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# 27 Remove Element class Solution: def removeElement(self, nums, val): nums[:] = [x for x in nums if x != val] return len(nums)
class Solution: def remove_element(self, nums, val): nums[:] = [x for x in nums if x != val] return len(nums)
word_list = [ "taken", "table", "taxes", "taste", "tales", "tasty", "tally", "taboo", "tacit", "taxis", "taper", "tango", "tacky", "taint", "tawny", "taker", "taunt", "tarot", "tabor", "tardy", "talon", "tarry", "tabby", "taffy", "tapas", "tatty", "tanto", "tansy", "talus", "tater", "takin", "tabla", "taupe", "talky", "taiga", "tasse", "taxon", "tapir", "tarty", "tapis", "tanka", "tache", "tabun", "tawse", "tanga", "targe", "tabes", "taler", "tazza", "tacet", "taluk", "tarok", "tafia", "tails", "tahrs", "talcs", "talas", "talar", "takes", "takas", "tains", "tajes", "taces", "tabus", "taber", "tabid", "tacos", "tacks", "tachs", "taels", "tacts", "taroc", "taros", "tarre", "tarps", "tarns", "tares", "tardo", "tared", "tarts", "tarsi", "taped", "tapes", "tamal", "talks", "talls", "tamed", "tamer", "tames", "tamps", "tamis", "tammy", "tangs", "tangy", "tanks", "tazze", "taxus", "taxed", "tawer", "taxol" ] temp = False acc_words = [] for i in word_list: for k in i: if k in "eryuoshlb": temp = True if temp: print(i, ": No") temp = False else: print(i, ": Yes") acc_words.append(i) print("Possibilites: " , acc_words) # TACIT is right answer, i won
word_list = ['taken', 'table', 'taxes', 'taste', 'tales', 'tasty', 'tally', 'taboo', 'tacit', 'taxis', 'taper', 'tango', 'tacky', 'taint', 'tawny', 'taker', 'taunt', 'tarot', 'tabor', 'tardy', 'talon', 'tarry', 'tabby', 'taffy', 'tapas', 'tatty', 'tanto', 'tansy', 'talus', 'tater', 'takin', 'tabla', 'taupe', 'talky', 'taiga', 'tasse', 'taxon', 'tapir', 'tarty', 'tapis', 'tanka', 'tache', 'tabun', 'tawse', 'tanga', 'targe', 'tabes', 'taler', 'tazza', 'tacet', 'taluk', 'tarok', 'tafia', 'tails', 'tahrs', 'talcs', 'talas', 'talar', 'takes', 'takas', 'tains', 'tajes', 'taces', 'tabus', 'taber', 'tabid', 'tacos', 'tacks', 'tachs', 'taels', 'tacts', 'taroc', 'taros', 'tarre', 'tarps', 'tarns', 'tares', 'tardo', 'tared', 'tarts', 'tarsi', 'taped', 'tapes', 'tamal', 'talks', 'talls', 'tamed', 'tamer', 'tames', 'tamps', 'tamis', 'tammy', 'tangs', 'tangy', 'tanks', 'tazze', 'taxus', 'taxed', 'tawer', 'taxol'] temp = False acc_words = [] for i in word_list: for k in i: if k in 'eryuoshlb': temp = True if temp: print(i, ': No') temp = False else: print(i, ': Yes') acc_words.append(i) print('Possibilites: ', acc_words)
# # PySNMP MIB module LIVINGSTON-PM-GLOBAL-MIB (http://snmplabs.com/pysmi) # ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/LIVINGSTON-PM-GLOBAL-MIB # Produced by pysmi-0.3.4 at Mon Apr 29 19:56:56 2019 # On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4 # Using Python version 3.7.3 (default, Mar 27 2019, 09:23:15) # OctetString, ObjectIdentifier, Integer = mibBuilder.importSymbols("ASN1", "OctetString", "ObjectIdentifier", "Integer") NamedValues, = mibBuilder.importSymbols("ASN1-ENUMERATION", "NamedValues") ConstraintsUnion, SingleValueConstraint, ConstraintsIntersection, ValueRangeConstraint, ValueSizeConstraint = mibBuilder.importSymbols("ASN1-REFINEMENT", "ConstraintsUnion", "SingleValueConstraint", "ConstraintsIntersection", "ValueRangeConstraint", "ValueSizeConstraint") lucentPMMib, = mibBuilder.importSymbols("LIVINGSTON-ROOT-MIB", "lucentPMMib") NotificationGroup, ModuleCompliance = mibBuilder.importSymbols("SNMPv2-CONF", "NotificationGroup", "ModuleCompliance") ObjectIdentity, MibIdentifier, MibScalar, MibTable, MibTableRow, MibTableColumn, NotificationType, TimeTicks, iso, Bits, Gauge32, Counter32, Integer32, Counter64, NotificationType, IpAddress, Unsigned32, ModuleIdentity = mibBuilder.importSymbols("SNMPv2-SMI", "ObjectIdentity", "MibIdentifier", "MibScalar", "MibTable", "MibTableRow", "MibTableColumn", "NotificationType", "TimeTicks", "iso", "Bits", "Gauge32", "Counter32", "Integer32", "Counter64", "NotificationType", "IpAddress", "Unsigned32", "ModuleIdentity") TextualConvention, DisplayString = mibBuilder.importSymbols("SNMPv2-TC", "TextualConvention", "DisplayString") lucentPMGlobal = MibIdentifier((1, 3, 6, 1, 4, 1, 307, 1, 2, 1)) lucentPMGenGlobParams = MibIdentifier((1, 3, 6, 1, 4, 1, 307, 1, 2, 1, 1)) lucentPMGenPriNameSrvr = MibScalar((1, 3, 6, 1, 4, 1, 307, 1, 2, 1, 1, 1), IpAddress()).setMaxAccess("readwrite") if mibBuilder.loadTexts: lucentPMGenPriNameSrvr.setStatus('mandatory') lucentPMGenAltNameSrvr = MibScalar((1, 3, 6, 1, 4, 1, 307, 1, 2, 1, 1, 3), IpAddress()).setMaxAccess("readwrite") if mibBuilder.loadTexts: lucentPMGenAltNameSrvr.setStatus('mandatory') lucentPMGenSyslogHost = MibScalar((1, 3, 6, 1, 4, 1, 307, 1, 2, 1, 1, 4), IpAddress()).setMaxAccess("readwrite") if mibBuilder.loadTexts: lucentPMGenSyslogHost.setStatus('mandatory') lucentPMGenAssignedAddr = MibScalar((1, 3, 6, 1, 4, 1, 307, 1, 2, 1, 1, 5), IpAddress()).setMaxAccess("readwrite") if mibBuilder.loadTexts: lucentPMGenAssignedAddr.setStatus('mandatory') lucentPMGenReportedAddr = MibScalar((1, 3, 6, 1, 4, 1, 307, 1, 2, 1, 1, 6), IpAddress()).setMaxAccess("readwrite") if mibBuilder.loadTexts: lucentPMGenReportedAddr.setStatus('mandatory') lucentPMGenNetMask = MibScalar((1, 3, 6, 1, 4, 1, 307, 1, 2, 1, 1, 7), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("disable", 1), ("enable", 2)))).setMaxAccess("readwrite") if mibBuilder.loadTexts: lucentPMGenNetMask.setStatus('mandatory') lucentPMGenNameSvc = MibScalar((1, 3, 6, 1, 4, 1, 307, 1, 2, 1, 1, 8), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3))).clone(namedValues=NamedValues(("none", 1), ("dns", 2), ("nis", 3)))).setMaxAccess("readwrite") if mibBuilder.loadTexts: lucentPMGenNameSvc.setStatus('mandatory') lucentPMGenDomainName = MibScalar((1, 3, 6, 1, 4, 1, 307, 1, 2, 1, 1, 9), DisplayString()).setMaxAccess("readwrite") if mibBuilder.loadTexts: lucentPMGenDomainName.setStatus('mandatory') lucentPMGenTelnetPortNum = MibScalar((1, 3, 6, 1, 4, 1, 307, 1, 2, 1, 1, 10), Integer32()).setMaxAccess("readwrite") if mibBuilder.loadTexts: lucentPMGenTelnetPortNum.setStatus('mandatory') lucentPMGenMaxConsConn = MibScalar((1, 3, 6, 1, 4, 1, 307, 1, 2, 1, 1, 11), Integer32()).setMaxAccess("readwrite") if mibBuilder.loadTexts: lucentPMGenMaxConsConn.setStatus('mandatory') lucentPMGenOSPF = MibScalar((1, 3, 6, 1, 4, 1, 307, 1, 2, 1, 1, 12), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("disable", 1), ("enable", 2)))).setMaxAccess("readwrite") if mibBuilder.loadTexts: lucentPMGenOSPF.setStatus('mandatory') lucentPMGenBGP = MibScalar((1, 3, 6, 1, 4, 1, 307, 1, 2, 1, 1, 13), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("disable", 1), ("enable", 2)))).setMaxAccess("readwrite") if mibBuilder.loadTexts: lucentPMGenBGP.setStatus('mandatory') lucentPMGenIPX = MibScalar((1, 3, 6, 1, 4, 1, 307, 1, 2, 1, 1, 14), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("disable", 1), ("enable", 2)))).setMaxAccess("readwrite") if mibBuilder.loadTexts: lucentPMGenIPX.setStatus('mandatory') lucentPMGenNetBIOS = MibScalar((1, 3, 6, 1, 4, 1, 307, 1, 2, 1, 1, 15), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("disable", 1), ("enable", 2)))).setMaxAccess("readwrite") if mibBuilder.loadTexts: lucentPMGenNetBIOS.setStatus('mandatory') lucentPMGenCallCheck = MibScalar((1, 3, 6, 1, 4, 1, 307, 1, 2, 1, 1, 16), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("disable", 1), ("enable", 2)))).setMaxAccess("readwrite") if mibBuilder.loadTexts: lucentPMGenCallCheck.setStatus('mandatory') lucentPMRadiusMgmt = MibIdentifier((1, 3, 6, 1, 4, 1, 307, 1, 2, 1, 2)) lucentPMRadiusPriIP = MibScalar((1, 3, 6, 1, 4, 1, 307, 1, 2, 1, 2, 1), IpAddress()).setMaxAccess("readwrite") if mibBuilder.loadTexts: lucentPMRadiusPriIP.setStatus('mandatory') lucentPMRadiusAltIP = MibScalar((1, 3, 6, 1, 4, 1, 307, 1, 2, 1, 2, 2), IpAddress()).setMaxAccess("readwrite") if mibBuilder.loadTexts: lucentPMRadiusAltIP.setStatus('mandatory') lucentPMRadiusPriAcctIP = MibScalar((1, 3, 6, 1, 4, 1, 307, 1, 2, 1, 2, 3), IpAddress()).setMaxAccess("readwrite") if mibBuilder.loadTexts: lucentPMRadiusPriAcctIP.setStatus('mandatory') lucentPMRadiusAltAcctIP = MibScalar((1, 3, 6, 1, 4, 1, 307, 1, 2, 1, 2, 4), IpAddress()).setMaxAccess("readwrite") if mibBuilder.loadTexts: lucentPMRadiusAltAcctIP.setStatus('mandatory') lucentPMRadiusPriPort = MibScalar((1, 3, 6, 1, 4, 1, 307, 1, 2, 1, 2, 5), Integer32()).setMaxAccess("readwrite") if mibBuilder.loadTexts: lucentPMRadiusPriPort.setStatus('mandatory') lucentPMRadiusAltPort = MibScalar((1, 3, 6, 1, 4, 1, 307, 1, 2, 1, 2, 6), Integer32()).setMaxAccess("readwrite") if mibBuilder.loadTexts: lucentPMRadiusAltPort.setStatus('mandatory') lucentPMRadiusPriAcctPort = MibScalar((1, 3, 6, 1, 4, 1, 307, 1, 2, 1, 2, 7), Integer32()).setMaxAccess("readwrite") if mibBuilder.loadTexts: lucentPMRadiusPriAcctPort.setStatus('mandatory') lucentPMRadiusAltAcctPort = MibScalar((1, 3, 6, 1, 4, 1, 307, 1, 2, 1, 2, 8), IpAddress()).setMaxAccess("readwrite") if mibBuilder.loadTexts: lucentPMRadiusAltAcctPort.setStatus('mandatory') lucentPMRadiusAuthFails = MibScalar((1, 3, 6, 1, 4, 1, 307, 1, 2, 1, 2, 9), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: lucentPMRadiusAuthFails.setStatus('mandatory') lucentPMRadiusRetrans = MibScalar((1, 3, 6, 1, 4, 1, 307, 1, 2, 1, 2, 10), Integer32()).setMaxAccess("readwrite") if mibBuilder.loadTexts: lucentPMRadiusRetrans.setStatus('mandatory') lucentPMRadiusTimeout = MibScalar((1, 3, 6, 1, 4, 1, 307, 1, 2, 1, 2, 11), Integer32()).setMaxAccess("readwrite") if mibBuilder.loadTexts: lucentPMRadiusTimeout.setStatus('mandatory') lucentPMRadiusAuth = MibScalar((1, 3, 6, 1, 4, 1, 307, 1, 2, 1, 2, 12), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("enabled", 1), ("disabled", 2)))).setMaxAccess("readwrite") if mibBuilder.loadTexts: lucentPMRadiusAuth.setStatus('mandatory') lucentPMRadiusSecret = MibScalar((1, 3, 6, 1, 4, 1, 307, 1, 2, 1, 2, 13), OctetString().subtype(subtypeSpec=ValueSizeConstraint(1, 15))).setMaxAccess("writeonly") if mibBuilder.loadTexts: lucentPMRadiusSecret.setStatus('mandatory') lucentPMChoiceNetMgmt = MibIdentifier((1, 3, 6, 1, 4, 1, 307, 1, 2, 1, 3)) lucentPMChoiceNetPriIP = MibScalar((1, 3, 6, 1, 4, 1, 307, 1, 2, 1, 3, 1), IpAddress()).setMaxAccess("readwrite") if mibBuilder.loadTexts: lucentPMChoiceNetPriIP.setStatus('mandatory') lucentPMChoiceNetAltIP = MibScalar((1, 3, 6, 1, 4, 1, 307, 1, 2, 1, 3, 2), IpAddress()).setMaxAccess("readwrite") if mibBuilder.loadTexts: lucentPMChoiceNetAltIP.setStatus('mandatory') lucentPMChoiceNetPriPort = MibScalar((1, 3, 6, 1, 4, 1, 307, 1, 2, 1, 3, 3), Integer32()).setMaxAccess("readwrite") if mibBuilder.loadTexts: lucentPMChoiceNetPriPort.setStatus('mandatory') lucentPMChoiceNetAltPort = MibScalar((1, 3, 6, 1, 4, 1, 307, 1, 2, 1, 3, 4), Integer32()).setMaxAccess("readwrite") if mibBuilder.loadTexts: lucentPMChoiceNetAltPort.setStatus('mandatory') lucentPMChoiceNetSecret = MibScalar((1, 3, 6, 1, 4, 1, 307, 1, 2, 1, 3, 5), OctetString().subtype(subtypeSpec=ValueSizeConstraint(1, 15))).setMaxAccess("writeonly") if mibBuilder.loadTexts: lucentPMChoiceNetSecret.setStatus('mandatory') mibBuilder.exportSymbols("LIVINGSTON-PM-GLOBAL-MIB", lucentPMGenAltNameSrvr=lucentPMGenAltNameSrvr, lucentPMChoiceNetPriPort=lucentPMChoiceNetPriPort, lucentPMRadiusTimeout=lucentPMRadiusTimeout, lucentPMGlobal=lucentPMGlobal, lucentPMRadiusPriPort=lucentPMRadiusPriPort, lucentPMRadiusPriAcctIP=lucentPMRadiusPriAcctIP, lucentPMRadiusMgmt=lucentPMRadiusMgmt, lucentPMGenMaxConsConn=lucentPMGenMaxConsConn, lucentPMRadiusAltAcctIP=lucentPMRadiusAltAcctIP, lucentPMRadiusPriAcctPort=lucentPMRadiusPriAcctPort, lucentPMRadiusRetrans=lucentPMRadiusRetrans, lucentPMRadiusAltIP=lucentPMRadiusAltIP, lucentPMGenIPX=lucentPMGenIPX, lucentPMGenCallCheck=lucentPMGenCallCheck, lucentPMChoiceNetSecret=lucentPMChoiceNetSecret, lucentPMRadiusAuthFails=lucentPMRadiusAuthFails, lucentPMGenGlobParams=lucentPMGenGlobParams, lucentPMRadiusSecret=lucentPMRadiusSecret, lucentPMGenTelnetPortNum=lucentPMGenTelnetPortNum, lucentPMChoiceNetAltIP=lucentPMChoiceNetAltIP, lucentPMGenReportedAddr=lucentPMGenReportedAddr, lucentPMGenNetMask=lucentPMGenNetMask, lucentPMGenOSPF=lucentPMGenOSPF, lucentPMGenNetBIOS=lucentPMGenNetBIOS, lucentPMGenDomainName=lucentPMGenDomainName, lucentPMGenAssignedAddr=lucentPMGenAssignedAddr, lucentPMChoiceNetAltPort=lucentPMChoiceNetAltPort, lucentPMGenPriNameSrvr=lucentPMGenPriNameSrvr, lucentPMRadiusPriIP=lucentPMRadiusPriIP, lucentPMGenSyslogHost=lucentPMGenSyslogHost, lucentPMRadiusAltAcctPort=lucentPMRadiusAltAcctPort, lucentPMRadiusAltPort=lucentPMRadiusAltPort, lucentPMGenNameSvc=lucentPMGenNameSvc, lucentPMChoiceNetMgmt=lucentPMChoiceNetMgmt, lucentPMChoiceNetPriIP=lucentPMChoiceNetPriIP, lucentPMGenBGP=lucentPMGenBGP, lucentPMRadiusAuth=lucentPMRadiusAuth)
(octet_string, object_identifier, integer) = mibBuilder.importSymbols('ASN1', 'OctetString', 'ObjectIdentifier', 'Integer') (named_values,) = mibBuilder.importSymbols('ASN1-ENUMERATION', 'NamedValues') (constraints_union, single_value_constraint, constraints_intersection, value_range_constraint, value_size_constraint) = mibBuilder.importSymbols('ASN1-REFINEMENT', 'ConstraintsUnion', 'SingleValueConstraint', 'ConstraintsIntersection', 'ValueRangeConstraint', 'ValueSizeConstraint') (lucent_pm_mib,) = mibBuilder.importSymbols('LIVINGSTON-ROOT-MIB', 'lucentPMMib') (notification_group, module_compliance) = mibBuilder.importSymbols('SNMPv2-CONF', 'NotificationGroup', 'ModuleCompliance') (object_identity, mib_identifier, mib_scalar, mib_table, mib_table_row, mib_table_column, notification_type, time_ticks, iso, bits, gauge32, counter32, integer32, counter64, notification_type, ip_address, unsigned32, module_identity) = mibBuilder.importSymbols('SNMPv2-SMI', 'ObjectIdentity', 'MibIdentifier', 'MibScalar', 'MibTable', 'MibTableRow', 'MibTableColumn', 'NotificationType', 'TimeTicks', 'iso', 'Bits', 'Gauge32', 'Counter32', 'Integer32', 'Counter64', 'NotificationType', 'IpAddress', 'Unsigned32', 'ModuleIdentity') (textual_convention, display_string) = mibBuilder.importSymbols('SNMPv2-TC', 'TextualConvention', 'DisplayString') lucent_pm_global = mib_identifier((1, 3, 6, 1, 4, 1, 307, 1, 2, 1)) lucent_pm_gen_glob_params = mib_identifier((1, 3, 6, 1, 4, 1, 307, 1, 2, 1, 1)) lucent_pm_gen_pri_name_srvr = mib_scalar((1, 3, 6, 1, 4, 1, 307, 1, 2, 1, 1, 1), ip_address()).setMaxAccess('readwrite') if mibBuilder.loadTexts: lucentPMGenPriNameSrvr.setStatus('mandatory') lucent_pm_gen_alt_name_srvr = mib_scalar((1, 3, 6, 1, 4, 1, 307, 1, 2, 1, 1, 3), ip_address()).setMaxAccess('readwrite') if mibBuilder.loadTexts: lucentPMGenAltNameSrvr.setStatus('mandatory') lucent_pm_gen_syslog_host = mib_scalar((1, 3, 6, 1, 4, 1, 307, 1, 2, 1, 1, 4), ip_address()).setMaxAccess('readwrite') if mibBuilder.loadTexts: lucentPMGenSyslogHost.setStatus('mandatory') lucent_pm_gen_assigned_addr = mib_scalar((1, 3, 6, 1, 4, 1, 307, 1, 2, 1, 1, 5), ip_address()).setMaxAccess('readwrite') if mibBuilder.loadTexts: lucentPMGenAssignedAddr.setStatus('mandatory') lucent_pm_gen_reported_addr = mib_scalar((1, 3, 6, 1, 4, 1, 307, 1, 2, 1, 1, 6), ip_address()).setMaxAccess('readwrite') if mibBuilder.loadTexts: lucentPMGenReportedAddr.setStatus('mandatory') lucent_pm_gen_net_mask = mib_scalar((1, 3, 6, 1, 4, 1, 307, 1, 2, 1, 1, 7), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2))).clone(namedValues=named_values(('disable', 1), ('enable', 2)))).setMaxAccess('readwrite') if mibBuilder.loadTexts: lucentPMGenNetMask.setStatus('mandatory') lucent_pm_gen_name_svc = mib_scalar((1, 3, 6, 1, 4, 1, 307, 1, 2, 1, 1, 8), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2, 3))).clone(namedValues=named_values(('none', 1), ('dns', 2), ('nis', 3)))).setMaxAccess('readwrite') if mibBuilder.loadTexts: lucentPMGenNameSvc.setStatus('mandatory') lucent_pm_gen_domain_name = mib_scalar((1, 3, 6, 1, 4, 1, 307, 1, 2, 1, 1, 9), display_string()).setMaxAccess('readwrite') if mibBuilder.loadTexts: lucentPMGenDomainName.setStatus('mandatory') lucent_pm_gen_telnet_port_num = mib_scalar((1, 3, 6, 1, 4, 1, 307, 1, 2, 1, 1, 10), integer32()).setMaxAccess('readwrite') if mibBuilder.loadTexts: lucentPMGenTelnetPortNum.setStatus('mandatory') lucent_pm_gen_max_cons_conn = mib_scalar((1, 3, 6, 1, 4, 1, 307, 1, 2, 1, 1, 11), integer32()).setMaxAccess('readwrite') if mibBuilder.loadTexts: lucentPMGenMaxConsConn.setStatus('mandatory') lucent_pm_gen_ospf = mib_scalar((1, 3, 6, 1, 4, 1, 307, 1, 2, 1, 1, 12), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2))).clone(namedValues=named_values(('disable', 1), ('enable', 2)))).setMaxAccess('readwrite') if mibBuilder.loadTexts: lucentPMGenOSPF.setStatus('mandatory') lucent_pm_gen_bgp = mib_scalar((1, 3, 6, 1, 4, 1, 307, 1, 2, 1, 1, 13), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2))).clone(namedValues=named_values(('disable', 1), ('enable', 2)))).setMaxAccess('readwrite') if mibBuilder.loadTexts: lucentPMGenBGP.setStatus('mandatory') lucent_pm_gen_ipx = mib_scalar((1, 3, 6, 1, 4, 1, 307, 1, 2, 1, 1, 14), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2))).clone(namedValues=named_values(('disable', 1), ('enable', 2)))).setMaxAccess('readwrite') if mibBuilder.loadTexts: lucentPMGenIPX.setStatus('mandatory') lucent_pm_gen_net_bios = mib_scalar((1, 3, 6, 1, 4, 1, 307, 1, 2, 1, 1, 15), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2))).clone(namedValues=named_values(('disable', 1), ('enable', 2)))).setMaxAccess('readwrite') if mibBuilder.loadTexts: lucentPMGenNetBIOS.setStatus('mandatory') lucent_pm_gen_call_check = mib_scalar((1, 3, 6, 1, 4, 1, 307, 1, 2, 1, 1, 16), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2))).clone(namedValues=named_values(('disable', 1), ('enable', 2)))).setMaxAccess('readwrite') if mibBuilder.loadTexts: lucentPMGenCallCheck.setStatus('mandatory') lucent_pm_radius_mgmt = mib_identifier((1, 3, 6, 1, 4, 1, 307, 1, 2, 1, 2)) lucent_pm_radius_pri_ip = mib_scalar((1, 3, 6, 1, 4, 1, 307, 1, 2, 1, 2, 1), ip_address()).setMaxAccess('readwrite') if mibBuilder.loadTexts: lucentPMRadiusPriIP.setStatus('mandatory') lucent_pm_radius_alt_ip = mib_scalar((1, 3, 6, 1, 4, 1, 307, 1, 2, 1, 2, 2), ip_address()).setMaxAccess('readwrite') if mibBuilder.loadTexts: lucentPMRadiusAltIP.setStatus('mandatory') lucent_pm_radius_pri_acct_ip = mib_scalar((1, 3, 6, 1, 4, 1, 307, 1, 2, 1, 2, 3), ip_address()).setMaxAccess('readwrite') if mibBuilder.loadTexts: lucentPMRadiusPriAcctIP.setStatus('mandatory') lucent_pm_radius_alt_acct_ip = mib_scalar((1, 3, 6, 1, 4, 1, 307, 1, 2, 1, 2, 4), ip_address()).setMaxAccess('readwrite') if mibBuilder.loadTexts: lucentPMRadiusAltAcctIP.setStatus('mandatory') lucent_pm_radius_pri_port = mib_scalar((1, 3, 6, 1, 4, 1, 307, 1, 2, 1, 2, 5), integer32()).setMaxAccess('readwrite') if mibBuilder.loadTexts: lucentPMRadiusPriPort.setStatus('mandatory') lucent_pm_radius_alt_port = mib_scalar((1, 3, 6, 1, 4, 1, 307, 1, 2, 1, 2, 6), integer32()).setMaxAccess('readwrite') if mibBuilder.loadTexts: lucentPMRadiusAltPort.setStatus('mandatory') lucent_pm_radius_pri_acct_port = mib_scalar((1, 3, 6, 1, 4, 1, 307, 1, 2, 1, 2, 7), integer32()).setMaxAccess('readwrite') if mibBuilder.loadTexts: lucentPMRadiusPriAcctPort.setStatus('mandatory') lucent_pm_radius_alt_acct_port = mib_scalar((1, 3, 6, 1, 4, 1, 307, 1, 2, 1, 2, 8), ip_address()).setMaxAccess('readwrite') if mibBuilder.loadTexts: lucentPMRadiusAltAcctPort.setStatus('mandatory') lucent_pm_radius_auth_fails = mib_scalar((1, 3, 6, 1, 4, 1, 307, 1, 2, 1, 2, 9), counter32()).setMaxAccess('readonly') if mibBuilder.loadTexts: lucentPMRadiusAuthFails.setStatus('mandatory') lucent_pm_radius_retrans = mib_scalar((1, 3, 6, 1, 4, 1, 307, 1, 2, 1, 2, 10), integer32()).setMaxAccess('readwrite') if mibBuilder.loadTexts: lucentPMRadiusRetrans.setStatus('mandatory') lucent_pm_radius_timeout = mib_scalar((1, 3, 6, 1, 4, 1, 307, 1, 2, 1, 2, 11), integer32()).setMaxAccess('readwrite') if mibBuilder.loadTexts: lucentPMRadiusTimeout.setStatus('mandatory') lucent_pm_radius_auth = mib_scalar((1, 3, 6, 1, 4, 1, 307, 1, 2, 1, 2, 12), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2))).clone(namedValues=named_values(('enabled', 1), ('disabled', 2)))).setMaxAccess('readwrite') if mibBuilder.loadTexts: lucentPMRadiusAuth.setStatus('mandatory') lucent_pm_radius_secret = mib_scalar((1, 3, 6, 1, 4, 1, 307, 1, 2, 1, 2, 13), octet_string().subtype(subtypeSpec=value_size_constraint(1, 15))).setMaxAccess('writeonly') if mibBuilder.loadTexts: lucentPMRadiusSecret.setStatus('mandatory') lucent_pm_choice_net_mgmt = mib_identifier((1, 3, 6, 1, 4, 1, 307, 1, 2, 1, 3)) lucent_pm_choice_net_pri_ip = mib_scalar((1, 3, 6, 1, 4, 1, 307, 1, 2, 1, 3, 1), ip_address()).setMaxAccess('readwrite') if mibBuilder.loadTexts: lucentPMChoiceNetPriIP.setStatus('mandatory') lucent_pm_choice_net_alt_ip = mib_scalar((1, 3, 6, 1, 4, 1, 307, 1, 2, 1, 3, 2), ip_address()).setMaxAccess('readwrite') if mibBuilder.loadTexts: lucentPMChoiceNetAltIP.setStatus('mandatory') lucent_pm_choice_net_pri_port = mib_scalar((1, 3, 6, 1, 4, 1, 307, 1, 2, 1, 3, 3), integer32()).setMaxAccess('readwrite') if mibBuilder.loadTexts: lucentPMChoiceNetPriPort.setStatus('mandatory') lucent_pm_choice_net_alt_port = mib_scalar((1, 3, 6, 1, 4, 1, 307, 1, 2, 1, 3, 4), integer32()).setMaxAccess('readwrite') if mibBuilder.loadTexts: lucentPMChoiceNetAltPort.setStatus('mandatory') lucent_pm_choice_net_secret = mib_scalar((1, 3, 6, 1, 4, 1, 307, 1, 2, 1, 3, 5), octet_string().subtype(subtypeSpec=value_size_constraint(1, 15))).setMaxAccess('writeonly') if mibBuilder.loadTexts: lucentPMChoiceNetSecret.setStatus('mandatory') mibBuilder.exportSymbols('LIVINGSTON-PM-GLOBAL-MIB', lucentPMGenAltNameSrvr=lucentPMGenAltNameSrvr, lucentPMChoiceNetPriPort=lucentPMChoiceNetPriPort, lucentPMRadiusTimeout=lucentPMRadiusTimeout, lucentPMGlobal=lucentPMGlobal, lucentPMRadiusPriPort=lucentPMRadiusPriPort, lucentPMRadiusPriAcctIP=lucentPMRadiusPriAcctIP, lucentPMRadiusMgmt=lucentPMRadiusMgmt, lucentPMGenMaxConsConn=lucentPMGenMaxConsConn, lucentPMRadiusAltAcctIP=lucentPMRadiusAltAcctIP, lucentPMRadiusPriAcctPort=lucentPMRadiusPriAcctPort, lucentPMRadiusRetrans=lucentPMRadiusRetrans, lucentPMRadiusAltIP=lucentPMRadiusAltIP, lucentPMGenIPX=lucentPMGenIPX, lucentPMGenCallCheck=lucentPMGenCallCheck, lucentPMChoiceNetSecret=lucentPMChoiceNetSecret, lucentPMRadiusAuthFails=lucentPMRadiusAuthFails, lucentPMGenGlobParams=lucentPMGenGlobParams, lucentPMRadiusSecret=lucentPMRadiusSecret, lucentPMGenTelnetPortNum=lucentPMGenTelnetPortNum, lucentPMChoiceNetAltIP=lucentPMChoiceNetAltIP, lucentPMGenReportedAddr=lucentPMGenReportedAddr, lucentPMGenNetMask=lucentPMGenNetMask, lucentPMGenOSPF=lucentPMGenOSPF, lucentPMGenNetBIOS=lucentPMGenNetBIOS, lucentPMGenDomainName=lucentPMGenDomainName, lucentPMGenAssignedAddr=lucentPMGenAssignedAddr, lucentPMChoiceNetAltPort=lucentPMChoiceNetAltPort, lucentPMGenPriNameSrvr=lucentPMGenPriNameSrvr, lucentPMRadiusPriIP=lucentPMRadiusPriIP, lucentPMGenSyslogHost=lucentPMGenSyslogHost, lucentPMRadiusAltAcctPort=lucentPMRadiusAltAcctPort, lucentPMRadiusAltPort=lucentPMRadiusAltPort, lucentPMGenNameSvc=lucentPMGenNameSvc, lucentPMChoiceNetMgmt=lucentPMChoiceNetMgmt, lucentPMChoiceNetPriIP=lucentPMChoiceNetPriIP, lucentPMGenBGP=lucentPMGenBGP, lucentPMRadiusAuth=lucentPMRadiusAuth)
# # PySNMP MIB module ONEACCESS-SHDSL-MIB (http://snmplabs.com/pysmi) # ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/ONEACCESS-SHDSL-MIB # Produced by pysmi-0.3.4 at Mon Apr 29 20:25:23 2019 # On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4 # Using Python version 3.7.3 (default, Mar 27 2019, 09:23:15) # ObjectIdentifier, OctetString, Integer = mibBuilder.importSymbols("ASN1", "ObjectIdentifier", "OctetString", "Integer") NamedValues, = mibBuilder.importSymbols("ASN1-ENUMERATION", "NamedValues") ConstraintsUnion, ValueSizeConstraint, ConstraintsIntersection, ValueRangeConstraint, SingleValueConstraint = mibBuilder.importSymbols("ASN1-REFINEMENT", "ConstraintsUnion", "ValueSizeConstraint", "ConstraintsIntersection", "ValueRangeConstraint", "SingleValueConstraint") hdsl2ShdslSpanConfProfileEntry, hdsl2ShdslEndpointCurrEntry, hdsl2ShdslSpanStatusEntry = mibBuilder.importSymbols("HDSL2-SHDSL-LINE-MIB", "hdsl2ShdslSpanConfProfileEntry", "hdsl2ShdslEndpointCurrEntry", "hdsl2ShdslSpanStatusEntry") ifIndex, = mibBuilder.importSymbols("IF-MIB", "ifIndex") oacExpIMSystem, = mibBuilder.importSymbols("ONEACCESS-GLOBAL-REG", "oacExpIMSystem") ModuleCompliance, NotificationGroup = mibBuilder.importSymbols("SNMPv2-CONF", "ModuleCompliance", "NotificationGroup") TimeTicks, iso, Gauge32, MibScalar, MibTable, MibTableRow, MibTableColumn, MibIdentifier, Counter64, Integer32, NotificationType, Bits, Unsigned32, ObjectIdentity, ModuleIdentity, IpAddress, Counter32 = mibBuilder.importSymbols("SNMPv2-SMI", "TimeTicks", "iso", "Gauge32", "MibScalar", "MibTable", "MibTableRow", "MibTableColumn", "MibIdentifier", "Counter64", "Integer32", "NotificationType", "Bits", "Unsigned32", "ObjectIdentity", "ModuleIdentity", "IpAddress", "Counter32") TextualConvention, DisplayString = mibBuilder.importSymbols("SNMPv2-TC", "TextualConvention", "DisplayString") oacSHDSLMIBModule = ModuleIdentity((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3)) oacSHDSLMIBModule.setRevisions(('2011-06-15 00:00', '2010-08-20 00:01', '2010-07-30 00:01', '2010-07-08 00:01',)) if mibBuilder.loadTexts: oacSHDSLMIBModule.setLastUpdated('201106150000Z') if mibBuilder.loadTexts: oacSHDSLMIBModule.setOrganization(' OneAccess ') oacSHDSLObjects = MibIdentifier((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1)) oacSHDSLSpanStatusTable = MibTable((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1, 2), ) if mibBuilder.loadTexts: oacSHDSLSpanStatusTable.setStatus('current') oacSHDSLSpanStatusEntry = MibTableRow((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1, 2, 1), ) hdsl2ShdslSpanStatusEntry.registerAugmentions(("ONEACCESS-SHDSL-MIB", "oacSHDSLSpanStatusEntry")) oacSHDSLSpanStatusEntry.setIndexNames(*hdsl2ShdslSpanStatusEntry.getIndexNames()) if mibBuilder.loadTexts: oacSHDSLSpanStatusEntry.setStatus('current') oacSHDSLSpanStatusUpDown = MibTableColumn((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1, 2, 1, 1), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: oacSHDSLSpanStatusUpDown.setStatus('current') oacSHDSLSpanStatusCurrStatus = MibTableColumn((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1, 2, 1, 2), OctetString().subtype(subtypeSpec=ValueSizeConstraint(30, 30)).setFixedLength(30)).setMaxAccess("readonly") if mibBuilder.loadTexts: oacSHDSLSpanStatusCurrStatus.setStatus('current') oacSHDSLSpanStatusCurrShowtimeStart = MibTableColumn((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1, 2, 1, 3), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: oacSHDSLSpanStatusCurrShowtimeStart.setStatus('current') oacSHDSLSpanStatusCurrCellDelin = MibTableColumn((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1, 2, 1, 4), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: oacSHDSLSpanStatusCurrCellDelin.setStatus('current') oacSHDSLSpanStatusCurrCRCanomalies = MibTableColumn((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1, 2, 1, 5), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: oacSHDSLSpanStatusCurrCRCanomalies.setStatus('current') oacSHDSLSpanStatusCurrHECErrors = MibTableColumn((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1, 2, 1, 6), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: oacSHDSLSpanStatusCurrHECErrors.setStatus('current') oacSHDSLSpanStatusCurrRxCells = MibTableColumn((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1, 2, 1, 7), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: oacSHDSLSpanStatusCurrRxCells.setStatus('current') oacSHDSLSpanStatusCurrTxCells = MibTableColumn((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1, 2, 1, 8), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: oacSHDSLSpanStatusCurrTxCells.setStatus('current') oacSHDSLSpanStatusCurrRxDrops = MibTableColumn((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1, 2, 1, 9), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: oacSHDSLSpanStatusCurrRxDrops.setStatus('current') oacSHDSLSpanStatusCurrES = MibTableColumn((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1, 2, 1, 10), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: oacSHDSLSpanStatusCurrES.setStatus('current') oacSHDSLSpanStatusCurrSES = MibTableColumn((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1, 2, 1, 11), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: oacSHDSLSpanStatusCurrSES.setStatus('current') oacSHDSLSpanStatusCurrLOSWS = MibTableColumn((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1, 2, 1, 12), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: oacSHDSLSpanStatusCurrLOSWS.setStatus('current') oacSHDSLSpanStatusCurrUAS = MibTableColumn((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1, 2, 1, 13), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: oacSHDSLSpanStatusCurrUAS.setStatus('current') oacSHDSLSpanStatusCurrConstellation = MibTableColumn((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1, 2, 1, 14), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(2, 3))).clone(namedValues=NamedValues(("tcPam16", 2), ("tcPam32", 3)))).setMaxAccess("readonly") if mibBuilder.loadTexts: oacSHDSLSpanStatusCurrConstellation.setStatus('current') oacSHDSLEndpointCurrTable = MibTable((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1, 5), ) if mibBuilder.loadTexts: oacSHDSLEndpointCurrTable.setStatus('current') oacSHDSLEndpointCurrEntry = MibTableRow((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1, 5, 1), ) hdsl2ShdslEndpointCurrEntry.registerAugmentions(("ONEACCESS-SHDSL-MIB", "oacSHDSLEndpointCurrEntry")) oacSHDSLEndpointCurrEntry.setIndexNames(*hdsl2ShdslEndpointCurrEntry.getIndexNames()) if mibBuilder.loadTexts: oacSHDSLEndpointCurrEntry.setStatus('current') oacSHDSLEndpointCurrAtn = MibTableColumn((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1, 5, 1, 1), Integer32().subtype(subtypeSpec=ValueRangeConstraint(-1270, 1280))).setUnits('dB/10').setMaxAccess("readonly") if mibBuilder.loadTexts: oacSHDSLEndpointCurrAtn.setStatus('current') oacSHDSLEndpointCurrSnrMgn = MibTableColumn((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1, 5, 1, 2), Integer32().subtype(subtypeSpec=ValueRangeConstraint(-1270, 1280))).setUnits('dB/10').setMaxAccess("readonly") if mibBuilder.loadTexts: oacSHDSLEndpointCurrSnrMgn.setStatus('current') oacSHDSLEndpointCurrTxPwr = MibTableColumn((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1, 5, 1, 3), Integer32()).setUnits('dB/10').setMaxAccess("readonly") if mibBuilder.loadTexts: oacSHDSLEndpointCurrTxPwr.setStatus('current') oacSHDSLEndpointCurrRxGain = MibTableColumn((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1, 5, 1, 4), Integer32()).setUnits('dB/10').setMaxAccess("readonly") if mibBuilder.loadTexts: oacSHDSLEndpointCurrRxGain.setStatus('current') oacSHDSLEndpointCurrMaxAttainableLineRate = MibTableColumn((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1, 5, 1, 5), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: oacSHDSLEndpointCurrMaxAttainableLineRate.setStatus('current') oacSHDSLEndpointCurrCommands = MibTableColumn((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1, 5, 1, 6), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: oacSHDSLEndpointCurrCommands.setStatus('current') oacSHDSLEndpointCurrResponses = MibTableColumn((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1, 5, 1, 7), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: oacSHDSLEndpointCurrResponses.setStatus('current') oacSHDSLEndpointCurrdiscardedCommands = MibTableColumn((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1, 5, 1, 8), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: oacSHDSLEndpointCurrdiscardedCommands.setStatus('current') oacSHDSLEndpointCurrerroredCommands = MibTableColumn((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1, 5, 1, 9), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: oacSHDSLEndpointCurrerroredCommands.setStatus('current') oacSHDSLEndpointCurrReceivedFrames = MibTableColumn((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1, 5, 1, 10), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: oacSHDSLEndpointCurrReceivedFrames.setStatus('current') oacSHDSLEndpointCurrBadTransparency = MibTableColumn((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1, 5, 1, 11), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: oacSHDSLEndpointCurrBadTransparency.setStatus('current') oacSHDSLEndpointCurrBadFCS = MibTableColumn((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1, 5, 1, 12), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: oacSHDSLEndpointCurrBadFCS.setStatus('current') oacSHDSLEndpointCurrEOCStatus = MibTableColumn((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1, 5, 1, 13), OctetString().subtype(subtypeSpec=ValueSizeConstraint(50, 50)).setFixedLength(50)).setMaxAccess("readonly") if mibBuilder.loadTexts: oacSHDSLEndpointCurrEOCStatus.setStatus('current') oacSHDSLEndpointCurrretrainTable = MibTable((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1, 7), ) if mibBuilder.loadTexts: oacSHDSLEndpointCurrretrainTable.setStatus('current') oacSHDSLEndpointCurrretrainEntry = MibTableRow((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1, 7, 1), ) hdsl2ShdslEndpointCurrEntry.registerAugmentions(("ONEACCESS-SHDSL-MIB", "oacSHDSLEndpointCurrretrainEntry")) oacSHDSLEndpointCurrretrainEntry.setIndexNames(*hdsl2ShdslEndpointCurrEntry.getIndexNames()) if mibBuilder.loadTexts: oacSHDSLEndpointCurrretrainEntry.setStatus('current') oacSHDSLEndpointCurrretrainSQPAIR = MibTableColumn((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1, 7, 1, 1), Integer32()).setUnits('SQPAIR').setMaxAccess("readonly") if mibBuilder.loadTexts: oacSHDSLEndpointCurrretrainSQPAIR.setStatus('current') oacSHDSLEndpointCurrretrainSQLINE = MibTableColumn((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1, 7, 1, 2), Integer32()).setUnits('SQLINE').setMaxAccess("readonly") if mibBuilder.loadTexts: oacSHDSLEndpointCurrretrainSQLINE.setStatus('current') oacSHDSLEndpointCurrretrainCRCPAIR = MibTableColumn((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1, 7, 1, 3), Integer32()).setUnits('CRCPAIR').setMaxAccess("readonly") if mibBuilder.loadTexts: oacSHDSLEndpointCurrretrainCRCPAIR.setStatus('current') oacSHDSLEndpointCurrretrainCRCLINE = MibTableColumn((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1, 7, 1, 4), Integer32()).setUnits('CRCLINE').setMaxAccess("readonly") if mibBuilder.loadTexts: oacSHDSLEndpointCurrretrainCRCLINE.setStatus('current') oacSHDSLEndpointCurrretrainFsyncPAIR = MibTableColumn((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1, 7, 1, 5), Integer32()).setUnits('FsyncPAIR').setMaxAccess("readonly") if mibBuilder.loadTexts: oacSHDSLEndpointCurrretrainFsyncPAIR.setStatus('current') oacSHDSLEndpointCurrretrainFsyncLINE = MibTableColumn((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1, 7, 1, 6), Integer32()).setUnits('FsyncLINE').setMaxAccess("readonly") if mibBuilder.loadTexts: oacSHDSLEndpointCurrretrainFsyncLINE.setStatus('current') oacSHDSLEndpointCurrretrainFSyncSQPAIR = MibTableColumn((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1, 7, 1, 7), Integer32()).setUnits('FSync&SQPAIR').setMaxAccess("readonly") if mibBuilder.loadTexts: oacSHDSLEndpointCurrretrainFSyncSQPAIR.setStatus('current') oacSHDSLEndpointCurrretrainFSyncSQLINE = MibTableColumn((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1, 7, 1, 8), Integer32()).setUnits('FSync&SQLINE').setMaxAccess("readonly") if mibBuilder.loadTexts: oacSHDSLEndpointCurrretrainFSyncSQLINE.setStatus('current') oacSHDSLTraps = MibIdentifier((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 2)) oacSHDSLTrapPrefix = MibIdentifier((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 2, 0)) oacSHDSLHardDownTrap = NotificationType((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 2, 0, 1)) if mibBuilder.loadTexts: oacSHDSLHardDownTrap.setStatus('current') oacSHDSLSpanConfProfileTable = MibTable((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1, 10), ) if mibBuilder.loadTexts: oacSHDSLSpanConfProfileTable.setStatus('current') oacSHDSLSpanConfProfileEntry = MibTableRow((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1, 10, 1), ) hdsl2ShdslSpanConfProfileEntry.registerAugmentions(("ONEACCESS-SHDSL-MIB", "oacSHDSLSpanConfProfileEntry")) oacSHDSLSpanConfProfileEntry.setIndexNames(*hdsl2ShdslSpanConfProfileEntry.getIndexNames()) if mibBuilder.loadTexts: oacSHDSLSpanConfProfileEntry.setStatus('current') oacSHDSLSpanConfProfileConstellation = MibTableColumn((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1, 10, 1, 1), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3))).clone(namedValues=NamedValues(("auto", 1), ("tcPam16", 2), ("tcPam32", 3)))).setMaxAccess("readonly") if mibBuilder.loadTexts: oacSHDSLSpanConfProfileConstellation.setStatus('current') oacSHDSLSpanConfProfileAutoConfig = MibTableColumn((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1, 10, 1, 2), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("enabled", 1), ("disabled", 2)))).setMaxAccess("readonly") if mibBuilder.loadTexts: oacSHDSLSpanConfProfileAutoConfig.setStatus('current') oacSHDSLSpanConfProfileCaplist = MibTableColumn((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1, 10, 1, 3), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3))).clone(namedValues=NamedValues(("newstyle", 1), ("oldstyle", 2), ("auto", 3)))).setMaxAccess("readonly") if mibBuilder.loadTexts: oacSHDSLSpanConfProfileCaplist.setStatus('current') oacSHDSLSpanConfProfileEfmAggregation = MibTableColumn((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1, 10, 1, 4), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4))).clone(namedValues=NamedValues(("disabled", 1), ("auto", 2), ("negotiated", 3), ("static", 4)))).setMaxAccess("readonly") if mibBuilder.loadTexts: oacSHDSLSpanConfProfileEfmAggregation.setStatus('current') oacSHDSLSpanConfProfileCrcCheck = MibTableColumn((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1, 10, 1, 5), Integer32().subtype(subtypeSpec=ValueRangeConstraint(0, 30))).setMaxAccess("readonly") if mibBuilder.loadTexts: oacSHDSLSpanConfProfileCrcCheck.setStatus('current') oacSHDSLSpanConfProfileMeansqCheck = MibTableColumn((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1, 10, 1, 6), Integer32().subtype(subtypeSpec=ValueRangeConstraint(0, 30))).setMaxAccess("readonly") if mibBuilder.loadTexts: oacSHDSLSpanConfProfileMeansqCheck.setStatus('current') oacSHDSLSpanConfProfileMeansqThreshold = MibTableColumn((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1, 10, 1, 7), Integer32().subtype(subtypeSpec=ValueRangeConstraint(-2, 10))).setMaxAccess("readonly") if mibBuilder.loadTexts: oacSHDSLSpanConfProfileMeansqThreshold.setStatus('current') oacSHDSLSpanConfProfileLineProbing = MibTableColumn((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1, 10, 1, 8), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("adaptive", 1), ("normal", 2)))).setMaxAccess("readonly") if mibBuilder.loadTexts: oacSHDSLSpanConfProfileLineProbing.setStatus('current') oacSHDSLSpanConfProfileEocManagement = MibTableColumn((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1, 10, 1, 9), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("enabled", 1), ("disabled", 2))).clone('enabled')).setMaxAccess("readwrite") if mibBuilder.loadTexts: oacSHDSLSpanConfProfileEocManagement.setStatus('current') oacSHDSLSpanConfProfileEocStatusPollDelay = MibTableColumn((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1, 10, 1, 10), Integer32().subtype(subtypeSpec=ValueRangeConstraint(0, 29))).setUnits('seconds').setMaxAccess("readwrite") if mibBuilder.loadTexts: oacSHDSLSpanConfProfileEocStatusPollDelay.setStatus('current') oacSHDSLSpanConfProfileEocStatusPollInterval = MibTableColumn((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1, 10, 1, 11), Integer32().subtype(subtypeSpec=ConstraintsUnion(ValueRangeConstraint(30, 30), ValueRangeConstraint(60, 60), ValueRangeConstraint(90, 90), ValueRangeConstraint(120, 120), )).clone(30)).setUnits('seconds').setMaxAccess("readwrite") if mibBuilder.loadTexts: oacSHDSLSpanConfProfileEocStatusPollInterval.setStatus('current') mibBuilder.exportSymbols("ONEACCESS-SHDSL-MIB", oacSHDSLSpanStatusCurrUAS=oacSHDSLSpanStatusCurrUAS, oacSHDSLEndpointCurrretrainFsyncLINE=oacSHDSLEndpointCurrretrainFsyncLINE, oacSHDSLEndpointCurrTxPwr=oacSHDSLEndpointCurrTxPwr, oacSHDSLEndpointCurrretrainCRCLINE=oacSHDSLEndpointCurrretrainCRCLINE, oacSHDSLTraps=oacSHDSLTraps, oacSHDSLSpanConfProfileMeansqCheck=oacSHDSLSpanConfProfileMeansqCheck, oacSHDSLSpanStatusCurrStatus=oacSHDSLSpanStatusCurrStatus, oacSHDSLSpanConfProfileEocStatusPollDelay=oacSHDSLSpanConfProfileEocStatusPollDelay, oacSHDSLEndpointCurrretrainCRCPAIR=oacSHDSLEndpointCurrretrainCRCPAIR, oacSHDSLSpanConfProfileMeansqThreshold=oacSHDSLSpanConfProfileMeansqThreshold, PYSNMP_MODULE_ID=oacSHDSLMIBModule, oacSHDSLEndpointCurrdiscardedCommands=oacSHDSLEndpointCurrdiscardedCommands, oacSHDSLMIBModule=oacSHDSLMIBModule, oacSHDSLSpanConfProfileConstellation=oacSHDSLSpanConfProfileConstellation, oacSHDSLEndpointCurrretrainEntry=oacSHDSLEndpointCurrretrainEntry, oacSHDSLSpanStatusCurrLOSWS=oacSHDSLSpanStatusCurrLOSWS, oacSHDSLSpanConfProfileEfmAggregation=oacSHDSLSpanConfProfileEfmAggregation, oacSHDSLSpanStatusCurrSES=oacSHDSLSpanStatusCurrSES, oacSHDSLSpanStatusCurrRxDrops=oacSHDSLSpanStatusCurrRxDrops, oacSHDSLEndpointCurrAtn=oacSHDSLEndpointCurrAtn, oacSHDSLTrapPrefix=oacSHDSLTrapPrefix, oacSHDSLSpanConfProfileTable=oacSHDSLSpanConfProfileTable, oacSHDSLEndpointCurrRxGain=oacSHDSLEndpointCurrRxGain, oacSHDSLSpanStatusCurrTxCells=oacSHDSLSpanStatusCurrTxCells, oacSHDSLEndpointCurrResponses=oacSHDSLEndpointCurrResponses, oacSHDSLSpanStatusCurrConstellation=oacSHDSLSpanStatusCurrConstellation, oacSHDSLEndpointCurrretrainFSyncSQLINE=oacSHDSLEndpointCurrretrainFSyncSQLINE, oacSHDSLSpanConfProfileLineProbing=oacSHDSLSpanConfProfileLineProbing, oacSHDSLEndpointCurrTable=oacSHDSLEndpointCurrTable, oacSHDSLSpanConfProfileCrcCheck=oacSHDSLSpanConfProfileCrcCheck, oacSHDSLEndpointCurrSnrMgn=oacSHDSLEndpointCurrSnrMgn, oacSHDSLSpanConfProfileEocStatusPollInterval=oacSHDSLSpanConfProfileEocStatusPollInterval, oacSHDSLEndpointCurrMaxAttainableLineRate=oacSHDSLEndpointCurrMaxAttainableLineRate, oacSHDSLObjects=oacSHDSLObjects, oacSHDSLSpanConfProfileAutoConfig=oacSHDSLSpanConfProfileAutoConfig, oacSHDSLSpanStatusTable=oacSHDSLSpanStatusTable, oacSHDSLEndpointCurrretrainFsyncPAIR=oacSHDSLEndpointCurrretrainFsyncPAIR, oacSHDSLEndpointCurrReceivedFrames=oacSHDSLEndpointCurrReceivedFrames, oacSHDSLSpanConfProfileCaplist=oacSHDSLSpanConfProfileCaplist, oacSHDSLSpanStatusEntry=oacSHDSLSpanStatusEntry, oacSHDSLSpanStatusUpDown=oacSHDSLSpanStatusUpDown, oacSHDSLHardDownTrap=oacSHDSLHardDownTrap, oacSHDSLEndpointCurrretrainTable=oacSHDSLEndpointCurrretrainTable, oacSHDSLSpanConfProfileEntry=oacSHDSLSpanConfProfileEntry, oacSHDSLEndpointCurrEntry=oacSHDSLEndpointCurrEntry, oacSHDSLEndpointCurrBadTransparency=oacSHDSLEndpointCurrBadTransparency, oacSHDSLEndpointCurrBadFCS=oacSHDSLEndpointCurrBadFCS, oacSHDSLSpanStatusCurrRxCells=oacSHDSLSpanStatusCurrRxCells, oacSHDSLEndpointCurrCommands=oacSHDSLEndpointCurrCommands, oacSHDSLEndpointCurrretrainSQLINE=oacSHDSLEndpointCurrretrainSQLINE, oacSHDSLSpanStatusCurrES=oacSHDSLSpanStatusCurrES, oacSHDSLSpanStatusCurrCRCanomalies=oacSHDSLSpanStatusCurrCRCanomalies, oacSHDSLSpanStatusCurrShowtimeStart=oacSHDSLSpanStatusCurrShowtimeStart, oacSHDSLEndpointCurrEOCStatus=oacSHDSLEndpointCurrEOCStatus, oacSHDSLEndpointCurrretrainFSyncSQPAIR=oacSHDSLEndpointCurrretrainFSyncSQPAIR, oacSHDSLSpanStatusCurrHECErrors=oacSHDSLSpanStatusCurrHECErrors, oacSHDSLEndpointCurrerroredCommands=oacSHDSLEndpointCurrerroredCommands, oacSHDSLSpanConfProfileEocManagement=oacSHDSLSpanConfProfileEocManagement, oacSHDSLEndpointCurrretrainSQPAIR=oacSHDSLEndpointCurrretrainSQPAIR, oacSHDSLSpanStatusCurrCellDelin=oacSHDSLSpanStatusCurrCellDelin)
(object_identifier, octet_string, integer) = mibBuilder.importSymbols('ASN1', 'ObjectIdentifier', 'OctetString', 'Integer') (named_values,) = mibBuilder.importSymbols('ASN1-ENUMERATION', 'NamedValues') (constraints_union, value_size_constraint, constraints_intersection, value_range_constraint, single_value_constraint) = mibBuilder.importSymbols('ASN1-REFINEMENT', 'ConstraintsUnion', 'ValueSizeConstraint', 'ConstraintsIntersection', 'ValueRangeConstraint', 'SingleValueConstraint') (hdsl2_shdsl_span_conf_profile_entry, hdsl2_shdsl_endpoint_curr_entry, hdsl2_shdsl_span_status_entry) = mibBuilder.importSymbols('HDSL2-SHDSL-LINE-MIB', 'hdsl2ShdslSpanConfProfileEntry', 'hdsl2ShdslEndpointCurrEntry', 'hdsl2ShdslSpanStatusEntry') (if_index,) = mibBuilder.importSymbols('IF-MIB', 'ifIndex') (oac_exp_im_system,) = mibBuilder.importSymbols('ONEACCESS-GLOBAL-REG', 'oacExpIMSystem') (module_compliance, notification_group) = mibBuilder.importSymbols('SNMPv2-CONF', 'ModuleCompliance', 'NotificationGroup') (time_ticks, iso, gauge32, mib_scalar, mib_table, mib_table_row, mib_table_column, mib_identifier, counter64, integer32, notification_type, bits, unsigned32, object_identity, module_identity, ip_address, counter32) = mibBuilder.importSymbols('SNMPv2-SMI', 'TimeTicks', 'iso', 'Gauge32', 'MibScalar', 'MibTable', 'MibTableRow', 'MibTableColumn', 'MibIdentifier', 'Counter64', 'Integer32', 'NotificationType', 'Bits', 'Unsigned32', 'ObjectIdentity', 'ModuleIdentity', 'IpAddress', 'Counter32') (textual_convention, display_string) = mibBuilder.importSymbols('SNMPv2-TC', 'TextualConvention', 'DisplayString') oac_shdslmib_module = module_identity((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3)) oacSHDSLMIBModule.setRevisions(('2011-06-15 00:00', '2010-08-20 00:01', '2010-07-30 00:01', '2010-07-08 00:01')) if mibBuilder.loadTexts: oacSHDSLMIBModule.setLastUpdated('201106150000Z') if mibBuilder.loadTexts: oacSHDSLMIBModule.setOrganization(' OneAccess ') oac_shdsl_objects = mib_identifier((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1)) oac_shdsl_span_status_table = mib_table((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1, 2)) if mibBuilder.loadTexts: oacSHDSLSpanStatusTable.setStatus('current') oac_shdsl_span_status_entry = mib_table_row((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1, 2, 1)) hdsl2ShdslSpanStatusEntry.registerAugmentions(('ONEACCESS-SHDSL-MIB', 'oacSHDSLSpanStatusEntry')) oacSHDSLSpanStatusEntry.setIndexNames(*hdsl2ShdslSpanStatusEntry.getIndexNames()) if mibBuilder.loadTexts: oacSHDSLSpanStatusEntry.setStatus('current') oac_shdsl_span_status_up_down = mib_table_column((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1, 2, 1, 1), counter32()).setMaxAccess('readonly') if mibBuilder.loadTexts: oacSHDSLSpanStatusUpDown.setStatus('current') oac_shdsl_span_status_curr_status = mib_table_column((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1, 2, 1, 2), octet_string().subtype(subtypeSpec=value_size_constraint(30, 30)).setFixedLength(30)).setMaxAccess('readonly') if mibBuilder.loadTexts: oacSHDSLSpanStatusCurrStatus.setStatus('current') oac_shdsl_span_status_curr_showtime_start = mib_table_column((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1, 2, 1, 3), counter32()).setMaxAccess('readonly') if mibBuilder.loadTexts: oacSHDSLSpanStatusCurrShowtimeStart.setStatus('current') oac_shdsl_span_status_curr_cell_delin = mib_table_column((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1, 2, 1, 4), counter32()).setMaxAccess('readonly') if mibBuilder.loadTexts: oacSHDSLSpanStatusCurrCellDelin.setStatus('current') oac_shdsl_span_status_curr_cr_canomalies = mib_table_column((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1, 2, 1, 5), counter32()).setMaxAccess('readonly') if mibBuilder.loadTexts: oacSHDSLSpanStatusCurrCRCanomalies.setStatus('current') oac_shdsl_span_status_curr_hec_errors = mib_table_column((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1, 2, 1, 6), counter32()).setMaxAccess('readonly') if mibBuilder.loadTexts: oacSHDSLSpanStatusCurrHECErrors.setStatus('current') oac_shdsl_span_status_curr_rx_cells = mib_table_column((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1, 2, 1, 7), counter32()).setMaxAccess('readonly') if mibBuilder.loadTexts: oacSHDSLSpanStatusCurrRxCells.setStatus('current') oac_shdsl_span_status_curr_tx_cells = mib_table_column((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1, 2, 1, 8), counter32()).setMaxAccess('readonly') if mibBuilder.loadTexts: oacSHDSLSpanStatusCurrTxCells.setStatus('current') oac_shdsl_span_status_curr_rx_drops = mib_table_column((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1, 2, 1, 9), counter32()).setMaxAccess('readonly') if mibBuilder.loadTexts: oacSHDSLSpanStatusCurrRxDrops.setStatus('current') oac_shdsl_span_status_curr_es = mib_table_column((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1, 2, 1, 10), counter32()).setMaxAccess('readonly') if mibBuilder.loadTexts: oacSHDSLSpanStatusCurrES.setStatus('current') oac_shdsl_span_status_curr_ses = mib_table_column((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1, 2, 1, 11), counter32()).setMaxAccess('readonly') if mibBuilder.loadTexts: oacSHDSLSpanStatusCurrSES.setStatus('current') oac_shdsl_span_status_curr_losws = mib_table_column((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1, 2, 1, 12), counter32()).setMaxAccess('readonly') if mibBuilder.loadTexts: oacSHDSLSpanStatusCurrLOSWS.setStatus('current') oac_shdsl_span_status_curr_uas = mib_table_column((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1, 2, 1, 13), counter32()).setMaxAccess('readonly') if mibBuilder.loadTexts: oacSHDSLSpanStatusCurrUAS.setStatus('current') oac_shdsl_span_status_curr_constellation = mib_table_column((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1, 2, 1, 14), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(2, 3))).clone(namedValues=named_values(('tcPam16', 2), ('tcPam32', 3)))).setMaxAccess('readonly') if mibBuilder.loadTexts: oacSHDSLSpanStatusCurrConstellation.setStatus('current') oac_shdsl_endpoint_curr_table = mib_table((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1, 5)) if mibBuilder.loadTexts: oacSHDSLEndpointCurrTable.setStatus('current') oac_shdsl_endpoint_curr_entry = mib_table_row((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1, 5, 1)) hdsl2ShdslEndpointCurrEntry.registerAugmentions(('ONEACCESS-SHDSL-MIB', 'oacSHDSLEndpointCurrEntry')) oacSHDSLEndpointCurrEntry.setIndexNames(*hdsl2ShdslEndpointCurrEntry.getIndexNames()) if mibBuilder.loadTexts: oacSHDSLEndpointCurrEntry.setStatus('current') oac_shdsl_endpoint_curr_atn = mib_table_column((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1, 5, 1, 1), integer32().subtype(subtypeSpec=value_range_constraint(-1270, 1280))).setUnits('dB/10').setMaxAccess('readonly') if mibBuilder.loadTexts: oacSHDSLEndpointCurrAtn.setStatus('current') oac_shdsl_endpoint_curr_snr_mgn = mib_table_column((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1, 5, 1, 2), integer32().subtype(subtypeSpec=value_range_constraint(-1270, 1280))).setUnits('dB/10').setMaxAccess('readonly') if mibBuilder.loadTexts: oacSHDSLEndpointCurrSnrMgn.setStatus('current') oac_shdsl_endpoint_curr_tx_pwr = mib_table_column((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1, 5, 1, 3), integer32()).setUnits('dB/10').setMaxAccess('readonly') if mibBuilder.loadTexts: oacSHDSLEndpointCurrTxPwr.setStatus('current') oac_shdsl_endpoint_curr_rx_gain = mib_table_column((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1, 5, 1, 4), integer32()).setUnits('dB/10').setMaxAccess('readonly') if mibBuilder.loadTexts: oacSHDSLEndpointCurrRxGain.setStatus('current') oac_shdsl_endpoint_curr_max_attainable_line_rate = mib_table_column((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1, 5, 1, 5), integer32()).setMaxAccess('readonly') if mibBuilder.loadTexts: oacSHDSLEndpointCurrMaxAttainableLineRate.setStatus('current') oac_shdsl_endpoint_curr_commands = mib_table_column((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1, 5, 1, 6), integer32()).setMaxAccess('readonly') if mibBuilder.loadTexts: oacSHDSLEndpointCurrCommands.setStatus('current') oac_shdsl_endpoint_curr_responses = mib_table_column((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1, 5, 1, 7), integer32()).setMaxAccess('readonly') if mibBuilder.loadTexts: oacSHDSLEndpointCurrResponses.setStatus('current') oac_shdsl_endpoint_currdiscarded_commands = mib_table_column((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1, 5, 1, 8), integer32()).setMaxAccess('readonly') if mibBuilder.loadTexts: oacSHDSLEndpointCurrdiscardedCommands.setStatus('current') oac_shdsl_endpoint_currerrored_commands = mib_table_column((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1, 5, 1, 9), integer32()).setMaxAccess('readonly') if mibBuilder.loadTexts: oacSHDSLEndpointCurrerroredCommands.setStatus('current') oac_shdsl_endpoint_curr_received_frames = mib_table_column((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1, 5, 1, 10), integer32()).setMaxAccess('readonly') if mibBuilder.loadTexts: oacSHDSLEndpointCurrReceivedFrames.setStatus('current') oac_shdsl_endpoint_curr_bad_transparency = mib_table_column((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1, 5, 1, 11), integer32()).setMaxAccess('readonly') if mibBuilder.loadTexts: oacSHDSLEndpointCurrBadTransparency.setStatus('current') oac_shdsl_endpoint_curr_bad_fcs = mib_table_column((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1, 5, 1, 12), integer32()).setMaxAccess('readonly') if mibBuilder.loadTexts: oacSHDSLEndpointCurrBadFCS.setStatus('current') oac_shdsl_endpoint_curr_eoc_status = mib_table_column((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1, 5, 1, 13), octet_string().subtype(subtypeSpec=value_size_constraint(50, 50)).setFixedLength(50)).setMaxAccess('readonly') if mibBuilder.loadTexts: oacSHDSLEndpointCurrEOCStatus.setStatus('current') oac_shdsl_endpoint_currretrain_table = mib_table((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1, 7)) if mibBuilder.loadTexts: oacSHDSLEndpointCurrretrainTable.setStatus('current') oac_shdsl_endpoint_currretrain_entry = mib_table_row((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1, 7, 1)) hdsl2ShdslEndpointCurrEntry.registerAugmentions(('ONEACCESS-SHDSL-MIB', 'oacSHDSLEndpointCurrretrainEntry')) oacSHDSLEndpointCurrretrainEntry.setIndexNames(*hdsl2ShdslEndpointCurrEntry.getIndexNames()) if mibBuilder.loadTexts: oacSHDSLEndpointCurrretrainEntry.setStatus('current') oac_shdsl_endpoint_currretrain_sqpair = mib_table_column((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1, 7, 1, 1), integer32()).setUnits('SQPAIR').setMaxAccess('readonly') if mibBuilder.loadTexts: oacSHDSLEndpointCurrretrainSQPAIR.setStatus('current') oac_shdsl_endpoint_currretrain_sqline = mib_table_column((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1, 7, 1, 2), integer32()).setUnits('SQLINE').setMaxAccess('readonly') if mibBuilder.loadTexts: oacSHDSLEndpointCurrretrainSQLINE.setStatus('current') oac_shdsl_endpoint_currretrain_crcpair = mib_table_column((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1, 7, 1, 3), integer32()).setUnits('CRCPAIR').setMaxAccess('readonly') if mibBuilder.loadTexts: oacSHDSLEndpointCurrretrainCRCPAIR.setStatus('current') oac_shdsl_endpoint_currretrain_crcline = mib_table_column((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1, 7, 1, 4), integer32()).setUnits('CRCLINE').setMaxAccess('readonly') if mibBuilder.loadTexts: oacSHDSLEndpointCurrretrainCRCLINE.setStatus('current') oac_shdsl_endpoint_currretrain_fsync_pair = mib_table_column((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1, 7, 1, 5), integer32()).setUnits('FsyncPAIR').setMaxAccess('readonly') if mibBuilder.loadTexts: oacSHDSLEndpointCurrretrainFsyncPAIR.setStatus('current') oac_shdsl_endpoint_currretrain_fsync_line = mib_table_column((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1, 7, 1, 6), integer32()).setUnits('FsyncLINE').setMaxAccess('readonly') if mibBuilder.loadTexts: oacSHDSLEndpointCurrretrainFsyncLINE.setStatus('current') oac_shdsl_endpoint_currretrain_f_sync_sqpair = mib_table_column((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1, 7, 1, 7), integer32()).setUnits('FSync&SQPAIR').setMaxAccess('readonly') if mibBuilder.loadTexts: oacSHDSLEndpointCurrretrainFSyncSQPAIR.setStatus('current') oac_shdsl_endpoint_currretrain_f_sync_sqline = mib_table_column((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1, 7, 1, 8), integer32()).setUnits('FSync&SQLINE').setMaxAccess('readonly') if mibBuilder.loadTexts: oacSHDSLEndpointCurrretrainFSyncSQLINE.setStatus('current') oac_shdsl_traps = mib_identifier((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 2)) oac_shdsl_trap_prefix = mib_identifier((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 2, 0)) oac_shdsl_hard_down_trap = notification_type((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 2, 0, 1)) if mibBuilder.loadTexts: oacSHDSLHardDownTrap.setStatus('current') oac_shdsl_span_conf_profile_table = mib_table((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1, 10)) if mibBuilder.loadTexts: oacSHDSLSpanConfProfileTable.setStatus('current') oac_shdsl_span_conf_profile_entry = mib_table_row((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1, 10, 1)) hdsl2ShdslSpanConfProfileEntry.registerAugmentions(('ONEACCESS-SHDSL-MIB', 'oacSHDSLSpanConfProfileEntry')) oacSHDSLSpanConfProfileEntry.setIndexNames(*hdsl2ShdslSpanConfProfileEntry.getIndexNames()) if mibBuilder.loadTexts: oacSHDSLSpanConfProfileEntry.setStatus('current') oac_shdsl_span_conf_profile_constellation = mib_table_column((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1, 10, 1, 1), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2, 3))).clone(namedValues=named_values(('auto', 1), ('tcPam16', 2), ('tcPam32', 3)))).setMaxAccess('readonly') if mibBuilder.loadTexts: oacSHDSLSpanConfProfileConstellation.setStatus('current') oac_shdsl_span_conf_profile_auto_config = mib_table_column((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1, 10, 1, 2), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2))).clone(namedValues=named_values(('enabled', 1), ('disabled', 2)))).setMaxAccess('readonly') if mibBuilder.loadTexts: oacSHDSLSpanConfProfileAutoConfig.setStatus('current') oac_shdsl_span_conf_profile_caplist = mib_table_column((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1, 10, 1, 3), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2, 3))).clone(namedValues=named_values(('newstyle', 1), ('oldstyle', 2), ('auto', 3)))).setMaxAccess('readonly') if mibBuilder.loadTexts: oacSHDSLSpanConfProfileCaplist.setStatus('current') oac_shdsl_span_conf_profile_efm_aggregation = mib_table_column((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1, 10, 1, 4), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2, 3, 4))).clone(namedValues=named_values(('disabled', 1), ('auto', 2), ('negotiated', 3), ('static', 4)))).setMaxAccess('readonly') if mibBuilder.loadTexts: oacSHDSLSpanConfProfileEfmAggregation.setStatus('current') oac_shdsl_span_conf_profile_crc_check = mib_table_column((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1, 10, 1, 5), integer32().subtype(subtypeSpec=value_range_constraint(0, 30))).setMaxAccess('readonly') if mibBuilder.loadTexts: oacSHDSLSpanConfProfileCrcCheck.setStatus('current') oac_shdsl_span_conf_profile_meansq_check = mib_table_column((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1, 10, 1, 6), integer32().subtype(subtypeSpec=value_range_constraint(0, 30))).setMaxAccess('readonly') if mibBuilder.loadTexts: oacSHDSLSpanConfProfileMeansqCheck.setStatus('current') oac_shdsl_span_conf_profile_meansq_threshold = mib_table_column((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1, 10, 1, 7), integer32().subtype(subtypeSpec=value_range_constraint(-2, 10))).setMaxAccess('readonly') if mibBuilder.loadTexts: oacSHDSLSpanConfProfileMeansqThreshold.setStatus('current') oac_shdsl_span_conf_profile_line_probing = mib_table_column((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1, 10, 1, 8), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2))).clone(namedValues=named_values(('adaptive', 1), ('normal', 2)))).setMaxAccess('readonly') if mibBuilder.loadTexts: oacSHDSLSpanConfProfileLineProbing.setStatus('current') oac_shdsl_span_conf_profile_eoc_management = mib_table_column((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1, 10, 1, 9), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2))).clone(namedValues=named_values(('enabled', 1), ('disabled', 2))).clone('enabled')).setMaxAccess('readwrite') if mibBuilder.loadTexts: oacSHDSLSpanConfProfileEocManagement.setStatus('current') oac_shdsl_span_conf_profile_eoc_status_poll_delay = mib_table_column((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1, 10, 1, 10), integer32().subtype(subtypeSpec=value_range_constraint(0, 29))).setUnits('seconds').setMaxAccess('readwrite') if mibBuilder.loadTexts: oacSHDSLSpanConfProfileEocStatusPollDelay.setStatus('current') oac_shdsl_span_conf_profile_eoc_status_poll_interval = mib_table_column((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1, 10, 1, 11), integer32().subtype(subtypeSpec=constraints_union(value_range_constraint(30, 30), value_range_constraint(60, 60), value_range_constraint(90, 90), value_range_constraint(120, 120))).clone(30)).setUnits('seconds').setMaxAccess('readwrite') if mibBuilder.loadTexts: oacSHDSLSpanConfProfileEocStatusPollInterval.setStatus('current') mibBuilder.exportSymbols('ONEACCESS-SHDSL-MIB', oacSHDSLSpanStatusCurrUAS=oacSHDSLSpanStatusCurrUAS, oacSHDSLEndpointCurrretrainFsyncLINE=oacSHDSLEndpointCurrretrainFsyncLINE, oacSHDSLEndpointCurrTxPwr=oacSHDSLEndpointCurrTxPwr, oacSHDSLEndpointCurrretrainCRCLINE=oacSHDSLEndpointCurrretrainCRCLINE, oacSHDSLTraps=oacSHDSLTraps, oacSHDSLSpanConfProfileMeansqCheck=oacSHDSLSpanConfProfileMeansqCheck, oacSHDSLSpanStatusCurrStatus=oacSHDSLSpanStatusCurrStatus, oacSHDSLSpanConfProfileEocStatusPollDelay=oacSHDSLSpanConfProfileEocStatusPollDelay, oacSHDSLEndpointCurrretrainCRCPAIR=oacSHDSLEndpointCurrretrainCRCPAIR, oacSHDSLSpanConfProfileMeansqThreshold=oacSHDSLSpanConfProfileMeansqThreshold, PYSNMP_MODULE_ID=oacSHDSLMIBModule, oacSHDSLEndpointCurrdiscardedCommands=oacSHDSLEndpointCurrdiscardedCommands, oacSHDSLMIBModule=oacSHDSLMIBModule, oacSHDSLSpanConfProfileConstellation=oacSHDSLSpanConfProfileConstellation, oacSHDSLEndpointCurrretrainEntry=oacSHDSLEndpointCurrretrainEntry, oacSHDSLSpanStatusCurrLOSWS=oacSHDSLSpanStatusCurrLOSWS, oacSHDSLSpanConfProfileEfmAggregation=oacSHDSLSpanConfProfileEfmAggregation, oacSHDSLSpanStatusCurrSES=oacSHDSLSpanStatusCurrSES, oacSHDSLSpanStatusCurrRxDrops=oacSHDSLSpanStatusCurrRxDrops, oacSHDSLEndpointCurrAtn=oacSHDSLEndpointCurrAtn, oacSHDSLTrapPrefix=oacSHDSLTrapPrefix, oacSHDSLSpanConfProfileTable=oacSHDSLSpanConfProfileTable, oacSHDSLEndpointCurrRxGain=oacSHDSLEndpointCurrRxGain, oacSHDSLSpanStatusCurrTxCells=oacSHDSLSpanStatusCurrTxCells, oacSHDSLEndpointCurrResponses=oacSHDSLEndpointCurrResponses, oacSHDSLSpanStatusCurrConstellation=oacSHDSLSpanStatusCurrConstellation, oacSHDSLEndpointCurrretrainFSyncSQLINE=oacSHDSLEndpointCurrretrainFSyncSQLINE, oacSHDSLSpanConfProfileLineProbing=oacSHDSLSpanConfProfileLineProbing, oacSHDSLEndpointCurrTable=oacSHDSLEndpointCurrTable, oacSHDSLSpanConfProfileCrcCheck=oacSHDSLSpanConfProfileCrcCheck, oacSHDSLEndpointCurrSnrMgn=oacSHDSLEndpointCurrSnrMgn, oacSHDSLSpanConfProfileEocStatusPollInterval=oacSHDSLSpanConfProfileEocStatusPollInterval, oacSHDSLEndpointCurrMaxAttainableLineRate=oacSHDSLEndpointCurrMaxAttainableLineRate, oacSHDSLObjects=oacSHDSLObjects, oacSHDSLSpanConfProfileAutoConfig=oacSHDSLSpanConfProfileAutoConfig, oacSHDSLSpanStatusTable=oacSHDSLSpanStatusTable, oacSHDSLEndpointCurrretrainFsyncPAIR=oacSHDSLEndpointCurrretrainFsyncPAIR, oacSHDSLEndpointCurrReceivedFrames=oacSHDSLEndpointCurrReceivedFrames, oacSHDSLSpanConfProfileCaplist=oacSHDSLSpanConfProfileCaplist, oacSHDSLSpanStatusEntry=oacSHDSLSpanStatusEntry, oacSHDSLSpanStatusUpDown=oacSHDSLSpanStatusUpDown, oacSHDSLHardDownTrap=oacSHDSLHardDownTrap, oacSHDSLEndpointCurrretrainTable=oacSHDSLEndpointCurrretrainTable, oacSHDSLSpanConfProfileEntry=oacSHDSLSpanConfProfileEntry, oacSHDSLEndpointCurrEntry=oacSHDSLEndpointCurrEntry, oacSHDSLEndpointCurrBadTransparency=oacSHDSLEndpointCurrBadTransparency, oacSHDSLEndpointCurrBadFCS=oacSHDSLEndpointCurrBadFCS, oacSHDSLSpanStatusCurrRxCells=oacSHDSLSpanStatusCurrRxCells, oacSHDSLEndpointCurrCommands=oacSHDSLEndpointCurrCommands, oacSHDSLEndpointCurrretrainSQLINE=oacSHDSLEndpointCurrretrainSQLINE, oacSHDSLSpanStatusCurrES=oacSHDSLSpanStatusCurrES, oacSHDSLSpanStatusCurrCRCanomalies=oacSHDSLSpanStatusCurrCRCanomalies, oacSHDSLSpanStatusCurrShowtimeStart=oacSHDSLSpanStatusCurrShowtimeStart, oacSHDSLEndpointCurrEOCStatus=oacSHDSLEndpointCurrEOCStatus, oacSHDSLEndpointCurrretrainFSyncSQPAIR=oacSHDSLEndpointCurrretrainFSyncSQPAIR, oacSHDSLSpanStatusCurrHECErrors=oacSHDSLSpanStatusCurrHECErrors, oacSHDSLEndpointCurrerroredCommands=oacSHDSLEndpointCurrerroredCommands, oacSHDSLSpanConfProfileEocManagement=oacSHDSLSpanConfProfileEocManagement, oacSHDSLEndpointCurrretrainSQPAIR=oacSHDSLEndpointCurrretrainSQPAIR, oacSHDSLSpanStatusCurrCellDelin=oacSHDSLSpanStatusCurrCellDelin)
class AtaqueMonstro: def __init__( self, id: int, nome: str, quantidade_dado: int, numero_faces: int, dano_bonus: int, acerto: int = 0, cd: int = 0, teste: str = None ): self.__id = id self.__nome = nome self.__quantidade_dado = quantidade_dado self.__numero_faces = numero_faces self.__dano_bonus = dano_bonus self.__acerto = acerto self.__cd = cd self.__teste = teste @property def id(self) -> int: return self.__id @property def nome(self): return self.__nome @nome.setter def nome(self, nome: str): if isinstance(nome, str): self.__nome = nome @property def quantidade_dado(self): return self.__quantidade_dado @quantidade_dado.setter def quantidade_dado(self, quantidade: int): if isinstance(quantidade, int): self.__quantidade_dado = quantidade @property def numero_faces(self): return self.__numero_faces @numero_faces.setter def numero_faces(self, dado: int): if isinstance(dado, int): self.__numero_faces = dado @property def dano_bonus(self): return self.__dano_bonus @dano_bonus.setter def dano_bonus(self, dano: int): if isinstance(dano, int): self.__dano_bonus = dano @property def acerto(self): return self.__acerto @acerto.setter def acerto(self, acerto: int): if isinstance(acerto, int): self.__acerto = acerto @property def cd(self): return self.__cd @cd.setter def cd(self, cd: int): if isinstance(cd, int): self.__cd = cd @property def teste(self): return self.__teste @teste.setter def teste(self, teste: str): if isinstance(teste, str): self.__teste = teste
class Ataquemonstro: def __init__(self, id: int, nome: str, quantidade_dado: int, numero_faces: int, dano_bonus: int, acerto: int=0, cd: int=0, teste: str=None): self.__id = id self.__nome = nome self.__quantidade_dado = quantidade_dado self.__numero_faces = numero_faces self.__dano_bonus = dano_bonus self.__acerto = acerto self.__cd = cd self.__teste = teste @property def id(self) -> int: return self.__id @property def nome(self): return self.__nome @nome.setter def nome(self, nome: str): if isinstance(nome, str): self.__nome = nome @property def quantidade_dado(self): return self.__quantidade_dado @quantidade_dado.setter def quantidade_dado(self, quantidade: int): if isinstance(quantidade, int): self.__quantidade_dado = quantidade @property def numero_faces(self): return self.__numero_faces @numero_faces.setter def numero_faces(self, dado: int): if isinstance(dado, int): self.__numero_faces = dado @property def dano_bonus(self): return self.__dano_bonus @dano_bonus.setter def dano_bonus(self, dano: int): if isinstance(dano, int): self.__dano_bonus = dano @property def acerto(self): return self.__acerto @acerto.setter def acerto(self, acerto: int): if isinstance(acerto, int): self.__acerto = acerto @property def cd(self): return self.__cd @cd.setter def cd(self, cd: int): if isinstance(cd, int): self.__cd = cd @property def teste(self): return self.__teste @teste.setter def teste(self, teste: str): if isinstance(teste, str): self.__teste = teste
print(map(abs, [1,-2,3,-4])) l=list(map(abs, [1,-2,3,-4])) print(l) #>>[1,2,3,4] def addOne(num): return num+1 li=list(map(addOne, l)) print(li) #>>[2,3,4,5] lis = map(addOne, li) print(lis.__next__()) #>>3 print(lis.__next__()) #>>4 print(lis.__next__()) #>>5 print(lis.__next__()) #>>6 def applyToEach(L, f): for i in range(len(L)): L[i] = f(L[i]) testList = [1, -4, 8, -9] def mulByFiv(x): return 5*x applyToEach(testList, mulByFiv) print(testList) print(testList) nL = [1, 4, 8, 9] print(nL) def applytooEach(L, f): for i in range(len(L)): L[i] = f(L[i], i) def myFun(x, i): if i%2 == 0: x = x+1 return x else: x = x -10 return x applytooEach(nL, myFun) print(nL) def applyEachTo(L, x): result = [] for i in range(len(L)): result.append(L[i](x)) print(str(result)+" "+str(L[i])) return result def square(a): return a*a def halve(a): return a/2 def inc(a): return a+1 listt=list(applyEachTo([inc, square, halve, abs], 3.0)) print(listt)
print(map(abs, [1, -2, 3, -4])) l = list(map(abs, [1, -2, 3, -4])) print(l) def add_one(num): return num + 1 li = list(map(addOne, l)) print(li) lis = map(addOne, li) print(lis.__next__()) print(lis.__next__()) print(lis.__next__()) print(lis.__next__()) def apply_to_each(L, f): for i in range(len(L)): L[i] = f(L[i]) test_list = [1, -4, 8, -9] def mul_by_fiv(x): return 5 * x apply_to_each(testList, mulByFiv) print(testList) print(testList) n_l = [1, 4, 8, 9] print(nL) def applytoo_each(L, f): for i in range(len(L)): L[i] = f(L[i], i) def my_fun(x, i): if i % 2 == 0: x = x + 1 return x else: x = x - 10 return x applytoo_each(nL, myFun) print(nL) def apply_each_to(L, x): result = [] for i in range(len(L)): result.append(L[i](x)) print(str(result) + ' ' + str(L[i])) return result def square(a): return a * a def halve(a): return a / 2 def inc(a): return a + 1 listt = list(apply_each_to([inc, square, halve, abs], 3.0)) print(listt)
N=int(input()) S=[list(input()) for i in range(N)] takahashi=0 aoki=0 for s in S: takahashi+=s.count("R") aoki+=s.count("B") print("TAKAHASHI" if takahashi>aoki else "AOKI" if takahashi<aoki else "DRAW")
n = int(input()) s = [list(input()) for i in range(N)] takahashi = 0 aoki = 0 for s in S: takahashi += s.count('R') aoki += s.count('B') print('TAKAHASHI' if takahashi > aoki else 'AOKI' if takahashi < aoki else 'DRAW')
# Third order Newton's method max_steps = 50 ## max number of iterations to use x0 = 2. def f(x): return x**3 - 2. def fp(x): return 3*x**2 def fpp(x): return 6*x def third_order(): global x x = [] x.append(x0) for i in range(max_steps): x.append(x[i] - f(x[i])/fp(x[i]) - (fpp(x[i])*f(x[i])**2)/(fp(x[i])**3)) return x
max_steps = 50 x0 = 2.0 def f(x): return x ** 3 - 2.0 def fp(x): return 3 * x ** 2 def fpp(x): return 6 * x def third_order(): global x x = [] x.append(x0) for i in range(max_steps): x.append(x[i] - f(x[i]) / fp(x[i]) - fpp(x[i]) * f(x[i]) ** 2 / fp(x[i]) ** 3) return x
#LeetCode problem 819: Most Common Word class Solution: def mostCommonWord(self, paragraph: str, banned: List[str]) -> str: ban = set(banned) words = re.findall(r'\w+', paragraph.lower()) return collections.Counter(w for w in words if w not in ban).most_common(1)[0][0]
class Solution: def most_common_word(self, paragraph: str, banned: List[str]) -> str: ban = set(banned) words = re.findall('\\w+', paragraph.lower()) return collections.Counter((w for w in words if w not in ban)).most_common(1)[0][0]
pattern_zero=[0.0, 0.0099989797, 0.0197938986, 0.0202020202, 0.0293847567, 0.0302009999, 0.0387715539, 0.0399959188, 0.0404040404, 0.0479542904, 0.0495867769, 0.0504030201, 0.056932966, 0.0589735741, 0.060197939, 0.0606060606, 0.0657075809, 0.0681563106, 0.0697887971, 0.0706050403, 0.0742781349, 0.0771349862, 0.0791755943, 0.0803999592, 0.0808080808, 0.0826446281, 0.0859096011, 0.0883583308, 0.0899908173, 0.0908070605, 0.0944801551, 0.0973370064, 0.0987654321, 0.0993776145, 0.1006019794, 0.101010101, 0.1028466483, 0.1061116213, 0.1065197429, 0.108560351, 0.1101928375, 0.1110090807, 0.1140699929, 0.1146821753, 0.1175390266, 0.1189674523, 0.1195796347, 0.1208039996, 0.1212121212, 0.121416182, 0.1230486685, 0.1263136415, 0.1267217631, 0.1285583104, 0.1287623712, 0.1303948577, 0.1312111009, 0.1342720131, 0.1348841955, 0.1354963779, 0.1377410468, 0.1391694725, 0.1397816549, 0.1410060198, 0.1414141414, 0.1416182022, 0.1422303847, 0.1432506887, 0.1465156617, 0.1469237833, 0.1487603306, 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[0.0606060606061, 0.9393939393939, 0.3939393939394, 0.7272727272727, 0.6060606060606, 0.2727272727273], 0.65493317: [0.040404040404, 0.4040404040404, 0.959595959596, 0.5959595959596], 0.472502806: [0.8888888888889, 0.1111111111111], 0.407611468: [0.0808080808081, 0.8080808080808, 0.1919191919192, 0.9191919191919], 0.116212631: [0.9292929292929, 0.0707070707071, 0.2929292929293, 0.7070707070707], 0.80348944: [0.1212121212121, 0.4545454545455, 0.8787878787879, 0.2121212121212, 0.7878787878788, 0.5454545454545], 0.646362616: [0.010101010101, 0.8989898989899, 0.989898989899, 0.1010101010101], 0.41046832: [0.0606060606061, 0.9393939393939, 0.3939393939394, 0.7272727272727, 0.6060606060606, 0.2727272727273], 0.277828793: [0.9292929292929, 0.0707070707071, 0.2929292929293, 0.7070707070707], 0.883889399: [0.9292929292929, 0.2929292929293, 0.7070707070707, 0.0707070707071], 0.85144373: [0.6868686868687, 0.3131313131313, 0.8686868686869, 0.1313131313131], 0.754106724: [0.3232323232323, 0.7676767676768, 0.2323232323232, 0.6767676767677], 0.656769717: [0.1414141414141, 0.8585858585859, 0.4141414141414, 0.5858585858586], 0.392306907: [0.040404040404, 0.4040404040404, 0.959595959596, 0.5959595959596], 0.944903581: [0.1212121212121, 0.4545454545455, 0.8787878787879, 0.2121212121212, 0.7878787878788, 0.5454545454545], 0.262524232: [0.010101010101, 0.8989898989899, 0.989898989899, 0.1010101010101], 0.223344557: [0.2222222222222, 0.7777777777778], 0.885725946: [0.2525252525253, 0.5252525252525, 0.4747474747475, 0.7474747474747], 0.723497602: [0.4646464646465, 0.5353535353535, 0.3535353535354, 0.6464646464646], 0.691051933: [0.1616161616162, 0.3838383838384, 0.6161616161616, 0.8383838383838], 0.858177737: [0.020202020202, 0.979797979798, 0.2020202020202, 0.7979797979798], 0.474339353: [0.020202020202, 0.979797979798, 0.2020202020202, 0.7979797979798], 0.441893684: [0.949494949495, 0.0505050505051, 0.9494949494949, 0.4949494949495, 0.5050505050505], 0.124783185: [0.0808080808081, 0.8080808080808, 0.1919191919192, 0.9191919191919], 0.724721967: [0.949494949495, 0.0505050505051, 0.9494949494949, 0.4949494949495, 0.5050505050505], 0.31496786: [0.2424242424242, 0.9090909090909, 0.4242424242424, 0.7575757575758, 0.0909090909091, 0.5757575757576], 0.231915111: [0.020202020202, 0.979797979798, 0.2020202020202, 0.7979797979798], 0.199469442: [0.949494949495, 0.0505050505051, 0.9494949494949, 0.4949494949495, 0.5050505050505], 0.757779818: [0.1414141414141, 0.8585858585859, 0.4141414141414, 0.5858585858586], 0.728395062: [0.2222222222222, 0.7777777777778], 0.459034792: [0.4444444444444, 0.5555555555556], 0.582083461: [0.4646464646465, 0.5353535353535, 0.3535353535354, 0.6464646464646], 0.704315886: [0.4848484848485, 0.8484848484848, 0.8181818181818, 0.1818181818182, 0.1515151515152, 0.5151515151515], 0.151719212: [0.1414141414141, 0.8585858585859, 0.4141414141414, 0.5858585858586], 0.576573819: [0.2828282828283, 0.1717171717172, 0.8282828282828, 0.7171717171717], 0.580246914: [0.4444444444444, 0.5555555555556], 0.435159678: [0.2828282828283, 0.1717171717172, 0.8282828282828, 0.7171717171717], 0.37026834: [0.3232323232323, 0.7676767676768, 0.2323232323232, 0.6767676767677], 0.900826446: [0.2424242424242, 0.9090909090909, 0.4242424242424, 0.7575757575758, 0.0909090909091, 0.5757575757576], 0.039485767: [0.030303030303, 0.969696969697, 0.3636363636364, 0.6969696969697, 0.6363636363636, 0.3030303030303], 0.272931334: [0.1414141414141, 0.8585858585859, 0.4141414141414, 0.5858585858586], 0.706152433: [0.969696969697, 0.030303030303, 0.3636363636364, 0.6969696969697, 0.6363636363636, 0.3030303030303], 0.544536272: [0.030303030303, 0.969696969697, 0.3636363636364, 0.6969696969697, 0.6363636363636, 0.3030303030303], 0.809203143: [0.2222222222222, 0.7777777777778], 0.50127538: [0.4646464646465, 0.5353535353535, 0.3535353535354, 0.6464646464646], 0.21661055: [0.4444444444444, 0.5555555555556], 0.61452913: [0.040404040404, 0.4040404040404, 0.959595959596, 0.5959595959596], 0.549637792: [0.1616161616162, 0.3838383838384, 0.6161616161616, 0.8383838383838], 0.082542598: [0.2626262626263, 0.7373737373737, 0.3737373737374, 0.6262626262626], 0.575757576: [0.0, 0.3333333333333, 0.6666666666667], 0.387409448: [0.0808080808081, 0.8080808080808, 0.1919191919192, 0.9191919191919]}
''' Regex Version of strip Author: <your name> ''' def restrip(string, chars=None): '''Given a string, do the same thing as the strip() string method. If no other arguments are passed other than the string, then whitespace characters will be removed from the beginning and end of the string. Otherwise, the characters speci ed in the second argu- ment to the function will be removed from the string. ''' # place your solution in this function
""" Regex Version of strip Author: <your name> """ def restrip(string, chars=None): """Given a string, do the same thing as the strip() string method. If no other arguments are passed other than the string, then whitespace characters will be removed from the beginning and end of the string. Otherwise, the characters speci ed in the second argu- ment to the function will be removed from the string. """
def letters(word): ls = set() for c in word: ls |= {c} return ls def test_letters(): assert letters("book") == {'b', 'k', 'o'} assert letters("few") == {'f', 'e', 'w'} def letter_count(word): lc = {} for c in word: if c in lc: lc[c] += 1 else: lc[c] = 1 return lc def test_letter_count(): assert letter_count("book") == {'b': 1, 'o': 2, 'k': 1}
def letters(word): ls = set() for c in word: ls |= {c} return ls def test_letters(): assert letters('book') == {'b', 'k', 'o'} assert letters('few') == {'f', 'e', 'w'} def letter_count(word): lc = {} for c in word: if c in lc: lc[c] += 1 else: lc[c] = 1 return lc def test_letter_count(): assert letter_count('book') == {'b': 1, 'o': 2, 'k': 1}
WSStyleSheet = ''' QWidget { color: #ddd; background: transparent; } QWidget:disabled { color: #232323; background-color: transparent; } QLineEdit { border: 1px solid #232323; border-radius: 4px; } QToolTip { border: 1px solid #232323; background: #232323; color: #ddd; } QLineEdit:hover, QLineEdit:focus { border: 1px solid #FFC132; selection-color: #232323; selection-background-color: #FFC132; } QCheckBox::indicator { width : 12px; height : 12px; border-radius: 8px; border: 2px solid #232323; } QCheckBox::indicator:checked:hover, QCheckBox::indicator:unchecked:hover { border: 2px solid #FFC132; } QCheckBox::indicator:checked { background: #ddd; } QCheckBox::indicator:unchecked { background: #232323; } QAbstractItemView { border: 1px solid #232323; selection-color: #232323; selection-background-color: #FFC132; } QHeaderView::section { Background-color:#232323; padding:5px; border:0; font-weight: bold; } QScrollBar:vertical { background: transparent; width: 8px; border: 0; } QScrollBar::handle:vertical { background: #232323; min-height: 20px; border-radius: 4px; } QScrollBar::handle:vertical:hover { background: #FFC132; } QScrollBar::add-line:vertical, QScrollBar::sub-line:vertical, QScrollBar::add-page:vertical, QScrollBar::sub-page:vertical { border: none; background: none; } QScrollBar:horizontal { background: transparent; height: 8px; border: 1px solid #232323; } QScrollBar::handle:horizontal { background: #232323; min-width: 20px; border-radius: 4px; } QScrollBar::handle:horizontal:hover { background: #FFC132; } QScrollBar::add-line:horizontal, QScrollBar::sub-line:horizontal, QScrollBar::add-page:horizontal, QScrollBar::sub-page:horizontal { border: none; background: none; } QPushButton { background-color: #555; border: 2px solid #555; padding: 5px; border-radius: 4px; padding-left: 5px; padding-right: 5px; } QPushButton:hover{ color: #FFC132; border-color: #FFC132; } QPushButton:pressed, QPushButton:checked { color: #232323; border-color: #FFC132; background-color: #FFC132; } QPushButton:checked{ color: #FFC132; border-color: #FFC132; background-color: #232323; font-weight: bold; } '''
ws_style_sheet = '\nQWidget {\n\tcolor: #ddd;\n\tbackground: transparent;\n}\n\nQWidget:disabled {\n\tcolor: #232323;\n\tbackground-color: transparent;\n}\n\nQLineEdit {\n\tborder: 1px solid #232323;\n\tborder-radius: 4px;\n}\n\nQToolTip {\n\tborder: 1px solid #232323;\n\tbackground: #232323;\n\tcolor: #ddd;\n}\n\nQLineEdit:hover, QLineEdit:focus {\n\tborder: 1px solid #FFC132;\n selection-color: #232323;\n\tselection-background-color: #FFC132;\n}\nQCheckBox::indicator {\n\twidth : 12px;\n\theight : 12px;\n\tborder-radius: 8px;\n\tborder: 2px solid #232323;\n}\nQCheckBox::indicator:checked:hover, QCheckBox::indicator:unchecked:hover {\n\tborder: 2px solid #FFC132;\n}\nQCheckBox::indicator:checked {\n\tbackground: #ddd;\n}\nQCheckBox::indicator:unchecked {\n\tbackground: #232323;\n}\n\nQAbstractItemView {\n\tborder: 1px solid #232323;\n selection-color: #232323;\n\tselection-background-color: #FFC132;\n}\n\nQHeaderView::section {\n\tBackground-color:#232323;\n\tpadding:5px;\n\tborder:0;\n\tfont-weight: bold;\n}\n\nQScrollBar:vertical {\n\tbackground: transparent;\n\twidth: 8px;\n\tborder: 0;\n}\nQScrollBar::handle:vertical {\n\tbackground: #232323;\n\tmin-height: 20px;\n\tborder-radius: 4px;\n}\n\nQScrollBar::handle:vertical:hover {\n\tbackground: #FFC132;\n}\nQScrollBar::add-line:vertical, QScrollBar::sub-line:vertical, QScrollBar::add-page:vertical, QScrollBar::sub-page:vertical {\n\tborder: none;\n\tbackground: none;\n}\nQScrollBar:horizontal {\n\tbackground: transparent;\n\theight: 8px;\n\tborder: 1px solid #232323;\n}\nQScrollBar::handle:horizontal {\n\tbackground: #232323;\n\tmin-width: 20px;\n\tborder-radius: 4px;\n}\nQScrollBar::handle:horizontal:hover {\n\tbackground: #FFC132;\n}\nQScrollBar::add-line:horizontal, QScrollBar::sub-line:horizontal, QScrollBar::add-page:horizontal, QScrollBar::sub-page:horizontal {\n\tborder: none;\n\tbackground: none;\n}\n\nQPushButton {\n\tbackground-color: #555;\n\tborder: 2px solid #555;\n\tpadding: 5px;\n\tborder-radius: 4px;\n\tpadding-left: 5px;\n\tpadding-right: 5px;\n}\nQPushButton:hover{\n\tcolor: #FFC132;\n\tborder-color: #FFC132;\n}\nQPushButton:pressed, QPushButton:checked {\n\tcolor: #232323;\n\tborder-color: #FFC132;\n\tbackground-color: #FFC132;\n}\nQPushButton:checked{\n\tcolor: #FFC132;\n\tborder-color: #FFC132;\n\tbackground-color: #232323;\n\tfont-weight: bold;\n}\n'
class Solution: def minCostII(self, costs: List[List[int]]) -> int: if not any(costs): return 0 n, k = len(costs), len(costs[0]) for i in range(1, n): first, first_idx, second = math.inf, 0, math.inf for j, val in enumerate(costs[i - 1]): if val < first: first, first_idx, second = val, j, first elif val < second: second = val for j in range(k): if j == first_idx: costs[i][j] += second else: costs[i][j] += first return min(costs[-1])
class Solution: def min_cost_ii(self, costs: List[List[int]]) -> int: if not any(costs): return 0 (n, k) = (len(costs), len(costs[0])) for i in range(1, n): (first, first_idx, second) = (math.inf, 0, math.inf) for (j, val) in enumerate(costs[i - 1]): if val < first: (first, first_idx, second) = (val, j, first) elif val < second: second = val for j in range(k): if j == first_idx: costs[i][j] += second else: costs[i][j] += first return min(costs[-1])
libraries = '' entity_header = '''`timescale 1 ns / 1 ps module axilite_reg_if # ( // Width of S_AXI data bus parameter integer C_S_AXI_DATA_WIDTH = 32, // Width of S_AXI address bus parameter integer C_S_AXI_ADDR_WIDTH = 8 ) ( ''' st_in = ' input wire {name},\n' st_out = ' output wire {name},\n' sv_in = ' input wire [{width}:0] {name},\n' sv_out = ' output wire [{width}:0] {name},\n' clock_comment = ' // Clocks\n' pl_port_comment = ' // PL Ports\n' axi_ports_end = ''' // AXILite Signal input wire s_axi_aclk, input wire s_axi_areset, input wire [C_S_AXI_ADDR_WIDTH-1 : 0] s_axi_awaddr, input wire [2 : 0] s_axi_awprot, input wire s_axi_awvalid, output wire s_axi_awready, input wire [C_S_AXI_DATA_WIDTH-1 : 0] s_axi_wdata, input wire [(C_S_AXI_DATA_WIDTH/8)-1 : 0] s_axi_wstrb, input wire s_axi_wvalid, output wire s_axi_wready, output wire [1 : 0] s_axi_bresp, output wire s_axi_bvalid, input wire s_axi_bready, input wire [C_S_AXI_ADDR_WIDTH-1 : 0] s_axi_araddr, input wire [2 : 0] s_axi_arprot, input wire s_axi_arvalid, output wire s_axi_arready, output wire [C_S_AXI_DATA_WIDTH-1 : 0] s_axi_rdata, output wire [1 : 0] s_axi_rresp, output wire s_axi_rvalid, input wire s_axi_rready ); '''.format components = '' constants = ''' localparam integer ADDR_LSB = (C_S_AXI_DATA_WIDTH/32) + 1; localparam integer OPT_MEM_ADDR_BITS = {}; ''' internal_signals = ''' // AXI4LITE signals reg [C_S_AXI_ADDR_WIDTH-1 : 0] axi_awaddr; reg axi_awready; reg axi_wready; reg [1 : 0] axi_bresp; reg axi_bvalid; reg [C_S_AXI_ADDR_WIDTH-1 : 0] axi_araddr; reg axi_arready; reg [C_S_AXI_DATA_WIDTH-1 : 0] axi_rdata; reg [1 : 0] axi_rresp; reg axi_rvalid; wire slv_reg_rden; wire slv_reg_wren; reg [C_S_AXI_DATA_WIDTH-1:0] reg_data_out; integer byte_index; ''' signal_sv = ' wire [{width}:0] {name};\n' signal_st = ' wire {name};\n' reg_signal = ' reg [C_S_AXI_DATA_WIDTH-1:0] slv_reg{num};\n' begin_io_assgns_axi_logic = ''' // I/O Connections assignments assign s_axi_awready = axi_awready; assign s_axi_wready = axi_wready; assign s_axi_bresp = axi_bresp; assign s_axi_bvalid = axi_bvalid; assign s_axi_arready = axi_arready; assign s_axi_rdata = axi_rdata; assign s_axi_rresp = axi_rresp; assign s_axi_rvalid = axi_rvalid; // Implement axi_awready generation // axi_awready is asserted for one s_axi_aclk clock cycle when both // s_axi_awvalid and s_axi_wvalid are asserted. axi_awready is // de-asserted when reset is low. always @( posedge s_axi_aclk ) begin if ( s_axi_areset == 1'b1 ) begin axi_awready <= 1'b0; end else begin if (~axi_awready && s_axi_awvalid && s_axi_wvalid) begin // slave is ready to accept write address when // there is a valid write address and write data // on the write address and data bus. This design // expects no outstanding transactions. axi_awready <= 1'b1; end else begin axi_awready <= 1'b0; end end end // Implement axi_awaddr latching // This process is used to latch the address when both // s_axi_awvalid and s_axi_wvalid are valid. always @( posedge s_axi_aclk ) begin if ( s_axi_areset == 1'b1 ) begin axi_awaddr <= 0; end else begin if (~axi_awready && s_axi_awvalid && s_axi_wvalid) begin // Write Address latching axi_awaddr <= s_axi_awaddr; end end end // Implement axi_wready generation // axi_wready is asserted for one s_axi_aclk clock cycle when both // s_axi_awvalid and s_axi_wvalid are asserted. axi_wready is // de-asserted when reset is low. always @( posedge s_axi_aclk ) begin if ( s_axi_areset == 1'b1 ) begin axi_wready <= 1'b0; end else begin if (~axi_wready && s_axi_wvalid && s_axi_awvalid) begin // slave is ready to accept write data when // there is a valid write address and write data // on the write address and data bus. This design // expects no outstanding transactions. axi_wready <= 1'b1; end else begin axi_wready <= 1'b0; end end end // Implement memory mapped register select and write logic generation // The write data is accepted and written to memory mapped registers when // axi_awready, s_axi_wvalid, axi_wready and s_axi_wvalid are asserted. Write strobes are used to // select byte enables of slave registers while writing. // These registers are cleared when reset (active low) is applied. // Slave register write enable is asserted when valid address and data are available // and the slave is ready to accept the write address and write data. assign slv_reg_wren = axi_wready && s_axi_wvalid && axi_awready && s_axi_awvalid; ''' axi_write_header = ''' always @( posedge s_axi_aclk ) begin : axi_write_proc reg [OPT_MEM_ADDR_BITS:0] loc_addr; if ( s_axi_areset == 1'b1 ) begin''' axi_write_reset_reg = '\n'+' '*4+'slv_reg{} <= 0;' axi_write_else_header = ''' end else begin loc_addr = axi_awaddr[ADDR_LSB+OPT_MEM_ADDR_BITS:ADDR_LSB]; if (slv_reg_wren) begin''' axi_write_assign = ''' if (loc_addr == {len}'b{val}) begin for ( byte_index = 0; byte_index <= (C_S_AXI_DATA_WIDTH/8)-1; byte_index = byte_index+1 ) begin if ( s_axi_wstrb[byte_index] == 1 ) begin slv_reg{num}[(byte_index*8) +: 8] <= s_axi_wdata[(byte_index*8) +: 8]; end end''' axi_write_assign_else = '\n end else begin' axi_write_assign_end = '\n end' axi_write_else = '\n end else begin' axi_sclr_part1 = '{' axi_sclr_part2 = ', ' axi_sclr_part3 = '[{}:{}]' axi_sclr_part4 = '{size}\'b{val}' axi_sclr_part5 = '};' axi_write_footer = ''' end end end ''' axi_logic2 = ''' // Implement write response logic generation // The write response and response valid signals are asserted by the slave // when axi_wready, s_axi_wvalid, axi_wready and s_axi_wvalid are asserted. // This marks the acceptance of address and indicates the status of // write transaction. always @( posedge s_axi_aclk ) begin if ( s_axi_areset == 1'b1 ) begin axi_bvalid <= 0; axi_bresp <= 2'b0; end else begin if (axi_awready && s_axi_awvalid && ~axi_bvalid && axi_wready && s_axi_wvalid) begin // indicates a valid write response is available axi_bvalid <= 1'b1; axi_bresp <= 2'b0; // 'OKAY' response end // work error responses in future else begin if (s_axi_bready && axi_bvalid) //check if bready is asserted while bvalid is high) //(there is a possibility that bready is always asserted high) begin axi_bvalid <= 1'b0; end end end end // Implement axi_arready generation // axi_arready is asserted for one s_axi_aclk clock cycle when // s_axi_arvalid is asserted. axi_awready is // de-asserted when reset (active low) is asserted. // The read address is also latched when s_axi_arvalid is // asserted. axi_araddr is reset to zero on reset assertion. always @( posedge s_axi_aclk ) begin if ( s_axi_areset == 1'b1 ) begin axi_arready <= 1'b0; axi_araddr <= 32'b0; end else begin if (~axi_arready && s_axi_arvalid) begin // indicates that the slave has acceped the valid read address axi_arready <= 1'b1; // Read address latching axi_araddr <= s_axi_araddr; end else begin axi_arready <= 1'b0; end end end // Implement axi_arvalid generation // axi_rvalid is asserted for one s_axi_aclk clock cycle when both // s_axi_arvalid and axi_arready are asserted. The slave registers // data are available on the axi_rdata bus at this instance. The // assertion of axi_rvalid marks the validity of read data on the // bus and axi_rresp indicates the status of read transaction.axi_rvalid // is deasserted on reset (active low). axi_rresp and axi_rdata are // cleared to zero on reset (active low). always @( posedge s_axi_aclk ) begin if ( s_axi_areset == 1'b1 ) begin axi_rvalid <= 0; axi_rresp <= 0; end else begin if (axi_arready && s_axi_arvalid && ~axi_rvalid) begin // Valid read data is available at the read data bus axi_rvalid <= 1'b1; axi_rresp <= 2'b0; // 'OKAY' response end else if (axi_rvalid && s_axi_rready) begin // Read data is accepted by the master axi_rvalid <= 1'b0; end end end // Implement memory mapped register select and read logic generation // Slave register read enable is asserted when valid address is available // and the slave is ready to accept the read address. assign slv_reg_rden = axi_arready & s_axi_arvalid & ~axi_rvalid; ''' reg_data_out_header = ''' always @(*) begin if ( s_axi_areset == 1'b1 ) begin reg_data_out <= 0; end else begin // Address decoding for reading registers case ( axi_araddr[ADDR_LSB+OPT_MEM_ADDR_BITS:ADDR_LSB] )''' reg_data_out_when = ''' {size}'b{num_bin} : reg_data_out <= slv_reg{num};''' reg_data_out_footer_axi_logic = ''' default : reg_data_out <= 0; endcase end end // Output register or memory read data always @( posedge s_axi_aclk ) begin if ( s_axi_areset == 1'b1 ) begin axi_rdata <= 0; end else begin // When there is a valid read address (s_axi_arvalid) with // acceptance of read address by the slave (axi_arready), // output the read dada if (slv_reg_rden) begin axi_rdata <= reg_data_out; // register read data end end end ''' ctrl_sig_assgns_header = '\n // Assign registers to control signals\n' ctrl_sig_assgns = ' assign {:{}} = slv_reg{}[{}:{}];\n' ctrl_sig_assgns_1bit = ' assign {:{}} = slv_reg{}[{}];\n' sts_sig_assgns_header = ''' // Assign status signals to registers always@(posedge s_axi_aclk) begin : stat_to_reg_proc reg [OPT_MEM_ADDR_BITS:0] loc_addr; if (s_axi_areset == 1'b1) begin''' sts_sig_assgns_reset = '\n slv_reg{} <= 0;' sts_sig_assgns_reset_else = ''' end else begin loc_addr = axi_awaddr[ADDR_LSB + OPT_MEM_ADDR_BITS:ADDR_LSB];''' sts_sig_assgns_no_clr = '\n slv_reg{reg_no}[{msb}:{lsb}] <= {signal};' sts_sig_assgns_no_clr_1bit = '\n slv_reg{reg_no}[{msb}] <= {signal};' sts_sig_assgns_with_clr = ''' if ({signal_valid} == 1'b1) begin slv_reg{reg_no}({msb} downto {lsb}) <= {signal}; end else if (slv_reg_wren == 1'b1 && loc_addr == {size}'b{addr_bin} && s_axi_wstrb[{strb_lsb}:{strb_msb}] == "{strb_1s}" then slv_reg{reg_no}({msb} downto {lsb}) <= (others => \'0\'); else slv_reg{reg_no}({msb} downto {lsb}) <= slv_reg{reg_no}({msb} downto {lsb}); end''' sts_sig_assgns_with_clr_1bit = ''' if ({signal_valid} == 1'b1) begin slv_reg{reg_no}[{msb}] <= {signal}; end else if (slv_reg_wren == 1'b1 && loc_addr == {size}'b{addr_bin} && s_axi_wstrb[{strb_lsb}:{strb_msb}] == {strb_size}'b{strb_1s}) begin slv_reg{reg_no}[{msb}] <= 1\'b0; end else begin slv_reg{reg_no}[{msb}] <= slv_reg{reg_no}[{msb}]; end''' sts_sig_assgns_footer = ''' end end ''' cdc_inst_pl_read = ''' cdc_sync # ( .WIDTH ({width}), .WITH_VLD (0), .DAT_IS_REG (1) ) {signal}_cdc ( .src_clk (s_axi_aclk), .src_dat ({signal}_sync), .src_vld (1'b1), .dst_clk ({clock}), .dst_dat ({signal}), .dst_vld () ); ''' cdc_inst_pl_read_pulse = ''' cdc_sync # ( .WIDTH ({width}), .WITH_VLD (0), .SRC_PER_NS ({src_per}), .DST_PER_NS ({dst_per}), .IS_PULSE (1) ) {signal}_cdc ( .src_clk (s_axi_aclk), .src_dat ({signal}_sync), .src_vld (1'b1), .dst_clk ({clock}), .dst_dat ({signal}), .dst_vld () ); ''' cdc_inst_pl_write = ''' cdc_sync # ( .WIDTH ({width}), .WITH_VLD (0), .DAT_IS_REG (0) ) {signal}_cdc ( .src_clk ({clock}), .src_dat ({signal}), .src_vld (1'b1), .dst_clk (s_axi_aclk), .dst_dat ({signal}_sync), .dst_vld () ); ''' cdc_inst_pl_write_vld = ''' cdc_sync # ( .WIDTH ({width}), .WITH_VLD (1), .SRC_PER_NS ({src_per}), .DST_PER_NS ({dst_per}), .DAT_IS_REG (0) ) {signal}_cdc ( .src_clk ({clock}), .src_dat ({signal}), .src_vld ({signal}_vld), .dst_clk (s_axi_aclk), .dst_dat ({signal}_sync), .dst_vld ({signal}_vld_sync) ); ''' arc_footer = '\nendmodule'
libraries = '' entity_header = '`timescale 1 ns / 1 ps\n\nmodule axilite_reg_if #\n (\n // Width of S_AXI data bus\n parameter integer C_S_AXI_DATA_WIDTH = 32,\n // Width of S_AXI address bus\n parameter integer C_S_AXI_ADDR_WIDTH = 8\n )\n (\n' st_in = ' input wire {name},\n' st_out = ' output wire {name},\n' sv_in = ' input wire [{width}:0] {name},\n' sv_out = ' output wire [{width}:0] {name},\n' clock_comment = ' // Clocks\n' pl_port_comment = ' // PL Ports\n' axi_ports_end = ' // AXILite Signal\n input wire s_axi_aclk,\n input wire s_axi_areset,\n input wire [C_S_AXI_ADDR_WIDTH-1 : 0] s_axi_awaddr,\n input wire [2 : 0] s_axi_awprot,\n input wire s_axi_awvalid,\n output wire s_axi_awready,\n input wire [C_S_AXI_DATA_WIDTH-1 : 0] s_axi_wdata,\n input wire [(C_S_AXI_DATA_WIDTH/8)-1 : 0] s_axi_wstrb,\n input wire s_axi_wvalid,\n output wire s_axi_wready,\n output wire [1 : 0] s_axi_bresp,\n output wire s_axi_bvalid,\n input wire s_axi_bready,\n input wire [C_S_AXI_ADDR_WIDTH-1 : 0] s_axi_araddr,\n input wire [2 : 0] s_axi_arprot,\n input wire s_axi_arvalid,\n output wire s_axi_arready,\n output wire [C_S_AXI_DATA_WIDTH-1 : 0] s_axi_rdata,\n output wire [1 : 0] s_axi_rresp,\n output wire s_axi_rvalid,\n input wire s_axi_rready\n );\n'.format components = '' constants = '\n localparam integer ADDR_LSB = (C_S_AXI_DATA_WIDTH/32) + 1;\n localparam integer OPT_MEM_ADDR_BITS = {};\n' internal_signals = '\n // AXI4LITE signals\n reg [C_S_AXI_ADDR_WIDTH-1 : 0] axi_awaddr;\n reg axi_awready;\n reg axi_wready;\n reg [1 : 0] axi_bresp;\n reg axi_bvalid;\n reg [C_S_AXI_ADDR_WIDTH-1 : 0] axi_araddr;\n reg axi_arready;\n reg [C_S_AXI_DATA_WIDTH-1 : 0] axi_rdata;\n reg [1 : 0] axi_rresp;\n reg axi_rvalid;\n\n wire slv_reg_rden;\n wire slv_reg_wren;\n reg [C_S_AXI_DATA_WIDTH-1:0] reg_data_out;\n integer byte_index;\n\n' signal_sv = ' wire [{width}:0] {name};\n' signal_st = ' wire {name};\n' reg_signal = ' reg [C_S_AXI_DATA_WIDTH-1:0] slv_reg{num};\n' begin_io_assgns_axi_logic = "\n // I/O Connections assignments\n assign s_axi_awready = axi_awready;\n assign s_axi_wready = axi_wready;\n assign s_axi_bresp = axi_bresp;\n assign s_axi_bvalid = axi_bvalid;\n assign s_axi_arready = axi_arready;\n assign s_axi_rdata = axi_rdata;\n assign s_axi_rresp = axi_rresp;\n assign s_axi_rvalid = axi_rvalid;\n // Implement axi_awready generation\n // axi_awready is asserted for one s_axi_aclk clock cycle when both\n // s_axi_awvalid and s_axi_wvalid are asserted. axi_awready is\n // de-asserted when reset is low.\n\n always @( posedge s_axi_aclk )\n begin\n if ( s_axi_areset == 1'b1 )\n begin\n axi_awready <= 1'b0;\n end \n else\n begin \n if (~axi_awready && s_axi_awvalid && s_axi_wvalid)\n begin\n // slave is ready to accept write address when \n // there is a valid write address and write data\n // on the write address and data bus. This design \n // expects no outstanding transactions. \n axi_awready <= 1'b1;\n end\n else \n begin\n axi_awready <= 1'b0;\n end\n end \n end \n\n // Implement axi_awaddr latching\n // This process is used to latch the address when both \n // s_axi_awvalid and s_axi_wvalid are valid. \n\n always @( posedge s_axi_aclk )\n begin\n if ( s_axi_areset == 1'b1 )\n begin\n axi_awaddr <= 0;\n end \n else\n begin \n if (~axi_awready && s_axi_awvalid && s_axi_wvalid)\n begin\n // Write Address latching \n axi_awaddr <= s_axi_awaddr;\n end\n end \n end \n\n // Implement axi_wready generation\n // axi_wready is asserted for one s_axi_aclk clock cycle when both\n // s_axi_awvalid and s_axi_wvalid are asserted. axi_wready is \n // de-asserted when reset is low. \n\n always @( posedge s_axi_aclk )\n begin\n if ( s_axi_areset == 1'b1 )\n begin\n axi_wready <= 1'b0;\n end \n else\n begin \n if (~axi_wready && s_axi_wvalid && s_axi_awvalid)\n begin\n // slave is ready to accept write data when \n // there is a valid write address and write data\n // on the write address and data bus. This design \n // expects no outstanding transactions. \n axi_wready <= 1'b1;\n end\n else\n begin\n axi_wready <= 1'b0;\n end\n end \n end \n\n // Implement memory mapped register select and write logic generation\n // The write data is accepted and written to memory mapped registers when\n // axi_awready, s_axi_wvalid, axi_wready and s_axi_wvalid are asserted. Write strobes are used to\n // select byte enables of slave registers while writing.\n // These registers are cleared when reset (active low) is applied.\n // Slave register write enable is asserted when valid address and data are available\n // and the slave is ready to accept the write address and write data.\n assign slv_reg_wren = axi_wready && s_axi_wvalid && axi_awready && s_axi_awvalid;\n" axi_write_header = "\n always @( posedge s_axi_aclk )\n begin : axi_write_proc\n reg [OPT_MEM_ADDR_BITS:0] loc_addr;\n if ( s_axi_areset == 1'b1 )\n begin" axi_write_reset_reg = '\n' + ' ' * 4 + 'slv_reg{} <= 0;' axi_write_else_header = '\n end \n else begin\n loc_addr = axi_awaddr[ADDR_LSB+OPT_MEM_ADDR_BITS:ADDR_LSB];\n if (slv_reg_wren) begin' axi_write_assign = "\n if (loc_addr == {len}'b{val}) begin\n for ( byte_index = 0; byte_index <= (C_S_AXI_DATA_WIDTH/8)-1; byte_index = byte_index+1 ) begin\n if ( s_axi_wstrb[byte_index] == 1 ) begin\n slv_reg{num}[(byte_index*8) +: 8] <= s_axi_wdata[(byte_index*8) +: 8];\n end\n end" axi_write_assign_else = '\n end else begin' axi_write_assign_end = '\n end' axi_write_else = '\n end else begin' axi_sclr_part1 = '{' axi_sclr_part2 = ', ' axi_sclr_part3 = '[{}:{}]' axi_sclr_part4 = "{size}'b{val}" axi_sclr_part5 = '};' axi_write_footer = '\n end\n end\n end\n' axi_logic2 = "\n // Implement write response logic generation\n // The write response and response valid signals are asserted by the slave \n // when axi_wready, s_axi_wvalid, axi_wready and s_axi_wvalid are asserted. \n // This marks the acceptance of address and indicates the status of \n // write transaction.\n\n always @( posedge s_axi_aclk )\n begin\n if ( s_axi_areset == 1'b1 )\n begin\n axi_bvalid <= 0;\n axi_bresp <= 2'b0;\n end \n else\n begin \n if (axi_awready && s_axi_awvalid && ~axi_bvalid && axi_wready && s_axi_wvalid)\n begin\n // indicates a valid write response is available\n axi_bvalid <= 1'b1;\n axi_bresp <= 2'b0; // 'OKAY' response \n end // work error responses in future\n else\n begin\n if (s_axi_bready && axi_bvalid) \n //check if bready is asserted while bvalid is high) \n //(there is a possibility that bready is always asserted high) \n begin\n axi_bvalid <= 1'b0; \n end \n end\n end\n end \n\n // Implement axi_arready generation\n // axi_arready is asserted for one s_axi_aclk clock cycle when\n // s_axi_arvalid is asserted. axi_awready is \n // de-asserted when reset (active low) is asserted. \n // The read address is also latched when s_axi_arvalid is \n // asserted. axi_araddr is reset to zero on reset assertion.\n\n always @( posedge s_axi_aclk )\n begin\n if ( s_axi_areset == 1'b1 )\n begin\n axi_arready <= 1'b0;\n axi_araddr <= 32'b0;\n end \n else\n begin \n if (~axi_arready && s_axi_arvalid)\n begin\n // indicates that the slave has acceped the valid read address\n axi_arready <= 1'b1;\n // Read address latching\n axi_araddr <= s_axi_araddr;\n end\n else\n begin\n axi_arready <= 1'b0;\n end\n end \n end \n\n // Implement axi_arvalid generation\n // axi_rvalid is asserted for one s_axi_aclk clock cycle when both \n // s_axi_arvalid and axi_arready are asserted. The slave registers \n // data are available on the axi_rdata bus at this instance. The \n // assertion of axi_rvalid marks the validity of read data on the \n // bus and axi_rresp indicates the status of read transaction.axi_rvalid \n // is deasserted on reset (active low). axi_rresp and axi_rdata are \n // cleared to zero on reset (active low). \n always @( posedge s_axi_aclk )\n begin\n if ( s_axi_areset == 1'b1 )\n begin\n axi_rvalid <= 0;\n axi_rresp <= 0;\n end \n else\n begin \n if (axi_arready && s_axi_arvalid && ~axi_rvalid)\n begin\n // Valid read data is available at the read data bus\n axi_rvalid <= 1'b1;\n axi_rresp <= 2'b0; // 'OKAY' response\n end \n else if (axi_rvalid && s_axi_rready)\n begin\n // Read data is accepted by the master\n axi_rvalid <= 1'b0;\n end \n end\n end \n\n // Implement memory mapped register select and read logic generation\n // Slave register read enable is asserted when valid address is available\n // and the slave is ready to accept the read address.\n assign slv_reg_rden = axi_arready & s_axi_arvalid & ~axi_rvalid;\n" reg_data_out_header = "\n always @(*)\n begin\n if ( s_axi_areset == 1'b1 )\n begin\n reg_data_out <= 0;\n end \n else\n begin \n // Address decoding for reading registers\n case ( axi_araddr[ADDR_LSB+OPT_MEM_ADDR_BITS:ADDR_LSB] )" reg_data_out_when = "\n {size}'b{num_bin} : reg_data_out <= slv_reg{num};" reg_data_out_footer_axi_logic = "\n default : reg_data_out <= 0;\n endcase\n end \n end\n\n // Output register or memory read data\n always @( posedge s_axi_aclk )\n begin\n if ( s_axi_areset == 1'b1 )\n begin\n axi_rdata <= 0;\n end \n else\n begin \n // When there is a valid read address (s_axi_arvalid) with \n // acceptance of read address by the slave (axi_arready), \n // output the read dada \n if (slv_reg_rden)\n begin\n axi_rdata <= reg_data_out; // register read data\n end \n end\n end\n" ctrl_sig_assgns_header = '\n // Assign registers to control signals\n' ctrl_sig_assgns = ' assign {:{}} = slv_reg{}[{}:{}];\n' ctrl_sig_assgns_1bit = ' assign {:{}} = slv_reg{}[{}];\n' sts_sig_assgns_header = "\n // Assign status signals to registers\n always@(posedge s_axi_aclk)\n begin : stat_to_reg_proc\n reg [OPT_MEM_ADDR_BITS:0] loc_addr;\n if (s_axi_areset == 1'b1) begin" sts_sig_assgns_reset = '\n slv_reg{} <= 0;' sts_sig_assgns_reset_else = '\n end else begin\n loc_addr = axi_awaddr[ADDR_LSB + OPT_MEM_ADDR_BITS:ADDR_LSB];' sts_sig_assgns_no_clr = '\n slv_reg{reg_no}[{msb}:{lsb}] <= {signal};' sts_sig_assgns_no_clr_1bit = '\n slv_reg{reg_no}[{msb}] <= {signal};' sts_sig_assgns_with_clr = '\n if ({signal_valid} == 1\'b1) begin\n slv_reg{reg_no}({msb} downto {lsb}) <= {signal};\n end else if (slv_reg_wren == 1\'b1 && loc_addr == {size}\'b{addr_bin}\n && s_axi_wstrb[{strb_lsb}:{strb_msb}] == "{strb_1s}" then\n slv_reg{reg_no}({msb} downto {lsb}) <= (others => \'0\');\n else\n slv_reg{reg_no}({msb} downto {lsb}) <= slv_reg{reg_no}({msb} downto {lsb});\n end' sts_sig_assgns_with_clr_1bit = "\n if ({signal_valid} == 1'b1) begin\n slv_reg{reg_no}[{msb}] <= {signal};\n end else if (slv_reg_wren == 1'b1 && loc_addr == {size}'b{addr_bin}\n && s_axi_wstrb[{strb_lsb}:{strb_msb}] == {strb_size}'b{strb_1s}) begin\n slv_reg{reg_no}[{msb}] <= 1'b0;\n end else begin\n slv_reg{reg_no}[{msb}] <= slv_reg{reg_no}[{msb}];\n end" sts_sig_assgns_footer = '\n end\n end\n' cdc_inst_pl_read = "\n cdc_sync # (\n .WIDTH ({width}),\n .WITH_VLD (0),\n .DAT_IS_REG (1)\n ) {signal}_cdc (\n .src_clk (s_axi_aclk),\n .src_dat ({signal}_sync),\n .src_vld (1'b1),\n .dst_clk ({clock}),\n .dst_dat ({signal}),\n .dst_vld ()\n );\n" cdc_inst_pl_read_pulse = "\n cdc_sync # (\n .WIDTH ({width}),\n .WITH_VLD (0),\n .SRC_PER_NS ({src_per}),\n .DST_PER_NS ({dst_per}),\n .IS_PULSE (1)\n ) {signal}_cdc (\n .src_clk (s_axi_aclk),\n .src_dat ({signal}_sync),\n .src_vld (1'b1),\n .dst_clk ({clock}),\n .dst_dat ({signal}),\n .dst_vld ()\n );\n" cdc_inst_pl_write = "\n cdc_sync # (\n .WIDTH ({width}),\n .WITH_VLD (0),\n .DAT_IS_REG (0)\n ) {signal}_cdc (\n .src_clk ({clock}),\n .src_dat ({signal}),\n .src_vld (1'b1),\n .dst_clk (s_axi_aclk),\n .dst_dat ({signal}_sync),\n .dst_vld ()\n );\n" cdc_inst_pl_write_vld = '\n cdc_sync # (\n .WIDTH ({width}),\n .WITH_VLD (1),\n .SRC_PER_NS ({src_per}),\n .DST_PER_NS ({dst_per}),\n .DAT_IS_REG (0)\n ) {signal}_cdc (\n .src_clk ({clock}),\n .src_dat ({signal}),\n .src_vld ({signal}_vld),\n .dst_clk (s_axi_aclk),\n .dst_dat ({signal}_sync),\n .dst_vld ({signal}_vld_sync)\n );\n' arc_footer = '\nendmodule'
__author__ = "Grzegorz Holak" def czy_parzysta(liczba): if not liczba % 2 == 0: return False return True def zrob_parzysta(nieparzysta): return nieparzysta + 1 def dzielenie(dzielna, dzielnik): if not czy_parzysta(dzielnik): dzielnik = zrob_parzysta(dzielnik) if dzielnik == 0: return dzielna return dzielna / dzielnik
__author__ = 'Grzegorz Holak' def czy_parzysta(liczba): if not liczba % 2 == 0: return False return True def zrob_parzysta(nieparzysta): return nieparzysta + 1 def dzielenie(dzielna, dzielnik): if not czy_parzysta(dzielnik): dzielnik = zrob_parzysta(dzielnik) if dzielnik == 0: return dzielna return dzielna / dzielnik
# Zapfun # from # https://siafoo.net/snippet/173 # via https://web.archive.org/web/20110203052513/https://siafoo.net/snippet/173 size(1280,900) fill(0.2) rect(0,0,WIDTH,HEIGHT) fill(1) stroke(0.2) strokewidth(1) font('Zapfino') for i in range(400): fontsize(random(30,400)) rotate(random(360)) chars = 'absdefghijklmnopqrstuvwxyz' p = textpath(choice(chars), random(-50, WIDTH + 100), random(-50, HEIGHT + 100)) drawpath(p)
size(1280, 900) fill(0.2) rect(0, 0, WIDTH, HEIGHT) fill(1) stroke(0.2) strokewidth(1) font('Zapfino') for i in range(400): fontsize(random(30, 400)) rotate(random(360)) chars = 'absdefghijklmnopqrstuvwxyz' p = textpath(choice(chars), random(-50, WIDTH + 100), random(-50, HEIGHT + 100)) drawpath(p)
class Notifier: pass class AnotherNotifier: pass
class Notifier: pass class Anothernotifier: pass
sexo = '' while sexo != 'M' and sexo != 'F': r = str(input('informe seu sexo [M/F]: ')).upper().strip()[0] sexo = r if r not in 'MF': print('dados invalidos. por favor, ', end='') print('Sexo {} registrado com sucesso!'.format(sexo)) # pode ser feito de outra forma sexo = str(input('informe seu sexo [M/F]: ')).upper().strip()[0] while sexo not in 'MFmf': sexo = str(input('dados invalidos. por favor, informe seu sexo [M/F]: ')).upper().strip()[0] print('Sexo {} registrado com sucesso!'.format(sexo))
sexo = '' while sexo != 'M' and sexo != 'F': r = str(input('informe seu sexo [M/F]: ')).upper().strip()[0] sexo = r if r not in 'MF': print('dados invalidos. por favor, ', end='') print('Sexo {} registrado com sucesso!'.format(sexo)) sexo = str(input('informe seu sexo [M/F]: ')).upper().strip()[0] while sexo not in 'MFmf': sexo = str(input('dados invalidos. por favor, informe seu sexo [M/F]: ')).upper().strip()[0] print('Sexo {} registrado com sucesso!'.format(sexo))
#!/usr/bin/env python3 def spiral_corners(size): yield 1 num = 1 sidelen = 3 while sidelen <= size: for _ in range(4): num += sidelen - 1 yield num sidelen += 2 print(sum(spiral_corners(1001)))
def spiral_corners(size): yield 1 num = 1 sidelen = 3 while sidelen <= size: for _ in range(4): num += sidelen - 1 yield num sidelen += 2 print(sum(spiral_corners(1001)))
class Solution1: def min_camera_cover(self, root): self._num_camera = 0 def dfs(node): if not node: return 2 left, right = dfs(node.left), dfs(node.right) if left == 0 or right == 0: self._num_camera += 1 return 1 return 2 if left == 1 or right == 1 else 0 return (dfs(root) == 0) + self._num_camera class SolutionMINE: def min_camera_cover(self, root): self._num_camera = 0 dummy = TreeNode(0, left=root, right=None) self.helper(dummy) return self._num_camera def helper(self, node): left = self.helper(node.left) if node.left else 0 right = self.helper(node.right) if node.right else 0 if left == 2 or right == 2: self._num_camera += 1 if left == right == 0: return 2 return max(left, right) - 1
class Solution1: def min_camera_cover(self, root): self._num_camera = 0 def dfs(node): if not node: return 2 (left, right) = (dfs(node.left), dfs(node.right)) if left == 0 or right == 0: self._num_camera += 1 return 1 return 2 if left == 1 or right == 1 else 0 return (dfs(root) == 0) + self._num_camera class Solutionmine: def min_camera_cover(self, root): self._num_camera = 0 dummy = tree_node(0, left=root, right=None) self.helper(dummy) return self._num_camera def helper(self, node): left = self.helper(node.left) if node.left else 0 right = self.helper(node.right) if node.right else 0 if left == 2 or right == 2: self._num_camera += 1 if left == right == 0: return 2 return max(left, right) - 1
# # PySNMP MIB module ZYXEL-STATIC-ROUTE-MIB (http://snmplabs.com/pysmi) # ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/ZYXEL-STATIC-ROUTE-MIB # Produced by pysmi-0.3.4 at Wed May 1 15:51:43 2019 # On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4 # Using Python version 3.7.3 (default, Mar 27 2019, 09:23:15) # ObjectIdentifier, Integer, OctetString = mibBuilder.importSymbols("ASN1", "ObjectIdentifier", "Integer", "OctetString") NamedValues, = mibBuilder.importSymbols("ASN1-ENUMERATION", "NamedValues") SingleValueConstraint, ConstraintsIntersection, ValueSizeConstraint, ValueRangeConstraint, ConstraintsUnion = mibBuilder.importSymbols("ASN1-REFINEMENT", "SingleValueConstraint", "ConstraintsIntersection", "ValueSizeConstraint", "ValueRangeConstraint", "ConstraintsUnion") NotificationGroup, ModuleCompliance = mibBuilder.importSymbols("SNMPv2-CONF", "NotificationGroup", "ModuleCompliance") Unsigned32, MibScalar, MibTable, MibTableRow, MibTableColumn, Bits, Counter32, iso, NotificationType, Integer32, IpAddress, Counter64, MibIdentifier, ObjectIdentity, TimeTicks, ModuleIdentity, Gauge32 = mibBuilder.importSymbols("SNMPv2-SMI", "Unsigned32", "MibScalar", "MibTable", "MibTableRow", "MibTableColumn", "Bits", "Counter32", "iso", "NotificationType", "Integer32", "IpAddress", "Counter64", "MibIdentifier", "ObjectIdentity", "TimeTicks", "ModuleIdentity", "Gauge32") DisplayString, TextualConvention, RowStatus = mibBuilder.importSymbols("SNMPv2-TC", "DisplayString", "TextualConvention", "RowStatus") esMgmt, = mibBuilder.importSymbols("ZYXEL-ES-SMI", "esMgmt") zyxelStaticRoute = ModuleIdentity((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 77)) if mibBuilder.loadTexts: zyxelStaticRoute.setLastUpdated('201207010000Z') if mibBuilder.loadTexts: zyxelStaticRoute.setOrganization('Enterprise Solution ZyXEL') if mibBuilder.loadTexts: zyxelStaticRoute.setContactInfo('') if mibBuilder.loadTexts: zyxelStaticRoute.setDescription('The subtree for static route') zyxelStaticRouteSetup = MibIdentifier((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 77, 1)) zyStaticRouteMaxNumberOfRoutes = MibScalar((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 77, 1, 1), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: zyStaticRouteMaxNumberOfRoutes.setStatus('current') if mibBuilder.loadTexts: zyStaticRouteMaxNumberOfRoutes.setDescription('The maximum number of static route entries that can be created.') zyxelStaticRouteTable = MibTable((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 77, 1, 2), ) if mibBuilder.loadTexts: zyxelStaticRouteTable.setStatus('current') if mibBuilder.loadTexts: zyxelStaticRouteTable.setDescription('The table cantains static route configuration.') zyxelStaticRouteEntry = MibTableRow((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 77, 1, 2, 1), ).setIndexNames((0, "ZYXEL-STATIC-ROUTE-MIB", "zyStaticRouteIpAddress"), (0, "ZYXEL-STATIC-ROUTE-MIB", "zyStaticRouteSubnetMask"), (0, "ZYXEL-STATIC-ROUTE-MIB", "zyStaticRouteGateway")) if mibBuilder.loadTexts: zyxelStaticRouteEntry.setStatus('current') if mibBuilder.loadTexts: zyxelStaticRouteEntry.setDescription('An entry contains static route configuration.') zyStaticRouteName = MibTableColumn((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 77, 1, 2, 1, 1), DisplayString()).setMaxAccess("readwrite") if mibBuilder.loadTexts: zyStaticRouteName.setStatus('current') if mibBuilder.loadTexts: zyStaticRouteName.setDescription('A descriptive name (up to 10 printable ASCII characters) for identification purposes.') zyStaticRouteIpAddress = MibTableColumn((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 77, 1, 2, 1, 2), IpAddress()) if mibBuilder.loadTexts: zyStaticRouteIpAddress.setStatus('current') if mibBuilder.loadTexts: zyStaticRouteIpAddress.setDescription('This parameter specifies the IP network address of the final destination. Routing is always based on network number. If you need to specify a route to a single host, use a subnet mask of 255.255.255.255 in the subnet mask field to force the network number to be identical to the host ID.') zyStaticRouteSubnetMask = MibTableColumn((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 77, 1, 2, 1, 3), IpAddress()) if mibBuilder.loadTexts: zyStaticRouteSubnetMask.setStatus('current') if mibBuilder.loadTexts: zyStaticRouteSubnetMask.setDescription('The subnet mask of an IP routing domain that is associated to a static route.') zyStaticRouteGateway = MibTableColumn((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 77, 1, 2, 1, 4), IpAddress()) if mibBuilder.loadTexts: zyStaticRouteGateway.setStatus('current') if mibBuilder.loadTexts: zyStaticRouteGateway.setDescription('The IP address of gateway. The gateway is an immediate neighbor of your Switch that will forward the packet to the destination. The gateway must be a router on the same segment as your Switch. ') zyStaticRouteMetric = MibTableColumn((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 77, 1, 2, 1, 5), Integer32()).setMaxAccess("readwrite") if mibBuilder.loadTexts: zyStaticRouteMetric.setStatus('current') if mibBuilder.loadTexts: zyStaticRouteMetric.setDescription('The metric represents the cost of transmission for routing purposes. IP routing uses hop count as the measurement of cost, with a minimum of 1 for directly connected networks. Enter a number that approximates the cost for this link. The number need not be precise, but it must be between 1 and 15. In practice, 2 or 3 is usually a good number.') zyStaticRouteRowStatus = MibTableColumn((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 77, 1, 2, 1, 6), RowStatus()).setMaxAccess("readcreate") if mibBuilder.loadTexts: zyStaticRouteRowStatus.setStatus('current') if mibBuilder.loadTexts: zyStaticRouteRowStatus.setDescription('This object allows entries to be created and deleted from the static route table.') mibBuilder.exportSymbols("ZYXEL-STATIC-ROUTE-MIB", zyStaticRouteRowStatus=zyStaticRouteRowStatus, zyStaticRouteIpAddress=zyStaticRouteIpAddress, zyStaticRouteSubnetMask=zyStaticRouteSubnetMask, zyStaticRouteMetric=zyStaticRouteMetric, zyxelStaticRouteTable=zyxelStaticRouteTable, zyxelStaticRouteSetup=zyxelStaticRouteSetup, zyStaticRouteGateway=zyStaticRouteGateway, zyxelStaticRouteEntry=zyxelStaticRouteEntry, zyxelStaticRoute=zyxelStaticRoute, PYSNMP_MODULE_ID=zyxelStaticRoute, zyStaticRouteMaxNumberOfRoutes=zyStaticRouteMaxNumberOfRoutes, zyStaticRouteName=zyStaticRouteName)
(object_identifier, integer, octet_string) = mibBuilder.importSymbols('ASN1', 'ObjectIdentifier', 'Integer', 'OctetString') (named_values,) = mibBuilder.importSymbols('ASN1-ENUMERATION', 'NamedValues') (single_value_constraint, constraints_intersection, value_size_constraint, value_range_constraint, constraints_union) = mibBuilder.importSymbols('ASN1-REFINEMENT', 'SingleValueConstraint', 'ConstraintsIntersection', 'ValueSizeConstraint', 'ValueRangeConstraint', 'ConstraintsUnion') (notification_group, module_compliance) = mibBuilder.importSymbols('SNMPv2-CONF', 'NotificationGroup', 'ModuleCompliance') (unsigned32, mib_scalar, mib_table, mib_table_row, mib_table_column, bits, counter32, iso, notification_type, integer32, ip_address, counter64, mib_identifier, object_identity, time_ticks, module_identity, gauge32) = mibBuilder.importSymbols('SNMPv2-SMI', 'Unsigned32', 'MibScalar', 'MibTable', 'MibTableRow', 'MibTableColumn', 'Bits', 'Counter32', 'iso', 'NotificationType', 'Integer32', 'IpAddress', 'Counter64', 'MibIdentifier', 'ObjectIdentity', 'TimeTicks', 'ModuleIdentity', 'Gauge32') (display_string, textual_convention, row_status) = mibBuilder.importSymbols('SNMPv2-TC', 'DisplayString', 'TextualConvention', 'RowStatus') (es_mgmt,) = mibBuilder.importSymbols('ZYXEL-ES-SMI', 'esMgmt') zyxel_static_route = module_identity((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 77)) if mibBuilder.loadTexts: zyxelStaticRoute.setLastUpdated('201207010000Z') if mibBuilder.loadTexts: zyxelStaticRoute.setOrganization('Enterprise Solution ZyXEL') if mibBuilder.loadTexts: zyxelStaticRoute.setContactInfo('') if mibBuilder.loadTexts: zyxelStaticRoute.setDescription('The subtree for static route') zyxel_static_route_setup = mib_identifier((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 77, 1)) zy_static_route_max_number_of_routes = mib_scalar((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 77, 1, 1), integer32()).setMaxAccess('readonly') if mibBuilder.loadTexts: zyStaticRouteMaxNumberOfRoutes.setStatus('current') if mibBuilder.loadTexts: zyStaticRouteMaxNumberOfRoutes.setDescription('The maximum number of static route entries that can be created.') zyxel_static_route_table = mib_table((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 77, 1, 2)) if mibBuilder.loadTexts: zyxelStaticRouteTable.setStatus('current') if mibBuilder.loadTexts: zyxelStaticRouteTable.setDescription('The table cantains static route configuration.') zyxel_static_route_entry = mib_table_row((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 77, 1, 2, 1)).setIndexNames((0, 'ZYXEL-STATIC-ROUTE-MIB', 'zyStaticRouteIpAddress'), (0, 'ZYXEL-STATIC-ROUTE-MIB', 'zyStaticRouteSubnetMask'), (0, 'ZYXEL-STATIC-ROUTE-MIB', 'zyStaticRouteGateway')) if mibBuilder.loadTexts: zyxelStaticRouteEntry.setStatus('current') if mibBuilder.loadTexts: zyxelStaticRouteEntry.setDescription('An entry contains static route configuration.') zy_static_route_name = mib_table_column((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 77, 1, 2, 1, 1), display_string()).setMaxAccess('readwrite') if mibBuilder.loadTexts: zyStaticRouteName.setStatus('current') if mibBuilder.loadTexts: zyStaticRouteName.setDescription('A descriptive name (up to 10 printable ASCII characters) for identification purposes.') zy_static_route_ip_address = mib_table_column((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 77, 1, 2, 1, 2), ip_address()) if mibBuilder.loadTexts: zyStaticRouteIpAddress.setStatus('current') if mibBuilder.loadTexts: zyStaticRouteIpAddress.setDescription('This parameter specifies the IP network address of the final destination. Routing is always based on network number. If you need to specify a route to a single host, use a subnet mask of 255.255.255.255 in the subnet mask field to force the network number to be identical to the host ID.') zy_static_route_subnet_mask = mib_table_column((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 77, 1, 2, 1, 3), ip_address()) if mibBuilder.loadTexts: zyStaticRouteSubnetMask.setStatus('current') if mibBuilder.loadTexts: zyStaticRouteSubnetMask.setDescription('The subnet mask of an IP routing domain that is associated to a static route.') zy_static_route_gateway = mib_table_column((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 77, 1, 2, 1, 4), ip_address()) if mibBuilder.loadTexts: zyStaticRouteGateway.setStatus('current') if mibBuilder.loadTexts: zyStaticRouteGateway.setDescription('The IP address of gateway. The gateway is an immediate neighbor of your Switch that will forward the packet to the destination. The gateway must be a router on the same segment as your Switch. ') zy_static_route_metric = mib_table_column((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 77, 1, 2, 1, 5), integer32()).setMaxAccess('readwrite') if mibBuilder.loadTexts: zyStaticRouteMetric.setStatus('current') if mibBuilder.loadTexts: zyStaticRouteMetric.setDescription('The metric represents the cost of transmission for routing purposes. IP routing uses hop count as the measurement of cost, with a minimum of 1 for directly connected networks. Enter a number that approximates the cost for this link. The number need not be precise, but it must be between 1 and 15. In practice, 2 or 3 is usually a good number.') zy_static_route_row_status = mib_table_column((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 77, 1, 2, 1, 6), row_status()).setMaxAccess('readcreate') if mibBuilder.loadTexts: zyStaticRouteRowStatus.setStatus('current') if mibBuilder.loadTexts: zyStaticRouteRowStatus.setDescription('This object allows entries to be created and deleted from the static route table.') mibBuilder.exportSymbols('ZYXEL-STATIC-ROUTE-MIB', zyStaticRouteRowStatus=zyStaticRouteRowStatus, zyStaticRouteIpAddress=zyStaticRouteIpAddress, zyStaticRouteSubnetMask=zyStaticRouteSubnetMask, zyStaticRouteMetric=zyStaticRouteMetric, zyxelStaticRouteTable=zyxelStaticRouteTable, zyxelStaticRouteSetup=zyxelStaticRouteSetup, zyStaticRouteGateway=zyStaticRouteGateway, zyxelStaticRouteEntry=zyxelStaticRouteEntry, zyxelStaticRoute=zyxelStaticRoute, PYSNMP_MODULE_ID=zyxelStaticRoute, zyStaticRouteMaxNumberOfRoutes=zyStaticRouteMaxNumberOfRoutes, zyStaticRouteName=zyStaticRouteName)
one = input() two = input() one = one.split() two = two.split() print("VALOR A PAGAR: R$ {:.2f}".format((float(one[1]) * float(one[2])) + (float(two[1]) * float(two[2]))))
one = input() two = input() one = one.split() two = two.split() print('VALOR A PAGAR: R$ {:.2f}'.format(float(one[1]) * float(one[2]) + float(two[1]) * float(two[2])))
##Elias Howell | 10/02/2019 | Lab Assignment #4 ## ##Program takes status of buttons and outputs prank configured status of hallway lights ##Algorithm: ## 0)Requests individual button on/off status ## 1)Validates input to ensure input is on or off ## 2)Decides whether or not a hallway light should be on or off according to prank settings ## 3)Prints hallway light output to screen #Initialization of button status B1 = input("Enter the state of B1 (on|off): ") B1 = B1.upper() B2 = input("Enter the state of B2 (on|off): ") B2 = B2.upper() B3 = input("Enter the state of B3 (on|off): ") B3 = B3.upper() B4 = input("Enter the state of B4 (on|off): ") B4 = B4.upper() #Input validation for button status while not ((B1 == "ON" or B1 == "OFF") and (B2 == "ON" or B2 == "OFF") and (B3 == "ON" or B3 == "OFF") and (B4 == "ON" or B4 == "OFF")): print("\nOne of your inputs were invalid. Input must be 'on' or 'off' it isn't case sensetive.\n") B1 = input("Enter the state of B1 (on|off): ") B1 = B1.upper() B2 = input("Enter the state of B2 (on|off): ") B2 = B2.upper() B3 = input("Enter the state of B3 (on|off): ") B3 = B3.upper() B4 = input("Enter the state of B4 (on|off): ") B4 = B4.upper() #Decides whether or not a hallway light is ultimately on or off if (B1 == "ON" and B4 == "OFF") or (B1 == "OFF" and B4 == "ON"): nwStatus = "ON" else: nwStatus = "OFF" if (B2 == "ON" and B3 == "OFF") or (B2 == "OFF" and B3 == "ON"): neStatus = "ON" else: neStatus = "OFF" if (B1 == "ON" and B3 == "OFF") or (B1 == "OFF" and B3 == "ON"): seStatus = "ON" else: seStatus = "OFF" if (B2 == "ON" and B4 == "OFF") or (B2 == "OFF" and B4 == "ON"): swStatus = "ON" else: swStatus = "OFF" #Print light status print("\n\nLight status for NW Hallway:", nwStatus) print("Light status for NE Hallway:", neStatus) print("Light status for SE Hallway:", seStatus) print("Light status for SW Hallway:", swStatus)
b1 = input('Enter the state of B1 (on|off): ') b1 = B1.upper() b2 = input('Enter the state of B2 (on|off): ') b2 = B2.upper() b3 = input('Enter the state of B3 (on|off): ') b3 = B3.upper() b4 = input('Enter the state of B4 (on|off): ') b4 = B4.upper() while not ((B1 == 'ON' or B1 == 'OFF') and (B2 == 'ON' or B2 == 'OFF') and (B3 == 'ON' or B3 == 'OFF') and (B4 == 'ON' or B4 == 'OFF')): print("\nOne of your inputs were invalid. Input must be 'on' or 'off' it isn't case sensetive.\n") b1 = input('Enter the state of B1 (on|off): ') b1 = B1.upper() b2 = input('Enter the state of B2 (on|off): ') b2 = B2.upper() b3 = input('Enter the state of B3 (on|off): ') b3 = B3.upper() b4 = input('Enter the state of B4 (on|off): ') b4 = B4.upper() if B1 == 'ON' and B4 == 'OFF' or (B1 == 'OFF' and B4 == 'ON'): nw_status = 'ON' else: nw_status = 'OFF' if B2 == 'ON' and B3 == 'OFF' or (B2 == 'OFF' and B3 == 'ON'): ne_status = 'ON' else: ne_status = 'OFF' if B1 == 'ON' and B3 == 'OFF' or (B1 == 'OFF' and B3 == 'ON'): se_status = 'ON' else: se_status = 'OFF' if B2 == 'ON' and B4 == 'OFF' or (B2 == 'OFF' and B4 == 'ON'): sw_status = 'ON' else: sw_status = 'OFF' print('\n\nLight status for NW Hallway:', nwStatus) print('Light status for NE Hallway:', neStatus) print('Light status for SE Hallway:', seStatus) print('Light status for SW Hallway:', swStatus)
#-*- coding:utf-8 -*- class Filter(object): def __init__(self, all_seeds, ac, re): self._all = all_seeds self._accept = ac self._reject = re
class Filter(object): def __init__(self, all_seeds, ac, re): self._all = all_seeds self._accept = ac self._reject = re
def test_test(): assert 123 == "123" def test_test_2(): assert [] == "[]"
def test_test(): assert 123 == '123' def test_test_2(): assert [] == '[]'
class FileForm(forms.ModelForm): class Meta: model= File fields= ["name", "filepath"]
class Fileform(forms.ModelForm): class Meta: model = File fields = ['name', 'filepath']
class Solution: def longestStrChain(self, words: List[str]) -> int: words.sort(key=lambda x: len(x)) dp = {} ans = 0 for word in words: dp[word] = 1 for word in words: for i in range(len(word)): split = word[:i] + word[i + 1:] if split in dp: dp[word] = max(dp[word], dp[split] + 1) ans = max(ans, dp[word]) return ans
class Solution: def longest_str_chain(self, words: List[str]) -> int: words.sort(key=lambda x: len(x)) dp = {} ans = 0 for word in words: dp[word] = 1 for word in words: for i in range(len(word)): split = word[:i] + word[i + 1:] if split in dp: dp[word] = max(dp[word], dp[split] + 1) ans = max(ans, dp[word]) return ans
class A(object): def __init__(self, x): self.x = x def __neg__(self): return A(-self.x) def __pos__(self): return A(abs(self.x)) def __invert__(self): return A(~self.x) def __add__(self, other): return A(self.x + other.x) a1 = A(1) a2 = A(2) a3 = A(3) a5 = a1 + a2 + (-a3) + (+A(-4)) + (~a1) # breakpoint
class A(object): def __init__(self, x): self.x = x def __neg__(self): return a(-self.x) def __pos__(self): return a(abs(self.x)) def __invert__(self): return a(~self.x) def __add__(self, other): return a(self.x + other.x) a1 = a(1) a2 = a(2) a3 = a(3) a5 = a1 + a2 + -a3 + +a(-4) + ~a1
# Definition for a binary tree node. # class TreeNode: # def __init__(self, val=0, left=None, right=None): # self.val = val # self.left = left # self.right = right class Solution: def isSameTree(self, p: TreeNode, q: TreeNode) -> bool: stack1 = [p] stack2 = [q] while stack1 and stack2: node1 = stack1.pop() node2 = stack2.pop() if not node1 and not node2: continue if not node1 or not node2: return False if node1.val != node2.val: return False stack1.append(node1.left) stack1.append(node1.right) stack2.append(node2.left) stack2.append(node2.right) return len(stack1) == len(stack2)
class Solution: def is_same_tree(self, p: TreeNode, q: TreeNode) -> bool: stack1 = [p] stack2 = [q] while stack1 and stack2: node1 = stack1.pop() node2 = stack2.pop() if not node1 and (not node2): continue if not node1 or not node2: return False if node1.val != node2.val: return False stack1.append(node1.left) stack1.append(node1.right) stack2.append(node2.left) stack2.append(node2.right) return len(stack1) == len(stack2)
if __name__ == "__main__": print("Preprocessing data")
if __name__ == '__main__': print('Preprocessing data')
