power (power_template) { index_1 ("0.006, 0.3"); index_2 ("0.0001, 0.07"); values ( \ "-0.000123022, -4.79343e-05", \ "-8.6827e-05, -7.95311e-05" \ ); } } } pin (A) { driver_waveform_fall : "PreDriver20.5:fall"; driver_waveform_rise : "PreDriver20.5:rise"; direction : input; related_ground_pin : VSS; related_power_pin : VDD; max_transition : 0.3; capacitance : 0.00113144; rise_capacitance : 0.00113127; rise_capacitance_range (0.000881615, 0.00113127); fall_capacitance : 0.00113144; fall_capacitance_range (0.000864691, 0.00113144); } } cell (INVX1_8) { area : 0; cell_leakage_power : 0.105498; pg_pin (VDD) { pg_type : primary_power; voltage_name : "VDD"; } pg_pin (VSS) { pg_type : primary_ground; voltage_name : "VSS"; } leakage_power () { value : 0.0580264; when : "A"; related_pg_pin : VDD; } leakage_power () { value : 0.15297; when : "!A"; related_pg_pin : VDD; } leakage_power () { value : 0.105498; related_pg_pin : VDD; } pin (Y) { direction : output; function : "!A"; min_capacitance : 0.0001; power_down_function : "(!VDD) + (VSS)"; related_ground_pin : VSS; related_power_pin : VDD; max_capacitance : 0.07; timing () { related_pin : "A"; timing_sense : negative_unate; timing_type : combinational; cell_rise (delay_template) { index_1 ("0.006, 0.3"); index_2 ("0.0001, 0.07"); values ( \ "0.00782771, 0.242445", \ "0.0640842, 0.421923" \ ); } rise_transition (delay_template) { index_1 ("0.006, 0.3"); index_2 ("0.0001, 0.07"); values ( \ "0.0037493, 0.332128", \ "0.0434084, 0.338033" \ ); } cell_fall (delay_template) { index_1 ("0.006, 0.3"); index_2 ("0.0001, 0.07"); values ( \ "0.00599312, 0.138344", \ "0.0318036, 0.311627" \ ); } fall_transition (delay_template) { index_1 ("0.006, 0.3"); index_2 ("0.0001, 0.07"); values ( \ "0.00248957, 0.187851", \ "0.0413691, 0.214097" \ ); } } internal_power () { related_pin : "A"; related_pg_pin : VDD; rise_power (power_template) { index_1 ("0.006, 0.3"); index_2 ("0.0001, 0.07"); values ( \ "0.00108121, 0.00116872", \ "0.00113333, 0.000908158" \ ); } fall_power (power_template) { index_1 ("0.006, 0.3"); index_2 ("0.0001, 0.07"); values ( \ "-0.00015899, -7.11158e-05", \ "-0.000113291, -0.000111612" \ ); } } } pin (A) { driver_waveform_fall : "PreDriver20.5:fall"; driver_waveform_rise : "PreDriver20.5:rise"; direction : input; related_ground_pin : VSS; related_power_pin : VDD; max_transition : 0.3; capacitance : 0.00129324; rise_capacitance : 0.00129324; rise_capacitance_range (0.00100685, 0.00129324); fall_capacitance : 0.00129265; fall_capacitance_range (0.000986922, 0.00129265); } } cell (INVX1_9) { area : 0; cell_leakage_power : 0.118778; pg_pin (VDD) { pg_type : primary_power; voltage_name : "VDD"; } pg_pin (VSS) { pg_type : primary_ground; voltage_name : "VSS"; } leakage_power () { value : 0.0651389; when : "A"; related_pg_pin : VDD; } leakage_power () { value : 0.172417; when : "!A"; related_pg_pin : VDD; } leakage_power () { value : 0.118778; related_pg_pin : VDD; } pin (Y) { direction : output; function : "!A"; min_capacitance : 0.0001; power_down_function : "(!VDD) + (VSS)"; related_ground_pin : VSS; related_power_pin : VDD; max_capacitance : 0.07; timing () { related_pin : "A"; timing_sense : negative_unate; timing_type : combinational; cell_rise (delay_template) { index_1 ("0.006, 0.3"); index_2 ("0.0001, 0.07"); values ( \ "0.00774737, 0.216002", \ "0.0632206, 0.396036" \ ); } rise_transition (delay_template) { index_1 ("0.006, 0.3"); index_2 ("0.0001, 0.07"); values ( \ "0.00363749, 0.295011", \ "0.0429599, 0.303888" \ ); } cell_fall (delay_template) { index_1 ("0.006, 0.3"); index_2 ("0.0001, 0.07"); values ( \ "0.00595691, 0.123996", \ "0.0309008, 0.296176" \ ); } fall_transition (delay_template) { index_1 ("0.006, 0.3"); index_2 ("0.0001, 0.07"); values ( \ "0.0024496, 0.167634", \ "0.0411013, 0.19859" \ ); } } internal_power () { related_pin : "A"; related_pg_pin : VDD; rise_power (power_template) { index_1 ("0.006, 0.3"); index_2 ("0.0001, 0.07"); values ( \ "0.00121041, 0.0013138", \ "0.00127051, 0.00111271" \ ); } fall_power (power_template) { index_1 ("0.006, 0.3"); index_2 ("0.0001, 0.07"); values ( \ "-0.000194965, -9.4262e-05", \ "-0.000140333, -0.000143678" \ ); } } } pin (A) { driver_waveform_fall : "PreDriver20.5:fall"; driver_waveform_rise : "PreDriver20.5:rise"; direction : input; related_ground_pin : VSS; related_power_pin : VDD; max_transition : 0.3; capacitance : 0.00145424; rise_capacitance : 0.00145424; rise_capacitance_range (0.00113175, 0.00145424); fall_capacitance : 0.00145248; fall_capacitance_range (0.00110945, 0.00145248); } } cell (INVX1_10) { area : 0; cell_leakage_power : 0.132367; pg_pin (VDD) { pg_type : primary_power; voltage_name : "VDD"; } pg_pin (VSS) { pg_type : primary_ground; voltage_name : "VSS"; } leakage_power () { value : 0.072241; when : "A"; related_pg_pin : VDD; } leakage_power () { value : 0.192493; when : "!A"; related_pg_pin : VDD; } leakage_power () { value : 0.132367; related_pg_pin : VDD; } pin (Y) { direction : output; function : "!A"; min_capacitance : 0.0001; power_down_function : "(!VDD) + (VSS)"; related_ground_pin : VSS; related_power_pin : VDD; max_capacitance : 0.07; timing () { related_pin : "A"; timing_sense : negative_unate; timing_type : combinational; cell_rise (delay_template) { index_1 ("0.006, 0.3"); index_2 ("0.0001, 0.07"); values ( \ "0.00769541, 0.194961", \ "0.0625122, 0.375119" \ ); } rise_transition (delay_template) { index_1 ("0.006, 0.3"); index_2 ("0.0001, 0.07"); values ( \ "0.00355132, 0.265436", \ "0.0427959, 0.277368" \ ); } cell_fall (delay_template) { index_1 ("0.006, 0.3"); index_2 ("0.0001, 0.07"); values ( \ "0.00592777, 0.112425", \ "0.0301818, 0.283755" \ ); } fall_transition (delay_template) { index_1 ("0.006, 0.3"); index_2 ("0.0001, 0.07"); values ( \ "0.00241873, 0.151419", \ "0.0408986, 0.18689" \ ); } } internal_power () { related_pin : "A"; related_pg_pin : VDD; rise_power (power_template) { index_1 ("0.006, 0.3"); index_2 ("0.0001, 0.07"); values ( \ "0.00133992, 0.00145263", \ "0.00141191, 0.00125156" \ ); } fall_power (power_template) { index_1 ("0.006, 0.3"); index_2 ("0.0001, 0.07"); values ( \ "-0.000230975, -0.000117127", \ "-0.000166864, -0.000175497" \ ); } } } pin (A) { driver_waveform_fall : "PreDriver20.5:fall"; driver_waveform_rise : "PreDriver20.5:rise"; direction : input; related_ground_pin : VSS; related_power_pin : VDD; max_transition : 0.3; capacitance : 0.00161487; rise_capacitance : 0.00161487; rise_capacitance_range (0.0012557, 0.00161487); fall_capacitance : 0.00161477; fall_capacitance_range (0.00123052, 0.00161477); } } } """ LIBERTY_F3E7F6B4_EXAMPLE = r""" library (example_tt_1.0_70) { /* Models written by Liberate 18.1.0.293 from Cadence Design Systems, Inc. on Sun Mar 7 14:19:52 EST 2021 */ comment : ""; date : "$Date: Sun Mar 7 14:18:11 2021 $"; revision : "1.0"; delay_model : table_lookup; capacitive_load_unit (1,pf); current_unit : "1mA"; leakage_power_unit : "1nW"; pulling_resistance_unit : "1kohm"; time_unit : "1ns"; voltage_unit : "1V"; voltage_map (VDD, 1); voltage_map (VSS, 0); default_cell_leakage_power : 0; default_fanout_load : 1; default_max_transition : 0.3; default_output_pin_cap : 0; in_place_swap_mode : match_footprint; input_threshold_pct_fall : 50; input_threshold_pct_rise : 50; nom_process : 1; nom_temperature : 70; nom_voltage : 1; output_threshold_pct_fall : 50; output_threshold_pct_rise : 50; slew_derate_from_library : 1; slew_lower_threshold_pct_fall : 20; slew_lower_threshold_pct_rise : 20; slew_upper_threshold_pct_fall : 80; slew_upper_threshold_pct_rise : 80; operating_conditions (tt_1.0_70) { process : 1; temperature : 70; voltage : 1; } default_operating_conditions : tt_1.0_70; lu_table_template (const_template) { variable_1 : constrained_pin_transition; variable_2 : related_pin_transition; index_1 ("0.006, 0.3"); index_2 ("0.006, 0.3"); } lu_table_template (delay_template) { variable_1 : input_net_transition; variable_2 : total_output_net_capacitance; index_1 ("0.006, 0.3"); index_2 ("0.0001, 0.07"); } lu_table_template (mpw_const_template) { variable_1 : constrained_pin_transition; index_1 ("0.006, 0.3"); } power_lut_template (passive_power_template) { variable_1 : input_transition_time; index_1 ("0.006, 0.3"); } power_lut_template (power_template) { variable_1 : input_transition_time; variable_2 : total_output_net_capacitance; index_1 ("0.006, 0.3"); index_2 ("0.0001, 0.07"); } cell (INVX1_00) { area : 0; cell_leakage_power : 0.0308355; pg_pin (VDD) { pg_type : primary_power; voltage_name : "VDD"; } pg_pin (VSS) { pg_type : primary_ground; voltage_name : "VSS"; } leakage_power () { value : 0.0180438; when : "A"; related_pg_pin : VDD; } leakage_power () { value : 0.0436272; when : "!A"; related_pg_pin : VDD; } leakage_power () { value : 0.0308355; related_pg_pin : VDD; } pin (Y) { direction : output; function : "!A"; min_capacitance : 0.0001; power_down_function : "(!VDD) + (VSS)"; related_ground_pin : VSS; related_power_pin : VDD; max_capacitance : 0.07; timing () { related_pin : "A"; timing_sense : negative_unate; timing_type : combinational; cell_rise (delay_template) { index_1 ("0.006, 0.3"); index_2 ("0.0001, 0.07"); values ( \ "0.00958782, 0.886114", \ "0.077001, 1.03111" \ ); } rise_transition (delay_template) { index_1 ("0.006, 0.3"); index_2 ("0.0001, 0.07"); values ( \ "0.00712193, 1.23877", \ "0.0500621, 1.23877" \ ); } cell_fall (delay_template) { index_1 ("0.006, 0.3"); index_2 ("0.0001, 0.07"); values ( \ "0.00684512, 0.511206", \ "0.0497121, 0.654289" \ ); } fall_transition (delay_template) { index_1 ("0.006, 0.3"); index_2 ("0.0001, 0.07"); values ( \ "0.00406313, 0.711752", \ "0.0482117, 0.711534" \ ); } } internal_power () { related_pin : "A"; related_pg_pin : VDD; rise_power (power_template) { index_1 ("0.006, 0.3"); index_2 ("0.0001, 0.07"); values ( \ "0.000329189, 0.000325682", \ "0.000340793, 0.000263972" \ ); } fall_power (power_template) { index_1 ("0.006, 0.3"); index_2 ("0.0001, 0.07"); values ( \ "5.0248e-05, 6.79432e-05", \ "6.34413e-05, 6.29983e-05" \ ); } } } pin (A) { direction : input; related_ground_pin : VSS; related_power_pin : VDD; max_transition : 0.3; capacitance : 0.00032571; rise_capacitance : 0.000325689; rise_capacitance_range (0.000252438, 0.000325689); fall_capacitance : 0.00032571; fall_capacitance_range (0.000247423, 0.00032571); } } cell (INVX1_01) { area : 0; cell_leakage_power : 0.0402848; pg_pin (VDD) { pg_type : primary_power; voltage_name : "VDD"; } pg_pin (VSS) { pg_type : primary_ground; voltage_name : "VSS"; } leakage_power () { value : 0.0239827; when : "A"; related_pg_pin : VDD; } leakage_power () { value : 0.0565869; when : "!A"; related_pg_pin : VDD; } leakage_power () { value : 0.0402848; related_pg_pin : VDD; } pin (Y) { direction : output; function : "!A"; min_capacitance : 0.0001; power_down_function : "(!VDD) + (VSS)"; related_ground_pin : VSS; related_power_pin : VDD; max_capacitance : 0.07; timing () { related_pin : "A"; timing_sense : negative_unate; timing_type : combinational; cell_rise (delay_template) { index_1 ("0.006, 0.3"); index_2 ("0.0001, 0.07"); values ( \ "0.00865761, 0.624445", \ "0.0716466, 0.771535" \ ); } rise_transition (delay_template) { index_1 ("0.006, 0.3"); index_2 ("0.0001, 0.07"); values ( \ "0.00578074, 0.871343", \ "0.0466966, 0.871339" \ ); } cell_fall (delay_template) { index_1 ("0.006, 0.3"); index_2 ("0.0001, 0.07"); values ( \ "0.00628653, 0.353642", \ "0.0448028, 0.497867" \ ); } fall_transition (delay_template) { index_1 ("0.006, 0.3"); index_2 ("0.0001, 0.07"); values ( \ "0.00324111, 0.489809", \ "0.0452681, 0.489792" \ ); } } internal_power () { related_pin : "A"; related_pg_pin : VDD; rise_power (power_template) { index_1 ("0.006, 0.3"); index_2 ("0.0001, 0.07"); values ( \ "0.000455712, 0.000448015", \ "0.000471108, 0.00041226" \ ); } fall_power (power_template) { index_1 ("0.006, 0.3"); index_2 ("0.0001, 0.07"); values ( \ "1.56884e-05, 4.51785e-05", \ "3.27622e-05, 3.53862e-05" \ ); } } } pin (A) { direction : input; related_ground_pin : VSS; related_power_pin : VDD; max_transition : 0.3; capacitance : 0.000487459; rise_capacitance : 0.000487459; rise_capacitance_range (0.00037731, 0.000487459); fall_capacitance : 0.000487294; fall_capacitance_range (0.000368444, 0.000487294); } } cell (INVX1_02) { area : 0; cell_leakage_power : 0.061734; pg_pin (VDD) { pg_type : primary_power; voltage_name : "VDD"; } pg_pin (VSS) { pg_type : primary_ground; voltage_name : "VSS"; } leakage_power () { value : 0.0482412; when : "A"; related_pg_pin : VDD; } leakage_power () { value : 0.0752268; when : "!A"; related_pg_pin : VDD; } leakage_power () { value : 0.061734; related_pg_pin : VDD; } pin (Y) { direction : output; function : "!A"; min_capacitance : 0.0001; power_down_function : "(!VDD) + (VSS)"; related_ground_pin : VSS; related_power_pin : VDD; max_capacitance : 0.07; timing () { related_pin : "A"; timing_sense : negative_unate; timing_type : combinational; cell_rise (delay_template) { index_1 ("0.006, 0.3"); index_2 ("0.0001, 0.07"); values ( \ "0.00566542, 0.173027", \ "0.0421499, 0.32172" \ ); } rise_transition (delay_template) { index_1 ("0.006, 0.3"); index_2 ("0.0001, 0.07"); values ( \ "0.00255989, 0.237422", \ "0.0435143, 0.241203" \ ); } cell_fall (delay_template) { index_1 ("0.006, 0.3"); index_2 ("0.0001, 0.07"); values ( \ "0.0149183, 0.747261", \ "0.090038, 0.887413" \ ); } fall_transition (delay_template) { index_1 ("0.006, 0.3"); index_2 ("0.0001, 0.07"); values ( \ "0.00963738, 1.03381", \ "0.0528215, 1.03379" \ ); } } internal_power () { related_pin : "A"; related_pg_pin : VDD; rise_power (power_template) { index_1 ("0.006, 0.3"); index_2 ("0.0001, 0.07"); values ( \ "0.00105264, 0.00101919", \ "0.00105517, 0.000908843" \ ); } fall_power (power_template) { index_1 ("0.006, 0.3"); index_2 ("0.0001, 0.07"); values ( \ "-0.000261067, -0.000135766", \ "-0.000302493, -0.000221728" \ ); } } } pin (A) { direction : input; related_ground_pin : VSS; related_power_pin : VDD; max_transition : 0.3; capacitance : 0.00105686; rise_capacitance : 0.00105686; rise_capacitance_range (0.000794455, 0.00105686); fall_capacitance : 0.00105382; fall_capacitance_range (0.000764658, 0.00105382); } } cell (INVX1_03) { area : 0; cell_leakage_power : 0.0646564; pg_pin (VDD) { pg_type : primary_power; voltage_name : "VDD"; } pg_pin (VSS) { pg_type : primary_ground; voltage_name : "VSS"; } leakage_power () { value : 0.0365597; when : "A"; related_pg_pin : VDD; } leakage_power () { value : 0.0927531; when : "!A"; related_pg_pin : VDD; } leakage_power () { value : 0.0646564; related_pg_pin : VDD; } pin (Y) { direction : output; function : "!A"; min_capacitance : 0.0001; power_down_function : "(!VDD) + (VSS)"; related_ground_pin : VSS; related_power_pin : VDD; max_capacitance : 0.07; timing () { related_pin : "A"; timing_sense : negative_unate; timing_type : combinational; cell_rise (delay_template) { index_1 ("0.006, 0.3"); index_2 ("0.0001, 0.07"); values ( \ "0.00776497, 0.387615", \ "0.0682042, 0.536191" \ ); } rise_transition (delay_template) { index_1 ("0.006, 0.3"); index_2 ("0.0001, 0.07"); values ( \ "0.00451478, 0.536667", \ "0.0435081, 0.536623" \ ); } cell_fall (delay_template) { index_1 ("0.006, 0.3"); index_2 ("0.0001, 0.07"); values ( \ "0.00570371, 0.215043", \ "0.036798, 0.359447" \ ); } fall_transition (delay_template) { index_1 ("0.006, 0.3"); index_2 ("0.0001, 0.07"); values ( \ "0.00254053, 0.295933", \ "0.0429162, 0.297569" \ ); } } internal_power () { related_pin : "A"; related_pg_pin : VDD; rise_power (power_template) { index_1 ("0.006, 0.3"); index_2 ("0.0001, 0.07"); values ( \ "0.000703449, 0.000751551", \ "0.000729888, 0.000657384" \ ); } fall_power (power_template) { index_1 ("0.006, 0.3"); index_2 ("0.0001, 0.07"); values ( \ "-5.50469e-05, -6.44977e-07", \ "-2.32345e-05, -2.27052e-05" \ ); } } } pin (A) { direction : input; related_ground_pin : VSS; related_power_pin : VDD; max_transition : 0.3; capacitance : 0.000808181; rise_capacitance : 0.000808181; rise_capacitance_range (0.00062773, 0.000808181); fall_capacitance : 0.000808073; fall_capacitance_range (0.000617281, 0.000808073); } } cell (INVX1_04) { area : 0; cell_leakage_power : 0.0785189; pg_pin (VDD) { pg_type : primary_power; voltage_name : "VDD"; } pg_pin (VSS) { pg_type : primary_ground; voltage_name : "VSS"; } leakage_power () { value : 0.0437469; when : "A"; related_pg_pin : VDD; } leakage_power () { value : 0.113291; when : "!A"; related_pg_pin : VDD; } leakage_power () { value : 0.0785189; related_pg_pin : VDD; } pin (Y) { direction : output; function : "!A"; min_capacitance : 0.0001; power_down_function : "(!VDD) + (VSS)"; related_ground_pin : VSS; related_power_pin : VDD; max_capacitance : 0.07; timing () { related_pin : "A"; timing_sense : negative_unate; timing_type : combinational; cell_rise (delay_template) { index_1 ("0.006, 0.3"); index_2 ("0.0001, 0.07"); values ( \ "0.0074729, 0.321742", \ "0.0658639, 0.470784" \ ); } rise_transition (delay_template) { index_1 ("0.006, 0.3"); index_2 ("0.0001, 0.07"); values ( \ "0.0041364, 0.444854", \ "0.04261, 0.444853" \ ); } cell_fall (delay_template) { index_1 ("0.006, 0.3"); index_2 ("0.0001, 0.07"); values ( \ "0.00556126, 0.180304", \ "0.0343606, 0.324624" \ ); } fall_transition (delay_template) { index_1 ("0.006, 0.3"); index_2 ("0.0001, 0.07"); values ( \ "0.00239097, 0.247941", \ "0.0422835, 0.252228" \ ); } } internal_power () { related_pin : "A"; related_pg_pin : VDD; rise_power (power_template) { index_1 ("0.006, 0.3"); index_2 ("0.0001, 0.07"); values ( \ "0.000826256, 0.000862957", \ "0.000864376, 0.000787864" \ ); } fall_power (power_template) { index_1 ("0.006, 0.3"); index_2 ("0.0001, 0.07"); values ( \ "-9.22666e-05, -2.19951e-05", \ "-4.84349e-05, -5.36991e-05" \ ); } } } pin (A) { direction : input; related_ground_pin : VSS; related_power_pin : VDD; max_transition : 0.3; capacitance : 0.000968733; rise_capacitance : 0.000968733; rise_capacitance_range (0.000747975, 0.000968733); fall_capacitance : 0.000968432; fall_capacitance_range (0.00073335, 0.000968432); } } cell (INVX1_05) { area : 0; cell_leakage_power : 0.0920984; pg_pin (VDD) { pg_type : primary_power; voltage_name : "VDD"; } pg_pin (VSS) { pg_type : primary_ground; voltage_name : "VSS"; } leakage_power () { value : 0.0508982; when : "A"; related_pg_pin : VDD; } leakage_power () { value : 0.133299; when : "!A"; related_pg_pin : VDD; } leakage_power () { value : 0.0920984; related_pg_pin : VDD; } pin (Y) { direction : output; function : "!A"; min_capacitance : 0.0001; power_down_function : "(!VDD) + (VSS)"; related_ground_pin : VSS; related_power_pin : VDD; max_capacitance : 0.07; timing () { related_pin : "A"; timing_sense : negative_unate; timing_type : combinational; cell_rise (delay_template) { index_1 ("0.006, 0.3"); index_2 ("0.0001, 0.07"); values ( \ "0.00727783, 0.275992", \ "0.0642094, 0.424754" \ ); } rise_transition (delay_template) { index_1 ("0.006, 0.3"); index_2 ("0.0001, 0.07"); values ( \ "0.00387668, 0.38025", \ "0.0419109, 0.380201" \ ); } cell_fall (delay_template) { index_1 ("0.006, 0.3"); index_2 ("0.0001, 0.07"); values ( \ "0.00547658, 0.156046", \ "0.0326779, 0.300249" \ ); } fall_transition (delay_template) { index_1 ("0.006, 0.3"); index_2 ("0.0001, 0.07"); values ( \ "0.00228156, 0.213726", \ "0.0418803, 0.221302" \ ); } } internal_power () { related_pin : "A"; related_pg_pin : VDD; rise_power (power_template) { index_1 ("0.006, 0.3"); index_2 ("0.0001, 0.07"); values ( \ "0.000949883, 0.00103153", \ "0.000997255, 0.000910978" \ ); } fall_power (power_template) { index_1 ("0.006, 0.3"); index_2 ("0.0001, 0.07"); values ( \ "-0.000128191, -4.61153e-05", \ "-7.26802e-05, -8.56213e-05" \ ); } } } pin (A) { direction : input; related_ground_pin : VSS; related_power_pin : VDD; max_transition : 0.3; capacitance : 0.00112943; rise_capacitance : 0.00112943; rise_capacitance_range (0.000876646, 0.00112943); fall_capacitance : 0.00112915; fall_capacitance_range (0.000862154, 0.00112915); } } cell (INVX1_06) { area : 0; cell_leakage_power : 0.105498; pg_pin (VDD) { pg_type : primary_power; voltage_name : "VDD"; } pg_pin (VSS) { pg_type : primary_ground; voltage_name : "VSS"; } leakage_power () { value : 0.0580264; when : "A"; related_pg_pin : VDD; } leakage_power () { value : 0.15297; when : "!A"; related_pg_pin : VDD; } leakage_power () { value : 0.105498; related_pg_pin : VDD; } pin (Y) { direction : output; function : "!A"; min_capacitance : 0.0001; power_down_function : "(!VDD) + (VSS)"; related_ground_pin : VSS; related_power_pin : VDD; max_capacitance : 0.07; timing () { related_pin : "A"; timing_sense : negative_unate; timing_type : combinational; cell_rise (delay_template) { index_1 ("0.006, 0.3"); index_2 ("0.0001, 0.07"); values ( \ "0.00714249, 0.241515", \ "0.0629325, 0.39066" \ ); } rise_transition (delay_template) { index_1 ("0.006, 0.3"); index_2 ("0.0001, 0.07"); values ( \ "0.00368741, 0.332198", \ "0.041411, 0.332338" \ ); } cell_fall (delay_template) { index_1 ("0.006, 0.3"); index_2 ("0.0001, 0.07"); values ( \ "0.00541058, 0.137426", \ "0.0313581, 0.281823" \ ); } fall_transition (delay_template) { index_1 ("0.006, 0.3"); index_2 ("0.0001, 0.07"); values ( \ "0.00220695, 0.187812", \ "0.0413836, 0.19879" \ ); } } internal_power () { related_pin : "A"; related_pg_pin : VDD; rise_power (power_template) { index_1 ("0.006, 0.3"); index_2 ("0.0001, 0.07"); values ( \ "0.0010731, 0.00114256", \ "0.00113166, 0.0010476" \ ); } fall_power (power_template) { index_1 ("0.006, 0.3"); index_2 ("0.0001, 0.07"); values ( \ "-0.000166134, -6.78015e-05", \ "-9.81411e-05, -0.000118376" \ ); } } } pin (A) { direction : input; related_ground_pin : VSS; related_power_pin : VDD; max_transition : 0.3; capacitance : 0.00128949; rise_capacitance : 0.00128931; rise_capacitance_range (0.000996614, 0.00128931); fall_capacitance : 0.00128949; fall_capacitance_range (0.000976923, 0.00128949); } } cell (INVX1_07) { area : 0; cell_leakage_power : 0.118778; pg_pin (VDD) { pg_type : primary_power; voltage_name : "VDD"; } pg_pin (VSS) { pg_type : primary_ground; voltage_name : "VSS"; } leakage_power () { value : 0.0651389; when : "A"; related_pg_pin : VDD; } leakage_power () { value : 0.172417; when : "!A"; related_pg_pin : VDD; } leakage_power () { value : 0.118778; related_pg_pin : VDD; } pin (Y) { direction : output; function : "!A"; min_capacitance : 0.0001; power_down_function : "(!VDD) + (VSS)"; related_ground_pin : VSS; related_power_pin : VDD; max_capacitance : 0.07; timing () { related_pin : "A"; timing_sense : negative_unate; timing_type : combinational; cell_rise (delay_template) { index_1 ("0.006, 0.3"); index_2 ("0.0001, 0.07"); values ( \ "0.00705347, 0.215003", \ "0.0620683, 0.364127" \ ); } rise_transition (delay_template) { index_1 ("0.006, 0.3"); index_2 ("0.0001, 0.07"); values ( \ "0.0035648, 0.295029", \ "0.0410675, 0.29597" \ ); } cell_fall (delay_template) { index_1 ("0.006, 0.3"); index_2 ("0.0001, 0.07"); values ( \ "0.00538114, 0.123319", \ "0.0305286, 0.267457" \ ); } fall_transition (delay_template) { index_1 ("0.006, 0.3"); index_2 ("0.0001, 0.07"); values ( \ "0.00216084, 0.167764", \ "0.0411597, 0.181739" \ ); } } internal_power () { related_pin : "A"; related_pg_pin : VDD; rise_power (power_template) { index_1 ("0.006, 0.3"); index_2 ("0.0001, 0.07"); values ( \ "0.00119987, 0.00127206", \ "0.00126963, 0.00114817" \ ); } fall_power (power_template) { index_1 ("0.006, 0.3"); index_2 ("0.0001, 0.07"); values ( \ "-0.000202909, -9.39192e-05", \ "-0.000123617, -0.000152013" \ ); } } } pin (A) { direction : input; related_ground_pin : VSS; related_power_pin : VDD; max_transition : 0.3; capacitance : 0.00145005; rise_capacitance : 0.00145005; rise_capacitance_range (0.00112586, 0.00145005); fall_capacitance : 0.00144975; fall_capacitance_range (0.00109587, 0.00144975); } } cell (INVX1_08) { area : 0; cell_leakage_power : 0.132367; pg_pin (VDD) { pg_type : primary_power; voltage_name : "VDD"; } pg_pin (VSS) { pg_type : primary_ground; voltage_name : "VSS"; } leakage_power () { value : 0.072241; when : "A"; related_pg_pin : VDD; } leakage_power () { value : 0.192493; when : "!A"; related_pg_pin : VDD; } leakage_power () { value : 0.132367; related_pg_pin : VDD; } pin (Y) { direction : output; function : "!A"; min_capacitance : 0.0001; power_down_function : "(!VDD) + (VSS)"; related_ground_pin : VSS; related_power_pin : VDD; max_capacitance : 0.07; timing () { related_pin : "A"; timing_sense : negative_unate; timing_type : combinational; cell_rise (delay_template) { index_1 ("0.006, 0.3"); index_2 ("0.0001, 0.07"); values ( \ "0.00700079, 0.194214", \ "0.0613619, 0.343146" \ ); } rise_transition (delay_template) { index_1 ("0.006, 0.3"); index_2 ("0.0001, 0.07"); values ( \ "0.00347326, 0.265482", \ "0.0408333, 0.267711" \ ); } cell_fall (delay_template) { index_1 ("0.006, 0.3"); index_2 ("0.0001, 0.07"); values ( \ "0.0053614, 0.111614", \ "0.0298176, 0.25586" \ ); } fall_transition (delay_template) { index_1 ("0.006, 0.3"); index_2 ("0.0001, 0.07"); values ( \ "0.00212596, 0.151502", \ "0.0409625, 0.168665" \ ); } } internal_power () { related_pin : "A"; related_pg_pin : VDD; rise_power (power_template) { index_1 ("0.006, 0.3"); index_2 ("0.0001, 0.07"); values ( \ "0.00132857, 0.00145062", \ "0.00140838, 0.00129012" \ ); } fall_power (power_template) { index_1 ("0.006, 0.3"); index_2 ("0.0001, 0.07"); values ( \ "-0.000239024, -0.000114905", \ "-0.000148729, -0.000185991" \ ); } } } pin (A) { direction : input; related_ground_pin : VSS; related_power_pin : VDD; max_transition : 0.3; capacitance : 0.00161064; rise_capacitance : 0.00161064; rise_capacitance_range (0.00124469, 0.00161064); fall_capacitance : 0.00160983; fall_capacitance_range (0.00122439, 0.00160983); } } } """

27.359441

157

0.49925

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58,686

4.032253

0.11223

0.010858

0.023345

0.028014

0.784972

0.757175

0.753773

0.75247

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0.23305

0.360887

58,686

2,145

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27.359441

0.503586

0.001227

0

0.677871

0

0.005602

0.998908

0.045366

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false

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1

0

1

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null

0

7

fd3fd2307100eeab3489576d8cb103631dc8dc26

168,544

py

Python

emoji2pic/emoji_directory.py

sniper-py/emoji2pic-python

3b48f59142a7ec16e27fface98d57df4e24efd92

[ "MIT" ]

7

2019-03-11T09:18:04.000Z

2020-05-21T12:38:40.000Z

emoji2pic/emoji_directory.py

SkywalkerSpace/emoji2pic-python

3b48f59142a7ec16e27fface98d57df4e24efd92

[ "MIT" ]

2

2020-09-17T08:10:03.000Z

2020-09-21T06:30:19.000Z

emoji2pic/emoji_directory.py

sniper-py/emoji2pic-python

3b48f59142a7ec16e27fface98d57df4e24efd92

[ "MIT" ]

1

2022-01-29T06:39:48.000Z

INITIAL_UNICODE = {'\U0001f9ee': [1], '🎟': [1], '\U0001f9d1': [3, 1], '🚡': [1], '🛬': [1], '🛫': [1], '✈': [1], '⏰': [1], '⚗': [1], '👾': [1], '🚑': [1], '🏈': [1], '🏺': [1], '⚓': [1], '💢': [1], '😠': [1], '😧': [1], '📶': [1], '🔄': [1], '🐜': [1], '♒': [1], '♈': [1], '⤵': [1], '⤴': [1], '🚛': [1], '🎨': [1], '😲': [1], '👟': [1], '⚛': [1], '🍆': [1], '🏧': [1], '🚗': [1], '🥑': [1], '👼': [3, 1], '🍼': [1], '🐤': [1], '🚼': [1], '👶': [3, 1], '🔙': [1], '🥓': [1], '🐫': [1], '\U0001f9a1': [1], '🏸': [1], '\U0001f96f': [1], '🛄': [1], '🥖': [1], '\U0001f9f6': [1], '🎈': [1], '🗳': [1], '☑': [1], '🍌': [1], '💵': [1], '💶': [1], '💷': [1], '💴': [1], '🏦': [1], '📊': [1], '\U0001f9fc': [1], '💈': [1], '⚾': [1], '🏀': [1], '\U0001f9fa': [1], '🛁': [1], '🛀': [3, 1], '🔋': [1], '🦇': [1], '🏖': [1], '🐻': [1], '\U0001f9d4': [3, 1], '💓': [1], '🛏': [1], '🍺': [1], '🔕': [1], '🛎': [1], '🔔': [1], '🍱': [1], '🚲': [1], '🚴': [5, 4, 3, 1], '👙': [1], '\U0001f9e2': [1], '🎱': [1], '☣': [1], '🐦': [1], '🎂': [1], '♟': [1], '⏺': [1], '♣': [1], '♦': 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'alien-monster_1f47e.png', '🚑': 'ambulance_1f691.png', '🏈': 'american-football_1f3c8.png', '🏺': 'amphora_1f3fa.png', '⚓': 'anchor_2693.png', '💢': 'anger-symbol_1f4a2.png', '😠': 'angry-face_1f620.png', '😧': 'anguished-face_1f627.png', '📶': 'antenna-with-bars_1f4f6.png', '🔄': 'anticlockwise-downwards-and-upwards-open-circle-arrows_1f504.png', '🐜': 'ant_1f41c.png', '♒': 'aquarius_2652.png', '♈': 'aries_2648.png', '⤵': 'arrow-pointing-rightwards-then-curving-downwards_2935.png', '⤴': 'arrow-pointing-rightwards-then-curving-upwards_2934.png', '🚛': 'articulated-lorry_1f69b.png', '🎨': 'artist-palette_1f3a8.png', '😲': 'astonished-face_1f632.png', '👟': 'athletic-shoe_1f45f.png', '⚛': 'atom-symbol_269b.png', '🍆': 'aubergine_1f346.png', '🏧': 'automated-teller-machine_1f3e7.png', '🚗': 'automobile_1f697.png', '🥑': 'avocado_1f951.png', '👼': 'baby-angel_1f47c.png', '👼🏻🏻': 'baby-angel_emoji-modifier-fitzpatrick-type-1-2_1f47c-1f3fb_1f3fb.png', '👼🏼🏼': 'baby-angel_emoji-modifier-fitzpatrick-type-3_1f47c-1f3fc_1f3fc.png', '👼🏽🏽': 'baby-angel_emoji-modifier-fitzpatrick-type-4_1f47c-1f3fd_1f3fd.png', '👼🏾🏾': 'baby-angel_emoji-modifier-fitzpatrick-type-5_1f47c-1f3fe_1f3fe.png', '👼🏿🏿': 'baby-angel_emoji-modifier-fitzpatrick-type-6_1f47c-1f3ff_1f3ff.png', '🍼': 'baby-bottle_1f37c.png', '🐤': 'baby-chick_1f424.png', '🚼': 'baby-symbol_1f6bc.png', '👶': 'baby_1f476.png', '👶🏻🏻': 'baby_emoji-modifier-fitzpatrick-type-1-2_1f476-1f3fb_1f3fb.png', '👶🏼🏼': 'baby_emoji-modifier-fitzpatrick-type-3_1f476-1f3fc_1f3fc.png', '👶🏽🏽': 'baby_emoji-modifier-fitzpatrick-type-4_1f476-1f3fd_1f3fd.png', '👶🏾🏾': 'baby_emoji-modifier-fitzpatrick-type-5_1f476-1f3fe_1f3fe.png', '👶🏿🏿': 'baby_emoji-modifier-fitzpatrick-type-6_1f476-1f3ff_1f3ff.png', '🔙': 'back-with-leftwards-arrow-above_1f519.png', '🥓': 'bacon_1f953.png', '🐫': 'bactrian-camel_1f42b.png', '\U0001f9a1': 'badger_1f9a1.png', '🏸': 'badminton-racquet-and-shuttlecock_1f3f8.png', '\U0001f96f': 'bagel_1f96f.png', '🛄': 'baggage-claim_1f6c4.png', '🥖': 'baguette-bread_1f956.png', '\U0001f9f6': 'ball-of-yarn_1f9f6.png', '🎈': 'balloon_1f388.png', '🗳': 'ballot-box-with-ballot_1f5f3.png', '☑': 'ballot-box-with-check_2611.png', '🍌': 'banana_1f34c.png', '💵': 'banknote-with-dollar-sign_1f4b5.png', '💶': 'banknote-with-euro-sign_1f4b6.png', '💷': 'banknote-with-pound-sign_1f4b7.png', '💴': 'banknote-with-yen-sign_1f4b4.png', '🏦': 'bank_1f3e6.png', '📊': 'bar-chart_1f4ca.png', '\U0001f9fc': 'bar-of-soap_1f9fc.png', '💈': 'barber-pole_1f488.png', '⚾': 'baseball_26be.png', '🏀': 'basketball-and-hoop_1f3c0.png', '\U0001f9fa': 'basket_1f9fa.png', '🛁': 'bathtub_1f6c1.png', '🛀': 'bath_1f6c0.png', '🛀🏻🏻': 'bath_emoji-modifier-fitzpatrick-type-1-2_1f6c0-1f3fb_1f3fb.png', '🛀🏼🏼': 'bath_emoji-modifier-fitzpatrick-type-3_1f6c0-1f3fc_1f3fc.png', '🛀🏽🏽': 'bath_emoji-modifier-fitzpatrick-type-4_1f6c0-1f3fd_1f3fd.png', '🛀🏾🏾': 'bath_emoji-modifier-fitzpatrick-type-5_1f6c0-1f3fe_1f3fe.png', '🛀🏿🏿': 'bath_emoji-modifier-fitzpatrick-type-6_1f6c0-1f3ff_1f3ff.png', '🔋': 'battery_1f50b.png', '🦇': 'bat_1f987.png', '🏖': 'beach-with-umbrella_1f3d6.png', '🐻': 'bear-face_1f43b.png', '\U0001f9d4': 'bearded-person_1f9d4.png', '\U0001f9d4🏻🏻': 'bearded-person_emoji-modifier-fitzpatrick-type-1-2_1f9d4-1f3fb_1f3fb.png', '\U0001f9d4🏼🏼': 'bearded-person_emoji-modifier-fitzpatrick-type-3_1f9d4-1f3fc_1f3fc.png', '\U0001f9d4🏽🏽': 'bearded-person_emoji-modifier-fitzpatrick-type-4_1f9d4-1f3fd_1f3fd.png', '\U0001f9d4🏾🏾': 'bearded-person_emoji-modifier-fitzpatrick-type-5_1f9d4-1f3fe_1f3fe.png', '\U0001f9d4🏿🏿': 'bearded-person_emoji-modifier-fitzpatrick-type-6_1f9d4-1f3ff_1f3ff.png', '💓': 'beating-heart_1f493.png', '🛏': 'bed_1f6cf.png', '🍺': 'beer-mug_1f37a.png', '🔕': 'bell-with-cancellation-stroke_1f515.png', '🛎': 'bellhop-bell_1f6ce.png', '🔔': 'bell_1f514.png', '🍱': 'bento-box_1f371.png', '🚲': 'bicycle_1f6b2.png', '🚴': 'bicyclist_1f6b4.png', '🚴🏻🏻': 'bicyclist_emoji-modifier-fitzpatrick-type-1-2_1f6b4-1f3fb_1f3fb.png', '🚴🏼🏼': 'bicyclist_emoji-modifier-fitzpatrick-type-3_1f6b4-1f3fc_1f3fc.png', '🚴🏽🏽': 'bicyclist_emoji-modifier-fitzpatrick-type-4_1f6b4-1f3fd_1f3fd.png', '🚴🏾🏾': 'bicyclist_emoji-modifier-fitzpatrick-type-5_1f6b4-1f3fe_1f3fe.png', '🚴🏿🏿': 'bicyclist_emoji-modifier-fitzpatrick-type-6_1f6b4-1f3ff_1f3ff.png', '👙': 'bikini_1f459.png', '\U0001f9e2': 'billed-cap_1f9e2.png', '🎱': 'billiards_1f3b1.png', '☣': 'biohazard-sign_2623.png', '🐦': 'bird_1f426.png', '🎂': 'birthday-cake_1f382.png', '♟': 'black-chess-pawn_265f.png', '⏺': 'black-circle-for-record_23fa.png', '♣': 'black-club-suit_2663.png', '♦': 'black-diamond-suit_2666.png', '⏬': 'black-down-pointing-double-triangle_23ec.png', '♥': 'black-heart-suit_2665.png', '🖤': 'black-heart_1f5a4.png', '⬛': 'black-large-square_2b1b.png', '⏮': 'black-left-pointing-double-triangle-with-vertical-bar_23ee.png', '⏪': 'black-left-pointing-double-triangle_23ea.png', '◀': 'black-left-pointing-triangle_25c0.png', '◾': 'black-medium-small-square_25fe.png', '◼': 'black-medium-square_25fc.png', '✒': 'black-nib_2712.png', '❓': 'black-question-mark-ornament_2753.png', '⏭': 'black-right-pointing-double-triangle-with-vertical-bar_23ed.png', '⏩': 'black-right-pointing-double-triangle_23e9.png', '⏯': 'black-right-pointing-triangle-with-double-vertical-bar_23ef.png', '▶': 'black-right-pointing-triangle_25b6.png', '➡': 'black-rightwards-arrow_27a1.png', '✂': 'black-scissors_2702.png', '▪': 'black-small-square_25aa.png', '♠': 'black-spade-suit_2660.png', '🔲': 'black-square-button_1f532.png', '⏹': 'black-square-for-stop_23f9.png', '☀': 'black-sun-with-rays_2600.png', '☎': 'black-telephone_260e.png', '♻': 'black-universal-recycling-symbol_267b.png', '⏫': 'black-up-pointing-double-triangle_23eb.png', '👱🏻\u200d♂️': 'blond-man-type-1-2_1f471-1f3fb-200d-2642-fe0f.png', '👱🏼\u200d♂️': 'blond-man-type-3_1f471-1f3fc-200d-2642-fe0f.png', '👱🏽\u200d♂️': 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'👁': 'eye_1f441.png', '💆': 'face-massage_1f486.png', '💆🏻🏻': 'face-massage_emoji-modifier-fitzpatrick-type-1-2_1f486-1f3fb_1f3fb.png', '💆🏼🏼': 'face-massage_emoji-modifier-fitzpatrick-type-3_1f486-1f3fc_1f3fc.png', '💆🏽🏽': 'face-massage_emoji-modifier-fitzpatrick-type-4_1f486-1f3fd_1f3fd.png', '💆🏾🏾': 'face-massage_emoji-modifier-fitzpatrick-type-5_1f486-1f3fe_1f3fe.png', '💆🏿🏿': 'face-massage_emoji-modifier-fitzpatrick-type-6_1f486-1f3ff_1f3ff.png', '🤦': 'face-palm_1f926.png', '🤦🏻🏻': 'face-palm_emoji-modifier-fitzpatrick-type-1-2_1f926-1f3fb_1f3fb.png', '🤦🏼🏼': 'face-palm_emoji-modifier-fitzpatrick-type-3_1f926-1f3fc_1f3fc.png', '🤦🏽🏽': 'face-palm_emoji-modifier-fitzpatrick-type-4_1f926-1f3fd_1f3fd.png', '🤦🏾🏾': 'face-palm_emoji-modifier-fitzpatrick-type-5_1f926-1f3fe_1f3fe.png', '🤦🏿🏿': 'face-palm_emoji-modifier-fitzpatrick-type-6_1f926-1f3ff_1f3ff.png', '😋': 'face-savouring-delicious-food_1f60b.png', '😱': 'face-screaming-in-fear_1f631.png', '😘': 'face-throwing-a-kiss_1f618.png', '😓': 'face-with-cold-sweat_1f613.png', '🤠': 'face-with-cowboy-hat_1f920.png', '\U0001f92b': 'face-with-finger-covering-closed-lips_1f92b.png', '🤕': 'face-with-head-bandage_1f915.png', '😤': 'face-with-look-of-triumph_1f624.png', '😷': 'face-with-medical-mask_1f637.png', '\U0001f9d0': 'face-with-monocle_1f9d0.png', '🙅': 'face-with-no-good-gesture_1f645.png', '🙅🏻🏻': 'face-with-no-good-gesture_emoji-modifier-fitzpatrick-type-1-2_1f645-1f3fb_1f3fb.png', '🙅🏼🏼': 'face-with-no-good-gesture_emoji-modifier-fitzpatrick-type-3_1f645-1f3fc_1f3fc.png', '🙅🏽🏽': 'face-with-no-good-gesture_emoji-modifier-fitzpatrick-type-4_1f645-1f3fd_1f3fd.png', '🙅🏾🏾': 'face-with-no-good-gesture_emoji-modifier-fitzpatrick-type-5_1f645-1f3fe_1f3fe.png', '🙅🏿🏿': 'face-with-no-good-gesture_emoji-modifier-fitzpatrick-type-6_1f645-1f3ff_1f3ff.png', '🙆': 'face-with-ok-gesture_1f646.png', '🙆🏻🏻': 'face-with-ok-gesture_emoji-modifier-fitzpatrick-type-1-2_1f646-1f3fb_1f3fb.png', '🙆🏼🏼': 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'father-christmas_emoji-modifier-fitzpatrick-type-5_1f385-1f3fe_1f3fe.png', '🎅🏿🏿': 'father-christmas_emoji-modifier-fitzpatrick-type-6_1f385-1f3ff_1f3ff.png', '📠': 'fax-machine_1f4e0.png', '😨': 'fearful-face_1f628.png', '👩🏻\u200d🎨': 'female-artist-type-1-2_1f469-1f3fb-200d-1f3a8.png', '👩🏼\u200d🎨': 'female-artist-type-3_1f469-1f3fc-200d-1f3a8.png', '👩🏽\u200d🎨': 'female-artist-type-4_1f469-1f3fd-200d-1f3a8.png', '👩🏾\u200d🎨': 'female-artist-type-5_1f469-1f3fe-200d-1f3a8.png', '👩🏿\u200d🎨': 'female-artist-type-6_1f469-1f3ff-200d-1f3a8.png', '👩\u200d🎨': 'female-artist_1f469-200d-1f3a8.png', '👩🏻\u200d🚀': 'female-astronaut-type-1-2_1f469-1f3fb-200d-1f680.png', '👩🏼\u200d🚀': 'female-astronaut-type-3_1f469-1f3fc-200d-1f680.png', '👩🏽\u200d🚀': 'female-astronaut-type-4_1f469-1f3fd-200d-1f680.png', '👩🏾\u200d🚀': 'female-astronaut-type-5_1f469-1f3fe-200d-1f680.png', '👩🏿\u200d🚀': 'female-astronaut-type-6_1f469-1f3ff-200d-1f680.png', '👩\u200d🚀': 'female-astronaut_1f469-200d-1f680.png', '👷🏻\u200d♀️': 'female-construction-worker-type-1-2_1f477-1f3fb-200d-2640-fe0f.png', '👷🏼\u200d♀️': 'female-construction-worker-type-3_1f477-1f3fc-200d-2640-fe0f.png', '👷🏽\u200d♀️': 'female-construction-worker-type-4_1f477-1f3fd-200d-2640-fe0f.png', '👷🏾\u200d♀️': 'female-construction-worker-type-5_1f477-1f3fe-200d-2640-fe0f.png', '👷🏿\u200d♀️': 'female-construction-worker-type-6_1f477-1f3ff-200d-2640-fe0f.png', '👷\u200d♀️': 'female-construction-worker_1f477-200d-2640-fe0f.png', '👩🏻\u200d🍳': 'female-cook-type-1-2_1f469-1f3fb-200d-1f373.png', '👩🏼\u200d🍳': 'female-cook-type-3_1f469-1f3fc-200d-1f373.png', '👩🏽\u200d🍳': 'female-cook-type-4_1f469-1f3fd-200d-1f373.png', '👩🏾\u200d🍳': 'female-cook-type-5_1f469-1f3fe-200d-1f373.png', '👩🏿\u200d🍳': 'female-cook-type-6_1f469-1f3ff-200d-1f373.png', '👩\u200d🍳': 'female-cook_1f469-200d-1f373.png', '👩🏻\u200d🏭': 'female-factory-worker-type-1-2_1f469-1f3fb-200d-1f3ed.png', '👩🏼\u200d🏭': 'female-factory-worker-type-3_1f469-1f3fc-200d-1f3ed.png', '👩🏽\u200d🏭': 'female-factory-worker-type-4_1f469-1f3fd-200d-1f3ed.png', '👩🏾\u200d🏭': 'female-factory-worker-type-5_1f469-1f3fe-200d-1f3ed.png', '👩🏿\u200d🏭': 'female-factory-worker-type-6_1f469-1f3ff-200d-1f3ed.png', '👩\u200d🏭': 'female-factory-worker_1f469-200d-1f3ed.png', '👩🏻\u200d🌾': 'female-farmer-type-1-2_1f469-1f3fb-200d-1f33e.png', '👩🏼\u200d🌾': 'female-farmer-type-3_1f469-1f3fc-200d-1f33e.png', '👩🏽\u200d🌾': 'female-farmer-type-4_1f469-1f3fd-200d-1f33e.png', '👩🏾\u200d🌾': 'female-farmer-type-5_1f469-1f3fe-200d-1f33e.png', '👩🏿\u200d🌾': 'female-farmer-type-6_1f469-1f3ff-200d-1f33e.png', '👩\u200d🌾': 'female-farmer_1f469-200d-1f33e.png', '👩🏻\u200d🚒': 'female-firefighter-type-1-2_1f469-1f3fb-200d-1f692.png', '👩🏼\u200d🚒': 'female-firefighter-type-3_1f469-1f3fc-200d-1f692.png', '👩🏽\u200d🚒': 'female-firefighter-type-4_1f469-1f3fd-200d-1f692.png', '👩🏾\u200d🚒': 'female-firefighter-type-5_1f469-1f3fe-200d-1f692.png', '👩🏿\u200d🚒': 'female-firefighter-type-6_1f469-1f3ff-200d-1f692.png', '👩\u200d🚒': 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'mage_emoji-modifier-fitzpatrick-type-4_1f9d9-1f3fd_1f3fd.png', '\U0001f9d9🏾🏾': 'mage_emoji-modifier-fitzpatrick-type-5_1f9d9-1f3fe_1f3fe.png', '\U0001f9d9🏿🏿': 'mage_emoji-modifier-fitzpatrick-type-6_1f9d9-1f3ff_1f3ff.png', '\U0001f9f2': 'magnet_1f9f2.png', '🀄': 'mahjong-tile-red-dragon_1f004.png', '👨🏻\u200d🎨': 'male-artist-type-1-2_1f468-1f3fb-200d-1f3a8.png', '👨🏼\u200d🎨': 'male-artist-type-3_1f468-1f3fc-200d-1f3a8.png', '👨🏽\u200d🎨': 'male-artist-type-4_1f468-1f3fd-200d-1f3a8.png', '👨🏾\u200d🎨': 'male-artist-type-5_1f468-1f3fe-200d-1f3a8.png', '👨🏿\u200d🎨': 'male-artist-type-6_1f468-1f3ff-200d-1f3a8.png', '👨\u200d🎨': 'male-artist_1f468-200d-1f3a8.png', '👨🏻\u200d🚀': 'male-astronaut-type-1-2_1f468-1f3fb-200d-1f680.png', '👨🏼\u200d🚀': 'male-astronaut-type-3_1f468-1f3fc-200d-1f680.png', '👨🏽\u200d🚀': 'male-astronaut-type-4_1f468-1f3fd-200d-1f680.png', '👨🏾\u200d🚀': 'male-astronaut-type-5_1f468-1f3fe-200d-1f680.png', '👨🏿\u200d🚀': 'male-astronaut-type-6_1f468-1f3ff-200d-1f680.png', '👨\u200d🚀': 'male-astronaut_1f468-200d-1f680.png', '👷🏻\u200d♂️': 'male-construction-worker-type-1-2_1f477-1f3fb-200d-2642-fe0f.png', '👷🏼\u200d♂️': 'male-construction-worker-type-3_1f477-1f3fc-200d-2642-fe0f.png', '👷🏽\u200d♂️': 'male-construction-worker-type-4_1f477-1f3fd-200d-2642-fe0f.png', '👷🏾\u200d♂️': 'male-construction-worker-type-5_1f477-1f3fe-200d-2642-fe0f.png', '👷🏿\u200d♂️': 'male-construction-worker-type-6_1f477-1f3ff-200d-2642-fe0f.png', '👷\u200d♂️': 'male-construction-worker_1f477-200d-2642-fe0f.png', '👨🏻\u200d🍳': 'male-cook-type-1-2_1f468-1f3fb-200d-1f373.png', '👨🏼\u200d🍳': 'male-cook-type-3_1f468-1f3fc-200d-1f373.png', '👨🏽\u200d🍳': 'male-cook-type-4_1f468-1f3fd-200d-1f373.png', '👨🏾\u200d🍳': 'male-cook-type-5_1f468-1f3fe-200d-1f373.png', '👨🏿\u200d🍳': 'male-cook-type-6_1f468-1f3ff-200d-1f373.png', '👨\u200d🍳': 'male-cook_1f468-200d-1f373.png', '👨🏻\u200d🏭': 'male-factory-worker-type-1-2_1f468-1f3fb-200d-1f3ed.png', '👨🏼\u200d🏭': 'male-factory-worker-type-3_1f468-1f3fc-200d-1f3ed.png', '👨🏽\u200d🏭': 'male-factory-worker-type-4_1f468-1f3fd-200d-1f3ed.png', '👨🏾\u200d🏭': 'male-factory-worker-type-5_1f468-1f3fe-200d-1f3ed.png', '👨🏿\u200d🏭': 'male-factory-worker-type-6_1f468-1f3ff-200d-1f3ed.png', '👨\u200d🏭': 'male-factory-worker_1f468-200d-1f3ed.png', '👨🏻\u200d🌾': 'male-farmer-type-1-2_1f468-1f3fb-200d-1f33e.png', '👨🏼\u200d🌾': 'male-farmer-type-3_1f468-1f3fc-200d-1f33e.png', '👨🏽\u200d🌾': 'male-farmer-type-4_1f468-1f3fd-200d-1f33e.png', '👨🏾\u200d🌾': 'male-farmer-type-5_1f468-1f3fe-200d-1f33e.png', '👨🏿\u200d🌾': 'male-farmer-type-6_1f468-1f3ff-200d-1f33e.png', '👨\u200d🌾': 'male-farmer_1f468-200d-1f33e.png', '👨🏻\u200d🚒': 'male-firefighter-type-1-2_1f468-1f3fb-200d-1f692.png', '👨🏼\u200d🚒': 'male-firefighter-type-3_1f468-1f3fc-200d-1f692.png', '👨🏽\u200d🚒': 'male-firefighter-type-4_1f468-1f3fd-200d-1f692.png', '👨🏾\u200d🚒': 'male-firefighter-type-5_1f468-1f3fe-200d-1f692.png', '👨🏿\u200d🚒': 'male-firefighter-type-6_1f468-1f3ff-200d-1f692.png', '👨\u200d🚒': 'male-firefighter_1f468-200d-1f692.png', '💂🏻\u200d♂️': 'male-guard-type-1-2_1f482-1f3fb-200d-2642-fe0f.png', '💂🏼\u200d♂️': 'male-guard-type-3_1f482-1f3fc-200d-2642-fe0f.png', '💂🏽\u200d♂️': 'male-guard-type-4_1f482-1f3fd-200d-2642-fe0f.png', '💂🏾\u200d♂️': 'male-guard-type-5_1f482-1f3fe-200d-2642-fe0f.png', '💂🏿\u200d♂️': 'male-guard-type-6_1f482-1f3ff-200d-2642-fe0f.png', '💂\u200d♂️': 'male-guard_1f482-200d-2642-fe0f.png', '👨🏻\u200d⚕️': 'male-health-worker-type-1-2_1f468-1f3fb-200d-2695-fe0f.png', '👨🏼\u200d⚕️': 'male-health-worker-type-3_1f468-1f3fc-200d-2695-fe0f.png', '👨🏽\u200d⚕️': 'male-health-worker-type-4_1f468-1f3fd-200d-2695-fe0f.png', '👨🏾\u200d⚕️': 'male-health-worker-type-5_1f468-1f3fe-200d-2695-fe0f.png', '👨🏿\u200d⚕️': 'male-health-worker-type-6_1f468-1f3ff-200d-2695-fe0f.png', '👨\u200d⚕️': 'male-health-worker_1f468-200d-2695-fe0f.png', '👨🏻\u200d⚖️': 'male-judge-type-1-2_1f468-1f3fb-200d-2696-fe0f.png', '👨🏼\u200d⚖️': 'male-judge-type-3_1f468-1f3fc-200d-2696-fe0f.png', '👨🏽\u200d⚖️': 'male-judge-type-4_1f468-1f3fd-200d-2696-fe0f.png', '👨🏾\u200d⚖️': 'male-judge-type-5_1f468-1f3fe-200d-2696-fe0f.png', '👨🏿\u200d⚖️': 'male-judge-type-6_1f468-1f3ff-200d-2696-fe0f.png', '👨\u200d⚖️': 'male-judge_1f468-200d-2696-fe0f.png', '👨🏻\u200d🔧': 'male-mechanic-type-1-2_1f468-1f3fb-200d-1f527.png', '👨🏼\u200d🔧': 'male-mechanic-type-3_1f468-1f3fc-200d-1f527.png', '👨🏽\u200d🔧': 'male-mechanic-type-4_1f468-1f3fd-200d-1f527.png', '👨🏾\u200d🔧': 'male-mechanic-type-5_1f468-1f3fe-200d-1f527.png', '👨🏿\u200d🔧': 'male-mechanic-type-6_1f468-1f3ff-200d-1f527.png', '👨\u200d🔧': 'male-mechanic_1f468-200d-1f527.png', '👨🏻\u200d💼': 'male-office-worker-type-1-2_1f468-1f3fb-200d-1f4bc.png', '👨🏼\u200d💼': 'male-office-worker-type-3_1f468-1f3fc-200d-1f4bc.png', '👨🏽\u200d💼': 'male-office-worker-type-4_1f468-1f3fd-200d-1f4bc.png', '👨🏾\u200d💼': 'male-office-worker-type-5_1f468-1f3fe-200d-1f4bc.png', '👨🏿\u200d💼': 'male-office-worker-type-6_1f468-1f3ff-200d-1f4bc.png', '👨\u200d💼': 'male-office-worker_1f468-200d-1f4bc.png', '👨🏻\u200d✈️': 'male-pilot-type-1-2_1f468-1f3fb-200d-2708-fe0f.png', '👨🏼\u200d✈️': 'male-pilot-type-3_1f468-1f3fc-200d-2708-fe0f.png', '👨🏽\u200d✈️': 'male-pilot-type-4_1f468-1f3fd-200d-2708-fe0f.png', '👨🏾\u200d✈️': 'male-pilot-type-5_1f468-1f3fe-200d-2708-fe0f.png', '👨🏿\u200d✈️': 'male-pilot-type-6_1f468-1f3ff-200d-2708-fe0f.png', '👨\u200d✈️': 'male-pilot_1f468-200d-2708-fe0f.png', '👮🏻\u200d♂️': 'male-police-officer-type-1-2_1f46e-1f3fb-200d-2642-fe0f.png', '👮🏼\u200d♂️': 'male-police-officer-type-3_1f46e-1f3fc-200d-2642-fe0f.png', '👮🏽\u200d♂️': 'male-police-officer-type-4_1f46e-1f3fd-200d-2642-fe0f.png', '👮🏾\u200d♂️': 'male-police-officer-type-5_1f46e-1f3fe-200d-2642-fe0f.png', '👮🏿\u200d♂️': 'male-police-officer-type-6_1f46e-1f3ff-200d-2642-fe0f.png', '👮\u200d♂️': 'male-police-officer_1f46e-200d-2642-fe0f.png', '👨🏻\u200d🔬': 'male-scientist-type-1-2_1f468-1f3fb-200d-1f52c.png', '👨🏼\u200d🔬': 'male-scientist-type-3_1f468-1f3fc-200d-1f52c.png', '👨🏽\u200d🔬': 'male-scientist-type-4_1f468-1f3fd-200d-1f52c.png', '👨🏾\u200d🔬': 'male-scientist-type-5_1f468-1f3fe-200d-1f52c.png', '👨🏿\u200d🔬': 'male-scientist-type-6_1f468-1f3ff-200d-1f52c.png', '👨\u200d🔬': 'male-scientist_1f468-200d-1f52c.png', '👨🏻\u200d🎤': 'male-singer-type-1-2_1f468-1f3fb-200d-1f3a4.png', '👨🏼\u200d🎤': 'male-singer-type-3_1f468-1f3fc-200d-1f3a4.png', '👨🏽\u200d🎤': 'male-singer-type-4_1f468-1f3fd-200d-1f3a4.png', '👨🏾\u200d🎤': 'male-singer-type-5_1f468-1f3fe-200d-1f3a4.png', '👨🏿\u200d🎤': 'male-singer-type-6_1f468-1f3ff-200d-1f3a4.png', '👨\u200d🎤': 'male-singer_1f468-200d-1f3a4.png', '🕵🏻\u200d♂️': 'male-sleuth-type-1-2_1f575-1f3fb-200d-2642-fe0f.png', '🕵🏼\u200d♂️': 'male-sleuth-type-3_1f575-1f3fc-200d-2642-fe0f.png', '🕵🏽\u200d♂️': 'male-sleuth-type-4_1f575-1f3fd-200d-2642-fe0f.png', '🕵🏾\u200d♂️': 'male-sleuth-type-5_1f575-1f3fe-200d-2642-fe0f.png', '🕵🏿\u200d♂️': 'male-sleuth-type-6_1f575-1f3ff-200d-2642-fe0f.png', '🕵️\u200d♂️': 'male-sleuth_1f575-fe0f-200d-2642-fe0f.png', '👨🏻\u200d🎓': 'male-student-type-1-2_1f468-1f3fb-200d-1f393.png', '👨🏼\u200d🎓': 'male-student-type-3_1f468-1f3fc-200d-1f393.png', '👨🏽\u200d🎓': 'male-student-type-4_1f468-1f3fd-200d-1f393.png', '👨🏾\u200d🎓': 'male-student-type-5_1f468-1f3fe-200d-1f393.png', '👨🏿\u200d🎓': 'male-student-type-6_1f468-1f3ff-200d-1f393.png', '👨\u200d🎓': 'male-student_1f468-200d-1f393.png', '👨🏻\u200d🏫': 'male-teacher-type-1-2_1f468-1f3fb-200d-1f3eb.png', '👨🏼\u200d🏫': 'male-teacher-type-3_1f468-1f3fc-200d-1f3eb.png', '👨🏽\u200d🏫': 'male-teacher-type-4_1f468-1f3fd-200d-1f3eb.png', '👨🏾\u200d🏫': 'male-teacher-type-5_1f468-1f3fe-200d-1f3eb.png', '👨🏿\u200d🏫': 'male-teacher-type-6_1f468-1f3ff-200d-1f3eb.png', '👨\u200d🏫': 'male-teacher_1f468-200d-1f3eb.png', '👨🏻\u200d💻': 'male-technologist-type-1-2_1f468-1f3fb-200d-1f4bb.png', '👨🏼\u200d💻': 'male-technologist-type-3_1f468-1f3fc-200d-1f4bb.png', '👨🏽\u200d💻': 'male-technologist-type-4_1f468-1f3fd-200d-1f4bb.png', '👨🏾\u200d💻': 'male-technologist-type-5_1f468-1f3fe-200d-1f4bb.png', '👨🏿\u200d💻': 'male-technologist-type-6_1f468-1f3ff-200d-1f4bb.png', '👨\u200d💻': 'male-technologist_1f468-200d-1f4bb.png', '👫': 'man-and-woman-holding-hands_1f46b.png', '👨🏿\u200d\U0001f9b2': 'man-bald-dark-skin-tone_1f468-1f3ff-200d-1f9b2.png', '👨🏻\u200d\U0001f9b2': 'man-bald-light-skin-tone_1f468-1f3fb-200d-1f9b2.png', '👨🏾\u200d\U0001f9b2': 'man-bald-medium-dark-skin-tone_1f468-1f3fe-200d-1f9b2.png', '👨🏼\u200d\U0001f9b2': 'man-bald-medium-light-skin-tone_1f468-1f3fc-200d-1f9b2.png', '👨🏽\u200d\U0001f9b2': 'man-bald-medium-skin-tone_1f468-1f3fd-200d-1f9b2.png', '👨\u200d\U0001f9b2': 'man-bald_1f468-200d-1f9b2.png', '🚴🏻\u200d♂️': 'man-biking-type-1-2_1f6b4-1f3fb-200d-2642-fe0f.png', '🚴🏼\u200d♂️': 'man-biking-type-3_1f6b4-1f3fc-200d-2642-fe0f.png', '🚴🏽\u200d♂️': 'man-biking-type-4_1f6b4-1f3fd-200d-2642-fe0f.png', '🚴🏾\u200d♂️': 'man-biking-type-5_1f6b4-1f3fe-200d-2642-fe0f.png', '🚴🏿\u200d♂️': 'man-biking-type-6_1f6b4-1f3ff-200d-2642-fe0f.png', '🚴\u200d♂️': 'man-biking_1f6b4-200d-2642-fe0f.png', '🙇🏻\u200d♂️': 'man-bowing-deeply-type-1-2_1f647-1f3fb-200d-2642-fe0f.png', '🙇🏼\u200d♂️': 'man-bowing-deeply-type-3_1f647-1f3fc-200d-2642-fe0f.png', '🙇🏽\u200d♂️': 'man-bowing-deeply-type-4_1f647-1f3fd-200d-2642-fe0f.png', '🙇🏾\u200d♂️': 'man-bowing-deeply-type-5_1f647-1f3fe-200d-2642-fe0f.png', '🙇🏿\u200d♂️': 'man-bowing-deeply-type-6_1f647-1f3ff-200d-2642-fe0f.png', '🙇\u200d♂️': 'man-bowing-deeply_1f647-200d-2642-fe0f.png', '\U0001f9d7🏿\u200d♂️': 'man-climbing-dark-skin-tone_1f9d7-1f3ff-200d-2642-fe0f.png', '\U0001f9d7🏻\u200d♂️': 'man-climbing-light-skin-tone_1f9d7-1f3fb-200d-2642-fe0f.png', '\U0001f9d7🏾\u200d♂️': 'man-climbing-medium-dark-skin-tone_1f9d7-1f3fe-200d-2642-fe0f.png', '\U0001f9d7🏼\u200d♂️': 'man-climbing-medium-light-skin-tone_1f9d7-1f3fc-200d-2642-fe0f.png', '\U0001f9d7🏽\u200d♂️': 'man-climbing-medium-skin-tone_1f9d7-1f3fd-200d-2642-fe0f.png', '\U0001f9d7\u200d♂️': 'man-climbing_1f9d7-200d-2642-fe0f.png', '👨🏿\u200d\U0001f9b1': 'man-curly-haired-dark-skin-tone_1f468-1f3ff-200d-1f9b1.png', '👨🏻\u200d\U0001f9b1': 'man-curly-haired-light-skin-tone_1f468-1f3fb-200d-1f9b1.png', '👨🏾\u200d\U0001f9b1': 'man-curly-haired-medium-dark-skin-tone_1f468-1f3fe-200d-1f9b1.png', '👨🏼\u200d\U0001f9b1': 'man-curly-haired-medium-light-skin-tone_1f468-1f3fc-200d-1f9b1.png', '👨🏽\u200d\U0001f9b1': 'man-curly-haired-medium-skin-tone_1f468-1f3fd-200d-1f9b1.png', '👨\u200d\U0001f9b1': 'man-curly-haired_1f468-200d-1f9b1.png', '🕺': 'man-dancing_1f57a.png', '🕺🏻🏻': 'man-dancing_emoji-modifier-fitzpatrick-type-1-2_1f57a-1f3fb_1f3fb.png', '🕺🏼🏼': 'man-dancing_emoji-modifier-fitzpatrick-type-3_1f57a-1f3fc_1f3fc.png', '🕺🏽🏽': 'man-dancing_emoji-modifier-fitzpatrick-type-4_1f57a-1f3fd_1f3fd.png', '🕺🏾🏾': 'man-dancing_emoji-modifier-fitzpatrick-type-5_1f57a-1f3fe_1f3fe.png', '🕺🏿🏿': 'man-dancing_emoji-modifier-fitzpatrick-type-6_1f57a-1f3ff_1f3ff.png', '🤸🏻\u200d♂️': 'man-doing-cartwheel-type-1-2_1f938-1f3fb-200d-2642-fe0f.png', '🤸🏼\u200d♂️': 'man-doing-cartwheel-type-3_1f938-1f3fc-200d-2642-fe0f.png', '🤸🏽\u200d♂️': 'man-doing-cartwheel-type-4_1f938-1f3fd-200d-2642-fe0f.png', '🤸🏾\u200d♂️': 'man-doing-cartwheel-type-5_1f938-1f3fe-200d-2642-fe0f.png', '🤸🏿\u200d♂️': 'man-doing-cartwheel-type-6_1f938-1f3ff-200d-2642-fe0f.png', '🤸\u200d♂️': 'man-doing-cartwheel_1f938-200d-2642-fe0f.png', '\U0001f9dd🏿\u200d♂️': 'man-elf-dark-skin-tone_1f9dd-1f3ff-200d-2642-fe0f.png', '\U0001f9dd🏻\u200d♂️': 'man-elf-light-skin-tone_1f9dd-1f3fb-200d-2642-fe0f.png', '\U0001f9dd🏾\u200d♂️': 'man-elf-medium-dark-skin-tone_1f9dd-1f3fe-200d-2642-fe0f.png', '\U0001f9dd🏼\u200d♂️': 'man-elf-medium-light-skin-tone_1f9dd-1f3fc-200d-2642-fe0f.png', '\U0001f9dd🏽\u200d♂️': 'man-elf-medium-skin-tone_1f9dd-1f3fd-200d-2642-fe0f.png', '\U0001f9dd\u200d♂️': 'man-elf_1f9dd-200d-2642-fe0f.png', '🤦🏻\u200d♂️': 'man-facepalming-type-1-2_1f926-1f3fb-200d-2642-fe0f.png', '🤦🏼\u200d♂️': 'man-facepalming-type-3_1f926-1f3fc-200d-2642-fe0f.png', '🤦🏽\u200d♂️': 'man-facepalming-type-4_1f926-1f3fd-200d-2642-fe0f.png', '🤦🏾\u200d♂️': 'man-facepalming-type-5_1f926-1f3fe-200d-2642-fe0f.png', '🤦🏿\u200d♂️': 'man-facepalming-type-6_1f926-1f3ff-200d-2642-fe0f.png', '🤦\u200d♂️': 'man-facepalming_1f926-200d-2642-fe0f.png', '\U0001f9da🏿\u200d♂️': 'man-fairy-dark-skin-tone_1f9da-1f3ff-200d-2642-fe0f.png', '\U0001f9da🏻\u200d♂️': 'man-fairy-light-skin-tone_1f9da-1f3fb-200d-2642-fe0f.png', '\U0001f9da🏾\u200d♂️': 'man-fairy-medium-dark-skin-tone_1f9da-1f3fe-200d-2642-fe0f.png', '\U0001f9da🏼\u200d♂️': 'man-fairy-medium-light-skin-tone_1f9da-1f3fc-200d-2642-fe0f.png', '\U0001f9da🏽\u200d♂️': 'man-fairy-medium-skin-tone_1f9da-1f3fd-200d-2642-fe0f.png', '\U0001f9da\u200d♂️': 'man-fairy_1f9da-200d-2642-fe0f.png', '🙍🏻\u200d♂️': 'man-frowning-type-1-2_1f64d-1f3fb-200d-2642-fe0f.png', '🙍🏼\u200d♂️': 'man-frowning-type-3_1f64d-1f3fc-200d-2642-fe0f.png', '🙍🏽\u200d♂️': 'man-frowning-type-4_1f64d-1f3fd-200d-2642-fe0f.png', '🙍🏾\u200d♂️': 'man-frowning-type-5_1f64d-1f3fe-200d-2642-fe0f.png', '🙍🏿\u200d♂️': 'man-frowning-type-6_1f64d-1f3ff-200d-2642-fe0f.png', '🙍\u200d♂️': 'man-frowning_1f64d-200d-2642-fe0f.png', '\U0001f9de\u200d♂️': 'man-genie_1f9de-200d-2642-fe0f.png', '🙅🏻\u200d♂️': 'man-gesturing-not-ok-type-1-2_1f645-1f3fb-200d-2642-fe0f.png', '🙅🏼\u200d♂️': 'man-gesturing-not-ok-type-3_1f645-1f3fc-200d-2642-fe0f.png', '🙅🏽\u200d♂️': 'man-gesturing-not-ok-type-4_1f645-1f3fd-200d-2642-fe0f.png', '🙅🏾\u200d♂️': 'man-gesturing-not-ok-type-5_1f645-1f3fe-200d-2642-fe0f.png', '🙅🏿\u200d♂️': 'man-gesturing-not-ok-type-6_1f645-1f3ff-200d-2642-fe0f.png', '🙅\u200d♂️': 'man-gesturing-not-ok_1f645-200d-2642-fe0f.png', '🙆🏻\u200d♂️': 'man-gesturing-ok-type-1-2_1f646-1f3fb-200d-2642-fe0f.png', '🙆🏼\u200d♂️': 'man-gesturing-ok-type-3_1f646-1f3fc-200d-2642-fe0f.png', '🙆🏽\u200d♂️': 'man-gesturing-ok-type-4_1f646-1f3fd-200d-2642-fe0f.png', '🙆🏾\u200d♂️': 'man-gesturing-ok-type-5_1f646-1f3fe-200d-2642-fe0f.png', '🙆🏿\u200d♂️': 'man-gesturing-ok-type-6_1f646-1f3ff-200d-2642-fe0f.png', '🙆\u200d♂️': 'man-gesturing-ok_1f646-200d-2642-fe0f.png', '💆🏻\u200d♂️': 'man-getting-face-massage-type-1-2_1f486-1f3fb-200d-2642-fe0f.png', '💆🏼\u200d♂️': 'man-getting-face-massage-type-3_1f486-1f3fc-200d-2642-fe0f.png', '💆🏽\u200d♂️': 'man-getting-face-massage-type-4_1f486-1f3fd-200d-2642-fe0f.png', '💆🏾\u200d♂️': 'man-getting-face-massage-type-5_1f486-1f3fe-200d-2642-fe0f.png', '💆🏿\u200d♂️': 'man-getting-face-massage-type-6_1f486-1f3ff-200d-2642-fe0f.png', '💆\u200d♂️': 'man-getting-face-massage_1f486-200d-2642-fe0f.png', '💇🏻\u200d♂️': 'man-getting-haircut-type-1-2_1f487-1f3fb-200d-2642-fe0f.png', '💇🏼\u200d♂️': 'man-getting-haircut-type-3_1f487-1f3fc-200d-2642-fe0f.png', '💇🏽\u200d♂️': 'man-getting-haircut-type-4_1f487-1f3fd-200d-2642-fe0f.png', '💇🏾\u200d♂️': 'man-getting-haircut-type-5_1f487-1f3fe-200d-2642-fe0f.png', '💇🏿\u200d♂️': 'man-getting-haircut-type-6_1f487-1f3ff-200d-2642-fe0f.png', '💇\u200d♂️': 'man-getting-haircut_1f487-200d-2642-fe0f.png', '🏌🏻\u200d♂️': 'man-golfing-type-1-2_1f3cc-1f3fb-200d-2642-fe0f.png', '🏌🏼\u200d♂️': 'man-golfing-type-3_1f3cc-1f3fc-200d-2642-fe0f.png', '🏌🏽\u200d♂️': 'man-golfing-type-4_1f3cc-1f3fd-200d-2642-fe0f.png', '🏌🏾\u200d♂️': 'man-golfing-type-5_1f3cc-1f3fe-200d-2642-fe0f.png', '🏌🏿\u200d♂️': 'man-golfing-type-6_1f3cc-1f3ff-200d-2642-fe0f.png', '🏌️\u200d♂️': 'man-golfing_1f3cc-fe0f-200d-2642-fe0f.png', '🕴': 'man-in-business-suit-levitating_1f574.png', '🕴🏻🏻': 'man-in-business-suit-levitating_emoji-modifier-fitzpatrick-type-1-2_1f574-1f3fb_1f3fb.png', '🕴🏼🏼': 'man-in-business-suit-levitating_emoji-modifier-fitzpatrick-type-3_1f574-1f3fc_1f3fc.png', '🕴🏽🏽': 'man-in-business-suit-levitating_emoji-modifier-fitzpatrick-type-4_1f574-1f3fd_1f3fd.png', '🕴🏾🏾': 'man-in-business-suit-levitating_emoji-modifier-fitzpatrick-type-5_1f574-1f3fe_1f3fe.png', '🕴🏿🏿': 'man-in-business-suit-levitating_emoji-modifier-fitzpatrick-type-6_1f574-1f3ff_1f3ff.png', '\U0001f9d8🏿\u200d♂️': 'man-in-lotus-position-dark-skin-tone_1f9d8-1f3ff-200d-2642-fe0f.png', '\U0001f9d8🏻\u200d♂️': 'man-in-lotus-position-light-skin-tone_1f9d8-1f3fb-200d-2642-fe0f.png', '\U0001f9d8🏾\u200d♂️': 'man-in-lotus-position-medium-dark-skin-tone_1f9d8-1f3fe-200d-2642-fe0f.png', '\U0001f9d8🏼\u200d♂️': 'man-in-lotus-position-medium-light-skin-tone_1f9d8-1f3fc-200d-2642-fe0f.png', '\U0001f9d8🏽\u200d♂️': 'man-in-lotus-position-medium-skin-tone_1f9d8-1f3fd-200d-2642-fe0f.png', '\U0001f9d8\u200d♂️': 'man-in-lotus-position_1f9d8-200d-2642-fe0f.png', '\U0001f9d6🏿\u200d♂️': 'man-in-steamy-room-dark-skin-tone_1f9d6-1f3ff-200d-2642-fe0f.png', '\U0001f9d6🏻\u200d♂️': 'man-in-steamy-room-light-skin-tone_1f9d6-1f3fb-200d-2642-fe0f.png', '\U0001f9d6🏾\u200d♂️': 'man-in-steamy-room-medium-dark-skin-tone_1f9d6-1f3fe-200d-2642-fe0f.png', '\U0001f9d6🏼\u200d♂️': 'man-in-steamy-room-medium-light-skin-tone_1f9d6-1f3fc-200d-2642-fe0f.png', '\U0001f9d6🏽\u200d♂️': 'man-in-steamy-room-medium-skin-tone_1f9d6-1f3fd-200d-2642-fe0f.png', '\U0001f9d6\u200d♂️': 'man-in-steamy-room_1f9d6-200d-2642-fe0f.png', '🤵': 'man-in-tuxedo_1f935.png', '🤵🏻🏻': 'man-in-tuxedo_emoji-modifier-fitzpatrick-type-1-2_1f935-1f3fb_1f3fb.png', '🤵🏼🏼': 'man-in-tuxedo_emoji-modifier-fitzpatrick-type-3_1f935-1f3fc_1f3fc.png', '🤵🏽🏽': 'man-in-tuxedo_emoji-modifier-fitzpatrick-type-4_1f935-1f3fd_1f3fd.png', '🤵🏾🏾': 'man-in-tuxedo_emoji-modifier-fitzpatrick-type-5_1f935-1f3fe_1f3fe.png', '🤵🏿🏿': 'man-in-tuxedo_emoji-modifier-fitzpatrick-type-6_1f935-1f3ff_1f3ff.png', '🤹🏻\u200d♂️': 'man-juggling-type-1-2_1f939-1f3fb-200d-2642-fe0f.png', '🤹🏼\u200d♂️': 'man-juggling-type-3_1f939-1f3fc-200d-2642-fe0f.png', '🤹🏽\u200d♂️': 'man-juggling-type-4_1f939-1f3fd-200d-2642-fe0f.png', '🤹🏾\u200d♂️': 'man-juggling-type-5_1f939-1f3fe-200d-2642-fe0f.png', '🤹🏿\u200d♂️': 'man-juggling-type-6_1f939-1f3ff-200d-2642-fe0f.png', '🤹\u200d♂️': 'man-juggling_1f939-200d-2642-fe0f.png', '\U0001f9d9🏿\u200d♂️': 'man-mage-dark-skin-tone_1f9d9-1f3ff-200d-2642-fe0f.png', '\U0001f9d9🏻\u200d♂️': 'man-mage-light-skin-tone_1f9d9-1f3fb-200d-2642-fe0f.png', '\U0001f9d9🏾\u200d♂️': 'man-mage-medium-dark-skin-tone_1f9d9-1f3fe-200d-2642-fe0f.png', '\U0001f9d9🏼\u200d♂️': 'man-mage-medium-light-skin-tone_1f9d9-1f3fc-200d-2642-fe0f.png', '\U0001f9d9🏽\u200d♂️': 'man-mage-medium-skin-tone_1f9d9-1f3fd-200d-2642-fe0f.png', '\U0001f9d9\u200d♂️': 'man-mage_1f9d9-200d-2642-fe0f.png', '🚵🏻\u200d♂️': 'man-mountain-biking-type-1-2_1f6b5-1f3fb-200d-2642-fe0f.png', '🚵🏼\u200d♂️': 'man-mountain-biking-type-3_1f6b5-1f3fc-200d-2642-fe0f.png', '🚵🏽\u200d♂️': 'man-mountain-biking-type-4_1f6b5-1f3fd-200d-2642-fe0f.png', '🚵🏾\u200d♂️': 'man-mountain-biking-type-5_1f6b5-1f3fe-200d-2642-fe0f.png', '🚵🏿\u200d♂️': 'man-mountain-biking-type-6_1f6b5-1f3ff-200d-2642-fe0f.png', '🚵\u200d♂️': 'man-mountain-biking_1f6b5-200d-2642-fe0f.png', '🤾🏻\u200d♂️': 'man-playing-handball-type-1-2_1f93e-1f3fb-200d-2642-fe0f.png', '🤾🏼\u200d♂️': 'man-playing-handball-type-3_1f93e-1f3fc-200d-2642-fe0f.png', '🤾🏽\u200d♂️': 'man-playing-handball-type-4_1f93e-1f3fd-200d-2642-fe0f.png', '🤾🏾\u200d♂️': 'man-playing-handball-type-5_1f93e-1f3fe-200d-2642-fe0f.png', '🤾🏿\u200d♂️': 'man-playing-handball-type-6_1f93e-1f3ff-200d-2642-fe0f.png', '🤾\u200d♂️': 'man-playing-handball_1f93e-200d-2642-fe0f.png', '🤽🏻\u200d♂️': 'man-playing-water-polo-type-1-2_1f93d-1f3fb-200d-2642-fe0f.png', '🤽🏼\u200d♂️': 'man-playing-water-polo-type-3_1f93d-1f3fc-200d-2642-fe0f.png', '🤽🏽\u200d♂️': 'man-playing-water-polo-type-4_1f93d-1f3fd-200d-2642-fe0f.png', '🤽🏾\u200d♂️': 'man-playing-water-polo-type-5_1f93d-1f3fe-200d-2642-fe0f.png', '🤽🏿\u200d♂️': 'man-playing-water-polo-type-6_1f93d-1f3ff-200d-2642-fe0f.png', '🤽\u200d♂️': 'man-playing-water-polo_1f93d-200d-2642-fe0f.png', '🙎🏻\u200d♂️': 'man-pouting-type-1-2_1f64e-1f3fb-200d-2642-fe0f.png', '🙎🏼\u200d♂️': 'man-pouting-type-3_1f64e-1f3fc-200d-2642-fe0f.png', '🙎🏽\u200d♂️': 'man-pouting-type-4_1f64e-1f3fd-200d-2642-fe0f.png', '🙎🏾\u200d♂️': 'man-pouting-type-5_1f64e-1f3fe-200d-2642-fe0f.png', '🙎🏿\u200d♂️': 'man-pouting-type-6_1f64e-1f3ff-200d-2642-fe0f.png', '🙎\u200d♂️': 'man-pouting_1f64e-200d-2642-fe0f.png', '🙋🏻\u200d♂️': 'man-raising-hand-type-1-2_1f64b-1f3fb-200d-2642-fe0f.png', '🙋🏼\u200d♂️': 'man-raising-hand-type-3_1f64b-1f3fc-200d-2642-fe0f.png', '🙋🏽\u200d♂️': 'man-raising-hand-type-4_1f64b-1f3fd-200d-2642-fe0f.png', '🙋🏾\u200d♂️': 'man-raising-hand-type-5_1f64b-1f3fe-200d-2642-fe0f.png', '🙋🏿\u200d♂️': 'man-raising-hand-type-6_1f64b-1f3ff-200d-2642-fe0f.png', '🙋\u200d♂️': 'man-raising-hand_1f64b-200d-2642-fe0f.png', '👨🏿\u200d\U0001f9b0': 'man-red-haired-dark-skin-tone_1f468-1f3ff-200d-1f9b0.png', '👨🏻\u200d\U0001f9b0': 'man-red-haired-light-skin-tone_1f468-1f3fb-200d-1f9b0.png', '👨🏾\u200d\U0001f9b0': 'man-red-haired-medium-dark-skin-tone_1f468-1f3fe-200d-1f9b0.png', '👨🏼\u200d\U0001f9b0': 'man-red-haired-medium-light-skin-tone_1f468-1f3fc-200d-1f9b0.png', '👨🏽\u200d\U0001f9b0': 'man-red-haired-medium-skin-tone_1f468-1f3fd-200d-1f9b0.png', '👨\u200d\U0001f9b0': 'man-red-haired_1f468-200d-1f9b0.png', '🚣🏻\u200d♂️': 'man-rowing-boat-type-1-2_1f6a3-1f3fb-200d-2642-fe0f.png', '🚣🏼\u200d♂️': 'man-rowing-boat-type-3_1f6a3-1f3fc-200d-2642-fe0f.png', '🚣🏽\u200d♂️': 'man-rowing-boat-type-4_1f6a3-1f3fd-200d-2642-fe0f.png', '🚣🏾\u200d♂️': 'man-rowing-boat-type-5_1f6a3-1f3fe-200d-2642-fe0f.png', '🚣🏿\u200d♂️': 'man-rowing-boat-type-6_1f6a3-1f3ff-200d-2642-fe0f.png', '🚣\u200d♂️': 'man-rowing-boat_1f6a3-200d-2642-fe0f.png', '🏃🏻\u200d♂️': 'man-running-type-1-2_1f3c3-1f3fb-200d-2642-fe0f.png', '🏃🏼\u200d♂️': 'man-running-type-3_1f3c3-1f3fc-200d-2642-fe0f.png', '🏃🏽\u200d♂️': 'man-running-type-4_1f3c3-1f3fd-200d-2642-fe0f.png', '🏃🏾\u200d♂️': 'man-running-type-5_1f3c3-1f3fe-200d-2642-fe0f.png', '🏃🏿\u200d♂️': 'man-running-type-6_1f3c3-1f3ff-200d-2642-fe0f.png', '🏃\u200d♂️': 'man-running_1f3c3-200d-2642-fe0f.png', '🤷🏻\u200d♂️': 'man-shrugging-type-1-2_1f937-1f3fb-200d-2642-fe0f.png', '🤷🏼\u200d♂️': 'man-shrugging-type-3_1f937-1f3fc-200d-2642-fe0f.png', '🤷🏽\u200d♂️': 'man-shrugging-type-4_1f937-1f3fd-200d-2642-fe0f.png', '🤷🏾\u200d♂️': 'man-shrugging-type-5_1f937-1f3fe-200d-2642-fe0f.png', '🤷🏿\u200d♂️': 'man-shrugging-type-6_1f937-1f3ff-200d-2642-fe0f.png', '🤷\u200d♂️': 'man-shrugging_1f937-200d-2642-fe0f.png', '\U0001f9b8🏿\u200d♂️': 'man-superhero-dark-skin-tone_1f9b8-1f3ff-200d-2642-fe0f.png', '\U0001f9b8🏻\u200d♂️': 'man-superhero-light-skin-tone_1f9b8-1f3fb-200d-2642-fe0f.png', '\U0001f9b8🏾\u200d♂️': 'man-superhero-medium-dark-skin-tone_1f9b8-1f3fe-200d-2642-fe0f.png', '\U0001f9b8🏼\u200d♂️': 'man-superhero-medium-light-skin-tone_1f9b8-1f3fc-200d-2642-fe0f.png', '\U0001f9b8🏽\u200d♂️': 'man-superhero-medium-skin-tone_1f9b8-1f3fd-200d-2642-fe0f.png', '\U0001f9b8\u200d♂️': 'man-superhero_1f9b8-200d-2642-fe0f.png', '\U0001f9b9🏿\u200d♂️': 'man-supervillain-dark-skin-tone_1f9b9-1f3ff-200d-2642-fe0f.png', '\U0001f9b9🏻\u200d♂️': 'man-supervillain-light-skin-tone_1f9b9-1f3fb-200d-2642-fe0f.png', '\U0001f9b9🏾\u200d♂️': 'man-supervillain-medium-dark-skin-tone_1f9b9-1f3fe-200d-2642-fe0f.png', '\U0001f9b9🏼\u200d♂️': 'man-supervillain-medium-light-skin-tone_1f9b9-1f3fc-200d-2642-fe0f.png', '\U0001f9b9🏽\u200d♂️': 'man-supervillain-medium-skin-tone_1f9b9-1f3fd-200d-2642-fe0f.png', '\U0001f9b9\u200d♂️': 'man-supervillain_1f9b9-200d-2642-fe0f.png', '🏄🏻\u200d♂️': 'man-surfing-type-1-2_1f3c4-1f3fb-200d-2642-fe0f.png', '🏄🏼\u200d♂️': 'man-surfing-type-3_1f3c4-1f3fc-200d-2642-fe0f.png', '🏄🏽\u200d♂️': 'man-surfing-type-4_1f3c4-1f3fd-200d-2642-fe0f.png', '🏄🏾\u200d♂️': 'man-surfing-type-5_1f3c4-1f3fe-200d-2642-fe0f.png', '🏄🏿\u200d♂️': 'man-surfing-type-6_1f3c4-1f3ff-200d-2642-fe0f.png', '🏄\u200d♂️': 'man-surfing_1f3c4-200d-2642-fe0f.png', '🏊🏻\u200d♂️': 'man-swimming-type-1-2_1f3ca-1f3fb-200d-2642-fe0f.png', '🏊🏼\u200d♂️': 'man-swimming-type-3_1f3ca-1f3fc-200d-2642-fe0f.png', '🏊🏽\u200d♂️': 'man-swimming-type-4_1f3ca-1f3fd-200d-2642-fe0f.png', '🏊🏾\u200d♂️': 'man-swimming-type-5_1f3ca-1f3fe-200d-2642-fe0f.png', '🏊🏿\u200d♂️': 'man-swimming-type-6_1f3ca-1f3ff-200d-2642-fe0f.png', '🏊\u200d♂️': 'man-swimming_1f3ca-200d-2642-fe0f.png', '💁🏻\u200d♂️': 'man-tipping-hand-type-1-2_1f481-1f3fb-200d-2642-fe0f.png', '💁🏼\u200d♂️': 'man-tipping-hand-type-3_1f481-1f3fc-200d-2642-fe0f.png', '💁🏽\u200d♂️': 'man-tipping-hand-type-4_1f481-1f3fd-200d-2642-fe0f.png', '💁🏾\u200d♂️': 'man-tipping-hand-type-5_1f481-1f3fe-200d-2642-fe0f.png', '💁🏿\u200d♂️': 'man-tipping-hand-type-6_1f481-1f3ff-200d-2642-fe0f.png', '💁\u200d♂️': 'man-tipping-hand_1f481-200d-2642-fe0f.png', '\U0001f9db🏿\u200d♂️': 'man-vampire-dark-skin-tone_1f9db-1f3ff-200d-2642-fe0f.png', '\U0001f9db🏻\u200d♂️': 'man-vampire-light-skin-tone_1f9db-1f3fb-200d-2642-fe0f.png', '\U0001f9db🏾\u200d♂️': 'man-vampire-medium-dark-skin-tone_1f9db-1f3fe-200d-2642-fe0f.png', '\U0001f9db🏼\u200d♂️': 'man-vampire-medium-light-skin-tone_1f9db-1f3fc-200d-2642-fe0f.png', '\U0001f9db🏽\u200d♂️': 'man-vampire-medium-skin-tone_1f9db-1f3fd-200d-2642-fe0f.png', '\U0001f9db\u200d♂️': 'man-vampire_1f9db-200d-2642-fe0f.png', '🚶🏻\u200d♂️': 'man-walking-type-1-2_1f6b6-1f3fb-200d-2642-fe0f.png', '🚶🏼\u200d♂️': 'man-walking-type-3_1f6b6-1f3fc-200d-2642-fe0f.png', '🚶🏽\u200d♂️': 'man-walking-type-4_1f6b6-1f3fd-200d-2642-fe0f.png', '🚶🏾\u200d♂️': 'man-walking-type-5_1f6b6-1f3fe-200d-2642-fe0f.png', '🚶🏿\u200d♂️': 'man-walking-type-6_1f6b6-1f3ff-200d-2642-fe0f.png', '🚶\u200d♂️': 'man-walking_1f6b6-200d-2642-fe0f.png', '👳🏻\u200d♂️': 'man-wearing-turban-type-1-2_1f473-1f3fb-200d-2642-fe0f.png', '👳🏼\u200d♂️': 'man-wearing-turban-type-3_1f473-1f3fc-200d-2642-fe0f.png', '👳🏽\u200d♂️': 'man-wearing-turban-type-4_1f473-1f3fd-200d-2642-fe0f.png', '👳🏾\u200d♂️': 'man-wearing-turban-type-5_1f473-1f3fe-200d-2642-fe0f.png', '👳🏿\u200d♂️': 'man-wearing-turban-type-6_1f473-1f3ff-200d-2642-fe0f.png', '👳\u200d♂️': 'man-wearing-turban_1f473-200d-2642-fe0f.png', '🏋🏻\u200d♂️': 'man-weight-lifting-type-1-2_1f3cb-1f3fb-200d-2642-fe0f.png', '🏋🏼\u200d♂️': 'man-weight-lifting-type-3_1f3cb-1f3fc-200d-2642-fe0f.png', '🏋🏽\u200d♂️': 'man-weight-lifting-type-4_1f3cb-1f3fd-200d-2642-fe0f.png', '🏋🏾\u200d♂️': 'man-weight-lifting-type-5_1f3cb-1f3fe-200d-2642-fe0f.png', '🏋🏿\u200d♂️': 'man-weight-lifting-type-6_1f3cb-1f3ff-200d-2642-fe0f.png', '🏋️\u200d♂️': 'man-weight-lifting_1f3cb-fe0f-200d-2642-fe0f.png', '👨🏿\u200d\U0001f9b3': 'man-white-haired-dark-skin-tone_1f468-1f3ff-200d-1f9b3.png', '👨🏻\u200d\U0001f9b3': 'man-white-haired-light-skin-tone_1f468-1f3fb-200d-1f9b3.png', '👨🏾\u200d\U0001f9b3': 'man-white-haired-medium-dark-skin-tone_1f468-1f3fe-200d-1f9b3.png', '👨🏼\u200d\U0001f9b3': 'man-white-haired-medium-light-skin-tone_1f468-1f3fc-200d-1f9b3.png', '👨🏽\u200d\U0001f9b3': 'man-white-haired-medium-skin-tone_1f468-1f3fd-200d-1f9b3.png', '👨\u200d\U0001f9b3': 'man-white-haired_1f468-200d-1f9b3.png', '⛹🏻\u200d♂️': 'man-with-ball-type-1-2_26f9-1f3fb-200d-2642-fe0f.png', '⛹🏼\u200d♂️': 'man-with-ball-type-3_26f9-1f3fc-200d-2642-fe0f.png', '⛹🏽\u200d♂️': 'man-with-ball-type-4_26f9-1f3fd-200d-2642-fe0f.png', '⛹🏾\u200d♂️': 'man-with-ball-type-5_26f9-1f3fe-200d-2642-fe0f.png', '⛹🏿\u200d♂️': 'man-with-ball-type-6_26f9-1f3ff-200d-2642-fe0f.png', '⛹️\u200d♂️': 'man-with-ball_26f9-fe0f-200d-2642-fe0f.png', '👲': 'man-with-gua-pi-mao_1f472.png', '👲🏻🏻': 'man-with-gua-pi-mao_emoji-modifier-fitzpatrick-type-1-2_1f472-1f3fb_1f3fb.png', '👲🏼🏼': 'man-with-gua-pi-mao_emoji-modifier-fitzpatrick-type-3_1f472-1f3fc_1f3fc.png', '👲🏽🏽': 'man-with-gua-pi-mao_emoji-modifier-fitzpatrick-type-4_1f472-1f3fd_1f3fd.png', '👲🏾🏾': 'man-with-gua-pi-mao_emoji-modifier-fitzpatrick-type-5_1f472-1f3fe_1f3fe.png', '👲🏿🏿': 'man-with-gua-pi-mao_emoji-modifier-fitzpatrick-type-6_1f472-1f3ff_1f3ff.png', '👳': 'man-with-turban_1f473.png', '👳🏻🏻': 'man-with-turban_emoji-modifier-fitzpatrick-type-1-2_1f473-1f3fb_1f3fb.png', '👳🏼🏼': 'man-with-turban_emoji-modifier-fitzpatrick-type-3_1f473-1f3fc_1f3fc.png', '👳🏽🏽': 'man-with-turban_emoji-modifier-fitzpatrick-type-4_1f473-1f3fd_1f3fd.png', '👳🏾🏾': 'man-with-turban_emoji-modifier-fitzpatrick-type-5_1f473-1f3fe_1f3fe.png', '👳🏿🏿': 'man-with-turban_emoji-modifier-fitzpatrick-type-6_1f473-1f3ff_1f3ff.png', '\U0001f9df\u200d♂️': 'man-zombie_1f9df-200d-2642-fe0f.png', '\U0001f96d': 'mango_1f96d.png', '👞': 'mans-shoe_1f45e.png', '🕰': 'mantelpiece-clock_1f570.png', '👨': 'man_1f468.png', '👨🏻🏻': 'man_emoji-modifier-fitzpatrick-type-1-2_1f468-1f3fb_1f3fb.png', '👨🏼🏼': 'man_emoji-modifier-fitzpatrick-type-3_1f468-1f3fc_1f3fc.png', '👨🏽🏽': 'man_emoji-modifier-fitzpatrick-type-4_1f468-1f3fd_1f3fd.png', '👨🏾🏾': 'man_emoji-modifier-fitzpatrick-type-5_1f468-1f3fe_1f3fe.png', '👨🏿🏿': 'man_emoji-modifier-fitzpatrick-type-6_1f468-1f3ff_1f3ff.png', '🍁': 'maple-leaf_1f341.png', '🥋': 'martial-arts-uniform_1f94b.png', '🍖': 'meat-on-bone_1f356.png', '⚫': 'medium-black-circle_26ab.png', '⚪': 'medium-white-circle_26aa.png', '🍈': 'melon_1f348.png', '📝': 'memo_1f4dd.png', '👯\u200d♂️': 'men-with-bunny-ears-partying_1f46f-200d-2642-fe0f.png', '🤼\u200d♂️': 'men-wrestling_1f93c-200d-2642-fe0f.png', '🕎': 'menorah-with-nine-branches_1f54e.png', '🚹': 'mens-symbol_1f6b9.png', '\U0001f9dc🏿\u200d♂️': 'merman-dark-skin-tone_1f9dc-1f3ff-200d-2642-fe0f.png', '\U0001f9dc🏻\u200d♂️': 'merman-light-skin-tone_1f9dc-1f3fb-200d-2642-fe0f.png', '\U0001f9dc🏾\u200d♂️': 'merman-medium-dark-skin-tone_1f9dc-1f3fe-200d-2642-fe0f.png', '\U0001f9dc🏼\u200d♂️': 'merman-medium-light-skin-tone_1f9dc-1f3fc-200d-2642-fe0f.png', '\U0001f9dc🏽\u200d♂️': 'merman-medium-skin-tone_1f9dc-1f3fd-200d-2642-fe0f.png', '\U0001f9dc\u200d♂️': 'merman_1f9dc-200d-2642-fe0f.png', '\U0001f9dc': 'merperson_1f9dc.png', '\U0001f9dc🏻🏻': 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'woman-red-haired_1f469-200d-1f9b0.png', '🚣🏻\u200d♀️': 'woman-rowing-boat-type-1-2_1f6a3-1f3fb-200d-2640-fe0f.png', '🚣🏼\u200d♀️': 'woman-rowing-boat-type-3_1f6a3-1f3fc-200d-2640-fe0f.png', '🚣🏽\u200d♀️': 'woman-rowing-boat-type-4_1f6a3-1f3fd-200d-2640-fe0f.png', '🚣🏾\u200d♀️': 'woman-rowing-boat-type-5_1f6a3-1f3fe-200d-2640-fe0f.png', '🚣🏿\u200d♀️': 'woman-rowing-boat-type-6_1f6a3-1f3ff-200d-2640-fe0f.png', '🚣\u200d♀️': 'woman-rowing-boat_1f6a3-200d-2640-fe0f.png', '🏃🏻\u200d♀️': 'woman-running-type-1-2_1f3c3-1f3fb-200d-2640-fe0f.png', '🏃🏼\u200d♀️': 'woman-running-type-3_1f3c3-1f3fc-200d-2640-fe0f.png', '🏃🏽\u200d♀️': 'woman-running-type-4_1f3c3-1f3fd-200d-2640-fe0f.png', '🏃🏾\u200d♀️': 'woman-running-type-5_1f3c3-1f3fe-200d-2640-fe0f.png', '🏃🏿\u200d♀️': 'woman-running-type-6_1f3c3-1f3ff-200d-2640-fe0f.png', '🏃\u200d♀️': 'woman-running_1f3c3-200d-2640-fe0f.png', '🤷🏻\u200d♀️': 'woman-shrugging-type-1-2_1f937-1f3fb-200d-2640-fe0f.png', '🤷🏼\u200d♀️': 'woman-shrugging-type-3_1f937-1f3fc-200d-2640-fe0f.png', '🤷🏽\u200d♀️': 'woman-shrugging-type-4_1f937-1f3fd-200d-2640-fe0f.png', '🤷🏾\u200d♀️': 'woman-shrugging-type-5_1f937-1f3fe-200d-2640-fe0f.png', '🤷🏿\u200d♀️': 'woman-shrugging-type-6_1f937-1f3ff-200d-2640-fe0f.png', '🤷\u200d♀️': 'woman-shrugging_1f937-200d-2640-fe0f.png', '\U0001f9b8🏿\u200d♀️': 'woman-superhero-dark-skin-tone_1f9b8-1f3ff-200d-2640-fe0f.png', '\U0001f9b8🏻\u200d♀️': 'woman-superhero-light-skin-tone_1f9b8-1f3fb-200d-2640-fe0f.png', '\U0001f9b8🏾\u200d♀️': 'woman-superhero-medium-dark-skin-tone_1f9b8-1f3fe-200d-2640-fe0f.png', '\U0001f9b8🏼\u200d♀️': 'woman-superhero-medium-light-skin-tone_1f9b8-1f3fc-200d-2640-fe0f.png', '\U0001f9b8🏽\u200d♀️': 'woman-superhero-medium-skin-tone_1f9b8-1f3fd-200d-2640-fe0f.png', '\U0001f9b8\u200d♀️': 'woman-superhero_1f9b8-200d-2640-fe0f.png', '\U0001f9b9🏿\u200d♀️': 'woman-supervillain-dark-skin-tone_1f9b9-1f3ff-200d-2640-fe0f.png', '\U0001f9b9🏻\u200d♀️': 'woman-supervillain-light-skin-tone_1f9b9-1f3fb-200d-2640-fe0f.png', '\U0001f9b9🏾\u200d♀️': 'woman-supervillain-medium-dark-skin-tone_1f9b9-1f3fe-200d-2640-fe0f.png', '\U0001f9b9🏼\u200d♀️': 'woman-supervillain-medium-light-skin-tone_1f9b9-1f3fc-200d-2640-fe0f.png', '\U0001f9b9🏽\u200d♀️': 'woman-supervillain-medium-skin-tone_1f9b9-1f3fd-200d-2640-fe0f.png', '\U0001f9b9\u200d♀️': 'woman-supervillain_1f9b9-200d-2640-fe0f.png', '🏄🏻\u200d♀️': 'woman-surfing-type-1-2_1f3c4-1f3fb-200d-2640-fe0f.png', '🏄🏼\u200d♀️': 'woman-surfing-type-3_1f3c4-1f3fc-200d-2640-fe0f.png', '🏄🏽\u200d♀️': 'woman-surfing-type-4_1f3c4-1f3fd-200d-2640-fe0f.png', '🏄🏾\u200d♀️': 'woman-surfing-type-5_1f3c4-1f3fe-200d-2640-fe0f.png', '🏄🏿\u200d♀️': 'woman-surfing-type-6_1f3c4-1f3ff-200d-2640-fe0f.png', '🏄\u200d♀️': 'woman-surfing_1f3c4-200d-2640-fe0f.png', '🏊🏻\u200d♀️': 'woman-swimming-type-1-2_1f3ca-1f3fb-200d-2640-fe0f.png', '🏊🏼\u200d♀️': 'woman-swimming-type-3_1f3ca-1f3fc-200d-2640-fe0f.png', '🏊🏽\u200d♀️': 'woman-swimming-type-4_1f3ca-1f3fd-200d-2640-fe0f.png', '🏊🏾\u200d♀️': 'woman-swimming-type-5_1f3ca-1f3fe-200d-2640-fe0f.png', '🏊🏿\u200d♀️': 'woman-swimming-type-6_1f3ca-1f3ff-200d-2640-fe0f.png', '🏊\u200d♀️': 'woman-swimming_1f3ca-200d-2640-fe0f.png', '💁🏻\u200d♀️': 'woman-tipping-hand-type-1-2_1f481-1f3fb-200d-2640-fe0f.png', '💁🏼\u200d♀️': 'woman-tipping-hand-type-3_1f481-1f3fc-200d-2640-fe0f.png', '💁🏽\u200d♀️': 'woman-tipping-hand-type-4_1f481-1f3fd-200d-2640-fe0f.png', '💁🏾\u200d♀️': 'woman-tipping-hand-type-5_1f481-1f3fe-200d-2640-fe0f.png', '💁🏿\u200d♀️': 'woman-tipping-hand-type-6_1f481-1f3ff-200d-2640-fe0f.png', '💁\u200d♀️': 'woman-tipping-hand_1f481-200d-2640-fe0f.png', '\U0001f9db🏿\u200d♀️': 'woman-vampire-dark-skin-tone_1f9db-1f3ff-200d-2640-fe0f.png', '\U0001f9db🏻\u200d♀️': 'woman-vampire-light-skin-tone_1f9db-1f3fb-200d-2640-fe0f.png', '\U0001f9db🏾\u200d♀️': 'woman-vampire-medium-dark-skin-tone_1f9db-1f3fe-200d-2640-fe0f.png', '\U0001f9db🏼\u200d♀️': 'woman-vampire-medium-light-skin-tone_1f9db-1f3fc-200d-2640-fe0f.png', '\U0001f9db🏽\u200d♀️': 'woman-vampire-medium-skin-tone_1f9db-1f3fd-200d-2640-fe0f.png', '\U0001f9db\u200d♀️': 'woman-vampire_1f9db-200d-2640-fe0f.png', '🚶🏻\u200d♀️': 'woman-walking-type-1-2_1f6b6-1f3fb-200d-2640-fe0f.png', '🚶🏼\u200d♀️': 'woman-walking-type-3_1f6b6-1f3fc-200d-2640-fe0f.png', '🚶🏽\u200d♀️': 'woman-walking-type-4_1f6b6-1f3fd-200d-2640-fe0f.png', '🚶🏾\u200d♀️': 'woman-walking-type-5_1f6b6-1f3fe-200d-2640-fe0f.png', '🚶🏿\u200d♀️': 'woman-walking-type-6_1f6b6-1f3ff-200d-2640-fe0f.png', '🚶\u200d♀️': 'woman-walking_1f6b6-200d-2640-fe0f.png', '👳🏻\u200d♀️': 'woman-wearing-turban-type-1-2_1f473-1f3fb-200d-2640-fe0f.png', '👳🏼\u200d♀️': 'woman-wearing-turban-type-3_1f473-1f3fc-200d-2640-fe0f.png', '👳🏽\u200d♀️': 'woman-wearing-turban-type-4_1f473-1f3fd-200d-2640-fe0f.png', '👳🏾\u200d♀️': 'woman-wearing-turban-type-5_1f473-1f3fe-200d-2640-fe0f.png', '👳🏿\u200d♀️': 'woman-wearing-turban-type-6_1f473-1f3ff-200d-2640-fe0f.png', '👳\u200d♀️': 'woman-wearing-turban_1f473-200d-2640-fe0f.png', '🏋🏻\u200d♀️': 'woman-weight-lifting-type-1-2_1f3cb-1f3fb-200d-2640-fe0f.png', '🏋🏼\u200d♀️': 'woman-weight-lifting-type-3_1f3cb-1f3fc-200d-2640-fe0f.png', '🏋🏽\u200d♀️': 'woman-weight-lifting-type-4_1f3cb-1f3fd-200d-2640-fe0f.png', '🏋🏾\u200d♀️': 'woman-weight-lifting-type-5_1f3cb-1f3fe-200d-2640-fe0f.png', '🏋🏿\u200d♀️': 'woman-weight-lifting-type-6_1f3cb-1f3ff-200d-2640-fe0f.png', '🏋️\u200d♀️': 'woman-weight-lifting_1f3cb-fe0f-200d-2640-fe0f.png', '👩🏿\u200d\U0001f9b3': 'woman-white-haired-dark-skin-tone_1f469-1f3ff-200d-1f9b3.png', '👩🏻\u200d\U0001f9b3': 'woman-white-haired-light-skin-tone_1f469-1f3fb-200d-1f9b3.png', '👩🏾\u200d\U0001f9b3': 'woman-white-haired-medium-dark-skin-tone_1f469-1f3fe-200d-1f9b3.png', '👩🏼\u200d\U0001f9b3': 'woman-white-haired-medium-light-skin-tone_1f469-1f3fc-200d-1f9b3.png', '👩🏽\u200d\U0001f9b3': 'woman-white-haired-medium-skin-tone_1f469-1f3fd-200d-1f9b3.png', '👩\u200d\U0001f9b3': 'woman-white-haired_1f469-200d-1f9b3.png', '⛹🏻\u200d♀️': 'woman-with-ball-type-1-2_26f9-1f3fb-200d-2640-fe0f.png', '⛹🏼\u200d♀️': 'woman-with-ball-type-3_26f9-1f3fc-200d-2640-fe0f.png', '⛹🏽\u200d♀️': 'woman-with-ball-type-4_26f9-1f3fd-200d-2640-fe0f.png', '⛹🏾\u200d♀️': 'woman-with-ball-type-5_26f9-1f3fe-200d-2640-fe0f.png', '⛹🏿\u200d♀️': 'woman-with-ball-type-6_26f9-1f3ff-200d-2640-fe0f.png', '⛹️\u200d♀️': 'woman-with-ball_26f9-fe0f-200d-2640-fe0f.png', '👯': 'woman-with-bunny-ears_1f46f.png', '\U0001f9df\u200d♀️': 'woman-zombie_1f9df-200d-2640-fe0f.png', '👢': 'womans-boots_1f462.png', '👚': 'womans-clothes_1f45a.png', '👒': 'womans-hat_1f452.png', '👡': 'womans-sandal_1f461.png', '👩': 'woman_1f469.png', '👩🏻🏻': 'woman_emoji-modifier-fitzpatrick-type-1-2_1f469-1f3fb_1f3fb.png', '👩🏼🏼': 'woman_emoji-modifier-fitzpatrick-type-3_1f469-1f3fc_1f3fc.png', '👩🏽🏽': 'woman_emoji-modifier-fitzpatrick-type-4_1f469-1f3fd_1f3fd.png', '👩🏾🏾': 'woman_emoji-modifier-fitzpatrick-type-5_1f469-1f3fe_1f3fe.png', '👩🏿🏿': 'woman_emoji-modifier-fitzpatrick-type-6_1f469-1f3ff_1f3ff.png', '👯\u200d♀️': 'women-with-bunny-ears-partying_1f46f-200d-2640-fe0f.png', '🤼\u200d♀️': 'women-wrestling_1f93c-200d-2640-fe0f.png', '🚺': 'womens-symbol_1f6ba.png', '🗺': 'world-map_1f5fa.png', '😟': 'worried-face_1f61f.png', '🎁': 'wrapped-present_1f381.png', '🔧': 'wrench_1f527.png', '🤼': 'wrestlers_1f93c.png', '✍': 'writing-hand_270d.png', '✍🏻🏻': 'writing-hand_emoji-modifier-fitzpatrick-type-1-2_270d-1f3fb_1f3fb.png', '✍🏼🏼': 'writing-hand_emoji-modifier-fitzpatrick-type-3_270d-1f3fc_1f3fc.png', '✍🏽🏽': 'writing-hand_emoji-modifier-fitzpatrick-type-4_270d-1f3fd_1f3fd.png', '✍🏾🏾': 'writing-hand_emoji-modifier-fitzpatrick-type-5_270d-1f3fe_1f3fe.png', '✍🏿🏿': 'writing-hand_emoji-modifier-fitzpatrick-type-6_270d-1f3ff_1f3ff.png', '💛': 'yellow-heart_1f49b.png', '☯': 'yin-yang_262f.png', '\U0001f993': 'zebra-face_1f993.png', '🤐': 'zipper-mouth-face_1f910.png', '\U0001f9df': 'zombie_1f9df.png'}

