Python: module PianaGlobals

PianaGlobals

index
../../../../piana/code/PianaDB/PianaGlobals.py

File : PianaGlobals.py Author : R. Aragues & D. Jaeggi Creation : 2003 Contents : class that controls piana vocabularies, default values and database names for tables and columns Called from: all across piana modules ======================================================================================================= File that sets piana vocabularies, default values and database names for tables and columns

Modules

PianaGlobals
sys
utilities

Data

DBAliclusterID_col = 'DBAliclusterID'
DBAliclusteringMethod_col = 'DBAliclusteringMethod'
a_col = 'a'
array_score_col = 'array_score'
array_score_transferred_col = 'array_score_transferred'
c_col = 'c'
cathID_col = 'cathID'
cellFitnessSource_col = 'sourceDBID'
cellFitness_table = 'cellFitness'
cf_col = 'cf'
chain_col = 'chain'
cogDescription_col = 'cogDescription'
cogFunction_col = 'cogFunction'
cogID_col = 'cogID'
cogSource_col = 'sourceDBID'
cog_table = 'cog'
combined_score_col = 'combined_score'
conditions_col = 'conditions'
confidenceAssigned_col = 'confidenceAssigned'
conflictID_col = 'conflictID'
data_class_col = 'data_class'
database_score_col = 'database_score'
database_score_transferred_col = 'database_score_transferred'
description_col = 'description'
dot_edge_lenght = '1'
dot_node_font_size = '10'
dot_node_height = '0.15'
dot_node_shape = 'box'
dot_node_style = 'filled'
dot_node_width = '0.15'
dot_orientation = 'portrait'
dot_overlap = 'scale'
dot_pack = 'true'
dot_standard_node_fill_color = 'lightblue'
ecDescription_col = 'ecDescription'
ecID_col = 'ecID'
ecSource_col = 'sourceDBID'
ec_table = 'ec'
emblAccessionID_col = 'emblAccessionID'
emblAccessionSource_col = 'sourceDBID'
emblAccessionVersion_col = 'emblAccessionVersion'
emblAccession_table = 'emblAccession'
emblPIDSource_col = 'sourceDBID'
emblPIDVersion_col = 'emblPIDVersion'
emblPID_col = 'emblPID'
emblPID_table = 'emblPID'
equiv_fscore_col = 'equiv_fscore'
equiv_hscore_col = 'equiv_hscore'
equiv_nscore_col = 'equiv_nscore'
equiv_nscore_transferred_col = 'equiv_nscore_transferred'
equiv_pscore_col = 'equiv_pscore'
expansion_types = {'cog': ['cog', 'expansionsamecog'], 'ec': ['ec', 'expansionsameec'], 'interpro': ['interpro', 'expansionsameinterpro'], 'scop': ['scop', 'expansionsamescop']}
experimental_score_col = 'experimental_score'
experimental_score_transferred_col = 'experimental_score_transferred'
fa_col = 'fa'
fitnessScore_col = 'fitnessScore'
geneNameSource_col = 'sourceDBID'
geneName_col = 'geneName'
geneName_table = 'geneName'
giID_col = 'giID'
giSource_col = 'sourceDBID'
gi_table = 'gi'
goID_col = 'goID'
goSource_col = 'sourceDBID'
go_acc_col = 'acc'
go_distance2root = 'distance2root'
go_name_col = 'name'
go_parent_col = 'go_parent'
go_son_col = 'go_son'
go_table = 'go'
go_term2term_distance_col = 'distance'
go_term2term_distance_table = 'go_term2term_distance'
go_term2term_distance_term1_col = 'go_term1'
go_term2term_distance_term2_col = 'go_term2'
go_term_type_col = 'term_type'
h_col = 'h'
huge_depth = 1000
huge_distance = 1000
huge_value = 100
infra_expressed_protein = 'infra_expressed'
intdbID_col = 'intdbID'
interProDescription_col = 'interProDescription'
interProID_col = 'interProID'
interProSource_col = 'sourceDBID'
interPro_table = 'interPro'
interactionConfidence_col = 'interactionConfidence'
interactionFeatures_table = 'interactionFeatures'