power = {'BUSES': {'Area': 1.33155, 'Bus/Area': 1.33155, 'Bus/Gate Leakage': 0.00662954, 'Bus/Peak Dynamic': 0.0, 'Bus/Runtime Dynamic': 0.0, 'Bus/Subthreshold Leakage': 0.0691322, 'Bus/Subthreshold Leakage with power gating': 0.0259246, 'Gate Leakage': 0.00662954, 'Peak Dynamic': 0.0, 'Runtime Dynamic': 0.0, 'Subthreshold Leakage': 0.0691322, 'Subthreshold Leakage with power gating': 0.0259246}, 'Core': [{'Area': 32.6082, 'Execution Unit/Area': 8.2042, 'Execution Unit/Complex ALUs/Area': 0.235435, 'Execution Unit/Complex ALUs/Gate Leakage': 0.0132646, 'Execution Unit/Complex ALUs/Peak Dynamic': 0.252741, 'Execution Unit/Complex ALUs/Runtime Dynamic': 0.401203, 'Execution Unit/Complex ALUs/Subthreshold Leakage': 0.20111, 'Execution Unit/Complex ALUs/Subthreshold Leakage with power gating': 0.0754163, 'Execution Unit/Floating Point Units/Area': 4.6585, 'Execution Unit/Floating Point Units/Gate Leakage': 0.0656156, 'Execution Unit/Floating Point Units/Peak Dynamic': 1.06821, 'Execution Unit/Floating Point Units/Runtime Dynamic': 0.304033, 'Execution Unit/Floating Point Units/Subthreshold Leakage': 0.994829, 'Execution Unit/Floating Point Units/Subthreshold Leakage with power gating': 0.373061, 'Execution Unit/Gate Leakage': 0.122718, 'Execution Unit/Instruction Scheduler/Area': 2.17927, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Area': 0.328073, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Gate Leakage': 0.00115349, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Peak Dynamic': 1.20978, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Runtime Dynamic': 0.726949, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Subthreshold Leakage': 0.017004, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Subthreshold Leakage with power gating': 0.00962066, 'Execution Unit/Instruction Scheduler/Gate Leakage': 0.00730101, 'Execution Unit/Instruction Scheduler/Instruction Window/Area': 1.00996, 'Execution Unit/Instruction Scheduler/Instruction Window/Gate Leakage': 0.00529112, 'Execution Unit/Instruction Scheduler/Instruction Window/Peak Dynamic': 2.07911, 'Execution Unit/Instruction Scheduler/Instruction Window/Runtime Dynamic': 1.25881, 'Execution Unit/Instruction Scheduler/Instruction Window/Subthreshold Leakage': 0.0800117, 'Execution Unit/Instruction Scheduler/Instruction Window/Subthreshold Leakage with power gating': 0.0455351, 'Execution Unit/Instruction Scheduler/Peak Dynamic': 4.84781, 'Execution Unit/Instruction Scheduler/ROB/Area': 0.841232, 'Execution Unit/Instruction Scheduler/ROB/Gate Leakage': 0.000856399, 'Execution Unit/Instruction Scheduler/ROB/Peak Dynamic': 1.55892, 'Execution Unit/Instruction Scheduler/ROB/Runtime Dynamic': 0.721964, 'Execution Unit/Instruction Scheduler/ROB/Subthreshold Leakage': 0.0178624, 'Execution Unit/Instruction Scheduler/ROB/Subthreshold Leakage with power gating': 0.00897339, 'Execution Unit/Instruction Scheduler/Runtime Dynamic': 2.70773, 'Execution Unit/Instruction Scheduler/Subthreshold Leakage': 0.114878, 'Execution Unit/Instruction Scheduler/Subthreshold Leakage with power gating': 0.0641291, 'Execution Unit/Integer ALUs/Area': 0.47087, 'Execution Unit/Integer ALUs/Gate Leakage': 0.0265291, 'Execution Unit/Integer ALUs/Peak Dynamic': 0.554789, 'Execution Unit/Integer ALUs/Runtime Dynamic': 0.101344, 'Execution Unit/Integer ALUs/Subthreshold Leakage': 0.40222, 'Execution Unit/Integer ALUs/Subthreshold Leakage with power gating': 0.150833, 'Execution Unit/Peak Dynamic': 8.08567, 'Execution Unit/Register Files/Area': 0.570804, 'Execution Unit/Register Files/Floating Point RF/Area': 0.208131, 'Execution Unit/Register Files/Floating Point RF/Gate Leakage': 0.000232788, 'Execution Unit/Register Files/Floating Point RF/Peak Dynamic': 0.201807, 'Execution Unit/Register Files/Floating Point RF/Runtime Dynamic': 0.0263525, 'Execution Unit/Register Files/Floating Point RF/Subthreshold Leakage': 0.00399698, 'Execution Unit/Register Files/Floating Point RF/Subthreshold Leakage with power gating': 0.00176968, 'Execution Unit/Register Files/Gate Leakage': 0.000622708, 'Execution Unit/Register Files/Integer RF/Area': 0.362673, 'Execution Unit/Register Files/Integer RF/Gate Leakage': 0.00038992, 'Execution Unit/Register Files/Integer RF/Peak Dynamic': 0.297246, 'Execution Unit/Register Files/Integer RF/Runtime Dynamic': 0.194893, 'Execution Unit/Register Files/Integer RF/Subthreshold Leakage': 0.00614175, 'Execution Unit/Register Files/Integer RF/Subthreshold Leakage with power gating': 0.00246675, 'Execution Unit/Register Files/Peak Dynamic': 0.499054, 'Execution Unit/Register Files/Runtime Dynamic': 0.221245, 'Execution Unit/Register Files/Subthreshold Leakage': 0.0101387, 'Execution Unit/Register Files/Subthreshold Leakage with power gating': 0.00423643, 'Execution Unit/Results Broadcast Bus/Area Overhead': 0.0442632, 'Execution Unit/Results Broadcast Bus/Gate Leakage': 0.00607074, 'Execution Unit/Results Broadcast Bus/Peak Dynamic': 0.78751, 'Execution Unit/Results Broadcast Bus/Runtime Dynamic': 1.76002, 'Execution Unit/Results Broadcast Bus/Subthreshold Leakage': 0.0920413, 'Execution Unit/Results Broadcast Bus/Subthreshold Leakage with power gating': 0.0345155, 'Execution Unit/Runtime Dynamic': 5.49557, 'Execution Unit/Subthreshold Leakage': 1.83518, 'Execution Unit/Subthreshold Leakage with power gating': 0.709678, 'Gate Leakage': 0.372997, 'Instruction Fetch Unit/Area': 5.86007, 'Instruction Fetch Unit/Branch Predictor/Area': 0.138516, 'Instruction Fetch Unit/Branch Predictor/Chooser/Area': 0.0435221, 'Instruction Fetch Unit/Branch Predictor/Chooser/Gate Leakage': 0.000278362, 'Instruction Fetch Unit/Branch Predictor/Chooser/Peak Dynamic': 0.0168831, 'Instruction Fetch Unit/Branch Predictor/Chooser/Runtime Dynamic': 0.00212992, 'Instruction Fetch Unit/Branch Predictor/Chooser/Subthreshold Leakage': 0.00759719, 'Instruction Fetch Unit/Branch Predictor/Chooser/Subthreshold Leakage with power gating': 0.0039236, 'Instruction Fetch Unit/Branch Predictor/Gate Leakage': 0.000757657, 'Instruction Fetch Unit/Branch Predictor/Global Predictor/Area': 0.0435221, 'Instruction Fetch Unit/Branch Predictor/Global Predictor/Gate Leakage': 0.000278362, 'Instruction Fetch Unit/Branch Predictor/Global Predictor/Peak Dynamic': 0.0168831, 'Instruction Fetch Unit/Branch Predictor/Global Predictor/Runtime Dynamic': 0.00212992, 'Instruction Fetch Unit/Branch Predictor/Global Predictor/Subthreshold Leakage': 0.00759719, 'Instruction Fetch Unit/Branch Predictor/Global Predictor/Subthreshold Leakage with power gating': 0.0039236, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Area': 0.0257064, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Gate Leakage': 0.000154548, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Peak Dynamic': 0.0142575, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Runtime Dynamic': 0.00186263, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Subthreshold Leakage': 0.00384344, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Subthreshold Leakage with power gating': 0.00198631, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Area': 0.0151917, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Gate Leakage': 8.00196e-05, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Peak Dynamic': 0.00527447, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Runtime Dynamic': 0.000725147, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Subthreshold Leakage': 0.00181347, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Subthreshold Leakage with power gating': 0.000957045, 'Instruction Fetch Unit/Branch Predictor/Peak Dynamic': 0.0597838, 'Instruction Fetch Unit/Branch Predictor/RAS/Area': 0.0105732, 'Instruction Fetch Unit/Branch Predictor/RAS/Gate Leakage': 4.63858e-05, 'Instruction Fetch Unit/Branch Predictor/RAS/Peak Dynamic': 0.0117602, 'Instruction Fetch Unit/Branch Predictor/RAS/Runtime Dynamic': 0.00279965, 'Instruction Fetch Unit/Branch Predictor/RAS/Subthreshold Leakage': 0.000932505, 'Instruction Fetch Unit/Branch Predictor/RAS/Subthreshold Leakage with power gating': 0.000494733, 'Instruction Fetch Unit/Branch Predictor/Runtime Dynamic': 0.00892212, 'Instruction Fetch Unit/Branch Predictor/Subthreshold Leakage': 0.0199703, 'Instruction Fetch Unit/Branch Predictor/Subthreshold Leakage with power gating': 0.0103282, 'Instruction Fetch Unit/Branch Target Buffer/Area': 0.64954, 'Instruction Fetch Unit/Branch Target Buffer/Gate Leakage': 0.00272758, 'Instruction Fetch Unit/Branch Target Buffer/Peak Dynamic': 0.177867, 'Instruction Fetch Unit/Branch Target Buffer/Runtime Dynamic': 0.0201542, 'Instruction Fetch Unit/Branch Target Buffer/Subthreshold Leakage': 0.0811682, 'Instruction Fetch Unit/Branch Target Buffer/Subthreshold Leakage with power gating': 0.0435357, 'Instruction Fetch Unit/Gate Leakage': 0.0590479, 'Instruction Fetch Unit/Instruction Buffer/Area': 0.0226323, 'Instruction Fetch Unit/Instruction Buffer/Gate Leakage': 6.83558e-05, 'Instruction Fetch Unit/Instruction Buffer/Peak Dynamic': 0.606827, 'Instruction Fetch Unit/Instruction Buffer/Runtime Dynamic': 0.187355, 'Instruction Fetch Unit/Instruction Buffer/Subthreshold Leakage': 0.00151885, 'Instruction Fetch Unit/Instruction Buffer/Subthreshold Leakage with power gating': 0.000701682, 'Instruction Fetch Unit/Instruction Cache/Area': 3.14635, 'Instruction Fetch Unit/Instruction Cache/Gate Leakage': 0.029931, 'Instruction Fetch Unit/Instruction Cache/Peak Dynamic': 6.43323, 'Instruction Fetch Unit/Instruction Cache/Runtime Dynamic': 0.460187, 'Instruction Fetch Unit/Instruction Cache/Subthreshold Leakage': 0.367022, 'Instruction Fetch Unit/Instruction Cache/Subthreshold Leakage with power gating': 0.180386, 'Instruction Fetch Unit/Instruction Decoder/Area': 1.85799, 'Instruction Fetch Unit/Instruction Decoder/Gate Leakage': 0.0222493, 'Instruction Fetch Unit/Instruction Decoder/Peak Dynamic': 1.37404, 'Instruction Fetch Unit/Instruction Decoder/Runtime Dynamic': 0.636343, 'Instruction Fetch Unit/Instruction Decoder/Subthreshold Leakage': 0.442943, 'Instruction Fetch Unit/Instruction Decoder/Subthreshold Leakage with power gating': 0.166104, 'Instruction Fetch Unit/Peak Dynamic': 8.96874, 'Instruction Fetch Unit/Runtime Dynamic': 1.31296, 'Instruction Fetch Unit/Subthreshold Leakage': 0.932587, 'Instruction Fetch Unit/Subthreshold Leakage with power gating': 0.408542, 'L2/Area': 4.53318, 'L2/Gate Leakage': 0.015464, 'L2/Peak Dynamic': 0.0239757, 'L2/Runtime Dynamic': 0.00602306, 'L2/Subthreshold Leakage': 0.834142, 'L2/Subthreshold Leakage with power gating': 0.401066, 'Load Store Unit/Area': 8.80969, 'Load Store Unit/Data Cache/Area': 6.84535, 'Load Store Unit/Data Cache/Gate Leakage': 0.0279261, 'Load Store Unit/Data Cache/Peak Dynamic': 6.71927, 'Load Store Unit/Data Cache/Runtime Dynamic': 2.64227, 'Load Store Unit/Data Cache/Subthreshold Leakage': 0.527675, 'Load Store Unit/Data Cache/Subthreshold Leakage with power gating': 0.25085, 'Load Store Unit/Gate Leakage': 0.0351387, 'Load Store Unit/LoadQ/Area': 0.0836782, 'Load Store Unit/LoadQ/Gate Leakage': 0.00059896, 'Load Store Unit/LoadQ/Peak Dynamic': 0.177361, 'Load Store Unit/LoadQ/Runtime Dynamic': 0.177361, 'Load Store Unit/LoadQ/Subthreshold Leakage': 0.00941961, 'Load Store Unit/LoadQ/Subthreshold Leakage with power gating': 0.00536918, 'Load Store Unit/Peak Dynamic': 7.56022, 'Load Store Unit/Runtime Dynamic': 3.69432, 'Load Store Unit/StoreQ/Area': 0.322079, 'Load Store Unit/StoreQ/Gate Leakage': 0.00329971, 'Load Store Unit/StoreQ/Peak Dynamic': 0.437341, 'Load Store Unit/StoreQ/Runtime Dynamic': 0.874683, 'Load Store Unit/StoreQ/Subthreshold Leakage': 0.0345621, 'Load Store Unit/StoreQ/Subthreshold Leakage with power gating': 0.0197004, 'Load Store Unit/Subthreshold Leakage': 0.591622, 'Load Store Unit/Subthreshold Leakage with power gating': 0.283406, 'Memory Management Unit/Area': 0.434579, 'Memory Management Unit/Dtlb/Area': 0.0879726, 'Memory Management Unit/Dtlb/Gate Leakage': 0.00088729, 'Memory Management Unit/Dtlb/Peak Dynamic': 0.155214, 'Memory Management Unit/Dtlb/Runtime Dynamic': 0.155485, 'Memory Management Unit/Dtlb/Subthreshold Leakage': 0.0155699, 'Memory Management Unit/Dtlb/Subthreshold Leakage with power gating': 0.00887485, 'Memory Management Unit/Gate Leakage': 0.00813591, 'Memory Management Unit/Itlb/Area': 0.301552, 'Memory Management Unit/Itlb/Gate Leakage': 0.00393464, 'Memory Management Unit/Itlb/Peak Dynamic': 0.399995, 'Memory Management Unit/Itlb/Runtime Dynamic': 0.0757047, 'Memory Management Unit/Itlb/Subthreshold Leakage': 0.0413758, 'Memory Management Unit/Itlb/Subthreshold Leakage with power gating': 0.0235842, 'Memory Management Unit/Peak Dynamic': 0.826828, 'Memory Management Unit/Runtime Dynamic': 0.231189, 'Memory Management Unit/Subthreshold Leakage': 0.0769113, 'Memory Management Unit/Subthreshold Leakage with power gating': 0.0399462, 'Peak Dynamic': 30.0271, 'Renaming Unit/Area': 0.369768, 'Renaming Unit/FP Front End RAT/Area': 0.168486, 'Renaming Unit/FP Front End RAT/Gate Leakage': 0.00489731, 'Renaming Unit/FP Front End RAT/Peak Dynamic': 3.33511, 'Renaming Unit/FP Front End RAT/Runtime Dynamic': 0.704059, 'Renaming Unit/FP Front End RAT/Subthreshold Leakage': 0.0437281, 'Renaming Unit/FP Front End RAT/Subthreshold Leakage with power gating': 0.024925, 'Renaming Unit/Free List/Area': 0.0414755, 'Renaming Unit/Free List/Gate Leakage': 4.15911e-05, 'Renaming Unit/Free List/Peak Dynamic': 0.0401324, 'Renaming Unit/Free List/Runtime Dynamic': 0.0456443, 'Renaming Unit/Free List/Subthreshold Leakage': 0.000670426, 'Renaming Unit/Free List/Subthreshold Leakage with power gating': 0.000377987, 'Renaming Unit/Gate Leakage': 0.00863632, 'Renaming Unit/Int Front End RAT/Area': 0.114751, 'Renaming Unit/Int Front End RAT/Gate Leakage': 0.00038343, 'Renaming Unit/Int Front End RAT/Peak Dynamic': 0.86945, 'Renaming Unit/Int Front End RAT/Runtime Dynamic': 0.370308, 'Renaming Unit/Int Front End RAT/Subthreshold Leakage': 0.00611897, 'Renaming Unit/Int Front End RAT/Subthreshold Leakage with power gating': 0.00348781, 'Renaming Unit/Peak Dynamic': 4.56169, 'Renaming Unit/Runtime Dynamic': 1.12001, 'Renaming Unit/Subthreshold Leakage': 0.070483, 'Renaming Unit/Subthreshold Leakage with power gating': 0.0362779, 'Runtime Dynamic': 11.8601, 'Subthreshold Leakage': 6.21877, 'Subthreshold Leakage with power gating': 2.58311}, {'Area': 32.0201, 'Execution Unit/Area': 7.68434, 'Execution Unit/Complex ALUs/Area': 0.235435, 'Execution Unit/Complex ALUs/Gate Leakage': 0.0132646, 'Execution Unit/Complex ALUs/Peak Dynamic': 9.4469e-07, 'Execution Unit/Complex ALUs/Runtime Dynamic': 0.20269, 'Execution Unit/Complex ALUs/Subthreshold Leakage': 0.20111, 'Execution Unit/Complex ALUs/Subthreshold Leakage with power gating': 0.0754163, 'Execution Unit/Floating Point Units/Area': 4.6585, 'Execution Unit/Floating Point Units/Gate Leakage': 0.0656156, 'Execution Unit/Floating Point Units/Peak Dynamic': 7.59011e-06, 'Execution Unit/Floating Point Units/Runtime Dynamic': 0.304033, 'Execution Unit/Floating Point Units/Subthreshold Leakage': 0.994829, 'Execution Unit/Floating Point Units/Subthreshold Leakage with power gating': 0.373061, 'Execution Unit/Gate Leakage': 0.120359, 'Execution Unit/Instruction Scheduler/Area': 1.66526, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Area': 0.275653, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Gate Leakage': 0.000977433, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Peak Dynamic': 1.04181, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Runtime Dynamic': 0.194469, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Subthreshold Leakage': 0.0143453, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Subthreshold Leakage with power gating': 0.00810519, 'Execution Unit/Instruction Scheduler/Gate Leakage': 0.00568913, 'Execution Unit/Instruction Scheduler/Instruction Window/Area': 0.805223, 'Execution Unit/Instruction Scheduler/Instruction Window/Gate Leakage': 0.00414562, 'Execution Unit/Instruction Scheduler/Instruction Window/Peak Dynamic': 1.6763, 'Execution Unit/Instruction Scheduler/Instruction Window/Runtime Dynamic': 0.313671, 'Execution Unit/Instruction Scheduler/Instruction Window/Subthreshold Leakage': 0.0625755, 'Execution Unit/Instruction Scheduler/Instruction Window/Subthreshold Leakage with power gating': 0.0355964, 'Execution Unit/Instruction Scheduler/Peak Dynamic': 3.82262, 'Execution Unit/Instruction Scheduler/ROB/Area': 0.584388, 'Execution Unit/Instruction Scheduler/ROB/Gate Leakage': 0.00056608, 'Execution Unit/Instruction Scheduler/ROB/Peak Dynamic': 1.10451, 'Execution Unit/Instruction Scheduler/ROB/Runtime Dynamic': 0.158331, 'Execution Unit/Instruction Scheduler/ROB/Subthreshold Leakage': 0.00906853, 'Execution Unit/Instruction Scheduler/ROB/Subthreshold Leakage with power gating': 0.00364446, 'Execution Unit/Instruction Scheduler/Runtime Dynamic': 0.66647, 'Execution Unit/Instruction Scheduler/Subthreshold Leakage': 0.0859892, 'Execution Unit/Instruction Scheduler/Subthreshold Leakage with power gating': 0.047346, 'Execution Unit/Integer ALUs/Area': 0.47087, 'Execution Unit/Integer ALUs/Gate Leakage': 0.0265291, 'Execution Unit/Integer ALUs/Peak Dynamic': 0.222415, 'Execution Unit/Integer ALUs/Runtime Dynamic': 0.101344, 'Execution Unit/Integer ALUs/Subthreshold Leakage': 0.40222, 'Execution Unit/Integer ALUs/Subthreshold Leakage with power gating': 0.150833, 'Execution Unit/Peak Dynamic': 4.25813, 'Execution Unit/Register Files/Area': 0.570804, 'Execution Unit/Register Files/Floating Point RF/Area': 0.208131, 'Execution Unit/Register Files/Floating Point RF/Gate Leakage': 0.000232788, 'Execution Unit/Register Files/Floating Point RF/Peak Dynamic': 1.43393e-06, 'Execution Unit/Register Files/Floating Point RF/Runtime Dynamic': 0.00815689, 'Execution Unit/Register Files/Floating Point RF/Subthreshold Leakage': 0.00399698, 'Execution Unit/Register Files/Floating Point RF/Subthreshold Leakage with power gating': 0.00176968, 'Execution Unit/Register Files/Gate Leakage': 0.000622708, 'Execution Unit/Register Files/Integer RF/Area': 0.362673, 'Execution Unit/Register Files/Integer RF/Gate Leakage': 0.00038992, 'Execution Unit/Register Files/Integer RF/Peak Dynamic': 0.058985, 'Execution Unit/Register Files/Integer RF/Runtime Dynamic': 0.0603252, 'Execution Unit/Register Files/Integer RF/Subthreshold Leakage': 0.00614175, 'Execution Unit/Register Files/Integer RF/Subthreshold Leakage with power gating': 0.00246675, 'Execution Unit/Register Files/Peak Dynamic': 0.0589865, 'Execution Unit/Register Files/Runtime Dynamic': 0.0684821, 'Execution Unit/Register Files/Subthreshold Leakage': 0.0101387, 'Execution Unit/Register Files/Subthreshold Leakage with power gating': 0.00423643, 'Execution Unit/Results Broadcast Bus/Area Overhead': 0.0390912, 'Execution Unit/Results Broadcast Bus/Gate Leakage': 0.00537402, 'Execution Unit/Results Broadcast Bus/Peak Dynamic': 0.124265, 'Execution Unit/Results Broadcast Bus/Runtime Dynamic': 0.326404, 'Execution Unit/Results Broadcast Bus/Subthreshold Leakage': 0.081478, 'Execution Unit/Results Broadcast Bus/Subthreshold Leakage with power gating': 0.0305543, 'Execution Unit/Runtime Dynamic': 1.66942, 'Execution Unit/Subthreshold Leakage': 1.79543, 'Execution Unit/Subthreshold Leakage with power gating': 0.688821, 'Gate Leakage': 0.368936, 'Instruction Fetch Unit/Area': 5.85939, 'Instruction Fetch Unit/Branch Predictor/Area': 0.138516, 'Instruction Fetch Unit/Branch Predictor/Chooser/Area': 0.0435221, 'Instruction Fetch Unit/Branch Predictor/Chooser/Gate Leakage': 0.000278362, 'Instruction Fetch Unit/Branch Predictor/Chooser/Peak Dynamic': 0.0168831, 'Instruction Fetch Unit/Branch Predictor/Chooser/Runtime Dynamic': 0.00249135, 'Instruction Fetch Unit/Branch Predictor/Chooser/Subthreshold Leakage': 0.00759719, 'Instruction Fetch Unit/Branch Predictor/Chooser/Subthreshold Leakage with power gating': 0.0039236, 'Instruction Fetch Unit/Branch Predictor/Gate Leakage': 0.000757657, 'Instruction Fetch Unit/Branch Predictor/Global Predictor/Area': 0.0435221, 'Instruction Fetch Unit/Branch Predictor/Global Predictor/Gate Leakage': 0.000278362, 'Instruction Fetch Unit/Branch Predictor/Global Predictor/Peak Dynamic': 0.0168831, 'Instruction Fetch Unit/Branch Predictor/Global Predictor/Runtime Dynamic': 0.00249135, 'Instruction Fetch Unit/Branch Predictor/Global Predictor/Subthreshold Leakage': 0.00759719, 'Instruction Fetch Unit/Branch Predictor/Global Predictor/Subthreshold Leakage with power gating': 0.0039236, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Area': 0.0257064, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Gate Leakage': 0.000154548, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Peak Dynamic': 0.0142575, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Runtime Dynamic': 0.00223246, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Subthreshold Leakage': 0.00384344, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Subthreshold Leakage with power gating': 0.00198631, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Area': 0.0151917, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Gate Leakage': 8.00196e-05, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Peak Dynamic': 0.00527447, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Runtime Dynamic': 0.000898408, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Subthreshold Leakage': 0.00181347, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Subthreshold Leakage with power gating': 0.000957045, 'Instruction Fetch Unit/Branch Predictor/Peak Dynamic': 0.0597838, 'Instruction Fetch Unit/Branch Predictor/RAS/Area': 0.0105732, 'Instruction Fetch Unit/Branch Predictor/RAS/Gate Leakage': 4.63858e-05, 'Instruction Fetch Unit/Branch Predictor/RAS/Peak Dynamic': 0.0117602, 'Instruction Fetch Unit/Branch Predictor/RAS/Runtime Dynamic': 0.000866577, 'Instruction Fetch Unit/Branch Predictor/RAS/Subthreshold Leakage': 0.000932505, 'Instruction Fetch Unit/Branch Predictor/RAS/Subthreshold Leakage with power gating': 0.000494733, 'Instruction Fetch Unit/Branch Predictor/Runtime Dynamic': 0.00808174, 'Instruction Fetch Unit/Branch Predictor/Subthreshold Leakage': 0.0199703, 'Instruction Fetch Unit/Branch Predictor/Subthreshold Leakage with power gating': 0.0103282, 'Instruction Fetch Unit/Branch Target Buffer/Area': 0.64954, 'Instruction Fetch Unit/Branch Target Buffer/Gate Leakage': 0.00272758, 'Instruction Fetch Unit/Branch Target Buffer/Peak Dynamic': 0.177867, 'Instruction Fetch Unit/Branch Target Buffer/Runtime Dynamic': 0.0216537, 'Instruction Fetch Unit/Branch Target Buffer/Subthreshold Leakage': 0.0811682, 'Instruction Fetch Unit/Branch Target Buffer/Subthreshold Leakage with power gating': 0.0435357, 'Instruction Fetch Unit/Gate Leakage': 0.0589979, 'Instruction Fetch Unit/Instruction Buffer/Area': 0.0226323, 'Instruction Fetch Unit/Instruction Buffer/Gate Leakage': 6.83558e-05, 'Instruction Fetch Unit/Instruction Buffer/Peak Dynamic': 0.606827, 'Instruction Fetch Unit/Instruction Buffer/Runtime Dynamic': 0.0579922, 'Instruction Fetch Unit/Instruction Buffer/Subthreshold Leakage': 0.00151885, 'Instruction Fetch Unit/Instruction Buffer/Subthreshold Leakage with power gating': 0.000701682, 'Instruction Fetch Unit/Instruction Cache/Area': 3.14635, 'Instruction Fetch Unit/Instruction Cache/Gate Leakage': 0.029931, 'Instruction Fetch Unit/Instruction Cache/Peak Dynamic': 3.6888, 'Instruction Fetch Unit/Instruction Cache/Runtime Dynamic': 0.229628, 'Instruction Fetch Unit/Instruction Cache/Subthreshold Leakage': 0.367022, 'Instruction Fetch Unit/Instruction Cache/Subthreshold Leakage with power gating': 0.180386, 'Instruction Fetch Unit/Instruction Decoder/Area': 1.85799, 'Instruction Fetch Unit/Instruction Decoder/Gate Leakage': 0.0222493, 'Instruction Fetch Unit/Instruction Decoder/Peak Dynamic': 1.37404, 'Instruction Fetch Unit/Instruction Decoder/Runtime Dynamic': 0.196968, 'Instruction Fetch Unit/Instruction Decoder/Subthreshold Leakage': 0.442943, 'Instruction Fetch Unit/Instruction Decoder/Subthreshold Leakage with power gating': 0.166104, 'Instruction Fetch Unit/Peak Dynamic': 6.08634, 'Instruction Fetch Unit/Runtime Dynamic': 0.514323, 'Instruction Fetch Unit/Subthreshold Leakage': 0.932286, 'Instruction Fetch Unit/Subthreshold Leakage with power gating': 0.40843, 'L2/Area': 4.53318, 'L2/Gate Leakage': 0.015464, 'L2/Peak Dynamic': 0.0297368, 'L2/Runtime Dynamic': 0.00581389, 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'Memory Management Unit/Gate Leakage': 0.00808595, 'Memory Management Unit/Itlb/Area': 0.301552, 'Memory Management Unit/Itlb/Gate Leakage': 0.00393464, 'Memory Management Unit/Itlb/Peak Dynamic': 0.295206, 'Memory Management Unit/Itlb/Runtime Dynamic': 0.0406684, 'Memory Management Unit/Itlb/Subthreshold Leakage': 0.0413758, 'Memory Management Unit/Itlb/Subthreshold Leakage with power gating': 0.0235842, 'Memory Management Unit/Peak Dynamic': 0.57339, 'Memory Management Unit/Runtime Dynamic': 0.112577, 'Memory Management Unit/Subthreshold Leakage': 0.0766103, 'Memory Management Unit/Subthreshold Leakage with power gating': 0.0398333, 'Peak Dynamic': 19.9299, 'Renaming Unit/Area': 0.303608, 'Renaming Unit/FP Front End RAT/Area': 0.131045, 'Renaming Unit/FP Front End RAT/Gate Leakage': 0.00351123, 'Renaming Unit/FP Front End RAT/Peak Dynamic': 2.51468, 'Renaming Unit/FP Front End RAT/Runtime Dynamic': 0.0, 'Renaming Unit/FP Front End RAT/Subthreshold Leakage': 0.0308571, 'Renaming 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Leakage': 0.0265291, 'Execution Unit/Integer ALUs/Peak Dynamic': 0.185925, 'Execution Unit/Integer ALUs/Runtime Dynamic': 0.101344, 'Execution Unit/Integer ALUs/Subthreshold Leakage': 0.40222, 'Execution Unit/Integer ALUs/Subthreshold Leakage with power gating': 0.150833, 'Execution Unit/Peak Dynamic': 6.49299, 'Execution Unit/Register Files/Area': 0.570804, 'Execution Unit/Register Files/Floating Point RF/Area': 0.208131, 'Execution Unit/Register Files/Floating Point RF/Gate Leakage': 0.000232788, 'Execution Unit/Register Files/Floating Point RF/Peak Dynamic': 0.247228, 'Execution Unit/Register Files/Floating Point RF/Runtime Dynamic': 0.0141766, 'Execution Unit/Register Files/Floating Point RF/Subthreshold Leakage': 0.00399698, 'Execution Unit/Register Files/Floating Point RF/Subthreshold Leakage with power gating': 0.00176968, 'Execution Unit/Register Files/Gate Leakage': 0.000622708, 'Execution Unit/Register Files/Integer RF/Area': 0.362673, 'Execution Unit/Register Files/Integer RF/Gate Leakage': 0.00038992, 'Execution Unit/Register Files/Integer RF/Peak Dynamic': 0.193313, 'Execution Unit/Register Files/Integer RF/Runtime Dynamic': 0.104844, 'Execution Unit/Register Files/Integer RF/Subthreshold Leakage': 0.00614175, 'Execution Unit/Register Files/Integer RF/Subthreshold Leakage with power gating': 0.00246675, 'Execution Unit/Register Files/Peak Dynamic': 0.440541, 'Execution Unit/Register Files/Runtime Dynamic': 0.119021, 'Execution Unit/Register Files/Subthreshold Leakage': 0.0101387, 'Execution Unit/Register Files/Subthreshold Leakage with power gating': 0.00423643, 'Execution Unit/Results Broadcast Bus/Area Overhead': 0.0390912, 'Execution Unit/Results Broadcast Bus/Gate Leakage': 0.00537402, 'Execution Unit/Results Broadcast Bus/Peak Dynamic': 0.467883, 'Execution Unit/Results Broadcast Bus/Runtime Dynamic': 0.913945, 'Execution Unit/Results Broadcast Bus/Subthreshold Leakage': 0.081478, 'Execution Unit/Results Broadcast Bus/Subthreshold Leakage with power gating': 0.0305543, 'Execution Unit/Runtime Dynamic': 2.98978, 'Execution Unit/Subthreshold Leakage': 1.79543, 'Execution Unit/Subthreshold Leakage with power gating': 0.688821, 'Gate Leakage': 0.368936, 'Instruction Fetch Unit/Area': 5.85939, 'Instruction Fetch Unit/Branch Predictor/Area': 0.138516, 'Instruction Fetch Unit/Branch Predictor/Chooser/Area': 0.0435221, 'Instruction Fetch Unit/Branch Predictor/Chooser/Gate Leakage': 0.000278362, 'Instruction Fetch Unit/Branch Predictor/Chooser/Peak Dynamic': 0.0168831, 'Instruction Fetch Unit/Branch Predictor/Chooser/Runtime Dynamic': 0.000795581, 'Instruction Fetch Unit/Branch Predictor/Chooser/Subthreshold Leakage': 0.00759719, 'Instruction Fetch Unit/Branch Predictor/Chooser/Subthreshold Leakage with power gating': 0.0039236, 'Instruction Fetch Unit/Branch Predictor/Gate Leakage': 0.000757657, 'Instruction Fetch Unit/Branch Predictor/Global Predictor/Area': 0.0435221, 'Instruction Fetch Unit/Branch Predictor/Global Predictor/Gate Leakage': 0.000278362, 'Instruction Fetch Unit/Branch Predictor/Global Predictor/Peak Dynamic': 0.0168831, 'Instruction Fetch Unit/Branch Predictor/Global Predictor/Runtime Dynamic': 0.000795581, 'Instruction Fetch Unit/Branch Predictor/Global Predictor/Subthreshold Leakage': 0.00759719, 'Instruction Fetch Unit/Branch Predictor/Global Predictor/Subthreshold Leakage with power gating': 0.0039236, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Area': 0.0257064, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Gate Leakage': 0.000154548, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Peak Dynamic': 0.0142575, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Runtime Dynamic': 0.0006916, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Subthreshold Leakage': 0.00384344, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Subthreshold Leakage with power gating': 0.00198631, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Area': 0.0151917, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Gate Leakage': 8.00196e-05, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Peak Dynamic': 0.00527447, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Runtime Dynamic': 0.000266991, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Subthreshold Leakage': 0.00181347, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Subthreshold Leakage with power gating': 0.000957045, 'Instruction Fetch Unit/Branch Predictor/Peak Dynamic': 0.0597838, 'Instruction Fetch Unit/Branch Predictor/RAS/Area': 0.0105732, 'Instruction Fetch Unit/Branch Predictor/RAS/Gate Leakage': 4.63858e-05, 'Instruction Fetch Unit/Branch Predictor/RAS/Peak Dynamic': 0.0117602, 'Instruction Fetch Unit/Branch Predictor/RAS/Runtime Dynamic': 0.0015061, 'Instruction Fetch Unit/Branch Predictor/RAS/Subthreshold Leakage': 0.000932505, 'Instruction Fetch Unit/Branch Predictor/RAS/Subthreshold Leakage with power gating': 0.000494733, 'Instruction Fetch Unit/Branch Predictor/Runtime Dynamic': 0.00378886, 'Instruction Fetch Unit/Branch Predictor/Subthreshold Leakage': 0.0199703, 'Instruction Fetch Unit/Branch Predictor/Subthreshold Leakage with power gating': 0.0103282, 'Instruction Fetch Unit/Branch Target Buffer/Area': 0.64954, 'Instruction Fetch Unit/Branch Target Buffer/Gate Leakage': 0.00272758, 'Instruction Fetch Unit/Branch Target Buffer/Peak Dynamic': 0.177867, 'Instruction Fetch Unit/Branch Target Buffer/Runtime Dynamic': 0.00767621, 'Instruction Fetch Unit/Branch Target Buffer/Subthreshold Leakage': 0.0811682, 'Instruction Fetch Unit/Branch Target Buffer/Subthreshold Leakage with power gating': 0.0435357, 'Instruction Fetch Unit/Gate Leakage': 0.0589979, 'Instruction Fetch Unit/Instruction Buffer/Area': 0.0226323, 'Instruction Fetch Unit/Instruction Buffer/Gate Leakage': 6.83558e-05, 'Instruction Fetch Unit/Instruction Buffer/Peak Dynamic': 0.606827, 'Instruction Fetch Unit/Instruction Buffer/Runtime Dynamic': 0.10079, 'Instruction Fetch Unit/Instruction Buffer/Subthreshold Leakage': 0.00151885, 'Instruction Fetch Unit/Instruction Buffer/Subthreshold Leakage with power gating': 0.000701682, 'Instruction Fetch Unit/Instruction Cache/Area': 3.14635, 'Instruction Fetch Unit/Instruction Cache/Gate Leakage': 0.029931, 'Instruction Fetch Unit/Instruction Cache/Peak Dynamic': 6.41109, 'Instruction Fetch Unit/Instruction Cache/Runtime Dynamic': 0.248962, 'Instruction Fetch Unit/Instruction Cache/Subthreshold Leakage': 0.367022, 'Instruction Fetch Unit/Instruction Cache/Subthreshold Leakage with power gating': 0.180386, 'Instruction Fetch Unit/Instruction Decoder/Area': 1.85799, 'Instruction Fetch Unit/Instruction Decoder/Gate Leakage': 0.0222493, 'Instruction Fetch Unit/Instruction Decoder/Peak Dynamic': 1.37404, 'Instruction Fetch Unit/Instruction Decoder/Runtime Dynamic': 0.342327, 'Instruction Fetch Unit/Instruction Decoder/Subthreshold Leakage': 0.442943, 'Instruction Fetch Unit/Instruction Decoder/Subthreshold Leakage with power gating': 0.166104, 'Instruction Fetch Unit/Peak Dynamic': 8.94075, 'Instruction Fetch Unit/Runtime Dynamic': 0.703544, 'Instruction Fetch Unit/Subthreshold Leakage': 0.932286, 'Instruction Fetch Unit/Subthreshold Leakage with power gating': 0.40843, 'L2/Area': 4.53318, 'L2/Gate Leakage': 0.015464, 'L2/Peak Dynamic': 0.0657792, 'L2/Runtime Dynamic': 0.00413921, 'L2/Subthreshold Leakage': 0.834142, 'L2/Subthreshold Leakage with power gating': 0.401066, 'Load Store Unit/Area': 8.80901, 'Load Store Unit/Data Cache/Area': 6.84535, 'Load Store Unit/Data Cache/Gate Leakage': 0.0279261, 'Load Store Unit/Data Cache/Peak Dynamic': 2.98015, 'Load Store Unit/Data Cache/Runtime Dynamic': 0.839273, 'Load Store Unit/Data Cache/Subthreshold Leakage': 0.527675, 'Load Store Unit/Data Cache/Subthreshold Leakage with power gating': 0.25085, 'Load Store Unit/Gate Leakage': 0.0350888, 'Load Store Unit/LoadQ/Area': 0.0836782, 'Load Store Unit/LoadQ/Gate Leakage': 0.00059896, 'Load Store Unit/LoadQ/Peak Dynamic': 0.0563913, 'Load Store Unit/LoadQ/Runtime Dynamic': 0.0563912, 'Load Store Unit/LoadQ/Subthreshold Leakage': 0.00941961, 'Load Store Unit/LoadQ/Subthreshold Leakage with power gating': 0.00536918, 'Load Store Unit/Peak Dynamic': 3.24645, 'Load Store Unit/Runtime Dynamic': 1.17377, 'Load Store Unit/StoreQ/Area': 0.322079, 'Load Store Unit/StoreQ/Gate Leakage': 0.00329971, 'Load Store Unit/StoreQ/Peak Dynamic': 0.139051, 'Load Store Unit/StoreQ/Runtime Dynamic': 0.278102, 'Load Store Unit/StoreQ/Subthreshold Leakage': 0.0345621, 'Load Store Unit/StoreQ/Subthreshold Leakage with power gating': 0.0197004, 'Load Store Unit/Subthreshold Leakage': 0.591321, 'Load Store Unit/Subthreshold Leakage with power gating': 0.283293, 'Memory Management Unit/Area': 0.4339, 'Memory Management Unit/Dtlb/Area': 0.0879726, 'Memory Management Unit/Dtlb/Gate Leakage': 0.00088729, 'Memory Management Unit/Dtlb/Peak Dynamic': 0.0493498, 'Memory Management Unit/Dtlb/Runtime Dynamic': 0.0503302, 'Memory Management Unit/Dtlb/Subthreshold Leakage': 0.0155699, 'Memory Management Unit/Dtlb/Subthreshold Leakage with power gating': 0.00887485, 'Memory Management Unit/Gate Leakage': 0.00808595, 'Memory Management Unit/Itlb/Area': 0.301552, 'Memory Management Unit/Itlb/Gate Leakage': 0.00393464, 'Memory Management Unit/Itlb/Peak Dynamic': 0.398618, 'Memory Management Unit/Itlb/Runtime Dynamic': 0.0408354, 'Memory Management Unit/Itlb/Subthreshold Leakage': 0.0413758, 'Memory Management Unit/Itlb/Subthreshold Leakage with power gating': 0.0235842, 'Memory Management Unit/Peak Dynamic': 0.639501, 'Memory Management Unit/Runtime Dynamic': 0.0911656, 'Memory Management Unit/Subthreshold Leakage': 0.0766103, 'Memory Management Unit/Subthreshold Leakage with power gating': 0.0398333, 'Peak Dynamic': 22.9749, 'Renaming Unit/Area': 0.303608, 'Renaming Unit/FP Front End RAT/Area': 0.131045, 'Renaming Unit/FP Front End RAT/Gate Leakage': 0.00351123, 'Renaming Unit/FP Front End RAT/Peak Dynamic': 2.51468, 'Renaming Unit/FP Front End RAT/Runtime Dynamic': 0.650344, 'Renaming Unit/FP Front End RAT/Subthreshold Leakage': 0.0308571, 'Renaming Unit/FP Front End RAT/Subthreshold Leakage with power gating': 0.0175885, 'Renaming Unit/Free List/Area': 0.0340654, 'Renaming Unit/Free List/Gate Leakage': 2.5481e-05, 'Renaming Unit/Free List/Peak Dynamic': 0.0306032, 'Renaming Unit/Free List/Runtime Dynamic': 0.0231635, 'Renaming Unit/Free List/Subthreshold Leakage': 0.000370144, 'Renaming Unit/Free List/Subthreshold Leakage with power gating': 0.000201064, 'Renaming Unit/Gate Leakage': 0.00708398, 'Renaming Unit/Int Front End RAT/Area': 0.0941223, 'Renaming Unit/Int Front End RAT/Gate Leakage': 0.000283242, 'Renaming Unit/Int Front End RAT/Peak Dynamic': 0.731965, 'Renaming Unit/Int Front End RAT/Runtime Dynamic': 0.156297, 'Renaming Unit/Int Front End RAT/Subthreshold Leakage': 0.00435488, 'Renaming Unit/Int Front End RAT/Subthreshold Leakage with power gating': 0.00248228, 'Renaming Unit/Peak Dynamic': 3.58947, 'Renaming Unit/Runtime Dynamic': 0.829804, 'Renaming Unit/Subthreshold Leakage': 0.0552466, 'Renaming Unit/Subthreshold Leakage with power gating': 0.0276461, 'Runtime Dynamic': 5.7922, 'Subthreshold Leakage': 6.16288, 'Subthreshold Leakage with power gating': 2.55328}], 'DRAM': {'Area': 0, 'Gate Leakage': 0, 'Peak Dynamic': 0.5840218280895675, 'Runtime Dynamic': 0.5840218280895675, 'Subthreshold Leakage': 4.252, 'Subthreshold Leakage with power gating': 4.252}, 'L3': [{'Area': 61.9075, 'Gate Leakage': 0.0484137, 'Peak Dynamic': 0.202737, 'Runtime Dynamic': 0.119102, 'Subthreshold Leakage': 6.80085, 'Subthreshold Leakage with power gating': 3.32364}], 'Processor': {'Area': 191.908, 'Gate Leakage': 1.53485, 'Peak Dynamic': 90.9316, 'Peak Power': 124.044, 'Runtime Dynamic': 26.0141, 'Subthreshold Leakage': 31.5774, 'Subthreshold Leakage with power gating': 13.9484, 'Total Cores/Area': 128.669, 'Total Cores/Gate Leakage': 1.4798, 'Total Cores/Peak Dynamic': 90.7289, 'Total Cores/Runtime Dynamic': 25.895, 'Total Cores/Subthreshold Leakage': 24.7074, 'Total Cores/Subthreshold Leakage with power gating': 10.2429, 'Total L3s/Area': 61.9075, 'Total L3s/Gate Leakage': 0.0484137, 'Total L3s/Peak Dynamic': 0.202737, 'Total L3s/Runtime Dynamic': 0.119102, 'Total L3s/Subthreshold Leakage': 6.80085, 'Total L3s/Subthreshold Leakage with power gating': 3.32364, 'Total Leakage': 33.1122, 'Total NoCs/Area': 1.33155, 'Total NoCs/Gate Leakage': 0.00662954, 'Total NoCs/Peak Dynamic': 0.0, 'Total NoCs/Runtime Dynamic': 0.0, 'Total NoCs/Subthreshold Leakage': 0.0691322, 'Total NoCs/Subthreshold Leakage with power gating': 0.0259246}}
power = {'BUSES': {'Area': 1.33155, 'Bus/Area': 1.33155, 'Bus/Gate Leakage': 0.00662954, 'Bus/Peak Dynamic': 0.0, 'Bus/Runtime Dynamic': 0.0, 'Bus/Subthreshold Leakage': 0.0691322, 'Bus/Subthreshold Leakage with power gating': 0.0259246, 'Gate Leakage': 0.00662954, 'Peak Dynamic': 0.0, 'Runtime Dynamic': 0.0, 'Subthreshold Leakage': 0.0691322, 'Subthreshold Leakage with power gating': 0.0259246}, 'Core': [{'Area': 32.6082, 'Execution Unit/Area': 8.2042, 'Execution Unit/Complex ALUs/Area': 0.235435, 'Execution Unit/Complex ALUs/Gate Leakage': 0.0132646, 'Execution Unit/Complex ALUs/Peak Dynamic': 0.252741, 'Execution Unit/Complex ALUs/Runtime Dynamic': 0.401203, 'Execution Unit/Complex ALUs/Subthreshold Leakage': 0.20111, 'Execution Unit/Complex ALUs/Subthreshold Leakage with power gating': 0.0754163, 'Execution Unit/Floating Point Units/Area': 4.6585, 'Execution Unit/Floating Point Units/Gate Leakage': 0.0656156, 'Execution Unit/Floating Point Units/Peak Dynamic': 1.06821, 'Execution Unit/Floating Point Units/Runtime Dynamic': 0.304033, 'Execution Unit/Floating Point Units/Subthreshold Leakage': 0.994829, 'Execution Unit/Floating Point Units/Subthreshold Leakage with power gating': 0.373061, 'Execution Unit/Gate Leakage': 0.122718, 'Execution Unit/Instruction Scheduler/Area': 2.17927, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Area': 0.328073, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Gate Leakage': 0.00115349, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Peak Dynamic': 1.20978, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Runtime Dynamic': 0.726949, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Subthreshold Leakage': 0.017004, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Subthreshold Leakage with power gating': 0.00962066, 'Execution Unit/Instruction Scheduler/Gate Leakage': 0.00730101, 'Execution Unit/Instruction Scheduler/Instruction Window/Area': 1.00996, 'Execution Unit/Instruction Scheduler/Instruction Window/Gate Leakage': 0.00529112, 'Execution Unit/Instruction Scheduler/Instruction Window/Peak Dynamic': 2.07911, 'Execution Unit/Instruction Scheduler/Instruction Window/Runtime Dynamic': 1.25881, 'Execution Unit/Instruction Scheduler/Instruction Window/Subthreshold Leakage': 0.0800117, 'Execution Unit/Instruction Scheduler/Instruction Window/Subthreshold Leakage with power gating': 0.0455351, 'Execution Unit/Instruction Scheduler/Peak Dynamic': 4.84781, 'Execution Unit/Instruction Scheduler/ROB/Area': 0.841232, 'Execution Unit/Instruction Scheduler/ROB/Gate Leakage': 0.000856399, 'Execution Unit/Instruction Scheduler/ROB/Peak Dynamic': 1.55892, 'Execution Unit/Instruction Scheduler/ROB/Runtime Dynamic': 0.721964, 'Execution Unit/Instruction Scheduler/ROB/Subthreshold Leakage': 0.0178624, 'Execution Unit/Instruction Scheduler/ROB/Subthreshold Leakage with power gating': 0.00897339, 'Execution Unit/Instruction Scheduler/Runtime Dynamic': 2.70773, 'Execution Unit/Instruction Scheduler/Subthreshold Leakage': 0.114878, 'Execution Unit/Instruction Scheduler/Subthreshold Leakage with power gating': 0.0641291, 'Execution Unit/Integer ALUs/Area': 0.47087, 'Execution Unit/Integer ALUs/Gate Leakage': 0.0265291, 'Execution Unit/Integer ALUs/Peak Dynamic': 0.554789, 'Execution Unit/Integer ALUs/Runtime Dynamic': 0.101344, 'Execution Unit/Integer ALUs/Subthreshold Leakage': 0.40222, 'Execution Unit/Integer ALUs/Subthreshold Leakage with power gating': 0.150833, 'Execution Unit/Peak Dynamic': 8.08567, 'Execution Unit/Register Files/Area': 0.570804, 'Execution Unit/Register Files/Floating Point RF/Area': 0.208131, 'Execution Unit/Register Files/Floating Point RF/Gate Leakage': 0.000232788, 'Execution Unit/Register Files/Floating Point RF/Peak Dynamic': 0.201807, 'Execution Unit/Register Files/Floating Point RF/Runtime Dynamic': 0.0263525, 'Execution Unit/Register Files/Floating Point RF/Subthreshold Leakage': 0.00399698, 'Execution Unit/Register Files/Floating Point RF/Subthreshold Leakage with power gating': 0.00176968, 'Execution Unit/Register Files/Gate Leakage': 0.000622708, 'Execution Unit/Register Files/Integer RF/Area': 0.362673, 'Execution Unit/Register Files/Integer RF/Gate Leakage': 0.00038992, 'Execution Unit/Register Files/Integer RF/Peak Dynamic': 0.297246, 'Execution Unit/Register Files/Integer RF/Runtime Dynamic': 0.194893, 'Execution Unit/Register Files/Integer RF/Subthreshold Leakage': 0.00614175, 'Execution Unit/Register Files/Integer RF/Subthreshold Leakage with power gating': 0.00246675, 'Execution Unit/Register Files/Peak Dynamic': 0.499054, 'Execution Unit/Register Files/Runtime Dynamic': 0.221245, 'Execution Unit/Register Files/Subthreshold Leakage': 0.0101387, 'Execution Unit/Register Files/Subthreshold Leakage with power gating': 0.00423643, 'Execution Unit/Results Broadcast Bus/Area Overhead': 0.0442632, 'Execution Unit/Results Broadcast Bus/Gate Leakage': 0.00607074, 'Execution Unit/Results Broadcast Bus/Peak Dynamic': 0.78751, 'Execution Unit/Results Broadcast Bus/Runtime Dynamic': 1.76002, 'Execution Unit/Results Broadcast Bus/Subthreshold Leakage': 0.0920413, 'Execution Unit/Results Broadcast Bus/Subthreshold Leakage with power gating': 0.0345155, 'Execution Unit/Runtime Dynamic': 5.49557, 'Execution Unit/Subthreshold Leakage': 1.83518, 'Execution Unit/Subthreshold Leakage with power gating': 0.709678, 'Gate Leakage': 0.372997, 'Instruction Fetch Unit/Area': 5.86007, 'Instruction Fetch Unit/Branch Predictor/Area': 0.138516, 'Instruction Fetch Unit/Branch Predictor/Chooser/Area': 0.0435221, 'Instruction Fetch Unit/Branch Predictor/Chooser/Gate Leakage': 0.000278362, 'Instruction Fetch Unit/Branch Predictor/Chooser/Peak Dynamic': 0.0168831, 'Instruction Fetch Unit/Branch Predictor/Chooser/Runtime Dynamic': 0.00212992, 'Instruction Fetch Unit/Branch Predictor/Chooser/Subthreshold Leakage': 0.00759719, 'Instruction Fetch Unit/Branch Predictor/Chooser/Subthreshold Leakage with power gating': 0.0039236, 'Instruction Fetch Unit/Branch Predictor/Gate Leakage': 0.000757657, 'Instruction Fetch Unit/Branch Predictor/Global Predictor/Area': 0.0435221, 'Instruction Fetch Unit/Branch Predictor/Global Predictor/Gate Leakage': 0.000278362, 'Instruction Fetch Unit/Branch Predictor/Global Predictor/Peak Dynamic': 0.0168831, 'Instruction Fetch Unit/Branch Predictor/Global Predictor/Runtime Dynamic': 0.00212992, 'Instruction Fetch Unit/Branch Predictor/Global Predictor/Subthreshold Leakage': 0.00759719, 'Instruction Fetch Unit/Branch Predictor/Global Predictor/Subthreshold Leakage with power gating': 0.0039236, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Area': 0.0257064, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Gate Leakage': 0.000154548, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Peak Dynamic': 0.0142575, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Runtime Dynamic': 0.00186263, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Subthreshold Leakage': 0.00384344, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Subthreshold Leakage with power gating': 0.00198631, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Area': 0.0151917, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Gate Leakage': 8.00196e-05, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Peak Dynamic': 0.00527447, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Runtime Dynamic': 0.000725147, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Subthreshold Leakage': 0.00181347, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Subthreshold Leakage with power gating': 0.000957045, 'Instruction Fetch Unit/Branch Predictor/Peak Dynamic': 0.0597838, 'Instruction Fetch Unit/Branch Predictor/RAS/Area': 0.0105732, 'Instruction Fetch Unit/Branch Predictor/RAS/Gate Leakage': 4.63858e-05, 'Instruction Fetch Unit/Branch Predictor/RAS/Peak Dynamic': 0.0117602, 'Instruction Fetch Unit/Branch Predictor/RAS/Runtime Dynamic': 0.00279965, 'Instruction Fetch Unit/Branch Predictor/RAS/Subthreshold Leakage': 0.000932505, 'Instruction Fetch Unit/Branch Predictor/RAS/Subthreshold Leakage with power gating': 0.000494733, 'Instruction Fetch Unit/Branch Predictor/Runtime Dynamic': 0.00892212, 'Instruction Fetch Unit/Branch Predictor/Subthreshold Leakage': 0.0199703, 'Instruction Fetch Unit/Branch Predictor/Subthreshold Leakage with power gating': 0.0103282, 'Instruction Fetch Unit/Branch Target Buffer/Area': 0.64954, 'Instruction Fetch Unit/Branch Target Buffer/Gate Leakage': 0.00272758, 'Instruction Fetch Unit/Branch Target Buffer/Peak Dynamic': 0.177867, 'Instruction Fetch Unit/Branch Target Buffer/Runtime Dynamic': 0.0201542, 'Instruction Fetch Unit/Branch Target Buffer/Subthreshold Leakage': 0.0811682, 'Instruction Fetch Unit/Branch Target Buffer/Subthreshold Leakage with power gating': 0.0435357, 'Instruction Fetch Unit/Gate Leakage': 0.0590479, 'Instruction Fetch Unit/Instruction Buffer/Area': 0.0226323, 'Instruction Fetch Unit/Instruction Buffer/Gate Leakage': 6.83558e-05, 'Instruction Fetch Unit/Instruction Buffer/Peak Dynamic': 0.606827, 'Instruction Fetch Unit/Instruction Buffer/Runtime Dynamic': 0.187355, 'Instruction Fetch Unit/Instruction Buffer/Subthreshold Leakage': 0.00151885, 'Instruction Fetch Unit/Instruction Buffer/Subthreshold Leakage with power gating': 0.000701682, 'Instruction Fetch Unit/Instruction Cache/Area': 3.14635, 'Instruction Fetch Unit/Instruction Cache/Gate Leakage': 0.029931, 'Instruction Fetch Unit/Instruction Cache/Peak Dynamic': 6.43323, 'Instruction Fetch Unit/Instruction Cache/Runtime Dynamic': 0.460187, 'Instruction Fetch Unit/Instruction Cache/Subthreshold Leakage': 0.367022, 'Instruction Fetch Unit/Instruction Cache/Subthreshold Leakage with power gating': 0.180386, 'Instruction Fetch Unit/Instruction Decoder/Area': 1.85799, 'Instruction Fetch Unit/Instruction Decoder/Gate Leakage': 0.0222493, 'Instruction Fetch Unit/Instruction Decoder/Peak Dynamic': 1.37404, 'Instruction Fetch Unit/Instruction Decoder/Runtime Dynamic': 0.636343, 'Instruction Fetch Unit/Instruction Decoder/Subthreshold Leakage': 0.442943, 'Instruction Fetch Unit/Instruction Decoder/Subthreshold Leakage with power gating': 0.166104, 'Instruction Fetch Unit/Peak Dynamic': 8.96874, 'Instruction Fetch Unit/Runtime Dynamic': 1.31296, 'Instruction Fetch Unit/Subthreshold Leakage': 0.932587, 'Instruction Fetch Unit/Subthreshold Leakage with power gating': 0.408542, 'L2/Area': 4.53318, 'L2/Gate Leakage': 0.015464, 'L2/Peak Dynamic': 0.0239757, 'L2/Runtime Dynamic': 0.00602306, 'L2/Subthreshold Leakage': 0.834142, 'L2/Subthreshold Leakage with power gating': 0.401066, 'Load Store Unit/Area': 8.80969, 'Load Store Unit/Data Cache/Area': 6.84535, 'Load Store Unit/Data Cache/Gate Leakage': 0.0279261, 'Load Store Unit/Data Cache/Peak Dynamic': 6.71927, 'Load Store Unit/Data Cache/Runtime Dynamic': 2.64227, 'Load Store Unit/Data Cache/Subthreshold Leakage': 0.527675, 'Load Store Unit/Data Cache/Subthreshold Leakage with power gating': 0.25085, 'Load Store Unit/Gate Leakage': 0.0351387, 'Load Store Unit/LoadQ/Area': 0.0836782, 'Load Store Unit/LoadQ/Gate Leakage': 0.00059896, 'Load Store Unit/LoadQ/Peak Dynamic': 0.177361, 'Load Store Unit/LoadQ/Runtime Dynamic': 0.177361, 'Load Store Unit/LoadQ/Subthreshold Leakage': 0.00941961, 'Load Store Unit/LoadQ/Subthreshold Leakage with power gating': 0.00536918, 'Load Store Unit/Peak Dynamic': 7.56022, 'Load Store Unit/Runtime Dynamic': 3.69432, 'Load Store Unit/StoreQ/Area': 0.322079, 'Load Store Unit/StoreQ/Gate Leakage': 0.00329971, 'Load Store Unit/StoreQ/Peak Dynamic': 0.437341, 'Load Store Unit/StoreQ/Runtime Dynamic': 0.874683, 'Load Store Unit/StoreQ/Subthreshold Leakage': 0.0345621, 'Load Store Unit/StoreQ/Subthreshold Leakage with power gating': 0.0197004, 'Load Store 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'Execution Unit/Instruction Scheduler/FP Instruction Window/Subthreshold Leakage with power gating': 0.00810519, 'Execution Unit/Instruction Scheduler/Gate Leakage': 0.00568913, 'Execution Unit/Instruction Scheduler/Instruction Window/Area': 0.805223, 'Execution Unit/Instruction Scheduler/Instruction Window/Gate Leakage': 0.00414562, 'Execution Unit/Instruction Scheduler/Instruction Window/Peak Dynamic': 1.6763, 'Execution Unit/Instruction Scheduler/Instruction Window/Runtime Dynamic': 0.313671, 'Execution Unit/Instruction Scheduler/Instruction Window/Subthreshold Leakage': 0.0625755, 'Execution Unit/Instruction Scheduler/Instruction Window/Subthreshold Leakage with power gating': 0.0355964, 'Execution Unit/Instruction Scheduler/Peak Dynamic': 3.82262, 'Execution Unit/Instruction Scheduler/ROB/Area': 0.584388, 'Execution Unit/Instruction Scheduler/ROB/Gate Leakage': 0.00056608, 'Execution Unit/Instruction Scheduler/ROB/Peak Dynamic': 1.10451, 'Execution Unit/Instruction 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'L2/Subthreshold Leakage': 0.834142, 'L2/Subthreshold Leakage with power gating': 0.401066, 'Load Store Unit/Area': 8.80901, 'Load Store Unit/Data Cache/Area': 6.84535, 'Load Store Unit/Data Cache/Gate Leakage': 0.0279261, 'Load Store Unit/Data Cache/Peak Dynamic': 3.07721, 'Load Store Unit/Data Cache/Runtime Dynamic': 0.886587, 'Load Store Unit/Data Cache/Subthreshold Leakage': 0.527675, 'Load Store Unit/Data Cache/Subthreshold Leakage with power gating': 0.25085, 'Load Store Unit/Gate Leakage': 0.0350888, 'Load Store Unit/LoadQ/Area': 0.0836782, 'Load Store Unit/LoadQ/Gate Leakage': 0.00059896, 'Load Store Unit/LoadQ/Peak Dynamic': 0.0595312, 'Load Store Unit/LoadQ/Runtime Dynamic': 0.0595312, 'Load Store Unit/LoadQ/Subthreshold Leakage': 0.00941961, 'Load Store Unit/LoadQ/Subthreshold Leakage with power gating': 0.00536918, 'Load Store Unit/Peak Dynamic': 3.35833, 'Load Store Unit/Runtime Dynamic': 1.23971, 'Load Store Unit/StoreQ/Area': 0.322079, 'Load Store Unit/StoreQ/Gate 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'Renaming Unit/Free List/Runtime Dynamic': 0.00877394, 'Renaming Unit/Free List/Subthreshold Leakage': 0.000370144, 'Renaming Unit/Free List/Subthreshold Leakage with power gating': 0.000201064, 'Renaming Unit/Gate Leakage': 0.00708398, 'Renaming Unit/Int Front End RAT/Area': 0.0941223, 'Renaming Unit/Int Front End RAT/Gate Leakage': 0.000283242, 'Renaming Unit/Int Front End RAT/Peak Dynamic': 0.731965, 'Renaming Unit/Int Front End RAT/Runtime Dynamic': 0.0992643, 'Renaming Unit/Int Front End RAT/Subthreshold Leakage': 0.00435488, 'Renaming Unit/Int Front End RAT/Subthreshold Leakage with power gating': 0.00248228, 'Renaming Unit/Peak Dynamic': 3.58947, 'Renaming Unit/Runtime Dynamic': 0.108042, 'Renaming Unit/Subthreshold Leakage': 0.0552466, 'Renaming Unit/Subthreshold Leakage with power gating': 0.0276461, 'Runtime Dynamic': 3.62787, 'Subthreshold Leakage': 6.16288, 'Subthreshold Leakage with power gating': 2.55328}, {'Area': 32.0201, 'Execution Unit/Area': 7.68434, 'Execution 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Unit/FP Front End RAT/Gate Leakage': 0.00351123, 'Renaming Unit/FP Front End RAT/Peak Dynamic': 2.51468, 'Renaming Unit/FP Front End RAT/Runtime Dynamic': 0.650344, 'Renaming Unit/FP Front End RAT/Subthreshold Leakage': 0.0308571, 'Renaming Unit/FP Front End RAT/Subthreshold Leakage with power gating': 0.0175885, 'Renaming Unit/Free List/Area': 0.0340654, 'Renaming Unit/Free List/Gate Leakage': 2.5481e-05, 'Renaming Unit/Free List/Peak Dynamic': 0.0306032, 'Renaming Unit/Free List/Runtime Dynamic': 0.0231635, 'Renaming Unit/Free List/Subthreshold Leakage': 0.000370144, 'Renaming Unit/Free List/Subthreshold Leakage with power gating': 0.000201064, 'Renaming Unit/Gate Leakage': 0.00708398, 'Renaming Unit/Int Front End RAT/Area': 0.0941223, 'Renaming Unit/Int Front End RAT/Gate Leakage': 0.000283242, 'Renaming Unit/Int Front End RAT/Peak Dynamic': 0.731965, 'Renaming Unit/Int Front End RAT/Runtime Dynamic': 0.156297, 'Renaming Unit/Int Front End RAT/Subthreshold Leakage': 0.00435488, 'Renaming Unit/Int Front End RAT/Subthreshold Leakage with power gating': 0.00248228, 'Renaming Unit/Peak Dynamic': 3.58947, 'Renaming Unit/Runtime Dynamic': 0.829804, 'Renaming Unit/Subthreshold Leakage': 0.0552466, 'Renaming Unit/Subthreshold Leakage with power gating': 0.0276461, 'Runtime Dynamic': 5.7922, 'Subthreshold Leakage': 6.16288, 'Subthreshold Leakage with power gating': 2.55328}], 'DRAM': {'Area': 0, 'Gate Leakage': 0, 'Peak Dynamic': 0.5840218280895675, 'Runtime Dynamic': 0.5840218280895675, 'Subthreshold Leakage': 4.252, 'Subthreshold Leakage with power gating': 4.252}, 'L3': [{'Area': 61.9075, 'Gate Leakage': 0.0484137, 'Peak Dynamic': 0.202737, 'Runtime Dynamic': 0.119102, 'Subthreshold Leakage': 6.80085, 'Subthreshold Leakage with power gating': 3.32364}], 'Processor': {'Area': 191.908, 'Gate Leakage': 1.53485, 'Peak Dynamic': 90.9316, 'Peak Power': 124.044, 'Runtime Dynamic': 26.0141, 'Subthreshold Leakage': 31.5774, 'Subthreshold Leakage with power gating': 13.9484, 'Total Cores/Area': 128.669, 'Total Cores/Gate Leakage': 1.4798, 'Total Cores/Peak Dynamic': 90.7289, 'Total Cores/Runtime Dynamic': 25.895, 'Total Cores/Subthreshold Leakage': 24.7074, 'Total Cores/Subthreshold Leakage with power gating': 10.2429, 'Total L3s/Area': 61.9075, 'Total L3s/Gate Leakage': 0.0484137, 'Total L3s/Peak Dynamic': 0.202737, 'Total L3s/Runtime Dynamic': 0.119102, 'Total L3s/Subthreshold Leakage': 6.80085, 'Total L3s/Subthreshold Leakage with power gating': 3.32364, 'Total Leakage': 33.1122, 'Total NoCs/Area': 1.33155, 'Total NoCs/Gate Leakage': 0.00662954, 'Total NoCs/Peak Dynamic': 0.0, 'Total NoCs/Runtime Dynamic': 0.0, 'Total NoCs/Subthreshold Leakage': 0.0691322, 'Total NoCs/Subthreshold Leakage with power gating': 0.0259246}}
#There are 2N people a company is planning to interview. #The cost of flying the i-th person to city A is costs[i][0], and #the cost of flying the i-th person to city B is costs[i][1]. #Return the minimum cost to fly every person to a city such that exactly N people arrive in each city. class Solution: def twoCitySchedCost(self, costs: List[List[int]]) -> int: res = 0 costs = sorted(costs, key=lambda x: abs(x[0]-x[1]), reverse=True)# this is key - to observe that we need to sort by diff in costs. N = len(costs)//2 countA = N countB = N for citya, cityb in costs: if countA > 0 and countB > 0: if citya < cityb: countA-=1 res+= citya else: countB-=1 res+=cityb elif countA == 0: res+=cityb else: res+=citya return res
class Solution: def two_city_sched_cost(self, costs: List[List[int]]) -> int: res = 0 costs = sorted(costs, key=lambda x: abs(x[0] - x[1]), reverse=True) n = len(costs) // 2 count_a = N count_b = N for (citya, cityb) in costs: if countA > 0 and countB > 0: if citya < cityb: count_a -= 1 res += citya else: count_b -= 1 res += cityb elif countA == 0: res += cityb else: res += citya return res
class Calculator: def __init__(self, a: int, b: int) -> None: self.a = a self.b = b def suma(self) -> int: return self.a + self.b def resta(self) -> int: return self.a - self.b def multi(self) -> int: return self.a * self.b def divicion(self): if self.b != 0: return self.a / self.b else: return "indeterminado" def potencia(self): return self.a ** self.b def raiz(self): if self.a < 0: cube_root = "indeterminado" else: if self.b > 0: cube_root = pow(self.a,1/self.b) else: cube_root = "indeterminado" return cube_root
class Calculator: def __init__(self, a: int, b: int) -> None: self.a = a self.b = b def suma(self) -> int: return self.a + self.b def resta(self) -> int: return self.a - self.b def multi(self) -> int: return self.a * self.b def divicion(self): if self.b != 0: return self.a / self.b else: return 'indeterminado' def potencia(self): return self.a ** self.b def raiz(self): if self.a < 0: cube_root = 'indeterminado' elif self.b > 0: cube_root = pow(self.a, 1 / self.b) else: cube_root = 'indeterminado' return cube_root
#!/usr/bin/env python3 # Implements a graph capable of storing edges of type N1 *-$ N2 where * and # $ are endpoints of type Endpoint. class Graph: # Adds a bidirected edges <-> to the graph. def add_bidirected_edge(self, node1, node2): raise NotImplementedError # Adds a directed edge --> to the graph. def add_directed_edge(self, node1, node2): raise NotImplementedError # Adds an undirected edge --- to the graph. def add_undirected_edge(self, node1, node2): raise NotImplementedError # Adds an nondirected edges o-o to the graph. def add_nondirected_edge(self, node1, node2): raise NotImplementedError # Adds a partially oriented edge o-> to the graph. def add_partially_oriented_edge(self, node1, node2): raise NotImplementedError # Adds the specified edge to the graph, provided it is not already in the # graph. def add_edge(self, edge): raise NotImplementedError # Adds a node to the graph. Precondition: The proposed name of the node # cannot already be used by any other node in the same graph. def add_node(self, node): raise NotImplementedError # Removes all nodes (and therefore all edges) from the graph. def clear(self): raise NotImplementedError # Determines whether this graph contains the given edge. # # Returns true iff the graph contain 'edge'. def contains_edge(self, edge): raise NotImplementedError # Determines whether this graph contains the given node. # # Returns true iff the graph contains 'node'. def contains_node(self, node): raise NotImplementedError # Returns true iff there is a directed cycle in the graph. def exists_directed_cycle(self): raise NotImplementedError # Returns true iff there is a directed path from node1 to node2 in the graph. def exists_directed_path_from_to(self, node1, node2): raise NotImplementedError # Returns true iff there is a path from node1 to node2 in the graph. def exists_undirected_path_from_to(self, node1, node2): raise NotImplementedError # A semi-directed path from A to B is an undirected path in which no # edge has an arrowhead pointing "back" towards A. # # Return true iff there is a semi-directed path from node1 to a node in nodes in the graph. def exists_semidirected_path_from_to(self, node1, nodes): raise NotImplementedError # Determines whether an inducing path exists between node1 and node2, given # a set O of observed nodes and a set sem of conditioned nodes. def exists_inducing_path(self, node1, node2): raise NotImplementedError # Returns true iff a trek exists between two nodes in the graph. A trek # exists if there is a directed path between the two nodes or else, for # some third node in the graph, there is a path to each of the two nodes in # question. def exists_trek(self, node1, node2): raise NotImplementedError # Determines whether this graph is equal to some other graph, in the sense # that they contain the same nodes and the sets of edges defined over these # nodes in the two graphs are isomorphic typewise. That is, if node A and B # exist in both graphs, and if there are, e.g., three edges between A and B # in the first graph, two of which are directed edges and one of which is # an undirected edge, then in the second graph there must also be two # directed edges and one undirected edge between nodes A and B. def __eq__(self, other): raise NotImplementedError # Removes all edges from the graph and fully connects it using $-$ edges, where $ is the given endpoint. def fully_connect(self, endpoint): raise NotImplementedError # Reorients all edges in the graph with the given endpoint. def reorient_all_with(self, endpoint): raise NotImplementedError # Returns a mutable list of nodes adjacent to the given node. def get_adjacent_nodes(self, node): raise NotImplementedError # Returns a mutable list of ancestors for the given nodes. def get_ancestors(self, nodes): raise NotImplementedError # Returns a mutable list of children for a node. def get_children(self, node): raise NotImplementedError # Returns the connectivity of the graph. def get_connectivity(self): raise NotImplementedError # Returns a mutable list of descendants for the given nodes. def get_descendants(self, nodes): raise NotImplementedError # Returns the edge connecting node1 and node2, provided a unique such edge exists. def get_edge(self, node1, node2): raise NotImplementedError # Returns the directed edge from node1 to node2, if there is one. def get_directed_edge(self, node1, node2): raise NotImplementedError # Returns the list of edges connected to a particular node. No particular ordering of the edges in the list is guaranteed. def get_node_edges(self, node): raise NotImplementedError # Returns the edges connecting node1 and node2. def get_connecting_edges(self, node1, node2): raise NotImplementedError # Returns the list of edges in the graph. No particular ordering is guaranteed. def get_graph_edges(self): raise NotImplementedError # Returns the endpoint along the edge from node1 to node2, at the node2 end. def get_endpoint(self, node1, node2): raise NotImplementedError # Returns the number of arrow endpoints adjacent to the node. def get_indegree(self, node): raise NotImplementedError # Returns the number of null endpoints adjacent to the node. def get_outdegree(self, node): raise NotImplementedError # Returns the total number of edges into and out of the node. def get_degree(self, node): raise NotImplementedError # Returns the node with the given string name. In case of accidental # duplicates, the first node encountered with the given name is returned. # In case no node exists with the given name, null is returned. def get_node(self, name): raise NotImplementedError # Returns the list of nodes for the graph. def get_nodes(self): raise NotImplementedError # Returns the names of the nodes, in the order of get_nodes. def get_node_names(self): raise NotImplementedError # Returns the number of edges in the entire graph. def get_num_edges(self): raise NotImplementedError # Returns the number of edges in the graph which are connected to a particular node. def get_num_connected_edges(self, node): raise NotImplementedError # Return the number of nodes in the graph. def get_num_nodes(self): raise NotImplementedError # Return the list of parents of a node. def get_parents(self, node): raise NotImplementedError # Return true iff node1 is adjacent to node2 in the graph. def is_adjacent_to(self, node1, node2): raise NotImplementedError # Return true iff node1 is an ancestor of node2. def is_ancestor_of(self, node1, node2): raise NotImplementedError # Return true iff node1 is a possible ancestor of node2. # # This is a low priority method and may not be implemented. def possible_ancestor(self, node1, node2): raise NotImplementedError # Return true iff node1 is a child of node2. def is_child_of(self, node1, node2): raise NotImplementedError # Returns true iff node1 is a parent of node2. def is_parent_of(self, node1, node2): raise NotImplementedError # Returns true iff node1 is a proper ancestor of node2. def is_proper_ancestor_of(self, node1, node2): raise NotImplementedError # Returns true iff node1 is a proper descendant of node2. def is_proper_descendant_of(self, node1, node2): raise NotImplementedError # Returns true iff node1 is a descendant of node2. def is_descendant_of(self, node1, node2): raise NotImplementedError # A node Y is a definite nondescendent of a node X just in case there is no # semi-directed path from X to Y. # # Returns true if node 2 is a definite nondecendent of node 1. # # This is a low priority method and may not be implemented def def_non_descendent(self, node1, node2): raise NotImplementedError # Returns true if node2 is a definite noncollider between node1 and node3. def is_def_noncollider(self, node1, node2, node3): raise NotImplementedError # Returns true if node2 is a definite collider between node1 and node3. def is_def_collider(self, node1, node2, node3): raise NotImplementedError # Returns true if node1 and node2 are d-connected on the set of nodes z. def is_dconnected_to(self, node1, node2, z): raise NotImplementedError # Returns true if node1 and node2 are d-separated on the set of nodes z. def is_dseparated_from(self, node1, node2, z): raise NotImplementedError # A path U is possibly-d-connecting if every definite collider on U # is a possible ancestor of a node in z and every definite non-collider is # not in z. # # Returns true iff node1 and node2 are possibly d-connected on z. # # This is a low priority method and may not be implemented. def poss_dconnected_to(self, node1, node2, z): raise NotImplementedError # Returns true if the graph is a pattern. def is_pattern(self): raise NotImplementedError # Sets whether the graph is a pattern. def set_pattern(self, pattern): raise NotImplementedError # Returns true if the graph is a PAG. def is_pag(self): raise NotImplementedError # Sets whether the graph is a PAG. def set_pag(self, pag): raise NotImplementedError # Returns true iff there is a single directed edge from node1 to node2. def is_directed_from_to(self, node1, node2): raise NotImplementedError # REturns true iff there is a single undirected edge between node1 and node2. def is_undirected_from_to(self, node1, node2): raise NotImplementedError # A directed edge A->B is definitely visible if there is a node C not # adjacent to B such that C*->A is in the PAG_of_the_true_DAG. # # Returns true iff the given edge is definitely visible. # # This is a low priority method and may not be implemented. def def_visible(self, edge): raise NotImplementedError # Returns true iff the given node is exogenous. def is_exogenous(self, node): raise NotImplementedError # Returns the nodes adjacent to the given node with the given proximal endpoint. def get_nodes_into(self, node, endpoint): raise NotImplementedError # Returns the nodes adjacent to the given node with the given distal endpoint. def get_nodes_out_of(self, node, endpoint): raise NotImplementedError # Removes the given edge from the graph. def remove_edge(self, edge): raise NotImplementedError # Removes the edge connecting the given two nodes, provided there is exactly one such edge. def remove_connecting_edge(self, node1, node2): raise NotImplementedError # Removes all edges connecting node A to node B. In most cases, this will # remove at most one edge, but since multiple edges are permitted in some # graph implementations, the number will in some cases be greater than # one. def remove_connecting_edges(self, node1, node2): raise NotImplementedError # Iterates through the list and removes any permissible edges found. The # order in which edges are removed is the order in which they are presented # in the iterator. def remove_edges(self, edges): raise NotImplementedError # Removes a node from the graph. def remove_node(self, node): raise NotImplementedError # Iterates through the list and removes any permissible nodes found. The # order in which nodes are removed is the order in which they are presented # in the iterator. def remove_nodes(self, nodes): raise NotImplementedError # Sets the endpoint type at the 'to' end of the edge from 'from' to 'to' to # the given endpoint. Note: NOT CONSTRAINT SAFE def set_endpoint(self, node1, node2, endpoint): raise NotImplementedError # Constructs and returns a subgraph consisting of a given subset of the # nodes of this graph together with the edges between them. def subgraph(self, nodes): raise NotImplementedError # Returns a string representation of the graph. def __str__(self): raise NotImplementedError # Transfers nodes and edges from one graph to another. One way this is # used is to change graph types. One constructs a new graph based on the # old graph, and this method is called to transfer the nodes and edges of # the old graph to the new graph. def transfer_nodes_and_edges(self, graph): raise NotImplementedError def transfer_attributes(self, graph): raise NotImplementedError # Returns the list of ambiguous triples associated with this graph. Triples <x, y, z> that no longer # lie along a path in the getModel graph are removed. def get_ambiguous_triples(self): raise NotImplementedError # Returns the set of underlines associated with this graph. def get_underlines(self): raise NotImplementedError # Returns the set of dotted underlines associated with this graph. def get_dotted_underlines(self): raise NotImplementedError # Returns true iff the triple <node1, node2, node3> is set as ambiguous. def is_ambiguous_triple(self, node1, node2, node3): raise NotImplementedError # Returns true iff the triple <node1, node2, node3> is set as underlined. def is_underline_triple(self, node1, node2, node3): raise NotImplementedError # Returns true iff the triple <node1, node2, node3> is set as dotted underlined. def is_dotted_underline_triple(self, node1, node2, node3): raise NotImplementedError # Adds the triple <node1, node2, node3> as an ambiguous triple to the graph. def add_ambiguous_triple(self, node1, node2, node3): raise NotImplementedError # Adds the triple <node1, node2, node3> as an underlined triple to the graph. def add_underline_triple(self, node1, node2, node3): raise NotImplementedError # Adds the triple <node1, node2, node3> as a dotted underlined triple to the graph. def add_dotted_underline_triple(self, node1, node2, node3): raise NotImplementedError # Removes the triple <node1, node2, node3> from the set of ambiguous triples. def remove_ambiguous_triple(self, node1, node2, node3): raise NotImplementedError # Removes the triple <node1, node2, node3> from the set of underlined triples. def remove_underline_triple(self, node1, node2, node3): raise NotImplementedError # Removes the triple <node1, node2, node3> from the set of dotted underlined triples. def remove_dotted_underline_triple(self, node1, node2, node3): raise NotImplementedError # Sets the list of ambiguous triples to the triples in the given set. def set_ambiguous_triples(self, triples): raise NotImplementedError # Sets the list of underlined triples to the triples in the given set. def set_underline_triples(self, triples): raise NotImplementedError # Sets the list of dotted underlined triples to the triples in the given set. def set_dotted_underline_triples(self, triples): raise NotImplementedError # Returns a tier ordering for acyclic graphs. def get_causal_ordering(self): raise NotImplementedError # Returns true if the given node is parameterizable. def is_parameterizable(self, node): raise NotImplementedError # Returns true if this is a time lag model. def is_time_lag_model(self): raise NotImplementedError # Returns the nodes in the sepset of node1 and node2. def get_sepset(self, node1, node2): raise NotImplementedError # Sets the list of nodes for this graph. def set_nodes(self, nodes): raise NotImplementedError def get_all_attributes(self): raise NotImplementedError def get_attribute(self, key): raise NotImplementedError def remove_attribute(self, key): raise NotImplementedError def add_attribute(self, key, value): raise NotImplementedError
class Graph: def add_bidirected_edge(self, node1, node2): raise NotImplementedError def add_directed_edge(self, node1, node2): raise NotImplementedError def add_undirected_edge(self, node1, node2): raise NotImplementedError def add_nondirected_edge(self, node1, node2): raise NotImplementedError def add_partially_oriented_edge(self, node1, node2): raise NotImplementedError def add_edge(self, edge): raise NotImplementedError def add_node(self, node): raise NotImplementedError def clear(self): raise NotImplementedError def contains_edge(self, edge): raise NotImplementedError def contains_node(self, node): raise NotImplementedError def exists_directed_cycle(self): raise NotImplementedError def exists_directed_path_from_to(self, node1, node2): raise NotImplementedError def exists_undirected_path_from_to(self, node1, node2): raise NotImplementedError def exists_semidirected_path_from_to(self, node1, nodes): raise NotImplementedError def exists_inducing_path(self, node1, node2): raise NotImplementedError def exists_trek(self, node1, node2): raise NotImplementedError def __eq__(self, other): raise NotImplementedError def fully_connect(self, endpoint): raise NotImplementedError def reorient_all_with(self, endpoint): raise NotImplementedError def get_adjacent_nodes(self, node): raise NotImplementedError def get_ancestors(self, nodes): raise NotImplementedError def get_children(self, node): raise NotImplementedError def get_connectivity(self): raise NotImplementedError def get_descendants(self, nodes): raise NotImplementedError def get_edge(self, node1, node2): raise NotImplementedError def get_directed_edge(self, node1, node2): raise NotImplementedError def get_node_edges(self, node): raise NotImplementedError def get_connecting_edges(self, node1, node2): raise NotImplementedError def get_graph_edges(self): raise NotImplementedError def get_endpoint(self, node1, node2): raise NotImplementedError def get_indegree(self, node): raise NotImplementedError def get_outdegree(self, node): raise NotImplementedError def get_degree(self, node): raise NotImplementedError def get_node(self, name): raise NotImplementedError def get_nodes(self): raise NotImplementedError def get_node_names(self): raise NotImplementedError def get_num_edges(self): raise NotImplementedError def get_num_connected_edges(self, node): raise NotImplementedError def get_num_nodes(self): raise NotImplementedError def get_parents(self, node): raise NotImplementedError def is_adjacent_to(self, node1, node2): raise NotImplementedError def is_ancestor_of(self, node1, node2): raise NotImplementedError def possible_ancestor(self, node1, node2): raise NotImplementedError def is_child_of(self, node1, node2): raise NotImplementedError def is_parent_of(self, node1, node2): raise NotImplementedError def is_proper_ancestor_of(self, node1, node2): raise NotImplementedError def is_proper_descendant_of(self, node1, node2): raise NotImplementedError def is_descendant_of(self, node1, node2): raise NotImplementedError def def_non_descendent(self, node1, node2): raise NotImplementedError def is_def_noncollider(self, node1, node2, node3): raise NotImplementedError def is_def_collider(self, node1, node2, node3): raise NotImplementedError def is_dconnected_to(self, node1, node2, z): raise NotImplementedError def is_dseparated_from(self, node1, node2, z): raise NotImplementedError def poss_dconnected_to(self, node1, node2, z): raise NotImplementedError def is_pattern(self): raise NotImplementedError def set_pattern(self, pattern): raise NotImplementedError def is_pag(self): raise NotImplementedError def set_pag(self, pag): raise NotImplementedError def is_directed_from_to(self, node1, node2): raise NotImplementedError def is_undirected_from_to(self, node1, node2): raise NotImplementedError def def_visible(self, edge): raise NotImplementedError def is_exogenous(self, node): raise NotImplementedError def get_nodes_into(self, node, endpoint): raise NotImplementedError def get_nodes_out_of(self, node, endpoint): raise NotImplementedError def remove_edge(self, edge): raise NotImplementedError def remove_connecting_edge(self, node1, node2): raise NotImplementedError def remove_connecting_edges(self, node1, node2): raise NotImplementedError def remove_edges(self, edges): raise NotImplementedError def remove_node(self, node): raise NotImplementedError def remove_nodes(self, nodes): raise NotImplementedError def set_endpoint(self, node1, node2, endpoint): raise NotImplementedError def subgraph(self, nodes): raise NotImplementedError def __str__(self): raise NotImplementedError def transfer_nodes_and_edges(self, graph): raise NotImplementedError def transfer_attributes(self, graph): raise NotImplementedError def get_ambiguous_triples(self): raise NotImplementedError def get_underlines(self): raise NotImplementedError def get_dotted_underlines(self): raise NotImplementedError def is_ambiguous_triple(self, node1, node2, node3): raise NotImplementedError def is_underline_triple(self, node1, node2, node3): raise NotImplementedError def is_dotted_underline_triple(self, node1, node2, node3): raise NotImplementedError def add_ambiguous_triple(self, node1, node2, node3): raise NotImplementedError def add_underline_triple(self, node1, node2, node3): raise NotImplementedError def add_dotted_underline_triple(self, node1, node2, node3): raise NotImplementedError def remove_ambiguous_triple(self, node1, node2, node3): raise NotImplementedError def remove_underline_triple(self, node1, node2, node3): raise NotImplementedError def remove_dotted_underline_triple(self, node1, node2, node3): raise NotImplementedError def set_ambiguous_triples(self, triples): raise NotImplementedError def set_underline_triples(self, triples): raise NotImplementedError def set_dotted_underline_triples(self, triples): raise NotImplementedError def get_causal_ordering(self): raise NotImplementedError def is_parameterizable(self, node): raise NotImplementedError def is_time_lag_model(self): raise NotImplementedError def get_sepset(self, node1, node2): raise NotImplementedError def set_nodes(self, nodes): raise NotImplementedError def get_all_attributes(self): raise NotImplementedError def get_attribute(self, key): raise NotImplementedError def remove_attribute(self, key): raise NotImplementedError def add_attribute(self, key, value): raise NotImplementedError
# coding: utf-8 class TestApp(object): def setup(self): pass def teardown(self): pass def test_app(self): assert True def test_app2(self): assert True
class Testapp(object): def setup(self): pass def teardown(self): pass def test_app(self): assert True def test_app2(self): assert True
class BST: class Node: def __init__(self, x = None, l = None, r = None): self.data = x self.left = l self.right = r def is_leaf(self): return self.left == None and self.right == None def __str__(self): return '(' + str(self.data) + ')' def __repr__(self): result = '(' + repr(self.data) + ' @' + str(id(self)) +\ ' left -> ' if self.left == None: result += 'None' else: result += '@' + str(id(self.left)) result += ' right -> ' if self.right == None: result += 'None' else: result += '@' + str(id(self.right)) result += ')' return result def __init__(self, orig = None): self.root = None if orig != None: for x in orig: self.add(x) ############################################################# # # These methods will call the methods that YOU must implement # ############################################################# def __len__(self): return self.subtree_size(self.root) def height(self): return self.subtree_height(self.root) def sum(self): return self.subtree_sum(self.root) def __contains__(self, value): return self.subtree_contains(value, self.root) def deepest_value(self): if self.root == None: return [None, 0] else: return self.subtree_deepest( self.root, 1) ###################################################################### # # YOU MUST MODIFY THE METHODS BELOW THIS LINE # (But look at the methods in the section just above, # to see how recursion starts) # # | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | # v v v v v v v v v v v v v v v v v v v v v v v v v v v v v v v v v v ''' Exercise 1: return True if root is None ''' def is_empty(self): if self.root == None: return True return False ''' Exercise 2: return 0 if node is None, or 1 + sum or left and right sizes ''' def subtree_size(self, node): if node == None: return 0 else: return 1 + self.subtree_size(node.left) + self.subtree_size(node.right) ''' Exercise 3: return 0 if node is None, or 1 + max of left and right heights ''' def subtree_height(self, node): if node == None: return 0 else: return 1 + max(self.subtree_size(node.left), self.subtree_size(node.right)) ''' Exercise 4: start at root, and loop node = node.right ''' def rightmost_data(self): if self.root == None: return None else: node = self.root.right while node.right != None: node = node.right return node ''' Exercise 5: return 0 if node is None, or data + left and right sums ''' def subtree_sum(self,node): if node == None: return 0 else: return node.data + self.subtree_sum(node.left) + self.subtree_sum(node.right) ''' Exercise 6: False if node is None, otherwise go right or left until you find value ''' def subtree_contains(self, value, node): return False ''' Exercise 7: return node's data and depth, if it's a leaf, otherwise find deepest in both subtrees, return deeper pair ''' def subtree_deepest(self, node, depth): return [None, 0] # ^ ^ ^ ^ ^ ^ ^ ^ ^ ^ ^ ^ ^ ^ ^ ^ ^ ^ ^ ^ ^ ^ ^ ^ ^ ^ ^ ^ ^ ^ ^ ^ ^ ^ ^ ^ # | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | # # THE METHODS YOU MUST MODIFY ARE ABOVE THIS LINE # ######################################################################### def add(self, value): # print 'add: value=',value # print 'before add, tree is:', # print repr(self) if self.root == None: self.root = self.Node(value, None, None) else: p = self.root while True: if p.data == value: return False elif value < p.data: if p.left == None: p.left = self.Node(value) return True else: p = p.left else: # value > p.data if p.right == None: p.right = self.Node(value) return True else: p = p.right def inorder(self): result = [] self.inorder_into_list(self.root, result) return result def inorder_into_list(self, node, result): # print 'entering inorder_list.' # print ' node=',repr(node) # print ' result=',result if node != None: self.inorder_into_list(node.left, result) result.append(node.data) self.inorder_into_list(node.right, result) def __str__(self): l = self.inorder() return str(l) def __repr__(self): result = 'BST(\n' result += self.subtree_repr(self.root, 0) result += ')' return result def subtree_repr(self, node, depth): if node != None: r_repr = self.subtree_repr(node.right, depth+1) l_repr = self.subtree_repr(node.left, depth+1) return r_repr + \ ' ' + ' ' * depth + repr(node) + '\n' +\ l_repr else: return '' def main(): empty_tree = BST() print ("Is it empty?", empty_tree.is_empty()) tree = BST([3, 1, 4, 1, 5, 9, 2, 6, 5, 3, 5, 8, 9, 7]) print ("Is it empty?", tree.is_empty()) print ("tree values:", tree) print ("repr(tree):\n",repr(tree)) print ("size:",len(tree)) print ("height:",tree.height()) print ("rightmost:",tree.rightmost_data()) print ("sum:",tree.sum()) print ("contains 5?", (5 in tree)) print ("contains 0?", (0 in tree)) [value, depth] = tree.deepest_value() print ("deepest value:",value,"at depth",depth) if __name__ == '__main__': main()
class Bst: class Node: def __init__(self, x=None, l=None, r=None): self.data = x self.left = l self.right = r def is_leaf(self): return self.left == None and self.right == None def __str__(self): return '(' + str(self.data) + ')' def __repr__(self): result = '(' + repr(self.data) + ' @' + str(id(self)) + ' left -> ' if self.left == None: result += 'None' else: result += '@' + str(id(self.left)) result += ' right -> ' if self.right == None: result += 'None' else: result += '@' + str(id(self.right)) result += ')' return result def __init__(self, orig=None): self.root = None if orig != None: for x in orig: self.add(x) def __len__(self): return self.subtree_size(self.root) def height(self): return self.subtree_height(self.root) def sum(self): return self.subtree_sum(self.root) def __contains__(self, value): return self.subtree_contains(value, self.root) def deepest_value(self): if self.root == None: return [None, 0] else: return self.subtree_deepest(self.root, 1) ' Exercise 1: return True if root is None ' def is_empty(self): if self.root == None: return True return False ' Exercise 2: return 0 if node is None, \n or 1 + sum or left and right sizes ' def subtree_size(self, node): if node == None: return 0 else: return 1 + self.subtree_size(node.left) + self.subtree_size(node.right) ' Exercise 3: return 0 if node is None,\n or 1 + max of left and right heights ' def subtree_height(self, node): if node == None: return 0 else: return 1 + max(self.subtree_size(node.left), self.subtree_size(node.right)) ' Exercise 4: start at root, and loop node = node.right ' def rightmost_data(self): if self.root == None: return None else: node = self.root.right while node.right != None: node = node.right return node ' Exercise 5: return 0 if node is None,\n or data + left and right sums ' def subtree_sum(self, node): if node == None: return 0 else: return node.data + self.subtree_sum(node.left) + self.subtree_sum(node.right) ' Exercise 6: False if node is None,\n otherwise go right or left until you find value ' def subtree_contains(self, value, node): return False " Exercise 7: return node's data and depth, if it's a leaf,\n otherwise find deepest in both subtrees, return deeper pair " def subtree_deepest(self, node, depth): return [None, 0] def add(self, value): if self.root == None: self.root = self.Node(value, None, None) else: p = self.root while True: if p.data == value: return False elif value < p.data: if p.left == None: p.left = self.Node(value) return True else: p = p.left elif p.right == None: p.right = self.Node(value) return True else: p = p.right def inorder(self): result = [] self.inorder_into_list(self.root, result) return result def inorder_into_list(self, node, result): if node != None: self.inorder_into_list(node.left, result) result.append(node.data) self.inorder_into_list(node.right, result) def __str__(self): l = self.inorder() return str(l) def __repr__(self): result = 'BST(\n' result += self.subtree_repr(self.root, 0) result += ')' return result def subtree_repr(self, node, depth): if node != None: r_repr = self.subtree_repr(node.right, depth + 1) l_repr = self.subtree_repr(node.left, depth + 1) return r_repr + ' ' + ' ' * depth + repr(node) + '\n' + l_repr else: return '' def main(): empty_tree = bst() print('Is it empty?', empty_tree.is_empty()) tree = bst([3, 1, 4, 1, 5, 9, 2, 6, 5, 3, 5, 8, 9, 7]) print('Is it empty?', tree.is_empty()) print('tree values:', tree) print('repr(tree):\n', repr(tree)) print('size:', len(tree)) print('height:', tree.height()) print('rightmost:', tree.rightmost_data()) print('sum:', tree.sum()) print('contains 5?', 5 in tree) print('contains 0?', 0 in tree) [value, depth] = tree.deepest_value() print('deepest value:', value, 'at depth', depth) if __name__ == '__main__': main()
class LabeledImage(object): def __init__(self): self.height = -1 self.width = -1 self.filename = "" self.source_id = -1 self.encoded = -1 self.format = str.encode('jpeg') self.xmins = [] self.xmaxs = [] self.ymins = [] self.ymaxs = [] self.is_occluded = [] self.is_truncated = [] self.is_group_of = [] self.is_depicted = [] self.is_inside = [] self.text = [] self.label = [] def equal(self, img_name): if img_name == self.filename: return True else: return False # def set_height(self, val): # self.height = val # # def set_width(self, val): # self.width = val # # def set_filename(self, val): # self.filename = val # # def set_source_id(self, val): # self.source_id = val # # def set_encoded(self, val): # self.encoded = val # # def set_format(self, val): # self.format = val # # def set_xmin(self, val): # self.xmin = val # # def set_xmax(self, val): # self.xmax = val # # def set_ymin(self, val): # self.ymin = val # # def set_ymax(self, val): # self.ymax = val # # def set_text(self, val): # self.text = val # # def set_label(self, val): # self.label = val # # def get_height(self): # return self.height # # def get_width(self): # return self.width # # def get_filename(self): # return self.filename # # def get_source_id(self): # return self.source_id # # def get_encoded(self): # return self.encoded # # def get_format(self): # return self.format # # def get_xmin(self): # return self.xmin # # def get_xmax(self): # return self.xmax # # def get_ymin(self): # return self.ymin # # def get_ymax(self): # return self.ymax # # def get_text(self): # return self.text # # def get_label(self): # return self.label
class Labeledimage(object): def __init__(self): self.height = -1 self.width = -1 self.filename = '' self.source_id = -1 self.encoded = -1 self.format = str.encode('jpeg') self.xmins = [] self.xmaxs = [] self.ymins = [] self.ymaxs = [] self.is_occluded = [] self.is_truncated = [] self.is_group_of = [] self.is_depicted = [] self.is_inside = [] self.text = [] self.label = [] def equal(self, img_name): if img_name == self.filename: return True else: return False
class InvalidConfiguration(Exception): pass class RegionNotFound(Exception): pass
class Invalidconfiguration(Exception): pass class Regionnotfound(Exception): pass
# # PySNMP MIB module HPN-ICF-RS485-MIB (http://snmplabs.com/pysmi) # ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/HPN-ICF-RS485-MIB # Produced by pysmi-0.3.4 at Wed May 1 13:41:13 2019 # On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4 # Using Python version 3.7.3 (default, Mar 27 2019, 09:23:15) # Integer, ObjectIdentifier, OctetString = mibBuilder.importSymbols("ASN1", "Integer", "ObjectIdentifier", "OctetString") NamedValues, = mibBuilder.importSymbols("ASN1-ENUMERATION", "NamedValues") ConstraintsIntersection, ConstraintsUnion, SingleValueConstraint, ValueSizeConstraint, ValueRangeConstraint = mibBuilder.importSymbols("ASN1-REFINEMENT", "ConstraintsIntersection", "ConstraintsUnion", "SingleValueConstraint", "ValueSizeConstraint", "ValueRangeConstraint") hpnicfCommon, = mibBuilder.importSymbols("HPN-ICF-OID-MIB", "hpnicfCommon") ifIndex, = mibBuilder.importSymbols("IF-MIB", "ifIndex") InetAddressType, InetAddress = mibBuilder.importSymbols("INET-ADDRESS-MIB", "InetAddressType", "InetAddress") NotificationGroup, ModuleCompliance = mibBuilder.importSymbols("SNMPv2-CONF", "NotificationGroup", "ModuleCompliance") ModuleIdentity, Unsigned32, Integer32, IpAddress, Counter64, iso, TimeTicks, Gauge32, Counter32, NotificationType, MibIdentifier, Bits, ObjectIdentity, MibScalar, MibTable, MibTableRow, MibTableColumn = mibBuilder.importSymbols("SNMPv2-SMI", "ModuleIdentity", "Unsigned32", "Integer32", "IpAddress", "Counter64", "iso", "TimeTicks", "Gauge32", "Counter32", "NotificationType", "MibIdentifier", "Bits", "ObjectIdentity", "MibScalar", "MibTable", "MibTableRow", "MibTableColumn") TextualConvention, RowStatus, DisplayString = mibBuilder.importSymbols("SNMPv2-TC", "TextualConvention", "RowStatus", "DisplayString") hpnicfRS485 = ModuleIdentity((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 15, 2, 109)) if mibBuilder.loadTexts: hpnicfRS485.setLastUpdated('200910210000Z') if mibBuilder.loadTexts: hpnicfRS485.setOrganization('') if mibBuilder.loadTexts: hpnicfRS485.setContactInfo('') if mibBuilder.loadTexts: hpnicfRS485.setDescription('The objects in this MIB module are used to manage RS485 interfaces, and manage sessions on them.') hpnicfRS485Properties = MibIdentifier((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 15, 2, 109, 1)) hpnicfRS485PropertiesTable = MibTable((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 15, 2, 109, 1, 1), ) if mibBuilder.loadTexts: hpnicfRS485PropertiesTable.setStatus('current') if mibBuilder.loadTexts: hpnicfRS485PropertiesTable.setDescription('Propertie table.') hpnicfRS485PropertiesEntry = MibTableRow((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 15, 2, 109, 1, 1, 1), ).setIndexNames((0, "IF-MIB", "ifIndex")) if mibBuilder.loadTexts: hpnicfRS485PropertiesEntry.setStatus('current') if mibBuilder.loadTexts: hpnicfRS485PropertiesEntry.setDescription('Propertie entry.') hpnicfRS485RawSessionNextIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 15, 2, 109, 1, 1, 1, 1), Integer32().subtype(subtypeSpec=ValueRangeConstraint(1, 64))).setMaxAccess("readonly") if mibBuilder.loadTexts: hpnicfRS485RawSessionNextIndex.setStatus('current') if mibBuilder.loadTexts: hpnicfRS485RawSessionNextIndex.setDescription('The next valid index of raw sessions, from 1 to 64, which session has been created. When there is no valid index left, it will return 0.') hpnicfRS485BaudRate = MibTableColumn((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 15, 2, 109, 1, 1, 1, 2), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4, 5, 6, 7, 8, 9, 10))).clone(namedValues=NamedValues(("bautRate300", 1), ("bautRate600", 2), ("bautRate1200", 3), ("bautRate2400", 4), ("bautRate4800", 5), ("bautRate9600", 6), ("bautRate19200", 7), ("bautRate38400", 8), ("bautRate57600", 9), ("bautRate115200", 10))).clone('bautRate9600')).setMaxAccess("readwrite") if mibBuilder.loadTexts: hpnicfRS485BaudRate.setStatus('current') if mibBuilder.loadTexts: hpnicfRS485BaudRate.setDescription("The port's baud rate.") hpnicfRS485DataBits = MibTableColumn((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 15, 2, 109, 1, 1, 1, 3), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4))).clone(namedValues=NamedValues(("five", 1), ("six", 2), ("seven", 3), ("eight", 4))).clone('eight')).setUnits('bit').setMaxAccess("readwrite") if mibBuilder.loadTexts: hpnicfRS485DataBits.setStatus('current') if mibBuilder.loadTexts: hpnicfRS485DataBits.setDescription("The port's number of data bits in a character.") hpnicfRS485Parity = MibTableColumn((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 15, 2, 109, 1, 1, 1, 4), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4, 5))).clone(namedValues=NamedValues(("none", 1), ("odd", 2), ("even", 3), ("mark", 4), ("space", 5))).clone('none')).setMaxAccess("readwrite") if mibBuilder.loadTexts: hpnicfRS485Parity.setStatus('current') if mibBuilder.loadTexts: hpnicfRS485Parity.setDescription("The port's sense of a character parity bit.") hpnicfRS485StopBits = MibTableColumn((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 15, 2, 109, 1, 1, 1, 5), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3))).clone(namedValues=NamedValues(("one", 1), ("two", 2), ("oneAndHalf", 3))).clone('one')).setUnits('bit').setMaxAccess("readwrite") if mibBuilder.loadTexts: hpnicfRS485StopBits.setStatus('current') if mibBuilder.loadTexts: hpnicfRS485StopBits.setDescription("The port's number of stop bits.") hpnicfRS485FlowControl = MibTableColumn((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 15, 2, 109, 1, 1, 1, 6), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3))).clone(namedValues=NamedValues(("none", 1), ("hardware", 2), ("xonOrxoff", 3))).clone('none')).setMaxAccess("readwrite") if mibBuilder.loadTexts: hpnicfRS485FlowControl.setStatus('current') if mibBuilder.loadTexts: hpnicfRS485FlowControl.setDescription("The port's type of input flow control. 'none' indicates no flow control at this level. 'hardware' indicates use of hardware signals. 'xonOrxoff' indicates use of software function.") hpnicfRS485TXCharacters = MibTableColumn((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 15, 2, 109, 1, 1, 1, 7), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: hpnicfRS485TXCharacters.setStatus('current') if mibBuilder.loadTexts: hpnicfRS485TXCharacters.setDescription('The number of output characters for the port.') hpnicfRS485RXCharacters = MibTableColumn((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 15, 2, 109, 1, 1, 1, 8), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: hpnicfRS485RXCharacters.setStatus('current') if mibBuilder.loadTexts: hpnicfRS485RXCharacters.setDescription('The number of input characters for the port.') hpnicfRS485TXErrCharacters = MibTableColumn((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 15, 2, 109, 1, 1, 1, 9), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: hpnicfRS485TXErrCharacters.setStatus('current') if mibBuilder.loadTexts: hpnicfRS485TXErrCharacters.setDescription('The number of output error characters for the port.') hpnicfRS485RXErrCharacters = MibTableColumn((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 15, 2, 109, 1, 1, 1, 10), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: hpnicfRS485RXErrCharacters.setStatus('current') if mibBuilder.loadTexts: hpnicfRS485RXErrCharacters.setDescription('The number of input error characters for the port.') hpnicfRS485ResetCharacters = MibTableColumn((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 15, 2, 109, 1, 1, 1, 11), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("counting", 1), ("clear", 2))).clone('counting')).setMaxAccess("readwrite") if mibBuilder.loadTexts: hpnicfRS485ResetCharacters.setStatus('current') if mibBuilder.loadTexts: hpnicfRS485ResetCharacters.setDescription('Reset the counters to zero, inlucding hpnicfRS485TXCharacters, hpnicfRS485RXCharacters, hpnicfRS485TXErrCharacters and hpnicfRS485RXErrCharacters.') hpnicfRS485RawSessions = MibIdentifier((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 15, 2, 109, 2)) hpnicfRS485RawSessionSummary = MibIdentifier((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 15, 2, 109, 2, 1)) hpnicfRS485RawSessionMaxNum = MibScalar((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 15, 2, 109, 2, 1, 1), Integer32().subtype(subtypeSpec=ValueRangeConstraint(1, 64))).setMaxAccess("readonly") if mibBuilder.loadTexts: hpnicfRS485RawSessionMaxNum.setStatus('current') if mibBuilder.loadTexts: hpnicfRS485RawSessionMaxNum.setDescription('The max number of raw sessions what we can support.') hpnicfRS485RawSessionTable = MibTable((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 15, 2, 109, 2, 2), ) if mibBuilder.loadTexts: hpnicfRS485RawSessionTable.setStatus('current') if mibBuilder.loadTexts: hpnicfRS485RawSessionTable.setDescription('RS485 raw session table. Data recieved from rs485 will be sent to the destination by raw sockets.') hpnicfRS485RawSessionEntry = MibTableRow((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 15, 2, 109, 2, 2, 1), ).setIndexNames((0, "IF-MIB", "ifIndex"), (0, "HPN-ICF-RS485-MIB", "hpnicfRS485SessionIndex")) if mibBuilder.loadTexts: hpnicfRS485RawSessionEntry.setStatus('current') if mibBuilder.loadTexts: hpnicfRS485RawSessionEntry.setDescription('Parameters of a session, including remote IP address, remote port, local port, and so on.') hpnicfRS485SessionIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 15, 2, 109, 2, 2, 1, 1), Integer32().subtype(subtypeSpec=ValueRangeConstraint(1, 64))) if mibBuilder.loadTexts: hpnicfRS485SessionIndex.setStatus('current') if mibBuilder.loadTexts: hpnicfRS485SessionIndex.setDescription('Raw session index.') hpnicfRS485SessionType = MibTableColumn((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 15, 2, 109, 2, 2, 1, 2), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3))).clone(namedValues=NamedValues(("udp", 1), ("tcpClient", 2), ("tcpServer", 3)))).setMaxAccess("readwrite") if mibBuilder.loadTexts: hpnicfRS485SessionType.setStatus('current') if mibBuilder.loadTexts: hpnicfRS485SessionType.setDescription('The type of a session. A session can use UDP socket, TCP socket as a client, or TCP socket as a server.') hpnicfRS485SessionAddType = MibTableColumn((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 15, 2, 109, 2, 2, 1, 3), InetAddressType().clone('ipv4')).setMaxAccess("readwrite") if mibBuilder.loadTexts: hpnicfRS485SessionAddType.setStatus('current') if mibBuilder.loadTexts: hpnicfRS485SessionAddType.setDescription('This object indicates the transport type of the address contained in hpnicfRS485SessionRemoteIP object.') hpnicfRS485SessionRemoteIP = MibTableColumn((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 15, 2, 109, 2, 2, 1, 4), InetAddress()).setMaxAccess("readcreate") if mibBuilder.loadTexts: hpnicfRS485SessionRemoteIP.setStatus('current') if mibBuilder.loadTexts: hpnicfRS485SessionRemoteIP.setDescription("The IP of remote entry. When session type is 'udp', this is the IP of the peer. When session type is 'tcpClient', this is the IP of the server . When session type is 'tcpServer', this is invalid, it will return 0. ") hpnicfRS485SessionRemotePort = MibTableColumn((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 15, 2, 109, 2, 2, 1, 5), Integer32().subtype(subtypeSpec=ValueRangeConstraint(1024, 65535))).setMaxAccess("readcreate") if mibBuilder.loadTexts: hpnicfRS485SessionRemotePort.setStatus('current') if mibBuilder.loadTexts: hpnicfRS485SessionRemotePort.setDescription("The port of remote entry. When session type is 'udp', this is port of the peer. When session type is 'tcpClient', this is the port of the server. When session type is 'tcpServer', this is invalid, it will return 0. ") hpnicfRS485SessionLocalPort = MibTableColumn((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 15, 2, 109, 2, 2, 1, 6), Integer32().subtype(subtypeSpec=ValueRangeConstraint(1024, 65535))).setMaxAccess("readcreate") if mibBuilder.loadTexts: hpnicfRS485SessionLocalPort.setStatus('current') if mibBuilder.loadTexts: hpnicfRS485SessionLocalPort.setDescription("Local socket port. When session type is 'udp', this is local UDP socket port. When session type is 'tcpClient', this is invalid, it will return 0. When session type is 'tcpServer', this is the local port which will be listened. ") hpnicfRS485SessionStatus = MibTableColumn((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 15, 2, 109, 2, 2, 1, 7), RowStatus()).setMaxAccess("readcreate") if mibBuilder.loadTexts: hpnicfRS485SessionStatus.setStatus('current') if mibBuilder.loadTexts: hpnicfRS485SessionStatus.setDescription('The status column used for creating, modifying, and deleting instances of the columnar objects in raw session table.') hpnicfRS485RawSessionErrInfoTable = MibTable((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 15, 2, 109, 2, 3), ) if mibBuilder.loadTexts: hpnicfRS485RawSessionErrInfoTable.setStatus('current') if mibBuilder.loadTexts: hpnicfRS485RawSessionErrInfoTable.setDescription('Error infomation table. It is fail to create a session, management station can get infomation from this table.') hpnicfRS485RawSessionErrInfoEntry = MibTableRow((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 15, 2, 109, 2, 3, 1), ).setIndexNames((0, "IF-MIB", "ifIndex"), (0, "HPN-ICF-RS485-MIB", "hpnicfRS485SessionIndex")) if mibBuilder.loadTexts: hpnicfRS485RawSessionErrInfoEntry.setStatus('current') if mibBuilder.loadTexts: hpnicfRS485RawSessionErrInfoEntry.setDescription('Error infomaition.') hpnicfRS485RawSessionErrInfo = MibTableColumn((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 15, 2, 109, 2, 3, 1, 1), DisplayString()).setMaxAccess("readonly") if mibBuilder.loadTexts: hpnicfRS485RawSessionErrInfo.setStatus('current') if mibBuilder.loadTexts: hpnicfRS485RawSessionErrInfo.setDescription("Error infomation string. When a response with 'noCreeation' for row creation in table hpnicfRS485RawSessionTable, the management station should display this string to users, thus users can konw the reason.") mibBuilder.exportSymbols("HPN-ICF-RS485-MIB", hpnicfRS485RawSessionSummary=hpnicfRS485RawSessionSummary, hpnicfRS485RawSessionMaxNum=hpnicfRS485RawSessionMaxNum, hpnicfRS485SessionRemotePort=hpnicfRS485SessionRemotePort, hpnicfRS485SessionLocalPort=hpnicfRS485SessionLocalPort, hpnicfRS485TXErrCharacters=hpnicfRS485TXErrCharacters, hpnicfRS485StopBits=hpnicfRS485StopBits, hpnicfRS485PropertiesEntry=hpnicfRS485PropertiesEntry, hpnicfRS485SessionIndex=hpnicfRS485SessionIndex, hpnicfRS485RXCharacters=hpnicfRS485RXCharacters, hpnicfRS485SessionRemoteIP=hpnicfRS485SessionRemoteIP, hpnicfRS485RawSessionErrInfoTable=hpnicfRS485RawSessionErrInfoTable, hpnicfRS485RawSessionErrInfoEntry=hpnicfRS485RawSessionErrInfoEntry, hpnicfRS485Properties=hpnicfRS485Properties, hpnicfRS485FlowControl=hpnicfRS485FlowControl, hpnicfRS485SessionStatus=hpnicfRS485SessionStatus, hpnicfRS485SessionAddType=hpnicfRS485SessionAddType, hpnicfRS485=hpnicfRS485, hpnicfRS485Parity=hpnicfRS485Parity, hpnicfRS485RXErrCharacters=hpnicfRS485RXErrCharacters, hpnicfRS485RawSessionTable=hpnicfRS485RawSessionTable, hpnicfRS485RawSessionNextIndex=hpnicfRS485RawSessionNextIndex, hpnicfRS485RawSessionEntry=hpnicfRS485RawSessionEntry, hpnicfRS485RawSessionErrInfo=hpnicfRS485RawSessionErrInfo, hpnicfRS485DataBits=hpnicfRS485DataBits, PYSNMP_MODULE_ID=hpnicfRS485, hpnicfRS485ResetCharacters=hpnicfRS485ResetCharacters, hpnicfRS485BaudRate=hpnicfRS485BaudRate, hpnicfRS485RawSessions=hpnicfRS485RawSessions, hpnicfRS485PropertiesTable=hpnicfRS485PropertiesTable, hpnicfRS485TXCharacters=hpnicfRS485TXCharacters, hpnicfRS485SessionType=hpnicfRS485SessionType)
(integer, object_identifier, octet_string) = mibBuilder.importSymbols('ASN1', 'Integer', 'ObjectIdentifier', 'OctetString') (named_values,) = mibBuilder.importSymbols('ASN1-ENUMERATION', 'NamedValues') (constraints_intersection, constraints_union, single_value_constraint, value_size_constraint, value_range_constraint) = mibBuilder.importSymbols('ASN1-REFINEMENT', 'ConstraintsIntersection', 'ConstraintsUnion', 'SingleValueConstraint', 'ValueSizeConstraint', 'ValueRangeConstraint') (hpnicf_common,) = mibBuilder.importSymbols('HPN-ICF-OID-MIB', 'hpnicfCommon') (if_index,) = mibBuilder.importSymbols('IF-MIB', 'ifIndex') (inet_address_type, inet_address) = mibBuilder.importSymbols('INET-ADDRESS-MIB', 'InetAddressType', 'InetAddress') (notification_group, module_compliance) = mibBuilder.importSymbols('SNMPv2-CONF', 'NotificationGroup', 'ModuleCompliance') (module_identity, unsigned32, integer32, ip_address, counter64, iso, time_ticks, gauge32, counter32, notification_type, mib_identifier, bits, object_identity, mib_scalar, mib_table, mib_table_row, mib_table_column) = mibBuilder.importSymbols('SNMPv2-SMI', 'ModuleIdentity', 'Unsigned32', 'Integer32', 'IpAddress', 'Counter64', 'iso', 'TimeTicks', 'Gauge32', 'Counter32', 'NotificationType', 'MibIdentifier', 'Bits', 'ObjectIdentity', 'MibScalar', 'MibTable', 'MibTableRow', 'MibTableColumn') (textual_convention, row_status, display_string) = mibBuilder.importSymbols('SNMPv2-TC', 'TextualConvention', 'RowStatus', 'DisplayString') hpnicf_rs485 = module_identity((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 15, 2, 109)) if mibBuilder.loadTexts: hpnicfRS485.setLastUpdated('200910210000Z') if mibBuilder.loadTexts: hpnicfRS485.setOrganization('') if mibBuilder.loadTexts: hpnicfRS485.setContactInfo('') if mibBuilder.loadTexts: hpnicfRS485.setDescription('The objects in this MIB module are used to manage RS485 interfaces, and manage sessions on them.') hpnicf_rs485_properties = mib_identifier((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 15, 2, 109, 1)) hpnicf_rs485_properties_table = mib_table((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 15, 2, 109, 1, 1)) if mibBuilder.loadTexts: hpnicfRS485PropertiesTable.setStatus('current') if mibBuilder.loadTexts: hpnicfRS485PropertiesTable.setDescription('Propertie table.') hpnicf_rs485_properties_entry = mib_table_row((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 15, 2, 109, 1, 1, 1)).setIndexNames((0, 'IF-MIB', 'ifIndex')) if mibBuilder.loadTexts: hpnicfRS485PropertiesEntry.setStatus('current') if mibBuilder.loadTexts: hpnicfRS485PropertiesEntry.setDescription('Propertie entry.') hpnicf_rs485_raw_session_next_index = mib_table_column((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 15, 2, 109, 1, 1, 1, 1), integer32().subtype(subtypeSpec=value_range_constraint(1, 64))).setMaxAccess('readonly') if mibBuilder.loadTexts: hpnicfRS485RawSessionNextIndex.setStatus('current') if mibBuilder.loadTexts: hpnicfRS485RawSessionNextIndex.setDescription('The next valid index of raw sessions, from 1 to 64, which session has been created. When there is no valid index left, it will return 0.') hpnicf_rs485_baud_rate = mib_table_column((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 15, 2, 109, 1, 1, 1, 2), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2, 3, 4, 5, 6, 7, 8, 9, 10))).clone(namedValues=named_values(('bautRate300', 1), ('bautRate600', 2), ('bautRate1200', 3), ('bautRate2400', 4), ('bautRate4800', 5), ('bautRate9600', 6), ('bautRate19200', 7), ('bautRate38400', 8), ('bautRate57600', 9), ('bautRate115200', 10))).clone('bautRate9600')).setMaxAccess('readwrite') if mibBuilder.loadTexts: hpnicfRS485BaudRate.setStatus('current') if mibBuilder.loadTexts: hpnicfRS485BaudRate.setDescription("The port's baud rate.") hpnicf_rs485_data_bits = mib_table_column((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 15, 2, 109, 1, 1, 1, 3), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2, 3, 4))).clone(namedValues=named_values(('five', 1), ('six', 2), ('seven', 3), ('eight', 4))).clone('eight')).setUnits('bit').setMaxAccess('readwrite') if mibBuilder.loadTexts: hpnicfRS485DataBits.setStatus('current') if mibBuilder.loadTexts: hpnicfRS485DataBits.setDescription("The port's number of data bits in a character.") hpnicf_rs485_parity = mib_table_column((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 15, 2, 109, 1, 1, 1, 4), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2, 3, 4, 5))).clone(namedValues=named_values(('none', 1), ('odd', 2), ('even', 3), ('mark', 4), ('space', 5))).clone('none')).setMaxAccess('readwrite') if mibBuilder.loadTexts: hpnicfRS485Parity.setStatus('current') if mibBuilder.loadTexts: hpnicfRS485Parity.setDescription("The port's sense of a character parity bit.") hpnicf_rs485_stop_bits = mib_table_column((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 15, 2, 109, 1, 1, 1, 5), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2, 3))).clone(namedValues=named_values(('one', 1), ('two', 2), ('oneAndHalf', 3))).clone('one')).setUnits('bit').setMaxAccess('readwrite') if mibBuilder.loadTexts: hpnicfRS485StopBits.setStatus('current') if mibBuilder.loadTexts: hpnicfRS485StopBits.setDescription("The port's number of stop bits.") hpnicf_rs485_flow_control = mib_table_column((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 15, 2, 109, 1, 1, 1, 6), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2, 3))).clone(namedValues=named_values(('none', 1), ('hardware', 2), ('xonOrxoff', 3))).clone('none')).setMaxAccess('readwrite') if mibBuilder.loadTexts: hpnicfRS485FlowControl.setStatus('current') if mibBuilder.loadTexts: hpnicfRS485FlowControl.setDescription("The port's type of input flow control. 'none' indicates no flow control at this level. 'hardware' indicates use of hardware signals. 'xonOrxoff' indicates use of software function.") hpnicf_rs485_tx_characters = mib_table_column((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 15, 2, 109, 1, 1, 1, 7), integer32()).setMaxAccess('readonly') if mibBuilder.loadTexts: hpnicfRS485TXCharacters.setStatus('current') if mibBuilder.loadTexts: hpnicfRS485TXCharacters.setDescription('The number of output characters for the port.') hpnicf_rs485_rx_characters = mib_table_column((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 15, 2, 109, 1, 1, 1, 8), integer32()).setMaxAccess('readonly') if mibBuilder.loadTexts: hpnicfRS485RXCharacters.setStatus('current') if mibBuilder.loadTexts: hpnicfRS485RXCharacters.setDescription('The number of input characters for the port.') hpnicf_rs485_tx_err_characters = mib_table_column((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 15, 2, 109, 1, 1, 1, 9), integer32()).setMaxAccess('readonly') if mibBuilder.loadTexts: hpnicfRS485TXErrCharacters.setStatus('current') if mibBuilder.loadTexts: hpnicfRS485TXErrCharacters.setDescription('The number of output error characters for the port.') hpnicf_rs485_rx_err_characters = mib_table_column((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 15, 2, 109, 1, 1, 1, 10), integer32()).setMaxAccess('readonly') if mibBuilder.loadTexts: hpnicfRS485RXErrCharacters.setStatus('current') if mibBuilder.loadTexts: hpnicfRS485RXErrCharacters.setDescription('The number of input error characters for the port.') hpnicf_rs485_reset_characters = mib_table_column((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 15, 2, 109, 1, 1, 1, 11), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2))).clone(namedValues=named_values(('counting', 1), ('clear', 2))).clone('counting')).setMaxAccess('readwrite') if mibBuilder.loadTexts: hpnicfRS485ResetCharacters.setStatus('current') if mibBuilder.loadTexts: hpnicfRS485ResetCharacters.setDescription('Reset the counters to zero, inlucding hpnicfRS485TXCharacters, hpnicfRS485RXCharacters, hpnicfRS485TXErrCharacters and hpnicfRS485RXErrCharacters.') hpnicf_rs485_raw_sessions = mib_identifier((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 15, 2, 109, 2)) hpnicf_rs485_raw_session_summary = mib_identifier((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 15, 2, 109, 2, 1)) hpnicf_rs485_raw_session_max_num = mib_scalar((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 15, 2, 109, 2, 1, 1), integer32().subtype(subtypeSpec=value_range_constraint(1, 64))).setMaxAccess('readonly') if mibBuilder.loadTexts: hpnicfRS485RawSessionMaxNum.setStatus('current') if mibBuilder.loadTexts: hpnicfRS485RawSessionMaxNum.setDescription('The max number of raw sessions what we can support.') hpnicf_rs485_raw_session_table = mib_table((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 15, 2, 109, 2, 2)) if mibBuilder.loadTexts: hpnicfRS485RawSessionTable.setStatus('current') if mibBuilder.loadTexts: hpnicfRS485RawSessionTable.setDescription('RS485 raw session table. Data recieved from rs485 will be sent to the destination by raw sockets.') hpnicf_rs485_raw_session_entry = mib_table_row((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 15, 2, 109, 2, 2, 1)).setIndexNames((0, 'IF-MIB', 'ifIndex'), (0, 'HPN-ICF-RS485-MIB', 'hpnicfRS485SessionIndex')) if mibBuilder.loadTexts: hpnicfRS485RawSessionEntry.setStatus('current') if mibBuilder.loadTexts: hpnicfRS485RawSessionEntry.setDescription('Parameters of a session, including remote IP address, remote port, local port, and so on.') hpnicf_rs485_session_index = mib_table_column((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 15, 2, 109, 2, 2, 1, 1), integer32().subtype(subtypeSpec=value_range_constraint(1, 64))) if mibBuilder.loadTexts: hpnicfRS485SessionIndex.setStatus('current') if mibBuilder.loadTexts: hpnicfRS485SessionIndex.setDescription('Raw session index.') hpnicf_rs485_session_type = mib_table_column((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 15, 2, 109, 2, 2, 1, 2), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2, 3))).clone(namedValues=named_values(('udp', 1), ('tcpClient', 2), ('tcpServer', 3)))).setMaxAccess('readwrite') if mibBuilder.loadTexts: hpnicfRS485SessionType.setStatus('current') if mibBuilder.loadTexts: hpnicfRS485SessionType.setDescription('The type of a session. A session can use UDP socket, TCP socket as a client, or TCP socket as a server.') hpnicf_rs485_session_add_type = mib_table_column((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 15, 2, 109, 2, 2, 1, 3), inet_address_type().clone('ipv4')).setMaxAccess('readwrite') if mibBuilder.loadTexts: hpnicfRS485SessionAddType.setStatus('current') if mibBuilder.loadTexts: hpnicfRS485SessionAddType.setDescription('This object indicates the transport type of the address contained in hpnicfRS485SessionRemoteIP object.') hpnicf_rs485_session_remote_ip = mib_table_column((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 15, 2, 109, 2, 2, 1, 4), inet_address()).setMaxAccess('readcreate') if mibBuilder.loadTexts: hpnicfRS485SessionRemoteIP.setStatus('current') if mibBuilder.loadTexts: hpnicfRS485SessionRemoteIP.setDescription("The IP of remote entry. When session type is 'udp', this is the IP of the peer. When session type is 'tcpClient', this is the IP of the server . When session type is 'tcpServer', this is invalid, it will return 0. ") hpnicf_rs485_session_remote_port = mib_table_column((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 15, 2, 109, 2, 2, 1, 5), integer32().subtype(subtypeSpec=value_range_constraint(1024, 65535))).setMaxAccess('readcreate') if mibBuilder.loadTexts: hpnicfRS485SessionRemotePort.setStatus('current') if mibBuilder.loadTexts: hpnicfRS485SessionRemotePort.setDescription("The port of remote entry. When session type is 'udp', this is port of the peer. When session type is 'tcpClient', this is the port of the server. When session type is 'tcpServer', this is invalid, it will return 0. ") hpnicf_rs485_session_local_port = mib_table_column((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 15, 2, 109, 2, 2, 1, 6), integer32().subtype(subtypeSpec=value_range_constraint(1024, 65535))).setMaxAccess('readcreate') if mibBuilder.loadTexts: hpnicfRS485SessionLocalPort.setStatus('current') if mibBuilder.loadTexts: hpnicfRS485SessionLocalPort.setDescription("Local socket port. When session type is 'udp', this is local UDP socket port. When session type is 'tcpClient', this is invalid, it will return 0. When session type is 'tcpServer', this is the local port which will be listened. ") hpnicf_rs485_session_status = mib_table_column((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 15, 2, 109, 2, 2, 1, 7), row_status()).setMaxAccess('readcreate') if mibBuilder.loadTexts: hpnicfRS485SessionStatus.setStatus('current') if mibBuilder.loadTexts: hpnicfRS485SessionStatus.setDescription('The status column used for creating, modifying, and deleting instances of the columnar objects in raw session table.') hpnicf_rs485_raw_session_err_info_table = mib_table((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 15, 2, 109, 2, 3)) if mibBuilder.loadTexts: hpnicfRS485RawSessionErrInfoTable.setStatus('current') if mibBuilder.loadTexts: hpnicfRS485RawSessionErrInfoTable.setDescription('Error infomation table. It is fail to create a session, management station can get infomation from this table.') hpnicf_rs485_raw_session_err_info_entry = mib_table_row((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 15, 2, 109, 2, 3, 1)).setIndexNames((0, 'IF-MIB', 'ifIndex'), (0, 'HPN-ICF-RS485-MIB', 'hpnicfRS485SessionIndex')) if mibBuilder.loadTexts: hpnicfRS485RawSessionErrInfoEntry.setStatus('current') if mibBuilder.loadTexts: hpnicfRS485RawSessionErrInfoEntry.setDescription('Error infomaition.') hpnicf_rs485_raw_session_err_info = mib_table_column((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 15, 2, 109, 2, 3, 1, 1), display_string()).setMaxAccess('readonly') if mibBuilder.loadTexts: hpnicfRS485RawSessionErrInfo.setStatus('current') if mibBuilder.loadTexts: hpnicfRS485RawSessionErrInfo.setDescription("Error infomation string. When a response with 'noCreeation' for row creation in table hpnicfRS485RawSessionTable, the management station should display this string to users, thus users can konw the reason.") mibBuilder.exportSymbols('HPN-ICF-RS485-MIB', hpnicfRS485RawSessionSummary=hpnicfRS485RawSessionSummary, hpnicfRS485RawSessionMaxNum=hpnicfRS485RawSessionMaxNum, hpnicfRS485SessionRemotePort=hpnicfRS485SessionRemotePort, hpnicfRS485SessionLocalPort=hpnicfRS485SessionLocalPort, hpnicfRS485TXErrCharacters=hpnicfRS485TXErrCharacters, hpnicfRS485StopBits=hpnicfRS485StopBits, hpnicfRS485PropertiesEntry=hpnicfRS485PropertiesEntry, hpnicfRS485SessionIndex=hpnicfRS485SessionIndex, hpnicfRS485RXCharacters=hpnicfRS485RXCharacters, hpnicfRS485SessionRemoteIP=hpnicfRS485SessionRemoteIP, hpnicfRS485RawSessionErrInfoTable=hpnicfRS485RawSessionErrInfoTable, hpnicfRS485RawSessionErrInfoEntry=hpnicfRS485RawSessionErrInfoEntry, hpnicfRS485Properties=hpnicfRS485Properties, hpnicfRS485FlowControl=hpnicfRS485FlowControl, hpnicfRS485SessionStatus=hpnicfRS485SessionStatus, hpnicfRS485SessionAddType=hpnicfRS485SessionAddType, hpnicfRS485=hpnicfRS485, hpnicfRS485Parity=hpnicfRS485Parity, hpnicfRS485RXErrCharacters=hpnicfRS485RXErrCharacters, hpnicfRS485RawSessionTable=hpnicfRS485RawSessionTable, hpnicfRS485RawSessionNextIndex=hpnicfRS485RawSessionNextIndex, hpnicfRS485RawSessionEntry=hpnicfRS485RawSessionEntry, hpnicfRS485RawSessionErrInfo=hpnicfRS485RawSessionErrInfo, hpnicfRS485DataBits=hpnicfRS485DataBits, PYSNMP_MODULE_ID=hpnicfRS485, hpnicfRS485ResetCharacters=hpnicfRS485ResetCharacters, hpnicfRS485BaudRate=hpnicfRS485BaudRate, hpnicfRS485RawSessions=hpnicfRS485RawSessions, hpnicfRS485PropertiesTable=hpnicfRS485PropertiesTable, hpnicfRS485TXCharacters=hpnicfRS485TXCharacters, hpnicfRS485SessionType=hpnicfRS485SessionType)
# https://leetcode.com/problems/lru-cache/# class Node: def __init__(self, value): self.value = value self.next = None self.prev = None def __repr__(self): if not self: return "{}()".format(self.__class__.__name__) return "{}({})".format(self.__class__.__name__, self.value) class LinkedList: def __init__(self, iterable=None): self.sentinel = Node(None) # at the top next left self.sentinel.next = self.sentinel # at the top previous right self.sentinel.prev = self.sentinel self.__len = 0 if iterable is not None: self += iterable def get_node(self, index): node = self.sentinel i = 0 while i <= index: node = node.next if node == self.sentinel: break i += 1 if node == self.sentinel: node = None return node def __getitem__(self, index): node = self.get_node(index) return node.value def __len__(self): return self.__len def __setitem__(self, index, value): node = self.get_node(index) node.value = value def __delitem__(self, index): node = self.get_node(index) self.del_node(node) def del_node(self, node): if node: node.prev.next = node.next if node.next: node.next.prev = node.prev node.prev = None node.next = None node.value = None self.__len -= 1 def __repr__(self): return str(self.to_list()) def to_list(self): elts = [] curr = self.sentinel.next while curr != self.sentinel: elts.append(curr.value) curr = curr.next return elts def append(self, value): node = Node(value) self.insert_between(node, self.sentinel.prev, self.sentinel) def appendleft(self, value): node = Node(value) self.insert_between(node, self.sentinel, self.sentinel.next) return node def insert(self, index, value): new_node = Node(value) len_ = len(self) if len_ == 0: self.insert_between(new_node, self.sentinel, self.sentinel) elif index >= 0 and index < len_: node = self.get_node(index) self.insert_between(new_node, node.prev, node) elif index == len_: self.insert_between(new_node, self.sentinel.prev, self.sentinel) else: raise IndexError self.__len += 1 def insert_between(self, node, left_node, right_node): if node and left_node and right_node: node.prev = left_node node.next = right_node left_node.next = node right_node.prev = node else: raise IndexError def merge_left(self, other): self.sentinel.next.prev = other.sentinel.prev other.sentinel.prev.next = self.sentinel.next self.sentinel.next = other.sentinel.next self.sentinel.next.prev = self.sentinel def merge_right(self, other): self.sentinel.prev.next = other.sentinel.next other.sentinel.next.prev = self.sentinel.prev self.sentinel.prev = other.sentinel.prev self.sentinel.prev.next = self.sentinel def pop_node(self): value = self.sentinel.prev.value self.del_node(self.sentinel.prev) return value class LRUCache: def __init__(self, capacity: int): self.access = {} self.data = LinkedList() self.capacity = capacity def get(self, key: int) -> int: if key in self.access: node = self.access[key] value_pair = node.value self.data.del_node(node) self.access[key] = self.data.appendleft(value_pair) return value_pair[1] else: return -1 def put(self, key: int, value: int) -> None: if not key in self.access and len(self.access) == self.capacity: remove_node_value = self.data.pop_node() del self.access[remove_node_value[0]] if key in self.access: node = self.access[key] self.data.del_node(node) self.access[key] = self.data.appendleft((key, value)) # lRUCache = LRUCache(2) # lRUCache.put(1, 1) # cache is {1=1} # lRUCache.put(2, 2) # cache is {1=1, 2=2} # # lRUCache.put(3, 3) # cache is {1=1, 2=2} # # lRUCache.put(4, 4) # cache is {1=1, 2=2} # print(lRUCache.get(1)) # return 1 # lRUCache.put(3, 3) # LRU key was 2, evicts key 2, cache is {1=1, 3=3} # print(lRUCache.get(2)) # returns -1 (not found) # lRUCache.put(4, 4) # LRU key was 1, evicts key 1, cache is {4=4, 3=3} # print(lRUCache.get(1)) # return -1 (not found) # print(lRUCache.get(3)) # return 3 # print(lRUCache.get(4)) # return 4 # # # ["LRUCache","put","put","get","put","get","get"] # [[2],[2,1],[1,1],[2],[4,1],[1],[2]] # lRUCache = LRUCache(2) # lRUCache.put(2,1) # lRUCache.put(1,1) # print(lRUCache.get(2)) # lRUCache.put(4,1) # print(lRUCache.get(1)) # print(lRUCache.get(2))
class Node: def __init__(self, value): self.value = value self.next = None self.prev = None def __repr__(self): if not self: return '{}()'.format(self.__class__.__name__) return '{}({})'.format(self.__class__.__name__, self.value) class Linkedlist: def __init__(self, iterable=None): self.sentinel = node(None) self.sentinel.next = self.sentinel self.sentinel.prev = self.sentinel self.__len = 0 if iterable is not None: self += iterable def get_node(self, index): node = self.sentinel i = 0 while i <= index: node = node.next if node == self.sentinel: break i += 1 if node == self.sentinel: node = None return node def __getitem__(self, index): node = self.get_node(index) return node.value def __len__(self): return self.__len def __setitem__(self, index, value): node = self.get_node(index) node.value = value def __delitem__(self, index): node = self.get_node(index) self.del_node(node) def del_node(self, node): if node: node.prev.next = node.next if node.next: node.next.prev = node.prev node.prev = None node.next = None node.value = None self.__len -= 1 def __repr__(self): return str(self.to_list()) def to_list(self): elts = [] curr = self.sentinel.next while curr != self.sentinel: elts.append(curr.value) curr = curr.next return elts def append(self, value): node = node(value) self.insert_between(node, self.sentinel.prev, self.sentinel) def appendleft(self, value): node = node(value) self.insert_between(node, self.sentinel, self.sentinel.next) return node def insert(self, index, value): new_node = node(value) len_ = len(self) if len_ == 0: self.insert_between(new_node, self.sentinel, self.sentinel) elif index >= 0 and index < len_: node = self.get_node(index) self.insert_between(new_node, node.prev, node) elif index == len_: self.insert_between(new_node, self.sentinel.prev, self.sentinel) else: raise IndexError self.__len += 1 def insert_between(self, node, left_node, right_node): if node and left_node and right_node: node.prev = left_node node.next = right_node left_node.next = node right_node.prev = node else: raise IndexError def merge_left(self, other): self.sentinel.next.prev = other.sentinel.prev other.sentinel.prev.next = self.sentinel.next self.sentinel.next = other.sentinel.next self.sentinel.next.prev = self.sentinel def merge_right(self, other): self.sentinel.prev.next = other.sentinel.next other.sentinel.next.prev = self.sentinel.prev self.sentinel.prev = other.sentinel.prev self.sentinel.prev.next = self.sentinel def pop_node(self): value = self.sentinel.prev.value self.del_node(self.sentinel.prev) return value class Lrucache: def __init__(self, capacity: int): self.access = {} self.data = linked_list() self.capacity = capacity def get(self, key: int) -> int: if key in self.access: node = self.access[key] value_pair = node.value self.data.del_node(node) self.access[key] = self.data.appendleft(value_pair) return value_pair[1] else: return -1 def put(self, key: int, value: int) -> None: if not key in self.access and len(self.access) == self.capacity: remove_node_value = self.data.pop_node() del self.access[remove_node_value[0]] if key in self.access: node = self.access[key] self.data.del_node(node) self.access[key] = self.data.appendleft((key, value))
information = { "site_title": "News Room", "site_short_name" : "News Room", "site_name" : "News Room", "site_motto" : "Get news anywhere", "site_url" : "https://github.com/arsho", "site_phone" : "+8801731246426", "site_email" : "shovon.sylhet@gmail.com", "site_year" : "2017", "site_admin_name" : "Admin", "site_admin_location": "Dhaka", "developer_company" : "", "developer_name" : "Ahmedur Rahman Shovon", "developer_url" : "https://github.com/arsho", "developer_phone" : "+8801731246426", "developer_email" : "shovon.sylhet@gmail.com", "page_header": "", "page_description": "" }
information = {'site_title': 'News Room', 'site_short_name': 'News Room', 'site_name': 'News Room', 'site_motto': 'Get news anywhere', 'site_url': 'https://github.com/arsho', 'site_phone': '+8801731246426', 'site_email': 'shovon.sylhet@gmail.com', 'site_year': '2017', 'site_admin_name': 'Admin', 'site_admin_location': 'Dhaka', 'developer_company': '', 'developer_name': 'Ahmedur Rahman Shovon', 'developer_url': 'https://github.com/arsho', 'developer_phone': '+8801731246426', 'developer_email': 'shovon.sylhet@gmail.com', 'page_header': '', 'page_description': ''}
def designer_mat1(val, sep, txt): c = sep t = txt for i in range(m // n): print((c * i).rjust(n + 2, "-") + c + (c * i).ljust(n + 2, "-")) print("".rjust(n, "-") + t + "".ljust(n, "-")) for i in range(m // n - 1, -1, -1): print((c * i).rjust(n + 2, "-") + c + (c * i).ljust(n + 2, "-")) def designer_mat2(val, sep, txt): c = sep t = txt N, M = map(int, val.split()) for i in range(1, N, 2): print((c * i).center(M, '-')) print(t.center(M, '-')) for i in range(N - 2, -1, -2): print((c * i).center(M, '-')) n = 9 m = 21 c = ".|." t = "WELCOME" designer_mat1(f"{n} {m}", c, t) designer_mat2(f"{n} {m}", c, t)
def designer_mat1(val, sep, txt): c = sep t = txt for i in range(m // n): print((c * i).rjust(n + 2, '-') + c + (c * i).ljust(n + 2, '-')) print(''.rjust(n, '-') + t + ''.ljust(n, '-')) for i in range(m // n - 1, -1, -1): print((c * i).rjust(n + 2, '-') + c + (c * i).ljust(n + 2, '-')) def designer_mat2(val, sep, txt): c = sep t = txt (n, m) = map(int, val.split()) for i in range(1, N, 2): print((c * i).center(M, '-')) print(t.center(M, '-')) for i in range(N - 2, -1, -2): print((c * i).center(M, '-')) n = 9 m = 21 c = '.|.' t = 'WELCOME' designer_mat1(f'{n} {m}', c, t) designer_mat2(f'{n} {m}', c, t)
#! /usr/bin/python # -*- coding iso-8859-15 # Entero INT / LONG a="cadena1" b="cadena2" c=a+b print (a) print (b) print (c)
a = 'cadena1' b = 'cadena2' c = a + b print(a) print(b) print(c)
''' Implement a stack class with a max API Notes: * * what went right * remembered pattern of storing max values in a separate stack * bugs * forgot to check for size of max stack before checking top element ''' class Stack(object): def __init__(self): self.arr = [] self.max_arr = [] def push(self, el): self.arr.append(el) if len(self.max_arr) == 0 or self.max_arr[-1] <= el: self.max_arr.append(el) def pop(self): ret = self.arr.pop() if len(self.max_arr) > 0 and self.max_arr[-1] == ret: self.max_arr.pop() return ret def max(self): return self.max_arr[-1] if __name__ == '__main__': test_cases = [ [1,2,10,5,4,11], [1,2,12,5,4,11], [1,11,10,2,11], [1] ] for i, t in enumerate(test_cases): s = Stack() print('Test case', i) for el in t: s.push(el) print(el, s.max_arr, s.max())
""" Implement a stack class with a max API Notes: * * what went right * remembered pattern of storing max values in a separate stack * bugs * forgot to check for size of max stack before checking top element """ class Stack(object): def __init__(self): self.arr = [] self.max_arr = [] def push(self, el): self.arr.append(el) if len(self.max_arr) == 0 or self.max_arr[-1] <= el: self.max_arr.append(el) def pop(self): ret = self.arr.pop() if len(self.max_arr) > 0 and self.max_arr[-1] == ret: self.max_arr.pop() return ret def max(self): return self.max_arr[-1] if __name__ == '__main__': test_cases = [[1, 2, 10, 5, 4, 11], [1, 2, 12, 5, 4, 11], [1, 11, 10, 2, 11], [1]] for (i, t) in enumerate(test_cases): s = stack() print('Test case', i) for el in t: s.push(el) print(el, s.max_arr, s.max())
def sample_list(lst, iter_): return [[lst[i] for i in it] for it in iter_] # Return a list of all pairs of elements in a list, excluding flips. def iter_g_2D(n): assert n >= 2 for i in range(n): for j in range(i + 1, n): yield i, j def iter_gg_3D(n): assert n >= 3 for i in range(n): for j in range(i + 1, n): for k in range(j + 1, n): yield i, j, k def iter_gn_3D(n): assert n >= 3 for i in range(n): for j in range(i + 1, n): for k in range(n): if (k != i) and (k != j): yield i, j, k def iter_ggn_4D(n): assert n >= 4 for i in range(n): for j in range(i + 1, n): for k in range(j + 1, n): for l in range(n): if (l != i) and (l != j) and (l != k): yield i, j, k, l
def sample_list(lst, iter_): return [[lst[i] for i in it] for it in iter_] def iter_g_2_d(n): assert n >= 2 for i in range(n): for j in range(i + 1, n): yield (i, j) def iter_gg_3_d(n): assert n >= 3 for i in range(n): for j in range(i + 1, n): for k in range(j + 1, n): yield (i, j, k) def iter_gn_3_d(n): assert n >= 3 for i in range(n): for j in range(i + 1, n): for k in range(n): if k != i and k != j: yield (i, j, k) def iter_ggn_4_d(n): assert n >= 4 for i in range(n): for j in range(i + 1, n): for k in range(j + 1, n): for l in range(n): if l != i and l != j and (l != k): yield (i, j, k, l)
def is_numeric(line: str) -> bool: try: float(line) except: return False else: return True
def is_numeric(line: str) -> bool: try: float(line) except: return False else: return True
#!/usr/bin/env python3 def GenerateEOLTable(): table = [0] * 16 table[ord('\n')] = 1 table[ord('\r')] = 2 line = ', '.join(str(c) for c in table) line = line + ', // %02X - %02X' % (0, 15) print('EOLTable:', line) if __name__ == '__main__': GenerateEOLTable()
def generate_eol_table(): table = [0] * 16 table[ord('\n')] = 1 table[ord('\r')] = 2 line = ', '.join((str(c) for c in table)) line = line + ', // %02X - %02X' % (0, 15) print('EOLTable:', line) if __name__ == '__main__': generate_eol_table()
def for_I(): for row in range(7): for col in range(5): if (col==2) or (row==0 or row==6): print("*",end=" ") else: print(end=" ") print() def while_I(): i=0 while i<7: j=0 while j<5: if (j==2) or (i==0 or i==6): print("*",end=" ") else: print(end=" ") j+=1 i+=1 print()
def for_i(): for row in range(7): for col in range(5): if col == 2 or (row == 0 or row == 6): print('*', end=' ') else: print(end=' ') print() def while_i(): i = 0 while i < 7: j = 0 while j < 5: if j == 2 or (i == 0 or i == 6): print('*', end=' ') else: print(end=' ') j += 1 i += 1 print()
#!/usr/bin/python # -*- coding: utf-8 -*- #this is a comment print('Hello World!') #English
print('Hello World!')