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154,320

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fd62cb1714516474402412df5608a5150380d008

128

py

Python

gsfpy/gsfSwathBathySummary.py

irewolepeter/gsfpy_USM_Implementation

c4614ac3f7d833eb86ea38c7708108b130f96612

[ "MIT" ]

7

2020-07-01T07:12:19.000Z

2022-01-20T20:39:57.000Z

gsfpy/gsfSwathBathySummary.py

irewolepeter/gsfpy_USM_Implementation

c4614ac3f7d833eb86ea38c7708108b130f96612

[ "MIT" ]

36

2020-06-23T09:10:15.000Z

2022-03-22T10:27:58.000Z

gsfpy/gsfSwathBathySummary.py

irewolepeter/gsfpy_USM_Implementation

c4614ac3f7d833eb86ea38c7708108b130f96612

[ "MIT" ]

2

2021-02-07T13:21:52.000Z

2021-06-24T19:16:16.000Z

from gsfpy import mirror_default_gsf_version_submodule mirror_default_gsf_version_submodule(globals(), "gsfSwathBathySummary")

32

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7.066667

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1

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b5cee94316ceebe7929ee6d019d967b00171c86e

21,298

py

Python

examples/get_answer_byrules.py

Borororo/interpretable_ropes

c083cc388998a1cfb6720a92ecb943b0edcee204

[ "Apache-2.0" ]

3

2020-10-03T04:07:19.000Z

2020-11-29T13:48:18.000Z

examples/get_answer_byrules.py

Borororo/Interpretable-Modular-KR-for-MRC

cc921b0e04947663fcc60f0552ca8d8907ca6a1b

[ "Apache-2.0" ]

null

examples/get_answer_byrules.py

Borororo/Interpretable-Modular-KR-for-MRC

cc921b0e04947663fcc60f0552ca8d8907ca6a1b

[ "Apache-2.0" ]

null

# -*- coding：utf-8 -*- import json from transformers.data.metrics.squad_metrics import ( compute_f1 ) import os import random def read_predicted_file(predict_file,pred): Object_question_words ={"which",'in which','whose','who','what','for which','on which'} comparative_words =[ 'more', 'less', 'higher', 'lower', 'increase', 'decrease', 'high', 'low', 'harder', 'easier', 'increasing', 'decreasing', 'up', 'down', 'larger', 'smaller','better','worse','faster','slower','weaker','stronger','closer','farther','louder','quieter','correctly','incorrectly','not','yes','no','not' ] positive_words = ['more', 'higher', 'increase', 'high', 'harder', 'increasing', 'up', 'larger', 'better', 'faster', 'stronger', 'closer', 'louder', 'correctly'] negative_words = ['less', 'lower', 'decrease', 'low', 'easier', 'decreasing', 'down', 'smaller', 'worse', 'slower', 'weaker', 'farther', 'quieter', 'incorrectly','fewer','not','avoid'] all_object_scores = [] record={} pred_f1 =[] filtered = [1912355095, 580926078, 2893035919, 3005625773, 4037359159, 1090395805, 1111432861, 1772822810, 1779114266, 3003444033, 1687481522, 373839753, 3209385804, 3128907286, 1746228971, 4088330372, 4227418477, 4047850835, 302402461, 603409309, 2849858743, 2050057087, 336287454, 1787516699, 184586157, 2999947384, 1202686909, 1223723965, 2335934912, 2677049981, 1182285725, 430326667, 4183507762, 1091390005, 1076054581, 3847534556, 4074158044, 955038082, 1423883267, 1626887498, 184177891, 1586058524, 156980418, 1607423284, 1608996147, 3071497657, 3865282641, 1588430868, 3876948090, 3344467660, 3346695902, 3600844723, 3227879116, 3484256179, 2934519278, 3876075109, 2041918832, 1115960569, 1108882681, 2013214064, 3895408229, 2975020526, 3885579536, 356328641, 985605428, 809437101, 494407430, 3999682891, 1562329124, 1505378340, 2022868633, 2022147737, 1729594789, 1730315685, 1082622173, 1205043665, 1081901277, 1204322769] filtered_id = [str(i) for i in filtered] with open(predict_file, "r", encoding="utf-8")as reader: input_data = json.load(reader) for entry in input_data["data"]: for paragraph in entry["paragraphs"]: paragraph_text = paragraph["background"] situation_text = paragraph['situation'] for qa in paragraph['qas']: qas_id = qa['id'] question_text =qa['question'] answer_text = qa['answers'][0]['text'] predicts = qa['predicts'] if any(i==answer_text for i in comparative_words): continue if qas_id in filtered_id: continue if any(question_text.lower().startswith(i) for i in Object_question_words): if max(compute_f1(answer_text, predicts['object1']), compute_f1(answer_text, predicts['object2'])) == 0.0: continue predicts_answer = make_choice_pos(predicts) for word in positive_words: if word in question_text.lower(): predicts_answer = make_choice_pos(predicts) break for word in negative_words: if word in question_text.lower(): if word not in predicts['TP in back'].lower(): predicts_answer = make_choice_neg(predicts) # print(qas_id,predicts_answer) break f1 = compute_f1(remove_punc(answer_text),remove_punc(predicts_answer)) pred_f1.append(compute_f1(remove_punc(answer_text), remove_punc(pred[qas_id]))) record[qas_id] = [f1,answer_text,predicts_answer] all_object_scores.append(f1) else: continue return all_object_scores,record,pred_f1 def read_predicted_file_comparative(predict_file,pred): question_word = ['would','will'] comparative_words = [ 'more', 'less', 'higher', 'lower', 'increase', 'decrease', 'harder', 'easier', 'increasing', 'decreasing', 'larger', 'smaller', 'better', 'worse', 'faster', 'slower', 'weaker', 'stronger', 'closer', 'farther', 'louder', 'quieter', 'correctly', 'incorrectly', 'not', 'yes', 'no', 'not' ] pairs = { 'more':'less', 'higher': 'lower', 'increase':'decrease', 'harder':'easier', 'increasing':'decreasing', 'larger':'smaller', 'better':'worse', 'faster':'slower', 'stronger':'weaker', 'closer':'farther', 'louder':'quieter', 'correctly': 'incorrectly', } filtered = [1912355095, 580926078, 2893035919, 3005625773, 4037359159, 1090395805, 1111432861, 1772822810, 1779114266, 3003444033, 1687481522, 373839753, 3209385804, 3128907286, 1746228971, 4088330372, 4227418477, 4047850835, 302402461, 603409309, 2849858743, 2050057087, 336287454, 1787516699, 184586157, 2999947384, 1202686909, 1223723965, 2335934912, 2677049981, 1182285725, 430326667, 4183507762, 1091390005, 1076054581, 3847534556, 4074158044, 955038082, 1423883267, 1626887498, 184177891, 1586058524, 156980418, 1607423284, 1608996147, 3071497657, 3865282641, 1588430868, 3876948090, 3344467660, 3346695902, 3600844723, 3227879116, 3484256179, 2934519278, 3876075109, 2041918832, 1115960569, 1108882681, 2013214064, 3895408229, 2975020526, 3885579536, 356328641, 985605428, 809437101, 494407430, 3999682891, 1562329124, 1505378340, 2022868633, 2022147737, 1729594789, 1730315685, 1082622173, 1205043665, 1081901277, 1204322769] filtered_id = [str(i) for i in filtered] cnt ={} prediction ={} f1 =[] pred_f1=[] debug={} with open(predict_file, "r", encoding="utf-8")as reader: input_data = json.load(reader) for entry in input_data["data"]: for paragraph in entry["paragraphs"]: paragraph_text = paragraph["background"] situation_text = paragraph['situation'] for qa in paragraph['qas']: candidate=[] qas_id = qa['id'] question_text = qa['question'] answer_text = qa['answers'][0]['text'] predicts = qa['predicts'] if not any(i == answer_text for i in comparative_words): continue if qas_id in filtered_id: continue # if any(question_text.lower().startswith(i) for i in question_word): # continue for key, val in pairs.items(): if key in question_text.lower() and val in question_text.lower(): candidate= [key,val] break if candidate!=[]: o1_ind = question_text.lower().find(remove_punc(predicts["object1"].lower())) o2_ind = question_text.lower().find(remove_punc(predicts["object2"].lower())) than_ind = question_text.lower().find("than") indx = [o1_ind,o2_ind,than_ind] if (o1_ind== -1 and o2_ind ==-1 ) or o1_ind==o2_ind: # print(qas_id,question_text) continue elif o1_ind!= -1 and o2_ind ==-1: if than_ind != -1: if o1_ind<than_ind: o2_ind =1000 elif o1_ind == -1 and o2_ind != -1: if than_ind != -1: if o2_ind < than_ind: o1_ind = 1000 if o1_ind < o2_ind: if int(predicts['TP_relevance']) ==0: prediction[qas_id] = [compute_f1(answer_text,candidate[0]),candidate[0],candidate,indx] f1.append(compute_f1(answer_text,candidate[0])) else: prediction[qas_id] = [compute_f1(answer_text,candidate[1]),candidate[1],candidate,indx] f1.append(compute_f1(answer_text, candidate[1])) else: if int(predicts['TP_relevance']) ==0: prediction[qas_id] = [compute_f1(answer_text,candidate[1]),candidate[1],candidate,indx] f1.append(compute_f1(answer_text, candidate[1])) else: prediction[qas_id] = [compute_f1(answer_text,candidate[0]),candidate[0],candidate,indx] f1.append(compute_f1(answer_text, candidate[0])) pred_f1.append(compute_f1(answer_text, pred[qas_id])) cnt[qas_id] = [question_text,candidate] return pred_f1,f1,prediction def make_choice_pos(predicts): if int(predicts['TP_relevance']) ==0: return predicts["object1"] else: return predicts["object2"] def make_choice_neg(predicts): if int(predicts['TP_relevance']) ==1: return predicts["object1"] else: return predicts["object2"] def remove_punc(text): ends =['.',',',"'s"] if text.endswith('.') or text.endswith(','): text = text[:-1] elif text.endswith("'s"): text = text[:-2] return text def shuffle_and_make_CV(label_path,train_path,dev_path,out_path,fold =5,thresh=2500): t1 = [] t2 = [] t3 = [] t4 = [] t5 = [] with open(label_path, "r", encoding="utf-8")as reader: input_data = json.load(reader) ignored_id=[] cnt = 0 for entry in input_data["data"]: for paragraph in entry["paragraphs"]: paragraph_text = paragraph["background"] situation_text = paragraph['situation'] for qa in paragraph['qas']: qas_id = qa['id'] ignored_id.append(qas_id) all_examples_except_label={} label_data =[] with open(train_path, "r", encoding="utf-8")as reader: input_data = json.load(reader) for entry in input_data["data"]: for paragraph in entry["paragraphs"]: paragraph_text = paragraph["background"] is_label = False for qa in paragraph['qas']: qas_id = qa['id'] if qas_id in ignored_id: is_label = True else: cnt +=1 if not is_label: try: all_examples_except_label[paragraph_text].append(paragraph) except: all_examples_except_label[paragraph_text]=[paragraph] else: label_data.append(paragraph) with open(dev_path, "r", encoding="utf-8")as reader: input_data = json.load(reader) for entry in input_data["data"]: for paragraph in entry["paragraphs"]: is_label = False for qa in paragraph['qas']: qas_id = qa['id'] if qas_id in ignored_id: is_label = True else: cnt += 1 if not is_label: try: all_examples_except_label[paragraph_text].append(paragraph) except: all_examples_except_label[paragraph_text]=[paragraph] l = list(all_examples_except_label.items()) random.shuffle(l) all_examples_except_label = dict(l) current=[] no_q = [] current_len=0 splitted= [] total = 0 for val in all_examples_except_label.values(): for sit in val: current.append(sit) current_len +=len(sit['qas']) total+=len(sit['qas']) if current_len>=thresh and len(splitted)<fold-1: splitted.append(current) no_q.append(current_len) current_len =0 current = [] if len(splitted) == fold - 1: current.append(sit) current_len+=len(sit['qas']) no_q.append(current_len) splitted.append(current) print(total,cnt,no_q) next = input("ok?") if next !="y": pass else: for ind,split in enumerate(splitted): out_path_split =os.path.join(out_path,'split_'+str(ind)+'.json') writer = open(out_path_split,'w+',encoding='utf-8') out = { "version": "1.0", "data": [ { "title": "ropes", "paragraphs": split, }] } writer.write(json.dumps(out,indent=4)) writer.close() setting1 = label_data+splitted[0]+splitted[1]+splitted[2] setting2 = label_data+splitted[0]+splitted[1]+splitted[4] setting3 = label_data+splitted[0]+splitted[3]+splitted[4] setting4 = label_data+splitted[2]+splitted[3]+splitted[4] setting5 = label_data+splitted[1]+splitted[2]+splitted[3] settings = { '123':setting1, '125':setting2, '145':setting3, '345':setting4, '234':setting5 } for key,val in settings.items(): out_path_split = os.path.join(out_path, 'combine_' + str(key) + '.json') writer = open(out_path_split,'w+',encoding='utf-8') out = { "version": "1.0", "data": [ { "title": "ropes", "paragraphs": val, }] } writer.write(json.dumps(out,indent=4)) writer.close() return thresh,all_examples_except_label,label_data def assign_new_value_for_shuffled(shuffled_path,train_path,dev_path,out_path): all_examples = {} with open(train_path, "r", encoding="utf-8")as reader: input_data = json.load(reader) for entry in input_data["data"]: for paragraph in entry["paragraphs"]: for qa in paragraph['qas']: qas_id = qa['id'] all_examples[qas_id] = qa with open(dev_path, "r", encoding="utf-8")as reader: input_data = json.load(reader) for entry in input_data["data"]: for paragraph in entry["paragraphs"]: for qa in paragraph['qas']: qas_id = qa['id'] all_examples[qas_id] = qa settings = ['123','125','145', '345', '234'] for idx,combine in enumerate(settings): out_path_split = os.path.join(out_path, 'split_' + str(idx) + '.json') writer = open(out_path_split, 'w+', encoding='utf-8') with open(os.path.join(shuffled_path,'split_' + str(idx) + '.json'), "r", encoding="utf-8")as reader: input_data = json.load(reader) for entry in input_data["data"]: for paragraph in entry["paragraphs"]: for qa in paragraph['qas']: qas_id = qa['id'] qa["synthetic_text"] = all_examples[qas_id]["synthetic_text"] qa["predicts"] = all_examples[qas_id]["predicts"] writer.write(json.dumps(input_data,indent=4)) writer.close() combine_path = os.path.join(out_path, 'combine_' + str(combine) + '.json') writer = open(combine_path, 'w+', encoding='utf-8') with open(os.path.join(shuffled_path,'combine_' + str(combine) + '.json'), "r", encoding="utf-8")as reader: input_data = json.load(reader) for entry in input_data["data"]: for paragraph in entry["paragraphs"]: for qa in paragraph['qas']: qas_id = qa['id'] qa["synthetic_text"] = all_examples[qas_id]["synthetic_text"] qa["predicts"] = all_examples[qas_id]["predicts"] writer.write(json.dumps(input_data,indent=4)) writer.close() return None def read_predicted_file_nn(predict_file,pred): Object_question_words ={"which",'in which','whose','who','what','for which','on which'} comparative_words =[ 'more', 'less', 'higher', 'lower', 'increase', 'decrease', 'high', 'low', 'harder', 'easier', 'increasing', 'decreasing', 'up', 'down', 'larger', 'smaller','better','worse','faster','slower','weaker','stronger','closer','farther','louder','quieter','correctly','incorrectly','not','yes','no','not' ] positive_words = ['more', 'higher', 'increase', 'high', 'harder', 'increasing', 'up', 'larger', 'better', 'faster', 'stronger', 'closer', 'louder', 'correctly'] negative_words = ['less', 'lower', 'decrease', 'low', 'easier', 'decreasing', 'down', 'smaller', 'worse', 'slower', 'weaker', 'farther', 'quieter', 'incorrectly','fewer','not','avoid'] all_object_scores = [] record={} pred_f1 =[] with open(predict_file, "r", encoding="utf-8")as reader: input_data = json.load(reader) for entry in input_data["data"]: for paragraph in entry["paragraphs"]: paragraph_text = paragraph["background"] situation_text = paragraph['situation'] for qa in paragraph['qas']: qas_id = qa['id'] question_text =qa['question'] answer_text = qa['answers'][0]['text'] predicts = qa['predicts'] if any(i==answer_text for i in comparative_words): continue if any(question_text.lower().startswith(i) for i in Object_question_words): # if max(compute_f1(answer_text, predicts['object1']), # compute_f1(answer_text, predicts['object2'])) == 0.0: # continue predicts_answer = pred[qas_id] # f1 = compute_f1(remove_punc(answer_text),remove_punc(predicts_answer)) pred_f1.append(compute_f1(remove_punc(answer_text), remove_punc(pred[qas_id]))) # record[qas_id] = [f1,answer_text,predicts_answer] # all_object_scores.append(f1) else: continue return all_object_scores,record,pred_f1 def read_predicted_file_comparative_nn(predict_file,pred): question_word = ['would','will'] comparative_words = [ 'more', 'less', 'higher', 'lower', 'increase', 'decrease', 'harder', 'easier', 'increasing', 'decreasing', 'larger', 'smaller', 'better', 'worse', 'faster', 'slower', 'weaker', 'stronger', 'closer', 'farther', 'louder', 'quieter', 'correctly', 'incorrectly', 'not', 'yes', 'no', 'not' ] pairs = { 'more':'less', 'higher': 'lower', 'increase':'decrease', 'harder':'easier', 'increasing':'decreasing', 'larger':'smaller', 'better':'worse', 'faster':'slower', 'stronger':'weaker', 'closer':'farther', 'louder':'quieter', 'correctly': 'incorrectly', } cnt ={} prediction ={} f1 =[] pred_f1=[] debug={} with open(predict_file, "r", encoding="utf-8")as reader: input_data = json.load(reader) for entry in input_data["data"]: for paragraph in entry["paragraphs"]: paragraph_text = paragraph["background"] situation_text = paragraph['situation'] for qa in paragraph['qas']: candidate=[] qas_id = qa['id'] question_text = qa['question'] answer_text = qa['answers'][0]['text'] predicts = qa['predicts'] if not any(i == answer_text for i in comparative_words): continue # if any(question_text.lower().startswith(i) for i in question_word): # continue for key, val in pairs.items(): if key in question_text.lower() and val in question_text.lower(): candidate= [key,val] break if candidate!=[]: pred_f1.append(compute_f1(answer_text, pred[qas_id])) return pred_f1 def get_id(data1,data2): all_examples = [] ids =[] with open(data1, "r", encoding="utf-8")as reader: input_data = json.load(reader) for entry in input_data["data"]: for paragraph in entry["paragraphs"]: for qa in paragraph['qas']: qas_id = qa['id'] all_examples.append(qas_id) with open(data2, "r", encoding="utf-8")as reader: input_data = json.load(reader) for entry in input_data["data"]: for paragraph in entry["paragraphs"]: for qa in paragraph['qas']: qas_id = qa['id'] if qas_id not in all_examples: ids.append(qas_id) return ids

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7

b5f04412da9486a3f651cbb3c6ac26ea097c0302

169

py

Python

tests/parser/duplicates.4.test.py

veltri/DLV2

944aaef803aa75e7ec51d7e0c2b0d964687fdd0e

[ "Apache-2.0" ]

null

tests/parser/duplicates.4.test.py

veltri/DLV2

944aaef803aa75e7ec51d7e0c2b0d964687fdd0e

[ "Apache-2.0" ]

null

tests/parser/duplicates.4.test.py

veltri/DLV2

944aaef803aa75e7ec51d7e0c2b0d964687fdd0e

[ "Apache-2.0" ]

null

input = """ b :- not a, not x. a :- not b, not y. x :- not b. y :- not a. """ output = """ b :- not a, not x. a :- not b, not y. x :- not b. y :- not a. """

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bd34e575548a8ced9c68e697f5b054a0bf14f6e3

95

py

Python

6.swap.py

A-Little-Hat/Python-Basics

f7e5177ecedbda990c157e4cb9977b254e551a21

[ "MIT" ]

null

6.swap.py

A-Little-Hat/Python-Basics

f7e5177ecedbda990c157e4cb9977b254e551a21

[ "MIT" ]

1

2021-04-24T07:46:27.000Z

6.swap.py

A-Little-Hat/Python-Basics

f7e5177ecedbda990c157e4cb9977b254e551a21

[ "MIT" ]

1

2021-05-20T19:03:14.000Z

a=10 b=20 print('a = {0} b = {1}'.format(a,b)) (a,b)=(b,a) print('a = {0} b = {1}'.format(a,b))

19

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1fb98c0bf57e7fedc1fd3f45d22e70c3cad85f60

4,068

py

Python

tests/grammpy_test/oldapi_tests/rules_tests/grammarManipulation_tests/InvalidAddTest.py

PatrikValkovic/grammpy

8308a1fd349bf9ea0d267360cc9a4ab20d1629e8

[ "MIT" ]

1

2021-02-04T12:41:08.000Z

tests/grammpy_test/oldapi_tests/rules_tests/grammarManipulation_tests/InvalidAddTest.py

PatrikValkovic/grammpy

8308a1fd349bf9ea0d267360cc9a4ab20d1629e8

[ "MIT" ]

3

2017-07-08T16:28:52.000Z

2020-04-23T18:06:24.000Z

tests/grammpy_test/oldapi_tests/rules_tests/grammarManipulation_tests/InvalidAddTest.py

PatrikValkovic/grammpy

8308a1fd349bf9ea0d267360cc9a4ab20d1629e8

[ "MIT" ]

1

2021-02-04T12:41:10.000Z

#!/usr/bin/env python """ :Author Patrik Valkovic :Created 03.08.2017 12:32 :Licence MIT Part of grammpy """ from unittest import TestCase, main from grammpy.exceptions import RuleSyntaxException, NotRuleException from grammpy.old_api import Rule as _R, Grammar, Nonterminal from ..grammar import * class InvalidAddTest(TestCase): def __init__(self, *args): super().__init__(*args) self.g = Grammar() def setUp(self): g = Grammar() g.add_term([0, 1, 2, 'a', 'b', 'c']) g.add_nonterm([NFirst, NSecond, NThird, NFourth]) self.g = g def test_invalidSelf(self): class Tmp(_R): def validate(*args): raise RuleSyntaxException(None, None) self.assertEqual(self.g.rules_count(), 0) with self.assertRaises(RuleSyntaxException): self.g.have_rule(Tmp) with self.assertRaises(RuleSyntaxException): self.g.get_rule(Tmp) with self.assertRaises(RuleSyntaxException): self.g.rule(Tmp) with self.assertRaises(RuleSyntaxException): self.g.add_rule(Tmp) self.assertEqual(self.g.rules_count(), 0) with self.assertRaises(RuleSyntaxException): self.g.have_rule(Tmp) with self.assertRaises(RuleSyntaxException): self.g.get_rule(Tmp) with self.assertRaises(RuleSyntaxException): self.g.rule(Tmp) def test_invalidFirstInArray(self): class Tmp(_R): def validate(*args): raise RuleSyntaxException(None, None) class Valid(_R): rule = ([NFirst], ['a', 0]) self.assertEqual(self.g.rules_count(), 0) with self.assertRaises(RuleSyntaxException): self.g.have_rule(Tmp) with self.assertRaises(RuleSyntaxException): self.g.get_rule(Tmp) with self.assertRaises(RuleSyntaxException): self.g.rule(Tmp) with self.assertRaises(RuleSyntaxException): self.g.add_rule([Tmp, Valid]) self.assertEqual(self.g.rules_count(), 0) with self.assertRaises(RuleSyntaxException): self.g.have_rule(Tmp) with self.assertRaises(RuleSyntaxException): self.g.get_rule(Tmp) with self.assertRaises(RuleSyntaxException): self.g.rule(Tmp) self.assertFalse(self.g.have_rule(Valid)) self.assertIsNone(self.g.get_rule(Valid)) self.assertIsNone(self.g.rule(Valid)) def test_invalidSecondInArray(self): class Tmp(_R): def validate(*args): raise RuleSyntaxException(None, None) class Valid(_R): rule = ([NFirst], ['a', 0]) self.assertEqual(self.g.rules_count(), 0) with self.assertRaises(RuleSyntaxException): self.g.have_rule(Tmp) with self.assertRaises(RuleSyntaxException): self.g.get_rule(Tmp) with self.assertRaises(RuleSyntaxException): self.g.rule(Tmp) with self.assertRaises(RuleSyntaxException): self.g.add_rule([Valid, Tmp]) self.assertEqual(self.g.rules_count(), 0) with self.assertRaises(RuleSyntaxException): self.g.have_rule(Tmp) with self.assertRaises(RuleSyntaxException): self.g.get_rule(Tmp) with self.assertRaises(RuleSyntaxException): self.g.rule(Tmp) self.assertFalse(self.g.have_rule(Valid)) self.assertIsNone(self.g.get_rule(Valid)) self.assertIsNone(self.g.rule(Valid)) def test_addNonRule(self): with self.assertRaises(NotRuleException): self.g.add_rule('asdf') with self.assertRaises(NotRuleException): self.g.add_rule(0) class Tmp: pass with self.assertRaises(NotRuleException): self.g.add_rule(Tmp) class PseudoNon(Nonterminal): pass with self.assertRaises(NotRuleException): self.g.add_rule(PseudoNon) if __name__ == '__main__': main()

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4,068

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1

0

1

0

null

0

8

20fa0a2ebf0368cd7b85ceac90f407c2ce8a14f1

11,175

py

Python

tests/test_lightrdf.py

ozekik/lightrdf

8b6ef46f90393429bd5c6daae795bebd0d2dba1c

[ "Apache-2.0" ]

12

2020-03-20T20:25:50.000Z

2022-03-16T02:26:41.000Z

tests/test_lightrdf.py

ozekik/lightrdf

8b6ef46f90393429bd5c6daae795bebd0d2dba1c

[ "Apache-2.0" ]

6

2020-10-21T08:31:24.000Z

2021-12-25T13:40:11.000Z

tests/test_lightrdf.py

ozekik/lightrdf

8b6ef46f90393429bd5c6daae795bebd0d2dba1c

[ "Apache-2.0" ]

null

import io import os from pathlib import Path import lightrdf import pytest current_dir = os.path.abspath(os.path.dirname(__file__)) # fmt: off testcases = [ ("fao.nt", [ ('http://purl.obolibrary.org/obo/FAO_0002011', 'http://www.w3.org/1999/02/22-rdf-syntax-ns#type', 'http://www.w3.org/2002/07/owl#Class'), ('http://purl.obolibrary.org/obo/FAO_0002011', 'http://www.w3.org/2000/01/rdf-schema#subClassOf', 'http://purl.obolibrary.org/obo/FAO_0001001'), ('http://purl.obolibrary.org/obo/FAO_0002011', 'http://purl.obolibrary.org/obo/IAO_0000115', '"A hypha that emerges from a yeast-form cell upon stimulation by the pheromone of a compatible mating partner. An example is observed in Cryptococcus species."'), ('http://purl.obolibrary.org/obo/FAO_0002011', 'http://www.geneontology.org/formats/oboInOwl#created_by', '"midori"'), ('http://purl.obolibrary.org/obo/FAO_0002011', 'http://www.geneontology.org/formats/oboInOwl#creation_date', '"2020-01-23T16:29:54Z"'), ('http://purl.obolibrary.org/obo/FAO_0002011', 'http://www.geneontology.org/formats/oboInOwl#hasOBONamespace', '"fungal_anatomy_ontology"'), ('http://purl.obolibrary.org/obo/FAO_0002011', 'http://www.geneontology.org/formats/oboInOwl#id', '"FAO:0002011"'), ('http://purl.obolibrary.org/obo/FAO_0002011', 'http://www.w3.org/2000/01/rdf-schema#label', '"mating filament"'), ('Bf2541d9418081488bf51b62519d99390', 'http://www.w3.org/1999/02/22-rdf-syntax-ns#type', 'http://www.w3.org/2002/07/owl#Axiom'), ('Bf2541d9418081488bf51b62519d99390', 'http://www.w3.org/2002/07/owl#annotatedSource', 'http://purl.obolibrary.org/obo/FAO_0002011'), ('Bf2541d9418081488bf51b62519d99390', 'http://www.w3.org/2002/07/owl#annotatedProperty', 'http://purl.obolibrary.org/obo/IAO_0000115'), ('Bf2541d9418081488bf51b62519d99390', 'http://www.w3.org/2002/07/owl#annotatedTarget', '"A hypha that emerges from a yeast-form cell upon stimulation by the pheromone of a compatible mating partner. An example is observed in Cryptococcus species."'), ('Bf2541d9418081488bf51b62519d99390', 'http://www.geneontology.org/formats/oboInOwl#hasDbXref', '"FAO:doi"'), ('http://purl.obolibrary.org/obo/NCBITaxon_4751', 'http://www.w3.org/1999/02/22-rdf-syntax-ns#type', 'http://www.w3.org/2002/07/owl#Class'), ]), ("fao.ttl", [ ('http://purl.obolibrary.org/obo/FAO_0002011', 'http://www.w3.org/2000/01/rdf-schema#label', '"mating filament"^^<http://www.w3.org/2001/XMLSchema#string>'), ('http://purl.obolibrary.org/obo/FAO_0002011', 'http://www.geneontology.org/formats/oboInOwl#id', '"FAO:0002011"^^<http://www.w3.org/2001/XMLSchema#string>'), ('http://purl.obolibrary.org/obo/FAO_0002011', 'http://www.geneontology.org/formats/oboInOwl#hasOBONamespace', '"fungal_anatomy_ontology"^^<http://www.w3.org/2001/XMLSchema#string>'), ('http://purl.obolibrary.org/obo/FAO_0002011', 'http://www.geneontology.org/formats/oboInOwl#creation_date', '"2020-01-23T16:29:54Z"^^<http://www.w3.org/2001/XMLSchema#string>'), ('http://purl.obolibrary.org/obo/FAO_0002011', 'http://www.geneontology.org/formats/oboInOwl#created_by', '"midori"^^<http://www.w3.org/2001/XMLSchema#string>'), ('http://purl.obolibrary.org/obo/FAO_0002011', 'http://purl.obolibrary.org/obo/IAO_0000115', '"A hypha that emerges from a yeast-form cell upon stimulation by the pheromone of a compatible mating partner. An example is observed in Cryptococcus species."^^<http://www.w3.org/2001/XMLSchema#string>'), ('http://purl.obolibrary.org/obo/FAO_0002011', 'http://www.w3.org/2000/01/rdf-schema#subClassOf', 'http://purl.obolibrary.org/obo/FAO_0001001'), ('http://purl.obolibrary.org/obo/FAO_0002011', 'http://www.w3.org/1999/02/22-rdf-syntax-ns#type', 'http://www.w3.org/2002/07/owl#Class'), ('riog00000173', 'http://www.geneontology.org/formats/oboInOwl#hasDbXref', '"FAO:doi"^^<http://www.w3.org/2001/XMLSchema#string>'), ('riog00000173', 'http://www.w3.org/2002/07/owl#annotatedTarget', '"A hypha that emerges from a yeast-form cell upon stimulation by the pheromone of a compatible mating partner. An example is observed in Cryptococcus species."^^<http://www.w3.org/2001/XMLSchema#string>'), ('riog00000173', 'http://www.w3.org/2002/07/owl#annotatedProperty', 'http://purl.obolibrary.org/obo/IAO_0000115'), ('riog00000173', 'http://www.w3.org/2002/07/owl#annotatedSource', 'http://purl.obolibrary.org/obo/FAO_0002011'), ('riog00000173', 'http://www.w3.org/1999/02/22-rdf-syntax-ns#type', 'http://www.w3.org/2002/07/owl#Axiom'), ('http://purl.obolibrary.org/obo/NCBITaxon_4751', 'http://www.w3.org/1999/02/22-rdf-syntax-ns#type', 'http://www.w3.org/2002/07/owl#Class'), ]), ("fao.owl", [ ('http://purl.obolibrary.org/obo/FAO_0002011', 'http://www.w3.org/1999/02/22-rdf-syntax-ns#type', 'http://www.w3.org/2002/07/owl#Class'), ('http://purl.obolibrary.org/obo/FAO_0002011', 'http://www.w3.org/2000/01/rdf-schema#subClassOf', 'http://purl.obolibrary.org/obo/FAO_0001001'), ('http://purl.obolibrary.org/obo/FAO_0002011', 'http://purl.obolibrary.org/obo/IAO_0000115', '"A hypha that emerges from a yeast-form cell upon stimulation by the pheromone of a compatible mating partner. An example is observed in Cryptococcus species."^^<http://www.w3.org/2001/XMLSchema#string>'), ('http://purl.obolibrary.org/obo/FAO_0002011', 'http://www.geneontology.org/formats/oboInOwl#created_by', '"midori"^^<http://www.w3.org/2001/XMLSchema#string>'), ('http://purl.obolibrary.org/obo/FAO_0002011', 'http://www.geneontology.org/formats/oboInOwl#creation_date', '"2020-01-23T16:29:54Z"^^<http://www.w3.org/2001/XMLSchema#string>'), ('http://purl.obolibrary.org/obo/FAO_0002011', 'http://www.geneontology.org/formats/oboInOwl#hasOBONamespace', '"fungal_anatomy_ontology"^^<http://www.w3.org/2001/XMLSchema#string>'), ('http://purl.obolibrary.org/obo/FAO_0002011', 'http://www.geneontology.org/formats/oboInOwl#id', '"FAO:0002011"^^<http://www.w3.org/2001/XMLSchema#string>'), ('http://purl.obolibrary.org/obo/FAO_0002011', 'http://www.w3.org/2000/01/rdf-schema#label', '"mating filament"^^<http://www.w3.org/2001/XMLSchema#string>'), ('riog00000314', 'http://www.w3.org/1999/02/22-rdf-syntax-ns#type', 'http://www.w3.org/2002/07/owl#Axiom'), ('riog00000314', 'http://www.w3.org/2002/07/owl#annotatedSource', 'http://purl.obolibrary.org/obo/FAO_0002011'), ('riog00000314', 'http://www.w3.org/2002/07/owl#annotatedProperty', 'http://purl.obolibrary.org/obo/IAO_0000115'), ('riog00000314', 'http://www.w3.org/2002/07/owl#annotatedTarget', '"A hypha that emerges from a yeast-form cell upon stimulation by the pheromone of a compatible mating partner. An example is observed in Cryptococcus species."^^<http://www.w3.org/2001/XMLSchema#string>'), ('riog00000314', 'http://www.geneontology.org/formats/oboInOwl#hasDbXref', '"FAO:doi"^^<http://www.w3.org/2001/XMLSchema#string>'), ('http://purl.obolibrary.org/obo/NCBITaxon_4751', 'http://www.w3.org/1999/02/22-rdf-syntax-ns#type', 'http://www.w3.org/2002/07/owl#Class'), ]), ] # fmt: on # fmt: off testcases_pattern = [ ("fao.nt", [ ('http://purl.obolibrary.org/obo/FAO_0002011', 'http://www.w3.org/2000/01/rdf-schema#subClassOf', 'http://purl.obolibrary.org/obo/FAO_0001001'), ]), ("fao.ttl", [ ('http://purl.obolibrary.org/obo/FAO_0002011', 'http://www.w3.org/2000/01/rdf-schema#subClassOf', 'http://purl.obolibrary.org/obo/FAO_0001001'), ]), ("fao.owl", [ ('http://purl.obolibrary.org/obo/FAO_0002011', 'http://www.w3.org/2000/01/rdf-schema#subClassOf', 'http://purl.obolibrary.org/obo/FAO_0001001'), ]), ] # fmt: on @pytest.mark.parametrize("filename,expected", testcases) def test_parser_from_filename(filename, expected): path = os.path.join(current_dir, filename) parser = lightrdf.Parser() triples = [] for triple in parser.parse(path): triples.append(triple) assert len(triples) == 1840 and triples[-len(expected) :] == expected @pytest.mark.parametrize("filename,expected", testcases) def test_parser(filename, expected): path = Path(os.path.join(current_dir, filename)) with open(path, "rb") as f: file = io.BytesIO(f.read()) parser = lightrdf.Parser() triples = [] for triple in parser.parse(file, format=path.suffix.lstrip(".")): triples.append(triple) assert len(triples) == 1840 and triples[-len(expected) :] == expected @pytest.mark.parametrize("filename,expected", testcases_pattern) def test_pattern_parser_from_filename(filename, expected): path = os.path.join(current_dir, filename) parser = lightrdf.PatternParser( ( "http://purl.obolibrary.org/obo/FAO_0002011", "http://www.w3.org/2000/01/rdf-schema#subClassOf", None, ) ) triples = [] for triple in parser.parse(path): triples.append(triple) assert triples == expected @pytest.mark.parametrize("filename,expected", testcases_pattern) def test_pattern_parser(filename, expected): path = Path(os.path.join(current_dir, filename)) with open(path, "rb") as f: file = io.BytesIO(f.read()) parser = lightrdf.PatternParser( ( "http://purl.obolibrary.org/obo/FAO_0002011", "http://www.w3.org/2000/01/rdf-schema#subClassOf", None, ) ) triples = [] for triple in parser.parse(file, format=path.suffix.lstrip(".")): triples.append(triple) assert triples == expected @pytest.mark.parametrize("filename,expected", testcases_pattern) def test_rdf_document_from_filename(filename, expected): path = os.path.join(current_dir, filename) doc = lightrdf.RDFDocument(path) triples = [] pattern = ( "http://purl.obolibrary.org/obo/FAO_0002011", "http://www.w3.org/2000/01/rdf-schema#subClassOf", None, ) for triple in doc.search_triples(*pattern): triples.append(triple) # Repeat for triple in doc.search_triples(*pattern): triples.append(triple) assert triples == expected * 2 @pytest.mark.parametrize("filename,expected", testcases_pattern) def test_rdf_document(filename, expected): path = Path(os.path.join(current_dir, filename)) with open(path, "rb") as f: file = io.BytesIO(f.read()) if path.suffix == ".nt": parser = lightrdf.nt.PatternParser elif path.suffix == ".ttl": parser = lightrdf.turtle.PatternParser elif path.suffix == ".owl": parser = lightrdf.xml.PatternParser doc = lightrdf.RDFDocument(file, parser=parser) triples = [] pattern = ( "http://purl.obolibrary.org/obo/FAO_0002011", "http://www.w3.org/2000/01/rdf-schema#subClassOf", None, ) for triple in doc.search_triples(*pattern): triples.append(triple) # Repeat for triple in doc.search_triples(*pattern): triples.append(triple) assert triples == expected * 2

63.494318

307

0.682416

1,520

11,175

4.953289

0.092763

0.066011

0.066941

0.089255

0.947005

0.941028

0.921504

0.911941

0

0.102345

0.130022

11,175

175

308

63.857143

0.672084

0.004206

0

0.653595

0

0.111111

0.629799

0.019063

0

0.039216

1

0.039216

false

0

0.03268

0

0.071895

0

null

0

1

0

1

0

null

0

7

1f172da9343f011ec6b8fc173dd2a55bbae76eb4

6,933

py

Python

src/schnarc/metrics.py

smausenberger/SchNarc

727dedf300aa79c01217822c3a9a4f4ae96ede60

[ "MIT" ]

7

2020-05-07T19:45:17.000Z

2021-05-13T22:22:18.000Z

src/schnarc/metrics.py

smausenberger/SchNarc

727dedf300aa79c01217822c3a9a4f4ae96ede60

[ "MIT" ]

1

2022-03-25T10:39:16.000Z

src/schnarc/metrics.py

smausenberger/SchNarc

727dedf300aa79c01217822c3a9a4f4ae96ede60

[ "MIT" ]

4

2020-08-13T19:57:06.000Z

2022-03-25T10:37:04.000Z

import torch import numpy as np import schnetpack as spk class MeanSquaredError(spk.metrics.MeanSquaredError): def __init__(self, target, model_output=None, bias_correction=None, name=None, element_wise=False): name = 'MSE_' + target if name is None else name super(MeanSquaredError, self).__init__(target, model_output=model_output, bias_correction=bias_correction, name=name, element_wise=element_wise) def _get_diff(self, y, yp): diff = y - yp diff = (torch.abs(diff)) if self.bias_correction is not None: diff += self.bias_correction return diff class RootMeanSquaredError(MeanSquaredError): def __init__(self, target, model_output=None, bias_correction=None, name=None, element_wise=False): name = 'RMSE_' + target if name is None else name super(RootMeanSquaredError, self).__init__(target, model_output, bias_correction, name, element_wise=element_wise) def aggregate(self): return np.sqrt(self.l2loss / self.n_entries) class MeanAbsoluteError(spk.metrics.MeanAbsoluteError): def __init__(self, target, model_output=None, bias_correction=None, name=None, element_wise=False): name = 'MAE_' + target if name is None else name super(MeanAbsoluteError, self).__init__(target, model_output=model_output, bias_correction=bias_correction, name=name, element_wise=element_wise) def _get_diff(self, y, yp): diff = y - yp diff = (torch.abs(diff)) if self.bias_correction is not None: diff += self.bias_correction return diff class PhaseMeanSquaredError(spk.metrics.MeanSquaredError): def __init__(self, target, model_output=None, bias_correction=None, name=None, element_wise=False): name = 'PhMSE_' + target if name is None else name super(PhaseMeanSquaredError, self).__init__(target, model_output=model_output, bias_correction=bias_correction, name=name, element_wise=element_wise) def _get_diff(self, y, yp): diff_a = torch.abs(y - yp) diff_b = torch.abs(y + yp) diff = torch.min(diff_a, diff_b) if self.bias_correction is not None: diff += self.bias_correction return diff class PhaseRootMeanSquaredError(PhaseMeanSquaredError): def __init__(self, target, model_output=None, bias_correction=None, name=None, element_wise=False): name = 'PhRMSE_' + target if name is None else name super(PhaseRootMeanSquaredError, self).__init__(target, model_output, bias_correction, name, element_wise=element_wise) def aggregate(self): return np.sqrt(self.l2loss / self.n_entries) class PhaseMeanAbsoluteError(spk.metrics.MeanAbsoluteError): def __init__(self, target, model_output=None, bias_correction=None, name=None, element_wise=False): name = 'PhMAE_' + target if name is None else name super(PhaseMeanAbsoluteError, self).__init__(target, model_output=model_output, bias_correction=bias_correction, name=name, element_wise=element_wise) def _get_diff(self, y, yp): diff_a = torch.abs(y - yp) diff_b = torch.abs(y + yp) diff = torch.min(diff_a, diff_b) if self.bias_correction is not None: diff += self.bias_correction return diff class PhaseRootMeanSquaredError_vec(PhaseMeanSquaredError): def __init__(self, target, model_output=None, bias_correction=None, name=None, element_wise=False): name = 'PhRMSE_' + target if name is None else name super(PhaseRootMeanSquaredError_vec, self).__init__(target, model_output, bias_correction, name, element_wise=element_wise) def aggregate(self): return np.sqrt(self.l2loss / self.n_entries) class PhaseMeanAbsoluteError_vec(spk.metrics.MeanAbsoluteError): def __init__(self, target, model_output=None, bias_correction=None, name=None, element_wise=False): name = 'PhMAE_' + target if name is None else name super(PhaseMeanAbsoluteError_vec, self).__init__(target, model_output=model_output, bias_correction=bias_correction, name=name, element_wise=element_wise) def _get_diff(self, y, yp): #assume that each state combination was found successfully diff = 0. for batch_sample in range(y.shape[0]): for istate_combi in range(y.shape[1]): diff_a = (y[batch_sample,istate_combi,:,:] - yp[batch_sample,istate_combi,:,:] ) diff_b = (y[batch_sample,istate_combi,:,:] + yp[batch_sample,istate_combi,:,:] ) mean_a = torch.mean(torch.abs(diff_a)) mean_b = torch.mean(torch.abs(diff_b)) if mean_a <= mean_b: diff += diff_a else: diff += diff_b if self.bias_correction is not None: diff += self.bias_correction diff = diff/(y.shape[0]*y.shape[1]) return diff class PhaseMeanSquaredError_vec(spk.metrics.MeanSquaredError): def __init__(self, target, model_output=None, bias_correction=None, name=None, element_wise=False): name = 'PhMSE_' + target if name is None else name super(PhaseMeanSquaredError_vec, self).__init__(target, model_output=model_output, bias_correction=bias_correction, name=name, element_wise=element_wise) def _get_diff(self, y, yp): #assume that each state combination was found successfully diff = 0. for batch_sample in range(y.shape[0]): for istate_combi in range(y.shape[1]): diff_a = (y[batch_sample,istate_combi,:,:] - yp[batch_sample,istate_combi,:,:] ) diff_b = (y[batch_sample,istate_combi,:,:] + yp[batch_sample,istate_combi,:,:] ) mean_a = torch.mean((diff_a)**2) mean_b = torch.mean((diff_b)**2) if mean_a <= mean_b: diff += diff_a**(1/2) else: diff += diff_b**(1/2) if self.bias_correction is not None: diff += self.bias_correction diff = (diff/(y.shape[0]*y.shape[1]))**2 return diff

43.062112

124

0.596711

801

6,933

4.868914

0.092385

0.129231

0.078462

0.039231

0.922308

0.913846

0.913077

0.878462

0

0.004207

0.314294

6,933

160

125

43.33125

0.816155

0.016443

0

0.725806

0

0.007481

0

1

0.145161

false

0

0.024194

0.314516

0

null

0

1

0

1

0

null

0

7

1f73672194cd876fb600d1bb760372b809376bfd

219

py

Python

cedar/tests/conftest.py

ceholden/cedar-datacube

d9463a28ce52665faaed069481d34a5ebe60558e

[ "BSD-3-Clause" ]

12

2019-07-19T17:35:24.000Z

2021-12-29T20:22:12.000Z

cedar/tests/conftest.py

ceholden/cedar-datacube

d9463a28ce52665faaed069481d34a5ebe60558e

[ "BSD-3-Clause" ]

null

cedar/tests/conftest.py

ceholden/cedar-datacube

d9463a28ce52665faaed069481d34a5ebe60558e

[ "BSD-3-Clause" ]

2

2019-10-06T06:36:39.000Z

2020-06-15T04:07:07.000Z

import json import pytest # import vcrpy # https://vcrpy.readthedocs.io/en/latest/advanced.html#filter-sensitive-data-from-the-request # https://vcrpy.readthedocs.io/en/latest/advanced.html#automatic-cassette-naming

24.333333

93

0.799087

31

219

5.645161

0.645161

0.114286

0.24

0.262857

0.491429

0

0.063927

219

8

94

27.375

0.853659

0.826484

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

7

1f8b9de26af8f08c69ff975b2d9706bf77c93652

11,991

py

Python

src/pynn/bin/__init__.py

enesyugan/yapay-nn

b6e0740e7c1ae829abd7cd1bd447a172291538b1

[ "Apache-2.0" ]

null

src/pynn/bin/__init__.py

enesyugan/yapay-nn

b6e0740e7c1ae829abd7cd1bd447a172291538b1

[ "Apache-2.0" ]

null

src/pynn/bin/__init__.py

enesyugan/yapay-nn

b6e0740e7c1ae829abd7cd1bd447a172291538b1

[ "Apache-2.0" ]

null

# Copyright 2019 Thai-Son Nguyen # Licensed under the Apache License, Version 2.0 (the "License") from pynn.io.audio_seq import SpectroDataset from pynn.io.text_seq import TextSeqDataset, TextPairDataset from pynn.trainer.adam_s2s import train_model as train_s2s from pynn.trainer.adam_ctc import train_model as train_ctc from pynn.trainer.adam_lm import train_model as train_lm from pynn.trainer.adam_hybrid import train_model as train_hybrid from pynn.trainer.adam_s2s_kl import train_model as distill_s2s from pynn.trainer.adam_enc import train_model as train_encoder from pynn.trainer.adam_s2s_dual import train_model as train_s2s_dual from pynn.trainer.adam_hybrid_dual import train_model as train_hybrid_dual def print_model(model): model_size = sum(p.numel() for p in model.parameters()) / 1000000. print('Model size: %.2fM' % model_size) def train_s2s_model(model, args, device, n_device=1): dist, verbose = n_device > 1, device == 0 tr_data = SpectroDataset(args.train_scps, args.train_targets, downsample=args.downsample, sort_src=True, mean_sub=args.mean_sub, var_norm=args.var_norm, spec_drop=args.spec_drop, spec_bar=args.spec_bar, spec_ratio=args.spec_ratio, time_stretch=args.time_stretch, time_win=args.time_win, fp16=args.fp16, preload=args.preload, threads=2, verbose=verbose) cv_data = {} for valid_scp in args.valid_scps: cv_data[valid_scp] = SpectroDataset([valid_scp], args.valid_targets, downsample=args.downsample, sort_src=True, mean_sub=args.mean_sub, var_norm=args.var_norm, fp16=args.fp16, preload=args.preload, threads=2, verbose=verbose) if dist: tr_data.partition(device, n_device) n_print = args.n_print // n_device b_update = args.b_update // n_device cfg = {'model_path': args.model_path, 'lr': args.lr, 'grad_norm': args.grad_norm, 'weight_decay': args.weight_decay, 'weight_noise': args.weight_noise, 'label_smooth': args.label_smooth, 'teacher_force': args.teacher_force, 'n_warmup': args.n_warmup, 'n_const': args.n_const, 'n_save': args.n_save, 'n_print': n_print, 'b_input': args.b_input, 'b_sample': args.b_sample, 'b_update': b_update, 'b_sync': args.b_sync} datasets = (tr_data, cv_data) train_s2s(model, datasets, args.n_epoch, device, cfg, fp16=args.fp16, dist=dist) def train_ctc_model(model, args, device, n_device=1): dist, verbose = n_device > 1, device == 0 tr_data = SpectroDataset(args.train_scp, args.train_target, downsample=args.downsample, sort_src=True, sek=False, mean_sub=args.mean_sub, fp16=args.fp16, preload=args.preload, threads=2, verbose=verbose, spec_drop=args.spec_drop, spec_bar=args.spec_bar, spec_ratio=args.spec_ratio, time_stretch=args.time_stretch, time_win=args.time_win) cv_data = SpectroDataset(args.valid_scp, args.valid_target, downsample=args.downsample, sort_src=True, sek=False, mean_sub=args.mean_sub, fp16=args.fp16, preload=args.preload, threads=2, verbose=verbose) if dist: tr_data.partition(device, n_device) n_print = args.n_print // n_device b_update = args.b_update // n_device cfg = {'model_path': args.model_path, 'lr': args.lr, 'grad_norm': args.grad_norm, 'weight_decay': args.weight_decay, 'weight_noise': args.weight_noise, 'n_warmup': args.n_warmup, 'n_const': args.n_const, 'n_save': args.n_save, 'n_print': n_print, 'b_input': args.b_input, 'b_sample': args.b_sample, 'b_update': b_update, 'b_sync': args.b_sync} datasets = (tr_data, cv_data) train_ctc(model, datasets, args.n_epoch, device, cfg, fp16=args.fp16, dist=dist) def train_language_model(model, args, device, n_device=1): dist, verbose = n_device > 1, device == 0 tr_data = TextSeqDataset(args.train_seq, sek=not args.no_sek, threads=2, verbose=verbose) cv_data = TextSeqDataset(args.valid_seq, sek=not args.no_sek, threads=2, verbose=verbose) if dist: tr_data.partition(device, n_device) n_print = args.n_print // n_device b_update = args.b_update // n_device cfg = {'model_path': args.model_path, 'lr': args.lr, 'grad_norm': args.grad_norm, 'label_smooth': args.label_smooth, 'n_warmup': args.n_warmup, 'n_const': args.n_const,'n_save': args.n_save, 'n_print': n_print, 'b_input': args.b_input, 'b_sample': args.b_sample, 'b_update': b_update, 'b_sync': args.b_sync} datasets = (tr_data, cv_data) train_lm(model, datasets, args.n_epoch, device, cfg, fp16=args.fp16, dist=dist) def train_hybrid_model(model, args, device, n_device=1, dual_tgt=False): dist, verbose = n_device > 1, device == 0 tr_data = SpectroDataset(args.train_scp, args.train_target, downsample=args.downsample, sort_src=True, mean_sub=args.mean_sub, fp16=args.fp16, preload=args.preload, spec_drop=args.spec_drop, spec_bar=args.spec_bar, spec_ratio=args.spec_ratio, time_stretch=args.time_stretch, time_win=args.time_win, paired_label=dual_tgt, threads=2, verbose=verbose) cv_data = SpectroDataset(args.valid_scp, args.valid_target, downsample=args.downsample, sort_src=True, mean_sub=args.mean_sub, fp16=args.fp16, preload=args.preload, paired_label=dual_tgt, threads=2, verbose=verbose) if dist: tr_data.partition(device, n_device) n_print = args.n_print // n_device b_update = args.b_update // n_device cfg = {'model_path': args.model_path, 'lr': args.lr, 'grad_norm': args.grad_norm, 'weight_decay': args.weight_decay, 'weight_noise': args.weight_noise, 'alpha': args.alpha, 'label_smooth': args.label_smooth, 'teacher_force': args.teacher_force, 'n_warmup': args.n_warmup, 'n_const': args.n_const, 'n_save': args.n_save, 'n_print': n_print, 'b_input': args.b_input, 'b_sample': args.b_sample, 'b_update': b_update, 'b_sync': args.b_sync} datasets = (tr_data, cv_data) train_func = train_hybrid if not dual_tgt else train_hybrid_dual train_func(model, datasets, args.n_epoch, device, cfg, fp16=args.fp16, dist=dist) def distill_s2s_model(model, teacher, args, device, n_device=1): dist, verbose = n_device > 1, device == 0 tr_data = SpectroDataset(args.train_scp, args.train_target, downsample=args.downsample, sort_src=True, mean_sub=args.mean_sub, fp16=args.fp16, preload=args.preload, spec_drop=args.spec_drop, spec_bar=args.spec_bar, spec_ratio=args.spec_ratio, time_stretch=args.time_stretch, time_win=args.time_win, threads=2, verbose=verbose) cv_data = SpectroDataset(args.valid_scp, args.valid_target, downsample=args.downsample, sort_src=True, mean_sub=args.mean_sub, fp16=args.fp16, preload=args.preload, threads=2, verbose=verbose) if dist: tr_data.partition(device, n_device) n_print = args.n_print // n_device b_update = args.b_update // n_device cfg = {'model_path': args.model_path, 'lr': args.lr, 'grad_norm': args.grad_norm, 'weight_decay': args.weight_decay, 'weight_noise': args.weight_noise, 'label_smooth': args.label_smooth, 'teacher_force': args.teacher_force, 'n_warmup': args.n_warmup, 'n_const': args.n_const, 'n_save': args.n_save, 'n_print': n_print, 'b_input': args.b_input, 'b_sample': args.b_sample, 'b_update': b_update, 'b_sync': args.b_sync} datasets = (tr_data, cv_data) distill_s2s(model, teacher, args.alpha, datasets, args.n_epoch, device, cfg, fp16=args.fp16, dist=dist) def train_encoder_model(model, args, device, n_device=1): dist, verbose = n_device > 1, device == 0 tr_data = SpectroDataset(args.train_scp, args.train_target, downsample=args.downsample, sek=False, sort_src=True, mean_sub=args.mean_sub, fp16=args.fp16, preload=args.preload, spec_drop=args.spec_drop, spec_bar=args.spec_bar, spec_ratio=args.spec_ratio, threads=2, verbose=verbose) cv_data = SpectroDataset(args.valid_scp, args.valid_target, downsample=args.downsample, sek=False, sort_src=True, mean_sub=args.mean_sub, fp16=args.fp16, preload=args.preload, threads=2, verbose=verbose) if dist: tr_data.partition(device, n_device) n_print = args.n_print // n_device b_update = args.b_update // n_device cfg = {'model_path': args.model_path, 'lr': args.lr, 'grad_norm': args.grad_norm, 'weight_decay': args.weight_decay, 'weight_noise': args.weight_noise, 'n_warmup': args.n_warmup, 'n_const': args.n_const, 'n_save': args.n_save, 'n_print': n_print, 'b_input': args.b_input, 'b_sample': args.b_sample, 'b_update': b_update, 'b_sync': args.b_sync} datasets = (tr_data, cv_data) train_encoder(model, datasets, args.n_epoch, device, cfg, fp16=args.fp16, dist=dist) def train_text_encoder_model(model, args, device, n_device=1): dist, verbose = n_device > 1, device == 0 tr_data = TextPairDataset(args.train_data, src_sek=False, tgt_sek=False, threads=2, verbose=verbose) cv_data = TextPairDataset(args.valid_data, src_sek=False, tgt_sek=False, threads=2, verbose=verbose) if dist: tr_data.partition(device, n_device) n_print = args.n_print // n_device b_update = args.b_update // n_device cfg = {'model_path': args.model_path, 'lr': args.lr, 'grad_norm': args.grad_norm, 'weight_decay': args.weight_decay, 'weight_noise': args.weight_noise, 'n_warmup': args.n_warmup, 'n_const': args.n_const, 'n_save': args.n_save, 'n_print': n_print, 'b_input': args.b_input, 'b_sample': args.b_sample, 'b_update': b_update, 'b_sync': args.b_sync} datasets = (tr_data, cv_data) train_encoder(model, datasets, args.n_epoch, device, cfg, fp16=args.fp16, dist=dist) def train_s2s_dual_model(model, args, device, n_device=1): dist, verbose = n_device > 1, device == 0 tr_data = SpectroDataset(args.train_scp, args.train_target, downsample=args.downsample, sort_src=True, mean_sub=args.mean_sub, fp16=args.fp16, preload=args.preload, spec_drop=args.spec_drop, spec_bar=args.spec_bar, spec_ratio=args.spec_ratio, time_stretch=args.time_stretch, time_win=args.time_win, paired_label=True, threads=2, verbose=verbose) cv_data = SpectroDataset(args.valid_scp, args.valid_target, downsample=args.downsample, sort_src=True, mean_sub=args.mean_sub, fp16=args.fp16, preload=args.preload, paired_label=True, threads=2, verbose=verbose) if dist: tr_data.partition(device, n_device) n_print = args.n_print // n_device b_update = args.b_update // n_device cfg = {'model_path': args.model_path, 'lr': args.lr, 'grad_norm': args.grad_norm, 'weight_decay': args.weight_decay, 'weight_noise': args.weight_noise, 'label_smooth': args.label_smooth, 'teacher_force': args.teacher_force, 'alpha': args.alpha, 'n_warmup': args.n_warmup, 'n_const': args.n_const, 'n_save': args.n_save, 'n_print': n_print, 'b_input': args.b_input, 'b_sample': args.b_sample, 'b_update': b_update, 'b_sync': args.b_sync} datasets = (tr_data, cv_data) train_s2s_dual(model, datasets, args.n_epoch, device, cfg, fp16=args.fp16, dist=dist)

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Python

pybgfx/__init__.py

Sevistuo/https-github.com-jnadro-pybgfx

90852f6b3c4de5d2a35d143e98d19d2b6b1d91a3

[ "BSD-2-Clause" ]

72

2016-03-01T03:54:25.000Z

2022-03-28T23:19:46.000Z

pybgfx/__init__.py

Sevistuo/https-github.com-jnadro-pybgfx

90852f6b3c4de5d2a35d143e98d19d2b6b1d91a3

[ "BSD-2-Clause" ]

3

2017-03-14T22:10:11.000Z

2021-05-22T07:43:43.000Z

pybgfx/__init__.py

Sevistuo/https-github.com-jnadro-pybgfx

90852f6b3c4de5d2a35d143e98d19d2b6b1d91a3

[ "BSD-2-Clause" ]

2

2017-09-18T08:47:20.000Z

2019-10-06T12:20:55.000Z

from .bgfx import * from .bgfx_ex import * from .bgfx_utils import * from .bgfxdefines import *

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Python

tests/test_distance_matrix.py

utiasSTARS/graphIK

df5ca000485593540113dad42940680919dc4eb9

[ "MIT" ]

16

2020-12-14T17:55:17.000Z

2022-03-29T05:26:05.000Z

tests/test_distance_matrix.py

utiasSTARS/graphIK

df5ca000485593540113dad42940680919dc4eb9

[ "MIT" ]

1

2020-11-30T14:20:01.000Z

2022-01-16T17:54:48.000Z

tests/test_distance_matrix.py

utiasSTARS/graphIK

df5ca000485593540113dad42940680919dc4eb9

[ "MIT" ]

2

2021-11-20T15:04:47.000Z

2022-01-11T13:42:43.000Z

import numpy as np import unittest import networkx as nx from numpy.testing import assert_allclose from numpy import pi from graphik.graphs.graph_base import ( RobotPlanarGraph, RobotRevoluteGraph, RobotSphericalGraph, ) from graphik.robots.robot_base import RobotRevolute, RobotSpherical, RobotPlanar from graphik.utils.dgp import dist_to_gram, MDS, pos_from_graph from graphik.utils.utils import ( best_fit_transform, list_to_variable_dict, ) class TestDistanceMatrix(unittest.TestCase): def test_special_case_3d_tree(self): print("\n Testing cases with zeroed out parameters ...") modified_dh = False n = 5 parents = {"p0": ["p1"], "p1": ["p2", "p3"], "p2": ["p4"], "p3": ["p5"]} a = {"p1": 0, "p2": -0.612, "p3": -0.612, "p4": -0.5732, "p5": -0.5732} d = {"p1": 0.1237, "p2": 0, "p3": 0, "p4": 0, "p5": 0} al = {"p1": pi / 2, "p2": 0, "p3": 0, "p4": 0, "p5": 0} th = {"p1": 0, "p2": 0, "p3": 0, "p4": 0, "p5": 0} ub = list_to_variable_dict((pi) * np.ones(n)) lb = list_to_variable_dict(-(pi) * np.ones(n)) params = { "a": a, "alpha": al, "d": d, "theta": th, "lb": lb, "ub": ub, "modified_dh": modified_dh, "parents": parents, } robot = RobotRevolute(params) graph = RobotRevoluteGraph(robot) for _ in range(100): q = robot.random_configuration() D = graph.distance_matrix_from_joints(q) # Reconstruct points J = np.identity(graph.n_nodes) - (1 / (graph.n_nodes)) * np.ones(D.shape) G = -0.5 * J @ D @ J # Gram matrix u, s, vh = np.linalg.svd(G, full_matrices=True) X = ( np.concatenate( ( np.sqrt(np.diag(s[: robot.dim])), np.zeros((robot.dim, graph.n_nodes - robot.dim)), ), axis=1, ) @ vh ).T Y = pos_from_graph(graph.realization(q)) R, t = best_fit_transform(X[[0, 1, 2, 3, -1], :], Y[[0, 1, 2, 3, -1], :]) P_e = (R @ X.T + t.reshape(3, 1)).T self.assertIsNone(assert_allclose(P_e, Y, rtol=1e-5, atol=100)) pass def test_random_params_3d_chain(self): for idx in range(100): # n = np.random.randint(3, high=20) # number of joints n = 8 # Generate random DH parameters a = np.random.rand(n) d = np.random.rand(n) al = np.random.rand(n) * pi / 2 - 2 * np.random.rand(n) * pi / 2 th = 0 * np.ones(n) ub = np.ones(n) * pi - 2 * pi * np.random.rand(n) lb = -ub params = { "a": a, "alpha": al, "d": d, "theta": th, "lb": lb, "ub": ub, "modified_dh": True, } robot = RobotRevolute(params) # instantiate robot graph = RobotRevoluteGraph(robot) # instantiate graph q = robot.random_configuration() T = robot.get_pose(list_to_variable_dict(q), "p" + str(n)) D = graph.distance_matrix_from_joints(q) # Reconstruct points J = np.identity(graph.n_nodes) - (1 / (graph.n_nodes)) * np.ones(D.shape) G = -0.5 * J @ D @ J # Gram matrix u, s, vh = np.linalg.svd(G, full_matrices=True) X = ( np.concatenate( ( np.sqrt(np.diag(s[: robot.dim])), np.zeros((robot.dim, graph.n_nodes - robot.dim)), ), axis=1, ) @ vh ).T Y = pos_from_graph(graph.realization(q)) R, t = best_fit_transform(X[[0, 1, 2, 3, -1], :], Y[[0, 1, 2, 3, -1], :]) P_e = (R @ X.T + t.reshape(3, 1)).T self.assertIsNone(assert_allclose(P_e, Y, rtol=1e-5, atol=100)) def test_random_params_3d_spherical_chain(self): for idx in range(100): n = np.random.randint(3, high=20) # Generate random DH parameters a = list_to_variable_dict(0 * np.random.rand(n)) d = list_to_variable_dict(np.random.rand(n)) al = list_to_variable_dict(0 * np.random.rand(n)) th = list_to_variable_dict(0 * np.random.rand(n)) lim_u = list_to_variable_dict(pi * np.ones(n)) lim_l = list_to_variable_dict(-pi * np.ones(n)) params = { "a": a, "alpha": al, "d": d, "theta": th, "joint_limits_lower": lim_l, "joint_limits_upper": lim_u, } robot = RobotSpherical(params) # instantiate robot graph = RobotSphericalGraph(robot) # instantiate graph q = robot.random_configuration() T = robot.get_pose(q, f"p{n}") D = graph.distance_matrix_from_joints(q) # Reconstruct points J = np.identity(graph.n_nodes) - (1 / (graph.n_nodes)) * np.ones(D.shape) G = -0.5 * J @ D @ J # Gram matrix u, s, vh = np.linalg.svd(G, full_matrices=True) X = ( np.concatenate( ( np.sqrt(np.diag(s[: robot.dim])), np.zeros((robot.dim, graph.n_nodes - robot.dim)), ), axis=1, ) @ vh ).T Y = pos_from_graph(graph.realization(q)) R, t = best_fit_transform(X[[0, 1, 2, 3, -1], :], Y[[0, 1, 2, 3, -1], :]) P_e = (R @ X.T + t.reshape(3, 1)).T self.assertIsNone(assert_allclose(P_e, Y, rtol=1e-5, atol=100)) def test_random_params_3d_spherical_tree(self): # TODO include randomized theta to FK and such print("Testing randomly generated params 3d ... \n") for idx in range(100): height = np.random.randint(2, high=5) gen = nx.balanced_tree(2, height, create_using=nx.DiGraph) gen = nx.relabel_nodes(gen, {node: f"p{node}" for node in gen}) n = gen.number_of_edges() # Generate random DH parameters a = list_to_variable_dict(0 * np.random.rand(n)) d = list_to_variable_dict(np.random.rand(n)) al = list_to_variable_dict(0 * np.random.rand(n)) th = list_to_variable_dict(0 * np.random.rand(n)) parents = nx.to_dict_of_lists(gen) lim_u = list_to_variable_dict(pi * np.ones(n)) lim_l = list_to_variable_dict(-pi * np.ones(n)) params = { "a": a, "alpha": al, "d": d, "theta": th, "parents": parents, "joint_limits_lower": lim_l, "joint_limits_upper": lim_u, } robot = RobotSpherical(params) # instantiate robot graph = RobotSphericalGraph(robot) # instantiate graph q = robot.random_configuration() T = robot.get_pose(q, f"p{n}") D = graph.distance_matrix_from_joints(q) # Reconstruct points J = np.identity(graph.n_nodes) - (1 / (graph.n_nodes)) * np.ones(D.shape) G = -0.5 * J @ D @ J # Gram matrix u, s, vh = np.linalg.svd(G, full_matrices=True) X = ( np.concatenate( ( np.sqrt(np.diag(s[: robot.dim])), np.zeros((robot.dim, graph.n_nodes - robot.dim)), ), axis=1, ) @ vh ).T Y = pos_from_graph(graph.realization(q)) R, t = best_fit_transform(X[[0, 1, 2, 3, -1], :], Y[[0, 1, 2, 3, -1], :]) P_e = (R @ X.T + t.reshape(3, 1)).T self.assertIsNone(assert_allclose(P_e, Y, rtol=1e-5, atol=100)) def test_random_params_2d_chain(self): for idx in range(100): n = np.random.randint(3, high=20) a = list_to_variable_dict(np.ones(n)) th = list_to_variable_dict(np.zeros(n)) lim_u = list_to_variable_dict(pi * np.ones(n)) lim_l = list_to_variable_dict(-pi * np.ones(n)) params = { "a": a, "theta": th, "joint_limits_upper": lim_u, "joint_limits_lower": lim_l, } robot = RobotPlanar(params) graph = RobotPlanarGraph(robot) q = robot.random_configuration() D = graph.distance_matrix_from_joints(q) # Reconstruct points G = dist_to_gram(D) X = MDS(G) # X = PCA(G, 2) Y = pos_from_graph(graph.realization(q)) R, t = best_fit_transform(X[[0, 1, 2, -1], :], Y[[0, 1, 2, -1], :]) P_e = (R @ X.T + t.reshape(2, 1)).T self.assertIsNone(assert_allclose(P_e, Y, rtol=1e-5, atol=100)) def test_random_params_2d_tree(self): for idx in range(30): height = np.random.randint(2, high=5) gen = nx.balanced_tree(2, height, create_using=nx.DiGraph) gen = nx.relabel_nodes(gen, {node: f"p{node}" for node in gen}) n = gen.number_of_edges() a = list_to_variable_dict(np.ones(n)) th = list_to_variable_dict(np.zeros(n)) parents = nx.to_dict_of_lists(gen) lim_u = list_to_variable_dict(pi * np.ones(n)) lim_l = list_to_variable_dict(-pi * np.ones(n)) params = { "a": a, "theta": th, "parents": parents, "joint_limits_upper": lim_u, "joint_limits_lower": lim_l, } robot = RobotPlanar(params) graph = RobotPlanarGraph(robot) q = robot.random_configuration() D = graph.distance_matrix_from_joints(q) # Reconstruct points G = dist_to_gram(D) X = MDS(G) Y = pos_from_graph(graph.realization(q)) R, t = best_fit_transform(X[[0, 1, 2, -1], :], Y[[0, 1, 2, -1], :]) P_e = (R @ X.T + t.reshape(2, 1)).T self.assertIsNone(assert_allclose(P_e, Y, atol=1e-8)) if __name__ == "__main__": test = TestDistanceMatrix() test.test_random_params_2d_tree()

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0

null

0

1

0

1

0

null

0

7

85eb7b63797bfb8a08b4f882e605fc4f4e5d4e3f

446

py

Python

cortex/api/event_stream.py

sergioisidoro/cognisense

405d486467cbd1330af37c2aaf43d3ce86e90aee

[ "MIT" ]

null

cortex/api/event_stream.py

sergioisidoro/cognisense

405d486467cbd1330af37c2aaf43d3ce86e90aee

[ "MIT" ]

1

2016-04-05T21:40:53.000Z

cortex/api/event_stream.py

sergioisidoro/cognisense

405d486467cbd1330af37c2aaf43d3ce86e90aee

[ "MIT" ]

null

import redis red = redis.StrictRedis() def event_stream(channel): pubsub = red.pubsub() pubsub.subscribe(channel) # TODO: handle client disconnection. for message in pubsub.listen(): yield 'data: %s\n\n' % message['data'] def raw_event_stream(channel): pubsub = red.pubsub() pubsub.subscribe(channel) # TODO: handle client disconnection. for message in pubsub.listen(): yield message['data']

21.238095

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446

20

47

22.3

0.84

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null

0

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0

null

0

1

0

7

85eb962412b32659cf1a11355936020ea6cbc9d7

157

py

Python

chatintents/__init__.py

dborrelli/chat-intents

b483fcd2fa30eab795ef5ed25f7bb8b2c7afbab1

[ "MIT" ]

28

2021-10-20T01:46:09.000Z

2022-03-24T12:22:44.000Z

chatintents/__init__.py

dborrelli/chat-intents

b483fcd2fa30eab795ef5ed25f7bb8b2c7afbab1

[ "MIT" ]

2

2021-12-09T22:15:16.000Z

2021-12-27T20:13:11.000Z

chatintents/__init__.py

dborrelli/chat-intents

b483fcd2fa30eab795ef5ed25f7bb8b2c7afbab1

[ "MIT" ]

6

2021-11-16T17:50:15.000Z

2022-03-24T12:24:55.000Z

from chatintents.ChatIntents import ChatIntents from chatintents.ChatIntents import evaluate_models from chatintents.ChatIntents import top_cluster_category

39.25

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0.904459

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1

0

8

c08fe856ad3a6f34ad2086cc5b3bf0a3d43ef253

184

py

Python

Curso de Cisco/Actividades/Act 3 - Modulo 6.py

tomasfriz/Curso-de-Cisco

a50ee5fa96bd86d468403e29ccdc3565a181af60

[ "MIT" ]

null

Curso de Cisco/Actividades/Act 3 - Modulo 6.py

tomasfriz/Curso-de-Cisco

a50ee5fa96bd86d468403e29ccdc3565a181af60

[ "MIT" ]

null

Curso de Cisco/Actividades/Act 3 - Modulo 6.py

tomasfriz/Curso-de-Cisco

a50ee5fa96bd86d468403e29ccdc3565a181af60

[ "MIT" ]

null

class ExcepcionDatosAlumnos(Exception): pass class LineaErronea(ExcepcionDatosAlumnos): # coloca tu código aquí class ArchivoVacio(ExcepcionDatosAlumnos): # coloca tu código aquí

23

42

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184

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0.355263

0.381579

0.460526

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0.11413

184

8

43

23

0.92638

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null

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0

null

0

1

0

1

0

7

c0a11df11d5ccba77e3a3e1a3de54df92d2efda6

139

py

Python

python/AmcCarrierCore/AppMps/__init__.py

slaclab/amc-carrier-core

1ecbd2d2c9215863c200b4404456616dd4ed2e2f

[ "BSD-3-Clause-LBNL" ]

1

2019-01-31T17:12:03.000Z

python/AmcCarrierCore/AppMps/__init__.py

slaclab/amc-carrier-core

1ecbd2d2c9215863c200b4404456616dd4ed2e2f

[ "BSD-3-Clause-LBNL" ]

33

2018-03-25T21:06:15.000Z

2022-01-27T17:07:01.000Z

python/AmcCarrierCore/AppMps/__init__.py

slaclab/amc-carrier-core

1ecbd2d2c9215863c200b4404456616dd4ed2e2f

[ "BSD-3-Clause-LBNL" ]

3

2020-04-16T12:37:58.000Z

2022-03-31T09:14:13.000Z

from AmcCarrierCore.AppMps._AppMps import * from AmcCarrierCore.AppMps._AppMpsSalt import * from AmcCarrierCore.AppMps._AppMpsThr import *