interactionMethod_table = 'interactionMethod'
interactionPiana_col = 'interactionPiana'
interactionProteinSource_table = 'interactionProteinSource'
interactionScores_table = 'interactionScores'
interactionSourceDB_table = 'interactionSourceDB'
interaction_databases = ['dip', 'dip_c', 'expansion', 'expansion_c', 'mips', 'mips_c', 'hprd', 'hprd_c', 'bind', 'bind_c', 'ori', 'ori_c', 'pibase', 'pibase_c', 'posas', 'posas_c', 'string', 'string_c', 'user']
interaction_line_styles = {'extended': ['dashed'], 'normal': ['solid'], 'propagated': ['dotted']}
interaction_source_databases_colors = {'': ['black'], 'bind': ['grey'], 'bind_c': ['grey'], 'dip': ['red'], 'dip_c': ['red'], 'expansion': ['orange'], 'expansion_c': ['orange'], 'hprd': ['blue'], 'intersection': ['cyan'], 'mips': ['darkgreen'], ...}
interaction_table = 'interaction'
isComplete_col = 'isComplete'
isPrimary_col = 'isPrimary'
isSourceA_col = 'isSourceA'
isSourceB_col = 'isSourceB '
line_separators = {'html': '<br>', 'txt': '\n'}
methodID_col = 'methodID'
method_names = {'3dstruct': ['3dstruct', 'three dimensional structure', '3d structure'], 'adhesion': ['adhesion', 'interaction adhesion', 'interaction adhesion assay'], 'affinchrom': ['affinchrom', 'affinity chromatogra', 'affinity chromatografy', 'affinity chromatography', 'affinity chromatography technologies'], 'alanine': ['alanine', 'alanine scanning'], 'atomic': ['atomic', 'atomic force microsc', 'atomic force microscopy'], 'biacore': ['biacore', 'biacore sensor chip'], 'calcium': ['calcium', 'calcium mobilization', 'calcium mobilization assay'], 'chemotaxis': ['chemotaxis'], 'colocalization': ['colocalization', 'colocalization/visualisation technologies'], 'competition': ['competition', 'competition binding'], ...}
negative_fitness_value = {'dot': '', 'html': 'no', 'txt': 'no'}
negative_location_value = {'dot': '', 'html': 'no', 'txt': 'different'}
negative_root_value = {'dot': '', 'html': 'no', 'txt': 'not-root'}
negative_species_value = {'dot': '', 'html': 'no', 'txt': 'different'}
node_border_colors = {'expanded': ['blue'], 'infra_expressed': ['green'], 'normal': ['black'], 'over_expressed': ['red']}
node_fill_colors = {'keyword': ['red'], 'normal': ['lightblue'], 'root': ['yellow'], 'root_keyword': ['orange']}
organelle_col = 'organelle'
organism_col = 'organism'
over_expressed_protein = 'over_expressed'
patchResidues_col = 'patchResidues'
pdbID_col = 'pdbID'
pdbSource_col = 'sourceDBID'
pdb_chain_col = 'pdb_chain'
pdb_table = 'pdb'
pibase_databases = ['pibase_patchesDB_g05c75i0', 'pibase_patchesDB_g075c75i50', 'pibase_patchesDB_g05c75i50']
pibase_dbali_methods = ['pi_dbalig05c75i0', 'pi_dbalig075c75i50', 'pi_dbalig05c75i50']
pirAccessionID_col = 'pirAccessionID'
pirAccessionSource_col = 'sourceDBID'
pirAccession_table = 'pirAccession'
pirEntryID_col = 'pirEntryID'
pirEntrySource_col = 'sourceDBID'
pirEntry_table = 'pirEntry'
positive_fitness_value = {'dot': '', 'html': 'yes', 'txt': 'yes'}
positive_location_value = {'dot': '', 'html': 'yes', 'txt': 'same'}
positive_root_value = {'dot': '', 'html': 'yes', 'txt': 'is-root'}
positive_species_value = {'dot': '', 'html': 'yes', 'txt': 'same'}
prositeID_col = 'prositeID'
prositeSource_col = 'sourceDBID'
proteinCathSource_col = 'sourceDBID'
proteinCath_table = 'proteinCath'
proteinCogSource_col = 'sourceDBID'
proteinCog_table = 'proteinCog'
proteinConflicts_table = 'proteinConflicts'
proteinCorrespondence_table = 'proteinCorrespondence'