# General NAME = 'router' VERSION = '0.0.0' # Files RIDERS_FILE = '{input_dir}/riders.json' VEHICLES_FILE = '{input_dir}/vehicles.json' DEPOTS_FILE = '{input_dir}/depots.json' PARAMS_FILE = '{input_dir}/params.json' ROUTES_FILE = '{output_dir}/routes.json'
name = 'router' version = '0.0.0' riders_file = '{input_dir}/riders.json' vehicles_file = '{input_dir}/vehicles.json' depots_file = '{input_dir}/depots.json' params_file = '{input_dir}/params.json' routes_file = '{output_dir}/routes.json'
# Computes the amount of days of a number of years years = int(input("years : ")) print(f"\ndays : {years * 365}")
years = int(input('years : ')) print(f'\ndays : {years * 365}')
#script to count digits in a given no. print("enter the value of n") n=int(input()) count=0 while(n!=0): n=n//10 count+=1 print(count)
print('enter the value of n') n = int(input()) count = 0 while n != 0: n = n // 10 count += 1 print(count)
start_rule_qualified_type = "Lua_construct.block" def rename_type(x: str): if x[0].isupper(): return x.capitalize() if x == "token": return "tbnf_token" return x def rename_var(x: str): if x[0].isupper(): return "mk_" + x return x
start_rule_qualified_type = 'Lua_construct.block' def rename_type(x: str): if x[0].isupper(): return x.capitalize() if x == 'token': return 'tbnf_token' return x def rename_var(x: str): if x[0].isupper(): return 'mk_' + x return x
class Item(object): def __init__(self, item: dict): self.id = item.get('id') self.order_id = item.get('order_id') self.quantity = item.get('quantity') self.sale_price = item.get('sale_price') self.complements = item.get('complements') self.product = item.get('product')
class Item(object): def __init__(self, item: dict): self.id = item.get('id') self.order_id = item.get('order_id') self.quantity = item.get('quantity') self.sale_price = item.get('sale_price') self.complements = item.get('complements') self.product = item.get('product')
lineList = list() with open('H:\\q2.txt') as f: for line in f: lineList.append(int(line.rstrip('\n'))) print(sum(lineList))
line_list = list() with open('H:\\q2.txt') as f: for line in f: lineList.append(int(line.rstrip('\n'))) print(sum(lineList))
# Do not edit this file directly. # It was auto-generated by: code/programs/reflexivity/reflexive_refresh load("@bazel_tools//tools/build_defs/repo:http.bzl", "http_archive") load("@bazel_tools//tools/build_defs/repo:http.bzl", "http_file") def tomlplusplus(): http_archive( name = "tomlplusplus", build_file = "//bazel/deps/tomlplusplus:build.BUILD", sha256 = "a522eaa80a33d8c457a0b9cb3509f2e7c7a61d8e102f3c14696d5a7606a4e874", strip_prefix = "tomlplusplus-983e22978e8792f6248695047ad7cb892c112e18", urls = [ "https://github.com/Unilang/tomlplusplus/archive/983e22978e8792f6248695047ad7cb892c112e18.tar.gz", ], )
load('@bazel_tools//tools/build_defs/repo:http.bzl', 'http_archive') load('@bazel_tools//tools/build_defs/repo:http.bzl', 'http_file') def tomlplusplus(): http_archive(name='tomlplusplus', build_file='//bazel/deps/tomlplusplus:build.BUILD', sha256='a522eaa80a33d8c457a0b9cb3509f2e7c7a61d8e102f3c14696d5a7606a4e874', strip_prefix='tomlplusplus-983e22978e8792f6248695047ad7cb892c112e18', urls=['https://github.com/Unilang/tomlplusplus/archive/983e22978e8792f6248695047ad7cb892c112e18.tar.gz'])
# -*- coding: utf-8 -*- { 'host' : 'code.google.com', 'user' : 'your-name-here@gmail.com', 'data_directory' : './source', 'input_name_format' : '{problem}-{input}-{id}.in', 'output_name_format' : '{problem}-{input}-{id}.out', 'source_names_format' : [], }
{'host': 'code.google.com', 'user': 'your-name-here@gmail.com', 'data_directory': './source', 'input_name_format': '{problem}-{input}-{id}.in', 'output_name_format': '{problem}-{input}-{id}.out', 'source_names_format': []}
#!/usr/bin/env python3 def beolvas(file): pontszamok = [] with open(file, "rt") as f: for sor in f: try: pontszamok.append(int(sor.rstrip("\n"))) except ValueError: pass return pontszamok def main(): print(beolvas("7_kzh_pontszam_hibas.txt")) main()
def beolvas(file): pontszamok = [] with open(file, 'rt') as f: for sor in f: try: pontszamok.append(int(sor.rstrip('\n'))) except ValueError: pass return pontszamok def main(): print(beolvas('7_kzh_pontszam_hibas.txt')) main()
#!/usr/bin/env python __author__ = "Peter Maxwell" __copyright__ = "Copyright 2007-2020, The Cogent Project" __credits__ = ["Peter Maxwell", "Gavin Huttley"] __license__ = "BSD-3" __version__ = "2020.2.7a" __maintainer__ = "Peter Maxwell" __email__ = "pm67nz@gmail.com" __status__ = "Production" def PamlParser(f): d = f.readline().split() numseqs, seqlen = int(d[0]), int(d[1]) for i in range(numseqs): seqname = f.readline().strip() if not seqname: raise ValueError("Sequence name missing") currseq = [] length = 0 while length < seqlen: seq_line = f.readline() if not seq_line: raise ValueError( 'Sequence "%s" is short: %s < %s' % (seqname, length, seqlen) ) seq_line = seq_line.strip() length += len(seq_line) currseq.append(seq_line) yield (seqname, "".join(currseq))
__author__ = 'Peter Maxwell' __copyright__ = 'Copyright 2007-2020, The Cogent Project' __credits__ = ['Peter Maxwell', 'Gavin Huttley'] __license__ = 'BSD-3' __version__ = '2020.2.7a' __maintainer__ = 'Peter Maxwell' __email__ = 'pm67nz@gmail.com' __status__ = 'Production' def paml_parser(f): d = f.readline().split() (numseqs, seqlen) = (int(d[0]), int(d[1])) for i in range(numseqs): seqname = f.readline().strip() if not seqname: raise value_error('Sequence name missing') currseq = [] length = 0 while length < seqlen: seq_line = f.readline() if not seq_line: raise value_error('Sequence "%s" is short: %s < %s' % (seqname, length, seqlen)) seq_line = seq_line.strip() length += len(seq_line) currseq.append(seq_line) yield (seqname, ''.join(currseq))
expected_output = { "client_count": 85, "client_notification_tmr_msec": 240000, "communications": "Up", "manual_swact": "enabled", "mode": "Duplex", "my_state": "13 -ACTIVE", "peer_state": "8 -STANDBY HOT", "redundancy_mode_configured": "Stateful Switchover", "redundancy_mode_operational": "Stateful Switchover", "redundancy_state": "Stateful Switchover", "rf_debug_mask": "0", "unit": "Primary", "unit_id": 1 }
expected_output = {'client_count': 85, 'client_notification_tmr_msec': 240000, 'communications': 'Up', 'manual_swact': 'enabled', 'mode': 'Duplex', 'my_state': '13 -ACTIVE', 'peer_state': '8 -STANDBY HOT', 'redundancy_mode_configured': 'Stateful Switchover', 'redundancy_mode_operational': 'Stateful Switchover', 'redundancy_state': 'Stateful Switchover', 'rf_debug_mask': '0', 'unit': 'Primary', 'unit_id': 1}
# Handling outliers which can cause issues when working with transformed time series data def replace_outliers(series): # Calculate the absolute difference of each timepoint from the series mean absolute_differences_from_mean = np.abs(series - np.mean(series)) # Calculate a mask for the differences that are > 3 standard deviations from zero this_mask = absolute_differences_from_mean > (np.std(series) * 3) # Replace these values with the median accross the data - this median method works well since there might be nans around the outlier values series[this_mask] = np.nanmedian(series) return series # Apply your preprocessing function to the timeseries and plot the results prices_perc = prices_perc.apply(replace_outliers) prices_perc.loc["2014":"2015"].plot() plt.show()
def replace_outliers(series): absolute_differences_from_mean = np.abs(series - np.mean(series)) this_mask = absolute_differences_from_mean > np.std(series) * 3 series[this_mask] = np.nanmedian(series) return series prices_perc = prices_perc.apply(replace_outliers) prices_perc.loc['2014':'2015'].plot() plt.show()
class MetaConstants(object): NUM_BUCKETS = "num_buckets" NUM_SCOPES_PER_BUCKET = "num_scopes_per_bucket" NUM_COLLECTIONS_PER_SCOPE = "num_collections_per_scope" NUM_ITEMS_PER_COLLECTION = "num_items" REMOVE_DEFAULT_COLLECTION = "remove_default_collection" CREATE_COLLECTIONS_USING_MANIFEST_IMPORT = \ "create_collections_using_manifest_import" BUCKET_TAR_DIR = "bucket_tar_dir" BUCKET_TAR_SRC = "bucket_tar_src" @staticmethod def get_params(): param_list = list() for param, value in vars(MetaConstants).items(): if not (param.startswith("_") or callable(getattr(MetaConstants, param))): param_list.append(value) return param_list class MetaCrudParams(object): COLLECTIONS_TO_FLUSH = "collections_to_flush" COLLECTIONS_TO_DROP = "collections_to_drop" COLLECTIONS_TO_DROP_AND_RECREATE = "collections_to_drop_and_recreate" SCOPES_TO_DROP = "scopes_to_drop" SCOPES_TO_ADD_PER_BUCKET = "scopes_to_add_per_bucket" COLLECTIONS_TO_ADD_FOR_NEW_SCOPES = "collections_to_add_for_new_scopes" COLLECTIONS_TO_ADD_PER_BUCKET = "collections_to_add_per_bucket" SCOPES_TO_RECREATE = "scopes_to_recreate" COLLECTIONS_TO_RECREATE = "collections_to_recreate" BUCKET_CONSIDERED_FOR_OPS = "buckets_considered_for_ops" SCOPES_CONSIDERED_FOR_OPS = "scopes_considered_for_ops" COLLECTIONS_CONSIDERED_FOR_OPS = "collections_considered_for_ops" DOC_GEN_TYPE = "doc_gen_type" class DocCrud(object): NUM_ITEMS_FOR_NEW_COLLECTIONS = "num_items_for_new_collections" CREATE_PERCENTAGE_PER_COLLECTION = "create_percentage_per_collection" READ_PERCENTAGE_PER_COLLECTION = "read_percentage_per_collection" UPDATE_PERCENTAGE_PER_COLLECTION = "update_percentage_per_collection" REPLACE_PERCENTAGE_PER_COLLECTION = "replace_percentage_per_collection" DELETE_PERCENTAGE_PER_COLLECTION = "delete_percentage_per_collection" TOUCH_PERCENTAGE_PER_COLLECTION = "touch_percentage_per_collection" # Doc loading options supported COMMON_DOC_KEY = "doc_key" DOC_KEY_SIZE = "doc_key_size" DOC_SIZE = "doc_size" RANDOMIZE_VALUE = "randomize_value" class SubDocCrud(object): XATTR_TEST = "xattr_test" INSERT_PER_COLLECTION = "insert_per_collection" UPSERT_PER_COLLECTION = "upsert_per_collection" REMOVE_PER_COLLECTION = "remove_per_collection" LOOKUP_PER_COLLECTION = "lookup_per_collection" # Sub-doc loading option supported SUB_DOC_SIZE = "sub_doc_size" # Doc_loading task options DOC_TTL = "doc_ttl" SDK_TIMEOUT = "sdk_timeout" SDK_TIMEOUT_UNIT = "sdk_timeout_unit" DURABILITY_LEVEL = "durability_level" SKIP_READ_ON_ERROR = "skip_read_on_error" SUPPRESS_ERROR_TABLE = "suppress_error_table" SKIP_READ_SUCCESS_RESULTS = "skip_read_success_results" TARGET_VBUCKETS = "target_vbuckets" RETRY_EXCEPTIONS = "retry_exceptions" IGNORE_EXCEPTIONS = "ignore_exceptions" COLLECTIONS_CONSIDERED_FOR_CRUD = "collections_considered_for_crud" SCOPES_CONSIDERED_FOR_CRUD = "scopes_considers_for_crud" BUCKETS_CONSIDERED_FOR_CRUD = "buckets_considered_for_crud" # Number of threadpool executor workers for scope/collection drops/creates THREADPOOL_MAX_WORKERS = "threadpool_max_workers"
class Metaconstants(object): num_buckets = 'num_buckets' num_scopes_per_bucket = 'num_scopes_per_bucket' num_collections_per_scope = 'num_collections_per_scope' num_items_per_collection = 'num_items' remove_default_collection = 'remove_default_collection' create_collections_using_manifest_import = 'create_collections_using_manifest_import' bucket_tar_dir = 'bucket_tar_dir' bucket_tar_src = 'bucket_tar_src' @staticmethod def get_params(): param_list = list() for (param, value) in vars(MetaConstants).items(): if not (param.startswith('_') or callable(getattr(MetaConstants, param))): param_list.append(value) return param_list class Metacrudparams(object): collections_to_flush = 'collections_to_flush' collections_to_drop = 'collections_to_drop' collections_to_drop_and_recreate = 'collections_to_drop_and_recreate' scopes_to_drop = 'scopes_to_drop' scopes_to_add_per_bucket = 'scopes_to_add_per_bucket' collections_to_add_for_new_scopes = 'collections_to_add_for_new_scopes' collections_to_add_per_bucket = 'collections_to_add_per_bucket' scopes_to_recreate = 'scopes_to_recreate' collections_to_recreate = 'collections_to_recreate' bucket_considered_for_ops = 'buckets_considered_for_ops' scopes_considered_for_ops = 'scopes_considered_for_ops' collections_considered_for_ops = 'collections_considered_for_ops' doc_gen_type = 'doc_gen_type' class Doccrud(object): num_items_for_new_collections = 'num_items_for_new_collections' create_percentage_per_collection = 'create_percentage_per_collection' read_percentage_per_collection = 'read_percentage_per_collection' update_percentage_per_collection = 'update_percentage_per_collection' replace_percentage_per_collection = 'replace_percentage_per_collection' delete_percentage_per_collection = 'delete_percentage_per_collection' touch_percentage_per_collection = 'touch_percentage_per_collection' common_doc_key = 'doc_key' doc_key_size = 'doc_key_size' doc_size = 'doc_size' randomize_value = 'randomize_value' class Subdoccrud(object): xattr_test = 'xattr_test' insert_per_collection = 'insert_per_collection' upsert_per_collection = 'upsert_per_collection' remove_per_collection = 'remove_per_collection' lookup_per_collection = 'lookup_per_collection' sub_doc_size = 'sub_doc_size' doc_ttl = 'doc_ttl' sdk_timeout = 'sdk_timeout' sdk_timeout_unit = 'sdk_timeout_unit' durability_level = 'durability_level' skip_read_on_error = 'skip_read_on_error' suppress_error_table = 'suppress_error_table' skip_read_success_results = 'skip_read_success_results' target_vbuckets = 'target_vbuckets' retry_exceptions = 'retry_exceptions' ignore_exceptions = 'ignore_exceptions' collections_considered_for_crud = 'collections_considered_for_crud' scopes_considered_for_crud = 'scopes_considers_for_crud' buckets_considered_for_crud = 'buckets_considered_for_crud' threadpool_max_workers = 'threadpool_max_workers'
''' constraints ''' class DensityConstraint(object): def __init__(self, volume_frac, density_min = 0, density_max = 1.0): self.volfrac = volume_frac self.xmin = density_min self.xmax = density_max def volume_frac(self): return self.volfrac def density_min(self): return self.xmin def density_max(self): return self.xmax
""" constraints """ class Densityconstraint(object): def __init__(self, volume_frac, density_min=0, density_max=1.0): self.volfrac = volume_frac self.xmin = density_min self.xmax = density_max def volume_frac(self): return self.volfrac def density_min(self): return self.xmin def density_max(self): return self.xmax
#!/usr/bin/python # # core Nagios classes. # class Nagios: '''This class represents the current state of a Nagios installation, as read from the status file that Nagios maintains. ''' def __init__(self, statusfile=None): '''Create a new Nagios state store. One argument, statusfile, is used to indicate where the status file is. This object is intended to be read-only once it has been created. ''' self.info = Info({}) self.program = Program({}) self.hosts = {} self.services = {} self.comments = {} self.downtimes = {} if statusfile is not None: self._update(statusfile) def _update(self, statusfile): '''Read the status file from Nagios and parse it. Responsible for building our internal representation of the tree. ''' # Generator to get the next status stanza. def next_stanza(f): cur = None for line in f: line = line.strip() if line.endswith('{'): if cur is not None: yield cur cur = {'type': line.split(' ', 1)[0]} elif '=' in line: key, val = line.split('=', 1) if key == "performance_data": # performance_data is special performance_data = {} split = val.split(' ') for dat in split: chunks = dat.split(';', 1) if chunks and len(chunks) > 0 and '=' in chunks[0]: (c_key, c_val) = chunks[0].split('=', 1) # convert to int or float if possible try: n_val = float(c_val) if (n_val == int(n_val)): n_val = int(n_val) except ValueError: n_val = c_val performance_data[c_key] = n_val val = performance_data cur[key] = val elif "#" in line: if not line.find("NAGIOS STATE RETENTION FILE"): raise ValueError("You appear to have used the state retention file instead of the status file. Please change your arguments and try again.") if cur is not None: yield cur f = open(statusfile, 'r') for obj in next_stanza(f): host = obj['host_name'] if 'host_name' in obj else None service = obj['service_description'] if 'service_description' in obj else None if obj['type'] == 'hoststatus': self.hosts[host] = Host(obj) elif obj['type'] == 'servicestatus': if host not in self.services: self.services[host] = {} self.services[host][service] = Service(obj) elif obj['type'].endswith('comment'): self.comments[int(obj['comment_id'])] = Comment(obj) elif obj['type'].endswith('downtime'): self.downtimes[int(obj['downtime_id'])] = Downtime(obj) elif obj['type'] == 'info': self.info = Info(obj) elif obj['type'] == 'programstatus': self.program = Program(obj) f.close() for host in self.services: for s in self.services[host].itervalues(): self.host_or_service(host).attach_service(s) for c in self.comments.itervalues(): tmp = self.host_or_service(c.host, c.service) if (tmp is None): # FIXME: throw something? pass else: tmp.attach_comment(c) for d in self.downtimes.itervalues(): self.host_or_service(d.host, d.service).attach_downtime(d) def host_or_service(self, host, service=None): '''Return a Host or Service object for the given host/service combo. Note that Service may be None, in which case we return a Host. ''' if service is not None: try: service = service.encode('utf-8') except: pass if host not in self.hosts: return None if service is None: # Only a Host if they really want it. return self.hosts[host] if host not in self.services or service not in self.services[host]: return None return self.services[host][service] def for_json(self): '''Given a Nagios state object, return a pruned down dict that is ready to be serialized to JSON. ''' out = {} for host in self.hosts: out[host] = self.hosts[host].for_json() return out class NagiosObject: '''A base class that does a little fancy parsing. That's it. ''' def __init__(self, obj): '''Builder for the base.''' for key in obj: self.__dict__[key] = obj[key] self.host = getattr(self, 'host_name', None) self.service = getattr(self, 'service_description', None) self.essential_keys = [] def for_json(self): '''Return a dict of ourselves that is ready to be serialized out to JSON. This only returns the data that we think is essential for any UI to show. ''' obj = {} for key in self.essential_keys: obj[key] = getattr(self, key, None) return obj class Info(NagiosObject): def __init__(self, obj): NagiosObject.__init__(self, obj) self.essential_keys = ['created', 'version', 'last_update_check', 'update_available', 'last_version', 'new_version'] class Program(NagiosObject): def __init__(self, obj): NagiosObject.__init__(self, obj) self.essential_keys = [ 'modified_host_attributes', 'modified_service_attributes', 'nagios_pid', 'daemon_mode', 'program_start', 'last_log_rotation', 'enable_notifications', 'active_service_checks_enabled', 'passive_service_checks_enabled', 'active_host_checks_enabled', 'passive_host_checks_enabled', 'enable_event_handlers', 'obsess_over_services', 'obsess_over_hosts', 'check_service_freshness', 'check_host_freshness', 'enable_flap_detection', 'process_performance_data', 'global_host_event_handle', 'global_service_event_handle', 'next_comment_id', 'next_downtime_id', 'next_event_id', 'next_problem_id', 'next_notification_id', 'active_scheduled_host_check_stats', 'active_ondemand_host_check_stats', 'passive_host_check_stats', 'active_scheduled_service_check_stats', 'active_ondemand_service_check_stats', 'passive_service_check_stats', 'cached_host_check_stats', 'cached_service_check_stats', 'external_command_stats', 'parallel_host_check_stats', 'serial_host_check_stats' ] class HostOrService(NagiosObject): '''Represent a single host or service. ''' def __init__(self, obj): '''Custom build a HostOrService object.''' NagiosObject.__init__(self, obj) self.downtimes = {} self.comments = {} self.essential_keys = ['current_state', 'plugin_output', 'notifications_enabled', 'last_check', 'last_notification', 'active_checks_enabled', 'problem_has_been_acknowledged', 'last_hard_state', 'scheduled_downtime_depth', 'performance_data', 'last_state_change', 'current_attempt', 'max_attempts'] def attach_downtime(self, dt): '''Given a Downtime object, store a record to it for lookup later.''' self.downtimes[dt.downtime_id] = dt def attach_comment(self, cmt): '''Given a Comment object, store a record to it for lookup later.''' self.comments[cmt.comment_id] = cmt class Host(HostOrService): '''Represent a single host. ''' def __init__(self, obj): '''Custom build a Host object.''' HostOrService.__init__(self, obj) self.services = {} def attach_service(self, svc): '''Attach a Service to this Host.''' self.services[svc.service] = svc def for_json(self): '''Represent ourselves and also get attached data.''' obj = NagiosObject.for_json(self) for key in ('services', 'comments', 'downtimes'): obj[key] = {} for idx in self.__dict__[key]: obj[key][idx] = self.__dict__[key][idx].for_json() return obj class Service(HostOrService): '''Represent a single service. ''' def for_json(self): '''Represent ourselves and also get attached data.''' obj = NagiosObject.for_json(self) for key in ('comments', 'downtimes'): obj[key] = {} for idx in self.__dict__[key]: obj[key][idx] = self.__dict__[key][idx].for_json() return obj class Comment(NagiosObject): '''Represent a single comment. ''' def __init__(self, obj): '''Custom build a Comment object.''' NagiosObject.__init__(self, obj) self.essential_keys = ['comment_id', 'entry_type', 'source', 'persistent', 'entry_time', 'expires', 'expire_time', 'author', 'comment_data'] self.comment_id = int(self.comment_id) class Downtime(NagiosObject): '''Represent a single downtime event. ''' def __init__(self, obj): '''Custom build a Downtime object.''' NagiosObject.__init__(self, obj) self.essential_keys = ['downtime_id', 'entry_time', 'start_time', 'end_time', 'triggered_by', 'fixed', 'duration', 'author', 'comment'] self.downtime_id = int(self.downtime_id)
class Nagios: """This class represents the current state of a Nagios installation, as read from the status file that Nagios maintains. """ def __init__(self, statusfile=None): """Create a new Nagios state store. One argument, statusfile, is used to indicate where the status file is. This object is intended to be read-only once it has been created. """ self.info = info({}) self.program = program({}) self.hosts = {} self.services = {} self.comments = {} self.downtimes = {} if statusfile is not None: self._update(statusfile) def _update(self, statusfile): """Read the status file from Nagios and parse it. Responsible for building our internal representation of the tree. """ def next_stanza(f): cur = None for line in f: line = line.strip() if line.endswith('{'): if cur is not None: yield cur cur = {'type': line.split(' ', 1)[0]} elif '=' in line: (key, val) = line.split('=', 1) if key == 'performance_data': performance_data = {} split = val.split(' ') for dat in split: chunks = dat.split(';', 1) if chunks and len(chunks) > 0 and ('=' in chunks[0]): (c_key, c_val) = chunks[0].split('=', 1) try: n_val = float(c_val) if n_val == int(n_val): n_val = int(n_val) except ValueError: n_val = c_val performance_data[c_key] = n_val val = performance_data cur[key] = val elif '#' in line: if not line.find('NAGIOS STATE RETENTION FILE'): raise value_error('You appear to have used the state retention file instead of the status file. Please change your arguments and try again.') if cur is not None: yield cur f = open(statusfile, 'r') for obj in next_stanza(f): host = obj['host_name'] if 'host_name' in obj else None service = obj['service_description'] if 'service_description' in obj else None if obj['type'] == 'hoststatus': self.hosts[host] = host(obj) elif obj['type'] == 'servicestatus': if host not in self.services: self.services[host] = {} self.services[host][service] = service(obj) elif obj['type'].endswith('comment'): self.comments[int(obj['comment_id'])] = comment(obj) elif obj['type'].endswith('downtime'): self.downtimes[int(obj['downtime_id'])] = downtime(obj) elif obj['type'] == 'info': self.info = info(obj) elif obj['type'] == 'programstatus': self.program = program(obj) f.close() for host in self.services: for s in self.services[host].itervalues(): self.host_or_service(host).attach_service(s) for c in self.comments.itervalues(): tmp = self.host_or_service(c.host, c.service) if tmp is None: pass else: tmp.attach_comment(c) for d in self.downtimes.itervalues(): self.host_or_service(d.host, d.service).attach_downtime(d) def host_or_service(self, host, service=None): """Return a Host or Service object for the given host/service combo. Note that Service may be None, in which case we return a Host. """ if service is not None: try: service = service.encode('utf-8') except: pass if host not in self.hosts: return None if service is None: return self.hosts[host] if host not in self.services or service not in self.services[host]: return None return self.services[host][service] def for_json(self): """Given a Nagios state object, return a pruned down dict that is ready to be serialized to JSON. """ out = {} for host in self.hosts: out[host] = self.hosts[host].for_json() return out class Nagiosobject: """A base class that does a little fancy parsing. That's it. """ def __init__(self, obj): """Builder for the base.""" for key in obj: self.__dict__[key] = obj[key] self.host = getattr(self, 'host_name', None) self.service = getattr(self, 'service_description', None) self.essential_keys = [] def for_json(self): """Return a dict of ourselves that is ready to be serialized out to JSON. This only returns the data that we think is essential for any UI to show. """ obj = {} for key in self.essential_keys: obj[key] = getattr(self, key, None) return obj class Info(NagiosObject): def __init__(self, obj): NagiosObject.__init__(self, obj) self.essential_keys = ['created', 'version', 'last_update_check', 'update_available', 'last_version', 'new_version'] class Program(NagiosObject): def __init__(self, obj): NagiosObject.__init__(self, obj) self.essential_keys = ['modified_host_attributes', 'modified_service_attributes', 'nagios_pid', 'daemon_mode', 'program_start', 'last_log_rotation', 'enable_notifications', 'active_service_checks_enabled', 'passive_service_checks_enabled', 'active_host_checks_enabled', 'passive_host_checks_enabled', 'enable_event_handlers', 'obsess_over_services', 'obsess_over_hosts', 'check_service_freshness', 'check_host_freshness', 'enable_flap_detection', 'process_performance_data', 'global_host_event_handle', 'global_service_event_handle', 'next_comment_id', 'next_downtime_id', 'next_event_id', 'next_problem_id', 'next_notification_id', 'active_scheduled_host_check_stats', 'active_ondemand_host_check_stats', 'passive_host_check_stats', 'active_scheduled_service_check_stats', 'active_ondemand_service_check_stats', 'passive_service_check_stats', 'cached_host_check_stats', 'cached_service_check_stats', 'external_command_stats', 'parallel_host_check_stats', 'serial_host_check_stats'] class Hostorservice(NagiosObject): """Represent a single host or service. """ def __init__(self, obj): """Custom build a HostOrService object.""" NagiosObject.__init__(self, obj) self.downtimes = {} self.comments = {} self.essential_keys = ['current_state', 'plugin_output', 'notifications_enabled', 'last_check', 'last_notification', 'active_checks_enabled', 'problem_has_been_acknowledged', 'last_hard_state', 'scheduled_downtime_depth', 'performance_data', 'last_state_change', 'current_attempt', 'max_attempts'] def attach_downtime(self, dt): """Given a Downtime object, store a record to it for lookup later.""" self.downtimes[dt.downtime_id] = dt def attach_comment(self, cmt): """Given a Comment object, store a record to it for lookup later.""" self.comments[cmt.comment_id] = cmt class Host(HostOrService): """Represent a single host. """ def __init__(self, obj): """Custom build a Host object.""" HostOrService.__init__(self, obj) self.services = {} def attach_service(self, svc): """Attach a Service to this Host.""" self.services[svc.service] = svc def for_json(self): """Represent ourselves and also get attached data.""" obj = NagiosObject.for_json(self) for key in ('services', 'comments', 'downtimes'): obj[key] = {} for idx in self.__dict__[key]: obj[key][idx] = self.__dict__[key][idx].for_json() return obj class Service(HostOrService): """Represent a single service. """ def for_json(self): """Represent ourselves and also get attached data.""" obj = NagiosObject.for_json(self) for key in ('comments', 'downtimes'): obj[key] = {} for idx in self.__dict__[key]: obj[key][idx] = self.__dict__[key][idx].for_json() return obj class Comment(NagiosObject): """Represent a single comment. """ def __init__(self, obj): """Custom build a Comment object.""" NagiosObject.__init__(self, obj) self.essential_keys = ['comment_id', 'entry_type', 'source', 'persistent', 'entry_time', 'expires', 'expire_time', 'author', 'comment_data'] self.comment_id = int(self.comment_id) class Downtime(NagiosObject): """Represent a single downtime event. """ def __init__(self, obj): """Custom build a Downtime object.""" NagiosObject.__init__(self, obj) self.essential_keys = ['downtime_id', 'entry_time', 'start_time', 'end_time', 'triggered_by', 'fixed', 'duration', 'author', 'comment'] self.downtime_id = int(self.downtime_id)
# Read from a file one line at a time. # amwhaley@cisco.com # twitter: @mandywhaley # http://developer.cisco.com # http://developer.cisco.com/learning # Jan 15, 2015 # * THIS SAMPLE APPLICATION AND INFORMATION IS PROVIDED "AS IS" WITHOUT WARRANTY # * OF ANY KIND BY CISCO, EITHER EXPRESSED OR IMPLIED, INCLUDING BUT NOT LIMITED # * TO THE IMPLIED WARRANTIES OF MERCHANTABILITY FITNESS FOR A PARTICULAR # * PURPOSE, NONINFRINGEMENT, SATISFACTORY QUALITY OR ARISING FROM A COURSE OF # * DEALING, LAW, USAGE, OR TRADE PRACTICE. CISCO TAKES NO RESPONSIBILITY # * REGARDING ITS USAGE IN AN APPLICATION, AND IT IS PRESENTED ONLY AS AN # * EXAMPLE. THE SAMPLE CODE HAS NOT BEEN THOROUGHLY TESTED AND IS PROVIDED AS AN # * EXAMPLE ONLY, THEREFORE CISCO DOES NOT GUARANTEE OR MAKE ANY REPRESENTATIONS # * REGARDING ITS RELIABILITY, SERVICEABILITY, OR FUNCTION. IN NO EVENT DOES # * CISCO WARRANT THAT THE SOFTWARE IS ERROR FREE OR THAT CUSTOMER WILL BE ABLE # * TO OPERATE THE SOFTWARE WITHOUT PROBLEMS OR INTERRUPTIONS. NOR DOES CISCO # * WARRANT THAT THE SOFTWARE OR ANY EQUIPMENT ON WHICH THE SOFTWARE IS USED WILL # * BE FREE OF VULNERABILITY TO INTRUSION OR ATTACK. THIS SAMPLE APPLICATION IS # * NOT SUPPORTED BY CISCO IN ANY MANNER. CISCO DOES NOT ASSUME ANY LIABILITY # * ARISING FROM THE USE OF THE APPLICATION. FURTHERMORE, IN NO EVENT SHALL CISCO # * OR ITS SUPPLIERS BE LIABLE FOR ANY INCIDENTAL OR CONSEQUENTIAL DAMAGES, LOST # * PROFITS, OR LOST DATA, OR ANY OTHER INDIRECT DAMAGES EVEN IF CISCO OR ITS # * SUPPLIERS HAVE BEEN INFORMED OF THE POSSIBILITY THEREOF.--> #.readline() reads in only 1 line of the file at a time. print ("Read only the first line of the file:") my_file_object = open("my-file.txt", "r") print (my_file_object.readline()) print ("\n") my_file_object.close()
print('Read only the first line of the file:') my_file_object = open('my-file.txt', 'r') print(my_file_object.readline()) print('\n') my_file_object.close()
the_count = [1,2,3,4,5] fruits = ['apples','oranges','pears','appricots'] change = [1,'pennies', 2,'dimes',3,'quarters'] #this first kind of for loops goes through a list for number in the_count : print ("This is count %d"%number) # same as above for fruit in fruits : print ("A fruit of type : %s"%fruit) for i in change: print ("I got %r "%i) elements = [] for i in range (0,6): print("Adding %d to the list."%i) elements.append(i) for i in elements: print("Element was: %d "%i)
the_count = [1, 2, 3, 4, 5] fruits = ['apples', 'oranges', 'pears', 'appricots'] change = [1, 'pennies', 2, 'dimes', 3, 'quarters'] for number in the_count: print('This is count %d' % number) for fruit in fruits: print('A fruit of type : %s' % fruit) for i in change: print('I got %r ' % i) elements = [] for i in range(0, 6): print('Adding %d to the list.' % i) elements.append(i) for i in elements: print('Element was: %d ' % i)
############################################################################## # The MIT License (MIT) # # Copyright (c) 2016-2019 Hajime Nakagami<nakagami@gmail.com> # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in all # copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE # SOFTWARE. ############################################################################## DB2_SQLTYPE_DATE = 384 DB2_SQLTYPE_NDATE = 385 DB2_SQLTYPE_TIME = 388 DB2_SQLTYPE_NTIME = 389 DB2_SQLTYPE_TIMESTAMP = 392 DB2_SQLTYPE_NTIMESTAMP = 393 DB2_SQLTYPE_DATALINK = 396 DB2_SQLTYPE_NDATALINK = 397 DB2_SQLTYPE_BLOB = 404 DB2_SQLTYPE_NBLOB = 405 DB2_SQLTYPE_CLOB = 408 DB2_SQLTYPE_NCLOB = 409 DB2_SQLTYPE_DBCLOB = 412 DB2_SQLTYPE_NDBCLOB = 413 DB2_SQLTYPE_VARCHAR = 448 DB2_SQLTYPE_NVARCHAR = 449 DB2_SQLTYPE_CHAR = 452 DB2_SQLTYPE_NCHAR = 453 DB2_SQLTYPE_LONG = 456 DB2_SQLTYPE_NLONG = 457 DB2_SQLTYPE_CSTR = 460 DB2_SQLTYPE_NCSTR = 461 DB2_SQLTYPE_VARGRAPH = 464 DB2_SQLTYPE_NVARGRAPH = 465 DB2_SQLTYPE_GRAPHIC = 468 DB2_SQLTYPE_NGRAPHIC = 469 DB2_SQLTYPE_LONGRAPH = 472 DB2_SQLTYPE_NLONGRAPH = 473 DB2_SQLTYPE_LSTR = 476 DB2_SQLTYPE_NLSTR = 477 DB2_SQLTYPE_FLOAT = 480 DB2_SQLTYPE_NFLOAT = 481 DB2_SQLTYPE_DECIMAL = 484 DB2_SQLTYPE_NDECIMAL = 485 DB2_SQLTYPE_ZONED = 488 DB2_SQLTYPE_NZONED = 489 DB2_SQLTYPE_BIGINT = 492 DB2_SQLTYPE_NBIGINT = 493 DB2_SQLTYPE_INTEGER = 496 DB2_SQLTYPE_NINTEGER = 497 DB2_SQLTYPE_SMALL = 500 DB2_SQLTYPE_NSMALL = 501 DB2_SQLTYPE_NUMERIC = 504 DB2_SQLTYPE_NNUMERIC = 505 DB2_SQLTYPE_ROWID = 904 DB2_SQLTYPE_NROWID = 905 DB2_SQLTYPE_BLOB_LOCATOR = 960 DB2_SQLTYPE_NBLOB_LOCATOR = 961 DB2_SQLTYPE_CLOB_LOCATOR = 964 DB2_SQLTYPE_NCLOB_LOCATOR = 965 DB2_SQLTYPE_DBCLOB_LOCATOR = 968 DB2_SQLTYPE_NDBCLOB_LOCATOR = 969 DB2_SQLTYPE_BOOLEAN = 2436 DB2_SQLTYPE_NBOOLEAN = 2437 DB2_SQLTYPE_FAKE_UDT = 2000 DB2_SQLTYPE_FAKE_NUDT = 2001 SECMEC_DCESEC = 1 SECMEC_USRIDPWD = 3 SECMEC_USRIDONL = 4 SECMEC_USRIDNWPWD = 5 SECMEC_USRSBSPWD = 6 SECMEC_USRENCPWD = 7 SECMEC_USRSSBPWD = 8 SECMEC_EUSRIDPWD = 9 SECMEC_EUSRIDNWPWD = 10
db2_sqltype_date = 384 db2_sqltype_ndate = 385 db2_sqltype_time = 388 db2_sqltype_ntime = 389 db2_sqltype_timestamp = 392 db2_sqltype_ntimestamp = 393 db2_sqltype_datalink = 396 db2_sqltype_ndatalink = 397 db2_sqltype_blob = 404 db2_sqltype_nblob = 405 db2_sqltype_clob = 408 db2_sqltype_nclob = 409 db2_sqltype_dbclob = 412 db2_sqltype_ndbclob = 413 db2_sqltype_varchar = 448 db2_sqltype_nvarchar = 449 db2_sqltype_char = 452 db2_sqltype_nchar = 453 db2_sqltype_long = 456 db2_sqltype_nlong = 457 db2_sqltype_cstr = 460 db2_sqltype_ncstr = 461 db2_sqltype_vargraph = 464 db2_sqltype_nvargraph = 465 db2_sqltype_graphic = 468 db2_sqltype_ngraphic = 469 db2_sqltype_longraph = 472 db2_sqltype_nlongraph = 473 db2_sqltype_lstr = 476 db2_sqltype_nlstr = 477 db2_sqltype_float = 480 db2_sqltype_nfloat = 481 db2_sqltype_decimal = 484 db2_sqltype_ndecimal = 485 db2_sqltype_zoned = 488 db2_sqltype_nzoned = 489 db2_sqltype_bigint = 492 db2_sqltype_nbigint = 493 db2_sqltype_integer = 496 db2_sqltype_ninteger = 497 db2_sqltype_small = 500 db2_sqltype_nsmall = 501 db2_sqltype_numeric = 504 db2_sqltype_nnumeric = 505 db2_sqltype_rowid = 904 db2_sqltype_nrowid = 905 db2_sqltype_blob_locator = 960 db2_sqltype_nblob_locator = 961 db2_sqltype_clob_locator = 964 db2_sqltype_nclob_locator = 965 db2_sqltype_dbclob_locator = 968 db2_sqltype_ndbclob_locator = 969 db2_sqltype_boolean = 2436 db2_sqltype_nboolean = 2437 db2_sqltype_fake_udt = 2000 db2_sqltype_fake_nudt = 2001 secmec_dcesec = 1 secmec_usridpwd = 3 secmec_usridonl = 4 secmec_usridnwpwd = 5 secmec_usrsbspwd = 6 secmec_usrencpwd = 7 secmec_usrssbpwd = 8 secmec_eusridpwd = 9 secmec_eusridnwpwd = 10
def ausgabe(liste, ende="\n", erstezeile=""): print(erstezeile) for element in liste: print(element, end=ende) def ausgabe2(liste, **kwargs): ende = "\n" if "ende" not in kwargs else kwargs["ende"] erstezeile = "" if "erstezeile" not in kwargs else kwargs["erstezeile"] print(erstezeile) for element in liste: print(element, end=ende) einkaufsliste = ["Milch", "Eier", "Bier"] ausgabe(einkaufsliste) ausgabe(einkaufsliste, " ") print() ausgabe(einkaufsliste, " ", "Meine Einkaufsliste:") ### ausgabe2(einkaufsliste) ausgabe2(einkaufsliste,ende = " ") print() ausgabe2(einkaufsliste, erstezeile = "Meine Einkaufsliste:")
def ausgabe(liste, ende='\n', erstezeile=''): print(erstezeile) for element in liste: print(element, end=ende) def ausgabe2(liste, **kwargs): ende = '\n' if 'ende' not in kwargs else kwargs['ende'] erstezeile = '' if 'erstezeile' not in kwargs else kwargs['erstezeile'] print(erstezeile) for element in liste: print(element, end=ende) einkaufsliste = ['Milch', 'Eier', 'Bier'] ausgabe(einkaufsliste) ausgabe(einkaufsliste, ' ') print() ausgabe(einkaufsliste, ' ', 'Meine Einkaufsliste:') ausgabe2(einkaufsliste) ausgabe2(einkaufsliste, ende=' ') print() ausgabe2(einkaufsliste, erstezeile='Meine Einkaufsliste:')
#!/usr/bin/env python def hello_world(): return 'Hello World!'
def hello_world(): return 'Hello World!'
def get_modification(): mod_dict = dict() # {mod_name: elements} mod_dict['2-dimethylsuccinyl[C]'] = 'C NORMAL 144.042259 144.042259 0 H(8)C(6)O(4)' mod_dict['2-monomethylsuccinyl[C]'] = 'C NORMAL 130.026609 130.026609 0 H(6)C(5)O(4)' mod_dict['2-nitrobenzyl[Y]'] = 'Y NORMAL 135.032028 135.032028 0 H(5)C(7)N(1)O(2)' mod_dict['2-succinyl[C]'] = 'C NORMAL 116.010959 116.010959 0 H(4)C(4)O(4)' mod_dict['2HPG[R]'] = 'R NORMAL 282.052824 282.052824 0 H(10)C(16)O(5)' mod_dict['3-deoxyglucosone[R]'] = 'R NORMAL 144.042259 144.042259 0 H(8)C(6)O(4)' mod_dict['3-phosphoglyceryl[K]'] = 'K NORMAL 167.982375 167.982375 0 H(5)C(3)O(6)P(1)' mod_dict['3sulfo[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 183.983029 183.983029 0 H(4)C(7)O(4)S(1)' mod_dict['4-ONE+Delta_H(-2)O(-1)[C]'] = 'C NORMAL 136.088815 136.088815 0 H(12)C(9)O(1)' mod_dict['4-ONE+Delta_H(-2)O(-1)[H]'] = 'H NORMAL 136.088815 136.088815 0 H(12)C(9)O(1)' mod_dict['4-ONE+Delta_H(-2)O(-1)[K]'] = 'K NORMAL 136.088815 136.088815 0 H(12)C(9)O(1)' mod_dict['4-ONE[C]'] = 'C NORMAL 154.099380 154.099380 0 H(14)C(9)O(2)' mod_dict['4-ONE[H]'] = 'H NORMAL 154.099380 154.099380 0 H(14)C(9)O(2)' mod_dict['4-ONE[K]'] = 'K NORMAL 154.099380 154.099380 0 H(14)C(9)O(2)' mod_dict['4AcAllylGal[C]'] = 'C NORMAL 372.142033 372.142033 0 H(24)C(17)O(9)' mod_dict['ADP-Ribosyl[C]'] = 'C NORMAL 541.061110 541.061110 0 H(21)C(15)N(5)O(13)P(2)' mod_dict['ADP-Ribosyl[D]'] = 'D NORMAL 541.061110 541.061110 0 H(21)C(15)N(5)O(13)P(2)' mod_dict['ADP-Ribosyl[E]'] = 'E NORMAL 541.061110 541.061110 0 H(21)C(15)N(5)O(13)P(2)' mod_dict['ADP-Ribosyl[K]'] = 'K NORMAL 541.061110 541.061110 0 H(21)C(15)N(5)O(13)P(2)' mod_dict['ADP-Ribosyl[N]'] = 'N NORMAL 541.061110 541.061110 0 H(21)C(15)N(5)O(13)P(2)' mod_dict['ADP-Ribosyl[R]'] = 'R NORMAL 541.061110 541.061110 0 H(21)C(15)N(5)O(13)P(2)' mod_dict['ADP-Ribosyl[S]'] = 'S NORMAL 541.061110 541.061110 0 H(21)C(15)N(5)O(13)P(2)' mod_dict['AEBS[H]'] = 'H NORMAL 183.035399 183.035399 0 H(9)C(8)N(1)O(2)S(1)' mod_dict['AEBS[K]'] = 'K NORMAL 183.035399 183.035399 0 H(9)C(8)N(1)O(2)S(1)' mod_dict['AEBS[S]'] = 'S NORMAL 183.035399 183.035399 0 H(9)C(8)N(1)O(2)S(1)' mod_dict['AEBS[Y]'] = 'Y NORMAL 183.035399 183.035399 0 H(9)C(8)N(1)O(2)S(1)' mod_dict['AEBS[ProteinN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PRO_N 183.035399 183.035399 0 H(9)C(8)N(1)O(2)S(1)' mod_dict['AEC-MAEC[S]'] = 'S NORMAL 59.019355 59.019355 0 H(5)C(2)N(1)O(-1)S(1)' mod_dict['AEC-MAEC[T]'] = 'T NORMAL 59.019355 59.019355 0 H(5)C(2)N(1)O(-1)S(1)' mod_dict['AEC-MAEC_2H(4)[S]'] = 'S NORMAL 63.044462 63.044462 0 H(1)2H(4)C(2)N(1)O(-1)S(1)' mod_dict['AEC-MAEC_2H(4)[T]'] = 'T NORMAL 63.044462 63.044462 0 H(1)2H(4)C(2)N(1)O(-1)S(1)' mod_dict['AHA-Alkyne-KDDDD[M]'] = 'M NORMAL 695.280074 695.280074 0 H(37)C(26)N(11)O(14)S(-1)' mod_dict['AHA-Alkyne[M]'] = 'M NORMAL 107.077339 107.077339 0 H(5)C(4)N(5)O(1)S(-1)' mod_dict['AHA-SS[M]'] = 'M NORMAL 195.075625 195.075625 0 H(9)C(7)N(5)O(2)' mod_dict['AHA-SS_CAM[M]'] = 'M NORMAL 252.097088 252.097088 0 H(12)C(9)N(6)O(3)' mod_dict['AMTzHexNAc2[N]'] = 'N NORMAL 502.202341 502.202341 0 H(30)C(19)N(6)O(10)' mod_dict['AMTzHexNAc2[S]'] = 'S NORMAL 502.202341 502.202341 0 H(30)C(19)N(6)O(10)' mod_dict['AMTzHexNAc2[T]'] = 'T NORMAL 502.202341 502.202341 0 H(30)C(19)N(6)O(10)' mod_dict['AROD[C]'] = 'C NORMAL 820.336015 820.336015 0 H(52)C(35)N(10)O(9)S(2)' mod_dict['AccQTag[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 170.048013 170.048013 0 H(6)C(10)N(2)O(1)' mod_dict['AccQTag[K]'] = 'K NORMAL 170.048013 170.048013 0 H(6)C(10)N(2)O(1)' mod_dict['Acetyl[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 42.010565 42.010565 0 H(2)C(2)O(1)' mod_dict['Acetyl[C]'] = 'C NORMAL 42.010565 42.010565 0 H(2)C(2)O(1)' mod_dict['Acetyl[H]'] = 'H NORMAL 42.010565 42.010565 0 H(2)C(2)O(1)' mod_dict['Acetyl[K]'] = 'K NORMAL 42.010565 42.010565 0 H(2)C(2)O(1)' mod_dict['Acetyl[S]'] = 'S NORMAL 42.010565 42.010565 0 H(2)C(2)O(1)' mod_dict['Acetyl[T]'] = 'T NORMAL 42.010565 42.010565 0 H(2)C(2)O(1)' mod_dict['Acetyl[Y]'] = 'Y NORMAL 42.010565 42.010565 0 H(2)C(2)O(1)' mod_dict['Acetyl[ProteinN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PRO_N 42.010565 42.010565 0 H(2)C(2)O(1)' mod_dict['Acetyl_13C(2)[K]'] = 'K NORMAL 44.017274 44.017274 0 H(2)13C(2)O(1)' mod_dict['Acetyl_13C(2)[ProteinN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PRO_N 44.017274 44.017274 0 H(2)13C(2)O(1)' mod_dict['Acetyl_2H(3)[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 45.029395 45.029395 0 H(-1)2H(3)C(2)O(1)' mod_dict['Acetyl_2H(3)[H]'] = 'H NORMAL 45.029395 45.029395 0 H(-1)2H(3)C(2)O(1)' mod_dict['Acetyl_2H(3)[K]'] = 'K NORMAL 45.029395 45.029395 0 H(-1)2H(3)C(2)O(1)' mod_dict['Acetyl_2H(3)[S]'] = 'S NORMAL 45.029395 45.029395 0 H(-1)2H(3)C(2)O(1)' mod_dict['Acetyl_2H(3)[T]'] = 'T NORMAL 45.029395 45.029395 0 H(-1)2H(3)C(2)O(1)' mod_dict['Acetyl_2H(3)[Y]'] = 'Y NORMAL 45.029395 45.029395 0 H(-1)2H(3)C(2)O(1)' mod_dict['Acetyl_2H(3)[ProteinN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PRO_N 45.029395 45.029395 0 H(-1)2H(3)C(2)O(1)' mod_dict['Acetyldeoxyhypusine[K]'] = 'K NORMAL 97.089149 97.089149 0 H(11)C(6)N(1)' mod_dict['Acetylhypusine[K]'] = 'K NORMAL 113.084064 113.084064 0 H(11)C(6)N(1)O(1)' mod_dict['Ahx2+Hsl[AnyC-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_C 309.205242 309.205242 0 H(27)C(16)N(3)O(3)' mod_dict['Ala->Arg[A]'] = 'A NORMAL 85.063997 85.063997 0 H(7)C(3)N(3)' mod_dict['Ala->Asn[A]'] = 'A NORMAL 43.005814 43.005814 0 H(1)C(1)N(1)O(1)' mod_dict['Ala->Asp[A]'] = 'A NORMAL 43.989829 43.989829 0 C(1)O(2)' mod_dict['Ala->Cys[A]'] = 'A NORMAL 31.972071 31.972071 0 S(1)' mod_dict['Ala->Gln[A]'] = 'A NORMAL 57.021464 57.021464 0 H(3)C(2)N(1)O(1)' mod_dict['Ala->Glu[A]'] = 'A NORMAL 58.005479 58.005479 0 H(2)C(2)O(2)' mod_dict['Ala->Gly[A]'] = 'A NORMAL -14.015650 -14.015650 0 H(-2)C(-1)' mod_dict['Ala->His[A]'] = 'A NORMAL 66.021798 66.021798 0 H(2)C(3)N(2)' mod_dict['Ala->Lys[A]'] = 'A NORMAL 57.057849 57.057849 0 H(7)C(3)N(1)' mod_dict['Ala->Met[A]'] = 'A NORMAL 60.003371 60.003371 0 H(4)C(2)S(1)' mod_dict['Ala->Phe[A]'] = 'A NORMAL 76.031300 76.031300 0 H(4)C(6)' mod_dict['Ala->Pro[A]'] = 'A NORMAL 26.015650 26.015650 0 H(2)C(2)' mod_dict['Ala->Ser[A]'] = 'A NORMAL 15.994915 15.994915 0 O(1)' mod_dict['Ala->Thr[A]'] = 'A NORMAL 30.010565 30.010565 0 H(2)C(1)O(1)' mod_dict['Ala->Trp[A]'] = 'A NORMAL 115.042199 115.042199 0 H(5)C(8)N(1)' mod_dict['Ala->Tyr[A]'] = 'A NORMAL 92.026215 92.026215 0 H(4)C(6)O(1)' mod_dict['Ala->Val[A]'] = 'A NORMAL 28.031300 28.031300 0 H(4)C(2)' mod_dict['Ala->Xle[A]'] = 'A NORMAL 42.046950 42.046950 0 H(6)C(3)' mod_dict['Amidated[AnyC-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_C -0.984016 -0.984016 0 H(1)N(1)O(-1)' mod_dict['Amidated[ProteinC-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PRO_C -0.984016 -0.984016 0 H(1)N(1)O(-1)' mod_dict['Amidine[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 41.026549 41.026549 0 H(3)C(2)N(1)' mod_dict['Amidine[K]'] = 'K NORMAL 41.026549 41.026549 0 H(3)C(2)N(1)' mod_dict['Amidino[C]'] = 'C NORMAL 42.021798 42.021798 0 H(2)C(1)N(2)' mod_dict['Amino[Y]'] = 'Y NORMAL 15.010899 15.010899 0 H(1)N(1)' mod_dict['Ammonia-loss[AnyN-termC]'] = 'C PEP_N -17.026549 -17.026549 0 H(-3)N(-1)' mod_dict['Ammonia-loss[N]'] = 'N NORMAL -17.026549 -17.026549 0 H(-3)N(-1)' mod_dict['Ammonia-loss[ProteinN-termS]'] = 'S PRO_N -17.026549 -17.026549 0 H(-3)N(-1)' mod_dict['Ammonia-loss[ProteinN-termT]'] = 'T PRO_N -17.026549 -17.026549 0 H(-3)N(-1)' mod_dict['Ammonium[AnyC-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_C 17.026549 17.026549 0 H(3)N(1)' mod_dict['Ammonium[D]'] = 'D NORMAL 17.026549 17.026549 0 H(3)N(1)' mod_dict['Ammonium[E]'] = 'E NORMAL 17.026549 17.026549 0 H(3)N(1)' mod_dict['Archaeol[C]'] = 'C NORMAL 634.662782 634.662782 0 H(86)C(43)O(2)' mod_dict['Arg->Ala[R]'] = 'R NORMAL -85.063997 -85.063997 0 H(-7)C(-3)N(-3)' mod_dict['Arg->Asn[R]'] = 'R NORMAL -42.058184 -42.058184 0 H(-6)C(-2)N(-2)O(1)' mod_dict['Arg->Asp[R]'] = 'R NORMAL -41.074168 -41.074168 0 H(-7)C(-2)N(-3)O(2)' mod_dict['Arg->Cys[R]'] = 'R NORMAL -53.091927 -53.091927 0 H(-7)C(-3)N(-3)S(1)' mod_dict['Arg->Gln[R]'] = 'R NORMAL -28.042534 -28.042534 0 H(-4)C(-1)N(-2)O(1)' mod_dict['Arg->Glu[R]'] = 'R NORMAL -27.058518 -27.058518 0 H(-5)C(-1)N(-3)O(2)' mod_dict['Arg->GluSA[R]'] = 'R NORMAL -43.053433 -43.053433 0 H(-5)C(-1)N(-3)O(1)' mod_dict['Arg->Gly[R]'] = 'R NORMAL -99.079647 -99.079647 0 H(-9)C(-4)N(-3)' mod_dict['Arg->His[R]'] = 'R NORMAL -19.042199 -19.042199 0 H(-5)N(-1)' mod_dict['Arg->Lys[R]'] = 'R NORMAL -28.006148 -28.006148 0 N(-2)' mod_dict['Arg->Met[R]'] = 'R NORMAL -25.060626 -25.060626 0 H(-3)C(-1)N(-3)S(1)' mod_dict['Arg->Npo[R]'] = 'R NORMAL 80.985078 80.985078 0 H(-1)C(3)N(1)O(2)' mod_dict['Arg->Orn[R]'] = 'R NORMAL -42.021798 -42.021798 0 H(-2)C(-1)N(-2)' mod_dict['Arg->Phe[R]'] = 'R NORMAL -9.032697 -9.032697 0 H(-3)C(3)N(-3)' mod_dict['Arg->Pro[R]'] = 'R NORMAL -59.048347 -59.048347 0 H(-5)C(-1)N(-3)' mod_dict['Arg->Ser[R]'] = 'R NORMAL -69.069083 -69.069083 0 H(-7)C(-3)N(-3)O(1)' mod_dict['Arg->Thr[R]'] = 'R NORMAL -55.053433 -55.053433 0 H(-5)C(-2)N(-3)O(1)' mod_dict['Arg->Trp[R]'] = 'R NORMAL 29.978202 29.978202 0 H(-2)C(5)N(-2)' mod_dict['Arg->Tyr[R]'] = 'R NORMAL 6.962218 6.962218 0 H(-3)C(3)N(-3)O(1)' mod_dict['Arg->Val[R]'] = 'R NORMAL -57.032697 -57.032697 0 H(-3)C(-1)N(-3)' mod_dict['Arg->Xle[R]'] = 'R NORMAL -43.017047 -43.017047 0 H(-1)N(-3)' mod_dict['Arg-loss[AnyC-termR]'] = 'R PEP_C -156.101111 -156.101111 0 H(-12)C(-6)N(-4)O(-1)' mod_dict['Arg[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 156.101111 156.101111 0 H(12)C(6)N(4)O(1)' mod_dict['Arg2PG[R]'] = 'R NORMAL 266.057909 266.057909 0 H(10)C(16)O(4)' mod_dict['Argbiotinhydrazide[R]'] = 'R NORMAL 199.066699 199.066699 0 H(13)C(9)N(1)O(2)S(1)' mod_dict['Asn->Ala[N]'] = 'N NORMAL -43.005814 -43.005814 0 H(-1)C(-1)N(-1)O(-1)' mod_dict['Asn->Arg[N]'] = 'N NORMAL 42.058184 42.058184 0 H(6)C(2)N(2)O(-1)' mod_dict['Asn->Cys[N]'] = 'N NORMAL -11.033743 -11.033743 0 H(-1)C(-1)N(-1)O(-1)S(1)' mod_dict['Asn->Gly[N]'] = 'N NORMAL -57.021464 -57.021464 0 H(-3)C(-2)N(-1)O(-1)' mod_dict['Asn->His[N]'] = 'N NORMAL 23.015984 23.015984 0 H(1)C(2)N(1)O(-1)' mod_dict['Asn->Lys[N]'] = 'N NORMAL 14.052036 14.052036 0 H(6)C(2)O(-1)' mod_dict['Asn->Met[N]'] = 'N NORMAL 16.997557 16.997557 0 H(3)C(1)N(-1)O(-1)S(1)' mod_dict['Asn->Phe[N]'] = 'N NORMAL 33.025486 33.025486 0 H(3)C(5)N(-1)O(-1)' mod_dict['Asn->Pro[N]'] = 'N NORMAL -16.990164 -16.990164 0 H(1)C(1)N(-1)O(-1)' mod_dict['Asn->Ser[N]'] = 'N NORMAL -27.010899 -27.010899 0 H(-1)C(-1)N(-1)' mod_dict['Asn->Thr[N]'] = 'N NORMAL -12.995249 -12.995249 0 H(1)N(-1)' mod_dict['Asn->Trp[N]'] = 'N NORMAL 72.036386 72.036386 0 H(4)C(7)O(-1)' mod_dict['Asn->Tyr[N]'] = 'N NORMAL 49.020401 49.020401 0 H(3)C(5)N(-1)' mod_dict['Asn->Val[N]'] = 'N NORMAL -14.974514 -14.974514 0 H(3)C(1)N(-1)O(-1)' mod_dict['Asn->Xle[N]'] = 'N NORMAL -0.958863 -0.958863 0 H(5)C(2)N(-1)O(-1)' mod_dict['Asp->Ala[D]'] = 'D NORMAL -43.989829 -43.989829 0 C(-1)O(-2)' mod_dict['Asp->Arg[D]'] = 'D NORMAL 41.074168 41.074168 0 H(7)C(2)N(3)O(-2)' mod_dict['Asp->Asn[D]'] = 'D NORMAL -0.984016 -0.984016 0 H(1)N(1)O(-1)' mod_dict['Asp->Cys[D]'] = 'D NORMAL -12.017759 -12.017759 0 C(-1)O(-2)S(1)' mod_dict['Asp->Gln[D]'] = 'D NORMAL 13.031634 13.031634 0 H(3)C(1)N(1)O(-1)' mod_dict['Asp->Gly[D]'] = 'D NORMAL -58.005479 -58.005479 0 H(-2)C(-2)O(-2)' mod_dict['Asp->His[D]'] = 'D NORMAL 22.031969 22.031969 0 H(2)C(2)N(2)O(-2)' mod_dict['Asp->Lys[D]'] = 'D NORMAL 13.068020 13.068020 0 H(7)C(2)N(1)O(-2)' mod_dict['Asp->Met[D]'] = 'D NORMAL 16.013542 16.013542 0 H(4)C(1)O(-2)S(1)' mod_dict['Asp->Phe[D]'] = 'D NORMAL 32.041471 32.041471 0 H(4)C(5)O(-2)' mod_dict['Asp->Pro[D]'] = 'D NORMAL -17.974179 -17.974179 0 H(2)C(1)O(-2)' mod_dict['Asp->Ser[D]'] = 'D NORMAL -27.994915 -27.994915 0 C(-1)O(-1)' mod_dict['Asp->Thr[D]'] = 'D NORMAL -13.979265 -13.979265 0 H(2)O(-1)' mod_dict['Asp->Trp[D]'] = 'D NORMAL 71.052370 71.052370 0 H(5)C(7)N(1)O(-2)' mod_dict['Asp->Tyr[D]'] = 'D NORMAL 48.036386 48.036386 0 H(4)C(5)O(-1)' mod_dict['Asp->Val[D]'] = 'D NORMAL -15.958529 -15.958529 0 H(4)C(1)O(-2)' mod_dict['Asp->Xle[D]'] = 'D NORMAL -1.942879 -1.942879 0 H(6)C(2)O(-2)' mod_dict['Atto495Maleimide[C]'] = 'C NORMAL 474.250515 474.250515 0 H(32)C(27)N(5)O(3)' mod_dict['BADGE[C]'] = 'C NORMAL 340.167459 340.167459 0 H(24)C(21)O(4)' mod_dict['BDMAPP[H]'] = 'H NORMAL 253.010225 253.010225 0 H(12)C(11)N(1)O(1)Br(1)' mod_dict['BDMAPP[K]'] = 'K NORMAL 253.010225 253.010225 0 H(12)C(11)N(1)O(1)Br(1)' mod_dict['BDMAPP[W]'] = 'W NORMAL 253.010225 253.010225 0 H(12)C(11)N(1)O(1)Br(1)' mod_dict['BDMAPP[Y]'] = 'Y NORMAL 253.010225 253.010225 0 H(12)C(11)N(1)O(1)Br(1)' mod_dict['BDMAPP[ProteinN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PRO_N 253.010225 253.010225 0 H(12)C(11)N(1)O(1)Br(1)' mod_dict['BHT[C]'] = 'C NORMAL 218.167065 218.167065 0 H(22)C(15)O(1)' mod_dict['BHT[H]'] = 'H NORMAL 218.167065 218.167065 0 H(22)C(15)O(1)' mod_dict['BHT[K]'] = 'K NORMAL 218.167065 218.167065 0 H(22)C(15)O(1)' mod_dict['BHTOH[C]'] = 'C NORMAL 234.161980 234.161980 0 H(22)C(15)O(2)' mod_dict['BHTOH[H]'] = 'H NORMAL 234.161980 234.161980 0 H(22)C(15)O(2)' mod_dict['BHTOH[K]'] = 'K NORMAL 234.161980 234.161980 0 H(22)C(15)O(2)' mod_dict['BITC[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 149.029920 149.029920 0 H(7)C(8)N(1)S(1)' mod_dict['BITC[C]'] = 'C NORMAL 149.029920 149.029920 0 H(7)C(8)N(1)S(1)' mod_dict['BITC[K]'] = 'K NORMAL 149.029920 149.029920 0 H(7)C(8)N(1)S(1)' mod_dict['BMOE[C]'] = 'C NORMAL 220.048407 220.048407 0 H(8)C(10)N(2)O(4)' mod_dict['BMP-piperidinol[C]'] = 'C NORMAL 263.131014 263.131014 0 H(17)C(18)N(1)O(1)' mod_dict['BMP-piperidinol[M]'] = 'M NORMAL 263.131014 263.131014 0 H(17)C(18)N(1)O(1)' mod_dict['Bacillosamine[N]'] = 'N NORMAL 228.111007 228.111007 0 H(16)C(10)N(2)O(4)' mod_dict['Benzoyl[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 104.026215 104.026215 0 H(4)C(7)O(1)' mod_dict['Benzoyl[K]'] = 'K NORMAL 104.026215 104.026215 0 H(4)C(7)O(1)' mod_dict['Biotin-HPDP[C]'] = 'C NORMAL 428.191582 428.191582 0 H(32)C(19)N(4)O(3)S(2)' mod_dict['Biotin-PEG-PRA[M]'] = 'M NORMAL 578.317646 578.317646 0 H(42)C(26)N(8)O(7)' mod_dict['Biotin-PEO-Amine[D]'] = 'D NORMAL 356.188212 356.188212 0 H(28)C(16)N(4)O(3)S(1)' mod_dict['Biotin-PEO-Amine[E]'] = 'E NORMAL 356.188212 356.188212 0 H(28)C(16)N(4)O(3)S(1)' mod_dict['Biotin-PEO-Amine[ProteinC-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PRO_C 356.188212 356.188212 0 H(28)C(16)N(4)O(3)S(1)' mod_dict['Biotin-phenacyl[C]'] = 'C NORMAL 626.263502 626.263502 0 H(38)C(29)N(8)O(6)S(1)' mod_dict['Biotin-phenacyl[H]'] = 'H NORMAL 626.263502 626.263502 0 H(38)C(29)N(8)O(6)S(1)' mod_dict['Biotin-phenacyl[S]'] = 'S NORMAL 626.263502 626.263502 0 H(38)C(29)N(8)O(6)S(1)' mod_dict['Biotin[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 226.077598 226.077598 0 H(14)C(10)N(2)O(2)S(1)' mod_dict['Biotin[K]'] = 'K NORMAL 226.077598 226.077598 0 H(14)C(10)N(2)O(2)S(1)' mod_dict['Biotin_Cayman-10013[C]'] = 'C NORMAL 660.428442 660.428442 0 H(60)C(36)N(4)O(5)S(1)' mod_dict['Biotin_Cayman-10141[C]'] = 'C NORMAL 626.386577 626.386577 0 H(54)C(35)N(4)O(4)S(1)' mod_dict['Biotin_Invitrogen-M1602[C]'] = 'C NORMAL 523.210069 523.210069 0 H(33)C(23)N(5)O(7)S(1)' mod_dict['Biotin_Sigma-B1267[C]'] = 'C NORMAL 449.173290 449.173290 0 H(27)C(20)N(5)O(5)S(1)' mod_dict['Biotin_Thermo-21325[K]'] = 'K NORMAL 695.310118 695.310118 0 H(45)C(34)N(7)O(7)S(1)' mod_dict['Biotin_Thermo-21345[Q]'] = 'Q NORMAL 311.166748 311.166748 0 H(25)C(15)N(3)O(2)S(1)' mod_dict['Biotin_Thermo-21360[AnyC-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_C 487.246455 487.246455 0 H(37)C(21)N(5)O(6)S(1)' mod_dict['Biotin_Thermo-21901+2H2O[C]'] = 'C NORMAL 561.246849 561.246849 0 H(39)C(23)N(5)O(9)S(1)' mod_dict['Biotin_Thermo-21901+H2O[C]'] = 'C NORMAL 543.236284 543.236284 0 H(37)C(23)N(5)O(8)S(1)' mod_dict['Biotin_Thermo-21911[C]'] = 'C NORMAL 921.461652 921.461652 0 H(71)C(41)N(5)O(16)S(1)' mod_dict['Biotin_Thermo-33033-H[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 546.208295 546.208295 0 H(34)C(25)N(6)O(4)S(2)' mod_dict['Biotin_Thermo-33033[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 548.223945 548.223945 0 H(36)C(25)N(6)O(4)S(2)' mod_dict['Biotin_Thermo-88310[K]'] = 'K NORMAL 196.121178 196.121178 0 H(16)C(10)N(2)O(2)' mod_dict['Biotin_Thermo-88317[S]'] = 'S NORMAL 443.291294 443.291294 0 H(42)C(22)N(3)O(4)P(1)' mod_dict['Biotin_Thermo-88317[Y]'] = 'Y NORMAL 443.291294 443.291294 0 H(42)C(22)N(3)O(4)P(1)' mod_dict['BisANS[K]'] = 'K NORMAL 594.091928 594.091928 0 H(22)C(32)N(2)O(6)S(2)' mod_dict['Bodipy[C]'] = 'C NORMAL 414.167478 414.167478 0 H(21)B(1)C(20)N(4)O(3)F(2)' mod_dict['Bromo[F]'] = 'F NORMAL 77.910511 77.910511 0 H(-1)Br(1)' mod_dict['Bromo[H]'] = 'H NORMAL 77.910511 77.910511 0 H(-1)Br(1)' mod_dict['Bromo[W]'] = 'W NORMAL 77.910511 77.910511 0 H(-1)Br(1)' mod_dict['Bromo[Y]'] = 'Y NORMAL 77.910511 77.910511 0 H(-1)Br(1)' mod_dict['Bromobimane[C]'] = 'C NORMAL 190.074228 190.074228 0 H(10)C(10)N(2)O(2)' mod_dict['Butyryl[K]'] = 'K NORMAL 70.041865 70.041865 0 H(6)C(4)O(1)' mod_dict['C+12[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 12.000000 12.000000 0 C(1)' mod_dict['C8-QAT[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 227.224915 227.224915 0 H(29)C(14)N(1)O(1)' mod_dict['C8-QAT[K]'] = 'K NORMAL 227.224915 227.224915 0 H(29)C(14)N(1)O(1)' mod_dict['CAF[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 135.983029 135.983029 0 H(4)C(3)O(4)S(1)' mod_dict['CAMthiopropanoyl[K]'] = 'K NORMAL 145.019749 145.019749 0 H(7)C(5)N(1)O(2)S(1)' mod_dict['CAMthiopropanoyl[ProteinN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PRO_N 145.019749 145.019749 0 H(7)C(5)N(1)O(2)S(1)' mod_dict['CHDH[D]'] = 'D NORMAL 294.183109 294.183109 0 H(26)C(17)O(4)' mod_dict['CLIP_TRAQ_2[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 141.098318 141.098318 0 H(12)C(6)13C(1)N(2)O(1)' mod_dict['CLIP_TRAQ_2[K]'] = 'K NORMAL 141.098318 141.098318 0 H(12)C(6)13C(1)N(2)O(1)' mod_dict['CLIP_TRAQ_2[Y]'] = 'Y NORMAL 141.098318 141.098318 0 H(12)C(6)13C(1)N(2)O(1)' mod_dict['CLIP_TRAQ_3[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 271.148736 271.148736 0 H(20)C(11)13C(1)N(3)O(4)' mod_dict['CLIP_TRAQ_3[K]'] = 'K NORMAL 271.148736 271.148736 0 H(20)C(11)13C(1)N(3)O(4)' mod_dict['CLIP_TRAQ_3[Y]'] = 'Y NORMAL 271.148736 271.148736 0 H(20)C(11)13C(1)N(3)O(4)' mod_dict['CLIP_TRAQ_4[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 244.101452 244.101452 0 H(15)C(9)13C(1)N(2)O(5)' mod_dict['CLIP_TRAQ_4[K]'] = 'K NORMAL 244.101452 244.101452 0 H(15)C(9)13C(1)N(2)O(5)' mod_dict['CLIP_TRAQ_4[Y]'] = 'Y NORMAL 244.101452 244.101452 0 H(15)C(9)13C(1)N(2)O(5)' mod_dict['Can-FP-biotin[S]'] = 'S NORMAL 447.195679 447.195679 0 H(34)C(19)N(3)O(5)P(1)S(1)' mod_dict['Can-FP-biotin[T]'] = 'T NORMAL 447.195679 447.195679 0 H(34)C(19)N(3)O(5)P(1)S(1)' mod_dict['Can-FP-biotin[Y]'] = 'Y NORMAL 447.195679 447.195679 0 H(34)C(19)N(3)O(5)P(1)S(1)' mod_dict['Carbamidomethyl[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 57.021464 57.021464 0 H(3)C(2)N(1)O(1)' mod_dict['Carbamidomethyl[C]'] = 'C NORMAL 57.021464 57.021464 0 H(3)C(2)N(1)O(1)' mod_dict['Carbamidomethyl[D]'] = 'D NORMAL 57.021464 57.021464 0 H(3)C(2)N(1)O(1)' mod_dict['Carbamidomethyl[E]'] = 'E NORMAL 57.021464 57.021464 0 H(3)C(2)N(1)O(1)' mod_dict['Carbamidomethyl[H]'] = 'H NORMAL 57.021464 57.021464 0 H(3)C(2)N(1)O(1)' mod_dict['Carbamidomethyl[K]'] = 'K NORMAL 57.021464 57.021464 0 H(3)C(2)N(1)O(1)' mod_dict['Carbamidomethyl[S]'] = 'S NORMAL 57.021464 57.021464 0 H(3)C(2)N(1)O(1)' mod_dict['Carbamidomethyl[T]'] = 'T NORMAL 57.021464 57.021464 0 H(3)C(2)N(1)O(1)' mod_dict['Carbamidomethyl[Y]'] = 'Y NORMAL 57.021464 57.021464 0 H(3)C(2)N(1)O(1)' mod_dict['CarbamidomethylDTT[C]'] = 'C NORMAL 209.018035 209.018035 0 H(11)C(6)N(1)O(3)S(2)' mod_dict['Carbamyl[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 43.005814 43.005814 0 H(1)C(1)N(1)O(1)' mod_dict['Carbamyl[C]'] = 'C NORMAL 43.005814 43.005814 0 H(1)C(1)N(1)O(1)' mod_dict['Carbamyl[K]'] = 'K NORMAL 43.005814 43.005814 0 H(1)C(1)N(1)O(1)' mod_dict['Carbamyl[M]'] = 'M NORMAL 43.005814 43.005814 0 H(1)C(1)N(1)O(1)' mod_dict['Carbamyl[R]'] = 'R NORMAL 43.005814 43.005814 0 H(1)C(1)N(1)O(1)' mod_dict['Carbamyl[S]'] = 'S NORMAL 43.005814 43.005814 0 H(1)C(1)N(1)O(1)' mod_dict['Carbamyl[T]'] = 'T NORMAL 43.005814 43.005814 0 H(1)C(1)N(1)O(1)' mod_dict['Carbamyl[Y]'] = 'Y NORMAL 43.005814 43.005814 0 H(1)C(1)N(1)O(1)' mod_dict['Carbamyl[ProteinN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PRO_N 43.005814 43.005814 0 H(1)C(1)N(1)O(1)' mod_dict['Carbofuran[S]'] = 'S NORMAL 58.029289 58.029289 0 H(4)C(2)N(1)O(1)' mod_dict['Carboxy->Thiocarboxy[ProteinC-termG]'] = 'G PRO_C 15.977156 15.977156 0 O(-1)S(1)' mod_dict['Carboxy[D]'] = 'D NORMAL 43.989829 43.989829 0 C(1)O(2)' mod_dict['Carboxy[E]'] = 'E NORMAL 43.989829 43.989829 0 C(1)O(2)' mod_dict['Carboxy[K]'] = 'K NORMAL 43.989829 43.989829 0 C(1)O(2)' mod_dict['Carboxy[W]'] = 'W NORMAL 43.989829 43.989829 0 C(1)O(2)' mod_dict['Carboxy[ProteinN-termM]'] = 'M PRO_N 43.989829 43.989829 0 C(1)O(2)' mod_dict['Carboxyethyl[H]'] = 'H NORMAL 72.021129 72.021129 0 H(4)C(3)O(2)' mod_dict['Carboxyethyl[K]'] = 'K NORMAL 72.021129 72.021129 0 H(4)C(3)O(2)' mod_dict['Carboxymethyl[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 58.005479 58.005479 0 H(2)C(2)O(2)' mod_dict['Carboxymethyl[C]'] = 'C NORMAL 58.005479 58.005479 0 H(2)C(2)O(2)' mod_dict['Carboxymethyl[K]'] = 'K NORMAL 58.005479 58.005479 0 H(2)C(2)O(2)' mod_dict['Carboxymethyl[W]'] = 'W NORMAL 58.005479 58.005479 0 H(2)C(2)O(2)' mod_dict['CarboxymethylDMAP[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 162.079313 162.079313 0 H(10)C(9)N(2)O(1)' mod_dict['CarboxymethylDTT[C]'] = 'C NORMAL 210.002050 210.002050 0 H(10)C(6)O(4)S(2)' mod_dict['Carboxymethyl_13C(2)[C]'] = 'C NORMAL 60.012189 60.012189 0 H(2)13C(2)O(2)' mod_dict['Cation_Ag[AnyC-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_C 105.897267 105.897267 0 H(-1)Ag(1)' mod_dict['Cation_Ag[D]'] = 'D NORMAL 105.897267 105.897267 0 H(-1)Ag(1)' mod_dict['Cation_Ag[E]'] = 'E NORMAL 105.897267 105.897267 0 H(-1)Ag(1)' mod_dict['Cation_Ca[II][AnyC-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_C 37.946941 37.946941 0 H(-2)Ca(1)' mod_dict['Cation_Ca[II][D]'] = 'D NORMAL 37.946941 37.946941 0 H(-2)Ca(1)' mod_dict['Cation_Ca[II][E]'] = 'E NORMAL 37.946941 37.946941 0 H(-2)Ca(1)' mod_dict['Cation_Cu[I][AnyC-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_C 61.921774 61.921774 0 H(-1)Cu(1)' mod_dict['Cation_Cu[I][D]'] = 'D NORMAL 61.921774 61.921774 0 H(-1)Cu(1)' mod_dict['Cation_Cu[I][E]'] = 'E NORMAL 61.921774 61.921774 0 H(-1)Cu(1)' mod_dict['Cation_Fe[II][AnyC-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_C 53.919289 53.919289 0 H(-2)Fe(1)' mod_dict['Cation_Fe[II][D]'] = 'D NORMAL 53.919289 53.919289 0 H(-2)Fe(1)' mod_dict['Cation_Fe[II][E]'] = 'E NORMAL 53.919289 53.919289 0 H(-2)Fe(1)' mod_dict['Cation_K[AnyC-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_C 37.955882 37.955882 0 H(-1)K(1)' mod_dict['Cation_K[D]'] = 'D NORMAL 37.955882 37.955882 0 H(-1)K(1)' mod_dict['Cation_K[E]'] = 'E NORMAL 37.955882 37.955882 0 H(-1)K(1)' mod_dict['Cation_Li[AnyC-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_C 6.008178 6.008178 0 H(-1)Li(1)' mod_dict['Cation_Li[D]'] = 'D NORMAL 6.008178 6.008178 0 H(-1)Li(1)' mod_dict['Cation_Li[E]'] = 'E NORMAL 6.008178 6.008178 0 H(-1)Li(1)' mod_dict['Cation_Mg[II][AnyC-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_C 21.969392 21.969392 0 H(-2)Mg(1)' mod_dict['Cation_Mg[II][D]'] = 'D NORMAL 21.969392 21.969392 0 H(-2)Mg(1)' mod_dict['Cation_Mg[II][E]'] = 'E NORMAL 21.969392 21.969392 0 H(-2)Mg(1)' mod_dict['Cation_Na[AnyC-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_C 21.981943 21.981943 0 H(-1)Na(1)' mod_dict['Cation_Na[D]'] = 'D NORMAL 21.981943 21.981943 0 H(-1)Na(1)' mod_dict['Cation_Na[E]'] = 'E NORMAL 21.981943 21.981943 0 H(-1)Na(1)' mod_dict['Cation_Ni[II][AnyC-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_C 55.919696 55.919696 0 H(-2)Ni(1)' mod_dict['Cation_Ni[II][D]'] = 'D NORMAL 55.919696 55.919696 0 H(-2)Ni(1)' mod_dict['Cation_Ni[II][E]'] = 'E NORMAL 55.919696 55.919696 0 H(-2)Ni(1)' mod_dict['Cation_Zn[II][AnyC-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_C 61.913495 61.913495 0 H(-2)Zn(1)' mod_dict['Cation_Zn[II][D]'] = 'D NORMAL 61.913495 61.913495 0 H(-2)Zn(1)' mod_dict['Cation_Zn[II][E]'] = 'E NORMAL 61.913495 61.913495 0 H(-2)Zn(1)' mod_dict['Chlorination[Y]'] = 'Y NORMAL 34.968853 34.968853 0 Cl(1)' mod_dict['Chlorpyrifos[S]'] = 'S NORMAL 153.013912 153.013912 0 H(10)C(4)O(2)P(1)S(1)' mod_dict['Chlorpyrifos[T]'] = 'T NORMAL 153.013912 153.013912 0 H(10)C(4)O(2)P(1)S(1)' mod_dict['Chlorpyrifos[Y]'] = 'Y NORMAL 153.013912 153.013912 0 H(10)C(4)O(2)P(1)S(1)' mod_dict['Cholesterol[ProteinC-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PRO_C 368.344302 368.344302 0 H(44)C(27)' mod_dict['CoenzymeA[C]'] = 'C NORMAL 765.099560 765.099560 0 H(34)C(21)N(7)O(16)P(3)S(1)' mod_dict['CresylSaligeninPhosphate[H]'] = 'H NORMAL 276.055146 276.055146 0 H(13)C(14)O(4)P(1)' mod_dict['CresylSaligeninPhosphate[K]'] = 'K NORMAL 276.055146 276.055146 0 H(13)C(14)O(4)P(1)' mod_dict['CresylSaligeninPhosphate[R]'] = 'R NORMAL 276.055146 276.055146 0 H(13)C(14)O(4)P(1)' mod_dict['CresylSaligeninPhosphate[S]'] = 'S NORMAL 276.055146 276.055146 0 H(13)C(14)O(4)P(1)' mod_dict['CresylSaligeninPhosphate[T]'] = 'T NORMAL 276.055146 276.055146 0 H(13)C(14)O(4)P(1)' mod_dict['CresylSaligeninPhosphate[Y]'] = 'Y NORMAL 276.055146 276.055146 0 H(13)C(14)O(4)P(1)' mod_dict['Cresylphosphate[H]'] = 'H NORMAL 170.013281 170.013281 0 H(7)C(7)O(3)P(1)' mod_dict['Cresylphosphate[K]'] = 'K NORMAL 170.013281 170.013281 0 H(7)C(7)O(3)P(1)' mod_dict['Cresylphosphate[R]'] = 'R NORMAL 170.013281 170.013281 0 H(7)C(7)O(3)P(1)' mod_dict['Cresylphosphate[S]'] = 'S NORMAL 170.013281 170.013281 0 H(7)C(7)O(3)P(1)' mod_dict['Cresylphosphate[T]'] = 'T NORMAL 170.013281 170.013281 0 H(7)C(7)O(3)P(1)' mod_dict['Cresylphosphate[Y]'] = 'Y NORMAL 170.013281 170.013281 0 H(7)C(7)O(3)P(1)' mod_dict['Crotonaldehyde[C]'] = 'C NORMAL 70.041865 70.041865 0 H(6)C(4)O(1)' mod_dict['Crotonaldehyde[H]'] = 'H NORMAL 70.041865 70.041865 0 H(6)C(4)O(1)' mod_dict['Crotonyl[K]'] = 'K NORMAL 68.026215 68.026215 0 H(4)C(4)O(1)' mod_dict['CuSMo[C]'] = 'C NORMAL 922.834855 922.834855 0 H(24)C(19)N(8)O(15)P(2)S(3)Cu(1)Mo(1)' mod_dict['Cy3-maleimide[C]'] = 'C NORMAL 753.262796 753.262796 0 H(45)C(37)N(4)O(9)S(2)' mod_dict['Cy3b-maleimide[C]'] = 'C NORMAL 682.246120 682.246120 0 H(38)C(37)N(4)O(7)S(1)' mod_dict['CyDye-Cy3[C]'] = 'C NORMAL 672.298156 672.298156 0 H(44)C(37)N(4)O(6)S(1)' mod_dict['CyDye-Cy5[C]'] = 'C NORMAL 684.298156 684.298156 0 H(44)C(38)N(4)O(6)S(1)' mod_dict['Cyano[C]'] = 'C NORMAL 24.995249 24.995249 0 H(-1)C(1)N(1)' mod_dict['Cys->Ala[C]'] = 'C NORMAL -31.972071 -31.972071 0 S(-1)' mod_dict['Cys->Arg[C]'] = 'C NORMAL 53.091927 53.091927 0 H(7)C(3)N(3)S(-1)' mod_dict['Cys->Asn[C]'] = 'C NORMAL 11.033743 11.033743 0 H(1)C(1)N(1)O(1)S(-1)' mod_dict['Cys->Asp[C]'] = 'C NORMAL 12.017759 12.017759 0 C(1)O(2)S(-1)' mod_dict['Cys->Dha[C]'] = 'C NORMAL -33.987721 -33.987721 0 H(-2)S(-1)' mod_dict['Cys->Gln[C]'] = 'C NORMAL 25.049393 25.049393 0 H(3)C(2)N(1)O(1)S(-1)' mod_dict['Cys->Glu[C]'] = 'C NORMAL 26.033409 26.033409 0 H(2)C(2)O(2)S(-1)' mod_dict['Cys->Gly[C]'] = 'C NORMAL -45.987721 -45.987721 0 H(-2)C(-1)S(-1)' mod_dict['Cys->His[C]'] = 'C NORMAL 34.049727 34.049727 0 H(2)C(3)N(2)S(-1)' mod_dict['Cys->Lys[C]'] = 'C NORMAL 25.085779 25.085779 0 H(7)C(3)N(1)S(-1)' mod_dict['Cys->Met[C]'] = 'C NORMAL 28.031300 28.031300 0 H(4)C(2)' mod_dict['Cys->Oxoalanine[C]'] = 'C NORMAL -17.992806 -17.992806 0 H(-2)O(1)S(-1)' mod_dict['Cys->Phe[C]'] = 'C NORMAL 44.059229 44.059229 0 H(4)C(6)S(-1)' mod_dict['Cys->Pro[C]'] = 'C NORMAL -5.956421 -5.956421 0 H(2)C(2)S(-1)' mod_dict['Cys->PyruvicAcid[ProteinN-termC]'] = 'C PRO_N -33.003705 -33.003705 0 H(-3)N(-1)O(1)S(-1)' mod_dict['Cys->Ser[C]'] = 'C NORMAL -15.977156 -15.977156 0 O(1)S(-1)' mod_dict['Cys->Thr[C]'] = 'C NORMAL -1.961506 -1.961506 0 H(2)C(1)O(1)S(-1)' mod_dict['Cys->Trp[C]'] = 'C NORMAL 83.070128 83.070128 0 H(5)C(8)N(1)S(-1)' mod_dict['Cys->Tyr[C]'] = 'C NORMAL 60.054144 60.054144 0 H(4)C(6)O(1)S(-1)' mod_dict['Cys->Val[C]'] = 'C NORMAL -3.940771 -3.940771 0 H(4)C(2)S(-1)' mod_dict['Cys->Xle[C]'] = 'C NORMAL 10.074880 10.074880 0 H(6)C(3)S(-1)' mod_dict['Cys->ethylaminoAla[C]'] = 'C NORMAL 11.070128 11.070128 0 H(5)C(2)N(1)S(-1)' mod_dict['Cys->methylaminoAla[C]'] = 'C NORMAL -2.945522 -2.945522 0 H(3)C(1)N(1)S(-1)' mod_dict['Cysteinyl[C]'] = 'C NORMAL 119.004099 119.004099 0 H(5)C(3)N(1)O(2)S(1)' mod_dict['Cytopiloyne+water[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 380.147118 380.147118 0 H(24)C(19)O(8)' mod_dict['Cytopiloyne+water[C]'] = 'C NORMAL 380.147118 380.147118 0 H(24)C(19)O(8)' mod_dict['Cytopiloyne+water[K]'] = 'K NORMAL 380.147118 380.147118 0 H(24)C(19)O(8)' mod_dict['Cytopiloyne+water[R]'] = 'R NORMAL 380.147118 380.147118 0 H(24)C(19)O(8)' mod_dict['Cytopiloyne+water[S]'] = 'S NORMAL 380.147118 380.147118 0 H(24)C(19)O(8)' mod_dict['Cytopiloyne+water[T]'] = 'T NORMAL 380.147118 380.147118 0 H(24)C(19)O(8)' mod_dict['Cytopiloyne+water[Y]'] = 'Y NORMAL 380.147118 380.147118 0 H(24)C(19)O(8)' mod_dict['Cytopiloyne[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 362.136553 362.136553 0 H(22)C(19)O(7)' mod_dict['Cytopiloyne[C]'] = 'C NORMAL 362.136553 362.136553 0 H(22)C(19)O(7)' mod_dict['Cytopiloyne[K]'] = 'K NORMAL 362.136553 362.136553 0 H(22)C(19)O(7)' mod_dict['Cytopiloyne[P]'] = 'P NORMAL 362.136553 362.136553 0 H(22)C(19)O(7)' mod_dict['Cytopiloyne[R]'] = 'R NORMAL 362.136553 362.136553 0 H(22)C(19)O(7)' mod_dict['Cytopiloyne[S]'] = 'S NORMAL 362.136553 362.136553 0 H(22)C(19)O(7)' mod_dict['Cytopiloyne[Y]'] = 'Y NORMAL 362.136553 362.136553 0 H(22)C(19)O(7)' mod_dict['DAET[S]'] = 'S NORMAL 87.050655 87.050655 0 H(9)C(4)N(1)O(-1)S(1)' mod_dict['DAET[T]'] = 'T NORMAL 87.050655 87.050655 0 H(9)C(4)N(1)O(-1)S(1)' mod_dict['DEDGFLYMVYASQETFG[K]'] = 'K NORMAL 1970.824411 1970.824411 1 18.010565 18.010565 H(122)C(89)N(18)O(31)S(1)' mod_dict['DFDNB[K]'] = 'K NORMAL 203.998263 203.998263 0 H(2)C(6)N(2)O(4)F(2)' mod_dict['DFDNB[N]'] = 'N NORMAL 203.998263 203.998263 0 H(2)C(6)N(2)O(4)F(2)' mod_dict['DFDNB[Q]'] = 'Q NORMAL 203.998263 203.998263 0 H(2)C(6)N(2)O(4)F(2)' mod_dict['DFDNB[R]'] = 'R NORMAL 203.998263 203.998263 0 H(2)C(6)N(2)O(4)F(2)' mod_dict['DHP[C]'] = 'C NORMAL 118.065674 118.065674 0 H(8)C(8)N(1)' mod_dict['DMPO[C]'] = 'C NORMAL 111.068414 111.068414 0 H(9)C(6)N(1)O(1)' mod_dict['DMPO[H]'] = 'H NORMAL 111.068414 111.068414 0 H(9)C(6)N(1)O(1)' mod_dict['DMPO[Y]'] = 'Y NORMAL 111.068414 111.068414 0 H(9)C(6)N(1)O(1)' mod_dict['DNCB_hapten[C]'] = 'C NORMAL 166.001457 166.001457 0 H(2)C(6)N(2)O(4)' mod_dict['DNCB_hapten[H]'] = 'H NORMAL 166.001457 166.001457 0 H(2)C(6)N(2)O(4)' mod_dict['DNCB_hapten[K]'] = 'K NORMAL 166.001457 166.001457 0 H(2)C(6)N(2)O(4)' mod_dict['DNCB_hapten[Y]'] = 'Y NORMAL 166.001457 166.001457 0 H(2)C(6)N(2)O(4)' mod_dict['DNPS[C]'] = 'C NORMAL 198.981352 198.981352 0 H(3)C(6)N(2)O(4)S(1)' mod_dict['DNPS[W]'] = 'W NORMAL 198.981352 198.981352 0 H(3)C(6)N(2)O(4)S(1)' mod_dict['DTBP[K]'] = 'K NORMAL 87.014270 87.014270 0 H(5)C(3)N(1)S(1)' mod_dict['DTBP[N]'] = 'N NORMAL 87.014270 87.014270 0 H(5)C(3)N(1)S(1)' mod_dict['DTBP[Q]'] = 'Q NORMAL 87.014270 87.014270 0 H(5)C(3)N(1)S(1)' mod_dict['DTBP[R]'] = 'R NORMAL 87.014270 87.014270 0 H(5)C(3)N(1)S(1)' mod_dict['DTBP[ProteinN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PRO_N 87.014270 87.014270 0 H(5)C(3)N(1)S(1)' mod_dict['DTT_C_2H(6)[C]'] = 'C NORMAL 126.062161 126.062161 0 H(2)2H(6)C(4)O(2)S(1)' mod_dict['DTT_ST[S]'] = 'S NORMAL 136.001656 136.001656 0 H(8)C(4)O(1)S(2)' mod_dict['DTT_ST[T]'] = 'T NORMAL 136.001656 136.001656 0 H(8)C(4)O(1)S(2)' mod_dict['DTT_ST_2H(6)[S]'] = 'S NORMAL 142.039317 142.039317 0 H(2)2H(6)C(4)O(1)S(2)' mod_dict['DTT_ST_2H(6)[T]'] = 'T NORMAL 142.039317 142.039317 0 H(2)2H(6)C(4)O(1)S(2)' mod_dict['Dansyl[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 233.051049 233.051049 0 H(11)C(12)N(1)O(2)S(1)' mod_dict['Dansyl[K]'] = 'K NORMAL 233.051049 233.051049 0 H(11)C(12)N(1)O(2)S(1)' mod_dict['Dap-DSP[A]'] = 'A NORMAL 328.055148 328.055148 0 H(16)C(13)N(2)O(4)S(2)' mod_dict['Dap-DSP[E]'] = 'E NORMAL 328.055148 328.055148 0 H(16)C(13)N(2)O(4)S(2)' mod_dict['Dap-DSP[K]'] = 'K NORMAL 328.055148 328.055148 0 H(16)C(13)N(2)O(4)S(2)' mod_dict['DeStreak[C]'] = 'C NORMAL 75.998285 75.998285 0 H(4)C(2)O(1)S(1)' mod_dict['Deamidated[N]'] = 'N NORMAL 0.984016 0.984016 0 H(-1)N(-1)O(1)' mod_dict['Deamidated[Q]'] = 'Q NORMAL 0.984016 0.984016 0 H(-1)N(-1)O(1)' mod_dict['Deamidated[R]'] = 'R NORMAL 0.984016 0.984016 0 H(-1)N(-1)O(1)' mod_dict['Deamidated[ProteinN-termF]'] = 'F PRO_N 0.984016 0.984016 0 H(-1)N(-1)O(1)' mod_dict['Deamidated_18O(1)[Q]'] = 'Q NORMAL 2.988261 2.988261 0 H(-1)N(-1)18O(1)' mod_dict['Decanoyl[S]'] = 'S NORMAL 154.135765 154.135765 0 H(18)C(10)O(1)' mod_dict['Decanoyl[T]'] = 'T NORMAL 154.135765 154.135765 0 H(18)C(10)O(1)' mod_dict['Dehydrated[AnyN-termC]'] = 'C PEP_N -18.010565 -18.010565 0 H(-2)O(-1)' mod_dict['Dehydrated[D]'] = 'D NORMAL -18.010565 -18.010565 0 H(-2)O(-1)' mod_dict['Dehydrated[S]'] = 'S NORMAL -18.010565 -18.010565 0 H(-2)O(-1)' mod_dict['Dehydrated[T]'] = 'T NORMAL -18.010565 -18.010565 0 H(-2)O(-1)' mod_dict['Dehydrated[Y]'] = 'Y NORMAL -18.010565 -18.010565 0 H(-2)O(-1)' mod_dict['Dehydrated[ProteinC-termN]'] = 'N PRO_C -18.010565 -18.010565 0 H(-2)O(-1)' mod_dict['Dehydrated[ProteinC-termQ]'] = 'Q PRO_C -18.010565 -18.010565 0 H(-2)O(-1)' mod_dict['Dehydro[C]'] = 'C NORMAL -1.007825 -1.007825 0 H(-1)' mod_dict['Delta_H(1)O(-1)18O(1)[N]'] = 'N NORMAL 2.988261 2.988261 0 H(-1)N(-1)18O(1)' mod_dict['Delta_H(2)C(2)[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 26.015650 26.015650 0 H(2)C(2)' mod_dict['Delta_H(2)C(2)[H]'] = 'H NORMAL 26.015650 26.015650 0 H(2)C(2)' mod_dict['Delta_H(2)C(2)[K]'] = 'K NORMAL 26.015650 26.015650 0 H(2)C(2)' mod_dict['Delta_H(2)C(2)[ProteinN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PRO_N 26.015650 26.015650 0 H(2)C(2)' mod_dict['Delta_H(2)C(3)[K]'] = 'K NORMAL 38.015650 38.015650 0 H(2)C(3)' mod_dict['Delta_H(2)C(3)O(1)[K]'] = 'K NORMAL 54.010565 54.010565 0 H(2)C(3)O(1)' mod_dict['Delta_H(2)C(5)[K]'] = 'K NORMAL 62.015650 62.015650 0 H(2)C(5)' mod_dict['Delta_H(4)C(2)[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 28.031300 28.031300 0 H(4)C(2)' mod_dict['Delta_H(4)C(2)[H]'] = 'H NORMAL 28.031300 28.031300 0 H(4)C(2)' mod_dict['Delta_H(4)C(2)[K]'] = 'K NORMAL 28.031300 28.031300 0 H(4)C(2)' mod_dict['Delta_H(4)C(2)O(-1)S(1)[S]'] = 'S NORMAL 44.008456 44.008456 0 H(4)C(2)O(-1)S(1)' mod_dict['Delta_H(4)C(3)[H]'] = 'H NORMAL 40.031300 40.031300 0 H(4)C(3)' mod_dict['Delta_H(4)C(3)[K]'] = 'K NORMAL 40.031300 40.031300 0 H(4)C(3)' mod_dict['Delta_H(4)C(3)[ProteinN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PRO_N 40.031300 40.031300 0 H(4)C(3)' mod_dict['Delta_H(4)C(3)O(1)[C]'] = 'C NORMAL 56.026215 56.026215 0 H(4)C(3)O(1)' mod_dict['Delta_H(4)C(3)O(1)[H]'] = 'H NORMAL 56.026215 56.026215 0 H(4)C(3)O(1)' mod_dict['Delta_H(4)C(6)[K]'] = 'K NORMAL 76.031300 76.031300 0 H(4)C(6)' mod_dict['Delta_H(5)C(2)[P]'] = 'P NORMAL 29.039125 29.039125 0 H(5)C(2)' mod_dict['Delta_H(6)C(3)O(1)[C]'] = 'C NORMAL 58.041865 58.041865 0 H(6)C(3)O(1)' mod_dict['Delta_H(6)C(3)O(1)[H]'] = 'H NORMAL 58.041865 58.041865 0 H(6)C(3)O(1)' mod_dict['Delta_H(6)C(3)O(1)[K]'] = 'K NORMAL 58.041865 58.041865 0 H(6)C(3)O(1)' mod_dict['Delta_H(6)C(3)O(1)[ProteinN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PRO_N 58.041865 58.041865 0 H(6)C(3)O(1)' mod_dict['Delta_H(6)C(6)O(1)[K]'] = 'K NORMAL 94.041865 94.041865 0 H(6)C(6)O(1)' mod_dict['Delta_H(8)C(6)O(1)[L]'] = 'L NORMAL 96.057515 96.057515 0 H(8)C(6)O(1)' mod_dict['Delta_H(8)C(6)O(1)[ProteinN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PRO_N 96.057515 96.057515 0 H(8)C(6)O(1)' mod_dict['Delta_H(8)C(6)O(2)[K]'] = 'K NORMAL 112.052430 112.052430 0 H(8)C(6)O(2)' mod_dict['Delta_Hg(1)[C]'] = 'C NORMAL 201.970617 201.970617 0 Hg(1)' mod_dict['Delta_S(-1)Se(1)[C]'] = 'C NORMAL 47.944449 47.944449 0 S(-1)Se(1)' mod_dict['Delta_S(-1)Se(1)[M]'] = 'M NORMAL 47.944449 47.944449 0 S(-1)Se(1)' mod_dict['Delta_Se(1)[C]'] = 'C NORMAL 79.916520 79.916520 0 Se(1)' mod_dict['Deoxy[D]'] = 'D NORMAL -15.994915 -15.994915 0 O(-1)' mod_dict['Deoxy[S]'] = 'S NORMAL -15.994915 -15.994915 0 O(-1)' mod_dict['Deoxy[T]'] = 'T NORMAL -15.994915 -15.994915 0 O(-1)' mod_dict['Deoxyhypusine[K]'] = 'K NORMAL 71.073499 71.073499 0 H(9)C(4)N(1)' mod_dict['Dethiomethyl[M]'] = 'M NORMAL -48.003371 -48.003371 0 H(-4)C(-1)S(-1)' mod_dict['DiART6plex[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 217.162932 217.162932 0 H(20)C(7)13C(4)N(1)15N(1)O(2)' mod_dict['DiART6plex[K]'] = 'K NORMAL 217.162932 217.162932 0 H(20)C(7)13C(4)N(1)15N(1)O(2)' mod_dict['DiART6plex[Y]'] = 'Y NORMAL 217.162932 217.162932 0 H(20)C(7)13C(4)N(1)15N(1)O(2)' mod_dict['DiART6plex[ProteinN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PRO_N 217.162932 217.162932 0 H(20)C(7)13C(4)N(1)15N(1)O(2)' mod_dict['DiART6plex115[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 217.156612 217.156612 0 H(20)C(8)13C(3)15N(2)O(2)' mod_dict['DiART6plex115[K]'] = 'K NORMAL 217.156612 217.156612 0 H(20)C(8)13C(3)15N(2)O(2)' mod_dict['DiART6plex115[Y]'] = 'Y NORMAL 217.156612 217.156612 0 H(20)C(8)13C(3)15N(2)O(2)' mod_dict['DiART6plex115[ProteinN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PRO_N 217.156612 217.156612 0 H(20)C(8)13C(3)15N(2)O(2)' mod_dict['DiART6plex116/119[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 217.168776 217.168776 0 H(18)2H(2)C(9)13C(2)N(1)15N(1)O(2)' mod_dict['DiART6plex116/119[K]'] = 'K NORMAL 217.168776 217.168776 0 H(18)2H(2)C(9)13C(2)N(1)15N(1)O(2)' mod_dict['DiART6plex116/119[Y]'] = 'Y NORMAL 217.168776 217.168776 0 H(18)2H(2)C(9)13C(2)N(1)15N(1)O(2)' mod_dict['DiART6plex116/119[ProteinN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PRO_N 217.168776 217.168776 0 H(18)2H(2)C(9)13C(2)N(1)15N(1)O(2)' mod_dict['DiART6plex117[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 217.162456 217.162456 0 H(18)2H(2)C(10)13C(1)15N(2)O(2)' mod_dict['DiART6plex117[K]'] = 'K NORMAL 217.162456 217.162456 0 H(18)2H(2)C(10)13C(1)15N(2)O(2)' mod_dict['DiART6plex117[Y]'] = 'Y NORMAL 217.162456 217.162456 0 H(18)2H(2)C(10)13C(1)15N(2)O(2)' mod_dict['DiART6plex117[ProteinN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PRO_N 217.162456 217.162456 0 H(18)2H(2)C(10)13C(1)15N(2)O(2)' mod_dict['DiART6plex118[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 217.175096 217.175096 0 H(18)2H(2)C(8)13C(3)N(2)O(2)' mod_dict['DiART6plex118[K]'] = 'K NORMAL 217.175096 217.175096 0 H(18)2H(2)C(8)13C(3)N(2)O(2)' mod_dict['DiART6plex118[Y]'] = 'Y NORMAL 217.175096 217.175096 0 H(18)2H(2)C(8)13C(3)N(2)O(2)' mod_dict['DiART6plex118[ProteinN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PRO_N 217.175096 217.175096 0 H(18)2H(2)C(8)13C(3)N(2)O(2)' mod_dict['DiDehydro[C]'] = 'C NORMAL -2.015650 -2.015650 0 H(-2)' mod_dict['DiLeu4plex[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 145.132163 145.132163 0 H(13)2H(2)C(8)N(1)18O(1)' mod_dict['DiLeu4plex[K]'] = 'K NORMAL 145.132163 145.132163 0 H(13)2H(2)C(8)N(1)18O(1)' mod_dict['DiLeu4plex[Y]'] = 'Y NORMAL 145.132163 145.132163 0 H(13)2H(2)C(8)N(1)18O(1)' mod_dict['DiLeu4plex115[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 145.120000 145.120000 0 H(15)C(7)13C(1)15N(1)18O(1)' mod_dict['DiLeu4plex115[K]'] = 'K NORMAL 145.120000 145.120000 0 H(15)C(7)13C(1)15N(1)18O(1)' mod_dict['DiLeu4plex115[Y]'] = 'Y NORMAL 145.120000 145.120000 0 H(15)C(7)13C(1)15N(1)18O(1)' mod_dict['DiLeu4plex117[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 145.128307 145.128307 0 H(13)2H(2)C(7)13C(1)15N(1)O(1)' mod_dict['DiLeu4plex117[K]'] = 'K NORMAL 145.128307 145.128307 0 H(13)2H(2)C(7)13C(1)15N(1)O(1)' mod_dict['DiLeu4plex117[Y]'] = 'Y NORMAL 145.128307 145.128307 0 H(13)2H(2)C(7)13C(1)15N(1)O(1)' mod_dict['DiLeu4plex118[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 145.140471 145.140471 0 H(11)2H(4)C(8)N(1)O(1)' mod_dict['DiLeu4plex118[K]'] = 'K NORMAL 145.140471 145.140471 0 H(11)2H(4)C(8)N(1)O(1)' mod_dict['DiLeu4plex118[Y]'] = 'Y NORMAL 145.140471 145.140471 0 H(11)2H(4)C(8)N(1)O(1)' mod_dict['Diacylglycerol[C]'] = 'C NORMAL 576.511761 576.511761 0 H(68)C(37)O(4)' mod_dict['Dibromo[Y]'] = 'Y NORMAL 155.821022 155.821022 0 H(-2)Br(2)' mod_dict['Dicarbamidomethyl[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 114.042927 114.042927 0 H(6)C(4)N(2)O(2)' mod_dict['Dicarbamidomethyl[C]'] = 'C NORMAL 114.042927 114.042927 0 H(6)C(4)N(2)O(2)' mod_dict['Dicarbamidomethyl[H]'] = 'H NORMAL 114.042927 114.042927 0 H(6)C(4)N(2)O(2)' mod_dict['Dicarbamidomethyl[K]'] = 'K NORMAL 114.042927 114.042927 0 H(6)C(4)N(2)O(2)' mod_dict['Dicarbamidomethyl[R]'] = 'R NORMAL 114.042927 114.042927 0 H(6)C(4)N(2)O(2)' mod_dict['Didehydro[AnyC-termK]'] = 'K PEP_C -2.015650 -2.015650 0 H(-2)' mod_dict['Didehydro[S]'] = 'S NORMAL -2.015650 -2.015650 0 H(-2)' mod_dict['Didehydro[T]'] = 'T NORMAL -2.015650 -2.015650 0 H(-2)' mod_dict['Didehydro[Y]'] = 'Y NORMAL -2.015650 -2.015650 0 H(-2)' mod_dict['Didehydroretinylidene[K]'] = 'K NORMAL 264.187801 264.187801 0 H(24)C(20)' mod_dict['Diethyl[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 56.062600 56.062600 0 H(8)C(4)' mod_dict['Diethyl[K]'] = 'K NORMAL 56.062600 56.062600 0 H(8)C(4)' mod_dict['Diethylphosphate[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 136.028931 136.028931 0 H(9)C(4)O(3)P(1)' mod_dict['Diethylphosphate[C]'] = 'C NORMAL 136.028931 136.028931 0 H(9)C(4)O(3)P(1)' mod_dict['Diethylphosphate[H]'] = 'H NORMAL 136.028931 136.028931 0 H(9)C(4)O(3)P(1)' mod_dict['Diethylphosphate[K]'] = 'K NORMAL 136.028931 136.028931 0 H(9)C(4)O(3)P(1)' mod_dict['Diethylphosphate[S]'] = 'S NORMAL 136.028931 136.028931 0 H(9)C(4)O(3)P(1)' mod_dict['Diethylphosphate[T]'] = 'T NORMAL 136.028931 136.028931 0 H(9)C(4)O(3)P(1)' mod_dict['Diethylphosphate[Y]'] = 'Y NORMAL 136.028931 136.028931 0 H(9)C(4)O(3)P(1)' mod_dict['Difuran[Y]'] = 'Y NORMAL 132.021129 132.021129 0 H(4)C(8)O(2)' mod_dict['Dihydroxyimidazolidine[R]'] = 'R NORMAL 72.021129 72.021129 0 H(4)C(3)O(2)' mod_dict['Diiodo[H]'] = 'H NORMAL 251.793296 251.793296 0 H(-2)I(2)' mod_dict['Diiodo[Y]'] = 'Y NORMAL 251.793296 251.793296 0 H(-2)I(2)' mod_dict['Diironsubcluster[C]'] = 'C NORMAL 342.786916 342.786916 0 H(-1)C(5)N(2)O(5)S(2)Fe(2)' mod_dict['Diisopropylphosphate[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 164.060231 164.060231 0 H(13)C(6)O(3)P(1)' mod_dict['Diisopropylphosphate[K]'] = 'K NORMAL 164.060231 164.060231 0 H(13)C(6)O(3)P(1)' mod_dict['Diisopropylphosphate[S]'] = 'S NORMAL 164.060231 164.060231 0 H(13)C(6)O(3)P(1)' mod_dict['Diisopropylphosphate[T]'] = 'T NORMAL 164.060231 164.060231 0 H(13)C(6)O(3)P(1)' mod_dict['Diisopropylphosphate[Y]'] = 'Y NORMAL 164.060231 164.060231 0 H(13)C(6)O(3)P(1)' mod_dict['Dimethyl[N]'] = 'N NORMAL 28.031300 28.031300 0 H(4)C(2)' mod_dict['Dimethyl[R]'] = 'R NORMAL 28.031300 28.031300 0 H(4)C(2)' mod_dict['Dimethyl[ProteinN-termP]'] = 'P PRO_N 28.031300 28.031300 0 H(4)C(2)' mod_dict['DimethylArsino[C]'] = 'C NORMAL 103.960719 103.960719 0 H(5)C(2)As(1)' mod_dict['Dimethyl_2H(4)[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 32.056407 32.056407 0 2H(4)C(2)' mod_dict['Dimethyl_2H(4)[K]'] = 'K NORMAL 32.056407 32.056407 0 2H(4)C(2)' mod_dict['Dimethyl_2H(4)[ProteinN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PRO_N 32.056407 32.056407 0 2H(4)C(2)' mod_dict['Dimethyl_2H(4)13C(2)[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 34.063117 34.063117 0 2H(4)13C(2)' mod_dict['Dimethyl_2H(4)13C(2)[K]'] = 'K NORMAL 34.063117 34.063117 0 2H(4)13C(2)' mod_dict['Dimethyl_2H(6)[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 34.068961 34.068961 0 H(-2)2H(6)C(2)' mod_dict['Dimethyl_2H(6)[K]'] = 'K NORMAL 34.068961 34.068961 0 H(-2)2H(6)C(2)' mod_dict['Dimethyl_2H(6)[R]'] = 'R NORMAL 34.068961 34.068961 0 H(-2)2H(6)C(2)' mod_dict['Dimethyl_2H(6)13C(2)[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 36.075670 36.075670 0 H(-2)2H(6)13C(2)' mod_dict['Dimethyl_2H(6)13C(2)[K]'] = 'K NORMAL 36.075670 36.075670 0 H(-2)2H(6)13C(2)' mod_dict['Dimethyl_2H(6)13C(2)[R]'] = 'R NORMAL 36.075670 36.075670 0 H(-2)2H(6)13C(2)' mod_dict['DimethylamineGMBS[C]'] = 'C NORMAL 267.158292 267.158292 0 H(21)C(13)N(3)O(3)' mod_dict['DimethylpyrroleAdduct[K]'] = 'K NORMAL 78.046950 78.046950 0 H(6)C(6)' mod_dict['Dioxidation[C]'] = 'C NORMAL 31.989829 31.989829 0 O(2)' mod_dict['Dioxidation[F]'] = 'F NORMAL 31.989829 31.989829 0 O(2)' mod_dict['Dioxidation[K]'] = 'K NORMAL 31.989829 31.989829 0 O(2)' mod_dict['Dioxidation[M]'] = 'M NORMAL 31.989829 31.989829 0 O(2)' mod_dict['Dioxidation[P]'] = 'P NORMAL 31.989829 31.989829 0 O(2)' mod_dict['Dioxidation[R]'] = 'R NORMAL 31.989829 31.989829 0 O(2)' mod_dict['Dioxidation[W]'] = 'W NORMAL 31.989829 31.989829 0 O(2)' mod_dict['Dioxidation[Y]'] = 'Y NORMAL 31.989829 31.989829 0 O(2)' mod_dict['Diphthamide[H]'] = 'H NORMAL 143.118438 143.118438 0 H(15)C(7)N(2)O(1)' mod_dict['Dipyridyl[C]'] = 'C NORMAL 225.090212 225.090212 0 H(11)C(13)N(3)O(1)' mod_dict['Dipyrrolylmethanemethyl[C]'] = 'C NORMAL 418.137616 418.137616 0 H(22)C(20)N(2)O(8)' mod_dict['DyLight-maleimide[C]'] = 'C NORMAL 940.199900 940.199900 0 H(48)C(39)N(4)O(15)S(4)' mod_dict['EDT-iodoacetyl-PEO-biotin[S]'] = 'S NORMAL 490.174218 490.174218 0 H(34)C(20)N(4)O(4)S(3)' mod_dict['EDT-iodoacetyl-PEO-biotin[T]'] = 'T NORMAL 490.174218 490.174218 0 H(34)C(20)N(4)O(4)S(3)' mod_dict['EDT-maleimide-PEO-biotin[S]'] = 'S NORMAL 601.206246 601.206246 0 H(39)C(25)N(5)O(6)S(3)' mod_dict['EDT-maleimide-PEO-biotin[T]'] = 'T NORMAL 601.206246 601.206246 0 H(39)C(25)N(5)O(6)S(3)' mod_dict['EGCG1[C]'] = 'C NORMAL 456.069261 456.069261 0 H(16)C(22)O(11)' mod_dict['EGCG2[C]'] = 'C NORMAL 287.055563 287.055563 0 H(11)C(15)O(6)' mod_dict['EHD-diphenylpentanone[C]'] = 'C NORMAL 266.130680 266.130680 0 H(18)C(18)O(2)' mod_dict['EHD-diphenylpentanone[M]'] = 'M NORMAL 266.130680 266.130680 0 H(18)C(18)O(2)' mod_dict['EQAT[C]'] = 'C NORMAL 184.157563 184.157563 0 H(20)C(10)N(2)O(1)' mod_dict['EQAT_2H(5)[C]'] = 'C NORMAL 189.188947 189.188947 0 H(15)2H(5)C(10)N(2)O(1)' mod_dict['EQIGG[K]'] = 'K NORMAL 484.228162 484.228162 0 H(32)C(20)N(6)O(8)' mod_dict['ESP[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 338.177647 338.177647 0 H(26)C(16)N(4)O(2)S(1)' mod_dict['ESP[K]'] = 'K NORMAL 338.177647 338.177647 0 H(26)C(16)N(4)O(2)S(1)' mod_dict['ESP_2H(10)[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 348.240414 348.240414 0 H(16)2H(10)C(16)N(4)O(2)S(1)' mod_dict['ESP_2H(10)[K]'] = 'K NORMAL 348.240414 348.240414 0 H(16)2H(10)C(16)N(4)O(2)S(1)' mod_dict['Ethanedithiol[S]'] = 'S NORMAL 75.980527 75.980527 0 H(4)C(2)O(-1)S(2)' mod_dict['Ethanedithiol[T]'] = 'T NORMAL 75.980527 75.980527 0 H(4)C(2)O(-1)S(2)' mod_dict['Ethanolamine[AnyC-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_C 43.042199 43.042199 0 H(5)C(2)N(1)' mod_dict['Ethanolamine[C]'] = 'C NORMAL 43.042199 43.042199 0 H(5)C(2)N(1)' mod_dict['Ethanolamine[D]'] = 'D NORMAL 43.042199 43.042199 0 H(5)C(2)N(1)' mod_dict['Ethanolamine[E]'] = 'E NORMAL 43.042199 43.042199 0 H(5)C(2)N(1)' mod_dict['Ethanolyl[C]'] = 'C NORMAL 44.026215 44.026215 0 H(4)C(2)O(1)' mod_dict['Ethanolyl[K]'] = 'K NORMAL 44.026215 44.026215 0 H(4)C(2)O(1)' mod_dict['Ethanolyl[R]'] = 'R NORMAL 44.026215 44.026215 0 H(4)C(2)O(1)' mod_dict['Ethoxyformyl[H]'] = 'H NORMAL 73.028954 73.028954 0 H(5)C(3)O(2)' mod_dict['Ethyl+Deamidated[N]'] = 'N NORMAL 29.015316 29.015316 0 H(3)C(2)N(-1)O(1)' mod_dict['Ethyl+Deamidated[Q]'] = 'Q NORMAL 29.015316 29.015316 0 H(3)C(2)N(-1)O(1)' mod_dict['Ethyl[AnyC-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_C 28.031300 28.031300 0 H(4)C(2)' mod_dict['Ethyl[D]'] = 'D NORMAL 28.031300 28.031300 0 H(4)C(2)' mod_dict['Ethyl[E]'] = 'E NORMAL 28.031300 28.031300 0 H(4)C(2)' mod_dict['Ethyl[ProteinN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PRO_N 28.031300 28.031300 0 H(4)C(2)' mod_dict['Ethylphosphate[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 107.997631 107.997631 0 H(5)C(2)O(3)P(1)' mod_dict['Ethylphosphate[K]'] = 'K NORMAL 107.997631 107.997631 0 H(5)C(2)O(3)P(1)' mod_dict['ExacTagAmine[K]'] = 'K NORMAL 1046.347854 1046.347854 0 H(52)C(25)13C(12)N(8)15N(6)O(19)S(1)' mod_dict['ExacTagThiol[C]'] = 'C NORMAL 972.365219 972.365219 0 H(50)C(23)13C(12)N(8)15N(6)O(18)' mod_dict['FAD[C]'] = 'C NORMAL 783.141486 783.141486 0 H(31)C(27)N(9)O(15)P(2)' mod_dict['FAD[H]'] = 'H NORMAL 783.141486 783.141486 0 H(31)C(27)N(9)O(15)P(2)' mod_dict['FAD[Y]'] = 'Y NORMAL 783.141486 783.141486 0 H(31)C(27)N(9)O(15)P(2)' mod_dict['FMN[S]'] = 'S NORMAL 438.094051 438.094051 0 H(19)C(17)N(4)O(8)P(1)' mod_dict['FMN[T]'] = 'T NORMAL 438.094051 438.094051 0 H(19)C(17)N(4)O(8)P(1)' mod_dict['FMNC[C]'] = 'C NORMAL 456.104615 456.104615 0 H(21)C(17)N(4)O(9)P(1)' mod_dict['FMNH[C]'] = 'C NORMAL 454.088965 454.088965 0 H(19)C(17)N(4)O(9)P(1)' mod_dict['FMNH[H]'] = 'H NORMAL 454.088965 454.088965 0 H(19)C(17)N(4)O(9)P(1)' mod_dict['FNEM[C]'] = 'C NORMAL 427.069202 427.069202 0 H(13)C(24)N(1)O(7)' mod_dict['FP-Biotin[K]'] = 'K NORMAL 572.316129 572.316129 0 H(49)C(27)N(4)O(5)P(1)S(1)' mod_dict['FP-Biotin[S]'] = 'S NORMAL 572.316129 572.316129 0 H(49)C(27)N(4)O(5)P(1)S(1)' mod_dict['FP-Biotin[T]'] = 'T NORMAL 572.316129 572.316129 0 H(49)C(27)N(4)O(5)P(1)S(1)' mod_dict['FP-Biotin[Y]'] = 'Y NORMAL 572.316129 572.316129 0 H(49)C(27)N(4)O(5)P(1)S(1)' mod_dict['FTC[C]'] = 'C NORMAL 421.073241 421.073241 0 H(15)C(21)N(3)O(5)S(1)' mod_dict['FTC[K]'] = 'K NORMAL 421.073241 421.073241 0 H(15)C(21)N(3)O(5)S(1)' mod_dict['FTC[P]'] = 'P NORMAL 421.073241 421.073241 0 H(15)C(21)N(3)O(5)S(1)' mod_dict['FTC[R]'] = 'R NORMAL 421.073241 421.073241 0 H(15)C(21)N(3)O(5)S(1)' mod_dict['FTC[S]'] = 'S NORMAL 421.073241 421.073241 0 H(15)C(21)N(3)O(5)S(1)' mod_dict['Farnesyl[C]'] = 'C NORMAL 204.187801 204.187801 0 H(24)C(15)' mod_dict['Fluorescein[C]'] = 'C NORMAL 388.082112 388.082112 0 H(14)C(22)N(1)O(6)' mod_dict['Fluoro[A]'] = 'A NORMAL 17.990578 17.990578 0 H(-1)F(1)' mod_dict['Fluoro[F]'] = 'F NORMAL 17.990578 17.990578 0 H(-1)F(1)' mod_dict['Fluoro[W]'] = 'W NORMAL 17.990578 17.990578 0 H(-1)F(1)' mod_dict['Fluoro[Y]'] = 'Y NORMAL 17.990578 17.990578 0 H(-1)F(1)' mod_dict['Formyl[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 27.994915 27.994915 0 C(1)O(1)' mod_dict['Formyl[K]'] = 'K NORMAL 27.994915 27.994915 0 C(1)O(1)' mod_dict['Formyl[S]'] = 'S NORMAL 27.994915 27.994915 0 C(1)O(1)' mod_dict['Formyl[T]'] = 'T NORMAL 27.994915 27.994915 0 C(1)O(1)' mod_dict['Formyl[ProteinN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PRO_N 27.994915 27.994915 0 C(1)O(1)' mod_dict['FormylMet[ProteinN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PRO_N 159.035399 159.035399 0 H(9)C(6)N(1)O(2)S(1)' mod_dict['Furan[Y]'] = 'Y NORMAL 66.010565 66.010565 0 H(2)C(4)O(1)' mod_dict['G-H1[R]'] = 'R NORMAL 39.994915 39.994915 0 C(2)O(1)' mod_dict['GGQ[K]'] = 'K NORMAL 242.101505 242.101505 0 H(14)C(9)N(4)O(4)' mod_dict['GIST-Quat[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 127.099714 127.099714 1 59.073499 59.073499 H(13)C(7)N(1)O(1)' mod_dict['GIST-Quat[K]'] = 'K NORMAL 127.099714 127.099714 1 59.073499 59.073499 H(13)C(7)N(1)O(1)' mod_dict['GIST-Quat_2H(3)[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 130.118544 130.118544 1 62.092330 62.092330 H(10)2H(3)C(7)N(1)O(1)' mod_dict['GIST-Quat_2H(3)[K]'] = 'K NORMAL 130.118544 130.118544 1 62.092330 62.092330 H(10)2H(3)C(7)N(1)O(1)' mod_dict['GIST-Quat_2H(6)[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 133.137375 133.137375 1 65.111160 65.111160 H(7)2H(6)C(7)N(1)O(1)' mod_dict['GIST-Quat_2H(6)[K]'] = 'K NORMAL 133.137375 133.137375 1 65.111160 65.111160 H(7)2H(6)C(7)N(1)O(1)' mod_dict['GIST-Quat_2H(9)[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 136.156205 136.156205 1 68.129990 68.129990 H(4)2H(9)C(7)N(1)O(1)' mod_dict['GIST-Quat_2H(9)[K]'] = 'K NORMAL 136.156205 136.156205 1 68.129990 68.129990 H(4)2H(9)C(7)N(1)O(1)' mod_dict['GPIanchor[ProteinC-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PRO_C 123.008530 123.008530 0 H(6)C(2)N(1)O(3)P(1)' mod_dict['GeranylGeranyl[C]'] = 'C NORMAL 272.250401 272.250401 0 H(32)C(20)' mod_dict['Gln->Ala[Q]'] = 'Q NORMAL -57.021464 -57.021464 0 H(-3)C(-2)N(-1)O(-1)' mod_dict['Gln->Arg[Q]'] = 'Q NORMAL 28.042534 28.042534 0 H(4)C(1)N(2)O(-1)' mod_dict['Gln->Asn[Q]'] = 'Q NORMAL -14.015650 -14.015650 0 H(-2)C(-1)' mod_dict['Gln->Asp[Q]'] = 'Q NORMAL -13.031634 -13.031634 0 H(-3)C(-1)N(-1)O(1)' mod_dict['Gln->Cys[Q]'] = 'Q NORMAL -25.049393 -25.049393 0 H(-3)C(-2)N(-1)O(-1)S(1)' mod_dict['Gln->Gly[Q]'] = 'Q NORMAL -71.037114 -71.037114 0 H(-5)C(-3)N(-1)O(-1)' mod_dict['Gln->His[Q]'] = 'Q NORMAL 9.000334 9.000334 0 H(-1)C(1)N(1)O(-1)' mod_dict['Gln->Lys[Q]'] = 'Q NORMAL 0.036386 0.036386 0 H(4)C(1)O(-1)' mod_dict['Gln->Met[Q]'] = 'Q NORMAL 2.981907 2.981907 0 H(1)N(-1)O(-1)S(1)' mod_dict['Gln->Phe[Q]'] = 'Q NORMAL 19.009836 19.009836 0 H(1)C(4)N(-1)O(-1)' mod_dict['Gln->Pro[Q]'] = 'Q NORMAL -31.005814 -31.005814 0 H(-1)N(-1)O(-1)' mod_dict['Gln->Ser[Q]'] = 'Q NORMAL -41.026549 -41.026549 0 H(-3)C(-2)N(-1)' mod_dict['Gln->Thr[Q]'] = 'Q NORMAL -27.010899 -27.010899 0 H(-1)C(-1)N(-1)' mod_dict['Gln->Trp[Q]'] = 'Q NORMAL 58.020735 58.020735 0 H(2)C(6)O(-1)' mod_dict['Gln->Tyr[Q]'] = 'Q NORMAL 35.004751 35.004751 0 H(1)C(4)N(-1)' mod_dict['Gln->Val[Q]'] = 'Q NORMAL -28.990164 -28.990164 0 H(1)N(-1)O(-1)' mod_dict['Gln->Xle[Q]'] = 'Q NORMAL -14.974514 -14.974514 0 H(3)C(1)N(-1)O(-1)' mod_dict['Gln->pyro-Glu[AnyN-termQ]'] = 'Q PEP_N -17.026549 -17.026549 0 H(-3)N(-1)' mod_dict['Glu->Ala[E]'] = 'E NORMAL -58.005479 -58.005479 0 H(-2)C(-2)O(-2)' mod_dict['Glu->Arg[E]'] = 'E NORMAL 27.058518 27.058518 0 H(5)C(1)N(3)O(-2)' mod_dict['Glu->Asn[E]'] = 'E NORMAL -14.999666 -14.999666 0 H(-1)C(-1)N(1)O(-1)' mod_dict['Glu->Asp[E]'] = 'E NORMAL -14.015650 -14.015650 0 H(-2)C(-1)' mod_dict['Glu->Cys[E]'] = 'E NORMAL -26.033409 -26.033409 0 H(-2)C(-2)O(-2)S(1)' mod_dict['Glu->Gln[E]'] = 'E NORMAL -0.984016 -0.984016 0 H(1)N(1)O(-1)' mod_dict['Glu->Gly[E]'] = 'E NORMAL -72.021129 -72.021129 0 H(-4)C(-3)O(-2)' mod_dict['Glu->His[E]'] = 'E NORMAL 8.016319 8.016319 0 C(1)N(2)O(-2)' mod_dict['Glu->Lys[E]'] = 'E NORMAL -0.947630 -0.947630 0 H(5)C(1)N(1)O(-2)' mod_dict['Glu->Met[E]'] = 'E NORMAL 1.997892 1.997892 0 H(2)O(-2)S(1)' mod_dict['Glu->Phe[E]'] = 'E NORMAL 18.025821 18.025821 0 H(2)C(4)O(-2)' mod_dict['Glu->Pro[E]'] = 'E NORMAL -31.989829 -31.989829 0 O(-2)' mod_dict['Glu->Ser[E]'] = 'E NORMAL -42.010565 -42.010565 0 H(-2)C(-2)O(-1)' mod_dict['Glu->Thr[E]'] = 'E NORMAL -27.994915 -27.994915 0 C(-1)O(-1)' mod_dict['Glu->Trp[E]'] = 'E NORMAL 57.036720 57.036720 0 H(3)C(6)N(1)O(-2)' mod_dict['Glu->Tyr[E]'] = 'E NORMAL 34.020735 34.020735 0 H(2)C(4)O(-1)' mod_dict['Glu->Val[E]'] = 'E NORMAL -29.974179 -29.974179 0 H(2)O(-2)' mod_dict['Glu->Xle[E]'] = 'E NORMAL -15.958529 -15.958529 0 H(4)C(1)O(-2)' mod_dict['Glu->pyro-Glu[AnyN-termE]'] = 'E PEP_N -18.010565 -18.010565 0 H(-2)O(-1)' mod_dict['Glu[E]'] = 'E NORMAL 129.042593 129.042593 0 H(7)C(5)N(1)O(3)' mod_dict['Glu[ProteinC-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PRO_C 129.042593 129.042593 0 H(7)C(5)N(1)O(3)' mod_dict['GluGlu[E]'] = 'E NORMAL 258.085186 258.085186 0 H(14)C(10)N(2)O(6)' mod_dict['GluGlu[ProteinC-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PRO_C 258.085186 258.085186 0 H(14)C(10)N(2)O(6)' mod_dict['GluGluGlu[E]'] = 'E NORMAL 387.127779 387.127779 0 H(21)C(15)N(3)O(9)' mod_dict['GluGluGlu[ProteinC-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PRO_C 387.127779 387.127779 0 H(21)C(15)N(3)O(9)' mod_dict['GluGluGluGlu[E]'] = 'E NORMAL 516.170373 516.170373 0 H(28)C(20)N(4)O(12)' mod_dict['GluGluGluGlu[ProteinC-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PRO_C 516.170373 516.170373 0 H(28)C(20)N(4)O(12)' mod_dict['Gluconoylation[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 178.047738 178.047738 0 H(10)C(6)O(6)' mod_dict['Gluconoylation[K]'] = 'K NORMAL 178.047738 178.047738 0 H(10)C(6)O(6)' mod_dict['Glucosylgalactosyl[K]'] = 'K NORMAL 340.100562 340.100562 2 324.105647 324.105647 162.052823 162.052823 O(1)Hex(2)' mod_dict['Glucuronyl[S]'] = 'S NORMAL 176.032088 176.032088 0 H(8)C(6)O(6)' mod_dict['Glucuronyl[ProteinN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PRO_N 176.032088 176.032088 0 H(8)C(6)O(6)' mod_dict['Glutathione[C]'] = 'C NORMAL 305.068156 305.068156 0 H(15)C(10)N(3)O(6)S(1)' mod_dict['Gly->Ala[G]'] = 'G NORMAL 14.015650 14.015650 0 H(2)C(1)' mod_dict['Gly->Arg[G]'] = 'G NORMAL 99.079647 99.079647 0 H(9)C(4)N(3)' mod_dict['Gly->Asn[G]'] = 'G NORMAL 57.021464 57.021464 0 H(3)C(2)N(1)O(1)' mod_dict['Gly->Asp[G]'] = 'G NORMAL 58.005479 58.005479 0 H(2)C(2)O(2)' mod_dict['Gly->Cys[G]'] = 'G NORMAL 45.987721 45.987721 0 H(2)C(1)S(1)' mod_dict['Gly->Gln[G]'] = 'G NORMAL 71.037114 71.037114 0 H(5)C(3)N(1)O(1)' mod_dict['Gly->Glu[G]'] = 'G NORMAL 72.021129 72.021129 0 H(4)C(3)O(2)' mod_dict['Gly->His[G]'] = 'G NORMAL 80.037448 80.037448 0 H(4)C(4)N(2)' mod_dict['Gly->Lys[G]'] = 