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float64
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float64
qsc_code_num_words_quality_signal
int64
qsc_code_num_chars_quality_signal
float64
qsc_code_mean_word_length_quality_signal
float64
qsc_code_frac_words_unique_quality_signal
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qsc_code_frac_chars_top_2grams_quality_signal
float64
qsc_code_frac_chars_top_3grams_quality_signal
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qsc_code_frac_chars_top_4grams_quality_signal
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qsc_code_frac_chars_dupe_5grams_quality_signal
float64
qsc_code_frac_chars_dupe_6grams_quality_signal
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qsc_code_frac_chars_dupe_7grams_quality_signal
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qsc_code_frac_chars_dupe_8grams_quality_signal
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qsc_code_frac_chars_dupe_9grams_quality_signal
float64
qsc_code_frac_chars_dupe_10grams_quality_signal
float64
qsc_code_frac_chars_replacement_symbols_quality_signal
float64
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float64
qsc_code_frac_chars_whitespace_quality_signal
float64
qsc_code_size_file_byte_quality_signal
float64
qsc_code_num_lines_quality_signal
float64
qsc_code_num_chars_line_max_quality_signal
float64
qsc_code_num_chars_line_mean_quality_signal
float64
qsc_code_frac_chars_alphabet_quality_signal
float64
qsc_code_frac_chars_comments_quality_signal
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qsc_code_frac_lines_dupe_lines_quality_signal
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float64
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float64
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float64
qsc_code_frac_lines_assert_quality_signal
float64
qsc_codepython_cate_ast_quality_signal
float64
qsc_codepython_frac_lines_func_ratio_quality_signal
float64
qsc_codepython_cate_var_zero_quality_signal
bool
qsc_codepython_frac_lines_pass_quality_signal
float64
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qsc_codepython_frac_lines_simplefunc_quality_signal
float64
qsc_codepython_score_lines_no_logic_quality_signal
float64
qsc_codepython_frac_lines_print_quality_signal
float64
qsc_code_num_words
int64
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int64
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null
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int64
qsc_code_frac_chars_top_3grams
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int64
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qsc_code_frac_chars_comments
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qsc_code_cate_autogen
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qsc_code_frac_lines_string_concat
null
qsc_code_cate_encoded_data
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qsc_code_frac_chars_hex_words
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qsc_code_frac_lines_prompt_comments
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qsc_code_frac_lines_assert
int64
qsc_codepython_cate_ast
int64
qsc_codepython_frac_lines_func_ratio
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qsc_codepython_cate_var_zero
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qsc_codepython_frac_lines_pass
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qsc_codepython_frac_lines_import
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effective
string
hits
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0df14258eb0ab5fa19bc5ce16ea9d302eba18751
128
py
Python
python/testData/completion/heavyStarPropagation/lib/_pkg1/_pkg1_1/_pkg1_1_0/_pkg1_1_0_1/_pkg1_1_0_1_0/_mod1_1_0_1_0_0.py
jnthn/intellij-community
8fa7c8a3ace62400c838e0d5926a7be106aa8557
[ "Apache-2.0" ]
2
2019-04-28T07:48:50.000Z
2020-12-11T14:18:08.000Z
python/testData/completion/heavyStarPropagation/lib/_pkg1/_pkg1_1/_pkg1_1_0/_pkg1_1_0_1/_pkg1_1_0_1_0/_mod1_1_0_1_0_0.py
Cyril-lamirand/intellij-community
60ab6c61b82fc761dd68363eca7d9d69663cfa39
[ "Apache-2.0" ]
173
2018-07-05T13:59:39.000Z
2018-08-09T01:12:03.000Z
python/testData/completion/heavyStarPropagation/lib/_pkg1/_pkg1_1/_pkg1_1_0/_pkg1_1_0_1/_pkg1_1_0_1_0/_mod1_1_0_1_0_0.py
Cyril-lamirand/intellij-community
60ab6c61b82fc761dd68363eca7d9d69663cfa39
[ "Apache-2.0" ]
2
2020-03-15T08:57:37.000Z
2020-04-07T04:48:14.000Z
name1_1_0_1_0_0_0 = None name1_1_0_1_0_0_1 = None name1_1_0_1_0_0_2 = None name1_1_0_1_0_0_3 = None name1_1_0_1_0_0_4 = None
14.222222
24
0.820313
40
128
1.875
0.175
0.266667
0.466667
0.533333
0.88
0.88
0.746667
0
0
0
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0.318182
0.140625
128
9
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14.222222
0.363636
0
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false
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0
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10
218c0ffdf0dc4fc53a01eca42ae30bf78ba39849
8,025
py
Python
setup_webserver.py
thachnguyen/duesselpore
7d91cfc12cfef392c6fbe0f4cc40d4c903863c5d
[ "MIT" ]
3
2021-11-17T10:48:35.000Z
2021-11-18T07:41:12.000Z
setup_webserver.py
thachnguyen/duesselpore
7d91cfc12cfef392c6fbe0f4cc40d4c903863c5d
[ "MIT" ]
null
null
null
setup_webserver.py
thachnguyen/duesselpore
7d91cfc12cfef392c6fbe0f4cc40d4c903863c5d
[ "MIT" ]
null
null
null
from netifaces import interfaces, ifaddresses, AF_INET import os, sys def ip4_addresses(): ip_list = [] for interface in interfaces(): try: for link in ifaddresses(interface)[AF_INET]: ip_list.append(link['addr']) except Exception: pass return ip_list if __name__=="__main__": print('setup IP address') iplist = ip4_addresses() f = open('/home/ag-rossi/projects/duesselpore/NGS_webserver/settings.py', 'r').readlines() f[27] = f[27][:-2]+','+ str(iplist)[1:] + '\n' f1 = open('/home/ag-rossi/projects/duesselpore/NGS_webserver/settings.py', 'w') f1.writelines(f) f1.close() print('Updating duesselpore') os.system('git -C /home/ag-rossi/projects/duesselpore pull') if len(sys.argv) >1: if sys.argv[1]=='light': print('Downloading human reference genome') os.system('wget ftp://ftp.ensembl.org/pub/release-102/fasta/homo_sapiens/dna/Homo_sapiens.GRCh38.dna.primary_assembly.fa.gz -P ~/ReferenceData/') os.system('wget http://ftp.ensembl.org/pub/release-102/gtf/homo_sapiens/Homo_sapiens.GRCh38.102.gtf.gz -P ~/ReferenceData/') os.system('wget ftp://ftp.ensembl.org/pub/release-104/fasta/homo_sapiens/cdna/Homo_sapiens.GRCh38.cdna.all.fa.gz -P ~/ReferenceData/') print('creating human reference genome indexes, please wait') os.system('minimap2 -t 4 -k14 -w10 -d ~/ReferenceData/reference_human.mmi ~/ReferenceData/Homo_sapiens.GRCh38.dna.primary_assembly.fa.gz') #os.system('echo %s|sudo -S %s'%(sudo_pass, install_cmd)) os.unlink('/home/ag-rossi/ReferenceData/Homo_sapiens.GRCh38.dna.primary_assembly.fa.gz') if sys.argv[1]=='full': print('Downloading human reference genome') os.system('wget ftp://ftp.ensembl.org/pub/release-102/fasta/homo_sapiens/dna/Homo_sapiens.GRCh38.dna.primary_assembly.fa.gz -P ~/ReferenceData/') os.system('wget http://ftp.ensembl.org/pub/release-102/gtf/homo_sapiens/Homo_sapiens.GRCh38.102.gtf.gz -P ~/ReferenceData/') os.system('wget ftp://ftp.ensembl.org/pub/release-104/fasta/homo_sapiens/cdna/Homo_sapiens.GRCh38.cdna.all.fa.gz -P ~/ReferenceData/') print('creating human reference genome indexes, please wait') os.system('minimap2 -t 4 -k15 -w10 -d ~/ReferenceData/reference_human.mmi ~/ReferenceData/Homo_sapiens.GRCh38.dna.primary_assembly.fa.gz') # install_cmd ='apt install fastqc' # sudo_pass = '123456' # os.system('echo %s|sudo -S %s'%(sudo_pass, install_cmd)) os.unlink('/home/ag-rossi/ReferenceData/Homo_sapiens.GRCh38.dna.primary_assembly.fa.gz') print('Downloading mouse reference genome') os.system('wget ftp://ftp.ensembl.org/pub/release-102/fasta/mus_musculus/dna/Mus_musculus.GRCm38.dna.primary_assembly.fa.gz -P ~/ReferenceData/') os.system('wget ftp://ftp.ensembl.org/pub/release-102/gtf/mus_musculus/Mus_musculus.GRCm38.102.gtf.gz -P ~/ReferenceData/') os.system('wget http://ftp.ensembl.org/pub/release-102/fasta/mus_musculus/cdna/Mus_musculus.GRCm38.cdna.all.fa.gz -P ~/ReferenceData/') print('creating mouse reference genome indexes, please wait') os.system('minimap2 -t 4 -k15 -w10 -d ~/ReferenceData/Mus_musculus.mmi ~/ReferenceData/Mus_musculus.GRCm38.dna.primary_assembly.fa.gz') # install_cmd ='apt install fastqc' # sudo_pass = '123456' # os.system('echo %s|sudo -S %s'%(sudo_pass, install_cmd)) os.unlink('/home/ag-rossi/ReferenceData/Mus_musculus.GRCm38.dna.primary_assembly.fa.gz') print('Downloading rat reference genome') os.system('wget ftp://ftp.ensembl.org/pub/release-102/fasta/rattus_norvegicus/dna/Rattus_norvegicus.Rnor_6.0.dna.toplevel.fa.gz -P ~/ReferenceData/') os.system('wget ftp://ftp.ensembl.org/pub/release-102/gtf/rattus_norvegicus/Rattus_norvegicus.Rnor_6.0.102.gtf.gz -P ~/ReferenceData/') os.system('wget http://ftp.ensembl.org/pub/release-102/fasta/rattus_norvegicus/cdna/Rattus_norvegicus.Rnor_6.0.cdna.all.fa.gz -P ~/ReferenceData/') print('creating rat reference genome indexes, please wait') os.system('minimap2 -t 4 -k15 -w10 -d ~/ReferenceData/Rattus_norvegicus.mmi ~/ReferenceData/Rattus_norvegicus.Rnor_6.0.dna.toplevel.fa.gz') # install_cmd ='apt install fastqc' # sudo_pass = '123456' # os.system('echo %s|sudo -S %s'%(sudo_pass, install_cmd)) os.unlink('/home/ag-rossi/ReferenceData/Rattus_norvegicus.Rnor_6.0.dna.toplevel.fa.gz') print('Downloading zebrafish reference genome') os.system('wget ftp://ftp.ensembl.org/pub/release-102/fasta/danio_rerio/dna/Danio_rerio.GRCz11.dna.primary_assembly.fa.gz -P ~/ReferenceData/') os.system('wget ftp://ftp.ensembl.org/pub/release-102/gtf/danio_rerio/Danio_rerio.GRCz11.102.gtf.gz -P ~/ReferenceData/') os.system('wget http://ftp.ensembl.org/pub/release-102/fasta/danio_rerio/cdna/Danio_rerio.GRCz11.cdna.all.fa.gz -P ~/ReferenceData/') print('creating zebrafish reference genome indexes, please wait') os.system('minimap2 -t 4 -k15 -w10 -d ~/ReferenceData/Danio_rerio.mmi ~/ReferenceData/Danio_rerio.GRCz11.dna.primary_assembly.fa.gz') # install_cmd ='apt install fastqc' # sudo_pass = '123456' # os.system('echo %s|sudo -S %s'%(sudo_pass, install_cmd)) os.unlink('/home/ag-rossi/ReferenceData/Danio_rerio.GRCz11.dna.primary_assembly.fa.gz') print('Downloading C elegans reference genome') os.system('wget ftp://ftp.ensembl.org/pub/release-102/fasta/caenorhabditis_elegans/dna/Caenorhabditis_elegans.WBcel235.dna.toplevel.fa.gz -P ~/ReferenceData/') os.system('wget ftp://ftp.ensembl.org/pub/release-102/gtf/caenorhabditis_elegans/Caenorhabditis_elegans.WBcel235.102.gtf.gz -P ~/ReferenceData/') os.system('wget http://ftp.ensembl.org/pub/release-104/fasta/caenorhabditis_elegans/cdna/Caenorhabditis_elegans.WBcel235.cdna.all.fa.gz -P ~/ReferenceData/') print('creating Celegans reference genome indexes, please wait') os.system('minimap2 -t 4 -k15 -w10 -d ~/ReferenceData/Caenorhabditis_elegans.mmi ~/ReferenceData/Caenorhabditis_elegans.WBcel235.dna.toplevel.fa.gz') print('Downloading Covid19 reference genome') os.system('wget http://ftp.ebi.ac.uk/ensemblgenomes/pub/viruses/fasta/sars_cov_2/dna/Sars_cov_2.ASM985889v3.dna.toplevel.fa.gz -P ~/ReferenceData/') os.system('wget http://ftp.ebi.ac.uk/ensemblgenomes/pub/viruses/gtf/sars_cov_2/Sars_cov_2.ASM985889v3.101.gtf.gz -P ~/ReferenceData/') os.system('wget http://ftp.ebi.ac.uk/ensemblgenomes/pub/viruses/fasta/sars_cov_2/cdna/Sars_cov_2.ASM985889v3.cdna.all.fa.gz -P ~/ReferenceData/') print('creating Covid19 reference genome indexes, please wait') os.system('minimap2 -t 4 -k15 -w10 -d ~/ReferenceData/Covid19.mmi ~/ReferenceData/Sars_cov_2.ASM985889v3.dna.toplevel.fa.gz') # install_cmd ='apt install fastqc' # sudo_pass = '123456' # os.system('echo %s|sudo -S %s'%(sudo_pass, install_cmd)) os.unlink('/home/ag-rossi/ReferenceData/Caenorhabditis_elegans.WBcel235.dna.toplevel.fa.gz') os.unlink('/home/ag-rossi/ReferenceData/Sars_cov_2.ASM985889v3.dna.toplevel.fa.gz') # print('creating mouse reference genome indexes, please wait') # os.system('minimap2 -t 4 -k15 -w10 -d ~/ReferenceData/reference_mouse.mmi ~/ReferenceData/Mus_musculus.GRCm39.dna.toplevel.fa.gz') # print('creating rat reference genome indexes, please wait') # os.system('minimap2 -t 4 -k15 -w10 -d ~/ReferenceData/reference_rat.mmi ~/ReferenceData/Rattus_norvegicus.Rnor_6.0.dna.toplevel.fa.gz') # print('creating zebrafish reference genome indexes, please wait') # os.system('minimap2 -t 4 -k15 -w10 -d ~/ReferenceData/reference_zebrafish.mmi ~/ReferenceData/Danio_rerio.GRCz11.dna.toplevel.fa.gz') # print('creating C elegans reference genome indexes, please wait') # os.system('minimap2 -t 4 -k15 -w10 -d ~/ReferenceData/reference_celegans.mmi ~/ReferenceData/Caenorhabditis_elegans.WBcel235.dna.toplevel.fa.gz') # os.unlink('~/ReferenceData/*.fa.gz') print('Your webserver IP address is %s, please use http://%s:8000/duesselpore/ on your browser:'%(iplist[-1], iplist[-1])) print('Other alternative address', iplist)
68.008475
162
0.742928
1,190
8,025
4.896639
0.12521
0.053544
0.043247
0.049425
0.827184
0.81191
0.792003
0.777415
0.742578
0.675648
0
0.043412
0.098692
8,025
118
163
68.008475
0.762201
0.181184
0
0.16
0
0.4
0.763861
0.392699
0
0
0
0
0
1
0.013333
false
0.013333
0.026667
0
0.053333
0.24
0
0
0
null
0
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1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
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null
0
0
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0
0
0
0
0
0
0
0
0
8
21f26aeebaea1e18308aa5f40ac6c1804651179b
24,446
py
Python
Fuzzy_clustering/version3/project_manager/rabbitmq_client.py
joesider9/forecasting_library
db07ff8f0f2693983058d49004f2fc6f8849d197
[ "Apache-2.0" ]
null
null
null
Fuzzy_clustering/version3/project_manager/rabbitmq_client.py
joesider9/forecasting_library
db07ff8f0f2693983058d49004f2fc6f8849d197
[ "Apache-2.0" ]
null
null
null
Fuzzy_clustering/version3/project_manager/rabbitmq_client.py
joesider9/forecasting_library
db07ff8f0f2693983058d49004f2fc6f8849d197
[ "Apache-2.0" ]
null
null
null
import pika, uuid, time, json, joblib, os import numpy as np RABBIT_MQ_HOST = os.getenv('RABBIT_MQ_HOST') RABBIT_MQ_PASS = os.getenv('RABBIT_MQ_PASS') RABBIT_MQ_PORT = int(os.getenv('RABBIT_MQ_PORT')) sys_path = '/models/' class NumpyEncoder(json.JSONEncoder): def default(self, obj): if isinstance(obj, np.ndarray): return obj.tolist() elif isinstance(obj, np.integer) or isinstance(obj, int): return int(obj) elif isinstance(obj, np.floating) or isinstance(obj, float): return float(obj) elif isinstance(obj, np.str) or isinstance(obj, str): return str(obj) elif isinstance(obj, np.bool) or isinstance(obj, bool): return bool(obj) try: return json.JSONEncoder.default(self, obj) except: print(obj) raise TypeError('Object is not JSON serializable') class rabbit_client_data(object): def __init__(self ): parameters = pika.ConnectionParameters(RABBIT_MQ_HOST, RABBIT_MQ_PORT) start_time = time.time() while True: # wait for rabbitmq try: self.connection = pika.BlockingConnection(parameters) break except: print('Cannot connect yet, sleeping 5 seconds.') time.sleep(5) if time.time() - start_time > 60: print('Could not connect after 30 seconds.') exit(1) self.channel = self.connection.channel() result = self.channel.queue_declare(queue='', exclusive=True) self.callback_queue = result.method.queue self.channel.basic_consume( queue=self.callback_queue, on_message_callback=self.on_response, auto_ack=True) def on_response(self, ch, method, props, body): if self.corr_id == props.correlation_id: self.response = body def call(self, static_data): self.response = None self.corr_id = str(uuid.uuid4()) self.channel.basic_publish( exchange='', routing_key='data_manager', properties=pika.BasicProperties( reply_to=self.callback_queue, correlation_id=self.corr_id, ), body=json.dumps(static_data, cls=NumpyEncoder)) while self.response is None: self.connection.process_data_events() return self.response class rabbit_client_nwp(object): def __init__(self ): credentials = pika.PlainCredentials('admin', 'admin') parameters = pika.ConnectionParameters(RABBIT_MQ_HOST, RABBIT_MQ_PORT) start_time = time.time() while True: # wait for rabbitmq try: self.connection = pika.BlockingConnection(parameters) break except: print('Cannot connect yet, sleeping 5 seconds.') time.sleep(5) if time.time() - start_time > 60: print('Could not connect after 30 seconds.') exit(1) self.channel = self.connection.channel() result = self.channel.queue_declare(queue='', exclusive=True) self.callback_queue = result.method.queue self.channel.basic_consume( queue=self.callback_queue, on_message_callback=self.on_response, auto_ack=True) def on_response(self, ch, method, props, body): if self.corr_id == props.correlation_id: self.response = body def call(self, static_data): self.response = None self.corr_id = str(uuid.uuid4()) self.channel.basic_publish( exchange='', routing_key='nwp_manager', properties=pika.BasicProperties( reply_to=self.callback_queue, correlation_id=self.corr_id, ), body=json.dumps(static_data, cls=NumpyEncoder)) while self.response is None: self.connection.process_data_events() return self.response class rabbit_client_Fuzzy_Data(object): def __init__(self ): credentials = pika.PlainCredentials('admin', 'admin') parameters = pika.ConnectionParameters(RABBIT_MQ_HOST, RABBIT_MQ_PORT) start_time = time.time() while True: # wait for rabbitmq try: self.connection = pika.BlockingConnection(parameters) break except: print('Cannot connect yet, sleeping 5 seconds.') time.sleep(5) if time.time() - start_time > 60: print('Could not connect after 30 seconds.') exit(1) self.channel = self.connection.channel() result = self.channel.queue_declare(queue='', exclusive=True) self.callback_queue = result.method.queue self.channel.basic_consume( queue=self.callback_queue, on_message_callback=self.on_response, auto_ack=True) def on_response(self, ch, method, props, body): if self.corr_id == props.correlation_id: self.response = body def call(self, static_data): self.response = None self.corr_id = str(uuid.uuid4()) self.channel.basic_publish( exchange='', routing_key='FuzzyDatamanager', properties=pika.BasicProperties( reply_to=self.callback_queue, correlation_id=self.corr_id, ), body=json.dumps(static_data, cls=NumpyEncoder)) while self.response is None: self.connection.process_data_events() return self.response class rabbit_client_FeatSel(object): def __init__(self ): credentials = pika.PlainCredentials('admin', 'admin') parameters = pika.ConnectionParameters(RABBIT_MQ_HOST, RABBIT_MQ_PORT) start_time = time.time() while True: # wait for rabbitmq try: self.connection = pika.BlockingConnection(parameters) break except: print('Cannot connect yet, sleeping 5 seconds.') time.sleep(5) if time.time() - start_time > 60: print('Could not connect after 30 seconds.') exit(1) self.channel = self.connection.channel() result = self.channel.queue_declare(queue='', exclusive=True) self.callback_queue = result.method.queue self.channel.basic_consume( queue=self.callback_queue, on_message_callback=self.on_response, auto_ack=True) def on_response(self, ch, method, props, body): if self.corr_id == props.correlation_id: self.response = body def call(self, static_data): self.response = None self.corr_id = str(uuid.uuid4()) self.channel.basic_publish( exchange='', routing_key='FeatSelmanager', properties=pika.BasicProperties( reply_to=self.callback_queue, correlation_id=self.corr_id, ), body=json.dumps(static_data, cls=NumpyEncoder)) while self.response is None: self.connection.process_data_events() return self.response class rabbit_client_CNN(object): def __init__(self ): credentials = pika.PlainCredentials('admin', 'admin') parameters = pika.ConnectionParameters(RABBIT_MQ_HOST, RABBIT_MQ_PORT) start_time = time.time() while True: # wait for rabbitmq try: self.connection = pika.BlockingConnection(parameters) break except: print('Cannot connect yet, sleeping 5 seconds.') time.sleep(5) if time.time() - start_time > 60: print('Could not connect after 30 seconds.') exit(1) self.channel = self.connection.channel() result = self.channel.queue_declare(queue='', exclusive=True) self.callback_queue = result.method.queue self.channel.basic_consume( queue=self.callback_queue, on_message_callback=self.on_response, auto_ack=True) def on_response(self, ch, method, props, body): if self.corr_id == props.correlation_id: self.response = body def call(self, static_data): self.response = None self.corr_id = str(uuid.uuid4()) self.channel.basic_publish( exchange='', routing_key='CNNmanager', properties=pika.BasicProperties( reply_to=self.callback_queue, correlation_id=self.corr_id, ), body=json.dumps(static_data, cls=NumpyEncoder)) while self.response is None: self.connection.process_data_events() return self.response class rabbit_client_LSTM(object): def __init__(self ): credentials = pika.PlainCredentials('admin', 'admin') parameters = pika.ConnectionParameters(RABBIT_MQ_HOST, RABBIT_MQ_PORT) start_time = time.time() while True: # wait for rabbitmq try: self.connection = pika.BlockingConnection(parameters) break except: print('Cannot connect yet, sleeping 5 seconds.') time.sleep(5) if time.time() - start_time > 60: print('Could not connect after 30 seconds.') exit(1) self.channel = self.connection.channel() result = self.channel.queue_declare(queue='', exclusive=True) self.callback_queue = result.method.queue self.channel.basic_consume( queue=self.callback_queue, on_message_callback=self.on_response, auto_ack=True) def on_response(self, ch, method, props, body): if self.corr_id == props.correlation_id: self.response = body def call(self, static_data): self.response = None self.corr_id = str(uuid.uuid4()) self.channel.basic_publish( exchange='', routing_key='LSTMmanager', properties=pika.BasicProperties( reply_to=self.callback_queue, correlation_id=self.corr_id, ), body=json.dumps(static_data, cls=NumpyEncoder)) while self.response is None: self.connection.process_data_events() return self.response class rabbit_client_MLP(object): def __init__(self ): credentials = pika.PlainCredentials('admin', 'admin') parameters = pika.ConnectionParameters(RABBIT_MQ_HOST, RABBIT_MQ_PORT) start_time = time.time() while True: # wait for rabbitmq try: self.connection = pika.BlockingConnection(parameters) break except: print('Cannot connect yet, sleeping 5 seconds.') time.sleep(5) if time.time() - start_time > 60: print('Could not connect after 30 seconds.') exit(1) self.channel = self.connection.channel() result = self.channel.queue_declare(queue='', exclusive=True) self.callback_queue = result.method.queue self.channel.basic_consume( queue=self.callback_queue, on_message_callback=self.on_response, auto_ack=True) def on_response(self, ch, method, props, body): if self.corr_id == props.correlation_id: self.response = body def call(self, static_data): self.response = None self.corr_id = str(uuid.uuid4()) self.channel.basic_publish( exchange='', routing_key='MLPmanager', properties=pika.BasicProperties( reply_to=self.callback_queue, correlation_id=self.corr_id, ), body=json.dumps(static_data, cls=NumpyEncoder)) while self.response is None: self.connection.process_data_events() return self.response class rabbit_client_RBFNN(object): def __init__(self ): credentials = pika.PlainCredentials('admin', 'admin') parameters = pika.ConnectionParameters(RABBIT_MQ_HOST, RABBIT_MQ_PORT) start_time = time.time() while True: # wait for rabbitmq try: self.connection = pika.BlockingConnection(parameters) break except: print('Cannot connect yet, sleeping 5 seconds.') time.sleep(5) if time.time() - start_time > 60: print('Could not connect after 30 seconds.') exit(1) self.channel = self.connection.channel() result = self.channel.queue_declare(queue='', exclusive=True) self.callback_queue = result.method.queue