proteinDBAliCluster_table = 'proteinDBAliCluster'
proteinDescriptionSource_col = 'sourceDBID'
proteinDescription_col = 'proteinDescription'
proteinDescription_table = 'proteinDescription'
proteinECSource_col = 'sourceDBID'
proteinEC_table = 'proteinEC'
proteinFunctionSource_col = 'sourceDBID'
proteinFunction_col = 'proteinFunction'
proteinFunction_table = 'proteinFunction'
proteinGoSource_col = 'sourceDBID'
proteinGo_table = 'proteinGo'
proteinIP_col = 'proteinIP'
proteinKeywordSource_col = 'sourceDBID'
proteinKeyword_col = 'proteinKeyword'
proteinKeyword_table = 'proteinKeyword'
proteinMD5_col = 'proteinMD5'
proteinMW_col = 'proteinMW'
proteinPianaA_col = 'proteinPianaA'
proteinPianaB_col = 'proteinPianaB '
proteinPianaCounter_col = 'proteinPianaCounter'
proteinPianaCounter_table = 'proteinPianaCounter'
proteinPiana_col = 'proteinPiana'
proteinProsite_table = 'proteinProsite'
proteinScopSource_col = 'sourceDBID'
proteinScop_table = 'proteinScop'
proteinSequenceLength_col = 'proteinSequenceLength'
proteinSequence_col = 'proteinSequence'
proteinSimilarity_table = 'proteinSimilarity'
proteinSpeciesSource_col = 'sourceDBID'
proteinSpecies_table = 'proteinSpecies'
proteinSubcellularLocationSource_col = 'sourceDBID'
proteinSubcellularLocation_col = 'proteinSubcellularLocation'
proteinSubcellularLocation_table = 'proteinSubcellularLocation'
protein_id_intDB_table = 'protein_id_intDB'
protein_table = 'protein'
protein_types_description = {'emblacc': 'the (genbank, embl, DNA DBJ) accession for the protein\n(eg. BAA22171.1, AAA16451)', 'emblpid': 'the embl protein identifier (eg. AAB17354) (deprecated)', 'fasta': 'the sequence of the protein preceded\nby a title line', 'geneName': 'the gene name for the protein (eg. bclx)', 'gi': 'the NCBI gi code for the protein (eg. 1622940)', 'interpro': 'the interpro code for the protein (eg. IPR012238)', 'md5': 'the md5 checksum of the protein sequence\nfollowe...8 aminoacids (first 4 and last\n4 of the sequence)', 'pdb.chain': 'the pdb code for the protein (eg. 1r2d.A)', 'pirAccession': 'the PIR accession for the protein (eg. B47537)', 'pirEntry': 'the PIR entry for the protein (eg. B47537)', ...}
pubmedID_col = 'pubmedID'
reaction_col = 'reaction'
res_end_col = 'res_end'
res_start_col = 'res_start'
segmentID_col = 'segmentID'
sf_col = 'sf'
sourceDBID_col = 'sourceDBID'
source_databases = {'bind': ['bind'], 'bind_c': ['bind_c'], 'blast_transfer': ['blast_transfer'], 'cog': ['cog'], 'completion': ['completion'], 'dbali': ['dbali'], 'dip': ['dip'], 'dip_c': ['dip_c'], 'expansion': ['expansion'], 'expansion_c': ['expansion_c'], ...}
speciesDescription_col = 'speciesDescription'
speciesKingdom_col = 'speciesKingdom'
speciesNCBI_col = 'speciesNCBI'
speciesName_col = 'speciesName'
speciesSource_col = 'sourceDBID'
species_table = 'species'
swissAccessionID_col = 'swissAccessionID'
swissAccessionSource_col = 'sourceDBID'
swissAccession_table = 'swissAccession'
swissProtID_col = 'swissProtID'
swissProtSource_col = 'sourceDBID'
swissProt_table = 'swissProt'
t_col = 't'
tab_separators = {'html': ' ', 'txt': '\t'}
textmining_score_col = 'textmining_score'
textmining_score_transferred_col = 'textmining_score_transferred'
uniprotInfo_table = 'uniprotInfo'