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null

0

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1

0

8

c0f80a572b0e896734a6ae0e14cdbc2863a89625

16,399

py

Python

sdk/python/pulumi_gitlab/project_mirror.py

pulumi/pulumi-gitlab

5627240bf718fc765d3a2068acd20621383514c8

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

11

2019-09-17T20:41:23.000Z

2021-12-02T20:39:23.000Z

sdk/python/pulumi_gitlab/project_mirror.py

pulumi/pulumi-gitlab

5627240bf718fc765d3a2068acd20621383514c8

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

67

2019-06-21T18:30:30.000Z

2022-03-31T21:27:20.000Z

sdk/python/pulumi_gitlab/project_mirror.py

pulumi/pulumi-gitlab

5627240bf718fc765d3a2068acd20621383514c8

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

2

2019-10-05T10:36:36.000Z

2021-05-13T18:14:59.000Z

# 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__ = ['ProjectMirrorArgs', 'ProjectMirror'] @pulumi.input_type class ProjectMirrorArgs: def __init__(__self__, *, project: pulumi.Input[str], url: pulumi.Input[str], enabled: Optional[pulumi.Input[bool]] = None, keep_divergent_refs: Optional[pulumi.Input[bool]] = None, only_protected_branches: Optional[pulumi.Input[bool]] = None): """ The set of arguments for constructing a ProjectMirror resource. :param pulumi.Input[str] project: The id of the project. :param pulumi.Input[str] url: The URL of the remote repository to be mirrored. :param pulumi.Input[bool] enabled: Determines if the mirror is enabled. :param pulumi.Input[bool] keep_divergent_refs: Determines if divergent refs are skipped. :param pulumi.Input[bool] only_protected_branches: Determines if only protected branches are mirrored. """ pulumi.set(__self__, "project", project) pulumi.set(__self__, "url", url) if enabled is not None: pulumi.set(__self__, "enabled", enabled) if keep_divergent_refs is not None: pulumi.set(__self__, "keep_divergent_refs", keep_divergent_refs) if only_protected_branches is not None: pulumi.set(__self__, "only_protected_branches", only_protected_branches) @property @pulumi.getter def project(self) -> pulumi.Input[str]: """ The id of the project. """ return pulumi.get(self, "project") @project.setter def project(self, value: pulumi.Input[str]): pulumi.set(self, "project", value) @property @pulumi.getter def url(self) -> pulumi.Input[str]: """ The URL of the remote repository to be mirrored. """ return pulumi.get(self, "url") @url.setter def url(self, value: pulumi.Input[str]): pulumi.set(self, "url", value) @property @pulumi.getter def enabled(self) -> Optional[pulumi.Input[bool]]: """ Determines if the mirror is enabled. """ return pulumi.get(self, "enabled") @enabled.setter def enabled(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "enabled", value) @property @pulumi.getter(name="keepDivergentRefs") def keep_divergent_refs(self) -> Optional[pulumi.Input[bool]]: """ Determines if divergent refs are skipped. """ return pulumi.get(self, "keep_divergent_refs") @keep_divergent_refs.setter def keep_divergent_refs(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "keep_divergent_refs", value) @property @pulumi.getter(name="onlyProtectedBranches") def only_protected_branches(self) -> Optional[pulumi.Input[bool]]: """ Determines if only protected branches are mirrored. """ return pulumi.get(self, "only_protected_branches") @only_protected_branches.setter def only_protected_branches(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "only_protected_branches", value) @pulumi.input_type class _ProjectMirrorState: def __init__(__self__, *, enabled: Optional[pulumi.Input[bool]] = None, keep_divergent_refs: Optional[pulumi.Input[bool]] = None, mirror_id: Optional[pulumi.Input[int]] = None, only_protected_branches: Optional[pulumi.Input[bool]] = None, project: Optional[pulumi.Input[str]] = None, url: Optional[pulumi.Input[str]] = None): """ Input properties used for looking up and filtering ProjectMirror resources. :param pulumi.Input[bool] enabled: Determines if the mirror is enabled. :param pulumi.Input[bool] keep_divergent_refs: Determines if divergent refs are skipped. :param pulumi.Input[bool] only_protected_branches: Determines if only protected branches are mirrored. :param pulumi.Input[str] project: The id of the project. :param pulumi.Input[str] url: The URL of the remote repository to be mirrored. """ if enabled is not None: pulumi.set(__self__, "enabled", enabled) if keep_divergent_refs is not None: pulumi.set(__self__, "keep_divergent_refs", keep_divergent_refs) if mirror_id is not None: pulumi.set(__self__, "mirror_id", mirror_id) if only_protected_branches is not None: pulumi.set(__self__, "only_protected_branches", only_protected_branches) if project is not None: pulumi.set(__self__, "project", project) if url is not None: pulumi.set(__self__, "url", url) @property @pulumi.getter def enabled(self) -> Optional[pulumi.Input[bool]]: """ Determines if the mirror is enabled. """ return pulumi.get(self, "enabled") @enabled.setter def enabled(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "enabled", value) @property @pulumi.getter(name="keepDivergentRefs") def keep_divergent_refs(self) -> Optional[pulumi.Input[bool]]: """ Determines if divergent refs are skipped. """ return pulumi.get(self, "keep_divergent_refs") @keep_divergent_refs.setter def keep_divergent_refs(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "keep_divergent_refs", value) @property @pulumi.getter(name="mirrorId") def mirror_id(self) -> Optional[pulumi.Input[int]]: return pulumi.get(self, "mirror_id") @mirror_id.setter def mirror_id(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "mirror_id", value) @property @pulumi.getter(name="onlyProtectedBranches") def only_protected_branches(self) -> Optional[pulumi.Input[bool]]: """ Determines if only protected branches are mirrored. """ return pulumi.get(self, "only_protected_branches") @only_protected_branches.setter def only_protected_branches(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "only_protected_branches", value) @property @pulumi.getter def project(self) -> Optional[pulumi.Input[str]]: """ The id of the project. """ return pulumi.get(self, "project") @project.setter def project(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "project", value) @property @pulumi.getter def url(self) -> Optional[pulumi.Input[str]]: """ The URL of the remote repository to be mirrored. """ return pulumi.get(self, "url") @url.setter def url(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "url", value) class ProjectMirror(pulumi.CustomResource): @overload def __init__(__self__, resource_name: str, opts: Optional[pulumi.ResourceOptions] = None, enabled: Optional[pulumi.Input[bool]] = None, keep_divergent_refs: Optional[pulumi.Input[bool]] = None, only_protected_branches: Optional[pulumi.Input[bool]] = None, project: Optional[pulumi.Input[str]] = None, url: Optional[pulumi.Input[str]] = None, __props__=None): """ ## # gitlab\_project_mirror This resource allows you to add a mirror target for the repository, all changes will be synced to the remote target. > This is for *pushing* changes to a remote repository. *Pull Mirroring* can be configured using a combination of the `import_url`, `mirror`, and `mirror_trigger_builds` properties on the `Project` resource. For further information on mirroring, consult the [gitlab documentation](https://docs.gitlab.com/ee/user/project/repository/repository_mirroring.html#repository-mirroring). ## Example Usage ```python import pulumi import pulumi_gitlab as gitlab foo = gitlab.ProjectMirror("foo", project="1", url="https://username:password@github.com/org/repository.git") ``` ## Import GitLab project mirror can be imported using an id made up of `project_id:mirror_id`, e.g. ```sh $ pulumi import gitlab:index/projectMirror:ProjectMirror foo "12345:1337" ``` :param str resource_name: The name of the resource. :param pulumi.ResourceOptions opts: Options for the resource. :param pulumi.Input[bool] enabled: Determines if the mirror is enabled. :param pulumi.Input[bool] keep_divergent_refs: Determines if divergent refs are skipped. :param pulumi.Input[bool] only_protected_branches: Determines if only protected branches are mirrored. :param pulumi.Input[str] project: The id of the project. :param pulumi.Input[str] url: The URL of the remote repository to be mirrored. """ ... @overload def __init__(__self__, resource_name: str, args: ProjectMirrorArgs, opts: Optional[pulumi.ResourceOptions] = None): """ ## # gitlab\_project_mirror This resource allows you to add a mirror target for the repository, all changes will be synced to the remote target. > This is for *pushing* changes to a remote repository. *Pull Mirroring* can be configured using a combination of the `import_url`, `mirror`, and `mirror_trigger_builds` properties on the `Project` resource. For further information on mirroring, consult the [gitlab documentation](https://docs.gitlab.com/ee/user/project/repository/repository_mirroring.html#repository-mirroring). ## Example Usage ```python import pulumi import pulumi_gitlab as gitlab foo = gitlab.ProjectMirror("foo", project="1", url="https://username:password@github.com/org/repository.git") ``` ## Import GitLab project mirror can be imported using an id made up of `project_id:mirror_id`, e.g. ```sh $ pulumi import gitlab:index/projectMirror:ProjectMirror foo "12345:1337" ``` :param str resource_name: The name of the resource. :param ProjectMirrorArgs 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(ProjectMirrorArgs, 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, enabled: Optional[pulumi.Input[bool]] = None, keep_divergent_refs: Optional[pulumi.Input[bool]] = None, only_protected_branches: Optional[pulumi.Input[bool]] = None, project: Optional[pulumi.Input[str]] = None, url: 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__ = ProjectMirrorArgs.__new__(ProjectMirrorArgs) __props__.__dict__["enabled"] = enabled __props__.__dict__["keep_divergent_refs"] = keep_divergent_refs __props__.__dict__["only_protected_branches"] = only_protected_branches if project is None and not opts.urn: raise TypeError("Missing required property 'project'") __props__.__dict__["project"] = project if url is None and not opts.urn: raise TypeError("Missing required property 'url'") __props__.__dict__["url"] = url __props__.__dict__["mirror_id"] = None super(ProjectMirror, __self__).__init__( 'gitlab:index/projectMirror:ProjectMirror', resource_name, __props__, opts) @staticmethod def get(resource_name: str, id: pulumi.Input[str], opts: Optional[pulumi.ResourceOptions] = None, enabled: Optional[pulumi.Input[bool]] = None, keep_divergent_refs: Optional[pulumi.Input[bool]] = None, mirror_id: Optional[pulumi.Input[int]] = None, only_protected_branches: Optional[pulumi.Input[bool]] = None, project: Optional[pulumi.Input[str]] = None, url: Optional[pulumi.Input[str]] = None) -> 'ProjectMirror': """ Get an existing ProjectMirror 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[bool] enabled: Determines if the mirror is enabled. :param pulumi.Input[bool] keep_divergent_refs: Determines if divergent refs are skipped. :param pulumi.Input[bool] only_protected_branches: Determines if only protected branches are mirrored. :param pulumi.Input[str] project: The id of the project. :param pulumi.Input[str] url: The URL of the remote repository to be mirrored. """ opts = pulumi.ResourceOptions.merge(opts, pulumi.ResourceOptions(id=id)) __props__ = _ProjectMirrorState.__new__(_ProjectMirrorState) __props__.__dict__["enabled"] = enabled __props__.__dict__["keep_divergent_refs"] = keep_divergent_refs __props__.__dict__["mirror_id"] = mirror_id __props__.__dict__["only_protected_branches"] = only_protected_branches __props__.__dict__["project"] = project __props__.__dict__["url"] = url return ProjectMirror(resource_name, opts=opts, __props__=__props__) @property @pulumi.getter def enabled(self) -> pulumi.Output[Optional[bool]]: """ Determines if the mirror is enabled. """ return pulumi.get(self, "enabled") @property @pulumi.getter(name="keepDivergentRefs") def keep_divergent_refs(self) -> pulumi.Output[Optional[bool]]: """ Determines if divergent refs are skipped. """ return pulumi.get(self, "keep_divergent_refs") @property @pulumi.getter(name="mirrorId") def mirror_id(self) -> pulumi.Output[int]: return pulumi.get(self, "mirror_id") @property @pulumi.getter(name="onlyProtectedBranches") def only_protected_branches(self) -> pulumi.Output[Optional[bool]]: """ Determines if only protected branches are mirrored. """ return pulumi.get(self, "only_protected_branches") @property @pulumi.getter def project(self) -> pulumi.Output[str]: """ The id of the project. """ return pulumi.get(self, "project") @property @pulumi.getter def url(self) -> pulumi.Output[str]: """ The URL of the remote repository to be mirrored. """ return pulumi.get(self, "url")

39.803398

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0.642539

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0.061516

0.821001

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0.751164

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0.004525

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0

null

0

1

0

1

0

null

0

7

238a808b6bb211cb66edbf2917d8199a646dde4b

21,118

py

Python

synth/syn-flow-no-ila/scripts/create_debug_xdc.py

caesr-uwaterloo/MapleBoard

4687854d230ef6ca16270fc0168f8c627c7e7eac

[ "MIT" ]

1

2022-02-19T13:12:08.000Z

synth/syn-flow-no-ila/scripts/create_debug_xdc.py

caesr-uwaterloo/MapleBoard

4687854d230ef6ca16270fc0168f8c627c7e7eac

[ "MIT" ]

null

synth/syn-flow-no-ila/scripts/create_debug_xdc.py

caesr-uwaterloo/MapleBoard

4687854d230ef6ca16270fc0168f8c627c7e7eac

[ "MIT" ]

null

""" This script generates the xdc file for debugging Note that all the wires to debug must be present in the synthesized design Currently, the debug hub clock and the ila clock should be the same and should be free-running Not sure if other setup works correctly. """ # ---- This part is the only part that needs to be changed ---- nets_clk = 'sh_root_clk' nets_clk_mhz = '100' nets_to_debug = [ ("Confreg/reg_initPC", 64) , ("Confreg/reg_resetReg", 64), ("Confreg/reg_st", 2), # Core 0 Interfaces ("PipelinedCoreGroupAXI/memory/cache/io_core_request_channel_bits_address", 64), ("PipelinedCoreGroupAXI/memory/cache/io_core_request_channel_valid", 1), ("PipelinedCoreGroupAXI/memory/cache/io_core_request_channel_ready", 1), ("PipelinedCoreGroupAXI/memory/cache/io_core_response_channel_bits_data", 64), ("PipelinedCoreGroupAXI/memory/cache/io_core_response_channel_bits_latency", 64), ("PipelinedCoreGroupAXI/memory/cache/io_core_response_channel_valid", 1), ("PipelinedCoreGroupAXI/memory/cache/io_core_response_channel_ready", 1), # Core Messages # ("PipelinedCoreGroupAXI/memory/cache_1/tag_check/coherenceTable/io_enable", 1), # ("PipelinedCoreGroupAXI/memory/cache_1/tag_check/coherenceTable/io_query_message", 5), # ("PipelinedCoreGroupAXI/memory/cache_1/tag_check/coherenceTable/io_query_state", 5), # ("PipelinedCoreGroupAXI/memory/cache_1/tag_check/coherenceTable/io_resp_nextState", 5), # ("PipelinedCoreGroupAXI/memory/cache_1/tag_check/io_pipe_in_bits_address", 64), # ("PipelinedCoreGroupAXI/memory/cache_1/tag_check/io_pipe_in_valid", 1), ("PipelinedCoreGroupAXI/memory/cache_1/io_core_request_channel_bits_address", 64), ("PipelinedCoreGroupAXI/memory/cache_1/io_core_request_channel_valid", 1), ("PipelinedCoreGroupAXI/memory/cache_1/io_core_request_channel_ready", 1), ("PipelinedCoreGroupAXI/memory/cache_1/io_core_response_channel_bits_data", 64), ("PipelinedCoreGroupAXI/memory/cache_1/io_core_response_channel_bits_latency", 64), ("PipelinedCoreGroupAXI/memory/cache_1/io_core_response_channel_valid", 1), ("PipelinedCoreGroupAXI/memory/cache_1/io_core_response_channel_ready", 1), # ("PipelinedCoreGroupAXI/memory/cache_1/writeback/pendingWriteback/io_enq_valid", 1), # ("PipelinedCoreGroupAXI/memory/cache_1/writeback/pendingWriteback/io_deq_valid", 1), # ("PipelinedCoreGroupAXI/memory/cache_1/writeback/pendingWriteback/io_deq_ready", 1), # ("PipelinedCoreGroupAXI/memory/cache_1/writeback/pendingWriteback/io_deq_bits_address", 64), # ("PipelinedCoreGroupAXI/memory/cache_1/writeback/pendingWriteback/io_count", 5), # ("PipelinedCoreGroupAXI/memory/cache_1/writeback/io_bus_request_channel_valid", 1), # ("PipelinedCoreGroupAXI/memory/cache_1/writeback/io_bus_request_channel_ready", 1), # ("PipelinedCoreGroupAXI/memory/cache_1/tag_check/coherenceTable/io_resp_broadcastWB", 1), # # instruction flow # # Core 1 # ("PipelinedCoreGroupAXI/memory/cache_3/tag_check/coherenceTable/io_enable", 1), # ("PipelinedCoreGroupAXI/memory/cache_3/tag_check/coherenceTable/io_query_message", 5), # ("PipelinedCoreGroupAXI/memory/cache_3/tag_check/coherenceTable/io_query_state", 5), # ("PipelinedCoreGroupAXI/memory/cache_3/tag_check/coherenceTable/io_resp_nextState", 5), # ("PipelinedCoreGroupAXI/memory/cache_3/tag_check/io_pipe_in_bits_address", 64), # ("PipelinedCoreGroupAXI/memory/cache_3/tag_check/io_pipe_in_valid", 1), ("PipelinedCoreGroupAXI/memory/cache_3/io_core_request_channel_bits_address", 64), ("PipelinedCoreGroupAXI/memory/cache_3/io_core_request_channel_valid", 1), ("PipelinedCoreGroupAXI/memory/cache_3/io_core_request_channel_ready", 1), ("PipelinedCoreGroupAXI/memory/cache_3/io_core_response_channel_bits_data", 64), ("PipelinedCoreGroupAXI/memory/cache_3/io_core_response_channel_bits_latency", 64), ("PipelinedCoreGroupAXI/memory/cache_3/io_core_response_channel_valid", 1), ("PipelinedCoreGroupAXI/memory/cache_3/io_core_response_channel_ready", 1), # ("PipelinedCoreGroupAXI/memory/cache_3/writeback/pendingWriteback/io_enq_valid", 1), # ("PipelinedCoreGroupAXI/memory/cache_3/writeback/pendingWriteback/io_deq_valid", 1), # ("PipelinedCoreGroupAXI/memory/cache_3/writeback/pendingWriteback/io_deq_ready", 1), # ("PipelinedCoreGroupAXI/memory/cache_3/writeback/pendingWriteback/io_deq_bits_address", 64), # ("PipelinedCoreGroupAXI/memory/cache_3/writeback/pendingWriteback/io_count", 5), # ("PipelinedCoreGroupAXI/memory/cache_3/writeback/io_bus_request_channel_valid", 1), # ("PipelinedCoreGroupAXI/memory/cache_3/writeback/io_bus_request_channel_ready", 1), # # ("PipelinedCoreGroupAXI/memory/cache_3/writeback/rrCounter", 1), # ("PipelinedCoreGroupAXI/memory/cache_3/tag_check/coherenceTable/io_resp_broadcastWB", 1), # # Core 2 # ("PipelinedCoreGroupAXI/memory/cache_5/tag_check/coherenceTable/io_enable", 1), # ("PipelinedCoreGroupAXI/memory/cache_5/tag_check/coherenceTable/io_query_message", 5), # ("PipelinedCoreGroupAXI/memory/cache_5/tag_check/coherenceTable/io_query_state", 5), # ("PipelinedCoreGroupAXI/memory/cache_5/tag_check/coherenceTable/io_resp_nextState", 5), # ("PipelinedCoreGroupAXI/memory/cache_5/tag_check/io_pipe_in_bits_address", 64), # ("PipelinedCoreGroupAXI/memory/cache_5/tag_check/io_pipe_in_valid", 1), # ("PipelinedCoreGroupAXI/memory/cache_5/io_core_request_channel_bits_address", 64), # ("PipelinedCoreGroupAXI/memory/cache_5/io_core_request_channel_valid", 1), # ("PipelinedCoreGroupAXI/memory/cache_5/io_core_request_channel_ready", 1), # ("PipelinedCoreGroupAXI/memory/cache_5/io_core_response_channel_bits_data", 64), # ("PipelinedCoreGroupAXI/memory/cache_5/io_core_response_channel_bits_latency", 64), # ("PipelinedCoreGroupAXI/memory/cache_5/io_core_response_channel_valid", 1), # ("PipelinedCoreGroupAXI/memory/cache_5/io_core_response_channel_ready", 1), # ("PipelinedCoreGroupAXI/memory/cache_5/writeback/pendingWriteback/io_enq_valid", 1), # ("PipelinedCoreGroupAXI/memory/cache_5/writeback/pendingWriteback/io_deq_valid", 1), # ("PipelinedCoreGroupAXI/memory/cache_5/writeback/pendingWriteback/io_deq_ready", 1), # ("PipelinedCoreGroupAXI/memory/cache_5/writeback/pendingWriteback/io_deq_bits_address", 64), # ("PipelinedCoreGroupAXI/memory/cache_5/writeback/pendingWriteback/io_count", 5), # ("PipelinedCoreGroupAXI/memory/cache_5/writeback/io_bus_request_channel_valid", 1), # ("PipelinedCoreGroupAXI/memory/cache_5/writeback/io_bus_request_channel_ready", 1), # # ("PipelinedCoreGroupAXI/memory/cache_5/writeback/rrCounter", 1), # ("PipelinedCoreGroupAXI/memory/cache_5/tag_check/coherenceTable/io_resp_broadcastWB", 1), # # Core 7 # ("PipelinedCoreGroupAXI/memory/cache_7/tag_check/coherenceTable/io_enable", 1), # ("PipelinedCoreGroupAXI/memory/cache_7/tag_check/coherenceTable/io_query_message", 5), # ("PipelinedCoreGroupAXI/memory/cache_7/tag_check/coherenceTable/io_query_state", 5), # ("PipelinedCoreGroupAXI/memory/cache_7/tag_check/coherenceTable/io_resp_nextState", 5), # ("PipelinedCoreGroupAXI/memory/cache_7/tag_check/io_pipe_in_bits_address", 64), # ("PipelinedCoreGroupAXI/memory/cache_7/tag_check/io_pipe_in_valid", 1), # ("PipelinedCoreGroupAXI/memory/cache_7/io_core_request_channel_bits_address", 64), # ("PipelinedCoreGroupAXI/memory/cache_7/io_core_request_channel_valid", 1), # ("PipelinedCoreGroupAXI/memory/cache_7/io_core_request_channel_ready", 1), # ("PipelinedCoreGroupAXI/memory/cache_7/io_core_response_channel_bits_data", 64), # ("PipelinedCoreGroupAXI/memory/cache_7/io_core_response_channel_bits_latency", 64), # ("PipelinedCoreGroupAXI/memory/cache_7/io_core_response_channel_valid", 1), # ("PipelinedCoreGroupAXI/memory/cache_7/io_core_response_channel_ready", 1), # ("PipelinedCoreGroupAXI/memory/cache_7/writeback/pendingWriteback/io_enq_valid", 1), # ("PipelinedCoreGroupAXI/memory/cache_7/writeback/pendingWriteback/io_deq_valid", 1), # ("PipelinedCoreGroupAXI/memory/cache_7/writeback/pendingWriteback/io_deq_ready", 1), # ("PipelinedCoreGroupAXI/memory/cache_7/writeback/pendingWriteback/io_deq_bits_address", 64), # ("PipelinedCoreGroupAXI/memory/cache_7/writeback/pendingWriteback/io_count", 5), # ("PipelinedCoreGroupAXI/memory/cache_7/writeback/io_bus_request_channel_valid", 1), # ("PipelinedCoreGroupAXI/memory/cache_7/writeback/io_bus_request_channel_ready", 1), # # ("PipelinedCoreGroupAXI/memory/cache_7/writeback/rrCounter", 1), # ("PipelinedCoreGroupAXI/memory/cache_7/tag_check/coherenceTable/io_resp_broadcastWB", 1), # # Core 3 # ("PipelinedCoreGroupAXI/memory/cache_8/tag_check/coherenceTable/io_enable", 1), # ("PipelinedCoreGroupAXI/memory/cache_8/tag_check/coherenceTable/io_query_message", 5), # ("PipelinedCoreGroupAXI/memory/cache_8/tag_check/coherenceTable/io_query_state", 5), # ("PipelinedCoreGroupAXI/memory/cache_8/tag_check/coherenceTable/io_resp_nextState", 5), # ("PipelinedCoreGroupAXI/memory/cache_8/tag_check/io_pipe_in_bits_address", 64), # ("PipelinedCoreGroupAXI/memory/cache_8/tag_check/io_pipe_in_valid", 1), # ("PipelinedCoreGroupAXI/memory/cache_8/io_core_request_channel_bits_address", 64), # ("PipelinedCoreGroupAXI/memory/cache_8/io_core_request_channel_valid", 1), # ("PipelinedCoreGroupAXI/memory/cache_8/io_core_request_channel_ready", 1), # ("PipelinedCoreGroupAXI/memory/cache_8/io_core_response_channel_bits_data", 64), # ("PipelinedCoreGroupAXI/memory/cache_8/io_core_response_channel_bits_latency", 64), # ("PipelinedCoreGroupAXI/memory/cache_8/io_core_response_channel_valid", 1), # ("PipelinedCoreGroupAXI/memory/cache_8/io_core_response_channel_ready", 1), # ("PipelinedCoreGroupAXI/memory/cache_8/writeback/pendingWriteback/io_enq_valid", 1), # ("PipelinedCoreGroupAXI/memory/cache_8/writeback/pendingWriteback/io_deq_valid", 1), # ("PipelinedCoreGroupAXI/memory/cache_8/writeback/pendingWriteback/io_deq_ready", 1), # ("PipelinedCoreGroupAXI/memory/cache_8/writeback/pendingWriteback/io_deq_bits_address", 64), # ("PipelinedCoreGroupAXI/memory/cache_8/writeback/pendingWriteback/io_count", 5), # ("PipelinedCoreGroupAXI/memory/cache_8/writeback/io_bus_request_channel_valid", 1), # ("PipelinedCoreGroupAXI/memory/cache_8/writeback/io_bus_request_channel_ready", 1), # # ("PipelinedCoreGroupAXI/memory/cache_8/writeback/rrCounter", 1), # ("PipelinedCoreGroupAXI/memory/cache_8/tag_check/coherenceTable/io_resp_broadcastWB", 1), # # for Slot # ("AXI4ToReq/io_req_bits_address", 64), # ("AXI4ToReq/io_req_bits_wstrb", 8), # ("AXI4ToReq/io_req_bits_use_wstrb", 1), # ("AXI4ToReq/io_req_bits_data", 64), # # ("AXI4ToReq/io_req_bits_len", 2), # ("AXI4ToReq/io_req_valid", 1), # ("AXI4ToReq/io_req_ready", 1), # ("AXI4ToReq/io_resp_bits_data", 64), # ("AXI4ToReq/io_resp_valid", 1), # ("AXI4ToReq/io_resp_ready", 1), # # SLOT s_axi # # AR # ("AXI4ToReq/s_axi_ar_bits_addr", 64), # ("AXI4ToReq/s_axi_ar_bits_size", 3), # ("AXI4ToReq/s_axi_ar_bits_len", 8), # ("AXI4ToReq/s_axi_ar_valid", 1), # ("AXI4ToReq/s_axi_ar_ready", 1), # # R # ("AXI4ToReq/s_axi_r_bits_data", 64), # ("AXI4ToReq/s_axi_r_valid", 1), # ("AXI4ToReq/s_axi_r_ready", 1), # # AW # ("AXI4ToReq/s_axi_aw_bits_addr", 64), # ("AXI4ToReq/s_axi_aw_bits_size", 3), # ("AXI4ToReq/s_axi_aw_bits_len", 8), # ("AXI4ToReq/s_axi_aw_valid", 1), # ("AXI4ToReq/s_axi_aw_ready", 1), # # W # ("AXI4ToReq/s_axi_w_bits_data", 64), # ("AXI4ToReq/s_axi_w_bits_strb", 8), # ("AXI4ToReq/s_axi_w_valid", 1), # ("AXI4ToReq/s_axi_w_ready", 1), # # B # ("AXI4ToReq/s_axi_b_valid", 1), # ("AXI4ToReq/s_axi_b_ready", 1), # Bus ("PipelinedCoreGroupAXI/memory/bus/arbiter/io_chosen", 4), ("PipelinedCoreGroupAXI/memory/bus/arbiter/ResponseValid0", 1), ("PipelinedCoreGroupAXI/memory/bus/arbiter/ResponseValid1", 1), ("PipelinedCoreGroupAXI/memory/bus/arbiter/ResponseValid2", 1), ("PipelinedCoreGroupAXI/memory/bus/arbiter/ResponseValid3", 1), ("PipelinedCoreGroupAXI/memory/bus/arbiter/ResponseValid4", 1), ("PipelinedCoreGroupAXI/memory/bus/arbiter/ResponseValid5", 1), ("PipelinedCoreGroupAXI/memory/bus/arbiter/ResponseValid6", 1), ("PipelinedCoreGroupAXI/memory/bus/arbiter/ResponseValid7", 1), ("PipelinedCoreGroupAXI/memory/bus/arbiter/ResponseValid8", 1), ("PipelinedCoreGroupAXI/memory/bus/arbiter/validMaster_0", 1), ("PipelinedCoreGroupAXI/memory/bus/arbiter/validMaster_1", 1), ("PipelinedCoreGroupAXI/memory/bus/arbiter/validMaster_2", 1), ("PipelinedCoreGroupAXI/memory/bus/arbiter/validMaster_3", 1), ("PipelinedCoreGroupAXI/memory/bus/arbiter/validMaster_4", 1), ("PipelinedCoreGroupAXI/memory/bus/arbiter/validMaster_5", 1), ("PipelinedCoreGroupAXI/memory/bus/arbiter/validMaster_6", 1), ("PipelinedCoreGroupAXI/memory/bus/arbiter/validMaster_7", 1), ("PipelinedCoreGroupAXI/memory/bus/arbiter/validMaster_8", 1), ("PipelinedCoreGroupAXI/memory/bus/arbiter/queued_0", 1), ("PipelinedCoreGroupAXI/memory/bus/arbiter/queued_1", 1), ("PipelinedCoreGroupAXI/memory/bus/arbiter/queued_2", 1), ("PipelinedCoreGroupAXI/memory/bus/arbiter/queued_3", 1), ("PipelinedCoreGroupAXI/memory/bus/arbiter/queued_4", 1), ("PipelinedCoreGroupAXI/memory/bus/arbiter/queued_5", 1), ("PipelinedCoreGroupAXI/memory/bus/arbiter/queued_6", 1), ("PipelinedCoreGroupAXI/memory/bus/arbiter/queued_7", 1), ("PipelinedCoreGroupAXI/memory/bus/arbiter/queued_8", 1), ("PipelinedCoreGroupAXI/memory/bus/arbiter/slotRRCounter", 4), ("PipelinedCoreGroupAXI/memory/bus/arbiter/slotQueue_io_enq_ready", 1), ("PipelinedCoreGroupAXI/memory/bus/arbiter/slotQueue_io_enq_valid", 1), ("PipelinedCoreGroupAXI/memory/bus/arbiter/slotQueue_io_enq_bits", 4), ("PipelinedCoreGroupAXI/memory/bus/arbiter/slotQueue_io_deq_ready", 1), ("PipelinedCoreGroupAXI/memory/bus/arbiter/slotQueue_io_deq_valid", 1), ("PipelinedCoreGroupAXI/memory/bus/arbiter/slotQueue_io_deq_bits", 4), ("PipelinedCoreGroupAXI/memory/bus/arbiter/slotQueue_io_count", 4), ("PipelinedCoreGroupAXI/memory/bus/arbiter/ownerQueue_io_enq_ready", 1), ("PipelinedCoreGroupAXI/memory/bus/arbiter/ownerQueue_io_enq_valid", 1), ("PipelinedCoreGroupAXI/memory/bus/arbiter/ownerQueue_io_enq_bits", 4), ("PipelinedCoreGroupAXI/memory/bus/arbiter/ownerQueue_io_deq_ready", 1), ("PipelinedCoreGroupAXI/memory/bus/arbiter/ownerQueue_io_deq_valid", 1), ("PipelinedCoreGroupAXI/memory/bus/arbiter/ownerQueue_io_deq_bits", 4), ("PipelinedCoreGroupAXI/memory/bus/arbiter/ownerQueue_io_count", 4), ("PipelinedCoreGroupAXI/memory/bus/arbiter/slotOwnerWrapWire", 1), ("PipelinedCoreGroupAXI/memory/bus/arbiter/slotOwnerWire", 4), ("PipelinedCoreGroupAXI/memory/bus/arbiter/assertDeq", 1), # # tooLarge # # ("PipelinedCoreGroupAXI/tooLarge", 9), # # MC # # ("PipelinedCoreGroupAXI/mem_to_axi/maxLatency", 64), ("PipelinedCoreGroupAXI/memory/memory_controller/frontend/io_bus_request_channel_bits_address", 64), ("PipelinedCoreGroupAXI/memory/memory_controller/frontend/io_bus_request_channel_bits_req_type", 5), ("PipelinedCoreGroupAXI/memory/memory_controller/frontend/io_bus_request_channel_bits_requester_id", 3), ("PipelinedCoreGroupAXI/memory/memory_controller/frontend/io_bus_request_channel_valid", 1), ("PipelinedCoreGroupAXI/memory/memory_controller/frontend/io_bus_request_channel_ready", 1), ("PipelinedCoreGroupAXI/memory/memory_controller/dramEngine/address", 64), ("PipelinedCoreGroupAXI/memory/memory_controller/dramEngine/coherenceTable/io_enable", 1), ("PipelinedCoreGroupAXI/memory/memory_controller/dramEngine/coherenceTable/io_query_message", 4), ("PipelinedCoreGroupAXI/memory/memory_controller/dramEngine/coherenceTable/io_query_state", 5), ("PipelinedCoreGroupAXI/memory/memory_controller/dramEngine/coherenceTable/io_resp_nextState", 5), # ("Confreg/stats_lat_0", 64), ("Confreg/stats_lat_1", 64), # ("Confreg/stats_lat_2", 64), ("Confreg/stats_lat_3", 64), # ("Confreg/stats_lat_4", 64), ("Confreg/stats_lat_5", 64), # ("Confreg/stats_lat_6", 64), ("Confreg/stats_lat_7", 64), ("Confreg/stats_lat_8", 64), # # Interface to the main memory... # # ("PipelinedCoreGroupAXI/mem_to_axi4/io_dramReq_bits_address", 64), # # ("PipelinedCoreGroupAXI/mem_to_axi4/io_dramReq_bits_mem_type", 1), # ("PipelinedCoreGroupAXI/mem_to_axi4/io_dramReq_valid", 1), # ("PipelinedCoreGroupAXI/mem_to_axi4/io_dramReq_bits_address", 64), # ("PipelinedCoreGroupAXI/mem_to_axi4/io_dramReq_ready", 1), # ("PipelinedCoreGroupAXI/mem_to_axi4/io_dramResp_valid", 1), # ("PipelinedCoreGroupAXI/mem_to_axi4/io_dramResp_ready", 1), # # MC Interface # # AR # ("PipelinedCoreGroupAXI/mem_to_axi4/m_axi_araddr", 64), # ("PipelinedCoreGroupAXI/mem_to_axi4/m_axi_arvalid", 1), # ("PipelinedCoreGroupAXI/mem_to_axi4/m_axi_arready", 1), # # R # ("PipelinedCoreGroupAXI/mem_to_axi4/m_axi_rdata", 64), # ("PipelinedCoreGroupAXI/mem_to_axi4/m_axi_rvalid", 1), # ("PipelinedCoreGroupAXI/mem_to_axi4/m_axi_rready", 1), # # AW # ("PipelinedCoreGroupAXI/m_axi_awaddr", 64), # ("PipelinedCoreGroupAXI/mem_to_axi4/m_axi_awvalid", 1), # ("PipelinedCoreGroupAXI/mem_to_axi4/m_axi_awready", 1), # # W # ("PipelinedCoreGroupAXI/mem_to_axi4/m_axi_wdata", 64), # ("PipelinedCoreGroupAXI/mem_to_axi4/m_axi_wvalid", 1), # ("PipelinedCoreGroupAXI/mem_to_axi4/m_axi_wready", 1), # # B # ("PipelinedCoreGroupAXI/mem_to_axi4/m_axi_bvalid", 1), # ("PipelinedCoreGroupAXI/mem_to_axi4/m_axi_bready", 1) ] depth = 16384 pipe_stages = 3 # ---- Generate the ports ---- current_port_id = 0 res = '' for net_id in nets_to_debug: if current_port_id != 0: res = res + 'create_debug_port u_ila_0 probe\n' if net_id[1] == 1: net_list = '{' + net_id[0] + '}' else: net_list = ' '.join('{' + net_id[0] + f'[{idx}]' + '}' for idx in range(net_id[1])) res += f""" set_property PROBE_TYPE DATA_AND_TRIGGER [get_debug_ports u_ila_0/probe{current_port_id}] set_property port_width {net_id[1]} [get_debug_ports u_ila_0/probe{current_port_id}] set_property MARK_DEBUG TRUE [ get_nets {net_id[0]}* ] connect_debug_port u_ila_0/probe{current_port_id} [ get_nets [list {net_list} ] ] """ current_port_id += 1 # ---- ---- template = f""" # This file is generated automatically by Python script # create the debug core (and dbg_hub automatically) create_debug_core u_ila_0 ila # some fixed parameter that is used in the dialog set_property ALL_PROBE_SAME_MU true [get_debug_cores u_ila_0] set_property ALL_PROBE_SAME_MU_CNT 4 [get_debug_cores u_ila_0] set_property C_ADV_TRIGGER true [get_debug_cores u_ila_0] set_property C_DATA_DEPTH {depth} [get_debug_cores u_ila_0] set_property C_EN_STRG_QUAL true [get_debug_cores u_ila_0] set_property C_INPUT_PIPE_STAGES {pipe_stages} [get_debug_cores u_ila_0] set_property C_TRIGIN_EN false [get_debug_cores u_ila_0] set_property C_TRIGOUT_EN false [get_debug_cores u_ila_0] # Setup the clock for u_ila_0 set_property port_width 1 [get_debug_ports u_ila_0/clk] connect_debug_port u_ila_0/clk [get_nets [list {nets_clk}]] {res} # Something for the debug hub # when you create u_ila_0, the dbg_hub is created as well # these parts should be constant set_property C_CLK_INPUT_FREQ_HZ {nets_clk_mhz}000000 [get_debug_cores dbg_hub] set_property C_ENABLE_CLK_DIVIDER true [get_debug_cores dbg_hub] set_property C_USER_SCAN_CHAIN 1 [get_debug_cores dbg_hub] connect_debug_port dbg_hub/clk [get_nets {nets_clk}] """ print(template)

58.824513

112

0.724927

2,539

21,118

5.64553

0.091768

0.323985

0.258965

0.14504

0.854472

0.804032

0.707339

0.647761

0.551346

0.374215

0

0.029847

0.151198

21,118

358

113

58.988827

0.769819

0.511128

0

0.015038

1

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0.492235

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false

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1

0

1

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1

0

1

null

0

8

23ca0e6482a4b615cd0ebd17920d7b553c65476c

120

py

Python

libs/utils/__init__.py

reyuwei/deeplab-pytorch

f4e241c83be5f85f0f2e1be5d76160b8c2d7ec9a

[ "MIT" ]

1

2018-05-22T22:20:10.000Z

libs/utils/__init__.py

reyuwei/deeplab-pytorch

f4e241c83be5f85f0f2e1be5d76160b8c2d7ec9a

[ "MIT" ]

null

libs/utils/__init__.py

reyuwei/deeplab-pytorch

f4e241c83be5f85f0f2e1be5d76160b8c2d7ec9a

[ "MIT" ]

null

from libs.utils.loss import CrossEntropyLoss2d from libs.utils.metric import scores from libs.utils.crf import dense_crf

40

46

0.858333

19

120

5.368421

0.526316

0.235294

0.382353

0

0.009174

0.091667

120

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0.926606

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null

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7

9b071e273004eb0a11fbbbbe19f13a9533f3de3b

135,008

py

Python

assessments/Assignments-2/model_v6.py

linksdl/acs-project-krr

c7ee4af3faaf89e31f8c2763008ae2ccbdf6de04

[ "Apache-2.0" ]

null

assessments/Assignments-2/model_v6.py

linksdl/acs-project-krr

c7ee4af3faaf89e31f8c2763008ae2ccbdf6de04

[ "Apache-2.0" ]

null

assessments/Assignments-2/model_v6.py

linksdl/acs-project-krr

c7ee4af3faaf89e31f8c2763008ae2ccbdf6de04

[ "Apache-2.0" ]

1

2020-11-22T18:05:33.000Z

# !/usr/bin/env python # -*- coding: utf-8 -*- """ @Project : acs-project-krr @File : model_v6.py @Author : Billy Sheng @Contact : shengdl999links@gmail.com @Date : 2020/11/21 11:45 上午 @Version : 1.0.0 @License : Apache License 2.0 @Desc : None """ import json import os from pyecharts import options as opts from pyecharts.charts import Graph, Page MODELS = [ { "DOMAIN": {1, 2, 3, 4, 5, 6, 7}, "City": {1}, "Town": {2, 3}, "Village": {4, 5, 6, 7}, "Road": {(1, 2), (1, 3), (2, 1), (2, 4), (2, 5), (3, 1), (3, 6), (3, 7), (4, 2), (5, 2), (6, 3), (7, 3)}, ">": {(1, 2), (1, 3), (1, 4), (1, 5), (1, 6), (1, 7), (2, 4), (2, 5), (2, 6), (2, 7), (3, 4), (3, 5), (3, 6), (3, 7)} }, { "DOMAIN": {1, 2, 3, 4, 5, 6, 7}, "City": {1}, "Town": {2, 3}, "Village": {4, 5, 6, 7}, "Road": {(1, 2), (1, 3), (2, 1), (2, 4), (2, 6), (3, 1), (3, 5), (3, 7), (4, 2), (5, 3), (6, 2), (7, 3)}, ">": {(1, 2), (1, 3), (1, 4), (1, 5), (1, 6), (1, 7), (2, 4), (2, 5), (2, 6), (2, 7), (3, 4), (3, 5), (3, 6), (3, 7)} }, { "DOMAIN": {1, 2, 3, 4, 5, 6, 7}, "City": {1}, "Town": {2, 3}, "Village": {4, 5, 6, 7}, "Road": {(1, 2), (1, 3), (2, 1), (2, 4), (2, 7), (3, 1), (3, 5), (3, 6), (4, 2), (5, 3), (6, 3), (7, 2)}, ">": {(1, 2), (1, 3), (1, 4), (1, 5), (1, 6), (1, 7), (2, 4), (2, 5), (2, 6), (2, 7), (3, 4), (3, 5), (3, 6), (3, 7)} }, { "DOMAIN": {1, 2, 3, 4, 5, 6, 7}, "City": {1}, "Town": {2, 3}, "Village": {4, 5, 6, 7}, "Road": {(1, 2), (1, 3), (2, 1), (2, 5), (2, 6), (3, 1), (3, 4), (3, 7), (4, 3), (5, 2), (6, 2), (7, 3)}, ">": {(1, 2), (1, 3), (1, 4), (1, 5), (1, 6), (1, 7), (2, 4), (2, 5), (2, 6), (2, 7), (3, 4), (3, 5), (3, 6), (3, 7)} }, { "DOMAIN": {1, 2, 3, 4, 5, 6, 7}, "City": {1}, "Town": {2, 3}, "Village": {4, 5, 6, 7}, "Road": {(1, 2), (1, 3), (2, 1), (2, 5), (2, 7), (3, 1), (3, 4), (3, 6), (4, 3), (5, 2), (6, 3), (7, 2)}, ">": {(1, 2), (1, 3), (1, 4), (1, 5), (1, 6), (1, 7), (2, 4), (2, 5), (2, 6), (2, 7), (3, 4), (3, 5), (3, 6), (3, 7)} }, { "DOMAIN": {1, 2, 3, 4, 5, 6, 7}, "City": {1}, "Town": {2, 3}, "Village": {4, 5, 6, 7}, "Road": {(1, 2), (1, 3), (2, 1), (2, 6), (2, 7), (3, 1), (3, 4), (3, 5), (4, 3), (5, 3), (6, 2), (7, 2)}, ">": {(1, 2), (1, 3), (1, 4), (1, 5), (1, 6), (1, 7), (2, 4), (2, 5), (2, 6), (2, 7), (3, 4), (3, 5), (3, 6), (3, 7)} }, { "DOMAIN": {1, 2, 3, 4, 5, 6, 7, 8}, "City": {1}, "Town": {2, 3}, "Village": {4, 5, 6, 7, 8}, "Road": {(1, 2), (1, 3), (1, 4), (2, 1), (2, 5), (2, 6), (3, 1), (3, 7), (3, 8), (4, 1), (5, 2), (6, 2), (7, 3), (8, 3)}, ">": {(1, 2), (1, 3), (1, 4), (1, 5), (1, 6), (1, 7), (1, 8), (2, 4), (2, 5), (2, 6), (2, 7), (2, 8), (3, 4), (3, 5), (3, 6), (3, 7), (3, 8)} }, {"DOMAIN": {1, 2, 3, 4, 5, 6, 7, 8}, "City": {1}, "Town": {2, 3}, "Village": {4, 5, 6, 7, 8}, "Road": {(1, 2), (1, 3), (1, 4), (2, 1), (2, 5), (2, 7), (3, 1), (3, 6), (3, 8), (4, 1), (5, 2), (6, 3), (7, 2), (8, 3)}, ">": {(1, 2), (1, 3), (1, 4), (1, 5), (1, 6), (1, 7), (1, 8), (2, 4), (2, 5), (2, 6), (2, 7), (2, 8), (3, 4), (3, 5), (3, 6), (3, 7), (3, 8)}}, {"DOMAIN": {1, 2, 3, 4, 5, 6, 7, 8}, "City": {1}, "Town": {2, 3}, "Village": {4, 5, 6, 7, 8}, "Road": {(1, 2), (1, 3), (1, 4), (2, 1), (2, 5), (2, 8), (3, 1), (3, 6), (3, 7), (4, 1), (5, 2), (6, 3), (7, 3), (8, 2)}, ">": {(1, 2), (1, 3), (1, 4), (1, 5), (1, 6), (1, 7), (1, 8), (2, 4), (2, 5), (2, 6), (2, 7), (2, 8), (3, 4), (3, 5), (3, 6), (3, 7), (3, 8)}}, {"DOMAIN": {1, 2, 3, 4, 5, 6, 7, 8}, "City": {1}, "Town": {2, 3}, "Village": {4, 5, 6, 7, 8}, "Road": {(1, 2), (1, 3), (1, 4), (2, 1), (2, 6), (2, 7), (3, 1), (3, 5), (3, 8), (4, 1), (5, 3), (6, 2), (7, 2), (8, 3)}, ">": {(1, 2), (1, 3), (1, 4), (1, 5), (1, 6), (1, 7), (1, 8), (2, 4), (2, 5), (2, 6), (2, 7), (2, 8), (3, 4), (3, 5), (3, 6), (3, 7), (3, 8)}}, {"DOMAIN": {1, 2, 3, 4, 5, 6, 7, 8}, "City": {1}, "Town": {2, 3}, "Village": {4, 5, 6, 7, 8}, "Road": {(1, 2), (1, 3), (1, 4), (2, 1), (2, 6), (2, 8), (3, 1), (3, 5), (3, 7), (4, 1), (5, 3), (6, 2), (7, 3), (8, 2)}, ">": {(1, 2), (1, 3), (1, 4), (1, 5), (1, 6), (1, 7), (1, 8), (2, 4), (2, 5), (2, 6), (2, 7), (2, 8), (3, 4), (3, 5), (3, 6), (3, 7), (3, 8)}}, {"DOMAIN": {1, 2, 3, 4, 5, 6, 7, 8}, "City": {1}, "Town": {2, 3}, "Village": {4, 5, 6, 7, 8}, "Road": {(1, 2), (1, 3), (1, 4), (2, 1), (2, 7), (2, 8), (3, 1), (3, 5), (3, 6), (4, 1), (5, 3), (6, 3), (7, 2), (8, 2)}, ">": {(1, 2), (1, 3), (1, 4), (1, 5), (1, 6), (1, 7), (1, 8), (2, 4), (2, 5), (2, 6), (2, 7), (2, 8), (3, 4), (3, 5), (3, 6), (3, 7), (3, 8)}}, {"DOMAIN": {1, 2, 3, 4, 5, 6, 7, 8}, "City": {1}, "Town": {2, 3}, "Village": {4, 5, 6, 7, 8}, "Road": {(1, 2), (1, 3), (1, 5), (2, 1), (2, 4), (2, 6), (3, 1), (3, 7), (3, 8), (4, 2), (5, 1), (6, 2), (7, 3), (8, 3)}, ">": {(1, 2), (1, 3), (1, 4), (1, 5), (1, 6), (1, 7), (1, 8), (2, 4), (2, 5), (2, 6), (2, 7), (2, 8), (3, 4), (3, 5), (3, 6), (3, 7), (3, 8)}}, {"DOMAIN": {1, 2, 3, 4, 5, 6, 7, 8}, "City": {1}, "Town": {2, 3}, "Village": {4, 5, 6, 7, 8}, "Road": {(1, 2), (1, 3), (1, 5), (2, 1), (2, 4), (2, 7), (3, 1), (3, 6), (3, 8), (4, 2), (5, 1), (6, 3), (7, 2), (8, 3)}, ">": {(1, 2), (1, 3), (1, 4), (1, 5), (1, 6), (1, 7), (1, 8), (2, 4), (2, 5), (2, 6), (2, 7), (2, 8), (3, 4), (3, 5), (3, 6), (3, 7), (3, 8)}}, {"DOMAIN": {1, 2, 3, 4, 5, 6, 7, 8}, "City": {1}, "Town": {2, 3}, "Village": {4, 5, 6, 7, 8}, "Road": {(1, 2), (1, 3), (1, 5), (2, 1), (2, 4), (2, 8), (3, 1), (3, 6), (3, 7), (4, 2), (5, 1), (6, 3), (7, 3), (8, 2)}, ">": {(1, 2), (1, 3), (1, 4), (1, 5), (1, 6), (1, 7), (1, 8), (2, 4), (2, 5), (2, 6), (2, 7), (2, 8), (3, 4), (3, 5), (3, 6), (3, 7), (3, 8)}}, {"DOMAIN": {1, 2, 3, 4, 5, 6, 7, 8}, "City": {1}, "Town": {2, 3}, "Village": {4, 5, 6, 7, 8}, "Road": {(1, 2), (1, 3), (1, 5), (2, 1), (2, 6), (2, 7), (3, 1), (3, 4), (3, 8), (4, 3), (5, 1), (6, 2), (7, 2), (8, 3)}, ">": {(1, 2), (1, 3), (1, 4), (1, 5), (1, 6), (1, 7), (1, 8), (2, 4), (2, 5), (2, 6), (2, 7), (2, 8), (3, 4), (3, 5), (3, 6), (3, 7), (3, 8)}}, {"DOMAIN": {1, 2, 3, 4, 5, 6, 7, 8}, "City": {1}, "Town": {2, 3}, "Village": {4, 5, 6, 7, 8}, "Road": {(1, 2), (1, 3), (1, 5), (2, 1), (2, 6), (2, 8), (3, 1), (3, 4), (3, 7), (4, 3), (5, 1), (6, 2), (7, 3), (8, 2)}, ">": {(1, 2), (1, 3), (1, 4), (1, 5), (1, 6), (1, 7), (1, 8), (2, 4), (2, 5), (2, 6), (2, 7), (2, 8), (3, 4), (3, 5), (3, 6), (3, 7), (3, 8)}}, {"DOMAIN": {1, 2, 3, 4, 5, 6, 7, 8}, "City": {1}, "Town": {2, 3}, "Village": {4, 5, 6, 7, 8}, "Road": {(1, 2), (1, 3), (1, 5), (2, 1), (2, 7), (2, 8), (3, 1), (3, 4), (3, 6), (4, 3), (5, 1), (6, 3), (7, 2), (8, 2)}, ">": {(1, 2), (1, 3), (1, 4), (1, 5), (1, 6), (1, 7), (1, 8), (2, 4), (2, 5), (2, 6), (2, 7), (2, 8), (3, 4), (3, 5), (3, 6), (3, 7), (3, 8)}}, {"DOMAIN": {1, 2, 3, 4, 5, 6, 7, 8}, "City": {1}, "Town": {2, 3}, "Village": {4, 5, 6, 7, 8}, "Road": {(1, 2), (1, 3), (1, 6), (2, 1), (2, 4), (2, 5), (3, 1), (3, 7), (3, 8), (4, 2), (5, 2), (6, 1), (7, 3), (8, 3)}, ">": {(1, 2), (1, 3), (1, 4), (1, 5), (1, 6), (1, 7), (1, 8), (2, 4), (2, 5), (2, 6), (2, 7), (2, 8), (3, 4), (3, 5), (3, 6), (3, 7), (3, 8)}}, {"DOMAIN": {1, 2, 3, 4, 5, 6, 7, 8}, "City": {1}, "Town": {2, 3}, "Village": {4, 5, 6, 7, 8}, "Road": {(1, 2), (1, 3), (1, 6), (2, 1), (2, 4), (2, 7), (3, 1), (3, 5), (3, 8), (4, 2), (5, 3), (6, 1), (7, 2), (8, 3)}, ">": {(1, 2), (1, 3), (1, 4), (1, 5), (1, 6), (1, 7), (1, 8), (2, 4), (2, 5), (2, 6), (2, 7), (2, 8), (3, 4), (3, 5), (3, 6), (3, 7), (3, 8)}}, {"DOMAIN": {1, 2, 3, 4, 5, 6, 7, 8}, "City": {1}, "Town": {2, 3}, "Village": {4, 5, 6, 7, 8}, "Road": {(1, 2), (1, 3), (1, 6), (2, 1), (2, 4), (2, 8), (3, 1), (3, 5), (3, 7), (4, 2), (5, 3), (6, 1), (7, 3), (8, 2)}, ">": {(1, 2), (1, 3), (1, 4), (1, 5), (1, 6), (1, 7), (1, 8), (2, 4), (2, 5), (2, 6), (2, 7), (2, 8), (3, 4), (3, 5), (3, 6), (3, 7), (3, 8)}}, {"DOMAIN": {1, 2, 3, 4, 5, 6, 7, 8}, "City": {1}, "Town": {2, 3}, "Village": {4, 5, 6, 7, 8}, "Road": {(1, 2), (1, 3), (1, 6), (2, 1), (2, 5), (2, 7), (3, 1), (3, 4), (3, 8), (4, 3), (5, 2), (6, 1), (7, 2), (8, 3)}, ">": {(1, 2), (1, 3), (1, 4), (1, 5), (1, 6), (1, 7), (1, 8), (2, 4), (2, 5), (2, 6), (2, 7), (2, 8), (3, 4), (3, 5), (3, 6), (3, 7), (3, 8)}}, {"DOMAIN": {1, 2, 3, 4, 5, 6, 7, 8}, "City": {1}, "Town": {2, 3}, "Village": {4, 5, 6, 7, 8}, "Road": {(1, 2), (1, 3), (1, 6), (2, 1), (2, 5), (2, 8), (3, 1), (3, 4), (3, 7), (4, 3), (5, 2), (6, 1), (7, 3), (8, 2)}, ">": {(1, 2), (1, 3), (1, 4), (1, 5), (1, 6), (1, 7), (1, 8), (2, 4), (2, 5), (2, 6), (2, 7), (2, 8), (3, 4), (3, 5), (3, 6), (3, 7), (3, 8)}}, {"DOMAIN": {1, 2, 3, 4, 5, 6, 7, 8}, "City": {1}, "Town": {2, 3}, "Village": {4, 5, 6, 7, 8}, "Road": {(1, 2), (1, 3), (1, 6), (2, 1), (2, 7), (2, 8), (3, 1), (3, 4), (3, 5), (4, 3), (5, 3), (6, 1), (7, 2), (8, 2)}, ">": {(1, 2), (1, 3), (1, 4), (1, 5), (1, 6), (1, 7), (1, 8), (2, 4), (2, 5), (2, 6), (2, 7), (2, 8), (3, 4), (3, 5), (3, 6), (3, 7), (3, 8)}}, {"DOMAIN": {1, 2, 3, 4, 5, 6, 7, 8}, "City": {1}, "Town": {2, 3}, "Village": {4, 5, 6, 7, 8}, "Road": {(1, 2), (1, 3), (1, 7), (2, 1), (2, 4), (2, 5), (3, 1), (3, 6), (3, 8), (4, 2), (5, 2), (6, 3), (7, 1), (8, 3)}, ">": {(1, 2), (1, 3), (1, 4), (1, 5), (1, 6), (1, 7), (1, 8), (2, 4), (2, 5), (2, 6), (2, 7), (2, 8), (3, 4), (3, 5), (3, 6), (3, 7), (3, 8)}}, {"DOMAIN": {1, 2, 3, 4, 5, 6, 7, 8}, "City": {1}, "Town": {2, 3}, "Village": {4, 5, 6, 7, 8}, "Road": {(1, 2), (1, 3), (1, 7), (2, 1), (2, 4), (2, 6), (3, 1), (3, 5), (3, 8), (4, 2), (5, 3), (6, 2), (7, 1), (8, 3)}, ">": {(1, 2), (1, 3), (1, 4), (1, 5), (1, 6), (1, 7), (1, 8), (2, 4), (2, 5), (2, 6), (2, 7), (2, 8), (3, 4), (3, 5), (3, 6), (3, 7), (3, 8)}}, {"DOMAIN": {1, 2, 3, 4, 5, 6, 7, 8}, "City": {1}, "Town": {2, 3}, "Village": {4, 5, 6, 7, 8}, "Road": {(1, 2), (1, 3), (1, 7), (2, 1), (2, 4), (2, 8), (3, 1), (3, 5), (3, 6), (4, 2), (5, 3), (6, 3), (7, 1), (8, 2)}, ">": {(1, 2), (1, 3), (1, 4), (1, 5), (1, 6), (1, 7), (1, 8), (2, 4), (2, 5), (2, 6), (2, 7), (2, 8), (3, 4), (3, 5), (3, 6), (3, 7), (3, 8)}}, {"DOMAIN": {1, 2, 3, 4, 5, 6, 7, 8}, "City": {1}, "Town": {2, 3}, "Village": {4, 5, 6, 7, 8}, "Road": {(1, 2), (1, 3), (1, 7), (2, 1), (2, 5), (2, 6), (3, 1), (3, 4), (3, 8), (4, 3), (5, 2), (6, 2), (7, 1), (8, 3)}, ">": {(1, 2), (1, 3), (1, 4), (1, 5), (1, 6), (1, 7), (1, 8), (2, 4), (2, 5), (2, 6), (2, 7), (2, 8), (3, 4), (3, 5), (3, 6), (3, 7), (3, 8)}}, {"DOMAIN": {1, 2, 3, 4, 5, 6, 7, 8}, "City": {1}, "Town": {2, 3}, "Village": {4, 5, 6, 7, 8}, "Road": {(1, 2), (1, 3), (1, 7), (2, 1), (2, 5), (2, 8), (3, 1), (3, 4), (3, 6), (4, 3), (5, 2), (6, 3), (7, 1), (8, 2)}, ">": {(1, 2), (1, 3), (1, 4), (1, 5), (1, 6), (1, 7), (1, 8), (2, 4), (2, 5), (2, 6), (2, 7), (2, 8), (3, 4), (3, 5), (3, 6), (3, 7), (3, 8)}}, {"DOMAIN": {1, 2, 3, 4, 5, 6, 7, 8}, "City": {1}, "Town": {2, 3}, "Village": {4, 5, 6, 7, 8}, "Road": {(1, 2), (1, 3), (1, 7), (2, 1), (2, 6), (2, 8), (3, 1), (3, 4), (3, 5), (4, 3), (5, 3), (6, 2), (7, 1), (8, 2)}, ">": {(1, 2), (1, 3), (1, 4), (1, 5), (1, 6), (1, 7), (1, 8), (2, 4), (2, 5), (2, 6), (2, 7), (2, 8), (3, 4), (3, 5), (3, 6), (3, 7), (3, 8)}}, {"DOMAIN": {1, 2, 3, 4, 5, 6, 7, 8}, "City": {1}, "Town": {2, 3}, "Village": {4, 5, 6, 7, 8}, "Road": {(1, 2), (1, 3), (1, 8), (2, 1), (2, 4), (2, 5), (3, 1), (3, 6), (3, 7), (4, 2), (5, 2), (6, 3), (7, 3), (8, 1)}, ">": {(1, 2), (1, 3), (1, 4), (1, 5), (1, 6), (1, 7), (1, 8), (2, 4), (2, 5), (2, 6), (2, 7), (2, 8), (3, 4), (3, 5), (3, 6), (3, 7), (3, 8)}}, {"DOMAIN": {1, 2, 3, 4, 5, 6, 7, 8}, "City": {1}, "Town": {2, 3}, "Village": {4, 5, 6, 7, 8}, "Road": {(1, 2), (1, 3), (1, 8), (2, 1), (2, 4), (2, 6), (3, 1), (3, 5), (3, 7), (4, 2), (5, 3), (6, 2), (7, 3), (8, 1)}, ">": {(1, 2), (1, 3), (1, 4), (1, 5), (1, 6), (1, 7), (1, 8), (2, 4), (2, 5), (2, 6), (2, 7), (2, 8), (3, 4), (3, 5), (3, 6), (3, 7), (3, 8)}}, {"DOMAIN": {1, 2, 3, 4, 5, 6, 7, 8}, "City": {1}, "Town": {2, 3}, "Village": {4, 5, 6, 7, 8}, "Road": {(1, 2), (1, 3), (1, 8), (2, 1), (2, 4), (2, 7), (3, 1), (3, 5), (3, 6), (4, 2), (5, 3), (6, 3), (7, 2), (8, 1)}, ">": {(1, 2), (1, 3), (1, 4), (1, 5), (1, 6), (1, 7), (1, 8), (2, 4), (2, 5), (2, 6), (2, 7), (2, 8), (3, 4), (3, 5), (3, 6), (3, 7), (3, 8)}}, {"DOMAIN": 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(6, 2), (7, 4), (8, 4), (9, 3), (10, 2)}, ">": {(1, 2), (1, 3), (1, 4), (1, 5), (1, 6), (1, 7), (1, 8), (1, 9), (1, 10), (2, 5), (2, 6), (2, 7), (2, 8), (2, 9), (2, 10), (3, 5), (3, 6), (3, 7), (3, 8), (3, 9), (3, 10), (4, 5), (4, 6), (4, 7), (4, 8), (4, 9), (4, 10)}}, {"DOMAIN": {1, 2, 3, 4, 5, 6, 7, 8, 9, 10}, "City": {1}, "Town": {2, 3, 4}, "Village": {5, 6, 7, 8, 9, 10}, "Road": {(1, 2), (1, 3), (1, 4), (2, 1), (2, 6), (2, 10), (3, 1), (3, 7), (3, 8), (4, 1), (4, 5), (4, 10), (5, 4), (6, 2), (7, 3), (8, 3), (10, 2), (10, 4)}, ">": {(1, 2), (1, 3), (1, 4), (1, 5), (1, 6), (1, 7), (1, 8), (1, 9), (1, 10), (2, 5), (2, 6), (2, 7), (2, 8), (2, 9), (2, 10), (3, 5), (3, 6), (3, 7), (3, 8), (3, 9), (3, 10), (4, 5), (4, 6), (4, 7), (4, 8), (4, 9), (4, 10)}}, {"DOMAIN": {1, 2, 3, 4, 5, 6, 7, 8, 9, 10}, "City": {1}, "Town": {2, 3, 4}, "Village": {5, 6, 7, 8, 9, 10}, "Road": {(1, 2), (1, 3), (1, 4), (2, 1), (2, 6), (2, 10), (3, 1), (3, 7), (3, 8), (4, 1), (4, 9), (4, 10), (6, 2), (7, 3), (8, 3), (9, 4), (10, 2), (10, 4)}, ">": {(1, 2), (1, 3), (1, 4), (1, 5), (1, 6), (1, 7), (1, 8), (1, 9), (1, 10), (2, 5), (2, 6), (2, 7), (2, 8), (2, 9), (2, 10), (3, 5), (3, 6), (3, 7), (3, 8), (3, 9), (3, 10), (4, 5), (4, 6), (4, 7), (4, 8), (4, 9), (4, 10)}}, {"DOMAIN": {1, 2, 3, 4, 5, 6, 7, 8, 9, 10}, "City": {1}, "Town": {2, 3, 4}, "Village": {5, 6, 7, 8, 9, 10}, "Road": {(1, 2), (1, 3), (1, 4), (2, 1), (2, 6), (2, 10), (3, 1), (3, 7), (3, 8), (4, 1), (4, 5), (4, 9), (5, 4), (6, 2), (7, 3), (8, 3), (9, 4), (10, 2)}, ">": {(1, 2), (1, 3), (1, 4), (1, 5), (1, 6), (1, 7), (1, 8), (1, 9), (1, 10), (2, 5), (2, 6), (2, 7), (2, 8), (2, 9), (2, 10), (3, 5), (3, 6), (3, 7), (3, 8), (3, 9), (3, 10), (4, 5), (4, 6), (4, 7), (4, 8), (4, 9), (4, 10)}}, {"DOMAIN": {1, 2, 3, 4, 5, 6, 7, 8, 9, 10}, "City": {1}, "Town": {2, 3, 4}, "Village": {5, 6, 7, 8, 9, 10}, "Road": {(1, 2), (1, 3), (1, 4), (2, 1), (2, 6), (2, 10), (3, 1), (3, 7), (3, 9), (4, 1), (4, 5), (4, 10), (5, 4), (6, 2), (7, 3), (9, 3), (10, 2), (10, 4)}, ">": {(1, 2), (1, 3), (1, 4), (1, 5), (1, 6), (1, 7), (1, 8), (1, 9), (1, 10), (2, 5), (2, 6), (2, 7), (2, 8), (2, 9), (2, 10), (3, 5), (3, 6), (3, 7), (3, 8), (3, 9), (3, 10), (4, 5), (4, 6), (4, 7), (4, 8), (4, 9), (4, 10)}}, {"DOMAIN": {1, 2, 3, 4, 5, 6, 7, 8, 9, 10}, "City": {1}, "Town": {2, 3, 4}, "Village": {5, 6, 7, 8, 9, 10}, "Road": {(1, 2), (1, 3), (1, 4), (2, 1), (2, 6), (2, 10), (3, 1), (3, 7), (3, 9), (4, 1), (4, 8), (4, 10), (6, 2), (7, 3), (8, 4), (9, 3), (10, 2), (10, 4)}, ">": {(1, 2), (1, 3), (1, 4), (1, 5), (1, 6), (1, 7), (1, 8), (1, 9), (1, 10), (2, 5), (2, 6), (2, 7), (2, 8), (2, 9), (2, 10), (3, 5), (3, 6), (3, 7), (3, 8), (3, 9), (3, 10), (4, 5), (4, 6), (4, 7), (4, 8), (4, 9), (4, 10)}}, {"DOMAIN": {1, 2, 3, 4, 5, 6, 7, 8, 9, 10}, "City": {1}, "Town": {2, 3, 4}, "Village": {5, 6, 7, 8, 9, 10}, "Road": {(1, 2), (1, 3), (1, 4), (2, 1), (2, 6), (2, 10), (3, 1), (3, 7), (3, 9), (4, 1), (4, 5), (4, 8), (5, 4), (6, 2), (7, 3), (8, 4), (9, 3), (10, 2)}, ">": {(1, 2), (1, 3), (1, 4), (1, 5), (1, 6), (1, 7), (1, 8), (1, 9), (1, 10), (2, 5), (2, 6), (2, 7), (2, 8), (2, 9), (2, 10), (3, 5), (3, 6), (3, 7), (3, 8), (3, 9), (3, 10), (4, 5), (4, 6), (4, 7), (4, 8), (4, 9), (4, 10)}}, {"DOMAIN": {1, 2, 3, 4, 5, 6, 7, 8, 9, 10}, "City": {1}, "Town": {2, 3, 4}, "Village": {5, 6, 7, 8, 9, 10}, "Road": {(1, 2), (1, 3), (1, 4), (2, 1), (2, 6), (2, 10), (3, 1), (3, 8), (3, 9), (4, 1), (4, 5), (4, 10), (5, 4), (6, 2), (8, 3), (9, 3), (10, 2), (10, 4)}, ">": {(1, 2), (1, 3), (1, 4), (1, 5), (1, 6), (1, 7), (1, 8), (1, 9), (1, 10), (2, 5), (2, 6), (2, 7), (2, 8), (2, 9), (2, 10), (3, 5), (3, 6), (3, 7), (3, 8), (3, 9), (3, 10), (4, 5), (4, 6), (4, 7), (4, 8), (4, 9), (4, 10)}}, {"DOMAIN": {1, 2, 3, 4, 5, 6, 7, 8, 9, 10}, "City": {1}, "Town": {2, 3, 4}, "Village": {5, 6, 7, 8, 9, 10}, "Road": {(1, 2), (1, 3), (1, 4), (2, 1), (2, 6), (2, 10), (3, 1), (3, 8), (3, 9), (4, 1), (4, 7), (4, 10), (6, 2), (7, 4), (8, 3), (9, 3), (10, 2), (10, 4)}, ">": {(1, 2), (1, 3), (1, 4), (1, 5), (1, 6), (1, 7), (1, 8), (1, 9), (1, 10), (2, 5), (2, 6), (2, 7), (2, 8), (2, 9), (2, 10), (3, 5), (3, 6), (3, 7), (3, 8), (3, 9), (3, 10), (4, 5), (4, 6), (4, 7), (4, 8), (4, 9), (4, 10)}}, {"DOMAIN": {1, 2, 3, 4, 5, 6, 7, 8, 9, 10}, "City": {1}, "Town": {2, 3, 4}, "Village": {5, 6, 7, 8, 9, 10}, "Road": {(1, 2), (1, 3), (1, 4), (2, 1), (2, 6), (2, 10), (3, 1), (3, 8), (3, 9), (4, 1), (4, 5), (4, 7), (5, 4), (6, 2), (7, 4), (8, 3), (9, 3), (10, 2)}, ">": {(1, 2), (1, 3), (1, 4), (1, 5), (1, 6), (1, 7), (1, 8), (1, 9), (1, 10), (2, 5), (2, 6), (2, 7), (2, 8), (2, 9), (2, 10), (3, 5), (3, 6), (3, 7), (3, 8), (3, 9), (3, 10), (4, 5), (4, 6), (4, 7), (4, 8), (4, 9), (4, 10)}}, {"DOMAIN": {1, 2, 3, 4, 5, 6, 7, 8, 9, 10}, "City": {1}, "Town": {2, 3, 4}, "Village": {5, 6, 7, 8, 9, 10}, "Road": {(1, 2), (1, 3), (1, 4), (2, 1), (2, 7), (2, 10), (3, 1), (3, 5), (3, 10), (4, 1), (4, 6), (4, 10), (5, 3), (6, 4), (7, 2), (10, 2), (10, 3), (10, 4)}, ">": {(1, 2), (1, 3), (1, 4), (1, 5), (1, 6), (1, 7), (1, 8), (1, 9), (1, 10), (2, 5), (2, 6), (2, 7), (2, 8), (2, 9), (2, 10), (3, 5), (3, 6), (3, 7), (3, 8), (3, 9), (3, 10), (4, 5), (4, 6), (4, 7), (4, 8), (4, 9), (4, 10)}}, {"DOMAIN": {1, 2, 3, 4, 5, 6, 7, 8, 9, 10}, "City": {1}, "Town": {2, 3, 4}, "Village": {5, 6, 7, 8, 9, 10}, "Road": {(1, 2), (1, 3), (1, 4), (2, 1), (2, 7), (2, 10), (3, 1), (3, 5), (3, 10), (4, 1), (4, 8), (4, 10), (5, 3), (7, 2), (8, 4), (10, 2), (10, 3), (10, 4)}, ">": {(1, 2), (1, 3), (1, 4), (1, 5), (1, 6), (1, 7), (1, 8), (1, 9), (1, 10), (2, 5), (2, 6), (2, 7), (2, 8), (2, 9), (2, 10), (3, 5), (3, 6), (3, 7), (3, 8), (3, 9), (3, 10), (4, 5), (4, 6), (4, 7), (4, 8), (4, 9), (4, 10)}}, {"DOMAIN": {1, 2, 3, 4, 5, 6, 7, 8, 9, 10}, "City": {1}, "Town": {2, 3, 4}, "Village": {5, 6, 7, 8, 9, 10}, "Road": {(1, 2), (1, 3), (1, 4), (2, 1), (2, 7), (2, 10), (3, 1), (3, 5), (3, 10), (4, 1), (4, 9), (4, 10), (5, 3), (7, 2), (9, 4), (10, 2), (10, 3), (10, 4)}, ">": {(1, 2), (1, 3), (1, 4), (1, 5), (1, 6), (1, 7), (1, 8), (1, 9), (1, 10), (2, 5), (2, 6), (2, 7), (2, 8), (2, 9), (2, 10), (3, 5), (3, 6), (3, 7), (3, 8), (3, 9), (3, 10), (4, 5), (4, 6), (4, 7), (4, 8), (4, 9), (4, 10)}}, {"DOMAIN": {1, 2, 3, 4, 5, 6, 7, 8, 9, 10}, "City": {1}, "Town": {2, 3, 4}, "Village": {5, 6, 7, 8, 9, 10}, "Road": {(1, 2), (1, 3), (1, 4), (2, 1), (2, 7), (2, 10), (3, 1), (3, 5), (3, 10), (4, 1), (4, 6), (4, 8), (5, 3), (6, 4), (7, 2), (8, 4), (10, 2), (10, 3)}, ">": {(1, 2), (1, 3), (1, 4), (1, 5), (1, 6), (1, 7), (1, 8), (1, 9), (1, 10), (2, 5), (2, 6), (2, 7), (2, 8), (2, 9), (2, 10), (3, 5), (3, 6), (3, 7), (3, 8), (3, 9), (3, 10), (4, 5), (4, 6), (4, 7), (4, 8), (4, 9), (4, 10)}}, {"DOMAIN": {1, 2, 3, 4, 5, 6, 7, 8, 9, 10}, "City": {1}, "Town": {2, 3, 4}, "Village": {5, 6, 7, 8, 9, 10}, "Road": {(1, 2), (1, 3), (1, 4), (2, 1), (2, 7), (2, 10), (3, 1), (3, 5), (3, 10), (4, 1), (4, 6), (4, 9), (5, 3), (6, 4), (7, 2), (9, 4), (10, 2), (10, 3)}, ">": {(1, 2), (1, 3), (1, 4), (1, 5), (1, 6), (1, 7), (1, 8), (1, 9), (1, 10), (2, 5), (2, 6), (2, 7), (2, 8), (2, 9), (2, 10), (3, 5), (3, 6), (3, 7), (3, 8), (3, 9), (3, 10), (4, 5), (4, 6), (4, 7), (4, 8), (4, 9), (4, 10)}}, {"DOMAIN": {1, 2, 3, 4, 5, 6, 7, 8, 9, 10}, "City": {1}, "Town": {2, 3, 4}, "Village": {5, 6, 7, 8, 9, 10}, "Road": {(1, 2), (1, 3), (1, 4), (2, 1), (2, 7), (2, 10), (3, 1), (3, 5), (3, 10), (4, 1), (4, 8), (4, 9), (5, 3), (7, 2), (8, 4), (9, 4), (10, 2), (10, 3)}, ">": {(1, 2), (1, 3), (1, 4), (1, 5), (1, 6), (1, 7), (1, 8), (1, 9), (1, 10), (2, 5), (2, 6), (2, 7), (2, 8), (2, 9), (2, 10), (3, 5), (3, 6), (3, 7), (3, 8), (3, 9), (3, 10), (4, 5), (4, 6), (4, 7), (4, 8), (4, 9), (4, 10)}}] nodes = [] links = [] for i in range(len(MODELS)-200): m = "m_"+str(i)+"_" model = MODELS[i] city_nodes = model['City'] town_nodes = model['Town'] village_nodes = model['Village'] road_nodes = model['Road'] for c in city_nodes: cnode = {"name": m+str(c), "symbolSize": 66, "itemStyle": {"normal": {"color": "red"}}} nodes.append(cnode) for t in town_nodes: tnode = {"name": m+str(t), "symbolSize": 30, "itemStyle": {"normal": {"color": "blue"}}} nodes.append(tnode) for v in village_nodes: vnode = {"name": m+str(v), "symbolSize": 10, "itemStyle": {"normal": {"color": "green"}}} nodes.append(vnode) for r in road_nodes: links.append({"source": m+str(r[0]), "target": m+str(r[1])}) graph = ( Graph(init_opts = opts.InitOpts(width="1500px", height="1000px")) .add("", nodes, links, repulsion=8000) .set_global_opts( title_opts=opts.TitleOpts(title="Graph-基本示例")) ) graph.render()

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9b1292b5b8b0ac1552eda827ef2f57f96c640413

292

py

Python

tests/expectations/admit-x-dept-unweighted-col-prop-moe.py

Crunch-io/crunch-cube

80986d5b2106c774f05176fb6c6a5ea0d840f09d

[ "MIT" ]

3

2021-01-22T20:42:31.000Z

2021-06-02T17:53:19.000Z

tests/expectations/admit-x-dept-unweighted-col-prop-moe.py

Crunch-io/crunch-cube

80986d5b2106c774f05176fb6c6a5ea0d840f09d

[ "MIT" ]

331

2017-11-13T22:41:56.000Z

2021-12-02T21:59:43.000Z

tests/expectations/admit-x-dept-unweighted-col-prop-moe.py

Crunch-io/crunch-cube

80986d5b2106c774f05176fb6c6a5ea0d840f09d

[ "MIT" ]

1

2021-02-19T02:49:00.000Z

[ [ 0.0307207565, 0.0390691882, 0.030869894, 0.0329827837, 0.0351988285, 0.0180081013, ], [ 0.0307207565, 0.0390691882, 0.030869894, 0.0329827837, 0.0351988285, 0.0180081013, ], ]

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9e4d1a31ffeeccb500dce05c2f0895fbd3a5a145

533

py

Python

clakerbu/log_stuff.py

Machiry/clakerbu

8d91ea75dfbcf957ee2a6912940b801cb7ffddb4

[ "BSD-2-Clause" ]

2

2019-01-21T09:21:05.000Z

2019-09-16T07:36:33.000Z

clakerbu/log_stuff.py

Machiry/clakerbu

8d91ea75dfbcf957ee2a6912940b801cb7ffddb4

[ "BSD-2-Clause" ]

null

clakerbu/log_stuff.py

Machiry/clakerbu

8d91ea75dfbcf957ee2a6912940b801cb7ffddb4

[ "BSD-2-Clause" ]

null

def log_info(*args): log_str = "[*] " for curr_a in args: log_str = log_str + " " + str(curr_a) print log_str def log_error(*args): log_str = "[!] " for curr_a in args: log_str = log_str + " " + str(curr_a) print log_str def log_warning(*args): log_str = "[?] " for curr_a in args: log_str = log_str + " " + str(curr_a) print log_str def log_success(*args): log_str = "[+] " for curr_a in args: log_str = log_str + " " + str(curr_a) print log_str

19.740741

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533

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10

9e5b0ec4d4c3d06377afd0f795e63fcc8322caaa

39,488

py

Python

tschartslib/consent/consent.py

DaleProctor/tscharts

5447395e0aef0b949bef8426febdec2093cf37ef

[ "Apache-2.0" ]

16

2016-08-17T21:39:10.000Z

2021-11-24T12:14:28.000Z

tschartslib/consent/consent.py

DaleProctor/tscharts

5447395e0aef0b949bef8426febdec2093cf37ef

[ "Apache-2.0" ]

55

2017-04-23T18:12:04.000Z

2021-08-08T08:25:18.000Z

tschartslib/consent/consent.py

DaleProctor/tscharts

5447395e0aef0b949bef8426febdec2093cf37ef

[ "Apache-2.0" ]

8

2017-08-11T02:11:46.000Z

2021-07-06T22:58:42.000Z

#(C) Copyright Syd Logan 2017-2020 #(C) Copyright Thousand Smiles Foundation 2017-2020 # #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. ''' unit tests for consent application. Assumes django server is up and running on the specific host and port ''' import unittest import getopt, sys import json from tschartslib.service.serviceapi import ServiceAPI from tschartslib.tscharts.tscharts import Login, Logout from tschartslib.patient.patient import CreatePatient, DeletePatient from tschartslib.clinic.clinic import CreateClinic, DeleteClinic from tschartslib.register.register import CreateRegistration, GetRegistration, UpdateRegistration, DeleteRegistration class CreateConsent(ServiceAPI): def __init__(self, host, port, token, payload): super(CreateConsent, self).__init__() self.setHttpMethod("POST") self.setHost(host) self.setPort(port) self.setToken(token) self.setPayload(payload) self.setURL("tscharts/v1/consent/") class GetConsent(ServiceAPI): def makeURL(self): hasQArgs = False if not self._id == None: base = "tscharts/v1/consent/{}/".format(self._id) else: base = "tscharts/v1/consent/" if not self._registrationid == None: if not hasQArgs: base += "?" else: base += "&" base += "registration={}".format(self._registrationid) hasQArgs = True if not self._patientid == None: if not hasQArgs: base += "?" else: base += "&" base += "patient={}".format(self._patientid) hasQArgs = True if not self._clinicid == None: if not hasQArgs: base += "?" else: base += "&" base += "clinic={}".format(self._clinicid) hasQArgs = True self.setURL(base) def __init__(self, host, port, token): super(GetConsent, self).__init__() self.setHttpMethod("GET") self.setHost(host) self.setPort(port) self.setToken(token) self._id = None self._registrationid = None self._clinicid = None self._patientid = None self.makeURL(); def setId(self, id): self._id = id; self.makeURL() def setRegistration(self, registration): self._registrationid = registration self.makeURL() def setPatient(self, patient): self._patientid = patient self.makeURL() def setClinic(self, clinic): self._clinicid = clinic self.makeURL() class DeleteConsent(ServiceAPI): def __init__(self, host, port, token, id): super(DeleteConsent, self).__init__() self.setHttpMethod("DELETE") self.setHost(host) self.setPort(port) self.setToken(token) self.setURL("tscharts/v1/consent/{}/".format(id)) class testTSConsent(unittest.TestCase): def setUp(self): login = Login(host, port, username, password) ret = login.send(timeout=30) self.assertEqual(ret[0], 200) self.assertTrue("token" in ret[1]) global token token = ret[1]["token"] def testCreateConsent(self): x = CreateClinic(host, port, token, "Ensenada", "02/05/2016", "02/06/2016") ret = x.send(timeout=30) self.assertEqual(ret[0], 200) self.assertTrue("id" in ret[1]) clinicid = int(ret[1]["id"]) data = {} data["paternal_last"] = "abcd1234" data["maternal_last"] = "yyyyyy" data["first"] = "zzzzzzz" data["middle"] = "" data["suffix"] = "Jr." data["prefix"] = "" data["dob"] = "04/01/1962" data["gender"] = "Female" data["street1"] = "1234 First Ave" data["street2"] = "" data["city"] = "Ensenada" data["colonia"] = "" data["state"] = u"Baja California" data["phone1"] = "1-111-111-1111" data["phone2"] = "" data["email"] = "patient@example.com" data["emergencyfullname"] = "Maria Sanchez" data["emergencyphone"] = "1-222-222-2222" data["emergencyemail"] = "maria.sanchez@example.com" x = CreatePatient(host, port, token, data) ret = x.send(timeout=30) self.assertEqual(ret[0], 200) patientid = int(ret[1]["id"]) data = {} data["paternal_last"] = "1234abcd" data["maternal_last"] = "yyyyyy" data["first"] = "zzzzzzz" data["middle"] = "" data["suffix"] = "Jr." data["prefix"] = "" data["dob"] = "04/01/1962" data["gender"] = "Female" data["street1"] = "1234 First Ave" data["street2"] = "" data["city"] = "Ensenada" data["colonia"] = "" data["state"] = u"Baja California" data["phone1"] = "1-111-111-1111" data["phone2"] = "" data["email"] = "patient@example.com" data["emergencyfullname"] = "Maria Sanchez" data["emergencyphone"] = "1-222-222-2222" data["emergencyemail"] = "maria.sanchez@example.com" x = CreatePatient(host, port, token, data) ret = x.send(timeout=30) self.assertEqual(ret[0], 200) patientid1 = int(ret[1]["id"]) x = CreateRegistration(host, port, token, patient=patientid, clinic=clinicid) ret = x.send(timeout=30) self.assertEqual(ret[0], 200) registrationid = int(ret[1]["id"]) data = {} data["registration"] = registrationid data["patient"] = patientid data["clinic"] = clinicid data["general_consent"] = True data["photo_consent"] = True x = CreateConsent(host, port, token, data) ret = x.send(timeout = 30) self.assertEqual(ret[0], 200) id = int(ret[1]["id"]) #get consent with consent id x = GetConsent(host, port, token) x.setId(id) ret = x.send(timeout = 30) self.assertEqual(ret[0],200) self.assertTrue("registration" in ret[1]) self.assertTrue("patient" in ret[1]) self.assertTrue("clinic" in ret[1]) registrationId = int(ret[1]["registration"]) self.assertTrue(registrationId == registrationid) clinicId = int(ret[1]["clinic"]) self.assertTrue(clinicId == clinicid) patientId = int(ret[1]["patient"]) self.assertTrue(patientId == patientid) data = ret[1] self.assertTrue("general_consent" in data) self.assertTrue("photo_consent" in data) self.assertTrue(data["general_consent"] == True) self.assertTrue(data["photo_consent"] == True) #get consent with registration id x = GetConsent(host, port, token) x.setRegistration(registrationid) ret = x.send(timeout = 30) self.assertEqual(ret[0], 200) self.assertEqual(len(ret[1]),1) data = ret[1][0] self.assertTrue("registration" in data) self.assertTrue("patient" in data) self.assertTrue("clinic" in data) registrationId = int(data["registration"]) self.assertTrue(registrationId == registrationid) clinicId = int(data["clinic"]) self.assertTrue(clinicId == clinicid) patientId = int(data["patient"]) self.assertTrue(patientId == patientid) self.assertTrue("general_consent" in data) self.assertTrue("photo_consent" in data) self.assertTrue(data["general_consent"] == True) self.assertTrue(data["photo_consent"] == True) x = DeleteConsent(host, port, token, id) ret = x.send(timeout = 30) self.assertEqual(ret[0], 200) x = GetConsent(host, port, token) x.setId(id) ret = x.send(timeout = 30) self.assertEqual(ret[0], 404) #non-exist after delete #non-exist registration data = {} data["registration"] = 9999 data["clinic"] = clinicid data["patient"] = patientid data["general_consent"] = True data["photo_consent"] = True x = CreateConsent(host, port, token, data) ret = x.send(timeout = 30) self.assertEqual(ret[0], 400) #non-exist patient data = {} data["registration"] = registrationid data["clinic"] = clinicid data["patient"] = 9999 data["general_consent"] = True data["photo_consent"] = True x = CreateConsent(host, port, token, data) ret = x.send(timeout = 30) self.assertEqual(ret[0], 400) #non-exist clinic data = {} data["registration"] = registrationid data["clinic"] = 9999 data["patient"] = patientid data["general_consent"] = True data["photo_consent"] = True x = CreateConsent(host, port, token, data) ret = x.send(timeout = 30) self.assertEqual(ret[0], 400) #invalid data boolean argu data = {} data["registration"] = registrationid data["patient"] = patientid data["clinic"] = clinicid data["general_consent"] = 123 data["photo_consent"] = 456 x = CreateConsent(host, port, token, data) ret = x.send(timeout = 30) self.assertEqual(ret[0], 400) data = {} data["registration"] = registrationid data["patient"] = patientid data["clinic"] = clinicid data["general_consent"] = "hello" data["photo_consent"] = "world" x = CreateConsent(host, port, token, data) ret = x.send(timeout = 30) self.assertEqual(ret[0], 400) #invalid field name data = {} data["registration"] = registrationid data["patient"] = patientid data["clinic"] = clinicid data["general_consent"] = True data["photo_consent"] = False data["hello_world"] = True x = CreateConsent(host, port, token, data) ret = x.send(timeout = 30) self.assertEqual(ret[0], 400) #not contain all the required fields data = {} data["registration"] = registrationid data["patient"] = patientid data["general_consent"] = True x = CreateConsent(host, port, token, data) ret = x.send(timeout = 30) self.assertEqual(ret[0], 400) #create consent that contains info that doesn't match data = {} data["registration"] = registrationid data["patient"] = patientid1 data["clinic"] = clinicid data["general_consent"] = True data["photo_consent"] = False x = CreateConsent(host, port, token, data) ret = x.send(timeout = 30) self.assertEqual(ret[0], 400) #duplicate consent info with same registration data = {} data["registration"] = registrationid data["patient"] = patientid data["clinic"] = clinicid data["general_consent"] = True data["photo_consent"] = False x = CreateConsent(host, port, token, data) ret = x.send(timeout = 30) self.assertEqual(ret[0], 200) id = int(ret[1]["id"]) data = {} data["registration"] = registrationid data["patient"] = patientid data["clinic"] = clinicid data["general_consent"] = False data["photo_consent"] = True x = CreateConsent(host, port, token, data) ret = x.send(timeout = 30) self.assertEqual(ret[0], 400) x = DeleteConsent(host, port, token, id) ret = x.send(timeout = 30) self.assertEqual(ret[0], 200) #delete registration, patient, clinic x = DeleteRegistration(host, port, token, registrationid) ret = x.send(timeout = 30) self.assertEqual(ret[0], 200) x = DeletePatient(host, port, token, patientid) ret = x.send(timeout = 30) self.assertEqual(ret[0], 200) x = DeletePatient(host, port, token, patientid1) ret = x.send(timeout = 30) self.assertEqual(ret[0], 200) x = DeleteClinic(host, port, token, clinicid) ret = x.send(timeout = 30) self.assertEqual(ret[0], 200) def testDeleteConsent(self): x = CreateClinic(host, port, token, "Ensenada", "02/05/2016", "02/06/2016") ret = x.send(timeout=30) self.assertEqual(ret[0], 200) self.assertTrue("id" in ret[1]) clinicid = int(ret[1]["id"]) data = {} data["paternal_last"] = "abcd1234" data["maternal_last"] = "yyyyyy" data["first"] = "zzzzzzz" data["middle"] = "" data["suffix"] = "Jr." data["prefix"] = "" data["dob"] = "04/01/1962" data["gender"] = "Female" data["street1"] = "1234 First Ave" data["street2"] = "" data["city"] = "Ensenada" data["colonia"] = "" data["state"] = u"Baja California" data["phone1"] = "1-111-111-1111" data["phone2"] = "" data["email"] = "patient@example.com" data["emergencyfullname"] = "Maria Sanchez" data["emergencyphone"] = "1-222-222-2222" data["emergencyemail"] = "maria.sanchez@example.com" x = CreatePatient(host, port, token, data) ret = x.send(timeout=30) self.assertEqual(ret[0], 200) patientid = int(ret[1]["id"]) x = CreateRegistration(host, port, token, patient=patientid, clinic=clinicid) ret = x.send(timeout=30) self.assertEqual(ret[0], 200) registrationid = int(ret[1]["id"]) data = {} data["registration"] = registrationid data["clinic"] = clinicid data["patient"] = patientid data["general_consent"] = True data["photo_consent"] = True x = CreateConsent(host, port, token, data) ret = x.send(timeout = 30) self.assertEqual(ret[0], 200) id = int(ret[1]["id"]) x = DeleteConsent(host, port, token, id) ret = x.send(timeout = 30) self.assertEqual(ret[0], 200) x = GetConsent(host, port, token) x.setId(id) ret = x.send(timeout = 30) self.assertEqual(ret[0], 404) #not found x = DeleteConsent(host, port, token, 9999) ret = x.send(timeout = 30) self.assertEqual(ret[0], 404) x = DeleteConsent(host, port, token, None) ret = x.send(timeout = 30) self.assertEqual(ret[0], 404) x = DeleteConsent(host, port, token, "") ret = x.send(timeout = 30) self.assertEqual(ret[0], 400) x = DeleteConsent(host, port, token, "Hello") ret = x.send(timeout = 30) self.assertEqual(ret[0], 404) x = DeleteRegistration(host, port, token, registrationid) ret = x.send(timeout=30) self.assertEqual(ret[0], 200) x = DeletePatient(host, port, token, patientid) ret = x.send(timeout=30) self.assertEqual(ret[0], 200) x = DeleteClinic(host, port, token, clinicid) ret = x.send(timeout=30) self.assertEqual(ret[0], 200) def testGetConsent(self): x = CreateClinic(host, port, token, "Ensenada", "02/05/2016", "02/06/2016") ret = x.send(timeout=30) self.assertEqual(ret[0], 200) self.assertTrue("id" in ret[1]) clinicid = int(ret[1]["id"]) data = {} data["paternal_last"] = "abcd1234" data["maternal_last"] = "yyyyyy" data["first"] = "zzzzzzz" data["middle"] = "" data["suffix"] = "Jr." data["prefix"] = "" data["dob"] = "04/01/1962" data["gender"] = "Female" data["street1"] = "1234 First Ave" data["street2"] = "" data["city"] = "Ensenada" data["colonia"] = "" data["state"] = u"Baja California" data["phone1"] = "1-111-111-1111" data["phone2"] = "" data["email"] = "patient@example.com" data["emergencyfullname"] = "Maria Sanchez" data["emergencyphone"] = "1-222-222-2222" data["emergencyemail"] = "maria.sanchez@example.com" x = CreatePatient(host, port, token, data) ret = x.send(timeout=30) self.assertEqual(ret[0], 200) patientid = int(ret[1]["id"]) x = CreateRegistration(host, port, token, patient=patientid, clinic=clinicid) ret = x.send(timeout=30) self.assertEqual(ret[0], 200) registrationid = int(ret[1]["id"]) data = {} data["registration"] = registrationid data["clinic"] = clinicid data["patient"] = patientid data["general_consent"] = True data["photo_consent"] = False x = CreateConsent(host, port, token, data) ret = x.send(timeout = 30) self.assertEqual(ret[0], 200) id = int(ret[1]["id"]) #get consent with consent id -- a single record returned x = GetConsent(host, port, token) x.setId(id) ret = x.send(timeout = 30) self.assertEqual(ret[0], 200) self.assertTrue("registration" in ret[1]) self.assertTrue("patient" in ret[1]) self.assertTrue("clinic" in ret[1]) registrationId = int(ret[1]["registration"]) self.assertTrue(registrationId == registrationid) clinicId = int(ret[1]["clinic"]) self.assertTrue(clinicId == clinicid) patientId = int(ret[1]["patient"]) self.assertTrue(patientId == patientid) data = ret[1] self.assertTrue("general_consent" in data) self.assertTrue("photo_consent" in data) self.assertTrue(data["general_consent"] == True) self.assertTrue(data["photo_consent"] == False) #get consent with registration id only -- an array containing a single record returned x = GetConsent(host, port, token) x.setRegistration(registrationid) ret = x.send(timeout = 30) self.assertEqual(ret[0], 200) self.assertEqual(len(ret[1]),1) data = ret[1][0] self.assertTrue("registration" in data) self.assertTrue("patient" in data) self.assertTrue("clinic" in data) registrationId = int(data["registration"]) self.assertTrue(registrationId == registrationid) clinicId = int(data["clinic"]) self.assertTrue(clinicId == clinicid) patientId = int(data["patient"]) self.assertTrue(patientId == patientid) self.assertTrue("general_consent" in data) self.assertTrue("photo_consent" in data) self.assertTrue(data["general_consent"] == True) self.assertTrue(data["photo_consent"] == False) #get consent without consentid and optional params x = GetConsent(host, port, token) ret = x.send(timeout = 30) self.assertEqual(ret[0],400) #get consent with non-exist consent id x = GetConsent(host, port, token) x.setId(9999) ret = x.send(timeout = 30) self.assertEqual(ret[0], 404) #create patient1 data = {} data["paternal_last"] = "1234abcd" data["maternal_last"] = "yyyyyy" data["first"] = "zzzzzzz" data["middle"] = "" data["suffix"] = "Jr." data["prefix"] = "" data["dob"] = "04/01/1962" data["gender"] = "Female" data["street1"] = "1234 First Ave" data["street2"] = "" data["city"] = "Ensenada" data["colonia"] = "" data["state"] = u"Baja California" data["phone1"] = "1-111-111-1111" data["phone2"] = "" data["email"] = "patient@example.com" data["emergencyfullname"] = "Maria Sanchez" data["emergencyphone"] = "1-222-222-2222" data["emergencyemail"] = "maria.sanchez@example.com" x = CreatePatient(host, port, token, data) ret = x.send(timeout=30) self.assertEqual(ret[0], 200) patientid1 = int(ret[1]["id"]) #create patient 2 data = {} data["paternal_last"] = "12abcd" data["maternal_last"] = "yyyyyy" data["first"] = "zzzzzzz" data["middle"] = "" data["suffix"] = "Jr." data["prefix"] = "" data["dob"] = "04/01/1962" data["gender"] = "Female" data["street1"] = "1234 First Ave" data["street2"] = "" data["city"] = "Ensenada" data["colonia"] = "" data["state"] = u"Baja California" data["phone1"] = "1-111-111-1111" data["phone2"] = "" data["email"] = "patient@example.com" data["emergencyfullname"] = "Maria Sanchez" data["emergencyphone"] = "1-222-222-2222" data["emergencyemail"] = "maria.sanchez@example.com" x = CreatePatient(host, port, token, data) ret = x.send(timeout=30) self.assertEqual(ret[0], 200) patientid2 = int(ret[1]["id"]) #create patient3 data = {} data["paternal_last"] = "111abcd" data["maternal_last"] = "yyyyyy" data["first"] = "zzzzzzz" data["middle"] = "" data["suffix"] = "Jr." data["prefix"] = "" data["dob"] = "04/01/1962" data["gender"] = "Female" data["street1"] = "1234 First Ave" data["street2"] = "" data["city"] = "Ensenada" data["colonia"] = "" data["state"] = u"Baja California" data["phone1"] = "1-111-111-1111" data["phone2"] = "" data["email"] = "patient@example.com" data["emergencyfullname"] = "Maria Sanchez" data["emergencyphone"] = "1-222-222-2222" data["emergencyemail"] = "maria.sanchez@example.com" x = CreatePatient(host, port, token, data) ret = x.send(timeout=30) self.assertEqual(ret[0], 200) patientid3 = int(ret[1]["id"]) #create registration 1 x = CreateRegistration(host, port, token, patient=patientid1, clinic=clinicid) ret = x.send(timeout=30) self.assertEqual(ret[0], 200) registrationid1 = int(ret[1]["id"]) #registrationid1: patientid1 & clinicid #create registration 2 x = CreateRegistration(host, port, token, patient=patientid2, clinic=clinicid) ret = x.send(timeout=30) self.assertEqual(ret[0], 200) registrationid2 = int(ret[1]["id"]) #registrationid2: patientid2 & clinicid data = {} data["registration"] = registrationid1 data["clinic"] = clinicid data["patient"] = patientid1 data["general_consent"] = False data["photo_consent"] = True x = CreateConsent(host, port, token, data) ret = x.send(timeout = 30) self.assertEqual(ret[0], 200) id1 = int(ret[1]["id"]) data = {} data["registration"] = registrationid2 data["clinic"] = clinicid data["patient"] = patientid2 data["general_consent"] = False data["photo_consent"] = False x = CreateConsent(host, port, token, data) ret = x.send(timeout = 30) self.assertEqual(ret[0], 200) id2 = int(ret[1]["id"]) #test clinic id only -- an array of items returned idlist1 = [id, id1, id2] #The ids correspond with clinicid x = GetConsent(host, port, token) x.setClinic(clinicid) ret = x.send(timeout = 30) self.assertEqual(ret[0], 200) consents = ret[1] self.assertTrue(len(consents) == 3) for x in consents: if x["id"] in idlist1: idlist1.remove(x["id"]) if len(idlist1): self.assertTrue("failed to find all created consent items {}".format(idlist1) == None) #create clinic 1 x = CreateClinic(host, port, token, "Ensenada", "02/08/2016", "02/06/2016") ret = x.send(timeout=30) self.assertEqual(ret[0], 200) self.assertTrue("id" in ret[1]) clinicid1 = int(ret[1]["id"]) #create clinic 2 x = CreateClinic(host, port, token, "Ensenada", "02/08/2016", "02/05/2016") ret = x.send(timeout=30) self.assertEqual(ret[0], 200) self.assertTrue("id" in ret[1]) clinicid2 = int(ret[1]["id"]) #create clinic 3 x = CreateClinic(host, port, token, "Ensenada", "02/08/2016", "02/05/2015") ret = x.send(timeout=30) self.assertEqual(ret[0], 200) self.assertTrue("id" in ret[1]) clinicid3 = int(ret[1]["id"]) #create registration 3 x = CreateRegistration(host, port, token, patient=patientid, clinic=clinicid1) ret = x.send(timeout=30) self.assertEqual(ret[0], 200) registrationid3 = int(ret[1]["id"]) #registrationid3: patientid & clinicid1 #create registration 4 x = CreateRegistration(host, port, token, patient=patientid, clinic=clinicid2) ret = x.send(timeout=30) self.assertEqual(ret[0], 200) registrationid4 = int(ret[1]["id"]) #registrationid4: patientid & clinicid2 #create registration 5 x = CreateRegistration(host, port, token, patient=patientid, clinic=clinicid3) ret = x.send(timeout=30) self.assertEqual(ret[0], 200) registrationid5 = int(ret[1]["id"]) #registrationid5: patientid & clinicid3 data = {} data["registration"] = registrationid3 data["clinic"] = clinicid1 data["patient"] = patientid data["general_consent"] = False data["photo_consent"] = True x = CreateConsent(host, port, token, data) ret = x.send(timeout = 30) self.assertEqual(ret[0], 200) id3 = int(ret[1]["id"]) data = {} data["registration"] = registrationid4 data["clinic"] = clinicid2 data["patient"] = patientid data["general_consent"] = False data["photo_consent"] = True x = CreateConsent(host, port, token, data) ret = x.send(timeout = 30) self.assertEqual(ret[0], 200) id4 = int(ret[1]["id"]) idlist2 = [id, id3, id4] #The ids correspond with patientid #Get consent with patient id only -- an array of items returned x = GetConsent(host, port, token) x.setPatient(patientid) ret = x.send(timeout = 30) self.assertEqual(ret[0], 200) consents = ret[1] self.assertTrue(len(consents) == 3) for x in consents: if x["id"] in idlist2: idlist2.remove(x["id"]) if len(idlist2): self.assertTrue("failed to find all created consent items {}".format(idlist2) == None) #Get consent with patient id and clinic id -- an array that contains a single record returned x = GetConsent(host, port, token) x.setPatient(patientid) x.setClinic(clinicid) ret = x.send(timeout = 30) self.assertEqual(ret[0], 200) self.assertEqual(len(ret[1]),1) data = ret[1][0] self.assertTrue("registration" in data) self.assertTrue("patient" in data) self.assertTrue("clinic" in data) registrationId = int(data["registration"]) self.assertTrue(registrationId == registrationid) clinicId = int(data["clinic"]) self.assertTrue(clinicId == clinicid) patientId = int(data["patient"]) self.assertTrue(patientId == patientid) self.assertTrue("general_consent" in data) self.assertTrue("photo_consent" in data) self.assertTrue(data["general_consent"] == True) self.assertTrue(data["photo_consent"] == False) x = GetConsent(host, port, token) x.setPatient(patientid1) x.setClinic(clinicid) ret = x.send(timeout = 30) self.assertEqual(ret[0], 200) self.assertEqual(len(ret[1]),1) data = ret[1][0] self.assertTrue("registration" in data) self.assertTrue("patient" in data) self.assertTrue("clinic" in data) registrationId = int(data["registration"]) self.assertTrue(registrationId == registrationid1) clinicId = int(data["clinic"]) self.assertTrue(clinicId == clinicid) patientId = int(data["patient"]) self.assertTrue(patientId == patientid1) self.assertTrue("general_consent" in data) self.assertTrue("photo_consent" in data) self.assertTrue(data["general_consent"] == False) self.assertTrue(data["photo_consent"] == True) #Get consent with patient id and registration id -- an array that contains a single record returns x = GetConsent(host, port, token) x.setPatient(patientid) x.setRegistration(registrationid) ret = x.send(timeout = 30) self.assertEqual(ret[0], 200) self.assertEqual(len(ret[1]),1) data = ret[1][0] self.assertTrue("registration" in data) self.assertTrue("patient" in data) self.assertTrue("clinic" in data) registrationId = int(data["registration"]) self.assertTrue(registrationId == registrationid) clinicId = int(data["clinic"]) self.assertTrue(clinicId == clinicid) patientId = int(data["patient"]) self.assertTrue(patientId == patientid) self.assertTrue("general_consent" in data) self.assertTrue("photo_consent" in data) self.assertTrue(data["general_consent"] == True) self.assertTrue(data["photo_consent"] == False) x = GetConsent(host, port, token) x.setPatient(patientid1) x.setRegistration(registrationid1) ret = x.send(timeout = 30) self.assertEqual(ret[0], 200) self.assertEqual(len(ret[1]),1) data = ret[1][0] self.assertTrue("registration" in data) self.assertTrue("patient" in data) self.assertTrue("clinic" in data) registrationId = int(data["registration"]) self.assertTrue(registrationId == registrationid1) clinicId = int(data["clinic"]) self.assertTrue(clinicId == clinicid) patientId = int(data["patient"]) self.assertTrue(patientId == patientid1) self.assertTrue("general_consent" in data) self.assertTrue("photo_consent" in data) self.assertTrue(data["general_consent"] == False) self.assertTrue(data["photo_consent"] == True) #get Consent with clinic id and registrion id -- an array that contains a single record returns x = GetConsent(host, port, token) x.setClinic(clinicid) x.setRegistration(registrationid) ret = x.send(timeout = 30) self.assertEqual(ret[0], 200) self.assertEqual(len(ret[1]),1) data = ret[1][0] self.assertTrue("registration" in data) self.assertTrue("patient" in data) self.assertTrue("clinic" in data) registrationId = int(data["registration"]) self.assertTrue(registrationId == registrationid) clinicId = int(data["clinic"]) self.assertTrue(clinicId == clinicid) patientId = int(data["patient"]) self.assertTrue(patientId == patientid) self.assertTrue("general_consent" in data) self.assertTrue("photo_consent" in data) self.assertTrue(data["general_consent"] == True) self.assertTrue(data["photo_consent"] == False) x = GetConsent(host, port, token) x.setClinic(clinicid) x.setRegistration(registrationid1) ret = x.send(timeout = 30) self.assertEqual(ret[0], 200) self.assertEqual(len(ret[1]),1) data = ret[1][0] self.assertTrue("registration" in data) self.assertTrue("patient" in data) self.assertTrue("clinic" in data) registrationId = int(data["registration"]) self.assertTrue(registrationId == registrationid1) clinicId = int(data["clinic"]) self.assertTrue(clinicId == clinicid) patientId = int(data["patient"]) self.assertTrue(patientId == patientid1) self.assertTrue("general_consent" in data) self.assertTrue("photo_consent" in data) self.assertTrue(data["general_consent"] == False) self.assertTrue(data["photo_consent"] == True) #get consent with registration and patient and clinic ids -- an array that contains a single record returned x = GetConsent(host, port, token) x.setClinic(clinicid) x.setRegistration(registrationid) x.setPatient(patientid) ret = x.send(timeout = 30) self.assertEqual(ret[0], 200) self.assertEqual(len(ret[1]),1) data = ret[1][0] self.assertTrue("registration" in data) self.assertTrue("patient" in data) self.assertTrue("clinic" in data) registrationId = int(data["registration"]) self.assertTrue(registrationId == registrationid) clinicId = int(data["clinic"]) self.assertTrue(clinicId == clinicid) patientId = int(data["patient"]) self.assertTrue(patientId == patientid) self.assertTrue("general_consent" in data) self.assertTrue("photo_consent" in data) self.assertTrue(data["general_consent"] == True) self.assertTrue(data["photo_consent"] == False) x = GetConsent(host, port, token) x.setClinic(clinicid) x.setRegistration(registrationid1) x.setPatient(patientid1) ret = x.send(timeout = 30) self.assertEqual(ret[0], 200) self.assertEqual(len(ret[1]),1) data = ret[1][0] self.assertTrue("registration" in data) self.assertTrue("patient" in data) self.assertTrue("clinic" in data) registrationId = int(data["registration"]) self.assertTrue(registrationId == registrationid1) clinicId = int(data["clinic"]) self.assertTrue(clinicId == clinicid) patientId = int(data["patient"]) self.assertTrue(patientId == patientid1) self.assertTrue("general_consent" in data) self.assertTrue("photo_consent" in data) self.assertTrue(data["general_consent"] == False) self.assertTrue(data["photo_consent"] == True) #get consent with patient id that doesn't exist x = GetConsent(host, port, token) x.setPatient(9999) ret = x.send(timeout = 30) self.assertEqual(ret[0], 404) #get consent with clinic id that doesn't exist x = GetConsent(host, port, token) x.setClinic(9999) ret = x.send(timeout = 30) self.assertEqual(ret[0], 404) #get consent with registration id that doesn't exist x = GetConsent(host, port, token) x.setRegistration(9999) ret = x.send(timeout = 30) self.assertEqual(ret[0], 404) #get consent with ids that exist but no record corresponds to it x = GetConsent(host, port, token) x.setPatient(patientid1) x.setClinic(clinicid1) ret = x.send(timeout = 30) self.assertEqual(200, ret[0]) self.assertEqual([],ret[1]) x = GetConsent(host, port, token) x.setClinic(clinicid2) x.setRegistration(registrationid3) ret = x.send(timeout = 30) self.assertEqual(200, ret[0]) self.assertEqual([],ret[1]) x = GetConsent(host, port, token) x.setPatient(patientid2) x.setRegistration(registrationid3) ret = x.send(timeout = 30) self.assertEqual(200, ret[0]) self.assertEqual([],ret[1]) #get consent with patient id that exists but no record corresponds to it x = GetConsent(host, port, token) x.setPatient(patientid3) ret = x.send(timeout = 30) self.assertEqual(200, ret[0]) self.assertEqual([],ret[1]) #get consent with clinic id that exists but no record corresponds to it x = GetConsent(host, port, token) x.setClinic(clinicid3) ret = x.send(timeout = 30) self.assertEqual(200, ret[0]) self.assertEqual([],ret[1]) #get consent with registration id that exists but no record corresponds to it x = GetConsent(host, port, token) x.setRegistration(registrationid5) ret = x.send(timeout = 30) self.assertEqual(200, ret[0]) self.assertEqual([],ret[1]) #get consent with registration/patient/clinic id that exists but no record corresponds to it x = GetConsent(host, port, token) x.setRegistration(registrationid3) x.setPatient(patientid1) x.setClinic(clinicid2) ret = x.send(timeout = 30) self.assertEqual(ret[0], 200) self.assertEqual([],ret[1]) #delete all the records created for x in [id, id1, id2, id3, id4]: x = DeleteConsent(host, port, token, x) ret = x.send(timeout=30) self.assertEqual(ret[0], 200) for x in [registrationid, registrationid1, registrationid2, registrationid3, registrationid4, registrationid5]: k = DeleteRegistration(host, port, token, x) ret = k.send(timeout=30) self.assertEqual(ret[0], 200) for x in [patientid, patientid1, patientid2, patientid3]: k = DeletePatient(host, port, token, x) ret = k.send(timeout=30) self.assertEqual(ret[0], 200) for x in [clinicid, clinicid1, clinicid2, clinicid3]: k = DeleteClinic(host, port, token, x) ret = k.send(timeout=30) self.assertEqual(ret[0], 200) def usage(): print("surgeryhistory [-h host] [-p port] [-u username] [-w password]") def main(): try: opts, args = getopt.getopt(sys.argv[1:], "h:p:u:w:") except getopt.GetoptError as err: print(str(err)) usage() sys.exit(2) global host host = "127.0.0.1" global port port = 8000 global username username = None global password password = None for o, a in opts: if o == "-h": host = a elif o == "-p": port = int(a) elif o == "-u": username = a elif o == "-w": password = a else: assert False, "unhandled option" unittest.main(argv=[sys.argv[0]]) if __name__ == "__main__": main()