'G NORMAL 71.073499 71.073499 0 H(9)C(4)N(1)' mod_dict['Gly->Met[G]'] = 'G NORMAL 74.019021 74.019021 0 H(6)C(3)S(1)' mod_dict['Gly->Phe[G]'] = 'G NORMAL 90.046950 90.046950 0 H(6)C(7)' mod_dict['Gly->Pro[G]'] = 'G NORMAL 40.031300 40.031300 0 H(4)C(3)' mod_dict['Gly->Ser[G]'] = 'G NORMAL 30.010565 30.010565 0 H(2)C(1)O(1)' mod_dict['Gly->Thr[G]'] = 'G NORMAL 44.026215 44.026215 0 H(4)C(2)O(1)' mod_dict['Gly->Trp[G]'] = 'G NORMAL 129.057849 129.057849 0 H(7)C(9)N(1)' mod_dict['Gly->Tyr[G]'] = 'G NORMAL 106.041865 106.041865 0 H(6)C(7)O(1)' mod_dict['Gly->Val[G]'] = 'G NORMAL 42.046950 42.046950 0 H(6)C(3)' mod_dict['Gly->Xle[G]'] = 'G NORMAL 56.062600 56.062600 0 H(8)C(4)' mod_dict['Gly-loss+Amide[AnyC-termG]'] = 'G PEP_C -58.005479 -58.005479 0 H(-2)C(-2)O(-2)' mod_dict['GlyGly[S]'] = 'S NORMAL 114.042927 114.042927 0 H(6)C(4)N(2)O(2)' mod_dict['GlyGly[T]'] = 'T NORMAL 114.042927 114.042927 0 H(6)C(4)N(2)O(2)' mod_dict['Glycerophospho[S]'] = 'S NORMAL 154.003110 154.003110 0 H(7)C(3)O(5)P(1)' mod_dict['GlycerylPE[E]'] = 'E NORMAL 197.045310 197.045310 0 H(12)C(5)N(1)O(5)P(1)' mod_dict['Glycosyl[P]'] = 'P NORMAL 148.037173 148.037173 0 H(8)C(5)O(5)' mod_dict['Guanidinyl[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 42.021798 42.021798 0 H(2)C(1)N(2)' mod_dict['Guanidinyl[K]'] = 'K NORMAL 42.021798 42.021798 0 H(2)C(1)N(2)' mod_dict['HCysThiolactone[K]'] = 'K NORMAL 117.024835 117.024835 0 H(7)C(4)N(1)O(1)S(1)' mod_dict['HCysteinyl[C]'] = 'C NORMAL 133.019749 133.019749 0 H(7)C(4)N(1)O(2)S(1)' mod_dict['HMVK[C]'] = 'C NORMAL 86.036779 86.036779 0 H(6)C(4)O(2)' mod_dict['HN2_mustard[C]'] = 'C NORMAL 101.084064 101.084064 0 H(11)C(5)N(1)O(1)' mod_dict['HN2_mustard[H]'] = 'H NORMAL 101.084064 101.084064 0 H(11)C(5)N(1)O(1)' mod_dict['HN2_mustard[K]'] = 'K NORMAL 101.084064 101.084064 0 H(11)C(5)N(1)O(1)' mod_dict['HN3_mustard[C]'] = 'C NORMAL 131.094629 131.094629 0 H(13)C(6)N(1)O(2)' mod_dict['HN3_mustard[H]'] = 'H NORMAL 131.094629 131.094629 0 H(13)C(6)N(1)O(2)' mod_dict['HN3_mustard[K]'] = 'K NORMAL 131.094629 131.094629 0 H(13)C(6)N(1)O(2)' mod_dict['HNE+Delta_H(2)[C]'] = 'C NORMAL 158.130680 158.130680 0 H(18)C(9)O(2)' mod_dict['HNE+Delta_H(2)[H]'] = 'H NORMAL 158.130680 158.130680 0 H(18)C(9)O(2)' mod_dict['HNE+Delta_H(2)[K]'] = 'K NORMAL 158.130680 158.130680 0 H(18)C(9)O(2)' mod_dict['HNE-BAHAH[C]'] = 'C NORMAL 511.319226 511.319226 0 H(45)C(25)N(5)O(4)S(1)' mod_dict['HNE-BAHAH[H]'] = 'H NORMAL 511.319226 511.319226 0 H(45)C(25)N(5)O(4)S(1)' mod_dict['HNE-BAHAH[K]'] = 'K NORMAL 511.319226 511.319226 0 H(45)C(25)N(5)O(4)S(1)' mod_dict['HNE-Delta_H(2)O[C]'] = 'C NORMAL 138.104465 138.104465 0 H(14)C(9)O(1)' mod_dict['HNE-Delta_H(2)O[H]'] = 'H NORMAL 138.104465 138.104465 0 H(14)C(9)O(1)' mod_dict['HNE-Delta_H(2)O[K]'] = 'K NORMAL 138.104465 138.104465 0 H(14)C(9)O(1)' mod_dict['HNE[A]'] = 'A NORMAL 156.115030 156.115030 0 H(16)C(9)O(2)' mod_dict['HNE[C]'] = 'C NORMAL 156.115030 156.115030 0 H(16)C(9)O(2)' mod_dict['HNE[H]'] = 'H NORMAL 156.115030 156.115030 0 H(16)C(9)O(2)' mod_dict['HNE[K]'] = 'K NORMAL 156.115030 156.115030 0 H(16)C(9)O(2)' mod_dict['HNE[L]'] = 'L NORMAL 156.115030 156.115030 0 H(16)C(9)O(2)' mod_dict['HPG[R]'] = 'R NORMAL 132.021129 132.021129 0 H(4)C(8)O(2)' mod_dict['Heme[C]'] = 'C NORMAL 616.177295 616.177295 0 H(32)C(34)N(4)O(4)Fe(1)' mod_dict['Heme[H]'] = 'H NORMAL 616.177295 616.177295 0 H(32)C(34)N(4)O(4)Fe(1)' mod_dict['Hep[K]'] = 'K NORMAL 192.063388 192.063388 0 Hep(1)' mod_dict['Hep[N]'] = 'N NORMAL 192.063388 192.063388 0 Hep(1)' mod_dict['Hep[Q]'] = 'Q NORMAL 192.063388 192.063388 0 Hep(1)' mod_dict['Hep[R]'] = 'R NORMAL 192.063388 192.063388 0 Hep(1)' mod_dict['Hep[S]'] = 'S NORMAL 192.063388 192.063388 0 Hep(1)' mod_dict['Hep[T]'] = 'T NORMAL 192.063388 192.063388 0 Hep(1)' mod_dict['Hex(1)HexNAc(1)NeuAc(1)[N]'] = 'N NORMAL 656.227613 656.227613 0 Hex(1)HexNAc(1)NeuAc(1)' mod_dict['Hex(1)HexNAc(1)NeuAc(1)[S]'] = 'S NORMAL 656.227613 656.227613 0 Hex(1)HexNAc(1)NeuAc(1)' mod_dict['Hex(1)HexNAc(1)NeuAc(1)[T]'] = 'T NORMAL 656.227613 656.227613 0 Hex(1)HexNAc(1)NeuAc(1)' mod_dict['Hex(1)HexNAc(1)NeuAc(2)[N]'] = 'N NORMAL 947.323029 947.323029 0 Hex(1)HexNAc(1)NeuAc(2)' mod_dict['Hex(1)HexNAc(1)NeuAc(2)[S]'] = 'S NORMAL 947.323029 947.323029 0 Hex(1)HexNAc(1)NeuAc(2)' mod_dict['Hex(1)HexNAc(1)NeuAc(2)[T]'] = 'T NORMAL 947.323029 947.323029 0 Hex(1)HexNAc(1)NeuAc(2)' mod_dict['Hex(1)HexNAc(1)dHex(1)[N]'] = 'N NORMAL 511.190105 511.190105 0 dHex(1)Hex(1)HexNAc(1)' mod_dict['Hex(1)HexNAc(2)[N]'] = 'N NORMAL 568.211569 568.211569 0 Hex(1)HexNAc(2)' mod_dict['Hex(1)HexNAc(2)Pent(1)[N]'] = 'N NORMAL 700.253828 700.253828 0 Pent(1)Hex(1)HexNAc(2)' mod_dict['Hex(1)HexNAc(2)dHex(1)[N]'] = 'N NORMAL 714.269478 714.269478 0 dHex(1)Hex(1)HexNAc(2)' mod_dict['Hex(1)HexNAc(2)dHex(1)Pent(1)[N]'] = 'N NORMAL 846.311736 846.311736 0 Pent(1)dHex(1)Hex(1)HexNAc(2)' mod_dict['Hex(1)HexNAc(2)dHex(2)[N]'] = 'N NORMAL 860.327386 860.327386 0 dHex(2)Hex(1)HexNAc(2)' mod_dict['Hex(2)[K]'] = 'K NORMAL 324.105647 324.105647 0 Hex(2)' mod_dict['Hex(2)[R]'] = 'R NORMAL 324.105647 324.105647 0 Hex(2)' mod_dict['Hex(2)HexNAc(2)[N]'] = 'N NORMAL 730.264392 730.264392 0 Hex(2)HexNAc(2)' mod_dict['Hex(2)HexNAc(2)Pent(1)[N]'] = 'N NORMAL 862.306651 862.306651 0 Pent(1)Hex(2)HexNAc(2)' mod_dict['Hex(2)HexNAc(2)dHex(1)[N]'] = 'N NORMAL 876.322301 876.322301 0 dHex(1)Hex(2)HexNAc(2)' mod_dict['Hex(3)[N]'] = 'N NORMAL 486.158471 486.158471 0 Hex(3)' mod_dict['Hex(3)HexNAc(1)Pent(1)[N]'] = 'N NORMAL 821.280102 821.280102 0 Pent(1)Hex(3)HexNAc(1)' mod_dict['Hex(3)HexNAc(2)[N]'] = 'N NORMAL 892.317216 892.317216 0 Hex(3)HexNAc(2)' mod_dict['Hex(3)HexNAc(2)P(1)[N]'] = 'N NORMAL 923.290978 923.290978 0 P(1)Hex(3)HexNAc(2)' mod_dict['Hex(3)HexNAc(4)[N]'] = 'N NORMAL 1298.475961 1298.475961 0 Hex(3)HexNAc(4)' mod_dict['Hex(4)HexNAc(4)[N]'] = 'N NORMAL 1460.528784 1460.528784 0 Hex(4)HexNAc(4)' mod_dict['Hex(5)HexNAc(2)[N]'] = 'N NORMAL 1216.422863 1216.422863 0 Hex(5)HexNAc(2)' mod_dict['Hex(5)HexNAc(4)[N]'] = 'N NORMAL 1622.581608 1622.581608 0 Hex(5)HexNAc(4)' mod_dict['Hex[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 162.052824 162.052824 0 Hex(1)' mod_dict['Hex[C]'] = 'C NORMAL 162.052824 162.052824 0 Hex(1)' mod_dict['Hex[K]'] = 'K NORMAL 162.052824 162.052824 0 Hex(1)' mod_dict['Hex[N]'] = 'N NORMAL 162.052824 162.052824 0 Hex(1)' mod_dict['Hex[R]'] = 'R NORMAL 162.052824 162.052824 0 Hex(1)' mod_dict['Hex[S]'] = 'S NORMAL 162.052824 162.052824 0 Hex(1)' mod_dict['Hex[T]'] = 'T NORMAL 162.052824 162.052824 0 Hex(1)' mod_dict['Hex[W]'] = 'W NORMAL 162.052824 162.052824 0 Hex(1)' mod_dict['Hex[Y]'] = 'Y NORMAL 162.052824 162.052824 0 Hex(1)' mod_dict['Hex1HexNAc1[N]'] = 'N NORMAL 365.132196 365.132196 0 Hex(1)HexNAc(1)' mod_dict['Hex1HexNAc1[S]'] = 'S NORMAL 365.132196 365.132196 0 Hex(1)HexNAc(1)' mod_dict['Hex1HexNAc1[T]'] = 'T NORMAL 365.132196 365.132196 0 Hex(1)HexNAc(1)' mod_dict['HexN[K]'] = 'K NORMAL 161.068808 161.068808 0 H(11)C(6)N(1)O(4)' mod_dict['HexN[N]'] = 'N NORMAL 161.068808 161.068808 0 H(11)C(6)N(1)O(4)' mod_dict['HexN[T]'] = 'T NORMAL 161.068808 161.068808 0 H(11)C(6)N(1)O(4)' mod_dict['HexN[W]'] = 'W NORMAL 161.068808 161.068808 0 H(11)C(6)N(1)O(4)' mod_dict['HexNAc(1)dHex(1)[N]'] = 'N NORMAL 349.137281 349.137281 0 dHex(1)HexNAc(1)' mod_dict['HexNAc(1)dHex(2)[N]'] = 'N NORMAL 495.195190 495.195190 0 dHex(2)HexNAc(1)' mod_dict['HexNAc(2)[N]'] = 'N NORMAL 406.158745 406.158745 0 HexNAc(2)' mod_dict['HexNAc(2)dHex(1)[N]'] = 'N NORMAL 552.216654 552.216654 0 dHex(1)HexNAc(2)' mod_dict['HexNAc(2)dHex(2)[N]'] = 'N NORMAL 698.274563 698.274563 0 dHex(2)HexNAc(2)' mod_dict['HexNAc[N]'] = 'N NORMAL 203.079373 203.079373 0 HexNAc(1)' mod_dict['HexNAc[S]'] = 'S NORMAL 203.079373 203.079373 0 HexNAc(1)' mod_dict['HexNAc[T]'] = 'T NORMAL 203.079373 203.079373 0 HexNAc(1)' mod_dict['His->Ala[H]'] = 'H NORMAL -66.021798 -66.021798 0 H(-2)C(-3)N(-2)' mod_dict['His->Arg[H]'] = 'H NORMAL 19.042199 19.042199 0 H(5)N(1)' mod_dict['His->Asn[H]'] = 'H NORMAL -23.015984 -23.015984 0 H(-1)C(-2)N(-1)O(1)' mod_dict['His->Asp[H]'] = 'H NORMAL -22.031969 -22.031969 0 H(-2)C(-2)N(-2)O(2)' mod_dict['His->Cys[H]'] = 'H NORMAL -34.049727 -34.049727 0 H(-2)C(-3)N(-2)S(1)' mod_dict['His->Gln[H]'] = 'H NORMAL -9.000334 -9.000334 0 H(1)C(-1)N(-1)O(1)' mod_dict['His->Glu[H]'] = 'H NORMAL -8.016319 -8.016319 0 C(-1)N(-2)O(2)' mod_dict['His->Gly[H]'] = 'H NORMAL -80.037448 -80.037448 0 H(-4)C(-4)N(-2)' mod_dict['His->Lys[H]'] = 'H NORMAL -8.963949 -8.963949 0 H(5)N(-1)' mod_dict['His->Met[H]'] = 'H NORMAL -6.018427 -6.018427 0 H(2)C(-1)N(-2)S(1)' mod_dict['His->Phe[H]'] = 'H NORMAL 10.009502 10.009502 0 H(2)C(3)N(-2)' mod_dict['His->Pro[H]'] = 'H NORMAL -40.006148 -40.006148 0 C(-1)N(-2)' mod_dict['His->Ser[H]'] = 'H NORMAL -50.026883 -50.026883 0 H(-2)C(-3)N(-2)O(1)' mod_dict['His->Thr[H]'] = 'H NORMAL -36.011233 -36.011233 0 C(-2)N(-2)O(1)' mod_dict['His->Trp[H]'] = 'H NORMAL 49.020401 49.020401 0 H(3)C(5)N(-1)' mod_dict['His->Tyr[H]'] = 'H NORMAL 26.004417 26.004417 0 H(2)C(3)N(-2)O(1)' mod_dict['His->Val[H]'] = 'H NORMAL -37.990498 -37.990498 0 H(2)C(-1)N(-2)' mod_dict['His->Xle[H]'] = 'H NORMAL -23.974848 -23.974848 0 H(4)N(-2)' mod_dict['Homocysteic_acid[M]'] = 'M NORMAL 33.969094 33.969094 0 H(-2)C(-1)O(3)' mod_dict['Hydroxamic_acid[D]'] = 'D NORMAL 15.010899 15.010899 0 H(1)N(1)' mod_dict['Hydroxamic_acid[E]'] = 'E NORMAL 15.010899 15.010899 0 H(1)N(1)' mod_dict['Hydroxycinnamyl[C]'] = 'C NORMAL 146.036779 146.036779 0 H(6)C(9)O(2)' mod_dict['Hydroxyfarnesyl[C]'] = 'C NORMAL 220.182715 220.182715 0 H(24)C(15)O(1)' mod_dict['Hydroxyheme[E]'] = 'E NORMAL 614.161645 614.161645 0 H(30)C(34)N(4)O(4)Fe(1)' mod_dict['Hydroxymethyl[N]'] = 'N NORMAL 30.010565 30.010565 0 H(2)C(1)O(1)' mod_dict['HydroxymethylOP[K]'] = 'K NORMAL 108.021129 108.021129 0 H(4)C(6)O(2)' mod_dict['Hydroxytrimethyl[K]'] = 'K NORMAL 59.049690 59.049690 0 H(7)C(3)O(1)' mod_dict['Hypusine[K]'] = 'K NORMAL 87.068414 87.068414 0 H(9)C(4)N(1)O(1)' mod_dict['IBTP[C]'] = 'C NORMAL 316.138088 316.138088 0 H(21)C(22)P(1)' mod_dict['ICAT-C[C]'] = 'C NORMAL 227.126991 227.126991 0 H(17)C(10)N(3)O(3)' mod_dict['ICAT-C_13C(9)[C]'] = 'C NORMAL 236.157185 236.157185 0 H(17)C(1)13C(9)N(3)O(3)' mod_dict['ICAT-D[C]'] = 'C NORMAL 442.224991 442.224991 0 H(34)C(20)N(4)O(5)S(1)' mod_dict['ICAT-D_2H(8)[C]'] = 'C NORMAL 450.275205 450.275205 0 H(26)2H(8)C(20)N(4)O(5)S(1)' mod_dict['ICAT-G[C]'] = 'C NORMAL 486.251206 486.251206 0 H(38)C(22)N(4)O(6)S(1)' mod_dict['ICAT-G_2H(8)[C]'] = 'C NORMAL 494.301420 494.301420 0 H(30)2H(8)C(22)N(4)O(6)S(1)' mod_dict['ICAT-H[C]'] = 'C NORMAL 345.097915 345.097915 0 H(20)C(15)N(1)O(6)Cl(1)' mod_dict['ICAT-H_13C(6)[C]'] = 'C NORMAL 351.118044 351.118044 0 H(20)C(9)13C(6)N(1)O(6)Cl(1)' mod_dict['ICDID[C]'] = 'C NORMAL 138.068080 138.068080 0 H(10)C(8)O(2)' mod_dict['ICDID_2H(6)[C]'] = 'C NORMAL 144.105740 144.105740 0 H(4)2H(6)C(8)O(2)' mod_dict['ICPL[K]'] = 'K NORMAL 105.021464 105.021464 0 H(3)C(6)N(1)O(1)' mod_dict['ICPL[ProteinN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PRO_N 105.021464 105.021464 0 H(3)C(6)N(1)O(1)' mod_dict['ICPL_13C(6)[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 111.041593 111.041593 0 H(3)13C(6)N(1)O(1)' mod_dict['ICPL_13C(6)[K]'] = 'K NORMAL 111.041593 111.041593 0 H(3)13C(6)N(1)O(1)' mod_dict['ICPL_13C(6)[ProteinN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PRO_N 111.041593 111.041593 0 H(3)13C(6)N(1)O(1)' mod_dict['ICPL_13C(6)2H(4)[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 115.066700 115.066700 0 H(-1)2H(4)13C(6)N(1)O(1)' mod_dict['ICPL_13C(6)2H(4)[K]'] = 'K NORMAL 115.066700 115.066700 0 H(-1)2H(4)13C(6)N(1)O(1)' mod_dict['ICPL_13C(6)2H(4)[ProteinN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PRO_N 115.066700 115.066700 0 H(-1)2H(4)13C(6)N(1)O(1)' mod_dict['ICPL_2H(4)[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 109.046571 109.046571 0 H(-1)2H(4)C(6)N(1)O(1)' mod_dict['ICPL_2H(4)[K]'] = 'K NORMAL 109.046571 109.046571 0 H(-1)2H(4)C(6)N(1)O(1)' mod_dict['ICPL_2H(4)[ProteinN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PRO_N 109.046571 109.046571 0 H(-1)2H(4)C(6)N(1)O(1)' mod_dict['IDEnT[C]'] = 'C NORMAL 214.990469 214.990469 0 H(7)C(9)N(1)O(1)Cl(2)' mod_dict['IED-Biotin[C]'] = 'C NORMAL 326.141261 326.141261 0 H(22)C(14)N(4)O(3)S(1)' mod_dict['IGBP[C]'] = 'C NORMAL 296.016039 296.016039 0 H(13)C(12)N(2)O(2)Br(1)' mod_dict['IGBP_13C(2)[C]'] = 'C NORMAL 298.022748 298.022748 0 H(13)C(10)13C(2)N(2)O(2)Br(1)' mod_dict['IMEHex(2)NeuAc[K]'] = 'K NORMAL 688.199683 688.199683 0 H(3)C(2)N(1)S(1)Hex(2)NeuAc(1)' mod_dict['IMID[K]'] = 'K NORMAL 68.037448 68.037448 0 H(4)C(3)N(2)' mod_dict['IMID_2H(4)[K]'] = 'K NORMAL 72.062555 72.062555 0 2H(4)C(3)N(2)' mod_dict['ISD_z+2_ion[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N -15.010899 -15.010899 0 H(-1)N(-1)' mod_dict['Iminobiotin[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 225.093583 225.093583 0 H(15)C(10)N(3)O(1)S(1)' mod_dict['Iminobiotin[K]'] = 'K NORMAL 225.093583 225.093583 0 H(15)C(10)N(3)O(1)S(1)' mod_dict['Iodo[H]'] = 'H NORMAL 125.896648 125.896648 0 H(-1)I(1)' mod_dict['Iodo[Y]'] = 'Y NORMAL 125.896648 125.896648 0 H(-1)I(1)' mod_dict['IodoU-AMP[F]'] = 'F NORMAL 322.020217 322.020217 0 H(11)C(9)N(2)O(9)P(1)' mod_dict['IodoU-AMP[W]'] = 'W NORMAL 322.020217 322.020217 0 H(11)C(9)N(2)O(9)P(1)' mod_dict['IodoU-AMP[Y]'] = 'Y NORMAL 322.020217 322.020217 0 H(11)C(9)N(2)O(9)P(1)' mod_dict['Iodoacetanilide[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 133.052764 133.052764 0 H(7)C(8)N(1)O(1)' mod_dict['Iodoacetanilide[C]'] = 'C NORMAL 133.052764 133.052764 0 H(7)C(8)N(1)O(1)' mod_dict['Iodoacetanilide[K]'] = 'K NORMAL 133.052764 133.052764 0 H(7)C(8)N(1)O(1)' mod_dict['Iodoacetanilide_13C(6)[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 139.072893 139.072893 0 H(7)C(2)13C(6)N(1)O(1)' mod_dict['Iodoacetanilide_13C(6)[C]'] = 'C NORMAL 139.072893 139.072893 0 H(7)C(2)13C(6)N(1)O(1)' mod_dict['Iodoacetanilide_13C(6)[K]'] = 'K NORMAL 139.072893 139.072893 0 H(7)C(2)13C(6)N(1)O(1)' mod_dict['Isopropylphospho[S]'] = 'S NORMAL 122.013281 122.013281 0 H(7)C(3)O(3)P(1)' mod_dict['Isopropylphospho[T]'] = 'T NORMAL 122.013281 122.013281 0 H(7)C(3)O(3)P(1)' mod_dict['Isopropylphospho[Y]'] = 'Y NORMAL 122.013281 122.013281 0 H(7)C(3)O(3)P(1)' mod_dict['LG-Hlactam-K[K]'] = 'K NORMAL 348.193674 348.193674 0 H(28)C(20)O(5)' mod_dict['LG-Hlactam-K[ProteinN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PRO_N 348.193674 348.193674 0 H(28)C(20)O(5)' mod_dict['LG-Hlactam-R[R]'] = 'R NORMAL 306.171876 306.171876 0 H(26)C(19)N(-2)O(5)' mod_dict['LG-anhydrolactam[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 314.188195 314.188195 0 H(26)C(20)O(3)' mod_dict['LG-anhydrolactam[K]'] = 'K NORMAL 314.188195 314.188195 0 H(26)C(20)O(3)' mod_dict['LG-anhyropyrrole[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 298.193280 298.193280 0 H(26)C(20)O(2)' mod_dict['LG-anhyropyrrole[K]'] = 'K NORMAL 298.193280 298.193280 0 H(26)C(20)O(2)' mod_dict['LG-lactam-K[K]'] = 'K NORMAL 332.198760 332.198760 0 H(28)C(20)O(4)' mod_dict['LG-lactam-K[ProteinN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PRO_N 332.198760 332.198760 0 H(28)C(20)O(4)' mod_dict['LG-lactam-R[R]'] = 'R NORMAL 290.176961 290.176961 0 H(26)C(19)N(-2)O(4)' mod_dict['LG-pyrrole[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 316.203845 316.203845 0 H(28)C(20)O(3)' mod_dict['LG-pyrrole[K]'] = 'K NORMAL 316.203845 316.203845 0 H(28)C(20)O(3)' mod_dict['Label_13C(1)2H(3)+Oxidation[M]'] = 'M NORMAL 20.017100 20.017100 0 H(-3)2H(3)C(-1)13C(1)O(1)' mod_dict['Label_13C(1)2H(3)[M]'] = 'M NORMAL 4.022185 4.022185 0 H(-3)2H(3)C(-1)13C(1)' mod_dict['Label_13C(3)[A]'] = 'A NORMAL 3.010064 3.010064 0 C(-3)13C(3)' mod_dict['Label_13C(3)15N(1)[A]'] = 'A NORMAL 4.007099 4.007099 0 C(-3)13C(3)N(-1)15N(1)' mod_dict['Label_13C(4)+Oxidation[M]'] = 'M NORMAL 20.008334 20.008334 0 C(-4)13C(4)O(1)' mod_dict['Label_13C(4)[M]'] = 'M NORMAL 4.013419 4.013419 0 C(-4)13C(4)' mod_dict['Label_13C(4)15N(1)[D]'] = 'D NORMAL 5.010454 5.010454 0 C(-4)13C(4)N(-1)15N(1)' mod_dict['Label_13C(4)15N(2)+GlyGly[K]'] = 'K NORMAL 120.050417 120.050417 0 H(6)13C(4)15N(2)O(2)' mod_dict['Label_13C(5)[P]'] = 'P NORMAL 5.016774 5.016774 0 C(-5)13C(5)' mod_dict['Label_13C(5)15N(1)[E]'] = 'E NORMAL 6.013809 6.013809 0 C(-5)13C(5)N(-1)15N(1)' mod_dict['Label_13C(5)15N(1)[M]'] = 'M NORMAL 6.013809 6.013809 0 C(-5)13C(5)N(-1)15N(1)' mod_dict['Label_13C(5)15N(1)[P]'] = 'P NORMAL 6.013809 6.013809 0 C(-5)13C(5)N(-1)15N(1)' mod_dict['Label_13C(5)15N(1)[V]'] = 'V NORMAL 6.013809 6.013809 0 C(-5)13C(5)N(-1)15N(1)' mod_dict['Label_13C(6)+Acetyl[K]'] = 'K NORMAL 48.030694 48.030694 0 H(2)C(-4)13C(6)O(1)' mod_dict['Label_13C(6)+Dimethyl[K]'] = 'K NORMAL 34.051429 34.051429 0 H(4)C(-4)13C(6)' mod_dict['Label_13C(6)+GlyGly[K]'] = 'K NORMAL 120.063056 120.063056 0 H(6)C(-2)13C(6)N(2)O(2)' mod_dict['Label_13C(6)[I]'] = 'I NORMAL 6.020129 6.020129 0 C(-6)13C(6)' mod_dict['Label_13C(6)[K]'] = 'K NORMAL 6.020129 6.020129 0 C(-6)13C(6)' mod_dict['Label_13C(6)[L]'] = 'L NORMAL 6.020129 6.020129 0 C(-6)13C(6)' mod_dict['Label_13C(6)[R]'] = 'R NORMAL 6.020129 6.020129 0 C(-6)13C(6)' mod_dict['Label_13C(6)15N(1)[I]'] = 'I NORMAL 7.017164 7.017164 0 C(-6)13C(6)N(-1)15N(1)' mod_dict['Label_13C(6)15N(1)[L]'] = 'L NORMAL 7.017164 7.017164 0 C(-6)13C(6)N(-1)15N(1)' mod_dict['Label_13C(6)15N(2)+Acetyl[K]'] = 'K NORMAL 50.024764 50.024764 0 H(2)C(-4)13C(6)N(-2)15N(2)O(1)' mod_dict['Label_13C(6)15N(2)+Dimethyl[K]'] = 'K NORMAL 36.045499 36.045499 0 H(4)C(-4)13C(6)N(-2)15N(2)' mod_dict['Label_13C(6)15N(2)+GlyGly[K]'] = 'K NORMAL 122.057126 122.057126 0 H(6)C(-2)13C(6)15N(2)O(2)' mod_dict['Label_13C(6)15N(2)[K]'] = 'K NORMAL 8.014199 8.014199 0 C(-6)13C(6)N(-2)15N(2)' mod_dict['Label_13C(6)15N(2)[L]'] = 'L NORMAL 8.014199 8.014199 0 C(-6)13C(6)N(-2)15N(2)' mod_dict['Label_13C(6)15N(4)+Dimethyl[R]'] = 'R NORMAL 38.039569 38.039569 0 H(4)C(-4)13C(6)N(-4)15N(4)' mod_dict['Label_13C(6)15N(4)+Dimethyl_2H(6)13C(2)[R]'] = 'R NORMAL 46.083939 46.083939 0 H(-2)2H(6)C(-6)13C(8)N(-4)15N(4)' mod_dict['Label_13C(6)15N(4)+Methyl[R]'] = 'R NORMAL 24.023919 24.023919 0 H(2)C(-5)13C(6)N(-4)15N(4)' mod_dict['Label_13C(6)15N(4)+Methyl_2H(3)13C(1)[R]'] = 'R NORMAL 28.046104 28.046104 0 H(-1)2H(3)C(-6)13C(7)N(-4)15N(4)' mod_dict['Label_13C(6)15N(4)[R]'] = 'R NORMAL 10.008269 10.008269 0 C(-6)13C(6)N(-4)15N(4)' mod_dict['Label_13C(8)15N(2)[R]'] = 'R NORMAL 10.020909 10.020909 0 C(-8)13C(8)N(-2)15N(2)' mod_dict['Label_13C(9)+Phospho[Y]'] = 'Y NORMAL 88.996524 88.996524 0 H(1)C(-9)13C(9)O(3)P(1)' mod_dict['Label_13C(9)[F]'] = 'F NORMAL 9.030193 9.030193 0 C(-9)13C(9)' mod_dict['Label_13C(9)[Y]'] = 'Y NORMAL 9.030193 9.030193 0 C(-9)13C(9)' mod_dict['Label_13C(9)15N(1)[F]'] = 'F NORMAL 10.027228 10.027228 0 C(-9)13C(9)N(-1)15N(1)' mod_dict['Label_15N(1)[A]'] = 'A NORMAL 0.997035 0.997035 0 N(-1)15N(1)' mod_dict['Label_15N(1)[C]'] = 'C NORMAL 0.997035 0.997035 0 N(-1)15N(1)' mod_dict['Label_15N(1)[D]'] = 'D NORMAL 0.997035 0.997035 0 N(-1)15N(1)' mod_dict['Label_15N(1)[E]'] = 'E NORMAL 0.997035 0.997035 0 N(-1)15N(1)' mod_dict['Label_15N(1)[F]'] = 'F NORMAL 0.997035 0.997035 0 N(-1)15N(1)' mod_dict['Label_15N(1)[G]'] = 'G NORMAL 0.997035 0.997035 0 N(-1)15N(1)' mod_dict['Label_15N(1)[I]'] = 'I NORMAL 0.997035 0.997035 0 N(-1)15N(1)' mod_dict['Label_15N(1)[L]'] = 'L NORMAL 0.997035 0.997035 0 N(-1)15N(1)' mod_dict['Label_15N(1)[M]'] = 'M NORMAL 0.997035 0.997035 0 N(-1)15N(1)' mod_dict['Label_15N(1)[P]'] = 'P NORMAL 0.997035 0.997035 0 N(-1)15N(1)' mod_dict['Label_15N(1)[S]'] = 'S NORMAL 0.997035 0.997035 0 N(-1)15N(1)' mod_dict['Label_15N(1)[T]'] = 'T NORMAL 0.997035 0.997035 0 N(-1)15N(1)' mod_dict['Label_15N(1)[V]'] = 'V NORMAL 0.997035 0.997035 0 N(-1)15N(1)' mod_dict['Label_15N(1)[Y]'] = 'Y NORMAL 0.997035 0.997035 0 N(-1)15N(1)' mod_dict['Label_15N(2)[K]'] = 'K NORMAL 1.994070 1.994070 0 N(-2)15N(2)' mod_dict['Label_15N(2)[N]'] = 'N NORMAL 1.994070 1.994070 0 N(-2)15N(2)' mod_dict['Label_15N(2)[Q]'] = 'Q NORMAL 1.994070 1.994070 0 N(-2)15N(2)' mod_dict['Label_15N(2)[W]'] = 'W NORMAL 1.994070 1.994070 0 N(-2)15N(2)' mod_dict['Label_15N(2)2H(9)[K]'] = 'K NORMAL 11.050561 11.050561 0 H(-9)2H(9)N(-2)15N(2)' mod_dict['Label_15N(3)[H]'] = 'H NORMAL 2.991105 2.991105 0 N(-3)15N(3)' mod_dict['Label_15N(4)[R]'] = 'R NORMAL 3.988140 3.988140 0 N(-4)15N(4)' mod_dict['Label_18O(1)[AnyC-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_C 2.004246 2.004246 0 O(-1)18O(1)' mod_dict['Label_18O(1)[S]'] = 'S NORMAL 2.004246 2.004246 0 O(-1)18O(1)' mod_dict['Label_18O(1)[T]'] = 'T NORMAL 2.004246 2.004246 0 O(-1)18O(1)' mod_dict['Label_18O(1)[Y]'] = 'Y NORMAL 2.004246 2.004246 0 O(-1)18O(1)' mod_dict['Label_18O(2)[AnyC-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_C 4.008491 4.008491 0 O(-2)18O(2)' mod_dict['Label_2H(10)[L]'] = 'L NORMAL 10.062767 10.062767 0 H(-10)2H(10)' mod_dict['Label_2H(3)+Oxidation[M]'] = 'M NORMAL 19.013745 19.013745 0 H(-3)2H(3)O(1)' mod_dict['Label_2H(3)[L]'] = 'L NORMAL 3.018830 3.018830 0 H(-3)2H(3)' mod_dict['Label_2H(3)[M]'] = 'M NORMAL 3.018830 3.018830 0 H(-3)2H(3)' mod_dict['Label_2H(4)+Acetyl[K]'] = 'K NORMAL 46.035672 46.035672 0 H(-2)2H(4)C(2)O(1)' mod_dict['Label_2H(4)+GlyGly[K]'] = 'K NORMAL 118.068034 118.068034 0 H(2)2H(4)C(4)N(2)O(2)' mod_dict['Label_2H(4)[F]'] = 'F NORMAL 4.025107 4.025107 0 H(-4)2H(4)' mod_dict['Label_2H(4)[K]'] = 'K NORMAL 4.025107 4.025107 0 H(-4)2H(4)' mod_dict['Label_2H(4)[Y]'] = 'Y NORMAL 4.025107 4.025107 0 H(-4)2H(4)' mod_dict['Label_2H(4)13C(1)[R]'] = 'R NORMAL 5.028462 5.028462 0 H(-4)2H(4)C(-1)13C(1)' mod_dict['Label_2H(9)13C(6)15N(2)[K]'] = 'K NORMAL 17.070690 17.070690 0 H(-9)2H(9)C(-6)13C(6)N(-2)15N(2)' mod_dict['Leu->MetOx[L]'] = 'L NORMAL 33.951335 33.951335 0 H(-2)C(-1)O(1)S(1)' mod_dict['LeuArgGlyGly[K]'] = 'K NORMAL 383.228103 383.228103 0 H(29)C(16)N(7)O(4)' mod_dict['Lipoyl[K]'] = 'K NORMAL 188.032956 188.032956 0 H(12)C(8)O(1)S(2)' mod_dict['Lys->Ala[K]'] = 'K NORMAL -57.057849 -57.057849 0 H(-7)C(-3)N(-1)' mod_dict['Lys->Allysine[K]'] = 'K NORMAL -1.031634 -1.031634 0 H(-3)N(-1)O(1)' mod_dict['Lys->AminoadipicAcid[K]'] = 'K NORMAL 14.963280 14.963280 0 H(-3)N(-1)O(2)' mod_dict['Lys->Arg[K]'] = 'K NORMAL 28.006148 28.006148 0 N(2)' mod_dict['Lys->Asn[K]'] = 'K NORMAL -14.052036 -14.052036 0 H(-6)C(-2)O(1)' mod_dict['Lys->Asp[K]'] = 'K NORMAL -13.068020 -13.068020 0 H(-7)C(-2)N(-1)O(2)' mod_dict['Lys->CamCys[K]'] = 'K NORMAL 31.935685 31.935685 0 H(-4)C(-1)O(1)S(1)' mod_dict['Lys->Cys[K]'] = 'K NORMAL -25.085779 -25.085779 0 H(-7)C(-3)N(-1)S(1)' mod_dict['Lys->Gln[K]'] = 'K NORMAL -0.036386 -0.036386 0 H(-4)C(-1)O(1)' mod_dict['Lys->Glu[K]'] = 'K NORMAL 0.947630 0.947630 0 H(-5)C(-1)N(-1)O(2)' mod_dict['Lys->Gly[K]'] = 'K NORMAL -71.073499 -71.073499 0 H(-9)C(-4)N(-1)' mod_dict['Lys->His[K]'] = 'K NORMAL 8.963949 8.963949 0 H(-5)N(1)' mod_dict['Lys->Met[K]'] = 'K NORMAL 2.945522 2.945522 0 H(-3)C(-1)N(-1)S(1)' mod_dict['Lys->MetOx[K]'] = 'K NORMAL 18.940436 18.940436 0 H(-3)C(-1)N(-1)O(1)S(1)' mod_dict['Lys->Phe[K]'] = 'K NORMAL 18.973451 18.973451 0 H(-3)C(3)N(-1)' mod_dict['Lys->Pro[K]'] = 'K NORMAL -31.042199 -31.042199 0 H(-5)C(-1)N(-1)' mod_dict['Lys->Ser[K]'] = 'K NORMAL -41.062935 -41.062935 0 H(-7)C(-3)N(-1)O(1)' mod_dict['Lys->Thr[K]'] = 'K NORMAL -27.047285 -27.047285 0 H(-5)C(-2)N(-1)O(1)' mod_dict['Lys->Trp[K]'] = 'K NORMAL 57.984350 57.984350 0 H(-2)C(5)' mod_dict['Lys->Tyr[K]'] = 'K NORMAL 34.968366 34.968366 0 H(-3)C(3)N(-1)O(1)' mod_dict['Lys->Val[K]'] = 'K NORMAL -29.026549 -29.026549 0 H(-3)C(-1)N(-1)' mod_dict['Lys->Xle[K]'] = 'K NORMAL -15.010899 -15.010899 0 H(-1)N(-1)' mod_dict['Lys-loss[ProteinC-termK]'] = 'K PRO_C -128.094963 -128.094963 0 H(-12)C(-6)N(-2)O(-1)' mod_dict['Lys[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 128.094963 128.094963 0 H(12)C(6)N(2)O(1)' mod_dict['Lysbiotinhydrazide[K]'] = 'K NORMAL 241.088497 241.088497 0 H(15)C(10)N(3)O(2)S(1)' mod_dict['MDCC[C]'] = 'C NORMAL 383.148121 383.148121 0 H(21)C(20)N(3)O(5)' mod_dict['MG-H1[R]'] = 'R NORMAL 54.010565 54.010565 0 H(2)C(3)O(1)' mod_dict['MM-diphenylpentanone[C]'] = 'C NORMAL 265.146664 265.146664 0 H(19)C(18)N(1)O(1)' mod_dict['MTSL[C]'] = 'C NORMAL 184.079610 184.079610 0 H(14)C(9)N(1)O(1)S(1)' mod_dict['Maleimide-PEO2-Biotin[C]'] = 'C NORMAL 525.225719 525.225719 0 H(35)C(23)N(5)O(7)S(1)' mod_dict['Malonyl[C]'] = 'C NORMAL 86.000394 86.000394 0 H(2)C(3)O(3)' mod_dict['Malonyl[S]'] = 'S NORMAL 86.000394 86.000394 0 H(2)C(3)O(3)' mod_dict['Menadione-HQ[C]'] = 'C NORMAL 172.052430 172.052430 0 H(8)C(11)O(2)' mod_dict['Menadione-HQ[K]'] = 'K NORMAL 172.052430 172.052430 0 H(8)C(11)O(2)' mod_dict['Menadione[C]'] = 'C NORMAL 170.036779 170.036779 0 H(6)C(11)O(2)' mod_dict['Menadione[K]'] = 'K NORMAL 170.036779 170.036779 0 H(6)C(11)O(2)' mod_dict['MercaptoEthanol[S]'] = 'S NORMAL 60.003371 60.003371 0 H(4)C(2)S(1)' mod_dict['MercaptoEthanol[T]'] = 'T NORMAL 60.003371 60.003371 0 H(4)C(2)S(1)' mod_dict['Met->Aha[M]'] = 'M NORMAL -4.986324 -4.986324 0 H(-3)C(-1)N(3)S(-1)' mod_dict['Met->Ala[M]'] = 'M NORMAL -60.003371 -60.003371 0 H(-4)C(-2)S(-1)' mod_dict['Met->Arg[M]'] = 'M NORMAL 25.060626 25.060626 0 H(3)C(1)N(3)S(-1)' mod_dict['Met->Asn[M]'] = 'M NORMAL -16.997557 -16.997557 0 H(-3)C(-1)N(1)O(1)S(-1)' mod_dict['Met->Asp[M]'] = 'M NORMAL -16.013542 -16.013542 0 H(-4)C(-1)O(2)S(-1)' mod_dict['Met->Cys[M]'] = 'M NORMAL -28.031300 -28.031300 0 H(-4)C(-2)' mod_dict['Met->Gln[M]'] = 'M NORMAL -2.981907 -2.981907 0 H(-1)N(1)O(1)S(-1)' mod_dict['Met->Glu[M]'] = 'M NORMAL -1.997892 -1.997892 0 H(-2)O(2)S(-1)' mod_dict['Met->Gly[M]'] = 'M NORMAL -74.019021 -74.019021 0 H(-6)C(-3)S(-1)' mod_dict['Met->His[M]'] = 'M NORMAL 6.018427 6.018427 0 H(-2)C(1)N(2)S(-1)' mod_dict['Met->Hpg[M]'] = 'M NORMAL -21.987721 -21.987721 0 H(-2)C(1)S(-1)' mod_dict['Met->Hse[AnyC-termM]'] = 'M PEP_C -29.992806 -29.992806 0 H(-2)C(-1)O(1)S(-1)' mod_dict['Met->Hsl[AnyC-termM]'] = 'M PEP_C -48.003371 -48.003371 0 H(-4)C(-1)S(-1)' mod_dict['Met->Lys[M]'] = 'M NORMAL -2.945522 -2.945522 0 H(3)C(1)N(1)S(-1)' mod_dict['Met->Phe[M]'] = 'M NORMAL 16.027929 16.027929 0 C(4)S(-1)' mod_dict['Met->Pro[M]'] = 'M NORMAL -33.987721 -33.987721 0 H(-2)S(-1)' mod_dict['Met->Ser[M]'] = 'M NORMAL -44.008456 -44.008456 0 H(-4)C(-2)O(1)S(-1)' mod_dict['Met->Thr[M]'] = 'M NORMAL -29.992806 -29.992806 0 H(-2)C(-1)O(1)S(-1)' mod_dict['Met->Trp[M]'] = 'M NORMAL 55.038828 55.038828 0 H(1)C(6)N(1)S(-1)' mod_dict['Met->Tyr[M]'] = 'M NORMAL 32.022844 32.022844 0 C(4)O(1)S(-1)' mod_dict['Met->Val[M]'] = 'M NORMAL -31.972071 -31.972071 0 S(-1)' mod_dict['Met->Xle[M]'] = 'M NORMAL -17.956421 -17.956421 0 H(2)C(1)S(-1)' mod_dict['Met-loss+Acetyl[ProteinN-termM]'] = 'M PRO_N -89.029920 -89.029920 0 H(-7)C(-3)N(-1)S(-1)' mod_dict['Met-loss[ProteinN-termM]'] = 'M PRO_N -131.040485 -131.040485 0 H(-9)C(-5)N(-1)O(-1)S(-1)' mod_dict['Methyl+Acetyl_2H(3)[K]'] = 'K NORMAL 59.045045 59.045045 0 H(1)2H(3)C(3)O(1)' mod_dict['Methyl+Deamidated[N]'] = 'N NORMAL 14.999666 14.999666 0 H(1)C(1)N(-1)O(1)' mod_dict['Methyl+Deamidated[Q]'] = 'Q NORMAL 14.999666 14.999666 0 H(1)C(1)N(-1)O(1)' mod_dict['Methyl-PEO12-Maleimide[C]'] = 'C NORMAL 710.383719 710.383719 0 H(58)C(32)N(2)O(15)' mod_dict['Methyl[AnyC-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_C 14.015650 14.015650 0 H(2)C(1)' mod_dict['Methyl[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 14.015650 14.015650 0 H(2)C(1)' mod_dict['Methyl[C]'] = 'C NORMAL 14.015650 14.015650 0 H(2)C(1)' mod_dict['Methyl[D]'] = 'D NORMAL 14.015650 14.015650 0 H(2)C(1)' mod_dict['Methyl[E]'] = 'E NORMAL 14.015650 14.015650 0 H(2)C(1)' mod_dict['Methyl[H]'] = 'H NORMAL 14.015650 14.015650 0 H(2)C(1)' mod_dict['Methyl[I]'] = 'I NORMAL 14.015650 14.015650 0 H(2)C(1)' mod_dict['Methyl[K]'] = 'K NORMAL 14.015650 14.015650 0 H(2)C(1)' mod_dict['Methyl[L]'] = 'L NORMAL 14.015650 14.015650 0 H(2)C(1)' mod_dict['Methyl[N]'] = 'N NORMAL 14.015650 14.015650 0 H(2)C(1)' mod_dict['Methyl[Q]'] = 'Q NORMAL 14.015650 14.015650 0 H(2)C(1)' mod_dict['Methyl[R]'] = 'R NORMAL 14.015650 14.015650 0 H(2)C(1)' mod_dict['Methyl[S]'] = 'S NORMAL 14.015650 14.015650 0 H(2)C(1)' mod_dict['Methyl[T]'] = 'T NORMAL 14.015650 14.015650 0 H(2)C(1)' mod_dict['Methyl[ProteinN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PRO_N 14.015650 14.015650 0 H(2)C(1)' mod_dict['Methyl_2H(2)[K]'] = 'K NORMAL 16.028204 16.028204 0 2H(2)C(1)' mod_dict['Methyl_2H(3)+Acetyl_2H(3)[K]'] = 'K NORMAL 62.063875 62.063875 0 H(-2)2H(6)C(3)O(1)' mod_dict['Methyl_2H(3)[AnyC-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_C 17.034480 17.034480 0 H(-1)2H(3)C(1)' mod_dict['Methyl_2H(3)[D]'] = 'D NORMAL 17.034480 17.034480 0 H(-1)2H(3)C(1)' mod_dict['Methyl_2H(3)[E]'] = 'E NORMAL 17.034480 17.034480 0 H(-1)2H(3)C(1)' mod_dict['Methyl_2H(3)[K]'] = 'K NORMAL 17.034480 17.034480 0 H(-1)2H(3)C(1)' mod_dict['Methyl_2H(3)[R]'] = 'R NORMAL 17.034480 17.034480 0 H(-1)2H(3)C(1)' mod_dict['Methyl_2H(3)13C(1)[R]'] = 'R NORMAL 18.037835 18.037835 0 H(-1)2H(3)13C(1)' mod_dict['Methylamine[S]'] = 'S NORMAL 13.031634 13.031634 0 H(3)C(1)N(1)O(-1)' mod_dict['Methylamine[T]'] = 'T NORMAL 13.031634 13.031634 0 H(3)C(1)N(1)O(-1)' mod_dict['Methylmalonylation[S]'] = 'S NORMAL 100.016044 100.016044 0 H(4)C(4)O(3)' mod_dict['Methylphosphonate[S]'] = 'S NORMAL 77.987066 77.987066 0 H(3)C(1)O(2)P(1)' mod_dict['Methylphosphonate[T]'] = 'T NORMAL 77.987066 77.987066 0 H(3)C(1)O(2)P(1)' mod_dict['Methylphosphonate[Y]'] = 'Y NORMAL 77.987066 77.987066 0 H(3)C(1)O(2)P(1)' mod_dict['Methylpyrroline[K]'] = 'K NORMAL 109.052764 109.052764 0 H(7)C(6)N(1)O(1)' mod_dict['Methylthio[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 45.987721 45.987721 0 H(2)C(1)S(1)' mod_dict['Methylthio[C]'] = 'C NORMAL 45.987721 45.987721 0 H(2)C(1)S(1)' mod_dict['Methylthio[D]'] = 'D NORMAL 45.987721 45.987721 0 H(2)C(1)S(1)' mod_dict['Methylthio[K]'] = 'K NORMAL 45.987721 45.987721 0 H(2)C(1)S(1)' mod_dict['Methylthio[N]'] = 'N NORMAL 45.987721 45.987721 0 H(2)C(1)S(1)' mod_dict['Microcin[ProteinC-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PRO_C 831.197041 831.197041 0 H(37)C(36)N(3)O(20)' mod_dict['MicrocinC7[ProteinC-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PRO_C 386.110369 386.110369 0 H(19)C(13)N(6)O(6)P(1)' mod_dict['Molybdopterin[C]'] = 'C NORMAL 521.884073 521.884073 0 H(11)C(10)N(5)O(8)P(1)S(2)Mo(1)' mod_dict['MolybdopterinGD+Delta_S(-1)Se(1)[C]'] = 'C NORMAL 1620.930224 1620.930224 0 H(47)C(40)N(20)O(26)P(4)S(3)Se(1)Mo(1)' mod_dict['MolybdopterinGD[C]'] = 'C NORMAL 1572.985775 1572.985775 0 H(47)C(40)N(20)O(26)P(4)S(4)Mo(1)' mod_dict['MolybdopterinGD[D]'] = 'D NORMAL 1572.985775 1572.985775 0 H(47)C(40)N(20)O(26)P(4)S(4)Mo(1)' mod_dict['MurNAc[A]'] = 'A NORMAL 275.100502 275.100502 0 H(17)C(11)N(1)O(7)' mod_dict['Myristoleyl[ProteinN-termG]'] = 'G PRO_N 208.182715 208.182715 0 H(24)C(14)O(1)' mod_dict['Myristoyl+Delta_H(-4)[ProteinN-termG]'] = 'G PRO_N 206.167065 206.167065 0 H(22)C(14)O(1)' mod_dict['Myristoyl[AnyN-termG]'] = 'G PEP_N 210.198366 210.198366 0 H(26)C(14)O(1)' mod_dict['Myristoyl[C]'] = 'C NORMAL 210.198366 210.198366 0 H(26)C(14)O(1)' mod_dict['Myristoyl[K]'] = 'K NORMAL 210.198366 210.198366 0 H(26)C(14)O(1)' mod_dict['N-dimethylphosphate[S]'] = 'S NORMAL 107.013615 107.013615 0 H(6)C(2)N(1)O(2)P(1)' mod_dict['NA-LNO2[C]'] = 'C NORMAL 325.225309 325.225309 0 H(31)C(18)N(1)O(4)' mod_dict['NA-LNO2[H]'] = 'H NORMAL 325.225309 325.225309 0 H(31)C(18)N(1)O(4)' mod_dict['NA-OA-NO2[C]'] = 'C NORMAL 327.240959 327.240959 0 H(33)C(18)N(1)O(4)' mod_dict['NA-OA-NO2[H]'] = 'H NORMAL 327.240959 327.240959 0 H(33)C(18)N(1)O(4)' mod_dict['NBS[W]'] = 'W NORMAL 152.988449 152.988449 0 H(3)C(6)N(1)O(2)S(1)' mod_dict['NBS_13C(6)[W]'] = 'W NORMAL 159.008578 159.008578 0 H(3)13C(6)N(1)O(2)S(1)' mod_dict['NDA[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 175.042199 175.042199 0 H(5)C(13)N(1)' mod_dict['NDA[K]'] = 'K NORMAL 175.042199 175.042199 0 H(5)C(13)N(1)' mod_dict['NEIAA[C]'] = 'C NORMAL 85.052764 85.052764 0 H(7)C(4)N(1)O(1)' mod_dict['NEIAA[Y]'] = 'Y NORMAL 85.052764 85.052764 0 H(7)C(4)N(1)O(1)' mod_dict['NEIAA_2H(5)[C]'] = 'C NORMAL 90.084148 90.084148 0 H(2)2H(5)C(4)N(1)O(1)' mod_dict['NEIAA_2H(5)[Y]'] = 'Y NORMAL 90.084148 90.084148 0 H(2)2H(5)C(4)N(1)O(1)' mod_dict['NEM_2H(5)+H2O[C]'] = 'C NORMAL 148.089627 148.089627 0 H(4)2H(5)C(6)N(1)O(3)' mod_dict['NEM_2H(5)[C]'] = 'C NORMAL 130.079062 130.079062 0 H(2)2H(5)C(6)N(1)O(2)' mod_dict['NEMsulfur[C]'] = 'C NORMAL 157.019749 157.019749 0 H(7)C(6)N(1)O(2)S(1)' mod_dict['NEMsulfurWater[C]'] = 'C NORMAL 175.030314 175.030314 0 H(9)C(6)N(1)O(3)S(1)' mod_dict['NHS-LC-Biotin[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 339.161662 339.161662 0 H(25)C(16)N(3)O(3)S(1)' mod_dict['NHS-LC-Biotin[K]'] = 'K NORMAL 339.161662 339.161662 0 H(25)C(16)N(3)O(3)S(1)' mod_dict['NHS-fluorescein[K]'] = 'K NORMAL 471.131802 471.131802 0 H(21)C(27)N(1)O(7)' mod_dict['NIC[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 105.021464 105.021464 0 H(3)C(6)N(1)O(1)' mod_dict['NIPCAM[C]'] = 'C NORMAL 99.068414 99.068414 0 H(9)C(5)N(1)O(1)' mod_dict['NO_SMX_SEMD[C]'] = 'C NORMAL 252.044287 252.044287 0 H(10)C(10)N(3)O(3)S(1)' mod_dict['NO_SMX_SIMD[C]'] = 'C NORMAL 267.031377 267.031377 0 H(9)C(10)N(3)O(4)S(1)' mod_dict['NO_SMX_SMCT[C]'] = 'C NORMAL 268.039202 268.039202 0 H(10)C(10)N(3)O(4)S(1)' mod_dict['Nethylmaleimide+water[C]'] = 'C NORMAL 143.058243 143.058243 0 H(9)C(6)N(1)O(3)' mod_dict['Nethylmaleimide+water[K]'] = 'K NORMAL 143.058243 143.058243 0 H(9)C(6)N(1)O(3)' mod_dict['Nethylmaleimide[C]'] = 'C NORMAL 125.047679 125.047679 0 H(7)C(6)N(1)O(2)' mod_dict['NeuAc[N]'] = 'N NORMAL 291.095417 291.095417 0 NeuAc(1)' mod_dict['NeuAc[S]'] = 'S NORMAL 291.095417 291.095417 0 NeuAc(1)' mod_dict['NeuAc[T]'] = 'T NORMAL 291.095417 291.095417 0 NeuAc(1)' mod_dict['NeuGc[N]'] = 'N NORMAL 307.090331 307.090331 0 NeuGc(1)' mod_dict['NeuGc[S]'] = 'S NORMAL 307.090331 307.090331 0 NeuGc(1)' mod_dict['NeuGc[T]'] = 'T NORMAL 307.090331 307.090331 0 NeuGc(1)' mod_dict['Nitro[W]'] = 'W NORMAL 44.985078 44.985078 0 H(-1)N(1)O(2)' mod_dict['Nitro[Y]'] = 'Y NORMAL 44.985078 44.985078 0 H(-1)N(1)O(2)' mod_dict['Nitrosyl[C]'] = 'C NORMAL 28.990164 28.990164 0 H(-1)N(1)O(1)' mod_dict['Nmethylmaleimide+water[C]'] = 'C NORMAL 129.042593 129.042593 0 H(7)C(5)N(1)O(3)' mod_dict['Nmethylmaleimide[C]'] = 'C NORMAL 111.032028 111.032028 0 H(5)C(5)N(1)O(2)' mod_dict['Nmethylmaleimide[K]'] = 'K NORMAL 111.032028 111.032028 0 H(5)C(5)N(1)O(2)' mod_dict['O-Dimethylphosphate[S]'] = 'S NORMAL 107.997631 107.997631 0 H(5)C(2)O(3)P(1)' mod_dict['O-Dimethylphosphate[T]'] = 'T NORMAL 107.997631 107.997631 0 H(5)C(2)O(3)P(1)' mod_dict['O-Dimethylphosphate[Y]'] = 'Y NORMAL 107.997631 107.997631 0 H(5)C(2)O(3)P(1)' mod_dict['O-Et-N-diMePhospho[S]'] = 'S NORMAL 135.044916 135.044916 0 H(10)C(4)N(1)O(2)P(1)' mod_dict['O-Isopropylmethylphosphonate[S]'] = 'S NORMAL 120.034017 120.034017 0 H(9)C(4)O(2)P(1)' mod_dict['O-Isopropylmethylphosphonate[T]'] = 'T NORMAL 120.034017 120.034017 0 H(9)C(4)O(2)P(1)' mod_dict['O-Isopropylmethylphosphonate[Y]'] = 'Y NORMAL 120.034017 120.034017 0 H(9)C(4)O(2)P(1)' mod_dict['O-Methylphosphate[S]'] = 'S NORMAL 93.981981 93.981981 0 H(3)C(1)O(3)P(1)' mod_dict['O-Methylphosphate[T]'] = 'T NORMAL 93.981981 93.981981 0 H(3)C(1)O(3)P(1)' mod_dict['O-Methylphosphate[Y]'] = 'Y NORMAL 93.981981 93.981981 0 H(3)C(1)O(3)P(1)' mod_dict['O-pinacolylmethylphosphonate[H]'] = 'H NORMAL 162.080967 162.080967 0 H(15)C(7)O(2)P(1)' mod_dict['O-pinacolylmethylphosphonate[K]'] = 'K NORMAL 162.080967 162.080967 0 H(15)C(7)O(2)P(1)' mod_dict['O-pinacolylmethylphosphonate[S]'] = 'S NORMAL 162.080967 162.080967 0 H(15)C(7)O(2)P(1)' mod_dict['O-pinacolylmethylphosphonate[T]'] = 'T NORMAL 162.080967 162.080967 0 H(15)C(7)O(2)P(1)' mod_dict['O-pinacolylmethylphosphonate[Y]'] = 'Y NORMAL 162.080967 162.080967 0 H(15)C(7)O(2)P(1)' mod_dict['Octanoyl[C]'] = 'C NORMAL 126.104465 126.104465 0 H(14)C(8)O(1)' mod_dict['Octanoyl[S]'] = 'S NORMAL 126.104465 126.104465 0 H(14)C(8)O(1)' mod_dict['Octanoyl[T]'] = 'T NORMAL 126.104465 126.104465 0 H(14)C(8)O(1)' mod_dict['OxArgBiotin[R]'] = 'R NORMAL 310.135113 310.135113 0 H(22)C(15)N(2)O(3)S(1)' mod_dict['OxArgBiotinRed[R]'] = 'R NORMAL 312.150763 312.150763 0 H(24)C(15)N(2)O(3)S(1)' mod_dict['OxLysBiotin[K]'] = 'K NORMAL 352.156911 352.156911 0 H(24)C(16)N(4)O(3)S(1)' mod_dict['OxLysBiotinRed[K]'] = 'K NORMAL 354.172562 354.172562 0 H(26)C(16)N(4)O(3)S(1)' mod_dict['OxProBiotin[P]'] = 'P NORMAL 369.183461 369.183461 0 H(27)C(16)N(5)O(3)S(1)' mod_dict['OxProBiotinRed[P]'] = 'P NORMAL 371.199111 371.199111 0 H(29)C(16)N(5)O(3)S(1)' mod_dict['Oxidation+NEM[C]'] = 'C NORMAL 141.042593 141.042593 0 H(7)C(6)N(1)O(3)' mod_dict['Oxidation[AnyC-termG]'] = 'G PEP_C 15.994915 15.994915 0 O(1)' mod_dict['Oxidation[C]'] = 'C NORMAL 15.994915 15.994915 0 O(1)' mod_dict['Oxidation[D]'] = 'D NORMAL 15.994915 15.994915 0 O(1)' mod_dict['Oxidation[F]'] = 'F NORMAL 15.994915 15.994915 0 O(1)' mod_dict['Oxidation[H]'] = 'H NORMAL 15.994915 15.994915 0 O(1)' mod_dict['Oxidation[K]'] = 'K NORMAL 15.994915 15.994915 0 O(1)' mod_dict['Oxidation[M]'] = 'M NORMAL 15.994915 15.994915 1 63.998285 63.998285 O(1)' mod_dict['Oxidation[N]'] = 'N NORMAL 15.994915 15.994915 0 O(1)' mod_dict['Oxidation[P]'] = 'P NORMAL 15.994915 15.994915 0 O(1)' mod_dict['Oxidation[R]'] = 'R NORMAL 15.994915 15.994915 0 O(1)' mod_dict['Oxidation[W]'] = 'W NORMAL 15.994915 15.994915 0 O(1)' mod_dict['Oxidation[Y]'] = 'Y NORMAL 15.994915 15.994915 0 O(1)' mod_dict['PEITC[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 163.045570 163.045570 0 H(9)C(9)N(1)S(1)' mod_dict['PEITC[C]'] = 'C NORMAL 163.045570 163.045570 0 H(9)C(9)N(1)S(1)' mod_dict['PEITC[K]'] = 'K NORMAL 163.045570 163.045570 0 H(9)C(9)N(1)S(1)' mod_dict['PEO-Iodoacetyl-LC-Biotin[C]'] = 'C NORMAL 414.193691 414.193691 0 H(30)C(18)N(4)O(5)S(1)' mod_dict['PET[S]'] = 'S NORMAL 121.035005 121.035005 0 H(7)C(7)N(1)O(-1)S(1)' mod_dict['PET[T]'] = 'T NORMAL 121.035005 121.035005 0 H(7)C(7)N(1)O(-1)S(1)' mod_dict['PS_Hapten[C]'] = 'C NORMAL 120.021129 120.021129 0 H(4)C(7)O(2)' mod_dict['PS_Hapten[H]'] = 'H NORMAL 120.021129 120.021129 0 H(4)C(7)O(2)' mod_dict['PS_Hapten[K]'] = 'K NORMAL 120.021129 120.021129 0 H(4)C(7)O(2)' mod_dict['Palmitoleyl[C]'] = 'C NORMAL 236.214016 236.214016 0 H(28)C(16)O(1)' mod_dict['Palmitoleyl[S]'] = 'S NORMAL 236.214016 236.214016 0 H(28)C(16)O(1)' mod_dict['Palmitoleyl[T]'] = 'T NORMAL 236.214016 236.214016 0 H(28)C(16)O(1)' mod_dict['Palmitoyl[C]'] = 'C NORMAL 238.229666 238.229666 0 H(30)C(16)O(1)' mod_dict['Palmitoyl[K]'] = 'K NORMAL 238.229666 238.229666 0 H(30)C(16)O(1)' mod_dict['Palmitoyl[S]'] = 'S NORMAL 238.229666 238.229666 0 H(30)C(16)O(1)' mod_dict['Palmitoyl[T]'] = 'T NORMAL 238.229666 238.229666 0 H(30)C(16)O(1)' mod_dict['Palmitoyl[ProteinN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PRO_N 238.229666 238.229666 0 H(30)C(16)O(1)' mod_dict['Pentylamine[Q]'] = 'Q NORMAL 85.089149 85.089149 0 H(11)C(5)N(1)' mod_dict['Phe->Ala[F]'] = 'F NORMAL -76.031300 -76.031300 0 H(-4)C(-6)' mod_dict['Phe->Arg[F]'] = 'F NORMAL 9.032697 9.032697 0 H(3)C(-3)N(3)' mod_dict['Phe->Asn[F]'] = 'F NORMAL -33.025486 -33.025486 0 H(-3)C(-5)N(1)O(1)' mod_dict['Phe->Asp[F]'] = 'F NORMAL -32.041471 -32.041471 0 H(-4)C(-5)O(2)' mod_dict['Phe->CamCys[F]'] = 'F NORMAL 12.962234 12.962234 0 H(-1)C(-4)N(1)O(1)S(1)' mod_dict['Phe->Cys[F]'] = 'F NORMAL -44.059229 -44.059229 0 H(-4)C(-6)S(1)' mod_dict['Phe->Gln[F]'] = 'F NORMAL -19.009836 -19.009836 0 H(-1)C(-4)N(1)O(1)' mod_dict['Phe->Glu[F]'] = 'F NORMAL -18.025821 -18.025821 0 H(-2)C(-4)O(2)' mod_dict['Phe->Gly[F]'] = 'F NORMAL -90.046950 -90.046950 0 H(-6)C(-7)' mod_dict['Phe->His[F]'] = 'F NORMAL -10.009502 -10.009502 0 H(-2)C(-3)N(2)' mod_dict['Phe->Lys[F]'] = 'F NORMAL -18.973451 -18.973451 0 H(3)C(-3)N(1)' mod_dict['Phe->Met[F]'] = 'F NORMAL -16.027929 -16.027929 0 C(-4)S(1)' mod_dict['Phe->Pro[F]'] = 'F NORMAL -50.015650 -50.015650 0 H(-2)C(-4)' mod_dict['Phe->Ser[F]'] = 'F NORMAL -60.036386 -60.036386 0 H(-4)C(-6)O(1)' mod_dict['Phe->Thr[F]'] = 'F NORMAL -46.020735 -46.020735 0 H(-2)C(-5)O(1)' mod_dict['Phe->Trp[F]'] = 'F NORMAL 39.010899 39.010899 0 H(1)C(2)N(1)' mod_dict['Phe->Val[F]'] = 'F NORMAL -48.000000 -48.000000 0 C(-4)' mod_dict['Phe->Xle[F]'] = 'F NORMAL -33.984350 -33.984350 0 H(2)C(-3)' mod_dict['Phenylisocyanate_2H(5)[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 124.068498 124.068498 0 2H(5)C(7)N(1)O(1)' mod_dict['Phospho[C]'] = 'C NORMAL 79.966331 79.966331 0 H(1)O(3)P(1)' mod_dict['Phospho[D]'] = 'D NORMAL 79.966331 79.966331 0 H(1)O(3)P(1)' mod_dict['Phospho[H]'] = 'H NORMAL 79.966331 79.966331 0 H(1)O(3)P(1)' mod_dict['Phospho[K]'] = 'K NORMAL 79.966331 79.966331 0 H(1)O(3)P(1)' mod_dict['Phospho[R]'] = 'R NORMAL 79.966331 79.966331 0 H(1)O(3)P(1)' mod_dict['Phospho[S]'] = 'S NORMAL 79.966331 79.966331 1 97.976896 97.976896 H(1)O(3)P(1)' mod_dict['Phospho[T]'] = 'T NORMAL 79.966331 79.966331 1 97.976896 97.976896 H(1)O(3)P(1)' mod_dict['Phospho[Y]'] = 'Y NORMAL 79.966331 79.966331 0 H(1)O(3)P(1)' mod_dict['PhosphoHex[S]'] = 'S NORMAL 242.019154 242.019154 0 H(1)O(3)P(1)Hex(1)' mod_dict['PhosphoHexNAc[S]'] = 'S NORMAL 283.045704 283.045704 0 H(1)O(3)P(1)HexNAc(1)' mod_dict['PhosphoHexNAc[T]'] = 'T NORMAL 283.045704 283.045704 0 H(1)O(3)P(1)HexNAc(1)' mod_dict['PhosphoUridine[H]'] = 'H NORMAL 306.025302 306.025302 0 H(11)C(9)N(2)O(8)P(1)' mod_dict['PhosphoUridine[Y]'] = 'Y NORMAL 306.025302 306.025302 0 H(11)C(9)N(2)O(8)P(1)' mod_dict['Phosphoadenosine[H]'] = 'H NORMAL 329.052520 329.052520 0 H(12)C(10)N(5)O(6)P(1)' mod_dict['Phosphoadenosine[K]'] = 'K NORMAL 329.052520 329.052520 0 H(12)C(10)N(5)O(6)P(1)' mod_dict['Phosphoadenosine[T]'] = 'T NORMAL 329.052520 329.052520 0 H(12)C(10)N(5)O(6)P(1)' mod_dict['Phosphoadenosine[Y]'] = 'Y NORMAL 329.052520 329.052520 0 H(12)C(10)N(5)O(6)P(1)' mod_dict['Phosphogluconoylation[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 258.014069 258.014069 0 H(11)C(6)O(9)P(1)' mod_dict['Phosphogluconoylation[K]'] = 'K NORMAL 258.014069 258.014069 0 H(11)C(6)O(9)P(1)' mod_dict['Phosphoguanosine[H]'] = 'H NORMAL 345.047435 345.047435 0 H(12)C(10)N(5)O(7)P(1)' mod_dict['Phosphoguanosine[K]'] = 'K NORMAL 345.047435 345.047435 0 H(12)C(10)N(5)O(7)P(1)' mod_dict['Phosphopantetheine[S]'] = 'S NORMAL 340.085794 340.085794 0 H(21)C(11)N(2)O(6)P(1)S(1)' mod_dict['Phosphopropargyl[S]'] = 'S NORMAL 116.997965 116.997965 0 H(4)C(3)N(1)O(2)P(1)' mod_dict['Phosphopropargyl[T]'] = 'T NORMAL 116.997965 116.997965 0 H(4)C(3)N(1)O(2)P(1)' mod_dict['Phosphopropargyl[Y]'] = 'Y NORMAL 116.997965 116.997965 0 H(4)C(3)N(1)O(2)P(1)' mod_dict['PhosphoribosyldephosphoCoA[S]'] = 'S NORMAL 881.146904 881.146904 0 H(42)C(26)N(7)O(19)P(3)S(1)' mod_dict['Phycocyanobilin[C]'] = 'C NORMAL 586.279135 586.279135 0 H(38)C(33)N(4)O(6)' mod_dict['Phycoerythrobilin[C]'] = 'C NORMAL 588.294785 588.294785 0 H(40)C(33)N(4)O(6)' mod_dict['Phytochromobilin[C]'] = 'C NORMAL 584.263485 584.263485 0 H(36)C(33)N(4)O(6)' mod_dict['Piperidine[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 68.062600 68.062600 0 H(8)C(5)' mod_dict['Piperidine[K]'] = 'K NORMAL 68.062600 68.062600 0 H(8)C(5)' mod_dict['Pro->Ala[P]'] = 'P NORMAL -26.015650 -26.015650 0 H(-2)C(-2)' mod_dict['Pro->Arg[P]'] = 'P NORMAL 59.048347 59.048347 0 H(5)C(1)N(3)' mod_dict['Pro->Asn[P]'] = 'P NORMAL 16.990164 16.990164 0 H(-1)C(-1)N(1)O(1)' mod_dict['Pro->Asp[P]'] = 'P NORMAL 17.974179 17.974179 0 H(-2)C(-1)O(2)' mod_dict['Pro->Cys[P]'] = 'P NORMAL 5.956421 5.956421 0 H(-2)C(-2)S(1)' mod_dict['Pro->Gln[P]'] = 'P NORMAL 31.005814 31.005814 0 H(1)N(1)O(1)' mod_dict['Pro->Gly[P]'] = 'P NORMAL -40.031300 -40.031300 0 H(-4)C(-3)' mod_dict['Pro->His[P]'] = 'P NORMAL 40.006148 40.006148 0 C(1)N(2)' mod_dict['Pro->Lys[P]'] = 'P NORMAL 31.042199 31.042199 0 H(5)C(1)N(1)' mod_dict['Pro->Met[P]'] = 'P NORMAL 33.987721 33.987721 0 H(2)S(1)' mod_dict['Pro->Phe[P]'] = 'P NORMAL 50.015650 50.015650 0 H(2)C(4)' mod_dict['Pro->Pyrrolidinone[P]'] = 'P NORMAL -30.010565 -30.010565 0 H(-2)C(-1)O(-1)' mod_dict['Pro->Pyrrolidone[P]'] = 'P NORMAL -27.994915 -27.994915 0 C(-1)O(-1)' mod_dict['Pro->Ser[P]'] = 'P NORMAL -10.020735 -10.020735 0 H(-2)C(-2)O(1)' mod_dict['Pro->Thr[P]'] = 'P NORMAL 3.994915 3.994915 0 C(-1)O(1)' mod_dict['Pro->Trp[P]'] = 'P NORMAL 89.026549 89.026549 0 H(3)C(6)N(1)' mod_dict['Pro->Tyr[P]'] = 'P NORMAL 66.010565 66.010565 0 H(2)C(4)O(1)' mod_dict['Pro->Val[P]'] = 'P NORMAL 2.015650 2.015650 0 H(2)' mod_dict['Pro->Xle[P]'] = 'P NORMAL 16.031300 16.031300 0 H(4)C(1)' mod_dict['Pro->pyro-Glu[P]'] = 'P NORMAL 13.979265 13.979265 0 H(-2)O(1)' mod_dict['Propargylamine[AnyC-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_C 37.031634 37.031634 0 H(3)C(3)N(1)O(-1)' mod_dict['Propargylamine[D]'] = 'D NORMAL 37.031634 37.031634 0 H(3)C(3)N(1)O(-1)' mod_dict['Propargylamine[E]'] = 'E NORMAL 37.031634 37.031634 0 H(3)C(3)N(1)O(-1)' mod_dict['Propionamide[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 71.037114 71.037114 0 H(5)C(3)N(1)O(1)' mod_dict['Propionamide[C]'] = 'C NORMAL 71.037114 71.037114 0 H(5)C(3)N(1)O(1)' mod_dict['Propionamide[K]'] = 'K NORMAL 71.037114 71.037114 0 H(5)C(3)N(1)O(1)' mod_dict['Propionamide_2H(3)[C]'] = 'C NORMAL 74.055944 74.055944 0 H(2)2H(3)C(3)N(1)O(1)' mod_dict['Propionyl[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 56.026215 56.026215 0 H(4)C(3)O(1)' mod_dict['Propionyl[K]'] = 'K NORMAL 56.026215 56.026215 0 H(4)C(3)O(1)' mod_dict['Propionyl[S]'] = 'S NORMAL 56.026215 56.026215 0 H(4)C(3)O(1)' mod_dict['Propionyl[T]'] = 'T NORMAL 56.026215 56.026215 0 H(4)C(3)O(1)' mod_dict['Propionyl[ProteinN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PRO_N 56.026215 56.026215 0 H(4)C(3)O(1)' mod_dict['Propionyl_13C(3)[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 59.036279 59.036279 0 H(4)13C(3)O(1)' mod_dict['Propionyl_13C(3)[K]'] = 'K NORMAL 59.036279 59.036279 0 H(4)13C(3)O(1)' mod_dict['Propiophenone[C]'] = 'C NORMAL 132.057515 132.057515 0 H(8)C(9)O(1)' mod_dict['Propiophenone[H]'] = 'H NORMAL 132.057515 132.057515 0 H(8)C(9)O(1)' mod_dict['Propiophenone[K]'] = 'K NORMAL 132.057515 132.057515 0 H(8)C(9)O(1)' mod_dict['Propiophenone[R]'] = 'R NORMAL 132.057515 132.057515 0 H(8)C(9)O(1)' mod_dict['Propiophenone[S]'] = 'S NORMAL 132.057515 132.057515 0 H(8)C(9)O(1)' mod_dict['Propiophenone[T]'] = 'T NORMAL 132.057515 132.057515 0 H(8)C(9)O(1)' mod_dict['Propiophenone[W]'] = 'W NORMAL 132.057515 132.057515 0 H(8)C(9)O(1)' mod_dict['Propyl[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 42.046950 42.046950 0 H(6)C(3)' mod_dict['Propyl[K]'] = 'K NORMAL 42.046950 42.046950 0 H(6)C(3)' mod_dict['PropylNAGthiazoline[C]'] = 'C NORMAL 232.064354 232.064354 0 H(14)C(9)N(1)O(4)S(1)' mod_dict['Propyl_2H(6)[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 48.084611 48.084611 0 2H(6)C(3)' mod_dict['Propyl_2H(6)[K]'] = 'K NORMAL 48.084611 48.084611 0 2H(6)C(3)' mod_dict['Puromycin[AnyC-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_C 453.212452 453.212452 0 H(27)C(22)N(7)O(4)' mod_dict['PyMIC[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 134.048013 134.048013 0 H(6)C(7)N(2)O(1)' mod_dict['PyridoxalPhosphate[K]'] = 'K NORMAL 229.014009 229.014009 0 H(8)C(8)N(1)O(5)P(1)' mod_dict['PyridoxalPhosphateH2[K]'] = 'K NORMAL 231.029660 231.029660 0 H(10)C(8)N(1)O(5)P(1)' mod_dict['Pyridylacetyl[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 119.037114 119.037114 0 H(5)C(7)N(1)O(1)' mod_dict['Pyridylacetyl[K]'] = 'K NORMAL 119.037114 119.037114 0 H(5)C(7)N(1)O(1)' mod_dict['Pyridylethyl[C]'] = 'C NORMAL 105.057849 105.057849 0 H(7)C(7)N(1)' mod_dict['Pyro-carbamidomethyl[AnyN-termC]'] = 'C PEP_N 39.994915 39.994915 0 C(2)O(1)' mod_dict['PyruvicAcidIminyl[K]'] = 'K NORMAL 70.005479 70.005479 0 H(2)C(3)O(2)' mod_dict['PyruvicAcidIminyl[ProteinN-termC]'] = 'C PRO_N 70.005479 70.005479 0 H(2)C(3)O(2)' mod_dict['PyruvicAcidIminyl[ProteinN-termV]'] = 'V PRO_N 70.005479 70.005479 0 H(2)C(3)O(2)' mod_dict['QAT[C]'] = 'C NORMAL 171.149738 171.149738 0 H(19)C(9)N(2)O(1)' mod_dict['QAT_2H(3)[C]'] = 'C NORMAL 174.168569 174.168569 0 H(16)2H(3)C(9)N(2)O(1)' mod_dict['QEQTGG[K]'] = 'K NORMAL 600.250354 600.250354 0 H(36)C(23)N(8)O(11)' mod_dict['QQQTGG[K]'] = 'K NORMAL 599.266339 599.266339 0 H(37)C(23)N(9)O(10)' mod_dict['QTGG[K]'] = 'K NORMAL 343.149184 343.149184 0 H(21)C(13)N(5)O(6)' mod_dict['Quinone[W]'] = 'W NORMAL 29.974179 29.974179 0 H(-2)O(2)' mod_dict['Quinone[Y]'] = 'Y NORMAL 29.974179 29.974179 0 H(-2)O(2)' mod_dict['Retinylidene[K]'] = 'K NORMAL 266.203451 266.203451 0 H(26)C(20)' mod_dict['SMA[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 127.063329 127.063329 0 H(9)C(6)N(1)O(2)' mod_dict['SMA[K]'] = 'K NORMAL 127.063329 127.063329 0 H(9)C(6)N(1)O(2)' mod_dict['SMCC-maleimide[C]'] = 'C NORMAL 321.205242 321.205242 0 H(27)C(17)N(3)O(3)' mod_dict['SPITC[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 214.971084 214.971084 0 H(5)C(7)N(1)O(3)S(2)' mod_dict['SPITC[K]'] = 'K NORMAL 214.971084 214.971084 0 H(5)C(7)N(1)O(3)S(2)' mod_dict['SPITC_13C(6)[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 220.991213 220.991213 0 H(5)C(1)13C(6)N(1)O(3)S(2)' mod_dict['SPITC_13C(6)[K]'] = 'K NORMAL 220.991213 220.991213 0 H(5)C(1)13C(6)N(1)O(3)S(2)' mod_dict['SUMO2135[K]'] = 'K NORMAL 2135.920496 2135.920496 0 H(137)C(90)N(21)O(37)S(1)' mod_dict['SUMO3549[K]'] = 'K NORMAL 3549.536568 3549.536568 0 H(224)C(150)N(38)O(60)S(1)' mod_dict['Saligenin[H]'] = 'H NORMAL 106.041865 106.041865 0 H(6)C(7)O(1)' mod_dict['Saligenin[K]'] = 'K NORMAL 106.041865 106.041865 0 H(6)C(7)O(1)' mod_dict['SecCarbamidomethyl[C]'] = 'C NORMAL 104.965913 104.965913 0 H(3)C(2)N(1)O(1)S(-1)Se(1)' mod_dict['SecNEM[C]'] = 'C NORMAL 172.992127 172.992127 0 H(7)C(6)N(1)O(2)S(-1)Se(1)' mod_dict['SecNEM_2H(5)[C]'] = 'C NORMAL 178.023511 178.023511 0 H(2)2H(5)C(6)N(1)O(2)S(-1)Se(1)' mod_dict['Ser->Arg[S]'] = 'S NORMAL 69.069083 69.069083 0 H(7)C(3)N(3)O(-1)' mod_dict['Ser->Asn[S]'] = 'S NORMAL 27.010899 27.010899 0 H(1)C(1)N(1)' mod_dict['Ser->Cys[S]'] = 'S NORMAL 15.977156 15.977156 0 O(-1)S(1)' mod_dict['Ser->Gln[S]'] = 'S NORMAL 41.026549 41.026549 0 H(3)C(2)N(1)' mod_dict['Ser->Gly[S]'] = 'S NORMAL -30.010565 -30.010565 0 H(-2)C(-1)O(-1)' mod_dict['Ser->His[S]'] = 'S NORMAL 50.026883 50.026883 0 H(2)C(3)N(2)O(-1)' mod_dict['Ser->LacticAcid[ProteinN-termS]'] = 'S PRO_N -15.010899 -15.010899 0 H(-1)N(-1)' mod_dict['Ser->Lys[S]'] = 'S NORMAL 41.062935 41.062935 0 H(7)C(3)N(1)O(-1)' mod_dict['Ser->Phe[S]'] = 'S NORMAL 60.036386 60.036386 0 H(4)C(6)O(-1)' mod_dict['Ser->Pro[S]'] = 'S NORMAL 10.020735 10.020735 0 H(2)C(2)O(-1)' mod_dict['Ser->Trp[S]'] = 'S NORMAL 99.047285 99.047285 0 H(5)C(8)N(1)O(-1)' mod_dict['Ser->Tyr[S]'] = 'S NORMAL 76.031300 76.031300 0 H(4)C(6)' mod_dict['Ser->Val[S]'] = 'S NORMAL 12.036386 12.036386 0 H(4)C(2)O(-1)' mod_dict['Ser->Xle[S]'] = 'S NORMAL 26.052036 26.052036 0 H(6)C(3)O(-1)' mod_dict['Succinyl[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 100.016044 100.016044 0 H(4)C(4)O(3)' mod_dict['Succinyl[K]'] = 'K NORMAL 100.016044 100.016044 0 H(4)C(4)O(3)' mod_dict['Succinyl[ProteinN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PRO_N 100.016044 100.016044 0 H(4)C(4)O(3)' mod_dict['Succinyl_13C(4)[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 104.029463 104.029463 0 H(4)13C(4)O(3)' mod_dict['Succinyl_13C(4)[K]'] = 'K NORMAL 104.029463 104.029463 0 H(4)13C(4)O(3)' mod_dict['Succinyl_2H(4)[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 104.041151 104.041151 0 2H(4)C(4)O(3)' mod_dict['Succinyl_2H(4)[K]'] = 'K NORMAL 104.041151 104.041151 0 2H(4)C(4)O(3)' mod_dict['SulfanilicAcid[AnyC-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_C 155.004099 155.004099 0 H(5)C(6)N(1)O(2)S(1)' mod_dict['SulfanilicAcid[D]'] = 'D NORMAL 155.004099 155.004099 0 H(5)C(6)N(1)O(2)S(1)' mod_dict['SulfanilicAcid[E]'] = 'E NORMAL 155.004099 155.004099 0 H(5)C(6)N(1)O(2)S(1)' mod_dict['SulfanilicAcid_13C(6)[AnyC-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_C 161.024228 161.024228 0 H(5)13C(6)N(1)O(2)S(1)' mod_dict['SulfanilicAcid_13C(6)[D]'] = 'D NORMAL 161.024228 161.024228 0 H(5)13C(6)N(1)O(2)S(1)' mod_dict['SulfanilicAcid_13C(6)[E]'] = 'E NORMAL 161.024228 161.024228 0 H(5)13C(6)N(1)O(2)S(1)' mod_dict['Sulfide[C]'] = 'C NORMAL 31.972071 31.972071 0 S(1)' mod_dict['Sulfide[D]'] = 'D NORMAL 31.972071 31.972071 0 S(1)' mod_dict['Sulfide[W]'] = 'W NORMAL 31.972071 31.972071 0 S(1)' mod_dict['Sulfo-NHS-LC-LC-Biotin[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 452.245726 452.245726 0 H(36)C(22)N(4)O(4)S(1)' mod_dict['Sulfo-NHS-LC-LC-Biotin[K]'] = 'K NORMAL 452.245726 452.245726 0 H(36)C(22)N(4)O(4)S(1)' mod_dict['Sulfo[C]'] = 'C NORMAL 79.956815 79.956815 0 O(3)S(1)' mod_dict['Sulfo[S]'] = 'S NORMAL 79.956815 79.956815 1 79.956815 79.956815 O(3)S(1)' mod_dict['Sulfo[T]'] = 'T NORMAL 79.956815 79.956815 1 79.956815 79.956815 O(3)S(1)' mod_dict['Sulfo[Y]'] = 'Y NORMAL 79.956815 79.956815 1 79.956815 79.956815 O(3)S(1)' mod_dict['SulfoGMBS[C]'] = 'C NORMAL 458.162391 458.162391 0 H(26)C(22)N(4)O(5)S(1)' mod_dict['SulfurDioxide[C]'] = 'C NORMAL 63.961900 63.961900 0 O(2)S(1)' mod_dict['TAMRA-FP[S]'] = 'S NORMAL 659.312423 659.312423 0 H(46)C(37)N(3)O(6)P(1)' mod_dict['TAMRA-FP[Y]'] = 'Y NORMAL 659.312423 659.312423 0 H(46)C(37)N(3)O(6)P(1)' mod_dict['TMAB[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 128.107539 128.107539 1 59.073499 59.073499 H(14)C(7)N(1)O(1)' mod_dict['TMAB[K]'] = 'K NORMAL 128.107539 128.107539 1 59.073499 59.073499 H(14)C(7)N(1)O(1)' mod_dict['TMAB_2H(9)[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 137.164030 137.164030 1 68.129990 68.129990 H(5)2H(9)C(7)N(1)O(1)' mod_dict['TMAB_2H(9)[K]'] = 'K NORMAL 137.164030 137.164030 1 68.129990 68.129990 H(5)2H(9)C(7)N(1)O(1)' mod_dict['TMPP-Ac[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 572.181134 572.181134 0 H(33)C(29)O(10)P(1)' mod_dict['TMT[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 224.152478 224.152478 0 H(20)C(12)N(2)O(2)' mod_dict['TMT[H]'] = 'H NORMAL 224.152478 224.152478 0 H(20)C(12)N(2)O(2)' mod_dict['TMT[K]'] = 'K NORMAL 224.152478 224.152478 0 H(20)C(12)N(2)O(2)' mod_dict['TMT[S]'] = 'S NORMAL 224.152478 224.152478 0 H(20)C(12)N(2)O(2)' mod_dict['TMT[T]'] = 'T NORMAL 224.152478 224.152478 0 H(20)C(12)N(2)O(2)' mod_dict['TMT[ProteinN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PRO_N 224.152478 224.152478 0 H(20)C(12)N(2)O(2)' mod_dict['TMT2plex[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 225.155833 225.155833 0 H(20)C(11)13C(1)N(2)O(2)' mod_dict['TMT2plex[H]'] = 'H NORMAL 225.155833 225.155833 0 H(20)C(11)13C(1)N(2)O(2)' mod_dict['TMT2plex[K]'] = 'K NORMAL 225.155833 225.155833 0 H(20)C(11)13C(1)N(2)O(2)' mod_dict['TMT2plex[S]'] = 'S NORMAL 225.155833 225.155833 0 H(20)C(11)13C(1)N(2)O(2)' mod_dict['TMT2plex[T]'] = 'T NORMAL 225.155833 225.155833 0 H(20)C(11)13C(1)N(2)O(2)' mod_dict['TMT2plex[ProteinN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PRO_N 225.155833 225.155833 0 H(20)C(11)13C(1)N(2)O(2)' mod_dict['TMT6plex[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 229.162932 229.162932 0 H(20)C(8)13C(4)N(1)15N(1)O(2)' mod_dict['TMT6plex[H]'] = 'H NORMAL 229.162932 229.162932 0 H(20)C(8)13C(4)N(1)15N(1)O(2)' mod_dict['TMT6plex[K]'] = 'K NORMAL 229.162932 229.162932 0 H(20)C(8)13C(4)N(1)15N(1)O(2)' mod_dict['TMT6plex[S]'] = 'S NORMAL 229.162932 229.162932 0 H(20)C(8)13C(4)N(1)15N(1)O(2)' mod_dict['TMT6plex[T]'] = 'T NORMAL 229.162932 229.162932 0 H(20)C(8)13C(4)N(1)15N(1)O(2)' mod_dict['TMT6plex[ProteinN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PRO_N 229.162932 229.162932 0 H(20)C(8)13C(4)N(1)15N(1)O(2)' mod_dict['TNBS[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 210.986535 210.986535 0 H(1)C(6)N(3)O(6)' mod_dict['TNBS[K]'] = 'K NORMAL 210.986535 210.986535 0 H(1)C(6)N(3)O(6)' mod_dict['Thiadiazole[C]'] = 'C NORMAL 174.025169 174.025169 0 H(6)C(9)N(2)S(1)' mod_dict['Thiazolidine[AnyN-termC]'] = 'C PEP_N 12.000000 12.000000 0 C(1)' mod_dict['Thioacyl[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 87.998285 87.998285 0 H(4)C(3)O(1)S(1)' mod_dict['Thioacyl[K]'] = 'K NORMAL 87.998285 87.998285 0 H(4)C(3)O(1)S(1)' mod_dict['Thiophos-S-S-biotin[S]'] = 'S NORMAL 525.142894 525.142894 1 525.142894 525.142894 H(34)C(19)N(4)O(5)P(1)S(3)' mod_dict['Thiophos-S-S-biotin[T]'] = 'T NORMAL 525.142894 525.142894 1 525.142894 525.142894 H(34)C(19)N(4)O(5)P(1)S(3)' mod_dict['Thiophos-S-S-biotin[Y]'] = 'Y NORMAL 525.142894 525.142894 1 525.142894 525.142894 H(34)C(19)N(4)O(5)P(1)S(3)' mod_dict['Thiophospho[S]'] = 'S NORMAL 95.943487 95.943487 0 H(1)O(2)P(1)S(1)' mod_dict['Thiophospho[T]'] = 'T NORMAL 95.943487 95.943487 0 H(1)O(2)P(1)S(1)' mod_dict['Thiophospho[Y]'] = 'Y NORMAL 95.943487 95.943487 0 H(1)O(2)P(1)S(1)' mod_dict['Thr->Ala[T]'] = 'T NORMAL -30.010565 -30.010565 0 H(-2)C(-1)O(-1)' mod_dict['Thr->Arg[T]'] = 'T NORMAL 55.053433 55.053433 0 H(5)C(2)N(3)O(-1)' mod_dict['Thr->Asn[T]'] = 'T NORMAL 12.995249 12.995249 0 H(-1)N(1)' mod_dict['Thr->Asp[T]'] = 'T NORMAL 13.979265 13.979265 0 H(-2)O(1)' mod_dict['Thr->Cys[T]'] = 'T NORMAL 1.961506 1.961506 0 H(-2)C(-1)O(-1)S(1)' mod_dict['Thr->Gln[T]'] = 'T NORMAL 27.010899 27.010899 0 H(1)C(1)N(1)' mod_dict['Thr->Gly[T]'] = 'T NORMAL -44.026215 -44.026215 0 H(-4)C(-2)O(-1)' mod_dict['Thr->His[T]'] = 'T NORMAL 36.011233 36.011233 0 C(2)N(2)O(-1)' mod_dict['Thr->Met[T]'] = 'T NORMAL 29.992806 29.992806 0 H(2)C(1)O(-1)S(1)' mod_dict['Thr->Phe[T]'] = 'T NORMAL 46.020735 46.020735 0 H(2)C(5)O(-1)' mod_dict['Thr->Pro[T]'] = 'T NORMAL -3.994915 -3.994915 0 C(1)O(-1)' mod_dict['Thr->Ser[T]'] = 'T NORMAL -14.015650 -14.015650 0 H(-2)C(-1)' mod_dict['Thr->Trp[T]'] = 'T NORMAL 85.031634 85.031634 0 H(3)C(7)N(1)O(-1)' mod_dict['Thr->Tyr[T]'] = 'T NORMAL 62.015650 62.015650 0 H(2)C(5)' mod_dict['Thr->Val[T]'] = 'T NORMAL -1.979265 -1.979265 0 H(2)C(1)O(-1)' mod_dict['Thr->Xle[T]'] = 'T NORMAL 12.036386 12.036386 0 H(4)C(2)O(-1)' mod_dict['Thrbiotinhydrazide[T]'] = 'T NORMAL 240.104482 240.104482 0 H(16)C(10)N(4)O(1)S(1)' mod_dict['Thyroxine[Y]'] = 'Y NORMAL 595.612807 595.612807 0 C(6)O(1)I(4)' mod_dict['Triiodo[Y]'] = 'Y NORMAL 377.689944 377.689944 0 H(-3)I(3)' mod_dict['Triiodothyronine[Y]'] = 'Y NORMAL 469.716159 469.716159 0 H(1)C(6)O(1)I(3)' mod_dict['Trimethyl[R]'] = 'R NORMAL 42.046950 42.046950 0 H(6)C(3)' mod_dict['Trimethyl[ProteinN-termA]'] = 'A PRO_N 42.046950 42.046950 0 H(6)C(3)' mod_dict['Trimethyl_2H(9)[K]'] = 'K NORMAL 51.103441 51.103441 0 H(-3)2H(9)C(3)' mod_dict['Trimethyl_2H(9)[R]'] = 'R NORMAL 51.103441 51.103441 0 H(-3)2H(9)C(3)' mod_dict['Trioxidation[C]'] = 'C NORMAL 47.984744 47.984744 0 O(3)' mod_dict['Trioxidation[W]'] = 'W NORMAL 47.984744 47.984744 0 O(3)' mod_dict['Trioxidation[Y]'] = 'Y NORMAL 47.984744 47.984744 0 O(3)' mod_dict['Tripalmitate[ProteinN-termC]'] = 'C PRO_N 788.725777 788.725777 0 H(96)C(51)O(5)' mod_dict['Trp->Ala[W]'] = 'W NORMAL -115.042199 -115.042199 0 H(-5)C(-8)N(-1)' mod_dict['Trp->Arg[W]'] = 'W NORMAL -29.978202 -29.978202 0 H(2)C(-5)N(2)' mod_dict['Trp->Asn[W]'] = 'W NORMAL -72.036386 -72.036386 0 H(-4)C(-7)O(1)' mod_dict['Trp->Asp[W]'] = 'W NORMAL -71.052370 -71.052370 0 H(-5)C(-7)N(-1)O(2)' mod_dict['Trp->Cys[W]'] = 'W NORMAL -83.070128 -83.070128 0 H(-5)C(-8)N(-1)S(1)' mod_dict['Trp->Gln[W]'] = 'W NORMAL -58.020735 -58.020735 0 H(-2)C(-6)O(1)' mod_dict['Trp->Glu[W]'] = 'W NORMAL -57.036720 -57.036720 0 H(-3)C(-6)N(-1)O(2)' mod_dict['Trp->Gly[W]'] = 'W NORMAL -129.057849 -129.057849 0 H(-7)C(-9)N(-1)' mod_dict['Trp->His[W]'] = 'W NORMAL -49.020401 -49.020401 0 H(-3)C(-5)N(1)' mod_dict['Trp->Hydroxykynurenin[W]'] = 'W NORMAL 19.989829 19.989829 0 C(-1)O(2)' mod_dict['Trp->Kynurenin[W]'] = 'W NORMAL 3.994915 3.994915 0 C(-1)O(1)' mod_dict['Trp->Lys[W]'] = 'W NORMAL -57.984350 -57.984350 0 H(2)C(-5)' mod_dict['Trp->Met[W]'] = 'W NORMAL -55.038828 -55.038828 0 H(-1)C(-6)N(-1)S(1)' mod_dict['Trp->Oxolactone[W]'] = 'W NORMAL 13.979265 13.979265 0 H(-2)O(1)' mod_dict['Trp->Phe[W]'] = 'W NORMAL -39.010899 -39.010899 0 H(-1)C(-2)N(-1)' mod_dict['Trp->Pro[W]'] = 'W NORMAL -89.026549 -89.026549 0 H(-3)C(-6)N(-1)' mod_dict['Trp->Ser[W]'] = 'W NORMAL -99.047285 -99.047285 0 H(-5)C(-8)N(-1)O(1)' mod_dict['Trp->Thr[W]'] = 'W NORMAL -85.031634 -85.031634 0 H(-3)C(-7)N(-1)O(1)' mod_dict['Trp->Tyr[W]'] = 'W NORMAL -23.015984 -23.015984 0 H(-1)C(-2)N(-1)O(1)' mod_dict['Trp->Val[W]'] = 'W NORMAL -87.010899 -87.010899 0 H(-1)C(-6)N(-1)' mod_dict['Trp->Xle[W]'] = 'W NORMAL -72.995249 -72.995249 0 H(1)C(-5)N(-1)' mod_dict['Tyr->Ala[Y]'] = 'Y NORMAL -92.026215 -92.026215 0 H(-4)C(-6)O(-1)' mod_dict['Tyr->Arg[Y]'] = 'Y NORMAL -6.962218 -6.962218 0 H(3)C(-3)N(3)O(-1)' mod_dict['Tyr->Asn[Y]'] = 'Y NORMAL -49.020401 -49.020401 0 H(-3)C(-5)N(1)' mod_dict['Tyr->Asp[Y]'] = 'Y NORMAL -48.036386 -48.036386 0 H(-4)C(-5)O(1)' mod_dict['Tyr->Cys[Y]'] = 'Y NORMAL -60.054144 -60.054144 0 H(-4)C(-6)O(-1)S(1)' mod_dict['Tyr->Dha[Y]'] = 'Y NORMAL -94.041865 -94.041865 0 H(-6)C(-6)O(-1)' mod_dict['Tyr->Gln[Y]'] = 'Y NORMAL -35.004751 -35.004751 0 H(-1)C(-4)N(1)' mod_dict['Tyr->Glu[Y]'] = 'Y NORMAL -34.020735 -34.020735 0 H(-2)C(-4)O(1)' mod_dict['Tyr->Gly[Y]'] = 'Y NORMAL -106.041865 -106.041865 0 H(-6)C(-7)O(-1)' mod_dict['Tyr->His[Y]'] = 'Y NORMAL -26.004417 -26.004417 0 H(-2)C(-3)N(2)O(-1)' mod_dict['Tyr->Lys[Y]'] = 'Y NORMAL -34.968366 -34.968366 0 H(3)C(-3)N(1)O(-1)' mod_dict['Tyr->Met[Y]'] = 'Y NORMAL -32.022844 -32.022844 0 C(-4)O(-1)S(1)' mod_dict['Tyr->Phe[Y]'] = 'Y NORMAL -15.994915 -15.994915 0 O(-1)' mod_dict['Tyr->Pro[Y]'] = 'Y NORMAL -66.010565 -66.010565 0 H(-2)C(-4)O(-1)' mod_dict['Tyr->Ser[Y]'] = 'Y NORMAL -76.031300 -76.031300 0 H(-4)C(-6)' mod_dict['Tyr->Thr[Y]'] = 'Y NORMAL -62.015650 -62.015650 0 H(-2)C(-5)' mod_dict['Tyr->Trp[Y]'] = 'Y NORMAL 23.015984 23.015984 0 H(1)C(2)N(1)O(-1)' mod_dict['Tyr->Val[Y]'] = 'Y NORMAL -63.994915 -63.994915 0 C(-4)O(-1)' mod_dict['Tyr->Xle[Y]'] = 'Y NORMAL -49.979265 -49.979265 0 H(2)C(-3)O(-1)' mod_dict['Ub-Br2[C]'] = 'C NORMAL 100.063663 100.063663 0 H(8)C(4)N(2)O(1)' mod_dict['Ub-VME[C]'] = 'C NORMAL 173.092617 173.092617 0 H(13)C(7)N(2)O(3)' mod_dict['Ub-amide[C]'] = 'C NORMAL 196.108602 196.108602 0 H(14)C(9)N(3)O(2)' mod_dict['Ub-fluorescein[C]'] = 'C NORMAL 597.209772 597.209772 0 H(29)C(31)N(6)O(7)' mod_dict['UgiJoullie[D]'] = 'D NORMAL 1106.489350 1106.489350 0 H(60)C(47)N(23)O(10)' mod_dict['UgiJoullie[E]'] = 'E NORMAL 1106.489350 1106.489350 0 H(60)C(47)N(23)O(10)' mod_dict['UgiJoullieProGly[D]'] = 'D NORMAL 154.074228 154.074228 0 H(10)C(7)N(2)O(2)' mod_dict['UgiJoullieProGly[E]'] = 'E NORMAL 154.074228 154.074228 0 H(10)C(7)N(2)O(2)' mod_dict['UgiJoullieProGlyProGly[D]'] = 'D NORMAL 308.148455 308.148455 0 H(20)C(14)N(4)O(4)' mod_dict['UgiJoullieProGlyProGly[E]'] = 'E NORMAL 308.148455 308.148455 0 H(20)C(14)N(4)O(4)' mod_dict['VFQQQTGG[K]'] = 'K NORMAL 845.403166 845.403166 0 H(55)C(37)N(11)O(12)' mod_dict['VIEVYQEQTGG[K]'] = 'K NORMAL 1203.577168 1203.577168 0 H(81)C(53)N(13)O(19)' mod_dict['Val->Ala[V]'] = 'V NORMAL -28.031300 -28.031300 0 H(-4)C(-2)' mod_dict['Val->Arg[V]'] = 'V NORMAL 57.032697 57.032697 0 H(3)C(1)N(3)' mod_dict['Val->Asn[V]'] = 'V NORMAL 14.974514 14.974514 0 H(-3)C(-1)N(1)O(1)' mod_dict['Val->Asp[V]'] = 'V NORMAL 15.958529 15.958529 0 H(-4)C(-1)O(2)' mod_dict['Val->Cys[V]'] = 'V NORMAL 3.940771 3.940771 0 H(-4)C(-2)S(1)' mod_dict['Val->Gln[V]'] = 'V NORMAL 28.990164 28.990164 0 H(-1)N(1)O(1)' mod_dict['Val->Glu[V]'] = 'V NORMAL 29.974179 29.974179 0 H(-2)O(2)' mod_dict['Val->Gly[V]'] = 'V NORMAL -42.046950 -42.046950 0 H(-6)C(-3)' mod_dict['Val->His[V]'] = 'V NORMAL 37.990498 37.990498 0 H(-2)C(1)N(2)' mod_dict['Val->Lys[V]'] = 'V NORMAL 29.026549 29.026549 0 H(3)C(1)N(1)' mod_dict['Val->Met[V]'] = 'V NORMAL 31.972071 31.972071 0 S(1)' mod_dict['Val->Phe[V]'] = 'V NORMAL 48.000000 48.000000 0 C(4)' mod_dict['Val->Pro[V]'] = 'V NORMAL -2.015650 -2.015650 0 H(-2)' mod_dict['Val->Ser[V]'] = 'V NORMAL -12.036386 -12.036386 0 H(-4)C(-2)O(1)' mod_dict['Val->Thr[V]'] = 'V NORMAL 1.979265 1.979265 0 H(-2)C(-1)O(1)' mod_dict['Val->Trp[V]'] = 'V NORMAL 87.010899 87.010899 0 H(1)C(6)N(1)' mod_dict['Val->Tyr[V]'] = 'V NORMAL 63.994915 63.994915 0 C(4)O(1)' mod_dict['Val->Xle[V]'] = 'V NORMAL 14.015650 14.015650 0 H(2)C(1)' mod_dict['Withaferin[C]'] = 'C NORMAL 470.266839 470.266839 0 H(38)C(28)O(6)' mod_dict['Xle->Ala[I]'] = 'I NORMAL -42.046950 -42.046950 0 H(-6)C(-3)' mod_dict['Xle->Ala[L]'] = 'L NORMAL -42.046950 -42.046950 0 H(-6)C(-3)' mod_dict['Xle->Arg[I]'] = 'I NORMAL 43.017047 43.017047 0 H(1)N(3)' mod_dict['Xle->Arg[L]'] = 'L NORMAL 43.017047 43.017047 0 H(1)N(3)' mod_dict['Xle->Asn[I]'] = 'I NORMAL 0.958863 0.958863 0 H(-5)C(-2)N(1)O(1)' mod_dict['Xle->Asn[L]'] = 'L NORMAL 0.958863 0.958863 0 H(-5)C(-2)N(1)O(1)' mod_dict['Xle->Asp[I]'] = 'I NORMAL 1.942879 1.942879 0 H(-6)C(-2)O(2)' mod_dict['Xle->Asp[L]'] = 'L NORMAL 1.942879 1.942879 0 H(-6)C(-2)O(2)' mod_dict['Xle->Cys[I]'] = 'I NORMAL -10.074880 -10.074880 0 H(-6)C(-3)S(1)' mod_dict['Xle->Cys[L]'] = 'L NORMAL -10.074880 -10.074880 0 H(-6)C(-3)S(1)' mod_dict['Xle->Gln[I]'] = 'I NORMAL 14.974514 14.974514 0 H(-3)C(-1)N(1)O(1)' mod_dict['Xle->Gln[L]'] = 'L NORMAL 14.974514 14.974514 0 H(-3)C(-1)N(1)O(1)' mod_dict['Xle->Glu[I]'] = 'I NORMAL 15.958529 15.958529 0 H(-4)C(-1)O(2)' mod_dict['Xle->Glu[L]'] = 'L NORMAL 15.958529 15.958529 0 H(-4)C(-1)O(2)' mod_dict['Xle->Gly[I]'] = 'I NORMAL -56.062600 -56.062600 0 H(-8)C(-4)' mod_dict['Xle->Gly[L]'] = 'L NORMAL -56.062600 -56.062600 0 H(-8)C(-4)' mod_dict['Xle->His[I]'] = 'I NORMAL 23.974848 23.974848 0 H(-4)N(2)' mod_dict['Xle->His[L]'] = 'L NORMAL 23.974848 23.974848 0 H(-4)N(2)' mod_dict['Xle->Lys[I]'] = 'I NORMAL 15.010899 15.010899 0 H(1)N(1)' mod_dict['Xle->Lys[L]'] = 'L NORMAL 15.010899 15.010899 0 H(1)N(1)' mod_dict['Xle->Met[I]'] = 'I NORMAL 17.956421 17.956421 0 H(-2)C(-1)S(1)' mod_dict['Xle->Met[L]'] = 'L NORMAL 17.956421 17.956421 0 H(-2)C(-1)S(1)' mod_dict['Xle->Phe[I]'] = 'I NORMAL 33.984350 33.984350 0 H(-2)C(3)' mod_dict['Xle->Phe[L]'] = 'L NORMAL 33.984350 33.984350 0 H(-2)C(3)' mod_dict['Xle->Pro[I]'] = 'I NORMAL -16.031300 -16.031300 0 H(-4)C(-1)' mod_dict['Xle->Pro[L]'] = 'L NORMAL -16.031300 -16.031300 0 H(-4)C(-1)' mod_dict['Xle->Ser[I]'] = 'I NORMAL -26.052036 -26.052036 0 H(-6)C(-3)O(1)' mod_dict['Xle->Ser[L]'] = 'L NORMAL -26.052036 -26.052036 0 H(-6)C(-3)O(1)' mod_dict['Xle->Thr[I]'] = 'I NORMAL -12.036386 -12.036386 0 H(-4)C(-2)O(1)' mod_dict['Xle->Thr[L]'] = 'L NORMAL -12.036386 -12.036386 0 H(-4)C(-2)O(1)' mod_dict['Xle->Trp[I]'] = 'I NORMAL 72.995249 72.995249 0 H(-1)C(5)N(1)' mod_dict['Xle->Trp[L]'] = 'L NORMAL 72.995249 72.995249 0 H(-1)C(5)N(1)' mod_dict['Xle->Tyr[I]'] = 'I NORMAL 49.979265 49.979265 0 H(-2)C(3)O(1)' mod_dict['Xle->Tyr[L]'] = 'L NORMAL 49.979265 49.979265 0 H(-2)C(3)O(1)' mod_dict['Xle->Val[I]'] = 'I NORMAL -14.015650 -14.015650 0 H(-2)C(-1)' mod_dict['Xle->Val[L]'] = 'L NORMAL -14.015650 -14.015650 0 H(-2)C(-1)' mod_dict['Xlink_B10621[C]'] = 'C NORMAL 713.093079 713.093079 0 H(30)C(31)N(4)O(6)S(1)I(1)' mod_dict['Xlink_DMP-de[ProteinN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PRO_N 140.094963 140.094963 0 H(12)C(7)N(2)O(1)' mod_dict['Xlink_DMP-s[K]'] = 'K NORMAL 154.110613 154.110613 0 H(14)C(8)N(2)O(1)' mod_dict['Xlink_DMP-s[ProteinN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PRO_N 154.110613 154.110613 0 H(14)C(8)N(2)O(1)' mod_dict['Xlink_DMP[K]'] = 'K NORMAL 122.084398 122.084398 0 H(10)C(7)N(2)' mod_dict['Xlink_DMP[ProteinN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PRO_N 122.084398 122.084398 0 H(10)C(7)N(2)' mod_dict['Xlink_DSS[K]'] = 'K NORMAL 156.078644 156.078644 0 H(12)C(8)O(3)' mod_dict['Xlink_DSS[ProteinN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PRO_N 156.078644 156.078644 0 H(12)C(8)O(3)' mod_dict['Xlink_DST[K]'] = 'K NORMAL 132.005873 132.005873 0 H(4)C(4)O(5)' mod_dict['Xlink_DST[ProteinN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PRO_N 132.005873 132.005873 0 H(4)C(4)O(5)' mod_dict['Xlink_DTSSP[K]'] = 'K NORMAL 191.991486 191.991486 0 H(8)C(6)O(3)S(2)' mod_dict['Xlink_DTSSP[ProteinN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PRO_N 191.991486 191.991486 0 H(8)C(6)O(3)S(2)' mod_dict['Xlink_EGS[K]'] = 'K NORMAL 244.058303 244.058303 0 H(12)C(10)O(7)' mod_dict['Xlink_EGS[ProteinN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PRO_N 244.058303 244.058303 0 H(12)C(10)O(7)' mod_dict['Xlink_EGScleaved[K]'] = 'K NORMAL 99.032028 99.032028 0 H(5)C(4)N(1)O(2)' mod_dict['Xlink_EGScleaved[ProteinN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PRO_N 99.032028 99.032028 0 H(5)C(4)N(1)O(2)' mod_dict['Xlink_SMCC[C]'] = 'C NORMAL 237.100108 237.100108 0 H(15)C(12)N(1)O(4)' mod_dict['Xlink_SSD[K]'] = 'K NORMAL 253.095023 253.095023 0 H(15)C(12)N(1)O(5)' mod_dict['ZGB[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 758.380841 758.380841 0 H(53)B(1)C(37)N(6)O(6)F(2)S(1)' mod_dict['ZGB[K]'] = 'K NORMAL 758.380841 758.380841 0 H(53)B(1)C(37)N(6)O(6)F(2)S(1)' mod_dict['a-type-ion[AnyC-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_C -46.005479 -46.005479 0 H(-2)C(-1)O(-2)' mod_dict['azole[C]'] = 'C NORMAL -20.026215 -20.026215 0 H(-4)O(-1)' mod_dict['azole[S]'] = 'S NORMAL -20.026215 -20.026215 0 H(-4)O(-1)' mod_dict['benzylguanidine[K]'] = 'K NORMAL 132.068748 132.068748 0 H(8)C(8)N(2)' mod_dict['biotinAcrolein298[C]'] = 'C NORMAL 298.146347 298.146347 0 H(22)C(13)N(4)O(2)S(1)' mod_dict['biotinAcrolein298[H]'] = 'H NORMAL 298.146347 298.146347 0 H(22)C(13)N(4)O(2)S(1)' mod_dict['biotinAcrolein298[K]'] = 'K NORMAL 298.146347 298.146347 0 H(22)C(13)N(4)O(2)S(1)' mod_dict['biotinAcrolein298[ProteinN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PRO_N 298.146347 298.146347 0 H(22)C(13)N(4)O(2)S(1)' mod_dict['bisANS-sulfonates[K]'] = 'K NORMAL 437.201774 437.201774 0 H(25)C(32)N(2)' mod_dict['bisANS-sulfonates[S]'] = 'S NORMAL 437.201774 437.201774 0 H(25)C(32)N(2)' mod_dict['bisANS-sulfonates[T]'] = 'T NORMAL 437.201774 437.201774 0 H(25)C(32)N(2)' mod_dict['cGMP+RMP-loss[C]'] = 'C NORMAL 150.041585 150.041585 0 H(4)C(5)N(5)O(1)' mod_dict['cGMP+RMP-loss[S]'] = 'S NORMAL 150.041585 150.041585 0 H(4)C(5)N(5)O(1)' mod_dict['cGMP[C]'] = 'C NORMAL 343.031785 343.031785 0 H(10)C(10)N(5)O(7)P(1)' mod_dict['cGMP[S]'] = 'S NORMAL 343.031785 343.031785 0 H(10)C(10)N(5)O(7)P(1)' mod_dict['cysTMT[C]'] = 'C NORMAL 299.166748 299.166748 0 H(25)C(14)N(3)O(2)S(1)' mod_dict['cysTMT6plex[C]'] = 'C NORMAL 304.177202 304.177202 0 H(25)C(10)13C(4)N(2)15N(1)O(2)S(1)' mod_dict['dHex(1)Hex(1)[S]'] = 'S NORMAL 308.110732 308.110732 0 dHex(1)Hex(1)' mod_dict['dHex(1)Hex(1)[T]'] = 'T NORMAL 308.110732 308.110732 0 dHex(1)Hex(1)' mod_dict['dHex(1)Hex(2)[S]'] = 'S NORMAL 470.163556 470.163556 0 dHex(1)Hex(2)' mod_dict['dHex(1)Hex(2)[T]'] = 'T NORMAL 470.163556 470.163556 0 dHex(1)Hex(2)' mod_dict['dHex(1)Hex(3)[S]'] = 'S NORMAL 632.216379 632.216379 0 dHex(1)Hex(3)' mod_dict['dHex(1)Hex(3)[T]'] = 'T NORMAL 632.216379 632.216379 0 dHex(1)Hex(3)' mod_dict['dHex(1)Hex(3)HexNAc(4)[N]'] = 'N NORMAL 1444.533870 1444.533870 0 dHex(1)Hex(3)HexNAc(4)' mod_dict['dHex(1)Hex(4)[S]'] = 'S NORMAL 794.269203 794.269203 0 dHex(1)Hex(4)' mod_dict['dHex(1)Hex(4)[T]'] = 'T NORMAL 794.269203 794.269203 0 dHex(1)Hex(4)' mod_dict['dHex(1)Hex(4)HexNAc(4)[N]'] = 'N NORMAL 1606.586693 1606.586693 0 dHex(1)Hex(4)HexNAc(4)' mod_dict['dHex(1)Hex(5)[S]'] = 'S NORMAL 956.322026 956.322026 0 dHex(1)Hex(5)' mod_dict['dHex(1)Hex(5)[T]'] = 'T NORMAL 956.322026 956.322026 0 dHex(1)Hex(5)' mod_dict['dHex(1)Hex(5)HexNAc(4)[N]'] = 'N NORMAL 1768.639517 1768.639517 0 dHex(1)Hex(5)HexNAc(4)' mod_dict['dHex(1)Hex(6)[S]'] = 'S NORMAL 1118.374850 1118.374850 0 dHex(1)Hex(6)' mod_dict['dHex(1)Hex(6)[T]'] = 'T NORMAL 1118.374850 1118.374850 0 dHex(1)Hex(6)' mod_dict['dHex[N]'] = 'N NORMAL 146.057909 146.057909 0 dHex(1)' mod_dict['dHex[S]'] = 'S NORMAL 146.057909 146.057909 0 dHex(1)' mod_dict['dHex[T]'] = 'T NORMAL 146.057909 146.057909 0 dHex(1)' mod_dict['dNIC[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 109.048119 109.048119 0 H(1)2H(3)C(6)N(1)O(1)' mod_dict['dichlorination[C]'] = 'C NORMAL 69.937705 69.937705 0 Cl(2)' mod_dict['dichlorination[Y]'] = 'Y NORMAL 69.937705 69.937705 0 Cl(2)' mod_dict['ethylamino[S]'] = 'S NORMAL 27.047285 27.047285 0 H(5)C(2)N(1)O(-1)' mod_dict['ethylamino[T]'] = 'T NORMAL 27.047285 27.047285 0 H(5)C(2)N(1)O(-1)' mod_dict['ethylsulfonylethyl[C]'] = 'C NORMAL 120.024500 120.024500 0 H(8)C(4)O(2)S(1)' mod_dict['ethylsulfonylethyl[H]'] = 'H NORMAL 120.024500 120.024500 0 H(8)C(4)O(2)S(1)' mod_dict['ethylsulfonylethyl[K]'] = 'K NORMAL 120.024500 120.024500 0 H(8)C(4)O(2)S(1)' mod_dict['glucosone[R]'] = 'R NORMAL 160.037173 160.037173 0 H(8)C(6)O(5)' mod_dict['glycidamide[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 87.032028 87.032028 0 H(5)C(3)N(1)O(2)' mod_dict['glycidamide[K]'] = 'K NORMAL 87.032028 87.032028 0 H(5)C(3)N(1)O(2)' mod_dict['iTRAQ4plex[ProteinN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PRO_N 144.102063 144.102063 0 H(12)C(4)13C(3)N(1)15N(1)O(1)' mod_dict['iTRAQ4plex114[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 144.105918 144.105918 0 H(12)C(5)13C(2)N(2)18O(1)' mod_dict['iTRAQ4plex114[K]'] = 'K NORMAL 144.105918 144.105918 0 H(12)C(5)13C(2)N(2)18O(1)' mod_dict['iTRAQ4plex114[Y]'] = 'Y NORMAL 144.105918 144.105918 0 H(12)C(5)13C(2)N(2)18O(1)' mod_dict['iTRAQ4plex115[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 144.099599 144.099599 0 H(12)C(6)13C(1)N(1)15N(1)18O(1)' mod_dict['iTRAQ4plex115[K]'] = 'K NORMAL 144.099599 144.099599 0 H(12)C(6)13C(1)N(1)15N(1)18O(1)' mod_dict['iTRAQ4plex115[Y]'] = 'Y NORMAL 144.099599 144.099599 0 H(12)C(6)13C(1)N(1)15N(1)18O(1)' mod_dict['iTRAQ8plex[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 304.205360 304.205360 0 H(24)C(7)13C(7)N(3)15N(1)O(3)' mod_dict['iTRAQ8plex[H]'] = 'H NORMAL 304.205360 304.205360 0 H(24)C(7)13C(7)N(3)15N(1)O(3)' mod_dict['iTRAQ8plex[K]'] = 'K NORMAL 304.205360 304.205360 0 H(24)C(7)13C(7)N(3)15N(1)O(3)' mod_dict['iTRAQ8plex[S]'] = 'S NORMAL 304.205360 304.205360 0 H(24)C(7)13C(7)N(3)15N(1)O(3)' mod_dict['iTRAQ8plex[T]'] = 'T NORMAL 304.205360 304.205360 0 H(24)C(7)13C(7)N(3)15N(1)O(3)' mod_dict['iTRAQ8plex[Y]'] = 'Y NORMAL 304.205360 304.205360 0 H(24)C(7)13C(7)N(3)15N(1)O(3)' mod_dict['iTRAQ8plex[ProteinN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PRO_N 304.205360 304.205360 0 H(24)C(7)13C(7)N(3)15N(1)O(3)' mod_dict['iTRAQ8plex_13C(6)15N(2)[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 304.199040 304.199040 0 H(24)C(8)13C(6)N(2)15N(2)O(3)' mod_dict['iTRAQ8plex_13C(6)15N(2)[K]'] = 'K NORMAL 304.199040 304.199040 0 H(24)C(8)13C(6)N(2)15N(2)O(3)' mod_dict['iTRAQ8plex_13C(6)15N(2)[Y]'] = 'Y NORMAL 304.199040 304.199040 0 H(24)C(8)13C(6)N(2)15N(2)O(3)' mod_dict['iodoTMT[C]'] = 'C NORMAL 324.216141 324.216141 0 H(28)C(16)N(4)O(3)' mod_dict['iodoTMT[D]'] = 'D NORMAL 324.216141 324.216141 0 H(28)C(16)N(4)O(3)' mod_dict['iodoTMT[E]'] = 'E NORMAL 324.216141 324.216141 0 H(28)C(16)N(4)O(3)' mod_dict['iodoTMT[H]'] = 'H NORMAL 324.216141 324.216141 0 H(28)C(16)N(4)O(3)' mod_dict['iodoTMT[K]'] = 'K NORMAL 324.216141 324.216141 0 H(28)C(16)N(4)O(3)' mod_dict['iodoTMT6plex[C]'] = 'C NORMAL 329.226595 329.226595 0 H(28)C(12)13C(4)N(3)15N(1)O(3)' mod_dict['iodoTMT6plex[D]'] = 'D NORMAL 329.226595 329.226595 0 H(28)C(12)13C(4)N(3)15N(1)O(3)' mod_dict['iodoTMT6plex[E]'] = 'E NORMAL 329.226595 329.226595 0 H(28)C(12)13C(4)N(3)15N(1)O(3)' mod_dict['iodoTMT6plex[H]'] = 'H NORMAL 329.226595 329.226595 0 H(28)C(12)13C(4)N(3)15N(1)O(3)' mod_dict['iodoTMT6plex[K]'] = 'K NORMAL 329.226595 329.226595 0 H(28)C(12)13C(4)N(3)15N(1)O(3)' mod_dict['lapachenole[C]'] = 'C NORMAL 240.115030 240.115030 0 H(16)C(16)O(2)' mod_dict['mTRAQ[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 140.094963 140.094963 0 H(12)C(7)N(2)O(1)' mod_dict['mTRAQ[H]'] = 'H NORMAL 140.094963 140.094963 0 H(12)C(7)N(2)O(1)' mod_dict['mTRAQ[K]'] = 'K NORMAL 140.094963 140.094963 0 H(12)C(7)N(2)O(1)' mod_dict['mTRAQ[S]'] = 'S NORMAL 140.094963 140.094963 0 H(12)C(7)N(2)O(1)' mod_dict['mTRAQ[T]'] = 'T NORMAL 140.094963 140.094963 0 H(12)C(7)N(2)O(1)' mod_dict['mTRAQ[Y]'] = 'Y NORMAL 140.094963 140.094963 0 H(12)C(7)N(2)O(1)' mod_dict['mTRAQ_13C(3)15N(1)[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 144.102063 144.102063 0 H(12)C(4)13C(3)N(1)15N(1)O(1)' mod_dict['mTRAQ_13C(3)15N(1)[H]'] = 'H NORMAL 144.102063 144.102063 0 H(12)C(4)13C(3)N(1)15N(1)O(1)' mod_dict['mTRAQ_13C(3)15N(1)[K]'] = 'K NORMAL 144.102063 144.102063 0 H(12)C(4)13C(3)N(1)15N(1)O(1)' mod_dict['mTRAQ_13C(3)15N(1)[S]'] = 'S NORMAL 144.102063 144.102063 0 H(12)C(4)13C(3)N(1)15N(1)O(1)' mod_dict['mTRAQ_13C(3)15N(1)[T]'] = 'T NORMAL 144.102063 144.102063 0 H(12)C(4)13C(3)N(1)15N(1)O(1)' mod_dict['mTRAQ_13C(3)15N(1)[Y]'] = 'Y NORMAL 144.102063 144.102063 0 H(12)C(4)13C(3)N(1)15N(1)O(1)' mod_dict['mTRAQ_13C(6)15N(2)[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 148.109162 148.109162 0 H(12)C(1)13C(6)15N(2)O(1)' mod_dict['mTRAQ_13C(6)15N(2)[H]'] = 'H NORMAL 148.109162 148.109162 0 H(12)C(1)13C(6)15N(2)O(1)' mod_dict['mTRAQ_13C(6)15N(2)[K]'] = 'K NORMAL 148.109162 148.109162 0 H(12)C(1)13C(6)15N(2)O(1)' mod_dict['mTRAQ_13C(6)15N(2)[S]'] = 'S NORMAL 148.109162 148.109162 0 H(12)C(1)13C(6)15N(2)O(1)' mod_dict['mTRAQ_13C(6)15N(2)[T]'] = 'T NORMAL 148.109162 148.109162 0 H(12)C(1)13C(6)15N(2)O(1)' mod_dict['mTRAQ_13C(6)15N(2)[Y]'] = 'Y NORMAL 148.109162 148.109162 0 H(12)C(1)13C(6)15N(2)O(1)' mod_dict['maleimide[C]'] = 'C NORMAL 97.016378 97.016378 0 H(3)C(4)N(1)O(2)' mod_dict['maleimide[K]'] = 'K NORMAL 97.016378 97.016378 0 H(3)C(4)N(1)O(2)' mod_dict['maleimide3[C]'] = 'C NORMAL 969.366232 969.366232 0 H(59)C(37)N(7)O(23)' mod_dict['maleimide3[K]'] = 'K NORMAL 969.366232 969.366232 0 H(59)C(37)N(7)O(23)' mod_dict['maleimide5[C]'] = 'C NORMAL 1293.471879 1293.471879 0 H(79)C(49)N(7)O(33)' mod_dict['maleimide5[K]'] = 'K NORMAL 1293.471879 1293.471879 0 H(79)C(49)N(7)O(33)' mod_dict['methylsulfonylethyl[C]'] = 'C NORMAL 106.008850 106.008850 0 H(6)C(3)O(2)S(1)' mod_dict['methylsulfonylethyl[H]'] = 'H NORMAL 106.008850 106.008850 0 H(6)C(3)O(2)S(1)' mod_dict['methylsulfonylethyl[K]'] = 'K NORMAL 106.008850 106.008850 0 H(6)C(3)O(2)S(1)' mod_dict['phenylsulfonylethyl[C]'] = 'C NORMAL 168.024500 168.024500 0 H(8)C(8)O(2)S(1)' mod_dict['phosphoRibosyl[D]'] = 'D NORMAL 282.023960 282.023960 0 H(9)C(5)N(5)O(7)P(1)' mod_dict['phosphoRibosyl[E]'] = 'E NORMAL 282.023960 282.023960 0 H(9)C(5)N(5)O(7)P(1)' mod_dict['phosphoRibosyl[R]'] = 'R NORMAL 282.023960 282.023960 0 H(9)C(5)N(5)O(7)P(1)' mod_dict['probiotinhydrazide[P]'] = 'P NORMAL 258.115047 258.115047 0 H(18)C(10)N(4)O(2)S(1)' mod_dict['pupylation[K]'] = 'K NORMAL 243.085521 243.085521 0 H(13)C(9)N(3)O(5)' mod_dict['pyrophospho[S]'] = 'S NORMAL 159.932662 159.932662 1 176.935402 176.935402 H(2)O(6)P(2)' mod_dict['pyrophospho[T]'] = 'T NORMAL 159.932662 159.932662 1 176.935402 176.935402 H(2)O(6)P(2)' mod_dict['sulfo+amino[Y]'] = 'Y NORMAL 94.967714 94.967714 0 H(1)N(1)O(3)S(1)' mod_dict['thioacylPA[K]'] = 'K NORMAL 159.035399 159.035399 0 H(9)C(6)N(1)O(2)S(1)' mod_dict['trifluoro[L]'] = 'L NORMAL 53.971735 53.971735 0 H(-3)F(3)' mod_dict['Glutaryl[K]'] = 'K NORMAL 114.031694 114.031694 0 H(6)C(5)O(3)' mod_dict['Hydroxyisobutyryl[K]'] = 'K NORMAL 86.036779 86.036779 0 H(6)C(4)O(2)' mod_dict['Malonyl[K]'] = 'K NORMAL 86.000394 86.000394 1 43.9898 43.9898 H(2)C(3)O(3)' mod_dict['Trimethyl[K]'] = 'K NORMAL 42.046950 42.046950 0 H(6)C(3)' mod_dict['Hydroxyproline[P]'] = 'P NORMAL 148.037173 148.037173 0 H(6)C(3)' mod_dict['Dimethyl[K]'] = 'K NORMAL 28.031300 28.031300 0 H(4)C(2)' return mod_dict
def get_modification(): mod_dict = dict() mod_dict['2-dimethylsuccinyl[C]'] = 'C NORMAL 144.042259 144.042259 0 H(8)C(6)O(4)' mod_dict['2-monomethylsuccinyl[C]'] = 'C NORMAL 130.026609 130.026609 0 H(6)C(5)O(4)' mod_dict['2-nitrobenzyl[Y]'] = 'Y NORMAL 135.032028 135.032028 0 H(5)C(7)N(1)O(2)' mod_dict['2-succinyl[C]'] = 'C NORMAL 116.010959 116.010959 0 H(4)C(4)O(4)' mod_dict['2HPG[R]'] = 'R NORMAL 282.052824 282.052824 0 H(10)C(16)O(5)' mod_dict['3-deoxyglucosone[R]'] = 'R NORMAL 144.042259 144.042259 0 H(8)C(6)O(4)' mod_dict['3-phosphoglyceryl[K]'] = 'K NORMAL 167.982375 167.982375 0 H(5)C(3)O(6)P(1)' mod_dict['3sulfo[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 183.983029 183.983029 0 H(4)C(7)O(4)S(1)' mod_dict['4-ONE+Delta_H(-2)O(-1)[C]'] = 'C NORMAL 136.088815 136.088815 0 H(12)C(9)O(1)' mod_dict['4-ONE+Delta_H(-2)O(-1)[H]'] = 'H NORMAL 136.088815 136.088815 0 H(12)C(9)O(1)' mod_dict['4-ONE+Delta_H(-2)O(-1)[K]'] = 'K NORMAL 136.088815 136.088815 0 H(12)C(9)O(1)' mod_dict['4-ONE[C]'] = 'C NORMAL 154.099380 154.099380 0 H(14)C(9)O(2)' mod_dict['4-ONE[H]'] = 'H NORMAL 154.099380 154.099380 0 H(14)C(9)O(2)' mod_dict['4-ONE[K]'] = 'K NORMAL 154.099380 154.099380 0 H(14)C(9)O(2)' mod_dict['4AcAllylGal[C]'] = 'C NORMAL 372.142033 372.142033 0 H(24)C(17)O(9)' mod_dict['ADP-Ribosyl[C]'] = 'C NORMAL 541.061110 541.061110 0 H(21)C(15)N(5)O(13)P(2)' mod_dict['ADP-Ribosyl[D]'] = 'D NORMAL 541.061110 541.061110 0 H(21)C(15)N(5)O(13)P(2)' mod_dict['ADP-Ribosyl[E]'] = 'E NORMAL 541.061110 541.061110 0 H(21)C(15)N(5)O(13)P(2)' mod_dict['ADP-Ribosyl[K]'] = 'K NORMAL 541.061110 541.061110 0 H(21)C(15)N(5)O(13)P(2)' mod_dict['ADP-Ribosyl[N]'] = 'N NORMAL 541.061110 541.061110 0 H(21)C(15)N(5)O(13)P(2)' mod_dict['ADP-Ribosyl[R]'] = 'R NORMAL 541.061110 541.061110 0 H(21)C(15)N(5)O(13)P(2)' mod_dict['ADP-Ribosyl[S]'] = 'S NORMAL 541.061110 541.061110 0 H(21)C(15)N(5)O(13)P(2)' mod_dict['AEBS[H]'] = 'H NORMAL 183.035399 183.035399 0 H(9)C(8)N(1)O(2)S(1)' mod_dict['AEBS[K]'] = 'K NORMAL 183.035399 183.035399 0 H(9)C(8)N(1)O(2)S(1)' mod_dict['AEBS[S]'] = 'S NORMAL 183.035399 183.035399 0 H(9)C(8)N(1)O(2)S(1)' mod_dict['AEBS[Y]'] = 'Y NORMAL 183.035399 183.035399 0 H(9)C(8)N(1)O(2)S(1)' mod_dict['AEBS[ProteinN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PRO_N 183.035399 183.035399 0 H(9)C(8)N(1)O(2)S(1)' mod_dict['AEC-MAEC[S]'] = 'S NORMAL 59.019355 59.019355 0 H(5)C(2)N(1)O(-1)S(1)' mod_dict['AEC-MAEC[T]'] = 'T NORMAL 59.019355 59.019355 0 H(5)C(2)N(1)O(-1)S(1)' mod_dict['AEC-MAEC_2H(4)[S]'] = 'S NORMAL 63.044462 63.044462 0 H(1)2H(4)C(2)N(1)O(-1)S(1)' mod_dict['AEC-MAEC_2H(4)[T]'] = 'T NORMAL 63.044462 63.044462 0 H(1)2H(4)C(2)N(1)O(-1)S(1)' mod_dict['AHA-Alkyne-KDDDD[M]'] = 'M NORMAL 695.280074 695.280074 0 H(37)C(26)N(11)O(14)S(-1)' mod_dict['AHA-Alkyne[M]'] = 'M NORMAL 107.077339 107.077339 0 H(5)C(4)N(5)O(1)S(-1)' mod_dict['AHA-SS[M]'] = 'M NORMAL 195.075625 195.075625 0 H(9)C(7)N(5)O(2)' mod_dict['AHA-SS_CAM[M]'] = 'M NORMAL 252.097088 252.097088 0 H(12)C(9)N(6)O(3)' mod_dict['AMTzHexNAc2[N]'] = 'N NORMAL 502.202341 502.202341 0 H(30)C(19)N(6)O(10)' mod_dict['AMTzHexNAc2[S]'] = 'S NORMAL 502.202341 502.202341 0 H(30)C(19)N(6)O(10)' mod_dict['AMTzHexNAc2[T]'] = 'T NORMAL 502.202341 502.202341 0 H(30)C(19)N(6)O(10)' mod_dict['AROD[C]'] = 'C NORMAL 820.336015 820.336015 0 H(52)C(35)N(10)O(9)S(2)' mod_dict['AccQTag[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 170.048013 170.048013 0 H(6)C(10)N(2)O(1)' mod_dict['AccQTag[K]'] = 'K NORMAL 170.048013 170.048013 0 H(6)C(10)N(2)O(1)' mod_dict['Acetyl[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 42.010565 42.010565 0 H(2)C(2)O(1)' mod_dict['Acetyl[C]'] = 'C NORMAL 42.010565 42.010565 0 H(2)C(2)O(1)' mod_dict['Acetyl[H]'] = 'H NORMAL 42.010565 42.010565 0 H(2)C(2)O(1)' mod_dict['Acetyl[K]'] = 'K NORMAL 42.010565 42.010565 0 H(2)C(2)O(1)' mod_dict['Acetyl[S]'] = 'S NORMAL 42.010565 42.010565 0 H(2)C(2)O(1)' mod_dict['Acetyl[T]'] = 'T NORMAL 42.010565 42.010565 0 H(2)C(2)O(1)' mod_dict['Acetyl[Y]'] = 'Y NORMAL 42.010565 42.010565 0 H(2)C(2)O(1)' mod_dict['Acetyl[ProteinN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PRO_N 42.010565 42.010565 0 H(2)C(2)O(1)' mod_dict['Acetyl_13C(2)[K]'] = 'K NORMAL 44.017274 44.017274 0 H(2)13C(2)O(1)' mod_dict['Acetyl_13C(2)[ProteinN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PRO_N 44.017274 44.017274 0 H(2)13C(2)O(1)' mod_dict['Acetyl_2H(3)[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 45.029395 45.029395 0 H(-1)2H(3)C(2)O(1)' mod_dict['Acetyl_2H(3)[H]'] = 'H NORMAL 45.029395 45.029395 0 H(-1)2H(3)C(2)O(1)' mod_dict['Acetyl_2H(3)[K]'] = 'K NORMAL 45.029395 45.029395 0 H(-1)2H(3)C(2)O(1)' mod_dict['Acetyl_2H(3)[S]'] = 'S NORMAL 45.029395 45.029395 0 H(-1)2H(3)C(2)O(1)' mod_dict['Acetyl_2H(3)[T]'] = 'T NORMAL 45.029395 45.029395 0 H(-1)2H(3)C(2)O(1)' mod_dict['Acetyl_2H(3)[Y]'] = 'Y NORMAL 45.029395 45.029395 0 H(-1)2H(3)C(2)O(1)' mod_dict['Acetyl_2H(3)[ProteinN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PRO_N 45.029395 45.029395 0 H(-1)2H(3)C(2)O(1)' mod_dict['Acetyldeoxyhypusine[K]'] = 'K NORMAL 97.089149 97.089149 0 H(11)C(6)N(1)' mod_dict['Acetylhypusine[K]'] = 'K NORMAL 113.084064 113.084064 0 H(11)C(6)N(1)O(1)' mod_dict['Ahx2+Hsl[AnyC-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_C 309.205242 309.205242 0 H(27)C(16)N(3)O(3)' mod_dict['Ala->Arg[A]'] = 'A NORMAL 85.063997 85.063997 0 H(7)C(3)N(3)' mod_dict['Ala->Asn[A]'] = 'A NORMAL 43.005814 43.005814 0 H(1)C(1)N(1)O(1)' mod_dict['Ala->Asp[A]'] = 'A NORMAL 43.989829 43.989829 0 C(1)O(2)' mod_dict['Ala->Cys[A]'] = 'A NORMAL 31.972071 31.972071 0 S(1)' mod_dict['Ala->Gln[A]'] = 'A NORMAL 57.021464 57.021464 0 H(3)C(2)N(1)O(1)' mod_dict['Ala->Glu[A]'] = 'A NORMAL 58.005479 58.005479 0 H(2)C(2)O(2)' mod_dict['Ala->Gly[A]'] = 'A NORMAL -14.015650 -14.015650 0 H(-2)C(-1)' mod_dict['Ala->His[A]'] = 'A NORMAL 66.021798 66.021798 0 H(2)C(3)N(2)' mod_dict['Ala->Lys[A]'] = 'A NORMAL 57.057849 57.057849 0 H(7)C(3)N(1)' mod_dict['Ala->Met[A]'] = 'A NORMAL 60.003371 60.003371 0 H(4)C(2)S(1)' mod_dict['Ala->Phe[A]'] = 'A NORMAL 76.031300 76.031300 0 H(4)C(6)' mod_dict['Ala->Pro[A]'] = 'A NORMAL 26.015650 26.015650 0 H(2)C(2)' mod_dict['Ala->Ser[A]'] = 'A NORMAL 15.994915 15.994915 0 O(1)' mod_dict['Ala->Thr[A]'] = 'A NORMAL 30.010565 30.010565 0 H(2)C(1)O(1)' mod_dict['Ala->Trp[A]'] = 'A NORMAL 115.042199 115.042199 0 H(5)C(8)N(1)' mod_dict['Ala->Tyr[A]'] = 'A NORMAL 92.026215 92.026215 0 H(4)C(6)O(1)' mod_dict['Ala->Val[A]'] = 'A NORMAL 28.031300 28.031300 0 H(4)C(2)' mod_dict['Ala->Xle[A]'] = 'A NORMAL 42.046950 42.046950 0 H(6)C(3)' mod_dict['Amidated[AnyC-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_C -0.984016 -0.984016 0 H(1)N(1)O(-1)' mod_dict['Amidated[ProteinC-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PRO_C -0.984016 -0.984016 0 H(1)N(1)O(-1)' mod_dict['Amidine[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 41.026549 41.026549 0 H(3)C(2)N(1)' mod_dict['Amidine[K]'] = 'K NORMAL 41.026549 41.026549 0 H(3)C(2)N(1)' mod_dict['Amidino[C]'] = 'C NORMAL 42.021798 42.021798 0 H(2)C(1)N(2)' mod_dict['Amino[Y]'] = 'Y NORMAL 15.010899 15.010899 0 H(1)N(1)' mod_dict['Ammonia-loss[AnyN-termC]'] = 'C PEP_N -17.026549 -17.026549 0 H(-3)N(-1)' mod_dict['Ammonia-loss[N]'] = 'N NORMAL -17.026549 -17.026549 0 H(-3)N(-1)' mod_dict['Ammonia-loss[ProteinN-termS]'] = 'S PRO_N -17.026549 -17.026549 0 H(-3)N(-1)' mod_dict['Ammonia-loss[ProteinN-termT]'] = 'T PRO_N -17.026549 -17.026549 0 H(-3)N(-1)' mod_dict['Ammonium[AnyC-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_C 17.026549 17.026549 0 H(3)N(1)' mod_dict['Ammonium[D]'] = 'D NORMAL 17.026549 17.026549 0 H(3)N(1)' mod_dict['Ammonium[E]'] = 'E NORMAL 17.026549 17.026549 0 H(3)N(1)' mod_dict['Archaeol[C]'] = 'C NORMAL 634.662782 634.662782 0 H(86)C(43)O(2)' mod_dict['Arg->Ala[R]'] = 'R NORMAL -85.063997 -85.063997 0 H(-7)C(-3)N(-3)' mod_dict['Arg->Asn[R]'] = 'R NORMAL -42.058184 -42.058184 0 H(-6)C(-2)N(-2)O(1)' mod_dict['Arg->Asp[R]'] = 'R NORMAL -41.074168 -41.074168 0 H(-7)C(-2)N(-3)O(2)' mod_dict['Arg->Cys[R]'] = 'R NORMAL -53.091927 -53.091927 0 H(-7)C(-3)N(-3)S(1)' mod_dict['Arg->Gln[R]'] = 'R NORMAL -28.042534 -28.042534 0 H(-4)C(-1)N(-2)O(1)' mod_dict['Arg->Glu[R]'] = 'R NORMAL -27.058518 -27.058518 0 H(-5)C(-1)N(-3)O(2)' mod_dict['Arg->GluSA[R]'] = 'R NORMAL -43.053433 -43.053433 0 H(-5)C(-1)N(-3)O(1)' mod_dict['Arg->Gly[R]'] = 'R NORMAL -99.079647 -99.079647 0 H(-9)C(-4)N(-3)' mod_dict['Arg->His[R]'] = 'R NORMAL -19.042199 -19.042199 0 H(-5)N(-1)' mod_dict['Arg->Lys[R]'] = 'R NORMAL -28.006148 -28.006148 0 N(-2)' mod_dict['Arg->Met[R]'] = 'R NORMAL -25.060626 -25.060626 0 H(-3)C(-1)N(-3)S(1)' mod_dict['Arg->Npo[R]'] = 'R NORMAL 80.985078 80.985078 0 H(-1)C(3)N(1)O(2)' mod_dict['Arg->Orn[R]'] = 'R NORMAL -42.021798 -42.021798 0 H(-2)C(-1)N(-2)' mod_dict['Arg->Phe[R]'] = 'R NORMAL -9.032697 -9.032697 0 H(-3)C(3)N(-3)' mod_dict['Arg->Pro[R]'] = 'R NORMAL -59.048347 -59.048347 0 H(-5)C(-1)N(-3)' mod_dict['Arg->Ser[R]'] = 'R NORMAL -69.069083 -69.069083 0 H(-7)C(-3)N(-3)O(1)' mod_dict['Arg->Thr[R]'] = 'R NORMAL -55.053433 -55.053433 0 H(-5)C(-2)N(-3)O(1)' mod_dict['Arg->Trp[R]'] = 'R NORMAL 29.978202 29.978202 0 H(-2)C(5)N(-2)' mod_dict['Arg->Tyr[R]'] = 'R NORMAL 6.962218 6.962218 0 H(-3)C(3)N(-3)O(1)' mod_dict['Arg->Val[R]'] = 'R NORMAL -57.032697 -57.032697 0 H(-3)C(-1)N(-3)' mod_dict['Arg->Xle[R]'] = 'R NORMAL -43.017047 -43.017047 0 H(-1)N(-3)' mod_dict['Arg-loss[AnyC-termR]'] = 'R PEP_C -156.101111 -156.101111 0 H(-12)C(-6)N(-4)O(-1)' mod_dict['Arg[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 156.101111 156.101111 0 H(12)C(6)N(4)O(1)' mod_dict['Arg2PG[R]'] = 'R NORMAL 266.057909 266.057909 0 H(10)C(16)O(4)' mod_dict['Argbiotinhydrazide[R]'] = 'R NORMAL 199.066699 199.066699 0 H(13)C(9)N(1)O(2)S(1)' mod_dict['Asn->Ala[N]'] = 'N NORMAL -43.005814 -43.005814 0 H(-1)C(-1)N(-1)O(-1)' mod_dict['Asn->Arg[N]'] = 'N NORMAL 42.058184 42.058184 0 H(6)C(2)N(2)O(-1)' mod_dict['Asn->Cys[N]'] = 'N NORMAL -11.033743 -11.033743 0 H(-1)C(-1)N(-1)O(-1)S(1)' mod_dict['Asn->Gly[N]'] = 'N NORMAL -57.021464 -57.021464 0 H(-3)C(-2)N(-1)O(-1)' mod_dict['Asn->His[N]'] = 'N NORMAL 23.015984 23.015984 0 H(1)C(2)N(1)O(-1)' mod_dict['Asn->Lys[N]'] = 'N NORMAL 14.052036 14.052036 0 H(6)C(2)O(-1)' mod_dict['Asn->Met[N]'] = 'N NORMAL 16.997557 16.997557 0 H(3)C(1)N(-1)O(-1)S(1)' mod_dict['Asn->Phe[N]'] = 'N NORMAL 33.025486 33.025486 0 H(3)C(5)N(-1)O(-1)' mod_dict['Asn->Pro[N]'] = 'N NORMAL -16.990164 -16.990164 0 H(1)C(1)N(-1)O(-1)' mod_dict['Asn->Ser[N]'] = 'N NORMAL -27.010899 -27.010899 0 H(-1)C(-1)N(-1)' mod_dict['Asn->Thr[N]'] = 'N NORMAL -12.995249 -12.995249 0 H(1)N(-1)' mod_dict['Asn->Trp[N]'] = 'N NORMAL 72.036386 72.036386 0 H(4)C(7)O(-1)' mod_dict['Asn->Tyr[N]'] = 'N NORMAL 49.020401 49.020401 0 H(3)C(5)N(-1)' mod_dict['Asn->Val[N]'] = 'N NORMAL -14.974514 -14.974514 0 H(3)C(1)N(-1)O(-1)' mod_dict['Asn->Xle[N]'] = 'N NORMAL -0.958863 -0.958863 0 H(5)C(2)N(-1)O(-1)' mod_dict['Asp->Ala[D]'] = 'D NORMAL -43.989829 -43.989829 0 C(-1)O(-2)' mod_dict['Asp->Arg[D]'] = 'D NORMAL 41.074168 41.074168 0 H(7)C(2)N(3)O(-2)' mod_dict['Asp->Asn[D]'] = 'D NORMAL -0.984016 -0.984016 0 H(1)N(1)O(-1)' mod_dict['Asp->Cys[D]'] = 'D NORMAL -12.017759 -12.017759 0 C(-1)O(-2)S(1)' mod_dict['Asp->Gln[D]'] = 'D NORMAL 13.031634 13.031634 0 H(3)C(1)N(1)O(-1)' mod_dict['Asp->Gly[D]'] = 'D NORMAL -58.005479 -58.005479 0 H(-2)C(-2)O(-2)' mod_dict['Asp->His[D]'] = 'D NORMAL 22.031969 22.031969 0 H(2)C(2)N(2)O(-2)' mod_dict['Asp->Lys[D]'] = 'D NORMAL 13.068020 13.068020 0 H(7)C(2)N(1)O(-2)' mod_dict['Asp->Met[D]'] = 'D NORMAL 16.013542 16.013542 0 H(4)C(1)O(-2)S(1)' mod_dict['Asp->Phe[D]'] = 'D NORMAL 32.041471 32.041471 0 H(4)C(5)O(-2)' mod_dict['Asp->Pro[D]'] = 'D NORMAL -17.974179 -17.974179 0 H(2)C(1)O(-2)' mod_dict['Asp->Ser[D]'] = 'D NORMAL -27.994915 -27.994915 0 C(-1)O(-1)' mod_dict['Asp->Thr[D]'] = 'D NORMAL -13.979265 -13.979265 0 H(2)O(-1)' mod_dict['Asp->Trp[D]'] = 'D NORMAL 71.052370 71.052370 0 H(5)C(7)N(1)O(-2)' mod_dict['Asp->Tyr[D]'] = 'D NORMAL 48.036386 48.036386 0 H(4)C(5)O(-1)' mod_dict['Asp->Val[D]'] = 'D NORMAL -15.958529 -15.958529 0 H(4)C(1)O(-2)' mod_dict['Asp->Xle[D]'] = 'D NORMAL -1.942879 -1.942879 0 H(6)C(2)O(-2)' mod_dict['Atto495Maleimide[C]'] = 'C NORMAL 474.250515 474.250515 0 H(32)C(27)N(5)O(3)' mod_dict['BADGE[C]'] = 'C NORMAL 340.167459 340.167459 0 H(24)C(21)O(4)' mod_dict['BDMAPP[H]'] = 'H NORMAL 253.010225 253.010225 0 H(12)C(11)N(1)O(1)Br(1)' mod_dict['BDMAPP[K]'] = 'K NORMAL 253.010225 253.010225 0 H(12)C(11)N(1)O(1)Br(1)' mod_dict['BDMAPP[W]'] = 'W NORMAL 253.010225 253.010225 0 H(12)C(11)N(1)O(1)Br(1)' mod_dict['BDMAPP[Y]'] = 'Y NORMAL 253.010225 253.010225 0 H(12)C(11)N(1)O(1)Br(1)' mod_dict['BDMAPP[ProteinN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PRO_N 253.010225 253.010225 0 H(12)C(11)N(1)O(1)Br(1)' mod_dict['BHT[C]'] = 'C NORMAL 218.167065 218.167065 0 H(22)C(15)O(1)' mod_dict['BHT[H]'] = 'H NORMAL 218.167065 218.167065 0 H(22)C(15)O(1)' mod_dict['BHT[K]'] = 'K NORMAL 218.167065 218.167065 0 H(22)C(15)O(1)' mod_dict['BHTOH[C]'] = 'C NORMAL 234.161980 234.161980 0 H(22)C(15)O(2)' mod_dict['BHTOH[H]'] = 'H NORMAL 234.161980 234.161980 0 H(22)C(15)O(2)' mod_dict['BHTOH[K]'] = 'K NORMAL 234.161980 234.161980 0 H(22)C(15)O(2)' mod_dict['BITC[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 149.029920 149.029920 0 H(7)C(8)N(1)S(1)' mod_dict['BITC[C]'] = 'C NORMAL 149.029920 149.029920 0 H(7)C(8)N(1)S(1)' mod_dict['BITC[K]'] = 'K NORMAL 149.029920 149.029920 0 H(7)C(8)N(1)S(1)' mod_dict['BMOE[C]'] = 'C NORMAL 220.048407 220.048407 0 H(8)C(10)N(2)O(4)' mod_dict['BMP-piperidinol[C]'] = 'C NORMAL 263.131014 263.131014 0 H(17)C(18)N(1)O(1)' mod_dict['BMP-piperidinol[M]'] = 'M NORMAL 263.131014 263.131014 0 H(17)C(18)N(1)O(1)' mod_dict['Bacillosamine[N]'] = 'N NORMAL 228.111007 228.111007 0 H(16)C(10)N(2)O(4)' mod_dict['Benzoyl[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 104.026215 104.026215 0 H(4)C(7)O(1)' mod_dict['Benzoyl[K]'] = 'K NORMAL 104.026215 104.026215 0 H(4)C(7)O(1)' mod_dict['Biotin-HPDP[C]'] = 'C NORMAL 428.191582 428.191582 0 H(32)C(19)N(4)O(3)S(2)' mod_dict['Biotin-PEG-PRA[M]'] = 'M NORMAL 578.317646 578.317646 0 H(42)C(26)N(8)O(7)' mod_dict['Biotin-PEO-Amine[D]'] = 'D NORMAL 356.188212 356.188212 0 H(28)C(16)N(4)O(3)S(1)' mod_dict['Biotin-PEO-Amine[E]'] = 'E NORMAL 356.188212 356.188212 0 H(28)C(16)N(4)O(3)S(1)' mod_dict['Biotin-PEO-Amine[ProteinC-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PRO_C 356.188212 356.188212 0 H(28)C(16)N(4)O(3)S(1)' mod_dict['Biotin-phenacyl[C]'] = 'C NORMAL 626.263502 626.263502 0 H(38)C(29)N(8)O(6)S(1)' mod_dict['Biotin-phenacyl[H]'] = 'H NORMAL 626.263502 626.263502 0 H(38)C(29)N(8)O(6)S(1)' mod_dict['Biotin-phenacyl[S]'] = 'S NORMAL 626.263502 626.263502 0 