valid_protein_types = {'emblacc': {'emblAccession': 'emblAccessionID'}, 'emblpid': {'emblPID': 'emblPID'}, 'fasta': {'protein': 'proteinSequence'}, 'geneName': {'geneName': 'geneName'}, 'gi': {'gi': 'giID'}, 'interpro': {'interPro': 'interProID'}, 'md5': {'protein': 'proteinMD5'}, 'pdb.chain': {'pdb': 'pdb_chain'}, 'pirAccession': {'pirAccession': 'pirAccessionID'}, 'pirEntry': {'pirEntry': 'pirEntryID'}, ...}
valid_scoring_function_names = ['quotient', 'lineal']
verbose = 0

Data
		DBAliclusterID_col = 'DBAliclusterID' DBAliclusteringMethod_col = 'DBAliclusteringMethod' a_col = 'a' array_score_col = 'array_score' array_score_transferred_col = 'array_score_transferred' c_col = 'c' cathID_col = 'cathID' cellFitnessSource_col = 'sourceDBID' cellFitness_table = 'cellFitness' cf_col = 'cf' chain_col = 'chain' cogDescription_col = 'cogDescription' cogFunction_col = 'cogFunction' cogID_col = 'cogID' cogSource_col = 'sourceDBID' cog_table = 'cog' combined_score_col = 'combined_score' conditions_col = 'conditions' confidenceAssigned_col = 'confidenceAssigned' conflictID_col = 'conflictID' data_class_col = 'data_class' database_score_col = 'database_score' database_score_transferred_col = 'database_score_transferred' description_col = 'description' dot_edge_lenght = '1' dot_node_font_size = '10' dot_node_height = '0.15' dot_node_shape = 'box' dot_node_style = 'filled' dot_node_width = '0.15' dot_orientation = 'portrait' dot_overlap = 'scale' dot_pack = 'true' dot_standard_node_fill_color = 'lightblue' ecDescription_col = 'ecDescription' ecID_col = 'ecID' ecSource_col = 'sourceDBID' ec_table = 'ec' emblAccessionID_col = 'emblAccessionID' emblAccessionSource_col = 'sourceDBID' emblAccessionVersion_col = 'emblAccessionVersion' emblAccession_table = 'emblAccession' emblPIDSource_col = 'sourceDBID' emblPIDVersion_col = 'emblPIDVersion' emblPID_col = 'emblPID' emblPID_table = 'emblPID' equiv_fscore_col = 'equiv_fscore' equiv_hscore_col = 'equiv_hscore' equiv_nscore_col = 'equiv_nscore' equiv_nscore_transferred_col = 'equiv_nscore_transferred' equiv_pscore_col = 'equiv_pscore' expansion_types = {'cog': ['cog', 'expansionsamecog'], 'ec': ['ec', 'expansionsameec'], 'interpro': ['interpro', 'expansionsameinterpro'], 'scop': ['scop', 'expansionsamescop']} experimental_score_col = 'experimental_score' experimental_score_transferred_col = 'experimental_score_transferred' fa_col = 'fa' fitnessScore_col = 'fitnessScore' geneNameSource_col = 'sourceDBID' geneName_col = 'geneName' geneName_table = 'geneName' giID_col = 'giID' giSource_col = 'sourceDBID' gi_table = 'gi' goID_col = 'goID' goSource_col = 'sourceDBID' go_acc_col = 'acc' go_distance2root = 'distance2root' go_name_col = 'name' go_parent_col = 'go_parent' go_son_col = 'go_son' go_table = 'go' go_term2term_distance_col = 'distance' go_term2term_distance_table = 'go_term2term_distance' go_term2term_distance_term1_col = 'go_term1' go_term2term_distance_term2_col = 'go_term2' go_term_type_col = 'term_type' h_col = 'h' huge_depth = 1000 huge_distance = 1000 huge_value = 100 infra_expressed_protein = 'infra_expressed' intdbID_col = 'intdbID' interProDescription_col = 'interProDescription' interProID_col = 'interProID' interProSource_col = 'sourceDBID' interPro_table = 'interPro' interactionConfidence_col = 'interactionConfidence' interactionFeatures_table = 'interactionFeatures' interactionMethod_table = 'interactionMethod' interactionPiana_col = 'interactionPiana' interactionProteinSource_table = 'interactionProteinSource' interactionScores_table = 'interactionScores' interactionSourceDB_table = 'interactionSourceDB' interaction_databases = ['dip', 'dip_c', 