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9e853bf7bf6bf89d1f7b7b00abe54ae7f14836a8

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py

Python

DATABASE/TableDonnee.py

zakikama/Logistics_SOMAGEC

735d5a699fb0c8c3b318666f82a710186eb3b6b6

[ "MIT" ]

2

2021-08-03T09:35:57.000Z

2022-01-08T13:01:57.000Z

DATABASE/TableDonnee.py

zakikama/Logistics_SOMAGEC

735d5a699fb0c8c3b318666f82a710186eb3b6b6

[ "MIT" ]

null

DATABASE/TableDonnee.py

zakikama/Logistics_SOMAGEC

735d5a699fb0c8c3b318666f82a710186eb3b6b6

[ "MIT" ]

null

import tkinter as tk from main import * import time def Formulaire_Personnels(): root = tk.Toplevel(app) root.title("Ajouter personnels") image = Image.open( '/Users/ikama/Desktop/Logistics_SOMAGEC/DATABASE/Form.png') # Reszie the image using resize() method resize_image = image.resize((500, 750)) def triangleClicked(eventorigin): global x, y x = eventorigin.x y = eventorigin.y if ((418 <= x <= 427 and 683 <= y <= 716) or (418 <= x <= 452 and 709 <= y <= 716) or (427 <= x <= 452 and 683 <= y <= 709)): save() def enter_Tapped(event): save() def save(): c = chauf_grais() c.nom = nom_entry.get() c.matricule = matricule_entry.get() c.prenom = prenom_entry.get() c.fonction = fonction.get() c.sauvgarde_chauf_grais() messagebox.showinfo("showinfo", "Sauvgarde de " + matricule_entry.get()+" Reussis ") root.img = ImageTk.PhotoImage(resize_image) global nom global prenom global fonction global matricule global nom_entry global prenom_entry global matricule_entry global fonction_entry OPTIONS = ["Chauffeur", "Graisseur"] nom = StringVar() prenom = StringVar() matricule = StringVar() fonction = StringVar() fonction.set(OPTIONS[0]) canvas = Canvas( root, width=500, height=1000, bg="#2d5b6b", bd=0, highlightthickness=0 ) canvas.pack(fill='both', expand=True) canvas.create_image( 0, 0, image=root.img, anchor="nw" ) canvas.create_text( 80, 190, text='Matricule :', font=('HIND Light', 20), ) canvas.create_text( 80, 240, text='Nom :', font=('HIND Light', 20), ) canvas.create_text( 80, 290, text='Prenom :', font=('HIND Light', 20), ) canvas.create_text( 80, 340, text='Fonction :', font=('HIND Light', 20), ) matricule_entry = Entry(root, textvariable=matricule) matricule_entry.config(highlightbackground='#eeeeee', foreground="#ff6815", background='#eeeeee') matricule_entry_canvas = canvas.create_window( 200, 170, anchor="nw", window=matricule_entry, ) nom_entry = Entry(root, textvariable=nom) nom_entry.config(highlightbackground='#eeeeee', foreground="#ff6815", background='#eeeeee') nom_entry_canvas = canvas.create_window( 200, 220, anchor="nw", window=nom_entry, ) prenom_entry = Entry(root, textvariable=prenom) prenom_entry.config(highlightbackground='#eeeeee', foreground="#ff6815", background='#eeeeee') prenom_entry_canvas = canvas.create_window( 200, 270, anchor="nw", window=prenom_entry, ) fonction_entry = OptionMenu(root, fonction, *OPTIONS) fonction_entry.config(highlightbackground='#eeeeee', foreground="#ff6815", background='#eeeeee') fonction_entry_canvas = canvas.create_window( 200, 320, anchor="nw", window=fonction_entry, ) root.bind("<Button 1>", triangleClicked) root.bind("<Return>", enter_Tapped) root.bind('<KP_Enter>', enter_Tapped) root.resizable(0, 0) root.mainloop() def Formulaire_Chantier(): root = tk.Toplevel(app) root.title("Ajouter Chantier") image = Image.open( '/Users/ikama/Desktop/Logistics_SOMAGEC/DATABASE/Form.png') # Reszie the image using resize() method resize_image = image.resize((500, 750)) def triangleClicked(eventorigin): global x, y x = eventorigin.x y = eventorigin.y if ((418 <= x <= 427 and 683 <= y <= 716) or (418 <= x <= 452 and 709 <= y <= 716) or (427 <= x <= 452 and 683 <= y <= 709)): save() def enter_Tapped(event): save() def save(): c = Chantier() c.intituleChantier = intituleChantier_entry.get() c.villeChantier = villeChantier_entry.get() c.adresseChantier = adresseChantier_entry.get() c.nomRespChantier = nomRespChantier.get() c.sauvgarde_Chantier() messagebox.showinfo("showinfo", "Sauvgarde de " + intituleChantier_entry.get()+" Reussis ") root.img = ImageTk.PhotoImage(resize_image) global intituleChantier global adresseChantier global nomRespChantier global villeChantier global intituleChantier_entry global adresseChantier_entry global villeChantier_entry global nomRespChantier_entry intituleChantier = StringVar() adresseChantier = StringVar() villeChantier = StringVar() nomRespChantier = StringVar() canvas = Canvas( root, width=500, height=1000, bg="#2d5b6b", bd=0, highlightthickness=0 ) canvas.pack(fill='both', expand=True) canvas.create_image( 0, 0, image=root.img, anchor="nw" ) canvas.create_text( 80, 190, text='Ville :', font=('HIND Light', 20), ) canvas.create_text( 80, 240, text='Libellé :', font=('HIND Light', 20), ) canvas.create_text( 80, 290, text='Adresse :', font=('HIND Light', 20), ) canvas.create_text( 80, 340, text='Responsable :', font=('HIND Light', 20), ) villeChantier_entry = Entry(root, textvariable=villeChantier) villeChantier_entry.config(highlightbackground='#eeeeee', foreground="#ff6815", background='#eeeeee') villeChantier_entry_canvas = canvas.create_window( 200, 170, anchor="nw", window=villeChantier_entry, ) intituleChantier_entry = Entry(root, textvariable=intituleChantier) intituleChantier_entry.config(highlightbackground='#eeeeee', foreground="#ff6815", background='#eeeeee') intituleChantier_entry_canvas = canvas.create_window( 200, 220, anchor="nw", window=intituleChantier_entry, ) adresseChantier_entry = Entry(root, textvariable=adresseChantier) adresseChantier_entry.config(highlightbackground='#eeeeee', foreground="#ff6815", background='#eeeeee') adresseChantier_entry_canvas = canvas.create_window( 200, 270, anchor="nw", window=adresseChantier_entry, ) nomRespChantier_entry = Entry(root, textvariable=nomRespChantier) nomRespChantier_entry.config(highlightbackground='#eeeeee', foreground="#ff6815", background='#eeeeee') nomRespChantier_entry_canvas = canvas.create_window( 200, 320, anchor="nw", window=nomRespChantier_entry, ) root.bind("<Button 1>", triangleClicked) root.bind("<Return>", enter_Tapped) root.bind('<KP_Enter>', enter_Tapped) root.resizable(0, 0) root.mainloop() def Formulaire_Vehicule(): root = tk.Toplevel(app) root.title("Ajouter Vehicule") image = Image.open( '/Users/ikama/Desktop/Logistics_SOMAGEC/DATABASE/Form.png') # Reszie the image using resize() method resize_image = image.resize((500, 750)) global designationVehicule global typeVehicule global ptcVehicule global ptvVehicule global immatriculationVehicule global designationVehicule_entry global typeVehicule_entry global immatriculationVehicule_entry global ptcVehicule_entry global ptvVehicule_entry designationVehicule = StringVar() typeVehicule = StringVar() immatriculationVehicule = StringVar() ptcVehicule = StringVar() ptvVehicule = StringVar() def triangleClicked(eventorigin): global x, y x = eventorigin.x y = eventorigin.y if ((418 <= x <= 427 and 683 <= y <= 716) or (418 <= x <= 452 and 709 <= y <= 716) or (427 <= x <= 452 and 683 <= y <= 709)): save() def enter_Tapped(event): save() def save(): c = vehicule() c.designationVehicule = designationVehicule_entry.get() c.immatriculationVehicule = immatriculationVehicule_entry.get() c.typeVehicule = typeVehicule_entry.get() c.ptcVehicule = float(ptcVehicule.get()) c.ptvVehicule = float(ptvVehicule.get()) c.sauvgarde_Vehicule() messagebox.showinfo("showinfo", "Sauvgarde de " + designationVehicule_entry.get()+" Reussis ") root.img = ImageTk.PhotoImage(resize_image) canvas = Canvas( root, width=500, height=1000, bg="#2d5b6b", bd=0, highlightthickness=0 ) canvas.pack(fill='both', expand=True) canvas.create_image( 0, 0, image=root.img, anchor="nw" ) canvas.create_text( 80, 190, text='Immatriculation :', font=('HIND Light', 20), ) canvas.create_text( 80, 240, text='Libellé :', font=('HIND Light', 20), ) canvas.create_text( 80, 290, text='Type:', font=('HIND Light', 20), ) canvas.create_text( 80, 340, text='PTC(kg) :', font=('HIND Light', 20), ) canvas.create_text( 80, 390, text='PTV(kg) :', font=('HIND Light', 20), ) immatriculationVehicule_entry = Entry( root, textvariable=immatriculationVehicule) immatriculationVehicule_entry.config(highlightbackground='#eeeeee', foreground="#ff6815", background='#eeeeee') immatriculationVehicule_entry_canvas = canvas.create_window( 200, 170, anchor="nw", window=immatriculationVehicule_entry, ) designationVehicule_entry = Entry(root, textvariable=designationVehicule) designationVehicule_entry.config(highlightbackground='#eeeeee', foreground="#ff6815", background='#eeeeee') designationVehicule_entry_canvas = canvas.create_window( 200, 220, anchor="nw", window=designationVehicule_entry, ) typeVehicule_entry = Entry(root, textvariable=typeVehicule) typeVehicule_entry.config(highlightbackground='#eeeeee', foreground="#ff6815", background='#eeeeee') typeVehicule_entry_canvas = canvas.create_window( 200, 270, anchor="nw", window=typeVehicule_entry, ) ptcVehicule_entry = Entry(root, textvariable=ptcVehicule) ptcVehicule_entry.config(highlightbackground='#eeeeee', foreground="#ff6815", background='#eeeeee') ptcVehicule_entry_canvas = canvas.create_window( 200, 320, anchor="nw", window=ptcVehicule_entry, ) ptvVehicule_entry = Entry(root, textvariable=ptvVehicule) ptvVehicule_entry.config(highlightbackground='#eeeeee', foreground="#ff6815", background='#eeeeee') ptvVehicule_entry_canvas = canvas.create_window( 200, 370, anchor="nw", window=ptvVehicule_entry, ) root.bind("<Button 1>", triangleClicked) root.bind("<Return>", enter_Tapped) root.bind('<KP_Enter>', enter_Tapped) root.resizable(0, 0) root.mainloop() def Formulaire_Remorque(): root = tk.Toplevel(app) root.title("Ajouter Remorque") image = Image.open( '/Users/ikama/Desktop/Logistics_SOMAGEC/DATABASE/Form.png') # Reszie the image using resize() method resize_image = image.resize((500, 750)) def enter_Tapped(event): save() def triangleClicked(eventorigin): global x, y x = eventorigin.x y = eventorigin.y if ((418 <= x <= 427 and 683 <= y <= 716) or (418 <= x <= 452 and 709 <= y <= 716) or (427 <= x <= 452 and 683 <= y <= 709)): save() def save(): c = remorque() c.designationRemorque = designationRemorque_entry.get() c.immatriculationRemorque = immatriculationRemorque_entry.get() c.typeRemorque = typeRemorque_entry.get() c.ptcRemorque = float(ptcRemorque.get()) c.ptvRemorque = float(ptvRemorque.get()) c.sauvgarde_Remorque() messagebox.showinfo("showinfo", "Sauvgarde de " + designationRemorque_entry.get()+" Reussis ") root.img = ImageTk.PhotoImage(resize_image) global designationRemorque global typeRemorque global ptcRemorque global ptvRemorque global immatriculationRemorque global designationRemorque_entry global typeRemorque_entry global immatriculationRemorque_entry global ptcRemorque_entry global ptvRemorque_entry designationRemorque = StringVar() typeRemorque = StringVar() immatriculationRemorque = StringVar() ptcRemorque = StringVar() ptvRemorque = StringVar() canvas = Canvas( root, width=500, height=1000, bg="#2d5b6b", bd=0, highlightthickness=0 ) canvas.pack(fill='both', expand=True) canvas.create_image( 0, 0, image=root.img, anchor="nw" ) canvas.create_text( 80, 190, text='Immatriculation :', font=('HIND Light', 20), ) canvas.create_text( 80, 240, text='Libellé :', font=('HIND Light', 20), ) canvas.create_text( 80, 290, text='Type:', font=('HIND Light', 20), ) canvas.create_text( 80, 340, text='PTC(kg) :', font=('HIND Light', 20), ) canvas.create_text( 80, 390, text='PTV(kg) :', font=('HIND Light', 20), ) immatriculationRemorque_entry = Entry( root, textvariable=immatriculationRemorque) immatriculationRemorque_entry.config(highlightbackground='#eeeeee', foreground="#ff6815", background='#eeeeee') immatriculationRemorque_entry_canvas = canvas.create_window( 200, 170, anchor="nw", window=immatriculationRemorque_entry, ) designationRemorque_entry = Entry(root, textvariable=designationRemorque) designationRemorque_entry.config(highlightbackground='#eeeeee', foreground="#ff6815", background='#eeeeee') designationRemorque_entry_canvas = canvas.create_window( 200, 220, anchor="nw", window=designationRemorque_entry, ) typeRemorque_entry = Entry(root, textvariable=typeRemorque) typeRemorque_entry.config(highlightbackground='#eeeeee', foreground="#ff6815", background='#eeeeee') typeRemorque_entry_canvas = canvas.create_window( 200, 270, anchor="nw", window=typeRemorque_entry, ) ptcRemorque_entry = Entry(root, textvariable=ptcRemorque) ptcRemorque_entry.config(highlightbackground='#eeeeee', foreground="#ff6815", background='#eeeeee') ptcRemorque_entry_canvas = canvas.create_window( 200, 320, anchor="nw", window=ptcRemorque_entry, ) ptvRemorque_entry = Entry(root, textvariable=ptvRemorque) ptvRemorque_entry.config(highlightbackground='#eeeeee', foreground="#ff6815", background='#eeeeee') ptvRemorque_entry_canvas = canvas.create_window( 200, 370, anchor="nw", window=ptvRemorque_entry, ) root.bind("<Button 1>", triangleClicked) root.bind("<Return>", enter_Tapped) root.bind('<KP_Enter>', enter_Tapped) root.resizable(0, 0) root.mainloop() def Formulaire_Engin(): root = tk.Toplevel(app) root.title("Ajouter Engin") image = Image.open( '/Users/ikama/Desktop/Logistics_SOMAGEC/DATABASE/Form.png') # Reszie the image using resize() method resize_image = image.resize((500, 750)) def triangleClicked(eventorigin): global x, y x = eventorigin.x y = eventorigin.y if ((418 <= x <= 427 and 683 <= y <= 716) or (418 <= x <= 452 and 709 <= y <= 716) or (427 <= x <= 452 and 683 <= y <= 709)): save() def enter_Tapped(event): save() def save(): c = engin() c.designationEngin = designationEngin_entry.get() c.poidsEngin = float(poidsEngin.get()) c.sauvgarde_Engin() messagebox.showinfo("showinfo", "Sauvgarde de " + designationEngin_entry.get()+" Reussis ") root.img = ImageTk.PhotoImage(resize_image) global designationEngin global poidsEngin global designationEngin_entry global poidsEngin_entry designationEngin = StringVar() poidsEngin = StringVar() canvas = Canvas( root, width=500, height=1000, bg="#2d5b6b", bd=0, highlightthickness=0 ) canvas.pack(fill='both', expand=True) canvas.create_image( 0, 0, image=root.img, anchor="nw" ) canvas.create_text( 80, 240, text='designation :', font=('HIND Light', 20), ) canvas.create_text( 80, 290, text='Poids :', font=('HIND Light', 20), ) designationEngin_entry = Entry(root, textvariable=designationEngin) designationEngin_entry.config(highlightbackground='#eeeeee', foreground="#ff6815", background='#eeeeee') designationEngin_entry_canvas = canvas.create_window( 200, 220, anchor="nw", window=designationEngin_entry, ) poidsEngin_entry = Entry(root, textvariable=poidsEngin) poidsEngin_entry.config(highlightbackground='#eeeeee', foreground="#ff6815", background='#eeeeee') poidsEngin_entry_canvas = canvas.create_window( 200, 270, anchor="nw", window=poidsEngin_entry, ) root.bind("<Button 1>", triangleClicked) root.bind("<Return>", enter_Tapped) root.bind('<KP_Enter>', enter_Tapped) root.resizable(0, 0) root.mainloop() def Formulaire_MChantier(Chantier): root = tk.Toplevel(app) root.title("Modifier Chantier") image = Image.open( '/Users/ikama/Desktop/Logistics_SOMAGEC/DATABASE/Form.png') # Reszie the image using resize() method resize_image = image.resize((500, 750)) def triangleClicked(eventorigin): global x, y x = eventorigin.x y = eventorigin.y if ((418 <= x <= 427 and 683 <= y <= 716) or (418 <= x <= 452 and 709 <= y <= 716) or (427 <= x <= 452 and 683 <= y <= 709)): edit() def enter_Tapped(event): edit() def edit(): modifier_chantier(intituleChantier_entry.get(), adresseChantier_entry.get( ), villeChantier_entry.get(), nomRespChantier.get(), codeChantier.get()) messagebox.showinfo("showinfo", "modification de " + intituleChantier_entry.get()+" Reussis ") root.img = ImageTk.PhotoImage(resize_image) global intituleChantier global adresseChantier global nomRespChantier global villeChantier global codeChantier global codeChantier_entry global intituleChantier_entry global adresseChantier_entry global villeChantier_entry global nomRespChantier_entry codeChantier = StringVar() intituleChantier = StringVar() adresseChantier = StringVar() villeChantier = StringVar() nomRespChantier = StringVar() canvas = Canvas( root, width=500, height=1000, bg="#2d5b6b", bd=0, highlightthickness=0 ) canvas.pack(fill='both', expand=True) canvas.create_image( 0, 0, image=root.img, anchor="nw" ) if Chantier != []: canvas.create_text( 80, 140, text='code :', font=('HIND Light', 20), ) canvas.create_text( 80, 190, text='Ville :', font=('HIND Light', 20), ) canvas.create_text( 80, 240, text='Libellé :', font=('HIND Light', 20), ) canvas.create_text( 80, 290, text='Adresse :', font=('HIND Light', 20), ) canvas.create_text( 80, 340, text='Responsable :', font=('HIND Light', 20), ) codeChantier_entry = Entry(root, textvariable=codeChantier) codeChantier_entry.insert(END, Chantier[0]) codeChantier_entry.config(highlightbackground='#eeeeee', foreground="#ff6815", background='#eeeeee') codeChantier_entry_canvas = canvas.create_window( 200, 120, anchor="nw", window=codeChantier_entry, ) villeChantier_entry = Entry(root, textvariable=villeChantier) villeChantier_entry.insert(END, Chantier[3]) villeChantier_entry.config(highlightbackground='#eeeeee', foreground="#ff6815", background='#eeeeee') villeChantier_entry_canvas = canvas.create_window( 200, 170, anchor="nw", window=villeChantier_entry, ) intituleChantier_entry = Entry(root, textvariable=intituleChantier) intituleChantier_entry.insert(END, Chantier[1]) intituleChantier_entry.config(highlightbackground='#eeeeee', foreground="#ff6815", background='#eeeeee') intituleChantier_entry_canvas = canvas.create_window( 200, 220, anchor="nw", window=intituleChantier_entry, ) adresseChantier_entry = Entry(root, textvariable=adresseChantier) adresseChantier_entry.insert(END, Chantier[2]) adresseChantier_entry.config(highlightbackground='#eeeeee', foreground="#ff6815", background='#eeeeee') adresseChantier_entry_canvas = canvas.create_window( 200, 270, anchor="nw", window=adresseChantier_entry, ) nomRespChantier_entry = Entry(root, textvariable=nomRespChantier) nomRespChantier_entry.insert(END, Chantier[4]) nomRespChantier_entry.config(highlightbackground='#eeeeee', foreground="#ff6815", background='#eeeeee') nomRespChantier_entry_canvas = canvas.create_window( 200, 320, anchor="nw", window=nomRespChantier_entry, ) else: canvas.create_text( 80, 140, text='code :', font=('HIND Light', 20), ) canvas.create_text( 80, 190, text='Ville :', font=('HIND Light', 20), ) canvas.create_text( 80, 240, text='Libellé :', font=('HIND Light', 20), ) canvas.create_text( 80, 290, text='Adresse :', font=('HIND Light', 20), ) canvas.create_text( 80, 340, text='Responsable :', font=('HIND Light', 20), ) codeChantier_entry = Entry(root, textvariable=codeChantier) codeChantier_entry.config(highlightbackground='#eeeeee', foreground="#ff6815", background='#eeeeee') codeChantier_entry_canvas = canvas.create_window( 200, 120, anchor="nw", window=codeChantier_entry, ) villeChantier_entry = Entry(root, textvariable=villeChantier) villeChantier_entry.config(highlightbackground='#eeeeee', foreground="#ff6815", background='#eeeeee') villeChantier_entry_canvas = canvas.create_window( 200, 170, anchor="nw", window=villeChantier_entry, ) intituleChantier_entry = Entry(root, textvariable=intituleChantier) intituleChantier_entry.config(highlightbackground='#eeeeee', foreground="#ff6815", background='#eeeeee') intituleChantier_entry_canvas = canvas.create_window( 200, 220, anchor="nw", window=intituleChantier_entry, ) adresseChantier_entry = Entry(root, textvariable=adresseChantier) adresseChantier_entry.config(highlightbackground='#eeeeee', foreground="#ff6815", background='#eeeeee') adresseChantier_entry_canvas = canvas.create_window( 200, 270, anchor="nw", window=adresseChantier_entry, ) nomRespChantier_entry = Entry(root, textvariable=nomRespChantier) nomRespChantier_entry.config(highlightbackground='#eeeeee', foreground="#ff6815", background='#eeeeee') nomRespChantier_entry_canvas = canvas.create_window( 200, 320, anchor="nw", window=nomRespChantier_entry,) root.bind("<Button 1>", triangleClicked) root.bind("<Return>", enter_Tapped) root.bind('<KP_Enter>', enter_Tapped) root.resizable(0, 0) root.mainloop() def Formulaire_MVehicule(Vehicule): root = tk.Toplevel(app) root.title("Modifier Vehicule") image = Image.open( '/Users/ikama/Desktop/Logistics_SOMAGEC/DATABASE/Form.png') # Reszie the image using resize() method resize_image = image.resize((500, 750)) def triangleClicked(eventorigin): global x, y x = eventorigin.x y = eventorigin.y if ((418 <= x <= 427 and 683 <= y <= 716) or (418 <= x <= 452 and 709 <= y <= 716) or (427 <= x <= 452 and 683 <= y <= 709)): print("CLICK") edit() def enter_Tapped(event): print("enter") edit() def edit(): modifier_vehicule(designationVehicule_entry.get(), typeVehicule_entry.get( ), ptcVehicule_entry.get(), ptvVehicule_entry.get(), immatriculationVehicule_entry.get()) messagebox.showinfo("showinfo", "modification de " + designationVehicule_entry.get()+" Reussis ") root.img = ImageTk.PhotoImage(resize_image) global designationVehicule global typeVehicule global ptcVehicule global ptvVehicule global immatriculationVehicule global designationVehicule_entry global typeVehicule_entry global immatriculationVehicule_entry global ptcVehicule_entry global ptvVehicule_entry designationVehicule = StringVar() typeVehicule = StringVar() immatriculationVehicule = StringVar() ptcVehicule = StringVar() ptvVehicule = StringVar() canvas = Canvas( root, width=500, height=1000, bg="#2d5b6b", bd=0, highlightthickness=0 ) canvas.pack(fill='both', expand=True) canvas.create_image( 0, 0, image=root.img, anchor="nw" ) if Vehicule != []: canvas.create_text( 80, 190, text='Immatriculation :', font=('HIND Light', 20), ) canvas.create_text( 80, 240, text='Libellé :', font=('HIND Light', 20), ) canvas.create_text( 80, 290, text='Type:', font=('HIND Light', 20), ) canvas.create_text( 80, 340, text='PTC(kg) :', font=('HIND Light', 20), ) canvas.create_text( 80, 390, text='PTV(kg) :', font=('HIND Light', 20), ) immatriculationVehicule_entry = Entry( root, textvariable=immatriculationVehicule) immatriculationVehicule_entry.insert(END, Vehicule[2]) immatriculationVehicule_entry.config(highlightbackground='#eeeeee', foreground="#ff6815", background='#eeeeee') immatriculationVehicule_entry_canvas = canvas.create_window( 200, 170, anchor="nw", window=immatriculationVehicule_entry, ) designationVehicule_entry = Entry( root, textvariable=designationVehicule) designationVehicule_entry.insert(END, Vehicule[1]) designationVehicule_entry.config(highlightbackground='#eeeeee', foreground="#ff6815", background='#eeeeee') designationVehicule_entry_canvas = canvas.create_window( 200, 220, anchor="nw", window=designationVehicule_entry, ) typeVehicule_entry = Entry(root, textvariable=typeVehicule) typeVehicule_entry.insert(END, Vehicule[3]) typeVehicule_entry.config(highlightbackground='#eeeeee', foreground="#ff6815", background='#eeeeee') typeVehicule_entry_canvas = canvas.create_window( 200, 270, anchor="nw", window=typeVehicule_entry, ) ptcVehicule_entry = Entry(root, textvariable=ptcVehicule) ptcVehicule_entry.insert(END, Vehicule[4]) ptcVehicule_entry.config(highlightbackground='#eeeeee', foreground="#ff6815", background='#eeeeee') ptcVehicule_entry_canvas = canvas.create_window( 200, 320, anchor="nw", window=ptcVehicule_entry, ) ptvVehicule_entry = Entry(root, textvariable=ptvVehicule) ptvVehicule_entry.insert(END, Vehicule[5]) ptvVehicule_entry.config(highlightbackground='#eeeeee', foreground="#ff6815", background='#eeeeee') ptvVehicule_entry_canvas = canvas.create_window( 200, 370, anchor="nw", window=ptvVehicule_entry, ) else: canvas.create_text( 80, 190, text='Immatriculation :', font=('HIND Light', 20), ) canvas.create_text( 80, 240, text='Libellé :', font=('HIND Light', 20), ) canvas.create_text( 80, 290, text='Type:', font=('HIND Light', 20), ) canvas.create_text( 80, 340, text='PTC(kg) :', font=('HIND Light', 20), ) canvas.create_text( 80, 390, text='PTV(kg) :', font=('HIND Light', 20), ) immatriculationVehicule_entry = Entry( root, textvariable=immatriculationVehicule) immatriculationVehicule_entry.config(highlightbackground='#eeeeee', foreground="#ff6815", background='#eeeeee') immatriculationVehicule_entry_canvas = canvas.create_window( 200, 170, anchor="nw", window=immatriculationVehicule_entry, ) designationVehicule_entry = Entry( root, textvariable=designationVehicule) designationVehicule_entry.config(highlightbackground='#eeeeee', foreground="#ff6815", background='#eeeeee') designationVehicule_entry_canvas = canvas.create_window( 200, 220, anchor="nw", window=designationVehicule_entry, ) typeVehicule_entry = Entry(root, textvariable=typeVehicule) typeVehicule_entry.config(highlightbackground='#eeeeee', foreground="#ff6815", background='#eeeeee') typeVehicule_entry_canvas = canvas.create_window( 200, 270, anchor="nw", window=typeVehicule_entry, ) ptcVehicule_entry = Entry(root, textvariable=ptcVehicule) ptcVehicule_entry.config(highlightbackground='#eeeeee', foreground="#ff6815", background='#eeeeee') ptcVehicule_entry_canvas = canvas.create_window( 200, 320, anchor="nw", window=ptcVehicule_entry, ) ptvVehicule_entry = Entry(root, textvariable=ptvVehicule) ptvVehicule_entry.config(highlightbackground='#eeeeee', foreground="#ff6815", background='#eeeeee') ptvVehicule_entry_canvas = canvas.create_window( 200, 370, anchor="nw", window=ptvVehicule_entry, ) root.bind("<Button 1>", triangleClicked) root.bind("<Return>", enter_Tapped) root.bind('<KP_Enter>', enter_Tapped) root.resizable(0, 0) root.mainloop() def Formulaire_MRemorque(Remorque): root = tk.Toplevel(app) root.title("Modifier Remorque") image = Image.open( '/Users/ikama/Desktop/Logistics_SOMAGEC/DATABASE/Form.png') # Reszie the image using resize() method resize_image = image.resize((500, 750)) def triangleClicked(eventorigin): global x, y x = eventorigin.x y = eventorigin.y if ((418 <= x <= 427 and 683 <= y <= 716) or (418 <= x <= 452 and 709 <= y <= 716) or (427 <= x <= 452 and 683 <= y <= 709)): print("CLICK") edit() def enter_Tapped(event): print("enter") edit() def edit(): modifier_remorque(designationRemorque_entry.get(), typeRemorque_entry.get( ), ptcRemorque_entry.get(), ptvRemorque_entry.get(), immatriculationRemorque_entry.get()) messagebox.showinfo("showinfo", "modification de " + designationRemorque_entry.get()+" Reussis ") root.img = ImageTk.PhotoImage(resize_image) global designationRemorque global typeRemorque global ptcRemorque global ptvRemorque global immatriculationRemorque global designationRemorque_entry global typeRemorque_entry global immatriculationRemorque_entry global ptcRemorque_entry global ptvRemorque_entry designationRemorque = StringVar() typeRemorque = StringVar() immatriculationRemorque = StringVar() ptcRemorque = StringVar() ptvRemorque = StringVar() canvas = Canvas( root, width=500, height=1000, bg="#2d5b6b", bd=0, highlightthickness=0 ) canvas.pack(fill='both', expand=True) canvas.create_image( 0, 0, image=root.img, anchor="nw" ) if Remorque != []: canvas.create_text( 80, 190, text='Immatriculation :', font=('HIND Light', 20), ) canvas.create_text( 80, 240, text='Libellé :', font=('HIND Light', 20), ) canvas.create_text( 80, 290, text='Type:', font=('HIND Light', 20), ) canvas.create_text( 80, 340, text='PTC(kg) :', font=('HIND Light', 20), ) canvas.create_text( 80, 390, text='PTV(kg) :', font=('HIND Light', 20), ) immatriculationRemorque_entry = Entry( root, textvariable=immatriculationRemorque) immatriculationRemorque_entry.insert(END, Remorque[2]) immatriculationRemorque_entry.config(highlightbackground='#eeeeee', foreground="#ff6815", background='#eeeeee') immatriculationRemorque_entry_canvas = canvas.create_window( 200, 170, anchor="nw", window=immatriculationRemorque_entry, ) designationRemorque_entry = Entry( root, textvariable=designationRemorque) designationRemorque_entry.insert(END, Remorque[1]) designationRemorque_entry.config(highlightbackground='#eeeeee', foreground="#ff6815", background='#eeeeee') designationRemorque_entry_canvas = canvas.create_window( 200, 220, anchor="nw", window=designationRemorque_entry, ) typeRemorque_entry = Entry(root, textvariable=typeRemorque) typeRemorque_entry.insert(END, Remorque[3]) typeRemorque_entry.config(highlightbackground='#eeeeee', foreground="#ff6815", background='#eeeeee') typeRemorque_entry_canvas = canvas.create_window( 200, 270, anchor="nw", window=typeRemorque_entry, ) ptcRemorque_entry = Entry(root, textvariable=ptcRemorque) ptcRemorque_entry.insert(END, Remorque[4]) ptcRemorque_entry.config(highlightbackground='#eeeeee', foreground="#ff6815", background='#eeeeee') ptcRemorque_entry_canvas = canvas.create_window( 200, 320, anchor="nw", window=ptcRemorque_entry, ) ptvRemorque_entry = Entry(root, textvariable=ptvRemorque) ptvRemorque_entry.insert(END, Remorque[5]) ptvRemorque_entry.config(highlightbackground='#eeeeee', foreground="#ff6815", background='#eeeeee') ptvRemorque_entry_canvas = canvas.create_window( 200, 370, anchor="nw", window=ptvRemorque_entry, ) else: canvas.create_text( 80, 190, text='Immatriculation :', font=('HIND Light', 20), ) canvas.create_text( 80, 240, text='Libellé :', font=('HIND Light', 20), ) canvas.create_text( 80, 290, text='Type:', font=('HIND Light', 20), ) canvas.create_text( 80, 340, text='PTC(kg) :', font=('HIND Light', 20), ) canvas.create_text( 80, 390, text='PTV(kg) :', font=('HIND Light', 20), ) immatriculationRemorque_entry = Entry( root, textvariable=immatriculationRemorque) immatriculationRemorque_entry.config(highlightbackground='#eeeeee', foreground="#ff6815", background='#eeeeee') immatriculationRemorque_entry_canvas = canvas.create_window( 200, 170, anchor="nw", window=immatriculationRemorque_entry, ) designationRemorque_entry = Entry( root, textvariable=designationRemorque) designationRemorque_entry.config(highlightbackground='#eeeeee', foreground="#ff6815", background='#eeeeee') designationRemorque_entry_canvas = canvas.create_window( 200, 220, anchor="nw", window=designationRemorque_entry, ) typeRemorque_entry = Entry(root, textvariable=typeRemorque) typeRemorque_entry.config(highlightbackground='#eeeeee', foreground="#ff6815", background='#eeeeee') typeRemorque_entry_canvas = canvas.create_window( 200, 270, anchor="nw", window=typeRemorque_entry, ) ptcRemorque_entry = Entry(root, textvariable=ptcRemorque) ptcRemorque_entry.config(highlightbackground='#eeeeee', foreground="#ff6815", background='#eeeeee') ptcRemorque_entry_canvas = canvas.create_window( 200, 320, anchor="nw", window=ptcRemorque_entry, ) ptvRemorque_entry = Entry(root, textvariable=ptvRemorque) ptvRemorque_entry.config(highlightbackground='#eeeeee', foreground="#ff6815", background='#eeeeee') ptvRemorque_entry_canvas = canvas.create_window( 200, 370, anchor="nw", window=ptvRemorque_entry, ) root.bind("<Button 1>", triangleClicked) root.bind("<Return>", enter_Tapped) root.bind('<KP_Enter>', enter_Tapped) root.resizable(0, 0) root.mainloop() def Formulaire_MEngin(Engin): root = tk.Toplevel(app) root.title("Modifier Engin") image = Image.open( '/Users/ikama/Desktop/Logistics_SOMAGEC/DATABASE/Form.png') # Reszie the image using resize() method resize_image = image.resize((500, 750)) def triangleClicked(eventorigin): global x, y x = eventorigin.x y = eventorigin.y if ((418 <= x <= 427 and 683 <= y <= 716) or (418 <= x <= 452 and 709 <= y <= 716) or (427 <= x <= 452 and 683 <= y <= 709)): print("CLICK") edit() def enter_Tapped(event): print("enter") edit() def edit(): modifier_engin(designationEngin_entry.get(), poidsEngin_entry.get( ), codeEngin_entry.get()) messagebox.showinfo("showinfo", "modification de " + designationEngin_entry.get()+" Reussis ") root.img = ImageTk.PhotoImage(resize_image) global designationEngin global poidsEngin global codeEngin global designationEngin_entry global poidsEngin_entry global codeEngin_entry designationEngin = StringVar() poidsEngin = StringVar() codeEngin = StringVar() canvas = Canvas( root, width=500, height=1000, bg="#2d5b6b", bd=0, highlightthickness=0 ) canvas.pack(fill='both', expand=True) canvas.create_image( 0, 0, image=root.img, anchor="nw" ) if Engin != []: canvas.create_text( 80, 190, text='Code :', font=('HIND Light', 20), ) canvas.create_text( 80, 240, text='Libellé :', font=('HIND Light', 20), ) canvas.create_text( 80, 290, text='Poids (Kg):', font=('HIND Light', 20), ) codeEngin_entry = Entry( root, textvariable=codeEngin) codeEngin_entry.insert(END, Engin[0]) codeEngin_entry.config(highlightbackground='#eeeeee', foreground="#ff6815", background='#eeeeee') codeEngin_entry_canvas = canvas.create_window( 200, 170, anchor="nw", window=codeEngin_entry, ) designationEngin_entry = Entry(root, textvariable=designationEngin) designationEngin_entry.insert(END, Engin[1]) designationEngin_entry.config(highlightbackground='#eeeeee', foreground="#ff6815", background='#eeeeee') designationEngin_entry_canvas = canvas.create_window( 200, 220, anchor="nw", window=designationEngin_entry, ) poidsEngin_entry = Entry(root, textvariable=poidsEngin) poidsEngin_entry.insert(END, Engin[2]) poidsEngin_entry.config(highlightbackground='#eeeeee', foreground="#ff6815", background='#eeeeee') typeRemorque_entry_canvas = canvas.create_window( 200, 270, anchor="nw", window=poidsEngin_entry, ) else: canvas.create_text( 80, 190, text='Code :', font=('HIND Light', 20), ) canvas.create_text( 80, 240, text='Libellé :', font=('HIND Light', 20), ) canvas.create_text( 80, 290, text='Poids (Kg):', font=('HIND Light', 20), ) codeEngin_entry = Entry( root, textvariable=codeEngin) codeEngin_entry.config(highlightbackground='#eeeeee', foreground="#ff6815", background='#eeeeee') codeEngin_entry_canvas = canvas.create_window( 200, 170, anchor="nw", window=codeEngin_entry, ) designationEngin_entry = Entry(root, textvariable=designationEngin) designationEngin_entry.config(highlightbackground='#eeeeee', foreground="#ff6815", background='#eeeeee') designationEngin_entry_canvas = canvas.create_window( 200, 220, anchor="nw", window=designationEngin_entry, ) poidsEngin_entry = Entry(root, textvariable=poidsEngin) poidsEngin_entry.config(highlightbackground='#eeeeee', foreground="#ff6815", background='#eeeeee') typeRemorque_entry_canvas = canvas.create_window( 200, 270, anchor="nw", window=poidsEngin_entry, ) root.bind("<Button 1>", triangleClicked) root.bind("<Return>", enter_Tapped) root.bind('<KP_Enter>', enter_Tapped) root.resizable(0, 0) root.mainloop() class Tableau_Donnees(tk.Frame): def __init__(self, parent): self.parents = parent tk.Frame.__init__(self, parent) tabs = ttk.Notebook(self) tab1 = tk.Frame(tabs, background="#2d5b6b") tab2 = tk.Frame(tabs, background="#2d5b6b") tab3 = tk.Frame(tabs, background="#2d5b6b") tab4 = tk.Frame(tabs, background="#2d5b6b") tab5 = tk.Frame(tabs, background="#2d5b6b") imC = Image.open('DATABASE/Assets/image/chantier.png') resize_imageC = imC.resize((24, 19)) self.phC = ImageTk.PhotoImage(resize_imageC) imV = Image.open('DATABASE/Assets/image/vehicule.png') resize_imageV = imV.resize((25, 20)) self.phV = ImageTk.PhotoImage(resize_imageV) imR = Image.open('DATABASE/Assets/image/remorque.png') resize_imageR = imR.resize((25, 20)) self.phR = ImageTk.PhotoImage(resize_imageR) imE = Image.open('DATABASE/Assets/image/engin.png') resize_imageE = imE.resize((25, 20)) self.phE = ImageTk.PhotoImage(resize_imageE) imP = Image.open('DATABASE/Assets/image/personnel.png') resize_imageP = imP.resize((25, 20)) self.phP = ImageTk.PhotoImage(resize_imageP) tabs.add(tab1, text='Chantiers',image=self.phC,compound='left') tabs.add(tab2, text='Vehicules',image=self.phV,compound='left') tabs.add(tab3, text='Remorques',image=self.phR,compound='left') tabs.add(tab4, text='Engins',image=self.phE,compound='left') tabs.add(tab5, text='Personnel',image=self.phP,compound='left') style = ttk.Style() BG_COLOUR="#2d5b6b" style.theme_create( "name", parent="alt", settings = { ".": {"configure": {"background": BG_COLOUR, "foreground": "black", "font": ("HIND", 12), "relief": "flat"}}, "TLabel": {"configure": {"foreground": "white", "padding": 10 }}, "TNotebook": {"configure": {"tabmargins": [2, 5, 2, 0]} }, "TNotebook.Tab": { "configure": {"relief" : "flat", "foreground": "white", "bordercolor" : BG_COLOUR, "darkcolor" : BG_COLOUR, "borderwifth":0, "lightcolor" : BG_COLOUR, "padding": [5, 1], "background": BG_COLOUR }, "map": {"background": [("selected", "#456975")], "foreground": [("selected", "#ff6815")], "expand": [("selected", [1, 1, 1, 0])]}}, "Treeview":{ "configure":{ "foreground":"#000000", "rowheight":20, "relief":"flat", "fieldbackground":"#E1E1E1"}, "map": {"background": [("selected", BG_COLOUR)], "foreground": [("selected", "white")], } }, "Treeview.Heading":{ "configure":{ "background":BG_COLOUR, "foreground":"white" } } }) style.theme_use("name") table1 = Table(tab1, headings=('code', 'intitule', 'adresse', 'ville', 'nom responsable'), rows=get_table_Chantier()) table1.pack(expand=tk.YES, fill=tk.BOTH) ButtonFont = tkinter.font.Font( family='HIND Light', size=16) button_Ajouter = tk.Button( tab1, text="Ajouter", highlightbackground="#2d5b6b", font=ButtonFont, foreground='#189E11', command=lambda: Formulaire_Chantier()) button_Ajouter.pack(padx=10, pady=10, side=tk.LEFT) button_Modifier = tk.Button( tab1, text="Modifier", highlightbackground="#2d5b6b", font=ButtonFont, foreground='#0E4ED6', command=lambda: Formulaire_MChantier(table1.GetSelected())) button_Modifier.pack(padx=10, pady=10, side=tk.LEFT) button_Supprimer = tk.Button( tab1, text="Supprimer", highlightbackground="#2d5b6b", font=ButtonFont, foreground='#D60A0A') button_Supprimer.pack(padx=10, pady=10, side=tk.LEFT) button_refresh = tk.Button(tab1, text="refresh", font=ButtonFont, highlightbackground="#2d5b6b", command=lambda: self.refresh_table(self.parents)) button_refresh.pack(padx=10, pady=10, side=tk.RIGHT) table2 = Table(tab2, headings=('code', 'designation', 'immatriculation', 'type', 'ptc', 'ptv'), rows=get_table_Parc_Vehicule()) table2.pack(expand=tk.YES, fill=tk.BOTH) button_Ajouter = tk.Button( tab2, text="Ajouter", highlightbackground="#2d5b6b", font=ButtonFont, foreground='#189E11', command=lambda: Formulaire_Vehicule()) button_Ajouter.pack(padx=10, pady=10, side=tk.LEFT) button_Modifier = tk.Button( tab2, text="Modifier", highlightbackground="#2d5b6b", font=ButtonFont, foreground='#0E4ED6', command=lambda: Formulaire_MVehicule(table2.GetSelected())) button_Modifier.pack(padx=10, pady=10, side=tk.LEFT) button_Supprimer = tk.Button( tab2, text="Supprimer", highlightbackground="#2d5b6b", font=ButtonFont, foreground='#D60A0A') button_Supprimer.pack(padx=10, pady=10, side=tk.LEFT) button_refresh = tk.Button( tab2, text="refresh", highlightbackground="#2d5b6b", font=ButtonFont, command=lambda: self.refresh_table(self.parents)) button_refresh.pack(padx=10, pady=10, side=tk.RIGHT) table3 = Table(tab3, headings=('code', 'designation', 'immatriculation', 'type', 'ptc', 'ptv'), rows=get_table_Parc_Remorque()) table3.pack(expand=tk.YES, fill=tk.BOTH) button_Ajouter = tk.Button( tab3, text="Ajouter", font=ButtonFont, highlightbackground="#2d5b6b", foreground='#189E11', command=lambda: Formulaire_Remorque()) button_Ajouter.pack(padx=10, pady=10, side=tk.LEFT) button_Modifier = tk.Button( tab3, text="Modifier", font=ButtonFont, highlightbackground="#2d5b6b", foreground='#0E4ED6', command=lambda: Formulaire_MRemorque(table3.GetSelected())) button_Modifier.pack(padx=10, pady=10, side=tk.LEFT) button_Supprimer = tk.Button( tab3, text="Supprimer", font=ButtonFont, highlightbackground="#2d5b6b", foreground='#D60A0A') button_Supprimer.pack(padx=10, pady=10, side=tk.LEFT) button_refresh = tk.Button(tab3, text="refresh", font=ButtonFont, highlightbackground="#2d5b6b", command=lambda: self.refresh_table(self.parents)) button_refresh.pack(padx=10, pady=10, side=tk.RIGHT) table4 = Table(tab4, headings=('code', 'designation', 'poids'), rows=get_table_Parc_Engin()) table4.pack(expand=tk.YES, fill=tk.BOTH) button_Ajouter = tk.Button( tab4, text="Ajouter", font=ButtonFont, highlightbackground="#2d5b6b", foreground='#189E11') button_Ajouter.pack(padx=10, pady=10, side=tk.LEFT) button_Modifier = tk.Button( tab4, text="Modifier", font=ButtonFont, highlightbackground="#2d5b6b", foreground='#0E4ED6', command=lambda: Formulaire_MEngin(table4.GetSelected())) button_Modifier.pack(padx=10, pady=10, side=tk.LEFT) button_Supprimer = tk.Button( tab4, text="Supprimer", font=ButtonFont, highlightbackground="#2d5b6b", foreground='#D60A0A', command=lambda: [delete_engin(1)]) button_Supprimer.pack(padx=10, pady=10, side=tk.LEFT) button_refresh = tk.Button(tab4, text="refresh", font=ButtonFont, highlightbackground="#2d5b6b", command=lambda: self.refresh_table(self.parents)) button_refresh.pack(padx=10, pady=10, side=tk.RIGHT) table5 = Table(tab5, headings=('matricule', 'nom', 'prenom', 'fonction'), rows=get_table_Chauffeurs_Graisseurs()) table5.pack(expand=tk.YES, fill=tk.BOTH) button_Ajouter = tk.Button( tab5, text="Ajouter", font=ButtonFont, highlightbackground="#2d5b6b", foreground='#189E11', command=lambda: Formulaire_Personnels()) button_Ajouter.pack(padx=10, pady=10, side=tk.LEFT) button_Modifier = tk.Button( tab5, text="Modifier", font=ButtonFont, highlightbackground="#2d5b6b", foreground='#0E4ED6') button_Modifier.pack(padx=10, pady=10, side=tk.LEFT) button_Supprimer = tk.Button( tab5, text="Supprimer", font=ButtonFont, highlightbackground="#2d5b6b", foreground='#D60A0A') button_Supprimer.pack(padx=10, pady=10, side=tk.LEFT) button_refresh = tk.Button(tab5, text="refresh", font=ButtonFont, highlightbackground="#2d5b6b", command=lambda: self.refresh_table(self.parents)) button_refresh.pack(padx=10, pady=10, side=tk.RIGHT) tabs.pack(fill="both", expand=True) def refresh_table(self, rot): self.destroy() self.__init__(rot) self.pack(pady=10, fill="both", expand=True) print("Refreshed") if __name__ == "__main__": root = Tk() print("original") my_gui = Tableau_Donnees(root) my_gui.pack(pady=10, fill="both", expand=True) btn = Button(root, text="refresh", command=lambda: my_gui.refresh_table(root)) btn.pack(side='bottom') root.mainloop()

32.435883

164

0.566908

5,115

56,406

6.116129

0.056305

0.046414

0.028641

0.032221

0.858586

0.837649

0.83247

0.813994

0.798747

0

0.047655

0.320321

56,406

1,738

165

32.454545

0.76835

0.006205

0

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0

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0.01199

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0.024564

false

0

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0

null

0

1

0

1

0

null

0

7

c8fc3003c6e3f27cbc4e4469693cbec4da88d162

3,297

py

Python

test_cases.py

kugiyasan/sudoku_solver

9fb14474d13e561e4188c7723c81105f5bf34622

[ "MIT" ]

null

test_cases.py

kugiyasan/sudoku_solver

9fb14474d13e561e4188c7723c81105f5bf34622

[ "MIT" ]

null

test_cases.py

kugiyasan/sudoku_solver

9fb14474d13e561e4188c7723c81105f5bf34622

[ "MIT" ]

null

from typing import List from hard_sudoku_solver import sudoku_solver, generate_solutions def print_all_solutions(puzzle: List[List[int]]) -> None: solutions = generate_solutions(puzzle) for solution in solutions: print(solution) if __name__ == "__main__": puzzle1 = [ [0, 1, 0, 4], [4, 0, 0, 0], [0, 0, 0, 2], [2, 0, 3, 0], ] solution1 = [ [3, 1, 2, 4], [4, 2, 1, 3], [1, 3, 4, 2], [2, 4, 3, 1], ] puzzle2 = [ [0, 0, 6, 1, 0, 0, 0, 0, 8], [0, 8, 0, 0, 9, 0, 0, 3, 0], [2, 0, 0, 0, 0, 5, 4, 0, 0], [4, 0, 0, 0, 0, 1, 8, 0, 0], [0, 3, 0, 0, 7, 0, 0, 4, 0], [0, 0, 7, 9, 0, 0, 0, 0, 3], [0, 0, 8, 4, 0, 0, 0, 0, 6], [0, 2, 0, 0, 5, 0, 0, 8, 0], [1, 0, 0, 0, 0, 2, 5, 0, 0], ] solution2 = [ [3, 4, 6, 1, 2, 7, 9, 5, 8], [7, 8, 5, 6, 9, 4, 1, 3, 2], [2, 1, 9, 3, 8, 5, 4, 6, 7], [4, 6, 2, 5, 3, 1, 8, 7, 9], [9, 3, 1, 2, 7, 8, 6, 4, 5], [8, 5, 7, 9, 4, 6, 2, 1, 3], [5, 9, 8, 4, 1, 3, 7, 2, 6], [6, 2, 4, 7, 5, 9, 3, 8, 1], [1, 7, 3, 8, 6, 2, 5, 9, 4], ] puzzle3 = [ [5, 3, 0, 0, 7, 0, 0, 0, 0], [6, 0, 0, 1, 9, 5, 0, 0, 0], [0, 9, 8, 0, 0, 0, 0, 6, 0], [8, 0, 0, 0, 6, 0, 0, 0, 3], [4, 0, 0, 8, 0, 3, 0, 0, 1], [7, 0, 0, 0, 2, 0, 0, 0, 6], [0, 6, 0, 0, 0, 0, 2, 8, 0], [0, 0, 0, 4, 1, 9, 0, 0, 5], [0, 0, 0, 0, 8, 0, 0, 7, 9], ] solution3 = [ [5, 3, 4, 6, 7, 8, 9, 1, 2], [6, 7, 2, 1, 9, 5, 3, 4, 8], [1, 9, 8, 3, 4, 2, 5, 6, 7], [8, 5, 9, 7, 6, 1, 4, 2, 3], [4, 2, 6, 8, 5, 3, 7, 9, 1], [7, 1, 3, 9, 2, 4, 8, 5, 6], [9, 6, 1, 5, 3, 7, 2, 8, 4], [2, 8, 7, 4, 1, 9, 6, 3, 5], [3, 4, 5, 2, 8, 6, 1, 7, 9], ] A = 10 B = 11 C = 12 D = 13 E = 14 F = 15 G = 16 puzzle4 = [ [0, 0, 0, 0, G, C, 2, 0, 0, 7, 0, 0, 0, 0, 0, 0], [0, 0, 8, 0, 0, F, 3, 9, 0, 1, 0, 5, 4, 6, 0, 0], [B, 0, 0, E, D, 4, 0, 0, 6, 2, 0, 0, 3, A, 0, 5], [5, 0, 0, 0, 0, 0, 0, 0, 0, 0, G, 0, 0, F, 0, 0], [0, 0, E, A, 0, 6, 4, 0, 0, 0, 0, 0, 0, 0, 7, 8], [0, 0, 0, 1, A, 9, 0, 3, 4, 0, 0, 0, 0, 0, 0, 6], [0, 4, 2, 0, 0, 0, 0, 0, 8, 3, 5, 0, A, 0, D, 9], [0, 0, 0, 9, 0, 5, 0, 0, C, 0, D, 0, E, 0, 0, 3], [G, 0, 0, 0, 3, 0, C, 0, 0, 0, 0, 2, D, 0, 0, 0], [0, 7, 0, 0, 2, A, B, F, 0, 0, 0, 0, 0, 0, 0, 0], [0, 8, 0, 0, 0, 0, 7, G, 3, 0, 1, B, 0, 2, 0, 0], [1, 0, 0, 0, 0, D, 0, 0, F, 0, 0, 0, 0, C, 0, G], [0, 2, 5, 0, 8, 0, G, 0, 0, 0, F, 0, 9, 0, 0, 0], [A, 0, 3, B, 0, 0, 0, 0, E, D, 0, 0, 0, 0, 8, 0], [9, 0, 0, 0, E, 0, A, 0, 0, G, 0, 0, 5, 0, F, 0], [0, 0, 1, G, 0, 0, 6, 0, 2, 0, 0, C, 0, B, 4, 0], ] solution = sudoku_solver(puzzle1) # print(solution) print_all_solutions(puzzle2) # print_all_solutions(puzzle3) # print_all_solutions(puzzle4) # import timeit # def stmt(): # solution = generate_solutions(puzzle2) # next(solution) # times = timeit.repeat(stmt, number=10) # print(times)

29.176991

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704

3,297

1.555398

0.082386

0.299543

0.249315

0.182648

0.255708

0.158904

0.090411

0.029224

0.020091

0

0.308884

0.4128

3,297

112

65

29.4375

0.256715

0.064604

0

1

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0

1

0.011111

false

0

0.022222

0

0.033333

0

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null

1

0

1

0

1

0

1

0

null

0

7

a8128bc08c69f2671806e2e481ab9dd8cfaddaed

61

py

Python

shape_decoding/libs/utils/__init__.py

virajg224/shape_texture_neuron

c70d664e4dcba03163e8203dba0e51e44d46aefd

[ "MIT" ]

13

2021-05-04T03:20:37.000Z

2022-03-31T09:59:59.000Z

shape_decoding/libs/utils/__init__.py

virajg224/shape_texture_neuron

c70d664e4dcba03163e8203dba0e51e44d46aefd

[ "MIT" ]

1

2022-03-29T12:12:11.000Z

shape_decoding/libs/utils/__init__.py

virajg224/shape_texture_neuron

c70d664e4dcba03163e8203dba0e51e44d46aefd

[ "MIT" ]

2

2021-09-30T12:54:24.000Z

2021-12-03T16:28:30.000Z

from libs.utils.loss import * from libs.utils.metric import *

30.5

31

0.786885

10

61

4.8

0.6

0.333333

0.541667

0

0.114754

61

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true

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1

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0

7

b5270374f2021ef02204c89dd1fcf6124e3dd1d2

468

py

Python

02.Modern Python 3 Bootcamp - CS/13.Lists Comprehensions/exercise.py

ptyadana/python-dojo

98c7234b84f0afea99a091c7198342d66bbdff5b

[ "MIT" ]

3

2020-06-01T04:17:18.000Z

2020-12-18T03:05:55.000Z

02.Modern Python 3 Bootcamp - CS/13.Lists Comprehensions/exercise.py

ptyadana/python-dojo

98c7234b84f0afea99a091c7198342d66bbdff5b

[ "MIT" ]

1

2020-04-25T08:01:59.000Z

02.Modern Python 3 Bootcamp - CS/13.Lists Comprehensions/exercise.py

ptyadana/python-dojo

98c7234b84f0afea99a091c7198342d66bbdff5b

[ "MIT" ]

7

2020-04-26T10:02:36.000Z

2021-06-08T05:12:46.000Z

""" To generate the following using a nested list comprehension: [ [0, 1, 2, 3, 4, 5, 6, 7, 8, 9], [0, 1, 2, 3, 4, 5, 6, 7, 8, 9], [0, 1, 2, 3, 4, 5, 6, 7, 8, 9], [0, 1, 2, 3, 4, 5, 6, 7, 8, 9], [0, 1, 2, 3, 4, 5, 6, 7, 8, 9], [0, 1, 2, 3, 4, 5, 6, 7, 8, 9], [0, 1, 2, 3, 4, 5, 6, 7, 8, 9], [0, 1, 2, 3, 4, 5, 6, 7, 8, 9], [0, 1, 2, 3, 4, 5, 6, 7, 8, 9], [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] ] """ lst = [[x for x in range(10)] for item in range(10)] print(lst)

24.631579

60

0.410256

123

468

1.560976

0.219512

0.104167

0.15625

0.208333

0.520833

0

0.314199

0.292735

468

19

61

24.631579

0.265861

0.844017

0

1

0

1

0

false

0

0.5

0

1

null

0

1

0

1

0

1

0

1

0

null

0

1

0

7

b53be20b14ed14fe503d816047bcad627d4020b5

6,683

py

Python

loldib/getratings/models/NA/na_shyvana/na_shyvana_mid.py

koliupy/loldib

c9ab94deb07213cdc42b5a7c26467cdafaf81b7f

[ "Apache-2.0" ]

null

loldib/getratings/models/NA/na_shyvana/na_shyvana_mid.py

koliupy/loldib

c9ab94deb07213cdc42b5a7c26467cdafaf81b7f

[ "Apache-2.0" ]

null

loldib/getratings/models/NA/na_shyvana/na_shyvana_mid.py

koliupy/loldib

c9ab94deb07213cdc42b5a7c26467cdafaf81b7f

[ "Apache-2.0" ]

null

from getratings.models.ratings import Ratings class NA_Shyvana_Mid_Aatrox(Ratings): pass class NA_Shyvana_Mid_Ahri(Ratings): pass class NA_Shyvana_Mid_Akali(Ratings): pass class NA_Shyvana_Mid_Alistar(Ratings): pass class NA_Shyvana_Mid_Amumu(Ratings): pass class NA_Shyvana_Mid_Anivia(Ratings): pass class NA_Shyvana_Mid_Annie(Ratings): pass class NA_Shyvana_Mid_Ashe(Ratings): pass class NA_Shyvana_Mid_AurelionSol(Ratings): pass class NA_Shyvana_Mid_Azir(Ratings): pass class NA_Shyvana_Mid_Bard(Ratings): pass class NA_Shyvana_Mid_Blitzcrank(Ratings): pass class NA_Shyvana_Mid_Brand(Ratings): pass class NA_Shyvana_Mid_Braum(Ratings): pass class NA_Shyvana_Mid_Caitlyn(Ratings): pass class NA_Shyvana_Mid_Camille(Ratings): pass class NA_Shyvana_Mid_Cassiopeia(Ratings): pass class NA_Shyvana_Mid_Chogath(Ratings): pass class NA_Shyvana_Mid_Corki(Ratings): pass class NA_Shyvana_Mid_Darius(Ratings): pass class NA_Shyvana_Mid_Diana(Ratings): pass class NA_Shyvana_Mid_Draven(Ratings): pass class NA_Shyvana_Mid_DrMundo(Ratings): pass class NA_Shyvana_Mid_Ekko(Ratings): pass class NA_Shyvana_Mid_Elise(Ratings): pass class NA_Shyvana_Mid_Evelynn(Ratings): pass class NA_Shyvana_Mid_Ezreal(Ratings): pass class NA_Shyvana_Mid_Fiddlesticks(Ratings): pass class NA_Shyvana_Mid_Fiora(Ratings): pass class NA_Shyvana_Mid_Fizz(Ratings): pass class NA_Shyvana_Mid_Galio(Ratings): pass class NA_Shyvana_Mid_Gangplank(Ratings): pass class NA_Shyvana_Mid_Garen(Ratings): pass class NA_Shyvana_Mid_Gnar(Ratings): pass class NA_Shyvana_Mid_Gragas(Ratings): pass class NA_Shyvana_Mid_Graves(Ratings): pass class NA_Shyvana_Mid_Hecarim(Ratings): pass class NA_Shyvana_Mid_Heimerdinger(Ratings): pass class NA_Shyvana_Mid_Illaoi(Ratings): pass class NA_Shyvana_Mid_Irelia(Ratings): pass class NA_Shyvana_Mid_Ivern(Ratings): pass class NA_Shyvana_Mid_Janna(Ratings): pass class NA_Shyvana_Mid_JarvanIV(Ratings): pass class NA_Shyvana_Mid_Jax(Ratings): pass class NA_Shyvana_Mid_Jayce(Ratings): pass class NA_Shyvana_Mid_Jhin(Ratings): pass class NA_Shyvana_Mid_Jinx(Ratings): pass class NA_Shyvana_Mid_Kalista(Ratings): pass class NA_Shyvana_Mid_Karma(Ratings): pass class NA_Shyvana_Mid_Karthus(Ratings): pass class NA_Shyvana_Mid_Kassadin(Ratings): pass class NA_Shyvana_Mid_Katarina(Ratings): pass class NA_Shyvana_Mid_Kayle(Ratings): pass class NA_Shyvana_Mid_Kayn(Ratings): pass class NA_Shyvana_Mid_Kennen(Ratings): pass class NA_Shyvana_Mid_Khazix(Ratings): pass class NA_Shyvana_Mid_Kindred(Ratings): pass class NA_Shyvana_Mid_Kled(Ratings): pass class NA_Shyvana_Mid_KogMaw(Ratings): pass class NA_Shyvana_Mid_Leblanc(Ratings): pass class NA_Shyvana_Mid_LeeSin(Ratings): pass class NA_Shyvana_Mid_Leona(Ratings): pass class NA_Shyvana_Mid_Lissandra(Ratings): pass class NA_Shyvana_Mid_Lucian(Ratings): pass class NA_Shyvana_Mid_Lulu(Ratings): pass class NA_Shyvana_Mid_Lux(Ratings): pass class NA_Shyvana_Mid_Malphite(Ratings): pass class NA_Shyvana_Mid_Malzahar(Ratings): pass class NA_Shyvana_Mid_Maokai(Ratings): pass class NA_Shyvana_Mid_MasterYi(Ratings): pass class NA_Shyvana_Mid_MissFortune(Ratings): pass class NA_Shyvana_Mid_MonkeyKing(Ratings): pass class NA_Shyvana_Mid_Mordekaiser(Ratings): pass class NA_Shyvana_Mid_Morgana(Ratings): pass class NA_Shyvana_Mid_Nami(Ratings): pass class NA_Shyvana_Mid_Nasus(Ratings): pass class NA_Shyvana_Mid_Nautilus(Ratings): pass class NA_Shyvana_Mid_Nidalee(Ratings): pass class NA_Shyvana_Mid_Nocturne(Ratings): pass class NA_Shyvana_Mid_Nunu(Ratings): pass class NA_Shyvana_Mid_Olaf(Ratings): pass class NA_Shyvana_Mid_Orianna(Ratings): pass class NA_Shyvana_Mid_Ornn(Ratings): pass class NA_Shyvana_Mid_Pantheon(Ratings): pass class NA_Shyvana_Mid_Poppy(Ratings): pass class NA_Shyvana_Mid_Quinn(Ratings): pass class NA_Shyvana_Mid_Rakan(Ratings): pass class NA_Shyvana_Mid_Rammus(Ratings): pass class NA_Shyvana_Mid_RekSai(Ratings): pass class NA_Shyvana_Mid_Renekton(Ratings): pass class NA_Shyvana_Mid_Rengar(Ratings): pass class NA_Shyvana_Mid_Riven(Ratings): pass class NA_Shyvana_Mid_Rumble(Ratings): pass class NA_Shyvana_Mid_Ryze(Ratings): pass class NA_Shyvana_Mid_Sejuani(Ratings): pass class NA_Shyvana_Mid_Shaco(Ratings): pass class NA_Shyvana_Mid_Shen(Ratings): pass class NA_Shyvana_Mid_Shyvana(Ratings): pass class NA_Shyvana_Mid_Singed(Ratings): pass class NA_Shyvana_Mid_Sion(Ratings): pass class NA_Shyvana_Mid_Sivir(Ratings): pass class NA_Shyvana_Mid_Skarner(Ratings): pass class NA_Shyvana_Mid_Sona(Ratings): pass class NA_Shyvana_Mid_Soraka(Ratings): pass class NA_Shyvana_Mid_Swain(Ratings): pass class NA_Shyvana_Mid_Syndra(Ratings): pass class NA_Shyvana_Mid_TahmKench(Ratings): pass class NA_Shyvana_Mid_Taliyah(Ratings): pass class NA_Shyvana_Mid_Talon(Ratings): pass class NA_Shyvana_Mid_Taric(Ratings): pass class NA_Shyvana_Mid_Teemo(Ratings): pass class NA_Shyvana_Mid_Thresh(Ratings): pass class NA_Shyvana_Mid_Tristana(Ratings): pass class NA_Shyvana_Mid_Trundle(Ratings): pass class NA_Shyvana_Mid_Tryndamere(Ratings): pass class NA_Shyvana_Mid_TwistedFate(Ratings): pass class NA_Shyvana_Mid_Twitch(Ratings): pass class NA_Shyvana_Mid_Udyr(Ratings): pass class NA_Shyvana_Mid_Urgot(Ratings): pass class NA_Shyvana_Mid_Varus(Ratings): pass class NA_Shyvana_Mid_Vayne(Ratings): pass class NA_Shyvana_Mid_Veigar(Ratings): pass class NA_Shyvana_Mid_Velkoz(Ratings): pass class NA_Shyvana_Mid_Vi(Ratings): pass class NA_Shyvana_Mid_Viktor(Ratings): pass class NA_Shyvana_Mid_Vladimir(Ratings): pass class NA_Shyvana_Mid_Volibear(Ratings): pass class NA_Shyvana_Mid_Warwick(Ratings): pass class NA_Shyvana_Mid_Xayah(Ratings): pass class NA_Shyvana_Mid_Xerath(Ratings): pass class NA_Shyvana_Mid_XinZhao(Ratings): pass class NA_Shyvana_Mid_Yasuo(Ratings): pass class NA_Shyvana_Mid_Yorick(Ratings): pass class NA_Shyvana_Mid_Zac(Ratings): pass class NA_Shyvana_Mid_Zed(Ratings): pass class NA_Shyvana_Mid_Ziggs(Ratings): pass class NA_Shyvana_Mid_Zilean(Ratings): pass class NA_Shyvana_Mid_Zyra(Ratings): pass

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6,683

416

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1

0

null

0

1

0

1

0

8

b5909e2cbe10122d2cab09958412a91d61a03d73

7,602

py

Python

naf_tf/mafs.py

spinaotey/naf_tf

242112dfd6c0a4a463e7e7065da8459728872f04

[ "MIT" ]

null

naf_tf/mafs.py

spinaotey/naf_tf

242112dfd6c0a4a463e7e7065da8459728872f04

[ "MIT" ]

null

naf_tf/mafs.py

spinaotey/naf_tf

242112dfd6c0a4a463e7e7065da8459728872f04

[ "MIT" ]

null

import numpy as np import tensorflow as tf from naf_tf.flows import IAF_DSF,IAF_DDSF dtype = tf.float32 class MaskedAutoregressiveFlowDSF: """ Implements a Masked Autoregressive Flow, which is a stack of mades such that the random numbers which drive made i are generated by made i-1. The first made is driven by standard gaussian noise. In the current implementation, all mades are of the same type. If there is only one made in the stack, then it's equivalent to a single made. """ def __init__(self, dim, hid_dim, context_dim, num_layers, num_flows, activation=tf.nn.elu, fixed_order=False, num_ds_dim=4, num_ds_layers=1, num_ds_multiplier=3, input=None,context=None): self.dim = dim self.context_dim = context_dim self.num_layers = num_layers self.num_flows = num_flows self.num_ds_dim = num_ds_dim self.num_ds_layers = num_ds_layers self.input = tf.placeholder(dtype=dtype,shape=[None,dim],name='x') if input is None else input if context_dim == 0: self.context = tf.reshape(tf.fill(tf.shape(self.input)[:1], np.float32(1.)),[-1,1]) else: self.context = tf.placeholder(dtype=dtype,shape=[None,context_dim],name='context') if context is None\ else context self.logdet = tf.reshape(tf.fill(tf.shape(self.input)[:1], np.float32(0.)),[-1,1]) self.parms = list() self.flows = list() self.u = self.input for i in range(num_flows): # create a new flow flow = IAF_DSF(dim, hid_dim, context_dim, num_layers, activation, fixed_order, num_ds_dim, num_ds_layers, num_ds_multiplier, input=self.u,context=self.context) self.flows.append(flow) self.parms += flow.parms self.u = flow.output self.logdet += flow.logdet # log likelihoods self.output = self.u self.L = -0.5 * dim * np.log(2 * np.pi) - 0.5 * tf.reduce_sum(self.output ** 2, axis=1,keepdims=True) + \ self.logdet # train objective self.trn_loss = -tf.reduce_mean(self.L,name='trn_loss') def eval(self, X, sess, log=True,batch_size=1000): """ Evaluate log probabilities for given input-context pairs. :param X: a pair (x, y) where x rows are inputs and y rows are context variables :param sess: tensorflow session where the graph is run :param log: whether to return probabilities in the log domain :param batch_size: number of samples to be evaluated in one batch :return: log probabilities: log p(y|x) """ if context_dim == 0: n = len(X)//batch_size lprob = [] for i in range(n): lprob.append(sess.run(self.L,feed_dict={self.input:x[i*batch_size:(i+1)*batch_size]})) if n != len(y)/batch_size: lprob.append(sess.run(self.L,feed_dict={self.input:X[n*batch_size:]})) else: x, y = xy n = len(y)//batch_size lprob = [] for i in range(n): lprob.append(sess.run(self.L,feed_dict={self.input:y[i*batch_size:(i+1)*batch_size], self.context:x[i*batch_size:(i+1)*batch_size]})) if n != len(y)/batch_size: lprob.append(sess.run(self.L,feed_dict={self.input:y[n*batch_size:], self.context:x[n*batch_size:]})) lprob = np.row_stack(lprob) return lprob if log else np.exp(lprob) class MaskedAutoregressiveFlowDDSF: """ Implements a Masked Autoregressive Flow, which is a stack of mades such that the random numbers which drive made i are generated by made i-1. The first made is driven by standard gaussian noise. In the current implementation, all mades are of the same type. If there is only one made in the stack, then it's equivalent to a single made. """ def __init__(self, dim, hid_dim, context_dim, num_layers, num_flows, activation=tf.nn.elu, fixed_order=False, num_ds_dim=4, num_ds_layers=1, num_ds_multiplier=3, input=None,context=None): self.dim = dim self.context_dim = context_dim self.num_layers = num_layers self.num_flows = num_flows self.num_ds_dim = num_ds_dim self.num_ds_layers = num_ds_layers self.input = tf.placeholder(dtype=dtype,shape=[None,dim],name='x') if input is None else input if context_dim == 0: self.context = tf.reshape(tf.fill(tf.shape(self.input)[:1], np.float32(1.)),[-1,1]) else: self.context = tf.placeholder(dtype=dtype,shape=[None,context_dim],name='context') if context is None\ else context self.logdet = tf.reshape(tf.fill(tf.shape(self.input)[:1], np.float32(0.)),[-1,1]) self.parms = list() self.flows = list() self.u = self.input for i in range(num_flows): # create a new flow flow = IAF_DDSF(dim, hid_dim, context_dim, num_layers, activation, fixed_order, num_ds_dim, num_ds_layers, num_ds_multiplier, self.u,self.context) self.flows.append(flow) self.parms += flow.parms self.u = flow.output self.logdet += flow.logdet # log likelihoods self.output = self.u self.L = -0.5 * dim * np.log(2 * np.pi) - 0.5 * tf.reduce_sum(self.output ** 2, axis=1,keepdims=True) + \ self.logdet # train objective self.trn_loss = -tf.reduce_mean(self.L,name='trn_loss') def eval(self, X, sess, log=True,batch_size=1000): """ Evaluate log probabilities for given input-context pairs. :param X: a pair (x, y) where x rows are inputs and y rows are context variables :param sess: tensorflow session where the graph is run :param log: whether to return probabilities in the log domain :param batch_size: number of samples to be evaluated in one batch :return: log probabilities: log p(y|x) """ if self.context_dim == 0: n = len(X)//batch_size lprob = [] for i in range(n): lprob.append(sess.run(self.L,feed_dict={self.input:X[i*batch_size:(i+1)*batch_size]})) if n != len(X)/batch_size: lprob.append(sess.run(self.L,feed_dict={self.input:X[n*batch_size:]})) else: x, y = X n = len(y)//batch_size lprob = [] for i in range(n): lprob.append(sess.run(self.L,feed_dict={self.input:y[i*batch_size:(i+1)*batch_size], self.context:x[i*batch_size:(i+1)*batch_size]})) if n != len(y)/batch_size: lprob.append(sess.run(self.L,feed_dict={self.input:y[n*batch_size:], self.context:x[n*batch_size:]})) lprob = np.row_stack(lprob) return lprob if log else np.exp(lprob)

42.469274

118

0.561168

1,057

7,602

3.904447

0.141911

0.065423

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0.955658

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null

0

1

0

1

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null

0

7

b59d579d0feb28e3492bb756747f4beea0f8b9ff

127

py

Python

python/8Kyu/Generate User Links.py

athasv/Codewars-data

5e106466e709fd776f23585ad9f652d0d65b48d3

[ "MIT" ]

null

python/8Kyu/Generate User Links.py

athasv/Codewars-data

5e106466e709fd776f23585ad9f652d0d65b48d3

[ "MIT" ]

null

python/8Kyu/Generate User Links.py

athasv/Codewars-data

5e106466e709fd776f23585ad9f652d0d65b48d3

[ "MIT" ]

null

def generate_link(user): import urllib.parse return "http://www.codewars.com/users/{}".format(urllib.parse.quote(user))

42.333333

78

0.724409

18

127

5.055556

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0

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127

3

78

42.333333

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null

0

1

0

1

0

1

0

7

a9314e499bff5131df9ce69bfbe5c5eb21028502

73,343

py

Python

snorna/migrations/0009_cnv_acc_cnv_blca_cnv_brca_cnv_cesc_cnv_chol_cnv_coad_cnv_dlbc_cnv_esca_cnv_hnsc_cnv_kich_cnv_kirc_cn.py

chunjie-sam-liu/SNORic

f6d4010a941131a750b34dfa472d7aee2e110131

[ "MIT" ]

null

snorna/migrations/0009_cnv_acc_cnv_blca_cnv_brca_cnv_cesc_cnv_chol_cnv_coad_cnv_dlbc_cnv_esca_cnv_hnsc_cnv_kich_cnv_kirc_cn.py

chunjie-sam-liu/SNORic

f6d4010a941131a750b34dfa472d7aee2e110131

[ "MIT" ]

1

2020-04-14T11:33:30.000Z

snorna/migrations/0009_cnv_acc_cnv_blca_cnv_brca_cnv_cesc_cnv_chol_cnv_coad_cnv_dlbc_cnv_esca_cnv_hnsc_cnv_kich_cnv_kirc_cn.py

chunjie-sam-liu/SNORic

f6d4010a941131a750b34dfa472d7aee2e110131

[ "MIT" ]