H(38)C(29)N(8)O(6)S(1)' mod_dict['Biotin[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 226.077598 226.077598 0 H(14)C(10)N(2)O(2)S(1)' mod_dict['Biotin[K]'] = 'K NORMAL 226.077598 226.077598 0 H(14)C(10)N(2)O(2)S(1)' mod_dict['Biotin_Cayman-10013[C]'] = 'C NORMAL 660.428442 660.428442 0 H(60)C(36)N(4)O(5)S(1)' mod_dict['Biotin_Cayman-10141[C]'] = 'C NORMAL 626.386577 626.386577 0 H(54)C(35)N(4)O(4)S(1)' mod_dict['Biotin_Invitrogen-M1602[C]'] = 'C NORMAL 523.210069 523.210069 0 H(33)C(23)N(5)O(7)S(1)' mod_dict['Biotin_Sigma-B1267[C]'] = 'C NORMAL 449.173290 449.173290 0 H(27)C(20)N(5)O(5)S(1)' mod_dict['Biotin_Thermo-21325[K]'] = 'K NORMAL 695.310118 695.310118 0 H(45)C(34)N(7)O(7)S(1)' mod_dict['Biotin_Thermo-21345[Q]'] = 'Q NORMAL 311.166748 311.166748 0 H(25)C(15)N(3)O(2)S(1)' mod_dict['Biotin_Thermo-21360[AnyC-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_C 487.246455 487.246455 0 H(37)C(21)N(5)O(6)S(1)' mod_dict['Biotin_Thermo-21901+2H2O[C]'] = 'C NORMAL 561.246849 561.246849 0 H(39)C(23)N(5)O(9)S(1)' mod_dict['Biotin_Thermo-21901+H2O[C]'] = 'C NORMAL 543.236284 543.236284 0 H(37)C(23)N(5)O(8)S(1)' mod_dict['Biotin_Thermo-21911[C]'] = 'C NORMAL 921.461652 921.461652 0 H(71)C(41)N(5)O(16)S(1)' mod_dict['Biotin_Thermo-33033-H[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 546.208295 546.208295 0 H(34)C(25)N(6)O(4)S(2)' mod_dict['Biotin_Thermo-33033[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 548.223945 548.223945 0 H(36)C(25)N(6)O(4)S(2)' mod_dict['Biotin_Thermo-88310[K]'] = 'K NORMAL 196.121178 196.121178 0 H(16)C(10)N(2)O(2)' mod_dict['Biotin_Thermo-88317[S]'] = 'S NORMAL 443.291294 443.291294 0 H(42)C(22)N(3)O(4)P(1)' mod_dict['Biotin_Thermo-88317[Y]'] = 'Y NORMAL 443.291294 443.291294 0 H(42)C(22)N(3)O(4)P(1)' mod_dict['BisANS[K]'] = 'K NORMAL 594.091928 594.091928 0 H(22)C(32)N(2)O(6)S(2)' mod_dict['Bodipy[C]'] = 'C NORMAL 414.167478 414.167478 0 H(21)B(1)C(20)N(4)O(3)F(2)' mod_dict['Bromo[F]'] = 'F NORMAL 77.910511 77.910511 0 H(-1)Br(1)' mod_dict['Bromo[H]'] = 'H NORMAL 77.910511 77.910511 0 H(-1)Br(1)' mod_dict['Bromo[W]'] = 'W NORMAL 77.910511 77.910511 0 H(-1)Br(1)' mod_dict['Bromo[Y]'] = 'Y NORMAL 77.910511 77.910511 0 H(-1)Br(1)' mod_dict['Bromobimane[C]'] = 'C NORMAL 190.074228 190.074228 0 H(10)C(10)N(2)O(2)' mod_dict['Butyryl[K]'] = 'K NORMAL 70.041865 70.041865 0 H(6)C(4)O(1)' mod_dict['C+12[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 12.000000 12.000000 0 C(1)' mod_dict['C8-QAT[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 227.224915 227.224915 0 H(29)C(14)N(1)O(1)' mod_dict['C8-QAT[K]'] = 'K NORMAL 227.224915 227.224915 0 H(29)C(14)N(1)O(1)' mod_dict['CAF[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 135.983029 135.983029 0 H(4)C(3)O(4)S(1)' mod_dict['CAMthiopropanoyl[K]'] = 'K NORMAL 145.019749 145.019749 0 H(7)C(5)N(1)O(2)S(1)' mod_dict['CAMthiopropanoyl[ProteinN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PRO_N 145.019749 145.019749 0 H(7)C(5)N(1)O(2)S(1)' mod_dict['CHDH[D]'] = 'D NORMAL 294.183109 294.183109 0 H(26)C(17)O(4)' mod_dict['CLIP_TRAQ_2[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 141.098318 141.098318 0 H(12)C(6)13C(1)N(2)O(1)' mod_dict['CLIP_TRAQ_2[K]'] = 'K NORMAL 141.098318 141.098318 0 H(12)C(6)13C(1)N(2)O(1)' mod_dict['CLIP_TRAQ_2[Y]'] = 'Y NORMAL 141.098318 141.098318 0 H(12)C(6)13C(1)N(2)O(1)' mod_dict['CLIP_TRAQ_3[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 271.148736 271.148736 0 H(20)C(11)13C(1)N(3)O(4)' mod_dict['CLIP_TRAQ_3[K]'] = 'K NORMAL 271.148736 271.148736 0 H(20)C(11)13C(1)N(3)O(4)' mod_dict['CLIP_TRAQ_3[Y]'] = 'Y NORMAL 271.148736 271.148736 0 H(20)C(11)13C(1)N(3)O(4)' mod_dict['CLIP_TRAQ_4[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 244.101452 244.101452 0 H(15)C(9)13C(1)N(2)O(5)' mod_dict['CLIP_TRAQ_4[K]'] = 'K NORMAL 244.101452 244.101452 0 H(15)C(9)13C(1)N(2)O(5)' mod_dict['CLIP_TRAQ_4[Y]'] = 'Y NORMAL 244.101452 244.101452 0 H(15)C(9)13C(1)N(2)O(5)' mod_dict['Can-FP-biotin[S]'] = 'S NORMAL 447.195679 447.195679 0 H(34)C(19)N(3)O(5)P(1)S(1)' mod_dict['Can-FP-biotin[T]'] = 'T NORMAL 447.195679 447.195679 0 H(34)C(19)N(3)O(5)P(1)S(1)' mod_dict['Can-FP-biotin[Y]'] = 'Y NORMAL 447.195679 447.195679 0 H(34)C(19)N(3)O(5)P(1)S(1)' mod_dict['Carbamidomethyl[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 57.021464 57.021464 0 H(3)C(2)N(1)O(1)' mod_dict['Carbamidomethyl[C]'] = 'C NORMAL 57.021464 57.021464 0 H(3)C(2)N(1)O(1)' mod_dict['Carbamidomethyl[D]'] = 'D NORMAL 57.021464 57.021464 0 H(3)C(2)N(1)O(1)' mod_dict['Carbamidomethyl[E]'] = 'E NORMAL 57.021464 57.021464 0 H(3)C(2)N(1)O(1)' mod_dict['Carbamidomethyl[H]'] = 'H NORMAL 57.021464 57.021464 0 H(3)C(2)N(1)O(1)' mod_dict['Carbamidomethyl[K]'] = 'K NORMAL 57.021464 57.021464 0 H(3)C(2)N(1)O(1)' mod_dict['Carbamidomethyl[S]'] = 'S NORMAL 57.021464 57.021464 0 H(3)C(2)N(1)O(1)' mod_dict['Carbamidomethyl[T]'] = 'T NORMAL 57.021464 57.021464 0 H(3)C(2)N(1)O(1)' mod_dict['Carbamidomethyl[Y]'] = 'Y NORMAL 57.021464 57.021464 0 H(3)C(2)N(1)O(1)' mod_dict['CarbamidomethylDTT[C]'] = 'C NORMAL 209.018035 209.018035 0 H(11)C(6)N(1)O(3)S(2)' mod_dict['Carbamyl[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 43.005814 43.005814 0 H(1)C(1)N(1)O(1)' mod_dict['Carbamyl[C]'] = 'C NORMAL 43.005814 43.005814 0 H(1)C(1)N(1)O(1)' mod_dict['Carbamyl[K]'] = 'K NORMAL 43.005814 43.005814 0 H(1)C(1)N(1)O(1)' mod_dict['Carbamyl[M]'] = 'M NORMAL 43.005814 43.005814 0 H(1)C(1)N(1)O(1)' mod_dict['Carbamyl[R]'] = 'R NORMAL 43.005814 43.005814 0 H(1)C(1)N(1)O(1)' mod_dict['Carbamyl[S]'] = 'S NORMAL 43.005814 43.005814 0 H(1)C(1)N(1)O(1)' mod_dict['Carbamyl[T]'] = 'T NORMAL 43.005814 43.005814 0 H(1)C(1)N(1)O(1)' mod_dict['Carbamyl[Y]'] = 'Y NORMAL 43.005814 43.005814 0 H(1)C(1)N(1)O(1)' mod_dict['Carbamyl[ProteinN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PRO_N 43.005814 43.005814 0 H(1)C(1)N(1)O(1)' mod_dict['Carbofuran[S]'] = 'S NORMAL 58.029289 58.029289 0 H(4)C(2)N(1)O(1)' mod_dict['Carboxy->Thiocarboxy[ProteinC-termG]'] = 'G PRO_C 15.977156 15.977156 0 O(-1)S(1)' mod_dict['Carboxy[D]'] = 'D NORMAL 43.989829 43.989829 0 C(1)O(2)' mod_dict['Carboxy[E]'] = 'E NORMAL 43.989829 43.989829 0 C(1)O(2)' mod_dict['Carboxy[K]'] = 'K NORMAL 43.989829 43.989829 0 C(1)O(2)' mod_dict['Carboxy[W]'] = 'W NORMAL 43.989829 43.989829 0 C(1)O(2)' mod_dict['Carboxy[ProteinN-termM]'] = 'M PRO_N 43.989829 43.989829 0 C(1)O(2)' mod_dict['Carboxyethyl[H]'] = 'H NORMAL 72.021129 72.021129 0 H(4)C(3)O(2)' mod_dict['Carboxyethyl[K]'] = 'K NORMAL 72.021129 72.021129 0 H(4)C(3)O(2)' mod_dict['Carboxymethyl[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 58.005479 58.005479 0 H(2)C(2)O(2)' mod_dict['Carboxymethyl[C]'] = 'C NORMAL 58.005479 58.005479 0 H(2)C(2)O(2)' mod_dict['Carboxymethyl[K]'] = 'K NORMAL 58.005479 58.005479 0 H(2)C(2)O(2)' mod_dict['Carboxymethyl[W]'] = 'W NORMAL 58.005479 58.005479 0 H(2)C(2)O(2)' mod_dict['CarboxymethylDMAP[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 162.079313 162.079313 0 H(10)C(9)N(2)O(1)' mod_dict['CarboxymethylDTT[C]'] = 'C NORMAL 210.002050 210.002050 0 H(10)C(6)O(4)S(2)' mod_dict['Carboxymethyl_13C(2)[C]'] = 'C NORMAL 60.012189 60.012189 0 H(2)13C(2)O(2)' mod_dict['Cation_Ag[AnyC-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_C 105.897267 105.897267 0 H(-1)Ag(1)' mod_dict['Cation_Ag[D]'] = 'D NORMAL 105.897267 105.897267 0 H(-1)Ag(1)' mod_dict['Cation_Ag[E]'] = 'E NORMAL 105.897267 105.897267 0 H(-1)Ag(1)' mod_dict['Cation_Ca[II][AnyC-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_C 37.946941 37.946941 0 H(-2)Ca(1)' mod_dict['Cation_Ca[II][D]'] = 'D NORMAL 37.946941 37.946941 0 H(-2)Ca(1)' mod_dict['Cation_Ca[II][E]'] = 'E NORMAL 37.946941 37.946941 0 H(-2)Ca(1)' mod_dict['Cation_Cu[I][AnyC-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_C 61.921774 61.921774 0 H(-1)Cu(1)' mod_dict['Cation_Cu[I][D]'] = 'D NORMAL 61.921774 61.921774 0 H(-1)Cu(1)' mod_dict['Cation_Cu[I][E]'] = 'E NORMAL 61.921774 61.921774 0 H(-1)Cu(1)' mod_dict['Cation_Fe[II][AnyC-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_C 53.919289 53.919289 0 H(-2)Fe(1)' mod_dict['Cation_Fe[II][D]'] = 'D NORMAL 53.919289 53.919289 0 H(-2)Fe(1)' mod_dict['Cation_Fe[II][E]'] = 'E NORMAL 53.919289 53.919289 0 H(-2)Fe(1)' mod_dict['Cation_K[AnyC-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_C 37.955882 37.955882 0 H(-1)K(1)' mod_dict['Cation_K[D]'] = 'D NORMAL 37.955882 37.955882 0 H(-1)K(1)' mod_dict['Cation_K[E]'] = 'E NORMAL 37.955882 37.955882 0 H(-1)K(1)' mod_dict['Cation_Li[AnyC-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_C 6.008178 6.008178 0 H(-1)Li(1)' mod_dict['Cation_Li[D]'] = 'D NORMAL 6.008178 6.008178 0 H(-1)Li(1)' mod_dict['Cation_Li[E]'] = 'E NORMAL 6.008178 6.008178 0 H(-1)Li(1)' mod_dict['Cation_Mg[II][AnyC-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_C 21.969392 21.969392 0 H(-2)Mg(1)' mod_dict['Cation_Mg[II][D]'] = 'D NORMAL 21.969392 21.969392 0 H(-2)Mg(1)' mod_dict['Cation_Mg[II][E]'] = 'E NORMAL 21.969392 21.969392 0 H(-2)Mg(1)' mod_dict['Cation_Na[AnyC-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_C 21.981943 21.981943 0 H(-1)Na(1)' mod_dict['Cation_Na[D]'] = 'D NORMAL 21.981943 21.981943 0 H(-1)Na(1)' mod_dict['Cation_Na[E]'] = 'E NORMAL 21.981943 21.981943 0 H(-1)Na(1)' mod_dict['Cation_Ni[II][AnyC-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_C 55.919696 55.919696 0 H(-2)Ni(1)' mod_dict['Cation_Ni[II][D]'] = 'D NORMAL 55.919696 55.919696 0 H(-2)Ni(1)' mod_dict['Cation_Ni[II][E]'] = 'E NORMAL 55.919696 55.919696 0 H(-2)Ni(1)' mod_dict['Cation_Zn[II][AnyC-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_C 61.913495 61.913495 0 H(-2)Zn(1)' mod_dict['Cation_Zn[II][D]'] = 'D NORMAL 61.913495 61.913495 0 H(-2)Zn(1)' mod_dict['Cation_Zn[II][E]'] = 'E NORMAL 61.913495 61.913495 0 H(-2)Zn(1)' mod_dict['Chlorination[Y]'] = 'Y NORMAL 34.968853 34.968853 0 Cl(1)' mod_dict['Chlorpyrifos[S]'] = 'S NORMAL 153.013912 153.013912 0 H(10)C(4)O(2)P(1)S(1)' mod_dict['Chlorpyrifos[T]'] = 'T NORMAL 153.013912 153.013912 0 H(10)C(4)O(2)P(1)S(1)' mod_dict['Chlorpyrifos[Y]'] = 'Y NORMAL 153.013912 153.013912 0 H(10)C(4)O(2)P(1)S(1)' mod_dict['Cholesterol[ProteinC-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PRO_C 368.344302 368.344302 0 H(44)C(27)' mod_dict['CoenzymeA[C]'] = 'C NORMAL 765.099560 765.099560 0 H(34)C(21)N(7)O(16)P(3)S(1)' mod_dict['CresylSaligeninPhosphate[H]'] = 'H NORMAL 276.055146 276.055146 0 H(13)C(14)O(4)P(1)' mod_dict['CresylSaligeninPhosphate[K]'] = 'K NORMAL 276.055146 276.055146 0 H(13)C(14)O(4)P(1)' mod_dict['CresylSaligeninPhosphate[R]'] = 'R NORMAL 276.055146 276.055146 0 H(13)C(14)O(4)P(1)' mod_dict['CresylSaligeninPhosphate[S]'] = 'S NORMAL 276.055146 276.055146 0 H(13)C(14)O(4)P(1)' mod_dict['CresylSaligeninPhosphate[T]'] = 'T NORMAL 276.055146 276.055146 0 H(13)C(14)O(4)P(1)' mod_dict['CresylSaligeninPhosphate[Y]'] = 'Y NORMAL 276.055146 276.055146 0 H(13)C(14)O(4)P(1)' mod_dict['Cresylphosphate[H]'] = 'H NORMAL 170.013281 170.013281 0 H(7)C(7)O(3)P(1)' mod_dict['Cresylphosphate[K]'] = 'K NORMAL 170.013281 170.013281 0 H(7)C(7)O(3)P(1)' mod_dict['Cresylphosphate[R]'] = 'R NORMAL 170.013281 170.013281 0 H(7)C(7)O(3)P(1)' mod_dict['Cresylphosphate[S]'] = 'S NORMAL 170.013281 170.013281 0 H(7)C(7)O(3)P(1)' mod_dict['Cresylphosphate[T]'] = 'T NORMAL 170.013281 170.013281 0 H(7)C(7)O(3)P(1)' mod_dict['Cresylphosphate[Y]'] = 'Y NORMAL 170.013281 170.013281 0 H(7)C(7)O(3)P(1)' mod_dict['Crotonaldehyde[C]'] = 'C NORMAL 70.041865 70.041865 0 H(6)C(4)O(1)' mod_dict['Crotonaldehyde[H]'] = 'H NORMAL 70.041865 70.041865 0 H(6)C(4)O(1)' mod_dict['Crotonyl[K]'] = 'K NORMAL 68.026215 68.026215 0 H(4)C(4)O(1)' mod_dict['CuSMo[C]'] = 'C NORMAL 922.834855 922.834855 0 H(24)C(19)N(8)O(15)P(2)S(3)Cu(1)Mo(1)' mod_dict['Cy3-maleimide[C]'] = 'C NORMAL 753.262796 753.262796 0 H(45)C(37)N(4)O(9)S(2)' mod_dict['Cy3b-maleimide[C]'] = 'C NORMAL 682.246120 682.246120 0 H(38)C(37)N(4)O(7)S(1)' mod_dict['CyDye-Cy3[C]'] = 'C NORMAL 672.298156 672.298156 0 H(44)C(37)N(4)O(6)S(1)' mod_dict['CyDye-Cy5[C]'] = 'C NORMAL 684.298156 684.298156 0 H(44)C(38)N(4)O(6)S(1)' mod_dict['Cyano[C]'] = 'C NORMAL 24.995249 24.995249 0 H(-1)C(1)N(1)' mod_dict['Cys->Ala[C]'] = 'C NORMAL -31.972071 -31.972071 0 S(-1)' mod_dict['Cys->Arg[C]'] = 'C NORMAL 53.091927 53.091927 0 H(7)C(3)N(3)S(-1)' mod_dict['Cys->Asn[C]'] = 'C NORMAL 11.033743 11.033743 0 H(1)C(1)N(1)O(1)S(-1)' mod_dict['Cys->Asp[C]'] = 'C NORMAL 12.017759 12.017759 0 C(1)O(2)S(-1)' mod_dict['Cys->Dha[C]'] = 'C NORMAL -33.987721 -33.987721 0 H(-2)S(-1)' mod_dict['Cys->Gln[C]'] = 'C NORMAL 25.049393 25.049393 0 H(3)C(2)N(1)O(1)S(-1)' mod_dict['Cys->Glu[C]'] = 'C NORMAL 26.033409 26.033409 0 H(2)C(2)O(2)S(-1)' mod_dict['Cys->Gly[C]'] = 'C NORMAL -45.987721 -45.987721 0 H(-2)C(-1)S(-1)' mod_dict['Cys->His[C]'] = 'C NORMAL 34.049727 34.049727 0 H(2)C(3)N(2)S(-1)' mod_dict['Cys->Lys[C]'] = 'C NORMAL 25.085779 25.085779 0 H(7)C(3)N(1)S(-1)' mod_dict['Cys->Met[C]'] = 'C NORMAL 28.031300 28.031300 0 H(4)C(2)' mod_dict['Cys->Oxoalanine[C]'] = 'C NORMAL -17.992806 -17.992806 0 H(-2)O(1)S(-1)' mod_dict['Cys->Phe[C]'] = 'C NORMAL 44.059229 44.059229 0 H(4)C(6)S(-1)' mod_dict['Cys->Pro[C]'] = 'C NORMAL -5.956421 -5.956421 0 H(2)C(2)S(-1)' mod_dict['Cys->PyruvicAcid[ProteinN-termC]'] = 'C PRO_N -33.003705 -33.003705 0 H(-3)N(-1)O(1)S(-1)' mod_dict['Cys->Ser[C]'] = 'C NORMAL -15.977156 -15.977156 0 O(1)S(-1)' mod_dict['Cys->Thr[C]'] = 'C NORMAL -1.961506 -1.961506 0 H(2)C(1)O(1)S(-1)' mod_dict['Cys->Trp[C]'] = 'C NORMAL 83.070128 83.070128 0 H(5)C(8)N(1)S(-1)' mod_dict['Cys->Tyr[C]'] = 'C NORMAL 60.054144 60.054144 0 H(4)C(6)O(1)S(-1)' mod_dict['Cys->Val[C]'] = 'C NORMAL -3.940771 -3.940771 0 H(4)C(2)S(-1)' mod_dict['Cys->Xle[C]'] = 'C NORMAL 10.074880 10.074880 0 H(6)C(3)S(-1)' mod_dict['Cys->ethylaminoAla[C]'] = 'C NORMAL 11.070128 11.070128 0 H(5)C(2)N(1)S(-1)' mod_dict['Cys->methylaminoAla[C]'] = 'C NORMAL -2.945522 -2.945522 0 H(3)C(1)N(1)S(-1)' mod_dict['Cysteinyl[C]'] = 'C NORMAL 119.004099 119.004099 0 H(5)C(3)N(1)O(2)S(1)' mod_dict['Cytopiloyne+water[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 380.147118 380.147118 0 H(24)C(19)O(8)' mod_dict['Cytopiloyne+water[C]'] = 'C NORMAL 380.147118 380.147118 0 H(24)C(19)O(8)' mod_dict['Cytopiloyne+water[K]'] = 'K NORMAL 380.147118 380.147118 0 H(24)C(19)O(8)' mod_dict['Cytopiloyne+water[R]'] = 'R NORMAL 380.147118 380.147118 0 H(24)C(19)O(8)' mod_dict['Cytopiloyne+water[S]'] = 'S NORMAL 380.147118 380.147118 0 H(24)C(19)O(8)' mod_dict['Cytopiloyne+water[T]'] = 'T NORMAL 380.147118 380.147118 0 H(24)C(19)O(8)' mod_dict['Cytopiloyne+water[Y]'] = 'Y NORMAL 380.147118 380.147118 0 H(24)C(19)O(8)' mod_dict['Cytopiloyne[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 362.136553 362.136553 0 H(22)C(19)O(7)' mod_dict['Cytopiloyne[C]'] = 'C NORMAL 362.136553 362.136553 0 H(22)C(19)O(7)' mod_dict['Cytopiloyne[K]'] = 'K NORMAL 362.136553 362.136553 0 H(22)C(19)O(7)' mod_dict['Cytopiloyne[P]'] = 'P NORMAL 362.136553 362.136553 0 H(22)C(19)O(7)' mod_dict['Cytopiloyne[R]'] = 'R NORMAL 362.136553 362.136553 0 H(22)C(19)O(7)' mod_dict['Cytopiloyne[S]'] = 'S NORMAL 362.136553 362.136553 0 H(22)C(19)O(7)' mod_dict['Cytopiloyne[Y]'] = 'Y NORMAL 362.136553 362.136553 0 H(22)C(19)O(7)' mod_dict['DAET[S]'] = 'S NORMAL 87.050655 87.050655 0 H(9)C(4)N(1)O(-1)S(1)' mod_dict['DAET[T]'] = 'T NORMAL 87.050655 87.050655 0 H(9)C(4)N(1)O(-1)S(1)' mod_dict['DEDGFLYMVYASQETFG[K]'] = 'K NORMAL 1970.824411 1970.824411 1 18.010565 18.010565 H(122)C(89)N(18)O(31)S(1)' mod_dict['DFDNB[K]'] = 'K NORMAL 203.998263 203.998263 0 H(2)C(6)N(2)O(4)F(2)' mod_dict['DFDNB[N]'] = 'N NORMAL 203.998263 203.998263 0 H(2)C(6)N(2)O(4)F(2)' mod_dict['DFDNB[Q]'] = 'Q NORMAL 203.998263 203.998263 0 H(2)C(6)N(2)O(4)F(2)' mod_dict['DFDNB[R]'] = 'R NORMAL 203.998263 203.998263 0 H(2)C(6)N(2)O(4)F(2)' mod_dict['DHP[C]'] = 'C NORMAL 118.065674 118.065674 0 H(8)C(8)N(1)' mod_dict['DMPO[C]'] = 'C NORMAL 111.068414 111.068414 0 H(9)C(6)N(1)O(1)' mod_dict['DMPO[H]'] = 'H NORMAL 111.068414 111.068414 0 H(9)C(6)N(1)O(1)' mod_dict['DMPO[Y]'] = 'Y NORMAL 111.068414 111.068414 0 H(9)C(6)N(1)O(1)' mod_dict['DNCB_hapten[C]'] = 'C NORMAL 166.001457 166.001457 0 H(2)C(6)N(2)O(4)' mod_dict['DNCB_hapten[H]'] = 'H NORMAL 166.001457 166.001457 0 H(2)C(6)N(2)O(4)' mod_dict['DNCB_hapten[K]'] = 'K NORMAL 166.001457 166.001457 0 H(2)C(6)N(2)O(4)' mod_dict['DNCB_hapten[Y]'] = 'Y NORMAL 166.001457 166.001457 0 H(2)C(6)N(2)O(4)' mod_dict['DNPS[C]'] = 'C NORMAL 198.981352 198.981352 0 H(3)C(6)N(2)O(4)S(1)' mod_dict['DNPS[W]'] = 'W NORMAL 198.981352 198.981352 0 H(3)C(6)N(2)O(4)S(1)' mod_dict['DTBP[K]'] = 'K NORMAL 87.014270 87.014270 0 H(5)C(3)N(1)S(1)' mod_dict['DTBP[N]'] = 'N NORMAL 87.014270 87.014270 0 H(5)C(3)N(1)S(1)' mod_dict['DTBP[Q]'] = 'Q NORMAL 87.014270 87.014270 0 H(5)C(3)N(1)S(1)' mod_dict['DTBP[R]'] = 'R NORMAL 87.014270 87.014270 0 H(5)C(3)N(1)S(1)' mod_dict['DTBP[ProteinN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PRO_N 87.014270 87.014270 0 H(5)C(3)N(1)S(1)' mod_dict['DTT_C_2H(6)[C]'] = 'C NORMAL 126.062161 126.062161 0 H(2)2H(6)C(4)O(2)S(1)' mod_dict['DTT_ST[S]'] = 'S NORMAL 136.001656 136.001656 0 H(8)C(4)O(1)S(2)' mod_dict['DTT_ST[T]'] = 'T NORMAL 136.001656 136.001656 0 H(8)C(4)O(1)S(2)' mod_dict['DTT_ST_2H(6)[S]'] = 'S NORMAL 142.039317 142.039317 0 H(2)2H(6)C(4)O(1)S(2)' mod_dict['DTT_ST_2H(6)[T]'] = 'T NORMAL 142.039317 142.039317 0 H(2)2H(6)C(4)O(1)S(2)' mod_dict['Dansyl[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 233.051049 233.051049 0 H(11)C(12)N(1)O(2)S(1)' mod_dict['Dansyl[K]'] = 'K NORMAL 233.051049 233.051049 0 H(11)C(12)N(1)O(2)S(1)' mod_dict['Dap-DSP[A]'] = 'A NORMAL 328.055148 328.055148 0 H(16)C(13)N(2)O(4)S(2)' mod_dict['Dap-DSP[E]'] = 'E NORMAL 328.055148 328.055148 0 H(16)C(13)N(2)O(4)S(2)' mod_dict['Dap-DSP[K]'] = 'K NORMAL 328.055148 328.055148 0 H(16)C(13)N(2)O(4)S(2)' mod_dict['DeStreak[C]'] = 'C NORMAL 75.998285 75.998285 0 H(4)C(2)O(1)S(1)' mod_dict['Deamidated[N]'] = 'N NORMAL 0.984016 0.984016 0 H(-1)N(-1)O(1)' mod_dict['Deamidated[Q]'] = 'Q NORMAL 0.984016 0.984016 0 H(-1)N(-1)O(1)' mod_dict['Deamidated[R]'] = 'R NORMAL 0.984016 0.984016 0 H(-1)N(-1)O(1)' mod_dict['Deamidated[ProteinN-termF]'] = 'F PRO_N 0.984016 0.984016 0 H(-1)N(-1)O(1)' mod_dict['Deamidated_18O(1)[Q]'] = 'Q NORMAL 2.988261 2.988261 0 H(-1)N(-1)18O(1)' mod_dict['Decanoyl[S]'] = 'S NORMAL 154.135765 154.135765 0 H(18)C(10)O(1)' mod_dict['Decanoyl[T]'] = 'T NORMAL 154.135765 154.135765 0 H(18)C(10)O(1)' mod_dict['Dehydrated[AnyN-termC]'] = 'C PEP_N -18.010565 -18.010565 0 H(-2)O(-1)' mod_dict['Dehydrated[D]'] = 'D NORMAL -18.010565 -18.010565 0 H(-2)O(-1)' mod_dict['Dehydrated[S]'] = 'S NORMAL -18.010565 -18.010565 0 H(-2)O(-1)' mod_dict['Dehydrated[T]'] = 'T NORMAL -18.010565 -18.010565 0 H(-2)O(-1)' mod_dict['Dehydrated[Y]'] = 'Y NORMAL -18.010565 -18.010565 0 H(-2)O(-1)' mod_dict['Dehydrated[ProteinC-termN]'] = 'N PRO_C -18.010565 -18.010565 0 H(-2)O(-1)' mod_dict['Dehydrated[ProteinC-termQ]'] = 'Q PRO_C -18.010565 -18.010565 0 H(-2)O(-1)' mod_dict['Dehydro[C]'] = 'C NORMAL -1.007825 -1.007825 0 H(-1)' mod_dict['Delta_H(1)O(-1)18O(1)[N]'] = 'N NORMAL 2.988261 2.988261 0 H(-1)N(-1)18O(1)' mod_dict['Delta_H(2)C(2)[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 26.015650 26.015650 0 H(2)C(2)' mod_dict['Delta_H(2)C(2)[H]'] = 'H NORMAL 26.015650 26.015650 0 H(2)C(2)' mod_dict['Delta_H(2)C(2)[K]'] = 'K NORMAL 26.015650 26.015650 0 H(2)C(2)' mod_dict['Delta_H(2)C(2)[ProteinN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PRO_N 26.015650 26.015650 0 H(2)C(2)' mod_dict['Delta_H(2)C(3)[K]'] = 'K NORMAL 38.015650 38.015650 0 H(2)C(3)' mod_dict['Delta_H(2)C(3)O(1)[K]'] = 'K NORMAL 54.010565 54.010565 0 H(2)C(3)O(1)' mod_dict['Delta_H(2)C(5)[K]'] = 'K NORMAL 62.015650 62.015650 0 H(2)C(5)' mod_dict['Delta_H(4)C(2)[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 28.031300 28.031300 0 H(4)C(2)' mod_dict['Delta_H(4)C(2)[H]'] = 'H NORMAL 28.031300 28.031300 0 H(4)C(2)' mod_dict['Delta_H(4)C(2)[K]'] = 'K NORMAL 28.031300 28.031300 0 H(4)C(2)' mod_dict['Delta_H(4)C(2)O(-1)S(1)[S]'] = 'S NORMAL 44.008456 44.008456 0 H(4)C(2)O(-1)S(1)' mod_dict['Delta_H(4)C(3)[H]'] = 'H NORMAL 40.031300 40.031300 0 H(4)C(3)' mod_dict['Delta_H(4)C(3)[K]'] = 'K NORMAL 40.031300 40.031300 0 H(4)C(3)' mod_dict['Delta_H(4)C(3)[ProteinN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PRO_N 40.031300 40.031300 0 H(4)C(3)' mod_dict['Delta_H(4)C(3)O(1)[C]'] = 'C NORMAL 56.026215 56.026215 0 H(4)C(3)O(1)' mod_dict['Delta_H(4)C(3)O(1)[H]'] = 'H NORMAL 56.026215 56.026215 0 H(4)C(3)O(1)' mod_dict['Delta_H(4)C(6)[K]'] = 'K NORMAL 76.031300 76.031300 0 H(4)C(6)' mod_dict['Delta_H(5)C(2)[P]'] = 'P NORMAL 29.039125 29.039125 0 H(5)C(2)' mod_dict['Delta_H(6)C(3)O(1)[C]'] = 'C NORMAL 58.041865 58.041865 0 H(6)C(3)O(1)' mod_dict['Delta_H(6)C(3)O(1)[H]'] = 'H NORMAL 58.041865 58.041865 0 H(6)C(3)O(1)' mod_dict['Delta_H(6)C(3)O(1)[K]'] = 'K NORMAL 58.041865 58.041865 0 H(6)C(3)O(1)' mod_dict['Delta_H(6)C(3)O(1)[ProteinN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PRO_N 58.041865 58.041865 0 H(6)C(3)O(1)' mod_dict['Delta_H(6)C(6)O(1)[K]'] = 'K NORMAL 94.041865 94.041865 0 H(6)C(6)O(1)' mod_dict['Delta_H(8)C(6)O(1)[L]'] = 'L NORMAL 96.057515 96.057515 0 H(8)C(6)O(1)' mod_dict['Delta_H(8)C(6)O(1)[ProteinN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PRO_N 96.057515 96.057515 0 H(8)C(6)O(1)' mod_dict['Delta_H(8)C(6)O(2)[K]'] = 'K NORMAL 112.052430 112.052430 0 H(8)C(6)O(2)' mod_dict['Delta_Hg(1)[C]'] = 'C NORMAL 201.970617 201.970617 0 Hg(1)' mod_dict['Delta_S(-1)Se(1)[C]'] = 'C NORMAL 47.944449 47.944449 0 S(-1)Se(1)' mod_dict['Delta_S(-1)Se(1)[M]'] = 'M NORMAL 47.944449 47.944449 0 S(-1)Se(1)' mod_dict['Delta_Se(1)[C]'] = 'C NORMAL 79.916520 79.916520 0 Se(1)' mod_dict['Deoxy[D]'] = 'D NORMAL -15.994915 -15.994915 0 O(-1)' mod_dict['Deoxy[S]'] = 'S NORMAL -15.994915 -15.994915 0 O(-1)' mod_dict['Deoxy[T]'] = 'T NORMAL -15.994915 -15.994915 0 O(-1)' mod_dict['Deoxyhypusine[K]'] = 'K NORMAL 71.073499 71.073499 0 H(9)C(4)N(1)' mod_dict['Dethiomethyl[M]'] = 'M NORMAL -48.003371 -48.003371 0 H(-4)C(-1)S(-1)' mod_dict['DiART6plex[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 217.162932 217.162932 0 H(20)C(7)13C(4)N(1)15N(1)O(2)' mod_dict['DiART6plex[K]'] = 'K NORMAL 217.162932 217.162932 0 H(20)C(7)13C(4)N(1)15N(1)O(2)' mod_dict['DiART6plex[Y]'] = 'Y NORMAL 217.162932 217.162932 0 H(20)C(7)13C(4)N(1)15N(1)O(2)' mod_dict['DiART6plex[ProteinN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PRO_N 217.162932 217.162932 0 H(20)C(7)13C(4)N(1)15N(1)O(2)' mod_dict['DiART6plex115[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 217.156612 217.156612 0 H(20)C(8)13C(3)15N(2)O(2)' mod_dict['DiART6plex115[K]'] = 'K NORMAL 217.156612 217.156612 0 H(20)C(8)13C(3)15N(2)O(2)' mod_dict['DiART6plex115[Y]'] = 'Y NORMAL 217.156612 217.156612 0 H(20)C(8)13C(3)15N(2)O(2)' mod_dict['DiART6plex115[ProteinN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PRO_N 217.156612 217.156612 0 H(20)C(8)13C(3)15N(2)O(2)' mod_dict['DiART6plex116/119[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 217.168776 217.168776 0 H(18)2H(2)C(9)13C(2)N(1)15N(1)O(2)' mod_dict['DiART6plex116/119[K]'] = 'K NORMAL 217.168776 217.168776 0 H(18)2H(2)C(9)13C(2)N(1)15N(1)O(2)' mod_dict['DiART6plex116/119[Y]'] = 'Y NORMAL 217.168776 217.168776 0 H(18)2H(2)C(9)13C(2)N(1)15N(1)O(2)' mod_dict['DiART6plex116/119[ProteinN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PRO_N 217.168776 217.168776 0 H(18)2H(2)C(9)13C(2)N(1)15N(1)O(2)' mod_dict['DiART6plex117[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 217.162456 217.162456 0 H(18)2H(2)C(10)13C(1)15N(2)O(2)' mod_dict['DiART6plex117[K]'] = 'K NORMAL 217.162456 217.162456 0 H(18)2H(2)C(10)13C(1)15N(2)O(2)' mod_dict['DiART6plex117[Y]'] = 'Y NORMAL 217.162456 217.162456 0 H(18)2H(2)C(10)13C(1)15N(2)O(2)' mod_dict['DiART6plex117[ProteinN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PRO_N 217.162456 217.162456 0 H(18)2H(2)C(10)13C(1)15N(2)O(2)' mod_dict['DiART6plex118[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 217.175096 217.175096 0 H(18)2H(2)C(8)13C(3)N(2)O(2)' mod_dict['DiART6plex118[K]'] = 'K NORMAL 217.175096 217.175096 0 H(18)2H(2)C(8)13C(3)N(2)O(2)' mod_dict['DiART6plex118[Y]'] = 'Y NORMAL 217.175096 217.175096 0 H(18)2H(2)C(8)13C(3)N(2)O(2)' mod_dict['DiART6plex118[ProteinN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PRO_N 217.175096 217.175096 0 H(18)2H(2)C(8)13C(3)N(2)O(2)' mod_dict['DiDehydro[C]'] = 'C NORMAL -2.015650 -2.015650 0 H(-2)' mod_dict['DiLeu4plex[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 145.132163 145.132163 0 H(13)2H(2)C(8)N(1)18O(1)' mod_dict['DiLeu4plex[K]'] = 'K NORMAL 145.132163 145.132163 0 H(13)2H(2)C(8)N(1)18O(1)' mod_dict['DiLeu4plex[Y]'] = 'Y NORMAL 145.132163 145.132163 0 H(13)2H(2)C(8)N(1)18O(1)' mod_dict['DiLeu4plex115[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 145.120000 145.120000 0 H(15)C(7)13C(1)15N(1)18O(1)' mod_dict['DiLeu4plex115[K]'] = 'K NORMAL 145.120000 145.120000 0 H(15)C(7)13C(1)15N(1)18O(1)' mod_dict['DiLeu4plex115[Y]'] = 'Y NORMAL 145.120000 145.120000 0 H(15)C(7)13C(1)15N(1)18O(1)' mod_dict['DiLeu4plex117[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 145.128307 145.128307 0 H(13)2H(2)C(7)13C(1)15N(1)O(1)' mod_dict['DiLeu4plex117[K]'] = 'K NORMAL 145.128307 145.128307 0 H(13)2H(2)C(7)13C(1)15N(1)O(1)' mod_dict['DiLeu4plex117[Y]'] = 'Y NORMAL 145.128307 145.128307 0 H(13)2H(2)C(7)13C(1)15N(1)O(1)' mod_dict['DiLeu4plex118[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 145.140471 145.140471 0 H(11)2H(4)C(8)N(1)O(1)' mod_dict['DiLeu4plex118[K]'] = 'K NORMAL 145.140471 145.140471 0 H(11)2H(4)C(8)N(1)O(1)' mod_dict['DiLeu4plex118[Y]'] = 'Y NORMAL 145.140471 145.140471 0 H(11)2H(4)C(8)N(1)O(1)' mod_dict['Diacylglycerol[C]'] = 'C NORMAL 576.511761 576.511761 0 H(68)C(37)O(4)' mod_dict['Dibromo[Y]'] = 'Y NORMAL 155.821022 155.821022 0 H(-2)Br(2)' mod_dict['Dicarbamidomethyl[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 114.042927 114.042927 0 H(6)C(4)N(2)O(2)' mod_dict['Dicarbamidomethyl[C]'] = 'C NORMAL 114.042927 114.042927 0 H(6)C(4)N(2)O(2)' mod_dict['Dicarbamidomethyl[H]'] = 'H NORMAL 114.042927 114.042927 0 H(6)C(4)N(2)O(2)' mod_dict['Dicarbamidomethyl[K]'] = 'K NORMAL 114.042927 114.042927 0 H(6)C(4)N(2)O(2)' mod_dict['Dicarbamidomethyl[R]'] = 'R NORMAL 114.042927 114.042927 0 H(6)C(4)N(2)O(2)' mod_dict['Didehydro[AnyC-termK]'] = 'K PEP_C -2.015650 -2.015650 0 H(-2)' mod_dict['Didehydro[S]'] = 'S NORMAL -2.015650 -2.015650 0 H(-2)' mod_dict['Didehydro[T]'] = 'T NORMAL -2.015650 -2.015650 0 H(-2)' mod_dict['Didehydro[Y]'] = 'Y NORMAL -2.015650 -2.015650 0 H(-2)' mod_dict['Didehydroretinylidene[K]'] = 'K NORMAL 264.187801 264.187801 0 H(24)C(20)' mod_dict['Diethyl[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 56.062600 56.062600 0 H(8)C(4)' mod_dict['Diethyl[K]'] = 'K NORMAL 56.062600 56.062600 0 H(8)C(4)' mod_dict['Diethylphosphate[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 136.028931 136.028931 0 H(9)C(4)O(3)P(1)' mod_dict['Diethylphosphate[C]'] = 'C NORMAL 136.028931 136.028931 0 H(9)C(4)O(3)P(1)' mod_dict['Diethylphosphate[H]'] = 'H NORMAL 136.028931 136.028931 0 H(9)C(4)O(3)P(1)' mod_dict['Diethylphosphate[K]'] = 'K NORMAL 136.028931 136.028931 0 H(9)C(4)O(3)P(1)' mod_dict['Diethylphosphate[S]'] = 'S NORMAL 136.028931 136.028931 0 H(9)C(4)O(3)P(1)' mod_dict['Diethylphosphate[T]'] = 'T NORMAL 136.028931 136.028931 0 H(9)C(4)O(3)P(1)' mod_dict['Diethylphosphate[Y]'] = 'Y NORMAL 136.028931 136.028931 0 H(9)C(4)O(3)P(1)' mod_dict['Difuran[Y]'] = 'Y NORMAL 132.021129 132.021129 0 H(4)C(8)O(2)' mod_dict['Dihydroxyimidazolidine[R]'] = 'R NORMAL 72.021129 72.021129 0 H(4)C(3)O(2)' mod_dict['Diiodo[H]'] = 'H NORMAL 251.793296 251.793296 0 H(-2)I(2)' mod_dict['Diiodo[Y]'] = 'Y NORMAL 251.793296 251.793296 0 H(-2)I(2)' mod_dict['Diironsubcluster[C]'] = 'C NORMAL 342.786916 342.786916 0 H(-1)C(5)N(2)O(5)S(2)Fe(2)' mod_dict['Diisopropylphosphate[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 164.060231 164.060231 0 H(13)C(6)O(3)P(1)' mod_dict['Diisopropylphosphate[K]'] = 'K NORMAL 164.060231 164.060231 0 H(13)C(6)O(3)P(1)' mod_dict['Diisopropylphosphate[S]'] = 'S NORMAL 164.060231 164.060231 0 H(13)C(6)O(3)P(1)' mod_dict['Diisopropylphosphate[T]'] = 'T NORMAL 164.060231 164.060231 0 H(13)C(6)O(3)P(1)' mod_dict['Diisopropylphosphate[Y]'] = 'Y NORMAL 164.060231 164.060231 0 H(13)C(6)O(3)P(1)' mod_dict['Dimethyl[N]'] = 'N NORMAL 28.031300 28.031300 0 H(4)C(2)' mod_dict['Dimethyl[R]'] = 'R NORMAL 28.031300 28.031300 0 H(4)C(2)' mod_dict['Dimethyl[ProteinN-termP]'] = 'P PRO_N 28.031300 28.031300 0 H(4)C(2)' mod_dict['DimethylArsino[C]'] = 'C NORMAL 103.960719 103.960719 0 H(5)C(2)As(1)' mod_dict['Dimethyl_2H(4)[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 32.056407 32.056407 0 2H(4)C(2)' mod_dict['Dimethyl_2H(4)[K]'] = 'K NORMAL 32.056407 32.056407 0 2H(4)C(2)' mod_dict['Dimethyl_2H(4)[ProteinN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PRO_N 32.056407 32.056407 0 2H(4)C(2)' mod_dict['Dimethyl_2H(4)13C(2)[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 34.063117 34.063117 0 2H(4)13C(2)' mod_dict['Dimethyl_2H(4)13C(2)[K]'] = 'K NORMAL 34.063117 34.063117 0 2H(4)13C(2)' mod_dict['Dimethyl_2H(6)[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 34.068961 34.068961 0 H(-2)2H(6)C(2)' mod_dict['Dimethyl_2H(6)[K]'] = 'K NORMAL 34.068961 34.068961 0 H(-2)2H(6)C(2)' mod_dict['Dimethyl_2H(6)[R]'] = 'R NORMAL 34.068961 34.068961 0 H(-2)2H(6)C(2)' mod_dict['Dimethyl_2H(6)13C(2)[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 36.075670 36.075670 0 H(-2)2H(6)13C(2)' mod_dict['Dimethyl_2H(6)13C(2)[K]'] = 'K NORMAL 36.075670 36.075670 0 H(-2)2H(6)13C(2)' mod_dict['Dimethyl_2H(6)13C(2)[R]'] = 'R NORMAL 36.075670 36.075670 0 H(-2)2H(6)13C(2)' mod_dict['DimethylamineGMBS[C]'] = 'C NORMAL 267.158292 267.158292 0 H(21)C(13)N(3)O(3)' mod_dict['DimethylpyrroleAdduct[K]'] = 'K NORMAL 78.046950 78.046950 0 H(6)C(6)' mod_dict['Dioxidation[C]'] = 'C NORMAL 31.989829 31.989829 0 O(2)' mod_dict['Dioxidation[F]'] = 'F NORMAL 31.989829 31.989829 0 O(2)' mod_dict['Dioxidation[K]'] = 'K NORMAL 31.989829 31.989829 0 O(2)' mod_dict['Dioxidation[M]'] = 'M NORMAL 31.989829 31.989829 0 O(2)' mod_dict['Dioxidation[P]'] = 'P NORMAL 31.989829 31.989829 0 O(2)' mod_dict['Dioxidation[R]'] = 'R NORMAL 31.989829 31.989829 0 O(2)' mod_dict['Dioxidation[W]'] = 'W NORMAL 31.989829 31.989829 0 O(2)' mod_dict['Dioxidation[Y]'] = 'Y NORMAL 31.989829 31.989829 0 O(2)' mod_dict['Diphthamide[H]'] = 'H NORMAL 143.118438 143.118438 0 H(15)C(7)N(2)O(1)' mod_dict['Dipyridyl[C]'] = 'C NORMAL 225.090212 225.090212 0 H(11)C(13)N(3)O(1)' mod_dict['Dipyrrolylmethanemethyl[C]'] = 'C NORMAL 418.137616 418.137616 0 H(22)C(20)N(2)O(8)' mod_dict['DyLight-maleimide[C]'] = 'C NORMAL 940.199900 940.199900 0 H(48)C(39)N(4)O(15)S(4)' mod_dict['EDT-iodoacetyl-PEO-biotin[S]'] = 'S NORMAL 490.174218 490.174218 0 H(34)C(20)N(4)O(4)S(3)' mod_dict['EDT-iodoacetyl-PEO-biotin[T]'] = 'T NORMAL 490.174218 490.174218 0 H(34)C(20)N(4)O(4)S(3)' mod_dict['EDT-maleimide-PEO-biotin[S]'] = 'S NORMAL 601.206246 601.206246 0 H(39)C(25)N(5)O(6)S(3)' mod_dict['EDT-maleimide-PEO-biotin[T]'] = 'T NORMAL 601.206246 601.206246 0 H(39)C(25)N(5)O(6)S(3)' mod_dict['EGCG1[C]'] = 'C NORMAL 456.069261 456.069261 0 H(16)C(22)O(11)' mod_dict['EGCG2[C]'] = 'C NORMAL 287.055563 287.055563 0 H(11)C(15)O(6)' mod_dict['EHD-diphenylpentanone[C]'] = 'C NORMAL 266.130680 266.130680 0 H(18)C(18)O(2)' mod_dict['EHD-diphenylpentanone[M]'] = 'M NORMAL 266.130680 266.130680 0 H(18)C(18)O(2)' mod_dict['EQAT[C]'] = 'C NORMAL 184.157563 184.157563 0 H(20)C(10)N(2)O(1)' mod_dict['EQAT_2H(5)[C]'] = 'C NORMAL 189.188947 189.188947 0 H(15)2H(5)C(10)N(2)O(1)' mod_dict['EQIGG[K]'] = 'K NORMAL 484.228162 484.228162 0 H(32)C(20)N(6)O(8)' mod_dict['ESP[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 338.177647 338.177647 0 H(26)C(16)N(4)O(2)S(1)' mod_dict['ESP[K]'] = 'K NORMAL 338.177647 338.177647 0 H(26)C(16)N(4)O(2)S(1)' mod_dict['ESP_2H(10)[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 348.240414 348.240414 0 H(16)2H(10)C(16)N(4)O(2)S(1)' mod_dict['ESP_2H(10)[K]'] = 'K NORMAL 348.240414 348.240414 0 H(16)2H(10)C(16)N(4)O(2)S(1)' mod_dict['Ethanedithiol[S]'] = 'S NORMAL 75.980527 75.980527 0 H(4)C(2)O(-1)S(2)' mod_dict['Ethanedithiol[T]'] = 'T NORMAL 75.980527 75.980527 0 H(4)C(2)O(-1)S(2)' mod_dict['Ethanolamine[AnyC-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_C 43.042199 43.042199 0 H(5)C(2)N(1)' mod_dict['Ethanolamine[C]'] = 'C NORMAL 43.042199 43.042199 0 H(5)C(2)N(1)' mod_dict['Ethanolamine[D]'] = 'D NORMAL 43.042199 43.042199 0 H(5)C(2)N(1)' mod_dict['Ethanolamine[E]'] = 'E NORMAL 43.042199 43.042199 0 H(5)C(2)N(1)' mod_dict['Ethanolyl[C]'] = 'C NORMAL 44.026215 44.026215 0 H(4)C(2)O(1)' mod_dict['Ethanolyl[K]'] = 'K NORMAL 44.026215 44.026215 0 H(4)C(2)O(1)' mod_dict['Ethanolyl[R]'] = 'R NORMAL 44.026215 44.026215 0 H(4)C(2)O(1)' mod_dict['Ethoxyformyl[H]'] = 'H NORMAL 73.028954 73.028954 0 H(5)C(3)O(2)' mod_dict['Ethyl+Deamidated[N]'] = 'N NORMAL 29.015316 29.015316 0 H(3)C(2)N(-1)O(1)' mod_dict['Ethyl+Deamidated[Q]'] = 'Q NORMAL 29.015316 29.015316 0 H(3)C(2)N(-1)O(1)' mod_dict['Ethyl[AnyC-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_C 28.031300 28.031300 0 H(4)C(2)' mod_dict['Ethyl[D]'] = 'D NORMAL 28.031300 28.031300 0 H(4)C(2)' mod_dict['Ethyl[E]'] = 'E NORMAL 28.031300 28.031300 0 H(4)C(2)' mod_dict['Ethyl[ProteinN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PRO_N 28.031300 28.031300 0 H(4)C(2)' mod_dict['Ethylphosphate[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 107.997631 107.997631 0 H(5)C(2)O(3)P(1)' mod_dict['Ethylphosphate[K]'] = 'K NORMAL 107.997631 107.997631 0 H(5)C(2)O(3)P(1)' mod_dict['ExacTagAmine[K]'] = 'K NORMAL 1046.347854 1046.347854 0 H(52)C(25)13C(12)N(8)15N(6)O(19)S(1)' mod_dict['ExacTagThiol[C]'] = 'C NORMAL 972.365219 972.365219 0 H(50)C(23)13C(12)N(8)15N(6)O(18)' mod_dict['FAD[C]'] = 'C NORMAL 783.141486 783.141486 0 H(31)C(27)N(9)O(15)P(2)' mod_dict['FAD[H]'] = 'H NORMAL 783.141486 783.141486 0 H(31)C(27)N(9)O(15)P(2)' mod_dict['FAD[Y]'] = 'Y NORMAL 783.141486 783.141486 0 H(31)C(27)N(9)O(15)P(2)' mod_dict['FMN[S]'] = 'S NORMAL 438.094051 438.094051 0 H(19)C(17)N(4)O(8)P(1)' mod_dict['FMN[T]'] = 'T NORMAL 438.094051 438.094051 0 H(19)C(17)N(4)O(8)P(1)' mod_dict['FMNC[C]'] = 'C NORMAL 456.104615 456.104615 0 H(21)C(17)N(4)O(9)P(1)' mod_dict['FMNH[C]'] = 'C NORMAL 454.088965 454.088965 0 H(19)C(17)N(4)O(9)P(1)' mod_dict['FMNH[H]'] = 'H NORMAL 454.088965 454.088965 0 H(19)C(17)N(4)O(9)P(1)' mod_dict['FNEM[C]'] = 'C NORMAL 427.069202 427.069202 0 H(13)C(24)N(1)O(7)' mod_dict['FP-Biotin[K]'] = 'K NORMAL 572.316129 572.316129 0 H(49)C(27)N(4)O(5)P(1)S(1)' mod_dict['FP-Biotin[S]'] = 'S NORMAL 572.316129 572.316129 0 H(49)C(27)N(4)O(5)P(1)S(1)' mod_dict['FP-Biotin[T]'] = 'T NORMAL 572.316129 572.316129 0 H(49)C(27)N(4)O(5)P(1)S(1)' mod_dict['FP-Biotin[Y]'] = 'Y NORMAL 572.316129 572.316129 0 H(49)C(27)N(4)O(5)P(1)S(1)' mod_dict['FTC[C]'] = 'C NORMAL 421.073241 421.073241 0 H(15)C(21)N(3)O(5)S(1)' mod_dict['FTC[K]'] = 'K NORMAL 421.073241 421.073241 0 H(15)C(21)N(3)O(5)S(1)' mod_dict['FTC[P]'] = 'P NORMAL 421.073241 421.073241 0 H(15)C(21)N(3)O(5)S(1)' mod_dict['FTC[R]'] = 'R NORMAL 421.073241 421.073241 0 H(15)C(21)N(3)O(5)S(1)' mod_dict['FTC[S]'] = 'S NORMAL 421.073241 421.073241 0 H(15)C(21)N(3)O(5)S(1)' mod_dict['Farnesyl[C]'] = 'C NORMAL 204.187801 204.187801 0 H(24)C(15)' mod_dict['Fluorescein[C]'] = 'C NORMAL 388.082112 388.082112 0 H(14)C(22)N(1)O(6)' mod_dict['Fluoro[A]'] = 'A NORMAL 17.990578 17.990578 0 H(-1)F(1)' mod_dict['Fluoro[F]'] = 'F NORMAL 17.990578 17.990578 0 H(-1)F(1)' mod_dict['Fluoro[W]'] = 'W NORMAL 17.990578 17.990578 0 H(-1)F(1)' mod_dict['Fluoro[Y]'] = 'Y NORMAL 17.990578 17.990578 0 H(-1)F(1)' mod_dict['Formyl[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 27.994915 27.994915 0 C(1)O(1)' mod_dict['Formyl[K]'] = 'K NORMAL 27.994915 27.994915 0 C(1)O(1)' mod_dict['Formyl[S]'] = 'S NORMAL 27.994915 27.994915 0 C(1)O(1)' mod_dict['Formyl[T]'] = 'T NORMAL 27.994915 27.994915 0 C(1)O(1)' mod_dict['Formyl[ProteinN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PRO_N 27.994915 27.994915 0 C(1)O(1)' mod_dict['FormylMet[ProteinN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PRO_N 159.035399 159.035399 0 H(9)C(6)N(1)O(2)S(1)' mod_dict['Furan[Y]'] = 'Y NORMAL 66.010565 66.010565 0 H(2)C(4)O(1)' mod_dict['G-H1[R]'] = 'R NORMAL 39.994915 39.994915 0 C(2)O(1)' mod_dict['GGQ[K]'] = 'K NORMAL 242.101505 242.101505 0 H(14)C(9)N(4)O(4)' mod_dict['GIST-Quat[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 127.099714 127.099714 1 59.073499 59.073499 H(13)C(7)N(1)O(1)' mod_dict['GIST-Quat[K]'] = 'K NORMAL 127.099714 127.099714 1 59.073499 59.073499 H(13)C(7)N(1)O(1)' mod_dict['GIST-Quat_2H(3)[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 130.118544 130.118544 1 62.092330 62.092330 H(10)2H(3)C(7)N(1)O(1)' mod_dict['GIST-Quat_2H(3)[K]'] = 'K NORMAL 130.118544 130.118544 1 62.092330 62.092330 H(10)2H(3)C(7)N(1)O(1)' mod_dict['GIST-Quat_2H(6)[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 133.137375 133.137375 1 65.111160 65.111160 H(7)2H(6)C(7)N(1)O(1)' mod_dict['GIST-Quat_2H(6)[K]'] = 'K NORMAL 133.137375 133.137375 1 65.111160 65.111160 H(7)2H(6)C(7)N(1)O(1)' mod_dict['GIST-Quat_2H(9)[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 136.156205 136.156205 1 68.129990 68.129990 H(4)2H(9)C(7)N(1)O(1)' mod_dict['GIST-Quat_2H(9)[K]'] = 'K NORMAL 136.156205 136.156205 1 68.129990 68.129990 H(4)2H(9)C(7)N(1)O(1)' mod_dict['GPIanchor[ProteinC-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PRO_C 123.008530 123.008530 0 H(6)C(2)N(1)O(3)P(1)' mod_dict['GeranylGeranyl[C]'] = 'C NORMAL 272.250401 272.250401 0 H(32)C(20)' mod_dict['Gln->Ala[Q]'] = 'Q NORMAL -57.021464 -57.021464 0 H(-3)C(-2)N(-1)O(-1)' mod_dict['Gln->Arg[Q]'] = 'Q NORMAL 28.042534 28.042534 0 H(4)C(1)N(2)O(-1)' mod_dict['Gln->Asn[Q]'] = 'Q NORMAL -14.015650 -14.015650 0 H(-2)C(-1)' mod_dict['Gln->Asp[Q]'] = 'Q NORMAL -13.031634 -13.031634 0 H(-3)C(-1)N(-1)O(1)' mod_dict['Gln->Cys[Q]'] = 'Q NORMAL -25.049393 -25.049393 0 H(-3)C(-2)N(-1)O(-1)S(1)' mod_dict['Gln->Gly[Q]'] = 'Q NORMAL -71.037114 -71.037114 0 H(-5)C(-3)N(-1)O(-1)' mod_dict['Gln->His[Q]'] = 'Q NORMAL 9.000334 9.000334 0 H(-1)C(1)N(1)O(-1)' mod_dict['Gln->Lys[Q]'] = 'Q NORMAL 0.036386 0.036386 0 H(4)C(1)O(-1)' mod_dict['Gln->Met[Q]'] = 'Q NORMAL 2.981907 2.981907 0 H(1)N(-1)O(-1)S(1)' mod_dict['Gln->Phe[Q]'] = 'Q NORMAL 19.009836 19.009836 0 H(1)C(4)N(-1)O(-1)' mod_dict['Gln->Pro[Q]'] = 'Q NORMAL -31.005814 -31.005814 0 H(-1)N(-1)O(-1)' mod_dict['Gln->Ser[Q]'] = 'Q NORMAL -41.026549 -41.026549 0 H(-3)C(-2)N(-1)' mod_dict['Gln->Thr[Q]'] = 'Q NORMAL -27.010899 -27.010899 0 H(-1)C(-1)N(-1)' mod_dict['Gln->Trp[Q]'] = 'Q NORMAL 58.020735 58.020735 0 H(2)C(6)O(-1)' mod_dict['Gln->Tyr[Q]'] = 'Q NORMAL 35.004751 35.004751 0 H(1)C(4)N(-1)' mod_dict['Gln->Val[Q]'] = 'Q NORMAL -28.990164 -28.990164 0 H(1)N(-1)O(-1)' mod_dict['Gln->Xle[Q]'] = 'Q NORMAL -14.974514 -14.974514 0 H(3)C(1)N(-1)O(-1)' mod_dict['Gln->pyro-Glu[AnyN-termQ]'] = 'Q PEP_N -17.026549 -17.026549 0 H(-3)N(-1)' mod_dict['Glu->Ala[E]'] = 'E NORMAL -58.005479 -58.005479 0 H(-2)C(-2)O(-2)' mod_dict['Glu->Arg[E]'] = 'E NORMAL 27.058518 27.058518 0 H(5)C(1)N(3)O(-2)' mod_dict['Glu->Asn[E]'] = 'E NORMAL -14.999666 -14.999666 0 H(-1)C(-1)N(1)O(-1)' mod_dict['Glu->Asp[E]'] = 'E NORMAL -14.015650 -14.015650 0 H(-2)C(-1)' mod_dict['Glu->Cys[E]'] = 'E NORMAL -26.033409 -26.033409 0 H(-2)C(-2)O(-2)S(1)' mod_dict['Glu->Gln[E]'] = 'E NORMAL -0.984016 -0.984016 0 H(1)N(1)O(-1)' mod_dict['Glu->Gly[E]'] = 'E NORMAL -72.021129 -72.021129 0 H(-4)C(-3)O(-2)' mod_dict['Glu->His[E]'] = 'E NORMAL 8.016319 8.016319 0 C(1)N(2)O(-2)' mod_dict['Glu->Lys[E]'] = 'E NORMAL -0.947630 -0.947630 0 H(5)C(1)N(1)O(-2)' mod_dict['Glu->Met[E]'] = 'E NORMAL 1.997892 1.997892 0 H(2)O(-2)S(1)' mod_dict['Glu->Phe[E]'] = 'E NORMAL 18.025821 18.025821 0 H(2)C(4)O(-2)' mod_dict['Glu->Pro[E]'] = 'E NORMAL -31.989829 -31.989829 0 O(-2)' mod_dict['Glu->Ser[E]'] = 'E NORMAL -42.010565 -42.010565 0 H(-2)C(-2)O(-1)' mod_dict['Glu->Thr[E]'] = 'E NORMAL -27.994915 -27.994915 0 C(-1)O(-1)' mod_dict['Glu->Trp[E]'] = 'E NORMAL 57.036720 57.036720 0 H(3)C(6)N(1)O(-2)' mod_dict['Glu->Tyr[E]'] = 'E NORMAL 34.020735 34.020735 0 H(2)C(4)O(-1)' mod_dict['Glu->Val[E]'] = 'E NORMAL -29.974179 -29.974179 0 H(2)O(-2)' mod_dict['Glu->Xle[E]'] = 'E NORMAL -15.958529 -15.958529 0 H(4)C(1)O(-2)' mod_dict['Glu->pyro-Glu[AnyN-termE]'] = 'E PEP_N -18.010565 -18.010565 0 H(-2)O(-1)' mod_dict['Glu[E]'] = 'E NORMAL 129.042593 129.042593 0 H(7)C(5)N(1)O(3)' mod_dict['Glu[ProteinC-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PRO_C 129.042593 129.042593 0 H(7)C(5)N(1)O(3)' mod_dict['GluGlu[E]'] = 'E NORMAL 258.085186 258.085186 0 H(14)C(10)N(2)O(6)' mod_dict['GluGlu[ProteinC-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PRO_C 258.085186 258.085186 0 H(14)C(10)N(2)O(6)' mod_dict['GluGluGlu[E]'] = 'E NORMAL 387.127779 387.127779 0 H(21)C(15)N(3)O(9)' mod_dict['GluGluGlu[ProteinC-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PRO_C 387.127779 387.127779 0 H(21)C(15)N(3)O(9)' mod_dict['GluGluGluGlu[E]'] = 'E NORMAL 516.170373 516.170373 0 H(28)C(20)N(4)O(12)' mod_dict['GluGluGluGlu[ProteinC-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PRO_C 516.170373 516.170373 0 H(28)C(20)N(4)O(12)' mod_dict['Gluconoylation[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 178.047738 178.047738 0 H(10)C(6)O(6)' mod_dict['Gluconoylation[K]'] = 'K NORMAL 178.047738 178.047738 0 H(10)C(6)O(6)' mod_dict['Glucosylgalactosyl[K]'] = 'K NORMAL 340.100562 340.100562 2 324.105647 324.105647 162.052823 162.052823 O(1)Hex(2)' mod_dict['Glucuronyl[S]'] = 'S NORMAL 176.032088 176.032088 0 H(8)C(6)O(6)' mod_dict['Glucuronyl[ProteinN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PRO_N 176.032088 176.032088 0 H(8)C(6)O(6)' mod_dict['Glutathione[C]'] = 'C NORMAL 305.068156 305.068156 0 H(15)C(10)N(3)O(6)S(1)' mod_dict['Gly->Ala[G]'] = 'G NORMAL 14.015650 14.015650 0 H(2)C(1)' mod_dict['Gly->Arg[G]'] = 'G NORMAL 99.079647 99.079647 0 H(9)C(4)N(3)' mod_dict['Gly->Asn[G]'] = 'G NORMAL 57.021464 57.021464 0 H(3)C(2)N(1)O(1)' mod_dict['Gly->Asp[G]'] = 'G NORMAL 58.005479 58.005479 0 H(2)C(2)O(2)' mod_dict['Gly->Cys[G]'] = 'G NORMAL 45.987721 45.987721 0 H(2)C(1)S(1)' mod_dict['Gly->Gln[G]'] = 'G NORMAL 71.037114 71.037114 0 H(5)C(3)N(1)O(1)' mod_dict['Gly->Glu[G]'] = 'G NORMAL 72.021129 72.021129 0 H(4)C(3)O(2)' mod_dict['Gly->His[G]'] = 'G NORMAL 80.037448 80.037448 0 H(4)C(4)N(2)' mod_dict['Gly->Lys[G]'] = 'G NORMAL 71.073499 71.073499 0 H(9)C(4)N(1)' mod_dict['Gly->Met[G]'] = 'G NORMAL 74.019021 74.019021 0 H(6)C(3)S(1)' mod_dict['Gly->Phe[G]'] = 'G NORMAL 90.046950 90.046950 0 H(6)C(7)' mod_dict['Gly->Pro[G]'] = 'G NORMAL 40.031300 40.031300 0 H(4)C(3)' mod_dict['Gly->Ser[G]'] = 'G NORMAL 30.010565 30.010565 0 H(2)C(1)O(1)' mod_dict['Gly->Thr[G]'] = 'G NORMAL 44.026215 44.026215 0 H(4)C(2)O(1)' mod_dict['Gly->Trp[G]'] = 'G NORMAL 129.057849 129.057849 0 H(7)C(9)N(1)' mod_dict['Gly->Tyr[G]'] = 'G NORMAL 106.041865 106.041865 0 H(6)C(7)O(1)' mod_dict['Gly->Val[G]'] = 'G NORMAL 42.046950 42.046950 0 H(6)C(3)' mod_dict['Gly->Xle[G]'] = 'G NORMAL 56.062600 56.062600 0 H(8)C(4)' mod_dict['Gly-loss+Amide[AnyC-termG]'] = 'G PEP_C -58.005479 -58.005479 0 H(-2)C(-2)O(-2)' mod_dict['GlyGly[S]'] = 'S NORMAL 114.042927 114.042927 0 H(6)C(4)N(2)O(2)' mod_dict['GlyGly[T]'] = 'T NORMAL 114.042927 114.042927 0 H(6)C(4)N(2)O(2)' mod_dict['Glycerophospho[S]'] = 'S NORMAL 154.003110 154.003110 0 H(7)C(3)O(5)P(1)' mod_dict['GlycerylPE[E]'] = 'E NORMAL 197.045310 197.045310 0 H(12)C(5)N(1)O(5)P(1)' mod_dict['Glycosyl[P]'] = 'P NORMAL 148.037173 148.037173 0 H(8)C(5)O(5)' mod_dict['Guanidinyl[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 42.021798 42.021798 0 H(2)C(1)N(2)' mod_dict['Guanidinyl[K]'] = 'K NORMAL 42.021798 42.021798 0 H(2)C(1)N(2)' mod_dict['HCysThiolactone[K]'] = 'K NORMAL 117.024835 117.024835 0 H(7)C(4)N(1)O(1)S(1)' mod_dict['HCysteinyl[C]'] = 'C NORMAL 133.019749 133.019749 0 H(7)C(4)N(1)O(2)S(1)' mod_dict['HMVK[C]'] = 'C NORMAL 86.036779 86.036779 0 H(6)C(4)O(2)' mod_dict['HN2_mustard[C]'] = 'C NORMAL 101.084064 101.084064 0 H(11)C(5)N(1)O(1)' mod_dict['HN2_mustard[H]'] = 'H NORMAL 101.084064 101.084064 0 H(11)C(5)N(1)O(1)' mod_dict['HN2_mustard[K]'] = 'K NORMAL 101.084064 101.084064 0 H(11)C(5)N(1)O(1)' mod_dict['HN3_mustard[C]'] = 'C NORMAL 131.094629 131.094629 0 H(13)C(6)N(1)O(2)' mod_dict['HN3_mustard[H]'] = 'H NORMAL 131.094629 131.094629 0 H(13)C(6)N(1)O(2)' mod_dict['HN3_mustard[K]'] = 'K NORMAL 131.094629 131.094629 0 H(13)C(6)N(1)O(2)' mod_dict['HNE+Delta_H(2)[C]'] = 'C NORMAL 158.130680 158.130680 0 H(18)C(9)O(2)' mod_dict['HNE+Delta_H(2)[H]'] = 'H NORMAL 158.130680 158.130680 0 H(18)C(9)O(2)' mod_dict['HNE+Delta_H(2)[K]'] = 'K NORMAL 158.130680 158.130680 0 H(18)C(9)O(2)' mod_dict['HNE-BAHAH[C]'] = 'C NORMAL 511.319226 511.319226 0 H(45)C(25)N(5)O(4)S(1)' mod_dict['HNE-BAHAH[H]'] = 'H NORMAL 511.319226 511.319226 0 H(45)C(25)N(5)O(4)S(1)' mod_dict['HNE-BAHAH[K]'] = 'K NORMAL 511.319226 511.319226 0 H(45)C(25)N(5)O(4)S(1)' mod_dict['HNE-Delta_H(2)O[C]'] = 'C NORMAL 138.104465 138.104465 0 H(14)C(9)O(1)' mod_dict['HNE-Delta_H(2)O[H]'] = 'H NORMAL 138.104465 138.104465 0 H(14)C(9)O(1)' mod_dict['HNE-Delta_H(2)O[K]'] = 'K NORMAL 138.104465 138.104465 0 H(14)C(9)O(1)' mod_dict['HNE[A]'] = 'A NORMAL 156.115030 156.115030 0 H(16)C(9)O(2)' mod_dict['HNE[C]'] = 'C NORMAL 156.115030 156.115030 0 H(16)C(9)O(2)' mod_dict['HNE[H]'] = 'H NORMAL 156.115030 156.115030 0 H(16)C(9)O(2)' mod_dict['HNE[K]'] = 'K NORMAL 156.115030 156.115030 0 H(16)C(9)O(2)' mod_dict['HNE[L]'] = 'L NORMAL 156.115030 156.115030 0 H(16)C(9)O(2)' mod_dict['HPG[R]'] = 'R NORMAL 132.021129 132.021129 0 H(4)C(8)O(2)' mod_dict['Heme[C]'] = 'C NORMAL 616.177295 616.177295 0 H(32)C(34)N(4)O(4)Fe(1)' mod_dict['Heme[H]'] = 'H NORMAL 616.177295 616.177295 0 H(32)C(34)N(4)O(4)Fe(1)' mod_dict['Hep[K]'] = 'K NORMAL 192.063388 192.063388 0 Hep(1)' mod_dict['Hep[N]'] = 'N NORMAL 192.063388 192.063388 0 Hep(1)' mod_dict['Hep[Q]'] = 'Q NORMAL 192.063388 192.063388 0 Hep(1)' mod_dict['Hep[R]'] = 'R NORMAL 192.063388 192.063388 0 Hep(1)' mod_dict['Hep[S]'] = 'S NORMAL 192.063388 192.063388 0 Hep(1)' mod_dict['Hep[T]'] = 'T NORMAL 192.063388 192.063388 0 Hep(1)' mod_dict['Hex(1)HexNAc(1)NeuAc(1)[N]'] = 'N NORMAL 656.227613 656.227613 0 Hex(1)HexNAc(1)NeuAc(1)' mod_dict['Hex(1)HexNAc(1)NeuAc(1)[S]'] = 'S NORMAL 656.227613 656.227613 0 Hex(1)HexNAc(1)NeuAc(1)' mod_dict['Hex(1)HexNAc(1)NeuAc(1)[T]'] = 'T NORMAL 656.227613 656.227613 0 Hex(1)HexNAc(1)NeuAc(1)' mod_dict['Hex(1)HexNAc(1)NeuAc(2)[N]'] = 'N NORMAL 947.323029 947.323029 0 Hex(1)HexNAc(1)NeuAc(2)' mod_dict['Hex(1)HexNAc(1)NeuAc(2)[S]'] = 'S NORMAL 947.323029 947.323029 0 Hex(1)HexNAc(1)NeuAc(2)' mod_dict['Hex(1)HexNAc(1)NeuAc(2)[T]'] = 'T NORMAL 947.323029 947.323029 0 Hex(1)HexNAc(1)NeuAc(2)' mod_dict['Hex(1)HexNAc(1)dHex(1)[N]'] = 'N NORMAL 511.190105 511.190105 0 dHex(1)Hex(1)HexNAc(1)' mod_dict['Hex(1)HexNAc(2)[N]'] = 'N NORMAL 568.211569 568.211569 0 Hex(1)HexNAc(2)' mod_dict['Hex(1)HexNAc(2)Pent(1)[N]'] = 'N NORMAL 700.253828 700.253828 0 Pent(1)Hex(1)HexNAc(2)' mod_dict['Hex(1)HexNAc(2)dHex(1)[N]'] = 'N NORMAL 714.269478 714.269478 0 dHex(1)Hex(1)HexNAc(2)' mod_dict['Hex(1)HexNAc(2)dHex(1)Pent(1)[N]'] = 'N NORMAL 846.311736 846.311736 0 Pent(1)dHex(1)Hex(1)HexNAc(2)' mod_dict['Hex(1)HexNAc(2)dHex(2)[N]'] = 'N NORMAL 860.327386 860.327386 0 dHex(2)Hex(1)HexNAc(2)' mod_dict['Hex(2)[K]'] = 'K NORMAL 324.105647 324.105647 0 Hex(2)' mod_dict['Hex(2)[R]'] = 'R NORMAL 324.105647 324.105647 0 Hex(2)' mod_dict['Hex(2)HexNAc(2)[N]'] = 'N NORMAL 730.264392 730.264392 0 Hex(2)HexNAc(2)' mod_dict['Hex(2)HexNAc(2)Pent(1)[N]'] = 'N NORMAL 862.306651 862.306651 0 Pent(1)Hex(2)HexNAc(2)' mod_dict['Hex(2)HexNAc(2)dHex(1)[N]'] = 'N NORMAL 876.322301 876.322301 0 dHex(1)Hex(2)HexNAc(2)' mod_dict['Hex(3)[N]'] = 'N NORMAL 486.158471 486.158471 0 Hex(3)' mod_dict['Hex(3)HexNAc(1)Pent(1)[N]'] = 'N NORMAL 821.280102 821.280102 0 Pent(1)Hex(3)HexNAc(1)' mod_dict['Hex(3)HexNAc(2)[N]'] = 'N NORMAL 892.317216 892.317216 0 Hex(3)HexNAc(2)' mod_dict['Hex(3)HexNAc(2)P(1)[N]'] = 'N NORMAL 923.290978 923.290978 0 P(1)Hex(3)HexNAc(2)' mod_dict['Hex(3)HexNAc(4)[N]'] = 'N NORMAL 1298.475961 1298.475961 0 Hex(3)HexNAc(4)' mod_dict['Hex(4)HexNAc(4)[N]'] = 'N NORMAL 1460.528784 1460.528784 0 Hex(4)HexNAc(4)' mod_dict['Hex(5)HexNAc(2)[N]'] = 'N NORMAL 1216.422863 1216.422863 0 Hex(5)HexNAc(2)' mod_dict['Hex(5)HexNAc(4)[N]'] = 'N NORMAL 1622.581608 1622.581608 0 Hex(5)HexNAc(4)' mod_dict['Hex[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 162.052824 162.052824 0 Hex(1)' mod_dict['Hex[C]'] = 'C NORMAL 162.052824 162.052824 0 Hex(1)' mod_dict['Hex[K]'] = 'K NORMAL 162.052824 162.052824 0 Hex(1)' mod_dict['Hex[N]'] = 'N NORMAL 162.052824 162.052824 0 Hex(1)' mod_dict['Hex[R]'] = 'R NORMAL 162.052824 162.052824 0 Hex(1)' mod_dict['Hex[S]'] = 'S NORMAL 162.052824 162.052824 0 Hex(1)' mod_dict['Hex[T]'] = 'T NORMAL 162.052824 162.052824 0 Hex(1)' mod_dict['Hex[W]'] = 'W NORMAL 162.052824 162.052824 0 Hex(1)' mod_dict['Hex[Y]'] = 'Y NORMAL 162.052824 162.052824 0 Hex(1)' mod_dict['Hex1HexNAc1[N]'] = 'N NORMAL 365.132196 365.132196 0 Hex(1)HexNAc(1)' mod_dict['Hex1HexNAc1[S]'] = 'S NORMAL 365.132196 365.132196 0 Hex(1)HexNAc(1)' mod_dict['Hex1HexNAc1[T]'] = 'T NORMAL 365.132196 365.132196 0 Hex(1)HexNAc(1)' mod_dict['HexN[K]'] = 'K NORMAL 161.068808 161.068808 0 H(11)C(6)N(1)O(4)' mod_dict['HexN[N]'] = 'N NORMAL 161.068808 161.068808 0 H(11)C(6)N(1)O(4)' mod_dict['HexN[T]'] = 'T NORMAL 161.068808 161.068808 0 H(11)C(6)N(1)O(4)' mod_dict['HexN[W]'] = 'W NORMAL 161.068808 161.068808 0 H(11)C(6)N(1)O(4)' mod_dict['HexNAc(1)dHex(1)[N]'] = 'N NORMAL 349.137281 349.137281 0 dHex(1)HexNAc(1)' mod_dict['HexNAc(1)dHex(2)[N]'] = 'N NORMAL 495.195190 495.195190 0 dHex(2)HexNAc(1)' mod_dict['HexNAc(2)[N]'] = 'N NORMAL 406.158745 406.158745 0 HexNAc(2)' mod_dict['HexNAc(2)dHex(1)[N]'] = 'N NORMAL 552.216654 552.216654 0 dHex(1)HexNAc(2)' mod_dict['HexNAc(2)dHex(2)[N]'] = 'N NORMAL 698.274563 698.274563 0 dHex(2)HexNAc(2)' mod_dict['HexNAc[N]'] = 'N NORMAL 203.079373 203.079373 0 HexNAc(1)' mod_dict['HexNAc[S]'] = 'S NORMAL 203.079373 203.079373 0 HexNAc(1)' mod_dict['HexNAc[T]'] = 'T NORMAL 203.079373 203.079373 0 HexNAc(1)' mod_dict['His->Ala[H]'] = 'H NORMAL -66.021798 -66.021798 0 H(-2)C(-3)N(-2)' mod_dict['His->Arg[H]'] = 'H NORMAL 19.042199 19.042199 0 H(5)N(1)' mod_dict['His->Asn[H]'] = 'H NORMAL -23.015984 -23.015984 0 H(-1)C(-2)N(-1)O(1)' mod_dict['His->Asp[H]'] = 'H NORMAL -22.031969 -22.031969 0 H(-2)C(-2)N(-2)O(2)' mod_dict['His->Cys[H]'] = 'H NORMAL -34.049727 -34.049727 0 H(-2)C(-3)N(-2)S(1)' mod_dict['His->Gln[H]'] = 'H NORMAL -9.000334 -9.000334 0 H(1)C(-1)N(-1)O(1)' mod_dict['His->Glu[H]'] = 'H NORMAL -8.016319 -8.016319 0 C(-1)N(-2)O(2)' mod_dict['His->Gly[H]'] = 'H NORMAL -80.037448 -80.037448 0 H(-4)C(-4)N(-2)' mod_dict['His->Lys[H]'] = 'H NORMAL -8.963949 -8.963949 0 H(5)N(-1)' mod_dict['His->Met[H]'] = 'H NORMAL -6.018427 -6.018427 0 H(2)C(-1)N(-2)S(1)' mod_dict['His->Phe[H]'] = 'H NORMAL 10.009502 10.009502 0 H(2)C(3)N(-2)' mod_dict['His->Pro[H]'] = 'H NORMAL -40.006148 -40.006148 0 C(-1)N(-2)' mod_dict['His->Ser[H]'] = 'H NORMAL -50.026883 -50.026883 0 H(-2)C(-3)N(-2)O(1)' mod_dict['His->Thr[H]'] = 'H NORMAL -36.011233 -36.011233 0 C(-2)N(-2)O(1)' mod_dict['His->Trp[H]'] = 'H NORMAL 49.020401 49.020401 0 H(3)C(5)N(-1)' mod_dict['His->Tyr[H]'] = 'H NORMAL 26.004417 26.004417 0 H(2)C(3)N(-2)O(1)' mod_dict['His->Val[H]'] = 'H NORMAL -37.990498 -37.990498 0 H(2)C(-1)N(-2)' mod_dict['His->Xle[H]'] = 'H NORMAL -23.974848 -23.974848 0 H(4)N(-2)' mod_dict['Homocysteic_acid[M]'] = 'M NORMAL 33.969094 33.969094 0 H(-2)C(-1)O(3)' mod_dict['Hydroxamic_acid[D]'] = 'D NORMAL 15.010899 15.010899 0 H(1)N(1)' mod_dict['Hydroxamic_acid[E]'] = 'E NORMAL 15.010899 15.010899 0 H(1)N(1)' mod_dict['Hydroxycinnamyl[C]'] = 'C NORMAL 146.036779 146.036779 0 H(6)C(9)O(2)' mod_dict['Hydroxyfarnesyl[C]'] = 'C NORMAL 220.182715 220.182715 0 H(24)C(15)O(1)' mod_dict['Hydroxyheme[E]'] = 'E NORMAL 614.161645 614.161645 0 H(30)C(34)N(4)O(4)Fe(1)' mod_dict['Hydroxymethyl[N]'] = 'N NORMAL 30.010565 30.010565 0 H(2)C(1)O(1)' mod_dict['HydroxymethylOP[K]'] = 'K NORMAL 108.021129 108.021129 0 H(4)C(6)O(2)' mod_dict['Hydroxytrimethyl[K]'] = 'K NORMAL 59.049690 59.049690 0 H(7)C(3)O(1)' mod_dict['Hypusine[K]'] = 'K NORMAL 87.068414 87.068414 0 H(9)C(4)N(1)O(1)' mod_dict['IBTP[C]'] = 'C NORMAL 316.138088 316.138088 0 H(21)C(22)P(1)' mod_dict['ICAT-C[C]'] = 'C NORMAL 227.126991 227.126991 0 H(17)C(10)N(3)O(3)' mod_dict['ICAT-C_13C(9)[C]'] = 'C NORMAL 236.157185 236.157185 0 H(17)C(1)13C(9)N(3)O(3)' mod_dict['ICAT-D[C]'] = 'C NORMAL 442.224991 442.224991 0 H(34)C(20)N(4)O(5)S(1)' mod_dict['ICAT-D_2H(8)[C]'] = 'C NORMAL 450.275205 450.275205 0 H(26)2H(8)C(20)N(4)O(5)S(1)' mod_dict['ICAT-G[C]'] = 'C NORMAL 486.251206 486.251206 0 H(38)C(22)N(4)O(6)S(1)' mod_dict['ICAT-G_2H(8)[C]'] = 'C NORMAL 494.301420 494.301420 0 H(30)2H(8)C(22)N(4)O(6)S(1)' mod_dict['ICAT-H[C]'] = 'C NORMAL 345.097915 345.097915 0 H(20)C(15)N(1)O(6)Cl(1)' mod_dict['ICAT-H_13C(6)[C]'] = 'C NORMAL 351.118044 351.118044 0 H(20)C(9)13C(6)N(1)O(6)Cl(1)' mod_dict['ICDID[C]'] = 'C NORMAL 138.068080 138.068080 0 H(10)C(8)O(2)' mod_dict['ICDID_2H(6)[C]'] = 'C NORMAL 144.105740 144.105740 0 H(4)2H(6)C(8)O(2)' mod_dict['ICPL[K]'] = 'K NORMAL 105.021464 105.021464 0 H(3)C(6)N(1)O(1)' mod_dict['ICPL[ProteinN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PRO_N 105.021464 105.021464 0 H(3)C(6)N(1)O(1)' mod_dict['ICPL_13C(6)[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 111.041593 111.041593 0 H(3)13C(6)N(1)O(1)' mod_dict['ICPL_13C(6)[K]'] = 'K NORMAL 111.041593 111.041593 0 H(3)13C(6)N(1)O(1)' mod_dict['ICPL_13C(6)[ProteinN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PRO_N 111.041593 111.041593 0 H(3)13C(6)N(1)O(1)' mod_dict['ICPL_13C(6)2H(4)[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 115.066700 115.066700 0 H(-1)2H(4)13C(6)N(1)O(1)' mod_dict['ICPL_13C(6)2H(4)[K]'] = 'K NORMAL 115.066700 115.066700 0 H(-1)2H(4)13C(6)N(1)O(1)' mod_dict['ICPL_13C(6)2H(4)[ProteinN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PRO_N 115.066700 115.066700 0 H(-1)2H(4)13C(6)N(1)O(1)' mod_dict['ICPL_2H(4)[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 109.046571 109.046571 0 H(-1)2H(4)C(6)N(1)O(1)' mod_dict['ICPL_2H(4)[K]'] = 'K NORMAL 109.046571 109.046571 0 H(-1)2H(4)C(6)N(1)O(1)' mod_dict['ICPL_2H(4)[ProteinN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PRO_N 109.046571 109.046571 0 H(-1)2H(4)C(6)N(1)O(1)' mod_dict['IDEnT[C]'] = 'C NORMAL 214.990469 214.990469 0 H(7)C(9)N(1)O(1)Cl(2)' mod_dict['IED-Biotin[C]'] = 'C NORMAL 326.141261 326.141261 0 H(22)C(14)N(4)O(3)S(1)' mod_dict['IGBP[C]'] = 'C NORMAL 296.016039 296.016039 0 H(13)C(12)N(2)O(2)Br(1)' mod_dict['IGBP_13C(2)[C]'] = 'C NORMAL 298.022748 298.022748 0 H(13)C(10)13C(2)N(2)O(2)Br(1)' mod_dict['IMEHex(2)NeuAc[K]'] = 'K NORMAL 688.199683 688.199683 0 H(3)C(2)N(1)S(1)Hex(2)NeuAc(1)' mod_dict['IMID[K]'] = 'K NORMAL 68.037448 68.037448 0 H(4)C(3)N(2)' mod_dict['IMID_2H(4)[K]'] = 'K NORMAL 72.062555 72.062555 0 2H(4)C(3)N(2)' mod_dict['ISD_z+2_ion[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N -15.010899 -15.010899 0 H(-1)N(-1)' mod_dict['Iminobiotin[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 225.093583 225.093583 0 H(15)C(10)N(3)O(1)S(1)' mod_dict['Iminobiotin[K]'] = 'K NORMAL 225.093583 225.093583 0 H(15)C(10)N(3)O(1)S(1)' mod_dict['Iodo[H]'] = 'H NORMAL 125.896648 125.896648 0 H(-1)I(1)' mod_dict['Iodo[Y]'] = 'Y NORMAL 125.896648 125.896648 0 H(-1)I(1)' mod_dict['IodoU-AMP[F]'] = 'F NORMAL 322.020217 322.020217 0 H(11)C(9)N(2)O(9)P(1)' mod_dict['IodoU-AMP[W]'] = 'W NORMAL 322.020217 322.020217 0 H(11)C(9)N(2)O(9)P(1)' mod_dict['IodoU-AMP[Y]'] = 'Y NORMAL 322.020217 322.020217 0 H(11)C(9)N(2)O(9)P(1)' mod_dict['Iodoacetanilide[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 133.052764 133.052764 0 H(7)C(8)N(1)O(1)' mod_dict['Iodoacetanilide[C]'] = 'C NORMAL 133.052764 133.052764 0 H(7)C(8)N(1)O(1)' mod_dict['Iodoacetanilide[K]'] = 'K NORMAL 133.052764 133.052764 0 H(7)C(8)N(1)O(1)' mod_dict['Iodoacetanilide_13C(6)[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 139.072893 139.072893 0 H(7)C(2)13C(6)N(1)O(1)' mod_dict['Iodoacetanilide_13C(6)[C]'] = 'C NORMAL 139.072893 139.072893 0 H(7)C(2)13C(6)N(1)O(1)' mod_dict['Iodoacetanilide_13C(6)[K]'] = 'K NORMAL 139.072893 139.072893 0 H(7)C(2)13C(6)N(1)O(1)' mod_dict['Isopropylphospho[S]'] = 'S NORMAL 122.013281 122.013281 0 H(7)C(3)O(3)P(1)' mod_dict['Isopropylphospho[T]'] = 'T NORMAL 122.013281 122.013281 0 H(7)C(3)O(3)P(1)' mod_dict['Isopropylphospho[Y]'] = 'Y NORMAL 122.013281 122.013281 0 H(7)C(3)O(3)P(1)' mod_dict['LG-Hlactam-K[K]'] = 'K NORMAL 348.193674 348.193674 0 H(28)C(20)O(5)' mod_dict['LG-Hlactam-K[ProteinN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PRO_N 348.193674 348.193674 0 H(28)C(20)O(5)' mod_dict['LG-Hlactam-R[R]'] = 'R NORMAL 306.171876 306.171876 0 H(26)C(19)N(-2)O(5)' mod_dict['LG-anhydrolactam[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 314.188195 314.188195 0 H(26)C(20)O(3)' mod_dict['LG-anhydrolactam[K]'] = 'K NORMAL 314.188195 314.188195 0 H(26)C(20)O(3)' mod_dict['LG-anhyropyrrole[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 298.193280 298.193280 0 H(26)C(20)O(2)' mod_dict['LG-anhyropyrrole[K]'] = 'K NORMAL 298.193280 298.193280 0 H(26)C(20)O(2)' mod_dict['LG-lactam-K[K]'] = 'K NORMAL 332.198760 332.198760 0 H(28)C(20)O(4)' mod_dict['LG-lactam-K[ProteinN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PRO_N 332.198760 332.198760 0 H(28)C(20)O(4)' mod_dict['LG-lactam-R[R]'] = 'R NORMAL 290.176961 290.176961 0 H(26)C(19)N(-2)O(4)' mod_dict['LG-pyrrole[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 316.203845 316.203845 0 H(28)C(20)O(3)' mod_dict['LG-pyrrole[K]'] = 'K NORMAL 316.203845 316.203845 0 H(28)C(20)O(3)' mod_dict['Label_13C(1)2H(3)+Oxidation[M]'] = 'M NORMAL 20.017100 20.017100 0 H(-3)2H(3)C(-1)13C(1)O(1)' mod_dict['Label_13C(1)2H(3)[M]'] = 'M NORMAL 4.022185 4.022185 0 H(-3)2H(3)C(-1)13C(1)' mod_dict['Label_13C(3)[A]'] = 'A NORMAL 3.010064 3.010064 0 C(-3)13C(3)' mod_dict['Label_13C(3)15N(1)[A]'] = 'A NORMAL 4.007099 4.007099 0 C(-3)13C(3)N(-1)15N(1)' mod_dict['Label_13C(4)+Oxidation[M]'] = 'M NORMAL 20.008334 20.008334 0 C(-4)13C(4)O(1)' mod_dict['Label_13C(4)[M]'] = 'M NORMAL 4.013419 4.013419 0 C(-4)13C(4)' mod_dict['Label_13C(4)15N(1)[D]'] = 'D NORMAL 5.010454 5.010454 0 C(-4)13C(4)N(-1)15N(1)' mod_dict['Label_13C(4)15N(2)+GlyGly[K]'] = 'K NORMAL 120.050417 120.050417 0 H(6)13C(4)15N(2)O(2)' mod_dict['Label_13C(5)[P]'] = 'P NORMAL 5.016774 5.016774 0 C(-5)13C(5)' mod_dict['Label_13C(5)15N(1)[E]'] = 'E NORMAL 6.013809 6.013809 0 C(-5)13C(5)N(-1)15N(1)' mod_dict['Label_13C(5)15N(1)[M]'] = 'M NORMAL 6.013809 6.013809 0 C(-5)13C(5)N(-1)15N(1)' mod_dict['Label_13C(5)15N(1)[P]'] = 'P NORMAL 6.013809 6.013809 0 C(-5)13C(5)N(-1)15N(1)' mod_dict['Label_13C(5)15N(1)[V]'] = 'V NORMAL 6.013809 6.013809 0 C(-5)13C(5)N(-1)15N(1)' mod_dict['Label_13C(6)+Acetyl[K]'] = 'K NORMAL 48.030694 48.030694 0 H(2)C(-4)13C(6)O(1)' mod_dict['Label_13C(6)+Dimethyl[K]'] = 'K NORMAL 34.051429 34.051429 0 H(4)C(-4)13C(6)' mod_dict['Label_13C(6)+GlyGly[K]'] = 'K NORMAL 120.063056 120.063056 0 H(6)C(-2)13C(6)N(2)O(2)' mod_dict['Label_13C(6)[I]'] = 'I NORMAL 6.020129 6.020129 0 C(-6)13C(6)' mod_dict['Label_13C(6)[K]'] = 'K NORMAL 6.020129 6.020129 0 C(-6)13C(6)' mod_dict['Label_13C(6)[L]'] = 'L NORMAL 6.020129 6.020129 0 C(-6)13C(6)' mod_dict['Label_13C(6)[R]'] = 'R NORMAL 6.020129 6.020129 0 C(-6)13C(6)' mod_dict['Label_13C(6)15N(1)[I]'] = 'I NORMAL 7.017164 7.017164 0 C(-6)13C(6)N(-1)15N(1)' mod_dict['Label_13C(6)15N(1)[L]'] = 'L NORMAL 7.017164 7.017164 0 C(-6)13C(6)N(-1)15N(1)' mod_dict['Label_13C(6)15N(2)+Acetyl[K]'] = 'K NORMAL 50.024764 50.024764 0 H(2)C(-4)13C(6)N(-2)15N(2)O(1)' mod_dict['Label_13C(6)15N(2)+Dimethyl[K]'] = 'K NORMAL 36.045499 36.045499 0 H(4)C(-4)13C(6)N(-2)15N(2)' mod_dict['Label_13C(6)15N(2)+GlyGly[K]'] = 'K NORMAL 122.057126 122.057126 0 H(6)C(-2)13C(6)15N(2)O(2)' mod_dict['Label_13C(6)15N(2)[K]'] = 'K NORMAL 8.014199 8.014199 0 C(-6)13C(6)N(-2)15N(2)' mod_dict['Label_13C(6)15N(2)[L]'] = 'L NORMAL 8.014199 8.014199 0 C(-6)13C(6)N(-2)15N(2)' mod_dict['Label_13C(6)15N(4)+Dimethyl[R]'] = 'R NORMAL 38.039569 38.039569 0 H(4)C(-4)13C(6)N(-4)15N(4)' mod_dict['Label_13C(6)15N(4)+Dimethyl_2H(6)13C(2)[R]'] = 'R NORMAL 46.083939 46.083939 0 H(-2)2H(6)C(-6)13C(8)N(-4)15N(4)' mod_dict['Label_13C(6)15N(4)+Methyl[R]'] = 'R NORMAL 24.023919 24.023919 0 H(2)C(-5)13C(6)N(-4)15N(4)' mod_dict['Label_13C(6)15N(4)+Methyl_2H(3)13C(1)[R]'] = 'R NORMAL 28.046104 28.046104 0 H(-1)2H(3)C(-6)13C(7)N(-4)15N(4)' mod_dict['Label_13C(6)15N(4)[R]'] = 'R NORMAL 10.008269 10.008269 0 C(-6)13C(6)N(-4)15N(4)' mod_dict['Label_13C(8)15N(2)[R]'] = 'R NORMAL 10.020909 10.020909 0 C(-8)13C(8)N(-2)15N(2)' mod_dict['Label_13C(9)+Phospho[Y]'] = 'Y NORMAL 88.996524 88.996524 0 H(1)C(-9)13C(9)O(3)P(1)' mod_dict['Label_13C(9)[F]'] = 'F NORMAL 9.030193 9.030193 0 C(-9)13C(9)' mod_dict['Label_13C(9)[Y]'] = 'Y NORMAL 9.030193 9.030193 0 C(-9)13C(9)' mod_dict['Label_13C(9)15N(1)[F]'] = 'F NORMAL 10.027228 10.027228 0 C(-9)13C(9)N(-1)15N(1)' mod_dict['Label_15N(1)[A]'] = 'A NORMAL 0.997035 0.997035 0 N(-1)15N(1)' mod_dict['Label_15N(1)[C]'] = 'C NORMAL 0.997035 0.997035 0 N(-1)15N(1)' mod_dict['Label_15N(1)[D]'] = 'D NORMAL 0.997035 0.997035 0 N(-1)15N(1)' mod_dict['Label_15N(1)[E]'] = 'E NORMAL 0.997035 0.997035 0 N(-1)15N(1)' mod_dict['Label_15N(1)[F]'] = 'F NORMAL 0.997035 0.997035 0 N(-1)15N(1)' mod_dict['Label_15N(1)[G]'] = 'G NORMAL 0.997035 0.997035 0 N(-1)15N(1)' mod_dict['Label_15N(1)[I]'] = 'I NORMAL 0.997035 0.997035 0 N(-1)15N(1)' mod_dict['Label_15N(1)[L]'] = 'L NORMAL 0.997035 0.997035 0 N(-1)15N(1)' mod_dict['Label_15N(1)[M]'] = 'M NORMAL 0.997035 0.997035 0 N(-1)15N(1)' mod_dict['Label_15N(1)[P]'] = 'P NORMAL 0.997035 0.997035 0 N(-1)15N(1)' mod_dict['Label_15N(1)[S]'] = 'S NORMAL 0.997035 0.997035 0 N(-1)15N(1)' mod_dict['Label_15N(1)[T]'] = 'T NORMAL 0.997035 0.997035 0 N(-1)15N(1)' mod_dict['Label_15N(1)[V]'] = 'V NORMAL 0.997035 0.997035 0 N(-1)15N(1)' mod_dict['Label_15N(1)[Y]'] = 'Y NORMAL 0.997035 0.997035 0 N(-1)15N(1)' mod_dict['Label_15N(2)[K]'] = 'K NORMAL 1.994070 1.994070 0 N(-2)15N(2)' mod_dict['Label_15N(2)[N]'] = 'N NORMAL 1.994070 1.994070 0 N(-2)15N(2)' mod_dict['Label_15N(2)[Q]'] = 'Q NORMAL 1.994070 1.994070 0 N(-2)15N(2)' mod_dict['Label_15N(2)[W]'] = 'W NORMAL 1.994070 1.994070 0 N(-2)15N(2)' mod_dict['Label_15N(2)2H(9)[K]'] = 'K NORMAL 11.050561 11.050561 0 H(-9)2H(9)N(-2)15N(2)' mod_dict['Label_15N(3)[H]'] = 'H NORMAL 2.991105 2.991105 0 N(-3)15N(3)' mod_dict['Label_15N(4)[R]'] = 'R NORMAL 3.988140 3.988140 0 N(-4)15N(4)' mod_dict['Label_18O(1)[AnyC-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_C 2.004246 2.004246 0 O(-1)18O(1)' mod_dict['Label_18O(1)[S]'] = 'S NORMAL 2.004246 2.004246 0 O(-1)18O(1)' mod_dict['Label_18O(1)[T]'] = 'T NORMAL 2.004246 2.004246 0 O(-1)18O(1)' mod_dict['Label_18O(1)[Y]'] = 'Y NORMAL 2.004246 2.004246 0 O(-1)18O(1)' mod_dict['Label_18O(2)[AnyC-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_C 4.008491 4.008491 0 O(-2)18O(2)' mod_dict['Label_2H(10)[L]'] = 'L NORMAL 10.062767 10.062767 0 H(-10)2H(10)' mod_dict['Label_2H(3)+Oxidation[M]'] = 'M NORMAL 19.013745 19.013745 0 H(-3)2H(3)O(1)' mod_dict['Label_2H(3)[L]'] = 'L NORMAL 3.018830 3.018830 0 H(-3)2H(3)' mod_dict['Label_2H(3)[M]'] = 'M NORMAL 3.018830 3.018830 0 H(-3)2H(3)' mod_dict['Label_2H(4)+Acetyl[K]'] = 'K NORMAL 46.035672 46.035672 0 H(-2)2H(4)C(2)O(1)' mod_dict['Label_2H(4)+GlyGly[K]'] = 'K NORMAL 118.068034 118.068034 0 H(2)2H(4)C(4)N(2)O(2)' mod_dict['Label_2H(4)[F]'] = 'F NORMAL 4.025107 4.025107 0 H(-4)2H(4)' mod_dict['Label_2H(4)[K]'] = 'K NORMAL 4.025107 4.025107 0 H(-4)2H(4)' mod_dict['Label_2H(4)[Y]'] = 'Y NORMAL 4.025107 4.025107 0 H(-4)2H(4)' mod_dict['Label_2H(4)13C(1)[R]'] = 'R NORMAL 5.028462 5.028462 0 H(-4)2H(4)C(-1)13C(1)' mod_dict['Label_2H(9)13C(6)15N(2)[K]'] = 'K NORMAL 17.070690 17.070690 0 H(-9)2H(9)C(-6)13C(6)N(-2)15N(2)' mod_dict['Leu->MetOx[L]'] = 'L NORMAL 33.951335 33.951335 0 H(-2)C(-1)O(1)S(1)' mod_dict['LeuArgGlyGly[K]'] = 'K NORMAL 383.228103 383.228103 0 H(29)C(16)N(7)O(4)' mod_dict['Lipoyl[K]'] = 'K NORMAL 188.032956 188.032956 0 H(12)C(8)O(1)S(2)' mod_dict['Lys->Ala[K]'] = 'K NORMAL -57.057849 -57.057849 0 H(-7)C(-3)N(-1)' mod_dict['Lys->Allysine[K]'] = 'K NORMAL -1.031634 -1.031634 0 H(-3)N(-1)O(1)' mod_dict['Lys->AminoadipicAcid[K]'] = 'K NORMAL 14.963280 14.963280 0 H(-3)N(-1)O(2)' mod_dict['Lys->Arg[K]'] = 'K NORMAL 28.006148 28.006148 0 N(2)' mod_dict['Lys->Asn[K]'] = 'K NORMAL -14.052036 -14.052036 0 H(-6)C(-2)O(1)' mod_dict['Lys->Asp[K]'] = 'K NORMAL -13.068020 -13.068020 0 H(-7)C(-2)N(-1)O(2)' mod_dict['Lys->CamCys[K]'] = 'K NORMAL 31.935685 31.935685 0 H(-4)C(-1)O(1)S(1)' mod_dict['Lys->Cys[K]'] = 'K NORMAL -25.085779 -25.085779 0 H(-7)C(-3)N(-1)S(1)' mod_dict['Lys->Gln[K]'] = 'K NORMAL -0.036386 -0.036386 0 H(-4)C(-1)O(1)' mod_dict['Lys->Glu[K]'] = 'K NORMAL 0.947630 0.947630 0 H(-5)C(-1)N(-1)O(2)' mod_dict['Lys->Gly[K]'] = 'K NORMAL -71.073499 -71.073499 0 H(-9)C(-4)N(-1)' mod_dict['Lys->His[K]'] = 'K NORMAL 8.963949 8.963949 0 H(-5)N(1)' mod_dict['Lys->Met[K]'] = 'K NORMAL 2.945522 2.945522 0 H(-3)C(-1)N(-1)S(1)' mod_dict['Lys->MetOx[K]'] = 'K NORMAL 18.940436 18.940436 0 H(-3)C(-1)N(-1)O(1)S(1)' mod_dict['Lys->Phe[K]'] = 'K NORMAL 18.973451 18.973451 0 H(-3)C(3)N(-1)' mod_dict['Lys->Pro[K]'] = 'K NORMAL -31.042199 -31.042199 0 H(-5)C(-1)N(-1)' mod_dict['Lys->Ser[K]'] = 'K NORMAL -41.062935 -41.062935 0 H(-7)C(-3)N(-1)O(1)' mod_dict['Lys->Thr[K]'] = 'K NORMAL -27.047285 -27.047285 0 H(-5)C(-2)N(-1)O(1)' mod_dict['Lys->Trp[K]'] = 'K NORMAL 57.984350 57.984350 0 H(-2)C(5)' mod_dict['Lys->Tyr[K]'] = 'K NORMAL 34.968366 34.968366 0 H(-3)C(3)N(-1)O(1)' mod_dict['Lys->Val[K]'] = 'K NORMAL -29.026549 -29.026549 0 H(-3)C(-1)N(-1)' mod_dict['Lys->Xle[K]'] = 'K NORMAL -15.010899 -15.010899 0 H(-1)N(-1)' mod_dict['Lys-loss[ProteinC-termK]'] = 'K PRO_C -128.094963 -128.094963 0 H(-12)C(-6)N(-2)O(-1)' mod_dict['Lys[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 128.094963 128.094963 0 H(12)C(6)N(2)O(1)' mod_dict['Lysbiotinhydrazide[K]'] = 'K NORMAL 241.088497 241.088497 0 H(15)C(10)N(3)O(2)S(1)' mod_dict['MDCC[C]'] = 'C NORMAL 383.148121 383.148121 0 H(21)C(20)N(3)O(5)' mod_dict['MG-H1[R]'] = 'R NORMAL 54.010565 54.010565 0 H(2)C(3)O(1)' mod_dict['MM-diphenylpentanone[C]'] = 'C NORMAL 265.146664 265.146664 0 H(19)C(18)N(1)O(1)' mod_dict['MTSL[C]'] = 'C NORMAL 184.079610 184.079610 0 H(14)C(9)N(1)O(1)S(1)' mod_dict['Maleimide-PEO2-Biotin[C]'] = 'C NORMAL 525.225719 525.225719 0 H(35)C(23)N(5)O(7)S(1)' mod_dict['Malonyl[C]'] = 'C NORMAL 86.000394 86.000394 0 H(2)C(3)O(3)' mod_dict['Malonyl[S]'] = 'S NORMAL 86.000394 86.000394 0 H(2)C(3)O(3)' mod_dict['Menadione-HQ[C]'] = 'C NORMAL 172.052430 172.052430 0 H(8)C(11)O(2)' mod_dict['Menadione-HQ[K]'] = 'K NORMAL 172.052430 172.052430 0 H(8)C(11)O(2)' mod_dict['Menadione[C]'] = 'C NORMAL 170.036779 170.036779 0 H(6)C(11)O(2)' mod_dict['Menadione[K]'] = 'K NORMAL 170.036779 170.036779 0 H(6)C(11)O(2)' mod_dict['MercaptoEthanol[S]'] = 'S NORMAL 60.003371 60.003371 0 H(4)C(2)S(1)' mod_dict['MercaptoEthanol[T]'] = 'T NORMAL 60.003371 60.003371 0 H(4)C(2)S(1)' mod_dict['Met->Aha[M]'] = 'M NORMAL -4.986324 -4.986324 0 H(-3)C(-1)N(3)S(-1)' mod_dict['Met->Ala[M]'] = 'M NORMAL -60.003371 -60.003371 0 H(-4)C(-2)S(-1)' mod_dict['Met->Arg[M]'] = 'M NORMAL 25.060626 25.060626 0 H(3)C(1)N(3)S(-1)' mod_dict['Met->Asn[M]'] = 'M NORMAL -16.997557 -16.997557 0 H(-3)C(-1)N(1)O(1)S(-1)' mod_dict['Met->Asp[M]'] = 'M NORMAL -16.013542 -16.013542 0 H(-4)C(-1)O(2)S(-1)' mod_dict['Met->Cys[M]'] = 'M NORMAL -28.031300 -28.031300 0 H(-4)C(-2)' mod_dict['Met->Gln[M]'] = 'M NORMAL -2.981907 -2.981907 0 H(-1)N(1)O(1)S(-1)' mod_dict['Met->Glu[M]'] = 'M NORMAL -1.997892 -1.997892 0 H(-2)O(2)S(-1)' mod_dict['Met->Gly[M]'] = 'M NORMAL -74.019021 -74.019021 0 H(-6)C(-3)S(-1)' mod_dict['Met->His[M]'] = 'M NORMAL 6.018427 6.018427 0 H(-2)C(1)N(2)S(-1)' mod_dict['Met->Hpg[M]'] = 'M NORMAL -21.987721 -21.987721 0 H(-2)C(1)S(-1)' mod_dict['Met->Hse[AnyC-termM]'] = 'M PEP_C -29.992806 -29.992806 0 H(-2)C(-1)O(1)S(-1)' mod_dict['Met->Hsl[AnyC-termM]'] = 'M PEP_C -48.003371 -48.003371 0 H(-4)C(-1)S(-1)' mod_dict['Met->Lys[M]'] = 'M NORMAL -2.945522 -2.945522 0 H(3)C(1)N(1)S(-1)' mod_dict['Met->Phe[M]'] = 'M NORMAL 16.027929 16.027929 0 C(4)S(-1)' mod_dict['Met->Pro[M]'] = 'M NORMAL -33.987721 -33.987721 0 H(-2)S(-1)' mod_dict['Met->Ser[M]'] = 'M NORMAL -44.008456 -44.008456 0 H(-4)C(-2)O(1)S(-1)' mod_dict['Met->Thr[M]'] = 'M NORMAL -29.992806 -29.992806 0 H(-2)C(-1)O(1)S(-1)' mod_dict['Met->Trp[M]'] = 'M NORMAL 55.038828 55.038828 0 H(1)C(6)N(1)S(-1)' mod_dict['Met->Tyr[M]'] = 'M NORMAL 32.022844 32.022844 0 C(4)O(1)S(-1)' mod_dict['Met->Val[M]'] = 'M NORMAL -31.972071 -31.972071 0 S(-1)' mod_dict['Met->Xle[M]'] = 'M NORMAL -17.956421 -17.956421 0 H(2)C(1)S(-1)' mod_dict['Met-loss+Acetyl[ProteinN-termM]'] = 'M PRO_N -89.029920 -89.029920 0 H(-7)C(-3)N(-1)S(-1)' mod_dict['Met-loss[ProteinN-termM]'] = 'M PRO_N -131.040485 -131.040485 0 H(-9)C(-5)N(-1)O(-1)S(-1)' mod_dict['Methyl+Acetyl_2H(3)[K]'] = 'K NORMAL 59.045045 59.045045 0 H(1)2H(3)C(3)O(1)' mod_dict['Methyl+Deamidated[N]'] = 'N NORMAL 14.999666 14.999666 0 H(1)C(1)N(-1)O(1)' mod_dict['Methyl+Deamidated[Q]'] = 'Q NORMAL 14.999666 14.999666 0 H(1)C(1)N(-1)O(1)' mod_dict['Methyl-PEO12-Maleimide[C]'] = 'C NORMAL 710.383719 710.383719 0 H(58)C(32)N(2)O(15)' mod_dict['Methyl[AnyC-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_C 14.015650 14.015650 0 H(2)C(1)' mod_dict['Methyl[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 14.015650 14.015650 0 H(2)C(1)' mod_dict['Methyl[C]'] = 'C NORMAL 14.015650 14.015650 0 H(2)C(1)' mod_dict['Methyl[D]'] = 'D NORMAL 14.015650 14.015650 0 H(2)C(1)' mod_dict['Methyl[E]'] = 'E NORMAL 14.015650 14.015650 0 H(2)C(1)' mod_dict['Methyl[H]'] = 'H NORMAL 14.015650 14.015650 0 H(2)C(1)' mod_dict['Methyl[I]'] = 'I NORMAL 14.015650 14.015650 0 H(2)C(1)' mod_dict['Methyl[K]'] = 'K NORMAL 14.015650 14.015650 0 H(2)C(1)' mod_dict['Methyl[L]'] = 'L NORMAL 14.015650 14.015650 0 H(2)C(1)' mod_dict['Methyl[N]'] = 'N NORMAL 14.015650 14.015650 0 H(2)C(1)' mod_dict['Methyl[Q]'] = 'Q NORMAL 14.015650 14.015650 0 H(2)C(1)' mod_dict['Methyl[R]'] = 'R NORMAL 14.015650 14.015650 0 H(2)C(1)' mod_dict['Methyl[S]'] = 'S NORMAL 14.015650 14.015650 0 H(2)C(1)' mod_dict['Methyl[T]'] = 'T NORMAL 14.015650 14.015650 0 H(2)C(1)' mod_dict['Methyl[ProteinN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PRO_N 14.015650 14.015650 0 H(2)C(1)' mod_dict['Methyl_2H(2)[K]'] = 'K NORMAL 16.028204 16.028204 0 2H(2)C(1)' mod_dict['Methyl_2H(3)+Acetyl_2H(3)[K]'] = 'K NORMAL 62.063875 62.063875 0 H(-2)2H(6)C(3)O(1)' mod_dict['Methyl_2H(3)[AnyC-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_C 17.034480 17.034480 0 H(-1)2H(3)C(1)' mod_dict['Methyl_2H(3)[D]'] = 'D NORMAL 17.034480 17.034480 0 H(-1)2H(3)C(1)' mod_dict['Methyl_2H(3)[E]'] = 'E NORMAL 17.034480 17.034480 0 H(-1)2H(3)C(1)' mod_dict['Methyl_2H(3)[K]'] = 'K NORMAL 17.034480 17.034480 0 H(-1)2H(3)C(1)' mod_dict['Methyl_2H(3)[R]'] = 'R NORMAL 17.034480 17.034480 0 H(-1)2H(3)C(1)' mod_dict['Methyl_2H(3)13C(1)[R]'] = 'R NORMAL 18.037835 18.037835 0 H(-1)2H(3)13C(1)' mod_dict['Methylamine[S]'] = 'S NORMAL 13.031634 13.031634 0 H(3)C(1)N(1)O(-1)' mod_dict['Methylamine[T]'] = 'T NORMAL 13.031634 13.031634 0 H(3)C(1)N(1)O(-1)' mod_dict['Methylmalonylation[S]'] = 'S NORMAL 100.016044 100.016044 0 H(4)C(4)O(3)' mod_dict['Methylphosphonate[S]'] = 'S NORMAL 77.987066 77.987066 0 H(3)C(1)O(2)P(1)' mod_dict['Methylphosphonate[T]'] = 'T NORMAL 77.987066 77.987066 0 H(3)C(1)O(2)P(1)' mod_dict['Methylphosphonate[Y]'] = 'Y NORMAL 77.987066 77.987066 0 H(3)C(1)O(2)P(1)' mod_dict['Methylpyrroline[K]'] = 'K NORMAL 109.052764 109.052764 0 H(7)C(6)N(1)O(1)' mod_dict['Methylthio[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 45.987721 45.987721 0 H(2)C(1)S(1)' mod_dict['Methylthio[C]'] = 'C NORMAL 45.987721 45.987721 0 H(2)C(1)S(1)' mod_dict['Methylthio[D]'] = 'D NORMAL 45.987721 45.987721 0 H(2)C(1)S(1)' mod_dict['Methylthio[K]'] = 'K NORMAL 45.987721 45.987721 0 H(2)C(1)S(1)' mod_dict['Methylthio[N]'] = 'N NORMAL 45.987721 45.987721 0 H(2)C(1)S(1)' mod_dict['Microcin[ProteinC-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PRO_C 831.197041 831.197041 0 H(37)C(36)N(3)O(20)' mod_dict['MicrocinC7[ProteinC-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PRO_C 386.110369 386.110369 0 H(19)C(13)N(6)O(6)P(1)' mod_dict['Molybdopterin[C]'] = 'C NORMAL 521.884073 521.884073 0 H(11)C(10)N(5)O(8)P(1)S(2)Mo(1)' mod_dict['MolybdopterinGD+Delta_S(-1)Se(1)[C]'] = 'C NORMAL 1620.930224 1620.930224 0 H(47)C(40)N(20)O(26)P(4)S(3)Se(1)Mo(1)' mod_dict['MolybdopterinGD[C]'] = 'C NORMAL 1572.985775 1572.985775 0 H(47)C(40)N(20)O(26)P(4)S(4)Mo(1)' mod_dict['MolybdopterinGD[D]'] = 'D NORMAL 1572.985775 1572.985775 0 H(47)C(40)N(20)O(26)P(4)S(4)Mo(1)' mod_dict['MurNAc[A]'] = 'A NORMAL 275.100502 275.100502 0 H(17)C(11)N(1)O(7)' mod_dict['Myristoleyl[ProteinN-termG]'] = 'G PRO_N 208.182715 208.182715 0 H(24)C(14)O(1)' mod_dict['Myristoyl+Delta_H(-4)[ProteinN-termG]'] = 'G PRO_N 206.167065 206.167065 0 H(22)C(14)O(1)' mod_dict['Myristoyl[AnyN-termG]'] = 'G PEP_N 210.198366 210.198366 0 H(26)C(14)O(1)' mod_dict['Myristoyl[C]'] = 'C NORMAL 210.198366 210.198366 0 H(26)C(14)O(1)' mod_dict['Myristoyl[K]'] = 'K NORMAL 210.198366 210.198366 0 H(26)C(14)O(1)' mod_dict['N-dimethylphosphate[S]'] = 'S NORMAL 107.013615 107.013615 0 H(6)C(2)N(1)O(2)P(1)' mod_dict['NA-LNO2[C]'] = 'C NORMAL 325.225309 325.225309 0 H(31)C(18)N(1)O(4)' mod_dict['NA-LNO2[H]'] = 'H NORMAL 325.225309 325.225309 0 H(31)C(18)N(1)O(4)' mod_dict['NA-OA-NO2[C]'] = 'C NORMAL 327.240959 327.240959 0 H(33)C(18)N(1)O(4)' mod_dict['NA-OA-NO2[H]'] = 'H NORMAL 327.240959 327.240959 0 H(33)C(18)N(1)O(4)' mod_dict['NBS[W]'] = 'W NORMAL 152.988449 152.988449 0 H(3)C(6)N(1)O(2)S(1)' mod_dict['NBS_13C(6)[W]'] = 'W NORMAL 159.008578 159.008578 0 H(3)13C(6)N(1)O(2)S(1)' mod_dict['NDA[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 175.042199 175.042199 0 H(5)C(13)N(1)' mod_dict['NDA[K]'] = 'K NORMAL 175.042199 175.042199 0 H(5)C(13)N(1)' mod_dict['NEIAA[C]'] = 'C NORMAL 85.052764 85.052764 0 H(7)C(4)N(1)O(1)' mod_dict['NEIAA[Y]'] = 'Y NORMAL 85.052764 85.052764 0 H(7)C(4)N(1)O(1)' mod_dict['NEIAA_2H(5)[C]'] = 'C NORMAL 90.084148 90.084148 0 H(2)2H(5)C(4)N(1)O(1)' mod_dict['NEIAA_2H(5)[Y]'] = 'Y NORMAL 90.084148 90.084148 0 H(2)2H(5)C(4)N(1)O(1)' mod_dict['NEM_2H(5)+H2O[C]'] = 'C NORMAL 148.089627 148.089627 0 H(4)2H(5)C(6)N(1)O(3)' mod_dict['NEM_2H(5)[C]'] = 'C NORMAL 130.079062 130.079062 0 H(2)2H(5)C(6)N(1)O(2)' mod_dict['NEMsulfur[C]'] = 'C NORMAL 157.019749 157.019749 0 H(7)C(6)N(1)O(2)S(1)' mod_dict['NEMsulfurWater[C]'] = 'C NORMAL 175.030314 175.030314 0 H(9)C(6)N(1)O(3)S(1)' mod_dict['NHS-LC-Biotin[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 339.161662 339.161662 0 H(25)C(16)N(3)O(3)S(1)' mod_dict['NHS-LC-Biotin[K]'] = 'K NORMAL 339.161662 339.161662 0 H(25)C(16)N(3)O(3)S(1)' mod_dict['NHS-fluorescein[K]'] = 'K NORMAL 471.131802 471.131802 0 H(21)C(27)N(1)O(7)' mod_dict['NIC[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 105.021464 105.021464 0 H(3)C(6)N(1)O(1)' mod_dict['NIPCAM[C]'] = 'C NORMAL 99.068414 99.068414 0 H(9)C(5)N(1)O(1)' mod_dict['NO_SMX_SEMD[C]'] = 'C NORMAL 252.044287 252.044287 0 H(10)C(10)N(3)O(3)S(1)' mod_dict['NO_SMX_SIMD[C]'] = 'C NORMAL 267.031377 267.031377 0 H(9)C(10)N(3)O(4)S(1)' mod_dict['NO_SMX_SMCT[C]'] = 'C NORMAL 268.039202 268.039202 0 H(10)C(10)N(3)O(4)S(1)' mod_dict['Nethylmaleimide+water[C]'] = 'C NORMAL 143.058243 143.058243 0 H(9)C(6)N(1)O(3)' mod_dict['Nethylmaleimide+water[K]'] = 'K NORMAL 143.058243 143.058243 0 H(9)C(6)N(1)O(3)' mod_dict['Nethylmaleimide[C]'] = 'C NORMAL 125.047679 125.047679 0 H(7)C(6)N(1)O(2)' mod_dict['NeuAc[N]'] = 'N NORMAL 291.095417 291.095417 0 NeuAc(1)' mod_dict['NeuAc[S]'] = 'S NORMAL 291.095417 291.095417 0 NeuAc(1)' mod_dict['NeuAc[T]'] = 'T NORMAL 291.095417 291.095417 0 NeuAc(1)' mod_dict['NeuGc[N]'] = 'N NORMAL 307.090331 307.090331 0 NeuGc(1)' mod_dict['NeuGc[S]'] = 'S NORMAL 307.090331 307.090331 0 NeuGc(1)' mod_dict['NeuGc[T]'] = 'T NORMAL 307.090331 307.090331 0 NeuGc(1)' mod_dict['Nitro[W]'] = 'W NORMAL 44.985078 44.985078 0 H(-1)N(1)O(2)' mod_dict['Nitro[Y]'] = 'Y NORMAL 44.985078 44.985078 0 H(-1)N(1)O(2)' mod_dict['Nitrosyl[C]'] = 'C NORMAL 28.990164 28.990164 0 H(-1)N(1)O(1)' mod_dict['Nmethylmaleimide+water[C]'] = 'C NORMAL 129.042593 129.042593 0 H(7)C(5)N(1)O(3)' mod_dict['Nmethylmaleimide[C]'] = 'C NORMAL 111.032028 111.032028 0 H(5)C(5)N(1)O(2)' mod_dict['Nmethylmaleimide[K]'] = 'K NORMAL 111.032028 111.032028 0 H(5)C(5)N(1)O(2)' mod_dict['O-Dimethylphosphate[S]'] = 'S NORMAL 107.997631 107.997631 0 H(5)C(2)O(3)P(1)' mod_dict['O-Dimethylphosphate[T]'] = 'T NORMAL 107.997631 107.997631 0 H(5)C(2)O(3)P(1)' mod_dict['O-Dimethylphosphate[Y]'] = 'Y NORMAL 107.997631 107.997631 0 H(5)C(2)O(3)P(1)' mod_dict['O-Et-N-diMePhospho[S]'] = 'S NORMAL 135.044916 135.044916 0 H(10)C(4)N(1)O(2)P(1)' mod_dict['O-Isopropylmethylphosphonate[S]'] = 'S NORMAL 120.034017 120.034017 0 H(9)C(4)O(2)P(1)' mod_dict['O-Isopropylmethylphosphonate[T]'] = 'T NORMAL 120.034017 120.034017 0 H(9)C(4)O(2)P(1)' mod_dict['O-Isopropylmethylphosphonate[Y]'] = 'Y NORMAL 120.034017 120.034017 0 H(9)C(4)O(2)P(1)' mod_dict['O-Methylphosphate[S]'] = 'S NORMAL 93.981981 93.981981 0 H(3)C(1)O(3)P(1)' mod_dict['O-Methylphosphate[T]'] = 'T NORMAL 93.981981 93.981981 0 H(3)C(1)O(3)P(1)' mod_dict['O-Methylphosphate[Y]'] = 'Y NORMAL 93.981981 93.981981 0 H(3)C(1)O(3)P(1)' mod_dict['O-pinacolylmethylphosphonate[H]'] = 'H NORMAL 162.080967 162.080967 0 H(15)C(7)O(2)P(1)' mod_dict['O-pinacolylmethylphosphonate[K]'] = 'K NORMAL 162.080967 162.080967 0 H(15)C(7)O(2)P(1)' mod_dict['O-pinacolylmethylphosphonate[S]'] = 'S NORMAL 162.080967 162.080967 0 H(15)C(7)O(2)P(1)' mod_dict['O-pinacolylmethylphosphonate[T]'] = 'T NORMAL 162.080967 162.080967 0 H(15)C(7)O(2)P(1)' mod_dict['O-pinacolylmethylphosphonate[Y]'] = 'Y NORMAL 162.080967 162.080967 0 H(15)C(7)O(2)P(1)' mod_dict['Octanoyl[C]'] = 'C NORMAL 126.104465 126.104465 0 H(14)C(8)O(1)' mod_dict['Octanoyl[S]'] = 'S NORMAL 126.104465 126.104465 0 H(14)C(8)O(1)' mod_dict['Octanoyl[T]'] = 'T NORMAL 126.104465 126.104465 0 H(14)C(8)O(1)' mod_dict['OxArgBiotin[R]'] = 'R NORMAL 310.135113 310.135113 0 H(22)C(15)N(2)O(3)S(1)' mod_dict['OxArgBiotinRed[R]'] = 'R NORMAL 312.150763 312.150763 0 H(24)C(15)N(2)O(3)S(1)' mod_dict['OxLysBiotin[K]'] = 'K NORMAL 352.156911 352.156911 0 H(24)C(16)N(4)O(3)S(1)' mod_dict['OxLysBiotinRed[K]'] = 'K NORMAL 354.172562 354.172562 0 H(26)C(16)N(4)O(3)S(1)' mod_dict['OxProBiotin[P]'] = 'P NORMAL 369.183461 369.183461 0 H(27)C(16)N(5)O(3)S(1)' mod_dict['OxProBiotinRed[P]'] = 'P NORMAL 371.199111 371.199111 0 H(29)C(16)N(5)O(3)S(1)' mod_dict['Oxidation+NEM[C]'] = 'C NORMAL 141.042593 141.042593 0 H(7)C(6)N(1)O(3)' mod_dict['Oxidation[AnyC-termG]'] = 'G PEP_C 15.994915 15.994915 0 O(1)' mod_dict['Oxidation[C]'] = 'C NORMAL 15.994915 15.994915 0 O(1)' mod_dict['Oxidation[D]'] = 'D NORMAL 15.994915 15.994915 0 O(1)' mod_dict['Oxidation[F]'] = 'F NORMAL 15.994915 15.994915 0 O(1)' mod_dict['Oxidation[H]'] = 'H NORMAL 15.994915 15.994915 0 O(1)' mod_dict['Oxidation[K]'] = 'K NORMAL 15.994915 15.994915 0 O(1)' mod_dict['Oxidation[M]'] = 'M NORMAL 15.994915 15.994915 1 63.998285 63.998285 O(1)' mod_dict['Oxidation[N]'] = 'N NORMAL 15.994915 15.994915 0 O(1)' mod_dict['Oxidation[P]'] = 'P NORMAL 15.994915 15.994915 0 O(1)' mod_dict['Oxidation[R]'] = 'R NORMAL 15.994915 15.994915 0 O(1)' mod_dict['Oxidation[W]'] = 'W NORMAL 15.994915 15.994915 0 O(1)' mod_dict['Oxidation[Y]'] = 'Y NORMAL 15.994915 15.994915 0 O(1)' mod_dict['PEITC[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 163.045570 163.045570 0 H(9)C(9)N(1)S(1)' mod_dict['PEITC[C]'] = 'C NORMAL 163.045570 163.045570 0 H(9)C(9)N(1)S(1)' mod_dict['PEITC[K]'] = 'K NORMAL 163.045570 163.045570 0 H(9)C(9)N(1)S(1)' mod_dict['PEO-Iodoacetyl-LC-Biotin[C]'] = 'C NORMAL 414.193691 414.193691 0 H(30)C(18)N(4)O(5)S(1)' mod_dict['PET[S]'] = 'S NORMAL 121.035005 121.035005 0 H(7)C(7)N(1)O(-1)S(1)' mod_dict['PET[T]'] = 'T NORMAL 121.035005 121.035005 0 H(7)C(7)N(1)O(-1)S(1)' mod_dict['PS_Hapten[C]'] = 'C NORMAL 120.021129 120.021129 0 H(4)C(7)O(2)' mod_dict['PS_Hapten[H]'] = 'H NORMAL 120.021129 120.021129 0 H(4)C(7)O(2)' mod_dict['PS_Hapten[K]'] = 'K NORMAL 120.021129 120.021129 0 H(4)C(7)O(2)' mod_dict['Palmitoleyl[C]'] = 'C NORMAL 236.214016 236.214016 0 H(28)C(16)O(1)' mod_dict['Palmitoleyl[S]'] = 'S NORMAL 236.214016 236.214016 0 H(28)C(16)O(1)' mod_dict['Palmitoleyl[T]'] = 'T NORMAL 236.214016 236.214016 0 H(28)C(16)O(1)' mod_dict['Palmitoyl[C]'] = 'C NORMAL 238.229666 238.229666 0 H(30)C(16)O(1)' mod_dict['Palmitoyl[K]'] = 'K NORMAL 238.229666 238.229666 0 H(30)C(16)O(1)' mod_dict['Palmitoyl[S]'] = 'S NORMAL 238.229666 238.229666 0 H(30)C(16)O(1)' mod_dict['Palmitoyl[T]'] = 'T NORMAL 238.229666 238.229666 0 H(30)C(16)O(1)' mod_dict['Palmitoyl[ProteinN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PRO_N 238.229666 238.229666 0 H(30)C(16)O(1)' mod_dict['Pentylamine[Q]'] = 'Q NORMAL 85.089149 85.089149 0 H(11)C(5)N(1)' mod_dict['Phe->Ala[F]'] = 'F NORMAL -76.031300 -76.031300 0 H(-4)C(-6)' mod_dict['Phe->Arg[F]'] = 'F NORMAL 9.032697 9.032697 0 H(3)C(-3)N(3)' mod_dict['Phe->Asn[F]'] = 'F NORMAL -33.025486 -33.025486 0 H(-3)C(-5)N(1)O(1)' mod_dict['Phe->Asp[F]'] = 'F NORMAL -32.041471 -32.041471 0 H(-4)C(-5)O(2)' mod_dict['Phe->CamCys[F]'] = 'F NORMAL 12.962234 12.962234 0 H(-1)C(-4)N(1)O(1)S(1)' mod_dict['Phe->Cys[F]'] = 'F NORMAL -44.059229 -44.059229 0 H(-4)C(-6)S(1)' mod_dict['Phe->Gln[F]'] = 'F NORMAL -19.009836 -19.009836 0 H(-1)C(-4)N(1)O(1)' mod_dict['Phe->Glu[F]'] = 'F NORMAL -18.025821 -18.025821 0 H(-2)C(-4)O(2)' mod_dict['Phe->Gly[F]'] = 'F NORMAL -90.046950 -90.046950 0 H(-6)C(-7)' mod_dict['Phe->His[F]'] = 'F NORMAL -10.009502 -10.009502 0 H(-2)C(-3)N(2)' mod_dict['Phe->Lys[F]'] = 'F NORMAL -18.973451 -18.973451 0 H(3)C(-3)N(1)' mod_dict['Phe->Met[F]'] = 'F NORMAL -16.027929 -16.027929 0 C(-4)S(1)' mod_dict['Phe->Pro[F]'] = 'F NORMAL -50.015650 -50.015650 0 H(-2)C(-4)' mod_dict['Phe->Ser[F]'] = 'F NORMAL -60.036386 -60.036386 0 H(-4)C(-6)O(1)' mod_dict['Phe->Thr[F]'] = 'F NORMAL -46.020735 -46.020735 0 H(-2)C(-5)O(1)' mod_dict['Phe->Trp[F]'] = 'F NORMAL 39.010899 39.010899 0 H(1)C(2)N(1)' mod_dict['Phe->Val[F]'] = 'F NORMAL -48.000000 -48.000000 0 C(-4)' mod_dict['Phe->Xle[F]'] = 'F NORMAL -33.984350 -33.984350 0 H(2)C(-3)' mod_dict['Phenylisocyanate_2H(5)[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 124.068498 124.068498 0 2H(5)C(7)N(1)O(1)' mod_dict['Phospho[C]'] = 'C NORMAL 79.966331 79.966331 0 H(1)O(3)P(1)' mod_dict['Phospho[D]'] = 'D NORMAL 79.966331 79.966331 0 H(1)O(3)P(1)' mod_dict['Phospho[H]'] = 'H NORMAL 79.966331 79.966331 0 H(1)O(3)P(1)' mod_dict['Phospho[K]'] = 'K NORMAL 79.966331 79.966331 0 H(1)O(3)P(1)' mod_dict['Phospho[R]'] = 'R NORMAL 79.966331 79.966331 0 H(1)O(3)P(1)' mod_dict['Phospho[S]'] = 'S NORMAL 79.966331 79.966331 1 97.976896 97.976896 H(1)O(3)P(1)' mod_dict['Phospho[T]'] = 'T NORMAL 79.966331 79.966331 1 97.976896 97.976896 H(1)O(3)P(1)' mod_dict['Phospho[Y]'] = 'Y NORMAL 79.966331 79.966331 0 H(1)O(3)P(1)' mod_dict['PhosphoHex[S]'] = 'S NORMAL 242.019154 242.019154 0 H(1)O(3)P(1)Hex(1)' mod_dict['PhosphoHexNAc[S]'] = 'S NORMAL 283.045704 283.045704 0 H(1)O(3)P(1)HexNAc(1)' mod_dict['PhosphoHexNAc[T]'] = 'T NORMAL 283.045704 283.045704 0 H(1)O(3)P(1)HexNAc(1)' mod_dict['PhosphoUridine[H]'] = 'H NORMAL 306.025302 306.025302 0 H(11)C(9)N(2)O(8)P(1)' mod_dict['PhosphoUridine[Y]'] = 'Y NORMAL 306.025302 306.025302 0 H(11)C(9)N(2)O(8)P(1)' mod_dict['Phosphoadenosine[H]'] = 'H NORMAL 329.052520 329.052520 0 H(12)C(10)N(5)O(6)P(1)' mod_dict['Phosphoadenosine[K]'] = 'K NORMAL 329.052520 329.052520 0 H(12)C(10)N(5)O(6)P(1)' mod_dict['Phosphoadenosine[T]'] = 'T NORMAL 329.052520 329.052520 0 H(12)C(10)N(5)O(6)P(1)' mod_dict['Phosphoadenosine[Y]'] = 'Y NORMAL 329.052520 329.052520 0 H(12)C(10)N(5)O(6)P(1)' mod_dict['Phosphogluconoylation[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 258.014069 258.014069 0 H(11)C(6)O(9)P(1)' mod_dict['Phosphogluconoylation[K]'] = 'K NORMAL 258.014069 258.014069 0 H(11)C(6)O(9)P(1)' mod_dict['Phosphoguanosine[H]'] = 'H NORMAL 345.047435 345.047435 0 H(12)C(10)N(5)O(7)P(1)' mod_dict['Phosphoguanosine[K]'] = 'K NORMAL 345.047435 345.047435 0 H(12)C(10)N(5)O(7)P(1)' mod_dict['Phosphopantetheine[S]'] = 'S NORMAL 340.085794 340.085794 0 H(21)C(11)N(2)O(6)P(1)S(1)' mod_dict['Phosphopropargyl[S]'] = 'S NORMAL 116.997965 116.997965 0 H(4)C(3)N(1)O(2)P(1)' mod_dict['Phosphopropargyl[T]'] = 'T NORMAL 116.997965 116.997965 0 H(4)C(3)N(1)O(2)P(1)' mod_dict['Phosphopropargyl[Y]'] = 'Y NORMAL 116.997965 116.997965 0 H(4)C(3)N(1)O(2)P(1)' mod_dict['PhosphoribosyldephosphoCoA[S]'] = 'S NORMAL 881.146904 881.146904 0 H(42)C(26)N(7)O(19)P(3)S(1)' mod_dict['Phycocyanobilin[C]'] = 'C NORMAL 586.279135 586.279135 0 H(38)C(33)N(4)O(6)' mod_dict['Phycoerythrobilin[C]'] = 'C NORMAL 588.294785 588.294785 0 H(40)C(33)N(4)O(6)' mod_dict['Phytochromobilin[C]'] = 'C NORMAL 584.263485 584.263485 0 H(36)C(33)N(4)O(6)' mod_dict['Piperidine[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 68.062600 68.062600 0 H(8)C(5)' mod_dict['Piperidine[K]'] = 'K NORMAL 68.062600 68.062600 0 H(8)C(5)' mod_dict['Pro->Ala[P]'] = 'P NORMAL -26.015650 -26.015650 0 H(-2)C(-2)' mod_dict['Pro->Arg[P]'] = 'P NORMAL 59.048347 59.048347 0 H(5)C(1)N(3)' mod_dict['Pro->Asn[P]'] = 'P NORMAL 16.990164 16.990164 0 H(-1)C(-1)N(1)O(1)' mod_dict['Pro->Asp[P]'] = 'P NORMAL 17.974179 17.974179 0 H(-2)C(-1)O(2)' mod_dict['Pro->Cys[P]'] = 'P NORMAL 5.956421 5.956421 0 H(-2)C(-2)S(1)' mod_dict['Pro->Gln[P]'] = 'P NORMAL 31.005814 31.005814 0 H(1)N(1)O(1)' mod_dict['Pro->Gly[P]'] = 'P NORMAL -40.031300 -40.031300 0 H(-4)C(-3)' mod_dict['Pro->His[P]'] = 'P NORMAL 40.006148 40.006148 0 C(1)N(2)' mod_dict['Pro->Lys[P]'] = 'P NORMAL 31.042199 31.042199 0 H(5)C(1)N(1)' mod_dict['Pro->Met[P]'] = 'P NORMAL 33.987721 33.987721 0 H(2)S(1)' mod_dict['Pro->Phe[P]'] = 'P NORMAL 50.015650 50.015650 0 H(2)C(4)' mod_dict['Pro->Pyrrolidinone[P]'] = 'P NORMAL -30.010565 -30.010565 0 H(-2)C(-1)O(-1)' mod_dict['Pro->Pyrrolidone[P]'] = 'P NORMAL -27.994915 -27.994915 0 C(-1)O(-1)' mod_dict['Pro->Ser[P]'] = 'P NORMAL -10.020735 -10.020735 0 H(-2)C(-2)O(1)' mod_dict['Pro->Thr[P]'] = 'P NORMAL 3.994915 3.994915 0 C(-1)O(1)' mod_dict['Pro->Trp[P]'] = 'P NORMAL 89.026549 89.026549 0 H(3)C(6)N(1)' mod_dict['Pro->Tyr[P]'] = 'P NORMAL 66.010565 66.010565 0 H(2)C(4)O(1)' mod_dict['Pro->Val[P]'] = 'P NORMAL 2.015650 2.015650 0 H(2)' mod_dict['Pro->Xle[P]'] = 'P NORMAL 16.031300 16.031300 0 H(4)C(1)' mod_dict['Pro->pyro-Glu[P]'] = 'P NORMAL 13.979265 13.979265 0 H(-2)O(1)' mod_dict['Propargylamine[AnyC-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_C 37.031634 37.031634 0 H(3)C(3)N(1)O(-1)' mod_dict['Propargylamine[D]'] = 'D NORMAL 37.031634 37.031634 0 H(3)C(3)N(1)O(-1)' mod_dict['Propargylamine[E]'] = 'E NORMAL 37.031634 37.031634 0 H(3)C(3)N(1)O(-1)' mod_dict['Propionamide[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 71.037114 71.037114 0 H(5)C(3)N(1)O(1)' mod_dict['Propionamide[C]'] = 'C NORMAL 71.037114 71.037114 0 H(5)C(3)N(1)O(1)' mod_dict['Propionamide[K]'] = 'K NORMAL 71.037114 71.037114 0 H(5)C(3)N(1)O(1)' mod_dict['Propionamide_2H(3)[C]'] = 'C NORMAL 74.055944 74.055944 0 H(2)2H(3)C(3)N(1)O(1)' mod_dict['Propionyl[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 56.026215 56.026215 0 H(4)C(3)O(1)' mod_dict['Propionyl[K]'] = 'K NORMAL 56.026215 56.026215 0 H(4)C(3)O(1)' mod_dict['Propionyl[S]'] = 'S NORMAL 56.026215 56.026215 0 H(4)C(3)O(1)' mod_dict['Propionyl[T]'] = 'T NORMAL 56.026215 56.026215 0 H(4)C(3)O(1)' mod_dict['Propionyl[ProteinN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PRO_N 56.026215 56.026215 0 H(4)C(3)O(1)' mod_dict['Propionyl_13C(3)[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 59.036279 59.036279 0 H(4)13C(3)O(1)' mod_dict['Propionyl_13C(3)[K]'] = 'K NORMAL 59.036279 59.036279 0 H(4)13C(3)O(1)' mod_dict['Propiophenone[C]'] = 'C NORMAL 132.057515 132.057515 0 H(8)C(9)O(1)' mod_dict['Propiophenone[H]'] = 'H NORMAL 132.057515 132.057515 0 H(8)C(9)O(1)' mod_dict['Propiophenone[K]'] = 'K NORMAL 132.057515 132.057515 0 H(8)C(9)O(1)' mod_dict['Propiophenone[R]'] = 'R NORMAL 132.057515 132.057515 0 H(8)C(9)O(1)' mod_dict['Propiophenone[S]'] = 'S NORMAL 132.057515 132.057515 0 H(8)C(9)O(1)' mod_dict['Propiophenone[T]'] = 'T NORMAL 132.057515 132.057515 0 H(8)C(9)O(1)' mod_dict['Propiophenone[W]'] = 'W NORMAL 132.057515 132.057515 0 H(8)C(9)O(1)' mod_dict['Propyl[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 42.046950 42.046950 0 H(6)C(3)' mod_dict['Propyl[K]'] = 'K NORMAL 42.046950 42.046950 0 H(6)C(3)' mod_dict['PropylNAGthiazoline[C]'] = 'C NORMAL 232.064354 232.064354 0 H(14)C(9)N(1)O(4)S(1)' mod_dict['Propyl_2H(6)[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 48.084611 48.084611 0 2H(6)C(3)' mod_dict['Propyl_2H(6)[K]'] = 'K NORMAL 48.084611 48.084611 0 2H(6)C(3)' mod_dict['Puromycin[AnyC-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_C 453.212452 453.212452 0 H(27)C(22)N(7)O(4)' mod_dict['PyMIC[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 134.048013 134.048013 0 H(6)C(7)N(2)O(1)' mod_dict['PyridoxalPhosphate[K]'] = 'K NORMAL 229.014009 229.014009 0 H(8)C(8)N(1)O(5)P(1)' mod_dict['PyridoxalPhosphateH2[K]'] = 'K NORMAL 231.029660 231.029660 0 H(10)C(8)N(1)O(5)P(1)' mod_dict['Pyridylacetyl[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 119.037114 119.037114 0 H(5)C(7)N(1)O(1)' mod_dict['Pyridylacetyl[K]'] = 'K NORMAL 119.037114 119.037114 0 H(5)C(7)N(1)O(1)' mod_dict['Pyridylethyl[C]'] = 'C NORMAL 105.057849 105.057849 0 H(7)C(7)N(1)' mod_dict['Pyro-carbamidomethyl[AnyN-termC]'] = 'C PEP_N 39.994915 39.994915 0 C(2)O(1)' mod_dict['PyruvicAcidIminyl[K]'] = 'K NORMAL 70.005479 70.005479 0 H(2)C(3)O(2)' mod_dict['PyruvicAcidIminyl[ProteinN-termC]'] = 'C PRO_N 70.005479 70.005479 0 H(2)C(3)O(2)' mod_dict['PyruvicAcidIminyl[ProteinN-termV]'] = 'V PRO_N 70.005479 70.005479 0 H(2)C(3)O(2)' mod_dict['QAT[C]'] = 'C NORMAL 171.149738 171.149738 0 H(19)C(9)N(2)O(1)' mod_dict['QAT_2H(3)[C]'] = 'C NORMAL 174.168569 174.168569 0 H(16)2H(3)C(9)N(2)O(1)' mod_dict['QEQTGG[K]'] = 'K NORMAL 600.250354 600.250354 0 H(36)C(23)N(8)O(11)' mod_dict['QQQTGG[K]'] = 'K NORMAL 599.266339 599.266339 0 H(37)C(23)N(9)O(10)' mod_dict['QTGG[K]'] = 'K NORMAL 343.149184 343.149184 0 H(21)C(13)N(5)O(6)' mod_dict['Quinone[W]'] = 'W NORMAL 29.974179 29.974179 0 H(-2)O(2)' mod_dict['Quinone[Y]'] = 'Y NORMAL 29.974179 29.974179 0 H(-2)O(2)' mod_dict['Retinylidene[K]'] = 'K NORMAL 266.203451 266.203451 0 H(26)C(20)' mod_dict['SMA[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 127.063329 127.063329 0 H(9)C(6)N(1)O(2)' mod_dict['SMA[K]'] = 'K NORMAL 127.063329 127.063329 0 H(9)C(6)N(1)O(2)' mod_dict['SMCC-maleimide[C]'] = 'C NORMAL 321.205242 321.205242 0 H(27)C(17)N(3)O(3)' mod_dict['SPITC[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 214.971084 214.971084 0 H(5)C(7)N(1)O(3)S(2)' mod_dict['SPITC[K]'] = 'K NORMAL 214.971084 214.971084 0 H(5)C(7)N(1)O(3)S(2)' mod_dict['SPITC_13C(6)[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 220.991213 220.991213 0 H(5)C(1)13C(6)N(1)O(3)S(2)' mod_dict['SPITC_13C(6)[K]'] = 'K NORMAL 220.991213 220.991213 0 H(5)C(1)13C(6)N(1)O(3)S(2)' mod_dict['SUMO2135[K]'] = 'K NORMAL 2135.920496 2135.920496 0 H(137)C(90)N(21)O(37)S(1)' mod_dict['SUMO3549[K]'] = 'K NORMAL 3549.536568 3549.536568 0 H(224)C(150)N(38)O(60)S(1)' mod_dict['Saligenin[H]'] = 'H NORMAL 106.041865 106.041865 0 H(6)C(7)O(1)' mod_dict['Saligenin[K]'] = 'K NORMAL 106.041865 106.041865 0 H(6)C(7)O(1)' mod_dict['SecCarbamidomethyl[C]'] = 'C NORMAL 104.965913 104.965913 0 H(3)C(2)N(1)O(1)S(-1)Se(1)' mod_dict['SecNEM[C]'] = 'C NORMAL 172.992127 172.992127 0 H(7)C(6)N(1)O(2)S(-1)Se(1)' mod_dict['SecNEM_2H(5)[C]'] = 'C NORMAL 178.023511 178.023511 0 H(2)2H(5)C(6)N(1)O(2)S(-1)Se(1)' mod_dict['Ser->Arg[S]'] = 'S NORMAL 69.069083 69.069083 0 H(7)C(3)N(3)O(-1)' mod_dict['Ser->Asn[S]'] = 'S NORMAL 27.010899 27.010899 0 H(1)C(1)N(1)' mod_dict['Ser->Cys[S]'] = 'S NORMAL 15.977156 15.977156 0 O(-1)S(1)' mod_dict['Ser->Gln[S]'] = 'S NORMAL 41.026549 41.026549 0 H(3)C(2)N(1)' mod_dict['Ser->Gly[S]'] = 'S NORMAL -30.010565 -30.010565 0 H(-2)C(-1)O(-1)' mod_dict['Ser->His[S]'] = 'S NORMAL 50.026883 50.026883 0 H(2)C(3)N(2)O(-1)' mod_dict['Ser->LacticAcid[ProteinN-termS]'] = 'S PRO_N -15.010899 -15.010899 0 H(-1)N(-1)' mod_dict['Ser->Lys[S]'] = 'S NORMAL 41.062935 41.062935 0 H(7)C(3)N(1)O(-1)' mod_dict['Ser->Phe[S]'] = 'S NORMAL 60.036386 60.036386 0 H(4)C(6)O(-1)' mod_dict['Ser->Pro[S]'] = 'S NORMAL 10.020735 10.020735 0 H(2)C(2)O(-1)' mod_dict['Ser->Trp[S]'] = 'S NORMAL 99.047285 99.047285 0 H(5)C(8)N(1)O(-1)' mod_dict['Ser->Tyr[S]'] = 'S NORMAL 76.031300 76.031300 0 H(4)C(6)' mod_dict['Ser->Val[S]'] = 'S NORMAL 12.036386 12.036386 0 H(4)C(2)O(-1)' mod_dict['Ser->Xle[S]'] = 'S NORMAL 26.052036 26.052036 0 H(6)C(3)O(-1)' mod_dict['Succinyl[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 100.016044 100.016044 0 H(4)C(4)O(3)' mod_dict['Succinyl[K]'] = 'K NORMAL 100.016044 100.016044 0 H(4)C(4)O(3)' mod_dict['Succinyl[ProteinN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PRO_N 100.016044 100.016044 0 H(4)C(4)O(3)' mod_dict['Succinyl_13C(4)[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 104.029463 104.029463 0 H(4)13C(4)O(3)' mod_dict['Succinyl_13C(4)[K]'] = 'K NORMAL 104.029463 104.029463 0 H(4)13C(4)O(3)' mod_dict['Succinyl_2H(4)[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 104.041151 104.041151 0 2H(4)C(4)O(3)' mod_dict['Succinyl_2H(4)[K]'] = 'K NORMAL 104.041151 104.041151 0 2H(4)C(4)O(3)' mod_dict['SulfanilicAcid[AnyC-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_C 155.004099 155.004099 0 H(5)C(6)N(1)O(2)S(1)' mod_dict['SulfanilicAcid[D]'] = 