self.channel.basic_consume( queue=self.callback_queue, on_message_callback=self.on_response, auto_ack=True) def on_response(self, ch, method, props, body): if self.corr_id == props.correlation_id: self.response = body def call(self, static_data): self.response = None self.corr_id = str(uuid.uuid4()) self.channel.basic_publish( exchange='', routing_key='RBFNNmanager', properties=pika.BasicProperties( reply_to=self.callback_queue, correlation_id=self.corr_id, ), body=json.dumps(static_data, cls=NumpyEncoder)) while self.response is None: self.connection.process_data_events() return self.response class rabbit_client_RBF_CNN(object): def __init__(self ): credentials = pika.PlainCredentials('admin', 'admin') parameters = pika.ConnectionParameters(RABBIT_MQ_HOST, RABBIT_MQ_PORT) start_time = time.time() while True: # wait for rabbitmq try: self.connection = pika.BlockingConnection(parameters) break except: print('Cannot connect yet, sleeping 5 seconds.') time.sleep(5) if time.time() - start_time > 60: print('Could not connect after 30 seconds.') exit(1) self.channel = self.connection.channel() result = self.channel.queue_declare(queue='', exclusive=True) self.callback_queue = result.method.queue self.channel.basic_consume( queue=self.callback_queue, on_message_callback=self.on_response, auto_ack=True) def on_response(self, ch, method, props, body): if self.corr_id == props.correlation_id: self.response = body def call(self, static_data): self.response = None self.corr_id = str(uuid.uuid4()) self.channel.basic_publish( exchange='', routing_key='RBF_CNN_manager', properties=pika.BasicProperties( reply_to=self.callback_queue, correlation_id=self.corr_id, ), body=json.dumps(static_data, cls=NumpyEncoder)) while self.response is None: self.connection.process_data_events() return self.response class rabbit_client_RBFOLS(object): def __init__(self ): credentials = pika.PlainCredentials('admin', 'admin') parameters = pika.ConnectionParameters(RABBIT_MQ_HOST, RABBIT_MQ_PORT) start_time = time.time() while True: # wait for rabbitmq try: self.connection = pika.BlockingConnection(parameters) break except: print('Cannot connect yet, sleeping 5 seconds.') time.sleep(5) if time.time() - start_time > 60: print('Could not connect after 30 seconds.') exit(1) self.channel = self.connection.channel() result = self.channel.queue_declare(queue='', exclusive=True) self.callback_queue = result.method.queue self.channel.basic_consume( queue=self.callback_queue, on_message_callback=self.on_response, auto_ack=True) def on_response(self, ch, method, props, body): if self.corr_id == props.correlation_id: self.response = body def call(self, static_data): self.response = None self.corr_id = str(uuid.uuid4()) self.channel.basic_publish( exchange='', routing_key='RBFOLSmanager', properties=pika.BasicProperties( reply_to=self.callback_queue, correlation_id=self.corr_id, ), body=json.dumps(static_data, cls=NumpyEncoder)) while self.response is None: self.connection.process_data_events() return self.response class rabbit_client_SKlearn(object): def __init__(self ): credentials = pika.PlainCredentials('admin', 'admin') parameters = pika.ConnectionParameters(RABBIT_MQ_HOST, RABBIT_MQ_PORT) start_time = time.time() while True: # wait for rabbitmq try: self.connection = pika.BlockingConnection(parameters) break except: print('Cannot connect yet, sleeping 5 seconds.') time.sleep(5) if time.time() - start_time > 60: print('Could not connect after 30 seconds.') exit(1) self.channel = self.connection.channel() result = self.channel.queue_declare(queue='', exclusive=True) self.callback_queue = result.method.queue self.channel.basic_consume( queue=self.callback_queue, on_message_callback=self.on_response, auto_ack=True) def on_response(self, ch, method, props, body): if self.corr_id == props.correlation_id: self.response = body def call(self, static_data): self.response = None self.corr_id = str(uuid.uuid4()) self.channel.basic_publish( exchange='', routing_key='SKlearnmanager', properties=pika.BasicProperties( reply_to=self.callback_queue, correlation_id=self.corr_id, ), body=json.dumps(static_data, cls=NumpyEncoder)) while self.response is None: self.connection.process_data_events() return self.response class rabbit_client_ClustComb(object): def __init__(self ): credentials = pika.PlainCredentials('admin', 'admin') parameters = pika.ConnectionParameters(RABBIT_MQ_HOST, RABBIT_MQ_PORT) start_time = time.time() while True: # wait for rabbitmq try: self.connection = pika.BlockingConnection(parameters) break except: print('Cannot connect yet, sleeping 5 seconds.') time.sleep(5) if time.time() - start_time > 60: print('Could not connect after 30 seconds.') exit(1) self.channel = self.connection.channel() result = self.channel.queue_declare(queue='', exclusive=True) self.callback_queue = result.method.queue self.channel.basic_consume( queue=self.callback_queue, on_message_callback=self.on_response, auto_ack=True) def on_response(self, ch, method, props, body): if self.corr_id == props.correlation_id: self.response = body def call(self, static_data): self.response = None self.corr_id = str(uuid.uuid4()) self.channel.basic_publish( exchange='', routing_key='ClusterCombinemanager', properties=pika.BasicProperties( reply_to=self.callback_queue, correlation_id=self.corr_id, ), body=json.dumps(static_data, cls=NumpyEncoder)) while self.response is None: self.connection.process_data_events() return self.response class rabbit_client_ModelComb(object): def __init__(self ): credentials = pika.PlainCredentials('admin', 'admin') parameters = pika.ConnectionParameters(RABBIT_MQ_HOST, RABBIT_MQ_PORT) start_time = time.time() while True: # wait for rabbitmq try: self.connection = pika.BlockingConnection(parameters) break except: print('Cannot connect yet, sleeping 5 seconds.') time.sleep(5) if time.time() - start_time > 60: print('Could not connect after 30 seconds.') exit(1) self.channel = self.connection.channel() result = self.channel.queue_declare(queue='', exclusive=True) self.callback_queue = result.method.queue self.channel.basic_consume( queue=self.callback_queue, on_message_callback=self.on_response, auto_ack=True) def on_response(self, ch, method, props, body): if self.corr_id == props.correlation_id: self.response = body def call(self, static_data): self.response = None self.corr_id = str(uuid.uuid4()) self.channel.basic_publish( exchange='', routing_key='ModelCombinemanager', properties=pika.BasicProperties( reply_to=self.callback_queue, correlation_id=self.corr_id, ), body=json.dumps(static_data, cls=NumpyEncoder)) while self.response is None: self.connection.process_data_events() return self.response class rabbit_client_Proba(object): def __init__(self ): credentials = pika.PlainCredentials('admin', 'admin') parameters = pika.ConnectionParameters(RABBIT_MQ_HOST, RABBIT_MQ_PORT) start_time = time.time() while True: # wait for rabbitmq try: self.connection = pika.BlockingConnection(parameters) break except: print('Cannot connect yet, sleeping 5 seconds.') time.sleep(5) if time.time() - start_time > 60: print('Could not connect after 30 seconds.') exit(1) self.channel = self.connection.channel() result = self.channel.queue_declare(queue='', exclusive=True) self.callback_queue = result.method.queue self.channel.basic_consume( queue=self.callback_queue, on_message_callback=self.on_response, auto_ack=True) def on_response(self, ch, method, props, body): if self.corr_id == props.correlation_id: self.response = body def call(self, static_data): self.response = None self.corr_id = str(uuid.uuid4()) self.channel.basic_publish( exchange='', routing_key='Probamanager', properties=pika.BasicProperties( reply_to=self.callback_queue, correlation_id=self.corr_id, ), body=json.dumps(static_data, cls=NumpyEncoder)) while self.response is None: self.connection.process_data_events() return self.response
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7
df4f45269c4a0b3aaac31a25a7b3490c14c7c5f8
122
py
Python
language-python-test/test/features/bytestrings/raw_bytestring_v3.py
wbadart/language-python
6c048c215ff7fe4a5d5cc36ba3c17a666af74821
[ "BSD-3-Clause" ]
null
null
null
language-python-test/test/features/bytestrings/raw_bytestring_v3.py
wbadart/language-python
6c048c215ff7fe4a5d5cc36ba3c17a666af74821
[ "BSD-3-Clause" ]
null
null
null
language-python-test/test/features/bytestrings/raw_bytestring_v3.py
wbadart/language-python
6c048c215ff7fe4a5d5cc36ba3c17a666af74821
[ "BSD-3-Clause" ]
null
null
null
br'hello \n world' br"hello \n world" br"""hello \n world""" rb'hello \n world' rb"hello \n world" rb"""hello \n world"""
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12
df7d3e9f9d7268dcfe16bf2c28fb9f28d0884a62
550
py
Python
venv/lib/python3.8/site-packages/keras/api/_v2/keras/preprocessing/text/__init__.py
JIANG-CX/data_labeling
8d2470bbb537dfc09ed2f7027ed8ee7de6447248
[ "MIT" ]
1
2021-05-24T10:08:51.000Z
2021-05-24T10:08:51.000Z
venv/lib/python3.8/site-packages/keras/api/_v2/keras/preprocessing/text/__init__.py
JIANG-CX/data_labeling
8d2470bbb537dfc09ed2f7027ed8ee7de6447248
[ "MIT" ]
null
null
null
venv/lib/python3.8/site-packages/keras/api/_v2/keras/preprocessing/text/__init__.py
JIANG-CX/data_labeling
8d2470bbb537dfc09ed2f7027ed8ee7de6447248
[ "MIT" ]
null
null
null
# This file is MACHINE GENERATED! Do not edit. # Generated by: tensorflow/python/tools/api/generator/create_python_api.py script. """Public API for tf.keras.preprocessing.text namespace. """ from __future__ import print_function as _print_function import sys as _sys from keras.preprocessing.text import one_hot from keras.preprocessing.text import text_to_word_sequence from keras_preprocessing.text import Tokenizer from keras_preprocessing.text import hashing_trick from keras_preprocessing.text import tokenizer_from_json del _print_function
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7
802556c7cf331c35a09798277a1fcd7e225e09e6
217,039
py
Python
kenken.py
jei3di/KenKen
ed0dee391a9f4edd8a0185ffa5498c173b35c072
[ "MIT" ]
null
null
null
kenken.py
jei3di/KenKen
ed0dee391a9f4edd8a0185ffa5498c173b35c072
[ "MIT" ]
null
null
null
kenken.py
jei3di/KenKen
ed0dee391a9f4edd8a0185ffa5498c173b35c072
[ "MIT" ]
null
null
null
#José Daniel Delgado Segura #2015001500 #21-05-2015 #Programa 2 - Pasatiempo Aritmético KenKen #————————————————————————————————————————————————————————————————————————centrar————————————————————————————————————————————————————————————————————————# def centrar(ventana): #Centra la ventana que se abre. Todas las WIN la utilizan. Tomada de internet. ventana.update_idletasks() w=ventana.winfo_width() h=ventana.winfo_height() extraW=ventana.winfo_screenwidth()-w extraH=ventana.winfo_screenheight()-h ventana.geometry("%dx%d%+d%+d" % (w,h,extraW/2,extraH/2)) #——————————————————————————————————————————————————————————————————————Fin centrar——————————————————————————————————————————————————————————————————————# #——————————————————————————————————————————————————————————————————————Ventana Jugar————————————————————————————————————————————————————————————————————# def FN_WIN_jugar (): s = 0 m = 0 h = 0 WIN_menú.withdraw() WIN_configurar.withdraw() WIN_validar_completo.withdraw() global WIN_jugar global LBL_segundos global BTN_pausa global BTN_iniciar global BTN_menú_jugar global BTN_validar global BTN_reiniciar global BTN_terminar global TXT_nombre global nombre global default_horas global default_minutos global default_segundos WIN_jugar = Toplevel() LBL_segundos = Label BTN_menú_jugar = BTN_pausa = BTN_iniciar = BTN_validar = BTN_reiniciar = BTN_terminar = Button TXT_nombre = Entry nombre = StringVar() nombre.set("Nombre") WIN_jugar.protocol("WM_DELETE_WINDOW", lambda : WIN_jugar.destroy()) WIN_jugar.geometry("1000x600") WIN_jugar.title("Juego KENKEN") WIN_jugar.resizable(width = FALSE, height = FALSE) centrar (WIN_jugar) cuadrícula() TXT_nombre = Entry(WIN_jugar, textvariable = nombre, width = 20, font = ("Helvetica Neue", 15, "bold")) TXT_nombre.place(x = 760, y = 120) LBL_título = Label(WIN_jugar, text = "KenKen",font = ("Helvetica Neue", 20, "bold")).place(x = 320, y = 10) LBL_horas = Label(WIN_jugar, text = "Horas", font = ("Helvetica Neue", 13)).place(x = 768, y = 20) LBL_minutos = Label(WIN_jugar, text = "Minutos", font = ("Helvetica Neue", 13)).place(x = 825, y = 20) LBL_segundos = Label(WIN_jugar, text = "Segundos", font = ("Helvetica Neue", 13)).place(x = 891, y = 20) LBL_iniciar = Label(WIN_jugar, text = "Iniciar", font = ("Helvetica Neue", 13, "bold")).place(x = 782, y = 233) LBL_terminar = Label(WIN_jugar, text = "Terminar", font = ("Helvetica Neue", 13, "bold")).place(x = 880, y = 233) LBL_otro = Label(WIN_jugar, text = "Otro", font = ("Helvetica Neue", 13, "bold")).place(x = 787, y = 343) LBL_reiniciar = Label(WIN_jugar, text = "Reiniciar", font = ("Helvetica Neue", 13, "bold")).place(x = 886, y = 343) LBL_validar = Label(WIN_jugar, text = "Validar", font = ("Helvetica Neue", 13, "bold")) LBL_validar.place(x = 780, y = 453) LBL_top10 = Label(WIN_jugar, text = "Top 10", font = ("Helvetica Neue", 13, "bold")) LBL_top10.place(x = 889, y = 453) LBL_menú = Label(WIN_jugar, text = "Menú", font = ("Helvetica Neue", 13, "bold")) LBL_menú.place(x = 842, y = 571) BTN_iniciar = Button(WIN_jugar, image = IMG_BTN_WIN_jugar_iniciar, height = 65, width = 65, borderwidth = 0, command = FN_iniciar) BTN_iniciar.place (x = 775, y = 165) BTN_terminar = Button(WIN_jugar, image = IMG_BTN_WIN_jugar_terminar, height = 65, width = 65, borderwidth = 0, command = FN_terminar) BTN_terminar.place (x = 885, y = 165) BTN_otro = Button(WIN_jugar, image = IMG_BTN_WIN_jugar_otro, height = 65, width = 65, borderwidth = 0, command = lambda : FN_otro("otro")) BTN_otro.place (x = 775, y = 275) BTN_reiniciar = Button(WIN_jugar, image = IMG_BTN_WIN_jugar_reiniciar, height = 65, width = 65, borderwidth = 0, command = FN_reiniciar) BTN_reiniciar.place (x = 885, y = 275) BTN_validar = Button(WIN_jugar, image = IMG_BTN_WIN_jugar_validar, height = 65, width = 65, borderwidth = 0, command = FN_validar) BTN_validar.place (x = 775, y = 385) BTN_top10 = Button(WIN_jugar, image = IMG_BTN_WIN_jugar_top10, height = 65, width = 65, borderwidth = 0, command = WIN_top10) BTN_top10.place (x = 885, y = 385) BTN_menú_jugar = Button(WIN_jugar, image = IMG_BTN_menú, height = 65, width = 65, borderwidth = 0, command = menú_volver) BTN_menú_jugar.place (x = 832, y = 495) if validar_completo_respuesta.get() == 1: BTN_validar_completo = Button(WIN_jugar, image = IMG_BTN_WIN_validar_completo, height = 65, width = 65, borderwidth = 0, command = FN_validar_completo) BTN_validar_completo.place (x = 885, y = 385) BTN_menú_jugar.place (x = 775, y = 495) BTN_top10.place (x = 885, y = 495) LBL_validar_completo = Label(WIN_jugar, text = "Validar\ncompleto", font = ("Helvetica Neue", 13, "bold")) LBL_validar_completo.place(x = 882, y = 453) LBL_validar.place(x = 780, y = 453) LBL_top10.place(x = 889, y = 562) LBL_menú.place(x = 785, y = 562) if int(reloj_selec.get()) == 0: LBL_horas = Label(WIN_jugar, text = "Horas", font = ("Helvetica Neue", 13)).place(x = 768, y = 20) LBL_minutos = Label(WIN_jugar, text = "Minutos", font = ("Helvetica Neue", 13)).place(x = 825, y = 20) LBL_segundos = Label(WIN_jugar, text = "Segundos", font = ("Helvetica Neue", 13)).place(x = 891, y = 20) time.sleep(0.40) LBL_clock = Label(WIN_jugar, text = " "+"0"+str(h) + " " + "0"+str(m) + " " + "0"+str(s)+" ", font = ("Helvetica Neue", 16)).place(x = 774, y = 44) BTN_pausa = Button(WIN_jugar, height = 1, width = 5, text = "Pausa", borderwidth = 1, font = ("Helvetica Neue", 16), command = FN_pausa, state = DISABLED) BTN_pausa.place (x = 830, y = 75) elif int(reloj_selec.get()) == 2: h = int(default_horas.get()) m = int(default_minutos.get()) s = int(default_segundos.get()) default_horas.set(h) default_minutos.set(m) default_segundos.set(s) SPNBX_horas = Spinbox(WIN_jugar, width = 2, font = ("Helvetica Neue", 12), from_ = 0, to = 3, textvariable = default_horas, wrap = True).place(x = 775, y = 44) SPNBX_minutos = Spinbox(WIN_jugar, width = 2, font = ("Helvetica Neue", 12), from_ = 0, to = 59, textvariable = default_minutos, wrap = True).place(x = 840, y = 44) SPNBX_segundos = Spinbox(WIN_jugar, width = 2, font = ("Helvetica Neue", 12), from_ = 0, to = 59, textvariable = default_segundos, wrap = True).place(x = 915, y = 44) BTN_pausa = Button(WIN_jugar, height = 1, width = 5, text = "Pausa", borderwidth = 1, font = ("Helvetica Neue", 16), command = FN_pausa, state = DISABLED) BTN_pausa.place (x = 830, y = 75) #———————————————————————————————————————————————————————————————Clock——————————————————————————————————————————————————————————————# def FN_THRDs (): terminar = False THRD_FN_WIN_jugar = Thread (target = FN_WIN_jugar, args = ()) THRD_FN_WIN_jugar.start() def FN_iniciar (): global iniciado iniciado = True global terminar terminar = False BTN_menú_jugar.config(state = DISABLED) if nombre.get() == "Nombre" or len(nombre.get()) < 3 or len(nombre.get()) > 30: messagebox.showerror("Error en el nombre", "Debe ingresar un nombre correcto antes de iniciar (3 a 40 caracteres).") return BTN_pausa.config (state = NORMAL) BTN_iniciar.config(state = DISABLED) TXT_nombre.config(state = DISABLED) sel = nivel_selec.get() if sel == 33: lista_btn = [BTN_23,BTN_24,BTN_25,BTN_33,BTN_34,BTN_35,BTN_43,BTN_44,BTN_45] for i in lista_btn: i.config(state = NORMAL) elif sel == 44: lista_btn = [BTN_23,BTN_24,BTN_25,BTN_33,BTN_34,BTN_35,BTN_43,BTN_44,BTN_45,BTN_22,BTN_32,BTN_42,BTN_52,BTN_53,BTN_54,BTN_55] for i in lista_btn: i.config(state = NORMAL) elif sel == 55: lista_btn = [BTN_26,BTN_36,BTN_46,BTN_56,BTN_62,BTN_63,BTN_64,BTN_65,BTN_66,BTN_23,BTN_24,BTN_25,BTN_33,BTN_34,BTN_35,BTN_43,BTN_44,BTN_45,BTN_22,BTN_32,BTN_42,BTN_52,BTN_53,BTN_54,BTN_55] for i in lista_btn: i.config(state = NORMAL) elif sel == 0: lista_btn = [BTN_11,BTN_12,BTN_13,BTN_14,BTN_15,BTN_16,BTN_21,BTN_31,BTN_41,BTN_51,BTN_61, BTN_26,BTN_36,BTN_46,BTN_56,BTN_62,BTN_63,BTN_64,BTN_65,BTN_66,BTN_23,BTN_24,BTN_25,BTN_33,BTN_34,BTN_35,BTN_43,BTN_44,BTN_45,BTN_22,BTN_32,BTN_42,BTN_52,BTN_53,BTN_54,BTN_55] for i in lista_btn: i.config(state = NORMAL) elif sel == 77: lista_btn = [BTN_17,BTN_27,BTN_37,BTN_47,BTN_57,BTN_67,BTN_71,BTN_72,BTN_73,BTN_74,BTN_75,BTN_76,BTN_77,BTN_11,BTN_12,BTN_13,BTN_14,BTN_15,BTN_16,BTN_21,BTN_31,BTN_41,BTN_51,BTN_61, BTN_26,BTN_36,BTN_46,BTN_56,BTN_62,BTN_63,BTN_64,BTN_65,BTN_66,BTN_23,BTN_24,BTN_25,BTN_33,BTN_34,BTN_35,BTN_43,BTN_44,BTN_45,BTN_22,BTN_32,BTN_42,BTN_52,BTN_53,BTN_54,BTN_55] for i in lista_btn: i.config(state = NORMAL) elif sel == 88: lista_btn = [BTN_00,BTN_01,BTN_02,BTN_03,BTN_04,BTN_05,BTN_06,BTN_07,BTN_10,BTN_20,BTN_30,BTN_40,BTN_50,BTN_60,BTN_70,BTN_17,BTN_27,BTN_37,BTN_47,BTN_57,BTN_67,BTN_71,BTN_72,BTN_73,BTN_74,BTN_75,BTN_76,BTN_77,BTN_11,BTN_12,BTN_13,BTN_14,BTN_15,BTN_16,BTN_21,BTN_31,BTN_41,BTN_51,BTN_61, BTN_26,BTN_36,BTN_46,BTN_56,BTN_62,BTN_63,BTN_64,BTN_65,BTN_66,BTN_23,BTN_24,BTN_25,BTN_33,BTN_34,BTN_35,BTN_43,BTN_44,BTN_45,BTN_22,BTN_32,BTN_42,BTN_52,BTN_53,BTN_54,BTN_55] for i in lista_btn: i.config(state = NORMAL) elif sel == 99: lista_btn = [BTN_00,BTN_01,BTN_02,BTN_03,BTN_04,BTN_05,BTN_06,BTN_07,BTN_08,BTN_10,BTN_11,BTN_12,BTN_13,BTN_14,BTN_15,BTN_16,BTN_17,BTN_18,BTN_20,BTN_21,BTN_22,BTN_23,BTN_24,BTN_25,BTN_26,BTN_27,BTN_28,BTN_30,BTN_31,BTN_32,BTN_33,BTN_34,BTN_35,BTN_36,BTN_37,BTN_38,BTN_40,BTN_41,BTN_42,BTN_43,BTN_44,BTN_45,BTN_46,BTN_47,BTN_48,BTN_50,BTN_51,BTN_52,BTN_53,BTN_54,BTN_55,BTN_56,BTN_57,BTN_58,BTN_60,BTN_61,BTN_62,BTN_63,BTN_64,BTN_65,BTN_66,BTN_67,BTN_68,BTN_70,BTN_71,BTN_72,BTN_73,BTN_74,BTN_75,BTN_76,BTN_77,BTN_78,BTN_80,BTN_81,BTN_82,BTN_83,BTN_84,BTN_85,BTN_86,BTN_87,BTN_88] for i in lista_btn: i.config(state = NORMAL) if int(reloj_selec.get()) == 0: THRD_clock = Thread (target = clock, args = ()) THRD_clock.start() elif int(reloj_selec.get()) == 2: THRD_FN_timer = Thread(target = FN_timer, args = ()) THRD_FN_timer.start() def FN_pausa (): global pausa if pausa == False: pausa = True else: pausa = False def clock(): global h global m global s global clock_estado clock_estado = True if default_horas.get() == "": h = 0 if default_minutos.get() == "": m = 0 if default_segundos.get() == "": s = 0 else: h = int(default_horas.get()) m = int(default_minutos.get()) s = int(default_segundos.get()) while h <= 23: if terminar == True: LBL_clock = Label(WIN_jugar, text = " "+"0"+ "0" + " " + "0"+ "0" + " " + "0"+ "0" +" ", font = ("Helvetica Neue", 16)).place(x = 774, y = 44) return if pausa == False: #Comprueba que no haya una señal de pausa. Si es False no lo hay. time.sleep(0.99) s += 1 if m == 59 and s == 60: h += 1 m = 0 s = 0 elif s == 60: m += 1 s = 0 if s < 10 and m < 10 and h < 10: LBL_segundos = Label(WIN_jugar, text = " "+"0"+str(h) + " " + "0"+str(m) + " " + "0"+str(s)+" ", font = ("Helvetica Neue", 16)).place(x = 774, y = 44) elif s >= 10 and m < 10 and h < 10: LBL_segundos = Label(WIN_jugar, text = " "+"0"+str(h) + " " + "0"+str(m) + " " + str(s)+" ", font = ("Helvetica Neue", 16)).place(x = 774, y = 44) elif s >= 10 and m >= 10 and h < 10: LBL_segundos = Label(WIN_jugar, text = " "+"0"+str(h) + " " + str(m) + " " + str(s)+" ", font = ("Helvetica Neue", 16)).place(x = 774, y = 44) elif s < 10 and m < 10 and h >= 10: LBL_segundos = Label(WIN_jugar, text = " "+str(h) + " " + "0"+str(m) + " " + "0"+str(s)+" ", font = ("Helvetica Neue", 16)).place(x = 774, y = 44) elif s < 10 and m >= 10 and h >= 10: LBL_segundos = Label(WIN_jugar, text = " "+str(h) + " " + str(m) + " " + "0"+str(s)+" ", font = ("Helvetica Neue", 16)).place(x = 774, y = 44) elif s < 10 and m >= 10 and h < 10: LBL_segundos = Label(WIN_jugar, text = " "+"0"+str(h) + " " + str(m) + " " + "0"+str(s)+" ", font = ("Helvetica Neue", 16)).place(x = 774, y = 44) else: LBL_segundos = Label(WIN_jugar, text = " "+str(h) + " " + str(m) + " " + str(s)+" ", font = ("Helvetica Neue", 16)).place(x = 774, y = 44) if h == 23 and m == 59 and s == 59: break messagebox.showinfo("Fin","Fin del juego, límite de reloj alcanzado.") #—————————————————————————————————————————————————————————————Fin Clock————————————————————————————————————————————————————————————# #————————————————————————————————————————————————————————————Cuadrícula————————————————————————————————————————————————————————————# def cuadrícula(): sel = nivel_selec.get() global BTN_00 global BTN_01 global BTN_02 global BTN_03 global BTN_04 global BTN_05 global BTN_06 global BTN_07 global BTN_08 global BTN_10 global BTN_11 global BTN_12 global BTN_13 global BTN_14 global BTN_15 global BTN_16 global BTN_17 global BTN_18 global BTN_20 global BTN_21 global BTN_22 global BTN_23 global BTN_24 global BTN_25 global BTN_26 global BTN_27 global BTN_28 global BTN_30 global BTN_31 global BTN_32 global BTN_33 global BTN_34 global BTN_35 global BTN_36 global BTN_37 global BTN_38 global BTN_40 global BTN_41 global BTN_42 global BTN_43 global BTN_44 global BTN_45 global BTN_46 global BTN_47 global BTN_48 global BTN_50 global BTN_51 global BTN_52 global BTN_53 global BTN_54 global BTN_55 global BTN_56 global BTN_57 global BTN_58 global BTN_60 global BTN_61 global BTN_62 global BTN_63 global BTN_64 global BTN_65 global BTN_66 global BTN_67 global BTN_68 global BTN_70 global BTN_71 global BTN_72 global BTN_73 global BTN_74 global BTN_75 global BTN_76 global BTN_77 global BTN_78 global BTN_80 global BTN_81 global BTN_82 global BTN_83 global BTN_84 global BTN_85 global BTN_86 global BTN_87 global BTN_88 global BTN_num1 global BTN_num2 global BTN_num3 global BTN_num4 global BTN_num5 global BTN_num6 global BTN_num7 global BTN_num8 global BTN_num9 global BTN_borrar BTN_00=BTN_01=BTN_02=BTN_03=BTN_04=BTN_05=BTN_06=BTN_07=BTN_08=BTN_10=BTN_11=BTN_12=BTN_13=BTN_14=BTN_15=BTN_16=BTN_17=BTN_18=BTN_20=BTN_21=BTN_22=BTN_23=BTN_24=BTN_25=BTN_26=BTN_27=BTN_28=BTN_30=BTN_31=BTN_32=BTN_33=BTN_34=BTN_35=BTN_36=BTN_37=BTN_38=BTN_40=BTN_41=BTN_42=BTN_43=BTN_44=BTN_45=BTN_46=BTN_47=BTN_48=BTN_50=BTN_51=BTN_52=BTN_53=BTN_54=BTN_55=BTN_56=BTN_57=BTN_58 = Button BTN_60=BTN_61=BTN_62=BTN_63=BTN_64=BTN_65=BTN_66=BTN_67=BTN_68=BTN_70=BTN_71=BTN_72=BTN_73=BTN_74=BTN_75=BTN_76=BTN_77=BTN_78=BTN_80=BTN_81=BTN_82=BTN_83=BTN_84=BTN_85=BTN_86=BTN_87=BTN_88=BTN_90=BTN_91=BTN_92=BTN_93=BTN_94=BTN_95=BTN_96=BTN_97=BTN_98=BTN_num1=BTN_num2=BTN_num3=BTN_num4=BTN_num5=BTN_num6=BTN_num7=BTN_num8=BTN_num9=BTN_borrar = Button BTN_num1 = Button(WIN_jugar, height = 50, width = 50, image = IMG_BTN_num1, borderwidth = 0, command = lambda : FN_add("1")) BTN_num2 = Button(WIN_jugar, height = 50, width = 50, image = IMG_BTN_num2, borderwidth = 0, command = lambda : FN_add("2")) BTN_num3 = Button(WIN_jugar, height = 50, width = 50, image = IMG_BTN_num3, borderwidth = 0, command = lambda : FN_add("3")) BTN_num4 = Button(WIN_jugar, height = 50, width = 50, image = IMG_BTN_num4, borderwidth = 0, command = lambda : FN_add("4")) BTN_num5 = Button(WIN_jugar, height = 50, width = 50, image = IMG_BTN_num5, borderwidth = 0, command = lambda : FN_add("5")) BTN_num6 = Button(WIN_jugar, height = 50, width = 50, image = IMG_BTN_num6, borderwidth = 0, command = lambda : FN_add("6")) BTN_num7 = Button(WIN_jugar, height = 50, width = 50, image = IMG_BTN_num7, borderwidth = 0, command = lambda : FN_add("7")) BTN_num8 = Button(WIN_jugar, height = 50, width = 50, image = IMG_BTN_num8, borderwidth = 0, command = lambda : FN_add("8")) BTN_num9 = Button(WIN_jugar, height = 50, width = 50, image = IMG_BTN_num9, borderwidth = 0, command = lambda : FN_add("9")) BTN_borrar = Button(WIN_jugar, image = IMG_BTN_WIN_jugar_borrar, height = 65, width = 65, borderwidth = 0, command = FN_borrar) if sel == 33 or sel == 44 or sel == 55 or sel == 0 or sel == 77 or sel == 88 or sel == 99: BTN_23 = Button(WIN_jugar, height = 2, width = 5, bg = "white", font = ("Helvetica Neue", 12, "bold"), borderwidth = 2, command = lambda : FN_BTNS("23"), state = DISABLED) BTN_23.place (x = 285, y = 164) BTN_24 = Button(WIN_jugar, height = 2, width = 5, bg = "white", font = (("Helvetica Neue", 12, "bold")), borderwidth = 2, command = lambda : FN_BTNS("24"), state = DISABLED) BTN_24.place (x = 345, y = 164) BTN_25 = Button(WIN_jugar, height = 2, width = 5, bg = "white", font = (("Helvetica Neue", 12, "bold")), borderwidth = 2, command = lambda : FN_BTNS("25"), state = DISABLED) BTN_25.place (x = 405, y = 164) BTN_33 = Button(WIN_jugar, height = 2, width = 5, bg = "white", font = ("Helvetica Neue", 12, "bold"), borderwidth = 2, command = lambda : FN_BTNS("33"), state = DISABLED) BTN_33.place (x = 285, y = 216) BTN_34 = Button(WIN_jugar, height = 2, width = 5, bg = "white", font = (("Helvetica Neue", 12, "bold")), borderwidth = 2, command = lambda : FN_BTNS("34"), state = DISABLED) BTN_34.place (x = 345, y = 216) BTN_35 = Button(WIN_jugar, height = 2, width = 5, bg = "white", font = (("Helvetica Neue", 12, "bold")), borderwidth = 2, command = lambda : FN_BTNS("35"), state = DISABLED) BTN_35.place (x = 405, y = 216) BTN_43 = Button(WIN_jugar, height = 2, width = 5, bg = "white", font = ("Helvetica Neue", 12, "bold"), borderwidth = 2, command = lambda : FN_BTNS("43"), state = DISABLED) BTN_43.place (x = 285, y = 268) BTN_44 = Button(WIN_jugar, height = 2, width = 5, bg = "white", font = (("Helvetica Neue", 12, "bold")), borderwidth = 2, command = lambda : FN_BTNS("44"), state = DISABLED) BTN_44.place (x = 345, y = 268) BTN_45 = Button(WIN_jugar, height = 2, width = 5, bg = "white", font = (("Helvetica Neue", 12, "bold")), borderwidth = 2, command = lambda : FN_BTNS("45"), state = DISABLED) BTN_45.place (x = 405, y = 268) if lado_selec.get() == 0: BTN_num1.place (x = 680, y = 30) BTN_num2.place (x = 680, y = 90) BTN_num3.place (x = 680, y = 150) BTN_borrar.place (x = 677, y = 220) else: BTN_num1.place (x = 20, y = 30) BTN_num2.place (x = 20, y = 90) BTN_num3.place (x = 20, y = 150) BTN_borrar.place (x = 17, y = 220) if sel == 44 or sel == 55 or sel == 0 or sel == 77 or sel == 88 or sel == 99: BTN_22 = Button(WIN_jugar, height = 2, width = 5, bg = "white", font = ("Helvetica Neue", 12, "bold"), borderwidth = 2, command = lambda : FN_BTNS("22"), state = DISABLED) BTN_22.place (x = 225, y = 164) BTN_32 = Button(WIN_jugar, height = 2, width = 5, bg = "white", font = ("Helvetica Neue", 12, "bold"), borderwidth = 2, command = lambda : FN_BTNS("32"), state = DISABLED) BTN_32.place (x = 225, y = 216) BTN_42 = Button(WIN_jugar, height = 2, width = 5, bg = "white", font = ("Helvetica Neue", 12, "bold"), borderwidth = 2, command = lambda : FN_BTNS("42"), state = DISABLED) BTN_42.place (x = 225, y = 268) BTN_52 = Button(WIN_jugar, height = 2, width = 5, bg = "white", font = ("Helvetica Neue", 12, "bold"), borderwidth = 2, command = lambda : FN_BTNS("52"), state = DISABLED) BTN_52.place (x = 225, y = 320) BTN_53 = Button(WIN_jugar, height = 2, width = 5, bg = "white", font = ("Helvetica Neue", 12, "bold"), borderwidth = 2, command = lambda : FN_BTNS("53"), state = DISABLED) BTN_53.place (x = 285, y = 320) BTN_54 = Button(WIN_jugar, height = 2, width = 5, bg = "white", font = (("Helvetica Neue", 12, "bold")), borderwidth = 2, command = lambda : FN_BTNS("54"), state = DISABLED) BTN_54.place (x = 345, y = 320) BTN_55 = Button(WIN_jugar, height = 2, width = 5, bg = "white", font = (("Helvetica Neue", 12, "bold")), borderwidth = 2, command = lambda : FN_BTNS("55"), state = DISABLED) BTN_55.place (x = 405, y = 320) if lado_selec.get() == 0: BTN_num4.place (x = 680, y = 210) BTN_borrar.place (x = 677, y = 280) else: BTN_num4.place (x = 20, y = 210) BTN_borrar.place (x = 17, y = 280) if sel == 55 or sel == 0 or sel == 77 or sel == 88 or sel == 99: BTN_26 = Button(WIN_jugar, height = 2, width = 5, bg = "white", font = (("Helvetica Neue", 12, "bold")), borderwidth = 2, command = lambda : FN_BTNS("26"), state = DISABLED) BTN_26.place (x = 465, y = 164) BTN_36 = Button(WIN_jugar, height = 2, width = 5, bg = "white", font = (("Helvetica Neue", 12, "bold")), borderwidth = 2, command = lambda : FN_BTNS("36"), state = DISABLED) BTN_36.place (x = 465, y = 216) BTN_46 = Button(WIN_jugar, height = 2, width = 5, bg = "white", font = (("Helvetica Neue", 12, "bold")), borderwidth = 2, command = lambda : FN_BTNS("46"), state = DISABLED) BTN_46.place (x = 465, y = 268) BTN_56 = Button(WIN_jugar, height = 2, width = 5, bg = "white", font = (("Helvetica Neue", 12, "bold")), borderwidth = 2, command = lambda : FN_BTNS("56"), state = DISABLED) BTN_56.place (x = 465, y = 320) BTN_62 = Button(WIN_jugar, height = 2, width = 5, bg = "white", font = ("Helvetica Neue", 12, "bold"), borderwidth = 2, command = lambda : FN_BTNS("62"), state = DISABLED) BTN_62.place (x = 225, y = 372) BTN_63 = Button(WIN_jugar, height = 2, width = 5, bg = "white", font = ("Helvetica Neue", 12, "bold"), borderwidth = 2, command = lambda : FN_BTNS("63"), state = DISABLED) BTN_63.place (x = 285, y = 372) BTN_64 = Button(WIN_jugar, height = 2, width = 5, bg = "white", font = (("Helvetica Neue", 12, "bold")), borderwidth = 2, command = lambda : FN_BTNS("64"), state = DISABLED) BTN_64.place (x = 345, y = 372) BTN_65 = Button(WIN_jugar, height = 2, width = 5, bg = "white", font = (("Helvetica Neue", 12, "bold")), borderwidth = 2, command = lambda : FN_BTNS("65"), state = DISABLED) BTN_65.place (x = 405, y = 372) BTN_66 = Button(WIN_jugar, height = 2, width = 5, bg = "white", font = (("Helvetica Neue", 12, "bold")), borderwidth = 2, command = lambda : FN_BTNS("66"), state = DISABLED) BTN_66.place (x = 465, y = 372) if lado_selec.get() == 0: BTN_num5.place (x = 680, y = 270) BTN_borrar.place (x = 677, y = 340) else: BTN_num5.place (x = 20, y = 270) BTN_borrar.place (x = 17, y = 340) if sel == 0 or sel == 77 or sel == 88 or sel == 99: BTN_11 = Button(WIN_jugar, height = 2, width = 5, bg = "white", font = ("Helvetica Neue", 12, "bold"), borderwidth = 2, command = lambda : FN_BTNS("11"), state = DISABLED) BTN_11.place (x = 165, y = 112) BTN_12 = Button(WIN_jugar, height = 2, width = 5, bg = "white", font = ("Helvetica Neue", 12, "bold"), borderwidth = 2, command = lambda : FN_BTNS("12"), state = DISABLED) BTN_12.place (x = 225, y = 112) BTN_13 = Button(WIN_jugar, height = 2, width = 5, bg = "white", font = ("Helvetica Neue", 12, "bold"), borderwidth = 2, command = lambda : FN_BTNS("13"), state = DISABLED) BTN_13.place (x = 285, y = 112) BTN_14 = Button(WIN_jugar, height = 2, width = 5, bg = "white", font = (("Helvetica Neue", 12, "bold")), borderwidth = 2, command = lambda : FN_BTNS("14"), state = DISABLED) BTN_14.place (x = 345, y = 112) BTN_15 = Button(WIN_jugar, height = 2, width = 5, bg = "white", font = (("Helvetica Neue", 12, "bold")), borderwidth = 2, command = lambda : FN_BTNS("15"), state = DISABLED) BTN_15.place (x = 405, y = 112) BTN_16 = Button(WIN_jugar, height = 2, width = 5, bg = "white", font = (("Helvetica Neue", 12, "bold")), borderwidth = 2, command = lambda : FN_BTNS("16"), state = DISABLED) BTN_16.place (x = 465, y = 112) BTN_21 = Button(WIN_jugar, height = 2, width = 5, bg = "white", font = ("Helvetica Neue", 12, "bold"), borderwidth = 2, command = lambda : FN_BTNS("21"), state = DISABLED) BTN_21.place (x = 165, y = 164) BTN_31 = Button(WIN_jugar, height = 2, width = 5, bg = "white", font = ("Helvetica Neue", 12, "bold"), borderwidth = 2, command = lambda : FN_BTNS("31"), state = DISABLED) BTN_31.place (x = 165, y = 216) BTN_41 = Button(WIN_jugar, height = 2, width = 5, bg = "white", font = ("Helvetica Neue", 12, "bold"), borderwidth = 2, command = lambda : FN_BTNS("41"), state = DISABLED) BTN_41.place (x = 165, y = 268) BTN_51 = Button(WIN_jugar, height = 2, width = 5, bg = "white", font = ("Helvetica Neue", 12, "bold"), borderwidth = 2, command = lambda : FN_BTNS("51"), state = DISABLED) BTN_51.place (x = 165, y = 320) BTN_61 = Button(WIN_jugar, height = 2, width = 5, bg = "white", font = ("Helvetica Neue", 12, "bold"), borderwidth = 2, command = lambda : FN_BTNS("61"), state = DISABLED) BTN_61.place (x = 165, y = 372) if lado_selec.get() == 0: BTN_num6.place (x = 680, y = 330) BTN_borrar.place (x = 677, y = 400) else: BTN_num6.place (x = 20, y = 330) BTN_borrar.place (x = 17, y = 400) if sel == 77 or sel == 88 or sel == 99: BTN_17 = Button(WIN_jugar, height = 2, width = 5, bg = "white", font = (("Helvetica Neue", 12, "bold")), borderwidth = 2, command = lambda : FN_BTNS("17"), state = DISABLED) BTN_17.place (x = 525, y = 112) BTN_27 = Button(WIN_jugar, height = 2, width = 5, bg = "white", font = (("Helvetica Neue", 12, "bold")), borderwidth = 2, command = lambda : FN_BTNS("27"), state = DISABLED) BTN_27.place (x = 525, y = 164) BTN_37 = Button(WIN_jugar, height = 2, width = 5, bg = "white", font = (("Helvetica Neue", 12, "bold")), borderwidth = 2, command = lambda : FN_BTNS("37"), state = DISABLED) BTN_37.place (x = 525, y = 216) BTN_47 = Button(WIN_jugar, height = 2, width = 5, bg = "white", font = (("Helvetica Neue", 12, "bold")), borderwidth = 2, command = lambda : FN_BTNS("47"), state = DISABLED) BTN_47.place (x = 525, y = 268) BTN_57 = Button(WIN_jugar, height = 2, width = 5, bg = "white", font = (("Helvetica Neue", 12, "bold")), borderwidth = 2, command = lambda : FN_BTNS("57"), state = DISABLED) BTN_57.place (x = 525, y = 320) BTN_67 = Button(WIN_jugar, height = 2, width = 5, bg = "white", font = (("Helvetica Neue", 12, "bold")), borderwidth = 2, command = lambda : FN_BTNS("67"), state = DISABLED) BTN_67.place (x = 525, y = 372) BTN_71 = Button(WIN_jugar, height = 2, width = 5, bg = "white", font = ("Helvetica Neue", 12, "bold"), borderwidth = 2, command = lambda : FN_BTNS("71"), state = DISABLED) BTN_71.place (x = 165, y = 424) BTN_72 = Button(WIN_jugar, height = 2, width = 5, bg = "white", font = ("Helvetica Neue", 12, "bold"), borderwidth = 2, command = lambda : FN_BTNS("72"), state = DISABLED) BTN_72.place (x = 225, y = 424) BTN_73 = Button(WIN_jugar, height = 2, width = 5, bg = "white", font = ("Helvetica Neue", 12, "bold"), borderwidth = 2, command = lambda : FN_BTNS("73"), state = DISABLED) BTN_73.place (x = 285, y = 424) BTN_74 = Button(WIN_jugar, height = 2, width = 5, bg = "white", font = (("Helvetica Neue", 12, "bold")), borderwidth = 2, command = lambda : FN_BTNS("74"), state = DISABLED) BTN_74.place (x = 345, y = 424) BTN_75 = Button(WIN_jugar, height = 2, width = 5, bg = "white", font = (("Helvetica Neue", 12, "bold")), borderwidth = 2, command = lambda : FN_BTNS("75"), state = DISABLED) BTN_75.place (x = 405, y = 424) BTN_76 = Button(WIN_jugar, height = 2, width = 5, bg = "white", font = (("Helvetica Neue", 12, "bold")), borderwidth = 2, command = lambda : FN_BTNS("76"), state = DISABLED) BTN_76.place (x = 465, y = 424) BTN_77 = Button(WIN_jugar, height = 2, width = 5, bg = "white", font = (("Helvetica Neue", 12, "bold")), borderwidth = 2, command = lambda : FN_BTNS("77"), state = DISABLED) BTN_77.place (x = 525, y = 424) if lado_selec.get() == 0: BTN_num7.place (x = 680, y = 390) BTN_borrar.place (x = 677, y = 460) else: BTN_num7.place (x = 20, y = 390) BTN_borrar.place (x = 17, y = 460) if sel == 88 or sel == 99: BTN_00 = Button(WIN_jugar, height = 2, width = 5, bg = "white", font = ("Helvetica Neue", 12, "bold"), borderwidth = 2, command = lambda : FN_BTNS("00"), state = DISABLED) BTN_00.place (x = 105, y = 60) BTN_01 = Button(WIN_jugar, height = 2, width = 5, bg = "white", font = (("Helvetica Neue", 12, "bold")), borderwidth = 2, command = lambda : FN_BTNS("01"), state = DISABLED) BTN_01.place (x = 165, y = 60) BTN_02 = Button(WIN_jugar, height = 2, width = 5, bg = "white", font = (("Helvetica Neue", 12, "bold")), borderwidth = 2, command = lambda : FN_BTNS("02"), state = DISABLED) BTN_02.place (x = 225, y = 60) BTN_03 = Button(WIN_jugar, height = 2, width = 5, bg = "white", font = (("Helvetica Neue", 12, "bold")), borderwidth = 2, command = lambda : FN_BTNS("03"), state = DISABLED) BTN_03.place (x = 285, y = 60) BTN_04 = Button(WIN_jugar, height = 2, width = 5, bg = "white", font = (("Helvetica Neue", 12, "bold")), borderwidth = 2, command = lambda : FN_BTNS("04"), state = DISABLED) BTN_04.place (x = 345, y = 60) BTN_05 = Button(WIN_jugar, height = 2, width = 5, bg = "white", font = (("Helvetica Neue", 12, "bold")), borderwidth = 2, command = lambda : FN_BTNS("05"), state = DISABLED) BTN_05.place (x = 405, y = 60) BTN_06 = Button(WIN_jugar, height = 2, width = 5, bg = "white", font = (("Helvetica Neue", 12, "bold")), borderwidth = 2, command = lambda : FN_BTNS("06"), state = DISABLED) BTN_06.place (x = 465, y = 60) BTN_07 = Button(WIN_jugar, height = 2, width = 5, bg = "white", font = (("Helvetica Neue", 12, "bold")), borderwidth = 2, command = lambda : FN_BTNS("07"), state = DISABLED) BTN_07.place (x = 525, y = 60) BTN_10 = Button(WIN_jugar, height = 2, width = 5, bg = "white", font = ("Helvetica Neue", 12, "bold"), borderwidth = 2, command = lambda : FN_BTNS("10"), state = DISABLED) BTN_10.place (x = 105, y = 112) BTN_20 = Button(WIN_jugar, height = 2, width = 5, bg = "white", font = ("Helvetica Neue", 12, "bold"), borderwidth = 2, command = lambda : FN_BTNS("20"), state = DISABLED) BTN_20.place (x = 105, y = 164) BTN_30 = Button(WIN_jugar, height = 2, width = 5, bg = "white", font = ("Helvetica Neue", 12, "bold"), borderwidth = 2, command = lambda : FN_BTNS("30"), state = DISABLED) BTN_30.place (x = 105, y = 216) BTN_40 = Button(WIN_jugar, height = 2, width = 5, bg = "white", font = ("Helvetica Neue", 12, "bold"), borderwidth = 2, command = lambda : FN_BTNS("40"), state = DISABLED) BTN_40.place (x = 105, y = 268) BTN_50 = Button(WIN_jugar, height = 2, width = 5, bg = "white", font = ("Helvetica Neue", 12, "bold"), borderwidth = 2, command = lambda : FN_BTNS("50"), state = DISABLED) BTN_50.place (x = 105, y = 320) BTN_60 = Button(WIN_jugar, height = 2, width = 5, bg = "white", font = ("Helvetica Neue", 12, "bold"), borderwidth = 2, command = lambda : FN_BTNS("60"), state = DISABLED) BTN_60.place (x = 105, y = 372) BTN_70 = Button(WIN_jugar, height = 2, width = 5, bg = "white", font = ("Helvetica Neue", 12, "bold"), borderwidth = 2, command = lambda : FN_BTNS("70"), state = DISABLED) BTN_70.place (x = 105, y = 424) if lado_selec.get() == 0: BTN_num8.place (x = 680, y = 450) BTN_borrar.place (x = 677, y = 520) else: BTN_num8.place (x = 20, y = 450) BTN_borrar.place (x = 17, y = 520) if sel == 99: BTN_08 = Button(WIN_jugar, height = 2, width = 5, bg = "white", font = (("Helvetica Neue", 12, "bold")), borderwidth = 2, command = lambda : FN_BTNS("08"), state = DISABLED) BTN_08.place (x = 585, y = 60) BTN_18 = Button(WIN_jugar, height = 2, width = 5, bg = "white", font = (("Helvetica Neue", 12, "bold")), borderwidth = 2, command = lambda : FN_BTNS("18"), state = DISABLED) BTN_18.place (x = 585, y = 112) BTN_28 = Button(WIN_jugar, height = 2, width = 5, bg = "white", font = (("Helvetica Neue", 12, "bold")), borderwidth = 2, command = lambda : FN_BTNS("28"), state = DISABLED) BTN_28.place (x = 585, y = 164) BTN_38 = Button(WIN_jugar, height = 2, width = 5, bg = "white", font = (("Helvetica Neue", 12, "bold")), borderwidth = 2, command = lambda : FN_BTNS("38"), state = DISABLED) BTN_38.place (x = 585, y = 216) BTN_48 = Button(WIN_jugar, height = 2, width = 5, bg = "white", font = (("Helvetica Neue", 12, "bold")), borderwidth = 2, command = lambda : FN_BTNS("48"), state = DISABLED) BTN_48.place (x = 585, y = 268) BTN_58 = Button(WIN_jugar, height = 2, width = 5, bg = "white", font = (("Helvetica Neue", 12, "bold")), borderwidth = 2, command = lambda : FN_BTNS("58"), state = DISABLED) BTN_58.place (x = 585, y = 320) BTN_68 = Button(WIN_jugar, height = 2, width = 5, bg = "white", font = (("Helvetica Neue", 12, "bold")), borderwidth = 2, command = lambda : FN_BTNS("68"), state = DISABLED) BTN_68.place (x = 585, y = 372) BTN_78 = Button(WIN_jugar, height = 2, width = 5, bg = "white", font = (("Helvetica Neue", 12, "bold")), borderwidth = 2, command = lambda : FN_BTNS("78"), state = DISABLED) BTN_78.place (x = 585, y = 424) BTN_80 = Button(WIN_jugar, height = 2, width = 5, bg = "white", font = ("Helvetica Neue", 12, "bold"), borderwidth = 2, command = lambda : FN_BTNS("80"), state = DISABLED) BTN_80.place (x = 105, y = 476) BTN_81 = Button(WIN_jugar, height = 2, width = 5, bg = "white", font = ("Helvetica Neue", 12, "bold"), borderwidth = 2, command = lambda : FN_BTNS("81"), state = DISABLED) BTN_81.place (x = 165, y = 476) BTN_82 = Button(WIN_jugar, height = 2, width = 5, bg = "white", font = ("Helvetica Neue", 12, "bold"), borderwidth = 2, command = lambda : FN_BTNS("82"), state = DISABLED) BTN_82.place (x = 225, y = 476) BTN_83 = Button(WIN_jugar, height = 2, width = 5, bg = "white", font = ("Helvetica Neue", 12, "bold"), borderwidth = 2, command = lambda : FN_BTNS("83"), state = DISABLED) BTN_83.place (x = 285, y = 476) BTN_84 = Button(WIN_jugar, height = 2, width = 5, bg = "white", font = (("Helvetica Neue", 12, "bold")), borderwidth = 2, command = lambda : FN_BTNS("84"), state = DISABLED) BTN_84.place (x = 345, y = 476) BTN_85 = Button(WIN_jugar, height = 2, width = 5, bg = "white", font = (("Helvetica Neue", 12, "bold")), borderwidth = 2, command = lambda : FN_BTNS("85"), state = DISABLED) BTN_85.place (x = 405, y = 476) BTN_86 = Button(WIN_jugar, height = 2, width = 5, bg = "white", font = (("Helvetica Neue", 12, "bold")), borderwidth = 2, command = lambda : FN_BTNS("86"), state = DISABLED) BTN_86.place (x = 465, y = 476) BTN_87 = Button(WIN_jugar, height = 2, width = 5, bg = "white", font = (("Helvetica Neue", 12, "bold")), borderwidth = 2, command = lambda : FN_BTNS("87"), state = DISABLED) BTN_87.place (x = 525, y = 476) BTN_88 = Button(WIN_jugar, height = 2, width = 5, bg = "white", font = (("Helvetica Neue", 12, "bold")), borderwidth = 2, command = lambda : FN_BTNS("88"), state = DISABLED) BTN_88.place (x = 585, y = 476) if lado_selec.get() == 0: BTN_num9.place (x = 680, y = 510) BTN_borrar.place (x = 585, y = 530) else: BTN_num9.place (x = 20, y = 510) BTN_borrar.place (x = 100, y = 530) cuadrícula_color() def FN_juegos_probables(índice, lista_completa): global elegido global juegos_probables global juego_num if juego_num == 0: juegos_probables = [] contador = 0 for i in lista_completa[índice]: juegos_probables.append(contador) contador += 1 elegido = random.choice(juegos_probables) juegos_probables.remove(elegido) elif otro_juego == True: elegido = random.choice(juegos_probables) juegos_probables.remove(elegido) return elegido def cuadrícula_color(): TXT_cuadrículas = open("kenken_juegos.dat","r") TXT_cuadrículas_read = TXT_cuadrículas.read() string = "[" lista_completa = [] lista_nivel = [] lista_juego = [] contador = 0 contador_nivel = 0 TXT_operaciones = open("Operaciones.txt","r") TXT_operaciones_leer = TXT_operaciones.read() string2 = "[" lista_completa2 = [] lista_nivel2 = [] contador_nivel2 = 0 global juego_num global lst_juego_validar global lst_validar global lst_operaciones global juego_num global últ_btn global lst_colores global otro_juego lst_colores = ["HotPink", "BlueViolet", "Sienna", "DarkGreen", "DarkMagenta", "DarkKhaki", "MediumSlateBlue", "SeaGreen", "LightSlateGrey", "Indigo", "Teal", "Olive", "LightSalmon", "Lime", "Orchid", "ForestGreen", "Gold", "MediumAquaMarine", "CadetBlue", "DarkGrey", "MediumVioletRed", "Magenta", "Plum", "Navy", "SpringGreen", "SkyBlue", "DarkOrange", "SandyBrown", "MediumBlue", "SaddleBrown", "RoyalBlue", "Tomato", "Brown", "RosyBrown", "SteelBlue", "BurlyWood", "DodgerBlue", "OrangeRed", "Khaki", "GreenYellow"] índ_color = 0 contador_lst_colores = 0 sel = nivel_selec.get() contador_for = 0 if sel == 33: índice = 0 elif sel == 44: índice = 1 elif sel == 55: índice = 2 elif sel == 0: índice = 3 elif sel == 77: índice = 4 elif sel == 88: índice = 5 elif sel == 99: índice = 6 for i in TXT_cuadrículas_read: if i != "[" and i != "]": string += i contador_control = 1 elif i == "]" and contador_control != 0: string += i lista_nivel.append(eval(string)) string = "[" contador_nivel += 1 if contador_nivel == 4: lista_completa.append(lista_nivel) lista_nivel = [] contador_nivel = 0 contador_control = 0 if juego_num == 0 or otro_juego == True: elegido = FN_juegos_probables(índice, lista_completa) lst_juego_validar = lista_completa[índice][elegido] lst_validar = [] lst_temporal = [] for r in lista_completa[índice][elegido]: for z in r: lst_temporal.append("") lst_validar.append(lst_temporal) lst_temporal = [] for y in TXT_operaciones_leer: if y != "[" and y != "]": string2 += y contador_control = 1 elif y == "]" and contador_control != 0: string2 += y lista_nivel2.append(eval(string2)) string2 = "[" contador_nivel2 += 1 if contador_nivel2 == 4: lista_completa2.append(lista_nivel2) lista_nivel2 = [] contador_nivel2 = 0 contador_control = 0 lst_operaciones = lista_completa2[índice][elegido] elif juego_num != 0 and pausa == True: FN_pausa () for j in lst_juego_validar: contador_for += 1 if len(lst_colores) - índ_color == 1: índ_color = 0 for f in j: if sel == 33: lista_nom = ["23","24","25","33","34","35","43","44","45"] lista_btn = [BTN_23,BTN_24,BTN_25,BTN_33,BTN_34,BTN_35,BTN_43,BTN_44,BTN_45] for p in lista_nom: if str(f) == p and str(f) != but_press: índ_nom = lista_nom.index(p) elem_btn = lista_btn[índ_nom] elem_btn.config(bg = lst_colores[índ_color], relief = RAISED) if juego_num == 0 and contador_for == 1: operaciones(str(f), lst_colores[índ_color], lst_operaciones[contador_lst_colores]) contador_lst_colores += 1 contador_for = 0 elif contador_for == 1 and otro_juego == True: operaciones(str(f), lst_colores[índ_color], lst_operaciones[contador_lst_colores]) contador_lst_colores += 1 contador_for = 0 elif sel == 44: lista_nom = ["23","24","25","33","34","35","43","44","45","22","32","42","52","53","54","55"] lista_btn = [BTN_23,BTN_24,BTN_25,BTN_33,BTN_34,BTN_35,BTN_43,BTN_44,BTN_45,BTN_22,BTN_32,BTN_42,BTN_52,BTN_53,BTN_54,BTN_55] for