1

2018-09-14T08:53:30.000Z

# -*- coding: utf-8 -*- # Generated by Django 1.10.5 on 2017-03-14 20:20 from __future__ import unicode_literals from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('snorna', '0008_mrna_expression_acc'), ] operations = [ migrations.CreateModel( name='cnv_ACC', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('snorna', models.CharField(max_length=225, null=True)), ('dataset_id', models.CharField(max_length=225, null=True)), ('sample_id', models.CharField(max_length=225, null=True)), ('copy', models.FloatField(null=True)), ], ), migrations.CreateModel( name='cnv_BLCA', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('snorna', models.CharField(max_length=225, null=True)), ('dataset_id', models.CharField(max_length=225, null=True)), ('sample_id', models.CharField(max_length=225, null=True)), ('copy', models.FloatField(null=True)), ], ), migrations.CreateModel( name='cnv_BRCA', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('snorna', models.CharField(max_length=225, null=True)), ('dataset_id', models.CharField(max_length=225, null=True)), ('sample_id', models.CharField(max_length=225, null=True)), ('copy', models.FloatField(null=True)), ], ), migrations.CreateModel( name='cnv_CESC', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('snorna', models.CharField(max_length=225, null=True)), ('dataset_id', models.CharField(max_length=225, null=True)), ('sample_id', models.CharField(max_length=225, null=True)), ('copy', models.FloatField(null=True)), ], ), migrations.CreateModel( name='cnv_CHOL', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('snorna', models.CharField(max_length=225, null=True)), ('dataset_id', models.CharField(max_length=225, null=True)), ('sample_id', models.CharField(max_length=225, null=True)), ('copy', models.FloatField(null=True)), ], ), migrations.CreateModel( name='cnv_COAD', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('snorna', models.CharField(max_length=225, null=True)), ('dataset_id', models.CharField(max_length=225, null=True)), ('sample_id', models.CharField(max_length=225, null=True)), ('copy', models.FloatField(null=True)), ], ), migrations.CreateModel( name='cnv_DLBC', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('snorna', models.CharField(max_length=225, null=True)), ('dataset_id', models.CharField(max_length=225, null=True)), ('sample_id', models.CharField(max_length=225, null=True)), ('copy', models.FloatField(null=True)), ], ), migrations.CreateModel( name='cnv_ESCA', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('snorna', models.CharField(max_length=225, null=True)), ('dataset_id', models.CharField(max_length=225, null=True)), ('sample_id', models.CharField(max_length=225, null=True)), ('copy', models.FloatField(null=True)), ], ), migrations.CreateModel( name='cnv_HNSC', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('snorna', models.CharField(max_length=225, null=True)), ('dataset_id', models.CharField(max_length=225, null=True)), ('sample_id', models.CharField(max_length=225, null=True)), ('copy', models.FloatField(null=True)), ], ), migrations.CreateModel( name='cnv_KICH', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('snorna', models.CharField(max_length=225, null=True)), ('dataset_id', models.CharField(max_length=225, null=True)), ('sample_id', models.CharField(max_length=225, null=True)), ('copy', models.FloatField(null=True)), ], ), migrations.CreateModel( name='cnv_KIRC', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('snorna', models.CharField(max_length=225, null=True)), ('dataset_id', models.CharField(max_length=225, null=True)), ('sample_id', models.CharField(max_length=225, null=True)), ('copy', models.FloatField(null=True)), ], ), migrations.CreateModel( name='cnv_KIRP', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('snorna', models.CharField(max_length=225, null=True)), ('dataset_id', models.CharField(max_length=225, null=True)), ('sample_id', models.CharField(max_length=225, null=True)), ('copy', models.FloatField(null=True)), ], ), migrations.CreateModel( name='cnv_LGG', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('snorna', models.CharField(max_length=225, null=True)), ('dataset_id', models.CharField(max_length=225, null=True)), ('sample_id', models.CharField(max_length=225, null=True)), ('copy', models.FloatField(null=True)), ], ), migrations.CreateModel( name='cnv_LIHC', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('snorna', models.CharField(max_length=225, null=True)), ('dataset_id', models.CharField(max_length=225, null=True)), ('sample_id', models.CharField(max_length=225, null=True)), ('copy', models.FloatField(null=True)), ], ), migrations.CreateModel( name='cnv_LUAD', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('snorna', models.CharField(max_length=225, null=True)), ('dataset_id', models.CharField(max_length=225, null=True)), ('sample_id', models.CharField(max_length=225, null=True)), ('copy', models.FloatField(null=True)), ], ), migrations.CreateModel( name='cnv_LUSC', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('snorna', models.CharField(max_length=225, null=True)), ('dataset_id', models.CharField(max_length=225, null=True)), ('sample_id', models.CharField(max_length=225, null=True)), ('copy', models.FloatField(null=True)), ], ), migrations.CreateModel( name='cnv_MESO', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('snorna', models.CharField(max_length=225, null=True)), ('dataset_id', models.CharField(max_length=225, null=True)), ('sample_id', models.CharField(max_length=225, null=True)), ('copy', models.FloatField(null=True)), ], ), migrations.CreateModel( name='cnv_OV', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('snorna', models.CharField(max_length=225, null=True)), ('dataset_id', models.CharField(max_length=225, null=True)), ('sample_id', models.CharField(max_length=225, null=True)), ('copy', models.FloatField(null=True)), ], ), migrations.CreateModel( name='cnv_PAAD', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('snorna', models.CharField(max_length=225, null=True)), ('dataset_id', models.CharField(max_length=225, null=True)), ('sample_id', models.CharField(max_length=225, null=True)), ('copy', models.FloatField(null=True)), ], ), migrations.CreateModel( name='cnv_PCPG', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('snorna', models.CharField(max_length=225, null=True)), ('dataset_id', models.CharField(max_length=225, null=True)), ('sample_id', models.CharField(max_length=225, null=True)), ('copy', models.FloatField(null=True)), ], ), migrations.CreateModel( name='cnv_PRAD', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('snorna', models.CharField(max_length=225, null=True)), ('dataset_id', models.CharField(max_length=225, null=True)), ('sample_id', models.CharField(max_length=225, null=True)), ('copy', models.FloatField(null=True)), ], ), migrations.CreateModel( name='cnv_READ', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('snorna', models.CharField(max_length=225, null=True)), ('dataset_id', models.CharField(max_length=225, null=True)), ('sample_id', models.CharField(max_length=225, null=True)), ('copy', models.FloatField(null=True)), ], ), migrations.CreateModel( name='cnv_SARC', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('snorna', models.CharField(max_length=225, null=True)), ('dataset_id', models.CharField(max_length=225, null=True)), ('sample_id', models.CharField(max_length=225, null=True)), ('copy', models.FloatField(null=True)), ], ), migrations.CreateModel( name='cnv_SKCM', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('snorna', models.CharField(max_length=225, null=True)), ('dataset_id', models.CharField(max_length=225, null=True)), ('sample_id', models.CharField(max_length=225, null=True)), ('copy', models.FloatField(null=True)), ], ), migrations.CreateModel( name='cnv_STAD', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('snorna', models.CharField(max_length=225, null=True)), ('dataset_id', models.CharField(max_length=225, null=True)), ('sample_id', models.CharField(max_length=225, null=True)), ('copy', models.FloatField(null=True)), ], ), migrations.CreateModel( name='cnv_TGCT', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('snorna', models.CharField(max_length=225, null=True)), ('dataset_id', models.CharField(max_length=225, null=True)), ('sample_id', models.CharField(max_length=225, null=True)), ('copy', models.FloatField(null=True)), ], ), migrations.CreateModel( name='cnv_THCA', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('snorna', models.CharField(max_length=225, null=True)), ('dataset_id', models.CharField(max_length=225, null=True)), ('sample_id', models.CharField(max_length=225, null=True)), ('copy', models.FloatField(null=True)), ], ), migrations.CreateModel( name='cnv_THYM', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('snorna', models.CharField(max_length=225, null=True)), ('dataset_id', models.CharField(max_length=225, null=True)), ('sample_id', models.CharField(max_length=225, null=True)), ('copy', models.FloatField(null=True)), ], ), migrations.CreateModel( name='cnv_UCEC', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('snorna', models.CharField(max_length=225, null=True)), ('dataset_id', models.CharField(max_length=225, null=True)), ('sample_id', models.CharField(max_length=225, null=True)), ('copy', models.FloatField(null=True)), ], ), migrations.CreateModel( name='cnv_UCS', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('snorna', models.CharField(max_length=225, null=True)), ('dataset_id', models.CharField(max_length=225, null=True)), ('sample_id', models.CharField(max_length=225, null=True)), ('copy', models.FloatField(null=True)), ], ), migrations.CreateModel( name='cnv_UVM', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('snorna', models.CharField(max_length=225, null=True)), ('dataset_id', models.CharField(max_length=225, null=True)), ('sample_id', models.CharField(max_length=225, null=True)), ('copy', models.FloatField(null=True)), ], ), migrations.CreateModel( name='methylation_ACC', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('snorna', models.CharField(max_length=225, null=True)), ('dataset_id', models.CharField(max_length=225, null=True)), ('sample_id', models.CharField(max_length=225, null=True)), ('chrom', models.CharField(max_length=10, null=True)), ('strand', models.CharField(max_length=4, null=True)), ('start', models.IntegerField(null=True)), ('end', models.IntegerField(null=True)), ('source', models.CharField(max_length=45, null=True)), ('distance', models.IntegerField(null=True)), ('meth_id', models.CharField(max_length=225, null=True)), ('pos', models.IntegerField(null=True)), ('level', models.FloatField(null=True)), ], ), migrations.CreateModel( name='methylation_BLCA', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('snorna', models.CharField(max_length=225, null=True)), ('dataset_id', models.CharField(max_length=225, null=True)), ('sample_id', models.CharField(max_length=225, null=True)), ('chrom', models.CharField(max_length=10, null=True)), ('strand', models.CharField(max_length=4, null=True)), ('start', models.IntegerField(null=True)), ('end', models.IntegerField(null=True)), ('source', models.CharField(max_length=45, null=True)), ('distance', models.IntegerField(null=True)), ('meth_id', models.CharField(max_length=225, null=True)), ('pos', models.IntegerField(null=True)), ('level', models.FloatField(null=True)), ], ), migrations.CreateModel( name='methylation_BRCA', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('snorna', models.CharField(max_length=225, null=True)), ('dataset_id', models.CharField(max_length=225, null=True)), ('sample_id', models.CharField(max_length=225, null=True)), ('chrom', models.CharField(max_length=10, null=True)), ('strand', models.CharField(max_length=4, null=True)), ('start', models.IntegerField(null=True)), ('end', models.IntegerField(null=True)), ('source', models.CharField(max_length=45, null=True)), ('distance', models.IntegerField(null=True)), ('meth_id', models.CharField(max_length=225, null=True)), ('pos', models.IntegerField(null=True)), ('level', models.FloatField(null=True)), ], ), migrations.CreateModel( name='methylation_CESC', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('snorna', models.CharField(max_length=225, null=True)), ('dataset_id', models.CharField(max_length=225, null=True)), ('sample_id', models.CharField(max_length=225, null=True)), ('chrom', models.CharField(max_length=10, null=True)), ('strand', models.CharField(max_length=4, null=True)), ('start', models.IntegerField(null=True)), ('end', models.IntegerField(null=True)), ('source', models.CharField(max_length=45, null=True)), ('distance', models.IntegerField(null=True)), ('meth_id', models.CharField(max_length=225, null=True)), ('pos', models.IntegerField(null=True)), ('level', models.FloatField(null=True)), ], ), migrations.CreateModel( name='methylation_CHOL', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('snorna', models.CharField(max_length=225, null=True)), ('dataset_id', models.CharField(max_length=225, null=True)), ('sample_id', models.CharField(max_length=225, null=True)), ('chrom', models.CharField(max_length=10, null=True)), ('strand', models.CharField(max_length=4, null=True)), ('start', models.IntegerField(null=True)), ('end', models.IntegerField(null=True)), ('source', models.CharField(max_length=45, null=True)), ('distance', models.IntegerField(null=True)), ('meth_id', models.CharField(max_length=225, null=True)), ('pos', models.IntegerField(null=True)), ('level', models.FloatField(null=True)), ], ), migrations.CreateModel( name='methylation_COAD', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('snorna', models.CharField(max_length=225, null=True)), ('dataset_id', models.CharField(max_length=225, null=True)), ('sample_id', models.CharField(max_length=225, null=True)), ('chrom', models.CharField(max_length=10, null=True)), ('strand', models.CharField(max_length=4, null=True)), ('start', models.IntegerField(null=True)), ('end', models.IntegerField(null=True)), ('source', models.CharField(max_length=45, null=True)), ('distance', models.IntegerField(null=True)), ('meth_id', models.CharField(max_length=225, null=True)), ('pos', models.IntegerField(null=True)), ('level', models.FloatField(null=True)), ], ), migrations.CreateModel( name='methylation_DLBC', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('snorna', models.CharField(max_length=225, null=True)), ('dataset_id', models.CharField(max_length=225, null=True)), ('sample_id', models.CharField(max_length=225, null=True)), ('chrom', models.CharField(max_length=10, null=True)), ('strand', models.CharField(max_length=4, null=True)), ('start', models.IntegerField(null=True)), ('end', models.IntegerField(null=True)), ('source', models.CharField(max_length=45, null=True)), ('distance', models.IntegerField(null=True)), ('meth_id', models.CharField(max_length=225, null=True)), ('pos', models.IntegerField(null=True)), ('level', models.FloatField(null=True)), ], ), migrations.CreateModel( name='methylation_ESCA', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('snorna', models.CharField(max_length=225, null=True)), ('dataset_id', models.CharField(max_length=225, null=True)), ('sample_id', models.CharField(max_length=225, null=True)), ('chrom', models.CharField(max_length=10, null=True)), ('strand', models.CharField(max_length=4, null=True)), ('start', models.IntegerField(null=True)), ('end', models.IntegerField(null=True)), ('source', models.CharField(max_length=45, null=True)), ('distance', models.IntegerField(null=True)), ('meth_id', models.CharField(max_length=225, null=True)), ('pos', models.IntegerField(null=True)), ('level', models.FloatField(null=True)), ], ), migrations.CreateModel( name='methylation_HNSC', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('snorna', models.CharField(max_length=225, null=True)), ('dataset_id', models.CharField(max_length=225, null=True)), ('sample_id', models.CharField(max_length=225, null=True)), ('chrom', models.CharField(max_length=10, null=True)), ('strand', models.CharField(max_length=4, null=True)), ('start', models.IntegerField(null=True)), ('end', models.IntegerField(null=True)), ('source', models.CharField(max_length=45, null=True)), ('distance', models.IntegerField(null=True)), ('meth_id', models.CharField(max_length=225, null=True)), ('pos', models.IntegerField(null=True)), ('level', models.FloatField(null=True)), ], ), migrations.CreateModel( name='methylation_KICH', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('snorna', models.CharField(max_length=225, null=True)), ('dataset_id', models.CharField(max_length=225, null=True)), ('sample_id', models.CharField(max_length=225, null=True)), ('chrom', models.CharField(max_length=10, null=True)), ('strand', models.CharField(max_length=4, null=True)), ('start', models.IntegerField(null=True)), ('end', models.IntegerField(null=True)), ('source', models.CharField(max_length=45, null=True)), ('distance', models.IntegerField(null=True)), ('meth_id', models.CharField(max_length=225, null=True)), ('pos', models.IntegerField(null=True)), ('level', models.FloatField(null=True)), ], ), migrations.CreateModel( name='methylation_KIRC', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('snorna', models.CharField(max_length=225, null=True)), ('dataset_id', models.CharField(max_length=225, null=True)), ('sample_id', models.CharField(max_length=225, null=True)), ('chrom', models.CharField(max_length=10, null=True)), ('strand', models.CharField(max_length=4, null=True)), ('start', models.IntegerField(null=True)), ('end', models.IntegerField(null=True)), ('source', models.CharField(max_length=45, null=True)), ('distance', models.IntegerField(null=True)), ('meth_id', models.CharField(max_length=225, null=True)), ('pos', models.IntegerField(null=True)), ('level', models.FloatField(null=True)), ], ), migrations.CreateModel( name='methylation_KIRP', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('snorna', models.CharField(max_length=225, null=True)), ('dataset_id', models.CharField(max_length=225, null=True)), ('sample_id', models.CharField(max_length=225, null=True)), ('chrom', models.CharField(max_length=10, null=True)), ('strand', models.CharField(max_length=4, null=True)), ('start', models.IntegerField(null=True)), ('end', models.IntegerField(null=True)), ('source', models.CharField(max_length=45, null=True)), ('distance', models.IntegerField(null=True)), ('meth_id', models.CharField(max_length=225, null=True)), ('pos', models.IntegerField(null=True)), ('level', models.FloatField(null=True)), ], ), migrations.CreateModel( name='methylation_LGG', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('snorna', models.CharField(max_length=225, null=True)), ('dataset_id', models.CharField(max_length=225, null=True)), ('sample_id', models.CharField(max_length=225, null=True)), ('chrom', models.CharField(max_length=10, null=True)), ('strand', models.CharField(max_length=4, null=True)), ('start', models.IntegerField(null=True)), ('end', models.IntegerField(null=True)), ('source', models.CharField(max_length=45, null=True)), ('distance', models.IntegerField(null=True)), ('meth_id', models.CharField(max_length=225, null=True)), ('pos', models.IntegerField(null=True)), ('level', models.FloatField(null=True)), ], ), migrations.CreateModel( name='methylation_LIHC', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('snorna', models.CharField(max_length=225, null=True)), ('dataset_id', models.CharField(max_length=225, null=True)), ('sample_id', models.CharField(max_length=225, null=True)), ('chrom', models.CharField(max_length=10, null=True)), ('strand', models.CharField(max_length=4, null=True)), ('start', models.IntegerField(null=True)), ('end', models.IntegerField(null=True)), ('source', models.CharField(max_length=45, null=True)), ('distance', models.IntegerField(null=True)), ('meth_id', models.CharField(max_length=225, null=True)), ('pos', models.IntegerField(null=True)), ('level', models.FloatField(null=True)), ], ), migrations.CreateModel( name='methylation_LUAD', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('snorna', models.CharField(max_length=225, null=True)), ('dataset_id', models.CharField(max_length=225, null=True)), ('sample_id', models.CharField(max_length=225, null=True)), ('chrom', models.CharField(max_length=10, null=True)), ('strand', models.CharField(max_length=4, null=True)), ('start', models.IntegerField(null=True)), ('end', models.IntegerField(null=True)), ('source', models.CharField(max_length=45, null=True)), ('distance', models.IntegerField(null=True)), ('meth_id', models.CharField(max_length=225, null=True)), ('pos', models.IntegerField(null=True)), ('level', models.FloatField(null=True)), ], ), migrations.CreateModel( name='methylation_LUSC', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('snorna', models.CharField(max_length=225, null=True)), ('dataset_id', models.CharField(max_length=225, null=True)), ('sample_id', models.CharField(max_length=225, null=True)), ('chrom', models.CharField(max_length=10, null=True)), ('strand', models.CharField(max_length=4, null=True)), ('start', models.IntegerField(null=True)), ('end', models.IntegerField(null=True)), ('source', models.CharField(max_length=45, null=True)), ('distance', models.IntegerField(null=True)), ('meth_id', models.CharField(max_length=225, null=True)), ('pos', models.IntegerField(null=True)), ('level', models.FloatField(null=True)), ], ), migrations.CreateModel( name='methylation_MESO', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('snorna', models.CharField(max_length=225, null=True)), ('dataset_id', models.CharField(max_length=225, null=True)), ('sample_id', models.CharField(max_length=225, null=True)), ('chrom', models.CharField(max_length=10, null=True)), ('strand', models.CharField(max_length=4, null=True)), ('start', models.IntegerField(null=True)), ('end', models.IntegerField(null=True)), ('source', models.CharField(max_length=45, null=True)), ('distance', models.IntegerField(null=True)), ('meth_id', models.CharField(max_length=225, null=True)), ('pos', models.IntegerField(null=True)), ('level', models.FloatField(null=True)), ], ), migrations.CreateModel( name='methylation_OV', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('snorna', models.CharField(max_length=225, null=True)), ('dataset_id', models.CharField(max_length=225, null=True)), ('sample_id', models.CharField(max_length=225, null=True)), ('chrom', models.CharField(max_length=10, null=True)), ('strand', models.CharField(max_length=4, null=True)), ('start', models.IntegerField(null=True)), ('end', models.IntegerField(null=True)), ('source', models.CharField(max_length=45, null=True)), ('distance', models.IntegerField(null=True)), ('meth_id', models.CharField(max_length=225, null=True)), ('pos', models.IntegerField(null=True)), ('level', models.FloatField(null=True)), ], ), migrations.CreateModel( name='methylation_PAAD', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('snorna', models.CharField(max_length=225, null=True)), ('dataset_id', models.CharField(max_length=225, null=True)), ('sample_id', models.CharField(max_length=225, null=True)), ('chrom', models.CharField(max_length=10, null=True)), ('strand', models.CharField(max_length=4, null=True)), ('start', models.IntegerField(null=True)), ('end', models.IntegerField(null=True)), ('source', models.CharField(max_length=45, null=True)), ('distance', models.IntegerField(null=True)), ('meth_id', models.CharField(max_length=225, null=True)), ('pos', models.IntegerField(null=True)), ('level', models.FloatField(null=True)), ], ), migrations.CreateModel( name='methylation_PCPG', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('snorna', models.CharField(max_length=225, null=True)), ('dataset_id', models.CharField(max_length=225, null=True)), ('sample_id', models.CharField(max_length=225, null=True)), ('chrom', models.CharField(max_length=10, null=True)), ('strand', models.CharField(max_length=4, null=True)), ('start', models.IntegerField(null=True)), ('end', models.IntegerField(null=True)), ('source', models.CharField(max_length=45, null=True)), ('distance', models.IntegerField(null=True)), ('meth_id', models.CharField(max_length=225, null=True)), ('pos', models.IntegerField(null=True)), ('level', models.FloatField(null=True)), ], ), migrations.CreateModel( name='methylation_PRAD', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('snorna', models.CharField(max_length=225, null=True)), ('dataset_id', models.CharField(max_length=225, null=True)), ('sample_id', models.CharField(max_length=225, null=True)), ('chrom', models.CharField(max_length=10, null=True)), ('strand', models.CharField(max_length=4, null=True)), ('start', models.IntegerField(null=True)), ('end', models.IntegerField(null=True)), ('source', models.CharField(max_length=45, null=True)), ('distance', models.IntegerField(null=True)), ('meth_id', models.CharField(max_length=225, null=True)), ('pos', models.IntegerField(null=True)), ('level', models.FloatField(null=True)), ], ), migrations.CreateModel( name='methylation_READ', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('snorna', models.CharField(max_length=225, null=True)), ('dataset_id', models.CharField(max_length=225, null=True)), ('sample_id', models.CharField(max_length=225, null=True)), ('chrom', models.CharField(max_length=10, null=True)), ('strand', models.CharField(max_length=4, null=True)), ('start', models.IntegerField(null=True)), ('end', models.IntegerField(null=True)), ('source', models.CharField(max_length=45, null=True)), ('distance', models.IntegerField(null=True)), ('meth_id', models.CharField(max_length=225, null=True)), ('pos', models.IntegerField(null=True)), ('level', models.FloatField(null=True)), ], ), migrations.CreateModel( name='methylation_SARC', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('snorna', models.CharField(max_length=225, null=True)), ('dataset_id', models.CharField(max_length=225, null=True)), ('sample_id', models.CharField(max_length=225, null=True)), ('chrom', models.CharField(max_length=10, null=True)), ('strand', models.CharField(max_length=4, null=True)), ('start', models.IntegerField(null=True)), ('end', models.IntegerField(null=True)), ('source', models.CharField(max_length=45, null=True)), ('distance', models.IntegerField(null=True)), ('meth_id', models.CharField(max_length=225, null=True)), ('pos', models.IntegerField(null=True)), ('level', models.FloatField(null=True)), ], ), migrations.CreateModel( name='methylation_SKCM', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('snorna', models.CharField(max_length=225, null=True)), ('dataset_id', models.CharField(max_length=225, null=True)), ('sample_id', models.CharField(max_length=225, null=True)), ('chrom', models.CharField(max_length=10, null=True)), ('strand', models.CharField(max_length=4, null=True)), ('start', models.IntegerField(null=True)), ('end', models.IntegerField(null=True)), ('source', models.CharField(max_length=45, null=True)), ('distance', models.IntegerField(null=True)), ('meth_id', models.CharField(max_length=225, null=True)), ('pos', models.IntegerField(null=True)), ('level', models.FloatField(null=True)), ], ), migrations.CreateModel( name='methylation_STAD', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('snorna', models.CharField(max_length=225, null=True)), ('dataset_id', models.CharField(max_length=225, null=True)), ('sample_id', models.CharField(max_length=225, null=True)), ('chrom', models.CharField(max_length=10, null=True)), ('strand', models.CharField(max_length=4, null=True)), ('start', models.IntegerField(null=True)), ('end', models.IntegerField(null=True)), ('source', models.CharField(max_length=45, null=True)), ('distance', models.IntegerField(null=True)), ('meth_id', models.CharField(max_length=225, null=True)), ('pos', models.IntegerField(null=True)), ('level', models.FloatField(null=True)), ], ), migrations.CreateModel( name='methylation_TGCT', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('snorna', models.CharField(max_length=225, null=True)), ('dataset_id', models.CharField(max_length=225, null=True)), ('sample_id', models.CharField(max_length=225, null=True)), ('chrom', models.CharField(max_length=10, null=True)), ('strand', models.CharField(max_length=4, null=True)), ('start', models.IntegerField(null=True)), ('end', models.IntegerField(null=True)), ('source', models.CharField(max_length=45, null=True)), ('distance', models.IntegerField(null=True)), ('meth_id', models.CharField(max_length=225, null=True)), ('pos', models.IntegerField(null=True)), ('level', models.FloatField(null=True)), ], ), migrations.CreateModel( name='methylation_THCA', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('snorna', models.CharField(max_length=225, null=True)), ('dataset_id', models.CharField(max_length=225, null=True)), ('sample_id', models.CharField(max_length=225, null=True)), ('chrom', models.CharField(max_length=10, null=True)), ('strand', models.CharField(max_length=4, null=True)), ('start', models.IntegerField(null=True)), ('end', models.IntegerField(null=True)), ('source', models.CharField(max_length=45, null=True)), ('distance', models.IntegerField(null=True)), ('meth_id', models.CharField(max_length=225, null=True)), ('pos', models.IntegerField(null=True)), ('level', models.FloatField(null=True)), ], ), migrations.CreateModel( name='methylation_THYM', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('snorna', models.CharField(max_length=225, null=True)), ('dataset_id', models.CharField(max_length=225, null=True)), ('sample_id', models.CharField(max_length=225, null=True)), ('chrom', models.CharField(max_length=10, null=True)), ('strand', models.CharField(max_length=4, null=True)), ('start', models.IntegerField(null=True)), ('end', models.IntegerField(null=True)), ('source', models.CharField(max_length=45, null=True)), ('distance', models.IntegerField(null=True)), ('meth_id', models.CharField(max_length=225, null=True)), ('pos', models.IntegerField(null=True)), ('level', models.FloatField(null=True)), ], ), migrations.CreateModel( name='methylation_UCEC', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('snorna', models.CharField(max_length=225, null=True)), ('dataset_id', models.CharField(max_length=225, null=True)), ('sample_id', models.CharField(max_length=225, null=True)), ('chrom', models.CharField(max_length=10, null=True)), ('strand', models.CharField(max_length=4, null=True)), ('start', models.IntegerField(null=True)), ('end', models.IntegerField(null=True)), ('source', models.CharField(max_length=45, null=True)), ('distance', models.IntegerField(null=True)), ('meth_id', models.CharField(max_length=225, null=True)), ('pos', models.IntegerField(null=True)), ('level', models.FloatField(null=True)), ], ), migrations.CreateModel( name='methylation_UCS', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('snorna', models.CharField(max_length=225, null=True)), ('dataset_id', models.CharField(max_length=225, null=True)), ('sample_id', models.CharField(max_length=225, null=True)), ('chrom', models.CharField(max_length=10, null=True)), ('strand', models.CharField(max_length=4, null=True)), ('start', models.IntegerField(null=True)), ('end', models.IntegerField(null=True)), ('source', models.CharField(max_length=45, null=True)), ('distance', models.IntegerField(null=True)), ('meth_id', models.CharField(max_length=225, null=True)), ('pos', models.IntegerField(null=True)), ('level', models.FloatField(null=True)), ], ), migrations.CreateModel( name='methylation_UVM', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('snorna', models.CharField(max_length=225, null=True)), ('dataset_id', models.CharField(max_length=225, null=True)), ('sample_id', models.CharField(max_length=225, null=True)), ('chrom', models.CharField(max_length=10, null=True)), ('strand', models.CharField(max_length=4, null=True)), ('start', models.IntegerField(null=True)), ('end', models.IntegerField(null=True)), ('source', models.CharField(max_length=45, null=True)), ('distance', models.IntegerField(null=True)), ('meth_id', models.CharField(max_length=225, null=True)), ('pos', models.IntegerField(null=True)), ('level', models.FloatField(null=True)), ], ), migrations.CreateModel( name='mrna_expression_BLCA', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('snorna', models.CharField(max_length=225, null=True)), ('dataset_id', models.CharField(max_length=225, null=True)), ('gene_symbol', models.CharField(max_length=225, null=True)), ('host', models.IntegerField(null=True)), ('spearman_corr', models.FloatField(null=True)), ('p_value', models.FloatField(null=True)), ('fdr', models.FloatField(null=True)), ('sample_id', models.CharField(max_length=225, null=True)), ('rna_expression', models.FloatField(null=True)), ], ), migrations.CreateModel( name='mrna_expression_BRCA', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('snorna', models.CharField(max_length=225, null=True)), ('dataset_id', models.CharField(max_length=225, null=True)), ('gene_symbol', models.CharField(max_length=225, null=True)), ('host', models.IntegerField(null=True)), ('spearman_corr', models.FloatField(null=True)), ('p_value', models.FloatField(null=True)), ('fdr', models.FloatField(null=True)), ('sample_id', models.CharField(max_length=225, null=True)), ('rna_expression', models.FloatField(null=True)), ], ), migrations.CreateModel( name='mrna_expression_CESC', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('snorna', models.CharField(max_length=225, null=True)), ('dataset_id', models.CharField(max_length=225, null=True)), ('gene_symbol', models.CharField(max_length=225, null=True)), ('host', models.IntegerField(null=True)), ('spearman_corr', models.FloatField(null=True)), ('p_value', models.FloatField(null=True)), ('fdr', models.FloatField(null=True)), ('sample_id', models.CharField(max_length=225, null=True)), ('rna_expression', models.FloatField(null=True)), ], ), migrations.CreateModel( name='mrna_expression_CHOL', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('snorna', models.CharField(max_length=225, null=True)), ('dataset_id', models.CharField(max_length=225, null=True)), ('gene_symbol', models.CharField(max_length=225, null=True)), ('host', models.IntegerField(null=True)), ('spearman_corr', models.FloatField(null=True)), ('p_value', models.FloatField(null=True)), ('fdr', models.FloatField(null=True)), ('sample_id', models.CharField(max_length=225, null=True)), ('rna_expression', models.FloatField(null=True)), ], ), migrations.CreateModel( name='mrna_expression_COAD', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('snorna', models.CharField(max_length=225, null=True)), ('dataset_id', models.CharField(max_length=225, null=True)), ('gene_symbol', models.CharField(max_length=225, null=True)), ('host', models.IntegerField(null=True)), ('spearman_corr', models.FloatField(null=True)), ('p_value', models.FloatField(null=True)), ('fdr', models.FloatField(null=True)), ('sample_id', models.CharField(max_length=225, null=True)), ('rna_expression', models.FloatField(null=True)), ], ), migrations.CreateModel( name='mrna_expression_DLBC', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('snorna', models.CharField(max_length=225, null=True)), ('dataset_id', models.CharField(max_length=225, null=True)), ('gene_symbol', models.CharField(max_length=225, null=True)), ('host', models.IntegerField(null=True)), ('spearman_corr', models.FloatField(null=True)), ('p_value', models.FloatField(null=True)), ('fdr', models.FloatField(null=True)), ('sample_id', models.CharField(max_length=225, null=True)), ('rna_expression', models.FloatField(null=True)), ], ), migrations.CreateModel( name='mrna_expression_ESCA', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('snorna', models.CharField(max_length=225, null=True)), ('dataset_id', models.CharField(max_length=225, null=True)), ('gene_symbol', models.CharField(max_length=225, null=True)), ('host', models.IntegerField(null=True)), ('spearman_corr', models.FloatField(null=True)), ('p_value', models.FloatField(null=True)), ('fdr', models.FloatField(null=True)), ('sample_id', models.CharField(max_length=225, null=True)), ('rna_expression', models.FloatField(null=True)), ], ), migrations.CreateModel( name='mrna_expression_HNSC', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('snorna', models.CharField(max_length=225, null=True)), ('dataset_id', models.CharField(max_length=225, null=True)), ('gene_symbol', models.CharField(max_length=225, null=True)), ('host', models.IntegerField(null=True)), ('spearman_corr', models.FloatField(null=True)), ('p_value', models.FloatField(null=True)), ('fdr', models.FloatField(null=True)), ('sample_id', models.CharField(max_length=225, null=True)), ('rna_expression', models.FloatField(null=True)), ], ), migrations.CreateModel( name='mrna_expression_KICH', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('snorna', models.CharField(max_length=225, null=True)), ('dataset_id', models.CharField(max_length=225, null=True)), ('gene_symbol', models.CharField(max_length=225, null=True)), ('host', models.IntegerField(null=True)), ('spearman_corr', models.FloatField(null=True)), ('p_value', models.FloatField(null=True)), ('fdr', models.FloatField(null=True)), ('sample_id', models.CharField(max_length=225, null=True)), ('rna_expression', models.FloatField(null=True)), ], ), migrations.CreateModel( name='mrna_expression_KIRC', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('snorna', models.CharField(max_length=225, null=True)), ('dataset_id', models.CharField(max_length=225, null=True)), ('gene_symbol', models.CharField(max_length=225, null=True)), ('host', models.IntegerField(null=True)), ('spearman_corr', models.FloatField(null=True)), ('p_value', models.FloatField(null=True)), ('fdr', models.FloatField(null=True)), ('sample_id', models.CharField(max_length=225, null=True)), ('rna_expression', models.FloatField(null=True)), ], ), migrations.CreateModel( name='mrna_expression_KIRP', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('snorna', models.CharField(max_length=225, null=True)), ('dataset_id', models.CharField(max_length=225, null=True)), ('gene_symbol', models.CharField(max_length=225, null=True)), ('host', models.IntegerField(null=True)), ('spearman_corr', models.FloatField(null=True)), ('p_value', models.FloatField(null=True)), ('fdr', models.FloatField(null=True)), ('sample_id', models.CharField(max_length=225, null=True)), ('rna_expression', models.FloatField(null=True)), ], ), migrations.CreateModel( name='mrna_expression_LGG', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('snorna', models.CharField(max_length=225, null=True)), ('dataset_id', models.CharField(max_length=225, null=True)), ('gene_symbol', models.CharField(max_length=225, null=True)), ('host', models.IntegerField(null=True)), ('spearman_corr', models.FloatField(null=True)), ('p_value', models.FloatField(null=True)), ('fdr', models.FloatField(null=True)), ('sample_id', models.CharField(max_length=225, null=True)), ('rna_expression', models.FloatField(null=True)), ], ), migrations.CreateModel( name='mrna_expression_LIHC', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('snorna', models.CharField(max_length=225, null=True)), ('dataset_id', models.CharField(max_length=225, null=True)), ('gene_symbol', models.CharField(max_length=225, null=True)), ('host', models.IntegerField(null=True)), ('spearman_corr', models.FloatField(null=True)), ('p_value', models.FloatField(null=True)), ('fdr', models.FloatField(null=True)), ('sample_id', models.CharField(max_length=225, null=True)), ('rna_expression', models.FloatField(null=True)), ], ), migrations.CreateModel( name='mrna_expression_LUAD', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('snorna', models.CharField(max_length=225, null=True)), ('dataset_id', models.CharField(max_length=225, null=True)), ('gene_symbol', models.CharField(max_length=225, null=True)), ('host', models.IntegerField(null=True)), ('spearman_corr', models.FloatField(null=True)), ('p_value', models.FloatField(null=True)), ('fdr', models.FloatField(null=True)), ('sample_id', models.CharField(max_length=225, null=True)), ('rna_expression', models.FloatField(null=True)), ], ), migrations.CreateModel( name='mrna_expression_LUSC', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('snorna', models.CharField(max_length=225, null=True)), ('dataset_id', models.CharField(max_length=225, null=True)), ('gene_symbol', models.CharField(max_length=225, null=True)), ('host', models.IntegerField(null=True)), ('spearman_corr', models.FloatField(null=True)), ('p_value', models.FloatField(null=True)), ('fdr', models.FloatField(null=True)), ('sample_id', models.CharField(max_length=225, null=True)), ('rna_expression', models.FloatField(null=True)), ], ), migrations.CreateModel( name='mrna_expression_MESO', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('snorna', models.CharField(max_length=225, null=True)), ('dataset_id', models.CharField(max_length=225, null=True)), ('gene_symbol', models.CharField(max_length=225, null=True)), ('host', models.IntegerField(null=True)), ('spearman_corr', models.FloatField(null=True)), ('p_value', models.FloatField(null=True)), ('fdr', models.FloatField(null=True)), ('sample_id', models.CharField(max_length=225, null=True)), ('rna_expression', models.FloatField(null=True)), ], ), migrations.CreateModel( name='mrna_expression_OV', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('snorna', models.CharField(max_length=225, null=True)), ('dataset_id', models.CharField(max_length=225, null=True)), ('gene_symbol', models.CharField(max_length=225, null=True)), ('host', models.IntegerField(null=True)), ('spearman_corr', models.FloatField(null=True)), ('p_value', models.FloatField(null=True)), ('fdr', models.FloatField(null=True)), ('sample_id', models.CharField(max_length=225, null=True)), ('rna_expression', models.FloatField(null=True)), ], ), migrations.CreateModel( name='mrna_expression_PAAD', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('snorna', models.CharField(max_length=225, null=True)), ('dataset_id', models.CharField(max_length=225, null=True)), ('gene_symbol', models.CharField(max_length=225, null=True)), ('host', models.IntegerField(null=True)), ('spearman_corr', models.FloatField(null=True)), ('p_value', models.FloatField(null=True)), ('fdr', models.FloatField(null=True)), ('sample_id', models.CharField(max_length=225, null=True)), ('rna_expression', models.FloatField(null=True)), ], ), migrations.CreateModel( name='mrna_expression_PCPG', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('snorna', models.CharField(max_length=225, null=True)), ('dataset_id', models.CharField(max_length=225, null=True)), ('gene_symbol', models.CharField(max_length=225, null=True)), ('host', models.IntegerField(null=True)), ('spearman_corr', models.FloatField(null=True)), ('p_value', models.FloatField(null=True)), ('fdr', models.FloatField(null=True)), ('sample_id', models.CharField(max_length=225, null=True)), ('rna_expression', models.FloatField(null=True)), ], ), migrations.CreateModel( name='mrna_expression_PRAD', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('snorna', models.CharField(max_length=225, null=True)), ('dataset_id', models.CharField(max_length=225, null=True)), ('gene_symbol', models.CharField(max_length=225, null=True)), ('host', models.IntegerField(null=True)), ('spearman_corr', models.FloatField(null=True)), ('p_value', models.FloatField(null=True)), ('fdr', models.FloatField(null=True)), ('sample_id', models.CharField(max_length=225, null=True)), ('rna_expression', models.FloatField(null=True)), ], ), migrations.CreateModel( name='mrna_expression_READ', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('snorna', models.CharField(max_length=225, null=True)), ('dataset_id', models.CharField(max_length=225, null=True)), ('gene_symbol', models.CharField(max_length=225, null=True)), ('host', models.IntegerField(null=True)), ('spearman_corr', models.FloatField(null=True)), ('p_value', models.FloatField(null=True)), ('fdr', models.FloatField(null=True)), ('sample_id', models.CharField(max_length=225, null=True)), ('rna_expression', models.FloatField(null=True)), ], ), migrations.CreateModel( name='mrna_expression_SARC', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('snorna', models.CharField(max_length=225, null=True)), ('dataset_id', models.CharField(max_length=225, null=True)), ('gene_symbol', models.CharField(max_length=225, null=True)), ('host', models.IntegerField(null=True)), ('spearman_corr', models.FloatField(null=True)), ('p_value', models.FloatField(null=True)), ('fdr', models.FloatField(null=True)), ('sample_id', models.CharField(max_length=225, null=True)), ('rna_expression', models.FloatField(null=True)), ], ), migrations.CreateModel( name='mrna_expression_SKCM', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('snorna', models.CharField(max_length=225, null=True)), ('dataset_id', models.CharField(max_length=225, null=True)), ('gene_symbol', models.CharField(max_length=225, null=True)), ('host', models.IntegerField(null=True)), ('spearman_corr', models.FloatField(null=True)), ('p_value', models.FloatField(null=True)), ('fdr', models.FloatField(null=True)), ('sample_id', models.CharField(max_length=225, null=True)), ('rna_expression', models.FloatField(null=True)), ], ), migrations.CreateModel( name='mrna_expression_STAD', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('snorna', models.CharField(max_length=225, null=True)), ('dataset_id', models.CharField(max_length=225, null=True)), ('gene_symbol', models.CharField(max_length=225, null=True)), ('host', models.IntegerField(null=True)), ('spearman_corr', models.FloatField(null=True)), ('p_value', models.FloatField(null=True)), ('fdr', models.FloatField(null=True)), ('sample_id', models.CharField(max_length=225, null=True)), ('rna_expression', models.FloatField(null=True)), ], ), migrations.CreateModel( name='mrna_expression_TGCT', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('snorna', models.CharField(max_length=225, null=True)), ('dataset_id', models.CharField(max_length=225, null=True)), ('gene_symbol', models.CharField(max_length=225, null=True)), ('host', models.IntegerField(null=True)), ('spearman_corr', models.FloatField(null=True)), ('p_value', models.FloatField(null=True)), ('fdr', models.FloatField(null=True)), ('sample_id', models.CharField(max_length=225, null=True)), ('rna_expression', models.FloatField(null=True)), ], ), migrations.CreateModel( name='mrna_expression_THCA', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('snorna', models.CharField(max_length=225, null=True)), ('dataset_id', models.CharField(max_length=225, null=True)), ('gene_symbol', models.CharField(max_length=225, null=True)), ('host', models.IntegerField(null=True)), ('spearman_corr', models.FloatField(null=True)), ('p_value', models.FloatField(null=True)), ('fdr', models.FloatField(null=True)), ('sample_id', models.CharField(max_length=225, null=True)), ('rna_expression', models.FloatField(null=True)), ], ), migrations.CreateModel( name='mrna_expression_THYM', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('snorna', models.CharField(max_length=225, null=True)), ('dataset_id', models.CharField(max_length=225, null=True)), ('gene_symbol', models.CharField(max_length=225, null=True)), ('host', models.IntegerField(null=True)), ('spearman_corr', models.FloatField(null=True)), ('p_value', models.FloatField(null=True)), ('fdr', models.FloatField(null=True)), ('sample_id', models.CharField(max_length=225, null=True)), ('rna_expression', models.FloatField(null=True)), ], ), migrations.CreateModel( name='mrna_expression_UCEC', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('snorna', models.CharField(max_length=225, null=True)), ('dataset_id', models.CharField(max_length=225, null=True)), ('gene_symbol', models.CharField(max_length=225, null=True)), ('host', models.IntegerField(null=True)), ('spearman_corr', models.FloatField(null=True)), ('p_value', models.FloatField(null=True)), ('fdr', models.FloatField(null=True)), ('sample_id', models.CharField(max_length=225, null=True)), ('rna_expression', models.FloatField(null=True)), ], ), migrations.CreateModel( name='mrna_expression_UCS', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('snorna', models.CharField(max_length=225, null=True)), ('dataset_id', models.CharField(max_length=225, null=True)), ('gene_symbol', models.CharField(max_length=225, null=True)), ('host', models.IntegerField(null=True)), ('spearman_corr', models.FloatField(null=True)), ('p_value', models.FloatField(null=True)), ('fdr', models.FloatField(null=True)), ('sample_id', models.CharField(max_length=225, null=True)), ('rna_expression', models.FloatField(null=True)), ], ), migrations.CreateModel( name='mrna_expression_UVM', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('snorna', models.CharField(max_length=225, null=True)), ('dataset_id', models.CharField(max_length=225, null=True)), ('gene_symbol', models.CharField(max_length=225, null=True)), ('host', models.IntegerField(null=True)), ('spearman_corr', models.FloatField(null=True)), ('p_value', models.FloatField(null=True)), ('fdr', models.FloatField(null=True)), ('sample_id', models.CharField(max_length=225, null=True)), ('rna_expression', models.FloatField(null=True)), ], ), ]

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a99bf09dc305a76776e4b14eae4b70b7a93390e4

239

py

Python

thoth/worker/foreach/__init__.py

fridex/selinon-worker

89c9637ecdb8341f3baf06fd45c2966ebfa3ac41

[ "MIT" ]

null

thoth/worker/foreach/__init__.py

fridex/selinon-worker

89c9637ecdb8341f3baf06fd45c2966ebfa3ac41

[ "MIT" ]

null

thoth/worker/foreach/__init__.py

fridex/selinon-worker

89c9637ecdb8341f3baf06fd45c2966ebfa3ac41

[ "MIT" ]

null

from .travis import iter_travis_builds from .travis import iter_travis_repos from .travis import iter_travis_builds_count from .pypi import iter_sync_documents from .pypi import iter_pypi_projects from .pypi import iter_pypi_projects_ceph

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8d50eee4ce77213f667dbfd3b8dd75c02745839b

18,853

py

Python

cake/taskdbs/tests/test_sqlitedb.py

beckermr/cake

e0930dfdc59f42e484bb9a7a9fbf0c7d8398ac65

[ "BSD-3-Clause" ]

null

cake/taskdbs/tests/test_sqlitedb.py

beckermr/cake

e0930dfdc59f42e484bb9a7a9fbf0c7d8398ac65

[ "BSD-3-Clause" ]

20

2016-02-22T21:11:31.000Z

2017-04-25T05:58:30.000Z

cake/taskdbs/tests/test_sqlitedb.py

beckermr/cake

e0930dfdc59f42e484bb9a7a9fbf0c7d8398ac65

[ "BSD-3-Clause" ]

null

import os import unittest import random import time from .. import SQLiteTaskDB from ...defaults import TASK_STATES, TASK_LOG_ACTIONS, TASKDB_STATES, VALID_LOG_CHECKIN_ACTIONS class TestSQLiteTaskDB(unittest.TestCase): def setUp(self): try: os.remove('test.db') except Exception as e: pass self._conf = {'name': 'test.db', 'timeout': 120.0} self._db = SQLiteTaskDB(**self._conf) self._delay = 0.0 def tearDown(self): try: os.remove('test.db') except Exception as e: pass def test_add_log(self): num_add = 13 ids = [] priors = [] for i in range(num_add): priors.append(random.uniform(0, 1)) ids.append(self._db.add('echo "%d"' % i, priority=priors[-1])) for i in range(num_add): res = self._db.query("select priority, cmd, task_id, state from tasks where task_id = '%s'" % ids[i])[0] self.assertAlmostEqual(res[0], priors[i]) self.assertTrue(res[1] == 'echo "%d"' % i) self.assertTrue(res[2] == ids[i]) self.assertTrue(res[3] == TASK_STATES.QUEUED_NO_DEP) res = self._db.query("select task_id, action from logs where task_id = '%s'" % ids[i])[0] self.assertTrue(res[0] == ids[i]) self.assertTrue(res[1] == TASK_LOG_ACTIONS.ADDED) def test_add_multiple_log(self): num_add = 13 priors = [] tsks = [] ids = [] sids = [] tids = [] for i in range(num_add): priors.append(random.uniform(0, 1)) tsks.append('echo "%d"' % i) ids.append('%d' % (i + 1000)) sids.append('%d' % (i + 10000)) tids.append('%d' % (i + 100000)) for priority, aids in zip([priors, 5.1234, None, priors, 5.1234, None], [ids, sids, tids, None, None, None]): rids = self._db.add_multiple(tsks, priority=priority, id=aids) for i in range(num_add): res = self._db.query("select priority, cmd, task_id, state from tasks where task_id = '%s'" % rids[i])[0] if type(priority) == list: self.assertAlmostEqual(res[0], priority[i]) elif priority is not None: self.assertAlmostEqual(res[0], priority) else: self.assertAlmostEqual(res[0], 0.0) self.assertTrue(res[1] == 'echo "%d"' % i) self.assertTrue(res[2] == rids[i]) self.assertTrue(res[3] == TASK_STATES.QUEUED_NO_DEP) res = self._db.query("select task_id, action from logs where task_id = '%s'" % rids[i])[0] self.assertTrue(res[0] == rids[i]) self.assertTrue(res[1] == TASK_LOG_ACTIONS.ADDED) def test_add_dup(self): num_add = 1 ids = [] priors = [] for i in range(num_add): priors.append(random.uniform(0, 1)) ids.append(self._db.add('echo "%d"' % i, priority=priors[-1], id='dup')) try: self._db.add('echo "%d"' % i, priority=priors[-1], id='dup') failed = False except Exception as e: failed = True self.assertTrue(failed) def test_update_log(self): num_add = 13 ids = [] priors = [] for i in range(num_add): priors.append(random.uniform(0, 1)) ids.append(self._db.add('echo "%d"' % i, priority=priors[-1])) for i in range(num_add): res = self._db.query("select priority, cmd, task_id, state from tasks where task_id = '%s'" % ids[i])[0] self.assertAlmostEqual(res[0], priors[i]) self.assertTrue(res[1] == 'echo "%d"' % i) self.assertTrue(res[2] == ids[i]) self.assertTrue(res[3] == TASK_STATES.QUEUED_NO_DEP) res = self._db.query("select task_id, action from logs where task_id = '%s'" % ids[i])[0] self.assertTrue(res[0] == ids[i]) self.assertTrue(res[1] == TASK_LOG_ACTIONS.ADDED) for i in range(num_add): self._db.update(ids[i], priority=1234) res = self._db.query("select priority, cmd, task_id, state from tasks where task_id = '%s'" % ids[i])[0] self.assertAlmostEqual(res[0], 1234) self.assertTrue(res[1] == 'echo "%d"' % i) self.assertTrue(res[2] == ids[i]) self.assertTrue(res[3] == TASK_STATES.QUEUED_NO_DEP) res = self._db.query("select task_id, action from logs where task_id = '%s' ORDER BY log_id DESC" % ids[i])[0] self.assertTrue(res[0] == ids[i]) self.assertTrue(res[1] == TASK_LOG_ACTIONS.UPDATED) for i in range(num_add): self._db.update(ids[i], state=TASK_STATES.CHECKPOINTED, priority=3456) res = self._db.query("select priority, cmd, task_id, state from tasks where task_id = '%s'" % ids[i])[0] self.assertAlmostEqual(res[0], 3456) self.assertTrue(res[1] == 'echo "%d"' % i) self.assertTrue(res[2] == ids[i]) self.assertTrue(res[3] == TASK_STATES.CHECKPOINTED) res = self._db.query("select task_id, action from logs where task_id = '%s' ORDER BY log_id DESC" % ids[i])[0] self.assertTrue(res[0] == ids[i]) self.assertTrue(res[1] == TASK_LOG_ACTIONS.UPDATED) for i in range(num_add): self._db.update(ids[i], state=TASK_STATES.FAILED, task="echo -1") res = self._db.query("select priority, cmd, task_id, state from tasks where task_id = '%s'" % ids[i])[0] self.assertAlmostEqual(res[0], 3456) self.assertTrue(res[1] == 'echo -1') self.assertTrue(res[2] == ids[i]) self.assertTrue(res[3] == TASK_STATES.FAILED) res = self._db.query("select task_id, action from logs where task_id = '%s' ORDER BY log_id DESC" % ids[i])[0] self.assertTrue(res[0] == ids[i]) self.assertTrue(res[1] == TASK_LOG_ACTIONS.UPDATED) for i in range(num_add): self._db.update(ids[i], task="echo -2") res = self._db.query("select priority, cmd, task_id, state from tasks where task_id = '%s'" % ids[i])[0] self.assertAlmostEqual(res[0], 3456) self.assertTrue(res[1] == 'echo -2') self.assertTrue(res[2] == ids[i]) self.assertTrue(res[3] == TASK_STATES.FAILED) res = self._db.query("select task_id, action from logs where task_id = '%s' ORDER BY log_id DESC" % ids[i])[0] self.assertTrue(res[0] == ids[i]) self.assertTrue(res[1] == TASK_LOG_ACTIONS.UPDATED) for i in range(num_add): self._db.update(ids[i], state=TASK_STATES.DELETED, task="echo -3", priority=6789) res = self._db.query("select priority, cmd, task_id, state from tasks where task_id = '%s'" % ids[i])[0] self.assertAlmostEqual(res[0], 6789) self.assertTrue(res[1] == 'echo -3') self.assertTrue(res[2] == ids[i]) self.assertTrue(res[3] == TASK_STATES.DELETED) res = self._db.query("select task_id, action from logs where task_id = '%s' ORDER BY log_id DESC" % ids[i])[0] self.assertTrue(res[0] == ids[i]) self.assertTrue(res[1] == TASK_LOG_ACTIONS.UPDATED) def test_delete(self): num_add = 2 ids = [] priors = [] for i in range(num_add): priors.append(random.uniform(0, 1)) ids.append(self._db.add('echo "%d"' % i, priority=priors[-1])) time.sleep(self._delay) i = 0 self._db.delete(ids[i], remove=False) res = self._db.query("select priority, cmd, task_id, state from tasks where task_id = '%s'" % ids[i])[0] self.assertAlmostEqual(res[0], priors[i]) self.assertTrue(res[1] == 'echo "%d"' % i) self.assertTrue(res[2] == ids[i]) self.assertTrue(res[3] == TASK_STATES.DELETED) res = self._db.query("select task_id, action, time from logs where task_id = '%s' ORDER BY log_id DESC" % ids[i]) res = res[0] self.assertTrue(res[0] == ids[i]) self.assertTrue(res[1] == TASK_LOG_ACTIONS.DELETED) i = 1 self._db.delete(ids[i], remove=True) res = self._db.query("select priority, cmd, task_id, state from tasks where task_id = '%s'" % ids[i]) self.assertTrue(len(res) == 0) res = self._db.query("select task_id, action, time from logs where task_id = '%s' ORDER BY log_id DESC" % ids[i])[0] self.assertTrue(res[0] == ids[i]) self.assertTrue(res[1] == TASK_LOG_ACTIONS.DELETED) def test_db_state(self): for i in range(100): if random.uniform(0, 1) < 0.5: self._db.run() self.assertTrue(self._db.state() == TASKDB_STATES.RUNNING) else: self._db.pause() self.assertTrue(self._db.state() == TASKDB_STATES.PAUSED) numc = self._db.query('SELECT COUNT(*) FROM CLIENTS')[0][0] self.assertTrue(numc == 1) db2 = SQLiteTaskDB(**self._conf) numc = self._db.query('SELECT COUNT(*) FROM CLIENTS')[0][0] self.assertTrue(numc == 2) numc = self._db.query('SELECT COUNT(*) FROM CLIENTS')[0][0] self.assertTrue(numc == 2) db2.close() numc = self._db.query('SELECT COUNT(*) FROM CLIENTS')[0][0] self.assertTrue(numc == 1) with SQLiteTaskDB(**self._conf) as db2: numc = self._db.query('SELECT COUNT(*) FROM CLIENTS')[0][0] self.assertTrue(numc == 2) numc = self._db.query('SELECT COUNT(*) FROM CLIENTS')[0][0] self.assertTrue(numc == 2) numc = self._db.query('SELECT COUNT(*) FROM CLIENTS')[0][0] self.assertTrue(numc == 1) self._db.pause() def test_reset(self): num_add = 10 ids = [] priors = [] for i in range(num_add): priors.append(random.uniform(0, 1)) ids.append(self._db.add('echo "%d"' % i, priority=priors[-1])) time.sleep(self._delay) for i in range(num_add): tsk, id = self._db.checkout() res = self._db.query("select task_id, state from tasks where task_id = '%s'" % id)[0] self.assertTrue(res[0] == id) self.assertTrue(res[1] == TASK_STATES.RUNNING) res = self._db.query("select task_id, action, time from logs where task_id = '%s' ORDER BY log_id DESC" % id)[0] self.assertTrue(res[0] == id) self.assertTrue(res[1] == TASK_LOG_ACTIONS.RAN or res[1] == TASK_LOG_ACTIONS.RAN_FROM_CHECKPOINT) time.sleep(self._delay) self._db.checkin(id, VALID_LOG_CHECKIN_ACTIONS[i % len(VALID_LOG_CHECKIN_ACTIONS)]) res = self._db.query("select task_id, state from tasks where task_id = '%s'" % id)[0] self.assertTrue(res[0] == id) self.assertTrue(res[1] == VALID_LOG_CHECKIN_ACTIONS[i % len(VALID_LOG_CHECKIN_ACTIONS)]) res = self._db.query("select task_id, action, time from logs where task_id = '%s' ORDER BY log_id DESC" % id)[0] self.assertTrue(res[0] == id) self.assertTrue(res[1] == VALID_LOG_CHECKIN_ACTIONS[i % len(VALID_LOG_CHECKIN_ACTIONS)]) time.sleep(self._delay) self._db.reset() time.sleep(self._delay) for i in range(num_add): res = self._db.query("select task_id, state from tasks where task_id = '%s'" % id)[0] self.assertTrue(res[0] == id) self.assertTrue(res[1] == TASK_STATES.QUEUED_NO_DEP or res[1] == TASK_STATES.DELETED) res = self._db.query("select task_id, action, time from logs where task_id = '%s' ORDER BY log_id DESC" % id)[0] self.assertTrue(res[0] == id) self.assertTrue(res[1] == TASK_LOG_ACTIONS.RESET) def test_cleanup(self): num_add = 10 ids = [] priors = [] for i in range(num_add): priors.append(random.uniform(0, 1)) ids.append(self._db.add('echo "%d"' % i, priority=priors[-1])) time.sleep(self._delay) self._db.run() for i in range(num_add): tsk, id = self._db.checkout() res = self._db.query("select task_id, state from tasks where task_id = '%s'" % id)[0] self.assertTrue(res[0] == id) self.assertTrue(res[1] == TASK_STATES.RUNNING) res = self._db.query("select task_id, action, time from logs where task_id = '%s' ORDER BY log_id DESC" % id)[0] self.assertTrue(res[0] == id) self.assertTrue(res[1] == TASK_LOG_ACTIONS.RAN or res[1] == TASK_LOG_ACTIONS.RAN_FROM_CHECKPOINT) time.sleep(self._delay) self._db.cleanup() time.sleep(self._delay) self.assertTrue(self._db.state() == 'PAUSED') for i in range(num_add): res = self._db.query("select task_id, state from tasks where task_id = '%s'" % id)[0] self.assertTrue(res[0] == id) self.assertTrue(res[1] == TASK_STATES.KILLED or res[1] == TASK_STATES.DELETED) res = self._db.query("select task_id, action, time from logs where task_id = '%s' ORDER BY log_id DESC" % id)[0] self.assertTrue(res[0] == id) self.assertTrue(res[1] == TASK_LOG_ACTIONS.CLEANED) # def test_killed(self): # num_add = 10 # ids = [] # priors = [] # for i in range(num_add): # priors.append(random.uniform(0, 1)) # ids.append(self._db.add('echo "%d"' % i, priority=priors[-1])) # # time.sleep(self._delay) # # for i in range(num_add): # tsk, id = self._db.checkout() # # res = self._db.query("select task_id, state from tasks where task_id = '%s'" % id)[0] # self.assertTrue(res[0] == id) # self.assertTrue(res[1] == TASK_STATES.RUNNING) # # res = self._db.query("select task_id, action, time from logs where task_id = '%s' ORDER BY log_id DESC" # % id)[0] # self.assertTrue(res[0] == id) # self.assertTrue(res[1] == TASK_LOG_ACTIONS.RAN or res[1] == TASK_LOG_ACTIONS.RAN_FROM_CHECKPOINT) # # time.sleep(self._delay) # # conf = {} # conf.update(self._conf) # conf['intent'] = 'run' # db2 = SQLiteTaskDB(**conf) # kids = db2.query("SELECT TASK_ID FROM TASKS WHERE STATE = '%s'" % TASK_STATES.KILLED) # kids = [kid[0] for kid in kids] # self.assertTrue(sorted(kids) == sorted(ids)) # db2.close() # # with SQLiteTaskDB(**conf) as db2: # kids = db2.query("SELECT TASK_ID FROM TASKS WHERE STATE = '%s'" % TASK_STATES.KILLED) # kids = [kid[0] for kid in kids] # self.assertTrue(sorted(kids) == sorted(ids)) def test_checkout_checkin(self): num_add = 10 ids = [] priors = [] for i in range(num_add): priors.append(random.uniform(0, 1)) ids.append(self._db.add('echo "%d"' % i, priority=priors[-1])) time.sleep(self._delay) for i in range(num_add): tsk, id = self._db.checkout() res = self._db.query("select task_id, state from tasks where task_id = '%s'" % id)[0] self.assertTrue(res[0] == id) self.assertTrue(res[1] == TASK_STATES.RUNNING) res = self._db.query("select task_id, action, time from logs where task_id = '%s' ORDER BY log_id DESC" % id)[0] self.assertTrue(res[0] == id) self.assertTrue(res[1] == TASK_LOG_ACTIONS.RAN or res[1] == TASK_LOG_ACTIONS.RAN_FROM_CHECKPOINT) time.sleep(self._delay) self._db.checkin(id, VALID_LOG_CHECKIN_ACTIONS[i % len(VALID_LOG_CHECKIN_ACTIONS)]) res = self._db.query("select task_id, state from tasks where task_id = '%s'" % id)[0] self.assertTrue(res[0] == id) self.assertTrue(res[1] == VALID_LOG_CHECKIN_ACTIONS[i % len(VALID_LOG_CHECKIN_ACTIONS)]) res = self._db.query("select task_id, action, time from logs where task_id = '%s' ORDER BY log_id DESC" % id)[0] self.assertTrue(res[0] == id) self.assertTrue(res[1] == VALID_LOG_CHECKIN_ACTIONS[i % len(VALID_LOG_CHECKIN_ACTIONS)]) time.sleep(self._delay) def test_checkout_checkin_state(self): num_add = 10 ids = [] priors = [] for i in range(num_add): priors.append(random.uniform(0, 1)) ids.append(self._db.add('echo "%d"' % i, priority=priors[-1])) time.sleep(self._delay) for i in range(num_add): tsk, id = self._db.checkout() res = self._db.query("select task_id, state from tasks where task_id = '%s'" % id)[0] self.assertTrue(res[0] == id) self.assertTrue(res[1] == TASK_STATES.RUNNING) res = self._db.query("select task_id, action, time from logs where task_id = '%s' ORDER BY log_id DESC" % id)[0] self.assertTrue(res[0] == id) self.assertTrue(res[1] == TASK_LOG_ACTIONS.RAN or res[1] == TASK_LOG_ACTIONS.RAN_FROM_CHECKPOINT) time.sleep(self._delay) self._db.checkin(id, TASK_STATES.FAILED) res = self._db.query("select task_id, state from tasks where task_id = '%s'" % id)[0] self.assertTrue(res[0] == id) self.assertTrue(res[1] == TASK_STATES.FAILED) res = self._db.query("select task_id, action, time from logs where task_id = '%s' ORDER BY log_id DESC" % id)[0] self.assertTrue(res[0] == id) self.assertTrue(res[1] == TASK_STATES.FAILED) time.sleep(self._delay) cids = [] for i in range(num_add): tsk, id = self._db.checkout(state=TASK_STATES.FAILED) cids.append(id) self.assertTrue(sorted(cids) == sorted(ids))

40.807359

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18,853

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null

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7

5714cc959efc9a61b6db40145dad5fb68f0f0620

66

py

Python

example/sad.py

luxuia/AutoTestPlatform

951729b7a8afe6fbcfbaed2fa740f4ddc2f9938f

[ "MIT" ]

7

2018-04-25T04:06:20.000Z

2021-11-21T11:59:55.000Z

example/sad.py

luxuia/AutoTestPlatform

951729b7a8afe6fbcfbaed2fa740f4ddc2f9938f

[ "MIT" ]

1

2018-07-12T06:07:48.000Z

example/sad.py

luxuia/AutoTestPlatform

951729b7a8afe6fbcfbaed2fa740f4ddc2f9938f

[ "MIT" ]

1

2018-03-22T09:04:45.000Z

{ img:'__export_res__/e61e8539-c8cb-4a92-8592-d4fbdbdcd886.png'}

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0

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7

57156de80e18236f5bc99bc6b841836ea3a2e60b

4,553

py

Python

sited_py/lib/android_util_Log.py

wistn/sited_py

fbecf09f410bd2494a952383073956946d9df813

[ "Apache-2.0" ]

null

sited_py/lib/android_util_Log.py

wistn/sited_py

fbecf09f410bd2494a952383073956946d9df813

[ "Apache-2.0" ]

null

sited_py/lib/android_util_Log.py

wistn/sited_py

fbecf09f410bd2494a952383073956946d9df813

[ "Apache-2.0" ]

null

# -*- coding: UTF-8 -*- """ Author:wistn since:2020-04-28 LastEditors:Do not edit LastEditTime:2021-06-11 Description: """ import os import sys import traceback from datetime import datetime import sited_py.conf class Log: # 模仿安卓 logcat 转储消息日志，每条截取前几百个字符 @classmethod def v(cls, tag, msg): if getattr(sited_py.conf, "logcatDump", False): with open( os.path.join( os.path.dirname(os.path.realpath(__file__)), "..", "files", "logcat_stdout.txt", ), "a", encoding="utf-8", ) as fs: fs.write( datetime.now().strftime("%I:%M:%S %p") + " VERBOSE/" + tag + ": " + (msg[0:150] + " ..." if msg else "") + "\r\n" ) # 参数在sited_py/conf.py设置 if getattr(sited_py.conf, "VERBOSE_log", False): print("VERBOSE/" + tag + ": " + (msg[0:150] + " ..." if msg else "")) elif getattr(sited_py.conf, "VERBOSE_trace", False): print( "VERBOSE/" + tag + ": " + (msg[0:150] + " ..." if msg else "") + "\n" + "".join(traceback.format_stack()[::-1]) ) @classmethod def i(cls, tag, msg): if getattr(sited_py.conf, "logcatDump", False): with open( os.path.join( os.path.dirname(os.path.realpath(__file__)), "..", "files", "logcat_stdout.txt", ), "a", encoding="utf-8", ) as fs: fs.write( datetime.now().strftime("%I:%M:%S %p") + " INFO/" + tag + ": " + msg + "\r\n" ) # print('INFO/' + tag + ': ' + msg+ '\n' + ''.join(traceback.format_stack()[::-1])) @classmethod def e(cls, tag, msg): if getattr(sited_py.conf, "logcatDump", False): with open( os.path.join( os.path.dirname(os.path.realpath(__file__)), "..", "files", "logcat_stdout.txt", ), "a", encoding="utf-8", ) as fs: fs.write( datetime.now().strftime("%I:%M:%S %p") + " ERROR/" + tag + ": " + msg + "\r\n" ) print( "ERROR/" + tag + ": " + msg + "\n" + "".join(traceback.format_stack()[::-1]) ) @classmethod def w(cls, tag, msg): if getattr(sited_py.conf, "logcatDump", False): with open( os.path.join( os.path.dirname(os.path.realpath(__file__)), "..", "files", "logcat_stdout.txt", ), "a", encoding="utf-8", ) as fs: fs.write( datetime.now().strftime("%I:%M:%S %p") + " WARN/" + tag + ": " + msg + "\r\n" ) print( "WARN/" + tag + ": " + msg + "\n" + "".join(traceback.format_stack()[::-1]) ) @classmethod def d(cls, tag, msg): if getattr(sited_py.conf, "logcatDump", False): with open( os.path.join( os.path.dirname(os.path.realpath(__file__)), "..", "files", "logcat_stdout.txt", ), "a", encoding="utf-8", ) as fs: fs.write( datetime.now().strftime("%I:%M:%S %p") + " DEBUG/" + tag + ": " + msg + "\r\n" ) print( "DEBUG/" + tag + ": " + msg + "\n" + "".join(traceback.format_stack()[::-1]) )

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null

0

8

571c1fba3c311728e30ea5cbf1c18b21224bce80

2,166

py

Python

tests/finder/fitness/frequency/test_values.py

AdamZink/frequency-finder

b2f7b2b26d382356b66750a9f97de7414e72ae3d

[ "MIT" ]

null

tests/finder/fitness/frequency/test_values.py

AdamZink/frequency-finder

b2f7b2b26d382356b66750a9f97de7414e72ae3d

[ "MIT" ]

9

2019-09-26T11:46:30.000Z

2020-01-26T04:58:46.000Z

tests/finder/fitness/frequency/test_values.py

AdamZink/frequency-finder

b2f7b2b26d382356b66750a9f97de7414e72ae3d

[ "MIT" ]

1

2020-05-06T14:33:58.000Z

import unittest from finder.fitness.frequency.values import * from tests.finder.fitness.constants import * # Tests to evaluate whether the correct frequency values are in the audio graph class TestValues(unittest.TestCase): def test_get_frequency_tuple_too_low_score(self): # score should be 1 to indicate guess frequency is too low # i.e. sign of score reflects the adjustment direction score = get_frequency_tuple_too_low_score(ONE_AT_1, ONE_AT_0, axis=1) self.assertEqual(1, score) def test_get_frequency_tuple_too_low_score_zero(self): # score should be zero to indicate frequency is NOT too low # i.e. sign of score reflects the adjustment direction score = get_frequency_tuple_too_low_score(ONE_AT_0, ONE_AT_1, axis=1) self.assertEqual(0, score) def test_get_frequency_tuple_too_high_score(self): # score should be 1 to indicate guess frequency is too high # i.e. sign of score reflects the adjustment direction score = get_frequency_tuple_too_high_score(ONE_AT_0, ONE_AT_1, axis=1) self.assertEqual(1, score) def test_get_frequency_tuple_too_high_score_zero(self): # score should be zero to indicate frequency is NOT too high # i.e. sign of score reflects the adjustment direction score = get_frequency_tuple_too_high_score(ONE_AT_1, ONE_AT_0, axis=1) self.assertEqual(0, score) def test_get_frequency_tuple_too_low_score_with_higher(self): # score should be 1 to indicate one of the guess frequencies is too low, but not the other frequency # i.e. sign of score reflects the adjustment direction score = get_frequency_tuple_too_low_score(ONE_AT_0_AND_3, ONE_AT_1_AND_2, axis=1) self.assertEqual(1, score) def test_get_frequency_tuple_too_high_score_with_lower(self): # score should be 1 to indicate one of the guess frequencies is too high, but not the other frequency # i.e. sign of score reflects the adjustment direction score = get_frequency_tuple_too_high_score(ONE_AT_0_AND_3, ONE_AT_1_AND_2, axis=1) self.assertEqual(1, score)

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572bace9671e1b698b3721d6bdff035f77b6001b

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py

Python

sdk/python/pulumi_vsphere/host_virtual_switch.py

donovanmuller/pulumi-vsphere

83c18fb177b41690416ef7517c512349b3da9be6

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

null

sdk/python/pulumi_vsphere/host_virtual_switch.py

donovanmuller/pulumi-vsphere

83c18fb177b41690416ef7517c512349b3da9be6

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

null

sdk/python/pulumi_vsphere/host_virtual_switch.py

donovanmuller/pulumi-vsphere

83c18fb177b41690416ef7517c512349b3da9be6

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

null

# 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, Dict, List, Mapping, Optional, Tuple, Union from . import _utilities, _tables __all__ = ['HostVirtualSwitch'] class HostVirtualSwitch(pulumi.CustomResource): def __init__(__self__, resource_name: str, opts: Optional[pulumi.ResourceOptions] = None, active_nics: Optional[pulumi.Input[List[pulumi.Input[str]]]] = None, allow_forged_transmits: Optional[pulumi.Input[bool]] = None, allow_mac_changes: Optional[pulumi.Input[bool]] = None, allow_promiscuous: Optional[pulumi.Input[bool]] = None, beacon_interval: Optional[pulumi.Input[float]] = None, check_beacon: Optional[pulumi.Input[bool]] = None, failback: Optional[pulumi.Input[bool]] = None, host_system_id: Optional[pulumi.Input[str]] = None, link_discovery_operation: Optional[pulumi.Input[str]] = None, link_discovery_protocol: Optional[pulumi.Input[str]] = None, mtu: Optional[pulumi.Input[float]] = None, name: Optional[pulumi.Input[str]] = None, network_adapters: Optional[pulumi.Input[List[pulumi.Input[str]]]] = None, notify_switches: Optional[pulumi.Input[bool]] = None, number_of_ports: Optional[pulumi.Input[float]] = None, shaping_average_bandwidth: Optional[pulumi.Input[float]] = None, shaping_burst_size: Optional[pulumi.Input[float]] = None, shaping_enabled: Optional[pulumi.Input[bool]] = None, shaping_peak_bandwidth: Optional[pulumi.Input[float]] = None, standby_nics: Optional[pulumi.Input[List[pulumi.Input[str]]]] = None, teaming_policy: Optional[pulumi.Input[str]] = None, __props__=None, __name__=None, __opts__=None): """ Create a HostVirtualSwitch resource with the given unique name, props, and options. :param str resource_name: The name of the resource. :param pulumi.ResourceOptions opts: Options for the resource. :param pulumi.Input[List[pulumi.Input[str]]] active_nics: The list of active network adapters used for load balancing. :param pulumi.Input[bool] allow_forged_transmits: Controls whether or not the virtual network adapter is allowed to send network traffic with a different MAC address than that of its own. Default: `true`. :param pulumi.Input[bool] allow_mac_changes: Controls whether or not the Media Access Control (MAC) address can be changed. Default: `true`. :param pulumi.Input[bool] allow_promiscuous: Enable promiscuous mode on the network. This flag indicates whether or not all traffic is seen on a given port. Default: `false`. :param pulumi.Input[float] beacon_interval: The interval, in seconds, that a NIC beacon packet is sent out. This can be used with `check_beacon` to offer link failure capability beyond link status only. Default: `1`. :param pulumi.Input[bool] check_beacon: Enable beacon probing - this requires that the `beacon_interval` option has been set in the bridge options. If this is set to `false`, only link status is used to check for failed NICs. Default: `false`. :param pulumi.Input[bool] failback: If set to `true`, the teaming policy will re-activate failed interfaces higher in precedence when they come back up. Default: `true`. :param pulumi.Input[str] host_system_id: The managed object ID of the host to set the virtual switch up on. Forces a new resource if changed. :param pulumi.Input[str] link_discovery_operation: Whether to `advertise` or `listen` for link discovery traffic. Default: `listen`. :param pulumi.Input[str] link_discovery_protocol: The discovery protocol type. Valid types are `cpd` and `lldp`. Default: `cdp`. :param pulumi.Input[float] mtu: The maximum transmission unit (MTU) for the virtual switch. Default: `1500`. :param pulumi.Input[str] name: The name of the virtual switch. Forces a new resource if changed. :param pulumi.Input[List[pulumi.Input[str]]] network_adapters: The network interfaces to bind to the bridge. :param pulumi.Input[bool] notify_switches: If set to `true`, the teaming policy will notify the broadcast network of a NIC failover, triggering cache updates. Default: `true`. :param pulumi.Input[float] number_of_ports: The number of ports to create with this virtual switch. Default: `128`. :param pulumi.Input[float] shaping_average_bandwidth: The average bandwidth in bits per second if traffic shaping is enabled. Default: `0` :param pulumi.Input[float] shaping_burst_size: The maximum burst size allowed in bytes if shaping is enabled. Default: `0` :param pulumi.Input[bool] shaping_enabled: Set to `true` to enable the traffic shaper for ports managed by this virtual switch. Default: `false`. :param pulumi.Input[float] shaping_peak_bandwidth: The peak bandwidth during bursts in bits per second if traffic shaping is enabled. Default: `0` :param pulumi.Input[List[pulumi.Input[str]]] standby_nics: The list of standby network adapters used for failover. :param pulumi.Input[str] teaming_policy: The network adapter teaming policy. Can be one of `loadbalance_ip`, `loadbalance_srcmac`, `loadbalance_srcid`, or `failover_explicit`. Default: `loadbalance_srcid`. """ if __name__ is not None: warnings.warn("explicit use of __name__ is deprecated", DeprecationWarning) resource_name = __name__ if __opts__ is not None: warnings.warn("explicit use of __opts__ is deprecated, use 'opts' instead", DeprecationWarning) opts = __opts__ 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__ = dict() if active_nics is None: raise TypeError("Missing required property 'active_nics'") __props__['active_nics'] = active_nics __props__['allow_forged_transmits'] = allow_forged_transmits __props__['allow_mac_changes'] = allow_mac_changes __props__['allow_promiscuous'] = allow_promiscuous __props__['beacon_interval'] = beacon_interval __props__['check_beacon'] = check_beacon __props__['failback'] = failback if host_system_id is None: raise TypeError("Missing required property 'host_system_id'") __props__['host_system_id'] = host_system_id __props__['link_discovery_operation'] = link_discovery_operation __props__['link_discovery_protocol'] = link_discovery_protocol __props__['mtu'] = mtu __props__['name'] = name if network_adapters is None: raise TypeError("Missing required property 'network_adapters'") __props__['network_adapters'] = network_adapters __props__['notify_switches'] = notify_switches __props__['number_of_ports'] = number_of_ports __props__['shaping_average_bandwidth'] = shaping_average_bandwidth __props__['shaping_burst_size'] = shaping_burst_size __props__['shaping_enabled'] = shaping_enabled __props__['shaping_peak_bandwidth'] = shaping_peak_bandwidth if standby_nics is None: raise TypeError("Missing required property 'standby_nics'") __props__['standby_nics'] = standby_nics __props__['teaming_policy'] = teaming_policy super(HostVirtualSwitch, __self__).__init__( 'vsphere:index/hostVirtualSwitch:HostVirtualSwitch', resource_name, __props__, opts) @staticmethod def get(resource_name: str, id: pulumi.Input[str], opts: Optional[pulumi.ResourceOptions] = None, active_nics: Optional[pulumi.Input[List[pulumi.Input[str]]]] = None, allow_forged_transmits: Optional[pulumi.Input[bool]] = None, allow_mac_changes: Optional[pulumi.Input[bool]] = None, allow_promiscuous: Optional[pulumi.Input[bool]] = None, beacon_interval: Optional[pulumi.Input[float]] = None, check_beacon: Optional[pulumi.Input[bool]] = None, failback: Optional[pulumi.Input[bool]] = None, host_system_id: Optional[pulumi.Input[str]] = None, link_discovery_operation: Optional[pulumi.Input[str]] = None, link_discovery_protocol: Optional[pulumi.Input[str]] = None, mtu: Optional[pulumi.Input[float]] = None, name: Optional[pulumi.Input[str]] = None, network_adapters: Optional[pulumi.Input[List[pulumi.Input[str]]]] = None, notify_switches: Optional[pulumi.Input[bool]] = None, number_of_ports: Optional[pulumi.Input[float]] = None, shaping_average_bandwidth: Optional[pulumi.Input[float]] = None, shaping_burst_size: Optional[pulumi.Input[float]] = None, shaping_enabled: Optional[pulumi.Input[bool]] = None, shaping_peak_bandwidth: Optional[pulumi.Input[float]] = None, standby_nics: Optional[pulumi.Input[List[pulumi.Input[str]]]] = None, teaming_policy: Optional[pulumi.Input[str]] = None) -> 'HostVirtualSwitch': """ Get an existing HostVirtualSwitch 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[List[pulumi.Input[str]]] active_nics: The list of active network adapters used for load balancing. :param pulumi.Input[bool] allow_forged_transmits: Controls whether or not the virtual network adapter is allowed to send network traffic with a different MAC address than that of its own. Default: `true`. :param pulumi.Input[bool] allow_mac_changes: Controls whether or not the Media Access Control (MAC) address can be changed. Default: `true`. :param pulumi.Input[bool] allow_promiscuous: Enable promiscuous mode on the network. This flag indicates whether or not all traffic is seen on a given port. Default: `false`. :param pulumi.Input[float] beacon_interval: The interval, in seconds, that a NIC beacon packet is sent out. This can be used with `check_beacon` to offer link failure capability beyond link status only. Default: `1`. :param pulumi.Input[bool] check_beacon: Enable beacon probing - this requires that the `beacon_interval` option has been set in the bridge options. If this is set to `false`, only link status is used to check for failed NICs. Default: `false`. :param pulumi.Input[bool] failback: If set to `true`, the teaming policy will re-activate failed interfaces higher in precedence when they come back up. Default: `true`. :param pulumi.Input[str] host_system_id: The managed object ID of the host to set the virtual switch up on. Forces a new resource if changed. :param pulumi.Input[str] link_discovery_operation: Whether to `advertise` or `listen` for link discovery traffic. Default: `listen`. :param pulumi.Input[str] link_discovery_protocol: The discovery protocol type. Valid types are `cpd` and `lldp`. Default: `cdp`. :param pulumi.Input[float] mtu: The maximum transmission unit (MTU) for the virtual switch. Default: `1500`. :param pulumi.Input[str] name: The name of the virtual switch. Forces a new resource if changed. :param pulumi.Input[List[pulumi.Input[str]]] network_adapters: The network interfaces to bind to the bridge. :param pulumi.Input[bool] notify_switches: If set to `true`, the teaming policy will notify the broadcast network of a NIC failover, triggering cache updates. Default: `true`. :param pulumi.Input[float] number_of_ports: The number of ports to create with this virtual switch. Default: `128`. :param pulumi.Input[float] shaping_average_bandwidth: The average bandwidth in bits per second if traffic shaping is enabled. Default: `0` :param pulumi.Input[float] shaping_burst_size: The maximum burst size allowed in bytes if shaping is enabled. Default: `0` :param pulumi.Input[bool] shaping_enabled: Set to `true` to enable the traffic shaper for ports managed by this virtual switch. Default: `false`. :param pulumi.Input[float] shaping_peak_bandwidth: The peak bandwidth during bursts in bits per second if traffic shaping is enabled. Default: `0` :param pulumi.Input[List[pulumi.Input[str]]] standby_nics: The list of standby network adapters used for failover. :param pulumi.Input[str] teaming_policy: The network adapter teaming policy. Can be one of `loadbalance_ip`, `loadbalance_srcmac`, `loadbalance_srcid`, or `failover_explicit`. Default: `loadbalance_srcid`. """ opts = pulumi.ResourceOptions.merge(opts, pulumi.ResourceOptions(id=id)) __props__ = dict() __props__["active_nics"] = active_nics __props__["allow_forged_transmits"] = allow_forged_transmits __props__["allow_mac_changes"] = allow_mac_changes __props__["allow_promiscuous"] = allow_promiscuous __props__["beacon_interval"] = beacon_interval __props__["check_beacon"] = check_beacon __props__["failback"] = failback __props__["host_system_id"] = host_system_id __props__["link_discovery_operation"] = link_discovery_operation __props__["link_discovery_protocol"] = link_discovery_protocol __props__["mtu"] = mtu __props__["name"] = name __props__["network_adapters"] = network_adapters __props__["notify_switches"] = notify_switches __props__["number_of_ports"] = number_of_ports __props__["shaping_average_bandwidth"] = shaping_average_bandwidth __props__["shaping_burst_size"] = shaping_burst_size __props__["shaping_enabled"] = shaping_enabled __props__["shaping_peak_bandwidth"] = shaping_peak_bandwidth __props__["standby_nics"] = standby_nics __props__["teaming_policy"] = teaming_policy return HostVirtualSwitch(resource_name, opts=opts, __props__=__props__) @property @pulumi.getter(name="activeNics") def active_nics(self) -> pulumi.Output[List[str]]: """ The list of active network adapters used for load balancing. """ return pulumi.get(self, "active_nics") @property @pulumi.getter(name="allowForgedTransmits") def allow_forged_transmits(self) -> pulumi.Output[Optional[bool]]: """ Controls whether or not the virtual network adapter is allowed to send network traffic with a different MAC address than that of its own. Default: `true`. """ return pulumi.get(self, "allow_forged_transmits") @property @pulumi.getter(name="allowMacChanges") def allow_mac_changes(self) -> pulumi.Output[Optional[bool]]: """ Controls whether or not the Media Access Control (MAC) address can be changed. Default: `true`. """ return pulumi.get(self, "allow_mac_changes") @property @pulumi.getter(name="allowPromiscuous") def allow_promiscuous(self) -> pulumi.Output[Optional[bool]]: """ Enable promiscuous mode on the network. This flag indicates whether or not all traffic is seen on a given port. Default: `false`. """ return pulumi.get(self, "allow_promiscuous") @property @pulumi.getter(name="beaconInterval") def beacon_interval(self) -> pulumi.Output[Optional[float]]: """ The interval, in seconds, that a NIC beacon packet is sent out. This can be used with `check_beacon` to offer link failure capability beyond link status only. Default: `1`. """ return pulumi.get(self, "beacon_interval") @property @pulumi.getter(name="checkBeacon") def check_beacon(self) -> pulumi.Output[Optional[bool]]: """ Enable beacon probing - this requires that the `beacon_interval` option has been set in the bridge options. If this is set to `false`, only link status is used to check for failed NICs. Default: `false`. """ return pulumi.get(self, "check_beacon") @property @pulumi.getter def failback(self) -> pulumi.Output[Optional[bool]]: """ If set to `true`, the teaming policy will re-activate failed interfaces higher in precedence when they come back up. Default: `true`. """ return pulumi.get(self, "failback") @property @pulumi.getter(name="hostSystemId") def host_system_id(self) -> pulumi.Output[str]: """ The managed object ID of the host to set the virtual switch up on. Forces a new resource if changed. """ return pulumi.get(self, "host_system_id") @property @pulumi.getter(name="linkDiscoveryOperation") def link_discovery_operation(self) -> pulumi.Output[Optional[str]]: """ Whether to `advertise` or `listen` for link discovery traffic. Default: `listen`. """ return pulumi.get(self, "link_discovery_operation") @property @pulumi.getter(name="linkDiscoveryProtocol") def link_discovery_protocol(self) -> pulumi.Output[Optional[str]]: """ The discovery protocol type. Valid types are `cpd` and `lldp`. Default: `cdp`. """ return pulumi.get(self, "link_discovery_protocol") @property @pulumi.getter def mtu(self) -> pulumi.Output[Optional[float]]: """ The maximum transmission unit (MTU) for the virtual switch. Default: `1500`. """ return pulumi.get(self, "mtu") @property @pulumi.getter def name(self) -> pulumi.Output[str]: """ The name of the virtual switch. Forces a new resource if changed. """ return pulumi.get(self, "name") @property @pulumi.getter(name="networkAdapters") def network_adapters(self) -> pulumi.Output[List[str]]: """ The network interfaces to bind to the bridge. """ return pulumi.get(self, "network_adapters") @property @pulumi.getter(name="notifySwitches") def notify_switches(self) -> pulumi.Output[Optional[bool]]: """ If set to `true`, the teaming policy will notify the broadcast network of a NIC failover, triggering cache updates. Default: `true`. """ return pulumi.get(self, "notify_switches") @property @pulumi.getter(name="numberOfPorts") def number_of_ports(self) -> pulumi.Output[Optional[float]]: """ The number of ports to create with this virtual switch. Default: `128`. """ return pulumi.get(self, "number_of_ports") @property @pulumi.getter(name="shapingAverageBandwidth") def shaping_average_bandwidth(self) -> pulumi.Output[Optional[float]]: """ The average bandwidth in bits per second if traffic shaping is enabled. Default: `0` """ return pulumi.get(self, "shaping_average_bandwidth") @property @pulumi.getter(name="shapingBurstSize") def shaping_burst_size(self) -> pulumi.Output[Optional[float]]: """ The maximum burst size allowed in bytes if shaping is enabled. Default: `0` """ return pulumi.get(self, "shaping_burst_size") @property @pulumi.getter(name="shapingEnabled") def shaping_enabled(self) -> pulumi.Output[Optional[bool]]: """ Set to `true` to enable the traffic shaper for ports managed by this virtual switch. Default: `false`. """ return pulumi.get(self, "shaping_enabled") @property @pulumi.getter(name="shapingPeakBandwidth") def shaping_peak_bandwidth(self) -> pulumi.Output[Optional[float]]: """ The peak bandwidth during bursts in bits per second if traffic shaping is enabled. Default: `0` """ return pulumi.get(self, "shaping_peak_bandwidth") @property @pulumi.getter(name="standbyNics") def standby_nics(self) -> pulumi.Output[List[str]]: """ The list of standby network adapters used for failover. """ return pulumi.get(self, "standby_nics") @property @pulumi.getter(name="teamingPolicy") def teaming_policy(self) -> pulumi.Output[Optional[str]]: """ The network adapter teaming policy. Can be one of `loadbalance_ip`, `loadbalance_srcmac`, `loadbalance_srcid`, or `failover_explicit`. Default: `loadbalance_srcid`. """ return pulumi.get(self, "teaming_policy") def translate_output_property(self, prop): return _tables.CAMEL_TO_SNAKE_CASE_TABLE.get(prop) or prop def translate_input_property(self, prop): return _tables.SNAKE_TO_CAMEL_CASE_TABLE.get(prop) or prop

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null

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7

93a9d77c05564948217576f2b716d432ac24c942

93

py

Python

src/libraries/standard/os/logging/freq_filter/logger/__init__.py

studying-notes/py-notes

050f5b1ac329835bf1c09496267592d7089dfcc0

[ "MIT" ]

null

src/libraries/standard/os/logging/freq_filter/logger/__init__.py

studying-notes/py-notes

050f5b1ac329835bf1c09496267592d7089dfcc0

[ "MIT" ]

null

src/libraries/standard/os/logging/freq_filter/logger/__init__.py

studying-notes/py-notes

050f5b1ac329835bf1c09496267592d7089dfcc0

[ "MIT" ]

null

""" Date: 2022.05.20 09:37:27 LastEditors: Rustle Karl LastEditTime: 2022.05.20 09:37:31 """

15.5

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0

8

93d539421df240ab565d733559a657b47970a2b0

7,209

py

Python

day13/day13.py

clefever/aoc2018

29b3101e828970758503e61e7195b2351a11c9a6

[ "MIT" ]

null

day13/day13.py

clefever/aoc2018

29b3101e828970758503e61e7195b2351a11c9a6

[ "MIT" ]

null

day13/day13.py

clefever/aoc2018

29b3101e828970758503e61e7195b2351a11c9a6

[ "MIT" ]

null

from pathlib import Path def part1(input_str): lines = input_str.splitlines() track_dict = {} cart_list = [] height = len(lines) width = len(lines[0]) carts = ">v<^" for y in range(height): for x in range(width): track_dict[x,y] = lines[y][x] cid = 0 for y in range(height): for x in range(width): if track_dict[x,y] in carts: cart_list.append((x, y, track_dict[x,y], 0, cid)) cid += 1 if track_dict[x,y] == ">" or track_dict[x,y] == "<": track_dict[x,y] = "-" elif track_dict[x,y] == "^" or track_dict[x,y] == "v": track_dict[x,y] = "|" while True: for i in range(len(cart_list)): move_dir = None if cart_list[i][2] == ">": move_dir = (1,0) elif cart_list[i][2] == "v": move_dir = (0,1) elif cart_list[i][2] == "<": move_dir = (-1,0) else: move_dir = (0,-1) next_section = (cart_list[i][0]+move_dir[0],cart_list[i][1]+move_dir[1]) next_icon = cart_list[i][2] next_turn = cart_list[i][3] if track_dict[next_section] == "+": if cart_list[i][3] == 0: if cart_list[i][2] == ">": next_icon = "^" elif cart_list[i][2] == "v": next_icon = ">" elif cart_list[i][2]== "<": next_icon = "v" else: next_icon = "<" elif cart_list[i][3] == 2: if cart_list[i][2] == ">": next_icon = "v" elif cart_list[i][2] == "v": next_icon = "<" elif cart_list[i][2]== "<": next_icon = "^" else: next_icon = ">" next_turn = (cart_list[i][3] + 1) % 3 elif track_dict[next_section] == "/": if cart_list[i][2] == ">": next_icon = "^" elif cart_list[i][2] == "v": next_icon = "<" elif cart_list[i][2]== "<": next_icon = "v" else: next_icon = ">" elif track_dict[next_section]== "\\": if cart_list[i][2] == ">": next_icon = "v" elif cart_list[i][2] == "v": next_icon = ">" elif cart_list[i][2]== "<": next_icon = "^" else: next_icon = "<" cart_list[i] = (cart_list[i][0] + move_dir[0], cart_list[i][1] + move_dir[1], next_icon, next_turn, cart_list[i][4]) for c in cart_list: if c[4] != cart_list[i][4]: if cart_list[i][0] == c[0] and cart_list[i][1] == c[1]: return str(c[0]) + "," + str(c[1]) def part2(input_str): lines = input_str.splitlines() track_dict = {} cart_list = [] height = len(lines) width = len(lines[0]) carts = ">v<^" for y in range(height): for x in range(width): track_dict[x,y] = lines[y][x] cid = 0 for y in range(height): for x in range(width): if track_dict[x,y] in carts: cart_list.append((x, y, track_dict[x,y], 0, cid, True)) cid += 1 if track_dict[x,y] == ">" or track_dict[x,y] == "<": track_dict[x,y] = "-" elif track_dict[x,y] == "^" or track_dict[x,y] == "v": track_dict[x,y] = "|" while True: cart_list.sort(key=lambda c: (c[1],c[0])) for i in range(len(cart_list)): if cart_list[i][5]: move_dir = None if cart_list[i][2] == ">": move_dir = (1,0) elif cart_list[i][2] == "v": move_dir = (0,1) elif cart_list[i][2] == "<": move_dir = (-1,0) else: move_dir = (0,-1) next_section = (cart_list[i][0]+move_dir[0],cart_list[i][1]+move_dir[1]) next_icon = cart_list[i][2] next_turn = cart_list[i][3] if track_dict[next_section] == "+": if cart_list[i][3] == 0: if cart_list[i][2] == ">": next_icon = "^" elif cart_list[i][2] == "v": next_icon = ">" elif cart_list[i][2]== "<": next_icon = "v" else: next_icon = "<" elif cart_list[i][3] == 2: if cart_list[i][2] == ">": next_icon = "v" elif cart_list[i][2] == "v": next_icon = "<" elif cart_list[i][2]== "<": next_icon = "^" else: next_icon = ">" next_turn = (cart_list[i][3] + 1) % 3 elif track_dict[next_section] == "/": if cart_list[i][2] == ">": next_icon = "^" elif cart_list[i][2] == "v": next_icon = "<" elif cart_list[i][2]== "<": next_icon = "v" else: next_icon = ">" elif track_dict[next_section]== "\\": if cart_list[i][2] == ">": next_icon = "v" elif cart_list[i][2] == "v": next_icon = ">" elif cart_list[i][2]== "<": next_icon = "^" else: next_icon = "<" cart_list[i] = (cart_list[i][0] + move_dir[0], cart_list[i][1] + move_dir[1], next_icon, next_turn, cart_list[i][4], cart_list[i][5]) remaining = [k for k in cart_list if k[5]] list_len = len(remaining) if list_len == 1: return str(remaining[0][0]) + "," + str(remaining[0][1]) for j in range(len(cart_list)): if cart_list[j][5] and cart_list[j][4] != cart_list[i][4]: if cart_list[i][0] == cart_list[j][0] and cart_list[i][1] == cart_list[j][1]: cart_list[i] = (cart_list[i][0], cart_list[i][1], cart_list[i][2], cart_list[i][3], cart_list[i][4], False) cart_list[j] = (cart_list[j][0], cart_list[j][1], cart_list[j][2], cart_list[j][3], cart_list[j][4], False) def main(): input_str = Path("input").read_text() print(part1(input_str)) print(part2(input_str)) if __name__ == "__main__": main()

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0.229965

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0.821138

0.803717

0.782036

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0.033068

0.458871

7,209

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0.629069

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false

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0

null

1

0

1

0

1

0

null

0

9

93d900a7e0e0cb9b18028d30aaa657413b9395bf

153

py

Python

methods/__init__.py

bibsAPB/pathways-analysis

b3a094b98e3022b7a7d959f93e62101483117372

[ "MIT" ]

null

methods/__init__.py

bibsAPB/pathways-analysis

b3a094b98e3022b7a7d959f93e62101483117372

[ "MIT" ]

null

methods/__init__.py

bibsAPB/pathways-analysis

b3a094b98e3022b7a7d959f93e62101483117372

[ "MIT" ]

3

2018-04-24T14:28:43.000Z

2018-05-11T12:18:10.000Z

from .gsea import * from .impact_analysis import * from .LRpath import * from .method import Method from .method import MethodResult from .SPIA import *

21.857143

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null

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7

190fe3e2603ca5ec961f5c5016b5b7139634f791

1,084

py

Python

_graveyard/__common__.py

Erotemic/hotspotter

3cfa4015798e21385455b937f9083405c4b3cf53

[ "Apache-2.0" ]

2

2015-07-19T02:55:06.000Z

2021-07-07T02:38:26.000Z

_graveyard/__common__.py

Erotemic/hotspotter

3cfa4015798e21385455b937f9083405c4b3cf53

[ "Apache-2.0" ]

5

2017-03-11T16:30:26.000Z

2021-04-10T16:42:10.000Z

_graveyard/__common__.py

Erotemic/hotspotter

3cfa4015798e21385455b937f9083405c4b3cf53

[ "Apache-2.0" ]

10

2015-07-19T03:05:42.000Z

2021-08-24T14:48:59.000Z

from __future__ import division, print_function import __builtin__ import sys # Toggleable printing print = __builtin__.print print_ = sys.stdout.write def print_on(): global print, print_ print = __builtin__.print print_ = sys.stdout.write def print_off(): global print, print_ def print(*args, **kwargs): pass def print_(*args, **kwargs): pass # Dynamic module reloading def reload_module(): import imp, sys print('[___] reloading '+__name__) imp.reload(sys.modules[__name__]) rrr = reload_module code = ''' from __future__ import division, print_function import __builtin__ import sys # Toggleable printing print = __builtin__.print print_ = sys.stdout.write def print_on(): global print, print_ print = __builtin__.print print_ = sys.stdout.write def print_off(): global print, print_ def print(*args, **kwargs): pass def print_(*args, **kwargs): pass # Dynamic module reloading def reload_module(): import imp, sys print('[___] reloading '+__name__) imp.reload(sys.modules[__name__]) rrr = reload_module '''

23.565217

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137

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0.141643

0.096317

0.124646

0.994334

0

0.176199

1,084

45

48

24.088889

0.790594

0.04059

0

0.789474

0

0.535198

0.031823

0

null

0.105263

0.210526

null

0.605263

0

null

0

1

0

1

0

null

0

1

0

1

0

1

0

10

191bce595c583d33194231a8bd1d14d86e49210d

154,738

py

Python

napalm_yang/models/openconfig/network_instances/network_instance/mpls/signaling_protocols/rsvp_te/sessions/session/state/__init__.py

ckishimo/napalm-yang

8f2bd907bd3afcde3c2f8e985192de74748baf6c

[ "Apache-2.0" ]

64

2016-10-20T15:47:18.000Z

2021-11-11T11:57:32.000Z

napalm_yang/models/openconfig/network_instances/network_instance/mpls/signaling_protocols/rsvp_te/sessions/session/state/__init__.py

ckishimo/napalm-yang

8f2bd907bd3afcde3c2f8e985192de74748baf6c

[ "Apache-2.0" ]

126

2016-10-05T10:36:14.000Z

2019-05-15T08:43:23.000Z

napalm_yang/models/openconfig/network_instances/network_instance/mpls/signaling_protocols/rsvp_te/sessions/session/state/__init__.py

ckishimo/napalm-yang

8f2bd907bd3afcde3c2f8e985192de74748baf6c

[ "Apache-2.0" ]