'D NORMAL 155.004099 155.004099 0 H(5)C(6)N(1)O(2)S(1)' mod_dict['SulfanilicAcid[E]'] = 'E NORMAL 155.004099 155.004099 0 H(5)C(6)N(1)O(2)S(1)' mod_dict['SulfanilicAcid_13C(6)[AnyC-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_C 161.024228 161.024228 0 H(5)13C(6)N(1)O(2)S(1)' mod_dict['SulfanilicAcid_13C(6)[D]'] = 'D NORMAL 161.024228 161.024228 0 H(5)13C(6)N(1)O(2)S(1)' mod_dict['SulfanilicAcid_13C(6)[E]'] = 'E NORMAL 161.024228 161.024228 0 H(5)13C(6)N(1)O(2)S(1)' mod_dict['Sulfide[C]'] = 'C NORMAL 31.972071 31.972071 0 S(1)' mod_dict['Sulfide[D]'] = 'D NORMAL 31.972071 31.972071 0 S(1)' mod_dict['Sulfide[W]'] = 'W NORMAL 31.972071 31.972071 0 S(1)' mod_dict['Sulfo-NHS-LC-LC-Biotin[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 452.245726 452.245726 0 H(36)C(22)N(4)O(4)S(1)' mod_dict['Sulfo-NHS-LC-LC-Biotin[K]'] = 'K NORMAL 452.245726 452.245726 0 H(36)C(22)N(4)O(4)S(1)' mod_dict['Sulfo[C]'] = 'C NORMAL 79.956815 79.956815 0 O(3)S(1)' mod_dict['Sulfo[S]'] = 'S NORMAL 79.956815 79.956815 1 79.956815 79.956815 O(3)S(1)' mod_dict['Sulfo[T]'] = 'T NORMAL 79.956815 79.956815 1 79.956815 79.956815 O(3)S(1)' mod_dict['Sulfo[Y]'] = 'Y NORMAL 79.956815 79.956815 1 79.956815 79.956815 O(3)S(1)' mod_dict['SulfoGMBS[C]'] = 'C NORMAL 458.162391 458.162391 0 H(26)C(22)N(4)O(5)S(1)' mod_dict['SulfurDioxide[C]'] = 'C NORMAL 63.961900 63.961900 0 O(2)S(1)' mod_dict['TAMRA-FP[S]'] = 'S NORMAL 659.312423 659.312423 0 H(46)C(37)N(3)O(6)P(1)' mod_dict['TAMRA-FP[Y]'] = 'Y NORMAL 659.312423 659.312423 0 H(46)C(37)N(3)O(6)P(1)' mod_dict['TMAB[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 128.107539 128.107539 1 59.073499 59.073499 H(14)C(7)N(1)O(1)' mod_dict['TMAB[K]'] = 'K NORMAL 128.107539 128.107539 1 59.073499 59.073499 H(14)C(7)N(1)O(1)' mod_dict['TMAB_2H(9)[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 137.164030 137.164030 1 68.129990 68.129990 H(5)2H(9)C(7)N(1)O(1)' mod_dict['TMAB_2H(9)[K]'] = 'K NORMAL 137.164030 137.164030 1 68.129990 68.129990 H(5)2H(9)C(7)N(1)O(1)' mod_dict['TMPP-Ac[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 572.181134 572.181134 0 H(33)C(29)O(10)P(1)' mod_dict['TMT[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 224.152478 224.152478 0 H(20)C(12)N(2)O(2)' mod_dict['TMT[H]'] = 'H NORMAL 224.152478 224.152478 0 H(20)C(12)N(2)O(2)' mod_dict['TMT[K]'] = 'K NORMAL 224.152478 224.152478 0 H(20)C(12)N(2)O(2)' mod_dict['TMT[S]'] = 'S NORMAL 224.152478 224.152478 0 H(20)C(12)N(2)O(2)' mod_dict['TMT[T]'] = 'T NORMAL 224.152478 224.152478 0 H(20)C(12)N(2)O(2)' mod_dict['TMT[ProteinN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PRO_N 224.152478 224.152478 0 H(20)C(12)N(2)O(2)' mod_dict['TMT2plex[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 225.155833 225.155833 0 H(20)C(11)13C(1)N(2)O(2)' mod_dict['TMT2plex[H]'] = 'H NORMAL 225.155833 225.155833 0 H(20)C(11)13C(1)N(2)O(2)' mod_dict['TMT2plex[K]'] = 'K NORMAL 225.155833 225.155833 0 H(20)C(11)13C(1)N(2)O(2)' mod_dict['TMT2plex[S]'] = 'S NORMAL 225.155833 225.155833 0 H(20)C(11)13C(1)N(2)O(2)' mod_dict['TMT2plex[T]'] = 'T NORMAL 225.155833 225.155833 0 H(20)C(11)13C(1)N(2)O(2)' mod_dict['TMT2plex[ProteinN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PRO_N 225.155833 225.155833 0 H(20)C(11)13C(1)N(2)O(2)' mod_dict['TMT6plex[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 229.162932 229.162932 0 H(20)C(8)13C(4)N(1)15N(1)O(2)' mod_dict['TMT6plex[H]'] = 'H NORMAL 229.162932 229.162932 0 H(20)C(8)13C(4)N(1)15N(1)O(2)' mod_dict['TMT6plex[K]'] = 'K NORMAL 229.162932 229.162932 0 H(20)C(8)13C(4)N(1)15N(1)O(2)' mod_dict['TMT6plex[S]'] = 'S NORMAL 229.162932 229.162932 0 H(20)C(8)13C(4)N(1)15N(1)O(2)' mod_dict['TMT6plex[T]'] = 'T NORMAL 229.162932 229.162932 0 H(20)C(8)13C(4)N(1)15N(1)O(2)' mod_dict['TMT6plex[ProteinN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PRO_N 229.162932 229.162932 0 H(20)C(8)13C(4)N(1)15N(1)O(2)' mod_dict['TNBS[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 210.986535 210.986535 0 H(1)C(6)N(3)O(6)' mod_dict['TNBS[K]'] = 'K NORMAL 210.986535 210.986535 0 H(1)C(6)N(3)O(6)' mod_dict['Thiadiazole[C]'] = 'C NORMAL 174.025169 174.025169 0 H(6)C(9)N(2)S(1)' mod_dict['Thiazolidine[AnyN-termC]'] = 'C PEP_N 12.000000 12.000000 0 C(1)' mod_dict['Thioacyl[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 87.998285 87.998285 0 H(4)C(3)O(1)S(1)' mod_dict['Thioacyl[K]'] = 'K NORMAL 87.998285 87.998285 0 H(4)C(3)O(1)S(1)' mod_dict['Thiophos-S-S-biotin[S]'] = 'S NORMAL 525.142894 525.142894 1 525.142894 525.142894 H(34)C(19)N(4)O(5)P(1)S(3)' mod_dict['Thiophos-S-S-biotin[T]'] = 'T NORMAL 525.142894 525.142894 1 525.142894 525.142894 H(34)C(19)N(4)O(5)P(1)S(3)' mod_dict['Thiophos-S-S-biotin[Y]'] = 'Y NORMAL 525.142894 525.142894 1 525.142894 525.142894 H(34)C(19)N(4)O(5)P(1)S(3)' mod_dict['Thiophospho[S]'] = 'S NORMAL 95.943487 95.943487 0 H(1)O(2)P(1)S(1)' mod_dict['Thiophospho[T]'] = 'T NORMAL 95.943487 95.943487 0 H(1)O(2)P(1)S(1)' mod_dict['Thiophospho[Y]'] = 'Y NORMAL 95.943487 95.943487 0 H(1)O(2)P(1)S(1)' mod_dict['Thr->Ala[T]'] = 'T NORMAL -30.010565 -30.010565 0 H(-2)C(-1)O(-1)' mod_dict['Thr->Arg[T]'] = 'T NORMAL 55.053433 55.053433 0 H(5)C(2)N(3)O(-1)' mod_dict['Thr->Asn[T]'] = 'T NORMAL 12.995249 12.995249 0 H(-1)N(1)' mod_dict['Thr->Asp[T]'] = 'T NORMAL 13.979265 13.979265 0 H(-2)O(1)' mod_dict['Thr->Cys[T]'] = 'T NORMAL 1.961506 1.961506 0 H(-2)C(-1)O(-1)S(1)' mod_dict['Thr->Gln[T]'] = 'T NORMAL 27.010899 27.010899 0 H(1)C(1)N(1)' mod_dict['Thr->Gly[T]'] = 'T NORMAL -44.026215 -44.026215 0 H(-4)C(-2)O(-1)' mod_dict['Thr->His[T]'] = 'T NORMAL 36.011233 36.011233 0 C(2)N(2)O(-1)' mod_dict['Thr->Met[T]'] = 'T NORMAL 29.992806 29.992806 0 H(2)C(1)O(-1)S(1)' mod_dict['Thr->Phe[T]'] = 'T NORMAL 46.020735 46.020735 0 H(2)C(5)O(-1)' mod_dict['Thr->Pro[T]'] = 'T NORMAL -3.994915 -3.994915 0 C(1)O(-1)' mod_dict['Thr->Ser[T]'] = 'T NORMAL -14.015650 -14.015650 0 H(-2)C(-1)' mod_dict['Thr->Trp[T]'] = 'T NORMAL 85.031634 85.031634 0 H(3)C(7)N(1)O(-1)' mod_dict['Thr->Tyr[T]'] = 'T NORMAL 62.015650 62.015650 0 H(2)C(5)' mod_dict['Thr->Val[T]'] = 'T NORMAL -1.979265 -1.979265 0 H(2)C(1)O(-1)' mod_dict['Thr->Xle[T]'] = 'T NORMAL 12.036386 12.036386 0 H(4)C(2)O(-1)' mod_dict['Thrbiotinhydrazide[T]'] = 'T NORMAL 240.104482 240.104482 0 H(16)C(10)N(4)O(1)S(1)' mod_dict['Thyroxine[Y]'] = 'Y NORMAL 595.612807 595.612807 0 C(6)O(1)I(4)' mod_dict['Triiodo[Y]'] = 'Y NORMAL 377.689944 377.689944 0 H(-3)I(3)' mod_dict['Triiodothyronine[Y]'] = 'Y NORMAL 469.716159 469.716159 0 H(1)C(6)O(1)I(3)' mod_dict['Trimethyl[R]'] = 'R NORMAL 42.046950 42.046950 0 H(6)C(3)' mod_dict['Trimethyl[ProteinN-termA]'] = 'A PRO_N 42.046950 42.046950 0 H(6)C(3)' mod_dict['Trimethyl_2H(9)[K]'] = 'K NORMAL 51.103441 51.103441 0 H(-3)2H(9)C(3)' mod_dict['Trimethyl_2H(9)[R]'] = 'R NORMAL 51.103441 51.103441 0 H(-3)2H(9)C(3)' mod_dict['Trioxidation[C]'] = 'C NORMAL 47.984744 47.984744 0 O(3)' mod_dict['Trioxidation[W]'] = 'W NORMAL 47.984744 47.984744 0 O(3)' mod_dict['Trioxidation[Y]'] = 'Y NORMAL 47.984744 47.984744 0 O(3)' mod_dict['Tripalmitate[ProteinN-termC]'] = 'C PRO_N 788.725777 788.725777 0 H(96)C(51)O(5)' mod_dict['Trp->Ala[W]'] = 'W NORMAL -115.042199 -115.042199 0 H(-5)C(-8)N(-1)' mod_dict['Trp->Arg[W]'] = 'W NORMAL -29.978202 -29.978202 0 H(2)C(-5)N(2)' mod_dict['Trp->Asn[W]'] = 'W NORMAL -72.036386 -72.036386 0 H(-4)C(-7)O(1)' mod_dict['Trp->Asp[W]'] = 'W NORMAL -71.052370 -71.052370 0 H(-5)C(-7)N(-1)O(2)' mod_dict['Trp->Cys[W]'] = 'W NORMAL -83.070128 -83.070128 0 H(-5)C(-8)N(-1)S(1)' mod_dict['Trp->Gln[W]'] = 'W NORMAL -58.020735 -58.020735 0 H(-2)C(-6)O(1)' mod_dict['Trp->Glu[W]'] = 'W NORMAL -57.036720 -57.036720 0 H(-3)C(-6)N(-1)O(2)' mod_dict['Trp->Gly[W]'] = 'W NORMAL -129.057849 -129.057849 0 H(-7)C(-9)N(-1)' mod_dict['Trp->His[W]'] = 'W NORMAL -49.020401 -49.020401 0 H(-3)C(-5)N(1)' mod_dict['Trp->Hydroxykynurenin[W]'] = 'W NORMAL 19.989829 19.989829 0 C(-1)O(2)' mod_dict['Trp->Kynurenin[W]'] = 'W NORMAL 3.994915 3.994915 0 C(-1)O(1)' mod_dict['Trp->Lys[W]'] = 'W NORMAL -57.984350 -57.984350 0 H(2)C(-5)' mod_dict['Trp->Met[W]'] = 'W NORMAL -55.038828 -55.038828 0 H(-1)C(-6)N(-1)S(1)' mod_dict['Trp->Oxolactone[W]'] = 'W NORMAL 13.979265 13.979265 0 H(-2)O(1)' mod_dict['Trp->Phe[W]'] = 'W NORMAL -39.010899 -39.010899 0 H(-1)C(-2)N(-1)' mod_dict['Trp->Pro[W]'] = 'W NORMAL -89.026549 -89.026549 0 H(-3)C(-6)N(-1)' mod_dict['Trp->Ser[W]'] = 'W NORMAL -99.047285 -99.047285 0 H(-5)C(-8)N(-1)O(1)' mod_dict['Trp->Thr[W]'] = 'W NORMAL -85.031634 -85.031634 0 H(-3)C(-7)N(-1)O(1)' mod_dict['Trp->Tyr[W]'] = 'W NORMAL -23.015984 -23.015984 0 H(-1)C(-2)N(-1)O(1)' mod_dict['Trp->Val[W]'] = 'W NORMAL -87.010899 -87.010899 0 H(-1)C(-6)N(-1)' mod_dict['Trp->Xle[W]'] = 'W NORMAL -72.995249 -72.995249 0 H(1)C(-5)N(-1)' mod_dict['Tyr->Ala[Y]'] = 'Y NORMAL -92.026215 -92.026215 0 H(-4)C(-6)O(-1)' mod_dict['Tyr->Arg[Y]'] = 'Y NORMAL -6.962218 -6.962218 0 H(3)C(-3)N(3)O(-1)' mod_dict['Tyr->Asn[Y]'] = 'Y NORMAL -49.020401 -49.020401 0 H(-3)C(-5)N(1)' mod_dict['Tyr->Asp[Y]'] = 'Y NORMAL -48.036386 -48.036386 0 H(-4)C(-5)O(1)' mod_dict['Tyr->Cys[Y]'] = 'Y NORMAL -60.054144 -60.054144 0 H(-4)C(-6)O(-1)S(1)' mod_dict['Tyr->Dha[Y]'] = 'Y NORMAL -94.041865 -94.041865 0 H(-6)C(-6)O(-1)' mod_dict['Tyr->Gln[Y]'] = 'Y NORMAL -35.004751 -35.004751 0 H(-1)C(-4)N(1)' mod_dict['Tyr->Glu[Y]'] = 'Y NORMAL -34.020735 -34.020735 0 H(-2)C(-4)O(1)' mod_dict['Tyr->Gly[Y]'] = 'Y NORMAL -106.041865 -106.041865 0 H(-6)C(-7)O(-1)' mod_dict['Tyr->His[Y]'] = 'Y NORMAL -26.004417 -26.004417 0 H(-2)C(-3)N(2)O(-1)' mod_dict['Tyr->Lys[Y]'] = 'Y NORMAL -34.968366 -34.968366 0 H(3)C(-3)N(1)O(-1)' mod_dict['Tyr->Met[Y]'] = 'Y NORMAL -32.022844 -32.022844 0 C(-4)O(-1)S(1)' mod_dict['Tyr->Phe[Y]'] = 'Y NORMAL -15.994915 -15.994915 0 O(-1)' mod_dict['Tyr->Pro[Y]'] = 'Y NORMAL -66.010565 -66.010565 0 H(-2)C(-4)O(-1)' mod_dict['Tyr->Ser[Y]'] = 'Y NORMAL -76.031300 -76.031300 0 H(-4)C(-6)' mod_dict['Tyr->Thr[Y]'] = 'Y NORMAL -62.015650 -62.015650 0 H(-2)C(-5)' mod_dict['Tyr->Trp[Y]'] = 'Y NORMAL 23.015984 23.015984 0 H(1)C(2)N(1)O(-1)' mod_dict['Tyr->Val[Y]'] = 'Y NORMAL -63.994915 -63.994915 0 C(-4)O(-1)' mod_dict['Tyr->Xle[Y]'] = 'Y NORMAL -49.979265 -49.979265 0 H(2)C(-3)O(-1)' mod_dict['Ub-Br2[C]'] = 'C NORMAL 100.063663 100.063663 0 H(8)C(4)N(2)O(1)' mod_dict['Ub-VME[C]'] = 'C NORMAL 173.092617 173.092617 0 H(13)C(7)N(2)O(3)' mod_dict['Ub-amide[C]'] = 'C NORMAL 196.108602 196.108602 0 H(14)C(9)N(3)O(2)' mod_dict['Ub-fluorescein[C]'] = 'C NORMAL 597.209772 597.209772 0 H(29)C(31)N(6)O(7)' mod_dict['UgiJoullie[D]'] = 'D NORMAL 1106.489350 1106.489350 0 H(60)C(47)N(23)O(10)' mod_dict['UgiJoullie[E]'] = 'E NORMAL 1106.489350 1106.489350 0 H(60)C(47)N(23)O(10)' mod_dict['UgiJoullieProGly[D]'] = 'D NORMAL 154.074228 154.074228 0 H(10)C(7)N(2)O(2)' mod_dict['UgiJoullieProGly[E]'] = 'E NORMAL 154.074228 154.074228 0 H(10)C(7)N(2)O(2)' mod_dict['UgiJoullieProGlyProGly[D]'] = 'D NORMAL 308.148455 308.148455 0 H(20)C(14)N(4)O(4)' mod_dict['UgiJoullieProGlyProGly[E]'] = 'E NORMAL 308.148455 308.148455 0 H(20)C(14)N(4)O(4)' mod_dict['VFQQQTGG[K]'] = 'K NORMAL 845.403166 845.403166 0 H(55)C(37)N(11)O(12)' mod_dict['VIEVYQEQTGG[K]'] = 'K NORMAL 1203.577168 1203.577168 0 H(81)C(53)N(13)O(19)' mod_dict['Val->Ala[V]'] = 'V NORMAL -28.031300 -28.031300 0 H(-4)C(-2)' mod_dict['Val->Arg[V]'] = 'V NORMAL 57.032697 57.032697 0 H(3)C(1)N(3)' mod_dict['Val->Asn[V]'] = 'V NORMAL 14.974514 14.974514 0 H(-3)C(-1)N(1)O(1)' mod_dict['Val->Asp[V]'] = 'V NORMAL 15.958529 15.958529 0 H(-4)C(-1)O(2)' mod_dict['Val->Cys[V]'] = 'V NORMAL 3.940771 3.940771 0 H(-4)C(-2)S(1)' mod_dict['Val->Gln[V]'] = 'V NORMAL 28.990164 28.990164 0 H(-1)N(1)O(1)' mod_dict['Val->Glu[V]'] = 'V NORMAL 29.974179 29.974179 0 H(-2)O(2)' mod_dict['Val->Gly[V]'] = 'V NORMAL -42.046950 -42.046950 0 H(-6)C(-3)' mod_dict['Val->His[V]'] = 'V NORMAL 37.990498 37.990498 0 H(-2)C(1)N(2)' mod_dict['Val->Lys[V]'] = 'V NORMAL 29.026549 29.026549 0 H(3)C(1)N(1)' mod_dict['Val->Met[V]'] = 'V NORMAL 31.972071 31.972071 0 S(1)' mod_dict['Val->Phe[V]'] = 'V NORMAL 48.000000 48.000000 0 C(4)' mod_dict['Val->Pro[V]'] = 'V NORMAL -2.015650 -2.015650 0 H(-2)' mod_dict['Val->Ser[V]'] = 'V NORMAL -12.036386 -12.036386 0 H(-4)C(-2)O(1)' mod_dict['Val->Thr[V]'] = 'V NORMAL 1.979265 1.979265 0 H(-2)C(-1)O(1)' mod_dict['Val->Trp[V]'] = 'V NORMAL 87.010899 87.010899 0 H(1)C(6)N(1)' mod_dict['Val->Tyr[V]'] = 'V NORMAL 63.994915 63.994915 0 C(4)O(1)' mod_dict['Val->Xle[V]'] = 'V NORMAL 14.015650 14.015650 0 H(2)C(1)' mod_dict['Withaferin[C]'] = 'C NORMAL 470.266839 470.266839 0 H(38)C(28)O(6)' mod_dict['Xle->Ala[I]'] = 'I NORMAL -42.046950 -42.046950 0 H(-6)C(-3)' mod_dict['Xle->Ala[L]'] = 'L NORMAL -42.046950 -42.046950 0 H(-6)C(-3)' mod_dict['Xle->Arg[I]'] = 'I NORMAL 43.017047 43.017047 0 H(1)N(3)' mod_dict['Xle->Arg[L]'] = 'L NORMAL 43.017047 43.017047 0 H(1)N(3)' mod_dict['Xle->Asn[I]'] = 'I NORMAL 0.958863 0.958863 0 H(-5)C(-2)N(1)O(1)' mod_dict['Xle->Asn[L]'] = 'L NORMAL 0.958863 0.958863 0 H(-5)C(-2)N(1)O(1)' mod_dict['Xle->Asp[I]'] = 'I NORMAL 1.942879 1.942879 0 H(-6)C(-2)O(2)' mod_dict['Xle->Asp[L]'] = 'L NORMAL 1.942879 1.942879 0 H(-6)C(-2)O(2)' mod_dict['Xle->Cys[I]'] = 'I NORMAL -10.074880 -10.074880 0 H(-6)C(-3)S(1)' mod_dict['Xle->Cys[L]'] = 'L NORMAL -10.074880 -10.074880 0 H(-6)C(-3)S(1)' mod_dict['Xle->Gln[I]'] = 'I NORMAL 14.974514 14.974514 0 H(-3)C(-1)N(1)O(1)' mod_dict['Xle->Gln[L]'] = 'L NORMAL 14.974514 14.974514 0 H(-3)C(-1)N(1)O(1)' mod_dict['Xle->Glu[I]'] = 'I NORMAL 15.958529 15.958529 0 H(-4)C(-1)O(2)' mod_dict['Xle->Glu[L]'] = 'L NORMAL 15.958529 15.958529 0 H(-4)C(-1)O(2)' mod_dict['Xle->Gly[I]'] = 'I NORMAL -56.062600 -56.062600 0 H(-8)C(-4)' mod_dict['Xle->Gly[L]'] = 'L NORMAL -56.062600 -56.062600 0 H(-8)C(-4)' mod_dict['Xle->His[I]'] = 'I NORMAL 23.974848 23.974848 0 H(-4)N(2)' mod_dict['Xle->His[L]'] = 'L NORMAL 23.974848 23.974848 0 H(-4)N(2)' mod_dict['Xle->Lys[I]'] = 'I NORMAL 15.010899 15.010899 0 H(1)N(1)' mod_dict['Xle->Lys[L]'] = 'L NORMAL 15.010899 15.010899 0 H(1)N(1)' mod_dict['Xle->Met[I]'] = 'I NORMAL 17.956421 17.956421 0 H(-2)C(-1)S(1)' mod_dict['Xle->Met[L]'] = 'L NORMAL 17.956421 17.956421 0 H(-2)C(-1)S(1)' mod_dict['Xle->Phe[I]'] = 'I NORMAL 33.984350 33.984350 0 H(-2)C(3)' mod_dict['Xle->Phe[L]'] = 'L NORMAL 33.984350 33.984350 0 H(-2)C(3)' mod_dict['Xle->Pro[I]'] = 'I NORMAL -16.031300 -16.031300 0 H(-4)C(-1)' mod_dict['Xle->Pro[L]'] = 'L NORMAL -16.031300 -16.031300 0 H(-4)C(-1)' mod_dict['Xle->Ser[I]'] = 'I NORMAL -26.052036 -26.052036 0 H(-6)C(-3)O(1)' mod_dict['Xle->Ser[L]'] = 'L NORMAL -26.052036 -26.052036 0 H(-6)C(-3)O(1)' mod_dict['Xle->Thr[I]'] = 'I NORMAL -12.036386 -12.036386 0 H(-4)C(-2)O(1)' mod_dict['Xle->Thr[L]'] = 'L NORMAL -12.036386 -12.036386 0 H(-4)C(-2)O(1)' mod_dict['Xle->Trp[I]'] = 'I NORMAL 72.995249 72.995249 0 H(-1)C(5)N(1)' mod_dict['Xle->Trp[L]'] = 'L NORMAL 72.995249 72.995249 0 H(-1)C(5)N(1)' mod_dict['Xle->Tyr[I]'] = 'I NORMAL 49.979265 49.979265 0 H(-2)C(3)O(1)' mod_dict['Xle->Tyr[L]'] = 'L NORMAL 49.979265 49.979265 0 H(-2)C(3)O(1)' mod_dict['Xle->Val[I]'] = 'I NORMAL -14.015650 -14.015650 0 H(-2)C(-1)' mod_dict['Xle->Val[L]'] = 'L NORMAL -14.015650 -14.015650 0 H(-2)C(-1)' mod_dict['Xlink_B10621[C]'] = 'C NORMAL 713.093079 713.093079 0 H(30)C(31)N(4)O(6)S(1)I(1)' mod_dict['Xlink_DMP-de[ProteinN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PRO_N 140.094963 140.094963 0 H(12)C(7)N(2)O(1)' mod_dict['Xlink_DMP-s[K]'] = 'K NORMAL 154.110613 154.110613 0 H(14)C(8)N(2)O(1)' mod_dict['Xlink_DMP-s[ProteinN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PRO_N 154.110613 154.110613 0 H(14)C(8)N(2)O(1)' mod_dict['Xlink_DMP[K]'] = 'K NORMAL 122.084398 122.084398 0 H(10)C(7)N(2)' mod_dict['Xlink_DMP[ProteinN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PRO_N 122.084398 122.084398 0 H(10)C(7)N(2)' mod_dict['Xlink_DSS[K]'] = 'K NORMAL 156.078644 156.078644 0 H(12)C(8)O(3)' mod_dict['Xlink_DSS[ProteinN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PRO_N 156.078644 156.078644 0 H(12)C(8)O(3)' mod_dict['Xlink_DST[K]'] = 'K NORMAL 132.005873 132.005873 0 H(4)C(4)O(5)' mod_dict['Xlink_DST[ProteinN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PRO_N 132.005873 132.005873 0 H(4)C(4)O(5)' mod_dict['Xlink_DTSSP[K]'] = 'K NORMAL 191.991486 191.991486 0 H(8)C(6)O(3)S(2)' mod_dict['Xlink_DTSSP[ProteinN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PRO_N 191.991486 191.991486 0 H(8)C(6)O(3)S(2)' mod_dict['Xlink_EGS[K]'] = 'K NORMAL 244.058303 244.058303 0 H(12)C(10)O(7)' mod_dict['Xlink_EGS[ProteinN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PRO_N 244.058303 244.058303 0 H(12)C(10)O(7)' mod_dict['Xlink_EGScleaved[K]'] = 'K NORMAL 99.032028 99.032028 0 H(5)C(4)N(1)O(2)' mod_dict['Xlink_EGScleaved[ProteinN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PRO_N 99.032028 99.032028 0 H(5)C(4)N(1)O(2)' mod_dict['Xlink_SMCC[C]'] = 'C NORMAL 237.100108 237.100108 0 H(15)C(12)N(1)O(4)' mod_dict['Xlink_SSD[K]'] = 'K NORMAL 253.095023 253.095023 0 H(15)C(12)N(1)O(5)' mod_dict['ZGB[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 758.380841 758.380841 0 H(53)B(1)C(37)N(6)O(6)F(2)S(1)' mod_dict['ZGB[K]'] = 'K NORMAL 758.380841 758.380841 0 H(53)B(1)C(37)N(6)O(6)F(2)S(1)' mod_dict['a-type-ion[AnyC-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_C -46.005479 -46.005479 0 H(-2)C(-1)O(-2)' mod_dict['azole[C]'] = 'C NORMAL -20.026215 -20.026215 0 H(-4)O(-1)' mod_dict['azole[S]'] = 'S NORMAL -20.026215 -20.026215 0 H(-4)O(-1)' mod_dict['benzylguanidine[K]'] = 'K NORMAL 132.068748 132.068748 0 H(8)C(8)N(2)' mod_dict['biotinAcrolein298[C]'] = 'C NORMAL 298.146347 298.146347 0 H(22)C(13)N(4)O(2)S(1)' mod_dict['biotinAcrolein298[H]'] = 'H NORMAL 298.146347 298.146347 0 H(22)C(13)N(4)O(2)S(1)' mod_dict['biotinAcrolein298[K]'] = 'K NORMAL 298.146347 298.146347 0 H(22)C(13)N(4)O(2)S(1)' mod_dict['biotinAcrolein298[ProteinN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PRO_N 298.146347 298.146347 0 H(22)C(13)N(4)O(2)S(1)' mod_dict['bisANS-sulfonates[K]'] = 'K NORMAL 437.201774 437.201774 0 H(25)C(32)N(2)' mod_dict['bisANS-sulfonates[S]'] = 'S NORMAL 437.201774 437.201774 0 H(25)C(32)N(2)' mod_dict['bisANS-sulfonates[T]'] = 'T NORMAL 437.201774 437.201774 0 H(25)C(32)N(2)' mod_dict['cGMP+RMP-loss[C]'] = 'C NORMAL 150.041585 150.041585 0 H(4)C(5)N(5)O(1)' mod_dict['cGMP+RMP-loss[S]'] = 'S NORMAL 150.041585 150.041585 0 H(4)C(5)N(5)O(1)' mod_dict['cGMP[C]'] = 'C NORMAL 343.031785 343.031785 0 H(10)C(10)N(5)O(7)P(1)' mod_dict['cGMP[S]'] = 'S NORMAL 343.031785 343.031785 0 H(10)C(10)N(5)O(7)P(1)' mod_dict['cysTMT[C]'] = 'C NORMAL 299.166748 299.166748 0 H(25)C(14)N(3)O(2)S(1)' mod_dict['cysTMT6plex[C]'] = 'C NORMAL 304.177202 304.177202 0 H(25)C(10)13C(4)N(2)15N(1)O(2)S(1)' mod_dict['dHex(1)Hex(1)[S]'] = 'S NORMAL 308.110732 308.110732 0 dHex(1)Hex(1)' mod_dict['dHex(1)Hex(1)[T]'] = 'T NORMAL 308.110732 308.110732 0 dHex(1)Hex(1)' mod_dict['dHex(1)Hex(2)[S]'] = 'S NORMAL 470.163556 470.163556 0 dHex(1)Hex(2)' mod_dict['dHex(1)Hex(2)[T]'] = 'T NORMAL 470.163556 470.163556 0 dHex(1)Hex(2)' mod_dict['dHex(1)Hex(3)[S]'] = 'S NORMAL 632.216379 632.216379 0 dHex(1)Hex(3)' mod_dict['dHex(1)Hex(3)[T]'] = 'T NORMAL 632.216379 632.216379 0 dHex(1)Hex(3)' mod_dict['dHex(1)Hex(3)HexNAc(4)[N]'] = 'N NORMAL 1444.533870 1444.533870 0 dHex(1)Hex(3)HexNAc(4)' mod_dict['dHex(1)Hex(4)[S]'] = 'S NORMAL 794.269203 794.269203 0 dHex(1)Hex(4)' mod_dict['dHex(1)Hex(4)[T]'] = 'T NORMAL 794.269203 794.269203 0 dHex(1)Hex(4)' mod_dict['dHex(1)Hex(4)HexNAc(4)[N]'] = 'N NORMAL 1606.586693 1606.586693 0 dHex(1)Hex(4)HexNAc(4)' mod_dict['dHex(1)Hex(5)[S]'] = 'S NORMAL 956.322026 956.322026 0 dHex(1)Hex(5)' mod_dict['dHex(1)Hex(5)[T]'] = 'T NORMAL 956.322026 956.322026 0 dHex(1)Hex(5)' mod_dict['dHex(1)Hex(5)HexNAc(4)[N]'] = 'N NORMAL 1768.639517 1768.639517 0 dHex(1)Hex(5)HexNAc(4)' mod_dict['dHex(1)Hex(6)[S]'] = 'S NORMAL 1118.374850 1118.374850 0 dHex(1)Hex(6)' mod_dict['dHex(1)Hex(6)[T]'] = 'T NORMAL 1118.374850 1118.374850 0 dHex(1)Hex(6)' mod_dict['dHex[N]'] = 'N NORMAL 146.057909 146.057909 0 dHex(1)' mod_dict['dHex[S]'] = 'S NORMAL 146.057909 146.057909 0 dHex(1)' mod_dict['dHex[T]'] = 'T NORMAL 146.057909 146.057909 0 dHex(1)' mod_dict['dNIC[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 109.048119 109.048119 0 H(1)2H(3)C(6)N(1)O(1)' mod_dict['dichlorination[C]'] = 'C NORMAL 69.937705 69.937705 0 Cl(2)' mod_dict['dichlorination[Y]'] = 'Y NORMAL 69.937705 69.937705 0 Cl(2)' mod_dict['ethylamino[S]'] = 'S NORMAL 27.047285 27.047285 0 H(5)C(2)N(1)O(-1)' mod_dict['ethylamino[T]'] = 'T NORMAL 27.047285 27.047285 0 H(5)C(2)N(1)O(-1)' mod_dict['ethylsulfonylethyl[C]'] = 'C NORMAL 120.024500 120.024500 0 H(8)C(4)O(2)S(1)' mod_dict['ethylsulfonylethyl[H]'] = 'H NORMAL 120.024500 120.024500 0 H(8)C(4)O(2)S(1)' mod_dict['ethylsulfonylethyl[K]'] = 'K NORMAL 120.024500 120.024500 0 H(8)C(4)O(2)S(1)' mod_dict['glucosone[R]'] = 'R NORMAL 160.037173 160.037173 0 H(8)C(6)O(5)' mod_dict['glycidamide[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 87.032028 87.032028 0 H(5)C(3)N(1)O(2)' mod_dict['glycidamide[K]'] = 'K NORMAL 87.032028 87.032028 0 H(5)C(3)N(1)O(2)' mod_dict['iTRAQ4plex[ProteinN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PRO_N 144.102063 144.102063 0 H(12)C(4)13C(3)N(1)15N(1)O(1)' mod_dict['iTRAQ4plex114[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 144.105918 144.105918 0 H(12)C(5)13C(2)N(2)18O(1)' mod_dict['iTRAQ4plex114[K]'] = 'K NORMAL 144.105918 144.105918 0 H(12)C(5)13C(2)N(2)18O(1)' mod_dict['iTRAQ4plex114[Y]'] = 'Y NORMAL 144.105918 144.105918 0 H(12)C(5)13C(2)N(2)18O(1)' mod_dict['iTRAQ4plex115[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 144.099599 144.099599 0 H(12)C(6)13C(1)N(1)15N(1)18O(1)' mod_dict['iTRAQ4plex115[K]'] = 'K NORMAL 144.099599 144.099599 0 H(12)C(6)13C(1)N(1)15N(1)18O(1)' mod_dict['iTRAQ4plex115[Y]'] = 'Y NORMAL 144.099599 144.099599 0 H(12)C(6)13C(1)N(1)15N(1)18O(1)' mod_dict['iTRAQ8plex[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 304.205360 304.205360 0 H(24)C(7)13C(7)N(3)15N(1)O(3)' mod_dict['iTRAQ8plex[H]'] = 'H NORMAL 304.205360 304.205360 0 H(24)C(7)13C(7)N(3)15N(1)O(3)' mod_dict['iTRAQ8plex[K]'] = 'K NORMAL 304.205360 304.205360 0 H(24)C(7)13C(7)N(3)15N(1)O(3)' mod_dict['iTRAQ8plex[S]'] = 'S NORMAL 304.205360 304.205360 0 H(24)C(7)13C(7)N(3)15N(1)O(3)' mod_dict['iTRAQ8plex[T]'] = 'T NORMAL 304.205360 304.205360 0 H(24)C(7)13C(7)N(3)15N(1)O(3)' mod_dict['iTRAQ8plex[Y]'] = 'Y NORMAL 304.205360 304.205360 0 H(24)C(7)13C(7)N(3)15N(1)O(3)' mod_dict['iTRAQ8plex[ProteinN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PRO_N 304.205360 304.205360 0 H(24)C(7)13C(7)N(3)15N(1)O(3)' mod_dict['iTRAQ8plex_13C(6)15N(2)[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 304.199040 304.199040 0 H(24)C(8)13C(6)N(2)15N(2)O(3)' mod_dict['iTRAQ8plex_13C(6)15N(2)[K]'] = 'K NORMAL 304.199040 304.199040 0 H(24)C(8)13C(6)N(2)15N(2)O(3)' mod_dict['iTRAQ8plex_13C(6)15N(2)[Y]'] = 'Y NORMAL 304.199040 304.199040 0 H(24)C(8)13C(6)N(2)15N(2)O(3)' mod_dict['iodoTMT[C]'] = 'C NORMAL 324.216141 324.216141 0 H(28)C(16)N(4)O(3)' mod_dict['iodoTMT[D]'] = 'D NORMAL 324.216141 324.216141 0 H(28)C(16)N(4)O(3)' mod_dict['iodoTMT[E]'] = 'E NORMAL 324.216141 324.216141 0 H(28)C(16)N(4)O(3)' mod_dict['iodoTMT[H]'] = 'H NORMAL 324.216141 324.216141 0 H(28)C(16)N(4)O(3)' mod_dict['iodoTMT[K]'] = 'K NORMAL 324.216141 324.216141 0 H(28)C(16)N(4)O(3)' mod_dict['iodoTMT6plex[C]'] = 'C NORMAL 329.226595 329.226595 0 H(28)C(12)13C(4)N(3)15N(1)O(3)' mod_dict['iodoTMT6plex[D]'] = 'D NORMAL 329.226595 329.226595 0 H(28)C(12)13C(4)N(3)15N(1)O(3)' mod_dict['iodoTMT6plex[E]'] = 'E NORMAL 329.226595 329.226595 0 H(28)C(12)13C(4)N(3)15N(1)O(3)' mod_dict['iodoTMT6plex[H]'] = 'H NORMAL 329.226595 329.226595 0 H(28)C(12)13C(4)N(3)15N(1)O(3)' mod_dict['iodoTMT6plex[K]'] = 'K NORMAL 329.226595 329.226595 0 H(28)C(12)13C(4)N(3)15N(1)O(3)' mod_dict['lapachenole[C]'] = 'C NORMAL 240.115030 240.115030 0 H(16)C(16)O(2)' mod_dict['mTRAQ[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 140.094963 140.094963 0 H(12)C(7)N(2)O(1)' mod_dict['mTRAQ[H]'] = 'H NORMAL 140.094963 140.094963 0 H(12)C(7)N(2)O(1)' mod_dict['mTRAQ[K]'] = 'K NORMAL 140.094963 140.094963 0 H(12)C(7)N(2)O(1)' mod_dict['mTRAQ[S]'] = 'S NORMAL 140.094963 140.094963 0 H(12)C(7)N(2)O(1)' mod_dict['mTRAQ[T]'] = 'T NORMAL 140.094963 140.094963 0 H(12)C(7)N(2)O(1)' mod_dict['mTRAQ[Y]'] = 'Y NORMAL 140.094963 140.094963 0 H(12)C(7)N(2)O(1)' mod_dict['mTRAQ_13C(3)15N(1)[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 144.102063 144.102063 0 H(12)C(4)13C(3)N(1)15N(1)O(1)' mod_dict['mTRAQ_13C(3)15N(1)[H]'] = 'H NORMAL 144.102063 144.102063 0 H(12)C(4)13C(3)N(1)15N(1)O(1)' mod_dict['mTRAQ_13C(3)15N(1)[K]'] = 'K NORMAL 144.102063 144.102063 0 H(12)C(4)13C(3)N(1)15N(1)O(1)' mod_dict['mTRAQ_13C(3)15N(1)[S]'] = 'S NORMAL 144.102063 144.102063 0 H(12)C(4)13C(3)N(1)15N(1)O(1)' mod_dict['mTRAQ_13C(3)15N(1)[T]'] = 'T NORMAL 144.102063 144.102063 0 H(12)C(4)13C(3)N(1)15N(1)O(1)' mod_dict['mTRAQ_13C(3)15N(1)[Y]'] = 'Y NORMAL 144.102063 144.102063 0 H(12)C(4)13C(3)N(1)15N(1)O(1)' mod_dict['mTRAQ_13C(6)15N(2)[AnyN-term]'] = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ PEP_N 148.109162 148.109162 0 H(12)C(1)13C(6)15N(2)O(1)' mod_dict['mTRAQ_13C(6)15N(2)[H]'] = 'H NORMAL 148.109162 148.109162 0 H(12)C(1)13C(6)15N(2)O(1)' mod_dict['mTRAQ_13C(6)15N(2)[K]'] = 'K NORMAL 148.109162 148.109162 0 H(12)C(1)13C(6)15N(2)O(1)' mod_dict['mTRAQ_13C(6)15N(2)[S]'] = 'S NORMAL 148.109162 148.109162 0 H(12)C(1)13C(6)15N(2)O(1)' mod_dict['mTRAQ_13C(6)15N(2)[T]'] = 'T NORMAL 148.109162 148.109162 0 H(12)C(1)13C(6)15N(2)O(1)' mod_dict['mTRAQ_13C(6)15N(2)[Y]'] = 'Y NORMAL 148.109162 148.109162 0 H(12)C(1)13C(6)15N(2)O(1)' mod_dict['maleimide[C]'] = 'C NORMAL 97.016378 97.016378 0 H(3)C(4)N(1)O(2)' mod_dict['maleimide[K]'] = 'K NORMAL 97.016378 97.016378 0 H(3)C(4)N(1)O(2)' mod_dict['maleimide3[C]'] = 'C NORMAL 969.366232 969.366232 0 H(59)C(37)N(7)O(23)' mod_dict['maleimide3[K]'] = 'K NORMAL 969.366232 969.366232 0 H(59)C(37)N(7)O(23)' mod_dict['maleimide5[C]'] = 'C NORMAL 1293.471879 1293.471879 0 H(79)C(49)N(7)O(33)' mod_dict['maleimide5[K]'] = 'K NORMAL 1293.471879 1293.471879 0 H(79)C(49)N(7)O(33)' mod_dict['methylsulfonylethyl[C]'] = 'C NORMAL 106.008850 106.008850 0 H(6)C(3)O(2)S(1)' mod_dict['methylsulfonylethyl[H]'] = 'H NORMAL 106.008850 106.008850 0 H(6)C(3)O(2)S(1)' mod_dict['methylsulfonylethyl[K]'] = 'K NORMAL 106.008850 106.008850 0 H(6)C(3)O(2)S(1)' mod_dict['phenylsulfonylethyl[C]'] = 'C NORMAL 168.024500 168.024500 0 H(8)C(8)O(2)S(1)' mod_dict['phosphoRibosyl[D]'] = 'D NORMAL 282.023960 282.023960 0 H(9)C(5)N(5)O(7)P(1)' mod_dict['phosphoRibosyl[E]'] = 'E NORMAL 282.023960 282.023960 0 H(9)C(5)N(5)O(7)P(1)' mod_dict['phosphoRibosyl[R]'] = 'R NORMAL 282.023960 282.023960 0 H(9)C(5)N(5)O(7)P(1)' mod_dict['probiotinhydrazide[P]'] = 'P NORMAL 258.115047 258.115047 0 H(18)C(10)N(4)O(2)S(1)' mod_dict['pupylation[K]'] = 'K NORMAL 243.085521 243.085521 0 H(13)C(9)N(3)O(5)' mod_dict['pyrophospho[S]'] = 'S NORMAL 159.932662 159.932662 1 176.935402 176.935402 H(2)O(6)P(2)' mod_dict['pyrophospho[T]'] = 'T NORMAL 159.932662 159.932662 1 176.935402 176.935402 H(2)O(6)P(2)' mod_dict['sulfo+amino[Y]'] = 'Y NORMAL 94.967714 94.967714 0 H(1)N(1)O(3)S(1)' mod_dict['thioacylPA[K]'] = 'K NORMAL 159.035399 159.035399 0 H(9)C(6)N(1)O(2)S(1)' mod_dict['trifluoro[L]'] = 'L NORMAL 53.971735 53.971735 0 H(-3)F(3)' mod_dict['Glutaryl[K]'] = 'K NORMAL 114.031694 114.031694 0 H(6)C(5)O(3)' mod_dict['Hydroxyisobutyryl[K]'] = 'K NORMAL 86.036779 86.036779 0 H(6)C(4)O(2)' mod_dict['Malonyl[K]'] = 'K NORMAL 86.000394 86.000394 1 43.9898 43.9898 H(2)C(3)O(3)' mod_dict['Trimethyl[K]'] = 'K NORMAL 42.046950 42.046950 0 H(6)C(3)' mod_dict['Hydroxyproline[P]'] = 'P NORMAL 148.037173 148.037173 0 H(6)C(3)' mod_dict['Dimethyl[K]'] = 'K NORMAL 28.031300 28.031300 0 H(4)C(2)' return mod_dict
# # @lc app=leetcode id=1108 lang=python3 # # [1108] Defanging an IP Address # # @lc code=start class Solution: def defangIPaddr(self, address: str) -> str: return ''.join('[.]' if c == '.' else c for c in address) # @lc code=end
class Solution: def defang_i_paddr(self, address: str) -> str: return ''.join(('[.]' if c == '.' else c for c in address))
# # PySNMP MIB module VERILINK-ENTERPRISE-NCMIDCSU-MIB (http://snmplabs.com/pysmi) # ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/VERILINK-ENTERPRISE-NCMIDCSU-MIB # Produced by pysmi-0.3.4 at Mon Apr 29 21:26:50 2019 # On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4 # Using Python version 3.7.3 (default, Mar 27 2019, 09:23:15) # OctetString, Integer, ObjectIdentifier = mibBuilder.importSymbols("ASN1", "OctetString", "Integer", "ObjectIdentifier") NamedValues, = mibBuilder.importSymbols("ASN1-ENUMERATION", "NamedValues") ConstraintsUnion, ValueSizeConstraint, ConstraintsIntersection, ValueRangeConstraint, SingleValueConstraint = mibBuilder.importSymbols("ASN1-REFINEMENT", "ConstraintsUnion", "ValueSizeConstraint", "ConstraintsIntersection", "ValueRangeConstraint", "SingleValueConstraint") ModuleCompliance, NotificationGroup = mibBuilder.importSymbols("SNMPv2-CONF", "ModuleCompliance", "NotificationGroup") NotificationType, ModuleIdentity, MibScalar, MibTable, MibTableRow, MibTableColumn, IpAddress, ObjectIdentity, TimeTicks, Counter64, Counter32, Unsigned32, iso, Bits, Integer32, MibIdentifier, Gauge32 = mibBuilder.importSymbols("SNMPv2-SMI", "NotificationType", "ModuleIdentity", "MibScalar", "MibTable", "MibTableRow", "MibTableColumn", "IpAddress", "ObjectIdentity", "TimeTicks", "Counter64", "Counter32", "Unsigned32", "iso", "Bits", "Integer32", "MibIdentifier", "Gauge32") TextualConvention, DisplayString = mibBuilder.importSymbols("SNMPv2-TC", "TextualConvention", "DisplayString") ncm_idcsu, = mibBuilder.importSymbols("VERILINK-ENTERPRISE-NCMALARM-MIB", "ncm-idcsu") ncmidcsuConfigTable = MibTable((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10000), ) if mibBuilder.loadTexts: ncmidcsuConfigTable.setStatus('mandatory') ncmidcsuConfigEntry = MibTableRow((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10000, 1), ).setIndexNames((0, "VERILINK-ENTERPRISE-NCMIDCSU-MIB", "ncmidcsucfgNIDIndex"), (0, "VERILINK-ENTERPRISE-NCMIDCSU-MIB", "ncmidcsuLineIndex")) if mibBuilder.loadTexts: ncmidcsuConfigEntry.setStatus('mandatory') ncmidcsucfgNIDIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10000, 1, 1), Integer32().subtype(subtypeSpec=ValueRangeConstraint(1, 2147483647))).setMaxAccess("readonly") if mibBuilder.loadTexts: ncmidcsucfgNIDIndex.setStatus('mandatory') ncmidcsuLineIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10000, 1, 2), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: ncmidcsuLineIndex.setStatus('mandatory') ncmidcsuNetLineBuildOut = MibTableColumn((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10000, 1, 3), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3))).clone(namedValues=NamedValues(("db-Zero", 1), ("db-Seven-point-five", 2), ("db-Fifteen", 3)))).setMaxAccess("readwrite") if mibBuilder.loadTexts: ncmidcsuNetLineBuildOut.setStatus('mandatory') ncmidcsuNetworkKeepAlive = MibTableColumn((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10000, 1, 4), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4))).clone(namedValues=NamedValues(("none", 1), ("loop", 2), ("ais", 3), ("framed-all-ones", 4)))).setMaxAccess("readwrite") if mibBuilder.loadTexts: ncmidcsuNetworkKeepAlive.setStatus('mandatory') ncmidcsuExcessiveError = MibTableColumn((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10000, 1, 5), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("signal", 1), ("ais", 2)))).setMaxAccess("readwrite") if mibBuilder.loadTexts: ncmidcsuExcessiveError.setStatus('mandatory') ncmidcsuOutOfFrame = MibTableColumn((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10000, 1, 6), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("signal", 1), ("ais", 2)))).setMaxAccess("readwrite") if mibBuilder.loadTexts: ncmidcsuOutOfFrame.setStatus('mandatory') ncmidcsuFormat = MibTableColumn((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10000, 1, 7), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4))).clone(namedValues=NamedValues(("unframed", 1), ("sf", 2), ("esf", 3), ("zbtsi", 4)))).setMaxAccess("readwrite") if mibBuilder.loadTexts: ncmidcsuFormat.setStatus('mandatory') ncmidcsuNetDensityEnforcement = MibTableColumn((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10000, 1, 8), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4, 5))).clone(namedValues=NamedValues(("none", 1), ("fcc-part-68", 2), ("pub-62411", 3), ("eighty-zeroes", 4), ("fifteen-zeroes", 5)))).setMaxAccess("readwrite") if mibBuilder.loadTexts: ncmidcsuNetDensityEnforcement.setStatus('mandatory') ncmidcsuNetLossOfSignal = MibTableColumn((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10000, 1, 9), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: ncmidcsuNetLossOfSignal.setStatus('mandatory') ncmidcsuJitterBuf = MibTableColumn((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10000, 1, 10), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4))).clone(namedValues=NamedValues(("eq-Net-16-16", 1), ("eq-Net-40-16", 2), ("eq-Net-16-40", 3), ("eq-Net-40-40", 4)))).setMaxAccess("readwrite") if mibBuilder.loadTexts: ncmidcsuJitterBuf.setStatus('mandatory') ncmidcsuTestSigCfgEnable = MibTableColumn((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10000, 1, 11), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("no", 1), ("yes", 2)))).setMaxAccess("readwrite") if mibBuilder.loadTexts: ncmidcsuTestSigCfgEnable.setStatus('mandatory') ncmidcsuTestSigCfgFrameSignal = MibTableColumn((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10000, 1, 12), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("no", 1), ("yes", 2)))).setMaxAccess("readwrite") if mibBuilder.loadTexts: ncmidcsuTestSigCfgFrameSignal.setStatus('mandatory') ncmidcsuCfgRptSendPRM = MibTableColumn((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10000, 1, 13), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("no", 1), ("yes", 2)))).setMaxAccess("readwrite") if mibBuilder.loadTexts: ncmidcsuCfgRptSendPRM.setStatus('mandatory') ncmidcsuCfgRptPollFarEnd = MibTableColumn((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10000, 1, 14), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("no", 1), ("yes", 2)))).setMaxAccess("readwrite") if mibBuilder.loadTexts: ncmidcsuCfgRptPollFarEnd.setStatus('mandatory') ncmidcsuCfgRptDataLinkUnsolicit = MibTableColumn((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10000, 1, 15), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("no", 1), ("yes", 2)))).setMaxAccess("readwrite") if mibBuilder.loadTexts: ncmidcsuCfgRptDataLinkUnsolicit.setStatus('mandatory') ncmidcsuCfgRptAlmReporting = MibTableColumn((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10000, 1, 16), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("no", 1), ("yes", 2)))).setMaxAccess("readwrite") if mibBuilder.loadTexts: ncmidcsuCfgRptAlmReporting.setStatus('mandatory') ncmidcsuCfgRptPRMType = MibTableColumn((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10000, 1, 17), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("tELCO", 1), ("uSER", 2)))).setMaxAccess("readwrite") if mibBuilder.loadTexts: ncmidcsuCfgRptPRMType.setStatus('mandatory') ncmidcsuCfgCodeRegenCRC = MibTableColumn((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10000, 1, 18), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4))).clone(namedValues=NamedValues(("pass", 1), ("net-to-Eq", 2), ("eq-to-Net", 3), ("both", 4)))).setMaxAccess("readwrite") if mibBuilder.loadTexts: ncmidcsuCfgCodeRegenCRC.setStatus('mandatory') ncmidcsuCfgCodeXYellowAlarm = MibTableColumn((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10000, 1, 19), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4))).clone(namedValues=NamedValues(("off", 1), ("net-to-Eq", 2), ("eq-to-Net", 3), ("both", 4)))).setMaxAccess("readwrite") if mibBuilder.loadTexts: ncmidcsuCfgCodeXYellowAlarm.setStatus('mandatory') ncmidcsuCfgCodeEQFIFO = MibTableColumn((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10000, 1, 20), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("fifteen-bits", 1), ("forty-bits", 2)))).setMaxAccess("readwrite") if mibBuilder.loadTexts: ncmidcsuCfgCodeEQFIFO.setStatus('mandatory') ncmidcsuCfgCodeNETFIFO = MibTableColumn((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10000, 1, 21), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("fifteen-bits", 1), ("forty-bits", 2)))).setMaxAccess("readwrite") if mibBuilder.loadTexts: ncmidcsuCfgCodeNETFIFO.setStatus('mandatory') ncmidcsuCfgCodeTranMode = MibTableColumn((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10000, 1, 22), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("no", 1), ("yes", 2)))).setMaxAccess("readwrite") if mibBuilder.loadTexts: ncmidcsuCfgCodeTranMode.setStatus('mandatory') ncmidcsuCfgCodeSend1sLnkIdle = MibTableColumn((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10000, 1, 23), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("no", 1), ("yes", 2)))).setMaxAccess("readwrite") if mibBuilder.loadTexts: ncmidcsuCfgCodeSend1sLnkIdle.setStatus('mandatory') ncmidcsuCfgAlmSelfTest = MibTableColumn((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10000, 1, 24), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("no", 1), ("yes", 2)))).setMaxAccess("readwrite") if mibBuilder.loadTexts: ncmidcsuCfgAlmSelfTest.setStatus('mandatory') ncmidcsuCfgAlmEnableTestState = MibTableColumn((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10000, 1, 25), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("no", 1), ("yes", 2)))).setMaxAccess("readwrite") if mibBuilder.loadTexts: ncmidcsuCfgAlmEnableTestState.setStatus('mandatory') ncmidcsuCfgAlmUnframedMode = MibTableColumn((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10000, 1, 26), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("no", 1), ("yes", 2)))).setMaxAccess("readwrite") if mibBuilder.loadTexts: ncmidcsuCfgAlmUnframedMode.setStatus('mandatory') ncmidcsuCfgAlmOnEqLoop = MibTableColumn((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10000, 1, 27), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("no", 1), ("yes", 2)))).setMaxAccess("readwrite") if mibBuilder.loadTexts: ncmidcsuCfgAlmOnEqLoop.setStatus('mandatory') ncmidcsuCfgAlmOnNetLoop = MibTableColumn((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10000, 1, 28), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("no", 1), ("yes", 2)))).setMaxAccess("readwrite") if mibBuilder.loadTexts: ncmidcsuCfgAlmOnNetLoop.setStatus('mandatory') ncmidcsuCfgAlmOnPowerUpLoop = MibTableColumn((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10000, 1, 29), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("no", 1), ("yes", 2)))).setMaxAccess("readwrite") if mibBuilder.loadTexts: ncmidcsuCfgAlmOnPowerUpLoop.setStatus('mandatory') ncmidcsuCfgLoopRespLLB = MibTableColumn((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10000, 1, 30), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("no", 1), ("yes", 2)))).setMaxAccess("readwrite") if mibBuilder.loadTexts: ncmidcsuCfgLoopRespLLB.setStatus('mandatory') ncmidcsuCfgLoopRespPLB = MibTableColumn((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10000, 1, 31), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("no", 1), ("yes", 2)))).setMaxAccess("readwrite") if mibBuilder.loadTexts: ncmidcsuCfgLoopRespPLB.setStatus('mandatory') ncmidcsuCfgLoopRespELB = MibTableColumn((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10000, 1, 32), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("no", 1), ("yes", 2)))).setMaxAccess("readwrite") if mibBuilder.loadTexts: ncmidcsuCfgLoopRespELB.setStatus('mandatory') ncmidcsuCfgLoopRespRLB = MibTableColumn((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10000, 1, 33), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("no", 1), ("yes", 2)))).setMaxAccess("readwrite") if mibBuilder.loadTexts: ncmidcsuCfgLoopRespRLB.setStatus('mandatory') ncmidcsuCfgLoopRespLLBTONE = MibTableColumn((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10000, 1, 34), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("no", 1), ("yes", 2)))).setMaxAccess("readwrite") if mibBuilder.loadTexts: ncmidcsuCfgLoopRespLLBTONE.setStatus('mandatory') ncmidcsuCfgLoopRespPLBTONE = MibTableColumn((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10000, 1, 35), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("no", 1), ("yes", 2)))).setMaxAccess("readwrite") if mibBuilder.loadTexts: ncmidcsuCfgLoopRespPLBTONE.setStatus('mandatory') ncmidcsuCfgSendReceiveInBandCode = MibTableColumn((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10000, 1, 36), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("disable", 1), ("enable", 2)))).setMaxAccess("readwrite") if mibBuilder.loadTexts: ncmidcsuCfgSendReceiveInBandCode.setStatus('mandatory') ncmidcsuThresholdIntervalTable = MibTable((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10001), ) if mibBuilder.loadTexts: ncmidcsuThresholdIntervalTable.setStatus('mandatory') ncmidcsuThresholdIntervalEntry = MibTableRow((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10001, 1), ).setIndexNames((0, "VERILINK-ENTERPRISE-NCMIDCSU-MIB", "ncmidcsuThresholdNIDIndex"), (0, "VERILINK-ENTERPRISE-NCMIDCSU-MIB", "ncmidcsuThresholdIntervalIndex")) if mibBuilder.loadTexts: ncmidcsuThresholdIntervalEntry.setStatus('mandatory') ncmidcsuThresholdNIDIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10001, 1, 1), Integer32().subtype(subtypeSpec=ValueRangeConstraint(1, 2147483647))).setMaxAccess("readonly") if mibBuilder.loadTexts: ncmidcsuThresholdNIDIndex.setStatus('mandatory') ncmidcsuThresholdIntervalIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10001, 1, 2), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: ncmidcsuThresholdIntervalIndex.setStatus('mandatory') ncmidcsuBERThreshold = MibTableColumn((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10001, 1, 3), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4, 5, 6, 7))).clone(namedValues=NamedValues(("disable", 1), ("ten-to-Four", 2), ("ten-to-Five", 3), ("ten-to-Six", 4), ("ten-to-Seven", 5), ("ten-to-Eight", 6), ("ten-to-Nine", 7)))).setMaxAccess("readwrite") if mibBuilder.loadTexts: ncmidcsuBERThreshold.setStatus('mandatory') ncmidcsubpvSecThreshold = MibTableColumn((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10001, 1, 4), Integer32()).setMaxAccess("readwrite") if mibBuilder.loadTexts: ncmidcsubpvSecThreshold.setStatus('mandatory') ncmidcsubpvSecInterval = MibTableColumn((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10001, 1, 5), Integer32()).setMaxAccess("readwrite") if mibBuilder.loadTexts: ncmidcsubpvSecInterval.setStatus('mandatory') ncmidcsuESThreshold = MibTableColumn((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10001, 1, 6), Integer32()).setMaxAccess("readwrite") if mibBuilder.loadTexts: ncmidcsuESThreshold.setStatus('mandatory') ncmidcsuESInterval = MibTableColumn((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10001, 1, 7), Integer32()).setMaxAccess("readwrite") if mibBuilder.loadTexts: ncmidcsuESInterval.setStatus('mandatory') ncmidcsuUASThreshold = MibTableColumn((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10001, 1, 8), Integer32()).setMaxAccess("readwrite") if mibBuilder.loadTexts: ncmidcsuUASThreshold.setStatus('mandatory') ncmidcsuUASInterval = MibTableColumn((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10001, 1, 9), Integer32()).setMaxAccess("readwrite") if mibBuilder.loadTexts: ncmidcsuUASInterval.setStatus('mandatory') ncmidcsuConfigOneTable = MibTable((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10002), ) if mibBuilder.loadTexts: ncmidcsuConfigOneTable.setStatus('mandatory') ncmidcsuConfigOneEntry = MibTableRow((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10002, 1), ).setIndexNames((0, "VERILINK-ENTERPRISE-NCMIDCSU-MIB", "ncmidcsucfg1NIDIndex"), (0, "VERILINK-ENTERPRISE-NCMIDCSU-MIB", "ncmidcsuLineIndex1")) if mibBuilder.loadTexts: ncmidcsuConfigOneEntry.setStatus('mandatory') ncmidcsucfg1NIDIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10002, 1, 1), Integer32().subtype(subtypeSpec=ValueRangeConstraint(1, 2147483647))).setMaxAccess("readonly") if mibBuilder.loadTexts: ncmidcsucfg1NIDIndex.setStatus('mandatory') ncmidcsuLineIndex1 = MibTableColumn((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10002, 1, 2), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: ncmidcsuLineIndex1.setStatus('mandatory') ncmidcsuDS0Channel = MibTableColumn((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10002, 1, 3), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 255))).setMaxAccess("readwrite") if mibBuilder.loadTexts: ncmidcsuDS0Channel.setStatus('mandatory') ncmidcsuRLBTimeoutIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10002, 1, 4), Integer32()).setMaxAccess("readwrite") if mibBuilder.loadTexts: ncmidcsuRLBTimeoutIndex.setStatus('mandatory') ncmidcsuNetLofcIndexTime = MibTableColumn((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10002, 1, 5), Integer32()).setMaxAccess("readwrite") if mibBuilder.loadTexts: ncmidcsuNetLofcIndexTime.setStatus('mandatory') ncmidcsuTiming = MibTableColumn((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10002, 1, 6), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4, 5, 6, 7, 8))).clone(namedValues=NamedValues(("timing", 1), ("internal", 2), ("external-422", 3), ("reserved", 4), ("net", 5), ("eq", 6), ("reserved-two", 7), ("dsu", 8)))).setMaxAccess("readwrite") if mibBuilder.loadTexts: ncmidcsuTiming.setStatus('mandatory') ncmidcsuLineCode = MibTableColumn((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10002, 1, 7), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("ami", 1), ("b8zs", 2)))).setMaxAccess("readwrite") if mibBuilder.loadTexts: ncmidcsuLineCode.setStatus('mandatory') ncmidcsuMode = MibTableColumn((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10002, 1, 8), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("mode-56k", 1), ("mode-64k", 2)))).setMaxAccess("readwrite") if mibBuilder.loadTexts: ncmidcsuMode.setStatus('mandatory') ncmidcsuClock = MibTableColumn((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10002, 1, 9), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3))).clone(namedValues=NamedValues(("sT", 1), ("iNVST", 2), ("tT", 3)))).setMaxAccess("readwrite") if mibBuilder.loadTexts: ncmidcsuClock.setStatus('mandatory') ncmidcsuScramble = MibTableColumn((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10002, 1, 10), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("off", 1), ("on", 2)))).setMaxAccess("readwrite") if mibBuilder.loadTexts: ncmidcsuScramble.setStatus('mandatory') ncmidcsuLosLead = MibTableColumn((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10002, 1, 11), Integer32()).setMaxAccess("readwrite") if mibBuilder.loadTexts: ncmidcsuLosLead.setStatus('mandatory') ncmidcsuPortLoopEnable = MibTableColumn((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10002, 1, 12), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("no", 1), ("yes", 2)))).setMaxAccess("readwrite") if mibBuilder.loadTexts: ncmidcsuPortLoopEnable.setStatus('mandatory') ncmidcsuDataInvert = MibTableColumn((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10002, 1, 13), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("disable", 1), ("enable", 2)))).setMaxAccess("readwrite") if mibBuilder.loadTexts: ncmidcsuDataInvert.setStatus('mandatory') ncmidcsuTimingUnit = MibTableColumn((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10002, 1, 14), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("disable", 1), ("enable", 2)))).setMaxAccess("readwrite") if mibBuilder.loadTexts: ncmidcsuTimingUnit.setStatus('mandatory') ncmidcsuAlarmReporting = MibTableColumn((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10002, 1, 15), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("no", 1), ("yes", 2)))).setMaxAccess("readwrite") if mibBuilder.loadTexts: ncmidcsuAlarmReporting.setStatus('mandatory') ncmidcsuDiagnosticTable = MibTable((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10003), ) if mibBuilder.loadTexts: ncmidcsuDiagnosticTable.setStatus('mandatory') ncmidcsuDiagnosticEntry = MibTableRow((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10003, 1), ).setIndexNames((0, "VERILINK-ENTERPRISE-NCMIDCSU-MIB", "ncmidcsuDiagNIDIndex"), (0, "VERILINK-ENTERPRISE-NCMIDCSU-MIB", "ncmidcsuDiagnosticIndex")) if mibBuilder.loadTexts: ncmidcsuDiagnosticEntry.setStatus('mandatory') ncmidcsuDiagNIDIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10003, 1, 1), Integer32().subtype(subtypeSpec=ValueRangeConstraint(1, 2147483647))).setMaxAccess("readonly") if mibBuilder.loadTexts: ncmidcsuDiagNIDIndex.setStatus('mandatory') ncmidcsuDiagnosticIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10003, 1, 2), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: ncmidcsuDiagnosticIndex.setStatus('mandatory') ncmidcsuAlarmSetDelay = MibTableColumn((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10003, 1, 3), Integer32()).setMaxAccess("readwrite") if mibBuilder.loadTexts: ncmidcsuAlarmSetDelay.setStatus('mandatory') ncmidcsuAlarmClearDelay = MibTableColumn((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10003, 1, 4), Integer32()).setMaxAccess("readwrite") if mibBuilder.loadTexts: ncmidcsuAlarmClearDelay.setStatus('mandatory') ncmidcsuAlarmEnable = MibTableColumn((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10003, 1, 5), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("disable", 1), ("enable", 2)))).setMaxAccess("readwrite") if mibBuilder.loadTexts: ncmidcsuAlarmEnable.setStatus('mandatory') ncmidcsuLoopback = MibTableColumn((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10003, 1, 6), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4, 5, 6, 7, 8, 9, 10))).clone(namedValues=NamedValues(("csu-Payload-Loop-Back", 1), ("line-Loop-Back", 2), ("repeater-Loop-Back", 3), ("csu-Equip-Loop-Back", 4), ("csu-No-Loop-Back", 5), ("deactivate-LLB-and-PLB", 6), ("deactivate-ELB-and-RLB", 7), ("deactivate-Payload-Loop-Back", 8), ("send-Inband-Loop-Up", 9), ("send-Inband-Loop-Down", 10)))).setMaxAccess("readwrite") if mibBuilder.loadTexts: ncmidcsuLoopback.setStatus('mandatory') ncmdteloops = MibTableColumn((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10003, 1, 7), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4, 5, 6))).clone(namedValues=NamedValues(("no-loop", 1), ("near-on", 2), ("near-off", 3), ("far-on", 4), ("far-off", 5), ("repeater-loopback", 6)))).setMaxAccess("readwrite") if mibBuilder.loadTexts: ncmdteloops.setStatus('mandatory') ncmidcsuTestPattern = MibTableColumn((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10003, 1, 8), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4, 5))).clone(namedValues=NamedValues(("no-test", 1), ("qrss", 2), ("one-in-eight", 3), ("three-in-twenty-four", 4), ("all-ones", 5)))).setMaxAccess("readwrite") if mibBuilder.loadTexts: ncmidcsuTestPattern.setStatus('mandatory') ncmidcsuResetPerfReg = MibTableColumn((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10003, 1, 9), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("no", 1), ("yes", 2)))).setMaxAccess("readwrite") if mibBuilder.loadTexts: ncmidcsuResetPerfReg.setStatus('mandatory') ncmidcsuTestErrorCounter = MibTableColumn((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10003, 1, 10), Gauge32()).setMaxAccess("readonly") if mibBuilder.loadTexts: ncmidcsuTestErrorCounter.setStatus('mandatory') ncmidcsuTestSecondsRemain = MibTableColumn((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10003, 1, 11), Gauge32()).setMaxAccess("readonly") if mibBuilder.loadTexts: ncmidcsuTestSecondsRemain.setStatus('mandatory') ncmidcsuTestTimeSeconds = MibTableColumn((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10003, 1, 12), Integer32()).setMaxAccess("readwrite") if mibBuilder.loadTexts: ncmidcsuTestTimeSeconds.setStatus('mandatory') ncmidcsuNetLOFCIndexTime = MibTableColumn((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10003, 1, 13), Integer32()).setMaxAccess("readwrite") if mibBuilder.loadTexts: ncmidcsuNetLOFCIndexTime.setStatus('mandatory') ncmidcsuChannelMask = MibTableColumn((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10003, 1, 14), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 255))).setMaxAccess("readwrite") if mibBuilder.loadTexts: ncmidcsuChannelMask.setStatus('mandatory') ncmidcsuApplication = MibTableColumn((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10003, 1, 15), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3))).clone(namedValues=NamedValues(("none", 1), ("csu", 2), ("smds", 3)))).setMaxAccess("readwrite") if mibBuilder.loadTexts: ncmidcsuApplication.setStatus('mandatory') ncmidcsuTestIntervalIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10003, 1, 16), Integer32()).setMaxAccess("readwrite") if mibBuilder.loadTexts: ncmidcsuTestIntervalIndex.setStatus('mandatory') mibBuilder.exportSymbols("VERILINK-ENTERPRISE-NCMIDCSU-MIB", ncmidcsuCfgLoopRespLLB=ncmidcsuCfgLoopRespLLB, ncmidcsuAlarmReporting=ncmidcsuAlarmReporting, ncmidcsuUASInterval=ncmidcsuUASInterval, ncmidcsuTiming=ncmidcsuTiming, ncmidcsuBERThreshold=ncmidcsuBERThreshold, ncmidcsuLineIndex1=ncmidcsuLineIndex1, ncmidcsuESThreshold=ncmidcsuESThreshold, ncmidcsuCfgLoopRespLLBTONE=ncmidcsuCfgLoopRespLLBTONE, ncmidcsuConfigOneTable=ncmidcsuConfigOneTable, ncmidcsuScramble=ncmidcsuScramble, ncmidcsuCfgCodeXYellowAlarm=ncmidcsuCfgCodeXYellowAlarm, ncmidcsuDiagNIDIndex=ncmidcsuDiagNIDIndex, ncmidcsuExcessiveError=ncmidcsuExcessiveError, ncmidcsuPortLoopEnable=ncmidcsuPortLoopEnable, ncmidcsuThresholdIntervalIndex=ncmidcsuThresholdIntervalIndex, ncmidcsubpvSecThreshold=ncmidcsubpvSecThreshold, ncmidcsuDiagnosticEntry=ncmidcsuDiagnosticEntry, ncmidcsuConfigTable=ncmidcsuConfigTable, ncmidcsuESInterval=ncmidcsuESInterval, ncmidcsuCfgRptPRMType=ncmidcsuCfgRptPRMType, ncmidcsuTestTimeSeconds=ncmidcsuTestTimeSeconds, ncmidcsuCfgRptAlmReporting=ncmidcsuCfgRptAlmReporting, ncmidcsuRLBTimeoutIndex=ncmidcsuRLBTimeoutIndex, ncmdteloops=ncmdteloops, ncmidcsuOutOfFrame=ncmidcsuOutOfFrame, ncmidcsuApplication=ncmidcsuApplication, ncmidcsuAlarmSetDelay=ncmidcsuAlarmSetDelay, ncmidcsuLineIndex=ncmidcsuLineIndex, ncmidcsuConfigEntry=ncmidcsuConfigEntry, ncmidcsuUASThreshold=ncmidcsuUASThreshold, ncmidcsuCfgCodeEQFIFO=ncmidcsuCfgCodeEQFIFO, ncmidcsuCfgRptDataLinkUnsolicit=ncmidcsuCfgRptDataLinkUnsolicit, ncmidcsucfg1NIDIndex=ncmidcsucfg1NIDIndex, ncmidcsuNetLOFCIndexTime=ncmidcsuNetLOFCIndexTime, ncmidcsuCfgLoopRespPLB=ncmidcsuCfgLoopRespPLB, ncmidcsuCfgCodeNETFIFO=ncmidcsuCfgCodeNETFIFO, ncmidcsucfgNIDIndex=ncmidcsucfgNIDIndex, ncmidcsuThresholdNIDIndex=ncmidcsuThresholdNIDIndex, ncmidcsuTestIntervalIndex=ncmidcsuTestIntervalIndex, ncmidcsubpvSecInterval=ncmidcsubpvSecInterval, ncmidcsuCfgAlmSelfTest=ncmidcsuCfgAlmSelfTest, ncmidcsuDiagnosticIndex=ncmidcsuDiagnosticIndex, ncmidcsuConfigOneEntry=ncmidcsuConfigOneEntry, ncmidcsuLosLead=ncmidcsuLosLead, ncmidcsuNetworkKeepAlive=ncmidcsuNetworkKeepAlive, ncmidcsuCfgAlmOnPowerUpLoop=ncmidcsuCfgAlmOnPowerUpLoop, ncmidcsuTimingUnit=ncmidcsuTimingUnit, ncmidcsuAlarmClearDelay=ncmidcsuAlarmClearDelay, ncmidcsuFormat=ncmidcsuFormat, ncmidcsuLoopback=ncmidcsuLoopback, ncmidcsuDiagnosticTable=ncmidcsuDiagnosticTable, ncmidcsuCfgRptSendPRM=ncmidcsuCfgRptSendPRM, ncmidcsuTestPattern=ncmidcsuTestPattern, ncmidcsuCfgLoopRespELB=ncmidcsuCfgLoopRespELB, ncmidcsuNetLofcIndexTime=ncmidcsuNetLofcIndexTime, ncmidcsuNetDensityEnforcement=ncmidcsuNetDensityEnforcement, ncmidcsuTestSigCfgEnable=ncmidcsuTestSigCfgEnable, ncmidcsuCfgCodeSend1sLnkIdle=ncmidcsuCfgCodeSend1sLnkIdle, ncmidcsuMode=ncmidcsuMode, ncmidcsuJitterBuf=ncmidcsuJitterBuf, ncmidcsuLineCode=ncmidcsuLineCode, ncmidcsuCfgCodeRegenCRC=ncmidcsuCfgCodeRegenCRC, ncmidcsuClock=ncmidcsuClock, ncmidcsuNetLossOfSignal=ncmidcsuNetLossOfSignal, ncmidcsuCfgAlmEnableTestState=ncmidcsuCfgAlmEnableTestState, ncmidcsuCfgLoopRespRLB=ncmidcsuCfgLoopRespRLB, ncmidcsuCfgRptPollFarEnd=ncmidcsuCfgRptPollFarEnd, ncmidcsuCfgLoopRespPLBTONE=ncmidcsuCfgLoopRespPLBTONE, ncmidcsuThresholdIntervalEntry=ncmidcsuThresholdIntervalEntry, ncmidcsuDS0Channel=ncmidcsuDS0Channel, ncmidcsuTestSigCfgFrameSignal=ncmidcsuTestSigCfgFrameSignal, ncmidcsuDataInvert=ncmidcsuDataInvert, ncmidcsuNetLineBuildOut=ncmidcsuNetLineBuildOut, ncmidcsuResetPerfReg=ncmidcsuResetPerfReg, ncmidcsuCfgCodeTranMode=ncmidcsuCfgCodeTranMode, ncmidcsuCfgAlmUnframedMode=ncmidcsuCfgAlmUnframedMode, ncmidcsuCfgSendReceiveInBandCode=ncmidcsuCfgSendReceiveInBandCode, ncmidcsuTestErrorCounter=ncmidcsuTestErrorCounter, ncmidcsuChannelMask=ncmidcsuChannelMask, ncmidcsuCfgAlmOnEqLoop=ncmidcsuCfgAlmOnEqLoop, ncmidcsuCfgAlmOnNetLoop=ncmidcsuCfgAlmOnNetLoop, ncmidcsuThresholdIntervalTable=ncmidcsuThresholdIntervalTable, ncmidcsuTestSecondsRemain=ncmidcsuTestSecondsRemain, ncmidcsuAlarmEnable=ncmidcsuAlarmEnable)
(octet_string, integer, object_identifier) = mibBuilder.importSymbols('ASN1', 'OctetString', 'Integer', 'ObjectIdentifier') (named_values,) = mibBuilder.importSymbols('ASN1-ENUMERATION', 'NamedValues') (constraints_union, value_size_constraint, constraints_intersection, value_range_constraint, single_value_constraint) = mibBuilder.importSymbols('ASN1-REFINEMENT', 'ConstraintsUnion', 'ValueSizeConstraint', 'ConstraintsIntersection', 'ValueRangeConstraint', 'SingleValueConstraint') (module_compliance, notification_group) = mibBuilder.importSymbols('SNMPv2-CONF', 'ModuleCompliance', 'NotificationGroup') (notification_type, module_identity, mib_scalar, mib_table, mib_table_row, mib_table_column, ip_address, object_identity, time_ticks, counter64, counter32, unsigned32, iso, bits, integer32, mib_identifier, gauge32) = mibBuilder.importSymbols('SNMPv2-SMI', 'NotificationType', 'ModuleIdentity', 'MibScalar', 'MibTable', 'MibTableRow', 'MibTableColumn', 'IpAddress', 'ObjectIdentity', 'TimeTicks', 'Counter64', 'Counter32', 'Unsigned32', 'iso', 'Bits', 'Integer32', 'MibIdentifier', 'Gauge32') (textual_convention, display_string) = mibBuilder.importSymbols('SNMPv2-TC', 'TextualConvention', 'DisplayString') (ncm_idcsu,) = mibBuilder.importSymbols('VERILINK-ENTERPRISE-NCMALARM-MIB', 'ncm-idcsu') ncmidcsu_config_table = mib_table((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10000)) if mibBuilder.loadTexts: ncmidcsuConfigTable.setStatus('mandatory') ncmidcsu_config_entry = mib_table_row((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10000, 1)).setIndexNames((0, 'VERILINK-ENTERPRISE-NCMIDCSU-MIB', 'ncmidcsucfgNIDIndex'), (0, 'VERILINK-ENTERPRISE-NCMIDCSU-MIB', 'ncmidcsuLineIndex')) if mibBuilder.loadTexts: ncmidcsuConfigEntry.setStatus('mandatory') ncmidcsucfg_nid_index = mib_table_column((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10000, 1, 1), integer32().subtype(subtypeSpec=value_range_constraint(1, 2147483647))).setMaxAccess('readonly') if mibBuilder.loadTexts: ncmidcsucfgNIDIndex.setStatus('mandatory') ncmidcsu_line_index = mib_table_column((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10000, 1, 2), integer32()).setMaxAccess('readonly') if mibBuilder.loadTexts: ncmidcsuLineIndex.setStatus('mandatory') ncmidcsu_net_line_build_out = mib_table_column((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10000, 1, 3), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2, 3))).clone(namedValues=named_values(('db-Zero', 1), ('db-Seven-point-five', 2), ('db-Fifteen', 3)))).setMaxAccess('readwrite') if mibBuilder.loadTexts: ncmidcsuNetLineBuildOut.setStatus('mandatory') ncmidcsu_network_keep_alive = mib_table_column((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10000, 1, 4), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2, 3, 4))).clone(namedValues=named_values(('none', 1), ('loop', 2), ('ais', 3), ('framed-all-ones', 4)))).setMaxAccess('readwrite') if mibBuilder.loadTexts: ncmidcsuNetworkKeepAlive.setStatus('mandatory') ncmidcsu_excessive_error = mib_table_column((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10000, 1, 5), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2))).clone(namedValues=named_values(('signal', 1), ('ais', 2)))).setMaxAccess('readwrite') if mibBuilder.loadTexts: ncmidcsuExcessiveError.setStatus('mandatory') ncmidcsu_out_of_frame = mib_table_column((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10000, 1, 6), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2))).clone(namedValues=named_values(('signal', 1), ('ais', 2)))).setMaxAccess('readwrite') if mibBuilder.loadTexts: ncmidcsuOutOfFrame.setStatus('mandatory') ncmidcsu_format = mib_table_column((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10000, 1, 7), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2, 3, 4))).clone(namedValues=named_values(('unframed', 1), ('sf', 2), ('esf', 3), ('zbtsi', 4)))).setMaxAccess('readwrite') if mibBuilder.loadTexts: ncmidcsuFormat.setStatus('mandatory') ncmidcsu_net_density_enforcement = mib_table_column((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10000, 1, 8), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2, 3, 4, 5))).clone(namedValues=named_values(('none', 1), ('fcc-part-68', 2), ('pub-62411', 3), ('eighty-zeroes', 4), ('fifteen-zeroes', 5)))).setMaxAccess('readwrite') if mibBuilder.loadTexts: ncmidcsuNetDensityEnforcement.setStatus('mandatory') ncmidcsu_net_loss_of_signal = mib_table_column((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10000, 1, 9), integer32()).setMaxAccess('readonly') if mibBuilder.loadTexts: ncmidcsuNetLossOfSignal.setStatus('mandatory') ncmidcsu_jitter_buf = mib_table_column((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10000, 1, 10), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2, 3, 4))).clone(namedValues=named_values(('eq-Net-16-16', 1), ('eq-Net-40-16', 2), ('eq-Net-16-40', 3), ('eq-Net-40-40', 4)))).setMaxAccess('readwrite') if mibBuilder.loadTexts: ncmidcsuJitterBuf.setStatus('mandatory') ncmidcsu_test_sig_cfg_enable = mib_table_column((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10000, 1, 11), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2))).clone(namedValues=named_values(('no', 1), ('yes', 2)))).setMaxAccess('readwrite') if mibBuilder.loadTexts: ncmidcsuTestSigCfgEnable.setStatus('mandatory') ncmidcsu_test_sig_cfg_frame_signal = mib_table_column((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10000, 1, 12), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2))).clone(namedValues=named_values(('no', 1), ('yes', 2)))).setMaxAccess('readwrite') if mibBuilder.loadTexts: ncmidcsuTestSigCfgFrameSignal.setStatus('mandatory') ncmidcsu_cfg_rpt_send_prm = mib_table_column((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10000, 1, 13), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2))).clone(namedValues=named_values(('no', 1), ('yes', 2)))).setMaxAccess('readwrite') if mibBuilder.loadTexts: ncmidcsuCfgRptSendPRM.setStatus('mandatory') ncmidcsu_cfg_rpt_poll_far_end = mib_table_column((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10000, 1, 14), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2))).clone(namedValues=named_values(('no', 1), ('yes', 2)))).setMaxAccess('readwrite') if mibBuilder.loadTexts: ncmidcsuCfgRptPollFarEnd.setStatus('mandatory') ncmidcsu_cfg_rpt_data_link_unsolicit = mib_table_column((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10000, 1, 15), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2))).clone(namedValues=named_values(('no', 1), ('yes', 2)))).setMaxAccess('readwrite') if mibBuilder.loadTexts: ncmidcsuCfgRptDataLinkUnsolicit.setStatus('mandatory') ncmidcsu_cfg_rpt_alm_reporting = mib_table_column((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10000, 1, 16), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2))).clone(namedValues=named_values(('no', 1), ('yes', 2)))).setMaxAccess('readwrite') if mibBuilder.loadTexts: ncmidcsuCfgRptAlmReporting.setStatus('mandatory') ncmidcsu_cfg_rpt_prm_type = mib_table_column((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10000, 1, 17), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2))).clone(namedValues=named_values(('tELCO', 1), ('uSER', 2)))).setMaxAccess('readwrite') if mibBuilder.loadTexts: ncmidcsuCfgRptPRMType.setStatus('mandatory') ncmidcsu_cfg_code_regen_crc = mib_table_column((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10000, 1, 18), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2, 3, 4))).clone(namedValues=named_values(('pass', 1), ('net-to-Eq', 2), ('eq-to-Net', 3), ('both', 4)))).setMaxAccess('readwrite') if mibBuilder.loadTexts: ncmidcsuCfgCodeRegenCRC.setStatus('mandatory') ncmidcsu_cfg_code_x_yellow_alarm = mib_table_column((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10000, 1, 19), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2, 3, 4))).clone(namedValues=named_values(('off', 1), ('net-to-Eq', 2), ('eq-to-Net', 3), ('both', 4)))).setMaxAccess('readwrite') if mibBuilder.loadTexts: ncmidcsuCfgCodeXYellowAlarm.setStatus('mandatory') ncmidcsu_cfg_code_eqfifo = mib_table_column((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10000, 1, 20), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2))).clone(namedValues=named_values(('fifteen-bits', 1), ('forty-bits', 2)))).setMaxAccess('readwrite') if mibBuilder.loadTexts: ncmidcsuCfgCodeEQFIFO.setStatus('mandatory') ncmidcsu_cfg_code_netfifo = mib_table_column((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10000, 1, 21), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2))).clone(namedValues=named_values(('fifteen-bits', 1), ('forty-bits', 2)))).setMaxAccess('readwrite') if mibBuilder.loadTexts: ncmidcsuCfgCodeNETFIFO.setStatus('mandatory') ncmidcsu_cfg_code_tran_mode = mib_table_column((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10000, 1, 22), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2))).clone(namedValues=named_values(('no', 1), ('yes', 2)))).setMaxAccess('readwrite') if mibBuilder.loadTexts: ncmidcsuCfgCodeTranMode.setStatus('mandatory') ncmidcsu_cfg_code_send1s_lnk_idle = mib_table_column((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10000, 1, 23), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2))).clone(namedValues=named_values(('no', 1), ('yes', 2)))).setMaxAccess('readwrite') if mibBuilder.loadTexts: ncmidcsuCfgCodeSend1sLnkIdle.setStatus('mandatory') ncmidcsu_cfg_alm_self_test = mib_table_column((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10000, 1, 24), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2))).clone(namedValues=named_values(('no', 1), ('yes', 2)))).setMaxAccess('readwrite') if mibBuilder.loadTexts: ncmidcsuCfgAlmSelfTest.setStatus('mandatory') ncmidcsu_cfg_alm_enable_test_state = mib_table_column((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10000, 1, 25), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2))).clone(namedValues=named_values(('no', 1), ('yes', 2)))).setMaxAccess('readwrite') if mibBuilder.loadTexts: ncmidcsuCfgAlmEnableTestState.setStatus('mandatory') ncmidcsu_cfg_alm_unframed_mode = mib_table_column((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10000, 1, 26), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2))).clone(namedValues=named_values(('no', 1), ('yes', 2)))).setMaxAccess('readwrite') if mibBuilder.loadTexts: ncmidcsuCfgAlmUnframedMode.setStatus('mandatory') ncmidcsu_cfg_alm_on_eq_loop = mib_table_column((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10000, 1, 27), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2))).clone(namedValues=named_values(('no', 1), ('yes', 2)))).setMaxAccess('readwrite') if mibBuilder.loadTexts: ncmidcsuCfgAlmOnEqLoop.setStatus('mandatory') ncmidcsu_cfg_alm_on_net_loop = mib_table_column((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10000, 1, 28), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2))).clone(namedValues=named_values(('no', 1), ('yes', 2)))).setMaxAccess('readwrite') if mibBuilder.loadTexts: ncmidcsuCfgAlmOnNetLoop.setStatus('mandatory') ncmidcsu_cfg_alm_on_power_up_loop = mib_table_column((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10000, 1, 29), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2))).clone(namedValues=named_values(('no', 1), ('yes', 2)))).setMaxAccess('readwrite') if mibBuilder.loadTexts: ncmidcsuCfgAlmOnPowerUpLoop.setStatus('mandatory') ncmidcsu_cfg_loop_resp_llb = mib_table_column((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10000, 1, 30), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2))).clone(namedValues=named_values(('no', 1), ('yes', 2)))).setMaxAccess('readwrite') if mibBuilder.loadTexts: ncmidcsuCfgLoopRespLLB.setStatus('mandatory') ncmidcsu_cfg_loop_resp_plb = mib_table_column((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10000, 1, 31), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2))).clone(namedValues=named_values(('no', 1), ('yes', 2)))).setMaxAccess('readwrite') if mibBuilder.loadTexts: ncmidcsuCfgLoopRespPLB.setStatus('mandatory') ncmidcsu_cfg_loop_resp_elb = mib_table_column((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10000, 1, 32), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2))).clone(namedValues=named_values(('no', 1), ('yes', 2)))).setMaxAccess('readwrite') if mibBuilder.loadTexts: ncmidcsuCfgLoopRespELB.setStatus('mandatory') ncmidcsu_cfg_loop_resp_rlb = mib_table_column((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10000, 1, 33), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2))).clone(namedValues=named_values(('no', 1), ('yes', 2)))).setMaxAccess('readwrite') if mibBuilder.loadTexts: ncmidcsuCfgLoopRespRLB.setStatus('mandatory') ncmidcsu_cfg_loop_resp_llbtone = mib_table_column((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10000, 1, 34), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2))).clone(namedValues=named_values(('no', 1), ('yes', 2)))).setMaxAccess('readwrite') if mibBuilder.loadTexts: ncmidcsuCfgLoopRespLLBTONE.setStatus('mandatory') ncmidcsu_cfg_loop_resp_plbtone = mib_table_column((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10000, 1, 35), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2))).clone(namedValues=named_values(('no', 1), ('yes', 2)))).setMaxAccess('readwrite') if mibBuilder.loadTexts: ncmidcsuCfgLoopRespPLBTONE.setStatus('mandatory') ncmidcsu_cfg_send_receive_in_band_code = mib_table_column((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10000, 1, 36), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2))).clone(namedValues=named_values(('disable', 1), ('enable', 2)))).setMaxAccess('readwrite') if mibBuilder.loadTexts: ncmidcsuCfgSendReceiveInBandCode.setStatus('mandatory') ncmidcsu_threshold_interval_table = mib_table((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10001)) if mibBuilder.loadTexts: ncmidcsuThresholdIntervalTable.setStatus('mandatory') ncmidcsu_threshold_interval_entry = mib_table_row((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10001, 1)).setIndexNames((0, 'VERILINK-ENTERPRISE-NCMIDCSU-MIB', 'ncmidcsuThresholdNIDIndex'), (0, 'VERILINK-ENTERPRISE-NCMIDCSU-MIB', 'ncmidcsuThresholdIntervalIndex')) if mibBuilder.loadTexts: ncmidcsuThresholdIntervalEntry.setStatus('mandatory') ncmidcsu_threshold_nid_index = mib_table_column((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10001, 1, 1), integer32().subtype(subtypeSpec=value_range_constraint(1, 2147483647))).setMaxAccess('readonly') if mibBuilder.loadTexts: ncmidcsuThresholdNIDIndex.setStatus('mandatory') ncmidcsu_threshold_interval_index = mib_table_column((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10001, 1, 2), integer32()).setMaxAccess('readonly') if mibBuilder.loadTexts: ncmidcsuThresholdIntervalIndex.setStatus('mandatory') ncmidcsu_ber_threshold = mib_table_column((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10001, 1, 3), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2, 3, 4, 5, 6, 7))).clone(namedValues=named_values(('disable', 1), ('ten-to-Four', 2), ('ten-to-Five', 3), ('ten-to-Six', 4), ('ten-to-Seven', 5), ('ten-to-Eight', 6), ('ten-to-Nine', 7)))).setMaxAccess('readwrite') if mibBuilder.loadTexts: ncmidcsuBERThreshold.setStatus('mandatory') ncmidcsubpv_sec_threshold = mib_table_column((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10001, 1, 4), integer32()).setMaxAccess('readwrite') if mibBuilder.loadTexts: ncmidcsubpvSecThreshold.setStatus('mandatory') ncmidcsubpv_sec_interval = mib_table_column((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10001, 1, 5), integer32()).setMaxAccess('readwrite') if mibBuilder.loadTexts: ncmidcsubpvSecInterval.setStatus('mandatory') ncmidcsu_es_threshold = mib_table_column((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10001, 1, 6), integer32()).setMaxAccess('readwrite') if mibBuilder.loadTexts: ncmidcsuESThreshold.setStatus('mandatory') ncmidcsu_es_interval = mib_table_column((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10001, 1, 7), integer32()).setMaxAccess('readwrite') if mibBuilder.loadTexts: ncmidcsuESInterval.setStatus('mandatory') ncmidcsu_uas_threshold = mib_table_column((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10001, 1, 8), integer32()).setMaxAccess('readwrite') if mibBuilder.loadTexts: ncmidcsuUASThreshold.setStatus('mandatory') ncmidcsu_uas_interval = mib_table_column((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10001, 1, 9), integer32()).setMaxAccess('readwrite') if mibBuilder.loadTexts: ncmidcsuUASInterval.setStatus('mandatory') ncmidcsu_config_one_table = mib_table((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10002)) if mibBuilder.loadTexts: ncmidcsuConfigOneTable.setStatus('mandatory') ncmidcsu_config_one_entry = mib_table_row((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10002, 1)).setIndexNames((0, 'VERILINK-ENTERPRISE-NCMIDCSU-MIB', 'ncmidcsucfg1NIDIndex'), (0, 'VERILINK-ENTERPRISE-NCMIDCSU-MIB', 'ncmidcsuLineIndex1')) if mibBuilder.loadTexts: ncmidcsuConfigOneEntry.setStatus('mandatory') ncmidcsucfg1_nid_index = mib_table_column((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10002, 1, 1), integer32().subtype(subtypeSpec=value_range_constraint(1, 2147483647))).setMaxAccess('readonly') if mibBuilder.loadTexts: ncmidcsucfg1NIDIndex.setStatus('mandatory') ncmidcsu_line_index1 = mib_table_column((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10002, 1, 2), integer32()).setMaxAccess('readonly') if mibBuilder.loadTexts: ncmidcsuLineIndex1.setStatus('mandatory') ncmidcsu_ds0_channel = mib_table_column((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10002, 1, 3), display_string().subtype(subtypeSpec=value_size_constraint(0, 255))).setMaxAccess('readwrite') if mibBuilder.loadTexts: ncmidcsuDS0Channel.setStatus('mandatory') ncmidcsu_rlb_timeout_index = mib_table_column((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10002, 1, 4), integer32()).setMaxAccess('readwrite') if mibBuilder.loadTexts: ncmidcsuRLBTimeoutIndex.setStatus('mandatory') ncmidcsu_net_lofc_index_time = mib_table_column((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10002, 1, 5), integer32()).setMaxAccess('readwrite') if mibBuilder.loadTexts: ncmidcsuNetLofcIndexTime.setStatus('mandatory') ncmidcsu_timing = mib_table_column((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10002, 1, 6), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2, 3, 4, 5, 6, 7, 8))).clone(namedValues=named_values(('timing', 1), ('internal', 2), ('external-422', 3), ('reserved', 4), ('net', 5), ('eq', 6), ('reserved-two', 7), ('dsu', 8)))).setMaxAccess('readwrite') if mibBuilder.loadTexts: ncmidcsuTiming.setStatus('mandatory') ncmidcsu_line_code = mib_table_column((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10002, 1, 7), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2))).clone(namedValues=named_values(('ami', 1), ('b8zs', 2)))).setMaxAccess('readwrite') if mibBuilder.loadTexts: ncmidcsuLineCode.setStatus('mandatory') ncmidcsu_mode = mib_table_column((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10002, 1, 8), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2))).clone(namedValues=named_values(('mode-56k', 1), ('mode-64k', 2)))).setMaxAccess('readwrite') if mibBuilder.loadTexts: ncmidcsuMode.setStatus('mandatory') ncmidcsu_clock = mib_table_column((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10002, 1, 9), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2, 3))).clone(namedValues=named_values(('sT', 1), ('iNVST', 2), ('tT', 3)))).setMaxAccess('readwrite') if mibBuilder.loadTexts: ncmidcsuClock.setStatus('mandatory') ncmidcsu_scramble = mib_table_column((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10002, 1, 10), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2))).clone(namedValues=named_values(('off', 1), ('on', 2)))).setMaxAccess('readwrite') if mibBuilder.loadTexts: ncmidcsuScramble.setStatus('mandatory') ncmidcsu_los_lead = mib_table_column((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10002, 1, 11), integer32()).setMaxAccess('readwrite') if mibBuilder.loadTexts: ncmidcsuLosLead.setStatus('mandatory') ncmidcsu_port_loop_enable = mib_table_column((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10002, 1, 12), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2))).clone(namedValues=named_values(('no', 1), ('yes', 2)))).setMaxAccess('readwrite') if mibBuilder.loadTexts: ncmidcsuPortLoopEnable.setStatus('mandatory') ncmidcsu_data_invert = mib_table_column((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10002, 1, 13), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2))).clone(namedValues=named_values(('disable', 1), ('enable', 2)))).setMaxAccess('readwrite') if mibBuilder.loadTexts: ncmidcsuDataInvert.setStatus('mandatory') ncmidcsu_timing_unit = mib_table_column((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10002, 1, 14), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2))).clone(namedValues=named_values(('disable', 1), ('enable', 2)))).setMaxAccess('readwrite') if mibBuilder.loadTexts: ncmidcsuTimingUnit.setStatus('mandatory') ncmidcsu_alarm_reporting = mib_table_column((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10002, 1, 15), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2))).clone(namedValues=named_values(('no', 1), ('yes', 2)))).setMaxAccess('readwrite') if mibBuilder.loadTexts: ncmidcsuAlarmReporting.setStatus('mandatory') ncmidcsu_diagnostic_table = mib_table((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10003)) if mibBuilder.loadTexts: ncmidcsuDiagnosticTable.setStatus('mandatory') ncmidcsu_diagnostic_entry = mib_table_row((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10003, 1)).setIndexNames((0, 'VERILINK-ENTERPRISE-NCMIDCSU-MIB', 'ncmidcsuDiagNIDIndex'), (0, 'VERILINK-ENTERPRISE-NCMIDCSU-MIB', 'ncmidcsuDiagnosticIndex')) if mibBuilder.loadTexts: ncmidcsuDiagnosticEntry.setStatus('mandatory') ncmidcsu_diag_nid_index = mib_table_column((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10003, 1, 1), integer32().subtype(subtypeSpec=value_range_constraint(1, 2147483647))).setMaxAccess('readonly') if mibBuilder.loadTexts: ncmidcsuDiagNIDIndex.setStatus('mandatory') ncmidcsu_diagnostic_index = mib_table_column((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10003, 1, 2), integer32()).setMaxAccess('readonly') if mibBuilder.loadTexts: ncmidcsuDiagnosticIndex.setStatus('mandatory') ncmidcsu_alarm_set_delay = mib_table_column((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10003, 1, 3), integer32()).setMaxAccess('readwrite') if mibBuilder.loadTexts: ncmidcsuAlarmSetDelay.setStatus('mandatory') ncmidcsu_alarm_clear_delay = mib_table_column((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10003, 1, 4), integer32()).setMaxAccess('readwrite') if mibBuilder.loadTexts: ncmidcsuAlarmClearDelay.setStatus('mandatory') ncmidcsu_alarm_enable = mib_table_column((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10003, 1, 5), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2))).clone(namedValues=named_values(('disable', 1), ('enable', 2)))).setMaxAccess('readwrite') if mibBuilder.loadTexts: ncmidcsuAlarmEnable.setStatus('mandatory') ncmidcsu_loopback = mib_table_column((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10003, 1, 6), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2, 3, 4, 5, 6, 7, 8, 9, 10))).clone(namedValues=named_values(('csu-Payload-Loop-Back', 1), ('line-Loop-Back', 2), ('repeater-Loop-Back', 3), ('csu-Equip-Loop-Back', 4), ('csu-No-Loop-Back', 5), ('deactivate-LLB-and-PLB', 6), ('deactivate-ELB-and-RLB', 7), ('deactivate-Payload-Loop-Back', 8), ('send-Inband-Loop-Up', 9), ('send-Inband-Loop-Down', 10)))).setMaxAccess('readwrite') if mibBuilder.loadTexts: ncmidcsuLoopback.setStatus('mandatory') ncmdteloops = mib_table_column((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10003, 1, 7), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2, 3, 4, 5, 6))).clone(namedValues=named_values(('no-loop', 1), ('near-on', 2), ('near-off', 3), ('far-on', 4), ('far-off', 5), ('repeater-loopback', 6)))).setMaxAccess('readwrite') if mibBuilder.loadTexts: ncmdteloops.setStatus('mandatory') ncmidcsu_test_pattern = mib_table_column((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10003, 1, 8), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2, 3, 4, 5))).clone(namedValues=named_values(('no-test', 1), ('qrss', 2), ('one-in-eight', 3), ('three-in-twenty-four', 4), ('all-ones', 5)))).setMaxAccess('readwrite') if mibBuilder.loadTexts: ncmidcsuTestPattern.setStatus('mandatory') ncmidcsu_reset_perf_reg = mib_table_column((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10003, 1, 9), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2))).clone(namedValues=named_values(('no', 1), ('yes', 2)))).setMaxAccess('readwrite') if mibBuilder.loadTexts: ncmidcsuResetPerfReg.setStatus('mandatory') ncmidcsu_test_error_counter = mib_table_column((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10003, 1, 10), gauge32()).setMaxAccess('readonly') if mibBuilder.loadTexts: ncmidcsuTestErrorCounter.setStatus('mandatory') ncmidcsu_test_seconds_remain = mib_table_column((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10003, 1, 11), gauge32()).setMaxAccess('readonly') if mibBuilder.loadTexts: ncmidcsuTestSecondsRemain.setStatus('mandatory') ncmidcsu_test_time_seconds = mib_table_column((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10003, 1, 12), integer32()).setMaxAccess('readwrite') if mibBuilder.loadTexts: ncmidcsuTestTimeSeconds.setStatus('mandatory') ncmidcsu_net_lofc_index_time = mib_table_column((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10003, 1, 13), integer32()).setMaxAccess('readwrite') if mibBuilder.loadTexts: ncmidcsuNetLOFCIndexTime.setStatus('mandatory') ncmidcsu_channel_mask = mib_table_column((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10003, 1, 14), display_string().subtype(subtypeSpec=value_size_constraint(0, 255))).setMaxAccess('readwrite') if mibBuilder.loadTexts: ncmidcsuChannelMask.setStatus('mandatory') ncmidcsu_application = mib_table_column((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10003, 1, 15), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2, 3))).clone(namedValues=named_values(('none', 1), ('csu', 2), ('smds', 3)))).setMaxAccess('readwrite') if mibBuilder.loadTexts: ncmidcsuApplication.setStatus('mandatory') ncmidcsu_test_interval_index = mib_table_column((1, 3, 6, 1, 4, 1, 321, 1, 3027, 10003, 1, 16), integer32()).setMaxAccess('readwrite') if mibBuilder.loadTexts: ncmidcsuTestIntervalIndex.setStatus('mandatory') mibBuilder.exportSymbols('VERILINK-ENTERPRISE-NCMIDCSU-MIB', ncmidcsuCfgLoopRespLLB=ncmidcsuCfgLoopRespLLB, ncmidcsuAlarmReporting=ncmidcsuAlarmReporting, ncmidcsuUASInterval=ncmidcsuUASInterval, ncmidcsuTiming=ncmidcsuTiming, ncmidcsuBERThreshold=ncmidcsuBERThreshold, ncmidcsuLineIndex1=ncmidcsuLineIndex1, ncmidcsuESThreshold=ncmidcsuESThreshold, ncmidcsuCfgLoopRespLLBTONE=ncmidcsuCfgLoopRespLLBTONE, ncmidcsuConfigOneTable=ncmidcsuConfigOneTable, ncmidcsuScramble=ncmidcsuScramble, ncmidcsuCfgCodeXYellowAlarm=ncmidcsuCfgCodeXYellowAlarm, ncmidcsuDiagNIDIndex=ncmidcsuDiagNIDIndex, ncmidcsuExcessiveError=ncmidcsuExcessiveError, ncmidcsuPortLoopEnable=ncmidcsuPortLoopEnable, ncmidcsuThresholdIntervalIndex=ncmidcsuThresholdIntervalIndex, ncmidcsubpvSecThreshold=ncmidcsubpvSecThreshold, ncmidcsuDiagnosticEntry=ncmidcsuDiagnosticEntry, ncmidcsuConfigTable=ncmidcsuConfigTable, ncmidcsuESInterval=ncmidcsuESInterval, ncmidcsuCfgRptPRMType=ncmidcsuCfgRptPRMType, ncmidcsuTestTimeSeconds=ncmidcsuTestTimeSeconds, ncmidcsuCfgRptAlmReporting=ncmidcsuCfgRptAlmReporting, ncmidcsuRLBTimeoutIndex=ncmidcsuRLBTimeoutIndex, ncmdteloops=ncmdteloops, ncmidcsuOutOfFrame=ncmidcsuOutOfFrame, ncmidcsuApplication=ncmidcsuApplication, ncmidcsuAlarmSetDelay=ncmidcsuAlarmSetDelay, ncmidcsuLineIndex=ncmidcsuLineIndex, ncmidcsuConfigEntry=ncmidcsuConfigEntry, ncmidcsuUASThreshold=ncmidcsuUASThreshold, ncmidcsuCfgCodeEQFIFO=ncmidcsuCfgCodeEQFIFO, ncmidcsuCfgRptDataLinkUnsolicit=ncmidcsuCfgRptDataLinkUnsolicit, ncmidcsucfg1NIDIndex=ncmidcsucfg1NIDIndex, ncmidcsuNetLOFCIndexTime=ncmidcsuNetLOFCIndexTime, ncmidcsuCfgLoopRespPLB=ncmidcsuCfgLoopRespPLB, ncmidcsuCfgCodeNETFIFO=ncmidcsuCfgCodeNETFIFO, ncmidcsucfgNIDIndex=ncmidcsucfgNIDIndex, ncmidcsuThresholdNIDIndex=ncmidcsuThresholdNIDIndex, ncmidcsuTestIntervalIndex=ncmidcsuTestIntervalIndex, ncmidcsubpvSecInterval=ncmidcsubpvSecInterval, ncmidcsuCfgAlmSelfTest=ncmidcsuCfgAlmSelfTest, ncmidcsuDiagnosticIndex=ncmidcsuDiagnosticIndex, ncmidcsuConfigOneEntry=ncmidcsuConfigOneEntry, ncmidcsuLosLead=ncmidcsuLosLead, ncmidcsuNetworkKeepAlive=ncmidcsuNetworkKeepAlive, ncmidcsuCfgAlmOnPowerUpLoop=ncmidcsuCfgAlmOnPowerUpLoop, ncmidcsuTimingUnit=ncmidcsuTimingUnit, ncmidcsuAlarmClearDelay=ncmidcsuAlarmClearDelay, ncmidcsuFormat=ncmidcsuFormat, ncmidcsuLoopback=ncmidcsuLoopback, ncmidcsuDiagnosticTable=ncmidcsuDiagnosticTable, ncmidcsuCfgRptSendPRM=ncmidcsuCfgRptSendPRM, ncmidcsuTestPattern=ncmidcsuTestPattern, ncmidcsuCfgLoopRespELB=ncmidcsuCfgLoopRespELB, ncmidcsuNetLofcIndexTime=ncmidcsuNetLofcIndexTime, ncmidcsuNetDensityEnforcement=ncmidcsuNetDensityEnforcement, ncmidcsuTestSigCfgEnable=ncmidcsuTestSigCfgEnable, ncmidcsuCfgCodeSend1sLnkIdle=ncmidcsuCfgCodeSend1sLnkIdle, ncmidcsuMode=ncmidcsuMode, ncmidcsuJitterBuf=ncmidcsuJitterBuf, ncmidcsuLineCode=ncmidcsuLineCode, ncmidcsuCfgCodeRegenCRC=ncmidcsuCfgCodeRegenCRC, ncmidcsuClock=ncmidcsuClock, ncmidcsuNetLossOfSignal=ncmidcsuNetLossOfSignal, ncmidcsuCfgAlmEnableTestState=ncmidcsuCfgAlmEnableTestState, ncmidcsuCfgLoopRespRLB=ncmidcsuCfgLoopRespRLB, ncmidcsuCfgRptPollFarEnd=ncmidcsuCfgRptPollFarEnd, ncmidcsuCfgLoopRespPLBTONE=ncmidcsuCfgLoopRespPLBTONE, ncmidcsuThresholdIntervalEntry=ncmidcsuThresholdIntervalEntry, ncmidcsuDS0Channel=ncmidcsuDS0Channel, ncmidcsuTestSigCfgFrameSignal=ncmidcsuTestSigCfgFrameSignal, ncmidcsuDataInvert=ncmidcsuDataInvert, ncmidcsuNetLineBuildOut=ncmidcsuNetLineBuildOut, ncmidcsuResetPerfReg=ncmidcsuResetPerfReg, ncmidcsuCfgCodeTranMode=ncmidcsuCfgCodeTranMode, ncmidcsuCfgAlmUnframedMode=ncmidcsuCfgAlmUnframedMode, ncmidcsuCfgSendReceiveInBandCode=ncmidcsuCfgSendReceiveInBandCode, ncmidcsuTestErrorCounter=ncmidcsuTestErrorCounter, ncmidcsuChannelMask=ncmidcsuChannelMask, ncmidcsuCfgAlmOnEqLoop=ncmidcsuCfgAlmOnEqLoop, ncmidcsuCfgAlmOnNetLoop=ncmidcsuCfgAlmOnNetLoop, ncmidcsuThresholdIntervalTable=ncmidcsuThresholdIntervalTable, ncmidcsuTestSecondsRemain=ncmidcsuTestSecondsRemain, ncmidcsuAlarmEnable=ncmidcsuAlarmEnable)
class Solution: def countPrimes(self, n: int) -> int: if n <= 2: return 0 isPrime = [False] * 2 + [True] * (n - 2) for i in range(2, int(n**0.5) + 1): if isPrime[i]: for j in range(i * i, n, i): isPrime[j] = False return sum(isPrime)
class Solution: def count_primes(self, n: int) -> int: if n <= 2: return 0 is_prime = [False] * 2 + [True] * (n - 2) for i in range(2, int(n ** 0.5) + 1): if isPrime[i]: for j in range(i * i, n, i): isPrime[j] = False return sum(isPrime)