'expansion', 'expansion_c', 'mips', 'mips_c', 'hprd', 'hprd_c', 'bind', 'bind_c', 'ori', 'ori_c', 'pibase', 'pibase_c', 'posas', 'posas_c', 'string', 'string_c', 'user'] interaction_line_styles = {'extended': ['dashed'], 'normal': ['solid'], 'propagated': ['dotted']} interaction_source_databases_colors = {'': ['black'], 'bind': ['grey'], 'bind_c': ['grey'], 'dip': ['red'], 'dip_c': ['red'], 'expansion': ['orange'], 'expansion_c': ['orange'], 'hprd': ['blue'], 'intersection': ['cyan'], 'mips': ['darkgreen'], ...} interaction_table = 'interaction' isComplete_col = 'isComplete' isPrimary_col = 'isPrimary' isSourceA_col = 'isSourceA' isSourceB_col = 'isSourceB ' line_separators = {'html': '<br>', 'txt': '\n'} methodID_col = 'methodID' method_names = {'3dstruct': ['3dstruct', 'three dimensional structure', '3d structure'], 'adhesion': ['adhesion', 'interaction adhesion', 'interaction adhesion assay'], 'affinchrom': ['affinchrom', 'affinity chromatogra', 'affinity chromatografy', 'affinity chromatography', 'affinity chromatography technologies'], 'alanine': ['alanine', 'alanine scanning'], 'atomic': ['atomic', 'atomic force microsc', 'atomic force microscopy'], 'biacore': ['biacore', 'biacore sensor chip'], 'calcium': ['calcium', 'calcium mobilization', 'calcium mobilization assay'], 'chemotaxis': ['chemotaxis'], 'colocalization': ['colocalization', 'colocalization/visualisation technologies'], 'competition': ['competition', 'competition binding'], ...} negative_fitness_value = {'dot': '', 'html': 'no', 'txt': 'no'} negative_location_value = {'dot': '', 'html': 'no', 'txt': 'different'} negative_root_value = {'dot': '', 'html': 'no', 'txt': 'not-root'} negative_species_value = {'dot': '', 'html': 'no', 'txt': 'different'} node_border_colors = {'expanded': ['blue'], 'infra_expressed': ['green'], 'normal': ['black'], 'over_expressed': ['red']} node_fill_colors = {'keyword': ['red'], 'normal': ['lightblue'], 'root': ['yellow'], 'root_keyword': ['orange']} organelle_col = 'organelle' organism_col = 'organism' over_expressed_protein = 'over_expressed' patchResidues_col = 'patchResidues' pdbID_col = 'pdbID' pdbSource_col = 'sourceDBID' pdb_chain_col = 'pdb_chain' pdb_table = 'pdb' pibase_databases = ['pibase_patchesDB_g05c75i0', 'pibase_patchesDB_g075c75i50', 'pibase_patchesDB_g05c75i50'] pibase_dbali_methods = ['pi_dbalig05c75i0', 'pi_dbalig075c75i50', 'pi_dbalig05c75i50'] pirAccessionID_col = 'pirAccessionID' pirAccessionSource_col = 'sourceDBID' pirAccession_table = 'pirAccession' pirEntryID_col = 'pirEntryID' pirEntrySource_col = 'sourceDBID' pirEntry_table = 'pirEntry' positive_fitness_value = {'dot': '', 'html': 'yes', 'txt': 'yes'} positive_location_value = {'dot': '', 'html': 'yes', 'txt': 'same'} positive_root_value = {'dot': '', 'html': 'yes', 'txt': 'is-root'} positive_species_value = {'dot': '', 'html': 'yes', 'txt': 'same'} prositeID_col = 'prositeID' prositeSource_col = 'sourceDBID' proteinCathSource_col = 'sourceDBID' proteinCath_table = 'proteinCath' proteinCogSource_col = 'sourceDBID' proteinCog_table = 'proteinCog' proteinConflicts_table = 'proteinConflicts' proteinCorrespondence_table = 'proteinCorrespondence' proteinDBAliCluster_table = 'proteinDBAliCluster' proteinDescriptionSource_col = 'sourceDBID' proteinDescription_col = 'proteinDescription' proteinDescription_table = 'proteinDescription' proteinECSource_col = 'sourceDBID' proteinEC_table = 'proteinEC' proteinFunctionSource_col = 'sourceDBID' proteinFunction_col = 'proteinFunction' proteinFunction_table = 'proteinFunction' proteinGoSource_col = 'sourceDBID' proteinGo_table = 'proteinGo' proteinIP_col = 'proteinIP' proteinKeywordSource_col = 'sourceDBID' proteinKeyword_col = 'proteinKeyword' proteinKeyword_table = 'proteinKeyword' proteinMD5_col = 'proteinMD5' proteinMW_col = 'proteinMW' proteinPianaA_col = 'proteinPianaA' proteinPianaB_col = 'proteinPianaB ' proteinPianaCounter_col = 'proteinPianaCounter' proteinPianaCounter_table = 'proteinPianaCounter' proteinPiana_col = 'proteinPiana' proteinProsite_table = 'proteinProsite' proteinScopSource_col = 'sourceDBID' proteinScop_table = 'proteinScop' proteinSequenceLength_col = 'proteinSequenceLength' proteinSequence_col = 'proteinSequence' proteinSimilarity_table = 'proteinSimilarity' proteinSpeciesSource_col = 'sourceDBID' proteinSpecies_table = 'proteinSpecies' proteinSubcellularLocationSource_col = 'sourceDBID' proteinSubcellularLocation_col = 'proteinSubcellularLocation' proteinSubcellularLocation_table = 'proteinSubcellularLocation' protein_id_intDB_table = 'protein_id_intDB' protein_table = 'protein' protein_types_description = {'emblacc': 'the (genbank, embl, DNA DBJ) accession for the protein\n(eg. BAA22171.1, AAA16451)', 'emblpid': 'the embl protein identifier (eg. AAB17354) (deprecated)', 'fasta': 'the sequence of the protein preceded\nby a title line', 'geneName': 'the gene name for the protein (eg. bclx)', 'gi': 'the NCBI gi code for the protein (eg. 1622940)', 'interpro': 'the interpro code for the protein (eg. IPR012238)', 'md5': 'the md5 checksum of the protein sequence\nfollowe...8 aminoacids (first 4 and last\n4 of the sequence)', 'pdb.chain': 'the pdb code for the protein (eg. 1r2d.A)', 'pirAccession': 'the PIR accession for the protein (eg. B47537)', 'pirEntry': 'the PIR entry for the protein (eg. B47537)', ...} pubmedID_col = 'pubmedID' reaction_col = 'reaction' res_end_col = 'res_end' res_start_col = 'res_start' segmentID_col = 'segmentID' sf_col = 'sf' sourceDBID_col = 'sourceDBID' source_databases = {'bind': ['bind'], 'bind_c': ['bind_c'], 'blast_transfer': ['blast_transfer'], 'cog': ['cog'], 'completion': ['completion'], 'dbali': ['dbali'], 'dip': ['dip'], 'dip_c': ['dip_c'], 'expansion': ['expansion'], 'expansion_c': ['expansion_c'], ...} speciesDescription_col = 'speciesDescription' speciesKingdom_col = 'speciesKingdom' speciesNCBI_col = 'speciesNCBI' speciesName_col = 'speciesName' speciesSource_col = 'sourceDBID' species_table = 'species' swissAccessionID_col = 'swissAccessionID' swissAccessionSource_col = 'sourceDBID' swissAccession_table = 'swissAccession' swissProtID_col = 'swissProtID' swissProtSource_col = 'sourceDBID' swissProt_table = 'swissProt' t_col = 't' tab_separators = {'html': ' ', 'txt': '\t'} textmining_score_col = 'textmining_score' textmining_score_transferred_col = 'textmining_score_transferred' uniprotInfo_table = 'uniprotInfo' valid_protein_types = {'emblacc': {'emblAccession': 'emblAccessionID'}, 'emblpid': {'emblPID': 'emblPID'}, 'fasta': {'protein': 'proteinSequence'}, 'geneName': {'geneName': 'geneName'}, 'gi': {'gi': 'giID'}, 'interpro': {'interPro': 'interProID'}, 'md5': {'protein': 'proteinMD5'}, 'pdb.chain': {'pdb': 'pdb_chain'}, 'pirAccession': {'pirAccession': 'pirAccessionID'}, 'pirEntry': {'pirEntry': 'pirEntryID'}, ...} valid_scoring_function_names = ['quotient', 'lineal'] verbose = 0