63

2016-11-07T15:23:08.000Z

2021-09-22T14:41:16.000Z

# -*- coding: utf-8 -*- from operator import attrgetter from pyangbind.lib.yangtypes import RestrictedPrecisionDecimalType from pyangbind.lib.yangtypes import RestrictedClassType from pyangbind.lib.yangtypes import TypedListType from pyangbind.lib.yangtypes import YANGBool from pyangbind.lib.yangtypes import YANGListType from pyangbind.lib.yangtypes import YANGDynClass from pyangbind.lib.yangtypes import ReferenceType from pyangbind.lib.base import PybindBase from collections import OrderedDict from decimal import Decimal from bitarray import bitarray import six # PY3 support of some PY2 keywords (needs improved) if six.PY3: import builtins as __builtin__ long = int elif six.PY2: import __builtin__ from . import sender_tspec class state(PybindBase): """ This class was auto-generated by the PythonClass plugin for PYANG from YANG module openconfig-network-instance - based on the path /network-instances/network-instance/mpls/signaling-protocols/rsvp-te/sessions/session/state. Each member element of the container is represented as a class variable - with a specific YANG type. YANG Description: Operational state parameters relating to the RSVP session """ __slots__ = ( "_path_helper", "_extmethods", "__local_index", "__source_address", "__destination_address", "__tunnel_id", "__lsp_id", "__session_name", "__status", "__type", "__protection_requested", "__label_in", "__label_out", "__sender_tspec", ) _yang_name = "state" _pybind_generated_by = "container" def __init__(self, *args, **kwargs): self._path_helper = False self._extmethods = False self.__local_index = YANGDynClass( base=RestrictedClassType( base_type=long, restriction_dict={"range": ["0..18446744073709551615"]}, int_size=64, ), is_leaf=True, yang_name="local-index", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="uint64", is_config=False, ) self.__source_address = YANGDynClass( base=[ RestrictedClassType( base_type=six.text_type, restriction_dict={ "pattern": "(([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])\\.){3}([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])(%[\\p{N}\\p{L}]+)?" }, ), RestrictedClassType( base_type=six.text_type, restriction_dict={ "pattern": "((:|[0-9a-fA-F]{0,4}):)([0-9a-fA-F]{0,4}:){0,5}((([0-9a-fA-F]{0,4}:)?(:|[0-9a-fA-F]{0,4}))|(((25[0-5]|2[0-4][0-9]|[01]?[0-9]?[0-9])\\.){3}(25[0-5]|2[0-4][0-9]|[01]?[0-9]?[0-9])))(%[\\p{N}\\p{L}]+)?" }, ), ], is_leaf=True, yang_name="source-address", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="inet:ip-address", is_config=False, ) self.__destination_address = YANGDynClass( base=[ RestrictedClassType( base_type=six.text_type, restriction_dict={ "pattern": "(([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])\\.){3}([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])(%[\\p{N}\\p{L}]+)?" }, ), RestrictedClassType( base_type=six.text_type, restriction_dict={ "pattern": "((:|[0-9a-fA-F]{0,4}):)([0-9a-fA-F]{0,4}:){0,5}((([0-9a-fA-F]{0,4}:)?(:|[0-9a-fA-F]{0,4}))|(((25[0-5]|2[0-4][0-9]|[01]?[0-9]?[0-9])\\.){3}(25[0-5]|2[0-4][0-9]|[01]?[0-9]?[0-9])))(%[\\p{N}\\p{L}]+)?" }, ), ], is_leaf=True, yang_name="destination-address", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="inet:ip-address", is_config=False, ) self.__tunnel_id = YANGDynClass( base=RestrictedClassType( base_type=int, restriction_dict={"range": ["0..65535"]}, int_size=16 ), is_leaf=True, yang_name="tunnel-id", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="uint16", is_config=False, ) self.__lsp_id = YANGDynClass( base=RestrictedClassType( base_type=int, restriction_dict={"range": ["0..65535"]}, int_size=16 ), is_leaf=True, yang_name="lsp-id", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="uint16", is_config=False, ) self.__session_name = YANGDynClass( base=six.text_type, is_leaf=True, yang_name="session-name", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="string", is_config=False, ) self.__status = YANGDynClass( base=RestrictedClassType( base_type=six.text_type, restriction_type="dict_key", restriction_arg={"UP": {}, "DOWN": {}}, ), is_leaf=True, yang_name="status", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="enumeration", is_config=False, ) self.__type = YANGDynClass( base=RestrictedClassType( base_type=six.text_type, restriction_type="dict_key", restriction_arg={ "INGRESS": { "@module": "openconfig-mpls-types", "@namespace": "http://openconfig.net/yang/mpls-types", }, "oc-mpls-types:INGRESS": { "@module": "openconfig-mpls-types", "@namespace": "http://openconfig.net/yang/mpls-types", }, "oc-mplst:INGRESS": { "@module": "openconfig-mpls-types", "@namespace": "http://openconfig.net/yang/mpls-types", }, "oc-mpls-t:INGRESS": { "@module": "openconfig-mpls-types", "@namespace": "http://openconfig.net/yang/mpls-types", }, "EGRESS": { "@module": "openconfig-mpls-types", "@namespace": "http://openconfig.net/yang/mpls-types", }, "oc-mpls-types:EGRESS": { "@module": "openconfig-mpls-types", "@namespace": "http://openconfig.net/yang/mpls-types", }, "oc-mplst:EGRESS": { "@module": "openconfig-mpls-types", "@namespace": "http://openconfig.net/yang/mpls-types", }, "oc-mpls-t:EGRESS": { "@module": "openconfig-mpls-types", "@namespace": "http://openconfig.net/yang/mpls-types", }, "TRANSIT": { "@module": "openconfig-mpls-types", "@namespace": "http://openconfig.net/yang/mpls-types", }, "oc-mpls-types:TRANSIT": { "@module": "openconfig-mpls-types", "@namespace": "http://openconfig.net/yang/mpls-types", }, "oc-mplst:TRANSIT": { "@module": "openconfig-mpls-types", "@namespace": "http://openconfig.net/yang/mpls-types", }, "oc-mpls-t:TRANSIT": { "@module": "openconfig-mpls-types", "@namespace": "http://openconfig.net/yang/mpls-types", }, }, ), is_leaf=True, yang_name="type", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="identityref", is_config=False, ) self.__protection_requested = YANGDynClass( base=RestrictedClassType( base_type=six.text_type, restriction_type="dict_key", restriction_arg={ "UNPROTECTED": { "@module": "openconfig-mpls-types", "@namespace": "http://openconfig.net/yang/mpls-types", }, "oc-mpls-types:UNPROTECTED": { "@module": "openconfig-mpls-types", "@namespace": "http://openconfig.net/yang/mpls-types", }, "oc-mplst:UNPROTECTED": { "@module": "openconfig-mpls-types", "@namespace": "http://openconfig.net/yang/mpls-types", }, "oc-mpls-t:UNPROTECTED": { "@module": "openconfig-mpls-types", "@namespace": "http://openconfig.net/yang/mpls-types", }, "LINK_PROTECTION_REQUIRED": { "@module": "openconfig-mpls-types", "@namespace": "http://openconfig.net/yang/mpls-types", }, "oc-mpls-types:LINK_PROTECTION_REQUIRED": { "@module": "openconfig-mpls-types", "@namespace": "http://openconfig.net/yang/mpls-types", }, "oc-mplst:LINK_PROTECTION_REQUIRED": { "@module": "openconfig-mpls-types", "@namespace": "http://openconfig.net/yang/mpls-types", }, "oc-mpls-t:LINK_PROTECTION_REQUIRED": { "@module": "openconfig-mpls-types", "@namespace": "http://openconfig.net/yang/mpls-types", }, "LINK_NODE_PROTECTION_REQUESTED": { "@module": "openconfig-mpls-types", "@namespace": "http://openconfig.net/yang/mpls-types", }, "oc-mpls-types:LINK_NODE_PROTECTION_REQUESTED": { "@module": "openconfig-mpls-types", "@namespace": "http://openconfig.net/yang/mpls-types", }, "oc-mplst:LINK_NODE_PROTECTION_REQUESTED": { "@module": "openconfig-mpls-types", "@namespace": "http://openconfig.net/yang/mpls-types", }, "oc-mpls-t:LINK_NODE_PROTECTION_REQUESTED": { "@module": "openconfig-mpls-types", "@namespace": "http://openconfig.net/yang/mpls-types", }, }, ), is_leaf=True, yang_name="protection-requested", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="identityref", is_config=False, ) self.__label_in = YANGDynClass( base=[ RestrictedClassType( base_type=RestrictedClassType( base_type=long, restriction_dict={"range": ["0..4294967295"]}, int_size=32, ), restriction_dict={"range": ["16..1048575"]}, ), RestrictedClassType( base_type=six.text_type, restriction_type="dict_key", restriction_arg={ "IPV4_EXPLICIT_NULL": {"value": 0}, "ROUTER_ALERT": {"value": 1}, "IPV6_EXPLICIT_NULL": {"value": 2}, "IMPLICIT_NULL": {"value": 3}, "ENTROPY_LABEL_INDICATOR": {"value": 7}, "NO_LABEL": {}, }, ), ], is_leaf=True, yang_name="label-in", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="oc-mplst:mpls-label", is_config=False, ) self.__label_out = YANGDynClass( base=[ RestrictedClassType( base_type=RestrictedClassType( base_type=long, restriction_dict={"range": ["0..4294967295"]}, int_size=32, ), restriction_dict={"range": ["16..1048575"]}, ), RestrictedClassType( base_type=six.text_type, restriction_type="dict_key", restriction_arg={ "IPV4_EXPLICIT_NULL": {"value": 0}, "ROUTER_ALERT": {"value": 1}, "IPV6_EXPLICIT_NULL": {"value": 2}, "IMPLICIT_NULL": {"value": 3}, "ENTROPY_LABEL_INDICATOR": {"value": 7}, "NO_LABEL": {}, }, ), ], is_leaf=True, yang_name="label-out", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="oc-mplst:mpls-label", is_config=False, ) self.__sender_tspec = YANGDynClass( base=sender_tspec.sender_tspec, is_container="container", yang_name="sender-tspec", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions=None, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="container", is_config=False, ) load = kwargs.pop("load", None) if args: if len(args) > 1: raise TypeError("cannot create a YANG container with >1 argument") all_attr = True for e in self._pyangbind_elements: if not hasattr(args[0], e): all_attr = False break if not all_attr: raise ValueError("Supplied object did not have the correct attributes") for e in self._pyangbind_elements: nobj = getattr(args[0], e) if nobj._changed() is False: continue setmethod = getattr(self, "_set_%s" % e) if load is None: setmethod(getattr(args[0], e)) else: setmethod(getattr(args[0], e), load=load) def _path(self): if hasattr(self, "_parent"): return self._parent._path() + [self._yang_name] else: return [ "network-instances", "network-instance", "mpls", "signaling-protocols", "rsvp-te", "sessions", "session", "state", ] def _get_local_index(self): """ Getter method for local_index, mapped from YANG variable /network_instances/network_instance/mpls/signaling_protocols/rsvp_te/sessions/session/state/local_index (uint64) YANG Description: The index used to identify the RSVP session on the local network element. This index is generated by the device and is unique only to the local network element. """ return self.__local_index def _set_local_index(self, v, load=False): """ Setter method for local_index, mapped from YANG variable /network_instances/network_instance/mpls/signaling_protocols/rsvp_te/sessions/session/state/local_index (uint64) If this variable is read-only (config: false) in the source YANG file, then _set_local_index is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_local_index() directly. YANG Description: The index used to identify the RSVP session on the local network element. This index is generated by the device and is unique only to the local network element. """ if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass( v, base=RestrictedClassType( base_type=long, restriction_dict={"range": ["0..18446744073709551615"]}, int_size=64, ), is_leaf=True, yang_name="local-index", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="uint64", is_config=False, ) except (TypeError, ValueError): raise ValueError( { "error-string": """local_index must be of a type compatible with uint64""", "defined-type": "uint64", "generated-type": """YANGDynClass(base=RestrictedClassType(base_type=long, restriction_dict={'range': ['0..18446744073709551615']}, int_size=64), is_leaf=True, yang_name="local-index", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='http://openconfig.net/yang/network-instance', defining_module='openconfig-network-instance', yang_type='uint64', is_config=False)""", } ) self.__local_index = t if hasattr(self, "_set"): self._set() def _unset_local_index(self): self.__local_index = YANGDynClass( base=RestrictedClassType( base_type=long, restriction_dict={"range": ["0..18446744073709551615"]}, int_size=64, ), is_leaf=True, yang_name="local-index", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="uint64", is_config=False, ) def _get_source_address(self): """ Getter method for source_address, mapped from YANG variable /network_instances/network_instance/mpls/signaling_protocols/rsvp_te/sessions/session/state/source_address (inet:ip-address) YANG Description: Origin address of RSVP session """ return self.__source_address def _set_source_address(self, v, load=False): """ Setter method for source_address, mapped from YANG variable /network_instances/network_instance/mpls/signaling_protocols/rsvp_te/sessions/session/state/source_address (inet:ip-address) If this variable is read-only (config: false) in the source YANG file, then _set_source_address is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_source_address() directly. YANG Description: Origin address of RSVP session """ if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass( v, base=[ RestrictedClassType( base_type=six.text_type, restriction_dict={ "pattern": "(([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])\\.){3}([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])(%[\\p{N}\\p{L}]+)?" }, ), RestrictedClassType( base_type=six.text_type, restriction_dict={ "pattern": "((:|[0-9a-fA-F]{0,4}):)([0-9a-fA-F]{0,4}:){0,5}((([0-9a-fA-F]{0,4}:)?(:|[0-9a-fA-F]{0,4}))|(((25[0-5]|2[0-4][0-9]|[01]?[0-9]?[0-9])\\.){3}(25[0-5]|2[0-4][0-9]|[01]?[0-9]?[0-9])))(%[\\p{N}\\p{L}]+)?" }, ), ], is_leaf=True, yang_name="source-address", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="inet:ip-address", is_config=False, ) except (TypeError, ValueError): raise ValueError( { "error-string": """source_address must be of a type compatible with inet:ip-address""", "defined-type": "inet:ip-address", "generated-type": """YANGDynClass(base=[RestrictedClassType(base_type=six.text_type, restriction_dict={'pattern': '(([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])\\.){3}([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])(%[\\p{N}\\p{L}]+)?'}),RestrictedClassType(base_type=six.text_type, restriction_dict={'pattern': '((:|[0-9a-fA-F]{0,4}):)([0-9a-fA-F]{0,4}:){0,5}((([0-9a-fA-F]{0,4}:)?(:|[0-9a-fA-F]{0,4}))|(((25[0-5]|2[0-4][0-9]|[01]?[0-9]?[0-9])\\.){3}(25[0-5]|2[0-4][0-9]|[01]?[0-9]?[0-9])))(%[\\p{N}\\p{L}]+)?'}),], is_leaf=True, yang_name="source-address", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='http://openconfig.net/yang/network-instance', defining_module='openconfig-network-instance', yang_type='inet:ip-address', is_config=False)""", } ) self.__source_address = t if hasattr(self, "_set"): self._set() def _unset_source_address(self): self.__source_address = YANGDynClass( base=[ RestrictedClassType( base_type=six.text_type, restriction_dict={ "pattern": "(([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])\\.){3}([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])(%[\\p{N}\\p{L}]+)?" }, ), RestrictedClassType( base_type=six.text_type, restriction_dict={ "pattern": "((:|[0-9a-fA-F]{0,4}):)([0-9a-fA-F]{0,4}:){0,5}((([0-9a-fA-F]{0,4}:)?(:|[0-9a-fA-F]{0,4}))|(((25[0-5]|2[0-4][0-9]|[01]?[0-9]?[0-9])\\.){3}(25[0-5]|2[0-4][0-9]|[01]?[0-9]?[0-9])))(%[\\p{N}\\p{L}]+)?" }, ), ], is_leaf=True, yang_name="source-address", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="inet:ip-address", is_config=False, ) def _get_destination_address(self): """ Getter method for destination_address, mapped from YANG variable /network_instances/network_instance/mpls/signaling_protocols/rsvp_te/sessions/session/state/destination_address (inet:ip-address) YANG Description: Destination address of RSVP session """ return self.__destination_address def _set_destination_address(self, v, load=False): """ Setter method for destination_address, mapped from YANG variable /network_instances/network_instance/mpls/signaling_protocols/rsvp_te/sessions/session/state/destination_address (inet:ip-address) If this variable is read-only (config: false) in the source YANG file, then _set_destination_address is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_destination_address() directly. YANG Description: Destination address of RSVP session """ if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass( v, base=[ RestrictedClassType( base_type=six.text_type, restriction_dict={ "pattern": "(([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])\\.){3}([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])(%[\\p{N}\\p{L}]+)?" }, ), RestrictedClassType( base_type=six.text_type, restriction_dict={ "pattern": "((:|[0-9a-fA-F]{0,4}):)([0-9a-fA-F]{0,4}:){0,5}((([0-9a-fA-F]{0,4}:)?(:|[0-9a-fA-F]{0,4}))|(((25[0-5]|2[0-4][0-9]|[01]?[0-9]?[0-9])\\.){3}(25[0-5]|2[0-4][0-9]|[01]?[0-9]?[0-9])))(%[\\p{N}\\p{L}]+)?" }, ), ], is_leaf=True, yang_name="destination-address", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="inet:ip-address", is_config=False, ) except (TypeError, ValueError): raise ValueError( { "error-string": """destination_address must be of a type compatible with inet:ip-address""", "defined-type": "inet:ip-address", "generated-type": """YANGDynClass(base=[RestrictedClassType(base_type=six.text_type, restriction_dict={'pattern': '(([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])\\.){3}([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])(%[\\p{N}\\p{L}]+)?'}),RestrictedClassType(base_type=six.text_type, restriction_dict={'pattern': '((:|[0-9a-fA-F]{0,4}):)([0-9a-fA-F]{0,4}:){0,5}((([0-9a-fA-F]{0,4}:)?(:|[0-9a-fA-F]{0,4}))|(((25[0-5]|2[0-4][0-9]|[01]?[0-9]?[0-9])\\.){3}(25[0-5]|2[0-4][0-9]|[01]?[0-9]?[0-9])))(%[\\p{N}\\p{L}]+)?'}),], is_leaf=True, yang_name="destination-address", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='http://openconfig.net/yang/network-instance', defining_module='openconfig-network-instance', yang_type='inet:ip-address', is_config=False)""", } ) self.__destination_address = t if hasattr(self, "_set"): self._set() def _unset_destination_address(self): self.__destination_address = YANGDynClass( base=[ RestrictedClassType( base_type=six.text_type, restriction_dict={ "pattern": "(([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])\\.){3}([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])(%[\\p{N}\\p{L}]+)?" }, ), RestrictedClassType( base_type=six.text_type, restriction_dict={ "pattern": "((:|[0-9a-fA-F]{0,4}):)([0-9a-fA-F]{0,4}:){0,5}((([0-9a-fA-F]{0,4}:)?(:|[0-9a-fA-F]{0,4}))|(((25[0-5]|2[0-4][0-9]|[01]?[0-9]?[0-9])\\.){3}(25[0-5]|2[0-4][0-9]|[01]?[0-9]?[0-9])))(%[\\p{N}\\p{L}]+)?" }, ), ], is_leaf=True, yang_name="destination-address", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="inet:ip-address", is_config=False, ) def _get_tunnel_id(self): """ Getter method for tunnel_id, mapped from YANG variable /network_instances/network_instance/mpls/signaling_protocols/rsvp_te/sessions/session/state/tunnel_id (uint16) YANG Description: The tunnel ID is an identifier used in the RSVP session, which remains constant over the life of the tunnel. """ return self.__tunnel_id def _set_tunnel_id(self, v, load=False): """ Setter method for tunnel_id, mapped from YANG variable /network_instances/network_instance/mpls/signaling_protocols/rsvp_te/sessions/session/state/tunnel_id (uint16) If this variable is read-only (config: false) in the source YANG file, then _set_tunnel_id is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_tunnel_id() directly. YANG Description: The tunnel ID is an identifier used in the RSVP session, which remains constant over the life of the tunnel. """ if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass( v, base=RestrictedClassType( base_type=int, restriction_dict={"range": ["0..65535"]}, int_size=16 ), is_leaf=True, yang_name="tunnel-id", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="uint16", is_config=False, ) except (TypeError, ValueError): raise ValueError( { "error-string": """tunnel_id must be of a type compatible with uint16""", "defined-type": "uint16", "generated-type": """YANGDynClass(base=RestrictedClassType(base_type=int, restriction_dict={'range': ['0..65535']},int_size=16), is_leaf=True, yang_name="tunnel-id", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='http://openconfig.net/yang/network-instance', defining_module='openconfig-network-instance', yang_type='uint16', is_config=False)""", } ) self.__tunnel_id = t if hasattr(self, "_set"): self._set() def _unset_tunnel_id(self): self.__tunnel_id = YANGDynClass( base=RestrictedClassType( base_type=int, restriction_dict={"range": ["0..65535"]}, int_size=16 ), is_leaf=True, yang_name="tunnel-id", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="uint16", is_config=False, ) def _get_lsp_id(self): """ Getter method for lsp_id, mapped from YANG variable /network_instances/network_instance/mpls/signaling_protocols/rsvp_te/sessions/session/state/lsp_id (uint16) YANG Description: The LSP ID distinguishes between two LSPs originated from the same headend, and is commonly used to distinguish RSVP sessions during make before break operations. """ return self.__lsp_id def _set_lsp_id(self, v, load=False): """ Setter method for lsp_id, mapped from YANG variable /network_instances/network_instance/mpls/signaling_protocols/rsvp_te/sessions/session/state/lsp_id (uint16) If this variable is read-only (config: false) in the source YANG file, then _set_lsp_id is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_lsp_id() directly. YANG Description: The LSP ID distinguishes between two LSPs originated from the same headend, and is commonly used to distinguish RSVP sessions during make before break operations. """ if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass( v, base=RestrictedClassType( base_type=int, restriction_dict={"range": ["0..65535"]}, int_size=16 ), is_leaf=True, yang_name="lsp-id", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="uint16", is_config=False, ) except (TypeError, ValueError): raise ValueError( { "error-string": """lsp_id must be of a type compatible with uint16""", "defined-type": "uint16", "generated-type": """YANGDynClass(base=RestrictedClassType(base_type=int, restriction_dict={'range': ['0..65535']},int_size=16), is_leaf=True, yang_name="lsp-id", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='http://openconfig.net/yang/network-instance', defining_module='openconfig-network-instance', yang_type='uint16', is_config=False)""", } ) self.__lsp_id = t if hasattr(self, "_set"): self._set() def _unset_lsp_id(self): self.__lsp_id = YANGDynClass( base=RestrictedClassType( base_type=int, restriction_dict={"range": ["0..65535"]}, int_size=16 ), is_leaf=True, yang_name="lsp-id", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="uint16", is_config=False, ) def _get_session_name(self): """ Getter method for session_name, mapped from YANG variable /network_instances/network_instance/mpls/signaling_protocols/rsvp_te/sessions/session/state/session_name (string) YANG Description: The signaled name of this RSVP session. """ return self.__session_name def _set_session_name(self, v, load=False): """ Setter method for session_name, mapped from YANG variable /network_instances/network_instance/mpls/signaling_protocols/rsvp_te/sessions/session/state/session_name (string) If this variable is read-only (config: false) in the source YANG file, then _set_session_name is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_session_name() directly. YANG Description: The signaled name of this RSVP session. """ if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass( v, base=six.text_type, is_leaf=True, yang_name="session-name", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="string", is_config=False, ) except (TypeError, ValueError): raise ValueError( { "error-string": """session_name must be of a type compatible with string""", "defined-type": "string", "generated-type": """YANGDynClass(base=six.text_type, is_leaf=True, yang_name="session-name", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='http://openconfig.net/yang/network-instance', defining_module='openconfig-network-instance', yang_type='string', is_config=False)""", } ) self.__session_name = t if hasattr(self, "_set"): self._set() def _unset_session_name(self): self.__session_name = YANGDynClass( base=six.text_type, is_leaf=True, yang_name="session-name", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="string", is_config=False, ) def _get_status(self): """ Getter method for status, mapped from YANG variable /network_instances/network_instance/mpls/signaling_protocols/rsvp_te/sessions/session/state/status (enumeration) YANG Description: Enumeration of RSVP session states """ return self.__status def _set_status(self, v, load=False): """ Setter method for status, mapped from YANG variable /network_instances/network_instance/mpls/signaling_protocols/rsvp_te/sessions/session/state/status (enumeration) If this variable is read-only (config: false) in the source YANG file, then _set_status is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_status() directly. YANG Description: Enumeration of RSVP session states """ if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass( v, base=RestrictedClassType( base_type=six.text_type, restriction_type="dict_key", restriction_arg={"UP": {}, "DOWN": {}}, ), is_leaf=True, yang_name="status", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="enumeration", is_config=False, ) except (TypeError, ValueError): raise ValueError( { "error-string": """status must be of a type compatible with enumeration""", "defined-type": "openconfig-network-instance:enumeration", "generated-type": """YANGDynClass(base=RestrictedClassType(base_type=six.text_type, restriction_type="dict_key", restriction_arg={'UP': {}, 'DOWN': {}},), is_leaf=True, yang_name="status", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='http://openconfig.net/yang/network-instance', defining_module='openconfig-network-instance', yang_type='enumeration', is_config=False)""", } ) self.__status = t if hasattr(self, "_set"): self._set() def _unset_status(self): self.__status = YANGDynClass( base=RestrictedClassType( base_type=six.text_type, restriction_type="dict_key", restriction_arg={"UP": {}, "DOWN": {}}, ), is_leaf=True, yang_name="status", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="enumeration", is_config=False, ) def _get_type(self): """ Getter method for type, mapped from YANG variable /network_instances/network_instance/mpls/signaling_protocols/rsvp_te/sessions/session/state/type (identityref) YANG Description: The type/role of the RSVP session, signifing the session's role on the current device, such as a transit session vs. an ingress session. """ return self.__type def _set_type(self, v, load=False): """ Setter method for type, mapped from YANG variable /network_instances/network_instance/mpls/signaling_protocols/rsvp_te/sessions/session/state/type (identityref) If this variable is read-only (config: false) in the source YANG file, then _set_type is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_type() directly. YANG Description: The type/role of the RSVP session, signifing the session's role on the current device, such as a transit session vs. an ingress session. """ if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass( v, base=RestrictedClassType( base_type=six.text_type, restriction_type="dict_key", restriction_arg={ "INGRESS": { "@module": "openconfig-mpls-types", "@namespace": "http://openconfig.net/yang/mpls-types", }, "oc-mpls-types:INGRESS": { "@module": "openconfig-mpls-types", "@namespace": "http://openconfig.net/yang/mpls-types", }, "oc-mplst:INGRESS": { "@module": "openconfig-mpls-types", "@namespace": "http://openconfig.net/yang/mpls-types", }, "oc-mpls-t:INGRESS": { "@module": "openconfig-mpls-types", "@namespace": "http://openconfig.net/yang/mpls-types", }, "EGRESS": { "@module": "openconfig-mpls-types", "@namespace": "http://openconfig.net/yang/mpls-types", }, "oc-mpls-types:EGRESS": { "@module": "openconfig-mpls-types", "@namespace": "http://openconfig.net/yang/mpls-types", }, "oc-mplst:EGRESS": { "@module": "openconfig-mpls-types", "@namespace": "http://openconfig.net/yang/mpls-types", }, "oc-mpls-t:EGRESS": { "@module": "openconfig-mpls-types", "@namespace": "http://openconfig.net/yang/mpls-types", }, "TRANSIT": { "@module": "openconfig-mpls-types", "@namespace": "http://openconfig.net/yang/mpls-types", }, "oc-mpls-types:TRANSIT": { "@module": "openconfig-mpls-types", "@namespace": "http://openconfig.net/yang/mpls-types", }, "oc-mplst:TRANSIT": { "@module": "openconfig-mpls-types", "@namespace": "http://openconfig.net/yang/mpls-types", }, "oc-mpls-t:TRANSIT": { "@module": "openconfig-mpls-types", "@namespace": "http://openconfig.net/yang/mpls-types", }, }, ), is_leaf=True, yang_name="type", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="identityref", is_config=False, ) except (TypeError, ValueError): raise ValueError( { "error-string": """type must be of a type compatible with identityref""", "defined-type": "openconfig-network-instance:identityref", "generated-type": """YANGDynClass(base=RestrictedClassType(base_type=six.text_type, restriction_type="dict_key", restriction_arg={'INGRESS': {'@module': 'openconfig-mpls-types', '@namespace': 'http://openconfig.net/yang/mpls-types'}, 'oc-mpls-types:INGRESS': {'@module': 'openconfig-mpls-types', '@namespace': 'http://openconfig.net/yang/mpls-types'}, 'oc-mplst:INGRESS': {'@module': 'openconfig-mpls-types', '@namespace': 'http://openconfig.net/yang/mpls-types'}, 'oc-mpls-t:INGRESS': {'@module': 'openconfig-mpls-types', '@namespace': 'http://openconfig.net/yang/mpls-types'}, 'EGRESS': {'@module': 'openconfig-mpls-types', '@namespace': 'http://openconfig.net/yang/mpls-types'}, 'oc-mpls-types:EGRESS': {'@module': 'openconfig-mpls-types', '@namespace': 'http://openconfig.net/yang/mpls-types'}, 'oc-mplst:EGRESS': {'@module': 'openconfig-mpls-types', '@namespace': 'http://openconfig.net/yang/mpls-types'}, 'oc-mpls-t:EGRESS': {'@module': 'openconfig-mpls-types', '@namespace': 'http://openconfig.net/yang/mpls-types'}, 'TRANSIT': {'@module': 'openconfig-mpls-types', '@namespace': 'http://openconfig.net/yang/mpls-types'}, 'oc-mpls-types:TRANSIT': {'@module': 'openconfig-mpls-types', '@namespace': 'http://openconfig.net/yang/mpls-types'}, 'oc-mplst:TRANSIT': {'@module': 'openconfig-mpls-types', '@namespace': 'http://openconfig.net/yang/mpls-types'}, 'oc-mpls-t:TRANSIT': {'@module': 'openconfig-mpls-types', '@namespace': 'http://openconfig.net/yang/mpls-types'}},), is_leaf=True, yang_name="type", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='http://openconfig.net/yang/network-instance', defining_module='openconfig-network-instance', yang_type='identityref', is_config=False)""", } ) self.__type = t if hasattr(self, "_set"): self._set() def _unset_type(self): self.__type = YANGDynClass( base=RestrictedClassType( base_type=six.text_type, restriction_type="dict_key", restriction_arg={ "INGRESS": { "@module": "openconfig-mpls-types", "@namespace": "http://openconfig.net/yang/mpls-types", }, "oc-mpls-types:INGRESS": { "@module": "openconfig-mpls-types", "@namespace": "http://openconfig.net/yang/mpls-types", }, "oc-mplst:INGRESS": { "@module": "openconfig-mpls-types", "@namespace": "http://openconfig.net/yang/mpls-types", }, "oc-mpls-t:INGRESS": { "@module": "openconfig-mpls-types", "@namespace": "http://openconfig.net/yang/mpls-types", }, "EGRESS": { "@module": "openconfig-mpls-types", "@namespace": "http://openconfig.net/yang/mpls-types", }, "oc-mpls-types:EGRESS": { "@module": "openconfig-mpls-types", "@namespace": "http://openconfig.net/yang/mpls-types", }, "oc-mplst:EGRESS": { "@module": "openconfig-mpls-types", "@namespace": "http://openconfig.net/yang/mpls-types", }, "oc-mpls-t:EGRESS": { "@module": "openconfig-mpls-types", "@namespace": "http://openconfig.net/yang/mpls-types", }, "TRANSIT": { "@module": "openconfig-mpls-types", "@namespace": "http://openconfig.net/yang/mpls-types", }, "oc-mpls-types:TRANSIT": { "@module": "openconfig-mpls-types", "@namespace": "http://openconfig.net/yang/mpls-types", }, "oc-mplst:TRANSIT": { "@module": "openconfig-mpls-types", "@namespace": "http://openconfig.net/yang/mpls-types", }, "oc-mpls-t:TRANSIT": { "@module": "openconfig-mpls-types", "@namespace": "http://openconfig.net/yang/mpls-types", }, }, ), is_leaf=True, yang_name="type", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="identityref", is_config=False, ) def _get_protection_requested(self): """ Getter method for protection_requested, mapped from YANG variable /network_instances/network_instance/mpls/signaling_protocols/rsvp_te/sessions/session/state/protection_requested (identityref) YANG Description: The type of protection requested for the RSVP session """ return self.__protection_requested def _set_protection_requested(self, v, load=False): """ Setter method for protection_requested, mapped from YANG variable /network_instances/network_instance/mpls/signaling_protocols/rsvp_te/sessions/session/state/protection_requested (identityref) If this variable is read-only (config: false) in the source YANG file, then _set_protection_requested is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_protection_requested() directly. YANG Description: The type of protection requested for the RSVP session """ if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass( v, base=RestrictedClassType( base_type=six.text_type, restriction_type="dict_key", restriction_arg={ "UNPROTECTED": { "@module": "openconfig-mpls-types", "@namespace": "http://openconfig.net/yang/mpls-types", }, "oc-mpls-types:UNPROTECTED": { "@module": "openconfig-mpls-types", "@namespace": "http://openconfig.net/yang/mpls-types", }, "oc-mplst:UNPROTECTED": { "@module": "openconfig-mpls-types", "@namespace": "http://openconfig.net/yang/mpls-types", }, "oc-mpls-t:UNPROTECTED": { "@module": "openconfig-mpls-types", "@namespace": "http://openconfig.net/yang/mpls-types", }, "LINK_PROTECTION_REQUIRED": { "@module": "openconfig-mpls-types", "@namespace": "http://openconfig.net/yang/mpls-types", }, "oc-mpls-types:LINK_PROTECTION_REQUIRED": { "@module": "openconfig-mpls-types", "@namespace": "http://openconfig.net/yang/mpls-types", }, "oc-mplst:LINK_PROTECTION_REQUIRED": { "@module": "openconfig-mpls-types", "@namespace": "http://openconfig.net/yang/mpls-types", }, "oc-mpls-t:LINK_PROTECTION_REQUIRED": { "@module": "openconfig-mpls-types", "@namespace": "http://openconfig.net/yang/mpls-types", }, "LINK_NODE_PROTECTION_REQUESTED": { "@module": "openconfig-mpls-types", "@namespace": "http://openconfig.net/yang/mpls-types", }, "oc-mpls-types:LINK_NODE_PROTECTION_REQUESTED": { "@module": "openconfig-mpls-types", "@namespace": "http://openconfig.net/yang/mpls-types", }, "oc-mplst:LINK_NODE_PROTECTION_REQUESTED": { "@module": "openconfig-mpls-types", "@namespace": "http://openconfig.net/yang/mpls-types", }, "oc-mpls-t:LINK_NODE_PROTECTION_REQUESTED": { "@module": "openconfig-mpls-types", "@namespace": "http://openconfig.net/yang/mpls-types", }, }, ), is_leaf=True, yang_name="protection-requested", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="identityref", is_config=False, ) except (TypeError, ValueError): raise ValueError( { "error-string": """protection_requested must be of a type compatible with identityref""", "defined-type": "openconfig-network-instance:identityref", "generated-type": """YANGDynClass(base=RestrictedClassType(base_type=six.text_type, restriction_type="dict_key", restriction_arg={'UNPROTECTED': {'@module': 'openconfig-mpls-types', '@namespace': 'http://openconfig.net/yang/mpls-types'}, 'oc-mpls-types:UNPROTECTED': {'@module': 'openconfig-mpls-types', '@namespace': 'http://openconfig.net/yang/mpls-types'}, 'oc-mplst:UNPROTECTED': {'@module': 'openconfig-mpls-types', '@namespace': 'http://openconfig.net/yang/mpls-types'}, 'oc-mpls-t:UNPROTECTED': {'@module': 'openconfig-mpls-types', '@namespace': 'http://openconfig.net/yang/mpls-types'}, 'LINK_PROTECTION_REQUIRED': {'@module': 'openconfig-mpls-types', '@namespace': 'http://openconfig.net/yang/mpls-types'}, 'oc-mpls-types:LINK_PROTECTION_REQUIRED': {'@module': 'openconfig-mpls-types', '@namespace': 'http://openconfig.net/yang/mpls-types'}, 'oc-mplst:LINK_PROTECTION_REQUIRED': {'@module': 'openconfig-mpls-types', '@namespace': 'http://openconfig.net/yang/mpls-types'}, 'oc-mpls-t:LINK_PROTECTION_REQUIRED': {'@module': 'openconfig-mpls-types', '@namespace': 'http://openconfig.net/yang/mpls-types'}, 'LINK_NODE_PROTECTION_REQUESTED': {'@module': 'openconfig-mpls-types', '@namespace': 'http://openconfig.net/yang/mpls-types'}, 'oc-mpls-types:LINK_NODE_PROTECTION_REQUESTED': {'@module': 'openconfig-mpls-types', '@namespace': 'http://openconfig.net/yang/mpls-types'}, 'oc-mplst:LINK_NODE_PROTECTION_REQUESTED': {'@module': 'openconfig-mpls-types', '@namespace': 'http://openconfig.net/yang/mpls-types'}, 'oc-mpls-t:LINK_NODE_PROTECTION_REQUESTED': {'@module': 'openconfig-mpls-types', '@namespace': 'http://openconfig.net/yang/mpls-types'}},), is_leaf=True, yang_name="protection-requested", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='http://openconfig.net/yang/network-instance', defining_module='openconfig-network-instance', yang_type='identityref', is_config=False)""", } ) self.__protection_requested = t if hasattr(self, "_set"): self._set() def _unset_protection_requested(self): self.__protection_requested = YANGDynClass( base=RestrictedClassType( base_type=six.text_type, restriction_type="dict_key", restriction_arg={ "UNPROTECTED": { "@module": "openconfig-mpls-types", "@namespace": "http://openconfig.net/yang/mpls-types", }, "oc-mpls-types:UNPROTECTED": { "@module": "openconfig-mpls-types", "@namespace": "http://openconfig.net/yang/mpls-types", }, "oc-mplst:UNPROTECTED": { "@module": "openconfig-mpls-types", "@namespace": "http://openconfig.net/yang/mpls-types", }, "oc-mpls-t:UNPROTECTED": { "@module": "openconfig-mpls-types", "@namespace": "http://openconfig.net/yang/mpls-types", }, "LINK_PROTECTION_REQUIRED": { "@module": "openconfig-mpls-types", "@namespace": "http://openconfig.net/yang/mpls-types", }, "oc-mpls-types:LINK_PROTECTION_REQUIRED": { "@module": "openconfig-mpls-types", "@namespace": "http://openconfig.net/yang/mpls-types", }, "oc-mplst:LINK_PROTECTION_REQUIRED": { "@module": "openconfig-mpls-types", "@namespace": "http://openconfig.net/yang/mpls-types", }, "oc-mpls-t:LINK_PROTECTION_REQUIRED": { "@module": "openconfig-mpls-types", "@namespace": "http://openconfig.net/yang/mpls-types", }, "LINK_NODE_PROTECTION_REQUESTED": { "@module": "openconfig-mpls-types", "@namespace": "http://openconfig.net/yang/mpls-types", }, "oc-mpls-types:LINK_NODE_PROTECTION_REQUESTED": { "@module": "openconfig-mpls-types", "@namespace": "http://openconfig.net/yang/mpls-types", }, "oc-mplst:LINK_NODE_PROTECTION_REQUESTED": { "@module": "openconfig-mpls-types", "@namespace": "http://openconfig.net/yang/mpls-types", }, "oc-mpls-t:LINK_NODE_PROTECTION_REQUESTED": { "@module": "openconfig-mpls-types", "@namespace": "http://openconfig.net/yang/mpls-types", }, }, ), is_leaf=True, yang_name="protection-requested", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="identityref", is_config=False, ) def _get_label_in(self): """ Getter method for label_in, mapped from YANG variable /network_instances/network_instance/mpls/signaling_protocols/rsvp_te/sessions/session/state/label_in (oc-mplst:mpls-label) YANG Description: Incoming MPLS label associated with this RSVP session """ return self.__label_in def _set_label_in(self, v, load=False): """ Setter method for label_in, mapped from YANG variable /network_instances/network_instance/mpls/signaling_protocols/rsvp_te/sessions/session/state/label_in (oc-mplst:mpls-label) If this variable is read-only (config: false) in the source YANG file, then _set_label_in is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_label_in() directly. YANG Description: Incoming MPLS label associated with this RSVP session """ if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass( v, base=[ RestrictedClassType( base_type=RestrictedClassType( base_type=long, restriction_dict={"range": ["0..4294967295"]}, int_size=32, ), restriction_dict={"range": ["16..1048575"]}, ), RestrictedClassType( base_type=six.text_type, restriction_type="dict_key", restriction_arg={ "IPV4_EXPLICIT_NULL": {"value": 0}, "ROUTER_ALERT": {"value": 1}, "IPV6_EXPLICIT_NULL": {"value": 2}, "IMPLICIT_NULL": {"value": 3}, "ENTROPY_LABEL_INDICATOR": {"value": 7}, "NO_LABEL": {}, }, ), ], is_leaf=True, yang_name="label-in", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="oc-mplst:mpls-label", is_config=False, ) except (TypeError, ValueError): raise ValueError( { "error-string": """label_in must be of a type compatible with oc-mplst:mpls-label""", "defined-type": "oc-mplst:mpls-label", "generated-type": """YANGDynClass(base=[RestrictedClassType(base_type=RestrictedClassType(base_type=long, restriction_dict={'range': ['0..4294967295']}, int_size=32), restriction_dict={'range': ['16..1048575']}),RestrictedClassType(base_type=six.text_type, restriction_type="dict_key", restriction_arg={'IPV4_EXPLICIT_NULL': {'value': 0}, 'ROUTER_ALERT': {'value': 1}, 'IPV6_EXPLICIT_NULL': {'value': 2}, 'IMPLICIT_NULL': {'value': 3}, 'ENTROPY_LABEL_INDICATOR': {'value': 7}, 'NO_LABEL': {}},),], is_leaf=True, yang_name="label-in", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='http://openconfig.net/yang/network-instance', defining_module='openconfig-network-instance', yang_type='oc-mplst:mpls-label', is_config=False)""", } ) self.__label_in = t if hasattr(self, "_set"): self._set() def _unset_label_in(self): self.__label_in = YANGDynClass( base=[ RestrictedClassType( base_type=RestrictedClassType( base_type=long, restriction_dict={"range": ["0..4294967295"]}, int_size=32, ), restriction_dict={"range": ["16..1048575"]}, ), RestrictedClassType( base_type=six.text_type, restriction_type="dict_key", restriction_arg={ "IPV4_EXPLICIT_NULL": {"value": 0}, "ROUTER_ALERT": {"value": 1}, "IPV6_EXPLICIT_NULL": {"value": 2}, "IMPLICIT_NULL": {"value": 3}, "ENTROPY_LABEL_INDICATOR": {"value": 7}, "NO_LABEL": {}, }, ), ], is_leaf=True, yang_name="label-in", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="oc-mplst:mpls-label", is_config=False, ) def _get_label_out(self): """ Getter method for label_out, mapped from YANG variable /network_instances/network_instance/mpls/signaling_protocols/rsvp_te/sessions/session/state/label_out (oc-mplst:mpls-label) YANG Description: Outgoing MPLS label associated with this RSVP session """ return self.__label_out def _set_label_out(self, v, load=False): """ Setter method for label_out, mapped from YANG variable /network_instances/network_instance/mpls/signaling_protocols/rsvp_te/sessions/session/state/label_out (oc-mplst:mpls-label) If this variable is read-only (config: false) in the source YANG file, then _set_label_out is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_label_out() directly. YANG Description: Outgoing MPLS label associated with this RSVP session """ if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass( v, base=[ RestrictedClassType( base_type=RestrictedClassType( base_type=long, restriction_dict={"range": ["0..4294967295"]}, int_size=32, ), restriction_dict={"range": ["16..1048575"]}, ), RestrictedClassType( base_type=six.text_type, restriction_type="dict_key", restriction_arg={ "IPV4_EXPLICIT_NULL": {"value": 0}, "ROUTER_ALERT": {"value": 1}, "IPV6_EXPLICIT_NULL": {"value": 2}, "IMPLICIT_NULL": {"value": 3}, "ENTROPY_LABEL_INDICATOR": {"value": 7}, "NO_LABEL": {}, }, ), ], is_leaf=True, yang_name="label-out", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="oc-mplst:mpls-label", is_config=False, ) except (TypeError, ValueError): raise ValueError( { "error-string": """label_out must be of a type compatible with oc-mplst:mpls-label""", "defined-type": "oc-mplst:mpls-label", "generated-type": """YANGDynClass(base=[RestrictedClassType(base_type=RestrictedClassType(base_type=long, restriction_dict={'range': ['0..4294967295']}, int_size=32), restriction_dict={'range': ['16..1048575']}),RestrictedClassType(base_type=six.text_type, restriction_type="dict_key", restriction_arg={'IPV4_EXPLICIT_NULL': {'value': 0}, 'ROUTER_ALERT': {'value': 1}, 'IPV6_EXPLICIT_NULL': {'value': 2}, 'IMPLICIT_NULL': {'value': 3}, 'ENTROPY_LABEL_INDICATOR': {'value': 7}, 'NO_LABEL': {}},),], is_leaf=True, yang_name="label-out", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='http://openconfig.net/yang/network-instance', defining_module='openconfig-network-instance', yang_type='oc-mplst:mpls-label', is_config=False)""", } ) self.__label_out = t if hasattr(self, "_set"): self._set() def _unset_label_out(self): self.__label_out = YANGDynClass( base=[ RestrictedClassType( base_type=RestrictedClassType( base_type=long, restriction_dict={"range": ["0..4294967295"]}, int_size=32, ), restriction_dict={"range": ["16..1048575"]}, ), RestrictedClassType( base_type=six.text_type, restriction_type="dict_key", restriction_arg={ "IPV4_EXPLICIT_NULL": {"value": 0}, "ROUTER_ALERT": {"value": 1}, "IPV6_EXPLICIT_NULL": {"value": 2}, "IMPLICIT_NULL": {"value": 3}, "ENTROPY_LABEL_INDICATOR": {"value": 7}, "NO_LABEL": {}, }, ), ], is_leaf=True, yang_name="label-out", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="oc-mplst:mpls-label", is_config=False, ) def _get_sender_tspec(self): """ Getter method for sender_tspec, mapped from YANG variable /network_instances/network_instance/mpls/signaling_protocols/rsvp_te/sessions/session/state/sender_tspec (container) YANG Description: Operational state statistics relating to the SENDER_TSPEC received for the RSVP session """ return self.__sender_tspec def _set_sender_tspec(self, v, load=False): """ Setter method for sender_tspec, mapped from YANG variable /network_instances/network_instance/mpls/signaling_protocols/rsvp_te/sessions/session/state/sender_tspec (container) If this variable is read-only (config: false) in the source YANG file, then _set_sender_tspec is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_sender_tspec() directly. YANG Description: Operational state statistics relating to the SENDER_TSPEC received for the RSVP session """ if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass( v, base=sender_tspec.sender_tspec, is_container="container", yang_name="sender-tspec", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions=None, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="container", is_config=False, ) except (TypeError, ValueError): raise ValueError( { "error-string": """sender_tspec must be of a type compatible with container""", "defined-type": "container", "generated-type": """YANGDynClass(base=sender_tspec.sender_tspec, is_container='container', yang_name="sender-tspec", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions=None, namespace='http://openconfig.net/yang/network-instance', defining_module='openconfig-network-instance', yang_type='container', is_config=False)""", } ) self.__sender_tspec = t if hasattr(self, "_set"): self._set() def _unset_sender_tspec(self): self.__sender_tspec = YANGDynClass( base=sender_tspec.sender_tspec, is_container="container", yang_name="sender-tspec", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions=None, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="container", is_config=False, ) local_index = __builtin__.property(_get_local_index) source_address = __builtin__.property(_get_source_address) destination_address = __builtin__.property(_get_destination_address) tunnel_id = __builtin__.property(_get_tunnel_id) lsp_id = __builtin__.property(_get_lsp_id) session_name = __builtin__.property(_get_session_name) status = __builtin__.property(_get_status) type = __builtin__.property(_get_type) protection_requested = __builtin__.property(_get_protection_requested) label_in = __builtin__.property(_get_label_in) label_out = __builtin__.property(_get_label_out) sender_tspec = __builtin__.property(_get_sender_tspec) _pyangbind_elements = OrderedDict( [ ("local_index", local_index), ("source_address", source_address), ("destination_address", destination_address), ("tunnel_id", tunnel_id), ("lsp_id", lsp_id), ("session_name", session_name), ("status", status), ("type", type), ("protection_requested", protection_requested), ("label_in", label_in), ("label_out", label_out), ("sender_tspec", sender_tspec), ] ) from . import sender_tspec class state(PybindBase): """ This class was auto-generated by the PythonClass plugin for PYANG from YANG module openconfig-network-instance-l2 - based on the path /network-instances/network-instance/mpls/signaling-protocols/rsvp-te/sessions/session/state. Each member element of the container is represented as a class variable - with a specific YANG type. YANG Description: Operational state parameters relating to the RSVP session """ __slots__ = ( "_path_helper", "_extmethods", "__local_index", "__source_address", "__destination_address", "__tunnel_id", "__lsp_id", "__session_name", "__status", "__type", "__protection_requested", "__label_in", "__label_out", "__sender_tspec", ) _yang_name = "state" _pybind_generated_by = "container" def __init__(self, *args, **kwargs): self._path_helper = False self._extmethods = False self.__local_index = YANGDynClass( base=RestrictedClassType( base_type=long, restriction_dict={"range": ["0..18446744073709551615"]}, int_size=64, ), is_leaf=True, yang_name="local-index", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="uint64", is_config=False, ) self.__source_address = YANGDynClass( base=[ RestrictedClassType( base_type=six.text_type, restriction_dict={ "pattern": "(([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])\\.){3}([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])(%[\\p{N}\\p{L}]+)?" }, ), RestrictedClassType( base_type=six.text_type, restriction_dict={ "pattern": "((:|[0-9a-fA-F]{0,4}):)([0-9a-fA-F]{0,4}:){0,5}((([0-9a-fA-F]{0,4}:)?(:|[0-9a-fA-F]{0,4}))|(((25[0-5]|2[0-4][0-9]|[01]?[0-9]?[0-9])\\.){3}(25[0-5]|2[0-4][0-9]|[01]?[0-9]?[0-9])))(%[\\p{N}\\p{L}]+)?" }, ), ], is_leaf=True, yang_name="source-address", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="inet:ip-address", is_config=False, ) self.__destination_address = YANGDynClass( base=[ RestrictedClassType( base_type=six.text_type, restriction_dict={ "pattern": "(([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])\\.){3}([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])(%[\\p{N}\\p{L}]+)?" }, ), RestrictedClassType( base_type=six.text_type, restriction_dict={ "pattern": "((:|[0-9a-fA-F]{0,4}):)([0-9a-fA-F]{0,4}:){0,5}((([0-9a-fA-F]{0,4}:)?(:|[0-9a-fA-F]{0,4}))|(((25[0-5]|2[0-4][0-9]|[01]?[0-9]?[0-9])\\.){3}(25[0-5]|2[0-4][0-9]|[01]?[0-9]?[0-9])))(%[\\p{N}\\p{L}]+)?" }, ), ], is_leaf=True, yang_name="destination-address", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="inet:ip-address", is_config=False, ) self.__tunnel_id = YANGDynClass( base=RestrictedClassType( base_type=int, restriction_dict={"range": ["0..65535"]}, int_size=16 ), is_leaf=True, yang_name="tunnel-id", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="uint16", is_config=False, ) self.__lsp_id = YANGDynClass( base=RestrictedClassType( base_type=int, restriction_dict={"range": ["0..65535"]}, int_size=16 ), is_leaf=True, yang_name="lsp-id", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="uint16", is_config=False, ) self.__session_name = YANGDynClass( base=six.text_type, is_leaf=True, yang_name="session-name", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="string", is_config=False, ) self.__status = YANGDynClass( base=RestrictedClassType( base_type=six.text_type, restriction_type="dict_key", restriction_arg={"UP": {}, "DOWN": {}}, ), is_leaf=True, yang_name="status", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="enumeration", is_config=False, ) self.__type = YANGDynClass( base=RestrictedClassType( base_type=six.text_type, restriction_type="dict_key", restriction_arg={ "INGRESS": { "@module": "openconfig-mpls-types", "@namespace": "http://openconfig.net/yang/mpls-types", }, "oc-mpls-types:INGRESS": { "@module": "openconfig-mpls-types", "@namespace": "http://openconfig.net/yang/mpls-types", }, "oc-mplst:INGRESS": { "@module": "openconfig-mpls-types", "@namespace": "http://openconfig.net/yang/mpls-types", }, "oc-mpls-t:INGRESS": { "@module": "openconfig-mpls-types", "@namespace": "http://openconfig.net/yang/mpls-types", }, "EGRESS": { "@module": "openconfig-mpls-types", "@namespace": "http://openconfig.net/yang/mpls-types", }, "oc-mpls-types:EGRESS": { "@module": "openconfig-mpls-types", "@namespace": "http://openconfig.net/yang/mpls-types", }, "oc-mplst:EGRESS": { "@module": "openconfig-mpls-types", "@namespace": "http://openconfig.net/yang/mpls-types", }, "oc-mpls-t:EGRESS": { "@module": "openconfig-mpls-types", "@namespace": "http://openconfig.net/yang/mpls-types", }, "TRANSIT": { "@module": "openconfig-mpls-types", "@namespace": "http://openconfig.net/yang/mpls-types", }, "oc-mpls-types:TRANSIT": { "@module": "openconfig-mpls-types", "@namespace": "http://openconfig.net/yang/mpls-types", }, "oc-mplst:TRANSIT": { "@module": "openconfig-mpls-types", "@namespace": "http://openconfig.net/yang/mpls-types", }, "oc-mpls-t:TRANSIT": { "@module": "openconfig-mpls-types", "@namespace": "http://openconfig.net/yang/mpls-types", }, }, ), is_leaf=True, yang_name="type", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="identityref", is_config=False, ) self.__protection_requested = YANGDynClass( base=RestrictedClassType( base_type=six.text_type, restriction_type="dict_key", restriction_arg={ "UNPROTECTED": { "@module": "openconfig-mpls-types", "@namespace": "http://openconfig.net/yang/mpls-types", }, "oc-mpls-types:UNPROTECTED": { "@module": "openconfig-mpls-types", "@namespace": "http://openconfig.net/yang/mpls-types", }, "oc-mplst:UNPROTECTED": { "@module": "openconfig-mpls-types", "@namespace": "http://openconfig.net/yang/mpls-types", }, "oc-mpls-t:UNPROTECTED": { "@module": "openconfig-mpls-types", "@namespace": "http://openconfig.net/yang/mpls-types", }, "LINK_PROTECTION_REQUIRED": { "@module": "openconfig-mpls-types", "@namespace": "http://openconfig.net/yang/mpls-types", }, "oc-mpls-types:LINK_PROTECTION_REQUIRED": { "@module": "openconfig-mpls-types", "@namespace": "http://openconfig.net/yang/mpls-types", }, "oc-mplst:LINK_PROTECTION_REQUIRED": { "@module": "openconfig-mpls-types", "@namespace": "http://openconfig.net/yang/mpls-types", }, "oc-mpls-t:LINK_PROTECTION_REQUIRED": { "@module": "openconfig-mpls-types", "@namespace": "http://openconfig.net/yang/mpls-types", }, "LINK_NODE_PROTECTION_REQUESTED": { "@module": "openconfig-mpls-types", "@namespace": "http://openconfig.net/yang/mpls-types", }, "oc-mpls-types:LINK_NODE_PROTECTION_REQUESTED": { "@module": "openconfig-mpls-types", "@namespace": "http://openconfig.net/yang/mpls-types", }, "oc-mplst:LINK_NODE_PROTECTION_REQUESTED": { "@module": "openconfig-mpls-types", "@namespace": "http://openconfig.net/yang/mpls-types", }, "oc-mpls-t:LINK_NODE_PROTECTION_REQUESTED": { "@module": "openconfig-mpls-types", "@namespace": "http://openconfig.net/yang/mpls-types", }, }, ), is_leaf=True, yang_name="protection-requested", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="identityref", is_config=False, ) self.__label_in = YANGDynClass( base=[ RestrictedClassType( base_type=RestrictedClassType( base_type=long, restriction_dict={"range": ["0..4294967295"]}, int_size=32, ), restriction_dict={"range": ["16..1048575"]}, ), RestrictedClassType( base_type=six.text_type, restriction_type="dict_key", restriction_arg={ "IPV4_EXPLICIT_NULL": {"value": 0}, "ROUTER_ALERT": {"value": 1}, "IPV6_EXPLICIT_NULL": {"value": 2}, "IMPLICIT_NULL": {"value": 3}, "ENTROPY_LABEL_INDICATOR": {"value": 7}, "NO_LABEL": {}, }, ), ], is_leaf=True, yang_name="label-in", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="oc-mplst:mpls-label", is_config=False, ) self.__label_out = YANGDynClass( base=[ RestrictedClassType( base_type=RestrictedClassType( base_type=long, restriction_dict={"range": ["0..4294967295"]}, int_size=32, ), restriction_dict={"range": ["16..1048575"]}, ), RestrictedClassType( base_type=six.text_type, restriction_type="dict_key", restriction_arg={ "IPV4_EXPLICIT_NULL": {"value": 0}, "ROUTER_ALERT": {"value": 1}, "IPV6_EXPLICIT_NULL": {"value": 2}, "IMPLICIT_NULL": {"value": 3}, "ENTROPY_LABEL_INDICATOR": {"value": 7}, "NO_LABEL": {}, }, ), ], is_leaf=True, yang_name="label-out", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="oc-mplst:mpls-label", is_config=False, ) self.__sender_tspec = YANGDynClass( base=sender_tspec.sender_tspec, is_container="container", yang_name="sender-tspec", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions=None, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="container", is_config=False, ) load = kwargs.pop("load", None) if args: if len(args) > 1: raise TypeError("cannot create a YANG container with >1 argument") all_attr = True for e in self._pyangbind_elements: if not hasattr(args[0], e): all_attr = False break if not all_attr: raise ValueError("Supplied object did not have the correct attributes") for e in self._pyangbind_elements: nobj = getattr(args[0], e) if nobj._changed() is False: continue setmethod = getattr(self, "_set_%s" % e) if load is None: setmethod(getattr(args[0], e)) else: setmethod(getattr(args[0], e), load=load) def _path(self): if hasattr(self, "_parent"): return self._parent._path() + [self._yang_name] else: return [ "network-instances", "network-instance", "mpls", "signaling-protocols", "rsvp-te", "sessions", "session", "state", ] def _get_local_index(self): """ Getter method for local_index, mapped from YANG variable /network_instances/network_instance/mpls/signaling_protocols/rsvp_te/sessions/session/state/local_index (uint64) YANG Description: The index used to identify the RSVP session on the local network element. This index is generated by the device and is unique only to the local network element. """ return self.__local_index def _set_local_index(self, v, load=False): """ Setter method for local_index, mapped from YANG variable /network_instances/network_instance/mpls/signaling_protocols/rsvp_te/sessions/session/state/local_index (uint64) If this variable is read-only (config: false) in the source YANG file, then _set_local_index is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_local_index() directly. YANG Description: The index used to identify the RSVP session on the local network element. This index is generated by the device and is unique only to the local network element. """ if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass( v, base=RestrictedClassType( base_type=long, restriction_dict={"range": ["0..18446744073709551615"]}, int_size=64, ), is_leaf=True, yang_name="local-index", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="uint64", is_config=False, ) except (TypeError, ValueError): raise ValueError( { "error-string": """local_index must be of a type compatible with uint64""", "defined-type": "uint64", "generated-type": """YANGDynClass(base=RestrictedClassType(base_type=long, restriction_dict={'range': ['0..18446744073709551615']}, int_size=64), is_leaf=True, yang_name="local-index", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='http://openconfig.net/yang/network-instance', defining_module='openconfig-network-instance', yang_type='uint64', is_config=False)""", } ) self.__local_index = t if hasattr(self, "_set"): self._set() def _unset_local_index(self): self.__local_index = YANGDynClass( base=RestrictedClassType( base_type=long, restriction_dict={"range": ["0..18446744073709551615"]}, int_size=64, ), is_leaf=True, yang_name="local-index", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="uint64", is_config=False, ) def _get_source_address(self): """ Getter method for source_address, mapped from YANG variable /network_instances/network_instance/mpls/signaling_protocols/rsvp_te/sessions/session/state/source_address (inet:ip-address) YANG Description: Origin address of RSVP session """ return self.__source_address def _set_source_address(self, v, load=False): """ Setter method for source_address, mapped from YANG variable /network_instances/network_instance/mpls/signaling_protocols/rsvp_te/sessions/session/state/source_address (inet:ip-address) If this variable is read-only (config: false) in the source YANG file, then _set_source_address is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_source_address() directly. YANG Description: Origin address of RSVP session """ if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass( v, base=[ RestrictedClassType( base_type=six.text_type, restriction_dict={ "pattern": "(([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])\\.){3}([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])(%[\\p{N}\\p{L}]+)?" }, ), RestrictedClassType( base_type=six.text_type, restriction_dict={ "pattern": "((:|[0-9a-fA-F]{0,4}):)([0-9a-fA-F]{0,4}:){0,5}((([0-9a-fA-F]{0,4}:)?(:|[0-9a-fA-F]{0,4}))|(((25[0-5]|2[0-4][0-9]|[01]?[0-9]?[0-9])\\.){3}(25[0-5]|2[0-4][0-9]|[01]?[0-9]?[0-9])))(%[\\p{N}\\p{L}]+)?" }, ), ], is_leaf=True, yang_name="source-address", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="inet:ip-address", is_config=False, ) except (TypeError, ValueError): raise ValueError( { "error-string": """source_address must be of a type compatible with inet:ip-address""", "defined-type": "inet:ip-address", "generated-type": """YANGDynClass(base=[RestrictedClassType(base_type=six.text_type, restriction_dict={'pattern': '(([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])\\.){3}([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])(%[\\p{N}\\p{L}]+)?'}),RestrictedClassType(base_type=six.text_type, restriction_dict={'pattern': '((:|[0-9a-fA-F]{0,4}):)([0-9a-fA-F]{0,4}:){0,5}((([0-9a-fA-F]{0,4}:)?(:|[0-9a-fA-F]{0,4}))|(((25[0-5]|2[0-4][0-9]|[01]?[0-9]?[0-9])\\.){3}(25[0-5]|2[0-4][0-9]|[01]?[0-9]?[0-9])))(%[\\p{N}\\p{L}]+)?'}),], is_leaf=True, yang_name="source-address", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='http://openconfig.net/yang/network-instance', defining_module='openconfig-network-instance', yang_type='inet:ip-address', is_config=False)""", } ) self.__source_address = t if hasattr(self, "_set"): self._set() def _unset_source_address(self): self.__source_address = YANGDynClass( base=[ RestrictedClassType( base_type=six.text_type, restriction_dict={ "pattern": "(([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])\\.){3}([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])(%[\\p{N}\\p{L}]+)?" }, ), RestrictedClassType( base_type=six.text_type, restriction_dict={ "pattern": "((:|[0-9a-fA-F]{0,4}):)([0-9a-fA-F]{0,4}:){0,5}((([0-9a-fA-F]{0,4}:)?(:|[0-9a-fA-F]{0,4}))|(((25[0-5]|2[0-4][0-9]|[01]?[0-9]?[0-9])\\.){3}(25[0-5]|2[0-4][0-9]|[01]?[0-9]?[0-9])))(%[\\p{N}\\p{L}]+)?" }, ), ], is_leaf=True, yang_name="source-address", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="inet:ip-address", is_config=False, ) def _get_destination_address(self): """ Getter method for destination_address, mapped from YANG variable /network_instances/network_instance/mpls/signaling_protocols/rsvp_te/sessions/session/state/destination_address (inet:ip-address) YANG Description: Destination address of RSVP session """ return self.__destination_address def _set_destination_address(self, v, load=False): """ Setter method for destination_address, mapped from YANG variable /network_instances/network_instance/mpls/signaling_protocols/rsvp_te/sessions/session/state/destination_address (inet:ip-address) If this variable is read-only (config: false) in the source YANG file, then _set_destination_address is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_destination_address() directly. YANG Description: Destination address of RSVP session """ if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass( v, base=[ RestrictedClassType( base_type=six.text_type, restriction_dict={ "pattern": "(([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])\\.){3}([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])(%[\\p{N}\\p{L}]+)?" }, ), RestrictedClassType( base_type=six.text_type, restriction_dict={ "pattern": "((:|[0-9a-fA-F]{0,4}):)([0-9a-fA-F]{0,4}:){0,5}((([0-9a-fA-F]{0,4}:)?(:|[0-9a-fA-F]{0,4}))|(((25[0-5]|2[0-4][0-9]|[01]?[0-9]?[0-9])\\.){3}(25[0-5]|2[0-4][0-9]|[01]?[0-9]?[0-9])))(%[\\p{N}\\p{L}]+)?" }, ), ], is_leaf=True, yang_name="destination-address", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="inet:ip-address", is_config=False, ) except (TypeError, ValueError): raise ValueError( { "error-string": """destination_address must be of a type compatible with inet:ip-address""", "defined-type": "inet:ip-address", "generated-type": """YANGDynClass(base=[RestrictedClassType(base_type=six.text_type, restriction_dict={'pattern': '(([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])\\.){3}([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])(%[\\p{N}\\p{L}]+)?'}),RestrictedClassType(base_type=six.text_type, restriction_dict={'pattern': '((:|[0-9a-fA-F]{0,4}):)([0-9a-fA-F]{0,4}:){0,5}((([0-9a-fA-F]{0,4}:)?(:|[0-9a-fA-F]{0,4}))|(((25[0-5]|2[0-4][0-9]|[01]?[0-9]?[0-9])\\.){3}(25[0-5]|2[0-4][0-9]|[01]?[0-9]?[0-9])))(%[\\p{N}\\p{L}]+)?'}),], is_leaf=True, yang_name="destination-address", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='http://openconfig.net/yang/network-instance', defining_module='openconfig-network-instance', yang_type='inet:ip-address', is_config=False)""", } ) self.__destination_address = t if hasattr(self, "_set"): self._set() def _unset_destination_address(self): self.__destination_address = YANGDynClass( base=[ RestrictedClassType( base_type=six.text_type, restriction_dict={ "pattern": "(([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])\\.){3}([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])(%[\\p{N}\\p{L}]+)?" }, ), RestrictedClassType( base_type=six.text_type, restriction_dict={ "pattern": "((:|[0-9a-fA-F]{0,4}):)([0-9a-fA-F]{0,4}:){0,5}((([0-9a-fA-F]{0,4}:)?(:|[0-9a-fA-F]{0,4}))|(((25[0-5]|2[0-4][0-9]|[01]?[0-9]?[0-9])\\.){3}(25[0-5]|2[0-4][0-9]|[01]?[0-9]?[0-9])))(%[\\p{N}\\p{L}]+)?" }, ), ], is_leaf=True, yang_name="destination-address", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="inet:ip-address", is_config=False, ) def _get_tunnel_id(self): """ Getter method for tunnel_id, mapped from YANG variable /network_instances/network_instance/mpls/signaling_protocols/rsvp_te/sessions/session/state/tunnel_id (uint16) YANG Description: The tunnel ID is an identifier used in the RSVP session, which remains constant over the life of the tunnel. """ return self.__tunnel_id def _set_tunnel_id(self, v, load=False): """ Setter method for tunnel_id, mapped from YANG variable /network_instances/network_instance/mpls/signaling_protocols/rsvp_te/sessions/session/state/tunnel_id (uint16) If this variable is read-only (config: false) in the source YANG file, then _set_tunnel_id is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_tunnel_id() directly. YANG Description: The tunnel ID is an identifier used in the RSVP session, which remains constant over the life of the tunnel. """ if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass( v, base=RestrictedClassType( base_type=int, restriction_dict={"range": ["0..65535"]}, int_size=16 ), is_leaf=True, yang_name="tunnel-id", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="uint16", is_config=False, ) except (TypeError, ValueError): raise ValueError( { "error-string": """tunnel_id must be of a type compatible with uint16""", "defined-type": "uint16", "generated-type": """YANGDynClass(base=RestrictedClassType(base_type=int, restriction_dict={'range': ['0..65535']},int_size=16), is_leaf=True, yang_name="tunnel-id", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='http://openconfig.net/yang/network-instance', defining_module='openconfig-network-instance', yang_type='uint16', is_config=False)""", } ) self.__tunnel_id = t if hasattr(self, "_set"): self._set() def _unset_tunnel_id(self): self.__tunnel_id = YANGDynClass( base=RestrictedClassType( base_type=int, restriction_dict={"range": ["0..65535"]}, int_size=16 ), is_leaf=True, yang_name="tunnel-id", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="uint16", is_config=False, ) def _get_lsp_id(self): """ Getter method for lsp_id, mapped from YANG variable /network_instances/network_instance/mpls/signaling_protocols/rsvp_te/sessions/session/state/lsp_id (uint16) YANG Description: The LSP ID distinguishes between two LSPs originated from the same headend, and is commonly used to distinguish RSVP sessions during make before break operations. """ return self.__lsp_id def _set_lsp_id(self, v, load=False): """ Setter method for lsp_id, mapped from YANG variable /network_instances/network_instance/mpls/signaling_protocols/rsvp_te/sessions/session/state/lsp_id (uint16) If this variable is read-only (config: false) in the source YANG file, then _set_lsp_id is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_lsp_id() directly. YANG Description: The LSP ID distinguishes between two LSPs originated from the same headend, and is commonly used to distinguish RSVP sessions during make before break operations. """ if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass( v, base=RestrictedClassType( base_type=int, restriction_dict={"range": ["0..65535"]}, int_size=16 ), is_leaf=True, yang_name="lsp-id", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="uint16", is_config=False, ) except (TypeError, ValueError): raise ValueError( { "error-string": """lsp_id must be of a type compatible with uint16""", "defined-type": "uint16", "generated-type": """YANGDynClass(base=RestrictedClassType(base_type=int, restriction_dict={'range': ['0..65535']},int_size=16), is_leaf=True, yang_name="lsp-id", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='http://openconfig.net/yang/network-instance', defining_module='openconfig-network-instance', yang_type='uint16', is_config=False)""", } ) self.__lsp_id = t if hasattr(self, "_set"): self._set() def _unset_lsp_id(self): self.__lsp_id = YANGDynClass( base=RestrictedClassType( base_type=int, restriction_dict={"range": ["0..65535"]}, int_size=16 ), is_leaf=True, yang_name="lsp-id", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="uint16", is_config=False, ) def _get_session_name(self): """ Getter method for session_name, mapped from YANG variable /network_instances/network_instance/mpls/signaling_protocols/rsvp_te/sessions/session/state/session_name (string) YANG Description: The signaled name of this RSVP session. """ return self.__session_name def _set_session_name(self, v, load=False): """ Setter method for session_name, mapped from YANG variable /network_instances/network_instance/mpls/signaling_protocols/rsvp_te/sessions/session/state/session_name (string) If this variable is read-only (config: false) in the source YANG file, then _set_session_name is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_session_name() directly. YANG Description: The signaled name of this RSVP session. """ if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass( v, base=six.text_type, is_leaf=True, yang_name="session-name", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="string", is_config=False, ) except (TypeError, ValueError): raise ValueError( { "error-string": """session_name must be of a type compatible with string""", "defined-type": "string", "generated-type": """YANGDynClass(base=six.text_type, is_leaf=True, yang_name="session-name", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='http://openconfig.net/yang/network-instance', defining_module='openconfig-network-instance', yang_type='string', is_config=False)""", } ) self.__session_name = t if hasattr(self, "_set"): self._set() def _unset_session_name(self): self.__session_name = YANGDynClass( base=six.text_type, is_leaf=True, yang_name="session-name", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="string", is_config=False, ) def _get_status(self): """ Getter method for status, mapped from YANG variable /network_instances/network_instance/mpls/signaling_protocols/rsvp_te/sessions/session/state/status (enumeration) YANG Description: Enumeration of RSVP session states """ return self.__status def _set_status(self, v, load=False): """ Setter method for status, mapped from YANG variable /network_instances/network_instance/mpls/signaling_protocols/rsvp_te/sessions/session/state/status (enumeration) If this variable is read-only (config: false) in the source YANG file, then _set_status is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_status() directly. YANG Description: Enumeration of RSVP session states """ if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass( v, base=RestrictedClassType( base_type=six.text_type, restriction_type="dict_key", restriction_arg={"UP": {}, "DOWN": {}}, ), is_leaf=True, yang_name="status", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="enumeration", is_config=False, ) except (TypeError, ValueError): raise ValueError( { "error-string": """status must be of a type compatible with enumeration""", "defined-type": "openconfig-network-instance:enumeration", "generated-type": """YANGDynClass(base=RestrictedClassType(base_type=six.text_type, restriction_type="dict_key", restriction_arg={'UP': {}, 'DOWN': {}},), is_leaf=True, yang_name="status", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='http://openconfig.net/yang/network-instance', defining_module='openconfig-network-instance', yang_type='enumeration', is_config=False)""", } ) self.__status = t if hasattr(self, "_set"): self._set() def _unset_status(self): self.__status = YANGDynClass( base=RestrictedClassType( base_type=six.text_type, restriction_type="dict_key", restriction_arg={"UP": {}, "DOWN": {}}, ), is_leaf=True, yang_name="status", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="enumeration", is_config=False, ) def _get_type(self): """ Getter method for type, mapped from YANG variable /network_instances/network_instance/mpls/signaling_protocols/rsvp_te/sessions/session/state/type (identityref) YANG Description: The type/role of the RSVP session, signifing the session's role on the current device, such as a transit session vs. an ingress session. """ return self.__type def _set_type(self, v, load=False): """ Setter method for type, mapped from YANG variable /network_instances/network_instance/mpls/signaling_protocols/rsvp_te/sessions/session/state/type (identityref) If this variable is read-only (config: false) in the source YANG file, then _set_type is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_type() directly. YANG Description: The type/role of the RSVP session, signifing the session's role on the current device, such as a transit session vs. an ingress session. """ if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass( v, base=RestrictedClassType( base_type=six.text_type, restriction_type="dict_key", restriction_arg={ "INGRESS": { "@module": "openconfig-mpls-types", "@namespace": "http://openconfig.net/yang/mpls-types", }, "oc-mpls-types:INGRESS": { "@module": "openconfig-mpls-types", "@namespace": "http://openconfig.net/yang/mpls-types", }, "oc-mplst:INGRESS": { "@module": "openconfig-mpls-types", "@namespace": "http://openconfig.net/yang/mpls-types", }, "oc-mpls-t:INGRESS": { "@module": "openconfig-mpls-types", "@namespace": "http://openconfig.net/yang/mpls-types", }, "EGRESS": { "@module": "openconfig-mpls-types", "@namespace": "http://openconfig.net/yang/mpls-types", }, "oc-mpls-types:EGRESS": { "@module": "openconfig-mpls-types", "@namespace": "http://openconfig.net/yang/mpls-types", }, "oc-mplst:EGRESS": { "@module": "openconfig-mpls-types", "@namespace": "http://openconfig.net/yang/mpls-types", }, "oc-mpls-t:EGRESS": { "@module": "openconfig-mpls-types", "@namespace": "http://openconfig.net/yang/mpls-types", }, "TRANSIT": { "@module": "openconfig-mpls-types", "@namespace": "http://openconfig.net/yang/mpls-types", }, "oc-mpls-types:TRANSIT": { "@module": "openconfig-mpls-types", "@namespace": "http://openconfig.net/yang/mpls-types", }, "oc-mplst:TRANSIT": { "@module": "openconfig-mpls-types", "@namespace": "http://openconfig.net/yang/mpls-types", }, "oc-mpls-t:TRANSIT": { "@module": "openconfig-mpls-types", "@namespace": "http://openconfig.net/yang/mpls-types", }, }, ), is_leaf=True, yang_name="type", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="identityref", is_config=False, ) except (TypeError, ValueError): raise ValueError( { "error-string": """type must be of a type compatible with identityref""", "defined-type": "openconfig-network-instance:identityref", "generated-type": """YANGDynClass(base=RestrictedClassType(base_type=six.text_type, restriction_type="dict_key", restriction_arg={'INGRESS': {'@module': 'openconfig-mpls-types', '@namespace': 'http://openconfig.net/yang/mpls-types'}, 'oc-mpls-types:INGRESS': {'@module': 'openconfig-mpls-types', '@namespace': 'http://openconfig.net/yang/mpls-types'}, 'oc-mplst:INGRESS': {'@module': 'openconfig-mpls-types', '@namespace': 'http://openconfig.net/yang/mpls-types'}, 'oc-mpls-t:INGRESS': {'@module': 'openconfig-mpls-types', '@namespace': 'http://openconfig.net/yang/mpls-types'}, 'EGRESS': {'@module': 'openconfig-mpls-types', '@namespace': 'http://openconfig.net/yang/mpls-types'}, 'oc-mpls-types:EGRESS': {'@module': 'openconfig-mpls-types', '@namespace': 'http://openconfig.net/yang/mpls-types'}, 'oc-mplst:EGRESS': {'@module': 'openconfig-mpls-types', '@namespace': 'http://openconfig.net/yang/mpls-types'}, 'oc-mpls-t:EGRESS': {'@module': 'openconfig-mpls-types', '@namespace': 'http://openconfig.net/yang/mpls-types'}, 'TRANSIT': {'@module': 'openconfig-mpls-types', '@namespace': 'http://openconfig.net/yang/mpls-types'}, 'oc-mpls-types:TRANSIT': {'@module': 'openconfig-mpls-types', '@namespace': 'http://openconfig.net/yang/mpls-types'}, 'oc-mplst:TRANSIT': {'@module': 'openconfig-mpls-types', '@namespace': 'http://openconfig.net/yang/mpls-types'}, 'oc-mpls-t:TRANSIT': {'@module': 'openconfig-mpls-types', '@namespace': 'http://openconfig.net/yang/mpls-types'}},), is_leaf=True, yang_name="type", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='http://openconfig.net/yang/network-instance', defining_module='openconfig-network-instance', yang_type='identityref', is_config=False)""", } ) self.__type = t if hasattr(self, "_set"): self._set() def _unset_type(self): self.__type = YANGDynClass( base=RestrictedClassType( base_type=six.text_type, restriction_type="dict_key", restriction_arg={ "INGRESS": { "@module": "openconfig-mpls-types", "@namespace": "http://openconfig.net/yang/mpls-types", }, "oc-mpls-types:INGRESS": { "@module": "openconfig-mpls-types", "@namespace": "http://openconfig.net/yang/mpls-types", }, "oc-mplst:INGRESS": { "@module": "openconfig-mpls-types", "@namespace": "http://openconfig.net/yang/mpls-types", }, "oc-mpls-t:INGRESS": { "@module": "openconfig-mpls-types", "@namespace": "http://openconfig.net/yang/mpls-types", }, "EGRESS": { "@module": "openconfig-mpls-types", "@namespace": "http://openconfig.net/yang/mpls-types", }, "oc-mpls-types:EGRESS": { "@module": "openconfig-mpls-types", "@namespace": "http://openconfig.net/yang/mpls-types", }, "oc-mplst:EGRESS": { "@module": "openconfig-mpls-types", "@namespace": "http://openconfig.net/yang/mpls-types", }, "oc-mpls-t:EGRESS": { "@module": "openconfig-mpls-types", "@namespace": "http://openconfig.net/yang/mpls-types", }, "TRANSIT": { "@module": "openconfig-mpls-types", "@namespace": "http://openconfig.net/yang/mpls-types", }, "oc-mpls-types:TRANSIT": { "@module": "openconfig-mpls-types", "@namespace": "http://openconfig.net/yang/mpls-types", }, "oc-mplst:TRANSIT": { "@module": "openconfig-mpls-types", "@namespace": "http://openconfig.net/yang/mpls-types", }, "oc-mpls-t:TRANSIT": { "@module": "openconfig-mpls-types", "@namespace": "http://openconfig.net/yang/mpls-types", }, }, ), is_leaf=True, yang_name="type", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="identityref", is_config=False, ) def _get_protection_requested(self): """ Getter method for protection_requested, mapped from YANG variable /network_instances/network_instance/mpls/signaling_protocols/rsvp_te/sessions/session/state/protection_requested (identityref) YANG Description: The type of protection requested for the RSVP session """ return self.__protection_requested def _set_protection_requested(self, v, load=False): """ Setter method for protection_requested, mapped from YANG variable /network_instances/network_instance/mpls/signaling_protocols/rsvp_te/sessions/session/state/protection_requested (identityref) If this variable is read-only (config: false) in the source YANG file, then _set_protection_requested is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_protection_requested() directly. YANG Description: The type of protection requested for the RSVP session """ if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass( v, base=RestrictedClassType( base_type=six.text_type, restriction_type="dict_key", restriction_arg={ "UNPROTECTED": { "@module": "openconfig-mpls-types", "@namespace": "http://openconfig.net/yang/mpls-types", }, "oc-mpls-types:UNPROTECTED": { "@module": "openconfig-mpls-types", "@namespace": "http://openconfig.net/yang/mpls-types", }, "oc-mplst:UNPROTECTED": { "@module": "openconfig-mpls-types", "@namespace": "http://openconfig.net/yang/mpls-types", }, "oc-mpls-t:UNPROTECTED": { "@module": "openconfig-mpls-types", "@namespace": "http://openconfig.net/yang/mpls-types", }, "LINK_PROTECTION_REQUIRED": { "@module": "openconfig-mpls-types", "@namespace": "http://openconfig.net/yang/mpls-types", }, "oc-mpls-types:LINK_PROTECTION_REQUIRED": { "@module": "openconfig-mpls-types", "@namespace": "http://openconfig.net/yang/mpls-types", }, "oc-mplst:LINK_PROTECTION_REQUIRED": { "@module": "openconfig-mpls-types", "@namespace": "http://openconfig.net/yang/mpls-types", }, "oc-mpls-t:LINK_PROTECTION_REQUIRED": { "@module": "openconfig-mpls-types", "@namespace": "http://openconfig.net/yang/mpls-types", }, "LINK_NODE_PROTECTION_REQUESTED": { "@module": "openconfig-mpls-types", "@namespace": "http://openconfig.net/yang/mpls-types", }, "oc-mpls-types:LINK_NODE_PROTECTION_REQUESTED": { "@module": "openconfig-mpls-types", "@namespace": "http://openconfig.net/yang/mpls-types", }, "oc-mplst:LINK_NODE_PROTECTION_REQUESTED": { "@module": "openconfig-mpls-types", "@namespace": "http://openconfig.net/yang/mpls-types", }, "oc-mpls-t:LINK_NODE_PROTECTION_REQUESTED": { "@module": "openconfig-mpls-types", "@namespace": "http://openconfig.net/yang/mpls-types", }, }, ), is_leaf=True, yang_name="protection-requested", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="identityref", is_config=False, ) except (TypeError, ValueError): raise ValueError( { "error-string": """protection_requested must be of a type compatible with identityref""", "defined-type": "openconfig-network-instance:identityref", "generated-type": """YANGDynClass(base=RestrictedClassType(base_type=six.text_type, restriction_type="dict_key", restriction_arg={'UNPROTECTED': {'@module': 'openconfig-mpls-types', '@namespace': 'http://openconfig.net/yang/mpls-types'}, 'oc-mpls-types:UNPROTECTED': {'@module': 'openconfig-mpls-types', '@namespace': 'http://openconfig.net/yang/mpls-types'}, 'oc-mplst:UNPROTECTED': {'@module': 'openconfig-mpls-types', '@namespace': 'http://openconfig.net/yang/mpls-types'}, 'oc-mpls-t:UNPROTECTED': {'@module': 'openconfig-mpls-types', '@namespace': 'http://openconfig.net/yang/mpls-types'}, 'LINK_PROTECTION_REQUIRED': {'@module': 'openconfig-mpls-types', '@namespace': 'http://openconfig.net/yang/mpls-types'}, 'oc-mpls-types:LINK_PROTECTION_REQUIRED': {'@module': 'openconfig-mpls-types', '@namespace': 'http://openconfig.net/yang/mpls-types'}, 'oc-mplst:LINK_PROTECTION_REQUIRED': {'@module': 'openconfig-mpls-types', '@namespace': 'http://openconfig.net/yang/mpls-types'}, 'oc-mpls-t:LINK_PROTECTION_REQUIRED': {'@module': 'openconfig-mpls-types', '@namespace': 'http://openconfig.net/yang/mpls-types'}, 'LINK_NODE_PROTECTION_REQUESTED': {'@module': 'openconfig-mpls-types', '@namespace': 'http://openconfig.net/yang/mpls-types'}, 'oc-mpls-types:LINK_NODE_PROTECTION_REQUESTED': {'@module': 'openconfig-mpls-types', '@namespace': 'http://openconfig.net/yang/mpls-types'}, 'oc-mplst:LINK_NODE_PROTECTION_REQUESTED': {'@module': 'openconfig-mpls-types', '@namespace': 'http://openconfig.net/yang/mpls-types'}, 'oc-mpls-t:LINK_NODE_PROTECTION_REQUESTED': {'@module': 'openconfig-mpls-types', '@namespace': 'http://openconfig.net/yang/mpls-types'}},), is_leaf=True, yang_name="protection-requested", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='http://openconfig.net/yang/network-instance', defining_module='openconfig-network-instance', yang_type='identityref', is_config=False)""", } ) self.__protection_requested = t if hasattr(self, "_set"): self._set() def _unset_protection_requested(self): self.__protection_requested = YANGDynClass( base=RestrictedClassType( base_type=six.text_type, restriction_type="dict_key", restriction_arg={ "UNPROTECTED": { "@module": "openconfig-mpls-types", "@namespace": "http://openconfig.net/yang/mpls-types", }, "oc-mpls-types:UNPROTECTED": { "@module": "openconfig-mpls-types", "@namespace": "http://openconfig.net/yang/mpls-types", }, "oc-mplst:UNPROTECTED": { "@module": "openconfig-mpls-types", "@namespace": "http://openconfig.net/yang/mpls-types", }, "oc-mpls-t:UNPROTECTED": { "@module": "openconfig-mpls-types", "@namespace": "http://openconfig.net/yang/mpls-types", }, "LINK_PROTECTION_REQUIRED": { "@module": "openconfig-mpls-types", "@namespace": "http://openconfig.net/yang/mpls-types", }, "oc-mpls-types:LINK_PROTECTION_REQUIRED": { "@module": "openconfig-mpls-types", "@namespace": "http://openconfig.net/yang/mpls-types", }, "oc-mplst:LINK_PROTECTION_REQUIRED": { "@module": "openconfig-mpls-types", "@namespace": "http://openconfig.net/yang/mpls-types", }, "oc-mpls-t:LINK_PROTECTION_REQUIRED": { "@module": "openconfig-mpls-types", "@namespace": "http://openconfig.net/yang/mpls-types", }, "LINK_NODE_PROTECTION_REQUESTED": { "@module": "openconfig-mpls-types", "@namespace": "http://openconfig.net/yang/mpls-types", }, "oc-mpls-types:LINK_NODE_PROTECTION_REQUESTED": { "@module": "openconfig-mpls-types", "@namespace": "http://openconfig.net/yang/mpls-types", }, "oc-mplst:LINK_NODE_PROTECTION_REQUESTED": { "@module": "openconfig-mpls-types", "@namespace": "http://openconfig.net/yang/mpls-types", }, "oc-mpls-t:LINK_NODE_PROTECTION_REQUESTED": { "@module": "openconfig-mpls-types", "@namespace": "http://openconfig.net/yang/mpls-types", }, }, ), is_leaf=True, yang_name="protection-requested", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="identityref", is_config=False, ) def _get_label_in(self): """ Getter method for label_in, mapped from YANG variable /network_instances/network_instance/mpls/signaling_protocols/rsvp_te/sessions/session/state/label_in (oc-mplst:mpls-label) YANG Description: Incoming MPLS label associated with this RSVP session """ return self.__label_in def _set_label_in(self, v, load=False): """ Setter method for label_in, mapped from YANG variable /network_instances/network_instance/mpls/signaling_protocols/rsvp_te/sessions/session/state/label_in (oc-mplst:mpls-label) If this variable is read-only (config: false) in the source YANG file, then _set_label_in is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_label_in() directly. YANG Description: Incoming MPLS label associated with this RSVP session """ if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass( v, base=[ RestrictedClassType( base_type=RestrictedClassType( base_type=long, restriction_dict={"range": ["0..4294967295"]}, int_size=32, ), restriction_dict={"range": ["16..1048575"]}, ), RestrictedClassType( base_type=six.text_type, restriction_type="dict_key", restriction_arg={ "IPV4_EXPLICIT_NULL": {"value": 0}, "ROUTER_ALERT": {"value": 1}, "IPV6_EXPLICIT_NULL": {"value": 2}, "IMPLICIT_NULL": {"value": 3}, "ENTROPY_LABEL_INDICATOR": {"value": 7}, "NO_LABEL": {}, }, ), ], is_leaf=True, yang_name="label-in", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="oc-mplst:mpls-label", is_config=False, ) except (TypeError, ValueError): raise ValueError( { "error-string": """label_in must be of a type compatible with oc-mplst:mpls-label""", "defined-type": "oc-mplst:mpls-label", "generated-type": """YANGDynClass(base=[RestrictedClassType(base_type=RestrictedClassType(base_type=long, restriction_dict={'range': ['0..4294967295']}, int_size=32), restriction_dict={'range': ['16..1048575']}),RestrictedClassType(base_type=six.text_type, restriction_type="dict_key", restriction_arg={'IPV4_EXPLICIT_NULL': {'value': 0}, 'ROUTER_ALERT': {'value': 1}, 'IPV6_EXPLICIT_NULL': {'value': 2}, 'IMPLICIT_NULL': {'value': 3}, 'ENTROPY_LABEL_INDICATOR': {'value': 7}, 'NO_LABEL': {}},),], is_leaf=True, yang_name="label-in", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='http://openconfig.net/yang/network-instance', defining_module='openconfig-network-instance', yang_type='oc-mplst:mpls-label', is_config=False)""", } ) self.__label_in = t if hasattr(self, "_set"): self._set() def _unset_label_in(self): self.__label_in = YANGDynClass( base=[ RestrictedClassType( base_type=RestrictedClassType( base_type=long, restriction_dict={"range": ["0..4294967295"]}, int_size=32, ), restriction_dict={"range": ["16..1048575"]}, ), RestrictedClassType( base_type=six.text_type, restriction_type="dict_key", restriction_arg={ "IPV4_EXPLICIT_NULL": {"value": 0}, "ROUTER_ALERT": {"value": 1}, "IPV6_EXPLICIT_NULL": {"value": 2}, "IMPLICIT_NULL": {"value": 3}, "ENTROPY_LABEL_INDICATOR": {"value": 7}, "NO_LABEL": {}, }, ), ], is_leaf=True, yang_name="label-in", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="oc-mplst:mpls-label", is_config=False, ) def _get_label_out(self): """ Getter method for label_out, mapped from YANG variable /network_instances/network_instance/mpls/signaling_protocols/rsvp_te/sessions/session/state/label_out (oc-mplst:mpls-label) YANG Description: Outgoing MPLS label associated with this RSVP session """ return self.__label_out def _set_label_out(self, v, load=False): """ Setter method for label_out, mapped from YANG variable /network_instances/network_instance/mpls/signaling_protocols/rsvp_te/sessions/session/state/label_out (oc-mplst:mpls-label) If this variable is read-only (config: false) in the source YANG file, then _set_label_out is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_label_out() directly. YANG Description: Outgoing MPLS label associated with this RSVP session """ if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass( v, base=[ RestrictedClassType( base_type=RestrictedClassType( base_type=long, restriction_dict={"range": ["0..4294967295"]}, int_size=32, ), restriction_dict={"range": ["16..1048575"]}, ), RestrictedClassType( base_type=six.text_type, restriction_type="dict_key", restriction_arg={ "IPV4_EXPLICIT_NULL": {"value": 0}, "ROUTER_ALERT": {"value": 1}, "IPV6_EXPLICIT_NULL": {"value": 2}, "IMPLICIT_NULL": {"value": 3}, "ENTROPY_LABEL_INDICATOR": {"value": 7}, "NO_LABEL": {}, }, ), ], is_leaf=True, yang_name="label-out", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="oc-mplst:mpls-label", is_config=False, ) except (TypeError, ValueError): raise ValueError( { "error-string": """label_out must be of a type compatible with oc-mplst:mpls-label""", "defined-type": "oc-mplst:mpls-label", "generated-type": """YANGDynClass(base=[RestrictedClassType(base_type=RestrictedClassType(base_type=long, restriction_dict={'range': ['0..4294967295']}, int_size=32), restriction_dict={'range': ['16..1048575']}),RestrictedClassType(base_type=six.text_type, restriction_type="dict_key", restriction_arg={'IPV4_EXPLICIT_NULL': {'value': 0}, 'ROUTER_ALERT': {'value': 1}, 'IPV6_EXPLICIT_NULL': {'value': 2}, 'IMPLICIT_NULL': {'value': 3}, 'ENTROPY_LABEL_INDICATOR': {'value': 7}, 'NO_LABEL': {}},),], is_leaf=True, yang_name="label-out", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='http://openconfig.net/yang/network-instance', defining_module='openconfig-network-instance', yang_type='oc-mplst:mpls-label', is_config=False)""", } ) self.__label_out = t if hasattr(self, "_set"): self._set() def _unset_label_out(self): self.__label_out = YANGDynClass( base=[ RestrictedClassType( base_type=RestrictedClassType( base_type=long, restriction_dict={"range": ["0..4294967295"]}, int_size=32, ), restriction_dict={"range": ["16..1048575"]}, ), RestrictedClassType( base_type=six.text_type, restriction_type="dict_key", restriction_arg={ "IPV4_EXPLICIT_NULL": {"value": 0}, "ROUTER_ALERT": {"value": 1}, "IPV6_EXPLICIT_NULL": {"value": 2}, "IMPLICIT_NULL": {"value": 3}, "ENTROPY_LABEL_INDICATOR": {"value": 7}, "NO_LABEL": {}, }, ), ], is_leaf=True, yang_name="label-out", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="oc-mplst:mpls-label", is_config=False, ) def _get_sender_tspec(self): """ Getter method for sender_tspec, mapped from YANG variable /network_instances/network_instance/mpls/signaling_protocols/rsvp_te/sessions/session/state/sender_tspec (container) YANG Description: Operational state statistics relating to the SENDER_TSPEC received for the RSVP session """ return self.__sender_tspec def _set_sender_tspec(self, v, load=False): """ Setter method for sender_tspec, mapped from YANG variable /network_instances/network_instance/mpls/signaling_protocols/rsvp_te/sessions/session/state/sender_tspec (container) If this variable is read-only (config: false) in the source YANG file, then _set_sender_tspec is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_sender_tspec() directly. YANG Description: Operational state statistics relating to the SENDER_TSPEC received for the RSVP session """ if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass( v, base=sender_tspec.sender_tspec, is_container="container", yang_name="sender-tspec", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions=None, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="container", is_config=False, ) except (TypeError, ValueError): raise ValueError( { "error-string": """sender_tspec must be of a type compatible with container""", "defined-type": "container", "generated-type": """YANGDynClass(base=sender_tspec.sender_tspec, is_container='container', yang_name="sender-tspec", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions=None, namespace='http://openconfig.net/yang/network-instance', defining_module='openconfig-network-instance', yang_type='container', is_config=False)""", } ) self.__sender_tspec = t if hasattr(self, "_set"): self._set() def _unset_sender_tspec(self): self.__sender_tspec = YANGDynClass( base=sender_tspec.sender_tspec, is_container="container", yang_name="sender-tspec", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions=None, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="container", is_config=False, ) local_index = __builtin__.property(_get_local_index) source_address = __builtin__.property(_get_source_address) destination_address = __builtin__.property(_get_destination_address) tunnel_id = __builtin__.property(_get_tunnel_id) lsp_id = __builtin__.property(_get_lsp_id) session_name = __builtin__.property(_get_session_name) status = __builtin__.property(_get_status) type = __builtin__.property(_get_type) protection_requested = __builtin__.property(_get_protection_requested) label_in = __builtin__.property(_get_label_in) label_out = __builtin__.property(_get_label_out) sender_tspec = __builtin__.property(_get_sender_tspec) _pyangbind_elements = OrderedDict( [ ("local_index", local_index), ("source_address", source_address), ("destination_address", destination_address), ("tunnel_id", tunnel_id), ("lsp_id", lsp_id), ("session_name", session_name), ("status", status), ("type", type), ("protection_requested", protection_requested), ("label_in", label_in), ("label_out", label_out), ("sender_tspec", sender_tspec), ] )

47.965902

1,967

0.529256

15,596

154,738

5.051295

0.018338

0.049353

0.084082

0.09505

0.99524

0.992485

0

0.022767

0.338611

154,738

3,225

1,968

47.980775

0.747005

0.129632

0

0.865285

0

0.017765

0.37032

0.164665

0

1

0.028127

false

0

0.006292

0

0.057365

0

null

0

1

0

1

0

1

0

null

0

8

1955fa715abbf32da4adf6ce2b88e21d45be9068

273

py

Python

_map.py

vhzkflrjf/pythonStudy

3653577ffbf82b2746721942619a9593ba98ccee

[ "MIT" ]

null

_map.py

vhzkflrjf/pythonStudy

3653577ffbf82b2746721942619a9593ba98ccee

[ "MIT" ]

null

_map.py

vhzkflrjf/pythonStudy

3653577ffbf82b2746721942619a9593ba98ccee

[ "MIT" ]

null

animals = ['사자', '코끼리', '기린', '원숭이', '바나나원숭이'] print(",".join(animals)) # >> 사자,코끼리,기린,원숭이,바나나원숭이 print("\n".join(animals)) # >> 사자 # >> 코끼리 # >> 기린 # >> 원숭이 # >> 바나나원숭이 print("/".join(animals)) # >> 사자/코끼리/기린/원숭이/바나나원숭이 a = list(map(str, range(10))) print(a) print(a)

14.368421

46

0.549451

41

273

3.658537

0.365854

0.24

0.32

0.373333

0.793333

0.733333

0

0.008621

0.150183

273

19

47

14.368421

0.637931

0.304029

0

0.285714

0

0.10929

0

1

0

false

0

0.714286

0

null

1

0

1

0

null

0

1

0

9

19a6a77d8ad569c9cd6a2057cf377d567d630cb1

1,250

py

Python

tests/zeus/api/resources/test_build_file_coverage.py

conrad-kronos/zeus

ddb6bc313e51fb22222b30822b82d76f37dbbd35

[ "Apache-2.0" ]

221

2017-07-03T17:29:21.000Z

2021-12-07T19:56:59.000Z

tests/zeus/api/resources/test_build_file_coverage.py

conrad-kronos/zeus

ddb6bc313e51fb22222b30822b82d76f37dbbd35

[ "Apache-2.0" ]

298

2017-07-04T18:08:14.000Z

2022-03-03T22:24:51.000Z

tests/zeus/api/resources/test_build_file_coverage.py

conrad-kronos/zeus

ddb6bc313e51fb22222b30822b82d76f37dbbd35

[ "Apache-2.0" ]

24

2017-07-15T13:46:45.000Z

2020-08-16T16:14:45.000Z

# flake8 is breaking with no empty lines up here NOQA def test_build_file_coverage_list( client, default_login, default_repo, default_build, default_filecoverage, default_repo_access, ): resp = client.get( "/api/repos/{}/builds/{}/file-coverage".format( default_repo.get_full_name(), default_build.number ) ) assert resp.status_code == 200 data = resp.json() assert len(data) == 1 assert data[0]["filename"] == str(default_filecoverage.filename) def test_build_file_coverage_list_filter_diff_only( client, default_login, default_repo, default_build, default_filecoverage, default_repo_access, ): resp = client.get( "/api/repos/{}/builds/{}/file-coverage?diff_only=true".format( default_repo.get_full_name(), default_build.number ) ) assert resp.status_code == 200 data = resp.json() assert len(data) == 0 resp = client.get( "/api/repos/{}/builds/{}/file-coverage?diff_only=false".format( default_repo.get_full_name(), default_build.number ) ) data = resp.json() assert len(data) == 1 assert data[0]["filename"] == str(default_filecoverage.filename)

26.041667

71

0.6472

153

1,250

5.019608

0.30719

0.10026

0.050781

0.0625

0.914063

0.841146

0.78125

0

0.012513

0.2328

1,250

47

72

26.595745

0.788321

0.0408

0

0.707317

0

0.131997

0.11863

0

0.170732

1

0.04878

false

0

0.04878

0

null

0

1

0

1

0

null

0

7

5feb928298c85291ccf22f491ae9e454e205101b

10,766

py

Python

af@url_fetcher.py

applefellow/URL_fetcher

d41682306575111cc705b43dac1e7ce9322ad74c

[ "MIT" ]

null

af@url_fetcher.py

applefellow/URL_fetcher

d41682306575111cc705b43dac1e7ce9322ad74c

[ "MIT" ]

null

af@url_fetcher.py

applefellow/URL_fetcher

d41682306575111cc705b43dac1e7ce9322ad74c

[ "MIT" ]

null

from fake_useragent import UserAgent from bs4 import BeautifulSoup import requests import re import tldextract import sys import os import threading import time urls = [] try: if sys.argv[1] == '-l': try: userlist = open(sys.argv[2], "r") except: print("[ERROR] file not found") try: for i in userlist: i = i.rstrip('\n"') url = ''.join(i.split('"')) ua = UserAgent() header = {'User-Agent': str(ua.random)} reqs = requests.get(url, headers=header) content = reqs.text soup = BeautifulSoup(content, 'html.parser') def li(): for h in soup.findAll('li'): a = h.find('a') try: if 'href' in a.attrs: url1 = a.get('href') if url.split('www')[2] not in url1: pass else: urls.append(url1) except: pass def meta(): for h in soup.findAll('link'): try: if 'href' in h.attrs: url1 = h.get('href') if str(url.split('www.')[1]) in url1: urls.append(url1) else: pass except: pass def p(): for h in soup.findAll('p'): a = h.find('a') try: if 'href' in a.attrs: url1 = a.get('href') if url.split('www')[1] not in url1: pass else: urls.append(url1) except: pass def a(): for h in soup.findAll('a'): try: if h is not None and 'href' in h.attrs: url1 = h.get('href') if url.split('www')[1] not in url1: pass else: urls.append(url1) except: pass def script(): for h in soup.findAll('script'): try: if 'src' in a.attrs: url1 = a.get('src') if url.split('www')[1] not in url1: pass else: urls.append(url1) except: pass def div(): for h in soup.findAll('div'): a = h.find('a') try: if 'href' in a.attrs: url1 = a.get('href') if url.split('www')[1] not in url1: pass else: urls.append(url1) except: pass final_urls = [] def protocol(): for i in urls: try: if 'https' not in i: final_urls.append( 'https://'+url.split('/')[2]+i) else: final_urls.append(i) except: pass thread1 = threading.Thread(target=li) thread2 = threading.Thread(target=p) thread3 = threading.Thread(target=a) thread4 = threading.Thread(target=script) thread5 = threading.Thread(target=div) thread6 = threading.Thread(target=meta) thread7 = threading.Thread(target=protocol) thread1.start() thread2.start() thread3.start() thread4.start() thread5.start() thread6.start() thread7.start() thread1.join() thread2.join() thread3.join() thread4.join() thread5.join() thread6.join() thread7.join() for i in list(set(final_urls)): print(i) except: print("\n[ERROR] Incase IP Blocked this error occured!\n") elif sys.argv[1] == '-u': url = sys.argv[2] if url[-1] == '/': pass else: url = sys.argv[2]+'/' ua = UserAgent() header = {'User-Agent': str(ua.random)} reqs = requests.get(url, headers=header) content = reqs.text soup = BeautifulSoup(content, 'html.parser') time.sleep(5) def li_u(): for h in soup.findAll('li'): a = h.find('a') try: if 'href' in a.attrs: url1 = a.get('href') # if url.split('www.')[1] not in url1: ext = tldextract.extract(url1) domain = ''.join(ext.domain+'.'+ext.suffix) URL = str(re.findall(r'//.+?/',str(url))[0]) if str(domain) in str(URL): if 'https' not in url1: print('https://'+sys.argv[1].split('/')[2]+i) urls.append(url1) else: print(url1) else: pass except: pass def meta(): for h in soup.findAll('link'): try: if 'href' in h.attrs: url1 = h.get('href') ext = tldextract.extract(url1) domain = ''.join(ext.domain+'.'+ext.suffix) URL = str(re.findall(r'//.+?/',str(url))[0]) if str(domain) in str(URL): if 'https' not in url1: print('https://'+sys.argv[1].split('/')[2]+i) urls.append(url1) else: print(url1) except: pass def p(): for h in soup.findAll('p'): a = h.find('a') try: if 'href' in a.attrs: url1 = a.get('href') ext = tldextract.extract(url1) domain = ''.join(ext.domain+'.'+ext.suffix) URL = str(re.findall(r'//.+?/',str(url))[0]) if str(domain) in str(URL): if 'https' not in url1: print('https://'+sys.argv[1].split('/')[2]+i) urls.append(url1) else: print(url1) except: pass def a(): for h in soup.findAll('a'): try: if h is not None and 'href' in h.attrs: url1 = h.get('href') ext = tldextract.extract(url1) domain = ''.join(ext.domain+'.'+ext.suffix) URL = str(re.findall(r'//.+?/',str(url))[0]) if str(domain) in str(URL): if 'https' not in url1: print('https://'+sys.argv[1].split('/')[2]+i) urls.append(url1) else: print(url1) except: pass def script(): script_urls = soup.findAll("script") urls = re.findall('http[s]?://(?:[a-zA-Z]|[0-9]|[$-_@.&+]|[!*,]|(?:%[0-9a-fA-F][0-9a-fA-F]))+', str(script_urls)) for i in urls: ext = tldextract.extract(i) domain = ''.join(ext.domain+'.'+ext.suffix) URL = str(re.findall(r'//.+?/',str(url))[0]) if str(domain) in str(URL): print(i) else: pass def div(): for h in soup.findAll('div'): a = h.find('a') try: if 'href' in a.attrs: url1 = a.get('href') ext = tldextract.extract(url1) domain = ''.join(ext.domain+'.'+ext.suffix) URL = str(re.findall(r'//.+?/',str(url))[0]) if str(domain) in str(URL): if 'https' not in url1: print('https://'+sys.argv[1].split('/')[2]+i) urls.append(url1) else: print(url1) except: pass thread1 = threading.Thread(target=li_u) thread2 = threading.Thread(target=p) thread3 = threading.Thread(target=a) thread4 = threading.Thread(target=script) thread5 = threading.Thread(target=div) thread6 = threading.Thread(target=meta) thread1.start() thread2.start() thread3.start() thread4.start() thread5.start() thread6.start() thread1.join() thread2.join() thread3.join() thread4.join() thread5.join() thread6.join() elif sys.argv[1] == '-h': print("[USAGE] python3 af@url_fetcher.py -l <url-list>\n[USAGE] python3 af@url_fetcher.py -u single-url") else: print("[*] Invalid flag") print("[HELP] python3 af@url_fetcher.py -h") except: print("[*] Url not found")

35.886667

129

0.342467

948

10,766

3.875527

0.125527

0.017692

0.074306

0.02994

0.782254

0.768645

0.744692

0.72564

0.725095

0

0.025531

0.545235

10,766

299

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36.006689

0.724877

0.003344

0

0.813688

0

0.007605

0.059564

0.007271

0

1

0.04943

false

0.079848

0.034221

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0.08365

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null

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276772a9c1ae82ac4c8720acd9b87f19461004b3

176,967

py

Python

cave/com.raytheon.viz.gfe/python/autotest/RoutineLevel1_FWS_TestScript.py

srcarter3/awips2

37f31f5e88516b9fd576eaa49d43bfb762e1d174

[ "Apache-2.0" ]

null

cave/com.raytheon.viz.gfe/python/autotest/RoutineLevel1_FWS_TestScript.py

srcarter3/awips2

37f31f5e88516b9fd576eaa49d43bfb762e1d174

[ "Apache-2.0" ]

null

cave/com.raytheon.viz.gfe/python/autotest/RoutineLevel1_FWS_TestScript.py

srcarter3/awips2

37f31f5e88516b9fd576eaa49d43bfb762e1d174

[ "Apache-2.0" ]