power = {'BUSES': {'Area': 1.33155, 'Bus/Area': 1.33155, 'Bus/Gate Leakage': 0.00662954, 'Bus/Peak Dynamic': 0.0, 'Bus/Runtime Dynamic': 0.0, 'Bus/Subthreshold Leakage': 0.0691322, 'Bus/Subthreshold Leakage with power gating': 0.0259246, 'Gate Leakage': 0.00662954, 'Peak Dynamic': 0.0, 'Runtime Dynamic': 0.0, 'Subthreshold Leakage': 0.0691322, 'Subthreshold Leakage with power gating': 0.0259246}, 'Core': [{'Area': 32.6082, 'Execution Unit/Area': 8.2042, 'Execution Unit/Complex ALUs/Area': 0.235435, 'Execution Unit/Complex ALUs/Gate Leakage': 0.0132646, 'Execution Unit/Complex ALUs/Peak Dynamic': 0.17631, 'Execution Unit/Complex ALUs/Runtime Dynamic': 0.341171, 'Execution Unit/Complex ALUs/Subthreshold Leakage': 0.20111, 'Execution Unit/Complex ALUs/Subthreshold Leakage with power gating': 0.0754163, 'Execution Unit/Floating Point Units/Area': 4.6585, 'Execution Unit/Floating Point Units/Gate Leakage': 0.0656156, 'Execution Unit/Floating Point Units/Peak Dynamic': 0.806988, 'Execution Unit/Floating Point Units/Runtime Dynamic': 0.304033, 'Execution Unit/Floating Point Units/Subthreshold Leakage': 0.994829, 'Execution Unit/Floating Point Units/Subthreshold Leakage with power gating': 0.373061, 'Execution Unit/Gate Leakage': 0.122718, 'Execution Unit/Instruction Scheduler/Area': 2.17927, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Area': 0.328073, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Gate Leakage': 0.00115349, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Peak Dynamic': 1.20978, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Runtime Dynamic': 0.678107, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Subthreshold Leakage': 0.017004, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Subthreshold Leakage with power gating': 0.00962066, 'Execution Unit/Instruction Scheduler/Gate Leakage': 0.00730101, 'Execution Unit/Instruction Scheduler/Instruction Window/Area': 1.00996, 'Execution Unit/Instruction Scheduler/Instruction Window/Gate Leakage': 0.00529112, 'Execution Unit/Instruction Scheduler/Instruction Window/Peak Dynamic': 2.07911, 'Execution Unit/Instruction Scheduler/Instruction Window/Runtime Dynamic': 1.17424, 'Execution Unit/Instruction Scheduler/Instruction Window/Subthreshold Leakage': 0.0800117, 'Execution Unit/Instruction Scheduler/Instruction Window/Subthreshold Leakage with power gating': 0.0455351, 'Execution Unit/Instruction Scheduler/Peak Dynamic': 4.84781, 'Execution Unit/Instruction Scheduler/ROB/Area': 0.841232, 'Execution Unit/Instruction Scheduler/ROB/Gate Leakage': 0.000856399, 'Execution Unit/Instruction Scheduler/ROB/Peak Dynamic': 1.55892, 'Execution Unit/Instruction Scheduler/ROB/Runtime Dynamic': 0.673457, 'Execution Unit/Instruction Scheduler/ROB/Subthreshold Leakage': 0.0178624, 'Execution Unit/Instruction Scheduler/ROB/Subthreshold Leakage with power gating': 0.00897339, 'Execution Unit/Instruction Scheduler/Runtime Dynamic': 2.5258, 'Execution Unit/Instruction Scheduler/Subthreshold Leakage': 0.114878, 'Execution Unit/Instruction Scheduler/Subthreshold Leakage with power gating': 0.0641291, 'Execution Unit/Integer ALUs/Area': 0.47087, 'Execution Unit/Integer ALUs/Gate Leakage': 0.0265291, 'Execution Unit/Integer ALUs/Peak Dynamic': 0.546557, 'Execution Unit/Integer ALUs/Runtime Dynamic': 0.101344, 'Execution Unit/Integer ALUs/Subthreshold Leakage': 0.40222, 'Execution Unit/Integer ALUs/Subthreshold Leakage with power gating': 0.150833, 'Execution Unit/Peak Dynamic': 7.50583, 'Execution Unit/Register Files/Area': 0.570804, 'Execution Unit/Register Files/Floating Point RF/Area': 0.208131, 'Execution Unit/Register Files/Floating Point RF/Gate Leakage': 0.000232788, 'Execution Unit/Register Files/Floating Point RF/Peak Dynamic': 0.152457, 'Execution Unit/Register Files/Floating Point RF/Runtime Dynamic': 0.0245819, 'Execution Unit/Register Files/Floating Point RF/Subthreshold Leakage': 0.00399698, 'Execution Unit/Register Files/Floating Point RF/Subthreshold Leakage with power gating': 0.00176968, 'Execution Unit/Register Files/Gate Leakage': 0.000622708, 'Execution Unit/Register Files/Integer RF/Area': 0.362673, 'Execution Unit/Register Files/Integer RF/Gate Leakage': 0.00038992, 'Execution Unit/Register Files/Integer RF/Peak Dynamic': 0.249667, 'Execution Unit/Register Files/Integer RF/Runtime Dynamic': 0.181798, 'Execution Unit/Register Files/Integer RF/Subthreshold Leakage': 0.00614175, 'Execution Unit/Register Files/Integer RF/Subthreshold Leakage with power gating': 0.00246675, 'Execution Unit/Register Files/Peak Dynamic': 0.402124, 'Execution Unit/Register Files/Runtime Dynamic': 0.20638, 'Execution Unit/Register Files/Subthreshold Leakage': 0.0101387, 'Execution Unit/Register Files/Subthreshold Leakage with power gating': 0.00423643, 'Execution Unit/Results Broadcast Bus/Area Overhead': 0.0442632, 'Execution Unit/Results Broadcast Bus/Gate Leakage': 0.00607074, 'Execution Unit/Results Broadcast Bus/Peak Dynamic': 0.6516, 'Execution Unit/Results Broadcast Bus/Runtime Dynamic': 1.66803, 'Execution Unit/Results Broadcast Bus/Subthreshold Leakage': 0.0920413, 'Execution Unit/Results Broadcast Bus/Subthreshold Leakage with power gating': 0.0345155, 'Execution Unit/Runtime Dynamic': 5.14676, 'Execution Unit/Subthreshold Leakage': 1.83518, 'Execution Unit/Subthreshold Leakage with power gating': 0.709678, 'Gate Leakage': 0.372997, 'Instruction Fetch Unit/Area': 5.86007, 'Instruction Fetch Unit/Branch Predictor/Area': 0.138516, 'Instruction Fetch Unit/Branch Predictor/Chooser/Area': 0.0435221, 'Instruction Fetch Unit/Branch Predictor/Chooser/Gate Leakage': 0.000278362, 'Instruction Fetch Unit/Branch Predictor/Chooser/Peak Dynamic': 0.0168831, 'Instruction Fetch Unit/Branch Predictor/Chooser/Runtime Dynamic': 0.00323952, 'Instruction Fetch Unit/Branch Predictor/Chooser/Subthreshold Leakage': 0.00759719, 'Instruction Fetch Unit/Branch Predictor/Chooser/Subthreshold Leakage with power gating': 0.0039236, 'Instruction Fetch Unit/Branch Predictor/Gate Leakage': 0.000757657, 'Instruction Fetch Unit/Branch Predictor/Global Predictor/Area': 0.0435221, 'Instruction Fetch Unit/Branch Predictor/Global Predictor/Gate Leakage': 0.000278362, 'Instruction Fetch Unit/Branch Predictor/Global Predictor/Peak Dynamic': 0.0168831, 'Instruction Fetch Unit/Branch Predictor/Global Predictor/Runtime Dynamic': 0.00323952, 'Instruction Fetch Unit/Branch Predictor/Global Predictor/Subthreshold Leakage': 0.00759719, 'Instruction Fetch Unit/Branch Predictor/Global Predictor/Subthreshold Leakage with power gating': 0.0039236, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Area': 0.0257064, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Gate Leakage': 0.000154548, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Peak Dynamic': 0.0142575, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Runtime Dynamic': 0.00281254, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Subthreshold Leakage': 0.00384344, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Subthreshold Leakage with power gating': 0.00198631, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Area': 0.0151917, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Gate Leakage': 8.00196e-05, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Peak Dynamic': 0.00527447, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Runtime Dynamic': 0.00108381, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Subthreshold Leakage': 0.00181347, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Subthreshold Leakage with power gating': 0.000957045, 'Instruction Fetch Unit/Branch Predictor/Peak Dynamic': 0.0597838, 'Instruction Fetch Unit/Branch Predictor/RAS/Area': 0.0105732, 'Instruction Fetch Unit/Branch Predictor/RAS/Gate Leakage': 4.63858e-05, 'Instruction Fetch Unit/Branch Predictor/RAS/Peak Dynamic': 0.0117602, 'Instruction Fetch Unit/Branch Predictor/RAS/Runtime Dynamic': 0.00261155, 'Instruction Fetch Unit/Branch Predictor/RAS/Subthreshold Leakage': 0.000932505, 'Instruction Fetch Unit/Branch Predictor/RAS/Subthreshold Leakage with power gating': 0.000494733, 'Instruction Fetch Unit/Branch Predictor/Runtime Dynamic': 0.0119031, 'Instruction Fetch Unit/Branch Predictor/Subthreshold Leakage': 0.0199703, 'Instruction Fetch Unit/Branch Predictor/Subthreshold Leakage with power gating': 0.0103282, 'Instruction Fetch Unit/Branch Target Buffer/Area': 0.64954, 'Instruction Fetch Unit/Branch Target Buffer/Gate Leakage': 0.00272758, 'Instruction Fetch Unit/Branch Target Buffer/Peak Dynamic': 0.177867, 'Instruction Fetch Unit/Branch Target Buffer/Runtime Dynamic': 0.0313847, 'Instruction Fetch Unit/Branch Target Buffer/Subthreshold Leakage': 0.0811682, 'Instruction Fetch Unit/Branch Target Buffer/Subthreshold Leakage with power gating': 0.0435357, 'Instruction Fetch Unit/Gate Leakage': 0.0590479, 'Instruction Fetch Unit/Instruction Buffer/Area': 0.0226323, 'Instruction Fetch Unit/Instruction Buffer/Gate Leakage': 6.83558e-05, 'Instruction Fetch Unit/Instruction Buffer/Peak Dynamic': 0.606827, 'Instruction Fetch Unit/Instruction Buffer/Runtime Dynamic': 0.174767, 'Instruction Fetch Unit/Instruction Buffer/Subthreshold Leakage': 0.00151885, 'Instruction Fetch Unit/Instruction Buffer/Subthreshold Leakage with power gating': 0.000701682, 'Instruction Fetch Unit/Instruction Cache/Area': 3.14635, 'Instruction Fetch Unit/Instruction Cache/Gate Leakage': 0.029931, 'Instruction Fetch Unit/Instruction Cache/Peak Dynamic': 6.43323, 'Instruction Fetch Unit/Instruction Cache/Runtime Dynamic': 0.498264, 'Instruction Fetch Unit/Instruction Cache/Subthreshold Leakage': 0.367022, 'Instruction Fetch Unit/Instruction Cache/Subthreshold Leakage with power gating': 0.180386, 'Instruction Fetch Unit/Instruction Decoder/Area': 1.85799, 'Instruction Fetch Unit/Instruction Decoder/Gate Leakage': 0.0222493, 'Instruction Fetch Unit/Instruction Decoder/Peak Dynamic': 1.37404, 'Instruction Fetch Unit/Instruction Decoder/Runtime Dynamic': 0.593588, 'Instruction Fetch Unit/Instruction Decoder/Subthreshold Leakage': 0.442943, 'Instruction Fetch Unit/Instruction Decoder/Subthreshold Leakage with power gating': 0.166104, 'Instruction Fetch Unit/Peak Dynamic': 8.96874, 'Instruction Fetch Unit/Runtime Dynamic': 1.30991, 'Instruction Fetch Unit/Subthreshold Leakage': 0.932587, 'Instruction Fetch Unit/Subthreshold Leakage with power gating': 0.408542, 'L2/Area': 4.53318, 'L2/Gate Leakage': 0.015464, 'L2/Peak Dynamic': 0.0417119, 'L2/Runtime Dynamic': 0.00895503, 'L2/Subthreshold Leakage': 0.834142, 'L2/Subthreshold Leakage with power gating': 0.401066, 'Load Store Unit/Area': 8.80969, 'Load Store Unit/Data Cache/Area': 6.84535, 'Load Store Unit/Data Cache/Gate Leakage': 0.0279261, 'Load Store Unit/Data Cache/Peak Dynamic': 7.65323, 'Load Store Unit/Data Cache/Runtime Dynamic': 3.09794, 'Load Store Unit/Data Cache/Subthreshold Leakage': 0.527675, 'Load Store Unit/Data Cache/Subthreshold Leakage with power gating': 0.25085, 'Load Store Unit/Gate Leakage': 0.0351387, 'Load Store Unit/LoadQ/Area': 0.0836782, 'Load Store Unit/LoadQ/Gate Leakage': 0.00059896, 'Load Store Unit/LoadQ/Peak Dynamic': 0.207576, 'Load Store Unit/LoadQ/Runtime Dynamic': 0.207577, 'Load Store Unit/LoadQ/Subthreshold Leakage': 0.00941961, 'Load Store Unit/LoadQ/Subthreshold Leakage with power gating': 0.00536918, 'Load Store Unit/Peak Dynamic': 8.63744, 'Load Store Unit/Runtime Dynamic': 4.32921, 'Load Store Unit/StoreQ/Area': 0.322079, 'Load Store Unit/StoreQ/Gate Leakage': 0.00329971, 'Load Store Unit/StoreQ/Peak Dynamic': 0.511848, 'Load Store Unit/StoreQ/Runtime Dynamic': 1.0237, 'Load Store Unit/StoreQ/Subthreshold Leakage': 0.0345621, 'Load Store Unit/StoreQ/Subthreshold Leakage with power gating': 0.0197004, 'Load Store Unit/Subthreshold 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'Memory Management Unit/Subthreshold Leakage': 0.0769113, 'Memory Management Unit/Subthreshold Leakage with power gating': 0.0399462, 'Peak Dynamic': 30.588, 'Renaming Unit/Area': 0.369768, 'Renaming Unit/FP Front End RAT/Area': 0.168486, 'Renaming Unit/FP Front End RAT/Gate Leakage': 0.00489731, 'Renaming Unit/FP Front End RAT/Peak Dynamic': 3.33511, 'Renaming Unit/FP Front End RAT/Runtime Dynamic': 0.531889, 'Renaming Unit/FP Front End RAT/Subthreshold Leakage': 0.0437281, 'Renaming Unit/FP Front End RAT/Subthreshold Leakage with power gating': 0.024925, 'Renaming Unit/Free List/Area': 0.0414755, 'Renaming Unit/Free List/Gate Leakage': 4.15911e-05, 'Renaming Unit/Free List/Peak Dynamic': 0.0401324, 'Renaming Unit/Free List/Runtime Dynamic': 0.041075, 'Renaming Unit/Free List/Subthreshold Leakage': 0.000670426, 'Renaming Unit/Free List/Subthreshold Leakage with power gating': 0.000377987, 'Renaming Unit/Gate Leakage': 0.00863632, 'Renaming Unit/Int Front End RAT/Area': 0.114751, 'Renaming Unit/Int Front End RAT/Gate Leakage': 0.00038343, 'Renaming Unit/Int Front End RAT/Peak Dynamic': 0.86945, 'Renaming Unit/Int Front End RAT/Runtime Dynamic': 0.345677, 'Renaming Unit/Int Front End RAT/Subthreshold Leakage': 0.00611897, 'Renaming Unit/Int Front End RAT/Subthreshold Leakage with power gating': 0.00348781, 'Renaming Unit/Peak Dynamic': 4.56169, 'Renaming Unit/Runtime Dynamic': 0.918641, 'Renaming Unit/Subthreshold Leakage': 0.070483, 'Renaming Unit/Subthreshold Leakage with power gating': 0.0362779, 'Runtime Dynamic': 11.9779, 'Subthreshold Leakage': 6.21877, 'Subthreshold Leakage with power gating': 2.58311}, {'Area': 32.0201, 'Execution Unit/Area': 7.68434, 'Execution Unit/Complex ALUs/Area': 0.235435, 'Execution Unit/Complex ALUs/Gate Leakage': 0.0132646, 'Execution Unit/Complex ALUs/Peak Dynamic': 0.09189, 'Execution Unit/Complex ALUs/Runtime Dynamic': 0.274863, 'Execution Unit/Complex ALUs/Subthreshold Leakage': 0.20111, 'Execution Unit/Complex 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'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Gate Leakage': 0.000154548, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Peak Dynamic': 0.0142575, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Runtime Dynamic': 0.0012059, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Subthreshold Leakage': 0.00384344, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Subthreshold Leakage with power gating': 0.00198631, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Area': 0.0151917, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Gate Leakage': 8.00196e-05, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Peak Dynamic': 0.00527447, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Runtime Dynamic': 0.00048712, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Subthreshold Leakage': 0.00181347, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Subthreshold Leakage with power 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'Instruction Fetch Unit/Branch Target Buffer/Runtime Dynamic': 0.0115401, 'Instruction Fetch Unit/Branch Target Buffer/Subthreshold Leakage': 0.0811682, 'Instruction Fetch Unit/Branch Target Buffer/Subthreshold Leakage with power gating': 0.0435357, 'Instruction Fetch Unit/Gate Leakage': 0.0589979, 'Instruction Fetch Unit/Instruction Buffer/Area': 0.0226323, 'Instruction Fetch Unit/Instruction Buffer/Gate Leakage': 6.83558e-05, 'Instruction Fetch Unit/Instruction Buffer/Peak Dynamic': 0.606827, 'Instruction Fetch Unit/Instruction Buffer/Runtime Dynamic': 0.0754582, 'Instruction Fetch Unit/Instruction Buffer/Subthreshold Leakage': 0.00151885, 'Instruction Fetch Unit/Instruction Buffer/Subthreshold Leakage with power gating': 0.000701682, 'Instruction Fetch Unit/Instruction Cache/Area': 3.14635, 'Instruction Fetch Unit/Instruction Cache/Gate Leakage': 0.029931, 'Instruction Fetch Unit/Instruction Cache/Peak Dynamic': 4.79979, 'Instruction Fetch Unit/Instruction Cache/Runtime Dynamic': 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'L2/Subthreshold Leakage with power gating': 0.401066, 'Load Store Unit/Area': 8.80901, 'Load Store Unit/Data Cache/Area': 6.84535, 'Load Store Unit/Data Cache/Gate Leakage': 0.0279261, 'Load Store Unit/Data Cache/Peak Dynamic': 3.99851, 'Load Store Unit/Data Cache/Runtime Dynamic': 1.33528, 'Load Store Unit/Data Cache/Subthreshold Leakage': 0.527675, 'Load Store Unit/Data Cache/Subthreshold Leakage with power gating': 0.25085, 'Load Store Unit/Gate Leakage': 0.0350888, 'Load Store Unit/LoadQ/Area': 0.0836782, 'Load Store Unit/LoadQ/Gate Leakage': 0.00059896, 'Load Store Unit/LoadQ/Peak Dynamic': 0.0893374, 'Load Store Unit/LoadQ/Runtime Dynamic': 0.0893374, 'Load Store Unit/LoadQ/Subthreshold Leakage': 0.00941961, 'Load Store Unit/LoadQ/Subthreshold Leakage with power gating': 0.00536918, 'Load Store Unit/Peak Dynamic': 4.42038, 'Load Store Unit/Runtime Dynamic': 1.86519, 'Load Store Unit/StoreQ/Area': 0.322079, 'Load Store Unit/StoreQ/Gate Leakage': 0.00329971, 'Load Store 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'Execution Unit/Complex ALUs/Gate Leakage': 0.0132646, 'Execution Unit/Complex ALUs/Peak Dynamic': 0.0796071, 'Execution Unit/Complex ALUs/Runtime Dynamic': 0.265215, 'Execution Unit/Complex ALUs/Subthreshold Leakage': 0.20111, 'Execution Unit/Complex ALUs/Subthreshold Leakage with power gating': 0.0754163, 'Execution Unit/Floating Point Units/Area': 4.6585, 'Execution Unit/Floating Point Units/Gate Leakage': 0.0656156, 'Execution Unit/Floating Point Units/Peak Dynamic': 0.368265, 'Execution Unit/Floating Point Units/Runtime Dynamic': 0.304033, 'Execution Unit/Floating Point Units/Subthreshold Leakage': 0.994829, 'Execution Unit/Floating Point Units/Subthreshold Leakage with power gating': 0.373061, 'Execution Unit/Gate Leakage': 0.120359, 'Execution Unit/Instruction Scheduler/Area': 1.66526, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Area': 0.275653, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Gate Leakage': 0.000977433, 'Execution Unit/Instruction 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'Execution Unit/Instruction Scheduler/ROB/Area': 0.584388, 'Execution Unit/Instruction Scheduler/ROB/Gate Leakage': 0.00056608, 'Execution Unit/Instruction Scheduler/ROB/Peak Dynamic': 1.10451, 'Execution Unit/Instruction Scheduler/ROB/Runtime Dynamic': 0.197459, 'Execution Unit/Instruction Scheduler/ROB/Subthreshold Leakage': 0.00906853, 'Execution Unit/Instruction Scheduler/ROB/Subthreshold Leakage with power gating': 0.00364446, 'Execution Unit/Instruction Scheduler/Runtime Dynamic': 0.831177, 'Execution Unit/Instruction Scheduler/Subthreshold Leakage': 0.0859892, 'Execution Unit/Instruction Scheduler/Subthreshold Leakage with power gating': 0.047346, 'Execution Unit/Integer ALUs/Area': 0.47087, 'Execution Unit/Integer ALUs/Gate Leakage': 0.0265291, 'Execution Unit/Integer ALUs/Peak Dynamic': 0.220921, 'Execution Unit/Integer ALUs/Runtime Dynamic': 0.101344, 'Execution Unit/Integer ALUs/Subthreshold Leakage': 0.40222, 'Execution Unit/Integer ALUs/Subthreshold Leakage with power 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'Execution Unit/Register Files/Integer RF/Subthreshold Leakage with power gating': 0.00246675, 'Execution Unit/Register Files/Peak Dynamic': 0.175444, 'Execution Unit/Register Files/Runtime Dynamic': 0.0854064, 'Execution Unit/Register Files/Subthreshold Leakage': 0.0101387, 'Execution Unit/Register Files/Subthreshold Leakage with power gating': 0.00423643, 'Execution Unit/Results Broadcast Bus/Area Overhead': 0.0390912, 'Execution Unit/Results Broadcast Bus/Gate Leakage': 0.00537402, 'Execution Unit/Results Broadcast Bus/Peak Dynamic': 0.242947, 'Execution Unit/Results Broadcast Bus/Runtime Dynamic': 0.6168, 'Execution Unit/Results Broadcast Bus/Subthreshold Leakage': 0.081478, 'Execution Unit/Results Broadcast Bus/Subthreshold Leakage with power gating': 0.0305543, 'Execution Unit/Runtime Dynamic': 2.20398, 'Execution Unit/Subthreshold Leakage': 1.79543, 'Execution Unit/Subthreshold Leakage with power gating': 0.688821, 'Gate Leakage': 0.368936, 'Instruction Fetch Unit/Area': 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'Memory Management Unit/Gate Leakage': 0.00808595, 'Memory Management Unit/Itlb/Area': 0.301552, 'Memory Management Unit/Itlb/Gate Leakage': 0.00393464, 'Memory Management Unit/Itlb/Peak Dynamic': 0.286038, 'Memory Management Unit/Itlb/Runtime Dynamic': 0.033295, 'Memory Management Unit/Itlb/Subthreshold Leakage': 0.0413758, 'Memory Management Unit/Itlb/Subthreshold Leakage with power gating': 0.0235842, 'Memory Management Unit/Peak Dynamic': 0.572724, 'Memory Management Unit/Runtime Dynamic': 0.1095, 'Memory Management Unit/Subthreshold Leakage': 0.0766103, 'Memory Management Unit/Subthreshold Leakage with power gating': 0.0398333, 'Peak Dynamic': 20.4958, 'Renaming Unit/Area': 0.303608, 'Renaming Unit/FP Front End RAT/Area': 0.131045, 'Renaming Unit/FP Front End RAT/Gate Leakage': 0.00351123, 'Renaming Unit/FP Front End RAT/Peak Dynamic': 2.51468, 'Renaming Unit/FP Front End RAT/Runtime Dynamic': 0.183015, 'Renaming Unit/FP Front End RAT/Subthreshold Leakage': 0.0308571, 'Renaming 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'Execution Unit/Instruction Scheduler/Area': 1.66526, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Area': 0.275653, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Gate Leakage': 0.000977433, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Peak Dynamic': 1.04181, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Runtime Dynamic': 0.23485, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Subthreshold Leakage': 0.0143453, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Subthreshold Leakage with power gating': 0.00810519, 'Execution Unit/Instruction Scheduler/Gate Leakage': 0.00568913, 'Execution Unit/Instruction Scheduler/Instruction Window/Area': 0.805223, 'Execution Unit/Instruction Scheduler/Instruction Window/Gate Leakage': 0.00414562, 'Execution Unit/Instruction Scheduler/Instruction Window/Peak Dynamic': 1.6763, 'Execution Unit/Instruction Scheduler/Instruction Window/Runtime Dynamic': 0.378805, 'Execution 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'Load Store Unit/LoadQ/Gate Leakage': 0.00059896, 'Load Store Unit/LoadQ/Peak Dynamic': 0.0822764, 'Load Store Unit/LoadQ/Runtime Dynamic': 0.0822764, 'Load Store Unit/LoadQ/Subthreshold Leakage': 0.00941961, 'Load Store Unit/LoadQ/Subthreshold Leakage with power gating': 0.00536918, 'Load Store Unit/Peak Dynamic': 4.16878, 'Load Store Unit/Runtime Dynamic': 1.71569, 'Load Store Unit/StoreQ/Area': 0.322079, 'Load Store Unit/StoreQ/Gate Leakage': 0.00329971, 'Load Store Unit/StoreQ/Peak Dynamic': 0.202879, 'Load Store Unit/StoreQ/Runtime Dynamic': 0.405759, 'Load Store Unit/StoreQ/Subthreshold Leakage': 0.0345621, 'Load Store Unit/StoreQ/Subthreshold Leakage with power gating': 0.0197004, 'Load Store Unit/Subthreshold Leakage': 0.591321, 'Load Store Unit/Subthreshold Leakage with power gating': 0.283293, 'Memory Management Unit/Area': 0.4339, 'Memory Management Unit/Dtlb/Area': 0.0879726, 'Memory Management Unit/Dtlb/Gate Leakage': 0.00088729, 'Memory Management Unit/Dtlb/Peak Dynamic': 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Leakage': 0.00351123, 'Renaming Unit/FP Front End RAT/Peak Dynamic': 2.51468, 'Renaming Unit/FP Front End RAT/Runtime Dynamic': 0.160298, 'Renaming Unit/FP Front End RAT/Subthreshold Leakage': 0.0308571, 'Renaming Unit/FP Front End RAT/Subthreshold Leakage with power gating': 0.0175885, 'Renaming Unit/Free List/Area': 0.0340654, 'Renaming Unit/Free List/Gate Leakage': 2.5481e-05, 'Renaming Unit/Free List/Peak Dynamic': 0.0306032, 'Renaming Unit/Free List/Runtime Dynamic': 0.0125466, 'Renaming Unit/Free List/Subthreshold Leakage': 0.000370144, 'Renaming Unit/Free List/Subthreshold Leakage with power gating': 0.000201064, 'Renaming Unit/Gate Leakage': 0.00708398, 'Renaming Unit/Int Front End RAT/Area': 0.0941223, 'Renaming Unit/Int Front End RAT/Gate Leakage': 0.000283242, 'Renaming Unit/Int Front End RAT/Peak Dynamic': 0.731965, 'Renaming Unit/Int Front End RAT/Runtime Dynamic': 0.117527, 'Renaming Unit/Int Front End RAT/Subthreshold Leakage': 0.00435488, 'Renaming Unit/Int Front End RAT/Subthreshold Leakage with power gating': 0.00248228, 'Renaming Unit/Peak Dynamic': 3.58947, 'Renaming Unit/Runtime Dynamic': 0.290371, 'Renaming Unit/Subthreshold Leakage': 0.0552466, 'Renaming Unit/Subthreshold Leakage with power gating': 0.0276461, 'Runtime Dynamic': 4.76408, 'Subthreshold Leakage': 6.16288, 'Subthreshold Leakage with power gating': 2.55328}], 'DRAM': {'Area': 0, 'Gate Leakage': 0, 'Peak Dynamic': 0.03692902720675173, 'Runtime Dynamic': 0.03692902720675173, 'Subthreshold Leakage': 4.252, 'Subthreshold Leakage with power gating': 4.252}, 'L3': [{'Area': 61.9075, 'Gate Leakage': 0.0484137, 'Peak Dynamic': 0.0450672, 'Runtime Dynamic': 0.0273526, 'Subthreshold Leakage': 6.80085, 'Subthreshold Leakage with power gating': 3.32364}], 'Processor': {'Area': 191.908, 'Gate Leakage': 1.53485, 'Peak Dynamic': 92.1192, 'Peak Power': 125.231, 'Runtime Dynamic': 26.9362, 'Subthreshold Leakage': 31.5774, 'Subthreshold Leakage with power gating': 13.9484, 'Total Cores/Area': 128.669, 'Total Cores/Gate Leakage': 1.4798, 'Total Cores/Peak Dynamic': 92.0742, 'Total Cores/Runtime Dynamic': 26.9088, 'Total Cores/Subthreshold Leakage': 24.7074, 'Total Cores/Subthreshold Leakage with power gating': 10.2429, 'Total L3s/Area': 61.9075, 'Total L3s/Gate Leakage': 0.0484137, 'Total L3s/Peak Dynamic': 0.0450672, 'Total L3s/Runtime Dynamic': 0.0273526, 'Total L3s/Subthreshold Leakage': 6.80085, 'Total L3s/Subthreshold Leakage with power gating': 3.32364, 'Total Leakage': 33.1122, 'Total NoCs/Area': 1.33155, 'Total NoCs/Gate Leakage': 0.00662954, 'Total NoCs/Peak Dynamic': 0.0, 'Total NoCs/Runtime Dynamic': 0.0, 'Total NoCs/Subthreshold Leakage': 0.0691322, 'Total NoCs/Subthreshold Leakage with power gating': 0.0259246}}
power = {'BUSES': {'Area': 1.33155, 'Bus/Area': 1.33155, 'Bus/Gate Leakage': 0.00662954, 'Bus/Peak Dynamic': 0.0, 'Bus/Runtime Dynamic': 0.0, 'Bus/Subthreshold Leakage': 0.0691322, 'Bus/Subthreshold Leakage with power gating': 0.0259246, 'Gate Leakage': 0.00662954, 'Peak Dynamic': 0.0, 'Runtime Dynamic': 0.0, 'Subthreshold Leakage': 0.0691322, 'Subthreshold Leakage with power gating': 0.0259246}, 'Core': [{'Area': 32.6082, 'Execution Unit/Area': 8.2042, 'Execution Unit/Complex ALUs/Area': 0.235435, 'Execution Unit/Complex ALUs/Gate Leakage': 0.0132646, 'Execution Unit/Complex ALUs/Peak Dynamic': 0.17631, 'Execution Unit/Complex ALUs/Runtime Dynamic': 0.341171, 'Execution Unit/Complex ALUs/Subthreshold Leakage': 0.20111, 'Execution Unit/Complex ALUs/Subthreshold Leakage with power gating': 0.0754163, 'Execution Unit/Floating Point Units/Area': 4.6585, 'Execution Unit/Floating Point Units/Gate Leakage': 0.0656156, 'Execution Unit/Floating Point Units/Peak Dynamic': 0.806988, 'Execution Unit/Floating Point Units/Runtime Dynamic': 0.304033, 'Execution Unit/Floating Point Units/Subthreshold Leakage': 0.994829, 'Execution Unit/Floating Point Units/Subthreshold Leakage with power gating': 0.373061, 'Execution Unit/Gate Leakage': 0.122718, 'Execution Unit/Instruction Scheduler/Area': 2.17927, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Area': 0.328073, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Gate Leakage': 0.00115349, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Peak Dynamic': 1.20978, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Runtime Dynamic': 0.678107, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Subthreshold Leakage': 0.017004, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Subthreshold Leakage with power gating': 0.00962066, 'Execution Unit/Instruction Scheduler/Gate Leakage': 0.00730101, 'Execution Unit/Instruction Scheduler/Instruction Window/Area': 1.00996, 'Execution Unit/Instruction Scheduler/Instruction Window/Gate Leakage': 0.00529112, 'Execution Unit/Instruction Scheduler/Instruction Window/Peak Dynamic': 2.07911, 'Execution Unit/Instruction Scheduler/Instruction Window/Runtime Dynamic': 1.17424, 'Execution Unit/Instruction Scheduler/Instruction Window/Subthreshold Leakage': 0.0800117, 'Execution Unit/Instruction Scheduler/Instruction Window/Subthreshold Leakage with power gating': 0.0455351, 'Execution Unit/Instruction Scheduler/Peak Dynamic': 4.84781, 'Execution Unit/Instruction Scheduler/ROB/Area': 0.841232, 'Execution Unit/Instruction Scheduler/ROB/Gate Leakage': 0.000856399, 'Execution Unit/Instruction Scheduler/ROB/Peak Dynamic': 1.55892, 'Execution Unit/Instruction Scheduler/ROB/Runtime Dynamic': 0.673457, 'Execution Unit/Instruction Scheduler/ROB/Subthreshold Leakage': 0.0178624, 'Execution Unit/Instruction Scheduler/ROB/Subthreshold Leakage with power gating': 0.00897339, 'Execution Unit/Instruction Scheduler/Runtime Dynamic': 2.5258, 'Execution Unit/Instruction Scheduler/Subthreshold Leakage': 0.114878, 'Execution Unit/Instruction Scheduler/Subthreshold Leakage with power gating': 0.0641291, 'Execution Unit/Integer ALUs/Area': 0.47087, 'Execution Unit/Integer ALUs/Gate Leakage': 0.0265291, 'Execution Unit/Integer ALUs/Peak Dynamic': 0.546557, 'Execution Unit/Integer ALUs/Runtime Dynamic': 0.101344, 'Execution Unit/Integer ALUs/Subthreshold Leakage': 0.40222, 'Execution Unit/Integer ALUs/Subthreshold Leakage with power gating': 0.150833, 'Execution Unit/Peak Dynamic': 7.50583, 'Execution Unit/Register Files/Area': 0.570804, 'Execution Unit/Register Files/Floating Point RF/Area': 0.208131, 'Execution Unit/Register Files/Floating Point RF/Gate Leakage': 0.000232788, 'Execution Unit/Register Files/Floating Point RF/Peak Dynamic': 0.152457, 'Execution Unit/Register Files/Floating Point RF/Runtime Dynamic': 0.0245819, 'Execution Unit/Register Files/Floating Point RF/Subthreshold Leakage': 0.00399698, 'Execution Unit/Register Files/Floating Point RF/Subthreshold Leakage with power gating': 0.00176968, 'Execution Unit/Register Files/Gate Leakage': 0.000622708, 'Execution Unit/Register Files/Integer RF/Area': 0.362673, 'Execution Unit/Register Files/Integer RF/Gate Leakage': 0.00038992, 'Execution Unit/Register Files/Integer RF/Peak Dynamic': 0.249667, 'Execution Unit/Register Files/Integer RF/Runtime Dynamic': 0.181798, 'Execution Unit/Register Files/Integer RF/Subthreshold Leakage': 0.00614175, 'Execution Unit/Register Files/Integer RF/Subthreshold Leakage with power gating': 0.00246675, 'Execution Unit/Register Files/Peak Dynamic': 0.402124, 'Execution Unit/Register Files/Runtime Dynamic': 0.20638, 'Execution Unit/Register Files/Subthreshold Leakage': 0.0101387, 'Execution Unit/Register Files/Subthreshold Leakage with power gating': 0.00423643, 'Execution Unit/Results Broadcast Bus/Area Overhead': 0.0442632, 'Execution Unit/Results Broadcast Bus/Gate Leakage': 0.00607074, 'Execution Unit/Results Broadcast Bus/Peak Dynamic': 0.6516, 'Execution Unit/Results Broadcast Bus/Runtime Dynamic': 1.66803, 'Execution Unit/Results Broadcast Bus/Subthreshold Leakage': 0.0920413, 'Execution Unit/Results Broadcast Bus/Subthreshold Leakage with power gating': 0.0345155, 'Execution Unit/Runtime Dynamic': 5.14676, 'Execution Unit/Subthreshold Leakage': 1.83518, 'Execution Unit/Subthreshold Leakage with power gating': 0.709678, 'Gate Leakage': 0.372997, 'Instruction Fetch Unit/Area': 5.86007, 'Instruction Fetch Unit/Branch Predictor/Area': 0.138516, 'Instruction Fetch Unit/Branch Predictor/Chooser/Area': 0.0435221, 'Instruction Fetch Unit/Branch Predictor/Chooser/Gate Leakage': 0.000278362, 'Instruction Fetch Unit/Branch Predictor/Chooser/Peak Dynamic': 0.0168831, 'Instruction Fetch Unit/Branch Predictor/Chooser/Runtime Dynamic': 0.00323952, 'Instruction Fetch Unit/Branch Predictor/Chooser/Subthreshold Leakage': 0.00759719, 'Instruction Fetch Unit/Branch Predictor/Chooser/Subthreshold Leakage with power gating': 0.0039236, 'Instruction Fetch Unit/Branch Predictor/Gate Leakage': 0.000757657, 'Instruction Fetch Unit/Branch Predictor/Global Predictor/Area': 0.0435221, 'Instruction Fetch Unit/Branch Predictor/Global Predictor/Gate Leakage': 0.000278362, 'Instruction Fetch Unit/Branch Predictor/Global Predictor/Peak Dynamic': 0.0168831, 'Instruction Fetch Unit/Branch Predictor/Global Predictor/Runtime Dynamic': 0.00323952, 'Instruction Fetch Unit/Branch Predictor/Global Predictor/Subthreshold Leakage': 0.00759719, 'Instruction Fetch Unit/Branch Predictor/Global Predictor/Subthreshold Leakage with power gating': 0.0039236, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Area': 0.0257064, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Gate Leakage': 0.000154548, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Peak Dynamic': 0.0142575, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Runtime Dynamic': 0.00281254, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Subthreshold Leakage': 0.00384344, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Subthreshold Leakage with power gating': 0.00198631, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Area': 0.0151917, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Gate Leakage': 8.00196e-05, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Peak Dynamic': 0.00527447, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Runtime Dynamic': 0.00108381, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Subthreshold Leakage': 0.00181347, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Subthreshold Leakage with power gating': 0.000957045, 'Instruction Fetch Unit/Branch Predictor/Peak Dynamic': 0.0597838, 'Instruction Fetch Unit/Branch Predictor/RAS/Area': 0.0105732, 'Instruction Fetch Unit/Branch Predictor/RAS/Gate Leakage': 4.63858e-05, 'Instruction Fetch Unit/Branch Predictor/RAS/Peak Dynamic': 0.0117602, 'Instruction Fetch Unit/Branch Predictor/RAS/Runtime Dynamic': 0.00261155, 'Instruction Fetch Unit/Branch Predictor/RAS/Subthreshold Leakage': 0.000932505, 'Instruction Fetch Unit/Branch Predictor/RAS/Subthreshold Leakage with power gating': 0.000494733, 'Instruction Fetch Unit/Branch Predictor/Runtime Dynamic': 0.0119031, 'Instruction Fetch Unit/Branch Predictor/Subthreshold Leakage': 0.0199703, 'Instruction Fetch Unit/Branch Predictor/Subthreshold Leakage with power gating': 0.0103282, 'Instruction Fetch Unit/Branch Target Buffer/Area': 0.64954, 'Instruction Fetch Unit/Branch Target Buffer/Gate Leakage': 0.00272758, 'Instruction Fetch Unit/Branch Target Buffer/Peak Dynamic': 0.177867, 'Instruction Fetch Unit/Branch Target Buffer/Runtime Dynamic': 0.0313847, 'Instruction Fetch Unit/Branch Target Buffer/Subthreshold Leakage': 0.0811682, 'Instruction Fetch Unit/Branch Target Buffer/Subthreshold Leakage with power gating': 0.0435357, 'Instruction Fetch Unit/Gate Leakage': 0.0590479, 'Instruction Fetch Unit/Instruction Buffer/Area': 0.0226323, 'Instruction Fetch Unit/Instruction Buffer/Gate Leakage': 6.83558e-05, 'Instruction Fetch Unit/Instruction Buffer/Peak Dynamic': 0.606827, 'Instruction Fetch Unit/Instruction Buffer/Runtime Dynamic': 0.174767, 'Instruction Fetch Unit/Instruction Buffer/Subthreshold Leakage': 0.00151885, 'Instruction Fetch Unit/Instruction Buffer/Subthreshold Leakage with power gating': 0.000701682, 'Instruction Fetch Unit/Instruction Cache/Area': 3.14635, 'Instruction Fetch Unit/Instruction Cache/Gate Leakage': 0.029931, 'Instruction Fetch Unit/Instruction Cache/Peak Dynamic': 6.43323, 'Instruction Fetch Unit/Instruction Cache/Runtime Dynamic': 0.498264, 'Instruction Fetch Unit/Instruction Cache/Subthreshold Leakage': 0.367022, 'Instruction Fetch Unit/Instruction Cache/Subthreshold Leakage with power gating': 0.180386, 'Instruction Fetch Unit/Instruction Decoder/Area': 1.85799, 'Instruction Fetch Unit/Instruction Decoder/Gate Leakage': 0.0222493, 'Instruction Fetch Unit/Instruction Decoder/Peak Dynamic': 1.37404, 'Instruction Fetch Unit/Instruction Decoder/Runtime Dynamic': 0.593588, 'Instruction Fetch Unit/Instruction Decoder/Subthreshold Leakage': 0.442943, 'Instruction Fetch Unit/Instruction Decoder/Subthreshold Leakage with power gating': 0.166104, 'Instruction Fetch Unit/Peak Dynamic': 8.96874, 'Instruction Fetch Unit/Runtime Dynamic': 1.30991, 'Instruction Fetch Unit/Subthreshold Leakage': 0.932587, 'Instruction Fetch Unit/Subthreshold Leakage with power gating': 0.408542, 'L2/Area': 4.53318, 'L2/Gate Leakage': 0.015464, 'L2/Peak Dynamic': 0.0417119, 'L2/Runtime Dynamic': 0.00895503, 'L2/Subthreshold Leakage': 0.834142, 'L2/Subthreshold Leakage with power gating': 0.401066, 'Load Store Unit/Area': 8.80969, 'Load Store Unit/Data Cache/Area': 6.84535, 'Load Store Unit/Data Cache/Gate Leakage': 0.0279261, 'Load Store Unit/Data Cache/Peak Dynamic': 7.65323, 'Load Store Unit/Data Cache/Runtime Dynamic': 3.09794, 'Load Store Unit/Data Cache/Subthreshold Leakage': 0.527675, 'Load Store Unit/Data Cache/Subthreshold Leakage with power gating': 0.25085, 'Load Store Unit/Gate Leakage': 0.0351387, 'Load Store Unit/LoadQ/Area': 0.0836782, 'Load Store Unit/LoadQ/Gate Leakage': 0.00059896, 'Load Store Unit/LoadQ/Peak Dynamic': 0.207576, 'Load Store Unit/LoadQ/Runtime Dynamic': 0.207577, 'Load Store Unit/LoadQ/Subthreshold Leakage': 0.00941961, 'Load Store Unit/LoadQ/Subthreshold Leakage with power gating': 0.00536918, 'Load Store Unit/Peak Dynamic': 8.63744, 'Load Store Unit/Runtime Dynamic': 4.32921, 'Load Store Unit/StoreQ/Area': 0.322079, 'Load Store Unit/StoreQ/Gate Leakage': 0.00329971, 'Load Store Unit/StoreQ/Peak Dynamic': 0.511848, 'Load Store Unit/StoreQ/Runtime Dynamic': 1.0237, 'Load Store Unit/StoreQ/Subthreshold Leakage': 0.0345621, 'Load Store Unit/StoreQ/Subthreshold Leakage with power gating': 0.0197004, 'Load Store Unit/Subthreshold Leakage': 0.591622, 'Load Store Unit/Subthreshold Leakage with power gating': 0.283406, 'Memory Management Unit/Area': 0.434579, 'Memory Management Unit/Dtlb/Area': 0.0879726, 'Memory Management Unit/Dtlb/Gate Leakage': 0.00088729, 'Memory Management Unit/Dtlb/Peak Dynamic': 0.181657, 'Memory Management Unit/Dtlb/Runtime Dynamic': 0.182043, 'Memory Management Unit/Dtlb/Subthreshold Leakage': 0.0155699, 'Memory Management Unit/Dtlb/Subthreshold Leakage with power gating': 0.00887485, 'Memory Management Unit/Gate Leakage': 0.00813591, 'Memory Management Unit/Itlb/Area': 0.301552, 'Memory Management Unit/Itlb/Gate Leakage': 0.00393464, 'Memory Management Unit/Itlb/Peak Dynamic': 0.399995, 'Memory Management Unit/Itlb/Runtime Dynamic': 0.0823927, 'Memory Management Unit/Itlb/Subthreshold Leakage': 0.0413758, 'Memory Management Unit/Itlb/Subthreshold Leakage with power gating': 0.0235842, 'Memory Management Unit/Peak Dynamic': 0.872543, 'Memory Management Unit/Runtime Dynamic': 0.264436, 'Memory Management Unit/Subthreshold Leakage': 0.0769113, 'Memory Management Unit/Subthreshold Leakage with power gating': 0.0399462, 'Peak Dynamic': 30.588, 'Renaming Unit/Area': 0.369768, 'Renaming Unit/FP Front End RAT/Area': 0.168486, 'Renaming Unit/FP Front End RAT/Gate Leakage': 0.00489731, 'Renaming Unit/FP Front End RAT/Peak Dynamic': 3.33511, 'Renaming Unit/FP Front End RAT/Runtime Dynamic': 0.531889, 'Renaming Unit/FP Front End RAT/Subthreshold Leakage': 0.0437281, 'Renaming Unit/FP Front End RAT/Subthreshold Leakage with power gating': 0.024925, 'Renaming Unit/Free List/Area': 0.0414755, 'Renaming Unit/Free List/Gate Leakage': 4.15911e-05, 'Renaming Unit/Free List/Peak Dynamic': 0.0401324, 'Renaming Unit/Free List/Runtime Dynamic': 0.041075, 'Renaming Unit/Free List/Subthreshold Leakage': 0.000670426, 'Renaming Unit/Free List/Subthreshold Leakage with power gating': 0.000377987, 'Renaming Unit/Gate Leakage': 0.00863632, 'Renaming Unit/Int Front End RAT/Area': 0.114751, 'Renaming Unit/Int Front End RAT/Gate Leakage': 0.00038343, 'Renaming Unit/Int Front End RAT/Peak Dynamic': 0.86945, 'Renaming Unit/Int Front End RAT/Runtime Dynamic': 0.345677, 'Renaming Unit/Int Front End RAT/Subthreshold Leakage': 0.00611897, 'Renaming Unit/Int Front End RAT/Subthreshold Leakage with power gating': 0.00348781, 'Renaming Unit/Peak Dynamic': 4.56169, 'Renaming Unit/Runtime Dynamic': 0.918641, 'Renaming Unit/Subthreshold Leakage': 0.070483, 'Renaming Unit/Subthreshold Leakage with power gating': 0.0362779, 'Runtime Dynamic': 11.9779, 'Subthreshold Leakage': 6.21877, 'Subthreshold Leakage with power gating': 2.58311}, {'Area': 32.0201, 'Execution Unit/Area': 7.68434, 'Execution Unit/Complex ALUs/Area': 0.235435, 'Execution Unit/Complex ALUs/Gate Leakage': 0.0132646, 'Execution Unit/Complex ALUs/Peak Dynamic': 0.09189, 'Execution Unit/Complex ALUs/Runtime Dynamic': 0.274863, 'Execution Unit/Complex ALUs/Subthreshold Leakage': 0.20111, 'Execution Unit/Complex ALUs/Subthreshold Leakage with power gating': 0.0754163, 'Execution Unit/Floating Point Units/Area': 4.6585, 'Execution Unit/Floating Point Units/Gate Leakage': 0.0656156, 'Execution Unit/Floating Point Units/Peak Dynamic': 0.419705, 'Execution Unit/Floating Point Units/Runtime Dynamic': 0.304033, 'Execution Unit/Floating Point Units/Subthreshold Leakage': 0.994829, 'Execution Unit/Floating Point Units/Subthreshold Leakage with power gating': 0.373061, 'Execution Unit/Gate Leakage': 0.120359, 'Execution Unit/Instruction Scheduler/Area': 1.66526, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Area': 0.275653, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Gate Leakage': 0.000977433, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Peak Dynamic': 1.04181, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Runtime Dynamic': 0.253039, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Subthreshold Leakage': 0.0143453, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Subthreshold Leakage with power gating': 0.00810519, 'Execution Unit/Instruction Scheduler/Gate Leakage': 0.00568913, 'Execution Unit/Instruction Scheduler/Instruction Window/Area': 0.805223, 'Execution Unit/Instruction Scheduler/Instruction Window/Gate Leakage': 0.00414562, 'Execution Unit/Instruction Scheduler/Instruction Window/Peak Dynamic': 1.6763, 'Execution Unit/Instruction Scheduler/Instruction Window/Runtime Dynamic': 0.408142, 'Execution Unit/Instruction Scheduler/Instruction Window/Subthreshold Leakage': 0.0625755, 'Execution Unit/Instruction Scheduler/Instruction Window/Subthreshold Leakage with power gating': 0.0355964, 'Execution Unit/Instruction Scheduler/Peak Dynamic': 3.82262, 'Execution Unit/Instruction Scheduler/ROB/Area': 0.584388, 'Execution Unit/Instruction Scheduler/ROB/Gate Leakage': 0.00056608, 'Execution Unit/Instruction Scheduler/ROB/Peak Dynamic': 1.10451, 'Execution Unit/Instruction Scheduler/ROB/Runtime Dynamic': 0.206016, 'Execution Unit/Instruction Scheduler/ROB/Subthreshold Leakage': 0.00906853, 'Execution Unit/Instruction Scheduler/ROB/Subthreshold Leakage with power gating': 0.00364446, 'Execution Unit/Instruction Scheduler/Runtime Dynamic': 0.867197, 'Execution Unit/Instruction Scheduler/Subthreshold Leakage': 0.0859892, 'Execution Unit/Instruction Scheduler/Subthreshold Leakage with power gating': 0.047346, 'Execution Unit/Integer ALUs/Area': 0.47087, 'Execution Unit/Integer ALUs/Gate Leakage': 0.0265291, 'Execution Unit/Integer ALUs/Peak Dynamic': 0.225057, 'Execution Unit/Integer ALUs/Runtime Dynamic': 0.101344, 'Execution Unit/Integer ALUs/Subthreshold Leakage': 0.40222, 'Execution Unit/Integer ALUs/Subthreshold Leakage with power gating': 0.150833, 'Execution Unit/Peak Dynamic': 5.04672, 'Execution Unit/Register Files/Area': 0.570804, 'Execution Unit/Register Files/Floating Point RF/Area': 0.208131, 'Execution Unit/Register Files/Floating Point RF/Gate Leakage': 0.000232788, 'Execution Unit/Register Files/Floating Point RF/Peak Dynamic': 0.0792913, 'Execution Unit/Register Files/Floating Point RF/Runtime Dynamic': 0.0106136, 'Execution Unit/Register Files/Floating Point RF/Subthreshold Leakage': 0.00399698, 'Execution Unit/Register Files/Floating Point RF/Subthreshold Leakage with power gating': 0.00176968, 'Execution Unit/Register Files/Gate Leakage': 0.000622708, 'Execution Unit/Register Files/Integer RF/Area': 0.362673, 'Execution Unit/Register Files/Integer RF/Gate Leakage': 0.00038992, 'Execution Unit/Register Files/Integer RF/Peak Dynamic': 0.114263, 'Execution Unit/Register Files/Integer RF/Runtime Dynamic': 0.0784939, 'Execution Unit/Register Files/Integer RF/Subthreshold Leakage': 0.00614175, 'Execution Unit/Register Files/Integer RF/Subthreshold Leakage with power gating': 0.00246675, 'Execution Unit/Register Files/Peak Dynamic': 0.193555, 'Execution Unit/Register Files/Runtime Dynamic': 0.0891075, 'Execution Unit/Register Files/Subthreshold Leakage': 0.0101387, 'Execution Unit/Register Files/Subthreshold Leakage with power gating': 0.00423643, 'Execution Unit/Results Broadcast Bus/Area Overhead': 0.0390912, 'Execution Unit/Results Broadcast Bus/Gate Leakage': 0.00537402, 'Execution Unit/Results Broadcast Bus/Peak Dynamic': 0.263699, 'Execution Unit/Results Broadcast Bus/Runtime Dynamic': 0.653585, 'Execution Unit/Results Broadcast Bus/Subthreshold Leakage': 0.081478, 'Execution Unit/Results Broadcast Bus/Subthreshold Leakage with power gating': 0.0305543, 'Execution Unit/Runtime Dynamic': 2.29013, 'Execution Unit/Subthreshold Leakage': 1.79543, 'Execution Unit/Subthreshold Leakage with power gating': 0.688821, 'Gate Leakage': 0.368936, 'Instruction Fetch Unit/Area': 5.85939, 'Instruction Fetch Unit/Branch Predictor/Area': 0.138516, 'Instruction Fetch Unit/Branch Predictor/Chooser/Area': 0.0435221, 'Instruction Fetch Unit/Branch Predictor/Chooser/Gate Leakage': 0.000278362, 'Instruction Fetch Unit/Branch Predictor/Chooser/Peak Dynamic': 0.0168831, 'Instruction Fetch Unit/Branch Predictor/Chooser/Runtime Dynamic': 0.0013419, 'Instruction Fetch Unit/Branch Predictor/Chooser/Subthreshold Leakage': 0.00759719, 'Instruction Fetch Unit/Branch Predictor/Chooser/Subthreshold Leakage with power gating': 0.0039236, 'Instruction Fetch Unit/Branch Predictor/Gate Leakage': 0.000757657, 'Instruction Fetch Unit/Branch Predictor/Global Predictor/Area': 0.0435221, 'Instruction Fetch Unit/Branch Predictor/Global Predictor/Gate Leakage': 0.000278362, 'Instruction Fetch Unit/Branch Predictor/Global Predictor/Peak Dynamic': 0.0168831, 'Instruction Fetch Unit/Branch Predictor/Global Predictor/Runtime Dynamic': 0.0013419, 'Instruction Fetch Unit/Branch Predictor/Global Predictor/Subthreshold Leakage': 0.00759719, 'Instruction Fetch Unit/Branch Predictor/Global Predictor/Subthreshold Leakage with power gating': 0.0039236, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Area': 0.0257064, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Gate Leakage': 0.000154548, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Peak Dynamic': 0.0142575, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Runtime Dynamic': 0.0012059, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Subthreshold Leakage': 0.00384344, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Subthreshold Leakage with power gating': 0.00198631, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Area': 0.0151917, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Gate Leakage': 8.00196e-05, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Peak Dynamic': 0.00527447, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Runtime Dynamic': 0.00048712, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Subthreshold Leakage': 0.00181347, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Subthreshold Leakage with power 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'Instruction Fetch Unit/Branch Target Buffer/Runtime Dynamic': 0.0115401, 'Instruction Fetch Unit/Branch Target Buffer/Subthreshold Leakage': 0.0811682, 'Instruction Fetch Unit/Branch Target Buffer/Subthreshold Leakage with power gating': 0.0435357, 'Instruction Fetch Unit/Gate Leakage': 0.0589979, 'Instruction Fetch Unit/Instruction Buffer/Area': 0.0226323, 'Instruction Fetch Unit/Instruction Buffer/Gate Leakage': 6.83558e-05, 'Instruction Fetch Unit/Instruction Buffer/Peak Dynamic': 0.606827, 'Instruction Fetch Unit/Instruction Buffer/Runtime Dynamic': 0.0754582, 'Instruction Fetch Unit/Instruction Buffer/Subthreshold Leakage': 0.00151885, 'Instruction Fetch Unit/Instruction Buffer/Subthreshold Leakage with power gating': 0.000701682, 'Instruction Fetch Unit/Instruction Cache/Area': 3.14635, 'Instruction Fetch Unit/Instruction Cache/Gate Leakage': 0.029931, 'Instruction Fetch Unit/Instruction Cache/Peak Dynamic': 4.79979, 'Instruction Fetch Unit/Instruction Cache/Runtime Dynamic': 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'L2/Subthreshold Leakage with power gating': 0.401066, 'Load Store Unit/Area': 8.80901, 'Load Store Unit/Data Cache/Area': 6.84535, 'Load Store Unit/Data Cache/Gate Leakage': 0.0279261, 'Load Store Unit/Data Cache/Peak Dynamic': 3.99851, 'Load Store Unit/Data Cache/Runtime Dynamic': 1.33528, 'Load Store Unit/Data Cache/Subthreshold Leakage': 0.527675, 'Load Store Unit/Data Cache/Subthreshold Leakage with power gating': 0.25085, 'Load Store Unit/Gate Leakage': 0.0350888, 'Load Store Unit/LoadQ/Area': 0.0836782, 'Load Store Unit/LoadQ/Gate Leakage': 0.00059896, 'Load Store Unit/LoadQ/Peak Dynamic': 0.0893374, 'Load Store Unit/LoadQ/Runtime Dynamic': 0.0893374, 'Load Store Unit/LoadQ/Subthreshold Leakage': 0.00941961, 'Load Store Unit/LoadQ/Subthreshold Leakage with power gating': 0.00536918, 'Load Store Unit/Peak Dynamic': 4.42038, 'Load Store Unit/Runtime Dynamic': 1.86519, 'Load Store Unit/StoreQ/Area': 0.322079, 'Load Store Unit/StoreQ/Gate Leakage': 0.00329971, 'Load Store 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'Execution Unit/Complex ALUs/Gate Leakage': 0.0132646, 'Execution Unit/Complex ALUs/Peak Dynamic': 0.0796071, 'Execution Unit/Complex ALUs/Runtime Dynamic': 0.265215, 'Execution Unit/Complex ALUs/Subthreshold Leakage': 0.20111, 'Execution Unit/Complex ALUs/Subthreshold Leakage with power gating': 0.0754163, 'Execution Unit/Floating Point Units/Area': 4.6585, 'Execution Unit/Floating Point Units/Gate Leakage': 0.0656156, 'Execution Unit/Floating Point Units/Peak Dynamic': 0.368265, 'Execution Unit/Floating Point Units/Runtime Dynamic': 0.304033, 'Execution Unit/Floating Point Units/Subthreshold Leakage': 0.994829, 'Execution Unit/Floating Point Units/Subthreshold Leakage with power gating': 0.373061, 'Execution Unit/Gate Leakage': 0.120359, 'Execution Unit/Instruction Scheduler/Area': 1.66526, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Area': 0.275653, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Gate Leakage': 0.000977433, 'Execution Unit/Instruction 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'Execution Unit/Instruction Scheduler/ROB/Area': 0.584388, 'Execution Unit/Instruction Scheduler/ROB/Gate Leakage': 0.00056608, 'Execution Unit/Instruction Scheduler/ROB/Peak Dynamic': 1.10451, 'Execution Unit/Instruction Scheduler/ROB/Runtime Dynamic': 0.197459, 'Execution Unit/Instruction Scheduler/ROB/Subthreshold Leakage': 0.00906853, 'Execution Unit/Instruction Scheduler/ROB/Subthreshold Leakage with power gating': 0.00364446, 'Execution Unit/Instruction Scheduler/Runtime Dynamic': 0.831177, 'Execution Unit/Instruction Scheduler/Subthreshold Leakage': 0.0859892, 'Execution Unit/Instruction Scheduler/Subthreshold Leakage with power gating': 0.047346, 'Execution Unit/Integer ALUs/Area': 0.47087, 'Execution Unit/Integer ALUs/Gate Leakage': 0.0265291, 'Execution Unit/Integer ALUs/Peak Dynamic': 0.220921, 'Execution Unit/Integer ALUs/Runtime Dynamic': 0.101344, 'Execution Unit/Integer ALUs/Subthreshold Leakage': 0.40222, 'Execution Unit/Integer ALUs/Subthreshold Leakage with power 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'Execution Unit/Register Files/Integer RF/Subthreshold Leakage with power gating': 0.00246675, 'Execution Unit/Register Files/Peak Dynamic': 0.175444, 'Execution Unit/Register Files/Runtime Dynamic': 0.0854064, 'Execution Unit/Register Files/Subthreshold Leakage': 0.0101387, 'Execution Unit/Register Files/Subthreshold Leakage with power gating': 0.00423643, 'Execution Unit/Results Broadcast Bus/Area Overhead': 0.0390912, 'Execution Unit/Results Broadcast Bus/Gate Leakage': 0.00537402, 'Execution Unit/Results Broadcast Bus/Peak Dynamic': 0.242947, 'Execution Unit/Results Broadcast Bus/Runtime Dynamic': 0.6168, 'Execution Unit/Results Broadcast Bus/Subthreshold Leakage': 0.081478, 'Execution Unit/Results Broadcast Bus/Subthreshold Leakage with power gating': 0.0305543, 'Execution Unit/Runtime Dynamic': 2.20398, 'Execution Unit/Subthreshold Leakage': 1.79543, 'Execution Unit/Subthreshold Leakage with power gating': 0.688821, 'Gate Leakage': 0.368936, 'Instruction Fetch Unit/Area': 5.85939, 'Instruction Fetch Unit/Branch Predictor/Area': 0.138516, 'Instruction Fetch Unit/Branch Predictor/Chooser/Area': 0.0435221, 'Instruction Fetch Unit/Branch Predictor/Chooser/Gate Leakage': 0.000278362, 'Instruction Fetch Unit/Branch Predictor/Chooser/Peak Dynamic': 0.0168831, 'Instruction Fetch Unit/Branch Predictor/Chooser/Runtime Dynamic': 0.00137678, 'Instruction Fetch Unit/Branch Predictor/Chooser/Subthreshold Leakage': 0.00759719, 'Instruction Fetch Unit/Branch Predictor/Chooser/Subthreshold Leakage with power gating': 0.0039236, 'Instruction Fetch Unit/Branch Predictor/Gate Leakage': 0.000757657, 'Instruction Fetch Unit/Branch Predictor/Global Predictor/Area': 0.0435221, 'Instruction Fetch Unit/Branch Predictor/Global Predictor/Gate Leakage': 0.000278362, 'Instruction Fetch Unit/Branch Predictor/Global Predictor/Peak Dynamic': 0.0168831, 'Instruction Fetch Unit/Branch Predictor/Global Predictor/Runtime Dynamic': 0.00137678, 'Instruction Fetch Unit/Branch Predictor/Global Predictor/Subthreshold Leakage': 0.00759719, 'Instruction Fetch Unit/Branch Predictor/Global Predictor/Subthreshold Leakage with power gating': 0.0039236, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Area': 0.0257064, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Gate Leakage': 0.000154548, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Peak Dynamic': 0.0142575, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Runtime Dynamic': 0.0012417, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Subthreshold Leakage': 0.00384344, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Subthreshold Leakage with power gating': 0.00198631, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Area': 0.0151917, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Gate Leakage': 8.00196e-05, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Peak Dynamic': 0.00527447, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Runtime Dynamic': 0.000503941, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Subthreshold Leakage': 0.00181347, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Subthreshold Leakage with power gating': 0.000957045, 'Instruction Fetch Unit/Branch Predictor/Peak Dynamic': 0.0597838, 'Instruction Fetch Unit/Branch Predictor/RAS/Area': 0.0105732, 'Instruction Fetch Unit/Branch Predictor/RAS/Gate Leakage': 4.63858e-05, 'Instruction Fetch Unit/Branch Predictor/RAS/Peak Dynamic': 0.0117602, 'Instruction Fetch Unit/Branch Predictor/RAS/Runtime Dynamic': 0.00108074, 'Instruction Fetch Unit/Branch Predictor/RAS/Subthreshold Leakage': 0.000932505, 'Instruction Fetch Unit/Branch Predictor/RAS/Subthreshold Leakage with power gating': 0.000494733, 'Instruction Fetch Unit/Branch Predictor/Runtime Dynamic': 0.005076, 'Instruction Fetch Unit/Branch Predictor/Subthreshold Leakage': 0.0199703, 'Instruction Fetch Unit/Branch Predictor/Subthreshold 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'Memory Management Unit/Gate Leakage': 0.00808595, 'Memory Management Unit/Itlb/Area': 0.301552, 'Memory Management Unit/Itlb/Gate Leakage': 0.00393464, 'Memory Management Unit/Itlb/Peak Dynamic': 0.286038, 'Memory Management Unit/Itlb/Runtime Dynamic': 0.033295, 'Memory Management Unit/Itlb/Subthreshold Leakage': 0.0413758, 'Memory Management Unit/Itlb/Subthreshold Leakage with power gating': 0.0235842, 'Memory Management Unit/Peak Dynamic': 0.572724, 'Memory Management Unit/Runtime Dynamic': 0.1095, 'Memory Management Unit/Subthreshold Leakage': 0.0766103, 'Memory Management Unit/Subthreshold Leakage with power gating': 0.0398333, 'Peak Dynamic': 20.4958, 'Renaming Unit/Area': 0.303608, 'Renaming Unit/FP Front End RAT/Area': 0.131045, 'Renaming Unit/FP Front End RAT/Gate Leakage': 0.00351123, 'Renaming Unit/FP Front End RAT/Peak Dynamic': 2.51468, 'Renaming Unit/FP Front End RAT/Runtime Dynamic': 0.183015, 'Renaming Unit/FP Front End RAT/Subthreshold Leakage': 0.0308571, 'Renaming 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'Execution Unit/Instruction Scheduler/Area': 1.66526, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Area': 0.275653, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Gate Leakage': 0.000977433, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Peak Dynamic': 1.04181, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Runtime Dynamic': 0.23485, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Subthreshold Leakage': 0.0143453, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Subthreshold Leakage with power gating': 0.00810519, 'Execution Unit/Instruction Scheduler/Gate Leakage': 0.00568913, 'Execution Unit/Instruction Scheduler/Instruction Window/Area': 0.805223, 'Execution Unit/Instruction Scheduler/Instruction Window/Gate Leakage': 0.00414562, 'Execution Unit/Instruction Scheduler/Instruction Window/Peak Dynamic': 1.6763, 'Execution Unit/Instruction Scheduler/Instruction Window/Runtime Dynamic': 0.378805, 'Execution Unit/Instruction Scheduler/Instruction Window/Subthreshold Leakage': 0.0625755, 'Execution Unit/Instruction Scheduler/Instruction Window/Subthreshold Leakage with power gating': 0.0355964, 'Execution Unit/Instruction Scheduler/Peak Dynamic': 3.82262, 'Execution Unit/Instruction Scheduler/ROB/Area': 0.584388, 'Execution Unit/Instruction Scheduler/ROB/Gate Leakage': 0.00056608, 'Execution Unit/Instruction Scheduler/ROB/Peak Dynamic': 1.10451, 'Execution Unit/Instruction Scheduler/ROB/Runtime Dynamic': 0.191208, 'Execution Unit/Instruction Scheduler/ROB/Subthreshold Leakage': 0.00906853, 'Execution Unit/Instruction Scheduler/ROB/Subthreshold Leakage with power gating': 0.00364446, 'Execution Unit/Instruction Scheduler/Runtime Dynamic': 0.804862, 'Execution Unit/Instruction Scheduler/Subthreshold Leakage': 0.0859892, 'Execution Unit/Instruction Scheduler/Subthreshold Leakage with power gating': 0.047346, 'Execution Unit/Integer ALUs/Area': 0.47087, 'Execution Unit/Integer ALUs/Gate 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Leakage': 0.000278362, 'Instruction Fetch Unit/Branch Predictor/Global Predictor/Peak Dynamic': 0.0168831, 'Instruction Fetch Unit/Branch Predictor/Global Predictor/Runtime Dynamic': 0.00147251, 'Instruction Fetch Unit/Branch Predictor/Global Predictor/Subthreshold Leakage': 0.00759719, 'Instruction Fetch Unit/Branch Predictor/Global Predictor/Subthreshold Leakage with power gating': 0.0039236, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Area': 0.0257064, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Gate Leakage': 0.000154548, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Peak Dynamic': 0.0142575, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Runtime Dynamic': 0.00132897, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Subthreshold Leakage': 0.00384344, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Subthreshold Leakage with power gating': 0.00198631, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Area': 0.0151917, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Gate Leakage': 8.00196e-05, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Peak Dynamic': 0.00527447, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Runtime Dynamic': 0.000539855, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Subthreshold Leakage': 0.00181347, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Subthreshold Leakage with power gating': 0.000957045, 'Instruction Fetch Unit/Branch Predictor/Peak Dynamic': 0.0597838, 'Instruction Fetch Unit/Branch Predictor/RAS/Area': 0.0105732, 'Instruction Fetch Unit/Branch Predictor/RAS/Gate Leakage': 4.63858e-05, 'Instruction Fetch Unit/Branch Predictor/RAS/Peak Dynamic': 0.0117602, 'Instruction Fetch Unit/Branch Predictor/RAS/Runtime Dynamic': 0.00104652, 'Instruction Fetch Unit/Branch Predictor/RAS/Subthreshold Leakage': 0.000932505, 'Instruction Fetch Unit/Branch Predictor/RAS/Subthreshold Leakage 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'Load Store Unit/LoadQ/Gate Leakage': 0.00059896, 'Load Store Unit/LoadQ/Peak Dynamic': 0.0822764, 'Load Store Unit/LoadQ/Runtime Dynamic': 0.0822764, 'Load Store Unit/LoadQ/Subthreshold Leakage': 0.00941961, 'Load Store Unit/LoadQ/Subthreshold Leakage with power gating': 0.00536918, 'Load Store Unit/Peak Dynamic': 4.16878, 'Load Store Unit/Runtime Dynamic': 1.71569, 'Load Store Unit/StoreQ/Area': 0.322079, 'Load Store Unit/StoreQ/Gate Leakage': 0.00329971, 'Load Store Unit/StoreQ/Peak Dynamic': 0.202879, 'Load Store Unit/StoreQ/Runtime Dynamic': 0.405759, 'Load Store Unit/StoreQ/Subthreshold Leakage': 0.0345621, 'Load Store Unit/StoreQ/Subthreshold Leakage with power gating': 0.0197004, 'Load Store Unit/Subthreshold Leakage': 0.591321, 'Load Store Unit/Subthreshold Leakage with power gating': 0.283293, 'Memory Management Unit/Area': 0.4339, 'Memory Management Unit/Dtlb/Area': 0.0879726, 'Memory Management Unit/Dtlb/Gate Leakage': 0.00088729, 'Memory Management Unit/Dtlb/Peak Dynamic': 0.0720026, 'Memory Management Unit/Dtlb/Runtime Dynamic': 0.072176, 'Memory Management Unit/Dtlb/Subthreshold Leakage': 0.0155699, 'Memory Management Unit/Dtlb/Subthreshold Leakage with power gating': 0.00887485, 'Memory Management Unit/Gate Leakage': 0.00808595, 'Memory Management Unit/Itlb/Area': 0.301552, 'Memory Management Unit/Itlb/Gate Leakage': 0.00393464, 'Memory Management Unit/Itlb/Peak Dynamic': 0.276982, 'Memory Management Unit/Itlb/Runtime Dynamic': 0.0322494, 'Memory Management Unit/Itlb/Subthreshold Leakage': 0.0413758, 'Memory Management Unit/Itlb/Subthreshold Leakage with power gating': 0.0235842, 'Memory Management Unit/Peak Dynamic': 0.556779, 'Memory Management Unit/Runtime Dynamic': 0.104425, 'Memory Management Unit/Subthreshold Leakage': 0.0766103, 'Memory Management Unit/Subthreshold Leakage with power gating': 0.0398333, 'Peak Dynamic': 20.0738, 'Renaming Unit/Area': 0.303608, 'Renaming Unit/FP Front End RAT/Area': 0.131045, 'Renaming Unit/FP Front End RAT/Gate Leakage': 0.00351123, 'Renaming Unit/FP Front End RAT/Peak Dynamic': 2.51468, 'Renaming Unit/FP Front End RAT/Runtime Dynamic': 0.160298, 'Renaming Unit/FP Front End RAT/Subthreshold Leakage': 0.0308571, 'Renaming Unit/FP Front End RAT/Subthreshold Leakage with power gating': 0.0175885, 'Renaming Unit/Free List/Area': 0.0340654, 'Renaming Unit/Free List/Gate Leakage': 2.5481e-05, 'Renaming Unit/Free List/Peak Dynamic': 0.0306032, 'Renaming Unit/Free List/Runtime Dynamic': 0.0125466, 'Renaming Unit/Free List/Subthreshold Leakage': 0.000370144, 'Renaming Unit/Free List/Subthreshold Leakage with power gating': 0.000201064, 'Renaming Unit/Gate Leakage': 0.00708398, 'Renaming Unit/Int Front End RAT/Area': 0.0941223, 'Renaming Unit/Int Front End RAT/Gate Leakage': 0.000283242, 'Renaming Unit/Int Front End RAT/Peak Dynamic': 0.731965, 'Renaming Unit/Int Front End RAT/Runtime Dynamic': 0.117527, 'Renaming Unit/Int Front End RAT/Subthreshold Leakage': 0.00435488, 'Renaming Unit/Int Front End RAT/Subthreshold Leakage with power gating': 0.00248228, 'Renaming Unit/Peak Dynamic': 3.58947, 'Renaming Unit/Runtime Dynamic': 0.290371, 'Renaming Unit/Subthreshold Leakage': 0.0552466, 'Renaming Unit/Subthreshold Leakage with power gating': 0.0276461, 'Runtime Dynamic': 4.76408, 'Subthreshold Leakage': 6.16288, 'Subthreshold Leakage with power gating': 2.55328}], 'DRAM': {'Area': 0, 'Gate Leakage': 0, 'Peak Dynamic': 0.03692902720675173, 'Runtime Dynamic': 0.03692902720675173, 'Subthreshold Leakage': 4.252, 'Subthreshold Leakage with power gating': 4.252}, 'L3': [{'Area': 61.9075, 'Gate Leakage': 0.0484137, 'Peak Dynamic': 0.0450672, 'Runtime Dynamic': 0.0273526, 'Subthreshold Leakage': 6.80085, 'Subthreshold Leakage with power gating': 3.32364}], 'Processor': {'Area': 191.908, 'Gate Leakage': 1.53485, 'Peak Dynamic': 92.1192, 'Peak Power': 125.231, 'Runtime Dynamic': 26.9362, 'Subthreshold Leakage': 31.5774, 'Subthreshold Leakage with power gating': 13.9484, 'Total Cores/Area': 128.669, 'Total Cores/Gate Leakage': 1.4798, 'Total Cores/Peak Dynamic': 92.0742, 'Total Cores/Runtime Dynamic': 26.9088, 'Total Cores/Subthreshold Leakage': 24.7074, 'Total Cores/Subthreshold Leakage with power gating': 10.2429, 'Total L3s/Area': 61.9075, 'Total L3s/Gate Leakage': 0.0484137, 'Total L3s/Peak Dynamic': 0.0450672, 'Total L3s/Runtime Dynamic': 0.0273526, 'Total L3s/Subthreshold Leakage': 6.80085, 'Total L3s/Subthreshold Leakage with power gating': 3.32364, 'Total Leakage': 33.1122, 'Total NoCs/Area': 1.33155, 'Total NoCs/Gate Leakage': 0.00662954, 'Total NoCs/Peak Dynamic': 0.0, 'Total NoCs/Runtime Dynamic': 0.0, 'Total NoCs/Subthreshold Leakage': 0.0691322, 'Total NoCs/Subthreshold Leakage with power gating': 0.0259246}}
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(239, 123), (239, 129), (240, 125), (240, 127), ) coordinates_7F0013 = ((184, 139), (184, 142), (185, 137), (185, 143), (186, 134), (186, 136), (186, 139), (186, 140), (186, 141), (186, 143), (187, 134), (187, 137), (187, 138), (187, 139), (187, 140), (187, 141), (187, 143), (188, 134), (188, 136), (188, 137), (188, 138), (188, 139), (188, 140), (188, 141), (188, 143), (189, 133), (189, 135), (189, 136), (189, 137), (189, 138), (189, 139), (189, 140), (189, 141), (189, 143), (190, 133), (190, 135), (190, 136), (190, 137), (190, 138), (190, 139), (190, 140), (190, 141), (190, 143), (190, 175), (190, 177), (191, 133), (191, 135), (191, 136), (191, 137), (191, 138), (191, 139), (191, 140), (191, 141), (191, 143), (191, 174), (191, 177), (192, 133), (192, 135), (192, 136), (192, 137), (192, 138), (192, 139), (192, 140), (192, 141), (192, 143), (192, 174), (192, 177), (193, 133), (193, 135), (193, 136), (193, 137), (193, 138), (193, 139), (193, 140), (193, 141), (193, 143), (193, 174), 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(150, 194), (150, 196), (150, 197), (150, 198), (150, 199), (150, 200), (150, 201), (150, 202), (150, 203), (150, 204), (150, 205), (150, 206), (150, 207), (150, 208), (150, 209), (150, 210), (150, 211), (150, 213), (151, 194), (151, 196), (151, 197), (151, 198), (151, 199), (151, 200), (151, 201), (151, 202), (151, 203), (151, 204), (151, 205), (151, 206), (151, 207), (151, 208), (151, 209), (151, 210), (151, 211), (151, 213), (152, 194), (152, 196), (152, 197), (152, 198), (152, 199), (152, 200), (152, 201), (152, 202), (152, 203), (152, 204), (152, 205), (152, 206), (152, 207), (152, 208), (152, 209), (152, 210), (152, 211), (152, 213), (153, 194), (153, 197), (153, 198), (153, 199), (153, 200), (153, 201), (153, 202), (153, 203), (153, 204), (153, 205), (153, 206), (153, 207), (153, 208), (153, 209), (153, 210), (153, 211), (153, 213), (154, 195), (154, 198), (154, 199), (154, 200), (154, 201), (154, 202), (154, 203), (154, 204), (154, 205), (154, 206), (154, 207), (154, 208), (154, 209), (154, 210), (154, 211), (154, 213), (155, 196), (155, 199), (155, 200), (155, 201), (155, 202), (155, 203), (155, 204), (155, 205), (155, 206), (155, 207), (155, 208), (155, 209), (155, 210), (155, 212), (156, 198), (156, 200), (156, 201), (156, 202), (156, 203), (156, 204), (156, 205), (156, 206), (156, 207), (156, 208), (156, 209), (156, 211), (157, 199), (157, 201), (157, 202), (157, 203), (157, 204), (157, 205), (157, 206), (157, 207), (157, 208), (157, 209), (157, 211), (158, 200), (158, 202), (158, 203), (158, 204), (158, 205), (158, 206), (158, 207), (158, 208), (158, 210), (159, 201), (159, 209), (160, 202), (160, 204), (160, 205), (160, 206), (160, 207), (160, 209), (239, 202), (239, 204), (239, 205), (239, 206), (239, 207), (239, 209), (240, 201), (240, 209), (240, 210), (241, 200), (241, 202), (241, 203), (241, 204), (241, 205), (241, 206), (241, 207), (241, 208), (241, 210), (242, 199), (242, 201), (242, 202), (242, 203), (242, 204), (242, 205), (242, 206), 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(248, 197), (248, 198), (248, 199), (248, 200), (248, 201), (248, 202), (248, 203), (248, 204), (248, 205), (248, 206), (248, 207), (248, 208), (248, 209), (248, 210), (248, 211), (248, 213), (249, 194), (249, 196), (249, 197), (249, 198), (249, 199), (249, 200), (249, 201), (249, 202), (249, 203), (249, 204), (249, 205), (249, 206), (249, 207), (249, 208), (249, 209), (249, 210), (249, 211), (249, 213), (250, 194), (250, 196), (250, 197), (250, 198), (250, 199), (250, 200), (250, 201), (250, 202), (250, 203), (250, 204), (250, 205), (250, 206), (250, 207), (250, 208), (250, 209), (250, 210), (250, 211), (250, 212), (250, 213), (250, 214), (251, 194), (251, 196), (251, 197), (251, 198), (251, 199), (251, 200), (251, 201), (251, 202), (251, 203), (251, 204), (251, 205), (251, 206), (251, 207), (251, 208), (251, 209), (251, 210), (251, 211), (251, 212), (251, 213), (251, 214), (252, 194), (252, 196), (252, 197), (252, 198), (252, 199), (252, 200), (252, 201), (252, 202), (252, 203), (252, 204), (252, 205), (252, 206), (252, 207), (252, 208), (252, 209), (252, 210), (252, 211), (252, 212), (252, 213), (252, 214), (253, 194), (253, 196), (253, 197), (253, 198), (253, 199), (253, 200), (253, 201), (253, 202), (253, 203), (253, 204), (253, 205), (253, 206), (253, 207), (253, 208), (253, 209), (253, 210), (253, 211), (253, 213), (254, 194), (254, 196), (254, 197), (254, 198), (254, 199), (254, 200), (254, 201), (254, 202), (254, 203), (254, 204), (254, 205), (254, 206), (254, 207), (254, 208), (254, 209), (254, 210), (254, 211), (254, 213), (255, 194), (255, 196), (255, 197), (255, 198), (255, 199), (255, 200), (255, 201), (255, 202), (255, 203), (255, 204), (255, 205), (255, 206), (255, 207), (255, 208), (255, 209), (255, 210), (255, 211), (255, 213), (256, 194), (256, 196), (256, 197), (256, 198), (256, 199), (256, 200), (256, 201), (256, 202), (256, 203), (256, 204), (256, 205), (256, 206), (256, 207), (256, 208), (256, 209), (256, 210), (256, 211), (256, 213), 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(261, 203), (261, 204), (261, 205), (261, 206), (261, 207), (261, 208), (261, 209), (261, 210), (261, 211), (261, 213), (262, 192), (262, 194), (262, 195), (262, 196), (262, 197), (262, 198), (262, 199), (262, 200), (262, 201), (262, 202), (262, 203), (262, 204), (262, 205), (262, 206), (262, 207), (262, 208), (262, 209), (262, 210), (262, 212), (262, 213), (263, 191), (263, 193), (263, 194), (263, 195), (263, 196), (263, 197), (263, 198), (263, 199), (263, 200), (263, 201), (263, 202), (263, 203), (263, 204), (263, 205), (263, 206), (263, 207), (263, 208), (263, 209), (263, 210), (263, 212), (264, 191), (264, 193), (264, 194), (264, 195), (264, 196), (264, 197), (264, 198), (264, 199), (264, 200), (264, 201), (264, 202), (264, 203), (264, 204), (264, 205), (264, 206), (264, 207), (264, 208), (264, 209), (264, 210), (264, 212), (265, 190), (265, 192), (265, 193), (265, 194), (265, 195), (265, 196), (265, 197), (265, 198), (265, 199), (265, 200), (265, 201), (265, 202), (265, 203), (265, 204), (265, 205), (265, 206), (265, 207), (265, 208), (265, 209), (265, 210), (265, 212), (266, 189), (266, 191), (266, 192), (266, 193), (266, 194), (266, 195), (266, 196), (266, 197), (266, 198), (266, 199), (266, 200), (266, 201), (266, 202), (266, 203), (266, 204), (266, 205), (266, 206), (266, 207), (266, 208), (266, 209), (266, 210), (266, 212), (267, 188), (267, 190), (267, 191), (267, 192), (267, 193), (267, 194), (267, 195), (267, 196), (267, 197), (267, 198), (267, 199), (267, 200), (267, 201), (267, 202), (267, 203), (267, 204), (267, 205), (267, 206), (267, 207), (267, 208), (267, 209), (267, 211), (268, 187), (268, 189), (268, 190), (268, 191), (268, 192), (268, 193), (268, 194), (268, 195), (268, 196), (268, 197), (268, 198), (268, 199), (268, 200), (268, 201), (268, 202), (268, 203), (268, 204), (268, 205), (268, 206), (268, 207), (268, 208), (268, 209), (268, 211), (269, 187), (269, 189), (269, 190), (269, 191), (269, 192), (269, 193), (269, 194), (269, 195), 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(273, 195), (273, 196), (273, 197), (273, 198), (273, 199), (273, 200), (273, 201), (273, 202), (273, 203), (273, 204), (273, 205), (273, 206), (273, 208), (274, 189), (274, 191), (274, 192), (274, 193), (274, 194), (274, 195), (274, 196), (274, 197), (274, 198), (274, 199), (274, 200), (274, 201), (274, 202), (274, 203), (274, 204), (274, 205), (274, 208), (275, 189), (275, 191), (275, 192), (275, 193), (275, 194), (275, 195), (275, 196), (275, 197), (275, 198), (275, 199), (275, 200), (275, 201), (275, 202), (275, 203), (275, 204), (275, 205), (275, 207), (276, 190), (276, 192), (276, 193), (276, 194), (276, 195), (276, 196), (276, 197), (276, 198), (276, 199), (276, 200), (276, 201), (276, 202), (276, 203), (276, 206), (277, 190), (277, 192), (277, 193), (277, 194), (277, 195), (277, 196), (277, 197), (277, 198), (277, 199), (277, 200), (277, 201), (277, 202), (277, 205), (278, 190), (278, 192), (278, 193), (278, 194), (278, 195), (278, 196), (278, 197), (278, 198), (278, 199), (278, 200), (278, 204), (279, 191), (279, 193), (279, 194), (279, 195), (279, 196), (279, 197), (279, 198), (279, 199), (279, 202), (280, 191), (280, 193), (280, 194), (280, 195), (280, 196), (280, 197), (280, 200), (281, 191), (281, 198), (282, 192), (282, 194), (282, 195), (282, 197), ) coordinates_FF1300 = ((106, 184), (107, 181), (107, 184), (108, 181), (108, 184), (109, 180), (109, 182), (109, 183), (109, 185), (110, 180), (110, 182), (110, 183), (110, 185), (111, 179), (111, 181), (111, 182), (111, 183), (111, 185), (112, 179), (112, 181), (112, 182), (112, 183), (112, 184), (112, 186), (113, 179), (113, 181), (113, 182), (113, 183), (113, 184), (113, 186), (114, 179), (114, 181), (114, 182), (114, 183), (114, 184), (114, 185), (114, 187), (115, 179), (115, 181), (115, 182), (115, 183), (115, 184), (115, 185), (115, 187), (116, 178), (116, 180), (116, 181), (116, 182), (116, 183), (116, 184), (116, 185), (116, 186), (116, 188), (117, 178), (117, 180), (117, 181), (117, 182), (117, 183), (117, 184), (117, 185), (117, 186), (117, 187), (117, 189), (118, 178), (118, 180), (118, 181), (118, 182), (118, 183), (118, 184), (118, 185), (118, 186), (118, 187), (118, 189), (119, 178), (119, 180), (119, 181), (119, 182), (119, 183), (119, 184), (119, 185), (119, 186), (119, 187), (119, 189), (120, 178), (120, 179), (120, 180), (120, 181), (120, 182), (120, 183), (120, 184), (120, 185), (120, 186), (120, 188), (121, 179), (121, 181), (121, 182), (121, 183), (121, 184), (121, 185), (121, 186), (121, 188), (122, 179), (122, 181), (122, 182), (122, 183), (122, 184), (122, 185), (122, 186), (122, 188), (123, 179), (123, 181), (123, 182), (123, 183), (123, 184), (123, 185), (123, 187), (124, 179), (124, 181), (124, 182), (124, 183), (124, 184), (124, 185), (124, 187), (125, 180), (125, 182), (125, 183), (125, 184), (125, 185), (125, 187), (126, 180), (126, 182), (126, 183), (126, 184), (126, 186), (127, 181), (127, 183), (127, 184), (127, 186), (128, 182), (128, 185), (129, 183), (129, 185), (269, 185), (270, 183), (270, 185), (271, 182), (272, 181), (272, 183), (272, 184), (272, 186), (273, 180), (273, 182), (273, 183), (273, 184), (273, 186), (274, 180), (274, 182), (274, 183), (274, 184), (274, 185), (274, 187), (275, 179), (275, 181), (275, 182), (275, 183), (275, 184), (275, 185), (275, 187), (276, 179), (276, 181), (276, 182), (276, 183), (276, 184), (276, 185), (276, 187), (277, 179), (277, 181), (277, 182), (277, 183), (277, 184), (277, 185), (277, 186), (277, 188), (278, 179), (278, 181), (278, 182), (278, 183), (278, 184), (278, 185), (278, 186), (278, 188), (279, 178), (279, 179), (279, 180), (279, 181), (279, 182), (279, 183), (279, 184), (279, 185), (279, 186), (279, 188), (280, 178), (280, 180), (280, 181), (280, 182), (280, 183), (280, 184), (280, 185), (280, 186), (280, 187), (280, 189), (281, 178), (281, 180), (281, 181), (281, 182), (281, 183), (281, 184), (281, 185), (281, 186), (281, 187), (281, 189), (282, 178), (282, 180), (282, 181), (282, 182), (282, 183), (282, 184), (282, 185), (282, 186), (282, 187), (282, 189), (283, 178), (283, 180), (283, 181), (283, 182), (283, 183), (283, 184), (283, 185), (283, 186), (283, 188), (284, 179), (284, 181), (284, 182), (284, 183), (284, 184), (284, 185), (284, 187), (285, 179), (285, 181), (285, 182), (285, 183), (285, 184), (285, 185), (285, 187), (286, 179), (286, 181), (286, 182), (286, 183), (286, 184), (286, 186), (287, 179), (287, 181), (287, 182), (287, 183), (287, 184), (287, 186), (288, 179), (288, 181), (288, 182), (288, 183), (288, 185), (289, 180), (289, 182), (289, 183), (289, 185), (290, 180), (290, 182), (290, 183), (290, 185), (291, 181), (291, 184), (292, 184), (293, 184), ) coordinates_007F4E = ((96, 107), (96, 109), (96, 110), (96, 111), (96, 112), (96, 114), (97, 106), (98, 104), (98, 107), (98, 108), (98, 109), (98, 110), (98, 111), (98, 112), (98, 114), (99, 103), (99, 106), (99, 107), (99, 108), (99, 109), (99, 110), (99, 111), (99, 112), (99, 114), (100, 102), (100, 104), (100, 105), (100, 106), (100, 107), (100, 108), (100, 109), (100, 110), (100, 111), (100, 112), (100, 114), (101, 101), (101, 103), (101, 104), (101, 105), (101, 106), (101, 107), (101, 108), (101, 109), (101, 110), (101, 111), (101, 112), (101, 114), (102, 100), (102, 102), (102, 103), (102, 104), (102, 105), (102, 106), (102, 107), (102, 108), (102, 109), (102, 110), (102, 111), (102, 112), (102, 114), (103, 99), (103, 101), (103, 102), (103, 103), (103, 104), (103, 105), (103, 106), (103, 107), (103, 108), (103, 109), (103, 110), (103, 111), (103, 112), (103, 114), (104, 98), (104, 100), (104, 101), (104, 102), (104, 103), (104, 104), (104, 105), (104, 106), (104, 107), (104, 108), (104, 109), (104, 110), (104, 111), (104, 112), (104, 114), (105, 97), (105, 99), (105, 100), (105, 101), (105, 102), (105, 103), (105, 104), (105, 105), (105, 106), (105, 107), (105, 108), (105, 109), (105, 110), (105, 111), (105, 112), (105, 114), (106, 96), (106, 98), 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(336, 195), (337, 193), (337, 195)) coordinates_ff00_a6 = ((187, 129), (187, 131), (188, 126), (188, 131), (189, 124), (189, 128), (189, 129), (189, 131), (190, 122), (190, 126), (190, 127), (190, 128), (190, 129), (190, 131), (191, 120), (191, 124), (191, 125), (191, 126), (191, 127), (191, 128), (191, 129), (191, 131), (192, 119), (192, 122), (192, 123), (192, 124), (192, 125), (192, 126), (192, 127), (192, 128), (192, 129), (192, 131), (193, 118), (193, 120), (193, 121), (193, 122), (193, 123), (193, 124), (193, 125), (193, 126), (193, 127), (193, 128), (193, 129), (193, 131), (194, 118), (194, 120), (194, 121), (194, 122), (194, 123), (194, 124), (194, 125), (194, 126), (194, 127), (194, 128), (194, 129), (194, 131), (195, 118), (195, 120), (195, 121), (195, 122), (195, 123), (195, 124), (195, 125), (195, 126), (195, 127), (195, 128), (195, 129), (195, 131), (196, 118), (196, 131), (197, 119), (197, 121), (197, 122), (197, 123), (197, 124), (197, 125), (197, 126), (197, 127), (197, 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131), (212, 129), (212, 131)) coordinates_7_f0053 = ((159, 125), (159, 127), (160, 123), (160, 129), (161, 122), (161, 125), (161, 126), (161, 127), (161, 131), (162, 120), (162, 123), (162, 124), (162, 125), (162, 126), (162, 127), (162, 128), (162, 129), (162, 132), (163, 120), (163, 122), (163, 123), (163, 124), (163, 125), (163, 126), (163, 127), (163, 128), (163, 129), (163, 130), (163, 133), (164, 120), (164, 122), (164, 123), (164, 124), (164, 125), (164, 126), (164, 127), (164, 128), (164, 129), (164, 130), (164, 131), (164, 133), (165, 120), (165, 122), (165, 123), (165, 124), (165, 125), (165, 126), (165, 127), (165, 128), (165, 129), (165, 130), (165, 131), (165, 132), (165, 134), (166, 121), (166, 123), (166, 124), (166, 125), (166, 126), (166, 127), (166, 128), (166, 129), (166, 130), (166, 131), (166, 132), (166, 134), (167, 121), (167, 123), (167, 124), (167, 125), (167, 126), (167, 127), (167, 128), (167, 129), (167, 130), (167, 131), (167, 132), (167, 134), (168, 121), 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(239, 129), (240, 125), (240, 127)) coordinates_7_f0013 = ((184, 139), (184, 142), (185, 137), (185, 143), (186, 134), (186, 136), (186, 139), (186, 140), (186, 141), (186, 143), (187, 134), (187, 137), (187, 138), (187, 139), (187, 140), (187, 141), (187, 143), (188, 134), (188, 136), (188, 137), (188, 138), (188, 139), (188, 140), (188, 141), (188, 143), (189, 133), (189, 135), (189, 136), (189, 137), (189, 138), (189, 139), (189, 140), (189, 141), (189, 143), (190, 133), (190, 135), (190, 136), (190, 137), (190, 138), (190, 139), (190, 140), (190, 141), (190, 143), (190, 175), (190, 177), (191, 133), (191, 135), (191, 136), (191, 137), (191, 138), (191, 139), (191, 140), (191, 141), (191, 143), (191, 174), (191, 177), (192, 133), (192, 135), (192, 136), (192, 137), (192, 138), (192, 139), (192, 140), (192, 141), (192, 143), (192, 174), (192, 177), (193, 133), (193, 135), (193, 136), (193, 137), (193, 138), (193, 139), (193, 140), (193, 141), (193, 143), (193, 174), (193, 177), (194, 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class Channel(object): '''Contains a collection of channel related methods.''' async def get_channel(self, channel_id) -> dict: '''https://discord.com/developers/docs/resources/channel#get-channel''' return await self._request('GET', uri=f'/channels/{channel_id}') async def modify_channel(self, channel_id, name: str=None, icon=None, type: int=None, position: int=None, topic: str=None, nsfw: bool=None, rate_limit_per_user: int=None, bitrate: int=None, user_limit: int=None, permission_overwrites: list=None, parent_id=None, rtc_region: str=None, video_quality_mode: int=None, default_auto_archive_duration: int=None, archived: bool=None, auto_archive_duration: int=None, locked: bool=None, invitable: bool=None, **kwargs ) -> dict: '''https://discord.com/developers/docs/resources/channel#modify-channel ----- P A R M E T E R S ----- If Channel == Group DM @name @icon If Channel == Guild Channel @name @type @position @topic @nsfw @rate_limit_per_user @bitrate @user_limit @permission_overwrites @parent_id @rtc_region @video_quality_mode @default_auto_archive_duration If Chanel == Thread @name @archived @auto_archive_duration @locked @invitable @rate_limit_per_user ''' payload: dict = { 'name': name, 'icon': icon, 'type': type, 'topic': topic, 'nsfw': nsfw, 'rate_limit_per_user': rate_limit_per_user, 'bitrate': bitrate, 'user_limit': user_limit, 'permission_overwrites': permission_overwrites, 'parent_id': parent_id, 'rtc_region': rtc_region, 'video_quality_mode': video_quality_mode, 'default_auto_archive_duration': default_auto_archive_duration, 'archived': archived, 'auto_archive_duration': auto_archive_duration, 'locked': locked, 'invitable': invitable } payload: dict = {k:v for k,v in payload.items() if v is not None} return await self._request('PATCH', params=payload, uri=f'/channels/{channel_id}') async def delete_close_channel(self, channel_id) -> dict: '''https://discord.com/developers/docs/resources/channel#deleteclose-channel''' return await self._request('DELETE', uri=f'/channels/{channel_id}') async def get_channel_messages(self, channel_id, around=None, before=None, after=None, limit: int=None, ) -> dict: '''https://discord.com/developers/docs/resources/channel#get-channel-messages''' payload: dict = { 'around': around, 'before': before, 'after': after, 'limit': limit } payload: dict = {k:v for k,v in payload.items() if v is not None} return await self._request('GET', params=payload, uri=f'/channels/{channel_id}/messages') async def get_channel_message(self) -> dict: '''https://discord.com/developers/docs/resources/channel#get-channel-message''' return await self._request('GET',uri=f'/channels/{channel_id}/messages') async def create_message(self, channel_id, content: str=None, tts: bool=None, embeds: [dict]=None, allowed_mentions=None, message_reference=None, components: list=None, files: [str]=None, attachments: [dict]=None, sticker_ids: list=None, flags: int=None, ) -> dict: '''https://discord.com/developers/docs/resources/channel#create-message''' payload: dict = { 'content': content, 'tts': tts, 'allowed_mentions': allowed_mentions, 'message_reference': message_reference, 'components': components, 'sticker_ids': sticker_ids, 'flags': flags, 'embeds': embeds, 'attachments': attachments } payload: dict = {k:v for k,v in payload.items() if v is not None} uri = f'/channels/{channel_id}/messages' if files != None: return await self._send_file_attachment(method='POST', uri=uri, file_names=files, payload=payload) else: return await self._request(method='POST', uri=uri, params=payload) async def crosspost_message(self, message_id, channel_id) -> dict: '''https://discord.com/developers/docs/resources/channel#crosspost-message''' return await self._request('POST', uri=f'/channels/{channel_id}/messages/{message_id}/crosspost') async def create_reaction(self, channel_id, message_id, emoji) -> dict: '''https://discord.com/developers/docs/resources/channel#create-reaction "The emoji must be URL Encoded or the request will fail with 10014: Unknown Emoji. To use custom emoji, you must encode it in the format name:id with the emoji name and emoji id." ''' return await self._request('PUT', uri=f'/channels/{channel_id}/messages/{message_id}/reactions/{emoji}/@me') async def delete_own_reaction(self, channel_id, message_id, emoji) -> dict: '''https://discord.com/developers/docs/resources/channel#delete-own-reaction "The emoji must be URL Encoded or the request will fail with 10014: Unknown Emoji. To use custom emoji, you must encode it in the format name:id with the emoji name and emoji id." ''' return await self._request('DELETE', uri=f'/channels/{channel_id}/messages/{message_id}/reactions/{emoji}/@me') async def delete_user_reaction(self, channel_id, message_id, user_id, emoji) -> dict: '''https://discord.com/developers/docs/resources/channel#delete-user-reaction "The emoji must be URL Encoded or the request will fail with 10014: Unknown Emoji. To use custom emoji, you must encode it in the format name:id with the emoji name and emoji id." ''' return await self._request('DELETE', uri=f'/channels/{channel_id}/messages/{message_id}/reactions/{emoji}/{user_id}') async def get_reactions(self, channel_id, message_id, emoji, after=None, limit: int=None) -> dict: '''https://discord.com/developers/docs/resources/channel#get-reactions "The emoji must be URL Encoded or the request will fail with 10014: Unknown Emoji. To use custom emoji, you must encode it in the format name:id with the emoji name and emoji id." ''' return await self._request('GET', uri=f'/channels/{channel_id}/messages/{message_id}/reactions/{emoji}') async def delete_all_reactions(self, channel_id, message_id) -> dict: '''https://discord.com/developers/docs/resources/channel#delete-all-reactions''' return await self._request('DELETE', uri=f'/channels/{channel_id}/messages/{message_id}/reactions') async def delete_all_reactions_for_emoji(self, channel_id, message_id, emoji) -> dict: '''https://discord.com/developers/docs/resources/channel#delete-all-reactions-for-emoji "The emoji must be URL Encoded or the request will fail with 10014: Unknown Emoji. To use custom emoji, you must encode it in the format name:id with the emoji name and emoji id." ''' return await self._request('DELETE', uri=f'/channels/{channel_id}/messages/{message_id}/reactions/{emoji}') async def edit_message(self, channel_id, message_id, content: str=None, embeds: [dict]=None, flags: int=None, allowed_mentions=None, components=list, files: [str]=None, payload_json: str=None, attachments: list=None, **kwargs ) -> dict: '''https://discord.com/developers/docs/resources/channel#edit-message''' payload: dict = { 'content': content, 'flags': flags, 'allowed_mentions': allowed_mentions, 'components': components, 'payload_json': payload_json, 'attachments': attachments, 'embeds': embeds } payload: dict = {k:v for k,v in payload.items() if v is not None} uri = f'/channels/{channel_id}/messages/{message_id}' if files != None: return await self._send_file_attachment(method='POST', uri=uri, file_names=files, payload=payload) else: return await self._request(method='POST', uri=uri, payload=payload) async def delete_message(self, channel_id, message_id) -> dict: '''https://discord.com/developers/docs/resources/channel#delete-message''' return await self._request('DELETE', uri=f'/channels/{channel_id}/messages/{message_id}') async def bulk_delete_message(self, channel_id, messages: list) -> dict: '''https://discord.com/developers/docs/resources/channel#bulk-delete-messages''' paylaod = { 'messages': messages } return await self._request('POST', params=payload, uri=f'/channels/{channel_id}/messages/bulk-delete') async def edit_channel_permissions(self, channel_id, overwrite_id, allow=None, deny=None, type: int=None) -> dict: '''https://discord.com/developers/docs/resources/channel#edit-channel-permissions''' payload: dict = { 'allow': allow, 'deny': deny, 'type': type } payload: dict = {k:v for k,v in payload.items() if v is not None} return await self._request('PUT', params=payload, uri=f'/channels/{channel_id}/permissions/{overwrite_id}') async def get_channel_invites(self, channel_id) -> dict: '''https://discord.com/developers/docs/resources/channel#get-channel-invites''' return await self._request('GET', uri=f'/channels/{channel_id}/invites') async def create_channel_invite(self, channel_id, max_age: int=None, max_uses: int=None, temporary: bool=None, unique: bool=None, target_type: int=None, target_user_id=None, target_application_id=None, ) -> dict: '''https://discord.com/developers/docs/resources/channel#create-channel-invite''' payload: dict = { 'max_age': max_age, 'max_uses': max_uses, 'temporary': temporary, 'unique': unique, 'target_type': target_type, 'target_user_id': target_user_id, 'target_application_id': target_application_id } payload: dict = {k:v for k,v in payload.items() if v is not None} return await self._request('POST', params=payload, uri=f'/channels/{channel_id}/invites') async def delete_channel_permission(self, channel_id, overwrite_id) -> dict: '''https://discord.com/developers/docs/resources/channel#delete-channel-permission''' return await self._request('DELETE', uri=f'/channels/{channel_id}/permissions/{overwrite_id}') async def follow_news_channel(self, channel_id, webhook_channel_id) -> dict: '''https://discord.com/developers/docs/resources/channel#follow-news-channel''' payload: dict = { 'webhook_channel_id': webhook_channel_id } return await self._request('POST', params=payload, uri=f'/channels/{channel_id}/followers') async def trigger_typing_indicatoe(self, channel_id) -> dict: '''https://discord.com/developers/docs/resources/channel#trigger-typing-indicator''' return await self._request('POST', uri=f'/channels/{channel_id}/typing') async def get_pinned_message(self, channel_id) -> dict: '''https://discord.com/developers/docs/resources/channel#get-pinned-messages''' return await self._request('GET', uri=f'/channels/{channel_id}/pins') async def pin_message(self, channel_id, message_id) -> dict: '''https://discord.com/developers/docs/resources/channel#pin-message''' return await self._request('PUT', uri=f'/channels/{channel_id}/pins/{message_id}') async def unpin_message(self, channel_id, message_id) -> dict: '''https://discord.com/developers/docs/resources/channel#unpin-message''' return await self._request('DELETE', uri=f'/channels/{channel_id}/pins/{message_id}') async def group_dm_add_recipient(self, channel_id, user_id, access_token, nick) -> dict: '''https://discord.com/developers/docs/resources/channel#group-dm-add-recipient''' payload: dict = { 'access_token': access_token, 'nick':nick } payload: dict = {k:v for k,v in payload.items() if v is not None} return await self._request('PUT', params=payload, uri=f'/channels/{channel_id}/recipients/{user_id}') async def group_dm_remove_recipient(self, channel_id, user_id) -> dict: '''https://discord.com/developers/docs/resources/channel#group-dm-remove-recipient''' return await self._request('DELETE', uri=f'/channels/{channel_id}/recipients/{user_id}') async def start_thread_with_message(self, channel_id, user_id, name: str, auto_archive_duration: int=None, rate_limit_per_user: int=None) -> dict: '''https://discord.com/developers/docs/resources/channel#start-thread-with-message''' payload: dict = { 'name': name, 'auto_archive_duration': auto_archive_duration, 'rate_limit_per_user': rate_limit_per_user } payload: dict = {k:v for k,v in payload.items() if v is not None} return await self._request('POST', params=payload, uri=f'/channels/{channel_id}/messages/{message_id}/threads') async def start_thread_without_message(self, channel_id, auto_archive_duration: str=None, type: int=None, invitable: bool=None, rate_limit_per_user: int=None, ) -> dict: '''https://discord.com/developers/docs/resources/channel#start-thread-without-message''' payload: dict = { 'name': name, 'auto_archive_duration': auto_archive_duration, 'type': type, 'invitable': invitable, 'rate_limit_per_user': rate_limit_per_user } payload: dict = {k:v for k,v in payload.items() if v is not None} return await self._request('POST', params=payload, uri=f'/channels/{channel_id}/threads') async def join_thread(self, channel_id) -> dict: '''https://discord.com/developers/docs/resources/channel#join-thread''' return await self._request('PUT', uri=f'/channels/{channel_id}/thread-members/@me') async def add_thread_member(self, channel_id, user_id) -> dict: '''https://discord.com/developers/docs/resources/channel#add-thread-member''' return await self._request('PUT', uri=f'/channels/{channel_id}/thread-members/{user_id}') async def leave_thread(self, channel_id) -> dict: '''https://discord.com/developers/docs/resources/channel#leave-thread''' return await self._request('DELETE', uri=f'/channels/{channel_id}/thread-members/@me') async def remove_thread_member(self, channel_id, user_id) -> dict: '''https://discord.com/developers/docs/resources/channel#remove-thread-member''' return await self._request('DELETE', uri=f'/channels/{channel_id}/thread-members/{user_id}') async def get_thread_member(self, channel_id, user_id) -> dict: '''https://discord.com/developers/docs/resources/channel#get-thread-member''' return await self._request('GET', uri=f'/channels/{channel_id}/thread-members/{user_id}') async def list_thread_member(self, channel_id) -> dict: '''https://discord.com/developers/docs/resources/channel#list-thread-members''' return await self._request('GET', uri=f'/channels/{channel_id}/thread-members') async def list_active_threads(self, channel_id, threads: list, members: list, has_more: bool ) -> dict: '''https://discord.com/developers/docs/resources/channel#list-active-threads''' payload: dict = { 'threads': threads, 'members': members, 'has_more': has_more } return await self._request('GET', params=payload, uri=f'/channels/{channel_id}/threads/active') async def list_public_archived_threads(self, channel_id, before=None, limit:int=None ) -> dict: '''https://discord.com/developers/docs/resources/channel#list-public-archived-threads''' payload: dict = { 'before': before, 'limit': limit} payload: dict = {k:v for k,v in payload.items() if v is not None} return await self._request('GET', params=params, uri=f'/channels/{channel_id}/threads/archived/public') async def list_private_archived_threads(self, channel_id) -> dict: '''https://discord.com/developers/docs/resources/channel#list-private-archived-threads''' payload: dict = { 'before': before, 'limit': limit } payload: dict = {k:v for k,v in payload.items() if v is not None} return await self._request('GET', params=payload, uri=f'/channels/{channel_id}/threads/archived/private') async def list_joined_private_archived_threads(self, channel_id, before=None, limit:int=None) -> dict: '''https://discord.com/developers/docs/resources/channel#list-joined-private-archived-threads''' payload: dict = { 'before': before, 'limit': limit } payload: dict = {k:v for k,v in payload.items() if v is not None} return await self._request('GET', params=payload, uri=f'/channels/{channel_id}/users/@me/threads/archived/private')