1

2021-10-30T00:03:05.000Z

## # This software was developed and / or modified by Raytheon Company, # pursuant to Contract DG133W-05-CQ-1067 with the US Government. # # U.S. EXPORT CONTROLLED TECHNICAL DATA # This software product contains export-restricted data whose # export/transfer/disclosure is restricted by U.S. law. Dissemination # to non-U.S. persons whether in the United States or abroad requires # an export license or other authorization. # # Contractor Name: Raytheon Company # Contractor Address: 6825 Pine Street, Suite 340 # Mail Stop B8 # Omaha, NE 68106 # 402.291.0100 # # See the AWIPS II Master Rights File ("Master Rights File.pdf") for # further licensing information. ## # ---------------------------------------------------------------------------- # This software is in the public domain, furnished "as is", without technical # support, and with no warranty, express or implied, as to its usefulness for # any purpose. # # FWS tests # # Author: hansen # ---------------------------------------------------------------------------- ## NOTE: If test fails on StqInput Tests by putting up dialog, try ## --removing any overrides in FWS_TBW_Overrides ## --restarting the GFE ## --See if there is an import error in FWS_Overrides or FWS_TBW_Overrides ## If the current override has a problem, ## it picks up the pyo that's lying around from last time. ## So you'll end up with testIndex of 0 every time. import TestScript FWS_createGrids = [ ("Fcst", "MaxT", "SCALAR", "MaxTBegin -24", "MaxTEnd -24", 60, "all"), ("Fcst", "MaxT", "SCALAR", "MaxTBegin", "MaxTEnd", 78, "all"), ("Fcst", "MaxT", "SCALAR", "MaxTBegin + 24", "MaxTEnd + 24", 79, "all"), ("Fcst", "MaxT", "SCALAR", "MaxTBegin + 48", "MaxTEnd + 48", 78, "all"), ("Fcst", "MaxT", "SCALAR", "MaxTBegin + 72", "MaxTEnd + 72", 80, "all"), ("Fcst", "MaxT", "SCALAR", "MaxTBegin + 96", "MaxTEnd + 96", 81, "all"), ("Fcst", "MaxT", "SCALAR", "MaxTBegin + 120", "MaxTEnd + 120", 83, "all"), ("Fcst", "MaxT", "SCALAR", "MaxTBegin + 144", "MaxTEnd + 144", 84, "all"), ("Fcst", "MaxT", "SCALAR", "MaxTBegin + 168", "MaxTEnd + 168", 86, "all"), ("Fcst", "MinT", "SCALAR", "MinTBegin-24", "MinTEnd-24", 40, "all"), ("Fcst", "MinT", "SCALAR", "MinTBegin", "MinTEnd", 60, "all"), ("Fcst", "MinT", "SCALAR", "MinTBegin + 24", "MinTEnd + 24", 68, "all"), ("Fcst", "MinT", "SCALAR", "MinTBegin + 48", "MinTEnd + 48", 65, "all"), ("Fcst", "MinT", "SCALAR", "MinTBegin + 72", "MinTEnd + 72", 64, "all"), ("Fcst", "MinT", "SCALAR", "MinTBegin + 96", "MinTEnd + 96", 63, "all"), ("Fcst", "MinT", "SCALAR", "MinTBegin + 120", "MinTEnd + 120", 66, "all"), ("Fcst", "MinT", "SCALAR", "MinTBegin + 144", "MinTEnd + 144", 68, "all"), ("Fcst", "MinT", "SCALAR", "MinTBegin + 168", "MinTEnd + 168", 67, "all"), ("Fcst", "MaxRH", "SCALAR", "MaxRHBegin-24", "MaxRHEnd-24", 60, "all"), ("Fcst", "MaxRH", "SCALAR", "MaxRHBegin", "MaxRHEnd", 78, "all"), ("Fcst", "MaxRH", "SCALAR", "MaxRHBegin + 24", "MaxRHEnd + 24", 80, "all"), ("Fcst", "MaxRH", "SCALAR", "MaxRHBegin + 48", "MaxRHEnd + 48", 85, "all"), ("Fcst", "MaxRH", "SCALAR", "MaxRHBegin + 72", "MaxRHEnd + 72", 90, "all"), ("Fcst", "MaxRH", "SCALAR", "MaxRHBegin + 96", "MaxRHEnd + 96", 87, "all"), ("Fcst", "MaxRH", "SCALAR", "MaxRHBegin + 120", "MaxRHEnd + 120", 88, "all"), ("Fcst", "MaxRH", "SCALAR", "MaxRHBegin + 144", "MaxRHEnd + 144", 89, "all"), ("Fcst", "MaxRH", "SCALAR", "MaxRHBegin + 168", "MaxRHEnd + 168", 90, "all"), ("Fcst", "MinRH", "SCALAR", "MinRHBegin-24", "MinRHEnd-24", 40, "all"), ("Fcst", "MinRH", "SCALAR", "MinRHBegin", "MinRHEnd", 65, "all"), ("Fcst", "MinRH", "SCALAR", "MinRHBegin + 24", "MinRHEnd + 24", 68, "all"), ("Fcst", "MinRH", "SCALAR", "MinRHBegin + 48", "MinRHEnd + 48", 70, "all"), ("Fcst", "MinRH", "SCALAR", "MinRHBegin + 72", "MinRHEnd + 72", 73, "all"), ("Fcst", "MinRH", "SCALAR", "MinRHBegin + 96", "MinRHEnd + 96", 74, "all"), ("Fcst", "MinRH", "SCALAR", "MinRHBegin + 120", "MinRHEnd + 120", 72, "all"), ("Fcst", "MinRH", "SCALAR", "MinRHBegin + 144", "MinRHEnd + 144", 70, "all"), ("Fcst", "MinRH", "SCALAR", "MinRHBegin + 168", "MinRHEnd + 168", 71, "all"), ("Fcst", "Wind", "VECTOR", -24, 0, (10, "SW"), "all"), ("Fcst", "Wind", "VECTOR", 0, 12, (10, "SW"), "all"), ("Fcst", "Wind", "VECTOR", 12, 24, (40, "SE"), "all"), ("Fcst", "Wind", "VECTOR", 24, 36, (35, "NW"), "all"), ("Fcst", "Wind", "VECTOR", 36, 48, (45, "W"), "all"), ("Fcst", "Wind", "VECTOR", 48, 60, (50, "SW"), "all"), ("Fcst", "Wind", "VECTOR", 60, 72, (45, "E"), "all"), ("Fcst", "Wind", "VECTOR", 72, 84, (60, "W"), "all"), ("Fcst", "Wind", "VECTOR", 84, 96, (55, "SW"), "all"), ("Fcst", "Wind", "VECTOR", 96, 108, (55, "SW"), "all"), ("Fcst", "Wind", "VECTOR", 108, 120, (42, "E"), "all"), ("Fcst", "Wind", "VECTOR", 120, 132, (45, "E"), "all"), ("Fcst", "Wind", "VECTOR", 132, 144, (46, "E"), "all"), ("Fcst", "Wind", "VECTOR", 144, 156, (48, "E"), "all"), ("Fcst", "Wind", "VECTOR", 156, 168, (60, "E"), "all"), ("Fcst", "Wind", "VECTOR", 168, 180, (35, "E"), "all"), ("Fcst", "Wind", "VECTOR", 180, 192, (50, "E"), "all"), ("Fcst", "TransWind", "VECTOR", -24, 0, (10, "SW"), "all"), ("Fcst", "TransWind", "VECTOR", 0, 12, (10, "SW"), "all"), ("Fcst", "TransWind", "VECTOR", 12, 24, (5, "W"), "all"), ("Fcst", "TransWind", "VECTOR", 24, 48, (10, "NW"), "all"), ("Fcst", "TransWind", "VECTOR", 48, 72, (20, "W"), "all"), ("Fcst", "TransWind", "VECTOR", 72, 96, (30, "W"), "all"), ("Fcst", "TransWind", "VECTOR", 96, 120, (40, "W"), "all"), ("Fcst", "TransWind", "VECTOR", 120, 144, (50, "W"), "all"), ("Fcst", "TransWind", "VECTOR", 144, 168, (60, "W"), "all"), ("Fcst", "TransWind", "VECTOR", 168, 192, (70, "W"), "all"), ("Fcst", "FreeWind", "VECTOR", -24, 0, (10, "SW"), "all"), ("Fcst", "FreeWind", "VECTOR", 0, 12, (10, "SW"), "all"), ("Fcst", "FreeWind", "VECTOR", 12, 24, (5, "W"), "all"), ("Fcst", "FreeWind", "VECTOR", 24, 48, (10, "NW"), "all"), ("Fcst", "FreeWind", "VECTOR", 48, 72, (20, "W"), "all"), ("Fcst", "FreeWind", "VECTOR", 72, 96, (30, "W"), "all"), ("Fcst", "FreeWind", "VECTOR", 96, 120, (40, "W"), "all"), ("Fcst", "FreeWind", "VECTOR", 120, 144, (50, "W"), "all"), ("Fcst", "FreeWind", "VECTOR", 144, 168, (60, "W"), "all"), ("Fcst", "FreeWind", "VECTOR", 168, 192, (70, "W"), "all"), ("Fcst", "WindGust", "SCALAR", -24, 0, 25, "all"), ("Fcst", "WindGust", "SCALAR", 0, 12, 25, "all"), ("Fcst", "WindGust", "SCALAR", 12, 24, 0, "all"), ("Fcst", "WindGust", "SCALAR", 24, 36, 0, "all"), ("Fcst", "WindGust", "SCALAR", 36, 48, 0, "all"), ("Fcst", "WindGust", "SCALAR", 48, 60, 0, "all"), ("Fcst", "WindGust", "SCALAR", 60, 72, 0, "all"), ("Fcst", "WindGust", "SCALAR", 72, 84, 0, "all"), ("Fcst", "WindGust", "SCALAR", 84, 96, 0, "all"), ("Fcst", "WindGust", "SCALAR", 96, 108, 0, "all"), ("Fcst", "T", "SCALAR", 24, 0, 100, "all"), ("Fcst", "T", "SCALAR", 0, 12, 100, "all"), ("Fcst", "T", "SCALAR", 12, 24, 95, "all"), ("Fcst", "T", "SCALAR", 24, 36, 0, "all"), ("Fcst", "T", "SCALAR", 36, 48, 15, "all"), ("Fcst", "T", "SCALAR", 48, 60, 30, "all"), ("Fcst", "T", "SCALAR", 60, 72, 55, "all"), ("Fcst", "T", "SCALAR", 72, 84, 65, "all"), ("Fcst", "T", "SCALAR", 84, 96, 70, "all"), ("Fcst", "T", "SCALAR", 96, 108, 30, "all"), ("Fcst", "T", "SCALAR", 108, 120, 48, "all"), ("Fcst", "T", "SCALAR", 120, 132, 100, "all"), ("Fcst", "T", "SCALAR", 132, 144, 10, "all"), ("Fcst", "T", "SCALAR", 144, 156, 75, "all"), ("Fcst", "T", "SCALAR", 156, 168, 25, "all"), ("Fcst", "T", "SCALAR", 168, 180, 20, "all"), ("Fcst", "T", "SCALAR", 180, 192, 87, "all"), ("Fcst", "Td", "SCALAR", 24, 0, 100, "all"), ("Fcst", "Td", "SCALAR", 0, 12, 100, "all"), ("Fcst", "Td", "SCALAR", 12, 24, 95, "all"), ("Fcst", "Td", "SCALAR", 24, 36, 0, "all"), ("Fcst", "Td", "SCALAR", 36, 48, 15, "all"), ("Fcst", "Td", "SCALAR", 48, 60, 30, "all"), ("Fcst", "Td", "SCALAR", 60, 72, 55, "all"), ("Fcst", "Td", "SCALAR", 72, 84, 65, "all"), ("Fcst", "Td", "SCALAR", 84, 96, 70, "all"), ("Fcst", "Td", "SCALAR", 96, 108, 30, "all"), ("Fcst", "Td", "SCALAR", 108, 120, 48, "all"), ("Fcst", "Td", "SCALAR", 120, 132, 100, "all"), ("Fcst", "Td", "SCALAR", 132, 144, 10, "all"), ("Fcst", "Td", "SCALAR", 144, 156, 75, "all"), ("Fcst", "Td", "SCALAR", 156, 168, 25, "all"), ("Fcst", "Td", "SCALAR", 168, 180, 20, "all"), ("Fcst", "Td", "SCALAR", 180, 192, 87, "all"), ("Fcst", "RH", "SCALAR", 24, 0, 100, "all"), ("Fcst", "RH", "SCALAR", 0, 12, 100, "all"), ("Fcst", "RH", "SCALAR", 12, 24, 95, "all"), ("Fcst", "RH", "SCALAR", 24, 36, 0, "all"), ("Fcst", "RH", "SCALAR", 36, 48, 15, "all"), ("Fcst", "RH", "SCALAR", 48, 60, 30, "all"), ("Fcst", "RH", "SCALAR", 60, 72, 55, "all"), ("Fcst", "RH", "SCALAR", 72, 84, 65, "all"), ("Fcst", "RH", "SCALAR", 84, 96, 70, "all"), ("Fcst", "RH", "SCALAR", 96, 108, 30, "all"), ("Fcst", "RH", "SCALAR", 108, 120, 48, "all"), ("Fcst", "RH", "SCALAR", 120, 132, 100, "all"), ("Fcst", "RH", "SCALAR", 132, 144, 10, "all"), ("Fcst", "RH", "SCALAR", 144, 156, 75, "all"), ("Fcst", "RH", "SCALAR", 156, 168, 25, "all"), ("Fcst", "RH", "SCALAR", 168, 180, 20, "all"), ("Fcst", "RH", "SCALAR", 180, 192, 87, "all"), ("Fcst", "Sky", "SCALAR", 24, 0, 100, "all"), ("Fcst", "Sky", "SCALAR", 0, 12, 100, "all"), ("Fcst", "Sky", "SCALAR", 12, 24, 95, "all"), ("Fcst", "Sky", "SCALAR", 24, 36, 0, "all"), ("Fcst", "Sky", "SCALAR", 36, 48, 15, "all"), ("Fcst", "Sky", "SCALAR", 48, 60, 30, "all"), ("Fcst", "Sky", "SCALAR", 60, 72, 55, "all"), ("Fcst", "Sky", "SCALAR", 72, 84, 65, "all"), ("Fcst", "Sky", "SCALAR", 84, 96, 70, "all"), ("Fcst", "Sky", "SCALAR", 96, 108, 30, "all"), ("Fcst", "Sky", "SCALAR", 108, 120, 48, "all"), ("Fcst", "Sky", "SCALAR", 120, 132, 100, "all"), ("Fcst", "Sky", "SCALAR", 132, 144, 10, "all"), ("Fcst", "Sky", "SCALAR", 144, 156, 75, "all"), ("Fcst", "Sky", "SCALAR", 156, 168, 25, "all"), ("Fcst", "Sky", "SCALAR", 168, 180, 20, "all"), ("Fcst", "Sky", "SCALAR", 180, 192, 87, "all"), ("Fcst", "Wx", "WEATHER", -24, 0, "Patchy:F:+:<NoVis>:", "all"), ("Fcst", "Wx", "WEATHER", 0, 12, "Patchy:F:+:<NoVis>:", "all"), ("Fcst", "Wx", "WEATHER", 12, 24, "Wide:T:<NoInten>:<NoVis>:", "all"), ("Fcst", "Wx", "WEATHER", 24, 36, "Chc:RW:-:<NoVis>:", "all"), ("Fcst", "Wx", "WEATHER", 36, 48, "Frq:R:--:<NoVis>:", "all"), ("Fcst", "Wx", "WEATHER", 48, 60, "Wide:ZR:-:<NoVis>:", "all"), ("Fcst", "Wx", "WEATHER", 60, 72, "Lkly:S:--:<NoVis>:", "all"), ("Fcst", "Wx", "WEATHER", 72, 84, "Wide:IP:--:<NoVis>:", "all"), ("Fcst", "Wx", "WEATHER", 84, 96, "Areas:BS:<NoInten>:<NoVis>:", "all"), ("Fcst", "Wx", "WEATHER", 96, 108, "Patchy:F:<NoInten>:<NoVis>:", "all"), ("Fcst", "Wx", "WEATHER", 108, 120, "Lkly:L:--:<NoVis>:", "all"), ("Fcst", "Wx", "WEATHER", 120, 132, "SChc:ZL:--:<NoVis>:", "all"), ("Fcst", "Wx", "WEATHER", 132, 144, "Num:T:<NoInten>:<NoVis>:", "all"), ("Fcst", "Wx", "WEATHER", 144, 156, "Iso:ZY:-:<NoVis>:", "all"), ("Fcst", "Wx", "WEATHER", 156, 168, "Areas:FR:<NoInten>:<NoVis>:", "all"), ("Fcst", "Wx", "WEATHER", 168, 180, "Chc:RW:-:<NoVis>:", "all"), ("Fcst", "Wx", "WEATHER", 180, 192, "Brf:R:m:<NoVis>:", "all"), ("Fcst", "PoP", "SCALAR", -24, 0, 0, "all"), ("Fcst", "PoP", "SCALAR", 0, 12, 0, "all"), ("Fcst", "PoP", "SCALAR", 12, 24, 90 , "all"), ("Fcst", "PoP", "SCALAR", 24, 36, 90, "all"), ("Fcst", "PoP", "SCALAR", 36, 48, 90, "all"), ("Fcst", "PoP", "SCALAR", 48, 60, 90, "all"), ("Fcst", "PoP", "SCALAR", 60, 72, 70, "all"), ("Fcst", "PoP", "SCALAR", 72, 84, 90, "all"), ("Fcst", "PoP", "SCALAR", 84, 96, 0, "all"), ("Fcst", "PoP", "SCALAR", 96, 108, 0, "all"), ("Fcst", "PoP", "SCALAR", 108, 120, 70, "all"), ("Fcst", "PoP", "SCALAR", 120, 132, 20, "all"), ("Fcst", "PoP", "SCALAR", 132, 144, 70, "all"), ("Fcst", "PoP", "SCALAR", 144, 156, 20, "all"), ("Fcst", "PoP", "SCALAR", 156, 168, 0, "all"), ("Fcst", "PoP", "SCALAR", 168, 180, 40, "all"), ("Fcst", "PoP", "SCALAR", 180, 192, 90, "all"), ("Fcst", "LAL", "SCALAR", -24, 0, 1, "all"), ("Fcst", "LAL", "SCALAR", 0, 12, 1, "all"), ("Fcst", "LAL", "SCALAR", 12, 24, 2, "all"), ("Fcst", "LAL", "SCALAR", 24, 36, 3, "all"), ("Fcst", "LAL", "SCALAR", 36, 48, 4, "all"), ("Fcst", "LAL", "SCALAR", 48, 60, 5, "all"), ("Fcst", "LAL", "SCALAR", 60, 72, 6, "all"), ("Fcst", "LAL", "SCALAR", 72, 84, 3, "all"), ("Fcst", "LAL", "SCALAR", 84, 96, 1, "all"), ("Fcst", "LAL", "SCALAR", 96, 108, 2, "all"), ("Fcst", "LAL", "SCALAR", 108, 120, 4, "all"), ("Fcst", "LAL", "SCALAR", 120, 132, 5, "all"), ("Fcst", "LAL", "SCALAR", 132, 144, 3, "all"), ("Fcst", "LAL", "SCALAR", 144, 156, 2, "all"), ("Fcst", "LAL", "SCALAR", 156, 168, 5, "all"), ("Fcst", "LAL", "SCALAR", 168, 180, 6, "all"), ("Fcst", "LAL", "SCALAR", 180, 192, 3, "all"), ("Fcst", "CWR", "SCALAR", -24, 0, 0, "all"), ("Fcst", "CWR", "SCALAR", 0, 12, 0, "all"), ("Fcst", "CWR", "SCALAR", 12, 24, 20, "all"), ("Fcst", "CWR", "SCALAR", 24, 36, 30, "all"), ("Fcst", "CWR", "SCALAR", 36, 48, 30, "all"), ("Fcst", "CWR", "SCALAR", 48, 60, 45, "all"), ("Fcst", "CWR", "SCALAR", 60, 72, 60, "all"), ("Fcst", "CWR", "SCALAR", 72, 84, 25, "all"), ("Fcst", "CWR", "SCALAR", 84, 96, 47, "all"), ("Fcst", "CWR", "SCALAR", 96, 108, 34, "all"), ("Fcst", "CWR", "SCALAR", 108, 120, 60, "all"), ("Fcst", "CWR", "SCALAR", 120, 132, 55, "all"), ("Fcst", "CWR", "SCALAR", 132, 144, 50, "all"), ("Fcst", "CWR", "SCALAR", 144, 156, 20, "all"), ("Fcst", "CWR", "SCALAR", 156, 168, 10, "all"), ("Fcst", "CWR", "SCALAR", 168, 180, 5, "all"), ("Fcst", "CWR", "SCALAR", 180, 192, 40, "all"), ("Fcst", "QPF", "SCALAR", -24, 0, 0, "all"), ("Fcst", "QPF", "SCALAR", 0, 12, 0, "all"), ("Fcst", "QPF", "SCALAR", 12, 24, 0.05, "all"), ("Fcst", "QPF", "SCALAR", 24, 36, 0.1, "all"), ("Fcst", "QPF", "SCALAR", 36, 48, 0, "all"), ("Fcst", "QPF", "SCALAR", 48, 60, 5, "all"), ("Fcst", "QPF", "SCALAR", 60, 72, 4.5, "all"), ("Fcst", "QPF", "SCALAR", 72, 84, 1.5, "all"), ("Fcst", "QPF", "SCALAR", 84, 96, 2.5, "all"), ("Fcst", "QPF", "SCALAR", 96, 108, 3.5, "all"), ("Fcst", "QPF", "SCALAR", 108, 120, 4.0, "all"), ("Fcst", "QPF", "SCALAR", 120, 132, 1.0, "all"), ("Fcst", "QPF", "SCALAR", 132, 144, 2.0, "all"), ("Fcst", "QPF", "SCALAR", 144, 156, 3.0, "all"), ("Fcst", "QPF", "SCALAR", 156, 168, 1.3, "all"), ("Fcst", "QPF", "SCALAR", 168, 180, 0.12, "all"), ("Fcst", "QPF", "SCALAR", 180, 192, 0.34, "all"), ("Fcst", "Haines", "SCALAR", -24, 0, 2, "all"), ("Fcst", "Haines", "SCALAR", 0, 12, 2, "all"), ("Fcst", "Haines", "SCALAR", 12, 24, 3, "all"), ("Fcst", "Haines", "SCALAR", 24, 36, 4, "all"), ("Fcst", "Haines", "SCALAR", 36, 48, 6, "all"), ("Fcst", "Haines", "SCALAR", 48, 60, 2, "all"), ("Fcst", "Haines", "SCALAR", 60, 72, 3, "all"), ("Fcst", "Haines", "SCALAR", 72, 84, 2, "all"), ("Fcst", "Haines", "SCALAR", 84, 96, 3, "all"), ("Fcst", "Haines", "SCALAR", 96, 108, 5, "all"), ("Fcst", "Haines", "SCALAR", 108, 120, 6, "all"), ("Fcst", "Haines", "SCALAR", 120, 132, 3, "all"), ("Fcst", "Haines", "SCALAR", 132, 144, 2, "all"), ("Fcst", "Haines", "SCALAR", 144, 156, 3, "all"), ("Fcst", "Haines", "SCALAR", 156, 168, 4, "all"), ("Fcst", "Haines", "SCALAR", 168, 180, 3, "all"), ("Fcst", "Haines", "SCALAR", 180, 192, 6, "all"), ("Fcst", "MixHgt", "SCALAR", -24, 0, 50, "all"), ("Fcst", "MixHgt", "SCALAR", 0, 24, 50, "all"), ("Fcst", "MixHgt", "SCALAR", 24, 48, 100, "all"), ("Fcst", "MixHgt", "SCALAR", 48, 72, 4000, "all"), ("Fcst", "MixHgt", "SCALAR", 72, 96, 3500, "all"), ("Fcst", "MixHgt", "SCALAR", 96, 120, 300, "all"), ("Fcst", "MixHgt", "SCALAR", 120, 144, 10, "all"), ("Fcst", "MixHgt", "SCALAR", 144, 168, 5000, "all"), ("Fcst", "MixHgt", "SCALAR", 168, 192, 600, "all"), ("Fcst", "MarineLayer", "SCALAR", 0, 24, 1000, "all"), ("Fcst", "MarineLayer", "SCALAR", 24, 48, 2000, "all"), ("Fcst", "MarineLayer", "SCALAR", 48, 72, 4000, "all"), ("Fcst", "MarineLayer", "SCALAR", 72, 96, 5280, "all"), ("Fcst", "MarineLayer", "SCALAR", 96, 120, 6500, "all"), ("Fcst", "MarineLayer", "SCALAR", 120, 144, 10000, "all"), ("Fcst", "MarineLayer", "SCALAR", 144, 168, 12300, "all"), ("Fcst", "MarineLayer", "SCALAR", 168, 192, 14500, "all"), ("Fcst", "Wind20ft", "VECTOR", -24, 0, (5, "N"), "all"), ("Fcst", "Wind20ft", "VECTOR", 0, 12, (5, "N"), "all"), ("Fcst", "Wind20ft", "VECTOR", 12, 24, (40, "NE"), "all"), ("Fcst", "Wind20ft", "VECTOR", 24, 36, (10, "NW"), "all"), ("Fcst", "Wind20ft", "VECTOR", 36, 48, (0, "N"), "all"), ("Fcst", "Wind20ft", "VECTOR", 48, 60, (125, "E"), "all"), ("Fcst", "Wind20ft", "VECTOR", 60, 72, (90, "S"), "all"), ("Fcst", "Wind20ft", "VECTOR", 72, 84, (50, "S"), "all"), ("Fcst", "Wind20ft", "VECTOR", 84, 96, (100, "S"), "all"), ("Fcst", "Wind20ft", "VECTOR", 96, 108, (0, "S"), "all"), ("Fcst", "Wind20ft", "VECTOR", 108, 120, (10, "S"), "all"), ("Fcst", "Wind20ft", "VECTOR", 120, 132, (30, "S"), "all"), ("Fcst", "Wind20ft", "VECTOR", 132, 144, (60, "S"), "all"), ("Fcst", "Wind20ft", "VECTOR", 144, 156, (25, "S"), "all"), ("Fcst", "Wind20ft", "VECTOR", 156, 168, (68, "S"), "all"), ("Fcst", "Wind20ft", "VECTOR", 168, 180, (15, "S"), "all"), ("Fcst", "Wind20ft", "VECTOR", 180, 192, (2, "S"), "all"), ("Fcst", "VentRate", "SCALAR", -24, 0, 160000, "all"), ("Fcst", "VentRate", "SCALAR", 0, 12, 160000, "all"), ("Fcst", "VentRate", "SCALAR", 12, 24, 100000, "all"), ("Fcst", "VentRate", "SCALAR", 24, 36, 50000, "all"), ("Fcst", "VentRate", "SCALAR", 36, 48, 20000, "all"), ("Fcst", "VentRate", "SCALAR", 48, 60, 70000, "all"), ("Fcst", "VentRate", "SCALAR", 60, 144, 4000, "all"), ("Fcst", "VentRate", "SCALAR", 144, 168, 6900, "all"), ("Fcst", "VentRate", "SCALAR", 168, 192, 30000, "all"), ("Fcst", "Stability", "SCALAR", -24, 0, 1, "all"), ("Fcst", "Stability", "SCALAR", 0, 12, 1, "all"), ("Fcst", "Stability", "SCALAR", 12, 24, 2, "all"), ("Fcst", "Stability", "SCALAR", 24, 36, 1, "all"), ("Fcst", "Stability", "SCALAR", 36, 48, 3, "all"), ("Fcst", "Stability", "SCALAR", 48, 60, 4, "all"), ("Fcst", "Stability", "SCALAR", 60, 72, 5, "all"), ("Fcst", "Stability", "SCALAR", 72, 84, 1, "all"), ("Fcst", "Stability", "SCALAR", 84, 96, 2, "all"), ("Fcst", "Stability", "SCALAR", 96, 108, 3, "all"), ("Fcst", "Stability", "SCALAR", 108, 120, 4, "all"), ("Fcst", "Stability", "SCALAR", 120, 132, 5, "all"), ("Fcst", "Stability", "SCALAR", 132, 144, 4, "all"), ("Fcst", "Stability", "SCALAR", 144, 156, 3, "all"), ("Fcst", "Stability", "SCALAR", 156, 168, 2, "all"), ("Fcst", "Stability", "SCALAR", 168, 180, 1, "all"), ("Fcst", "Stability", "SCALAR", 180, 192, 3, "all"), ("Fcst", "HrsOfSun", "SCALAR", -24, 0, 6, "all"), ("Fcst", "HrsOfSun", "SCALAR", 0, 24, 6, "all"), ("Fcst", "HrsOfSun", "SCALAR", 24, 48, 7, "all"), ("Fcst", "HrsOfSun", "SCALAR", 48, 72, 5, "all"), ("Fcst", "HrsOfSun", "SCALAR", 72, 96, 5, "all"), ("Fcst", "HrsOfSun", "SCALAR", 96, 120, 5, "all"), ("Fcst", "HrsOfSun", "SCALAR", 120, 144, 5, "all"), ("Fcst", "HrsOfSun", "SCALAR", 144, 168, 5, "all"), ("Fcst", "HrsOfSun", "SCALAR", 168, 192, 5, "all"), ("Fcst", "DSI", "SCALAR", -24, 0, 0, "all"), ("Fcst", "DSI", "SCALAR", 0, 12, 0, "all"), ("Fcst", "DSI", "SCALAR", 12, 24, 2, "all"), ("Fcst", "DSI", "SCALAR", 24, 36, 6, "all"), ("Fcst", "DSI", "SCALAR", 36, 48, 1, "all"), ("Fcst", "DSI", "SCALAR", 48, 60, 5, "all"), ("Fcst", "DSI", "SCALAR", 60, 72, 4, "all"), ("Fcst", "DSI", "SCALAR", 72, 84, 3, "all"), ("Fcst", "DSI", "SCALAR", 84, 96, 2, "all"), ("Fcst", "DSI", "SCALAR", 96, 108, 1, "all"), ("Fcst", "DSI", "SCALAR", 108, 120, 0, "all"), ("Fcst", "DSI", "SCALAR", 120, 132, 5, "all"), ("Fcst", "DSI", "SCALAR", 132, 144, 4, "all"), ("Fcst", "DSI", "SCALAR", 144, 156, 3, "all"), ("Fcst", "DSI", "SCALAR", 156, 168, 2, "all"), ("Fcst", "DSI", "SCALAR", 168, 180, 1, "all"), ("Fcst", "DSI", "SCALAR", 180, 192, 0, "all"), ] Sky_createGrids = [ ("Fcst", "Sky", "SCALAR", 0, 12, 25, "all"), ("Fcst", "Sky", "SCALAR", 12, 24, 50, "all"), ("Fcst", "Sky", "SCALAR", 24, 36, 75, "all"), ] testProcVarList1 = """ def getPreviousProduct(self, stqPil, searchString, version=0): stqProducts = self._stqProducts() if version > len(stqProducts) - 1: return None else: return stqProducts[version] def _callProcessVariableList(self, title, varList, varDict): # Transfer varList to varDict print "Test Index", self._testIndex desFireName = "Please Choose a Fire", "fireName" issuance = "Product Issuance:","productIssuance" for entry in varList: print "**** entry:", entry name = entry[0] #print "name", name default = entry[1] if name == desFireName: valueList = entry[3] if name == issuance: try: default = self._setIssuance print "setting issuance", self._setIssuance except: pass try: default = float(default) except: pass varDict[name] = default if varDict.has_key(desFireName): varDict[desFireName] = valueList[self._testIndex] varDict[('Forecaster:', 'forecaster')] = "FORECASTER C" for key in varDict.keys(): print key, varDict[key] return varDict def _makeFcstTimeStatement(self, fcst, argDict): actualTimeZone = self._getActualTimeZone() #self._fireDateTime = time.strptime( # self._fireTime + ' ' + self._fireDate + ' ' + actualTimeZone, # '%H%M %m/%d/%y %Z') self._fireDateTime = time.strptime( self._fireTime + ' ' + self._fireDate, '%H%M %m/%d/%y') requestWords = self._getRequestWords() fcst = fcst + time.strftime( 'Forecast is based on ' + requestWords + ' time of %H%M %Z on %B %d. ', self._fireDateTime) fcst = fcst + "\\n" self._makeFireTimeRange() return fcst def _stqProducts(self): products = [ \"\"\" BMBB91 KBYZ 131500 STQBYZ A SPOT FORECAST REQUEST HAS JUST BEEN RECEIVED FOR A WILDFIRE NAMED "IFPS TEST" PRIORITY: IMMEDIATE DATE: 10/13/04 TIME: 0912 PROJECT NAME: IFPS TEST 0 PROJECT TYPE: WILDFIRE REQUESTING AGENCY: WFO Billings REQUESTING OFFICIAL: Virgil Middendorf FAX: (406) 652-3214 EMERGENCY PHONE: (406) 652-0851 LOCATION: STATE: MT DLAT: 28.27 DLON: 82.19 EXPOSURE: N FUEL TYPE: Grass SHELTERING: UNSHELTERED BOTTOM ELEVATION: 3200 TOP ELEVATION: 3200 SIZE (ACRES): 1 WEATHER CONDITIONS AT PROJECT OR FROM NEARBY STATIONS SITE ELEV=3200 TIME=0900 WIND=SW10 T=50 TW=45 RH=90 TD= Cloudy ELEV= TIME= WIND= T= TW= RH= TD= ELEV= TIME= WIND= T= TW= RH= TD= ELEV= TIME= WIND= T= TW= RH= TD= ...REMARKS... TEST ...WEATHER PARAMETERS REQUESTED... CLOUDS / WEATHER: 1,0,1 CHANCE OF WETTING RAIN: 1,0,1 TEMPERATURE: 1,0,1 RELATIVE HUMIDITY: 0,0,1 EYE LEVEL WIND: 1,0,0 SMOKE DISPERSION: 1,0,0 SITE: BYZ OFILE: 20041013.IFPST.01 TIMEZONE: MST7MDT \"\"\", \"\"\" BMBB91 KBYZ 131501 STQBYZ A SPOT FORECAST REQUEST HAS JUST BEEN RECEIVED FOR A WILDFIRE NAMED "IFPS TEST" PRIORITY: IMMEDIATE DATE: 10/13/04 TIME: 0912 PROJECT NAME: IFPS TEST 1 PROJECT TYPE: HAZMAT REQUESTING AGENCY: WFO Billings REQUESTING OFFICIAL: Virgil Middendorf FAX: (406) 652-3214 EMERGENCY PHONE: (406) 652-0851 LOCATION: STATE: MT DLAT: 28.27 DLON: 82.19 EXPOSURE: N FUEL TYPE: Grass SHELTERING: UNSHELTERED BOTTOM ELEVATION: 3200 TOP ELEVATION: 3200 SIZE (ACRES): 1 WEATHER CONDITIONS AT PROJECT OR FROM NEARBY STATIONS SITE ELEV=3200 TIME=0900 WIND=SW10 T=50 TW=45 RH=90 TD= Cloudy ELEV= TIME= WIND= T= TW= RH= TD= ELEV= TIME= WIND= T= TW= RH= TD= ELEV= TIME= WIND= T= TW= RH= TD= ...REMARKS... TEST ...WEATHER PARAMETERS REQUESTED... CLOUDS / WEATHER: 1,0,1 CHANCE OF WETTING RAIN: 1,0,1 TEMPERATURE: 1,0,0 RELATIVE HUMIDITY: 1,0,0 EYE LEVEL WIND: 1,0,0 SMOKE DISPERSION: 1,0,0 SITE: BYZ OFILE: 20041013.IFPST.01 TIMEZONE: MST7MDT \"\"\", \"\"\" BMBB91 KBYZ 131502 STQBYZ A SPOT FORECAST REQUEST HAS JUST BEEN RECEIVED FOR A WILDFIRE NAMED "IFPS TEST" PRIORITY: IMMEDIATE DATE: 10/13/04 TIME: 0912 PROJECT NAME: IFPS TEST 2 PROJECT TYPE: PRESCRIBED REQUESTING AGENCY: WFO Billings REQUESTING OFFICIAL: Virgil Middendorf FAX: (406) 652-3214 EMERGENCY PHONE: (406) 652-0851 LOCATION: STATE: MT DLAT: 28.27 DLON: 82.19 EXPOSURE: N FUEL TYPE: Grass SHELTERING: UNSHELTERED BOTTOM ELEVATION: 3200 TOP ELEVATION: 3200 SIZE (ACRES): 1 WEATHER CONDITIONS AT PROJECT OR FROM NEARBY STATIONS SITE ELEV=3200 TIME=0900 WIND=SW10 T=50 TW=45 RH=90 TD= Cloudy ELEV= TIME= WIND= T= TW= RH= TD= ELEV= TIME= WIND= T= TW= RH= TD= ELEV= TIME= WIND= T= TW= RH= TD= ...REMARKS... TEST ...WEATHER PARAMETERS REQUESTED... CLOUDS / WEATHER: 1,1,1 CHANCE OF WETTING RAIN: 1,1,1 TEMPERATURE: 1,1,0 RELATIVE HUMIDITY: 1,1,0 EYE LEVEL WIND: 1,0,0 SMOKE DISPERSION: 1,0,0 SITE: BYZ OFILE: 20041013.IFPST.01 TIMEZONE: MST7MDT \"\"\", \"\"\" BMBB91 KBYZ 131503 STQBYZ A SPOT FORECAST REQUEST HAS JUST BEEN RECEIVED FOR A PRESCRIBED NAMED "IFPS TEST" PRIORITY: IMMEDIATE DATE: 10/13/04 TIME: 0912 PROJECT NAME: IFPS TEST 3 PROJECT TYPE: PRESCRIBED REQUESTING AGENCY: WFO Billings REQUESTING OFFICIAL: Virgil Middendorf FAX: (406) 652-3214 EMERGENCY PHONE: (406) 652-0851 LOCATION: STATE: MT DLAT: 28.27 DLON: 82.19 EXPOSURE: N FUEL TYPE: Grass SHELTERING: UNSHELTERED BOTTOM ELEVATION: 3200 TOP ELEVATION: 3200 SIZE (ACRES): 1 WEATHER CONDITIONS AT PROJECT OR FROM NEARBY STATIONS SITE ELEV=3200 TIME=0900 WIND=SW10 T=50 TW=45 RH=90 TD= Cloudy ELEV= TIME= WIND= T= TW= RH= TD= ELEV= TIME= WIND= T= TW= RH= TD= ELEV= TIME= WIND= T= TW= RH= TD= ...REMARKS... TEST ...WEATHER PARAMETERS REQUESTED... CLOUDS / WEATHER: 1,1,1 CHANCE OF WETTING RAIN: 1,1,1 TEMPERATURE: 1,1,0 RELATIVE HUMIDITY: 1,1,0 EYE LEVEL WIND: 0,0,0 SMOKE DISPERSION: 0,0,0 SITE: BYZ OFILE: 20041013.IFPST.01 TIMEZONE: MST7MDT \"\"\", \"\"\" BMBB91 KBYZ 131504 STQBYZ A SPOT FORECAST REQUEST HAS JUST BEEN RECEIVED FOR A PRESCRIBED NAMED "IFPS TEST" PRIORITY: IMMEDIATE DATE: 10/13/04 TIME: 0912 PROJECT NAME: IFPS TEST 4 PROJECT TYPE: PRESCRIBED REQUESTING AGENCY: WFO Billings REQUESTING OFFICIAL: Virgil Middendorf FAX: (406) 652-3214 EMERGENCY PHONE: (406) 652-0851 LOCATION: STATE: MT DLAT: 28.27 DLON: 82.19 EXPOSURE: N FUEL TYPE: Grass SHELTERING: UNSHELTERED BOTTOM ELEVATION: 3200 TOP ELEVATION: 3200 SIZE (ACRES): 1 WEATHER CONDITIONS AT PROJECT OR FROM NEARBY STATIONS SITE ELEV=3200 TIME=0900 WIND=SW10 T=50 TW=45 RH=90 TD= Cloudy ELEV= TIME= WIND= T= TW= RH= TD= ELEV= TIME= WIND= T= TW= RH= TD= ELEV= TIME= WIND= T= TW= RH= TD= ...REMARKS... TEST ...WEATHER PARAMETERS REQUESTED... CLOUDS / WEATHER: 1,1,1 CHANCE OF WETTING RAIN: 1,1,1 TEMPERATURE: 1,1,0 RELATIVE HUMIDITY: 1,1,0 EYE LEVEL WIND: 1,0,0 SMOKE DISPERSION: 1,0,0 CLEARING INDEX: 1,1,1 Stability class: 1,1,1 Marine layer: 1,1,1 Haines Index: 1,1,1 SITE: BYZ OFILE: 20041013.IFPST.01 TIMEZONE: MST7MDT \"\"\", \"\"\" BMBB91 KBYZ 131505 STQBYZ A SPOT FORECAST REQUEST HAS JUST BEEN RECEIVED FOR A PRESCRIBED NAMED "IFPS TEST" PRIORITY: IMMEDIATE DATE: 10/13/04 TIME: 0912 PROJECT NAME: IFPS TEST 5 PROJECT TYPE: PRESCRIBED REQUESTING AGENCY: WFO Billings REQUESTING OFFICIAL: Virgil Middendorf FAX: (406) 652-3214 EMERGENCY PHONE: (406) 652-0851 LOCATION: STATE: MT DLAT: 28.27 DLON: 82.19 EXPOSURE: N FUEL TYPE: Grass SHELTERING: UNSHELTERED BOTTOM ELEVATION: 3200 TOP ELEVATION: 3200 SIZE (ACRES): 1 WEATHER CONDITIONS AT PROJECT OR FROM NEARBY STATIONS SITE ELEV=3200 TIME=0900 WIND=SW10 T=50 TW=45 RH=90 TD= Cloudy ELEV= TIME= WIND= T= TW= RH= TD= ELEV= TIME= WIND= T= TW= RH= TD= ELEV= TIME= WIND= T= TW= RH= TD= ...REMARKS... TEST ...WEATHER PARAMETERS REQUESTED... CLOUDS / WEATHER: 1,1,1 CHANCE OF WETTING RAIN: 1,1,1 TEMPERATURE: 1,1,0 RELATIVE HUMIDITY: 1,1,0 EYE LEVEL WIND: 1,0,0 SMOKE DISPERSION: 1,0,0 CLEARING INDEX: 1,1,0 Stability class: 1,1,0 Marine layer: 1,1,0 Haines Index: 1,1,0 SITE: BYZ OFILE: 20041013.IFPST.01 TIMEZONE: MST7MDT \"\"\", \"\"\" BMBB91 KBYZ 131506 STQBYZ A SPOT FORECAST REQUEST HAS JUST BEEN RECEIVED FOR A PRESCRIBED NAMED "IFPS TEST" PRIORITY: IMMEDIATE DATE: 10/13/04 TIME: 0912 PROJECT NAME: IFPS TEST 6 PROJECT TYPE: PRESCRIBED REQUESTING AGENCY: WFO Billings REQUESTING OFFICIAL: Virgil Middendorf FAX: (406) 652-3214 EMERGENCY PHONE: (406) 652-0851 LOCATION: STATE: MT DLAT: 28.27 DLON: 82.19 EXPOSURE: N FUEL TYPE: Grass SHELTERING: UNSHELTERED BOTTOM ELEVATION: 3200 TOP ELEVATION: 3200 SIZE (ACRES): 1 WEATHER CONDITIONS AT PROJECT OR FROM NEARBY STATIONS SITE ELEV=3200 TIME=0900 WIND=SW10 T=50 TW=45 RH=90 TD= Cloudy ELEV= TIME= WIND= T= TW= RH= TD= ELEV= TIME= WIND= T= TW= RH= TD= ELEV= TIME= WIND= T= TW= RH= TD= ...REMARKS... TEST ...WEATHER PARAMETERS REQUESTED... CLOUDS / WEATHER: 1,1,1 CHANCE OF WETTING RAIN: 1,1,1 TEMPERATURE: 1,1,0 RELATIVE HUMIDITY: 1,1,0 EYE LEVEL WIND: 1,0,0 SMOKE DISPERSION: 1,0,0 CLEARING INDEX: 1,0,0 Stability class: 1,0,0 Marine layer: 1,0,0 Haines Index: 1,0,0 SITE: BYZ OFILE: 20041013.IFPST.01 TIMEZONE: MST7MDT \"\"\", \"\"\" BMBB91 KBYZ 131507 STQBYZ A SPOT FORECAST REQUEST HAS JUST BEEN RECEIVED FOR A PRESCRIBED NAMED "IFPS TEST" PRIORITY: IMMEDIATE DATE: 10/13/04 TIME: 0912 PROJECT NAME: IFPS TEST 7 PROJECT TYPE: PRESCRIBED REQUESTING AGENCY: WFO Billings REQUESTING OFFICIAL: Virgil Middendorf FAX: (406) 652-3214 EMERGENCY PHONE: (406) 652-0851 LOCATION: STATE: MT DLAT: 28.27 DLON: 82.19 EXPOSURE: N FUEL TYPE: Grass SHELTERING: UNSHELTERED BOTTOM ELEVATION: 3200 TOP ELEVATION: 3200 SIZE (ACRES): 1 WEATHER CONDITIONS AT PROJECT OR FROM NEARBY STATIONS SITE ELEV=3200 TIME=0900 WIND=SW10 T=50 TW=45 RH=90 TD= Cloudy ELEV= TIME= WIND= T= TW= RH= TD= ELEV= TIME= WIND= T= TW= RH= TD= ELEV= TIME= WIND= T= TW= RH= TD= ...REMARKS... TEST ...WEATHER PARAMETERS REQUESTED... CLOUDS / WEATHER: 1,1,1 CHANCE OF WETTING RAIN: 1,1,1 TEMPERATURE: 1,1,0 RELATIVE HUMIDITY: 1,1,0 EYE LEVEL WIND: 1,0,0 SMOKE DISPERSION: 1,0,0 CLEARING INDEX: 1,0,1 Stability class: 1,0,1 Marine layer: 1,0,1 Haines Index: 1,0,1 SITE: BYZ OFILE: 20041013.IFPST.01 TIMEZONE: MST7MDT \"\"\", \"\"\" BMBB91 KBYZ 131508 STQBYZ A SPOT FORECAST REQUEST HAS JUST BEEN RECEIVED FOR A PRESCRIBED NAMED "IFPS TEST" PRIORITY: IMMEDIATE DATE: 10/13/04 TIME: 0912 PROJECT NAME: IFPS TEST 8 PROJECT TYPE: PRESCRIBED REQUESTING AGENCY: WFO Billings REQUESTING OFFICIAL: Virgil Middendorf FAX: (406) 652-3214 EMERGENCY PHONE: (406) 652-0851 LOCATION: STATE: MT DLAT: 28.27 DLON: 82.19 EXPOSURE: N FUEL TYPE: Grass SHELTERING: UNSHELTERED BOTTOM ELEVATION: 3200 TOP ELEVATION: 3200 SIZE (ACRES): 1 WEATHER CONDITIONS AT PROJECT OR FROM NEARBY STATIONS SITE ELEV=3200 TIME=0900 WIND=SW10 T=50 TW=45 RH=90 TD= Cloudy ELEV= TIME= WIND= T= TW= RH= TD= ELEV= TIME= WIND= T= TW= RH= TD= ELEV= TIME= WIND= T= TW= RH= TD= ...REMARKS... TEST ...WEATHER PARAMETERS REQUESTED... CLOUDS / WEATHER: 1,1,0 CHANCE OF WETTING RAIN: 1,1,0 TEMPERATURE: 1,1,0 RELATIVE HUMIDITY: 1,1,0 EYE LEVEL WIND: 1,0,0 SMOKE DISPERSION: 1,0,0 SITE: BYZ OFILE: 20041013.IFPST.01 TIMEZONE: MST7MDT \"\"\", \"\"\" BMBB91 KBYZ 131509 STQBYZ A SPOT FORECAST REQUEST HAS JUST BEEN RECEIVED FOR A PRESCRIBED NAMED "IFPS TEST" PRIORITY: IMMEDIATE DATE: 10/13/04 TIME: 0912 PROJECT NAME: IFPS TEST 9 PROJECT TYPE: PRESCRIBED REQUESTING AGENCY: WFO Billings REQUESTING OFFICIAL: Virgil Middendorf FAX: (406) 652-3214 EMERGENCY PHONE: (406) 652-0851 LOCATION: STATE: MT DLAT: 28.27 DLON: 82.19 EXPOSURE: N FUEL TYPE: Grass SHELTERING: UNSHELTERED BOTTOM ELEVATION: 3200 TOP ELEVATION: 3200 SIZE (ACRES): 1 WEATHER CONDITIONS AT PROJECT OR FROM NEARBY STATIONS SITE ELEV=3200 TIME=0900 WIND=SW10 T=50 TW=45 RH=90 TD= Cloudy ELEV= TIME= WIND= T= TW= RH= TD= ELEV= TIME= WIND= T= TW= RH= TD= ELEV= TIME= WIND= T= TW= RH= TD= ...REMARKS... RIDGE TOP WIND: 10-20 W/ G30. ...WEATHER PARAMETERS REQUESTED... CLOUDS / WEATHER: 0,1,1 CHANCE OF WETTING RAIN: 0,1,1 TEMPERATURE: 0,1,0 RELATIVE HUMIDITY: 0,1,0 EYE LEVEL WIND: 0,0,0 SMOKE DISPERSION: 0,0,0 SITE: BYZ OFILE: 20041013.IFPST.01 TIMEZONE: MST7MDT \"\"\", ] return products """ options = """ # Flag to repeat first period at the end. 1 or 0 Definition["repeat1stPeriod"] = 1 # summaryExtended - flag 0 or 1 to generate a summary extended # forecast. If 1, you must define summaryAreaDict. # Also turn off extendedLabel and includeExtended Definition["summaryExtended"] = 1 # summaryAreaDict - dictionary with keys of the LAC ID # and values of a tuple of (editAreaName, areaLabel) where # areaLabel is a label string such as "Western Virginia" # editAreaName must be the name of a GFE defined edit area Definition["summaryAreaDict"] = { "VAC910c":("area1", "The Roanoke Area."), "NCC940c":("area3", "The northern foothills and mountains of North Carolina."), } # summaryExtendedIntro is a string to introduce the extended # such as "The extended forecast for" Definition["summaryExtendedIntro"] = "Now for the Extended Forecast for" """ testOverrides = """ def _weInfoList(self): # This is the list of possible weather parameters listed under the # ...WEATHER PARAMETERS REQUESTED... section in your STQ Product. # These are listed in the order they will appear in the product. # # Weather Elements: If you have a weather element to add, # then send an email to Virgil.Middendorf@noaa.gov with your addition. # I will baseline it. # # Phrases: You can override this method and edit the phrase method if you # don't like the one used in baseline. # For each element, we list: # --an identifier # --flag to indicate if this is a default element # --the FWF phrase (or list of phrases) to include in the product # --a list of search strings that must appear in # the STQ product to specify the element. # Each search string in the list may be a tuple in which case any of # the entries in the tuple will satsify the search. if self._useRH: dayRH = "RH" nightRH = "RH" else: dayRH = "MinRH" nightRH = "MaxRH" if self._wind20ftHeader: wind = [self.fireWind_label_phrase, self.fireWind_compoundPhrase] else: wind = [self.fireWind_compoundPhrase] return [ ("Sky/weather", 1, self.skyWeather_byTimeRange_compoundPhrase, [("SKY", "CLOUDS"), "WEATHER"]), ("Begin/end of pcpn", 1, self.pcpnTiming_phrase, ["BEGIN", "END", "PCPN"]), ("TEMPERATURE", 1, (self.dayOrNight_phrase, ["MaxT", "MinT", 1, 1]), [("TEMPERATURE", "TEMP")]), ("HUMIDITY", 1, (self.dayOrNight_phrase, [dayRH, nightRH, 1, 1]), [("RH", "HUMIDITY")]), ("DEWPOINT", 1, self.td_phrase, ["DEWPOINT"]), ("20 FOOT WINDS", 1, wind, ["20", "WIND", ("FT", "FOOT")]), ("Eye level winds", 1, self.fireEyeWind_compoundPhrase, [("EYE","10"), "WIND"]), ("WIND SHIFT", 1, self.fireWindShift_label_phrase, ["WIND", "SHIFT"]), ("RIDGE TOP WIND", 1, self.freeWind_phrase, ["WIND", "RIDGE", "TOP"]), ("SURROUNDING RIDGE", 1, self.surroundingRidgeWind_phrase, ["SURROUNDING", "RIDGE", "WIND"]), ("CWR", 1, self.cwr_phrase, [("CWR", "WETTING RAIN")]), ("POP", 1, self.pop_phrase, [("PRECIPITATION", "CHANCE OF PCPN", "POP")]), ("LIGHTNING ACTIVITY LEVEL", 1, self.lal_phrase, [("LAL", "LIGHTNING")]), ("SMOKE DISPERSION", 1, [self.mixingHgt_phrase, self.transportWind_phrase], [("SMOKE", "DISPERSION")]), ("Mixing height", 1, self.mixingHgt_phrase, ["MIXING"]), ("Transport winds", 1, self.transportWind_phrase, ["TRANSPORT", "WIND"]), ("LDSI", 1, self.ldsi_phrase, ["LDSI"]), ("LVORI", 1, self.lvori_phrase, ["LVORI"]), ("DISPERSION INDEX", 1, self.dsi_phrase, ["DISPERSION", "INDEX"]), ("CLEARING INDEX", 1, self.smokeDispersal_phrase, ["CLEARING", "INDEX"]), ("STABILITY CLASS", 1, self.stabilityClass_phrase, ["STABILITY"]), ("Marine layer", 1, self.marineLayer_phrase, ["MARINE", "LAYER"]), ("Haines Index", 1, self.haines_phrase, ["HAINES", "INDEX"]), ] def _rowList(self, colWidth=1): if self._tableWindElementSplit == "no" and colWidth == 7: # 2 hourly wind = [("20 ft wind......", self._wind_value), ("20 ft wind gust.", self._windGust_value)] elif self._tableWindElementSplit == "no" and colWidth > 7: # 3-4 hourly wind = [("20 ft wind......", self._windWithGust_value)] else: wind = [("20 ft wind dir..", self._windDir_value), # 1 hourly ("20 ft wind spd..", self._windSpd_value), ("20 ft wind gust.", self._windGust_value)] if self._tableEyeWindElementSplit == "no" and colWidth == 7: eyewind = [("Eye level wind..", self._eyewind_value), ("Eye level wind..", self._eyewindGust_value)] elif self._tableEyeWindElementSplit == "no" and colWidth > 7: eyewind = [("Eye level wind..", self._eyewindWithGust_value)] else: eyewind = [("Eye lvl wnd dir.", self._eyewindDir_value), ("Eye lvl wnd spd.", self._eyewindSpd_value), ("Eye lvl wnd gst.", self._eyewindGust_value)] if self._tableRidgeElementSplit == "no" and colWidth >=7: ridge = [("Ridgetop wind...", self._ridge_value)] else: ridge = [("Ridge wnd dir..", self._ridgeDir_value), ("Ridge wnd spd..", self._ridgeSpd_value)] # Mixing Height and Transport winds if self._tabularMixingHeightUnits == "ft" and colWidth > 4: mixLabel = "Mix hgt (ft)...." mixMetricLabel = "Mix hgt (m)....." else: mixLabel = "Mix hgt (kft)..." mixMetricLabel = "Mix hgt (km)...." if self._transportWindLabel == "mix": transLabel = "Mixing wind......" transMetricLabel = "Mix wind (m/s).." transDirLabel = "Mixng wind dir.." transSpdLabel = "Mixng wind spd.." transSpdMetricLabel = "Mix wnd spd m/s." else: transLabel = "Transport wind.." transMetricLabel = "Tran wind (m/s)." transDirLabel = "Transp wind dir." transSpdLabel = "Transp wind spd." transSpdMetricLabel = "Trans spd (m/s)." if self._tableTransElementSplit == "no" and colWidth >=7: # Baseline if self._includeMetricDispersion == "yes": smoke = [(mixLabel, self._mixingHeight_value), (mixMetricLabel, self._mixingHeightMetric_value), (transLabel, self._trans_value), (transMetricLabel, self._transMetric_value)] trans = [(transLabel, self._trans_value), (transMetricLabel, self._transMetric_value)] else: smoke = [(mixLabel, self._mixingHeight_value), (transLabel, self._trans_value)] trans = [(transLabel, self._trans_value)] else: # Baseline if self._includeMetricDispersion == "yes": smoke = [(mixLabel, self._mixingHeight_value), (mixMetricLabel, self._mixingHeightMetric_value), (transDirLabel, self._transDir_value), (transSpdLabel, self._transSpd_value), (transSpdMetricLabel, self._transSpdMetric_value)] trans = [(transDirLabel, self._transDir_value), (transSpdLabel, self._transSpd_value), (transSpdMetricLabel, self._transSpdMetric_value)] else: smoke = [(mixLabel, self._mixingHeight_value), (transDirLabel, self._transDir_value), (transSpdLabel, self._transSpd_value)] trans = [(transDirLabel, self._transDir_value), (transSpdLabel, self._transSpd_value)] if self._includeMetricDispersion == "yes": mix = [(mixLabel, self._mixingHeight_value), (mixMetricLabel, self._mixingHeightMetric_value)] else: mix = [(mixLabel, self._mixingHeight_value)] return [ # Set to Directive requirements # Each entry is a tuple: # (Narrative Element, narrativeToo, tableRows) # # If narrativeToo is 1, then the narrative phrase will be included # in the narrative portion of the product as well. # tableRows is a list of (label:method) pairs. # ("Sky/weather" , 1, [("Sky (%).........", self._sky_value), ("Weather cov.....", self._weatherCov_value), ("Weather type....", self._weatherType_value), ]), ("TEMPERATURE" , 1,[("Temp............", self._temp_value)]), ("HUMIDITY" , 1,[("RH..............", self._rh_value)]), ("20 FOOT WINDS" , 1, wind), ("Eye level winds" , 1, eyewind), ("RIDGE TOP WIND" , 1, ridge), ("SMOKE DISPERSION" , 1, smoke), ("Mixing height" , 1, mix), ("Transport winds" , 1, trans), ("DISPERSION INDEX" , 1,[("Dispersion......", self._dsi_value)]), ("LDSI" , 1,[("Dispersion idx..", self._ldsi_value)]), ("LVORI" , 1,[("LVORI...........", self._lvori_value)]), ("CWR" , 1,[("CWR.............", self._cwr_value)]), ("POP" , 1,[("Chc of pcpn (%).", self._pop_value)]), ("LIGHTNING ACTIVITY LEVEL", 1,[("LAL.............", self._lal_value)]), ("Haines Index" , 1,[("Haines Index....", self._haines_value)]), ] def _ldsi_value(self, statDict, timeRange, argList): tree, node, colWidth = tuple(argList) dsi = self._getTableStats(tree, "DSI", timeRange, node.getAreaLabel()) #dsi = self._getTableStats(tree, "LDSI", timeRange, node.getAreaLabel()) if dsi is None: return "M" return `int(dsi + 0.5)` def _lvori_value(self, statDict, timeRange, argList): tree, node, colWidth = tuple(argList) lvori = self._getTableStats(tree, "DSI", timeRange, node.getAreaLabel()) #lvori = self._getTableStats(tree, "LVORI", timeRange, node.getAreaLabel()) if lvori is None: return "M" return `int(lvori + 0.5)` def ldsi_setUp(self, tree, node): elementInfoList = [self.ElementInfo("DSI", "List")] #elementInfoList = [self.ElementInfo("LDSI", "List")] self.subPhraseSetUp(tree, node, elementInfoList, self.scalarConnector) node.set("descriptor", "") node.set("indentLabel", "LDSI................") return self.DONE() def ldsi_words(self, tree, node): "Create phrase Probability of Precipitation" statDict = node.getStatDict() ldsi = self.getStats(statDict, "DSI") #ldsi = self.getStats(statDict, "LDSI") if ldsi is None: return self.setWords(node.parent, "MISSING") ldsi = self.getValue(ldsi) words = `int(ldsi + 0.5)` return self.setWords(node, words) def lvori_setUp(self, tree, node): elementInfoList = [self.ElementInfo("DSI", "List")] #elementInfoList = [self.ElementInfo("LVORI", "List")] self.subPhraseSetUp(tree, node, elementInfoList, self.scalarConnector) node.set("descriptor", "") node.set("indentLabel", "LVORI...............") return self.DONE() def lvori_words(self, tree, node): statDict = node.getStatDict() #lvori = self.getStats(statDict, "LVORI") lvori = self.getStats(statDict, "DSI") if lvori is None: return self.setWords(node.parent, "MISSING") lvori = self.getValue(lvori) words = `int(lvori + 0.5)` return self.setWords(node, words) """ definitions = """ Definition["useRH"] = 1 Definition["tabularAllPeriods"] = 'no' Definition["shortTermOnly"] = 0 Definition["tempLocalEffects"] = 1 Definition["windLocalEffects"] = 1 Definition["includeCreationTimeOnGUI"] = 0 Definition["withIgnitionTimes"] = "no" Definition["tableStartTimeOffset"] = 0 Definition["elementFormatDict"] = { "Sky" : "alpha", #"numeric", "Wind": "numeric", #"alpha", "EyeWind": "numeric", #"alpha", "RidgeWind": "numeric",#"alpha", "TransWind": "numeric",#"alpha", "TransMetWind": "numeric",#"alpha", } Definition["tabularMixingHeightUnits"] = "kft" Definition["transportWindLabel"] = "mix" Definition["includeMetricDispersion"] = "yes" Definition["20ftWindParm"] = "Wind20ft" Definition["wind20ftHeader"] = 1 Definition["tableWindElementSplit"] = "yes" Definition["tableEyeWindElementSplit"] = "yes" Definition["tableRidgeElementSplit"] = "yes" Definition["tableTransElementSplit"] = "yes" Definition["cwrParm"] = "CWR" """ definition1 = """ Definition["tableStartTimeMode"] = "current" """ definition2 = """ Definition["tableStartTimeMode"] = "productStart" """ definition0 = """ Definition["cwrParm"] = "CWR" """ definition3 = """ Definition["elementFormatDict"]["Sky"] = "alpha" """ definition4 = """ Definition["agencyList"] = [ (1,"Agency 1"), (2,"WFO Billings"), ] """ scripts = [ { "name":"FWS_Init", "commentary": "Clean out grids", "productType": None, "deleteGrids": [ ("Fcst", "PoP", "SFC", -24, 240), ("Fcst", "MaxT", "SFC", -24, 280), ("Fcst", "MinT", "SFC", -24, 240), ("Fcst", "T", "SFC", -24, 240), ("Fcst", "Td", "SFC", -24, 240), ("Fcst", "WindChill", "SFC", -24, 240), ("Fcst", "HeatIndex", "SFC", -24, 240), ("Fcst", "Wind", "SFC", -24, 240), ("Fcst", "Sky", "SFC", -24, 240), ("Fcst", "WindGust", "SFC", -24, 240), ("Fcst", "Wx", "SFC", -24, 240), ("Fcst", "QPF", "SFC", -24, 240), ("Fcst", "SnowAmt", "SFC", -24, 240), ("Fcst", "MaxRH", "SFC", -24, 240), ("Fcst", "MinRH", "SFC", -24, 280), ("Fcst", "TransWind", "SFC", -24, 240), ("Fcst", "FreeWind", "SFC", -24, 240), ("Fcst", "LAL", "SFC", -24, 240), ("Fcst", "CWR", "SFC", -24, 240), ("Fcst", "Haines", "SFC", -24, 240), ("Fcst", "MixHgt", "SFC", -24, 240), ("Fcst", "Wind20ft", "SFC", -24, 240), ("Fcst", "VentRate", "SFC", -24, 240), ("Fcst", "MarineLayer", "SFC", -24, 240), ("Fcst", "Stability", "SFC", -24, 240), ("Fcst", "HrsOfSun", "SFC", -24, 240), ("Fcst", "DSI", "SFC", -24, 240), ("Fcst", "RHtrend", "SFC", -24, 240), ("Fcst", "Ttrend", "SFC", -24, 240), ] }, { "name":"FWS_1", "productType":"FWS", "commentary": "Morning Issuance", "createGrids": FWS_createGrids, "fileChanges":[ ("FWS_<site>_Overrides", "TextUtility", "add", testOverrides, "undo"), ("FWS_<site>_Definition", "TextUtility", "add", definition0, "undo"), ], "cmdLineVars": "{('Product Issuance:', 'productIssuance'): 'Morning', ('Issued By', 'issuedBy'): None, ('Agency:', 'requestingAgency'): 'Agency 1', ('Tomorrow Elements', 'tomorrowElements'): ['Sky/weather', 'Begin/end of pcpn', 'TEMPERATURE', 'HUMIDITY', 'DEWPOINT', '20 FOOT WINDS', 'Eye level winds', 'WIND SHIFT', 'RIDGE TOP WIND', 'SURROUNDING RIDGE', 'CWR', 'POP', 'LIGHTNING ACTIVITY LEVEL', 'SMOKE DISPERSION', 'Mixing height', 'Transport winds', 'LDSI', 'LVORI', 'DISPERSION INDEX', 'CLEARING INDEX', 'STABILITY CLASS', 'Marine layer', 'Haines Index'], ('Fire Longitude (Deg)...................', 'fireLongitude'): 82.19, ('WebSiteTag:', 'webSiteTag'): '', ('Check Items to Include:', 'extendedQuestions'): [], ('Forecaster:', 'forecaster'): ['FORECASTER C'], ('Type of Fire:', 'fireType'): 'PRESCRIBED', ('Name of Agency Contact..........', 'agencyContact'): 'yyyy', ('Today Elements', 'todayElements'): ['Sky/weather', 'Begin/end of pcpn', 'TEMPERATURE', 'HUMIDITY', 'DEWPOINT', '20 FOOT WINDS', 'Eye level winds', 'WIND SHIFT', 'RIDGE TOP WIND', 'SURROUNDING RIDGE', 'CWR', 'POP', 'LIGHTNING ACTIVITY LEVEL', 'SMOKE DISPERSION', 'Mixing height', 'Transport winds', 'LDSI', 'LVORI', 'DISPERSION INDEX', 'CLEARING INDEX', 'STABILITY CLASS', 'Marine layer', 'Haines Index'], ('Fire Latitude (Deg).......................', 'fireLatitude'): 28.27, ('WFOid:', 'wfoID'): '', ('Fire Size (Acres) .........................', 'fireSize'): .005, ('Name of Fire ...................................', 'fireName'): 'xxxx', ('Tonight Elements', 'tonightElements'): ['Sky/weather', 'Begin/end of pcpn', 'TEMPERATURE', 'HUMIDITY', 'DEWPOINT', '20 FOOT WINDS', 'Eye level winds', 'WIND SHIFT', 'RIDGE TOP WIND', 'SURROUNDING RIDGE', 'CWR', 'POP', 'LIGHTNING ACTIVITY LEVEL', 'SMOKE DISPERSION', 'Mixing height', 'Transport winds', 'LDSI', 'LVORI', 'DISPERSION INDEX', 'CLEARING INDEX', 'STABILITY CLASS', 'Marine layer', 'Haines Index'], ('Creation Date', 'creationDate'): '', ('Creation Time', 'creationTime'): '', ('What Type of Forecast?', 'forecastType'): 'Tabular/Narrative', ('Include Ignition Times?', 'withIgnitionTimes'): 'yes', ('Name of Agency if not listed....', 'otherAgencyName'): 'xxxx', ('Date of Fire .....................................', 'fireDate'): '1/1/10', ('Time of Fire .....................................', 'fireTime'): '1300', ('Tab Hrs', 'todayTableRes'): 1, ('Tab Hrs', 'tonightTableRes'): 2, ('Tab Hrs', 'tomorrowTableRes'): 3, ('TimeZone:', 'fireTZ'): 'EST5EDT'}", "checkStrings": [ "FNUS72 KTBW 010900", "FWSTBW", "Spot Forecast for xxxx...Agency 1", "National Weather Service Tampa Bay Ruskin FL", "400 AM EST Fri Jan 1 2010", "Forecast is based on ignition time of 1300 EST on January 01.", "If conditions become unrepresentative, contact the National Weather Service.", ".DISCUSSION...", ".TODAY...", "Sky/weather.........Cloudy (95-100 percent). Patchy dense fog.", "Begin/end of pcpn...", "Temperature.........100 at ignition...Max 78.", "RH..................100 percent at ignition...Min 65 percent.", "Dewpoint............100.", "Wind (20 ft)........Winds southwest at 9 mph at ignition, otherwise North winds around 6 mph with gusts to around 30 mph.", "Eye level winds.....North winds around 6 mph.", "Wind shift..........", "Ridgetop wind.......Southwest around 10 mph.", "Surrounding ridge...Southwest around 10 mph.", "CWR.................0 percent.", "Chance of pcpn......0 percent.", "LAL.................1.", "Mixing height.......100 ft AGL at ignition, otherwise 100 ft AGL.", "Transport winds.....Southwest around 12 mph.", "Mixing height.......100 ft AGL at ignition, otherwise 100 ft AGL.", "Transport winds.....Southwest around 12 mph.", "Dispersion index....0.", "LVORI...............0.", "Dispersion..........0. ", "Smoke dispersal.....Excellent /160000 knot-ft/ at ignition. Max...excellent /160000 knot-ft/.", "Stability class.....1.", "Marine layer........1000.", "Haines Index........2 or very low potential for large plume dominated fire growth at ignition...max 2.", "Time (EST) 1PM 2PM 3PM 4PM 5PM", "Sky (%).........100 100 100 100 100", "Weather cov.....PTY PTY PTY PTY PTY", "Weather type....FOG FOG FOG FOG FOG ", "Temp............100 100 100 100 100", "RH..............100 100 100 100 100", "20 ft wind dir..SW SW SW SW SW ", "20 ft wind spd..7 7 7 7 7 ", "20 ft wind gust.30 30 30 30 30 ", "Eye lvl wnd dir.SW SW SW SW SW", "Eye lvl wnd spd.7 7 7 7 7 ", "Eye lvl wnd gst.30 30 30 30 30 ", "Ridge wnd dir..SW SW SW SW SW", "Ridge wnd spd..10 10 10 10 10", "Mix hgt (kft)...0.1 0.1 0.1 0.1 0.1 ", "Transp wind dir.SW SW SW SW SW ", "Transp wind spd.12 12 12 12 12", "Mix hgt (kft)...0.1 0.1 0.1 0.1 0.1 ", "Transp wind dir.SW SW SW SW SW", "Transp wind spd.12 12 12 12 12", "Dispersion......0 0 0 0 0 ", "Dispersion idx..0 0 0 0 0 ", "LVORI...........0 0 0 0 0 ", "CWR.............0 0 0 0 0", "Chc of pcpn (%).0 0 0 0 0", "LAL.............1 1 1 1 1", "Haines Index....2 2 2 2 2", ".TONIGHT...", "Sky/weather.........Cloudy (90-100 percent). Widespread thunderstorms.", "Begin/end of pcpn...", "Temperature.........Min 60.", "RH..................Max 78 percent.", "Dewpoint............95.", "Wind (20 ft)........Very windy. Northeast winds around 46 mph.", "Eye level winds.....Very windy. Northeast winds around 46 mph.", "Wind shift..........", "Ridgetop wind.......West around 5 mph.", "Surrounding ridge...West around 5 mph.", "CWR.................20 percent.", "Chance of pcpn......90 percent.", "LAL.................2.", "Mixing height.......100 ft AGL.", "Transport winds.....West around 6 mph.", "Mixing height.......100 ft AGL.", "Transport winds.....West around 6 mph.", "Dispersion index....2.", "LVORI...............2.", "Dispersion..........2.", "Smoke dispersal.....Excellent (100000 knot-ft).", "Stability class.....2.", "Marine layer........1000.", "Haines Index........3 or very low potential for large plume dominated fire growth.", "Time (EST) 6 PM 8 PM 10 PM Midngt 2 AM 4 AM", "Sky (%).........95 95 95 95 95 95", "Weather cov.....WIDSPD WIDSPD WIDSPD WIDSPD WIDSPD WIDSPD ", "Weather type....TSTORM TSTORM TSTORM TSTORM TSTORM TSTORM ", "Temp............95 95 95 95 95 95", "RH..............95 95 95 95 95 95", "20 ft wind......SE 30 SE 30 SE 30 SE 30 SE 30 SE 30 ", "20 ft wind gust.", "Eye level wind..SE 30 SE 30 SE 30 SE 30 SE 30 SE 30", "Eye level wind..", "Ridgetop wind...W 5 W 5 W 5 W 5 W 5 W 5", "Mix hgt (ft)....100 100 100 100 100 100", "Transport wind..W 6 W 6 W 6 W 6 W 6 W 6", "Mix hgt (ft)....100 100 100 100 100 100", "Transport wind..W 6 W 6 W 6 W 6 W 6 W 6", "Dispersion......2 2 2 2 2 2", "Dispersion idx..2 2 2 2 2 2", "LVORI...........2 2 2 2 2 2", "CWR.............20 20 20 20 20 20", "Chc of pcpn (%).90 90 90 90 90 90", "LAL.............2 2 2 2 2 2", "Haines Index....3 3 3 3 3 3", ".SATURDAY...", "Sky/weather.........Sunny (0-5 percent). Chance of rain showers.", "Begin/end of pcpn...", "Temperature.........Max 79.", "RH..................Min 68 percent.", "Dewpoint............0.", "Wind (20 ft)........Northwest winds around 12 mph.", "Eye level winds.....Northwest winds around 12 mph.", "Wind shift..........", "Ridgetop wind.......Northwest around 10 mph.", "Surrounding ridge...Northwest around 10 mph.", "CWR.................30 percent.", "Chance of pcpn......90 percent.", "LAL.................1.", "Mixing height.......100 ft AGL.", "Transport winds.....Northwest around 12 mph.", "Mixing height.......100 ft AGL.", "Transport winds.....Northwest around 12 mph.", "Dispersion index....6.", "LVORI...............6.", "Dispersion..........6.", "Smoke dispersal.....Good (50000 knot-ft).", "Stability class.....1.", "Marine layer........2000.", "Haines Index........4 or low potential for large plume dominated fire growth.", "Time (EST) 6 AM 9 AM Noon 3 PM", "Sky (%).........0 0 0 0 ", "Weather cov.....CHANCE CHANCE CHANCE CHANCE ", "Weather type....RNSHWR RNSHWR RNSHWR RNSHWR", "Temp............0 0 0 0", "RH..............0 0 0 0", "20 ft wind......NW 26 NW 26 NW 26 NW 26", "Eye level wind..NW 26 NW 26 NW 26 NW 26", "Ridgetop wind...NW 10 NW 10 NW 10 NW 10", "Mix hgt (ft)....100 100 100 100", "Transport wind..NW 12 NW 12 NW 12 NW 12", "Mix hgt (ft)....100 100 100 100", "Transport wind..NW 12 NW 12 NW 12 NW 12", "Dispersion......6 6 6 6 ", "Dispersion idx..6 6 6 6", "LVORI...........6 6 6 6 ", "CWR.............30 30 30 30", "Chc of pcpn (%).90 90 90 90", "LAL.............3 3 3 3 ", "Haines Index....4 4 4 4", "$$", "FORECASTER...Forecaster C", "Requested by...YYYY", "Type of request...Prescribed", ] }, { "name":"FWS_2", "productType":"FWS", "commentary": "Morning Update", "fileChanges":[ ("FWS_<site>_Overrides", "TextUtility", "add", testOverrides, "undo"), ("FWS_<site>_Definition", "TextUtility", "add", definition0, "undo"), ], "createGrids": FWS_createGrids, "cmdLineVars": "{('Product Issuance:', 'productIssuance'): 'Morning Update', ('Issued By', 'issuedBy'): None, ('Agency:', 'requestingAgency'): 'Agency 1', ('Tomorrow Elements', 'tomorrowElements'): ['Sky/weather', 'Begin/end of pcpn', 'TEMPERATURE', 'HUMIDITY', 'DEWPOINT', '20 FOOT WINDS', 'Eye level winds', 'WIND SHIFT', 'RIDGE TOP WIND', 'SURROUNDING RIDGE', 'CWR', 'POP', 'LIGHTNING ACTIVITY LEVEL', 'SMOKE DISPERSION', 'Mixing height', 'Transport winds', 'LDSI', 'LVORI', 'DISPERSION INDEX', 'CLEARING INDEX', 'STABILITY CLASS', 'Marine layer', 'Haines Index'], ('Fire Longitude (Deg)...................', 'fireLongitude'): 82.19, ('WebSiteTag:', 'webSiteTag'): '', ('Check Items to Include:', 'extendedQuestions'): [], ('Forecaster:', 'forecaster'): ['FORECASTER C'], ('Type of Fire:', 'fireType'): 'PRESCRIBED', ('Name of Agency Contact..........', 'agencyContact'): 'yyyy', ('Today Elements', 'todayElements'): ['Sky/weather', 'Begin/end of pcpn', 'TEMPERATURE', 'HUMIDITY', 'DEWPOINT', '20 FOOT WINDS', 'Eye level winds', 'WIND SHIFT', 'RIDGE TOP WIND', 'SURROUNDING RIDGE', 'CWR', 'POP', 'LIGHTNING ACTIVITY LEVEL', 'SMOKE DISPERSION', 'Mixing height', 'Transport winds', 'LDSI', 'LVORI', 'DISPERSION INDEX', 'CLEARING INDEX', 'STABILITY CLASS', 'Marine layer', 'Haines Index'], ('Fire Latitude (Deg).......................', 'fireLatitude'): 28.27, ('WFOid:', 'wfoID'): '', ('Fire Size (Acres) .........................', 'fireSize'): .005, ('Name of Fire ...................................', 'fireName'): 'xxxx', ('Tonight Elements', 'tonightElements'): ['Sky/weather', 'Begin/end of pcpn', 'TEMPERATURE', 'HUMIDITY', 'DEWPOINT', '20 FOOT WINDS', 'Eye level winds', 'WIND SHIFT', 'RIDGE TOP WIND', 'SURROUNDING RIDGE', 'CWR', 'POP', 'LIGHTNING ACTIVITY LEVEL', 'SMOKE DISPERSION', 'Mixing height', 'Transport winds', 'LDSI', 'LVORI', 'DISPERSION INDEX', 'CLEARING INDEX', 'STABILITY CLASS', 'Marine layer', 'Haines Index'], ('Creation Date', 'creationDate'): '', ('Creation Time', 'creationTime'): '', ('What Type of Forecast?', 'forecastType'): 'Tabular/Narrative', ('Include Ignition Times?', 'withIgnitionTimes'): 'yes', ('Name of Agency if not listed....', 'otherAgencyName'): 'xxxx', ('Date of Fire .....................................', 'fireDate'): '1/1/10', ('Time of Fire .....................................', 'fireTime'): '1300', ('Tab Hrs', 'todayTableRes'): 2, ('Tab Hrs', 'tonightTableRes'): 3, ('Tab Hrs', 'tomorrowTableRes'): 4, ('TimeZone:', 'fireTZ'): 'EST5EDT'}", "drtHour": 10, "checkStrings": [ "Forecast is based on ignition time of 1300 EST on January 01.", "If conditions become unrepresentative, contact the National Weather Service.", ".REST OF TODAY...", "Sky/weather.........Cloudy (95-100 percent). Patchy dense fog.", "Begin/end of pcpn...", "Temperature.........100 at ignition...Max 78.", "RH..................100 percent at ignition...Min 65 percent.", "Dewpoint............100.", "Wind (20 ft)........Winds southwest at 9 mph at ignition, otherwise North winds around 6 mph with gusts to around 30 mph.", "Eye level winds.....North winds around 6 mph.", "Wind shift..........", "Ridgetop wind.......Southwest around 10 mph.", "Surrounding ridge...Southwest around 10 mph.", "CWR.................0 percent.", "Chance of pcpn......0 percent.", "LAL.................1.", "Mixing height.......100 ft AGL at ignition, otherwise 100 ft AGL.", "Transport winds.....Southwest around 12 mph.", "Mixing height.......100 ft AGL at ignition, otherwise 100 ft AGL.", "Transport winds.....Southwest around 12 mph.", "Dispersion index....0.", "LVORI...............0.", "Dispersion..........0.", "Smoke dispersal.....Excellent /160000 knot-ft/ at ignition. Max...excellent /160000 knot-ft/.", "Stability class.....1.", "Marine layer........1000.", "Haines Index........2 or very low potential for large plume dominated fire growth at ignition...max 2.", "Time (EST) 1 PM 3 PM 5 PM", "Sky (%).........100 100 100", "Weather cov.....PATCHY PATCHY PATCHY", "Weather type....FOG FOG FOG", "Temp............100 100 100", "RH..............100 100 100", "20 ft wind......SW 7 SW 7 SW 7", "20 ft wind gust.30 30 30", "Eye level wind..SW 7 SW 7 SW 7", "Eye level wind..30 30 30", "Ridgetop wind...SW 10 SW 10 SW 10", "Mix hgt (ft)....100 100 100", "Transport wind..SW 12 SW 12 SW 12", "Mix hgt (ft)....100 100 100", "Transport wind..SW 12 SW 12 SW 12", "Dispersion......0 0 0", "Dispersion idx..0 0 0", "LVORI...........0 0 0", "CWR.............0 0 0", "Chc of pcpn (%).0 0 0", "LAL.............1 1 1", "Haines Index....2 2 2", ".TONIGHT...", "Sky/weather.........Cloudy (90-100 percent). Widespread thunderstorms.", "Begin/end of pcpn...", "Temperature.........Min 60.", "RH..................Max 78 percent.", "Dewpoint............95.", "Wind (20 ft)........Very windy. Northeast winds around 46 mph.", "Eye level winds.....Very windy. Northeast winds around 46 mph.", "Wind shift..........", "Ridgetop wind.......West around 5 mph.", "Surrounding ridge...West around 5 mph.", "CWR.................20 percent.", "Chance of pcpn......90 percent.", "LAL.................2.", "Mixing height.......100 ft AGL.", "Transport winds.....West around 6 mph.", "Mixing height.......100 ft AGL.", "Transport winds.....West around 6 mph.", "Dispersion index....2.", "LVORI...............2.", "Dispersion..........2.", "Smoke dispersal.....Excellent (100000 KNOT-ft).", "Stability class.....2.", "Marine layer........1000.", "Haines Index........3 or very low potential for large plume dominated fire growth.", "Time (EST) 6 PM 9 PM Midngt 3 AM", "Sky (%).........95 95 95 95", "Weather cov.....WIDSPD WIDSPD WIDSPD WIDSPD", "Weather type....TSTORM TSTORM TSTORM TSTORM", "Temp............95 95 95 95", "RH..............95 95 95 95", "20 ft wind......SE 30 SE 30 SE 30 SE 30", "Eye level wind..SE 30 SE 30 SE 30 SE 30", "Ridgetop wind...W 5 W 5 W 5 W 5", "Mix hgt (ft)....100 100 100 100", "Transport wind..W 6 W 6 W 6 W 6", "Mix hgt (ft)....100 100 100 100", "Transport wind..W 6 W 6 W 6 W 6", "Dispersion......2 2 2 2", "Dispersion idx..2 2 2 2", "LVORI...........2 2 2 2", "CWR.............20 20 20 20", "Chc of pcpn (%).90 90 90 90", "LAL.............2 2 2 2", "Haines Index....3 3 3 3", ".SATURDAY...", "Sky/weather.........Sunny (0-5 percent). Chance of rain showers.", "Begin/end of pcpn...", "Temperature.........Max 79.", "RH..................Min 68 percent.", "Dewpoint............0.", "Wind (20 ft)........Northwest winds around 12 mph.", "Eye level winds.....Northwest winds around 12 mph.", "Wind shift..........", "Ridgetop wind.......Northwest around 10 mph.", "Surrounding ridge...Northwest around 10 mph.", "CWR.................30 percent.", "Chance of pcpn......90 percent.", "LAL.................1.", "Mixing height.......100 ft AGL.", "Transport winds.....Northwest around 12 mph.", "Mixing height.......100 ft AGL.", "Transport winds.....Northwest around 12 mph.", "Dispersion index....6.", "LVORI...............6.", "Dispersion..........6.", "Smoke dispersal.....Good (50000 knot-ft).", "Stability class.....1.", "Marine layer........2000.", "Haines Index........4 or low potential for large plume dominated fire growth.", "Time (EST) 6 AM 10 AM 2 PM", "Sky (%).........0 0 0", "Weather cov.....CHANCE CHANCE CHANCE", "Weather type....RNSHWR RNSHWR RNSHWR", "Temp............0 0 0", "RH..............0 0 0", "20 ft wind......NW 26 NW 26 NW 26", "Eye level wind..NW 26 NW 26 NW 26", "Ridgetop wind...NW 10 NW 10 NW 10", "Mix hgt (ft)....100 100 100", "Transport wind..NW 12 NW 12 NW 12", "Mix hgt (ft)....100 100 100", "Transport wind..NW 12 NW 12 NW 12", "Dispersion......6 6 6", "Dispersion idx..6 6 6", "LVORI...........6 6 6", "CWR.............30 30 30", "Chc of pcpn (%).90 90 90", "LAL.............3 3 3", "Haines Index....4 4 4", "$$", "FORECASTER...Forecaster C", "Requested by...YYYY", "Type of request...Prescribed", ], }, { "name":"FWS_3", "productType":"FWS", "commentary": "Afternoon Issuance", "fileChanges":[ ("FWS_<site>_Overrides", "TextUtility", "add", testOverrides, "undo"), ("FWS_<site>_Definition", "TextUtility", "add", definition0, "undo"), ], "createGrids": FWS_createGrids, "cmdLineVars": "{('Product Issuance:', 'productIssuance'): 'Afternoon', ('Issued By', 'issuedBy'): None, ('Agency:', 'requestingAgency'): 'Agency 1', ('Tomorrow Elements', 'tomorrowElements'): ['Sky/weather', 'Begin/end of pcpn', 'TEMPERATURE', 'HUMIDITY', 'DEWPOINT', '20 FOOT WINDS', 'Eye level winds', 'WIND SHIFT', 'RIDGE TOP WIND', 'SURROUNDING RIDGE', 'CWR', 'POP', 'LIGHTNING ACTIVITY LEVEL', 'SMOKE DISPERSION', 'Mixing height', 'Transport winds', 'LDSI', 'LVORI', 'DISPERSION INDEX', 'CLEARING INDEX', 'STABILITY CLASS', 'Marine layer', 'Haines Index'], ('Fire Longitude (Deg)...................', 'fireLongitude'): 82.19, ('WebSiteTag:', 'webSiteTag'): '', ('Check Items to Include:', 'extendedQuestions'): [], ('Forecaster:', 'forecaster'): ['FORECASTER C'], ('Type of Fire:', 'fireType'): 'PRESCRIBED', ('Name of Agency Contact..........', 'agencyContact'): 'yyyy', ('Today Elements', 'todayElements'): ['Sky/weather', 'Begin/end of pcpn', 'TEMPERATURE', 'HUMIDITY', 'DEWPOINT', '20 FOOT WINDS', 'Eye level winds', 'WIND SHIFT', 'RIDGE TOP WIND', 'SURROUNDING RIDGE', 'CWR', 'POP', 'LIGHTNING ACTIVITY LEVEL', 'SMOKE DISPERSION', 'Mixing height', 'Transport winds', 'LDSI', 'LVORI', 'DISPERSION INDEX', 'CLEARING INDEX', 'STABILITY CLASS', 'Marine layer', 'Haines Index'], ('Fire Latitude (Deg).......................', 'fireLatitude'): 28.27, ('WFOid:', 'wfoID'): '', ('Fire Size (Acres) .........................', 'fireSize'): .005, ('Name of Fire ...................................', 'fireName'): 'xxxx', ('Tonight Elements', 'tonightElements'): ['Sky/weather', 'Begin/end of pcpn', 'TEMPERATURE', 'HUMIDITY', 'DEWPOINT', '20 FOOT WINDS', 'Eye level winds', 'WIND SHIFT', 'RIDGE TOP WIND', 'SURROUNDING RIDGE', 'CWR', 'POP', 'LIGHTNING ACTIVITY LEVEL', 'SMOKE DISPERSION', 'Mixing height', 'Transport winds', 'LDSI', 'LVORI', 'DISPERSION INDEX', 'CLEARING INDEX', 'STABILITY CLASS', 'Marine layer', 'Haines Index'], ('Creation Date', 'creationDate'): '', ('Creation Time', 'creationTime'): '', ('What Type of Forecast?', 'forecastType'): 'Tabular/Narrative', ('Include Ignition Times?', 'withIgnitionTimes'): 'yes', ('Name of Agency if not listed....', 'otherAgencyName'): 'xxxx', ('Date of Fire .....................................', 'fireDate'): '1/1/10', ('Time of Fire .....................................', 'fireTime'): '1300', ('Tab Hrs', 'todayTableRes'): 1, ('Tab Hrs', 'tonightTableRes'): 2, ('Tab Hrs', 'tomorrowTableRes'): 3, ('TimeZone:', 'fireTZ'): 'EST5EDT'}", "checkStrings": [ "Forecast is based on ignition time of 1300 EST on January 01.", "If conditions become unrepresentative, contact the National Weather Service.", ".DISCUSSION...", ".TONIGHT...", "Sky/weather.........Cloudy (90-100 percent). Widespread thunderstorms.", "Begin/end of pcpn...", "Temperature.........Min 60.", "RH..................Max 78 percent.", "Dewpoint............95.", "Wind (20 ft)........Very windy. Northeast winds around 46 mph.", "Eye level winds.....Very windy. Northeast winds around 46 mph.", "Wind shift..........", "Ridgetop wind.......West around 5 mph.", "Surrounding ridge...West around 5 mph.", "CWR.................20 percent.", "Chance of pcpn......90 percent.", "LAL.................2.", "Mixing height.......100 ft AGL.", "Transport winds.....West around 6 mph.", "Mixing height.......100 ft AGL.", "Transport winds.....West around 6 mph.", "Dispersion index....2.", "LVORI...............2.", "Dispersion..........2.", "Smoke dispersal.....Excellent (100000 knot-ft).", "Stability class.....2.", "Marine layer........1000.", "Haines Index........3 or very low potential for large plume dominated fire growth.", "Time (EST) 6 PM 8 PM 10 PM Midngt 2 AM 4 AM", "Sky (%).........95 95 95 95 95 95", "Weather cov.....WIDSPD WIDSPD WIDSPD WIDSPD WIDSPD WIDSPD", "Weather type....TSTORM TSTORM TSTORM TSTORM TSTORM TSTORM", "Temp............95 95 95 95 95 95", "RH..............95 95 95 95 95 95", "20 ft wind......SE 30 SE 30 SE 30 SE 30 SE 30 SE 30", "20 ft wind gust.", "Eye level wind..SE 30 SE 30 SE 30 SE 30 SE 30 SE 30", "Eye level wind..", "Ridgetop wind...W 5 W 5 W 5 W 5 W 5 W 5", "Mix hgt (ft)....100 100 100 100 100 100", "Transport wind..W 6 W 6 W 6 W 6 W 6 W 6", "Mix hgt (ft)....100 100 100 100 100 100", "Transport wind..W 6 W 6 W 6 W 6 W 6 W 6", "Dispersion......2 2 2 2 2 2", "Dispersion idx..2 2 2 2 2 2", "LVORI...........2 2 2 2 2 2", "CWR.............20 20 20 20 20 20", "Chc of pcpn (%).90 90 90 90 90 90", "LAL.............2 2 2 2 2 2", "Haines Index....3 3 3 3 3 3", ".SATURDAY...", "Sky/weather.........Sunny (0-5 percent). Chance of rain showers.", "Begin/end of pcpn...", "Temperature.........Max 79.", "RH..................Min 68 percent.", "Dewpoint............0.", "Wind (20 ft)........Northwest winds around 12 mph.", "Eye level winds.....Northwest winds around 12 mph.", "Wind shift..........", "Ridgetop wind.......Northwest around 10 mph.", "Surrounding ridge...Northwest around 10 mph.", "CWR.................30 percent.", "Chance of pcpn......90 percent.", "LAL.................1.", "Mixing height.......100 ft AGL.", "Transport winds.....Northwest around 12 mph.", "Mixing height.......100 ft AGL.", "Transport winds.....Northwest around 12 mph.", "Dispersion index....6.", "LVORI...............6.", "Dispersion..........6.", "Smoke dispersal.....Good (50000 knot-ft).", "Stability class.....1.", "Marine layer........2000.", "Haines Index........4 or low potential for large plume dominated fire growth.", "Time (EST) 6 AM 9 AM Noon 3 PM", "Sky (%).........0 0 0 0", "Weather cov.....CHANCE CHANCE CHANCE CHANCE", "Weather type....RNSHWR RNSHWR RNSHWR RNSHWR", "Temp............0 0 0 0", "RH..............0 0 0 0", "20 ft wind......NW 26 NW 26 NW 26 NW 26", "Eye level wind..NW 26 NW 26 NW 26 NW 26", "Ridgetop wind...NW 10 NW 10 NW 10 NW 10", "Mix hgt (ft)....100 100 100 100", "Transport wind..NW 12 NW 12 NW 12 NW 12", "Mix hgt (ft)....100 100 100 100", "Transport wind..NW 12 NW 12 NW 12 NW 12", "Dispersion......6 6 6 6", "Dispersion idx..6 6 6 6", "LVORI...........6 6 6 6", "CWR.............30 30 30 30", "Chc of pcpn (%).90 90 90 90", "LAL.............3 3 3 3", "Haines Index....4 4 4 4", "$$", "FORECASTER...Forecaster C", "Requested by...YYYY", "Type of request...Prescribed", ], }, { "name":"FWS_4", "productType":"FWS", "commentary": "Early Morning Update", "fileChanges":[ ("FWS_<site>_Overrides", "TextUtility", "add", testOverrides, "undo"), ("FWS_<site>_Definition", "TextUtility", "add", definition0, "undo"), ], "createGrids": FWS_createGrids, "cmdLineVars": "{('Product Issuance:', 'productIssuance'): 'Early Morning Update', ('Issued By', 'issuedBy'): None, ('Agency:', 'requestingAgency'): 'Agency 1', ('Tomorrow Elements', 'tomorrowElements'): ['Sky/weather', 'Begin/end of pcpn', 'TEMPERATURE', 'HUMIDITY', 'DEWPOINT', '20 FOOT WINDS', 'Eye level winds', 'WIND SHIFT', 'RIDGE TOP WIND', 'SURROUNDING RIDGE', 'CWR', 'POP', 'LIGHTNING ACTIVITY LEVEL', 'SMOKE DISPERSION', 'Mixing height', 'Transport winds', 'LDSI', 'LVORI', 'DISPERSION INDEX', 'CLEARING INDEX', 'STABILITY CLASS', 'Marine layer', 'Haines Index'], ('Fire Longitude (Deg)...................', 'fireLongitude'): 82.19, ('WebSiteTag:', 'webSiteTag'): '', ('Check Items to Include:', 'extendedQuestions'): [], ('Forecaster:', 'forecaster'): ['FORECASTER C'], ('Type of Fire:', 'fireType'): 'PRESCRIBED', ('Name of Agency Contact..........', 'agencyContact'): 'yyyy', ('Today Elements', 'todayElements'): ['Sky/weather', 'Begin/end of pcpn', 'TEMPERATURE', 'HUMIDITY', 'DEWPOINT', '20 FOOT WINDS', 'Eye level winds', 'WIND SHIFT', 'RIDGE TOP WIND', 'SURROUNDING RIDGE', 'CWR', 'POP', 'LIGHTNING ACTIVITY LEVEL', 'SMOKE DISPERSION', 'Mixing height', 'Transport winds', 'LDSI', 'LVORI', 'DISPERSION INDEX', 'CLEARING INDEX', 'STABILITY CLASS', 'Marine layer', 'Haines Index'], ('Fire Latitude (Deg).......................', 'fireLatitude'): 28.27, ('WFOid:', 'wfoID'): '', ('Fire Size (Acres) .........................', 'fireSize'): .005, ('Name of Fire ...................................', 'fireName'): 'xxxx', ('Tonight Elements', 'tonightElements'): ['Sky/weather', 'Begin/end of pcpn', 'TEMPERATURE', 'HUMIDITY', 'DEWPOINT', '20 FOOT WINDS', 'Eye level winds', 'WIND SHIFT', 'RIDGE TOP WIND', 'SURROUNDING RIDGE', 'CWR', 'POP', 'LIGHTNING ACTIVITY LEVEL', 'SMOKE DISPERSION', 'Mixing height', 'Transport winds', 'LDSI', 'LVORI', 'DISPERSION INDEX', 'CLEARING INDEX', 'STABILITY CLASS', 'Marine layer', 'Haines Index'], ('Creation Date', 'creationDate'): '', ('Creation Time', 'creationTime'): '', ('What Type of Forecast?', 'forecastType'): 'Tabular/Narrative', ('Include Ignition Times?', 'withIgnitionTimes'): 'yes', ('Name of Agency if not listed....', 'otherAgencyName'): 'xxxx', ('Date of Fire .....................................', 'fireDate'): '1/1/10', ('Time of Fire .....................................', 'fireTime'): '1300', ('Tab Hrs', 'todayTableRes'): 1, ('Tab Hrs', 'tonightTableRes'): 2, ('Tab Hrs', 'tomorrowTableRes'): 3, ('TimeZone:', 'fireTZ'): 'EST5EDT'}", "drtHour": 2, "checkStrings": [ "FNUS72 KTBW 010700", "FWSTBW", "Spot Forecast for xxxx...Agency 1", "National Weather Service Tampa Bay Ruskin FL", "200 AM EST Fri Jan 1 2010", "Forecast is based on ignition time of 1300 EST on January 01.", "If conditions become unrepresentative, contact the National Weather Service.", ".DISCUSSION...", ".REST OF TONIGHT...", "Sky/weather.........Patchy dense fog.", "Begin/end of pcpn...", "Temperature.........Min 40.", "RH..................Max 60 percent.", "Dewpoint............MISSING.", "Wind (20 ft)........North winds around 6 mph with gusts to around 30 mph.", "Eye level winds.....North winds around 6 mph.", "Wind shift..........", "Ridgetop wind.......Southwest around 10 mph.", "Surrounding ridge...Southwest around 10 mph.", "CWR.................0 percent.", "Chance of pcpn......0 percent.", "LAL.................1.", "Mixing height.......100 ft AGL.", "Transport winds.....Southwest around 12 mph.", "Mixing height.......100 ft AGL.", "Transport winds.....Southwest around 12 mph.", "Dispersion index....0.", "LVORI...............0.", "Dispersion..........0.", "Smoke dispersal.....Excellent (160000 knot-ft).", "Stability class.....1.", "Marine layer........MISSING.", "Haines Index........2 or very low potential for large plume dominated fire growth.", "Time (EST) 2 AM 4 AM", "Sky (%).........M M", "Weather cov.....PATCHY PATCHY", "Weather type....FOG FOG", "Temp............M M ", "RH..............M M ", "20 ft wind......SW 7 SW 7", "20 ft wind gust.30 30", "Eye level wind..SW 7 SW 7", "Eye level wind..30 30", "Ridgetop wind...SW 10 SW 10", "Mix hgt (ft)....100 100", "Transport wind..SW 12 SW 12", "Mix hgt (ft)....100 100", "Transport wind..SW 12 SW 12", "Dispersion......0 0", "Dispersion idx..0 0", "LVORI...........0 0", "CWR.............0 0", "Chc of pcpn (%).0 0", "LAL.............1 1", "Haines Index....2 2", ".FRIDAY...", "Sky/weather.........Cloudy (95-100 percent). Patchy dense fog.", "Begin/end of pcpn...", "Temperature.........100 at ignition...Max 78.", "RH..................100 percent at ignition...Min 65 percent.", "Dewpoint............100.", "Wind (20 ft)........Winds southwest at 9 mph at ignition, otherwise North winds around 6 mph with gusts to around 30 mph.", "Eye level winds.....North winds around 6 mph.", "Wind shift..........", "Ridgetop wind.......Southwest around 10 mph.", "Surrounding ridge...Southwest around 10 mph.", "CWR.................0 percent.", "Chance of pcpn......0 percent.", "LAL.................1.", "Mixing height.......100 ft AGL at ignition, otherwise 100 ft AGL.", "Transport winds.....Southwest around 12 mph.", "Mixing height.......100 ft AGL at ignition, otherwise 100 ft AGL.", "Transport winds.....Southwest around 12 mph.", "Dispersion index....0.", "LVORI...............0.", "Dispersion..........0.", "Smoke dispersal.....Excellent /160000 knot-ft/ at ignition. Max...excellent /160000 knot-ft/.", "Stability class.....1.", "Marine layer........1000.", "Haines Index........2 or very low potential for large plume dominated fire growth at ignition...max 2.", "Time (EST) 6 AM 9 AM Noon 3 PM ", "Sky (%).........100 100 100 100", "Weather cov.....PATCHY PATCHY PATCHY PATCHY", "Weather type....FOG FOG FOG FOG", "Temp............100 100 100 100", "RH..............100 100 100 100", "20 ft wind......SW 7G30 SW 7G30 SW 7G30 SW 7G30", "Eye level wind..SW 7G30 SW 7G30 SW 7G30 SW 7G30", "Ridgetop wind...SW 10 SW 10 SW 10 SW 10", "Mix hgt (ft)....100 100 100 100", "Transport wind..SW 12 SW 12 SW 12 SW 12", "Mix hgt (ft)....100 100 100 100", "Transport wind..SW 12 SW 12 SW 12 SW 12", "Dispersion......0 0 0 0", "Dispersion idx..0 0 0 0", "LVORI...........0 0 0 0", "CWR.............0 0 0 0", "Chc of pcpn (%).0 0 0 0", "LAL.............1 1 1 1", "Haines Index....2 2 2 2", "$$", "FORECASTER...Forecaster C", "Requested by...YYYY", "Type of request...Prescribed", ], }, { "name":"FWS_5", "productType":"FWS", "commentary": "Next Day Issuance", "fileChanges":[ ("FWS_<site>_Overrides", "TextUtility", "add", testOverrides, "undo"), ("FWS_<site>_Definition", "TextUtility", "add", definition0, "undo"), ], "createGrids": FWS_createGrids, "cmdLineVars": "{('Product Issuance:', 'productIssuance'): 'Next Day', ('Issued By', 'issuedBy'): None, ('Agency:', 'requestingAgency'): 'Agency 1', ('Tomorrow Elements', 'tomorrowElements'): ['Sky/weather', 'Begin/end of pcpn', 'TEMPERATURE', 'HUMIDITY', 'DEWPOINT', '20 FOOT WINDS', 'Eye level winds', 'WIND SHIFT', 'RIDGE TOP WIND', 'SURROUNDING RIDGE', 'CWR', 'POP', 'LIGHTNING ACTIVITY LEVEL', 'SMOKE DISPERSION', 'Mixing height', 'Transport winds', 'LDSI', 'LVORI', 'DISPERSION INDEX', 'CLEARING INDEX', 'STABILITY CLASS', 'Marine layer', 'Haines Index'], ('Fire Longitude (Deg)...................', 'fireLongitude'): 82.19, ('WebSiteTag:', 'webSiteTag'): '', ('Check Items to Include:', 'extendedQuestions'): [], ('Forecaster:', 'forecaster'): ['FORECASTER C'], ('Type of Fire:', 'fireType'): 'PRESCRIBED', ('Name of Agency Contact..........', 'agencyContact'): 'yyyy', ('Today Elements', 'todayElements'): ['Sky/weather', 'Begin/end of pcpn', 'TEMPERATURE', 'HUMIDITY', 'DEWPOINT', '20 FOOT WINDS', 'Eye level winds', 'WIND SHIFT', 'RIDGE TOP WIND', 'SURROUNDING RIDGE', 'CWR', 'POP', 'LIGHTNING ACTIVITY LEVEL', 'SMOKE DISPERSION', 'Mixing height', 'Transport winds', 'LDSI', 'LVORI', 'DISPERSION INDEX', 'CLEARING INDEX', 'STABILITY CLASS', 'Marine layer', 'Haines Index'], ('Fire Latitude (Deg).......................', 'fireLatitude'): 28.27, ('WFOid:', 'wfoID'): '', ('Fire Size (Acres) .........................', 'fireSize'): .005, ('Name of Fire ...................................', 'fireName'): 'xxxx', ('Tonight Elements', 'tonightElements'): ['Sky/weather', 'Begin/end of pcpn', 'TEMPERATURE', 'HUMIDITY', 'DEWPOINT', '20 FOOT WINDS', 'Eye level winds', 'WIND SHIFT', 'RIDGE TOP WIND', 'SURROUNDING RIDGE', 'CWR', 'POP', 'LIGHTNING ACTIVITY LEVEL', 'SMOKE DISPERSION', 'Mixing height', 'Transport winds', 'LDSI', 'LVORI', 'DISPERSION INDEX', 'CLEARING INDEX', 'STABILITY CLASS', 'Marine layer', 'Haines Index'], ('Creation Date', 'creationDate'): '', ('Creation Time', 'creationTime'): '', ('What Type of Forecast?', 'forecastType'): 'Tabular/Narrative', ('Include Ignition Times?', 'withIgnitionTimes'): 'yes', ('Name of Agency if not listed....', 'otherAgencyName'): 'xxxx', ('Date of Fire .....................................', 'fireDate'): '1/1/10', ('Time of Fire .....................................', 'fireTime'): '1300', ('Tab Hrs', 'todayTableRes'): 1, ('Tab Hrs', 'tonightTableRes'): 2, ('Tab Hrs', 'tomorrowTableRes'): 3, ('TimeZone:', 'fireTZ'): 'EST5EDT'}", "checkStrings": [ "FNUS72 KTBW 010900", "FWSTBW", "Spot Forecast for xxxx...Agency 1", "National Weather Service Tampa Bay Ruskin FL", "400 AM EST Fri Jan 1 2010", "Forecast is based on ignition time of 1300 EST on January 01.", "If conditions become unrepresentative, contact the National Weather Service.", ".DISCUSSION...", ".TODAY...", "Sky/weather.........Sunny (0-5 percent). Chance of rain showers.", "Begin/end of pcpn...", "Temperature.........Max 79.", "RH..................Min 68 percent.", "Dewpoint............0.", "Wind (20 ft)........Northwest winds around 12 mph.", "Eye level winds.....Northwest winds around 12 mph.", "Wind shift..........", "Ridgetop wind.......Northwest around 10 mph.", "Surrounding ridge...Northwest around 10 mph.", "CWR.................30 percent.", "Chance of pcpn......90 percent.", "LAL.................1.", "Mixing height.......100 ft AGL.", "Transport winds.....Northwest around 12 mph.", "Mixing height.......100 ft AGL.", "Transport winds.....Northwest around 12 mph.", "Dispersion index....6.", "LVORI...............6.", "Dispersion..........6.", "Smoke dispersal.....Good (50000 knot-ft).", "Stability class.....1.", "Marine layer........2000.", "Haines Index........4 or low potential for large plume dominated fire growth.", "Time (EST) 6AM 7AM 8AM 9AM 10A 11A 12P 1PM 2PM 3PM 4PM 5PM", "Sky (%).........0 0 0 0 0 0 0 0 0 0 0 0", "Weather cov.....CHC CHC CHC CHC CHC CHC CHC CHC CHC CHC CHC CHC", "Weather type....RW RW RW RW RW RW RW RW RW RW RW RW", "Temp............0 0 0 0 0 0 0 0 0 0 0 0", "RH..............0 0 0 0 0 0 0 0 0 0 0 0", "20 ft wind dir..NW NW NW NW NW NW NW NW NW NW NW NW", "20 ft wind spd..26 26 26 26 26 26 26 26 26 26 26 26", "20 ft wind gust.", "Eye lvl wnd dir.NW NW NW NW NW NW NW NW NW NW NW NW", "Eye lvl wnd spd.26 26 26 26 26 26 26 26 26 26 26 26", "Eye lvl wnd gst.", "Ridge wnd dir..NW NW NW NW NW NW NW NW NW NW NW NW", "Ridge wnd spd..10 10 10 10 10 10 10 10 10 10 10 10", "Mix hgt (kft)...0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1", "Transp wind dir.NW NW NW NW NW NW NW NW NW NW NW NW", "Transp wind spd.12 12 12 12 12 12 12 12 12 12 12 12", "Mix hgt (kft)...0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1", "Transp wind dir.NW NW NW NW NW NW NW NW NW NW NW NW", "Transp wind spd.12 12 12 12 12 12 12 12 12 12 12 12", "Dispersion......6 6 6 6 6 6 6 6 6 6 6 6", "Dispersion idx..6 6 6 6 6 6 6 6 6 6 6 6", "LVORI...........6 6 6 6 6 6 6 6 6 6 6 6", "CWR.............30 30 30 30 30 30 30 30 30 30 30 30", "Chc of pcpn (%).90 90 90 90 90 90 90 90 90 90 90 90", "LAL.............3 3 3 3 3 3 3 3 3 3 3 3", "Haines Index....4 4 4 4 4 4 4 4 4 4 4 4", ".TONIGHT...", "Sky/weather.........MOSTLY CLEAR (10-20 percent). FREQUENT LIGHT RAIN.", "Begin/end of pcpn...", "Temperature.........Min 68.", "RH..................Max 80 percent.", "Dewpoint............15.", "Wind (20 ft)........LIGHT WINDS.", "Eye level winds.....LIGHT WINDS.", "Wind shift..........", "Ridgetop wind.......Northwest around 10 mph.", "Surrounding ridge...Northwest around 10 mph.", "CWR.................30 percent.", "Chance of pcpn......90 percent.", "LAL.................1.", "Mixing height.......100 ft AGL.", "Transport winds.....Northwest around 12 mph.", "Mixing height.......100 ft AGL.", "Transport winds.....Northwest around 12 mph.", "Dispersion index....1.", "LVORI...............1.", "Dispersion..........1.", "Smoke dispersal.....FAIR (20000 knot-ft).", "Stability class.....3.", "Marine layer........2000.", "Haines Index........6 OR HIGH potential for large plume dominated fire growth.", "Time (EST) 6 PM 8 PM 10 PM Midngt 2 AM 4 AM", "Sky (%).........15 15 15 15 15 15", "Weather cov.....FRQNT FRQNT FRQNT FRQNT FRQNT FRQNT", "Weather type....RAIN RAIN RAIN RAIN RAIN RAIN", "Temp............15 15 15 15 15 15", "RH..............15 15 15 15 15 15", "20 ft wind......W 33 W 33 W 33 W 33 W 33 W 33", "20 ft wind gust.", "Eye level wind..W 33 W 33 W 33 W 33 W 33 W 33", "Eye level wind..", "Ridgetop wind...NW 10 NW 10 NW 10 NW 10 NW 10 NW 10", "Mix hgt (ft)....100 100 100 100 100 100", "Transport wind..NW 12 NW 12 NW 12 NW 12 NW 12 NW 12", "Mix hgt (ft)....100 100 100 100 100 100", "Transport wind..NW 12 NW 12 NW 12 NW 12 NW 12 NW 12", "Dispersion......1 1 1 1 1 1", "Dispersion idx..1 1 1 1 1 1", "LVORI...........1 1 1 1 1 1", "CWR.............30 30 30 30 30 30", "Chc of pcpn (%).90 90 90 90 90 90", "LAL.............4 4 4 4 4 4", "Haines Index....6 6 6 6 6 6", ".SUNDAY...", "Sky/weather.........Mostly sunny (25-35 percent). Widespread light freezing rain.", "Begin/end of pcpn...", "Temperature.........Max 78.", "RH..................Min 70 percent.", "Dewpoint............30.", "Wind (20 ft)........Hurricane force winds. East winds around 144 mph.", "Eye level winds.....Hurricane force winds. East winds around 144 mph.", "Wind shift..........", "Ridgetop wind.......West around 25 mph.", "Surrounding ridge...West around 25 mph.", "CWR.................45 percent.", "Chance of pcpn......90 percent.", "LAL.................1.", "Mixing height.......4000 ft AGL.", "Transport winds.....West around 23 mph.", "Mixing height.......4000 ft AGL.", "Transport winds.....West around 23 mph.", "Dispersion index....5.", "LVORI...............5.", "Dispersion..........5.", "Smoke dispersal.....Excellent (70000 knot-ft).", "Stability class.....4.", "Marine layer........4000.", "Haines Index........2 or very low potential for large plume dominated fire growth.", "Time (EST) 6 AM 9 AM Noon 3 PM", "Sky (%).........30 30 30 30", "Weather cov.....WIDSPD WIDSPD WIDSPD WIDSPD", "Weather type....FZRAIN FZRAIN FZRAIN FZRAIN", "Temp............30 30 30 30", "RH..............30 30 30 30", "20 ft wind......SW 37 SW 37 SW 37 SW 37", "Eye level wind..SW 37 SW 37 SW 37 SW 37", "Ridgetop wind...W 25 W 25 W 25 W 25", "Mix hgt (ft)....4000 4000 4000 4000", "Transport wind..W 23 W 23 W 23 W 23", "Mix hgt (ft)....4000 4000 4000 4000", "Transport wind..W 23 W 23 W 23 W 23", "Dispersion......5 5 5 5", "Dispersion idx..5 5 5 5", "LVORI...........5 5 5 5", "CWR.............50 50 50 50", "Chc of pcpn (%).90 90 90 90", "LAL.............5 5 5 5", "Haines Index....2 2 2 2", "$$", "FORECASTER...Forecaster C", "Requested by...YYYY", "Type of request...Prescribed", ], }, { "name":"FWS_6", "productType":"FWS", "commentary": "Afternoon Update", "fileChanges":[ ("FWS_<site>_Overrides", "TextUtility", "add", testOverrides, "undo"), ("FWS_<site>_Definition", "TextUtility", "add", definition0, "undo"), ], "createGrids": FWS_createGrids, "drtHour": 14, "cmdLineVars": "{('Product Issuance:', 'productIssuance'): 'Afternoon Update', ('Issued By', 'issuedBy'): None, ('Agency:', 'requestingAgency'): 'Agency 1', ('Tomorrow Elements', 'tomorrowElements'): ['Sky/weather', 'Begin/end of pcpn', 'TEMPERATURE', 'HUMIDITY', 'DEWPOINT', '20 FOOT WINDS', 'Eye level winds', 'WIND SHIFT', 'RIDGE TOP WIND', 'SURROUNDING RIDGE', 'CWR', 'POP', 'LIGHTNING ACTIVITY LEVEL', 'SMOKE DISPERSION', 'Mixing height', 'Transport winds', 'LDSI', 'LVORI', 'DISPERSION INDEX', 'CLEARING INDEX', 'STABILITY CLASS', 'Marine layer', 'Haines Index'], ('Fire Longitude (Deg)...................', 'fireLongitude'): 82.19, ('WebSiteTag:', 'webSiteTag'): '', ('Check Items to Include:', 'extendedQuestions'): [], ('Forecaster:', 'forecaster'): ['FORECASTER C'], ('Type of Fire:', 'fireType'): 'PRESCRIBED', ('Name of Agency Contact..........', 'agencyContact'): 'yyyy', ('Today Elements', 'todayElements'): ['Sky/weather', 'Begin/end of pcpn', 'TEMPERATURE', 'HUMIDITY', 'DEWPOINT', '20 FOOT WINDS', 'Eye level winds', 'WIND SHIFT', 'RIDGE TOP WIND', 'SURROUNDING RIDGE', 'CWR', 'POP', 'LIGHTNING ACTIVITY LEVEL', 'SMOKE DISPERSION', 'Mixing height', 'Transport winds', 'LDSI', 'LVORI', 'DISPERSION INDEX', 'CLEARING INDEX', 'STABILITY CLASS', 'Marine layer', 'Haines Index'], ('Fire Latitude (Deg).......................', 'fireLatitude'): 28.27, ('WFOid:', 'wfoID'): '', ('Fire Size (Acres) .........................', 'fireSize'): .005, ('Name of Fire ...................................', 'fireName'): 'xxxx', ('Tonight Elements', 'tonightElements'): ['Sky/weather', 'Begin/end of pcpn', 'TEMPERATURE', 'HUMIDITY', 'DEWPOINT', '20 FOOT WINDS', 'Eye level winds', 'WIND SHIFT', 'RIDGE TOP WIND', 'SURROUNDING RIDGE', 'CWR', 'POP', 'LIGHTNING ACTIVITY LEVEL', 'SMOKE DISPERSION', 'Mixing height', 'Transport winds', 'LDSI', 'LVORI', 'DISPERSION INDEX', 'CLEARING INDEX', 'STABILITY CLASS', 'Marine layer', 'Haines Index'], ('Creation Date', 'creationDate'): '', ('Creation Time', 'creationTime'): '', ('What Type of Forecast?', 'forecastType'): 'Tabular/Narrative', ('Include Ignition Times?', 'withIgnitionTimes'): 'yes', ('Name of Agency if not listed....', 'otherAgencyName'): 'xxxx', ('Date of Fire .....................................', 'fireDate'): '1/1/10', ('Time of Fire .....................................', 'fireTime'): '1300', ('Tab Hrs', 'todayTableRes'): 1, ('Tab Hrs', 'tonightTableRes'): 2, ('Tab Hrs', 'tomorrowTableRes'): 4, ('TimeZone:', 'fireTZ'): 'EST5EDT'}", "checkStrings": [ "Spot Forecast for xxxx...Agency 1", "National Weather Service Tampa Bay Ruskin FL", "200 PM EST Fri Jan 1 2010", "Forecast is based on ignition time of 1300 EST on January 01.", "If conditions become unrepresentative, contact the National Weather Service.", ".DISCUSSION...", ".REST OF TODAY...", "Sky/weather.........Cloudy (95-100 percent). Patchy dense fog.", "Begin/end of pcpn...", "Temperature.........Max 78.", "RH..................Min 65 percent.", "Dewpoint............100.", "Wind (20 ft)........North winds around 6 mph with gusts to around 30 mph.", "Eye level winds.....North winds around 6 mph.", "Wind shift..........", "Ridgetop wind.......Southwest around 10 mph.", "Surrounding ridge...Southwest around 10 mph.", "CWR.................0 percent.", "Chance of pcpn......0 percent.", "LAL.................1.", "Mixing height.......100 ft AGL.", "Transport winds.....Southwest around 12 mph.", "Mixing height.......100 ft AGL.", "Transport winds.....Southwest around 12 mph.", "Dispersion index....0.", "LVORI...............0.", "Dispersion..........0.", "Smoke dispersal.....Excellent (160000 knot-ft).", "Stability class.....1.", "Marine layer........1000.", "Haines Index........2 or very low potential for large plume dominated fire growth.", "Time (EST) 2PM 3PM 4PM 5PM", "Sky (%).........100 100 100 100", "Weather cov.....PTY PTY PTY PTY", "Weather type....FOG FOG FOG FOG", "Temp............100 100 100 100", "RH..............100 100 100 100", "20 ft wind dir..SW SW SW SW", "20 ft wind spd..7 7 7 7", "20 ft wind gust.30 30 30 30", "Eye lvl wnd dir.SW SW SW SW", "Eye lvl wnd spd.7 7 7 7", "Eye lvl wnd gst.30 30 30 30", "Ridge wnd dir..SW SW SW SW", "Ridge wnd spd..10 10 10 10", "Mix hgt (kft)...0.1 0.1 0.1 0.1", "Transp wind dir.SW SW SW SW", "Transp wind spd.12 12 12 12", "Mix hgt (kft)...0.1 0.1 0.1 0.1", "Transp wind dir.SW SW SW SW", "Transp wind spd.12 12 12 12", "Dispersion......0 0 0 0", "Dispersion idx..0 0 0 0", "LVORI...........0 0 0 0", "CWR.............0 0 0 0", "Chc of pcpn (%).0 0 0 0", "LAL.............1 1 1 1", "Haines Index....2 2 2 2", ".TONIGHT...", "Sky/weather.........Cloudy (90-100 percent). Widespread thunderstorms.", "Begin/end of pcpn...", "Temperature.........Min 60.", "RH..................Max 78 percent.", "Dewpoint............95.", "Wind (20 ft)........Very windy. Northeast winds around 46 mph.", "Eye level winds.....Very windy. 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Chance of rain showers.", "Begin/end of pcpn...", "Temperature.........Max 79.", "RH..................Min 68 percent.", "Dewpoint............0.", "Wind (20 ft)........Northwest winds around 12 mph.", "Eye level winds.....Northwest winds around 12 mph.", "Wind shift..........", "Ridgetop wind.......Northwest around 10 mph.", "Surrounding ridge...Northwest around 10 mph.", "CWR.................30 percent.", "Chance of pcpn......90 percent.", "LAL.................1.", "Mixing height.......100 ft AGL.", "Transport winds.....Northwest around 12 mph.", "Mixing height.......100 ft AGL.", "Transport winds.....Northwest around 12 mph.", "Dispersion index....6.", "LVORI...............6.", "Dispersion..........6.", "Smoke dispersal.....Good (50000 knot-ft).", "Stability class.....1.", "Marine layer........2000.", "Haines Index........4 or low potential for large plume dominated fire growth.", "Time (EST) 6 AM 10 AM 2 PM", "Sky (%).........0 0 0", "Weather cov.....CHANCE CHANCE CHANCE", "Weather type....RNSHWR RNSHWR RNSHWR", "Temp............0 0 0", "RH..............0 0 0", "20 ft wind......NW 26 NW 26 NW 26", "Eye level wind..NW 26 NW 26 NW 26", "Ridgetop wind...NW 10 NW 10 NW 10", "Mix hgt (ft)....100 100 100", "Transport wind..NW 12 NW 12 NW 12", "Mix hgt (ft)....100 100 100", "Transport wind..NW 12 NW 12 NW 12", "Dispersion......6 6 6", "Dispersion idx..6 6 6", "LVORI...........6 6 6", "CWR.............30 30 30", "Chc of pcpn (%).90 90 90", "LAL.............3 3 3", "Haines Index....4 4 4", "$$", "FORECASTER...Forecaster C", "Requested by...YYYY", "Type of request...Prescribed", ], }, { "name":"FWS_7", "productType":"FWS", "commentary": "Next Day Issuance", "fileChanges":[ ("FWS_<site>_Overrides", "TextUtility", "add", testOverrides, "undo"), ("FWS_<site>_Definition", "TextUtility", "add", definition0, "undo"), ], "createGrids": FWS_createGrids, "drtHour": 22, "cmdLineVars": "{('Product Issuance:', 'productIssuance'): 'Evening Update', ('Issued By', 'issuedBy'): None, ('Agency:', 'requestingAgency'): 'Agency 1', ('Tomorrow Elements', 'tomorrowElements'): ['Sky/weather', 'Begin/end of pcpn', 'TEMPERATURE', 'HUMIDITY', 'DEWPOINT', '20 FOOT WINDS', 'Eye level winds', 'WIND SHIFT', 'RIDGE TOP WIND', 'SURROUNDING RIDGE', 'CWR', 'POP', 'LIGHTNING ACTIVITY LEVEL', 'SMOKE DISPERSION', 'Mixing height', 'Transport winds', 'LDSI', 'LVORI', 'DISPERSION INDEX', 'CLEARING INDEX', 'STABILITY CLASS', 'Marine layer', 'Haines Index'], ('Fire Longitude (Deg)...................', 'fireLongitude'): 82.19, ('WebSiteTag:', 'webSiteTag'): '', ('Check Items to Include:', 'extendedQuestions'): [], ('Forecaster:', 'forecaster'): ['FORECASTER C'], ('Type of Fire:', 'fireType'): 'PRESCRIBED', ('Name of Agency Contact..........', 'agencyContact'): 'yyyy', ('Today Elements', 'todayElements'): ['Sky/weather', 'Begin/end of pcpn', 'TEMPERATURE', 'HUMIDITY', 'DEWPOINT', '20 FOOT WINDS', 'Eye level winds', 'WIND SHIFT', 'RIDGE TOP WIND', 'SURROUNDING RIDGE', 'CWR', 'POP', 'LIGHTNING ACTIVITY LEVEL', 'SMOKE DISPERSION', 'Mixing height', 'Transport winds', 'LDSI', 'LVORI', 'DISPERSION INDEX', 'CLEARING INDEX', 'STABILITY CLASS', 'Marine layer', 'Haines Index'], ('Fire Latitude (Deg).......................', 'fireLatitude'): 28.27, ('WFOid:', 'wfoID'): '', ('Fire Size (Acres) .........................', 'fireSize'): .005, ('Name of Fire ...................................', 'fireName'): 'xxxx', ('Tonight Elements', 'tonightElements'): ['Sky/weather', 'Begin/end of pcpn', 'TEMPERATURE', 'HUMIDITY', 'DEWPOINT', '20 FOOT WINDS', 'Eye level winds', 'WIND SHIFT', 'RIDGE TOP WIND', 'SURROUNDING RIDGE', 'CWR', 'POP', 'LIGHTNING ACTIVITY LEVEL', 'SMOKE DISPERSION', 'Mixing height', 'Transport winds', 'LDSI', 'LVORI', 'DISPERSION INDEX', 'CLEARING INDEX', 'STABILITY CLASS', 'Marine layer', 'Haines Index'], ('Creation Date', 'creationDate'): '', ('Creation Time', 'creationTime'): '', ('What Type of Forecast?', 'forecastType'): 'Tabular/Narrative', ('Include Ignition Times?', 'withIgnitionTimes'): 'yes', ('Name of Agency if not listed....', 'otherAgencyName'): 'xxxx', ('Date of Fire .....................................', 'fireDate'): '1/1/10', ('Time of Fire .....................................', 'fireTime'): '1300', ('Tab Hrs', 'todayTableRes'): 1, ('Tab Hrs', 'tonightTableRes'): 2, ('Tab Hrs', 'tomorrowTableRes'): 4, ('TimeZone:', 'fireTZ'): 'EST5EDT'}", "checkStrings": [ "FNUS72 KTBW 020300", "FWSTBW", "Spot Forecast for xxxx...Agency 1", "National Weather Service Tampa Bay Ruskin FL", "1000 PM EST Fri Jan 1 2010", "Forecast is based on ignition time of 1300 EST on January 01.", "If conditions become unrepresentative, contact the National Weather Service.", ".DISCUSSION...", ".REST OF TONIGHT...", "Sky/weather.........Cloudy (90-100 percent). Widespread thunderstorms.", "Begin/end of pcpn...", "Temperature.........Min 60.", "RH..................Max 78 percent.", "Dewpoint............95.", "Wind (20 ft)........Very windy. Northeast winds around 46 mph.", "Eye level winds.....Very windy. Northeast winds around 46 mph.", "Wind shift..........", "Ridgetop wind.......West around 5 mph.", "Surrounding ridge...West around 5 mph.", "CWR.................20 percent.", "Chance of pcpn......90 percent.", "LAL.................2.", "Mixing height.......100 ft AGL.", "Transport winds.....West around 6 mph.", "Mixing height.......100 ft AGL.", "Transport winds.....West around 6 mph.", "Dispersion index....2.", "LVORI...............2.", "Dispersion..........2.", "Smoke dispersal.....Excellent (100000 knot-ft).", "Stability class.....2.", "Marine layer........1000.", "Haines Index........3 or very low potential for large plume dominated fire growth.", "Time (EST) 10 PM Midngt 2 AM 4 AM", "Sky (%).........95 95 95 95", "Weather cov.....WIDSPD WIDSPD WIDSPD WIDSPD", "Weather type....TSTORM TSTORM TSTORM TSTORM", "Temp............95 95 95 95", "RH..............95 95 95 95", "20 ft wind......SE 30 SE 30 SE 30 SE 30", "20 ft wind gust.", "Eye level wind..SE 30 SE 30 SE 30 SE 30", "Eye level wind..", "Ridgetop wind...W 5 W 5 W 5 W 5", "Mix hgt (ft)....100 100 100 100", "Transport wind..W 6 W 6 W 6 W 6", "Mix hgt (ft)....100 100 100 100", "Transport wind..W 6 W 6 W 6 W 6", "Dispersion......2 2 2 2", "Dispersion idx..2 2 2 2", "LVORI...........2 2 2 2", "CWR.............20 20 20 20", "Chc of pcpn (%).90 90 90 90", "LAL.............2 2 2 2", "Haines Index....3 3 3 3", ".SATURDAY...", "Sky/weather.........Sunny (0-5 percent). Chance of rain showers.", "Begin/end of pcpn...", "Temperature.........Max 79.", "RH..................Min 68 percent.", "Dewpoint............0.", "Wind (20 ft)........Northwest winds around 12 mph.", "Eye level winds.....Northwest winds around 12 mph.", "Wind shift..........", "Ridgetop wind.......Northwest around 10 mph.", "Surrounding ridge...Northwest around 10 mph.", "CWR.................30 percent.", "Chance of pcpn......90 percent.", "LAL.................1.", "Mixing height.......100 ft AGL.", "Transport winds.....Northwest around 12 mph.", "Mixing height.......100 ft AGL.", "Transport winds.....Northwest around 12 mph.", "Dispersion index....6.", "LVORI...............6.", "Dispersion..........6.", "Smoke dispersal.....Good (50000 knot-ft).", "Stability class.....1.", "Marine layer........2000.", "Haines Index........4 or low potential for large plume dominated fire growth.", "Time (EST) 6 AM 10 AM 2 PM", "Sky (%).........0 0 0", "Weather cov.....CHANCE CHANCE CHANCE", "Weather type....RNSHWR RNSHWR RNSHWR", "Temp............0 0 0", "RH..............0 0 0", "20 ft wind......NW 26 NW 26 NW 26", "Eye level wind..NW 26 NW 26 NW 26", "Ridgetop wind...NW 10 NW 10 NW 10", "Mix hgt (ft)....100 100 100", "Transport wind..NW 12 NW 12 NW 12", "Mix hgt (ft)....100 100 100", "Transport wind..NW 12 NW 12 NW 12", "Dispersion......6 6 6", "Dispersion idx..6 6 6", "LVORI...........6 6 6", "CWR.............30 30 30", "Chc of pcpn (%).90 90 90", "LAL.............3 3 3", "Haines Index....4 4 4", "$$", "FORECASTER...Forecaster C", "Requested by...YYYY", "Type of request...Prescribed", ], }, { "name":"FWS_8", "productType":"FWS", "commentary": "User-supplied Creation Date and Time", "fileChanges":[ ("FWS_<site>_Overrides", "TextUtility", "add", testOverrides, "undo"), ("FWS_<site>_Definition", "TextUtility", "add", definition0, "undo"), ], "createGrids": FWS_createGrids, "drtHour": 22, "cmdLineVars": "{('Product Issuance:', 'productIssuance'): 'Evening Update', ('Issued By', 'issuedBy'): None, ('Agency:', 'requestingAgency'): 'Agency 1', ('Tomorrow Elements', 'tomorrowElements'): ['Sky/weather', 'Begin/end of pcpn', 'TEMPERATURE', 'HUMIDITY', 'DEWPOINT', '20 FOOT WINDS', 'Eye level winds', 'WIND SHIFT', 'RIDGE TOP WIND', 'SURROUNDING RIDGE', 'CWR', 'POP', 'LIGHTNING ACTIVITY LEVEL', 'SMOKE DISPERSION', 'Mixing height', 'Transport winds', 'LDSI', 'LVORI', 'DISPERSION INDEX', 'CLEARING INDEX', 'STABILITY CLASS', 'Marine layer', 'Haines Index'], ('Fire Longitude (Deg)...................', 'fireLongitude'): 82.19, ('WebSiteTag:', 'webSiteTag'): '', ('Check Items to Include:', 'extendedQuestions'): [], ('Forecaster:', 'forecaster'): ['FORECASTER C'], ('Type of Fire:', 'fireType'): 'PRESCRIBED', ('Name of Agency Contact..........', 'agencyContact'): 'yyyy', ('Today Elements', 'todayElements'): ['Sky/weather', 'Begin/end of pcpn', 'TEMPERATURE', 'HUMIDITY', 'DEWPOINT', '20 FOOT WINDS', 'Eye level winds', 'WIND SHIFT', 'RIDGE TOP WIND', 'SURROUNDING RIDGE', 'CWR', 'POP', 'LIGHTNING ACTIVITY LEVEL', 'SMOKE DISPERSION', 'Mixing height', 'Transport winds', 'LDSI', 'LVORI', 'DISPERSION INDEX', 'CLEARING INDEX', 'STABILITY CLASS', 'Marine layer', 'Haines Index'], ('Fire Latitude (Deg).......................', 'fireLatitude'): 28.27, ('WFOid:', 'wfoID'): '', ('Fire Size (Acres) .........................', 'fireSize'): .005, ('Name of Fire ...................................', 'fireName'): 'xxxx', ('Tonight Elements', 'tonightElements'): ['Sky/weather', 'Begin/end of pcpn', 'TEMPERATURE', 'HUMIDITY', 'DEWPOINT', '20 FOOT WINDS', 'Eye level winds', 'WIND SHIFT', 'RIDGE TOP WIND', 'SURROUNDING RIDGE', 'CWR', 'POP', 'LIGHTNING ACTIVITY LEVEL', 'SMOKE DISPERSION', 'Mixing height', 'Transport winds', 'LDSI', 'LVORI', 'DISPERSION INDEX', 'CLEARING INDEX', 'STABILITY CLASS', 'Marine layer', 'Haines Index'], ('Creation Date', 'creationDate'): '1/3/10', ('Creation Time', 'creationTime'): '0600', ('What Type of Forecast?', 'forecastType'): 'Tabular/Narrative', ('Include Ignition Times?', 'withIgnitionTimes'): 'yes', ('Name of Agency if not listed....', 'otherAgencyName'): 'xxxx', ('Date of Fire .....................................', 'fireDate'): '1/1/10', ('Time of Fire .....................................', 'fireTime'): '1300', ('Tab Hrs', 'todayTableRes'): 4, ('Tab Hrs', 'tonightTableRes'): 2, ('Tab Hrs', 'tomorrowTableRes'): 'None', ('TimeZone:', 'fireTZ'): 'EST5EDT'}", "checkStrings": [ "FNUS72 KTBW 031100", "FWSTBW", "Spot Forecast for xxxx...Agency 1", "National Weather Service Tampa Bay Ruskin FL", "600 AM EST Sun Jan 3 2010", "Forecast is based on ignition time of 1300 EST on January 01.", "If conditions become unrepresentative, contact the National Weather Service.", ".DISCUSSION...", ".SUNDAY...", "Sky/weather.........Partly cloudy (40-50 percent). Widespread light freezing rain, then very light snow likely.", "Begin/end of pcpn...", "Temperature.........Min 65.", "RH..................Max 82 percent.", "Dewpoint............55.", "Wind (20 ft)........Hurricane force winds. South winds 104 TO 144 mph.", "Eye level winds.....Hurricane force winds. South winds 104 TO 144 mph.", "Wind shift..........", "Ridgetop wind.......West around 25 mph.", "Surrounding ridge...West around 25 mph.", "CWR.................60 percent.", "Chance of pcpn......90 percent.", "LAL.................1.", "Mixing height.......4000 ft AGL.", "Transport winds.....West around 23 mph.", "Mixing height.......4000 ft AGL.", "Transport winds.....West around 23 mph.", "Dispersion index....5.", "LVORI...............5.", "Dispersion..........5.", "Smoke dispersal.....Poor to excellent (4000-70000 knot-ft).", "Stability class.....4.", "Marine layer........4000.", "Haines Index........2 TO 3 OR or very low potential for large plume dominated fire growth.", "Time (EST) 6 AM 8 AM 10 AM Noon 2 PM 4 PM 6 PM 8 PM 10 PM Midngt 2 AM 4 AM", "Sky (%).........30 30 30 30 30 30 55 55 55 55 55 55", "Weather cov.....WIDSPD WIDSPD WIDSPD WIDSPD WIDSPD WIDSPD LIKELY LIKELY LIKELY LIKELY LIKELY LIKELY", "Weather type....FZRAIN FZRAIN FZRAIN FZRAIN FZRAIN FZRAIN SNOW SNOW SNOW SNOW SNOW SNOW", "Temp............30 30 30 30 30 30 55 55 55 55 55 55", "RH..............30 30 30 30 30 30 55 55 55 55 55 55", "20 ft wind......SW 37 SW 37 SW 37 SW 37 SW 37 SW 37 E 33 E 33 E 33 E 33 E 33 E 33", "20 ft wind gust.", "Eye level wind..SW 37 SW 37 SW 37 SW 37 SW 37 SW 37 E 33 E 33 E 33 E 33 E 33 E 33", "Eye level wind..", "Ridgetop wind...W 25 W 25 W 25 W 25 W 25 W 25 W 25 W 25 W 25 W 25 W 25 W 25", "Mix hgt (ft)....4000 4000 4000 4000 4000 4000 4000 4000 4000 4000 4000 4000", "Transport wind..W 23 W 23 W 23 W 23 W 23 W 23 W 23 W 23 W 23 W 23 W 23 W 23", "Mix hgt (ft)....4000 4000 4000 4000 4000 4000 4000 4000 4000 4000 4000 4000", "Transport wind..W 23 W 23 W 23 W 23 W 23 W 23 W 23 W 23 W 23 W 23 W 23 W 23", "Dispersion......5 5 5 5 5 5 4 4 4 4 4 4", "Dispersion idx..5 5 5 5 5 5 4 4 4 4 4 4", "LVORI...........5 5 5 5 5 5 4 4 4 4 4 4", "CWR.............50 50 50 50 50 50 60 60 60 60 60 60", "Chc of pcpn (%).90 90 90 90 90 90 70 70 70 70 70 70", "LAL.............5 5 5 5 5 5 6 6 6 6 6 6", "Haines Index....2 2 2 2 2 2 3 3 3 3 3 3", ".MONDAY...", "Sky/weather.........Partly sunny (60-70 percent). Widespread very light sleet.", "Begin/end of pcpn...", "Temperature.........Max 80.", "RH..................Min 73 percent.", "Dewpoint............65.", "Wind (20 ft)........STRONG WINDS. South winds around 58 mph.", "Eye level winds.....STRONG WINDS. South winds around 58 mph.", "Wind shift..........", "Ridgetop wind.......West around 35 mph.", "Surrounding ridge...West around 35 mph.", "CWR.................25 percent.", "Chance of pcpn......90 percent.", "LAL.................1.", "Mixing height.......3500 ft AGL.", "Transport winds.....West around 35 mph.", "Mixing height.......3500 ft AGL.", "Transport winds.....West around 35 mph.", "Dispersion index....3.", "LVORI...............3.", "Dispersion..........3.", "Smoke dispersal.....Poor (4000 knot-ft).", "Stability class.....1.", "Marine layer........5300.", "Haines Index........2 or very low potential for large plume dominated fire growth.", "$$", "FORECASTER...Forecaster C", "Requested by...YYYY", "Type of request...Prescribed", ], }, { "name":"FWS_9", "productType":"FWS", "commentary": "Morning Issuance with Definition settings", "createGrids": FWS_createGrids, "cmdLineVars": "{('Product Issuance:', 'productIssuance'): 'Morning', ('Issued By', 'issuedBy'): None, ('Agency:', 'requestingAgency'): 'Agency 1', ('Tomorrow Elements', 'tomorrowElements'): ['Sky/weather', 'Begin/end of pcpn', 'TEMPERATURE', 'HUMIDITY', 'DEWPOINT', '20 FOOT WINDS', 'Eye level winds', 'WIND SHIFT', 'RIDGE TOP WIND', 'SURROUNDING RIDGE', 'CWR', 'POP', 'LIGHTNING ACTIVITY LEVEL', 'SMOKE DISPERSION', 'Mixing height', 'Transport winds', 'LDSI', 'LVORI', 'DISPERSION INDEX', 'CLEARING INDEX', 'STABILITY CLASS', 'Marine layer', 'Haines Index'], ('Fire Longitude (Deg)...................', 'fireLongitude'): 82.19, ('WebSiteTag:', 'webSiteTag'): '', ('Check Items to Include:', 'extendedQuestions'): [], ('Forecaster:', 'forecaster'): ['FORECASTER C'], ('Type of Fire:', 'fireType'): 'PRESCRIBED', ('Name of Agency Contact..........', 'agencyContact'): 'yyyy', ('Today Elements', 'todayElements'): ['Sky/weather', 'Begin/end of pcpn', 'TEMPERATURE', 'HUMIDITY', 'DEWPOINT', '20 FOOT WINDS', 'Eye level winds', 'WIND SHIFT', 'RIDGE TOP WIND', 'SURROUNDING RIDGE', 'CWR', 'POP', 'LIGHTNING ACTIVITY LEVEL', 'SMOKE DISPERSION', 'Mixing height', 'Transport winds', 'LDSI', 'LVORI', 'DISPERSION INDEX', 'CLEARING INDEX', 'STABILITY CLASS', 'Marine layer', 'Haines Index'], ('Fire Latitude (Deg).......................', 'fireLatitude'): 28.27, ('WFOid:', 'wfoID'): '', ('Fire Size (Acres) .........................', 'fireSize'): .005, ('Name of Fire ...................................', 'fireName'): 'xxxx', ('Tonight Elements', 'tonightElements'): ['Sky/weather', 'Begin/end of pcpn', 'TEMPERATURE', 'HUMIDITY', 'DEWPOINT', '20 FOOT WINDS', 'Eye level winds', 'WIND SHIFT', 'RIDGE TOP WIND', 'SURROUNDING RIDGE', 'CWR', 'POP', 'LIGHTNING ACTIVITY LEVEL', 'SMOKE DISPERSION', 'Mixing height', 'Transport winds', 'LDSI', 'LVORI', 'DISPERSION INDEX', 'CLEARING INDEX', 'STABILITY CLASS', 'Marine layer', 'Haines Index'], ('Creation Date', 'creationDate'): '', ('Creation Time', 'creationTime'): '', ('What Type of Forecast?', 'forecastType'): 'Tabular/Narrative', ('Include Ignition Times?', 'withIgnitionTimes'): 'no', ('Name of Agency if not listed....', 'otherAgencyName'): 'xxxx', ('Date of Fire .....................................', 'fireDate'): '1/1/10', ('Time of Fire .....................................', 'fireTime'): '1300', ('Tab Hrs', 'todayTableRes'): 1, ('Tab Hrs', 'tonightTableRes'): 'None', ('Tab Hrs', 'tomorrowTableRes'): 'None', ('TimeZone:', 'fireTZ'): 'EST5EDT', ('Check Items to Include:', 'extendedQuestions'): ['Include Day 3-5 Extended?', 'Include Day 6-7 Extended?', 'Include Day 8-14 Outlook?']}", "fileChanges":[ ("FWS_<site>_Overrides", "TextUtility", "add", testOverrides, "undo"), ("FWS_<site>_Definition", "TextUtility", "add", definitions, "undo"), ("FWS_<site>_Definition", "TextUtility", "add", definition1, "undo"), ], "checkStrings": [ "FNUS72 KTBW 010900", "FWSTBW", "Spot Forecast for xxxx...Agency 1", "National Weather Service Tampa Bay Ruskin FL", "400 AM EST Fri Jan 1 2010", "If conditions become unrepresentative, contact the National Weather Service.", ".DISCUSSION...", ".TODAY...", "Sky/weather.........Cloudy (95-100 percent). Patchy dense fog.", "Begin/end of pcpn...", "Max temperature.....Around 78.", "Min humidity........100 percent.", "Dewpoint............100.", "Wind (20 ft)........", "Slope/valley.......North winds around 6 mph with gusts to around 30 mph.", "Eye level winds.....North winds around 6 mph.", "Wind shift..........", "Ridgetop...........Southwest around 10 mph.", "Surrounding ridge..Southwest around 10 mph.", "CWR.................0 percent.", "Chance of pcpn......0 percent.", "LAL.................1.", "Mixing height.......100 ft AGL.", "Mixing winds........Southwest around 12 mph.", "Mixing height.......100 ft AGL.", "Mixing winds........Southwest around 12 mph.", "Dispersion index....0.", "LVORI...............0.", "Dispersion..........0.", "Smoke dispersal.....Excellent (160000 knot-ft).", "Stability class.....1.", "Marine layer........1000.", "Haines Index........2 or very low potential for large plume dominated fire growth.", "Time (EST) 4AM 5AM 6AM 7AM 8AM 9AM 10A 11A 12P 1PM 2PM 3PM", "Sky (%).........M M CDY CDY CDY CDY CDY CDY CDY CDY CDY CDY", "Weather cov.....PTY PTY PTY PTY PTY PTY PTY PTY PTY PTY PTY PTY", "Weather type....FOG FOG FOG FOG FOG FOG FOG FOG FOG FOG FOG FOG", "Temp............M M 100 100 100 100 100 100 100 100 100 100", "RH..............M M 100 100 100 100 100 100 100 100 100 100", "20 ft wind dir..N N N N N N N N N N N N", "20 ft wind spd..6 6 6 6 6 6 6 6 6 6 6 6", "20 ft wind gust.30 30 30 30 30 30 30 30 30 30 30 30", "Eye lvl wnd dir.230 230 230 230 230 230 230 230 230 230 230 230", "Eye lvl wnd spd.7 7 7 7 7 7 7 7 7 7 7 7", "Eye lvl wnd gst.30 30 30 30 30 30 30 30 30 30 30 30", "Ridge wnd dir..230 230 230 230 230 230 230 230 230 230 230 230", "Ridge wnd spd..10 10 10 10 10 10 10 10 10 10 10 10", "Mix hgt (kft)...0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1", "Mix hgt (km)....0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1", "Mixng wind dir..230 230 230 230 230 230 230 230 230 230 230 230", "Mixng wind spd..12 12 12 12 12 12 12 12 12 12 12 12", "Mix wnd spd m/s.5 5 5 5 5 5 5 5 5 5 5 5", "Mix hgt (kft)...0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1", "Mix hgt (km)....0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1", "Mixng wind dir..230 230 230 230 230 230 230 230 230 230 230 230", "Mixng wind spd..12 12 12 12 12 12 12 12 12 12 12 12", "Mix wnd spd m/s.5 5 5 5 5 5 5 5 5 5 5 5", "Dispersion......0 0 0 0 0 0 0 0 0 0 0 0", "Dispersion idx..0 0 0 0 0 0 0 0 0 0 0 0", "LVORI...........0 0 0 0 0 0 0 0 0 0 0 0", "CWR.............0 0 0 0 0 0 0 0 0 0 0 0", "Chc of pcpn (%).0 0 0 0 0 0 0 0 0 0 0 0", "LAL.............1 1 1 1 1 1 1 1 1 1 1 1", "Haines Index....2 2 2 2 2 2 2 2 2 2 2 2", ".TONIGHT...", "Sky/weather.........Cloudy (90-100 percent). Widespread thunderstorms.", "Begin/end of pcpn...", "Min temperature.....Around 60.", "Max humidity........95 percent.", "Dewpoint............95.", "Wind (20 ft)........", "Slope/valley.......Very windy. Northeast winds around 46 mph.", "Eye level winds.....Very windy. Northeast winds around 46 mph.", "Wind shift..........", "Ridgetop...........West around 5 mph.", "Surrounding ridge..West around 5 mph.", "CWR.................20 percent.", "Chance of pcpn......90 percent.", "LAL.................2.", "Mixing height.......100 ft AGL.", "Mixing winds........West around 6 mph.", "Mixing height.......100 ft AGL.", "Mixing winds........West around 6 mph.", "Dispersion index....2.", "LVORI...............2.", "Dispersion..........2.", "Smoke dispersal.....Excellent (100000 knot-ft).", "Stability class.....2.", "Marine layer........1000.", "Haines Index........3 or very low potential for large plume dominated fire growth.", ".SATURDAY...", "Sky/weather.........Sunny (0-5 percent). Chance of rain showers.", "Begin/end of pcpn...", "Max temperature.....around 79.", "Min humidity........0 percent.", "Dewpoint............0.", "Wind (20 ft)........", "Slope/valley.......Northwest winds around 12 mph.", "Eye level winds.....Northwest winds around 12 mph.", "Wind shift..........", "Ridgetop...........Northwest around 10 mph.", "Surrounding ridge..Northwest around 10 mph.", "CWR.................30 percent.", "Chance of pcpn......90 percent.", "LAL.................1.", "Mixing height.......100 ft AGL.", "Mixing winds........Northwest around 12 mph.", "Mixing height.......100 ft AGL.", "Mixing winds........Northwest around 12 mph.", "Dispersion index....6.", "LVORI...............6.", "Dispersion..........6.", "Smoke dispersal.....Good (50000 knot-ft).", "Stability class.....1.", "Marine layer........2000.", "Haines Index........4 or low potential for large plume dominated fire growth.", ".FORECAST DAYS 3 THROUGH 7...", ".SUNDAY...", "Strong winds. Widespread light freeaing rain and frequent light rain. Lows in the upper 60s. Highs in the upper 70s. Northeast winds around 72 mph.", ".MONDAY...", "Hurricane force winds. Widespread very light sleet and very light snow likely. Lows in the mid 60s. Highs around 80. South winds around 81 mph.", ".TUESDAY...", "Strong winds. Partly cloudy. Areas of blowing snow, then patchy fog. Lows in the mid 60s. Highs in the lower 80s. South winds around 58 mph.", ".WEDNESDAY...", "Mostly cloudy. Drizzle likely, then slight chance of very light freezing drizzle. Lows in the lower 60s. Highs in the lower 80s.", ".THURSDAY...", "Partly cloudy. Numerous thunderstorms. Isolated light freezing spray. Lows in the mid 60s. Highs in the mid 80s.", ".OUTLOOK FOR FRIDAY JANUARY 08 THROUGH THURSDAY JANUARY 14...", "...Put 8 to 14 day outlook text here...", "$$", "FORECASTER...Forecaster C", "Requested by...YYYY", "Type of request...Prescribed", ], }, { "name":"FWS_10", "productType":"FWS", "commentary": "Morning Issuance with Definition settings", "createGrids": FWS_createGrids, "cmdLineVars": "{('Product Issuance:', 'productIssuance'): 'Morning', ('Issued By', 'issuedBy'): None, ('Agency:', 'requestingAgency'): 'Agency 1', ('Tomorrow Elements', 'tomorrowElements'): ['Sky/weather', 'Begin/end of pcpn', 'TEMPERATURE', 'HUMIDITY', 'DEWPOINT', '20 FOOT WINDS', 'Eye level winds', 'WIND SHIFT', 'RIDGE TOP WIND', 'SURROUNDING RIDGE', 'CWR', 'POP', 'LIGHTNING ACTIVITY LEVEL', 'SMOKE DISPERSION', 'Mixing height', 'Transport winds', 'LDSI', 'LVORI', 'DISPERSION INDEX', 'CLEARING INDEX', 'STABILITY CLASS', 'Marine layer', 'Haines Index'], ('Fire Longitude (Deg)...................', 'fireLongitude'): 82.19, ('WebSiteTag:', 'webSiteTag'): '', ('Check Items to Include:', 'extendedQuestions'): [], ('Forecaster:', 'forecaster'): ['FORECASTER C'], ('Type of Fire:', 'fireType'): 'PRESCRIBED', ('Name of Agency Contact..........', 'agencyContact'): 'yyyy', ('Today Elements', 'todayElements'): ['Sky/weather', 'Begin/end of pcpn', 'TEMPERATURE', 'HUMIDITY', 'DEWPOINT', '20 FOOT WINDS', 'Eye level winds', 'WIND SHIFT', 'RIDGE TOP WIND', 'SURROUNDING RIDGE', 'CWR', 'POP', 'LIGHTNING ACTIVITY LEVEL', 'SMOKE DISPERSION', 'Mixing height', 'Transport winds', 'LDSI', 'LVORI', 'DISPERSION INDEX', 'CLEARING INDEX', 'STABILITY CLASS', 'Marine layer', 'Haines Index'], ('Fire Latitude (Deg).......................', 'fireLatitude'): 28.27, ('WFOid:', 'wfoID'): '', ('Fire Size (Acres) .........................', 'fireSize'): .005, ('Name of Fire ...................................', 'fireName'): 'xxxx', ('Tonight Elements', 'tonightElements'): ['Sky/weather', 'Begin/end of pcpn', 'TEMPERATURE', 'HUMIDITY', 'DEWPOINT', '20 FOOT WINDS', 'Eye level winds', 'WIND SHIFT', 'RIDGE TOP WIND', 'SURROUNDING RIDGE', 'CWR', 'POP', 'LIGHTNING ACTIVITY LEVEL', 'SMOKE DISPERSION', 'Mixing height', 'Transport winds', 'LDSI', 'LVORI', 'DISPERSION INDEX', 'CLEARING INDEX', 'STABILITY CLASS', 'Marine layer', 'Haines Index'], ('Creation Date', 'creationDate'): '', ('Creation Time', 'creationTime'): '', ('What Type of Forecast?', 'forecastType'): 'Tabular/Narrative', ('Include Ignition Times?', 'withIgnitionTimes'): 'no', ('Name of Agency if not listed....', 'otherAgencyName'): 'xxxx', ('Date of Fire .....................................', 'fireDate'): '1/1/10', ('Time of Fire .....................................', 'fireTime'): '1300', ('Tab Hrs', 'todayTableRes'): 1, ('Tab Hrs', 'tonightTableRes'): 'None', ('Tab Hrs', 'tomorrowTableRes'): 'None', ('TimeZone:', 'fireTZ'): 'EST5EDT'}", "fileChanges":[ ("FWS_<site>_Overrides", "TextUtility", "add", testOverrides, "undo"), ("FWS_<site>_Definition", "TextUtility", "add", definitions, "undo"), ("FWS_<site>_Definition", "TextUtility", "add", definition2, "undo"), ("FWS_<site>_Definition", "TextUtility", "add", definition0, "undo"), ], "checkStrings": [ "FNUS72 KTBW 010900", "FWSTBW", "Spot Forecast for xxxx...Agency 1", "National Weather Service Tampa Bay Ruskin FL", "400 AM EST Fri Jan 1 2010", "If conditions become unrepresentative, contact the National Weather Service.", ".DISCUSSION...", ".TODAY...", "Sky/weather.........Cloudy (95-100 percent). Patchy dense fog.", "Begin/end of pcpn...", "Max temperature.....Around 78.", "Min humidity........100 percent.", "Dewpoint............100.", "Wind (20 ft)........", "Slope/valley.......North winds around 6 mph with gusts to around 30 mph.", "Eye level winds.....North winds around 6 mph.", "Wind shift..........", "Ridgetop...........Southwest around 10 mph.", "Surrounding ridge..Southwest around 10 mph.", "CWR.................0 percent.", "Chance of pcpn......0 percent.", "LAL.................1.", "Mixing height.......100 ft AGL.", "Mixing winds........Southwest around 12 mph.", "Mixing height.......100 ft AGL.", "Mixing winds........Southwest around 12 mph.", "Dispersion index....0.", "LVORI...............0.", "Dispersion..........0.", "Smoke dispersal.....Excellent (160000 knot-ft).", "Stability class.....1.", "Marine layer........1000.", "Haines Index........2 or very low potential for large plume dominated fire growth.", "Time (EST) 6AM 7AM 8AM 9AM 10A 11A 12P 1PM 2PM 3PM 4PM 5PM", "Sky (%).........CDY CDY CDY CDY CDY CDY CDY CDY CDY CDY CDY CDY", "Weather cov.....PTY PTY PTY PTY PTY PTY PTY PTY PTY PTY PTY PTY", "Weather type....FOG FOG FOG FOG FOG FOG FOG FOG FOG FOG FOG FOG", "Temp............100 100 100 100 100 100 100 100 100 100 100 100", "RH..............100 100 100 100 100 100 100 100 100 100 100 100", "20 ft wind dir..N N N N N N N N N N N N", "20 ft wind spd..6 6 6 6 6 6 6 6 6 6 6 6", "20 ft wind gust.30 30 30 30 30 30 30 30 30 30 30 30", "Eye lvl wnd dir.230 230 230 230 230 230 230 230 230 230 230 230", "Eye lvl wnd spd.7 7 7 7 7 7 7 7 7 7 7 7", "Eye lvl wnd gst.30 30 30 30 30 30 30 30 30 30 30 30", "Ridge wnd dir..230 230 230 230 230 230 230 230 230 230 230 230", "Ridge wnd spd..10 10 10 10 10 10 10 10 10 10 10 10", "Mix hgt (kft)...0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1", "Mix hgt (km)....0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1", "Mixng wind dir..230 230 230 230 230 230 230 230 230 230 230 230", "Mixng wind spd..12 12 12 12 12 12 12 12 12 12 12 12", "Mix wnd spd m/s.5 5 5 5 5 5 5 5 5 5 5 5", "Mix hgt (kft)...0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1", "Mix hgt (km)....0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1", "Mixng wind dir..230 230 230 230 230 230 230 230 230 230 230 230", "Mixng wind spd..12 12 12 12 12 12 12 12 12 12 12 12", "Mix wnd spd m/s.5 5 5 5 5 5 5 5 5 5 5 5", "Dispersion......0 0 0 0 0 0 0 0 0 0 0 0", "Dispersion idx..0 0 0 0 0 0 0 0 0 0 0 0", "LVORI...........0 0 0 0 0 0 0 0 0 0 0 0", "CWR.............0 0 0 0 0 0 0 0 0 0 0 0", "Chc of pcpn (%).0 0 0 0 0 0 0 0 0 0 0 0", "LAL.............1 1 1 1 1 1 1 1 1 1 1 1", "Haines Index....2 2 2 2 2 2 2 2 2 2 2 2", ".TONIGHT...", "Sky/weather.........Cloudy (90-100 percent). Widespread thunderstorms.", "Begin/end of pcpn...", "Min temperature.....Around 60.", "Max humidity........95 percent.", "Dewpoint............95.", "Wind (20 ft)........", " Slope/valley.......Very windy. Northeast winds around 46 mph.", "Eye level winds.....Very windy. Northeast winds around 46 mph.", "Wind shift..........", "Ridgetop...........West around 5 mph.", "Surrounding ridge..West around 5 mph.", "CWR.................20 percent.", "Chance of pcpn......90 percent.", "LAL.................2.", "Mixing height.......100 ft AGL.", "Mixing winds........West around 6 mph.", "Mixing height.......100 ft AGL.", "Mixing winds........West around 6 mph.", "Dispersion index....2.", "LVORI...............2.", "Dispersion..........2.", "Smoke dispersal.....Excellent (100000 knot-ft).", "Stability class.....2.", "Marine layer........1000.", "Haines Index........3 or very low potential for large plume dominated fire growth.", ".SATURDAY...", "Sky/weather.........Sunny (0-5 percent). Chance of rain showers.", "Begin/end of pcpn...", "Max temperature.....Around 79.", "Min humidity........0 percent.", "Dewpoint............0.", "Wind (20 ft)........", "Slope/valley.......Northwest winds around 12 mph.", "Eye level winds.....Northwest winds around 12 mph.", "Wind shift..........", "Ridgetop...........Northwest around 10 mph.", "Surrounding ridge..Northwest around 10 mph.", "CWR.................30 percent.", "Chance of pcpn......90 percent.", "LAL.................1.", "Mixing height.......100 ft AGL.", "Mixing winds........Northwest around 12 mph.", "Mixing height.......100 ft AGL.", "Mixing winds........Northwest around 12 mph.", "Dispersion index....6.", "LVORI...............6.", "Dispersion..........6.", "Smoke dispersal.....Good (50000 knot-ft).", "Stability class.....1.", "Marine layer........2000.", "Haines Index........4 or low potential for large plume dominated fire growth.", "$$", "FORECASTER...Forecaster C", "Requested by...YYYY", "Type of request...Prescribed", ], }, { "name":"FWS_Hourly_Sky_Table", "productType":"FWS", "commentary": "Test Hourly Sky Table", "createGrids": Sky_createGrids, "cmdLineVars": "{('Product Issuance:', 'productIssuance'): 'Morning', ('Issued By', 'issuedBy'): None, ('Agency:', 'requestingAgency'): 'Agency 1', ('Tomorrow Elements', 'tomorrowElements'): ['Sky/weather'], ('Fire Longitude (Deg)...................', 'fireLongitude'): 82.19, ('WebSiteTag:', 'webSiteTag'): '', ('Check Items to Include:', 'extendedQuestions'): [], ('Forecaster:', 'forecaster'): ['FORECASTER C'], ('Type of Fire:', 'fireType'): 'PRESCRIBED', ('Name of Agency Contact..........', 'agencyContact'): 'yyyy', ('Today Elements', 'todayElements'): ['Sky/weather'], ('Fire Latitude (Deg).......................', 'fireLatitude'): 28.27, ('WFOid:', 'wfoID'): '', ('Fire Size (Acres) .........................', 'fireSize'): .005, ('Name of Fire ...................................', 'fireName'): 'xxxx', ('Tonight Elements', 'tonightElements'): ['Sky/weather'], ('Creation Date', 'creationDate'): '', ('Creation Time', 'creationTime'): '', ('What Type of Forecast?', 'forecastType'): 'Tabular Only', ('Include Ignition Times?', 'withIgnitionTimes'): 'no', ('Name of Agency if not listed....', 'otherAgencyName'): 'xxxx', ('Date of Fire .....................................', 'fireDate'): '1/1/10', ('Time of Fire .....................................', 'fireTime'): '0600', ('Tab Hrs', 'todayTableRes'): 1, ('Tab Hrs', 'tonightTableRes'): 1, ('Tab Hrs', 'tomorrowTableRes'): 1, ('TimeZone:', 'fireTZ'): 'EST5EDT'}", "fileChanges":[ ("FWS_<site>_Definition", "TextUtility", "add", definition3, "undo"), ], "checkStrings": [ ".TODAY...", "Time (EST) 6AM 7AM 8AM 9AM 10A 11A 12P 1PM 2PM 3PM 4PM 5PM", "Sky (%).........MCR MCR MCR MCR MCR MCR MCR MCR MCR MCR MCR MCR", ".TONIGHT...", "Time (EST) 6PM 7PM 8PM 9PM 10P 11P Mid 1AM 2AM 3AM 4AM 5AM", "Sky (%).........PC PC PC PC PC PC PC PC PC PC PC PC", ".SATURDAY...", "Time (EST) 6AM 7AM 8AM 9AM 10A 11A 12P 1PM 2PM 3PM 4PM 5PM", "Sky (%).........MC MC MC MC MC MC MC MC MC MC MC MC", ], }, # FIXME: these tests cause the auto test process to crash. # # { # "name":"FWS_StqInput_0", # "productType":"FWS", # "commentary": "Testing an StqProduct as input", # "createGrids": FWS_createGrids, # "cmdLineVars":"_processVariableList", # "callVariables": {"testIndex":0}, # "fileChanges": [ # ("FWS_<site>_Overrides", "TextUtility", "add", testProcVarList1, "undo"), # ("FWS_<site>_Definition", "TextUtility", "add", definition0, "undo"), # ], # "checkStrings": [ # "IFPS TEST 0", # ".TODAY...", # "Sky/weather.........Cloudy (95-100 percent). Patchy dense fog.", # "CWR.................0 percent.", # "Max temperature.....Around 78.", # "Eye level winds.....North winds around 6 mph.", # "Mixing height.......100 ft AGL.", # "Transport winds.....Southwest around 12 mph.", # "Min humidity........65 percent.", # "Wind (20 ft)........North winds around 6 mph with gusts to around 30 mph", # # ".SATURDAY...", # "Sky/weather.........Sunny (0-5 percent). Chance of showers.", # "CWR.................30 percent.", # "Max temperature.....Around 79. ", # "Min humidity........68 percent. ", # "Wind (20 ft)........Northwest winds around 12 mph.", # "Eye level winds.....Northwest winds around 12 mph.", # ], # }, # # { # "name":"FWS_StqInput_1", # "productType":"FWS", # "commentary": "Testing an StqProduct as input", # "cmdLineVars":"_processVariableList", # "callVariables": {"testIndex":1}, # "fileChanges": [ # ("FWS_<site>_Overrides", "TextUtility", "add", testProcVarList1, "undo"), # ("FWS_<site>_Definition", "TextUtility", "add", definition0, "undo"), # ], # "checkStrings": [ # "IFPS TEST 1", # ".TODAY...", # "Sky/weather.........Cloudy (95-100 percent). Patchy dense fog.", # "CWR.................0 percent", # "Max temperature.....Around 78.", # "Min humidity........65 percent.", # "Eye level winds.....North winds around 6 mph.", # "Mixing height.......100 ft AGL.", # "Transport winds.....Southwest around 12 mph.", # # ".SATURDAY...", # "Sky/weather.........Sunny (0-5 percent). Chance of showers.", # "CWR.................30 percent.", # # ], # }, # # { # "name":"FWS_StqInput_2", # "productType":"FWS", # "commentary": "Testing an StqProduct as input", # "cmdLineVars":"_processVariableList", # "callVariables": {"testIndex":2}, # "fileChanges": [ # ("FWS_<site>_Overrides", "TextUtility", "add", testProcVarList1, "undo"), # ("FWS_<site>_Definition", "TextUtility", "add", definition0, "undo"), # ], # "checkStrings": [ # "IFPS TEST 2", # ".TODAY...", # "Sky/weather.........Cloudy (95-100 percent). Patchy dense fog.", # "CWR.................0 percent", # "Max temperature.....Around 78.", # "Min humidity........65 percent.", # "Eye level winds.....North winds around 6 mph.", # "Mixing height.......100 ft AGL.", # "Transport winds.....Southwest around 12 mph.", # # ".TONIGHT...", # "Sky/weather.........Cloudy (90-100 percent). Widespread thunderstorms.", # "CWR.................20 percent.", # "Min temperature.....Around 60.", # "Max humidity........78 percent.", # # ".SATURDAY...", # "Sky/weather.........Sunny (0-5 percent). Chance of showers.", # "CWR.................30 percent.", # ], # }, # { # "name":"FWS_StqInput_3", # "productType":"FWS", # "commentary": "Testing an StqProduct as input", # "cmdLineVars":"_processVariableList", # "callVariables": {"testIndex":3}, # "fileChanges": [ # ("FWS_<site>_Overrides", "TextUtility", "add", testProcVarList1, "undo"), # ("FWS_<site>_Definition", "TextUtility", "add", definition0, "undo"), # ], # "checkStrings": [ # "IFPS TEST 3", # ".TODAY...", # "Sky/weather.........Cloudy (95-100 percent). Patchy dense fog.", # "CWR.................0 percent", # "Max temperature.....Around 78.", # "Min humidity........65 percent.", # # ".TONIGHT...", # "Sky/weather.........Cloudy (90-100 percent). Widespread thunderstorms.", # "CWR.................20 percent.", # "Min temperature.....Around 60.", # "Max humidity........78 percent.", # # ".SATURDAY...", # "Sky/weather.........Sunny (0-5 percent). Chance of showers.", # "CWR.................30 percent.", # ], # }, # { # "name":"FWS_StqInput_4", # "productType":"FWS", # "commentary": "Testing an StqProduct as input", # "cmdLineVars":"_processVariableList", # "callVariables": {"testIndex":4}, # "fileChanges": [ # ("FWS_<site>_Overrides", "TextUtility", "add", testProcVarList1, "undo"), # ("FWS_<site>_Definition", "TextUtility", "add", definition0, "undo"), # ], # "checkStrings": [ # "IFPS TEST 4", # ".TODAY...", # "Sky/weather.........Cloudy (95-100 percent). Patchy dense fog.", # "CWR.................0 percent", # "Max temperature.....Around 78.", # "Min humidity........65 percent.", # "Eye level winds.....North winds around 6 mph.", # "Mixing height.......100 ft AGL.", # "Transport winds.....Southwest around 12 mph.", # "Smoke dispersal.....Excellent (160000 knot-ft).", # "Stability class.....1.", # "Marine layer........1000.", # "Haines Index........2 or very low potential for large plume dominated fire growth.", # # ".TONIGHT...", # "Sky/weather.........Cloudy (90-100 percent). Widespread thunderstorms.", # "CWR.................20 percent.", # "Min temperature.....Around 60.", # "Max humidity........78 percent.", # "Smoke dispersal.....Excellent (100000 knot-ft).", # "Stability class.....2.", # "Marine layer........1000.", # "Haines Index........3 or very low potential for large plume dominated fire growth.", # # ".SATURDAY...", # "Sky/weather.........Sunny (0-5 percent). Chance of showers.", # "CWR.................30 percent.", # "Smoke dispersal.....Good (50000 knot-ft).", # "Stability class.....1.", # "Marine layer........2000.", # "Haines Index........4 or low potential for large plume dominated fire growth", # ], # }, # { # "name":"FWS_StqInput_5", # "productType":"FWS", # "commentary": "Testing an StqProduct as input", # "cmdLineVars":"_processVariableList", # "callVariables": {"testIndex":5}, # "fileChanges": [ # ("FWS_<site>_Overrides", "TextUtility", "add", testProcVarList1, "undo"), # ("FWS_<site>_Definition", "TextUtility", "add", definition0, "undo"), # ], # "checkStrings": [ # "IFPS TEST 5", # ".TODAY...", # "Sky/weather.........Cloudy (95-100 percent). Patchy dense fog.", # "CWR.................0 percent", # "Max temperature.....Around 78.", # "Min humidity........65 percent.", # "Eye level winds.....North winds around 6 mph.", # "Mixing height.......100 ft AGL.", # "Transport winds.....Southwest around 12 mph.", # "Smoke dispersal.....Excellent (160000 knot-ft).", # "Stability class.....1.", # "Marine layer........1000.", # "Haines Index........2 or very low potential for large plume dominated fire growth.", # # ".TONIGHT...", # "Sky/weather.........Cloudy (90-100 percent). Widespread thunderstorms.", # "CWR.................20 percent.", # "Min temperature.....Around 60.", # "Max humidity........78 percent.", # "Smoke dispersal.....Excellent (100000 knot-ft).", # "Stability class.....2.", # "Marine layer........1000.", # "Haines Index........3 or very low potential for large plume dominated fire growth.", # # ".SATURDAY...", # "Sky/weather.........Sunny (0-5 percent). Chance of showers.", # "CWR.................30 percent.", # ], # }, # { # "name":"FWS_StqInput_6", # "productType":"FWS", # "commentary": "Testing an StqProduct as input", # "cmdLineVars":"_processVariableList", # "callVariables": {"testIndex":6}, # "fileChanges": [ # ("FWS_<site>_Overrides", "TextUtility", "add", testProcVarList1, "undo"), # ("FWS_<site>_Definition", "TextUtility", "add", definition0, "undo"), # ], # "checkStrings": [ # "IFPS TEST 6", # ".TODAY...", # "Sky/weather.........Cloudy (95-100 percent). Patchy dense fog.", # "CWR.................0 percent", # "Max temperature.....Around 78.", # "Min humidity........65 percent.", # "Eye level winds.....North winds around 6 mph.", # "Mixing height.......100 ft AGL.", # "Transport winds.....Southwest around 12 mph.", # "Smoke dispersal.....Excellent (160000 knot-ft).", # "Stability class.....1.", # "Marine layer........1000.", # "Haines Index........2 or very low potential for large plume dominated fire growth.", # # ".TONIGHT...", # "Sky/weather.........Cloudy (90-100 percent). Widespread thunderstorms.", # "CWR.................20 percent.", # "Min temperature.....Around 60.", # "Max humidity........78 percent.", # # ".SATURDAY...", # "Sky/weather.........Sunny (0-5 percent). Chance of showers.", # "CWR.................30 percent.", # ], # }, # { # "name":"FWS_StqInput_7", # "productType":"FWS", # "commentary": "Testing an StqProduct as input", # "cmdLineVars":"_processVariableList", # "callVariables": {"testIndex":7}, # "fileChanges": [ # ("FWS_<site>_Overrides", "TextUtility", "add", testProcVarList1, "undo"), # ("FWS_<site>_Definition", "TextUtility", "add", definition0, "undo"), # ], # "checkStrings": [ # "IFPS TEST 7", # ".TODAY...", # "Sky/weather.........Cloudy (95-100 percent). Patchy dense fog.", # "CWR.................0 percent", # "Max temperature.....Around 78.", # "Min humidity........65 percent.", # "Eye level winds.....North winds around 6 mph.", # "Mixing height.......100 ft AGL.", # "Transport winds.....Southwest around 12 mph.", # "Smoke dispersal.....Excellent (160000 knot-ft).", # "Stability class.....1.", # "Marine layer........1000.", # "Haines Index........2 or very low potential for large plume dominated fire growth.", # # ".TONIGHT...", # "Sky/weather.........Cloudy (90-100 percent). Widespread thunderstorms.", # "CWR.................20 percent.", # "Min temperature.....Around 60.", # "Max humidity........78 percent.", # # ".SATURDAY...", # "Sky/weather.........Sunny (0-5 percent). Chance of showers.", # "CWR.................30 percent.", # "Smoke dispersal.....Good (50000 knot-ft).", # "Stability class.....1.", # "Marine layer........2000.", # "Haines Index........4 or low potential for large plume dominated fire growth.", # "Requested by...Virgil Middendorf", # "Type of request...Prescribed", # ".TAG 20041013.IFPST.01/BYZ", # ], # }, # { # "name":"FWS_StqInput_8", # "productType":"FWS", # "commentary": "Testing an StqProduct as input", # "cmdLineVars":"_processVariableList", # "callVariables": {"testIndex":8}, # "fileChanges": [ # ("FWS_<site>_Overrides", "TextUtility", "add", testProcVarList1, "undo"), # ("FWS_<site>_Definition", "TextUtility", "add", definition0, "undo"), # ], # "checkStrings": [ # "IFPS TEST 8", # ".TODAY...", # "Sky/weather.........Cloudy (95-100 percent). Patchy dense fog.", # "CWR.................0 percent", # "Max temperature.....Around 78.", # "Min humidity........65 percent.", # "Eye level winds.....North winds around 6 mph.", # "Mixing height.......100 ft AGL.", # "Transport winds.....Southwest around 12 mph.", # # ".TONIGHT...", # "Sky/weather.........Cloudy (90-100 percent). Widespread thunderstorms.", # "CWR.................20 percent.", # "Min temperature.....Around 60.", # "Max humidity........78 percent.", # ], # "notCheckStrings": [ # ".SATURDAY...", # ], # }, # { # "name":"FWS_StqInput_9", # "productType":"FWS", # "commentary": "Testing an StqProduct as input", # "cmdLineVars":"_processVariableList", # "callVariables": {"testIndex":9}, # "fileChanges": [ # ("FWS_<site>_Overrides", "TextUtility", "add", testProcVarList1, "undo"), # ("FWS_<site>_Definition", "TextUtility", "add", definition0, "undo"), # ], # "checkStrings": [ # "IFPS TEST 9", # ".TONIGHT...", # "Sky/weather.........Cloudy (90-100 percent). Widespread thunderstorms.", # "CWR.................20 percent.", # "Min temperature.....Around 60.", # "Max humidity........78 percent.", # # ".SATURDAY...", # "Sky/weather.........Sunny (0-5 percent). Chance of showers.", # "CWR.................30 percent.", # # ], # "notCheckStrings": [ # ".TODAY...", # ], # }, # # # { # "name":"FWS_StqInput_10", # "productType":"FWS", # "commentary": "Testing an StqProduct as input", # "cmdLineVars":"_processVariableList", # "callVariables": {"testIndex":0, "setIssuance": "Morning Update"}, # "fileChanges": [ # ("FWS_<site>_Overrides", "TextUtility", "add", testProcVarList1, "undo"), # ("FWS_<site>_Definition", "TextUtility", "add", definition0, "undo"), # ], # "drtHour": 10, # "checkStrings": [ # "IFPS TEST 0", # ".REST OF TODAY...", # "Sky/weather.........Cloudy (95-100 percent). Patchy dense fog.", # "CWR.................0 percent", # "Max temperature.....Around 78.", # "Eye level winds.....North winds around 6 mph.", # "Mixing height.......100 ft AGL.", # "Transport winds.....Southwest around 12 mph.", # "Min humidity........65 percent.", # "Wind (20 ft)........North winds around 6 mph with gusts to around 30 mph.", # # ".SATURDAY...", # "Sky/weather.........Sunny (0-5 percent). Chance of showers.", # "CWR.................30 percent.", # "Max temperature.....Around 79.", # "Min humidity........68 percent.", # "Wind (20 ft)........Northwest winds around 12 mph.", # "Eye level winds.....Northwest winds around 12 mph." , # # ], # }, # # { # "name":"FWS_StqInput_11", # "productType":"FWS", # "commentary": "Testing an StqProduct as input", # "cmdLineVars":"_processVariableList", # "callVariables": {"testIndex":1, "setIssuance": "Afternoon"}, # "fileChanges": [ # ("FWS_<site>_Overrides", "TextUtility", "add", testProcVarList1, "undo"), # ("FWS_<site>_Definition", "TextUtility", "add", definition0, "undo"), # ], # "checkStrings": [ # "IFPS TEST 1", # ".SATURDAY...", # "Sky/weather.........Sunny (0-5 percent). Chance of showers.", # "CWR.................30 percent.", # ], # "notCheckStrings": [ # ".TODAY...", ".TONIGHT...", # ], # }, # # { # "name":"FWS_StqInput_12", # "productType":"FWS", # "commentary": "Testing an StqProduct as input", # "cmdLineVars":"_processVariableList", # "callVariables": {"testIndex":2, "setIssuance": "Evening Update"}, # "fileChanges": [ # ("FWS_<site>_Overrides", "TextUtility", "add", testProcVarList1, "undo"), # ("FWS_<site>_Definition", "TextUtility", "add", definition0, "undo"), # ], # "drtHour": 20, # "checkStrings": [ # "IFPS TEST 2", # ".REST OF TONIGHT...", # "Sky/weather.........Cloudy (90-100 percent). Widespread thunderstorms.", # "CWR.................20 percent.", # "Min temperature.....Around 60.", # "Max humidity........78 percent.", # # ".SATURDAY...", # "Sky/weather.........Sunny (0-5 percent). Chance of showers.", # "CWR.................30 percent.", # ], # "notCheckStrings": [ # ".TODAY...", # ], # }, # { # "name":"FWS_StqInput_13", # "productType":"FWS", # "commentary": "Testing an StqProduct as input", # "cmdLineVars":"_processVariableList", # "callVariables": {"testIndex":3, "setIssuance": "Early Morning Update"}, # "fileChanges": [ # ("FWS_<site>_Overrides", "TextUtility", "add", testProcVarList1, "undo"), # ("FWS_<site>_Definition", "TextUtility", "add", definition0, "undo"), # ], # "drtHour": 2, # "checkStrings": [ # "IFPS TEST 3", # ".REST OF TONIGHT...", # "CWR.................0 percent", # "Min temperature.....Around 40.", # "Max humidity........60 percent.", # # ".FRIDAY...", # "Sky/weather.........Cloudy (95-100 percent). Patchy dense fog.", # "CWR.................0 percent", # ], # }, # # { # "name":"FWS_StqInput_Known_Requestor", # "productType":"FWS", # "commentary": "Testing an StqProduct with known requesting agency", # "cmdLineVars":"_processVariableList", # "callVariables": {"testIndex":0}, # "fileChanges": [ # ("FWS_<site>_Overrides", "TextUtility", "add", testProcVarList1, "undo"), # ("FWS_<site>_Definition", "TextUtility", "add", definition0, "undo"), # ("FWS_<site>_Definition", "TextUtility", "add", definition4, "undo"), # ], # "checkStrings": [ # "IFPS TEST 0", # ".TODAY...", # "Sky/weather.........", # "CWR.................", # "Max temperature.....", # "Eye level winds.....", # "Mixing height.......", # "Transport winds.....", # "Min humidity........", # "Wind (20 ft)........", # ".SATURDAY...", # "Sky/weather.........", # "CWR.................", # "Max temperature.....", # "Min humidity........", # "Wind (20 ft)........", # "Eye level winds.....", # ], # }, { "name":"FWS_CleanUp", "commentary": "Clean out grids", "productType": None, "deleteGrids": [ ("Fcst", "FreeWind", "SFC", -24, 240), ("Fcst", "RH", "SFC", -24, 240), ("Fcst", "PoP", "SFC", -24, 240), ("Fcst", "MaxT", "SFC", -24, 280), ("Fcst", "MinT", "SFC", -24, 240), ("Fcst", "T", "SFC", -24, 240), ("Fcst", "Td", "SFC", -24, 240), ("Fcst", "WindChill", "SFC", -24, 240), ("Fcst", "HeatIndex", "SFC", -24, 240), ("Fcst", "Wind", "SFC", -24, 240), ("Fcst", "Sky", "SFC", -24, 240), ("Fcst", "WindGust", "SFC", -24, 240), ("Fcst", "Wx", "SFC", -24, 240), ("Fcst", "QPF", "SFC", -24, 240), ("Fcst", "SnowAmt", "SFC", -24, 240), ("Fcst", "MaxRH", "SFC", -24, 240), ("Fcst", "MinRH", "SFC", -24, 280), ("Fcst", "TransWind", "SFC", -24, 240), ("Fcst", "LAL", "SFC", -24, 240), ("Fcst", "CWR", "SFC", -24, 240), ("Fcst", "Haines", "SFC", -24, 240), ("Fcst", "MixHgt", "SFC", -24, 240), ("Fcst", "Wind20ft", "SFC", -24, 240), ("Fcst", "VentRate", "SFC", -24, 240), ("Fcst", "MarineLayer", "SFC", -24, 240), ("Fcst", "Stability", "SFC", -24, 240), ("Fcst", "HrsOfSun", "SFC", -24, 240), ("Fcst", "DSI", "SFC", -24, 240), ("Fcst", "RHtrend", "SFC", -24, 240), ("Fcst", "Ttrend", "SFC", -24, 240), ] }, ] def testScript(self, dataMgr, level="Site"): gridsStartTime = self.getAbsFromLocal(2010, 1, 1, 6, 0) drtTime = self.getAbsFromLocal(2010, 1, 1, 4, 0) defaults = { "gridsStartTime": gridsStartTime, "drtTime": drtTime, "orderStrings": 1, "internalStrip": 2, # To handle both tabular and narrative output } # Handle start times for different issuances for script in scripts: drtHour = script.get("drtHour", None) if drtHour is not None: script["drtTime"] = self.getAbsFromLocal(2010, 1, 1, drtHour, 0) return TestScript.generalTestScript(self, dataMgr, scripts, defaults, level=level)