class Channel(object): """Contains a collection of channel related methods.""" async def get_channel(self, channel_id) -> dict: """https://discord.com/developers/docs/resources/channel#get-channel""" return await self._request('GET', uri=f'/channels/{channel_id}') async def modify_channel(self, channel_id, name: str=None, icon=None, type: int=None, position: int=None, topic: str=None, nsfw: bool=None, rate_limit_per_user: int=None, bitrate: int=None, user_limit: int=None, permission_overwrites: list=None, parent_id=None, rtc_region: str=None, video_quality_mode: int=None, default_auto_archive_duration: int=None, archived: bool=None, auto_archive_duration: int=None, locked: bool=None, invitable: bool=None, **kwargs) -> dict: """https://discord.com/developers/docs/resources/channel#modify-channel ----- P A R M E T E R S ----- If Channel == Group DM @name @icon If Channel == Guild Channel @name @type @position @topic @nsfw @rate_limit_per_user @bitrate @user_limit @permission_overwrites @parent_id @rtc_region @video_quality_mode @default_auto_archive_duration If Chanel == Thread @name @archived @auto_archive_duration @locked @invitable @rate_limit_per_user """ payload: dict = {'name': name, 'icon': icon, 'type': type, 'topic': topic, 'nsfw': nsfw, 'rate_limit_per_user': rate_limit_per_user, 'bitrate': bitrate, 'user_limit': user_limit, 'permission_overwrites': permission_overwrites, 'parent_id': parent_id, 'rtc_region': rtc_region, 'video_quality_mode': video_quality_mode, 'default_auto_archive_duration': default_auto_archive_duration, 'archived': archived, 'auto_archive_duration': auto_archive_duration, 'locked': locked, 'invitable': invitable} payload: dict = {k: v for (k, v) in payload.items() if v is not None} return await self._request('PATCH', params=payload, uri=f'/channels/{channel_id}') async def delete_close_channel(self, channel_id) -> dict: """https://discord.com/developers/docs/resources/channel#deleteclose-channel""" return await self._request('DELETE', uri=f'/channels/{channel_id}') async def get_channel_messages(self, channel_id, around=None, before=None, after=None, limit: int=None) -> dict: """https://discord.com/developers/docs/resources/channel#get-channel-messages""" payload: dict = {'around': around, 'before': before, 'after': after, 'limit': limit} payload: dict = {k: v for (k, v) in payload.items() if v is not None} return await self._request('GET', params=payload, uri=f'/channels/{channel_id}/messages') async def get_channel_message(self) -> dict: """https://discord.com/developers/docs/resources/channel#get-channel-message""" return await self._request('GET', uri=f'/channels/{channel_id}/messages') async def create_message(self, channel_id, content: str=None, tts: bool=None, embeds: [dict]=None, allowed_mentions=None, message_reference=None, components: list=None, files: [str]=None, attachments: [dict]=None, sticker_ids: list=None, flags: int=None) -> dict: """https://discord.com/developers/docs/resources/channel#create-message""" payload: dict = {'content': content, 'tts': tts, 'allowed_mentions': allowed_mentions, 'message_reference': message_reference, 'components': components, 'sticker_ids': sticker_ids, 'flags': flags, 'embeds': embeds, 'attachments': attachments} payload: dict = {k: v for (k, v) in payload.items() if v is not None} uri = f'/channels/{channel_id}/messages' if files != None: return await self._send_file_attachment(method='POST', uri=uri, file_names=files, payload=payload) else: return await self._request(method='POST', uri=uri, params=payload) async def crosspost_message(self, message_id, channel_id) -> dict: """https://discord.com/developers/docs/resources/channel#crosspost-message""" return await self._request('POST', uri=f'/channels/{channel_id}/messages/{message_id}/crosspost') async def create_reaction(self, channel_id, message_id, emoji) -> dict: """https://discord.com/developers/docs/resources/channel#create-reaction "The emoji must be URL Encoded or the request will fail with 10014: Unknown Emoji. To use custom emoji, you must encode it in the format name:id with the emoji name and emoji id." """ return await self._request('PUT', uri=f'/channels/{channel_id}/messages/{message_id}/reactions/{emoji}/@me') async def delete_own_reaction(self, channel_id, message_id, emoji) -> dict: """https://discord.com/developers/docs/resources/channel#delete-own-reaction "The emoji must be URL Encoded or the request will fail with 10014: Unknown Emoji. To use custom emoji, you must encode it in the format name:id with the emoji name and emoji id." """ return await self._request('DELETE', uri=f'/channels/{channel_id}/messages/{message_id}/reactions/{emoji}/@me') async def delete_user_reaction(self, channel_id, message_id, user_id, emoji) -> dict: """https://discord.com/developers/docs/resources/channel#delete-user-reaction "The emoji must be URL Encoded or the request will fail with 10014: Unknown Emoji. To use custom emoji, you must encode it in the format name:id with the emoji name and emoji id." """ return await self._request('DELETE', uri=f'/channels/{channel_id}/messages/{message_id}/reactions/{emoji}/{user_id}') async def get_reactions(self, channel_id, message_id, emoji, after=None, limit: int=None) -> dict: """https://discord.com/developers/docs/resources/channel#get-reactions "The emoji must be URL Encoded or the request will fail with 10014: Unknown Emoji. To use custom emoji, you must encode it in the format name:id with the emoji name and emoji id." """ return await self._request('GET', uri=f'/channels/{channel_id}/messages/{message_id}/reactions/{emoji}') async def delete_all_reactions(self, channel_id, message_id) -> dict: """https://discord.com/developers/docs/resources/channel#delete-all-reactions""" return await self._request('DELETE', uri=f'/channels/{channel_id}/messages/{message_id}/reactions') async def delete_all_reactions_for_emoji(self, channel_id, message_id, emoji) -> dict: """https://discord.com/developers/docs/resources/channel#delete-all-reactions-for-emoji "The emoji must be URL Encoded or the request will fail with 10014: Unknown Emoji. To use custom emoji, you must encode it in the format name:id with the emoji name and emoji id." """ return await self._request('DELETE', uri=f'/channels/{channel_id}/messages/{message_id}/reactions/{emoji}') async def edit_message(self, channel_id, message_id, content: str=None, embeds: [dict]=None, flags: int=None, allowed_mentions=None, components=list, files: [str]=None, payload_json: str=None, attachments: list=None, **kwargs) -> dict: """https://discord.com/developers/docs/resources/channel#edit-message""" payload: dict = {'content': content, 'flags': flags, 'allowed_mentions': allowed_mentions, 'components': components, 'payload_json': payload_json, 'attachments': attachments, 'embeds': embeds} payload: dict = {k: v for (k, v) in payload.items() if v is not None} uri = f'/channels/{channel_id}/messages/{message_id}' if files != None: return await self._send_file_attachment(method='POST', uri=uri, file_names=files, payload=payload) else: return await self._request(method='POST', uri=uri, payload=payload) async def delete_message(self, channel_id, message_id) -> dict: """https://discord.com/developers/docs/resources/channel#delete-message""" return await self._request('DELETE', uri=f'/channels/{channel_id}/messages/{message_id}') async def bulk_delete_message(self, channel_id, messages: list) -> dict: """https://discord.com/developers/docs/resources/channel#bulk-delete-messages""" paylaod = {'messages': messages} return await self._request('POST', params=payload, uri=f'/channels/{channel_id}/messages/bulk-delete') async def edit_channel_permissions(self, channel_id, overwrite_id, allow=None, deny=None, type: int=None) -> dict: """https://discord.com/developers/docs/resources/channel#edit-channel-permissions""" payload: dict = {'allow': allow, 'deny': deny, 'type': type} payload: dict = {k: v for (k, v) in payload.items() if v is not None} return await self._request('PUT', params=payload, uri=f'/channels/{channel_id}/permissions/{overwrite_id}') async def get_channel_invites(self, channel_id) -> dict: """https://discord.com/developers/docs/resources/channel#get-channel-invites""" return await self._request('GET', uri=f'/channels/{channel_id}/invites') async def create_channel_invite(self, channel_id, max_age: int=None, max_uses: int=None, temporary: bool=None, unique: bool=None, target_type: int=None, target_user_id=None, target_application_id=None) -> dict: """https://discord.com/developers/docs/resources/channel#create-channel-invite""" payload: dict = {'max_age': max_age, 'max_uses': max_uses, 'temporary': temporary, 'unique': unique, 'target_type': target_type, 'target_user_id': target_user_id, 'target_application_id': target_application_id} payload: dict = {k: v for (k, v) in payload.items() if v is not None} return await self._request('POST', params=payload, uri=f'/channels/{channel_id}/invites') async def delete_channel_permission(self, channel_id, overwrite_id) -> dict: """https://discord.com/developers/docs/resources/channel#delete-channel-permission""" return await self._request('DELETE', uri=f'/channels/{channel_id}/permissions/{overwrite_id}') async def follow_news_channel(self, channel_id, webhook_channel_id) -> dict: """https://discord.com/developers/docs/resources/channel#follow-news-channel""" payload: dict = {'webhook_channel_id': webhook_channel_id} return await self._request('POST', params=payload, uri=f'/channels/{channel_id}/followers') async def trigger_typing_indicatoe(self, channel_id) -> dict: """https://discord.com/developers/docs/resources/channel#trigger-typing-indicator""" return await self._request('POST', uri=f'/channels/{channel_id}/typing') async def get_pinned_message(self, channel_id) -> dict: """https://discord.com/developers/docs/resources/channel#get-pinned-messages""" return await self._request('GET', uri=f'/channels/{channel_id}/pins') async def pin_message(self, channel_id, message_id) -> dict: """https://discord.com/developers/docs/resources/channel#pin-message""" return await self._request('PUT', uri=f'/channels/{channel_id}/pins/{message_id}') async def unpin_message(self, channel_id, message_id) -> dict: """https://discord.com/developers/docs/resources/channel#unpin-message""" return await self._request('DELETE', uri=f'/channels/{channel_id}/pins/{message_id}') async def group_dm_add_recipient(self, channel_id, user_id, access_token, nick) -> dict: """https://discord.com/developers/docs/resources/channel#group-dm-add-recipient""" payload: dict = {'access_token': access_token, 'nick': nick} payload: dict = {k: v for (k, v) in payload.items() if v is not None} return await self._request('PUT', params=payload, uri=f'/channels/{channel_id}/recipients/{user_id}') async def group_dm_remove_recipient(self, channel_id, user_id) -> dict: """https://discord.com/developers/docs/resources/channel#group-dm-remove-recipient""" return await self._request('DELETE', uri=f'/channels/{channel_id}/recipients/{user_id}') async def start_thread_with_message(self, channel_id, user_id, name: str, auto_archive_duration: int=None, rate_limit_per_user: int=None) -> dict: """https://discord.com/developers/docs/resources/channel#start-thread-with-message""" payload: dict = {'name': name, 'auto_archive_duration': auto_archive_duration, 'rate_limit_per_user': rate_limit_per_user} payload: dict = {k: v for (k, v) in payload.items() if v is not None} return await self._request('POST', params=payload, uri=f'/channels/{channel_id}/messages/{message_id}/threads') async def start_thread_without_message(self, channel_id, auto_archive_duration: str=None, type: int=None, invitable: bool=None, rate_limit_per_user: int=None) -> dict: """https://discord.com/developers/docs/resources/channel#start-thread-without-message""" payload: dict = {'name': name, 'auto_archive_duration': auto_archive_duration, 'type': type, 'invitable': invitable, 'rate_limit_per_user': rate_limit_per_user} payload: dict = {k: v for (k, v) in payload.items() if v is not None} return await self._request('POST', params=payload, uri=f'/channels/{channel_id}/threads') async def join_thread(self, channel_id) -> dict: """https://discord.com/developers/docs/resources/channel#join-thread""" return await self._request('PUT', uri=f'/channels/{channel_id}/thread-members/@me') async def add_thread_member(self, channel_id, user_id) -> dict: """https://discord.com/developers/docs/resources/channel#add-thread-member""" return await self._request('PUT', uri=f'/channels/{channel_id}/thread-members/{user_id}') async def leave_thread(self, channel_id) -> dict: """https://discord.com/developers/docs/resources/channel#leave-thread""" return await self._request('DELETE', uri=f'/channels/{channel_id}/thread-members/@me') async def remove_thread_member(self, channel_id, user_id) -> dict: """https://discord.com/developers/docs/resources/channel#remove-thread-member""" return await self._request('DELETE', uri=f'/channels/{channel_id}/thread-members/{user_id}') async def get_thread_member(self, channel_id, user_id) -> dict: """https://discord.com/developers/docs/resources/channel#get-thread-member""" return await self._request('GET', uri=f'/channels/{channel_id}/thread-members/{user_id}') async def list_thread_member(self, channel_id) -> dict: """https://discord.com/developers/docs/resources/channel#list-thread-members""" return await self._request('GET', uri=f'/channels/{channel_id}/thread-members') async def list_active_threads(self, channel_id, threads: list, members: list, has_more: bool) -> dict: """https://discord.com/developers/docs/resources/channel#list-active-threads""" payload: dict = {'threads': threads, 'members': members, 'has_more': has_more} return await self._request('GET', params=payload, uri=f'/channels/{channel_id}/threads/active') async def list_public_archived_threads(self, channel_id, before=None, limit: int=None) -> dict: """https://discord.com/developers/docs/resources/channel#list-public-archived-threads""" payload: dict = {'before': before, 'limit': limit} payload: dict = {k: v for (k, v) in payload.items() if v is not None} return await self._request('GET', params=params, uri=f'/channels/{channel_id}/threads/archived/public') async def list_private_archived_threads(self, channel_id) -> dict: """https://discord.com/developers/docs/resources/channel#list-private-archived-threads""" payload: dict = {'before': before, 'limit': limit} payload: dict = {k: v for (k, v) in payload.items() if v is not None} return await self._request('GET', params=payload, uri=f'/channels/{channel_id}/threads/archived/private') async def list_joined_private_archived_threads(self, channel_id, before=None, limit: int=None) -> dict: """https://discord.com/developers/docs/resources/channel#list-joined-private-archived-threads""" payload: dict = {'before': before, 'limit': limit} payload: dict = {k: v for (k, v) in payload.items() if v is not None} return await self._request('GET', params=payload, uri=f'/channels/{channel_id}/users/@me/threads/archived/private')
# # PySNMP MIB module AH-INTERFACE-MIB (http://snmplabs.com/pysmi) # ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/AH-INTERFACE-MIB # Produced by pysmi-0.3.4 at Mon Apr 29 17:00:22 2019 # On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4 # Using Python version 3.7.3 (default, Mar 27 2019, 09:23:15) # AhString, AhNodeID, ahAPInterface, AhMACProtocol, AhInterfaceType, AhInterfaceMode = mibBuilder.importSymbols("AH-SMI-MIB", "AhString", "AhNodeID", "ahAPInterface", "AhMACProtocol", "AhInterfaceType", "AhInterfaceMode") ObjectIdentifier, Integer, OctetString = mibBuilder.importSymbols("ASN1", "ObjectIdentifier", "Integer", "OctetString") NamedValues, = mibBuilder.importSymbols("ASN1-ENUMERATION", "NamedValues") ConstraintsIntersection, ConstraintsUnion, SingleValueConstraint, ValueSizeConstraint, ValueRangeConstraint = mibBuilder.importSymbols("ASN1-REFINEMENT", "ConstraintsIntersection", "ConstraintsUnion", "SingleValueConstraint", "ValueSizeConstraint", "ValueRangeConstraint") ifEntry, ifIndex = mibBuilder.importSymbols("IF-MIB", "ifEntry", "ifIndex") ModuleCompliance, NotificationGroup = mibBuilder.importSymbols("SNMPv2-CONF", "ModuleCompliance", "NotificationGroup") IpAddress, Counter32, NotificationType, ModuleIdentity, Gauge32, ObjectIdentity, Unsigned32, TimeTicks, Bits, Counter64, iso, MibIdentifier, Integer32, MibScalar, MibTable, MibTableRow, MibTableColumn = mibBuilder.importSymbols("SNMPv2-SMI", "IpAddress", "Counter32", "NotificationType", "ModuleIdentity", "Gauge32", "ObjectIdentity", "Unsigned32", "TimeTicks", "Bits", "Counter64", "iso", "MibIdentifier", "Integer32", "MibScalar", "MibTable", "MibTableRow", "MibTableColumn") TextualConvention, DisplayString, TruthValue = mibBuilder.importSymbols("SNMPv2-TC", "TextualConvention", "DisplayString", "TruthValue") ahInterface = ModuleIdentity((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1)) if mibBuilder.loadTexts: ahInterface.setLastUpdated('200806160000Z') if mibBuilder.loadTexts: ahInterface.setOrganization('Aerohive Networks, Inc') class AhAuthenticationMethod(TextualConvention, Integer32): status = 'current' subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(SingleValueConstraint(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10)) namedValues = NamedValues(("cwp", 0), ("open", 1), ("wep-open", 2), ("wep-shared", 3), ("wpa-psk", 4), ("wpa2-psk", 5), ("wpa-8021x", 6), ("wpa2-8021X", 7), ("wpa-auto-psk", 8), ("wpa-auto-8021x", 9), ("dynamic-wep", 10)) class AhEncrytionMethod(TextualConvention, Integer32): status = 'current' subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(SingleValueConstraint(0, 1, 2, 3)) namedValues = NamedValues(("AES", 0), ("TKIP", 1), ("WEP", 2), ("Non", 3)) ahXIfTable = MibTable((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 1), ) if mibBuilder.loadTexts: ahXIfTable.setStatus('current') ahXIfEntry = MibTableRow((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 1, 1), ) ifEntry.registerAugmentions(("AH-INTERFACE-MIB", "ahXIfEntry")) ahXIfEntry.setIndexNames(*ifEntry.getIndexNames()) if mibBuilder.loadTexts: ahXIfEntry.setStatus('current') ahIfName = MibTableColumn((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 1, 1, 1), AhString()).setMaxAccess("readonly") if mibBuilder.loadTexts: ahIfName.setStatus('current') ahSSIDName = MibTableColumn((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 1, 1, 2), AhString()).setMaxAccess("readonly") if mibBuilder.loadTexts: ahSSIDName.setStatus('current') ahIfPromiscuous = MibTableColumn((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 1, 1, 3), TruthValue()).setMaxAccess("readonly") if mibBuilder.loadTexts: ahIfPromiscuous.setStatus('current') ahIfType = MibTableColumn((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 1, 1, 4), AhInterfaceType()).setMaxAccess("readonly") if mibBuilder.loadTexts: ahIfType.setStatus('current') ahIfMode = MibTableColumn((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 1, 1, 5), AhInterfaceMode()).setMaxAccess("readonly") if mibBuilder.loadTexts: ahIfMode.setStatus('current') ahIfConfMode = MibTableColumn((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 1, 1, 6), AhInterfaceMode()).setMaxAccess("readonly") if mibBuilder.loadTexts: ahIfConfMode.setStatus('current') ahAssociationTable = MibTable((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 2), ) if mibBuilder.loadTexts: ahAssociationTable.setStatus('current') ahAssociationEntry = MibTableRow((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 2, 1), ).setIndexNames((0, "IF-MIB", "ifIndex"), (0, "AH-INTERFACE-MIB", "ahClientMac")) if mibBuilder.loadTexts: ahAssociationEntry.setStatus('current') ahClientMac = MibTableColumn((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 2, 1, 1), AhNodeID()).setMaxAccess("readonly") if mibBuilder.loadTexts: ahClientMac.setStatus('current') ahClientIP = MibTableColumn((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 2, 1, 2), IpAddress()).setMaxAccess("readonly") if mibBuilder.loadTexts: ahClientIP.setStatus('current') ahClientHostname = MibTableColumn((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 2, 1, 3), AhString()).setMaxAccess("readonly") if mibBuilder.loadTexts: ahClientHostname.setStatus('current') ahClientRSSI = MibTableColumn((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 2, 1, 4), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: ahClientRSSI.setStatus('current') ahClientLinkUptime = MibTableColumn((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 2, 1, 5), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: ahClientLinkUptime.setStatus('current') ahClientCWPUsed = MibTableColumn((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 2, 1, 6), TruthValue()).setMaxAccess("readonly") if mibBuilder.loadTexts: ahClientCWPUsed.setStatus('current') ahClientAuthMethod = MibTableColumn((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 2, 1, 7), AhAuthenticationMethod()).setMaxAccess("readonly") if mibBuilder.loadTexts: ahClientAuthMethod.setStatus('current') ahClientEncryptionMethod = MibTableColumn((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 2, 1, 8), AhEncrytionMethod()).setMaxAccess("readonly") if mibBuilder.loadTexts: ahClientEncryptionMethod.setStatus('current') ahClientMACProtocol = MibTableColumn((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 2, 1, 9), AhMACProtocol()).setMaxAccess("readonly") if mibBuilder.loadTexts: ahClientMACProtocol.setStatus('current') ahClientSSID = MibTableColumn((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 2, 1, 10), AhString()).setMaxAccess("readonly") if mibBuilder.loadTexts: ahClientSSID.setStatus('current') ahClientVLAN = MibTableColumn((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 2, 1, 11), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: ahClientVLAN.setStatus('current') ahClientUserProfId = MibTableColumn((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 2, 1, 12), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: ahClientUserProfId.setStatus('current') ahClientChannel = MibTableColumn((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 2, 1, 13), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: ahClientChannel.setStatus('current') ahClientLastTxRate = MibTableColumn((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 2, 1, 14), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: ahClientLastTxRate.setStatus('current') ahClientUsername = MibTableColumn((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 2, 1, 15), AhString()).setMaxAccess("readonly") if mibBuilder.loadTexts: ahClientUsername.setStatus('current') ahClientRxDataFrames = MibTableColumn((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 2, 1, 16), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: ahClientRxDataFrames.setStatus('current') ahClientRxDataOctets = MibTableColumn((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 2, 1, 17), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: ahClientRxDataOctets.setStatus('current') ahClientRxMgtFrames = MibTableColumn((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 2, 1, 18), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: ahClientRxMgtFrames.setStatus('current') ahClientRxUnicastFrames = MibTableColumn((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 2, 1, 19), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: ahClientRxUnicastFrames.setStatus('current') ahClientRxMulticastFrames = MibScalar((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 2, 1, 20), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: ahClientRxMulticastFrames.setStatus('current') ahClientRxBroadcastFrames = MibScalar((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 2, 1, 21), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: ahClientRxBroadcastFrames.setStatus('current') ahClientRxMICFailures = MibTableColumn((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 2, 1, 22), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: ahClientRxMICFailures.setStatus('current') ahClientTxDataFrames = MibTableColumn((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 2, 1, 23), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: ahClientTxDataFrames.setStatus('current') ahClientTxMgtFrames = MibTableColumn((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 2, 1, 24), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: ahClientTxMgtFrames.setStatus('current') ahClientTxDataOctets = MibTableColumn((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 2, 1, 25), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: ahClientTxDataOctets.setStatus('current') ahClientTxUnicastFrames = MibTableColumn((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 2, 1, 26), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: ahClientTxUnicastFrames.setStatus('current') ahClientTxMulticastFrames = MibTableColumn((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 2, 1, 27), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: ahClientTxMulticastFrames.setStatus('current') ahClientTxBroadcastFrames = MibTableColumn((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 2, 1, 28), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: ahClientTxBroadcastFrames.setStatus('current') ahClientLastRxRate = MibTableColumn((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 2, 1, 29), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: ahClientLastRxRate.setStatus('current') ahClientTxBeDataFrames = MibTableColumn((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 2, 1, 30), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: ahClientTxBeDataFrames.setStatus('current') ahClientTxBgDataFrames = MibTableColumn((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 2, 1, 31), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: ahClientTxBgDataFrames.setStatus('current') ahClientTxViDataFrames = MibTableColumn((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 2, 1, 32), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: ahClientTxViDataFrames.setStatus('current') ahClientTxVoDataFrames = MibTableColumn((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 2, 1, 33), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: ahClientTxVoDataFrames.setStatus('current') ahClientTxAirtime = MibTableColumn((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 2, 1, 34), Counter64()).setMaxAccess("readonly") if mibBuilder.loadTexts: ahClientTxAirtime.setStatus('current') ahClientRxAirtime = MibTableColumn((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 2, 1, 35), Counter64()).setMaxAccess("readonly") if mibBuilder.loadTexts: ahClientRxAirtime.setStatus('current') ahClientAssociationTime = MibTableColumn((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 2, 1, 36), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: ahClientAssociationTime.setStatus('current') ahClientBSSID = MibTableColumn((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 2, 1, 37), AhNodeID()).setMaxAccess("readonly") if mibBuilder.loadTexts: ahClientBSSID.setStatus('current') ahRadioStatsTable = MibTable((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 3), ) if mibBuilder.loadTexts: ahRadioStatsTable.setStatus('current') ahRadioStatsEntry = MibTableRow((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 3, 1), ).setIndexNames((0, "IF-MIB", "ifIndex")) if mibBuilder.loadTexts: ahRadioStatsEntry.setStatus('current') ahRadioTxDataFrames = MibTableColumn((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 3, 1, 1), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: ahRadioTxDataFrames.setStatus('current') ahRadioTxUnicastDataFrames = MibTableColumn((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 3, 1, 2), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: ahRadioTxUnicastDataFrames.setStatus('current') ahRadioTxMulticastDataFrames = MibTableColumn((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 3, 1, 3), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: ahRadioTxMulticastDataFrames.setStatus('current') ahRadioTxBroadcastDataFrames = MibTableColumn((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 3, 1, 4), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: ahRadioTxBroadcastDataFrames.setStatus('current') ahRadioTxNonBeaconMgtFrames = MibTableColumn((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 3, 1, 5), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: ahRadioTxNonBeaconMgtFrames.setStatus('current') ahRadioTxBeaconFrames = MibTableColumn((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 3, 1, 6), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: ahRadioTxBeaconFrames.setStatus('current') ahRadioTxTotalRetries = MibTableColumn((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 3, 1, 7), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: ahRadioTxTotalRetries.setStatus('current') ahRadioTxTotalFramesDropped = MibTableColumn((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 3, 1, 8), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: ahRadioTxTotalFramesDropped.setStatus('current') ahRadioTxTotalFrameErrors = MibTableColumn((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 3, 1, 9), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: ahRadioTxTotalFrameErrors.setStatus('current') ahRadioTxFEForExcessiveHWRetries = MibTableColumn((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 3, 1, 10), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: ahRadioTxFEForExcessiveHWRetries.setStatus('current') ahRadioRxTotalDataFrames = MibTableColumn((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 3, 1, 11), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: ahRadioRxTotalDataFrames.setStatus('current') ahRadioRxUnicastDataFrames = MibTableColumn((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 3, 1, 12), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: ahRadioRxUnicastDataFrames.setStatus('current') ahRadioRxMulticastDataFrames = MibTableColumn((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 3, 1, 13), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: ahRadioRxMulticastDataFrames.setStatus('current') ahRadioRxBroadcastDataFrames = MibTableColumn((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 3, 1, 14), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: ahRadioRxBroadcastDataFrames.setStatus('current') ahRadioRxMgtFrames = MibTableColumn((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 3, 1, 15), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: ahRadioRxMgtFrames.setStatus('current') ahRadioRxTotalFrameDropped = MibTableColumn((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 3, 1, 16), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: ahRadioRxTotalFrameDropped.setStatus('current') ahRadioTxBeDataFrames = MibTableColumn((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 3, 1, 17), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: ahRadioTxBeDataFrames.setStatus('current') ahRadioTxBgDataFrames = MibTableColumn((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 3, 1, 18), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: ahRadioTxBgDataFrames.setStatus('current') ahRadioTxViDataFrames = MibTableColumn((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 3, 1, 19), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: ahRadioTxViDataFrames.setStatus('current') ahRadioTxVoDataFrames = MibTableColumn((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 3, 1, 20), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: ahRadioTxVoDataFrames.setStatus('current') ahRadioTXRTSFailures = MibTableColumn((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 3, 1, 21), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: ahRadioTXRTSFailures.setStatus('current') ahRadioTxAirtime = MibTableColumn((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 3, 1, 22), Counter64()).setMaxAccess("readonly") if mibBuilder.loadTexts: ahRadioTxAirtime.setStatus('current') ahRadioRxAirtime = MibTableColumn((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 3, 1, 23), Counter64()).setMaxAccess("readonly") if mibBuilder.loadTexts: ahRadioRxAirtime.setStatus('current') ahVIfStatsTable = MibTable((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 4), ) if mibBuilder.loadTexts: ahVIfStatsTable.setStatus('current') ahVIfStatsEntry = MibTableRow((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 4, 1), ).setIndexNames((0, "IF-MIB", "ifIndex")) if mibBuilder.loadTexts: ahVIfStatsEntry.setStatus('current') ahVIfRxDataFrames = MibTableColumn((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 4, 1, 1), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: ahVIfRxDataFrames.setStatus('current') ahVIfRxUnicastDataFrames = MibTableColumn((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 4, 1, 2), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: ahVIfRxUnicastDataFrames.setStatus('current') ahVIfRxMulticastDataFrames = MibTableColumn((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 4, 1, 3), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: ahVIfRxMulticastDataFrames.setStatus('current') ahVIfRxBroadcastDataFrames = MibTableColumn((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 4, 1, 4), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: ahVIfRxBroadcastDataFrames.setStatus('current') ahVIfRxErrorFrames = MibTableColumn((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 4, 1, 5), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: ahVIfRxErrorFrames.setStatus('current') ahVIfRxDroppedFrames = MibTableColumn((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 4, 1, 6), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: ahVIfRxDroppedFrames.setStatus('current') ahVIfTxDataFrames = MibTableColumn((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 4, 1, 7), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: ahVIfTxDataFrames.setStatus('current') ahVIfTxUnicastDataFrames = MibTableColumn((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 4, 1, 8), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: ahVIfTxUnicastDataFrames.setStatus('current') ahVIfTxMulticastDataFrames = MibTableColumn((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 4, 1, 9), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: ahVIfTxMulticastDataFrames.setStatus('current') ahVIfTxBroadcastDataFrames = MibTableColumn((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 4, 1, 10), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: ahVIfTxBroadcastDataFrames.setStatus('current') ahVIfTxErrorFrames = MibTableColumn((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 4, 1, 11), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: ahVIfTxErrorFrames.setStatus('current') ahVIfTxDroppedFrames = MibTableColumn((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 4, 1, 12), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: ahVIfTxDroppedFrames.setStatus('current') ahVIfTxBeDataFrames = MibTableColumn((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 4, 1, 13), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: ahVIfTxBeDataFrames.setStatus('current') ahVIfTxBgDataFrames = MibTableColumn((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 4, 1, 14), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: ahVIfTxBgDataFrames.setStatus('current') ahVIfTxViDataFrames = MibTableColumn((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 4, 1, 15), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: ahVIfTxViDataFrames.setStatus('current') ahVIfTxVoDataFrames = MibTableColumn((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 4, 1, 16), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: ahVIfTxVoDataFrames.setStatus('current') ahVifTxAirtime = MibTableColumn((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 4, 1, 17), Counter64()).setMaxAccess("readonly") if mibBuilder.loadTexts: ahVifTxAirtime.setStatus('current') ahVifRxAirtime = MibTableColumn((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 4, 1, 18), Counter64()).setMaxAccess("readonly") if mibBuilder.loadTexts: ahVifRxAirtime.setStatus('current') ahRadioAttributeTable = MibTable((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 5), ) if mibBuilder.loadTexts: ahRadioAttributeTable.setStatus('current') ahRadioAttributeEntry = MibTableRow((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 5, 1), ).setIndexNames((0, "IF-MIB", "ifIndex")) if mibBuilder.loadTexts: ahRadioAttributeEntry.setStatus('current') ahRadioChannel = MibTableColumn((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 5, 1, 1), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: ahRadioChannel.setStatus('current') ahRadioTxPower = MibTableColumn((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 5, 1, 2), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: ahRadioTxPower.setStatus('current') ahRadioNoiseFloor = MibTableColumn((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 5, 1, 3), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: ahRadioNoiseFloor.setStatus('current') mibBuilder.exportSymbols("AH-INTERFACE-MIB", ahClientEncryptionMethod=ahClientEncryptionMethod, ahClientUsername=ahClientUsername, ahAssociationTable=ahAssociationTable, AhEncrytionMethod=AhEncrytionMethod, ahVIfTxBroadcastDataFrames=ahVIfTxBroadcastDataFrames, ahVIfRxUnicastDataFrames=ahVIfRxUnicastDataFrames, ahRadioTXRTSFailures=ahRadioTXRTSFailures, ahRadioRxTotalDataFrames=ahRadioRxTotalDataFrames, ahXIfEntry=ahXIfEntry, ahRadioRxMgtFrames=ahRadioRxMgtFrames, ahClientRxMICFailures=ahClientRxMICFailures, ahRadioTxUnicastDataFrames=ahRadioTxUnicastDataFrames, ahClientTxMgtFrames=ahClientTxMgtFrames, ahRadioTxPower=ahRadioTxPower, ahVIfTxVoDataFrames=ahVIfTxVoDataFrames, ahRadioTxBroadcastDataFrames=ahRadioTxBroadcastDataFrames, ahClientRxDataFrames=ahClientRxDataFrames, ahRadioChannel=ahRadioChannel, ahRadioTxTotalFramesDropped=ahRadioTxTotalFramesDropped, ahAssociationEntry=ahAssociationEntry, ahIfName=ahIfName, ahRadioTxViDataFrames=ahRadioTxViDataFrames, ahRadioTxTotalFrameErrors=ahRadioTxTotalFrameErrors, ahVIfTxBgDataFrames=ahVIfTxBgDataFrames, ahClientHostname=ahClientHostname, ahRadioRxTotalFrameDropped=ahRadioRxTotalFrameDropped, ahClientTxBgDataFrames=ahClientTxBgDataFrames, ahClientMACProtocol=ahClientMACProtocol, ahClientTxDataOctets=ahClientTxDataOctets, ahClientVLAN=ahClientVLAN, ahClientRSSI=ahClientRSSI, ahXIfTable=ahXIfTable, ahSSIDName=ahSSIDName, ahClientIP=ahClientIP, ahVIfTxViDataFrames=ahVIfTxViDataFrames, ahRadioTxBeDataFrames=ahRadioTxBeDataFrames, ahRadioRxAirtime=ahRadioRxAirtime, ahRadioNoiseFloor=ahRadioNoiseFloor, ahClientAssociationTime=ahClientAssociationTime, ahVIfTxErrorFrames=ahVIfTxErrorFrames, ahIfMode=ahIfMode, ahRadioStatsTable=ahRadioStatsTable, ahRadioTxTotalRetries=ahRadioTxTotalRetries, ahClientRxAirtime=ahClientRxAirtime, ahClientRxBroadcastFrames=ahClientRxBroadcastFrames, ahClientTxBroadcastFrames=ahClientTxBroadcastFrames, ahRadioTxDataFrames=ahRadioTxDataFrames, ahVifTxAirtime=ahVifTxAirtime, ahClientTxDataFrames=ahClientTxDataFrames, ahRadioTxMulticastDataFrames=ahRadioTxMulticastDataFrames, ahVIfRxErrorFrames=ahVIfRxErrorFrames, ahClientChannel=ahClientChannel, ahClientRxMulticastFrames=ahClientRxMulticastFrames, ahClientLastRxRate=ahClientLastRxRate, ahIfType=ahIfType, ahVIfTxUnicastDataFrames=ahVIfTxUnicastDataFrames, ahVIfTxBeDataFrames=ahVIfTxBeDataFrames, ahRadioStatsEntry=ahRadioStatsEntry, ahRadioTxVoDataFrames=ahRadioTxVoDataFrames, ahClientLastTxRate=ahClientLastTxRate, ahRadioAttributeTable=ahRadioAttributeTable, AhAuthenticationMethod=AhAuthenticationMethod, ahClientRxMgtFrames=ahClientRxMgtFrames, PYSNMP_MODULE_ID=ahInterface, ahRadioTxBeaconFrames=ahRadioTxBeaconFrames, ahVIfRxDataFrames=ahVIfRxDataFrames, ahClientUserProfId=ahClientUserProfId, ahVifRxAirtime=ahVifRxAirtime, ahClientLinkUptime=ahClientLinkUptime, ahClientTxBeDataFrames=ahClientTxBeDataFrames, ahVIfTxDataFrames=ahVIfTxDataFrames, ahClientMac=ahClientMac, ahVIfRxBroadcastDataFrames=ahVIfRxBroadcastDataFrames, ahIfPromiscuous=ahIfPromiscuous, ahClientTxUnicastFrames=ahClientTxUnicastFrames, ahRadioRxUnicastDataFrames=ahRadioRxUnicastDataFrames, ahRadioRxMulticastDataFrames=ahRadioRxMulticastDataFrames, ahClientSSID=ahClientSSID, ahClientTxAirtime=ahClientTxAirtime, ahVIfTxMulticastDataFrames=ahVIfTxMulticastDataFrames, ahClientCWPUsed=ahClientCWPUsed, ahClientAuthMethod=ahClientAuthMethod, ahRadioAttributeEntry=ahRadioAttributeEntry, ahVIfTxDroppedFrames=ahVIfTxDroppedFrames, ahRadioTxNonBeaconMgtFrames=ahRadioTxNonBeaconMgtFrames, ahVIfStatsTable=ahVIfStatsTable, ahRadioTxAirtime=ahRadioTxAirtime, ahRadioTxBgDataFrames=ahRadioTxBgDataFrames, ahRadioTxFEForExcessiveHWRetries=ahRadioTxFEForExcessiveHWRetries, ahVIfStatsEntry=ahVIfStatsEntry, ahClientTxViDataFrames=ahClientTxViDataFrames, ahVIfRxMulticastDataFrames=ahVIfRxMulticastDataFrames, ahClientBSSID=ahClientBSSID, ahClientTxMulticastFrames=ahClientTxMulticastFrames, ahVIfRxDroppedFrames=ahVIfRxDroppedFrames, ahRadioRxBroadcastDataFrames=ahRadioRxBroadcastDataFrames, ahClientRxUnicastFrames=ahClientRxUnicastFrames, ahClientTxVoDataFrames=ahClientTxVoDataFrames, ahClientRxDataOctets=ahClientRxDataOctets, ahIfConfMode=ahIfConfMode, ahInterface=ahInterface)
(ah_string, ah_node_id, ah_ap_interface, ah_mac_protocol, ah_interface_type, ah_interface_mode) = mibBuilder.importSymbols('AH-SMI-MIB', 'AhString', 'AhNodeID', 'ahAPInterface', 'AhMACProtocol', 'AhInterfaceType', 'AhInterfaceMode') (object_identifier, integer, octet_string) = mibBuilder.importSymbols('ASN1', 'ObjectIdentifier', 'Integer', 'OctetString') (named_values,) = mibBuilder.importSymbols('ASN1-ENUMERATION', 'NamedValues') (constraints_intersection, constraints_union, single_value_constraint, value_size_constraint, value_range_constraint) = mibBuilder.importSymbols('ASN1-REFINEMENT', 'ConstraintsIntersection', 'ConstraintsUnion', 'SingleValueConstraint', 'ValueSizeConstraint', 'ValueRangeConstraint') (if_entry, if_index) = mibBuilder.importSymbols('IF-MIB', 'ifEntry', 'ifIndex') (module_compliance, notification_group) = mibBuilder.importSymbols('SNMPv2-CONF', 'ModuleCompliance', 'NotificationGroup') (ip_address, counter32, notification_type, module_identity, gauge32, object_identity, unsigned32, time_ticks, bits, counter64, iso, mib_identifier, integer32, mib_scalar, mib_table, mib_table_row, mib_table_column) = mibBuilder.importSymbols('SNMPv2-SMI', 'IpAddress', 'Counter32', 'NotificationType', 'ModuleIdentity', 'Gauge32', 'ObjectIdentity', 'Unsigned32', 'TimeTicks', 'Bits', 'Counter64', 'iso', 'MibIdentifier', 'Integer32', 'MibScalar', 'MibTable', 'MibTableRow', 'MibTableColumn') (textual_convention, display_string, truth_value) = mibBuilder.importSymbols('SNMPv2-TC', 'TextualConvention', 'DisplayString', 'TruthValue') ah_interface = module_identity((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1)) if mibBuilder.loadTexts: ahInterface.setLastUpdated('200806160000Z') if mibBuilder.loadTexts: ahInterface.setOrganization('Aerohive Networks, Inc') class Ahauthenticationmethod(TextualConvention, Integer32): status = 'current' subtype_spec = Integer32.subtypeSpec + constraints_union(single_value_constraint(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10)) named_values = named_values(('cwp', 0), ('open', 1), ('wep-open', 2), ('wep-shared', 3), ('wpa-psk', 4), ('wpa2-psk', 5), ('wpa-8021x', 6), ('wpa2-8021X', 7), ('wpa-auto-psk', 8), ('wpa-auto-8021x', 9), ('dynamic-wep', 10)) class Ahencrytionmethod(TextualConvention, Integer32): status = 'current' subtype_spec = Integer32.subtypeSpec + constraints_union(single_value_constraint(0, 1, 2, 3)) named_values = named_values(('AES', 0), ('TKIP', 1), ('WEP', 2), ('Non', 3)) ah_x_if_table = mib_table((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 1)) if mibBuilder.loadTexts: ahXIfTable.setStatus('current') ah_x_if_entry = mib_table_row((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 1, 1)) ifEntry.registerAugmentions(('AH-INTERFACE-MIB', 'ahXIfEntry')) ahXIfEntry.setIndexNames(*ifEntry.getIndexNames()) if mibBuilder.loadTexts: ahXIfEntry.setStatus('current') ah_if_name = mib_table_column((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 1, 1, 1), ah_string()).setMaxAccess('readonly') if mibBuilder.loadTexts: ahIfName.setStatus('current') ah_ssid_name = mib_table_column((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 1, 1, 2), ah_string()).setMaxAccess('readonly') if mibBuilder.loadTexts: ahSSIDName.setStatus('current') ah_if_promiscuous = mib_table_column((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 1, 1, 3), truth_value()).setMaxAccess('readonly') if mibBuilder.loadTexts: ahIfPromiscuous.setStatus('current') ah_if_type = mib_table_column((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 1, 1, 4), ah_interface_type()).setMaxAccess('readonly') if mibBuilder.loadTexts: ahIfType.setStatus('current') ah_if_mode = mib_table_column((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 1, 1, 5), ah_interface_mode()).setMaxAccess('readonly') if mibBuilder.loadTexts: ahIfMode.setStatus('current') ah_if_conf_mode = mib_table_column((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 1, 1, 6), ah_interface_mode()).setMaxAccess('readonly') if mibBuilder.loadTexts: ahIfConfMode.setStatus('current') ah_association_table = mib_table((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 2)) if mibBuilder.loadTexts: ahAssociationTable.setStatus('current') ah_association_entry = mib_table_row((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 2, 1)).setIndexNames((0, 'IF-MIB', 'ifIndex'), (0, 'AH-INTERFACE-MIB', 'ahClientMac')) if mibBuilder.loadTexts: ahAssociationEntry.setStatus('current') ah_client_mac = mib_table_column((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 2, 1, 1), ah_node_id()).setMaxAccess('readonly') if mibBuilder.loadTexts: ahClientMac.setStatus('current') ah_client_ip = mib_table_column((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 2, 1, 2), ip_address()).setMaxAccess('readonly') if mibBuilder.loadTexts: ahClientIP.setStatus('current') ah_client_hostname = mib_table_column((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 2, 1, 3), ah_string()).setMaxAccess('readonly') if mibBuilder.loadTexts: ahClientHostname.setStatus('current') ah_client_rssi = mib_table_column((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 2, 1, 4), integer32()).setMaxAccess('readonly') if mibBuilder.loadTexts: ahClientRSSI.setStatus('current') ah_client_link_uptime = mib_table_column((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 2, 1, 5), counter32()).setMaxAccess('readonly') if mibBuilder.loadTexts: ahClientLinkUptime.setStatus('current') ah_client_cwp_used = mib_table_column((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 2, 1, 6), truth_value()).setMaxAccess('readonly') if mibBuilder.loadTexts: ahClientCWPUsed.setStatus('current') ah_client_auth_method = mib_table_column((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 2, 1, 7), ah_authentication_method()).setMaxAccess('readonly') if mibBuilder.loadTexts: ahClientAuthMethod.setStatus('current') ah_client_encryption_method = mib_table_column((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 2, 1, 8), ah_encrytion_method()).setMaxAccess('readonly') if mibBuilder.loadTexts: ahClientEncryptionMethod.setStatus('current') ah_client_mac_protocol = mib_table_column((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 2, 1, 9), ah_mac_protocol()).setMaxAccess('readonly') if mibBuilder.loadTexts: ahClientMACProtocol.setStatus('current') ah_client_ssid = mib_table_column((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 2, 1, 10), ah_string()).setMaxAccess('readonly') if mibBuilder.loadTexts: ahClientSSID.setStatus('current') ah_client_vlan = mib_table_column((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 2, 1, 11), integer32()).setMaxAccess('readonly') if mibBuilder.loadTexts: ahClientVLAN.setStatus('current') ah_client_user_prof_id = mib_table_column((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 2, 1, 12), integer32()).setMaxAccess('readonly') if mibBuilder.loadTexts: ahClientUserProfId.setStatus('current') ah_client_channel = mib_table_column((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 2, 1, 13), integer32()).setMaxAccess('readonly') if mibBuilder.loadTexts: ahClientChannel.setStatus('current') ah_client_last_tx_rate = mib_table_column((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 2, 1, 14), integer32()).setMaxAccess('readonly') if mibBuilder.loadTexts: ahClientLastTxRate.setStatus('current') ah_client_username = mib_table_column((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 2, 1, 15), ah_string()).setMaxAccess('readonly') if mibBuilder.loadTexts: ahClientUsername.setStatus('current') ah_client_rx_data_frames = mib_table_column((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 2, 1, 16), counter32()).setMaxAccess('readonly') if mibBuilder.loadTexts: ahClientRxDataFrames.setStatus('current') ah_client_rx_data_octets = mib_table_column((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 2, 1, 17), counter32()).setMaxAccess('readonly') if mibBuilder.loadTexts: ahClientRxDataOctets.setStatus('current') ah_client_rx_mgt_frames = mib_table_column((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 2, 1, 18), counter32()).setMaxAccess('readonly') if mibBuilder.loadTexts: ahClientRxMgtFrames.setStatus('current') ah_client_rx_unicast_frames = mib_table_column((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 2, 1, 19), counter32()).setMaxAccess('readonly') if mibBuilder.loadTexts: ahClientRxUnicastFrames.setStatus('current') ah_client_rx_multicast_frames = mib_scalar((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 2, 1, 20), counter32()).setMaxAccess('readonly') if mibBuilder.loadTexts: ahClientRxMulticastFrames.setStatus('current') ah_client_rx_broadcast_frames = mib_scalar((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 2, 1, 21), counter32()).setMaxAccess('readonly') if mibBuilder.loadTexts: ahClientRxBroadcastFrames.setStatus('current') ah_client_rx_mic_failures = mib_table_column((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 2, 1, 22), counter32()).setMaxAccess('readonly') if mibBuilder.loadTexts: ahClientRxMICFailures.setStatus('current') ah_client_tx_data_frames = mib_table_column((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 2, 1, 23), counter32()).setMaxAccess('readonly') if mibBuilder.loadTexts: ahClientTxDataFrames.setStatus('current') ah_client_tx_mgt_frames = mib_table_column((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 2, 1, 24), counter32()).setMaxAccess('readonly') if mibBuilder.loadTexts: ahClientTxMgtFrames.setStatus('current') ah_client_tx_data_octets = mib_table_column((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 2, 1, 25), counter32()).setMaxAccess('readonly') if mibBuilder.loadTexts: ahClientTxDataOctets.setStatus('current') ah_client_tx_unicast_frames = mib_table_column((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 2, 1, 26), counter32()).setMaxAccess('readonly') if mibBuilder.loadTexts: ahClientTxUnicastFrames.setStatus('current') ah_client_tx_multicast_frames = mib_table_column((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 2, 1, 27), counter32()).setMaxAccess('readonly') if mibBuilder.loadTexts: ahClientTxMulticastFrames.setStatus('current') ah_client_tx_broadcast_frames = mib_table_column((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 2, 1, 28), counter32()).setMaxAccess('readonly') if mibBuilder.loadTexts: ahClientTxBroadcastFrames.setStatus('current') ah_client_last_rx_rate = mib_table_column((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 2, 1, 29), integer32()).setMaxAccess('readonly') if mibBuilder.loadTexts: ahClientLastRxRate.setStatus('current') ah_client_tx_be_data_frames = mib_table_column((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 2, 1, 30), counter32()).setMaxAccess('readonly') if mibBuilder.loadTexts: ahClientTxBeDataFrames.setStatus('current') ah_client_tx_bg_data_frames = mib_table_column((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 2, 1, 31), counter32()).setMaxAccess('readonly') if mibBuilder.loadTexts: ahClientTxBgDataFrames.setStatus('current') ah_client_tx_vi_data_frames = mib_table_column((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 2, 1, 32), counter32()).setMaxAccess('readonly') if mibBuilder.loadTexts: ahClientTxViDataFrames.setStatus('current') ah_client_tx_vo_data_frames = mib_table_column((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 2, 1, 33), counter32()).setMaxAccess('readonly') if mibBuilder.loadTexts: ahClientTxVoDataFrames.setStatus('current') ah_client_tx_airtime = mib_table_column((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 2, 1, 34), counter64()).setMaxAccess('readonly') if mibBuilder.loadTexts: ahClientTxAirtime.setStatus('current') ah_client_rx_airtime = mib_table_column((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 2, 1, 35), counter64()).setMaxAccess('readonly') if mibBuilder.loadTexts: ahClientRxAirtime.setStatus('current') ah_client_association_time = mib_table_column((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 2, 1, 36), counter32()).setMaxAccess('readonly') if mibBuilder.loadTexts: ahClientAssociationTime.setStatus('current') ah_client_bssid = mib_table_column((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 2, 1, 37), ah_node_id()).setMaxAccess('readonly') if mibBuilder.loadTexts: ahClientBSSID.setStatus('current') ah_radio_stats_table = mib_table((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 3)) if mibBuilder.loadTexts: ahRadioStatsTable.setStatus('current') ah_radio_stats_entry = mib_table_row((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 3, 1)).setIndexNames((0, 'IF-MIB', 'ifIndex')) if mibBuilder.loadTexts: ahRadioStatsEntry.setStatus('current') ah_radio_tx_data_frames = mib_table_column((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 3, 1, 1), counter32()).setMaxAccess('readonly') if mibBuilder.loadTexts: ahRadioTxDataFrames.setStatus('current') ah_radio_tx_unicast_data_frames = mib_table_column((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 3, 1, 2), counter32()).setMaxAccess('readonly') if mibBuilder.loadTexts: ahRadioTxUnicastDataFrames.setStatus('current') ah_radio_tx_multicast_data_frames = mib_table_column((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 3, 1, 3), counter32()).setMaxAccess('readonly') if mibBuilder.loadTexts: ahRadioTxMulticastDataFrames.setStatus('current') ah_radio_tx_broadcast_data_frames = mib_table_column((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 3, 1, 4), counter32()).setMaxAccess('readonly') if mibBuilder.loadTexts: ahRadioTxBroadcastDataFrames.setStatus('current') ah_radio_tx_non_beacon_mgt_frames = mib_table_column((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 3, 1, 5), counter32()).setMaxAccess('readonly') if mibBuilder.loadTexts: ahRadioTxNonBeaconMgtFrames.setStatus('current') ah_radio_tx_beacon_frames = mib_table_column((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 3, 1, 6), counter32()).setMaxAccess('readonly') if mibBuilder.loadTexts: ahRadioTxBeaconFrames.setStatus('current') ah_radio_tx_total_retries = mib_table_column((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 3, 1, 7), counter32()).setMaxAccess('readonly') if mibBuilder.loadTexts: ahRadioTxTotalRetries.setStatus('current') ah_radio_tx_total_frames_dropped = mib_table_column((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 3, 1, 8), counter32()).setMaxAccess('readonly') if mibBuilder.loadTexts: ahRadioTxTotalFramesDropped.setStatus('current') ah_radio_tx_total_frame_errors = mib_table_column((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 3, 1, 9), counter32()).setMaxAccess('readonly') if mibBuilder.loadTexts: ahRadioTxTotalFrameErrors.setStatus('current') ah_radio_tx_fe_for_excessive_hw_retries = mib_table_column((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 3, 1, 10), counter32()).setMaxAccess('readonly') if mibBuilder.loadTexts: ahRadioTxFEForExcessiveHWRetries.setStatus('current') ah_radio_rx_total_data_frames = mib_table_column((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 3, 1, 11), counter32()).setMaxAccess('readonly') if mibBuilder.loadTexts: ahRadioRxTotalDataFrames.setStatus('current') ah_radio_rx_unicast_data_frames = mib_table_column((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 3, 1, 12), counter32()).setMaxAccess('readonly') if mibBuilder.loadTexts: ahRadioRxUnicastDataFrames.setStatus('current') ah_radio_rx_multicast_data_frames = mib_table_column((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 3, 1, 13), counter32()).setMaxAccess('readonly') if mibBuilder.loadTexts: ahRadioRxMulticastDataFrames.setStatus('current') ah_radio_rx_broadcast_data_frames = mib_table_column((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 3, 1, 14), counter32()).setMaxAccess('readonly') if mibBuilder.loadTexts: ahRadioRxBroadcastDataFrames.setStatus('current') ah_radio_rx_mgt_frames = mib_table_column((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 3, 1, 15), counter32()).setMaxAccess('readonly') if mibBuilder.loadTexts: ahRadioRxMgtFrames.setStatus('current') ah_radio_rx_total_frame_dropped = mib_table_column((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 3, 1, 16), counter32()).setMaxAccess('readonly') if mibBuilder.loadTexts: ahRadioRxTotalFrameDropped.setStatus('current') ah_radio_tx_be_data_frames = mib_table_column((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 3, 1, 17), counter32()).setMaxAccess('readonly') if mibBuilder.loadTexts: ahRadioTxBeDataFrames.setStatus('current') ah_radio_tx_bg_data_frames = mib_table_column((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 3, 1, 18), counter32()).setMaxAccess('readonly') if mibBuilder.loadTexts: ahRadioTxBgDataFrames.setStatus('current') ah_radio_tx_vi_data_frames = mib_table_column((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 3, 1, 19), counter32()).setMaxAccess('readonly') if mibBuilder.loadTexts: ahRadioTxViDataFrames.setStatus('current') ah_radio_tx_vo_data_frames = mib_table_column((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 3, 1, 20), counter32()).setMaxAccess('readonly') if mibBuilder.loadTexts: ahRadioTxVoDataFrames.setStatus('current') ah_radio_txrts_failures = mib_table_column((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 3, 1, 21), counter32()).setMaxAccess('readonly') if mibBuilder.loadTexts: ahRadioTXRTSFailures.setStatus('current') ah_radio_tx_airtime = mib_table_column((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 3, 1, 22), counter64()).setMaxAccess('readonly') if mibBuilder.loadTexts: ahRadioTxAirtime.setStatus('current') ah_radio_rx_airtime = mib_table_column((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 3, 1, 23), counter64()).setMaxAccess('readonly') if mibBuilder.loadTexts: ahRadioRxAirtime.setStatus('current') ah_v_if_stats_table = mib_table((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 4)) if mibBuilder.loadTexts: ahVIfStatsTable.setStatus('current') ah_v_if_stats_entry = mib_table_row((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 4, 1)).setIndexNames((0, 'IF-MIB', 'ifIndex')) if mibBuilder.loadTexts: ahVIfStatsEntry.setStatus('current') ah_v_if_rx_data_frames = mib_table_column((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 4, 1, 1), counter32()).setMaxAccess('readonly') if mibBuilder.loadTexts: ahVIfRxDataFrames.setStatus('current') ah_v_if_rx_unicast_data_frames = mib_table_column((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 4, 1, 2), counter32()).setMaxAccess('readonly') if mibBuilder.loadTexts: ahVIfRxUnicastDataFrames.setStatus('current') ah_v_if_rx_multicast_data_frames = mib_table_column((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 4, 1, 3), counter32()).setMaxAccess('readonly') if mibBuilder.loadTexts: ahVIfRxMulticastDataFrames.setStatus('current') ah_v_if_rx_broadcast_data_frames = mib_table_column((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 4, 1, 4), counter32()).setMaxAccess('readonly') if mibBuilder.loadTexts: ahVIfRxBroadcastDataFrames.setStatus('current') ah_v_if_rx_error_frames = mib_table_column((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 4, 1, 5), counter32()).setMaxAccess('readonly') if mibBuilder.loadTexts: ahVIfRxErrorFrames.setStatus('current') ah_v_if_rx_dropped_frames = mib_table_column((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 4, 1, 6), counter32()).setMaxAccess('readonly') if mibBuilder.loadTexts: ahVIfRxDroppedFrames.setStatus('current') ah_v_if_tx_data_frames = mib_table_column((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 4, 1, 7), counter32()).setMaxAccess('readonly') if mibBuilder.loadTexts: ahVIfTxDataFrames.setStatus('current') ah_v_if_tx_unicast_data_frames = mib_table_column((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 4, 1, 8), counter32()).setMaxAccess('readonly') if mibBuilder.loadTexts: ahVIfTxUnicastDataFrames.setStatus('current') ah_v_if_tx_multicast_data_frames = mib_table_column((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 4, 1, 9), counter32()).setMaxAccess('readonly') if mibBuilder.loadTexts: ahVIfTxMulticastDataFrames.setStatus('current') ah_v_if_tx_broadcast_data_frames = mib_table_column((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 4, 1, 10), counter32()).setMaxAccess('readonly') if mibBuilder.loadTexts: ahVIfTxBroadcastDataFrames.setStatus('current') ah_v_if_tx_error_frames = mib_table_column((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 4, 1, 11), counter32()).setMaxAccess('readonly') if mibBuilder.loadTexts: ahVIfTxErrorFrames.setStatus('current') ah_v_if_tx_dropped_frames = mib_table_column((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 4, 1, 12), counter32()).setMaxAccess('readonly') if mibBuilder.loadTexts: ahVIfTxDroppedFrames.setStatus('current') ah_v_if_tx_be_data_frames = mib_table_column((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 4, 1, 13), counter32()).setMaxAccess('readonly') if mibBuilder.loadTexts: ahVIfTxBeDataFrames.setStatus('current') ah_v_if_tx_bg_data_frames = mib_table_column((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 4, 1, 14), counter32()).setMaxAccess('readonly') if mibBuilder.loadTexts: ahVIfTxBgDataFrames.setStatus('current') ah_v_if_tx_vi_data_frames = mib_table_column((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 4, 1, 15), counter32()).setMaxAccess('readonly') if mibBuilder.loadTexts: ahVIfTxViDataFrames.setStatus('current') ah_v_if_tx_vo_data_frames = mib_table_column((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 4, 1, 16), counter32()).setMaxAccess('readonly') if mibBuilder.loadTexts: ahVIfTxVoDataFrames.setStatus('current') ah_vif_tx_airtime = mib_table_column((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 4, 1, 17), counter64()).setMaxAccess('readonly') if mibBuilder.loadTexts: ahVifTxAirtime.setStatus('current') ah_vif_rx_airtime = mib_table_column((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 4, 1, 18), counter64()).setMaxAccess('readonly') if mibBuilder.loadTexts: ahVifRxAirtime.setStatus('current') ah_radio_attribute_table = mib_table((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 5)) if mibBuilder.loadTexts: ahRadioAttributeTable.setStatus('current') ah_radio_attribute_entry = mib_table_row((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 5, 1)).setIndexNames((0, 'IF-MIB', 'ifIndex')) if mibBuilder.loadTexts: ahRadioAttributeEntry.setStatus('current') ah_radio_channel = mib_table_column((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 5, 1, 1), integer32()).setMaxAccess('readonly') if mibBuilder.loadTexts: ahRadioChannel.setStatus('current') ah_radio_tx_power = mib_table_column((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 5, 1, 2), integer32()).setMaxAccess('readonly') if mibBuilder.loadTexts: ahRadioTxPower.setStatus('current') ah_radio_noise_floor = mib_table_column((1, 3, 6, 1, 4, 1, 26928, 1, 1, 1, 2, 1, 5, 1, 3), integer32()).setMaxAccess('readonly') if mibBuilder.loadTexts: ahRadioNoiseFloor.setStatus('current') mibBuilder.exportSymbols('AH-INTERFACE-MIB', ahClientEncryptionMethod=ahClientEncryptionMethod, ahClientUsername=ahClientUsername, ahAssociationTable=ahAssociationTable, AhEncrytionMethod=AhEncrytionMethod, ahVIfTxBroadcastDataFrames=ahVIfTxBroadcastDataFrames, ahVIfRxUnicastDataFrames=ahVIfRxUnicastDataFrames, ahRadioTXRTSFailures=ahRadioTXRTSFailures, ahRadioRxTotalDataFrames=ahRadioRxTotalDataFrames, ahXIfEntry=ahXIfEntry, ahRadioRxMgtFrames=ahRadioRxMgtFrames, ahClientRxMICFailures=ahClientRxMICFailures, ahRadioTxUnicastDataFrames=ahRadioTxUnicastDataFrames, ahClientTxMgtFrames=ahClientTxMgtFrames, ahRadioTxPower=ahRadioTxPower, ahVIfTxVoDataFrames=ahVIfTxVoDataFrames, ahRadioTxBroadcastDataFrames=ahRadioTxBroadcastDataFrames, ahClientRxDataFrames=ahClientRxDataFrames, ahRadioChannel=ahRadioChannel, ahRadioTxTotalFramesDropped=ahRadioTxTotalFramesDropped, ahAssociationEntry=ahAssociationEntry, ahIfName=ahIfName, ahRadioTxViDataFrames=ahRadioTxViDataFrames, ahRadioTxTotalFrameErrors=ahRadioTxTotalFrameErrors, ahVIfTxBgDataFrames=ahVIfTxBgDataFrames, ahClientHostname=ahClientHostname, ahRadioRxTotalFrameDropped=ahRadioRxTotalFrameDropped, ahClientTxBgDataFrames=ahClientTxBgDataFrames, ahClientMACProtocol=ahClientMACProtocol, ahClientTxDataOctets=ahClientTxDataOctets, ahClientVLAN=ahClientVLAN, ahClientRSSI=ahClientRSSI, ahXIfTable=ahXIfTable, ahSSIDName=ahSSIDName, ahClientIP=ahClientIP, ahVIfTxViDataFrames=ahVIfTxViDataFrames, ahRadioTxBeDataFrames=ahRadioTxBeDataFrames, ahRadioRxAirtime=ahRadioRxAirtime, ahRadioNoiseFloor=ahRadioNoiseFloor, ahClientAssociationTime=ahClientAssociationTime, ahVIfTxErrorFrames=ahVIfTxErrorFrames, ahIfMode=ahIfMode, ahRadioStatsTable=ahRadioStatsTable, ahRadioTxTotalRetries=ahRadioTxTotalRetries, ahClientRxAirtime=ahClientRxAirtime, ahClientRxBroadcastFrames=ahClientRxBroadcastFrames, ahClientTxBroadcastFrames=ahClientTxBroadcastFrames, ahRadioTxDataFrames=ahRadioTxDataFrames, ahVifTxAirtime=ahVifTxAirtime, ahClientTxDataFrames=ahClientTxDataFrames, ahRadioTxMulticastDataFrames=ahRadioTxMulticastDataFrames, ahVIfRxErrorFrames=ahVIfRxErrorFrames, ahClientChannel=ahClientChannel, ahClientRxMulticastFrames=ahClientRxMulticastFrames, ahClientLastRxRate=ahClientLastRxRate, ahIfType=ahIfType, ahVIfTxUnicastDataFrames=ahVIfTxUnicastDataFrames, ahVIfTxBeDataFrames=ahVIfTxBeDataFrames, ahRadioStatsEntry=ahRadioStatsEntry, ahRadioTxVoDataFrames=ahRadioTxVoDataFrames, ahClientLastTxRate=ahClientLastTxRate, ahRadioAttributeTable=ahRadioAttributeTable, AhAuthenticationMethod=AhAuthenticationMethod, ahClientRxMgtFrames=ahClientRxMgtFrames, PYSNMP_MODULE_ID=ahInterface, ahRadioTxBeaconFrames=ahRadioTxBeaconFrames, ahVIfRxDataFrames=ahVIfRxDataFrames, ahClientUserProfId=ahClientUserProfId, ahVifRxAirtime=ahVifRxAirtime, ahClientLinkUptime=ahClientLinkUptime, ahClientTxBeDataFrames=ahClientTxBeDataFrames, ahVIfTxDataFrames=ahVIfTxDataFrames, ahClientMac=ahClientMac, ahVIfRxBroadcastDataFrames=ahVIfRxBroadcastDataFrames, ahIfPromiscuous=ahIfPromiscuous, ahClientTxUnicastFrames=ahClientTxUnicastFrames, ahRadioRxUnicastDataFrames=ahRadioRxUnicastDataFrames, ahRadioRxMulticastDataFrames=ahRadioRxMulticastDataFrames, ahClientSSID=ahClientSSID, ahClientTxAirtime=ahClientTxAirtime, ahVIfTxMulticastDataFrames=ahVIfTxMulticastDataFrames, ahClientCWPUsed=ahClientCWPUsed, ahClientAuthMethod=ahClientAuthMethod, ahRadioAttributeEntry=ahRadioAttributeEntry, ahVIfTxDroppedFrames=ahVIfTxDroppedFrames, ahRadioTxNonBeaconMgtFrames=ahRadioTxNonBeaconMgtFrames, ahVIfStatsTable=ahVIfStatsTable, ahRadioTxAirtime=ahRadioTxAirtime, ahRadioTxBgDataFrames=ahRadioTxBgDataFrames, ahRadioTxFEForExcessiveHWRetries=ahRadioTxFEForExcessiveHWRetries, ahVIfStatsEntry=ahVIfStatsEntry, ahClientTxViDataFrames=ahClientTxViDataFrames, ahVIfRxMulticastDataFrames=ahVIfRxMulticastDataFrames, ahClientBSSID=ahClientBSSID, ahClientTxMulticastFrames=ahClientTxMulticastFrames, ahVIfRxDroppedFrames=ahVIfRxDroppedFrames, ahRadioRxBroadcastDataFrames=ahRadioRxBroadcastDataFrames, ahClientRxUnicastFrames=ahClientRxUnicastFrames, ahClientTxVoDataFrames=ahClientTxVoDataFrames, ahClientRxDataOctets=ahClientRxDataOctets, ahIfConfMode=ahIfConfMode, ahInterface=ahInterface)
__author__ = '@britodfbr' def quack(): m = "Quack!" print(m) return m def squeak(): m = "Squeak!" print(m) return m def mute_quack(): m = "<< silence >>" print(m) return m
__author__ = '@britodfbr' def quack(): m = 'Quack!' print(m) return m def squeak(): m = 'Squeak!' print(m) return m def mute_quack(): m = '<< silence >>' print(m) return m
if __name__ == '__main__': n = int(input()) student_marks = {} for i in range(n): name, *line = input().split() scores = list(map(float, line)) student_marks[name] = scores query_name = input() x = student_marks[query_name] # y = len(x) summ = 0 for i in range(3): summ = x[i] + summ print("{0:.2f}".format(summ/3))
if __name__ == '__main__': n = int(input()) student_marks = {} for i in range(n): (name, *line) = input().split() scores = list(map(float, line)) student_marks[name] = scores query_name = input() x = student_marks[query_name] summ = 0 for i in range(3): summ = x[i] + summ print('{0:.2f}'.format(summ / 3))
#!/usr/bin/env python # encoding: utf-8 class Solution: def intersection(self, nums1: List[int], nums2: List[int]) -> List[int]: # let's assume len(nums1) > len(nums2) if len(nums1) < len(nums2): nums1, nums2 = nums2, nums1 # build lookup table for nums1 lookup = set(nums1) ans = [] for num in nums2: if num in lookup: ans.append(num) lookup.remove(num) return ans
class Solution: def intersection(self, nums1: List[int], nums2: List[int]) -> List[int]: if len(nums1) < len(nums2): (nums1, nums2) = (nums2, nums1) lookup = set(nums1) ans = [] for num in nums2: if num in lookup: ans.append(num) lookup.remove(num) return ans
# generated from catkin/cmake/template/pkg.context.pc.in CATKIN_PACKAGE_PREFIX = "" PROJECT_PKG_CONFIG_INCLUDE_DIRS = "/home/nvidia/linorobot_ws/src/linorobot/include".split(';') if "/home/nvidia/linorobot_ws/src/linorobot/include" != "" else [] PROJECT_CATKIN_DEPENDS = "roscpp;rospy;tf2;tf2_ros;nav_msgs;lino_msgs;geometry_msgs;sensor_msgs;std_msgs".replace(';', ' ') PKG_CONFIG_LIBRARIES_WITH_PREFIX = "-llinorobot".split(';') if "-llinorobot" != "" else [] PROJECT_NAME = "linorobot" PROJECT_SPACE_DIR = "/home/nvidia/linorobot_ws/devel" PROJECT_VERSION = "1.4.1"
catkin_package_prefix = '' project_pkg_config_include_dirs = '/home/nvidia/linorobot_ws/src/linorobot/include'.split(';') if '/home/nvidia/linorobot_ws/src/linorobot/include' != '' else [] project_catkin_depends = 'roscpp;rospy;tf2;tf2_ros;nav_msgs;lino_msgs;geometry_msgs;sensor_msgs;std_msgs'.replace(';', ' ') pkg_config_libraries_with_prefix = '-llinorobot'.split(';') if '-llinorobot' != '' else [] project_name = 'linorobot' project_space_dir = '/home/nvidia/linorobot_ws/devel' project_version = '1.4.1'
class A: def __init__(self): self._x = 1 def _foo(self): print(self._x) a = A() a._f<caret>oo() print(a._x)
class A: def __init__(self): self._x = 1 def _foo(self): print(self._x) a = a() a._f < caret > oo() print(a._x)
n = int(input()) a = map(int, input().split()) c = 0 for i in a: while(i % 2 == 0 or i % 3 == 2): i -= 1 c += 1 print(c)
n = int(input()) a = map(int, input().split()) c = 0 for i in a: while i % 2 == 0 or i % 3 == 2: i -= 1 c += 1 print(c)
class Node: def __init__(self, dataval): self.dataval = dataval self.nextval = None self.preval = None class CLinkedList: def __init__(self): self.headval = None def AtBeginning(self, newdata): if self.headval == None: NewNode = Node(newdata) self.headval = NewNode else: NewNode = Node(newdata) temp = self.headval while temp.nextval is not None: if temp.nextval == self.headval: break temp = temp.nextval NewNode.preval = temp NewNode.nextval = self.headval self.headval.preval = NewNode self.headval = NewNode temp.nextval = self.headval def AtEnd(self, newdata): NewNode = Node(newdata) temp = self.headval while temp.nextval is not None: if temp.nextval == self.headval: break temp = temp.nextval temp.nextval = NewNode NewNode.preval = temp NewNode.nextval = self.headval self.headval.preval = NewNode def InBetween(self, middle_node, newdata): temp = self.headval while temp is not None: if temp.dataval == middle_node: break temp = temp.nextval else: print("Could not find node") return NewNode = Node(newdata) NewNode.nextval = temp.nextval NewNode.preval = temp temp.nextval = NewNode def removeStart(self): temp = self.headval while temp.nextval is not None: if temp.nextval == self.headval: break temp = temp.nextval temp.nextval = self.headval.nextval self.headval.nextval.preval = temp self.headval = self.headval.nextval def removeEnd(self): temp = self.headval if temp == None: return else: while temp.nextval is not None: if temp.nextval.nextval == self.headval: break temp = temp.nextval temp.nextval = self.headval self.headval.preval = temp def listprint(self): temp = self.headval if temp == None: return else: while temp.nextval is not None: print(temp.dataval) if temp.nextval == self.headval: break temp = temp.nextval def listcount(self): temp = self.headval if temp == None: return 0 count = 0 while temp.nextval is not None: count += 1 if temp.nextval == self.headval: break temp = temp.nextval return count def removeMiddle(self, removeKey): temp = self.headval while temp is not None: if temp.nextval.dataval == removeKey: break temp = temp.nextval before = temp key = self.headval while key is not None: if key.dataval == removeKey: break key = key.nextval after = key.nextval before.nextval = after after.preval = before
class Node: def __init__(self, dataval): self.dataval = dataval self.nextval = None self.preval = None class Clinkedlist: def __init__(self): self.headval = None def at_beginning(self, newdata): if self.headval == None: new_node = node(newdata) self.headval = NewNode else: new_node = node(newdata) temp = self.headval while temp.nextval is not None: if temp.nextval == self.headval: break temp = temp.nextval NewNode.preval = temp NewNode.nextval = self.headval self.headval.preval = NewNode self.headval = NewNode temp.nextval = self.headval def at_end(self, newdata): new_node = node(newdata) temp = self.headval while temp.nextval is not None: if temp.nextval == self.headval: break temp = temp.nextval temp.nextval = NewNode NewNode.preval = temp NewNode.nextval = self.headval self.headval.preval = NewNode def in_between(self, middle_node, newdata): temp = self.headval while temp is not None: if temp.dataval == middle_node: break temp = temp.nextval else: print('Could not find node') return new_node = node(newdata) NewNode.nextval = temp.nextval NewNode.preval = temp temp.nextval = NewNode def remove_start(self): temp = self.headval while temp.nextval is not None: if temp.nextval == self.headval: break temp = temp.nextval temp.nextval = self.headval.nextval self.headval.nextval.preval = temp self.headval = self.headval.nextval def remove_end(self): temp = self.headval if temp == None: return else: while temp.nextval is not None: if temp.nextval.nextval == self.headval: break temp = temp.nextval temp.nextval = self.headval self.headval.preval = temp def listprint(self): temp = self.headval if temp == None: return else: while temp.nextval is not None: print(temp.dataval) if temp.nextval == self.headval: break temp = temp.nextval def listcount(self): temp = self.headval if temp == None: return 0 count = 0 while temp.nextval is not None: count += 1 if temp.nextval == self.headval: break temp = temp.nextval return count def remove_middle(self, removeKey): temp = self.headval while temp is not None: if temp.nextval.dataval == removeKey: break temp = temp.nextval before = temp key = self.headval while key is not None: if key.dataval == removeKey: break key = key.nextval after = key.nextval before.nextval = after after.preval = before
metadata = { "sample_name": "", "group_name": "", "file_names": "", "sequencing_platform": "", "sequencing_type": "", "pre_assembled": "", "sample_type": "", "organism": "", "strain": "", "subtype": {}, "country": "", "region": "", "city": "", "zip_code": "", "longitude": "", "latitude": "", "location_note": "", "isolation_source": "", "source_note": "", "pathogenic": "", "pathogenicity_note": "", "collection_date": "", "collected_by": "", "usage_restrictions": "", "release_date": "", "email_address": "", "notes": "", "batch": "true" } default = { "mandatory": [ "sequencing_platform", "sequencing_type", "collection_date" ], "seed": { "pre_assembled": "no", "country": "unknown", "isolation_source": "unknown", "sample_type": "isolate", "organism": "", "pathogenic": "yes", "usage_restrictions": "public" } }
metadata = {'sample_name': '', 'group_name': '', 'file_names': '', 'sequencing_platform': '', 'sequencing_type': '', 'pre_assembled': '', 'sample_type': '', 'organism': '', 'strain': '', 'subtype': {}, 'country': '', 'region': '', 'city': '', 'zip_code': '', 'longitude': '', 'latitude': '', 'location_note': '', 'isolation_source': '', 'source_note': '', 'pathogenic': '', 'pathogenicity_note': '', 'collection_date': '', 'collected_by': '', 'usage_restrictions': '', 'release_date': '', 'email_address': '', 'notes': '', 'batch': 'true'} default = {'mandatory': ['sequencing_platform', 'sequencing_type', 'collection_date'], 'seed': {'pre_assembled': 'no', 'country': 'unknown', 'isolation_source': 'unknown', 'sample_type': 'isolate', 'organism': '', 'pathogenic': 'yes', 'usage_restrictions': 'public'}}
dataset_dir = './resource/dataset' datasets = [ dataset_dir + '/NFLX_dataset_SAST.py', dataset_dir + '/BVI_HD_dataset_SAST.py', dataset_dir + '/CC_HD_dataset_SAST.py', dataset_dir + '/MCL_V_dataset_SAST.py', dataset_dir + '/IVP_dataset_SAST.py', dataset_dir + '/VQEGHD3_dataset_SAST.py', # dataset_dir + '/SHVC_dataset_SAST.py' ]
dataset_dir = './resource/dataset' datasets = [dataset_dir + '/NFLX_dataset_SAST.py', dataset_dir + '/BVI_HD_dataset_SAST.py', dataset_dir + '/CC_HD_dataset_SAST.py', dataset_dir + '/MCL_V_dataset_SAST.py', dataset_dir + '/IVP_dataset_SAST.py', dataset_dir + '/VQEGHD3_dataset_SAST.py']
animals = ['Octopus', 'Squid', 'Cuttlefish', 'Nautilus'] for animal in animals: print(f"A {animal} would make a great pet!") print("These animals lack bones and also remorse for their enemies.") print("Any of these animals would make a great pet!")
animals = ['Octopus', 'Squid', 'Cuttlefish', 'Nautilus'] for animal in animals: print(f'A {animal} would make a great pet!') print('These animals lack bones and also remorse for their enemies.') print('Any of these animals would make a great pet!')
class Solution(object): def shortestToChar(self, S, C): prev = float('-inf') ans = [] for i, x in enumerate(S): if x == C: prev = i ans.append(i - prev) prev = float('inf') for i in xrange(len(S) - 1, -1, -1): if S[i] == C: prev = i ans[i] = min(ans[i], prev - i) return ans
class Solution(object): def shortest_to_char(self, S, C): prev = float('-inf') ans = [] for (i, x) in enumerate(S): if x == C: prev = i ans.append(i - prev) prev = float('inf') for i in xrange(len(S) - 1, -1, -1): if S[i] == C: prev = i ans[i] = min(ans[i], prev - i) return ans
################################################################################ # Author: Fanyang Cheng # Date: 2/23/2021 # This program asks user for five grads,gives the letter grade and calculate # average. ################################################################################ def get_valid_score(): #define get_valid_score. while True: # start the asking loop. s = float(input("Enter a score: ")) #ask for input. if s<=100 and s>=0: break #meet the need, stop asking. print("Invalid Input. Please try again.") #or give the warning. return s # return output. def calc_average(l): #define the function calc_average. And the l is a list, which would allow any amount of scores. s = sum(l) #give the sum of all scores. avg = s/len(l) #then the average. return avg # return result. def determine_grade(s): #define determine_grade. #a typical if-elif structure. if s<=100 and s>=90: return "A" elif s<90 and s>=80: return "B" elif s<80 and s>=70: return "C" elif s<70 and s>=60: return "D" else: return "F" def main(): #define main function. score = [] #define a list to store score. for i in range(5): #give five scores s = get_valid_score() lg = determine_grade(s) #find the letter grade. print("The letter grade for ",format(s,'.1f')," is ",lg,".",sep = "") # show the letter grade. score.append(s) #add the grade into score list. avg = calc_average(score) #calculate average score. print("The average score is ",format(avg,'.2f'),".",sep = "") if __name__ == "__main__": main() #run.
def get_valid_score(): while True: s = float(input('Enter a score: ')) if s <= 100 and s >= 0: break print('Invalid Input. Please try again.') return s def calc_average(l): s = sum(l) avg = s / len(l) return avg def determine_grade(s): if s <= 100 and s >= 90: return 'A' elif s < 90 and s >= 80: return 'B' elif s < 80 and s >= 70: return 'C' elif s < 70 and s >= 60: return 'D' else: return 'F' def main(): score = [] for i in range(5): s = get_valid_score() lg = determine_grade(s) print('The letter grade for ', format(s, '.1f'), ' is ', lg, '.', sep='') score.append(s) avg = calc_average(score) print('The average score is ', format(avg, '.2f'), '.', sep='') if __name__ == '__main__': main()
class Point(object): def __init__(self, x, y): self.x = x self.y = y def __repr__(self): return 'Point({}:{})'.format(self.x, self.y) def __add__(self, other): return Point(self.x + other.x, self.y + other.y) def __sub__(self, other): return Point(self.x - other.x, self.y - other.y) def __eq__(self, other): return self.x == other.x and self.y == other.y def __ne__(self, other): return not(self == other) class WordSearch(object): def __init__(self, puzzle): self.puzzle = [list(row) for row in puzzle] def search(self, word): dirs = [Point(i, j) for j in range(-1, 2) for i in range(-1, 2) if i != 0 or j != 0] points = [Point(x, y) for y in range(len(self.puzzle)) for x in range(len(self.puzzle[y])) if self.puzzle[y][x] == word[0]] for p in points: for d in dirs: _p, i = (p + d, 1) while True: try: if word[i] != self.puzzle[_p.y][_p.x]: break except IndexError: break i += 1 if i == len(word): return (p, _p) _p += d
class Point(object): def __init__(self, x, y): self.x = x self.y = y def __repr__(self): return 'Point({}:{})'.format(self.x, self.y) def __add__(self, other): return point(self.x + other.x, self.y + other.y) def __sub__(self, other): return point(self.x - other.x, self.y - other.y) def __eq__(self, other): return self.x == other.x and self.y == other.y def __ne__(self, other): return not self == other class Wordsearch(object): def __init__(self, puzzle): self.puzzle = [list(row) for row in puzzle] def search(self, word): dirs = [point(i, j) for j in range(-1, 2) for i in range(-1, 2) if i != 0 or j != 0] points = [point(x, y) for y in range(len(self.puzzle)) for x in range(len(self.puzzle[y])) if self.puzzle[y][x] == word[0]] for p in points: for d in dirs: (_p, i) = (p + d, 1) while True: try: if word[i] != self.puzzle[_p.y][_p.x]: break except IndexError: break i += 1 if i == len(word): return (p, _p) _p += d
''' Return the lowest index at which a value (second argument) should be inserted into an array (first argument) once it has been sorted. The returned value should be a number. For example, getIndexToIns([1,2,3,4], 1.5) should return 1 because it is greater than 1 (index 0), but less than 2 (index 1). Likewise, getIndexToIns([20,3,5], 19) should return 2 because once the array has been sorted it will look like [3,5,20] and 19 is less than 20 (index 2) and greater than 5 (index 1). ''' def getIndexToIns(arr, num): # Count the number or arr elements that are less than num. # That's the index where num would fit in an array sorted small to large. return sum(v<num for v in arr) getIndexToIns([40, 60], 50)
""" Return the lowest index at which a value (second argument) should be inserted into an array (first argument) once it has been sorted. The returned value should be a number. For example, getIndexToIns([1,2,3,4], 1.5) should return 1 because it is greater than 1 (index 0), but less than 2 (index 1). Likewise, getIndexToIns([20,3,5], 19) should return 2 because once the array has been sorted it will look like [3,5,20] and 19 is less than 20 (index 2) and greater than 5 (index 1). """ def get_index_to_ins(arr, num): return sum((v < num for v in arr)) get_index_to_ins([40, 60], 50)
class Solution: def intervalIntersection(self, firstList: List[List[int]], secondList: List[List[int]]) -> List[List[int]]: f_len, f = len(firstList), 0 s_len, s = len(secondList), 0 ans = [] while f < f_len and s < s_len: low = max( firstList[f][0], secondList[s][0] ) hight = min( firstList[f][1], secondList[s][1] ) if low <= hight: ans.append( [low, hight] ) if firstList[f][1] < secondList[s][1]: f += 1 else: s += 1 return ans
class Solution: def interval_intersection(self, firstList: List[List[int]], secondList: List[List[int]]) -> List[List[int]]: (f_len, f) = (len(firstList), 0) (s_len, s) = (len(secondList), 0) ans = [] while f < f_len and s < s_len: low = max(firstList[f][0], secondList[s][0]) hight = min(firstList[f][1], secondList[s][1]) if low <= hight: ans.append([low, hight]) if firstList[f][1] < secondList[s][1]: f += 1 else: s += 1 return ans
# Copyright (c) 2018, Oracle and/or its affiliates. All rights reserved. # DO NOT ALTER OR REMOVE COPYRIGHT NOTICES OR THIS FILE HEADER. # # The Universal Permissive License (UPL), Version 1.0 # # Subject to the condition set forth below, permission is hereby granted to any # person obtaining a copy of this software, associated documentation and/or # data (collectively the "Software"), free of charge and under any and all # copyright rights in the Software, and any and all patent rights owned or # freely licensable by each licensor hereunder covering either (i) the # unmodified Software as contributed to or provided by such licensor, or (ii) # the Larger Works (as defined below), to deal in both # # (a) the Software, and # # (b) any piece of software and/or hardware listed in the lrgrwrks.txt file if # one is included with the Software each a "Larger Work" to which the Software # is contributed by such licensors), # # without restriction, including without limitation the rights to copy, create # derivative works of, display, perform, and distribute the Software and make, # use, sell, offer for sale, import, export, have made, and have sold the # Software and the Larger Work(s), and to sublicense the foregoing rights on # either these or other terms. # # This license is subject to the following condition: # # The above copyright notice and either this complete permission notice or at a # minimum a reference to the UPL must be included in all copies or substantial # portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE # SOFTWARE. def a_function(): pass def wrapper(): values = [] def my_func(arg_l, kwarg_case="empty set", kwarg_other=19): loc_1 = set(values) loc_2 = set(values) loc_3 = "set()" def inner_func(): return kwarg_other + loc_2 try: loc_1 &= kwarg_other yield loc_1 except TypeError: pass else: print("expected TypeError") return my_func def test_name(): assert a_function.__code__.co_name == "a_function" def test_filename(): assert a_function.__code__.co_filename.rpartition("/")[2] == "test_code.py" def test_firstlineno(): assert a_function.__code__.co_firstlineno == 41 def test_code_attributes(): code = wrapper().__code__ assert code.co_argcount == 3 assert code.co_kwonlyargcount == 0 assert code.co_nlocals == 6 assert code.co_stacksize >= code.co_nlocals assert code.co_flags & (1 << 5) assert not code.co_flags & (1 << 2) assert not code.co_flags & (1 << 3) # assert code.co_code # assert code.co_consts # assert set(code.co_names) == {'set', 'TypeError', 'print'} assert set(code.co_varnames) == {'arg_l', 'kwarg_case', 'kwarg_other', 'loc_1', 'loc_3', 'inner_func'} assert code.co_filename.endswith("test_code.py") assert code.co_name == "my_func" assert code.co_firstlineno == 48 # assert code.co_lnotab == b'\x00\x01\x0c\x01\x0c\x01\x06\x02\x15\x03\x03\x01\x0e\x01\r\x01\x05\x02' assert set(code.co_freevars) == {'values'} assert set(code.co_cellvars) == {'kwarg_other', 'loc_2'}
def a_function(): pass def wrapper(): values = [] def my_func(arg_l, kwarg_case='empty set', kwarg_other=19): loc_1 = set(values) loc_2 = set(values) loc_3 = 'set()' def inner_func(): return kwarg_other + loc_2 try: loc_1 &= kwarg_other yield loc_1 except TypeError: pass else: print('expected TypeError') return my_func def test_name(): assert a_function.__code__.co_name == 'a_function' def test_filename(): assert a_function.__code__.co_filename.rpartition('/')[2] == 'test_code.py' def test_firstlineno(): assert a_function.__code__.co_firstlineno == 41 def test_code_attributes(): code = wrapper().__code__ assert code.co_argcount == 3 assert code.co_kwonlyargcount == 0 assert code.co_nlocals == 6 assert code.co_stacksize >= code.co_nlocals assert code.co_flags & 1 << 5 assert not code.co_flags & 1 << 2 assert not code.co_flags & 1 << 3 assert set(code.co_varnames) == {'arg_l', 'kwarg_case', 'kwarg_other', 'loc_1', 'loc_3', 'inner_func'} assert code.co_filename.endswith('test_code.py') assert code.co_name == 'my_func' assert code.co_firstlineno == 48 assert set(code.co_freevars) == {'values'} assert set(code.co_cellvars) == {'kwarg_other', 'loc_2'}
if __name__ == "__main__": count = int(input("[>] Enter count of students: ")) students = dict() for i in range(count): name = input("[>] Enter name: ") estimation = int(input("[>] Enter estimation: ")) students[name] = estimation print(f"[+] Second minimal: {list(sorted(students.keys()))[1]}")
if __name__ == '__main__': count = int(input('[>] Enter count of students: ')) students = dict() for i in range(count): name = input('[>] Enter name: ') estimation = int(input('[>] Enter estimation: ')) students[name] = estimation print(f'[+] Second minimal: {list(sorted(students.keys()))[1]}')
# this script converts a hex byte array to hex string input = ([0x01, 0x00, 0x00, 0x00, 0x01, 0x6b, 0xff, 0x7f, 0xcd, 0x4f, 0x85, 0x65, 0xef, 0x40, 0x6d, 0xd5, 0xd6, 0x3d, 0x4f, 0xf9, 0x4f, 0x31, 0x8f, 0xe8, 0x20, 0x27, 0xfd, 0x4d, 0xc4, 0x51, 0xb0, 0x44, 0x74, 0x01, 0x9f, 0x74, 0xb4, 0x00, 0x00, 0x00, 0x00, 0x8c, 0x49, 0x30, 0x46, 0x02, 0x21, 0x00, 0xda, 0x0d, 0xc6, 0xae, 0xce, 0xfe, 0x1e, 0x06, 0xef, 0xdf, 0x05, 0x77, 0x37, 0x57, 0xde, 0xb1, 0x68, 0x82, 0x09, 0x30, 0xe3, 0xb0, 0xd0, 0x3f, 0x46, 0xf5, 0xfc, 0xf1, 0x50, 0xbf, 0x99, 0x0c, 0x02, 0x21, 0x00, 0xd2, 0x5b, 0x5c, 0x87, 0x04, 0x00, 0x76, 0xe4, 0xf2, 0x53, 0xf8, 0x26, 0x2e, 0x76, 0x3e, 0x2d, 0xd5, 0x1e, 0x7f, 0xf0, 0xbe, 0x15, 0x77, 0x27, 0xc4, 0xbc, 0x42, 0x80, 0x7f, 0x17, 0xbd, 0x39, 0x01, 0x41, 0x04, 0xe6, 0xc2, 0x6e, 0xf6, 0x7d, 0xc6, 0x10, 0xd2, 0xcd, 0x19, 0x24, 0x84, 0x78, 0x9a, 0x6c, 0xf9, 0xae, 0xa9, 0x93, 0x0b, 0x94, 0x4b, 0x7e, 0x2d, 0xb5, 0x34, 0x2b, 0x9d, 0x9e, 0x5b, 0x9f, 0xf7, 0x9a, 0xff, 0x9a, 0x2e, 0xe1, 0x97, 0x8d, 0xd7, 0xfd, 0x01, 0xdf, 0xc5, 0x22, 0xee, 0x02, 0x28, 0x3d, 0x3b, 0x06, 0xa9, 0xd0, 0x3a, 0xcf, 0x80, 0x96, 0x96, 0x8d, 0x7d, 0xbb, 0x0f, 0x91, 0x78, 0xff, 0xff, 0xff, 0xff, 0x02, 0x8b, 0xa7, 0x94, 0x0e, 0x00, 0x00, 0x00, 0x00, 0x19, 0x76, 0xa9, 0x14, 0xba, 0xde, 0xec, 0xfd, 0xef, 0x05, 0x07, 0x24, 0x7f, 0xc8, 0xf7, 0x42, 0x41, 0xd7, 0x3b, 0xc0, 0x39, 0x97, 0x2d, 0x7b, 0x88, 0xac, 0x40, 0x94, 0xa8, 0x02, 0x00, 0x00, 0x00, 0x00, 0x19, 0x76, 0xa9, 0x14, 0xc1, 0x09, 0x32, 0x48, 0x3f, 0xec, 0x93, 0xed, 0x51, 0xf5, 0xfe, 0x95, 0xe7, 0x25, 0x59, 0xf2, 0xcc, 0x70, 0x43, 0xf9, 0x88, 0xac, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00]) print (input) output = "" for item in input: itemhex = format(item, '02x') #print ("converting {} to {}". format(itemhex, item)) output = output + itemhex print (output) #print (output)
input = [1, 0, 0, 0, 1, 107, 255, 127, 205, 79, 133, 101, 239, 64, 109, 213, 214, 61, 79, 249, 79, 49, 143, 232, 32, 39, 253, 77, 196, 81, 176, 68, 116, 1, 159, 116, 180, 0, 0, 0, 0, 140, 73, 48, 70, 2, 33, 0, 218, 13, 198, 174, 206, 254, 30, 6, 239, 223, 5, 119, 55, 87, 222, 177, 104, 130, 9, 48, 227, 176, 208, 63, 70, 245, 252, 241, 80, 191, 153, 12, 2, 33, 0, 210, 91, 92, 135, 4, 0, 118, 228, 242, 83, 248, 38, 46, 118, 62, 45, 213, 30, 127, 240, 190, 21, 119, 39, 196, 188, 66, 128, 127, 23, 189, 57, 1, 65, 4, 230, 194, 110, 246, 125, 198, 16, 210, 205, 25, 36, 132, 120, 154, 108, 249, 174, 169, 147, 11, 148, 75, 126, 45, 181, 52, 43, 157, 158, 91, 159, 247, 154, 255, 154, 46, 225, 151, 141, 215, 253, 1, 223, 197, 34, 238, 2, 40, 61, 59, 6, 169, 208, 58, 207, 128, 150, 150, 141, 125, 187, 15, 145, 120, 255, 255, 255, 255, 2, 139, 167, 148, 14, 0, 0, 0, 0, 25, 118, 169, 20, 186, 222, 236, 253, 239, 5, 7, 36, 127, 200, 247, 66, 65, 215, 59, 192, 57, 151, 45, 123, 136, 172, 64, 148, 168, 2, 0, 0, 0, 0, 25, 118, 169, 20, 193, 9, 50, 72, 63, 236, 147, 237, 81, 245, 254, 149, 231, 37, 89, 242, 204, 112, 67, 249, 136, 172, 0, 0, 0, 0, 0, 0, 0] print(input) output = '' for item in input: itemhex = format(item, '02x') output = output + itemhex print(output)
# Task 04. Zoo class Zoo: def __init__(self, zoo_name): self.zoo_name = zoo_name self.mammals = [] self.fishes = [] self.birds = [] def add_animal(self, species, name): if species == "mammal": self.mammals.append(name) elif species == "fish": self.fishes.append(name) elif species == "bird": self.birds.append(name) def get_info(self, species): total_animals = len(self.mammals + self.fishes + self.birds) if species == "mammal": result = f"Mammals in {self.zoo_name}: {', '.join(self.mammals)}" elif species == "fish": result = f"Fishes in {self.zoo_name}: {', '.join(self.fishes)}" elif species == "bird": result = f"Birds in {self.zoo_name}: {', '.join(self.birds)}" return f"{result}"\ f"\nTotal animals: {total_animals}" zoo_name = input() lines = int(input()) zoo = Zoo(zoo_name) for _ in range(lines): zoo_info = input().split() zoo.add_animal(zoo_info[0], zoo_info[1]) animal_type = input() print(zoo.get_info(animal_type))
class Zoo: def __init__(self, zoo_name): self.zoo_name = zoo_name self.mammals = [] self.fishes = [] self.birds = [] def add_animal(self, species, name): if species == 'mammal': self.mammals.append(name) elif species == 'fish': self.fishes.append(name) elif species == 'bird': self.birds.append(name) def get_info(self, species): total_animals = len(self.mammals + self.fishes + self.birds) if species == 'mammal': result = f"Mammals in {self.zoo_name}: {', '.join(self.mammals)}" elif species == 'fish': result = f"Fishes in {self.zoo_name}: {', '.join(self.fishes)}" elif species == 'bird': result = f"Birds in {self.zoo_name}: {', '.join(self.birds)}" return f'{result}\nTotal animals: {total_animals}' zoo_name = input() lines = int(input()) zoo = zoo(zoo_name) for _ in range(lines): zoo_info = input().split() zoo.add_animal(zoo_info[0], zoo_info[1]) animal_type = input() print(zoo.get_info(animal_type))
class CleanupInfo: def __init__(self, num_removed=0, space_freed=0): self.num_removed = num_removed self.space_freed = space_freed def __add__(self, other): if isinstance(other, CleanupInfo): return CleanupInfo(self.num_removed + other.num_removed, self.space_freed + other.space_freed) else: return NotImplemented def __radd__(self, other): if other == 0: return self else: return NotImplemented
class Cleanupinfo: def __init__(self, num_removed=0, space_freed=0): self.num_removed = num_removed self.space_freed = space_freed def __add__(self, other): if isinstance(other, CleanupInfo): return cleanup_info(self.num_removed + other.num_removed, self.space_freed + other.space_freed) else: return NotImplemented def __radd__(self, other): if other == 0: return self else: return NotImplemented
class TrieNode(object): def __init__(self): self.children = {} self.is_word = False class Trie(object): def __init__(self): self.root = TrieNode() def insert(self,word): cur = self.root for i in word: if i not in cur.children: new = TrieNode() cur.children[i]=new cur = cur.children[i] cur.is_word = True def search(self,word): cur = self.root for i in word: if i not in cur.children: return False cur = cur.children[i] return cur.is_word class Solution: def findWords(self, board: List[List[str]], words: List[str]) -> List[str]: trie = Trie() node = trie.root for word in words: trie.insert(word) res =[] path = "" for i in range(len(board)): for j in range(len(board[0])): self.dfs(board,node,res,path,i,j) return res def dfs(self,board,node,res,path,i,j): if node.is_word: res.append(path) node.is_word = False if i <0 or i >=len(board) or j<0 or j >=len(board[0]): return temp = board[i][j] node = node.children.get(temp) if not node: return board[i][j]="#" self.dfs(board,node,res,path+temp,i+1,j) self.dfs(board,node,res,path+temp,i-1,j) self.dfs(board,node,res,path+temp,i,j+1) self.dfs(board,node,res,path+temp,i,j-1) board[i][j]=temp
class Trienode(object): def __init__(self): self.children = {} self.is_word = False class Trie(object): def __init__(self): self.root = trie_node() def insert(self, word): cur = self.root for i in word: if i not in cur.children: new = trie_node() cur.children[i] = new cur = cur.children[i] cur.is_word = True def search(self, word): cur = self.root for i in word: if i not in cur.children: return False cur = cur.children[i] return cur.is_word class Solution: def find_words(self, board: List[List[str]], words: List[str]) -> List[str]: trie = trie() node = trie.root for word in words: trie.insert(word) res = [] path = '' for i in range(len(board)): for j in range(len(board[0])): self.dfs(board, node, res, path, i, j) return res def dfs(self, board, node, res, path, i, j): if node.is_word: res.append(path) node.is_word = False if i < 0 or i >= len(board) or j < 0 or (j >= len(board[0])): return temp = board[i][j] node = node.children.get(temp) if not node: return board[i][j] = '#' self.dfs(board, node, res, path + temp, i + 1, j) self.dfs(board, node, res, path + temp, i - 1, j) self.dfs(board, node, res, path + temp, i, j + 1) self.dfs(board, node, res, path + temp, i, j - 1) board[i][j] = temp
self.description = "sysupgrade with a disabled repo" sp = pmpkg("dummy", "1.0-2") self.addpkg2db("sync", sp) lp = pmpkg("dummy", "1.0-1") self.addpkg2db("local", lp) self.args = "-Syu" self.db['sync'].option['Usage'] = ['Search'] self.addrule("PACMAN_RETCODE=0") self.addrule("PKG_VERSION=dummy|1.0-1")
self.description = 'sysupgrade with a disabled repo' sp = pmpkg('dummy', '1.0-2') self.addpkg2db('sync', sp) lp = pmpkg('dummy', '1.0-1') self.addpkg2db('local', lp) self.args = '-Syu' self.db['sync'].option['Usage'] = ['Search'] self.addrule('PACMAN_RETCODE=0') self.addrule('PKG_VERSION=dummy|1.0-1')