51.518777

2,643

0.48044

19,500

176,967

4.341179

0.048769

0.028115

0.006911

0.006757

0.846975

0.797479

0.753878

0.738663

0.721983

0.716431

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0.084551

0.306814

176,967

3,434

2,644

51.53378

0.60553

0.111105

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0.631061

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0.018939

0.778393

0.079157

0

0.000291

0

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0.000379

false

0.000758

0.000379

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0.007576

0.001894

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null

0

1

0

1

0

1

0

null

0

8

27a68533840ed8b60ea23a361db37499a8d93c85

2,461

py

Python

Bioinformatics I/Week II/HammingDistance.py

egeulgen/Bioinformatics_Specialization

38581b471a54c41d780d9eeb26a7033eb57f3a01

[ "MIT" ]

3

2021-04-03T23:46:42.000Z

2021-08-08T01:19:32.000Z

Bioinformatics I/Week II/HammingDistance.py

egeulgen/Bioinformatics_Specialization

38581b471a54c41d780d9eeb26a7033eb57f3a01

[ "MIT" ]

null

Bioinformatics I/Week II/HammingDistance.py

egeulgen/Bioinformatics_Specialization

38581b471a54c41d780d9eeb26a7033eb57f3a01

[ "MIT" ]

null

def HammingDistance(p, q): mm = [p[i] != q[i] for i in range(len(p))] return sum(mm) p = 'CGAAACTCTAACCGAACAGCAGGGAGCATTACACCGTGAAGTAGTGTGGAGGACGGTAGTTACGAATCACGTAGTTACCTCACTGCAAATGTATGGATTTACTTCGCACCGAACAGTGACAAAATATAACTTATTTCTTATCCTCGCAACATACACTCGTTTCATCCTCAGCCTCTCGTGTCCCGTACACGTAGAACGCAGTGGCTGAAGTTCGCCTGTCGCAGAATCTTTCCTGTTATGGTGCGGCTTGAGGCTGAGACTTCGGACGGCTCTGTGCTAGGCGTGAATGTGGACTCCATGCAAGGCGGGCACCCTGGCACGGATCACCGGGCCGGTCCATTTTGTGATACCACCCCCGTCCGTCGAACACCGCGTAATTGAGTAAAACGTAAAGAACAGCCACGTGGGGTATATCTAAAAGAGTCGCAACGTTAACAGTGTGAATAACTTGGTATTCCTGAATCCCTAACGCGGCAAACATCGCCCCCCGTTGATACGCCTGCTACTCCGGTCTCTTGAGCTTCCTCGTCACTACTGCCCTGCGGGACTCCATGACACAACGTTTTCGGTGCAGACCGTCCCGTATTGGCAAATATAGTTATAAGGGATCGTCTAACGGTTTTTGTTATGCAAGGCTTGACTGTCGGATCAATACCAAGCCTGAGGTCGTCACGACACACTATTATAGCGTGCACTCGGGTGGACCAAATACATAGAAAGCGAGCATGCATCTGACATAGTTCTCGTTAAGATGCGTATCCGTGCTGAGTCAGCTCTGACGATTCATAGAAGCCCCCGGAATCGTTGCTATCGTAGCCGGATGATATTGGCGTGGGCAGAGCGTTGTGGCATTTCTTTGTCGATTGGATTGTGTCACTTCACGCAAATTCCGGCTACTCTGTTAGTTGCAGCTGCATCATTTGTAAAGTCAGTGCACGCAATCAATACGAAGGAGTGGTTGGCAGTGTTTTGTATGCAGAACCACGCGCAAATCCTTGTAGCTTTTTCAGGACCATCGATTAGCAGGGGGTGTTTCAGCAGGCTGCCCAGGATACCTAAACCATGGCCCACGGTACACCGACATCACGCAAATAAACAGACTACTGCGACTTGCGAATCGGAAAATCGTCAGCCGACGAATTGGGCCACGACTGGTGGATAACTCCCAT' q = 'GGCTTCGCCTAATTCGGAAATCGACTGGGGCGCGGATGTTGTTAATTGGGAAGTACGGTCTGGAACGTTATTTTTACATACCTTTGTGAGTGTGAAGTGGGCTTGCATTTACAATCTGAAATCTCATTAATTGATGTAACTAAATTAAGGATGAACATTGTGGTGAACTTGGTAAGTCAATGCGTGTACGAAGTATTGATTCTCTACAGTCCACATGGAATCGGAACTAAGGGCGCACGCGGCCCTACTGGTTGAATCGTGTTTGGGTCAAACGGCTTGAAAGTAGTATGAGCTGGGTCCCCAATGGTTACCGGTTATATCCGTTCATTTATTTAATGTCTGACCAGAAGTCGCACGTGGCTTCAGTCGATATTTTAGTGGAGCAATGGAGCGATGGATCCCTCTGGCTAGTGTTGTCTCAACCCATACCGATTTAATAACTCACAAAGCCCACAGAGTAGTATTCGACCTTCAACTTATGACATAGTACATGCTCAATACAGCGCCCTATTGCCAGTGCGCCATACCAGTACTATAGTTTCATTGCCCCACAGGGCACAGCTTTATATTAGCATTCCCCCCCTGGAGTATGGTCCCCCACCTGCGGTTGAGTGTGGCTACCATGACTGCGGCGATCTTATATGCCGCTGAATCAACATCGTTACTGAATCCTACGCCGTGTGTCCGGAATTCCCATGCCATTCCGAGCTGCAGTTCTAATAATAAGAAGCTTCCATTCCTGGACCGGCAGCCCCCCCTAGCCGGCCCCTAAGGTGCTACAATTCACGATGACCGTCTGCCCACTTGTTAGTTCGGGTTTCCGACCTGAATCCTCAGGAGACCGCTAATACCTGCTGGATGACTAGCCTATGCGACCTCAGATAGGGCGTATGTCCCTGGTCGAATAAGCGACGCGTAGATCCGAAGGTATACCTTCGACAATTGAAAGTACCAAGTATCGCGGATCGCCGGGTAACCTGTAAGTTGTTTATTCTCATGAGGGAAAGGTAACCGTAAGTGGCAACGGATCCCCTTTGCCAGAATCAAACTACGATTGTTTGAAACTTTTTTTACTGTGTTCATCCGTGGCCTGCAACACTGCCGATGACTAATTAAGACACGTCATAACGGCGTAAAAATCGAAACCTATCTTCACGGTTTATTCTGGT' HammingDistance(p, q)

351.571429

1,175

0.97887

25

2,461

96.36

0.56

0.013284

0.014114

0

0.009752

2,461

7

1,176

351.571429

0.98851

0

0.949634

0

1

0

1

0.166667

false

0

0.333333

0

1

0

1

null

0

1

0

1

null

1

0

8

e34dcdc7459c475570972f0d0d35e731a91b5ae0

279

py

Python

temboo/core/Library/Salesforce/Queries/__init__.py

jordanemedlock/psychtruths

52e09033ade9608bd5143129f8a1bfac22d634dd

[ "Apache-2.0" ]

7

2016-03-07T02:07:21.000Z

2022-01-21T02:22:41.000Z

temboo/core/Library/Salesforce/Queries/__init__.py

jordanemedlock/psychtruths

52e09033ade9608bd5143129f8a1bfac22d634dd

[ "Apache-2.0" ]

null

temboo/core/Library/Salesforce/Queries/__init__.py

jordanemedlock/psychtruths

52e09033ade9608bd5143129f8a1bfac22d634dd

[ "Apache-2.0" ]

8

2016-06-14T06:01:11.000Z

2020-04-22T09:21:44.000Z

from temboo.Library.Salesforce.Queries.GetNextResults import GetNextResults, GetNextResultsInputSet, GetNextResultsResultSet, GetNextResultsChoreographyExecution from temboo.Library.Salesforce.Queries.Query import Query, QueryInputSet, QueryResultSet, QueryChoreographyExecution

93

161

0.899642

22

279

11.409091

0.636364

0.079681

0.135458

0.215139

0.270916

0

0.050179

279

2

162

139.5

0.94717

0

1

0

true

0

1

0

1

0

1

0

1

null

0

1

0

1

0

1

0

null

0

1

0

1

0

1

0

8

8b5b4b28cd300472bb9134fa54d15b0df38b40c1

697

py

Python

custom_explainers/shap.py

kim0215/xai-bench

5bdccf5aeedaa743d398b2a028d189f72a83b3d3

[ "Apache-2.0" ]

null

custom_explainers/shap.py

kim0215/xai-bench

5bdccf5aeedaa743d398b2a028d189f72a83b3d3

[ "Apache-2.0" ]

null

custom_explainers/shap.py

kim0215/xai-bench

5bdccf5aeedaa743d398b2a028d189f72a83b3d3

[ "Apache-2.0" ]

null

import shap from shap import KernelExplainer class Shap: def __init__(self, f, X): self.f = f self.X = X self.explainer = shap.Explainer(self.f, self.X) def explain(self, x): shap_values = self.explainer(x) self.expected_values, shap_values = shap_values.base_values, shap_values.values return shap_values class KernelShap: def __init__(self, f, X): self.f = f self.X = X self.explainer = shap.KernelExplainer(self.f, self.X) def explain(self, x): shap_values = self.explainer(x) self.expected_values, shap_values = shap_values.base_values, shap_values.values return shap_values

25.814815

87

0.647059

96

697

4.46875

0.177083

0.2331

0.223776

0.055944

0.797203

0

0.261119

697

26

88

26.807692

0.83301

0

0.7

0

1

0.2

false

0

0.1

0

0.5

0

null

1

0

1

0

null

0

7

8b65b8c48ac3c2e51f8f90ef589d2e2394e926e7

3,708

py

Python

Audio model/Audio Network/models/VGG.py

MasterEndless/Final-year-project

ee9fc9e31a3b0855668077231de12da881c09035

[ "MIT" ]

null

Audio model/Audio Network/models/VGG.py

MasterEndless/Final-year-project

ee9fc9e31a3b0855668077231de12da881c09035

[ "MIT" ]

null

Audio model/Audio Network/models/VGG.py

MasterEndless/Final-year-project

ee9fc9e31a3b0855668077231de12da881c09035

[ "MIT" ]

null

import torch import torch.nn as nn from .BasicModule import BasicModule class VGG16(BasicModule): def __init__(self, in_channels=3, img_rows=224, num_classes=2): super(VGG16, self).__init__() self.model_name = 'VGG16' self.out_rows = img_rows / 32 self.feature = nn.Sequential( nn.Conv2d(3, 64, 3, 1, 1), nn.ReLU(inplace=True), nn.Conv2d(64, 64, 3, 1, 1), nn.ReLU(inplace=True), nn.MaxPool2d(2, 2), nn.Conv2d(64, 128, 3, 1, 1), nn.ReLU(inplace=True), nn.Conv2d(128, 128, 3, 1, 1), nn.ReLU(inplace=True), nn.MaxPool2d(2, 2), nn.Conv2d(128, 256, 3, 1, 1), nn.ReLU(inplace=True), nn.Conv2d(256, 256, 3, 1, 1), nn.ReLU(inplace=True), nn.Conv2d(256, 256, 3, 1, 1), nn.ReLU(inplace=True), nn.MaxPool2d(2, 2), nn.Conv2d(256, 512, 3, 1, 1), nn.ReLU(inplace=True), nn.Conv2d(512, 512, 3, 1, 1), nn.ReLU(inplace=True), nn.Conv2d(512, 512, 3, 1, 1), nn.ReLU(inplace=True), nn.MaxPool2d(2, 2), nn.Conv2d(512, 512, 3, 1, 1), nn.ReLU(inplace=True), nn.Conv2d(512, 512, 3, 1, 1), nn.ReLU(inplace=True), nn.Conv2d(512, 512, 3, 1, 1), nn.ReLU(inplace=True), nn.MaxPool2d(2, 2), ) self.classifier = nn.Sequential( nn.Linear(512*self.out_rows*self.out_rows, 4096), nn.ReLU(inplace=True), nn.Dropout(), nn.Linear(4096, 4096), nn.ReLU(inplace=True), nn.Dropout(), nn.Linear(4096, num_classes) ) self._initialize_weights() def forward(self, x): x = self.feature(x) x = x.view(x.size(0), -1) x = self.classifier(x) return x class VGG19(BasicModule): def __init__(self, in_channels=3, img_rows=224, num_classes=2): super(VGG19, self).__init__() self.model_name = 'VGG19' self.out_rows = img_rows / 32 self.feture = nn.Sequential( nn.Conv2d(3, 64, 3, 1, 1), nn.Conv2d(64, 64, 3, 1, 1), nn.MaxPool2d(2, 2), nn.Conv2d(64, 128, 3, 1, 1), nn.Conv2d(128, 128, 3, 1, 1), nn.MaxPool2d(2, 2), nn.Conv2d(128, 256, 3, 1, 1), nn.Conv2d(256, 256, 3, 1, 1), nn.Conv2d(256, 256, 3, 1, 1), nn.Conv2d(256, 256, 3, 1, 1), nn.MaxPool2d(2, 2), nn.Conv2d(256, 512, 3, 1, 1), nn.Conv2d(512, 512, 3, 1, 1), nn.Conv2d(512, 512, 3, 1, 1), nn.Conv2d(512, 512, 3, 1, 1), nn.MaxPool2d(2, 2), nn.Conv2d(512, 512, 3, 1, 1), nn.Conv2d(512, 512, 3, 1, 1), nn.Conv2d(512, 512, 3, 1, 1), nn.Conv2d(512, 512, 3, 1, 1), nn.MaxPool2d(2, 2), ) self.classifier = nn.Sequential( nn.Linear(512*self.out_rows*self.out_rows, 4096), nn.Linear(4096, 4096), nn.Linear(4096, num_classes) ) self._initialize_weights() def forward(self, x): x = self.feature(x) x = x.view(x.size(0), -1) x = self.classifier(x) return x

33.709091

67

0.442017

478

3,708

3.349372

0.106695

0.144909

0.054341

0.090568

0.929419

0.894441

0.86446

0.847595

0.811993

0

0.174074

0.417476

3,708

109

68

34.018349

0.56713

0

0.842105

0

0.002698

0

1

0.042105

false

0

0.031579

0

0.115789

0

null

0

1

0

1

0

null

0

7

8bbd59becf88f793d10272586cdae9f22c59a46b

148

py

Python

mush/tests/configparser.py

cjw296/mush

909d6bf7575ac2b778653b8eedc768f9962f0a56

[ "MIT" ]

null

mush/tests/configparser.py

cjw296/mush

909d6bf7575ac2b778653b8eedc768f9962f0a56

[ "MIT" ]

null

mush/tests/configparser.py

cjw296/mush

909d6bf7575ac2b778653b8eedc768f9962f0a56

[ "MIT" ]

null

import sys if sys.version_info[:2] > (3, 0): from configparser import RawConfigParser else: from ConfigParser import RawConfigParser

16.444444

44

0.722973

18

148

5.888889

0.666667

0.301887

0.415094

0.698113

0

0.025641

0.209459

148

8

45

18.5

0.880342

0

1

0

true

0

0.6

0

0.6

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

8