p in lista_nom: if str(f) == p and str(f) != but_press: índ_nom = lista_nom.index(p) elem_btn = lista_btn[índ_nom] elem_btn.config(bg = lst_colores[índ_color], relief = RAISED) if juego_num == 0 and contador_for == 1: operaciones(str(f), lst_colores[índ_color], lst_operaciones[contador_lst_colores]) contador_lst_colores += 1 contador_for = 0 elif contador_for == 1 and otro_juego == True: operaciones(str(f), lst_colores[índ_color], lst_operaciones[contador_lst_colores]) contador_lst_colores += 1 contador_for = 0 elif sel == 55: lista_nom = ["26","36","46","56","62","63","64","65","66","23","24","25","33","34","35","43","44","45","22","32","42","52","53","54","55"] lista_btn = [BTN_26,BTN_36,BTN_46,BTN_56,BTN_62,BTN_63,BTN_64,BTN_65,BTN_66,BTN_23,BTN_24,BTN_25,BTN_33,BTN_34,BTN_35,BTN_43,BTN_44,BTN_45,BTN_22,BTN_32,BTN_42,BTN_52,BTN_53,BTN_54,BTN_55] for p in lista_nom: if str(f) == p and str(f) != but_press: índ_nom = lista_nom.index(p) elem_btn = lista_btn[índ_nom] elem_btn.config(bg = lst_colores[índ_color], relief = RAISED) if juego_num == 0 and contador_for == 1: operaciones(str(f), lst_colores[índ_color], lst_operaciones[contador_lst_colores]) contador_lst_colores += 1 contador_for = 0 elif contador_for == 1 and otro_juego == True: operaciones(str(f), lst_colores[índ_color], lst_operaciones[contador_lst_colores]) contador_lst_colores += 1 contador_for = 0 elif sel == 0: lista_nom = ["11","12","13","14","15","16","21","31","41","51","61","26","36","46","56","62","63","64","65","66","23","24","25","33","34","35","43","44","45","22","32","42","52","53","54","55"] lista_btn = [BTN_11,BTN_12,BTN_13,BTN_14,BTN_15,BTN_16,BTN_21,BTN_31,BTN_41,BTN_51,BTN_61, BTN_26,BTN_36,BTN_46,BTN_56,BTN_62,BTN_63,BTN_64,BTN_65,BTN_66,BTN_23,BTN_24,BTN_25,BTN_33,BTN_34,BTN_35,BTN_43,BTN_44,BTN_45,BTN_22,BTN_32,BTN_42,BTN_52,BTN_53,BTN_54,BTN_55] for p in lista_nom: if str(f) == p and str(f) != but_press: índ_nom = lista_nom.index(p) elem_btn = lista_btn[índ_nom] elem_btn.config(bg = lst_colores[índ_color], relief = RAISED) if juego_num == 0 and contador_for == 1: operaciones(str(f), lst_colores[índ_color], lst_operaciones[contador_lst_colores]) contador_lst_colores += 1 contador_for = 0 elif contador_for == 1 and otro_juego == True: operaciones(str(f), lst_colores[índ_color], lst_operaciones[contador_lst_colores]) contador_lst_colores += 1 contador_for = 0 elif sel == 77: lista_nom = ["17","27","37","47","57","67","71","72","73","74","75","76","77","11","12","13","14","15","16","21","31","41","51","61","26","36","46","56","62","63","64","65","66","23","24","25","33","34","35","43","44","45","22","32","42","52","53","54","55"] lista_btn = [BTN_17,BTN_27,BTN_37,BTN_47,BTN_57,BTN_67,BTN_71,BTN_72,BTN_73,BTN_74,BTN_75,BTN_76,BTN_77,BTN_11,BTN_12,BTN_13,BTN_14,BTN_15,BTN_16,BTN_21,BTN_31,BTN_41,BTN_51,BTN_61, BTN_26,BTN_36,BTN_46,BTN_56,BTN_62,BTN_63,BTN_64,BTN_65,BTN_66,BTN_23,BTN_24,BTN_25,BTN_33,BTN_34,BTN_35,BTN_43,BTN_44,BTN_45,BTN_22,BTN_32,BTN_42,BTN_52,BTN_53,BTN_54,BTN_55] for p in lista_nom: if str(f) == p and str(f) != but_press: índ_nom = lista_nom.index(p) elem_btn = lista_btn[índ_nom] elem_btn.config(bg = lst_colores[índ_color], relief = RAISED) if juego_num == 0 and contador_for == 1: operaciones(str(f), lst_colores[índ_color], lst_operaciones[contador_lst_colores]) contador_lst_colores += 1 contador_for = 0 elif contador_for == 1 and otro_juego == True: operaciones(str(f), lst_colores[índ_color], lst_operaciones[contador_lst_colores]) contador_lst_colores += 1 contador_for = 0 elif sel == 88: lista_nom = ["00","01","02","03","04","05","06","07","10","20","30","40","50","60","70","17","27","37","47","57","67","71","72","73","74","75","76","77","11","12","13","14","15","16","21","31","41","51","61","26","36","46","56","62","63","64","65","66","23","24","25","33","34","35","43","44","45","22","32","42","52","53","54","55"] lista_btn = [BTN_00,BTN_01,BTN_02,BTN_03,BTN_04,BTN_05,BTN_06,BTN_07,BTN_10,BTN_20,BTN_30,BTN_40,BTN_50,BTN_60,BTN_70,BTN_17,BTN_27,BTN_37,BTN_47,BTN_57,BTN_67,BTN_71,BTN_72,BTN_73,BTN_74,BTN_75,BTN_76,BTN_77,BTN_11,BTN_12,BTN_13,BTN_14,BTN_15,BTN_16,BTN_21,BTN_31,BTN_41,BTN_51,BTN_61, BTN_26,BTN_36,BTN_46,BTN_56,BTN_62,BTN_63,BTN_64,BTN_65,BTN_66,BTN_23,BTN_24,BTN_25,BTN_33,BTN_34,BTN_35,BTN_43,BTN_44,BTN_45,BTN_22,BTN_32,BTN_42,BTN_52,BTN_53,BTN_54,BTN_55] for p in lista_nom: if str(f) == p and str(f) != but_press: índ_nom = lista_nom.index(p) elem_btn = lista_btn[índ_nom] elem_btn.config(bg = lst_colores[índ_color], relief = RAISED) if juego_num == 0 and contador_for == 1: operaciones(str(f), lst_colores[índ_color], lst_operaciones[contador_lst_colores]) contador_lst_colores += 1 contador_for = 0 elif contador_for == 1 and otro_juego == True: operaciones(str(f), lst_colores[índ_color], lst_operaciones[contador_lst_colores]) contador_lst_colores += 1 contador_for = 0 elif sel == 99: lista_nom = ["00","01","02","03","04","05","06","07","08","10","11","12","13","14","15","16","17","18","20","21","22","23","24","25","26","27","28","30","31","32","33","34","35","36","37","38","40","41","42","43","44","45","46","47","48","50","51","52","53","54","55","56","57","58","60","61","62","63","64","65","66","67","68","70","71","72","73","74","75","76","77","78","80","81","82","83","84","85","86","87","88"] lista_btn = [BTN_00,BTN_01,BTN_02,BTN_03,BTN_04,BTN_05,BTN_06,BTN_07,BTN_08,BTN_10,BTN_11,BTN_12,BTN_13,BTN_14,BTN_15,BTN_16,BTN_17,BTN_18,BTN_20,BTN_21,BTN_22,BTN_23,BTN_24,BTN_25,BTN_26,BTN_27,BTN_28,BTN_30,BTN_31,BTN_32,BTN_33,BTN_34,BTN_35,BTN_36,BTN_37,BTN_38,BTN_40,BTN_41,BTN_42,BTN_43,BTN_44,BTN_45,BTN_46,BTN_47,BTN_48,BTN_50,BTN_51,BTN_52,BTN_53,BTN_54,BTN_55,BTN_56,BTN_57,BTN_58,BTN_60,BTN_61,BTN_62,BTN_63,BTN_64,BTN_65,BTN_66,BTN_67,BTN_68,BTN_70,BTN_71,BTN_72,BTN_73,BTN_74,BTN_75,BTN_76,BTN_77,BTN_78,BTN_80,BTN_81,BTN_82,BTN_83,BTN_84,BTN_85,BTN_86,BTN_87,BTN_88] for p in lista_nom: if str(f) == p and str(f) != but_press: índ_nom = lista_nom.index(p) elem_btn = lista_btn[índ_nom] elem_btn.config(bg = lst_colores[índ_color], relief = RAISED) if juego_num == 0 and contador_for == 1: operaciones(str(f), lst_colores[índ_color], lst_operaciones[contador_lst_colores]) contador_lst_colores += 1 contador_for = 0 elif contador_for == 1 and otro_juego == True: operaciones(str(f), lst_colores[índ_color], lst_operaciones[contador_lst_colores]) contador_lst_colores += 1 contador_for = 0 índ_color += 1 contador_lst_colores = 0 juego_num += 1 def operaciones(casilla, color, operación): sel = nivel_selec.get() #operación = "1+" if sel == 33 or sel == 44 or sel == 55 or sel == 0 or sel == 77 or sel == 88 or sel == 99: if casilla == "23": LBL_operación = Label(WIN_jugar, text = operación, font = ("Helvetica Neue", 8, "bold"), bg = color, fg = "White").place(x = 286, y = 165) elif casilla == "24": LBL_operación = Label(WIN_jugar, text = operación, font = ("Helvetica Neue", 8, "bold"), bg = color, fg = "White").place(x = 346, y = 165) elif casilla == "25": LBL_operación = Label(WIN_jugar, text = operación, font = ("Helvetica Neue", 8, "bold"), bg = color, fg = "White").place(x = 406, y = 165) elif casilla == "33": LBL_operación = Label(WIN_jugar, text = operación, font = ("Helvetica Neue", 8, "bold"), bg = color, fg = "White").place(x = 286, y = 217) elif casilla == "34": LBL_operación = Label(WIN_jugar, text = operación, font = ("Helvetica Neue", 8, "bold"), bg = color, fg = "White").place(x = 346, y = 217) elif casilla == "35": LBL_operación = Label(WIN_jugar, text = operación, font = ("Helvetica Neue", 8, "bold"), bg = color, fg = "White").place(x = 406, y = 217) elif casilla == "43": LBL_operación = Label(WIN_jugar, text = operación, font = ("Helvetica Neue", 8, "bold"), bg = color, fg = "White").place(x = 286, y = 269) elif casilla == "44": LBL_operación = Label(WIN_jugar, text = operación, font = ("Helvetica Neue", 8, "bold"), bg = color, fg = "White").place(x = 346, y = 269) elif casilla == "45": LBL_operación = Label(WIN_jugar, text = operación, font = ("Helvetica Neue", 8, "bold"), bg = color, fg = "White").place(x = 406, y = 269) if sel == 44 or sel == 55 or sel == 0 or sel == 77 or sel == 88 or sel == 99: if casilla == "22": LBL_operación = Label(WIN_jugar, text = operación, font = ("Helvetica Neue", 8, "bold"), bg = color, fg = "White").place(x = 226, y = 165) elif casilla == "32": LBL_operación = Label(WIN_jugar, text = operación, font = ("Helvetica Neue", 8, "bold"), bg = color, fg = "White").place(x = 226, y = 217) elif casilla == "42": LBL_operación = Label(WIN_jugar, text = operación, font = ("Helvetica Neue", 8, "bold"), bg = color, fg = "White").place(x = 226, y = 269) elif casilla == "52": LBL_operación = Label(WIN_jugar, text = operación, font = ("Helvetica Neue", 8, "bold"), bg = color, fg = "White").place(x = 226, y = 321) elif casilla == "53": LBL_operación = Label(WIN_jugar, text = operación, font = ("Helvetica Neue", 8, "bold"), bg = color, fg = "White").place(x = 286, y = 321) elif casilla == "54": LBL_operación = Label(WIN_jugar, text = operación, font = ("Helvetica Neue", 8, "bold"), bg = color, fg = "White").place(x = 346, y = 321) elif casilla == "55": LBL_operación = Label(WIN_jugar, text = operación, font = ("Helvetica Neue", 8, "bold"), bg = color, fg = "White").place(x = 406, y = 321) if sel == 55 or sel == 0 or sel == 77 or sel == 88 or sel == 99: if casilla == "26": LBL_operación = Label(WIN_jugar, text = operación, font = ("Helvetica Neue", 8, "bold"), bg = color, fg = "White").place(x = 466, y = 165) elif casilla == "36": LBL_operación = Label(WIN_jugar, text = operación, font = ("Helvetica Neue", 8, "bold"), bg = color, fg = "White").place(x = 466, y = 217) elif casilla == "46": LBL_operación = Label(WIN_jugar, text = operación, font = ("Helvetica Neue", 8, "bold"), bg = color, fg = "White").place(x = 466, y = 269) elif casilla == "56": LBL_operación = Label(WIN_jugar, text = operación, font = ("Helvetica Neue", 8, "bold"), bg = color, fg = "White").place(x = 466, y = 321) elif casilla == "62": LBL_operación = Label(WIN_jugar, text = operación, font = ("Helvetica Neue", 8, "bold"), bg = color, fg = "White").place(x = 226, y = 373) elif casilla == "63": LBL_operación = Label(WIN_jugar, text = operación, font = ("Helvetica Neue", 8, "bold"), bg = color, fg = "White").place(x = 286, y = 373) elif casilla == "64": LBL_operación = Label(WIN_jugar, text = operación, font = ("Helvetica Neue", 8, "bold"), bg = color, fg = "White").place(x = 346, y = 373) elif casilla == "65": LBL_operación = Label(WIN_jugar, text = operación, font = ("Helvetica Neue", 8, "bold"), bg = color, fg = "White").place(x = 406, y = 373) elif casilla == "66": LBL_operación = Label(WIN_jugar, text = operación, font = ("Helvetica Neue", 8, "bold"), bg = color, fg = "White").place(x = 466, y = 373) if sel == 0 or sel == 77 or sel == 88 or sel == 99: if casilla == "11": LBL_operación = Label(WIN_jugar, text = operación, font = ("Helvetica Neue", 8, "bold"), bg = color, fg = "White").place(x = 166, y = 113) elif casilla == "12": LBL_operación = Label(WIN_jugar, text = operación, font = ("Helvetica Neue", 8, "bold"), bg = color, fg = "White").place(x = 226, y = 113) elif casilla == "13": LBL_operación = Label(WIN_jugar, text = operación, font = ("Helvetica Neue", 8, "bold"), bg = color, fg = "White").place(x = 286, y = 113) elif casilla == "14": LBL_operación = Label(WIN_jugar, text = operación, font = ("Helvetica Neue", 8, "bold"), bg = color, fg = "White").place(x = 346, y = 113) elif casilla == "15": LBL_operación = Label(WIN_jugar, text = operación, font = ("Helvetica Neue", 8, "bold"), bg = color, fg = "White").place(x = 406, y = 113) elif casilla == "16": LBL_operación = Label(WIN_jugar, text = operación, font = ("Helvetica Neue", 8, "bold"), bg = color, fg = "White").place(x = 466, y = 113) elif casilla == "21": LBL_operación = Label(WIN_jugar, text = operación, font = ("Helvetica Neue", 8, "bold"), bg = color, fg = "White").place(x = 166, y = 165) elif casilla == "31": LBL_operación = Label(WIN_jugar, text = operación, font = ("Helvetica Neue", 8, "bold"), bg = color, fg = "White").place(x = 166, y = 217) elif casilla == "41": LBL_operación = Label(WIN_jugar, text = operación, font = ("Helvetica Neue", 8, "bold"), bg = color, fg = "White").place(x = 166, y = 269) elif casilla == "51": LBL_operación = Label(WIN_jugar, text = operación, font = ("Helvetica Neue", 8, "bold"), bg = color, fg = "White").place(x = 166, y = 321) elif casilla == "61": LBL_operación = Label(WIN_jugar, text = operación, font = ("Helvetica Neue", 8, "bold"), bg = color, fg = "White").place(x = 166, y = 373) if sel == 77 or sel == 88 or sel == 99: if casilla == "17": LBL_operación = Label(WIN_jugar, text = operación, font = ("Helvetica Neue", 8, "bold"), bg = color, fg = "White").place(x = 526, y = 113) elif casilla == "27": LBL_operación = Label(WIN_jugar, text = operación, font = ("Helvetica Neue", 8, "bold"), bg = color, fg = "White").place(x = 526, y = 165) elif casilla == "37": LBL_operación = Label(WIN_jugar, text = operación, font = ("Helvetica Neue", 8, "bold"), bg = color, fg = "White").place(x = 526, y = 217) elif casilla == "47": LBL_operación = Label(WIN_jugar, text = operación, font = ("Helvetica Neue", 8, "bold"), bg = color, fg = "White").place(x = 526, y = 269) elif casilla == "57": LBL_operación = Label(WIN_jugar, text = operación, font = ("Helvetica Neue", 8, "bold"), bg = color, fg = "White").place(x = 526, y = 321) elif casilla == "67": LBL_operación = Label(WIN_jugar, text = operación, font = ("Helvetica Neue", 8, "bold"), bg = color, fg = "White").place(x = 526, y = 373) elif casilla == "71": LBL_operación = Label(WIN_jugar, text = operación, font = ("Helvetica Neue", 8, "bold"), bg = color, fg = "White").place(x = 166, y = 425) elif casilla == "72": LBL_operación = Label(WIN_jugar, text = operación, font = ("Helvetica Neue", 8, "bold"), bg = color, fg = "White").place(x = 226, y = 425) elif casilla == "73": LBL_operación = Label(WIN_jugar, text = operación, font = ("Helvetica Neue", 8, "bold"), bg = color, fg = "White").place(x = 286, y = 425) elif casilla == "74": LBL_operación = Label(WIN_jugar, text = operación, font = ("Helvetica Neue", 8, "bold"), bg = color, fg = "White").place(x = 346, y = 425) elif casilla == "75": LBL_operación = Label(WIN_jugar, text = operación, font = ("Helvetica Neue", 8, "bold"), bg = color, fg = "White").place(x = 406, y = 425) elif casilla == "76": LBL_operación = Label(WIN_jugar, text = operación, font = ("Helvetica Neue", 8, "bold"), bg = color, fg = "White").place(x = 466, y = 425) elif casilla == "77": LBL_operación = Label(WIN_jugar, text = operación, font = ("Helvetica Neue", 8, "bold"), bg = color, fg = "White").place(x = 526, y = 425) if sel == 88 or sel == 99: if casilla == "00": LBL_operación = Label(WIN_jugar, text = operación, font = ("Helvetica Neue", 8, "bold"), bg = color, fg = "White").place(x = 106, y = 61) elif casilla == "01": LBL_operación = Label(WIN_jugar, text = operación, font = ("Helvetica Neue", 8, "bold"), bg = color, fg = "White").place(x = 166, y = 61) elif casilla == "02": LBL_operación = Label(WIN_jugar, text = operación, font = ("Helvetica Neue", 8, "bold"), bg = color, fg = "White").place(x = 226, y = 61) elif casilla == "03": LBL_operación = Label(WIN_jugar, text = operación, font = ("Helvetica Neue", 8, "bold"), bg = color, fg = "White").place(x = 286, y = 61) elif casilla == "04": LBL_operación = Label(WIN_jugar, text = operación, font = ("Helvetica Neue", 8, "bold"), bg = color, fg = "White").place(x = 346, y = 61) elif casilla == "05": LBL_operación = Label(WIN_jugar, text = operación, font = ("Helvetica Neue", 8, "bold"), bg = color, fg = "White").place(x = 406, y = 61) elif casilla == "06": LBL_operación = Label(WIN_jugar, text = operación, font = ("Helvetica Neue", 8, "bold"), bg = color, fg = "White").place(x = 466, y = 61) elif casilla == "07": LBL_operación = Label(WIN_jugar, text = operación, font = ("Helvetica Neue", 8, "bold"), bg = color, fg = "White").place(x = 526, y = 61) elif casilla == "10": LBL_operación = Label(WIN_jugar, text = operación, font = ("Helvetica Neue", 8, "bold"), bg = color, fg = "White").place(x = 106, y = 113) elif casilla == "20": LBL_operación = Label(WIN_jugar, text = operación, font = ("Helvetica Neue", 8, "bold"), bg = color, fg = "White").place(x = 106, y = 165) elif casilla == "30": LBL_operación = Label(WIN_jugar, text = operación, font = ("Helvetica Neue", 8, "bold"), bg = color, fg = "White").place(x = 106, y = 217) elif casilla == "40": LBL_operación = Label(WIN_jugar, text = operación, font = ("Helvetica Neue", 8, "bold"), bg = color, fg = "White").place(x = 106, y = 269) elif casilla == "50": LBL_operación = Label(WIN_jugar, text = operación, font = ("Helvetica Neue", 8, "bold"), bg = color, fg = "White").place(x = 106, y = 321) elif casilla == "60": LBL_operación = Label(WIN_jugar, text = operación, font = ("Helvetica Neue", 8, "bold"), bg = color, fg = "White").place(x = 106, y = 373) elif casilla == "70": LBL_operación = Label(WIN_jugar, text = operación, font = ("Helvetica Neue", 8, "bold"), bg = color, fg = "White").place(x = 106, y = 425) if sel == 99: if casilla == "08": LBL_operación = Label(WIN_jugar, text = operación, font = ("Helvetica Neue", 8, "bold"), bg = color, fg = "White").place(x = 586, y = 61) elif casilla == "18": LBL_operación = Label(WIN_jugar, text = operación, font = ("Helvetica Neue", 8, "bold"), bg = color, fg = "White").place(x = 586, y = 113) elif casilla == "28": LBL_operación = Label(WIN_jugar, text = operación, font = ("Helvetica Neue", 8, "bold"), bg = color, fg = "White").place(x = 586, y = 165) elif casilla == "38": LBL_operación = Label(WIN_jugar, text = operación, font = ("Helvetica Neue", 8, "bold"), bg = color, fg = "White").place(x = 586, y = 217) elif casilla == "48": LBL_operación = Label(WIN_jugar, text = operación, font = ("Helvetica Neue", 8, "bold"), bg = color, fg = "White").place(x = 586, y = 269) elif casilla == "58": LBL_operación = Label(WIN_jugar, text = operación, font = ("Helvetica Neue", 8, "bold"), bg = color, fg = "White").place(x = 586, y = 321) elif casilla == "68": LBL_operación = Label(WIN_jugar, text = operación, font = ("Helvetica Neue", 8, "bold"), bg = color, fg = "White").place(x = 586, y = 373) elif casilla == "78": LBL_operación = Label(WIN_jugar, text = operación, font = ("Helvetica Neue", 8, "bold"), bg = color, fg = "White").place(x = 586, y = 425) elif casilla == "80": LBL_operación = Label(WIN_jugar, text = operación, font = ("Helvetica Neue", 8, "bold"), bg = color, fg = "White").place(x = 106, y = 477) elif casilla == "81": LBL_operación = Label(WIN_jugar, text = operación, font = ("Helvetica Neue", 8, "bold"), bg = color, fg = "White").place(x = 166, y = 477) elif casilla == "82": LBL_operación = Label(WIN_jugar, text = operación, font = ("Helvetica Neue", 8, "bold"), bg = color, fg = "White").place(x = 226, y = 477) elif casilla == "83": LBL_operación = Label(WIN_jugar, text = operación, font = ("Helvetica Neue", 8, "bold"), bg = color, fg = "White").place(x = 286, y = 477) elif casilla == "84": LBL_operación = Label(WIN_jugar, text = operación, font = ("Helvetica Neue", 8, "bold"), bg = color, fg = "White").place(x = 346, y = 477) elif casilla == "85": LBL_operación = Label(WIN_jugar, text = operación, font = ("Helvetica Neue", 8, "bold"), bg = color, fg = "White").place(x = 406, y = 477) elif casilla == "86": LBL_operación = Label(WIN_jugar, text = operación, font = ("Helvetica Neue", 8, "bold"), bg = color, fg = "White").place(x = 466, y = 477) elif casilla == "87": LBL_operación = Label(WIN_jugar, text = operación, font = ("Helvetica Neue", 8, "bold"), bg = color, fg = "White").place(x = 526, y = 477) elif casilla == "88": LBL_operación = Label(WIN_jugar, text = operación, font = ("Helvetica Neue", 8, "bold"), bg = color, fg = "White").place(x = 586, y = 477) def validar (btn, num): global lst_validar lst_juego_validar índ_validar_lst_juego = 0 if num != "*": for i in lst_juego_validar: for j in i: if str(j) == str(btn): x = lst_juego_validar[índ_validar_lst_juego].index(j) lst_temporal_validar = lst_validar[índ_validar_lst_juego] lst_temporal_validar.insert(x, int(num)) lst_temporal_validar.pop(x + 1) return índ_validar_lst_juego += 1 else: for i in lst_juego_validar: for j in i: if str(j) == str(btn): x = lst_juego_validar[índ_validar_lst_juego].index(j) lst_temporal_validar = lst_validar[índ_validar_lst_juego] lst_temporal_validar.pop(x) lst_temporal_validar.insert(x, "") return índ_validar_lst_juego += 1 def FN_validar (): global iniciado global registrado global terminar if iniciado == False: messagebox.showerror("Error", "El juego no se ha iniciado.") return contador = 0 índ_operación = 0 lst_operación = [] r = 0 msg_error = False msg_terminar = True sel = nivel_selec.get() for i in lst_validar: #Inicia validación aritmética. contador = 0 for j in i: if j == "": contador = 1 lst_operación = [] break lst_operación.append(j) if contador == 0 and lst_operación != []: índice_validar = lst_validar[índ_operación] if lst_operaciones[índ_operación][-1] == "+": r_correcto = lst_operaciones[índ_operación][:-1] for t in lst_operación: r += t lst_operación = [] if int(r) != int(r_correcto): for j in lst_juego_validar[índ_operación]: if sel == 33: lista_nom = ["23","24","25","33","34","35","43","44","45"] lista_btn = [BTN_23,BTN_24,BTN_25,BTN_33,BTN_34,BTN_35,BTN_43,BTN_44,BTN_45] for p in lista_nom: if str(j) == p: índ_nom = lista_nom.index(p) elem_btn = lista_btn[índ_nom] elem_btn.config(bg = "Red") msg_error = True elif sel == 44: lista_nom = ["23","24","25","33","34","35","43","44","45","22","32","42","52","53","54","55"] lista_btn = [BTN_23,BTN_24,BTN_25,BTN_33,BTN_34,BTN_35,BTN_43,BTN_44,BTN_45,BTN_22,BTN_32,BTN_42,BTN_52,BTN_53,BTN_54,BTN_55] for p in lista_nom: if str(j) == p: índ_nom = lista_nom.index(p) elem_btn = lista_btn[índ_nom] elem_btn.config(bg = "Red") msg_error = True elif sel == 55: lista_nom = ["26","36","46","56","62","63","64","65","66","23","24","25","33","34","35","43","44","45","22","32","42","52","53","54","55"] lista_btn = [BTN_26,BTN_36,BTN_46,BTN_56,BTN_62,BTN_63,BTN_64,BTN_65,BTN_66,BTN_23,BTN_24,BTN_25,BTN_33,BTN_34,BTN_35,BTN_43,BTN_44,BTN_45,BTN_22,BTN_32,BTN_42,BTN_52,BTN_53,BTN_54,BTN_55] for p in lista_nom: if str(j) == p: índ_nom = lista_nom.index(p) elem_btn = lista_btn[índ_nom] elem_btn.config(bg = "Red") msg_error = True elif sel == 0: lista_nom = ["11","12","13","14","15","16","21","31","41","51","61","26","36","46","56","62","63","64","65","66","23","24","25","33","34","35","43","44","45","22","32","42","52","53","54","55"] lista_btn = [BTN_11,BTN_12,BTN_13,BTN_14,BTN_15,BTN_16,BTN_21,BTN_31,BTN_41,BTN_51,BTN_61, BTN_26,BTN_36,BTN_46,BTN_56,BTN_62,BTN_63,BTN_64,BTN_65,BTN_66,BTN_23,BTN_24,BTN_25,BTN_33,BTN_34,BTN_35,BTN_43,BTN_44,BTN_45,BTN_22,BTN_32,BTN_42,BTN_52,BTN_53,BTN_54,BTN_55] for p in lista_nom: if str(j) == p: índ_nom = lista_nom.index(p) elem_btn = lista_btn[índ_nom] elem_btn.config(bg = "Red") msg_error = True elif sel == 77: lista_nom = ["17","27","37","47","57","67","71","72","73","74","75","76","77","11","12","13","14","15","16","21","31","41","51","61","26","36","46","56","62","63","64","65","66","23","24","25","33","34","35","43","44","45","22","32","42","52","53","54","55"] lista_btn = [BTN_17,BTN_27,BTN_37,BTN_47,BTN_57,BTN_67,BTN_71,BTN_72,BTN_73,BTN_74,BTN_75,BTN_76,BTN_77,BTN_11,BTN_12,BTN_13,BTN_14,BTN_15,BTN_16,BTN_21,BTN_31,BTN_41,BTN_51,BTN_61, BTN_26,BTN_36,BTN_46,BTN_56,BTN_62,BTN_63,BTN_64,BTN_65,BTN_66,BTN_23,BTN_24,BTN_25,BTN_33,BTN_34,BTN_35,BTN_43,BTN_44,BTN_45,BTN_22,BTN_32,BTN_42,BTN_52,BTN_53,BTN_54,BTN_55] for p in lista_nom: if str(j) == p: índ_nom = lista_nom.index(p) elem_btn = lista_btn[índ_nom] elem_btn.config(bg = "Red") msg_error = True elif sel == 88: lista_nom = ["00","01","02","03","04","05","06","07","10","20","30","40","50","60","70","17","27","37","47","57","67","71","72","73","74","75","76","77","11","12","13","14","15","16","21","31","41","51","61","26","36","46","56","62","63","64","65","66","23","24","25","33","34","35","43","44","45","22","32","42","52","53","54","55"] lista_btn = [BTN_00,BTN_01,BTN_02,BTN_03,BTN_04,BTN_05,BTN_06,BTN_07,BTN_10,BTN_20,BTN_30,BTN_40,BTN_50,BTN_60,BTN_70,BTN_17,BTN_27,BTN_37,BTN_47,BTN_57,BTN_67,BTN_71,BTN_72,BTN_73,BTN_74,BTN_75,BTN_76,BTN_77,BTN_11,BTN_12,BTN_13,BTN_14,BTN_15,BTN_16,BTN_21,BTN_31,BTN_41,BTN_51,BTN_61, BTN_26,BTN_36,BTN_46,BTN_56,BTN_62,BTN_63,BTN_64,BTN_65,BTN_66,BTN_23,BTN_24,BTN_25,BTN_33,BTN_34,BTN_35,BTN_43,BTN_44,BTN_45,BTN_22,BTN_32,BTN_42,BTN_52,BTN_53,BTN_54,BTN_55] for p in lista_nom: if str(j) == p: índ_nom = lista_nom.index(p) elem_btn = lista_btn[índ_nom] elem_btn.config(bg = "Red") msg_error = True elif sel == 99: lista_nom = ["00","01","02","03","04","05","06","07","08","10","11","12","13","14","15","16","17","18","20","21","22","23","24","25","26","27","28","30","31","32","33","34","35","36","37","38","40","41","42","43","44","45","46","47","48","50","51","52","53","54","55","56","57","58","60","61","62","63","64","65","66","67","68","70","71","72","73","74","75","76","77","78","80","81","82","83","84","85","86","87","88"] lista_btn = [BTN_00,BTN_01,BTN_02,BTN_03,BTN_04,BTN_05,BTN_06,BTN_07,BTN_08,BTN_10,BTN_11,BTN_12,BTN_13,BTN_14,BTN_15,BTN_16,BTN_17,BTN_18,BTN_20,BTN_21,BTN_22,BTN_23,BTN_24,BTN_25,BTN_26,BTN_27,BTN_28,BTN_30,BTN_31,BTN_32,BTN_33,BTN_34,BTN_35,BTN_36,BTN_37,BTN_38,BTN_40,BTN_41,BTN_42,BTN_43,BTN_44,BTN_45,BTN_46,BTN_47,BTN_48,BTN_50,BTN_51,BTN_52,BTN_53,BTN_54,BTN_55,BTN_56,BTN_57,BTN_58,BTN_60,BTN_61,BTN_62,BTN_63,BTN_64,BTN_65,BTN_66,BTN_67,BTN_68,BTN_70,BTN_71,BTN_72,BTN_73,BTN_74,BTN_75,BTN_76,BTN_77,BTN_78,BTN_80,BTN_81,BTN_82,BTN_83,BTN_84,BTN_85,BTN_86,BTN_87,BTN_88] for p in lista_nom: if str(j) == p: índ_nom = lista_nom.index(p) elem_btn = lista_btn[índ_nom] elem_btn.config(bg = "Red") msg_error = True r = 0 elif lst_operaciones[índ_operación][-1] == "-": r_correcto = lst_operaciones[índ_operación][:-1] r = lst_operación[0] for t in lst_operación[1:]: r -= t lst_operación = [] if abs(r) != int(r_correcto): for j in lst_juego_validar[índ_operación]: if sel == 33: lista_nom = ["23","24","25","33","34","35","43","44","45"] lista_btn = [BTN_23,BTN_24,BTN_25,BTN_33,BTN_34,BTN_35,BTN_43,BTN_44,BTN_45] for p in lista_nom: if str(j) == p: índ_nom = lista_nom.index(p) elem_btn = lista_btn[índ_nom] elem_btn.config(bg = "Red") msg_error = True elif sel == 44: lista_nom = ["23","24","25","33","34","35","43","44","45","22","32","42","52","53","54","55"] lista_btn = [BTN_23,BTN_24,BTN_25,BTN_33,BTN_34,BTN_35,BTN_43,BTN_44,BTN_45,BTN_22,BTN_32,BTN_42,BTN_52,BTN_53,BTN_54,BTN_55] for p in lista_nom: if str(j) == p: índ_nom = lista_nom.index(p) elem_btn = lista_btn[índ_nom] elem_btn.config(bg = "Red") msg_error = True elif sel == 55: lista_nom = ["26","36","46","56","62","63","64","65","66","23","24","25","33","34","35","43","44","45","22","32","42","52","53","54","55"] lista_btn = [BTN_26,BTN_36,BTN_46,BTN_56,BTN_62,BTN_63,BTN_64,BTN_65,BTN_66,BTN_23,BTN_24,BTN_25,BTN_33,BTN_34,BTN_35,BTN_43,BTN_44,BTN_45,BTN_22,BTN_32,BTN_42,BTN_52,BTN_53,BTN_54,BTN_55] for p in lista_nom: if str(j) == p: índ_nom = lista_nom.index(p) elem_btn = lista_btn[índ_nom] elem_btn.config(bg = "Red") msg_error = True elif sel == 0: lista_nom = ["11","12","13","14","15","16","21","31","41","51","61","26","36","46","56","62","63","64","65","66","23","24","25","33","34","35","43","44","45","22","32","42","52","53","54","55"] lista_btn = [BTN_11,BTN_12,BTN_13,BTN_14,BTN_15,BTN_16,BTN_21,BTN_31,BTN_41,BTN_51,BTN_61, BTN_26,BTN_36,BTN_46,BTN_56,BTN_62,BTN_63,BTN_64,BTN_65,BTN_66,BTN_23,BTN_24,BTN_25,BTN_33,BTN_34,BTN_35,BTN_43,BTN_44,BTN_45,BTN_22,BTN_32,BTN_42,BTN_52,BTN_53,BTN_54,BTN_55] for p in lista_nom: if str(j) == p: índ_nom = lista_nom.index(p) elem_btn = lista_btn[índ_nom] elem_btn.config(bg = "Red") msg_error = True elif sel == 77: lista_nom = ["17","27","37","47","57","67","71","72","73","74","75","76","77","11","12","13","14","15","16","21","31","41","51","61","26","36","46","56","62","63","64","65","66","23","24","25","33","34","35","43","44","45","22","32","42","52","53","54","55"] lista_btn = [BTN_17,BTN_27,BTN_37,BTN_47,BTN_57,BTN_67,BTN_71,BTN_72,BTN_73,BTN_74,BTN_75,BTN_76,BTN_77,BTN_11,BTN_12,BTN_13,BTN_14,BTN_15,BTN_16,BTN_21,BTN_31,BTN_41,BTN_51,BTN_61, BTN_26,BTN_36,BTN_46,BTN_56,BTN_62,BTN_63,BTN_64,BTN_65,BTN_66,BTN_23,BTN_24,BTN_25,BTN_33,BTN_34,BTN_35,BTN_43,BTN_44,BTN_45,BTN_22,BTN_32,BTN_42,BTN_52,BTN_53,BTN_54,BTN_55] for p in lista_nom: if str(j) == p: índ_nom = lista_nom.index(p) elem_btn = lista_btn[índ_nom] elem_btn.config(bg = "Red") msg_error = True elif sel == 88: lista_nom = ["00","01","02","03","04","05","06","07","10","20","30","40","50","60","70","17","27","37","47","57","67","71","72","73","74","75","76","77","11","12","13","14","15","16","21","31","41","51","61","26","36","46","56","62","63","64","65","66","23","24","25","33","34","35","43","44","45","22","32","42","52","53","54","55"] lista_btn = [BTN_00,BTN_01,BTN_02,BTN_03,BTN_04,BTN_05,BTN_06,BTN_07,BTN_10,BTN_20,BTN_30,BTN_40,BTN_50,BTN_60,BTN_70,BTN_17,BTN_27,BTN_37,BTN_47,BTN_57,BTN_67,BTN_71,BTN_72,BTN_73,BTN_74,BTN_75,BTN_76,BTN_77,BTN_11,BTN_12,BTN_13,BTN_14,BTN_15,BTN_16,BTN_21,BTN_31,BTN_41,BTN_51,BTN_61, BTN_26,BTN_36,BTN_46,BTN_56,BTN_62,BTN_63,BTN_64,BTN_65,BTN_66,BTN_23,BTN_24,BTN_25,BTN_33,BTN_34,BTN_35,BTN_43,BTN_44,BTN_45,BTN_22,BTN_32,BTN_42,BTN_52,BTN_53,BTN_54,BTN_55] for p in lista_nom: if str(j) == p: índ_nom = lista_nom.index(p) elem_btn = lista_btn[índ_nom] elem_btn.config(bg = "Red") msg_error = True elif sel == 99: lista_nom = ["00","01","02","03","04","05","06","07","08","10","11","12","13","14","15","16","17","18","20","21","22","23","24","25","26","27","28","30","31","32","33","34","35","36","37","38","40","41","42","43","44","45","46","47","48","50","51","52","53","54","55","56","57","58","60","61","62","63","64","65","66","67","68","70","71","72","73","74","75","76","77","78","80","81","82","83","84","85","86","87","88"] lista_btn = [BTN_00,BTN_01,BTN_02,BTN_03,BTN_04,BTN_05,BTN_06,BTN_07,BTN_08,BTN_10,BTN_11,BTN_12,BTN_13,BTN_14,BTN_15,BTN_16,BTN_17,BTN_18,BTN_20,BTN_21,BTN_22,BTN_23,BTN_24,BTN_25,BTN_26,BTN_27,BTN_28,BTN_30,BTN_31,BTN_32,BTN_33,BTN_34,BTN_35,BTN_36,BTN_37,BTN_38,BTN_40,BTN_41,BTN_42,BTN_43,BTN_44,BTN_45,BTN_46,BTN_47,BTN_48,BTN_50,BTN_51,BTN_52,BTN_53,BTN_54,BTN_55,BTN_56,BTN_57,BTN_58,BTN_60,BTN_61,BTN_62,BTN_63,BTN_64,BTN_65,BTN_66,BTN_67,BTN_68,BTN_70,BTN_71,BTN_72,BTN_73,BTN_74,BTN_75,BTN_76,BTN_77,BTN_78,BTN_80,BTN_81,BTN_82,BTN_83,BTN_84,BTN_85,BTN_86,BTN_87,BTN_88] for p in lista_nom: if str(j) == p: índ_nom = lista_nom.index(p) elem_btn = lista_btn[índ_nom] elem_btn.config(bg = "Red") msg_error = True r = 0 elif lst_operaciones[índ_operación][-1] == "/": r_correcto = lst_operaciones[índ_operación][:-1] if lst_operación[0] > lst_operación[1]: r = lst_operación[0] // lst_operación[1] else: r = lst_operación[1] // lst_operación[0] lst_operación = [] if abs(r) != int(r_correcto): for j in lst_juego_validar[índ_operación]: if sel == 33: lista_nom = ["23","24","25","33","34","35","43","44","45"] lista_btn = [BTN_23,BTN_24,BTN_25,BTN_33,BTN_34,BTN_35,BTN_43,BTN_44,BTN_45] for p in lista_nom: if str(j) == p: índ_nom = lista_nom.index(p) elem_btn = lista_btn[índ_nom] elem_btn.config(bg = "Red") msg_error = True elif sel == 44: lista_nom = ["23","24","25","33","34","35","43","44","45","22","32","42","52","53","54","55"] lista_btn = [BTN_23,BTN_24,BTN_25,BTN_33,BTN_34,BTN_35,BTN_43,BTN_44,BTN_45,BTN_22,BTN_32,BTN_42,BTN_52,BTN_53,BTN_54,BTN_55] for p in lista_nom: if str(j) == p: índ_nom = lista_nom.index(p) elem_btn = lista_btn[índ_nom] elem_btn.config(bg = "Red") msg_error = True elif sel == 55: lista_nom = ["26","36","46","56","62","63","64","65","66","23","24","25","33","34","35","43","44","45","22","32","42","52","53","54","55"] lista_btn = [BTN_26,BTN_36,BTN_46,BTN_56,BTN_62,BTN_63,BTN_64,BTN_65,BTN_66,BTN_23,BTN_24,BTN_25,BTN_33,BTN_34,BTN_35,BTN_43,BTN_44,BTN_45,BTN_22,BTN_32,BTN_42,BTN_52,BTN_53,BTN_54,BTN_55] for p in lista_nom: if str(j) == p: índ_nom = lista_nom.index(p) elem_btn = lista_btn[índ_nom] elem_btn.config(bg = "Red") msg_error = True elif sel == 0: lista_nom = ["11","12","13","14","15","16","21","31","41","51","61","26","36","46","56","62","63","64","65","66","23","24","25","33","34","35","43","44","45","22","32","42","52","53","54","55"] lista_btn = [BTN_11,BTN_12,BTN_13,BTN_14,BTN_15,BTN_16,BTN_21,BTN_31,BTN_41,BTN_51,BTN_61, BTN_26,BTN_36,BTN_46,BTN_56,BTN_62,BTN_63,BTN_64,BTN_65,BTN_66,BTN_23,BTN_24,BTN_25,BTN_33,BTN_34,BTN_35,BTN_43,BTN_44,BTN_45,BTN_22,BTN_32,BTN_42,BTN_52,BTN_53,BTN_54,BTN_55] for p in lista_nom: if str(j) == p: índ_nom = lista_nom.index(p) elem_btn = lista_btn[índ_nom] elem_btn.config(bg = "Red") msg_error = True elif sel == 77: lista_nom = ["17","27","37","47","57","67","71","72","73","74","75","76","77","11","12","13","14","15","16","21","31","41","51","61","26","36","46","56","62","63","64","65","66","23","24","25","33","34","35","43","44","45","22","32","42","52","53","54","55"] lista_btn = [BTN_17,BTN_27,BTN_37,BTN_47,BTN_57,BTN_67,BTN_71,BTN_72,BTN_73,BTN_74,BTN_75,BTN_76,BTN_77,BTN_11,BTN_12,BTN_13,BTN_14,BTN_15,BTN_16,BTN_21,BTN_31,BTN_41,BTN_51,BTN_61, BTN_26,BTN_36,BTN_46,BTN_56,BTN_62,BTN_63,BTN_64,BTN_65,BTN_66,BTN_23,BTN_24,BTN_25,BTN_33,BTN_34,BTN_35,BTN_43,BTN_44,BTN_45,BTN_22,BTN_32,BTN_42,BTN_52,BTN_53,BTN_54,BTN_55] for p in lista_nom: if str(j) == p: índ_nom = lista_nom.index(p) elem_btn = lista_btn[índ_nom] elem_btn.config(bg = "Red") msg_error = True elif sel == 88: lista_nom = ["00","01","02","03","04","05","06","07","10","20","30","40","50","60","70","17","27","37","47","57","67","71","72","73","74","75","76","77","11","12","13","14","15","16","21","31","41","51","61","26","36","46","56","62","63","64","65","66","23","24","25","33","34","35","43","44","45","22","32","42","52","53","54","55"] lista_btn = [BTN_00,BTN_01,BTN_02,BTN_03,BTN_04,BTN_05,BTN_06,BTN_07,BTN_10,BTN_20,BTN_30,BTN_40,BTN_50,BTN_60,BTN_70,BTN_17,BTN_27,BTN_37,BTN_47,BTN_57,BTN_67,BTN_71,BTN_72,BTN_73,BTN_74,BTN_75,BTN_76,BTN_77,BTN_11,BTN_12,BTN_13,BTN_14,BTN_15,BTN_16,BTN_21,BTN_31,BTN_41,BTN_51,BTN_61, BTN_26,BTN_36,BTN_46,BTN_56,BTN_62,BTN_63,BTN_64,BTN_65,BTN_66,BTN_23,BTN_24,BTN_25,BTN_33,BTN_34,BTN_35,BTN_43,BTN_44,BTN_45,BTN_22,BTN_32,BTN_42,BTN_52,BTN_53,BTN_54,BTN_55] for p in lista_nom: if str(j) == p: índ_nom = lista_nom.index(p) elem_btn = lista_btn[índ_nom] elem_btn.config(bg = "Red") msg_error = True elif sel == 99: lista_nom = ["00","01","02","03","04","05","06","07","08","10","11","12","13","14","15","16","17","18","20","21","22","23","24","25","26","27","28","30","31","32","33","34","35","36","37","38","40","41","42","43","44","45","46","47","48","50","51","52","53","54","55","56","57","58","60","61","62","63","64","65","66","67","68","70","71","72","73","74","75","76","77","78","80","81","82","83","84","85","86","87","88"] lista_btn = [BTN_00,BTN_01,BTN_02,BTN_03,BTN_04,BTN_05,BTN_06,BTN_07,BTN_08,BTN_10,BTN_11,BTN_12,BTN_13,BTN_14,BTN_15,BTN_16,BTN_17,BTN_18,BTN_20,BTN_21,BTN_22,BTN_23,BTN_24,BTN_25,BTN_26,BTN_27,BTN_28,BTN_30,BTN_31,BTN_32,BTN_33,BTN_34,BTN_35,BTN_36,BTN_37,BTN_38,BTN_40,BTN_41,BTN_42,BTN_43,BTN_44,BTN_45,BTN_46,BTN_47,BTN_48,BTN_50,BTN_51,BTN_52,BTN_53,BTN_54,BTN_55,BTN_56,BTN_57,BTN_58,BTN_60,BTN_61,BTN_62,BTN_63,BTN_64,BTN_65,BTN_66,BTN_67,BTN_68,BTN_70,BTN_71,BTN_72,BTN_73,BTN_74,BTN_75,BTN_76,BTN_77,BTN_78,BTN_80,BTN_81,BTN_82,BTN_83,BTN_84,BTN_85,BTN_86,BTN_87,BTN_88] for p in lista_nom: if str(j) == p: índ_nom = lista_nom.index(p) elem_btn = lista_btn[índ_nom] elem_btn.config(bg = "Red") msg_error = True r = 0 elif lst_operaciones[índ_operación][-1] == "x": r = 1 r_correcto = lst_operaciones[índ_operación][:-1] for t in lst_operación: r = r * t lst_operación = [] if int(r) != int(r_correcto): for j in lst_juego_validar[índ_operación]: if sel == 33: lista_nom = ["23","24","25","33","34","35","43","44","45"] lista_btn = [BTN_23,BTN_24,BTN_25,BTN_33,BTN_34,BTN_35,BTN_43,BTN_44,BTN_45] for p in lista_nom: if str(j) == p: índ_nom = lista_nom.index(p) elem_btn = lista_btn[índ_nom] elem_btn.config(bg = "Red") msg_error = True elif sel == 44: lista_nom = ["23","24","25","33","34","35","43","44","45","22","32","42","52","53","54","55"] lista_btn = [BTN_23,BTN_24,BTN_25,BTN_33,BTN_34,BTN_35,BTN_43,BTN_44,BTN_45,BTN_22,BTN_32,BTN_42,BTN_52,BTN_53,BTN_54,BTN_55] for p in lista_nom: if str(j) == p: índ_nom = lista_nom.index(p) elem_btn = lista_btn[índ_nom] elem_btn.config(bg = "Red") msg_error = True elif sel == 55: lista_nom = ["26","36","46","56","62","63","64","65","66","23","24","25","33","34","35","43","44","45","22","32","42","52","53","54","55"] lista_btn = [BTN_26,BTN_36,BTN_46,BTN_56,BTN_62,BTN_63,BTN_64,BTN_65,BTN_66,BTN_23,BTN_24,BTN_25,BTN_33,BTN_34,BTN_35,BTN_43,BTN_44,BTN_45,BTN_22,BTN_32,BTN_42,BTN_52,BTN_53,BTN_54,BTN_55] for p in lista_nom: if str(j) == p: índ_nom = lista_nom.index(p) elem_btn = lista_btn[índ_nom] elem_btn.config(bg = "Red") msg_error = True elif sel == 0: lista_nom = ["11","12","13","14","15","16","21","31","41","51","61","26","36","46","56","62","63","64","65","66","23","24","25","33","34","35","43","44","45","22","32","42","52","53","54","55"] lista_btn = [BTN_11,BTN_12,BTN_13,BTN_14,BTN_15,BTN_16,BTN_21,BTN_31,BTN_41,BTN_51,BTN_61, BTN_26,BTN_36,BTN_46,BTN_56,BTN_62,BTN_63,BTN_64,BTN_65,BTN_66,BTN_23,BTN_24,BTN_25,BTN_33,BTN_34,BTN_35,BTN_43,BTN_44,BTN_45,BTN_22,BTN_32,BTN_42,BTN_52,BTN_53,BTN_54,BTN_55] for p in lista_nom: if str(j) == p: índ_nom = lista_nom.index(p) elem_btn = lista_btn[índ_nom] elem_btn.config(bg = "Red") msg_error = True elif sel == 77: lista_nom = ["17","27","37","47","57","67","71","72","73","74","75","76","77","11","12","13","14","15","16","21","31","41","51","61","26","36","46","56","62","63","64","65","66","23","24","25","33","34","35","43","44","45","22","32","42","52","53","54","55"] lista_btn = [BTN_17,BTN_27,BTN_37,BTN_47,BTN_57,BTN_67,BTN_71,BTN_72,BTN_73,BTN_74,BTN_75,BTN_76,BTN_77,BTN_11,BTN_12,BTN_13,BTN_14,BTN_15,BTN_16,BTN_21,BTN_31,BTN_41,BTN_51,BTN_61, BTN_26,BTN_36,BTN_46,BTN_56,BTN_62,BTN_63,BTN_64,BTN_65,BTN_66,BTN_23,BTN_24,BTN_25,BTN_33,BTN_34,BTN_35,BTN_43,BTN_44,BTN_45,BTN_22,BTN_32,BTN_42,BTN_52,BTN_53,BTN_54,BTN_55] for p in lista_nom: if str(j) == p: índ_nom = lista_nom.index(p) elem_btn = lista_btn[índ_nom] elem_btn.config(bg = "Red") msg_error = True elif sel == 88: lista_nom = ["00","01","02","03","04","05","06","07","10","20","30","40","50","60","70","17","27","37","47","57","67","71","72","73","74","75","76","77","11","12","13","14","15","16","21","31","41","51","61","26","36","46","56","62","63","64","65","66","23","24","25","33","34","35","43","44","45","22","32","42","52","53","54","55"] lista_btn = [BTN_00,BTN_01,BTN_02,BTN_03,BTN_04,BTN_05,BTN_06,BTN_07,BTN_10,BTN_20,BTN_30,BTN_40,BTN_50,BTN_60,BTN_70,BTN_17,BTN_27,BTN_37,BTN_47,BTN_57,BTN_67,BTN_71,BTN_72,BTN_73,BTN_74,BTN_75,BTN_76,BTN_77,BTN_11,BTN_12,BTN_13,BTN_14,BTN_15,BTN_16,BTN_21,BTN_31,BTN_41,BTN_51,BTN_61, BTN_26,BTN_36,BTN_46,BTN_56,BTN_62,BTN_63,BTN_64,BTN_65,BTN_66,BTN_23,BTN_24,BTN_25,BTN_33,BTN_34,BTN_35,BTN_43,BTN_44,BTN_45,BTN_22,BTN_32,BTN_42,BTN_52,BTN_53,BTN_54,BTN_55] for p in lista_nom: if str(j) == p: índ_nom = lista_nom.index(p) elem_btn = lista_btn[índ_nom] elem_btn.config(bg = "Red") msg_error = True elif sel == 99: lista_nom = ["00","01","02","03","04","05","06","07","08","10","11","12","13","14","15","16","17","18","20","21","22","23","24","25","26","27","28","30","31","32","33","34","35","36","37","38","40","41","42","43","44","45","46","47","48","50","51","52","53","54","55","56","57","58","60","61","62","63","64","65","66","67","68","70","71","72","73","74","75","76","77","78","80","81","82","83","84","85","86","87","88"] lista_btn = [BTN_00,BTN_01,BTN_02,BTN_03,BTN_04,BTN_05,BTN_06,BTN_07,BTN_08,BTN_10,BTN_11,BTN_12,BTN_13,BTN_14,BTN_15,BTN_16,BTN_17,BTN_18,BTN_20,BTN_21,BTN_22,BTN_23,BTN_24,BTN_25,BTN_26,BTN_27,BTN_28,BTN_30,BTN_31,BTN_32,BTN_33,BTN_34,BTN_35,BTN_36,BTN_37,BTN_38,BTN_40,BTN_41,BTN_42,BTN_43,BTN_44,BTN_45,BTN_46,BTN_47,BTN_48,BTN_50,BTN_51,BTN_52,BTN_53,BTN_54,BTN_55,BTN_56,BTN_57,BTN_58,BTN_60,BTN_61,BTN_62,BTN_63,BTN_64,BTN_65,BTN_66,BTN_67,BTN_68,BTN_70,BTN_71,BTN_72,BTN_73,BTN_74,BTN_75,BTN_76,BTN_77,BTN_78,BTN_80,BTN_81,BTN_82,BTN_83,BTN_84,BTN_85,BTN_86,BTN_87,BTN_88] for p in lista_nom: if str(j) == p: índ_nom = lista_nom.index(p) elem_btn = lista_btn[índ_nom] elem_btn.config(bg = "Red") msg_error = True r = 0 else: lst_operación = [] contador = 0 índ_operación += 1 contador_fila = 0 lst_fila0 = ["00", "01", "02", "03", "04", "05", "06", "07", "08"] lst_fila0_validar = ["", "", "", "", "", "", "", "", ""] lst_fila1 = ["10", "11", "12", "13", "14", "15", "16", "17", "18"] lst_fila1_validar = ["", "", "", "", "", "", "", "", ""] lst_fila2 = ["20", "21", "22", "23", "24", "25", "26", "27", "28"] lst_fila2_validar = ["", "", "", "", "", "", "", "", ""] lst_fila3 = ["30", "31", "32", "33", "34", "35", "36", "37", "38"] lst_fila3_validar = ["", "", "", "", "", "", "", "", ""] lst_fila4 = ["40", "41", "42", "43", "44", "45", "46", "47", "48"] lst_fila4_validar = ["", "", "", "", "", "", "", "", ""] lst_fila5 = ["50", "51", "52", "53", "54", "55", "56", "57", "58"] lst_fila5_validar = ["", "", "", "", "", "", "", "", ""] lst_fila6 = ["60", "61", "62", "63", "64", "65", "66", "67", "68"] lst_fila6_validar = ["", "", "", "", "", "", "", "", ""] lst_fila7 = ["70", "71", "72", "73", "74", "75", "76", "77", "78"] lst_fila7_validar = ["", "", "", "", "", "", "", "", ""] lst_fila8 = ["80", "81", "82", "83", "84", "85", "86", "87", "88"] lst_fila8_validar = ["", "", "", "", "", "", "", "", ""] lst_columna0 = ["00", "10", "20", "30", "40", "50", "60", "70", "80"] lst_columna0_validar = ["", "", "", "", "", "", "", "", ""] lst_columna1 = ["01", "11", "21", "31", "41", "51", "61", "71", "81"] lst_columna1_validar = ["", "", "", "", "", "", "", "", ""] lst_columna2 = ["02", "12", "22", "32", "42", "52", "62", "72", "82"] lst_columna2_validar = ["", "", "", "", "", "", "", "", ""] lst_columna3 = ["03", "13", "23", "33", "43", "53", "63", "73", "83"] lst_columna3_validar = ["", "", "", "", "", "", "", "", ""] lst_columna4 = ["04", "14", "24", "34", "44", "54", "64", "74", "84"] lst_columna4_validar = ["", "", "", "", "", "", "", "", ""] lst_columna5 = ["05", "15", "25", "35", "45", "55", "65", "75", "85"] lst_columna5_validar = ["", "", "", "", "", "", "", "", ""] lst_columna6 = ["06", "16", "26", "36", "46", "56", "66", "76", "86"] lst_columna6_validar = ["", "", "", "", "", "", "", "", ""] lst_columna7 = ["07", "17", "27", "37", "47", "57", "67", "77", "87"] lst_columna7_validar = ["", "", "", "", "", "", "", "", ""] lst_columna8 = ["08", "18", "28", "38", "48", "58", "68", "78", "88"] lst_columna8_validar = ["", "", "", "", "", "", "", "", ""] for b in lst_juego_validar: for s in b: if sel == 33: if str(s) in lst_fila2: índ_nom = lst_fila2.index(str(s)) índ_elemento = lst_juego_validar[contador_fila].index(int(s)) elemento = lst_validar[contador_fila][índ_elemento] if elemento != "": lst_fila2_validar.insert(índ_nom, int(elemento)) lst_fila2_validar.pop(índ_nom + 1) elif str(s) in lst_fila3: índ_nom = lst_fila3.index(str(s)) índ_elemento = lst_juego_validar[contador_fila].index(int(s)) elemento = lst_validar[contador_fila][índ_elemento] if elemento != "": lst_fila3_validar.insert(índ_nom, int(elemento)) lst_fila3_validar.pop(índ_nom + 1) elif str(s) in lst_fila4: índ_nom = lst_fila4.index(str(s)) índ_elemento = lst_juego_validar[contador_fila].index(int(s)) elemento = lst_validar[contador_fila][índ_elemento] if elemento != "": lst_fila4_validar.insert(índ_nom, int(elemento)) lst_fila4_validar.pop(índ_nom + 1) #A continuación se agregan los valores necesarios para la validación de columnas en 3 x 3. if str(s) in lst_columna3: índ_nom = lst_columna3.index(str(s)) índ_elemento = lst_juego_validar[contador_fila].index(int(s)) elemento = lst_validar[contador_fila][índ_elemento] if elemento != "": lst_columna3_validar.insert(índ_nom, int(elemento)) lst_columna3_validar.pop(índ_nom + 1) elif str(s) in lst_columna4: índ_nom = lst_columna4.index(str(s)) índ_elemento = lst_juego_validar[contador_fila].index(int(s)) elemento = lst_validar[contador_fila][índ_elemento] if elemento != "": lst_columna4_validar.insert(índ_nom, int(elemento)) lst_columna4_validar.pop(índ_nom + 1) elif str(s) in lst_columna5: índ_nom = lst_columna5.index(str(s)) índ_elemento = lst_juego_validar[contador_fila].index(int(s)) elemento = lst_validar[contador_fila][índ_elemento] if elemento != "": lst_columna5_validar.insert(índ_nom, int(elemento)) lst_columna5_validar.pop(índ_nom + 1) elif sel == 44: if str(s) in lst_fila2: índ_nom = lst_fila2.index(str(s)) índ_elemento = lst_juego_validar[contador_fila].index(int(s)) elemento = lst_validar[contador_fila][índ_elemento] if elemento != "": lst_fila2_validar.insert(índ_nom, int(elemento)) lst_fila2_validar.pop(índ_nom + 1) elif str(s) in lst_fila3: índ_nom = lst_fila3.index(str(s)) índ_elemento = lst_juego_validar[contador_fila].index(int(s)) elemento = lst_validar[contador_fila][índ_elemento] if elemento != "": lst_fila3_validar.insert(índ_nom, int(elemento)) lst_fila3_validar.pop(índ_nom + 1) elif str(s) in lst_fila4: índ_nom = lst_fila4.index(str(s)) índ_elemento = lst_juego_validar[contador_fila].index(int(s)) elemento = lst_validar[contador_fila][índ_elemento] if elemento != "": lst_fila4_validar.insert(índ_nom, int(elemento)) lst_fila4_validar.pop(índ_nom + 1) elif str(s) in lst_fila5: índ_nom = lst_fila5.index(str(s)) índ_elemento = lst_juego_validar[contador_fila].index(int(s)) elemento = lst_validar[contador_fila][índ_elemento] if elemento != "": lst_fila5_validar.insert(índ_nom, int(elemento)) lst_fila5_validar.pop(índ_nom + 1) #A continuación se agregan los valores necesarios para la validación de columnas en 4 x 4. if str(s) in lst_columna2: índ_nom = lst_columna2.index(str(s)) índ_elemento = lst_juego_validar[contador_fila].index(int(s)) elemento = lst_validar[contador_fila][índ_elemento] if elemento != "": lst_columna2_validar.insert(índ_nom, int(elemento)) lst_columna2_validar.pop(índ_nom + 1) elif str(s) in lst_columna3: índ_nom = lst_columna3.index(str(s)) índ_elemento = lst_juego_validar[contador_fila].index(int(s)) elemento = lst_validar[contador_fila][índ_elemento] if elemento != "": lst_columna3_validar.insert(índ_nom, int(elemento)) lst_columna3_validar.pop(índ_nom + 1) elif str(s) in lst_columna4: índ_nom = lst_columna4.index(str(s)) índ_elemento = lst_juego_validar[contador_fila].index(int(s)) elemento = lst_validar[contador_fila][índ_elemento] if elemento != "": lst_columna4_validar.insert(índ_nom, int(elemento)) lst_columna4_validar.pop(índ_nom + 1) elif str(s) in lst_columna5: índ_nom = lst_columna5.index(str(s)) índ_elemento = lst_juego_validar[contador_fila].index(int(s)) elemento = lst_validar[contador_fila][índ_elemento] if elemento != "": lst_columna5_validar.insert(índ_nom, int(elemento)) lst_columna5_validar.pop(índ_nom + 1) elif sel == 55: if str(s) in lst_fila2: índ_nom = lst_fila2.index(str(s)) índ_elemento = lst_juego_validar[contador_fila].index(int(s)) elemento = lst_validar[contador_fila][índ_elemento] if elemento != "": lst_fila2_validar.insert(índ_nom, int(elemento)) lst_fila2_validar.pop(índ_nom + 1) elif str(s) in lst_fila3: índ_nom = lst_fila3.index(str(s)) índ_elemento = lst_juego_validar[contador_fila].index(int(s)) elemento = lst_validar[contador_fila][índ_elemento] if elemento != "": lst_fila3_validar.insert(índ_nom, int(elemento)) lst_fila3_validar.pop(índ_nom + 1) elif str(s) in lst_fila4: índ_nom = lst_fila4.index(str(s)) índ_elemento = lst_juego_validar[contador_fila].index(int(s)) elemento = lst_validar[contador_fila][índ_elemento] if elemento != "": lst_fila4_validar.insert(índ_nom, int(elemento)) lst_fila4_validar.pop(índ_nom + 1) elif str(s) in lst_fila5: índ_nom = lst_fila5.index(str(s)) índ_elemento = lst_juego_validar[contador_fila].index(int(s)) elemento = lst_validar[contador_fila][índ_elemento] if elemento != "": lst_fila5_validar.insert(índ_nom, int(elemento)) lst_fila5_validar.pop(índ_nom + 1) elif str(s) in lst_fila6: índ_nom = lst_fila6.index(str(s)) índ_elemento = lst_juego_validar[contador_fila].index(int(s)) elemento = lst_validar[contador_fila][índ_elemento] if elemento != "": lst_fila6_validar.insert(índ_nom, int(elemento)) lst_fila6_validar.pop(índ_nom + 1) #A continuación se agregan los valores necesarios para la validación de columnas en 5 x 5. if str(s) in lst_columna2: índ_nom = lst_columna2.index(str(s)) índ_elemento = lst_juego_validar[contador_fila].index(int(s)) elemento = lst_validar[contador_fila][índ_elemento] if elemento != "": lst_columna2_validar.insert(índ_nom, int(elemento)) lst_columna2_validar.pop(índ_nom + 1) elif str(s) in lst_columna3: índ_nom = lst_columna3.index(str(s)) índ_elemento = lst_juego_validar[contador_fila].index(int(s)) elemento = lst_validar[contador_fila][índ_elemento] if elemento != "": lst_columna3_validar.insert(índ_nom, int(elemento)) lst_columna3_validar.pop(índ_nom + 1) elif str(s) in lst_columna4: índ_nom = lst_columna4.index(str(s)) índ_elemento = lst_juego_validar[contador_fila].index(int(s)) elemento = lst_validar[contador_fila][índ_elemento] if elemento != "": lst_columna4_validar.insert(índ_nom, int(elemento)) lst_columna4_validar.pop(índ_nom + 1) elif str(s) in lst_columna5: índ_nom = lst_columna5.index(str(s)) índ_elemento = lst_juego_validar[contador_fila].index(int(s)) elemento = lst_validar[contador_fila][índ_elemento] if elemento != "": lst_columna5_validar.insert(índ_nom, int(elemento)) lst_columna5_validar.pop(índ_nom + 1) elif str(s) in lst_columna6: índ_nom = lst_columna6.index(str(s)) índ_elemento = lst_juego_validar[contador_fila].index(int(s)) elemento = lst_validar[contador_fila][índ_elemento] if elemento != "": lst_columna6_validar.insert(índ_nom, int(elemento)) lst_columna6_validar.pop(índ_nom + 1) elif sel == 0: if str(s) in lst_fila1: índ_nom = lst_fila1.index(str(s)) índ_elemento = lst_juego_validar[contador_fila].index(int(s)) elemento = lst_validar[contador_fila][índ_elemento] if elemento != "": lst_fila1_validar.insert(índ_nom, int(elemento)) lst_fila1_validar.pop(índ_nom + 1) elif str(s) in lst_fila2: índ_nom = lst_fila2.index(str(s)) índ_elemento = lst_juego_validar[contador_fila].index(int(s)) elemento = lst_validar[contador_fila][índ_elemento] if elemento != "": lst_fila2_validar.insert(índ_nom, int(elemento)) lst_fila2_validar.pop(índ_nom + 1) elif str(s) in lst_fila3: índ_nom = lst_fila3.index(str(s)) índ_elemento = lst_juego_validar[contador_fila].index(int(s)) elemento = lst_validar[contador_fila][índ_elemento] if elemento != "": lst_fila3_validar.insert(índ_nom, int(elemento)) lst_fila3_validar.pop(índ_nom + 1) elif str(s) in lst_fila4: índ_nom = lst_fila4.index(str(s)) índ_elemento = lst_juego_validar[contador_fila].index(int(s)) elemento = lst_validar[contador_fila][índ_elemento] if elemento != "": lst_fila4_validar.insert(índ_nom, int(elemento)) lst_fila4_validar.pop(índ_nom + 1) elif str(s) in lst_fila5: índ_nom = lst_fila5.index(str(s)) índ_elemento = lst_juego_validar[contador_fila].index(int(s)) elemento = lst_validar[contador_fila][índ_elemento] if elemento != "": lst_fila5_validar.insert(índ_nom, int(elemento)) lst_fila5_validar.pop(índ_nom + 1) elif str(s) in lst_fila6: índ_nom = lst_fila6.index(str(s)) índ_elemento = lst_juego_validar[contador_fila].index(int(s)) elemento = lst_validar[contador_fila][índ_elemento] if elemento != "": lst_fila6_validar.insert(índ_nom, int(elemento)) lst_fila6_validar.pop(índ_nom + 1) #A continuación se agregan los valores necesarios para la validación de columnas en 6 x 6. if str(s) in lst_columna1: índ_nom = lst_columna1.index(str(s)) índ_elemento = lst_juego_validar[contador_fila].index(int(s)) elemento = lst_validar[contador_fila][índ_elemento] if elemento != "": lst_columna1_validar.insert(índ_nom, int(elemento)) lst_columna1_validar.pop(índ_nom + 1) elif str(s) in lst_columna2: índ_nom = lst_columna2.index(str(s)) índ_elemento = lst_juego_validar[contador_fila].index(int(s)) elemento = lst_validar[contador_fila][índ_elemento] if elemento != "": lst_columna2_validar.insert(índ_nom, int(elemento)) lst_columna2_validar.pop(índ_nom + 1) elif str(s) in lst_columna3: índ_nom = lst_columna3.index(str(s)) índ_elemento = lst_juego_validar[contador_fila].index(int(s)) elemento = lst_validar[contador_fila][índ_elemento] if elemento != "": lst_columna3_validar.insert(índ_nom, int(elemento)) lst_columna3_validar.pop(índ_nom + 1) elif str(s) in lst_columna4: índ_nom = lst_columna4.index(str(s)) índ_elemento = lst_juego_validar[contador_fila].index(int(s)) elemento = lst_validar[contador_fila][índ_elemento] if elemento != "": lst_columna4_validar.insert(índ_nom, int(elemento)) lst_columna4_validar.pop(índ_nom + 1) elif str(s) in lst_columna5: índ_nom = lst_columna5.index(str(s)) índ_elemento = lst_juego_validar[contador_fila].index(int(s)) elemento = lst_validar[contador_fila][índ_elemento] if elemento != "": lst_columna5_validar.insert(índ_nom, int(elemento)) lst_columna5_validar.pop(índ_nom + 1) elif str(s) in lst_columna6: índ_nom = lst_columna6.index(str(s)) índ_elemento = lst_juego_validar[contador_fila].index(int(s)) elemento = lst_validar[contador_fila][índ_elemento] if elemento != "": lst_columna6_validar.insert(índ_nom, int(elemento)) lst_columna6_validar.pop(índ_nom + 1) elif sel == 77: if str(s) in lst_fila1: índ_nom = lst_fila1.index(str(s)) índ_elemento = lst_juego_validar[contador_fila].index(int(s)) elemento = lst_validar[contador_fila][índ_elemento] if elemento != "": lst_fila1_validar.insert(índ_nom, int(elemento)) lst_fila1_validar.pop(índ_nom + 1) elif str(s) in lst_fila2: índ_nom = lst_fila2.index(str(s)) índ_elemento = lst_juego_validar[contador_fila].index(int(s)) elemento = lst_validar[contador_fila][índ_elemento] if elemento != "": lst_fila2_validar.insert(índ_nom, int(elemento)) lst_fila2_validar.pop(índ_nom + 1) elif str(s) in lst_fila3: índ_nom = lst_fila3.index(str(s)) índ_elemento = lst_juego_validar[contador_fila].index(int(s)) elemento = lst_validar[contador_fila][índ_elemento] if elemento != "": lst_fila3_validar.insert(índ_nom, int(elemento)) lst_fila3_validar.pop(índ_nom + 1) elif str(s) in lst_fila4: índ_nom = lst_fila4.index(str(s)) índ_elemento = lst_juego_validar[contador_fila].index(int(s)) elemento = lst_validar[contador_fila][índ_elemento] if elemento != "": lst_fila4_validar.insert(índ_nom, int(elemento)) lst_fila4_validar.pop(índ_nom + 1) elif str(s) in lst_fila5: índ_nom = lst_fila5.index(str(s)) índ_elemento = lst_juego_validar[contador_fila].index(int(s)) elemento = lst_validar[contador_fila][índ_elemento] if elemento != "": lst_fila5_validar.insert(índ_nom, int(elemento)) lst_fila5_validar.pop(índ_nom + 1) elif str(s) in lst_fila6: índ_nom = lst_fila6.index(str(s)) índ_elemento = lst_juego_validar[contador_fila].index(int(s)) elemento = lst_validar[contador_fila][índ_elemento] if elemento != "": lst_fila6_validar.insert(índ_nom, int(elemento)) lst_fila6_validar.pop(índ_nom + 1) elif str(s) in lst_fila7: índ_nom = lst_fila7.index(str(s)) índ_elemento = lst_juego_validar[contador_fila].index(int(s)) elemento = lst_validar[contador_fila][índ_elemento] if elemento != "": lst_fila7_validar.insert(índ_nom, int(elemento)) lst_fila7_validar.pop(índ_nom + 1) #A continuación se agregan los valores necesarios para la validación de columnas en 7 x 7. if str(s) in lst_columna1: índ_nom = lst_columna1.index(str(s)) índ_elemento = lst_juego_validar[contador_fila].index(int(s)) elemento = lst_validar[contador_fila][índ_elemento] if elemento != "": lst_columna1_validar.insert(índ_nom, int(elemento)) lst_columna1_validar.pop(índ_nom + 1) elif str(s) in lst_columna2: índ_nom = lst_columna2.index(str(s)) índ_elemento = lst_juego_validar[contador_fila].index(int(s)) elemento = lst_validar[contador_fila][índ_elemento] if elemento != "": lst_columna2_validar.insert(índ_nom, int(elemento)) lst_columna2_validar.pop(índ_nom + 1) elif str(s) in lst_columna3: índ_nom = lst_columna3.index(str(s)) índ_elemento = lst_juego_validar[contador_fila].index(int(s)) elemento = lst_validar[contador_fila][índ_elemento] if elemento != "": lst_columna3_validar.insert(índ_nom, int(elemento)) lst_columna3_validar.pop(índ_nom + 1) elif str(s) in lst_columna4: índ_nom = lst_columna4.index(str(s)) índ_elemento = lst_juego_validar[contador_fila].index(int(s)) elemento = lst_validar[contador_fila][índ_elemento] if elemento != "": lst_columna4_validar.insert(índ_nom, int(elemento)) lst_columna4_validar.pop(índ_nom + 1) elif str(s) in lst_columna5: índ_nom = lst_columna5.index(str(s)) índ_elemento = lst_juego_validar[contador_fila].index(int(s)) elemento = lst_validar[contador_fila][índ_elemento] if elemento != "": lst_columna5_validar.insert(índ_nom, int(elemento)) lst_columna5_validar.pop(índ_nom + 1) elif str(s) in lst_columna6: índ_nom = lst_columna6.index(str(s)) índ_elemento = lst_juego_validar[contador_fila].index(int(s)) elemento = lst_validar[contador_fila][índ_elemento] if elemento != "": lst_columna6_validar.insert(índ_nom, int(elemento)) lst_columna6_validar.pop(índ_nom + 1) elif str(s) in lst_columna7: índ_nom = lst_columna7.index(str(s)) índ_elemento = lst_juego_validar[contador_fila].index(int(s)) elemento = lst_validar[contador_fila][índ_elemento] if elemento != "": lst_columna7_validar.insert(índ_nom, int(elemento)) lst_columna7_validar.pop(índ_nom + 1) elif sel == 88: if str(s) in lst_fila0: índ_nom = lst_fila0.index(str(s)) índ_elemento = lst_juego_validar[contador_fila].index(str(s)) elemento = lst_validar[contador_fila][índ_elemento] if elemento != "": lst_fila0_validar.insert(índ_nom, int(elemento)) lst_fila0_validar.pop(índ_nom + 1) elif str(s) in lst_fila1: índ_nom = lst_fila1.index(str(s)) índ_elemento = lst_juego_validar[contador_fila].index(int(s)) elemento = lst_validar[contador_fila][índ_elemento] if elemento != "": lst_fila1_validar.insert(índ_nom, int(elemento)) lst_fila1_validar.pop(índ_nom + 1) elif str(s) in lst_fila2: índ_nom = lst_fila2.index(str(s)) índ_elemento = lst_juego_validar[contador_fila].index(int(s)) elemento = lst_validar[contador_fila][índ_elemento] if elemento != "": lst_fila2_validar.insert(índ_nom, int(elemento)) lst_fila2_validar.pop(índ_nom + 1) elif str(s) in lst_fila3: índ_nom = lst_fila3.index(str(s)) índ_elemento = lst_juego_validar[contador_fila].index(int(s)) elemento = lst_validar[contador_fila][índ_elemento] if elemento != "": lst_fila3_validar.insert(índ_nom, int(elemento)) lst_fila3_validar.pop(índ_nom + 1) elif str(s) in lst_fila4: índ_nom = lst_fila4.index(str(s)) índ_elemento = lst_juego_validar[contador_fila].index(int(s)) elemento = lst_validar[contador_fila][índ_elemento] if elemento != "": lst_fila4_validar.insert(índ_nom, int(elemento)) lst_fila4_validar.pop(índ_nom + 1) elif str(s) in lst_fila5: índ_nom = lst_fila5.index(str(s)) índ_elemento = lst_juego_validar[contador_fila].index(int(s)) elemento = lst_validar[contador_fila][índ_elemento] if elemento != "": lst_fila5_validar.insert(índ_nom, int(elemento)) lst_fila5_validar.pop(índ_nom + 1) elif str(s) in lst_fila6: índ_nom = lst_fila6.index(str(s)) índ_elemento = lst_juego_validar[contador_fila].index(int(s)) elemento = lst_validar[contador_fila][índ_elemento] if elemento != "": lst_fila6_validar.insert(índ_nom, int(elemento)) lst_fila6_validar.pop(índ_nom + 1) elif str(s) in lst_fila7: índ_nom = lst_fila7.index(str(s)) índ_elemento = lst_juego_validar[contador_fila].index(int(s)) elemento = lst_validar[contador_fila][índ_elemento] if elemento != "": lst_fila7_validar.insert(índ_nom, int(elemento)) lst_fila7_validar.pop(índ_nom + 1) #A continuación se agregan los valores necesarios para la validación de columnas en 8 x 8. if str(s) in lst_columna0: if str(s) == "00": índ_nom = lst_columna0.index(str(s)) índ_elemento = lst_juego_validar[contador_fila].index(str(s)) elemento = lst_validar[contador_fila][índ_elemento] if elemento != "": lst_columna0_validar.insert(índ_nom, int(elemento)) lst_columna0_validar.pop(índ_nom + 1) else: índ_nom = lst_columna0.index(str(s)) índ_elemento = lst_juego_validar[contador_fila].index(int(s)) elemento = lst_validar[contador_fila][índ_elemento] if elemento != "": lst_columna0_validar.insert(índ_nom, int(elemento)) lst_columna0_validar.pop(índ_nom + 1) elif str(s) in lst_columna1: if str(s) == "01": índ_nom = lst_columna1.index(str(s)) índ_elemento = lst_juego_validar[contador_fila].index(str(s)) elemento = lst_validar[contador_fila][índ_elemento] if elemento != "": lst_columna1_validar.insert(índ_nom, int(elemento)) lst_columna1_validar.pop(índ_nom + 1) else: índ_nom = lst_columna1.index(str(s)) índ_elemento = lst_juego_validar[contador_fila].index(int(s)) elemento = lst_validar[contador_fila][índ_elemento] if elemento != "": lst_columna1_validar.insert(índ_nom, int(elemento)) lst_columna1_validar.pop(índ_nom + 1) elif str(s) in lst_columna2: if str(s) == "02": índ_nom = lst_columna2.index(str(s)) índ_elemento = lst_juego_validar[contador_fila].index(str(s)) elemento = lst_validar[contador_fila][índ_elemento] if elemento != "": lst_columna2_validar.insert(índ_nom, int(elemento)) lst_columna2_validar.pop(índ_nom + 1) else: índ_nom = lst_columna2.index(str(s)) índ_elemento = lst_juego_validar[contador_fila].index(int(s)) elemento = lst_validar[contador_fila][índ_elemento] if elemento != "": lst_columna2_validar.insert(índ_nom, int(elemento)) lst_columna2_validar.pop(índ_nom + 1) elif str(s) in lst_columna3: if str(s) == "03": índ_nom = lst_columna3.index(str(s)) índ_elemento = lst_juego_validar[contador_fila].index(str(s)) elemento = lst_validar[contador_fila][índ_elemento] if elemento != "": lst_columna3_validar.insert(índ_nom, int(elemento)) lst_columna3_validar.pop(índ_nom + 1) else: índ_nom = lst_columna3.index(str(s)) índ_elemento = lst_juego_validar[contador_fila].index(int(s)) elemento = lst_validar[contador_fila][índ_elemento] if elemento != "": lst_columna3_validar.insert(índ_nom, int(elemento)) lst_columna3_validar.pop(índ_nom + 1) elif str(s) in lst_columna4: if str(s) == "04": índ_nom = lst_columna4.index(str(s)) índ_elemento = lst_juego_validar[contador_fila].index(str(s)) elemento = lst_validar[contador_fila][índ_elemento] if elemento != "": lst_columna4_validar.insert(índ_nom, int(elemento)) lst_columna4_validar.pop(índ_nom + 1) else: índ_nom = lst_columna4.index(str(s)) índ_elemento = lst_juego_validar[contador_fila].index(int(s)) elemento = lst_validar[contador_fila][índ_elemento] if elemento != "": lst_columna4_validar.insert(índ_nom, int(elemento)) lst_columna4_validar.pop(índ_nom + 1) elif str(s) in lst_columna5: if str(s) == "05": índ_nom = lst_columna5.index(str(s)) índ_elemento = lst_juego_validar[contador_fila].index(str(s)) elemento = lst_validar[contador_fila][índ_elemento] if elemento != "": lst_columna5_validar.insert(índ_nom, int(elemento)) lst_columna5_validar.pop(índ_nom + 1) else: índ_nom = lst_columna5.index(str(s)) índ_elemento = lst_juego_validar[contador_fila].index(int(s)) elemento = lst_validar[contador_fila][índ_elemento] if elemento != "": lst_columna5_validar.insert(índ_nom, int(elemento)) lst_columna5_validar.pop(índ_nom + 1) elif str(s) in lst_columna6: if str(s) == "06": índ_nom = lst_columna6.index(str(s)) índ_elemento = lst_juego_validar[contador_fila].index(str(s)) elemento = lst_validar[contador_fila][índ_elemento] if elemento != "": lst_columna6_validar.insert(índ_nom, int(elemento)) lst_columna6_validar.pop(índ_nom + 1) else: índ_nom = lst_columna6.index(str(s)) índ_elemento = lst_juego_validar[contador_fila].index(int(s)) elemento = lst_validar[contador_fila][índ_elemento] if elemento != "": lst_columna6_validar.insert(índ_nom, int(elemento)) lst_columna6_validar.pop(índ_nom + 1) elif str(s) in lst_columna7: if str(s) == "07": índ_nom = lst_columna7.index(str(s)) índ_elemento = lst_juego_validar[contador_fila].index(str(s)) elemento = lst_validar[contador_fila][índ_elemento] if elemento != "": lst_columna7_validar.insert(índ_nom, int(elemento)) lst_columna7_validar.pop(índ_nom + 1) else: índ_nom = lst_columna7.index(str(s)) índ_elemento = lst_juego_validar[contador_fila].index(int(s)) elemento = lst_validar[contador_fila][índ_elemento] if elemento != "": lst_columna7_validar.insert(índ_nom, int(elemento)) lst_columna7_validar.pop(índ_nom + 1) elif sel == 99: if str(s) in lst_fila0: índ_nom = lst_fila0.index(str(s)) índ_elemento = lst_juego_validar[contador_fila].index(str(s)) elemento = lst_validar[contador_fila][índ_elemento] if elemento != "": lst_fila0_validar.insert(índ_nom, int(elemento)) lst_fila0_validar.pop(índ_nom + 1) elif str(s) in lst_fila1: índ_nom = lst_fila1.index(str(s)) índ_elemento = lst_juego_validar[contador_fila].index(int(s)) elemento = lst_validar[contador_fila][índ_elemento] if elemento != "": lst_fila1_validar.insert(índ_nom, int(elemento)) lst_fila1_validar.pop(índ_nom + 1) elif str(s) in lst_fila2: índ_nom = lst_fila2.index(str(s)) índ_elemento = lst_juego_validar[contador_fila].index(int(s)) elemento = lst_validar[contador_fila][índ_elemento] if elemento != "": lst_fila2_validar.insert(índ_nom, int(elemento)) lst_fila2_validar.pop(índ_nom + 1) elif str(s) in lst_fila3: índ_nom = lst_fila3.index(str(s)) índ_elemento = lst_juego_validar[contador_fila].index(int(s)) elemento = lst_validar[contador_fila][índ_elemento] if elemento != "": lst_fila3_validar.insert(índ_nom, int(elemento)) lst_fila3_validar.pop(índ_nom + 1) elif str(s) in lst_fila4: índ_nom = lst_fila4.index(str(s)) índ_elemento = lst_juego_validar[contador_fila].index(int(s)) elemento = lst_validar[contador_fila][índ_elemento] if elemento != "": lst_fila4_validar.insert(índ_nom, int(elemento)) lst_fila4_validar.pop(índ_nom + 1) elif str(s) in lst_fila5: índ_nom = lst_fila5.index(str(s)) índ_elemento = lst_juego_validar[contador_fila].index(int(s)) elemento = lst_validar[contador_fila][índ_elemento] if elemento != "": lst_fila5_validar.insert(índ_nom, int(elemento)) lst_fila5_validar.pop(índ_nom + 1) elif str(s) in lst_fila6: índ_nom = lst_fila6.index(str(s)) índ_elemento = lst_juego_validar[contador_fila].index(int(s)) elemento = lst_validar[contador_fila][índ_elemento] if elemento != "": lst_fila6_validar.insert(índ_nom, int(elemento)) lst_fila6_validar.pop(índ_nom + 1) elif str(s) in lst_fila7: índ_nom = lst_fila7.index(str(s)) índ_elemento = lst_juego_validar[contador_fila].index(int(s)) elemento = lst_validar[contador_fila][índ_elemento] if elemento != "": lst_fila7_validar.insert(índ_nom, int(elemento)) lst_fila7_validar.pop(índ_nom + 1) elif str(s) in lst_fila8: índ_nom = lst_fila8.index(str(s)) índ_elemento = lst_juego_validar[contador_fila].index(int(s)) elemento = lst_validar[contador_fila][índ_elemento] if elemento != "": lst_fila8_validar.insert(índ_nom, int(elemento)) lst_fila8_validar.pop(índ_nom + 1) #A continuación se agregan los valores necesarios para la validación de columnas en 8 x 8. if str(s) in lst_columna0: if str(s) == "00": índ_nom = lst_columna0.index(str(s)) índ_elemento = lst_juego_validar[contador_fila].index(str(s)) elemento = lst_validar[contador_fila][índ_elemento] if elemento != "": lst_columna0_validar.insert(índ_nom, int(elemento)) lst_columna0_validar.pop(índ_nom + 1) else: índ_nom = lst_columna0.index(str(s)) índ_elemento = lst_juego_validar[contador_fila].index(int(s)) elemento = lst_validar[contador_fila][índ_elemento] if elemento != "": lst_columna0_validar.insert(índ_nom, int(elemento)) lst_columna0_validar.pop(índ_nom + 1) elif str(s) in lst_columna1: if str(s) == "01": índ_nom = lst_columna1.index(str(s)) índ_elemento = lst_juego_validar[contador_fila].index(str(s)) elemento = lst_validar[contador_fila][índ_elemento] if elemento != "": lst_columna1_validar.insert(índ_nom, int(elemento)) lst_columna1_validar.pop(índ_nom + 1) else: índ_nom = lst_columna1.index(str(s)) índ_elemento = lst_juego_validar[contador_fila].index(int(s)) elemento = lst_validar[contador_fila][índ_elemento] if elemento != "": lst_columna1_validar.insert(índ_nom, int(elemento)) lst_columna1_validar.pop(índ_nom + 1) elif str(s) in lst_columna2: if str(s) == "02": índ_nom = lst_columna2.index(str(s)) índ_elemento = lst_juego_validar[contador_fila].index(str(s)) elemento = lst_validar[contador_fila][índ_elemento] if elemento != "": lst_columna2_validar.insert(índ_nom, int(elemento)) lst_columna2_validar.pop(índ_nom + 1) else: índ_nom = lst_columna2.index(str(s)) índ_elemento = lst_juego_validar[contador_fila].index(int(s)) elemento = lst_validar[contador_fila][índ_elemento] if elemento != "": lst_columna2_validar.insert(índ_nom, int(elemento)) lst_columna2_validar.pop(índ_nom + 1) elif str(s) in lst_columna3: if str(s) == "03": índ_nom = lst_columna3.index(str(s)) índ_elemento = lst_juego_validar[contador_fila].index(str(s)) elemento = lst_validar[contador_fila][índ_elemento] if elemento != "": lst_columna3_validar.insert(índ_nom, int(elemento)) lst_columna3_validar.pop(índ_nom + 1) else: índ_nom = lst_columna3.index(str(s)) índ_elemento = lst_juego_validar[contador_fila].index(int(s)) elemento = lst_validar[contador_fila][índ_elemento] if elemento != "": lst_columna3_validar.insert(índ_nom, int(elemento)) lst_columna3_validar.pop(índ_nom + 1) elif str(s) in lst_columna4: if str(s) == "04": índ_nom = lst_columna4.index(str(s)) índ_elemento = lst_juego_validar[contador_fila].index(str(s)) elemento = lst_validar[contador_fila][índ_elemento] if elemento != "": lst_columna4_validar.insert(índ_nom, int(elemento)) lst_columna4_validar.pop(índ_nom + 1) else: índ_nom = lst_columna4.index(str(s)) índ_elemento = lst_juego_validar[contador_fila].index(int(s)) elemento = lst_validar[contador_fila][índ_elemento] if elemento != "": lst_columna4_validar.insert(índ_nom, int(elemento)) lst_columna4_validar.pop(índ_nom + 1) elif str(s) in lst_columna5: if str(s) == "05": índ_nom = lst_columna5.index(str(s)) índ_elemento = lst_juego_validar[contador_fila].index(str(s)) elemento = lst_validar[contador_fila][índ_elemento] if elemento != "": lst_columna5_validar.insert(índ_nom, int(elemento)) lst_columna5_validar.pop(índ_nom + 1) else: índ_nom = lst_columna5.index(str(s)) índ_elemento = lst_juego_validar[contador_fila].index(int(s)) elemento = lst_validar[contador_fila][índ_elemento] if elemento != "": lst_columna5_validar.insert(índ_nom, int(elemento)) lst_columna5_validar.pop(índ_nom + 1) elif str(s) in lst_columna6: if str(s) == "06": índ_nom = lst_columna6.index(str(s)) índ_elemento = lst_juego_validar[contador_fila].index(str(s)) elemento = lst_validar[contador_fila][índ_elemento] if elemento != "": lst_columna6_validar.insert(índ_nom, int(elemento)) lst_columna6_validar.pop(índ_nom + 1) else: índ_nom = lst_columna6.index(str(s)) índ_elemento = lst_juego_validar[contador_fila].index(int(s)) elemento = lst_validar[contador_fila][índ_elemento] if elemento != "": lst_columna6_validar.insert(índ_nom, int(elemento)) lst_columna6_validar.pop(índ_nom + 1) elif str(s) in lst_columna7: if str(s) == "07": índ_nom = lst_columna7.index(str(s)) índ_elemento = lst_juego_validar[contador_fila].index(str(s)) elemento = lst_validar[contador_fila][índ_elemento] if elemento != "": lst_columna7_validar.insert(índ_nom, int(elemento)) lst_columna7_validar.pop(índ_nom + 1) else: índ_nom = lst_columna7.index(str(s)) índ_elemento = lst_juego_validar[contador_fila].index(int(s)) elemento = lst_validar[contador_fila][índ_elemento] if elemento != "": lst_columna7_validar.insert(índ_nom, int(elemento)) lst_columna7_validar.pop(índ_nom + 1) elif str(s) in lst_columna8: if str(s) == "08": índ_nom = lst_columna8.index(str(s)) índ_elemento = lst_juego_validar[contador_fila].index(str(s)) elemento = lst_validar[contador_fila][índ_elemento] if elemento != "": lst_columna8_validar.insert(índ_nom, int(elemento)) lst_columna8_validar.pop(índ_nom + 1) else: índ_nom = lst_columna8.index(str(s)) índ_elemento = lst_juego_validar[contador_fila].index(int(s)) elemento = lst_validar[contador_fila][índ_elemento] if elemento != "": lst_columna8_validar.insert(índ_nom, int(elemento)) lst_columna8_validar.pop(índ_nom + 1) contador_fila += 1 contador_fila = 1 contador_columna = 1 if sel == 33: for q in lst_fila2_validar: if q in lst_fila2_validar[contador_fila:] and q != "": índ_elemento = lst_fila2_validar.index(q) botón = lst_fila2[índ_elemento] lista_nom = ["23","24","25"] lista_btn = [BTN_23,BTN_24,BTN_25] for z in lista_nom: if botón == z: índ_nom = lista_nom.index(z) elem_btn = lista_btn[índ_nom] elem_btn.config(bg = "Red") msg_error = True contador_fila += 1 contador_fila = 1 for q in lst_fila3_validar: if q in lst_fila3_validar[contador_fila:] and q != "": índ_elemento = lst_fila3_validar.index(q) botón = lst_fila3[índ_elemento] lista_nom = ["33", "34", "35"] lista_btn = [BTN_33,BTN_34,BTN_35] for z in lista_nom: if botón == z: índ_nom = lista_nom.index(z) elem_btn = lista_btn[índ_nom] elem_btn.config(bg = "Red") msg_error = True contador_fila += 1 contador_fila = 1 for q in lst_fila4_validar: if q in lst_fila4_validar[contador_fila:] and q != "": índ_elemento = lst_fila4_validar.index(q) botón = lst_fila4[índ_elemento] lista_nom = ["43", "44", "45"] lista_btn = [BTN_43,BTN_44,BTN_45] for z in lista_nom: if botón == z: índ_nom = lista_nom.index(z) elem_btn = lista_btn[índ_nom] elem_btn.config(bg = "Red") msg_error = True contador_fila += 1 #A continuación inicia validación de columnas en 3 x 3. contador_columna = 1 for q in lst_columna3_validar: if q in lst_columna3_validar[contador_columna:] and q != "": índ_elemento = lst_columna3_validar.index(q) botón = lst_columna3[índ_elemento] lista_nom = ["23","33","43"] lista_btn = [BTN_23,BTN_33,BTN_43] for z in lista_nom: if botón == z: índ_nom = lista_nom.index(z) elem_btn = lista_btn[índ_nom] elem_btn.config(bg = "Red") msg_error = True contador_columna += 1 contador_columna = 1 for q in lst_columna4_validar: if q in lst_columna4_validar[contador_columna:] and q != "": índ_elemento = lst_columna4_validar.index(q) botón = lst_columna4[índ_elemento] lista_nom = ["24","34","44"] lista_btn = [BTN_24,BTN_34,BTN_44] for z in lista_nom: if botón == z: índ_nom = lista_nom.index(z) elem_btn = lista_btn[índ_nom] elem_btn.config(bg = "Red") msg_error = True contador_columna += 1 contador_columna = 1 for q in lst_columna5_validar: if q in lst_columna5_validar[contador_columna:] and q != "": índ_elemento = lst_columna5_validar.index(q) botón = lst_columna5[índ_elemento] lista_nom = ["25","35","45"] lista_btn = [BTN_25,BTN_35,BTN_45] for z in lista_nom: if botón == z: índ_nom = lista_nom.index(z) elem_btn = lista_btn[índ_nom] elem_btn.config(bg = "Red") msg_error = True contador_columna += 1 elif sel == 44: for q in lst_fila2_validar: if q in lst_fila2_validar[contador_fila:] and q != "": índ_elemento = lst_fila2_validar.index(q) botón = lst_fila2[índ_elemento] lista_nom = ["22","23","24","25"] lista_btn = [BTN_22,BTN_23,BTN_24,BTN_25] for z in lista_nom: if botón == z: índ_nom = lista_nom.index(z) elem_btn = lista_btn[índ_nom] elem_btn.config(bg = "Red") msg_error = True contador_fila += 1 contador_fila = 1 for q in lst_fila3_validar: if q in lst_fila3_validar[contador_fila:] and q != "": índ_elemento = lst_fila3_validar.index(q) botón = lst_fila3[índ_elemento] lista_nom = ["32","33", "34", "35"] lista_btn = [BTN_32,BTN_33,BTN_34,BTN_35] for z in lista_nom: if botón == z: índ_nom = lista_nom.index(z) elem_btn = lista_btn[índ_nom] elem_btn.config(bg = "Red") msg_error = True contador_fila += 1 contador_fila = 1 for q in lst_fila4_validar: if q in lst_fila4_validar[contador_fila:] and q != "": índ_elemento = lst_fila4_validar.index(q) botón = lst_fila4[índ_elemento] lista_nom = ["42","43", "44", "45"] lista_btn = [BTN_42,BTN_43,BTN_44,BTN_45] for z in lista_nom: if botón == z: índ_nom = lista_nom.index(z) elem_btn = lista_btn[índ_nom] elem_btn.config(bg = "Red") msg_error = True contador_fila += 1 contador_fila = 1 for q in lst_fila5_validar: if q in lst_fila5_validar[contador_fila:] and q != "": índ_elemento = lst_fila5_validar.index(q) botón = lst_fila5[índ_elemento] lista_nom = ["52","53", "54", "55"] lista_btn = [BTN_52,BTN_53,BTN_54,BTN_55] for z in lista_nom: if botón == z: índ_nom = lista_nom.index(z) elem_btn = lista_btn[índ_nom] elem_btn.config(bg = "Red") msg_error = True contador_fila += 1 #A continuación inicia validación de columnas en 4 x 4. contador_columna = 1 for q in lst_columna2_validar: if q in lst_columna2_validar[contador_columna:] and q != "": índ_elemento = lst_columna2_validar.index(q) botón = lst_columna2[índ_elemento] lista_nom = ["22", "32", "42", "52"] lista_btn = [BTN_22,BTN_32,BTN_42, BTN_52] for z in lista_nom: if botón == z: índ_nom = lista_nom.index(z) elem_btn = lista_btn[índ_nom] elem_btn.config(bg = "Red") msg_error = True contador_columna += 1 contador_columna = 1 for q in lst_columna3_validar: if q in lst_columna3_validar[contador_columna:] and q != "": índ_elemento = lst_columna3_validar.index(q) botón = lst_columna3[índ_elemento] lista_nom = ["23","33","43","53"] lista_btn = [BTN_23,BTN_33,BTN_43, BTN_53] for z in lista_nom: if botón == z: índ_nom = lista_nom.index(z) elem_btn = lista_btn[índ_nom] elem_btn.config(bg = "Red") msg_error = True contador_columna += 1 contador_columna = 1 for q in lst_columna4_validar: if q in lst_columna4_validar[contador_columna:] and q != "": índ_elemento = lst_columna4_validar.index(q) botón = lst_columna4[índ_elemento] lista_nom = ["24","34","44","54"] lista_btn = [BTN_24,BTN_34,BTN_44, BTN_54] for z in lista_nom: if botón == z: índ_nom = lista_nom.index(z) elem_btn = lista_btn[índ_nom] elem_btn.config(bg = "Red") msg_error = True contador_columna += 1 contador_columna = 1 for q in lst_columna5_validar: if q in lst_columna5_validar[contador_columna:] and q != "": índ_elemento = lst_columna5_validar.index(q) botón = lst_columna5[índ_elemento] lista_nom = ["25","35","45","55"] lista_btn = [BTN_25,BTN_35,BTN_45, BTN_55] for z in lista_nom: if botón == z: índ_nom = lista_nom.index(z) elem_btn = lista_btn[índ_nom] elem_btn.config(bg = "Red") msg_error = True contador_columna += 1 elif sel == 55: for q in lst_fila2_validar: if q in lst_fila2_validar[contador_fila:] and q != "": índ_elemento = lst_fila2_validar.index(q) botón = lst_fila2[índ_elemento] lista_nom = ["22","23","24","25", "26"] lista_btn = [BTN_22,BTN_23,BTN_24,BTN_25,BTN_26] for z in lista_nom: if botón == z: índ_nom = lista_nom.index(z) elem_btn = lista_btn[índ_nom] elem_btn.config(bg = "Red") msg_error = True contador_fila += 1 contador_fila = 1 for q in lst_fila3_validar: if q in lst_fila3_validar[contador_fila:] and q != "": índ_elemento = lst_fila3_validar.index(q) botón = lst_fila3[índ_elemento] lista_nom = ["32","33", "34", "35", "36"] lista_btn = [BTN_32,BTN_33,BTN_34,BTN_35,BTN_36] for z in lista_nom: if botón == z: índ_nom = lista_nom.index(z) elem_btn = lista_btn[índ_nom] elem_btn.config(bg = "Red") msg_error = True contador_fila += 1 contador_fila = 1 for q in lst_fila4_validar: if q in lst_fila4_validar[contador_fila:] and q != "": índ_elemento = lst_fila4_validar.index(q) botón = lst_fila4[índ_elemento] lista_nom = ["42","43", "44", "45", "46"] lista_btn = [BTN_42,BTN_43,BTN_44,BTN_45,BTN_46] for z in lista_nom: if botón == z: índ_nom = lista_nom.index(z) elem_btn = lista_btn[índ_nom] elem_btn.config(bg = "Red") msg_error = True contador_fila += 1 contador_fila = 1 for q in lst_fila5_validar: if q in lst_fila5_validar[contador_fila:] and q != "": índ_elemento = lst_fila5_validar.index(q) botón = lst_fila5[índ_elemento] lista_nom = ["52","53", "54", "55", "56"] lista_btn = [BTN_52,BTN_53,BTN_54,BTN_55, BTN_56] for z in lista_nom: if botón == z: índ_nom = lista_nom.index(z) elem_btn = lista_btn[índ_nom] elem_btn.config(bg = "Red") msg_error = True contador_fila += 1 contador_fila = 1 for q in lst_fila6_validar: if q in lst_fila6_validar[contador_fila:] and q != "": índ_elemento = lst_fila6_validar.index(q) botón = lst_fila6[índ_elemento] lista_nom = ["62","63", "64", "65", "66"] lista_btn = [BTN_62,BTN_63,BTN_64,BTN_65, BTN_66] for z in lista_nom: if botón == z: índ_nom = lista_nom.index(z) elem_btn = lista_btn[índ_nom] elem_btn.config(bg = "Red") msg_error = True contador_fila += 1 #A continuación inicia validación de columnas en 5 x 5. contador_columna = 1 for q in lst_columna2_validar: if q in lst_columna2_validar[contador_columna:] and q != "": índ_elemento = lst_columna2_validar.index(q) botón = lst_columna2[índ_elemento] lista_nom = ["22", "32", "42", "52","62"] lista_btn = [BTN_22,BTN_32,BTN_42, BTN_52, BTN_62] for z in lista_nom: if botón == z: índ_nom = lista_nom.index(z) elem_btn = lista_btn[índ_nom] elem_btn.config(bg = "Red") msg_error = True contador_columna += 1 contador_columna = 1 for q in lst_columna3_validar: if q in lst_columna3_validar[contador_columna:] and q != "": índ_elemento = lst_columna3_validar.index(q) botón = lst_columna3[índ_elemento] lista_nom = ["23","33","43","53", "63"] lista_btn = [BTN_23,BTN_33,BTN_43, BTN_53, BTN_63] for z in lista_nom: if botón == z: índ_nom = lista_nom.index(z) elem_btn = lista_btn[índ_nom] elem_btn.config(bg = "Red") msg_error = True contador_columna += 1 contador_columna = 1 for q in lst_columna4_validar: if q in lst_columna4_validar[contador_columna:] and q != "": índ_elemento = lst_columna4_validar.index(q) botón = lst_columna4[índ_elemento] lista_nom = ["24","34","44","54", "64"] lista_btn = [BTN_24,BTN_34,BTN_44, BTN_54, BTN_64] for z in lista_nom: if botón == z: índ_nom = lista_nom.index(z) elem_btn = lista_btn[índ_nom] elem_btn.config(bg = "Red") msg_error = True contador_columna += 1 contador_columna = 1 for q in lst_columna5_validar: if q in lst_columna5_validar[contador_columna:] and q != "": índ_elemento = lst_columna5_validar.index(q) botón = lst_columna5[índ_elemento] lista_nom = ["25","35","45","55", "65"] lista_btn = [BTN_25,BTN_35,BTN_45, BTN_55, BTN_65] for z in lista_nom: if botón == z: índ_nom = lista_nom.index(z) elem_btn = lista_btn[índ_nom] elem_btn.config(bg = "Red") msg_error = True contador_columna += 1 contador_columna = 1 for q in lst_columna6_validar: if q in lst_columna6_validar[contador_columna:] and q != "": índ_elemento = lst_columna6_validar.index(q) botón = lst_columna6[índ_elemento] lista_nom = ["26","36","46","56", "66"] lista_btn = [BTN_26,BTN_36,BTN_46, BTN_56, BTN_66] for z in lista_nom: if botón == z: índ_nom = lista_nom.index(z) elem_btn = lista_btn[índ_nom] elem_btn.config(bg = "Red") msg_error = True contador_columna += 1 elif sel == 0: for q in lst_fila1_validar: if q in lst_fila1_validar[contador_fila:] and q != "": índ_elemento = lst_fila1_validar.index(q) botón = lst_fila1[índ_elemento] lista_nom = ["11","12","13","14","15", "16"] lista_btn = [BTN_22,BTN_11,BTN_12,BTN_13,BTN_14,BTN_15,BTN_16] for z in lista_nom: if botón == z: índ_nom = lista_nom.index(z) elem_btn = lista_btn[índ_nom] elem_btn.config(bg = "Red") msg_error = True contador_fila += 1 contador_fila = 1 for q in lst_fila2_validar: if q in lst_fila2_validar[contador_fila:] and q != "": índ_elemento = lst_fila2_validar.index(q) botón = lst_fila2[índ_elemento] lista_nom = ["21","22","23","24","25", "26"] lista_btn = [BTN_21,BTN_22,BTN_23,BTN_24,BTN_25,BTN_26] for z in lista_nom: if botón == z: índ_nom = lista_nom.index(z) elem_btn = lista_btn[índ_nom] elem_btn.config(bg = "Red") msg_error = True contador_fila += 1 contador_fila = 1 for q in lst_fila3_validar: if q in lst_fila3_validar[contador_fila:] and q != "": índ_elemento = lst_fila3_validar.index(q) botón = lst_fila3[índ_elemento] lista_nom = ["31","32","33", "34", "35", "36"] lista_btn = [BTN_21,BTN_32,BTN_33,BTN_34,BTN_35,BTN_36] for z in lista_nom: if botón == z: índ_nom = lista_nom.index(z) elem_btn = lista_btn[índ_nom] elem_btn.config(bg = "Red") msg_error = True contador_fila += 1 contador_fila = 1 for q in lst_fila4_validar: if q in lst_fila4_validar[contador_fila:] and q != "": índ_elemento = lst_fila4_validar.index(q) botón = lst_fila4[índ_elemento] lista_nom = ["41","42","43", "44", "45", "46"] lista_btn = [BTN_41,BTN_42,BTN_43,BTN_44,BTN_45,BTN_46] for z in lista_nom: if botón == z: índ_nom = lista_nom.index(z) elem_btn = lista_btn[índ_nom] elem_btn.config(bg = "Red") msg_error = True contador_fila += 1 contador_fila = 1 for q in lst_fila5_validar: if q in lst_fila5_validar[contador_fila:] and q != "": índ_elemento = lst_fila5_validar.index(q) botón = lst_fila5[índ_elemento] lista_nom = ["51","52","53", "54", "55", "56"] lista_btn = [BTN_51,BTN_52,BTN_53,BTN_54,BTN_55, BTN_56] for z in lista_nom: if botón == z: índ_nom = lista_nom.index(z) elem_btn = lista_btn[índ_nom] elem_btn.config(bg = "Red") msg_error = True contador_fila += 1 contador_fila = 1 for q in lst_fila6_validar: if q in lst_fila6_validar[contador_fila:] and q != "": índ_elemento = lst_fila6_validar.index(q) botón = lst_fila6[índ_elemento] lista_nom = ["61","62","63", "64", "65", "66"] lista_btn = [BTN_61,BTN_62,BTN_63,BTN_64,BTN_65, BTN_66] for z in lista_nom: if botón == z: índ_nom = lista_nom.index(z) elem_btn = lista_btn[índ_nom] elem_btn.config(bg = "Red") msg_error = True contador_fila += 1 #A continuación inicia validación de columnas en 6 x 6. contador_columna = 1 for q in lst_columna1_validar: if q in lst_columna1_validar[contador_columna:] and q != "": índ_elemento = lst_columna1_validar.index(q) botón = lst_columna1[índ_elemento] lista_nom = ["11","21", "31", "41", "51","61"] lista_btn = [BTN_11,BTN_21,BTN_31,BTN_41, BTN_51, BTN_61] for z in lista_nom: if botón == z: índ_nom = lista_nom.index(z) elem_btn = lista_btn[índ_nom] elem_btn.config(bg = "Red") msg_error = True contador_columna += 1 contador_columna = 1 for q in lst_columna2_validar: if q in lst_columna2_validar[contador_columna:] and q != "": índ_elemento = lst_columna2_validar.index(q) botón = lst_columna2[índ_elemento] lista_nom = ["12","22", "32", "42", "52","62"] lista_btn = [BTN_12,BTN_22,BTN_32,BTN_42, BTN_52, BTN_62] for z in lista_nom: if botón == z: índ_nom = lista_nom.index(z) elem_btn = lista_btn[índ_nom] elem_btn.config(bg = "Red") msg_error = True contador_columna += 1 contador_columna = 1 for q in lst_columna3_validar: if q in lst_columna3_validar[contador_columna:] and q != "": índ_elemento = lst_columna3_validar.index(q) botón = lst_columna3[índ_elemento] lista_nom = ["13","23","33","43","53", "63"] lista_btn = [BTN_13,BTN_23,BTN_33,BTN_43, BTN_53, BTN_63] for z in lista_nom: if botón == z: índ_nom = lista_nom.index(z) elem_btn = lista_btn[índ_nom] elem_btn.config(bg = "Red") msg_error = True contador_columna += 1 contador_columna = 1 for q in lst_columna4_validar: if q in lst_columna4_validar[contador_columna:] and q != "": índ_elemento = lst_columna4_validar.index(q) botón = lst_columna4[índ_elemento] lista_nom = ["14","24","34","44","54", "64"] lista_btn = [BTN_14,BTN_24,BTN_34,BTN_44, BTN_54, BTN_64] for z in lista_nom: if botón == z: índ_nom = lista_nom.index(z) elem_btn = lista_btn[índ_nom] elem_btn.config(bg = "Red") msg_error = True contador_columna += 1 contador_columna = 1 for q in lst_columna5_validar: if q in lst_columna5_validar[contador_columna:] and q != "": índ_elemento = lst_columna5_validar.index(q) botón = lst_columna5[índ_elemento] lista_nom = ["15","25","35","45","55", "65"] lista_btn = [BTN_15,BTN_25,BTN_35,BTN_45, BTN_55, BTN_65] for z in lista_nom: if botón == z: índ_nom = lista_nom.index(z) elem_btn = lista_btn[índ_nom] elem_btn.config(bg = "Red") msg_error = True contador_columna += 1 contador_columna = 1 for q in lst_columna6_validar: if q in lst_columna6_validar[contador_columna:] and q != "": índ_elemento = lst_columna6_validar.index(q) botón = lst_columna6[índ_elemento] lista_nom = ["16","26","36","46","56", "66"] lista_btn = [BTN_16,BTN_26,BTN_36,BTN_46, BTN_56, BTN_66] for z in lista_nom: if botón == z: índ_nom = lista_nom.index(z) elem_btn = lista_btn[índ_nom] elem_btn.config(bg = "Red") msg_error = True contador_columna += 1 elif sel == 77: for q in lst_fila1_validar: if q in lst_fila1_validar[contador_fila:] and q != "": índ_elemento = lst_fila1_validar.index(q) botón = lst_fila1[índ_elemento] lista_nom = ["11","12","13","14","15", "16", "17"] lista_btn = [BTN_11,BTN_12,BTN_13,BTN_14,BTN_15,BTN_16,BTN_17] for z in lista_nom: if botón == z: índ_nom = lista_nom.index(z) elem_btn = lista_btn[índ_nom] elem_btn.config(bg = "Red") msg_error = True contador_fila += 1 contador_fila = 1 for q in lst_fila2_validar: if q in lst_fila2_validar[contador_fila:] and q != "": índ_elemento = lst_fila2_validar.index(q) botón = lst_fila2[índ_elemento] lista_nom = ["21","22","23","24","25", "26","27"] lista_btn = [BTN_21,BTN_22,BTN_23,BTN_24,BTN_25,BTN_26,BTN_27] for z in lista_nom: if botón == z: índ_nom = lista_nom.index(z) elem_btn = lista_btn[índ_nom] elem_btn.config(bg = "Red") msg_error = True contador_fila += 1 contador_fila = 1 for q in lst_fila3_validar: if q in lst_fila3_validar[contador_fila:] and q != "": índ_elemento = lst_fila3_validar.index(q) botón = lst_fila3[índ_elemento] lista_nom = ["31","32","33", "34", "35", "36", "37"] lista_btn = [BTN_31,BTN_32,BTN_33,BTN_34,BTN_35,BTN_36,BTN_37] for z in lista_nom: if botón == z: índ_nom = lista_nom.index(z) elem_btn = lista_btn[índ_nom] elem_btn.config(bg = "Red") msg_error = True contador_fila += 1 contador_fila = 1 for q in lst_fila4_validar: if q in lst_fila4_validar[contador_fila:] and q != "": índ_elemento = lst_fila4_validar.index(q) botón = lst_fila4[índ_elemento] lista_nom = ["41","42","43", "44", "45", "46","47"] lista_btn = [BTN_41,BTN_42,BTN_43,BTN_44,BTN_45,BTN_46,BTN_47] for z in lista_nom: if botón == z: índ_nom = lista_nom.index(z) elem_btn = lista_btn[índ_nom] elem_btn.config(bg = "Red") msg_error = True contador_fila += 1 contador_fila = 1 for q in lst_fila5_validar: if q in lst_fila5_validar[contador_fila:] and q != "": índ_elemento = lst_fila5_validar.index(q) botón = lst_fila5[índ_elemento] lista_nom = ["51","52","53", "54", "55", "56","57"] lista_btn = [BTN_51,BTN_52,BTN_53,BTN_54,BTN_55, BTN_56,BTN_57] for z in lista_nom: if botón == z: índ_nom = lista_nom.index(z) elem_btn = lista_btn[índ_nom] elem_btn.config(bg = "Red") msg_error = True contador_fila += 1 contador_fila = 1 for q in lst_fila6_validar: if q in lst_fila6_validar[contador_fila:] and q != "": índ_elemento = lst_fila6_validar.index(q) botón = lst_fila6[índ_elemento] lista_nom = ["61","62","63", "64", "65", "66","67"] lista_btn = [BTN_61,BTN_62,BTN_63,BTN_64,BTN_65, BTN_66,BTN_67] for z in lista_nom: if botón == z: índ_nom = lista_nom.index(z) elem_btn = lista_btn[índ_nom] elem_btn.config(bg = "Red") msg_error = True contador_fila += 1 contador_fila = 1 for q in lst_fila7_validar: if q in lst_fila7_validar[contador_fila:] and q != "": índ_elemento = lst_fila7_validar.index(q) botón = lst_fila7[índ_elemento] lista_nom = ["71","72","73", "74", "75", "76","77"] lista_btn = [BTN_71,BTN_72,BTN_73,BTN_74,BTN_75, BTN_76,BTN_77] for z in lista_nom: if botón == z: índ_nom = lista_nom.index(z) elem_btn = lista_btn[índ_nom] elem_btn.config(bg = "Red") msg_error = True contador_fila += 1 #A continuación inicia validación de columnas en 7 x 7. contador_columna = 1 for q in lst_columna1_validar: if q in lst_columna1_validar[contador_columna:] and q != "": índ_elemento = lst_columna1_validar.index(q) botón = lst_columna1[índ_elemento] lista_nom = ["11","21", "31", "41","51","61","71"] lista_btn = [BTN_11,BTN_21,BTN_31,BTN_41, BTN_51, BTN_61,BTN_71] for z in lista_nom: if botón == z: índ_nom = lista_nom.index(z) elem_btn = lista_btn[índ_nom] elem_btn.config(bg = "Red") msg_error = True contador_columna += 1 contador_columna = 1 for q in lst_columna2_validar: if q in lst_columna2_validar[contador_columna:] and q != "": índ_elemento = lst_columna2_validar.index(q) botón = lst_columna2[índ_elemento] lista_nom = ["12","22", "32","42","52","62","72"] lista_btn = [BTN_12,BTN_22,BTN_32,BTN_42, BTN_52, BTN_62,BTN_72] for z in lista_nom: if botón == z: índ_nom = lista_nom.index(z) elem_btn = lista_btn[índ_nom] elem_btn.config(bg = "Red") msg_error = True contador_columna += 1 contador_columna = 1 for q in lst_columna3_validar: if q in lst_columna3_validar[contador_columna:] and q != "": índ_elemento = lst_columna3_validar.index(q) botón = lst_columna3[índ_elemento] lista_nom = ["13","23","33","43","53","63","73"] lista_btn = [BTN_13,BTN_23,BTN_33,BTN_43, BTN_53, BTN_63,BTN_73] for z in lista_nom: if botón == z: índ_nom = lista_nom.index(z) elem_btn = lista_btn[índ_nom] elem_btn.config(bg = "Red") msg_error = True contador_columna += 1 contador_columna = 1 for q in lst_columna4_validar: if q in lst_columna4_validar[contador_columna:] and q != "": índ_elemento = lst_columna4_validar.index(q) botón = lst_columna4[índ_elemento] lista_nom = ["14","24","34","44","54","64","74"] lista_btn = [BTN_14,BTN_24,BTN_34,BTN_44, BTN_54, BTN_64,BTN_74] for z in lista_nom: if botón == z: índ_nom = lista_nom.index(z) elem_btn = lista_btn[índ_nom] elem_btn.config(bg = "Red") msg_error = True contador_columna += 1 contador_columna = 1 for q in lst_columna5_validar: if q in lst_columna5_validar[contador_columna:] and q != "": índ_elemento = lst_columna5_validar.index(q) botón = lst_columna5[índ_elemento] lista_nom = ["15","25","35","45","55","65","75"] lista_btn = [BTN_15,BTN_25,BTN_35,BTN_45, BTN_55, BTN_65,BTN_75] for z in lista_nom: if botón == z: índ_nom = lista_nom.index(z) elem_btn = lista_btn[índ_nom] elem_btn.config(bg = "Red") msg_error = True contador_columna += 1 contador_columna = 1 for q in lst_columna6_validar: if q in lst_columna6_validar[contador_columna:] and q != "": índ_elemento = lst_columna6_validar.index(q) botón = lst_columna6[índ_elemento] lista_nom = ["16","26","36","46","56","66","67"] lista_btn = [BTN_16,BTN_26,BTN_36,BTN_46, BTN_56, BTN_66,BTN_76] for z in lista_nom: if botón == z: índ_nom = lista_nom.index(z) elem_btn = lista_btn[índ_nom] elem_btn.config(bg = "Red") msg_error = True contador_columna += 1 contador_columna = 1 for q in lst_columna7_validar: if q in lst_columna7_validar[contador_columna:] and q != "": índ_elemento = lst_columna7_validar.index(q) botón = lst_columna7[índ_elemento] lista_nom = ["17","27","37","47","57","67","77"] lista_btn = [BTN_17,BTN_27,BTN_37,BTN_47, BTN_57, BTN_67,BTN_77] for z in lista_nom: if botón == z: índ_nom = lista_nom.index(z) elem_btn = lista_btn[índ_nom] elem_btn.config(bg = "Red") msg_error = True contador_columna += 1 elif sel == 88: for q in lst_fila0_validar: if q in lst_fila0_validar[contador_fila:] and q != "": índ_elemento = lst_fila0_validar.index(q) botón = lst_fila0[índ_elemento] lista_nom = ["00","01","02","03","04","05", "06", "07"] lista_btn = [BTN_00,BTN_01,BTN_02,BTN_03,BTN_04,BTN_05,BTN_06,BTN_07] for z in lista_nom: if str(botón) == z: índ_nom = lista_nom.index(z) elem_btn = lista_btn[índ_nom] elem_btn.config(bg = "Red") msg_error = True contador_fila += 1 contador_fila = 1 for q in lst_fila1_validar: if q in lst_fila1_validar[contador_fila:] and q != "": índ_elemento = lst_fila1_validar.index(q) botón = lst_fila1[índ_elemento] lista_nom = ["10","11","12","13","14","15", "16", "17"] lista_btn = [BTN_10,BTN_11,BTN_12,BTN_13,BTN_14,BTN_15,BTN_16,BTN_17] for z in lista_nom: if str(botón) == z: índ_nom = lista_nom.index(z) elem_btn = lista_btn[índ_nom] elem_btn.config(bg = "Red") msg_error = True contador_fila += 1 contador_fila = 1 for q in lst_fila2_validar: if q in lst_fila2_validar[contador_fila:] and q != "": índ_elemento = lst_fila2_validar.index(q) botón = lst_fila2[índ_elemento] lista_nom = ["20","21","22","23","24","25", "26","27"] lista_btn = [BTN_20,BTN_21,BTN_22,BTN_23,BTN_24,BTN_25,BTN_26,BTN_27] for z in lista_nom: if botón == z: índ_nom = lista_nom.index(z) elem_btn = lista_btn[índ_nom] elem_btn.config(bg = "Red") msg_error = True contador_fila += 1 contador_fila = 1 for q in lst_fila3_validar: if q in lst_fila3_validar[contador_fila:] and q != "": índ_elemento = lst_fila3_validar.index(q) botón = lst_fila3[índ_elemento] lista_nom = ["30","31","32","33", "34", "35", "36", "37"] lista_btn = [BTN_30,BTN_31,BTN_32,BTN_33,BTN_34,BTN_35,BTN_36,BTN_37] for z in lista_nom: if botón == z: índ_nom = lista_nom.index(z) elem_btn = lista_btn[índ_nom] elem_btn.config(bg = "Red") msg_error = True contador_fila += 1 contador_fila = 1 for q in lst_fila4_validar: if q in lst_fila4_validar[contador_fila:] and q != "": índ_elemento = lst_fila4_validar.index(q) botón = lst_fila4[índ_elemento] lista_nom = ["40","41","42","43", "44", "45", "46","47"] lista_btn = [BTN_40,BTN_41,BTN_42,BTN_43,BTN_44,BTN_45,BTN_46,BTN_47] for z in lista_nom: if botón == z: índ_nom = lista_nom.index(z) elem_btn = lista_btn[índ_nom] elem_btn.config(bg = "Red") msg_error = True contador_fila += 1 contador_fila = 1 for q in lst_fila5_validar: if q in lst_fila5_validar[contador_fila:] and q != "": índ_elemento = lst_fila5_validar.index(q) botón = lst_fila5[índ_elemento] lista_nom = ["50","51","52","53", "54", "55", "56","57"] lista_btn = [BTN_50,BTN_51,BTN_52,BTN_53,BTN_54,BTN_55, BTN_56,BTN_57] for z in lista_nom: if botón == z: índ_nom = lista_nom.index(z) elem_btn = lista_btn[índ_nom] elem_btn.config(bg = "Red") msg_error = True contador_fila += 1 contador_fila = 1 for q in lst_fila6_validar: if q in lst_fila6_validar[contador_fila:] and q != "": índ_elemento = lst_fila6_validar.index(q) botón = lst_fila6[índ_elemento] lista_nom = ["60","61","62","63", "64", "65", "66","67"] lista_btn = [BTN_60,BTN_61,BTN_62,BTN_63,BTN_64,BTN_65, BTN_66,BTN_67] for z in lista_nom: if botón == z: índ_nom = lista_nom.index(z) elem_btn = lista_btn[índ_nom] elem_btn.config(bg = "Red") msg_error = True contador_fila += 1 contador_fila = 1 for q in lst_fila7_validar: if q in lst_fila7_validar[contador_fila:] and q != "": índ_elemento = lst_fila7_validar.index(q) botón = lst_fila7[índ_elemento] lista_nom = ["70","71","72","73", "74", "75", "76","77"] lista_btn = [BTN_70,BTN_71,BTN_72,BTN_73,BTN_74,BTN_75, BTN_76,BTN_77] for z in lista_nom: if botón == z: índ_nom = lista_nom.index(z) elem_btn = lista_btn[índ_nom] elem_btn.config(bg = "Red") msg_error = True contador_fila += 1 #A continuación inicia validación de columnas en 8 x 8. contador_columna = 1 for q in lst_columna0_validar: if q in lst_columna0_validar[contador_columna:] and q != "": índ_elemento = lst_columna0_validar.index(q) botón = lst_columna0[índ_elemento] lista_nom = ["00","10","20", "30", "40","50","60","70"] lista_btn = [BTN_00,BTN_10,BTN_20,BTN_30,BTN_40, BTN_50, BTN_60,BTN_70] for z in lista_nom: if botón == z: índ_nom = lista_nom.index(z) elem_btn = lista_btn[índ_nom] elem_btn.config(bg = "Red") msg_error = True contador_columna += 1 contador_columna = 1 for q in lst_columna1_validar: if q in lst_columna1_validar[contador_columna:] and q != "": índ_elemento = lst_columna1_validar.index(q) botón = lst_columna1[índ_elemento] lista_nom = ["01","11","21","31", "41","51","61","71"] lista_btn = [BTN_01,BTN_11,BTN_21,BTN_31,BTN_41, BTN_51, BTN_61,BTN_71] for z in lista_nom: if botón == z: índ_nom = lista_nom.index(z) elem_btn = lista_btn[índ_nom] elem_btn.config(bg = "Red") msg_error = True contador_columna += 1 contador_columna = 1 for q in lst_columna2_validar: if q in lst_columna2_validar[contador_columna:] and q != "": índ_elemento = lst_columna2_validar.index(q) botón = lst_columna2[índ_elemento] lista_nom = ["02","12","22", "32","42","52","62","72"] lista_btn = [BTN_02,BTN_12,BTN_22,BTN_32,BTN_42, BTN_52, BTN_62,BTN_72] for z in lista_nom: if botón == z: índ_nom = lista_nom.index(z) elem_btn = lista_btn[índ_nom] elem_btn.config(bg = "Red") msg_error = True contador_columna += 1 contador_columna = 1 for q in lst_columna3_validar: if q in lst_columna3_validar[contador_columna:] and q != "": índ_elemento = lst_columna3_validar.index(q) botón = lst_columna3[índ_elemento] lista_nom = ["03","13","23","33","43","53","63","73"] lista_btn = [BTN_03,BTN_13,BTN_23,BTN_33,BTN_43, BTN_53, BTN_63,BTN_73] for z in lista_nom: if botón == z: índ_nom = lista_nom.index(z) elem_btn = lista_btn[índ_nom] elem_btn.config(bg = "Red") msg_error = True contador_columna += 1 contador_columna = 1 for q in lst_columna4_validar: if q in lst_columna4_validar[contador_columna:] and q != "": índ_elemento = lst_columna4_validar.index(q) botón = lst_columna4[índ_elemento] lista_nom = ["04","14","24","34","44","54","64","74"] lista_btn = [BTN_04,BTN_14,BTN_24,BTN_34,BTN_44, BTN_54, BTN_64,BTN_74] for z in lista_nom: if botón == z: índ_nom = lista_nom.index(z) elem_btn = lista_btn[índ_nom] elem_btn.config(bg = "Red") msg_error = True contador_columna += 1 contador_columna = 1 for q in lst_columna5_validar: if q in lst_columna5_validar[contador_columna:] and q != "": índ_elemento = lst_columna5_validar.index(q) botón = lst_columna5[índ_elemento] lista_nom = ["05","15","25","35","45","55","65","75"] lista_btn = [BTN_05,BTN_15,BTN_25,BTN_35,BTN_45, BTN_55, BTN_65,BTN_75] for z in lista_nom: if botón == z: índ_nom = lista_nom.index(z) elem_btn = lista_btn[índ_nom] elem_btn.config(bg = "Red") msg_error = True contador_columna += 1 contador_columna = 1 for q in lst_columna6_validar: if q in lst_columna6_validar[contador_columna:] and q != "": índ_elemento = lst_columna6_validar.index(q) botón = lst_columna6[índ_elemento] lista_nom = ["06","16","26","36","46","56","66","67"] lista_btn = [BTN_06,BTN_16,BTN_26,BTN_36,BTN_46, BTN_56, BTN_66,BTN_76] for z in lista_nom: if botón == z: índ_nom = lista_nom.index(z) elem_btn = lista_btn[índ_nom] elem_btn.config(bg = "Red") msg_error = True contador_columna += 1 contador_columna = 1 for q in lst_columna7_validar: if q in lst_columna7_validar[contador_columna:] and q != "": índ_elemento = lst_columna7_validar.index(q) botón = lst_columna7[índ_elemento] lista_nom = ["07","17","27","37","47","57","67","77"] lista_btn = [BTN_07,BTN_17,BTN_27,BTN_37,BTN_47, BTN_57, BTN_67,BTN_77] for z in lista_nom: if botón == z: índ_nom = lista_nom.index(z) elem_btn = lista_btn[índ_nom] elem_btn.config(bg = "Red") msg_error = True contador_columna += 1 elif sel == 99: for q in lst_fila0_validar: if q in lst_fila0_validar[contador_fila:] and q != "": índ_elemento = lst_fila0_validar.index(q) botón = lst_fila0[índ_elemento] lista_nom = ["00","01","02","03","04","05", "06", "07", "08"] lista_btn = [BTN_00,BTN_01,BTN_02,BTN_03,BTN_04,BTN_05,BTN_06,BTN_07,BTN_08] for z in lista_nom: if str(botón) == z: índ_nom = lista_nom.index(z) elem_btn = lista_btn[índ_nom] elem_btn.config(bg = "Red") msg_error = True contador_fila += 1 contador_fila = 1 for q in lst_fila1_validar: if q in lst_fila1_validar[contador_fila:] and q != "": índ_elemento = lst_fila1_validar.index(q) botón = lst_fila1[índ_elemento] lista_nom = ["10","11","12","13","14","15", "16", "17", "18"] lista_btn = [BTN_10,BTN_11,BTN_12,BTN_13,BTN_14,BTN_15,BTN_16,BTN_17,BTN_18] for z in lista_nom: if str(botón) == z: índ_nom = lista_nom.index(z) elem_btn = lista_btn[índ_nom] elem_btn.config(bg = "Red") msg_error = True contador_fila += 1 contador_fila = 1 for q in lst_fila2_validar: if q in lst_fila2_validar[contador_fila:] and q != "": índ_elemento = lst_fila2_validar.index(q) botón = lst_fila2[índ_elemento] lista_nom = ["20","21","22","23","24","25", "26","27", "28"] lista_btn = [BTN_20,BTN_21,BTN_22,BTN_23,BTN_24,BTN_25,BTN_26,BTN_27,BTN_28] for z in lista_nom: if botón == z: índ_nom = lista_nom.index(z) elem_btn = lista_btn[índ_nom] elem_btn.config(bg = "Red") msg_error = True contador_fila += 1 contador_fila = 1 for q in lst_fila3_validar: if q in lst_fila3_validar[contador_fila:] and q != "": índ_elemento = lst_fila3_validar.index(q) botón = lst_fila3[índ_elemento] lista_nom = ["30","31","32","33", "34", "35", "36", "37", "38"] lista_btn = [BTN_30,BTN_31,BTN_32,BTN_33,BTN_34,BTN_35,BTN_36,BTN_37,BTN_38] for z in lista_nom: if botón == z: índ_nom = lista_nom.index(z) elem_btn = lista_btn[índ_nom] elem_btn.config(bg = "Red") msg_error = True contador_fila += 1 contador_fila = 1 for q in lst_fila4_validar: if q in lst_fila4_validar[contador_fila:] and q != "": índ_elemento = lst_fila4_validar.index(q) botón = lst_fila4[índ_elemento] lista_nom = ["40","41","42","43", "44", "45", "46","47", "48"] lista_btn = [BTN_40,BTN_41,BTN_42,BTN_43,BTN_44,BTN_45,BTN_46,BTN_47,BTN_48] for z in lista_nom: if botón == z: índ_nom = lista_nom.index(z) elem_btn = lista_btn[índ_nom] elem_btn.config(bg = "Red") msg_error = True contador_fila += 1 contador_fila = 1 for q in lst_fila5_validar: if q in lst_fila5_validar[contador_fila:] and q != "": índ_elemento = lst_fila5_validar.index(q) botón = lst_fila5[índ_elemento] lista_nom = ["50","51","52","53", "54", "55", "56","57", "58"] lista_btn = [BTN_50,BTN_51,BTN_52,BTN_53,BTN_54,BTN_55, BTN_56,BTN_57,BTN_58] for z in lista_nom: if botón == z: índ_nom = lista_nom.index(z) elem_btn = lista_btn[índ_nom] elem_btn.config(bg = "Red") msg_error = True contador_fila += 1 contador_fila = 1 for q in lst_fila6_validar: if q in lst_fila6_validar[contador_fila:] and q != "": índ_elemento = lst_fila6_validar.index(q) botón = lst_fila6[índ_elemento] lista_nom = ["60","61","62","63", "64", "65", "66","67", "68"] lista_btn = [BTN_60,BTN_61,BTN_62,BTN_63,BTN_64,BTN_65, BTN_66,BTN_67,BTN_68] for z in lista_nom: if botón == z: índ_nom = lista_nom.index(z) elem_btn = lista_btn[índ_nom] elem_btn.config(bg = "Red") msg_error = True contador_fila += 1 contador_fila = 1 for q in lst_fila7_validar: if q in lst_fila7_validar[contador_fila:] and q != "": índ_elemento = lst_fila7_validar.index(q) botón = lst_fila7[índ_elemento] lista_nom = ["70","71","72","73", "74", "75", "76","77","78"] lista_btn = [BTN_70,BTN_71,BTN_72,BTN_73,BTN_74,BTN_75, BTN_76,BTN_77,BTN_78] for z in lista_nom: if botón == z: índ_nom = lista_nom.index(z) elem_btn = lista_btn[índ_nom] elem_btn.config(bg = "Red") msg_error = True contador_fila += 1 contador_fila = 1 for q in lst_fila8_validar: if q in lst_fila8_validar[contador_fila:] and q != "": índ_elemento = lst_fila8_validar.index(q) botón = lst_fila8[índ_elemento] lista_nom = ["80","81","82","83", "84", "85", "86","87","88"] lista_btn = [BTN_80,BTN_81,BTN_82,BTN_83,BTN_84,BTN_85, BTN_86,BTN_87,BTN_88] for z in lista_nom: if botón == z: índ_nom = lista_nom.index(z) elem_btn = lista_btn[índ_nom] elem_btn.config(bg = "Red") msg_error = True contador_fila += 1 #A continuación inicia validación de columnas en 9 x 9. contador_columna = 1 for q in lst_columna0_validar: if q in lst_columna0_validar[contador_columna:] and q != "": índ_elemento = lst_columna0_validar.index(q) botón = lst_columna0[índ_elemento] lista_nom = ["00","10","20", "30", "40","50","60","70","80"] lista_btn = [BTN_00,BTN_10,BTN_20,BTN_30,BTN_40,BTN_50,BTN_60,BTN_70,BTN_80] for z in lista_nom: if botón == z: índ_nom = lista_nom.index(z) elem_btn = lista_btn[índ_nom] elem_btn.config(bg = "Red") msg_error = True contador_columna += 1 contador_columna = 1 for q in lst_columna1_validar: if q in lst_columna1_validar[contador_columna:] and q != "": índ_elemento = lst_columna1_validar.index(q) botón = lst_columna1[índ_elemento] lista_nom = ["01","11","21","31","41","51","61","71","81"] lista_btn = [BTN_01,BTN_11,BTN_21,BTN_31,BTN_41,BTN_51,BTN_61,BTN_71,BTN_81] for z in lista_nom: if botón == z: índ_nom = lista_nom.index(z) elem_btn = lista_btn[índ_nom] elem_btn.config(bg = "Red") msg_error = True contador_columna += 1 contador_columna = 1 for q in lst_columna2_validar: if q in lst_columna2_validar[contador_columna:] and q != "": índ_elemento = lst_columna2_validar.index(q) botón = lst_columna2[índ_elemento] lista_nom = ["02","12","22", "32","42","52","62","72","82"] lista_btn = [BTN_02,BTN_12,BTN_22,BTN_32,BTN_42, BTN_52, BTN_62,BTN_72,BTN_82] for z in lista_nom: if botón == z: índ_nom = lista_nom.index(z) elem_btn = lista_btn[índ_nom] elem_btn.config(bg = "Red") msg_error = True contador_columna += 1 contador_columna = 1 for q in lst_columna3_validar: if q in lst_columna3_validar[contador_columna:] and q != "": índ_elemento = lst_columna3_validar.index(q) botón = lst_columna3[índ_elemento] lista_nom = ["03","13","23","33","43","53","63","73","83"] lista_btn = [BTN_03,BTN_13,BTN_23,BTN_33,BTN_43, BTN_53, BTN_63,BTN_73,BTN_83] for z in lista_nom: if botón == z: índ_nom = lista_nom.index(z) elem_btn = lista_btn[índ_nom] elem_btn.config(bg = "Red") msg_error = True contador_columna += 1 contador_columna = 1 for q in lst_columna4_validar: if q in lst_columna4_validar[contador_columna:] and q != "": índ_elemento = lst_columna4_validar.index(q) botón = lst_columna4[índ_elemento] lista_nom = ["04","14","24","34","44","54","64","74","84"] lista_btn = [BTN_04,BTN_14,BTN_24,BTN_34,BTN_44, BTN_54, BTN_64,BTN_74,BTN_84] for z in lista_nom: if botón == z: índ_nom = lista_nom.index(z) elem_btn = lista_btn[índ_nom] elem_btn.config(bg = "Red") msg_error = True contador_columna += 1 contador_columna = 1 for q in lst_columna5_validar: if q in lst_columna5_validar[contador_columna:] and q != "": índ_elemento = lst_columna5_validar.index(q) botón = lst_columna5[índ_elemento] lista_nom = ["05","15","25","35","45","55","65","75","85"] lista_btn = [BTN_05,BTN_15,BTN_25,BTN_35,BTN_45, BTN_55, BTN_65,BTN_75,BTN_85] for z in lista_nom: if botón == z: índ_nom = lista_nom.index(z) elem_btn = lista_btn[índ_nom] elem_btn.config(bg = "Red") msg_error = True contador_columna += 1 contador_columna = 1 for q in lst_columna6_validar: if q in lst_columna6_validar[contador_columna:] and q != "": índ_elemento = lst_columna6_validar.index(q) botón = lst_columna6[índ_elemento] lista_nom = ["06","16","26","36","46","56","66","76","86"] lista_btn = [BTN_06,BTN_16,BTN_26,BTN_36,BTN_46, BTN_56, BTN_66,BTN_76,BTN_86] for z in lista_nom: if botón == z: índ_nom = lista_nom.index(z) elem_btn = lista_btn[índ_nom] elem_btn.config(bg = "Red") msg_error = True contador_columna += 1 contador_columna = 1 for q in lst_columna7_validar: if q in lst_columna7_validar[contador_columna:] and q != "": índ_elemento = lst_columna7_validar.index(q) botón = lst_columna7[índ_elemento] lista_nom = ["07","17","27","37","47","57","67","77","87"] lista_btn = [BTN_07,BTN_17,BTN_27,BTN_37,BTN_47, BTN_57, BTN_67,BTN_77,BTN_87] for z in lista_nom: if botón == z: índ_nom = lista_nom.index(z) elem_btn = lista_btn[índ_nom] elem_btn.config(bg = "Red") msg_error = True contador_columna += 1 contador_columna = 1 for q in lst_columna8_validar: if q in lst_columna8_validar[contador_columna:] and q != "": índ_elemento = lst_columna8_validar.index(q) botón = lst_columna8[índ_elemento] lista_nom = ["08","18","28","38","48","58","68","78","88"] lista_btn = [BTN_08,BTN_18,BTN_28,BTN_38,BTN_48, BTN_58, BTN_68,BTN_78,BTN_88] for z in lista_nom: if botón == z: índ_nom = lista_nom.index(z) elem_btn = lista_btn[índ_nom] elem_btn.config(bg = "Red") msg_error = True contador_columna += 1 if msg_error == True and terminar == False: messagebox.showerror("Error", "Hay errores en el juego.") return for k in lst_validar: for o in k: if o == "": return False if msg_error == False and msg_terminar == True: if terminar == False: registrado = True terminar = True FN_top10(1) if sonido_selec.get() == 1: THRD_FN_sonido_aplausos = Thread (target = FN_sonido_aplausos, args = ()) THRD_FN_sonido_aplausos.start() messagebox.showinfo("Terminado", "¡Felicitaciones, juego completado!") resultado = messagebox.askquestion("Terminar", "¿Desea jugar otro KenKen del mismo nivel?") if resultado == "yes": FN_otro("validar") else: BTN_terminar.config(state = DISABLED) BTN_validar.config(state = DISABLED) BTN_menú_jugar.config(state = NORMAL) return True def FN_WIN_validar_completo (): WIN_menú.withdraw() global WIN_validar_completo WIN_validar_completo.deiconify() WIN_validar_completo.geometry("500x225") WIN_validar_completo.title("Función Extra") WIN_validar_completo.resizable(width = FALSE, height = FALSE) centrar (WIN_validar_completo) WIN_validar_completo.protocol("WM_DELETE_WINDOW", lambda : WIN_validar_completo.destroy()) global validar_completo_respuesta LBL_título = Label(WIN_validar_completo, text = "Validación completa",font = ("Helvetica Neue", 18, "bold")).place(x = 150, y = 10) LBL_validar_completo = Label(WIN_validar_completo, text = "Validar completo:", font = ("Helvetica Neue", 16, "bold")).place(x = 10, y = 60) LBL_menú = Label(WIN_validar_completo, text = "Menú", font = (("Helvetica Neue", 15))).place (x = 181, y = 191) LBL_jugar = Label(WIN_validar_completo, text = "Jugar", font = (("Helvetica Neue", 15))).place (x = 281, y = 191) BTN_menú = Button(WIN_validar_completo, image = IMG_BTN_menú, height = 65, width = 65, borderwidth = 0, command = menú_volver).place (x = 175, y = 127) BTN_jugar = Button(WIN_validar_completo, image = IMG_BTN_WIN_menú_configurar, height = 65, width = 65, borderwidth = 0, command = FN_THRDs).place (x = 275, y = 127) RDB_validar_completo = Radiobutton(WIN_validar_completo, text = "Sí", font = ("Helvetica Neue", 14), variable = validar_completo_respuesta, value = 1).place(x = 195, y = 60) RDB_validar_completo = Radiobutton(WIN_validar_completo, text = "No", font = ("Helvetica Neue", 14), variable = validar_completo_respuesta, value = 0).place(x = 195, y = 90) def FN_validar_completo (): contador = 0 contador2 = 0 índ_operación = 0 lst_operación = [] r = 0 msg_error = False msg_terminar = True sel = nivel_selec.get() if sel == 33: índice = 0 elif sel == 44: índice = 1 elif sel == 55: índice = 2 elif sel == 0: índice = 3 elif sel == 77: índice = 4 elif sel == 88: índice = 5 elif sel == 99: índice = 6 TXT_respuestas = open("Respuestas.txt","r") TXT_respuestas_read = TXT_respuestas.read() string = "[" lista_completa = [] lista_nivel = [] lista_juego = [] contador_nivel = 0 for i in TXT_respuestas_read: if i != "[" and i != "]": string += i contador_control = 1 elif i == "]" and contador_control != 0: string += i lista_nivel.append(eval(string)) string = "[" contador_nivel += 1 if contador_nivel == 4: lista_completa.append(lista_nivel) lista_nivel = [] contador_nivel = 0 contador_control = 0 global registrado global terminar for i in lst_validar: for j in i: if j == "": messagebox.showerror("Error", "Debe completar todas las casillas antes de validar completamente.") return for i in lst_validar: for j in i: if sel == 33: if str(j) != str(lista_completa[índice][elegido][contador][contador2]): botón = str(lst_juego_validar[contador][contador2]) lista_nom = ["23","24","25","33","34","35","43","44","45"] lista_btn = [BTN_23,BTN_24,BTN_25,BTN_33,BTN_34,BTN_35,BTN_43,BTN_44,BTN_45] for p in lista_nom: if botón == str(p): índ_nom = lista_nom.index(p) elem_btn = lista_btn[índ_nom] elem_btn.config(bg = "Red") contador2 += 1 elif sel == 44: if str(j) != str(lista_completa[índice][elegido][contador][contador2]): botón = str(lst_juego_validar[contador][contador2]) lista_nom = ["23","24","25","33","34","35","43","44","45","22","32","42","52","53","54","55"] lista_btn = [BTN_23,BTN_24,BTN_25,BTN_33,BTN_34,BTN_35,BTN_43,BTN_44,BTN_45,BTN_22,BTN_32,BTN_42,BTN_52,BTN_53,BTN_54,BTN_55] for p in lista_nom: if str(botón) == str(p): índ_nom = lista_nom.index(p) elem_btn = lista_btn[índ_nom] elem_btn.config(bg = "Red") contador2 += 1 else: contador2 += 1 elif sel == 55: if str(j) != str(lista_completa[índice][elegido][contador][contador2]): botón = str(lst_juego_validar[contador][contador2]) lista_nom = ["26","36","46","56","62","63","64","65","66","23","24","25","33","34","35","43","44","45","22","32","42","52","53","54","55"] lista_btn = [BTN_26,BTN_36,BTN_46,BTN_56,BTN_62,BTN_63,BTN_64,BTN_65,BTN_66,BTN_23,BTN_24,BTN_25,BTN_33,BTN_34,BTN_35,BTN_43,BTN_44,BTN_45,BTN_22,BTN_32,BTN_42,BTN_52,BTN_53,BTN_54,BTN_55] for p in lista_nom: if str(botón) == str(p): índ_nom = lista_nom.index(p) elem_btn = lista_btn[índ_nom] elem_btn.config(bg = "Red") contador2 += 1 else: contador2 += 1 elif sel == 0: if str(j) != str(lista_completa[índice][elegido][contador][contador2]): botón = str(lst_juego_validar[contador][contador2]) lista_nom = ["11","12","13","14","15","16","21","31","41","51","61","26","36","46","56","62","63","64","65","66","23","24","25","33","34","35","43","44","45","22","32","42","52","53","54","55"] lista_btn = [BTN_11,BTN_12,BTN_13,BTN_14,BTN_15,BTN_16,BTN_21,BTN_31,BTN_41,BTN_51,BTN_61, BTN_26,BTN_36,BTN_46,BTN_56,BTN_62,BTN_63,BTN_64,BTN_65,BTN_66,BTN_23,BTN_24,BTN_25,BTN_33,BTN_34,BTN_35,BTN_43,BTN_44,BTN_45,BTN_22,BTN_32,BTN_42,BTN_52,BTN_53,BTN_54,BTN_55] for p in lista_nom: if str(botón) == str(p): índ_nom = lista_nom.index(p) elem_btn = lista_btn[índ_nom] elem_btn.config(bg = "Red") contador2 += 1 else: contador2 += 1 elif sel == 77: if str(j) != str(lista_completa[índice][elegido][contador][contador2]): botón = str(lst_juego_validar[contador][contador2]) lista_nom = ["17","27","37","47","57","67","71","72","73","74","75","76","77","11","12","13","14","15","16","21","31","41","51","61","26","36","46","56","62","63","64","65","66","23","24","25","33","34","35","43","44","45","22","32","42","52","53","54","55"] lista_btn = [BTN_17,BTN_27,BTN_37,BTN_47,BTN_57,BTN_67,BTN_71,BTN_72,BTN_73,BTN_74,BTN_75,BTN_76,BTN_77,BTN_11,BTN_12,BTN_13,BTN_14,BTN_15,BTN_16,BTN_21,BTN_31,BTN_41,BTN_51,BTN_61, BTN_26,BTN_36,BTN_46,BTN_56,BTN_62,BTN_63,BTN_64,BTN_65,BTN_66,BTN_23,BTN_24,BTN_25,BTN_33,BTN_34,BTN_35,BTN_43,BTN_44,BTN_45,BTN_22,BTN_32,BTN_42,BTN_52,BTN_53,BTN_54,BTN_55] for p in lista_nom: if str(botón) == str(p): índ_nom = lista_nom.index(p) elem_btn = lista_btn[índ_nom] elem_btn.config(bg = "Red") contador2 += 1 else: contador2 += 1 elif sel == 88: if str(j) != str(lista_completa[índice][elegido][contador][contador2]): botón = str(lst_juego_validar[contador][contador2]) lista_nom = ["00","01","02","03","04","05","06","07","10","20","30","40","50","60","70","17","27","37","47","57","67","71","72","73","74","75","76","77","11","12","13","14","15","16","21","31","41","51","61","26","36","46","56","62","63","64","65","66","23","24","25","33","34","35","43","44","45","22","32","42","52","53","54","55"] lista_btn = [BTN_00,BTN_01,BTN_02,BTN_03,BTN_04,BTN_05,BTN_06,BTN_07,BTN_10,BTN_20,BTN_30,BTN_40,BTN_50,BTN_60,BTN_70,BTN_17,BTN_27,BTN_37,BTN_47,BTN_57,BTN_67,BTN_71,BTN_72,BTN_73,BTN_74,BTN_75,BTN_76,BTN_77,BTN_11,BTN_12,BTN_13,BTN_14,BTN_15,BTN_16,BTN_21,BTN_31,BTN_41,BTN_51,BTN_61, BTN_26,BTN_36,BTN_46,BTN_56,BTN_62,BTN_63,BTN_64,BTN_65,BTN_66,BTN_23,BTN_24,BTN_25,BTN_33,BTN_34,BTN_35,BTN_43,BTN_44,BTN_45,BTN_22,BTN_32,BTN_42,BTN_52,BTN_53,BTN_54,BTN_55] for p in lista_nom: if str(botón) == str(p): índ_nom = lista_nom.index(p) elem_btn = lista_btn[índ_nom] elem_btn.config(bg = "Red") contador2 += 1 else: contador2 += 1 elif sel == 99: if str(j) != str(lista_completa[índice][elegido][contador][contador2]): botón = str(lst_juego_validar[contador][contador2]) lista_nom = ["00","01","02","03","04","05","06","07","08","10","11","12","13","14","15","16","17","18","20","21","22","23","24","25","26","27","28","30","31","32","33","34","35","36","37","38","40","41","42","43","44","45","46","47","48","50","51","52","53","54","55","56","57","58","60","61","62","63","64","65","66","67","68","70","71","72","73","74","75","76","77","78","80","81","82","83","84","85","86","87","88"] lista_btn = [BTN_00,BTN_01,BTN_02,BTN_03,BTN_04,BTN_05,BTN_06,BTN_07,BTN_08,BTN_10,BTN_11,BTN_12,BTN_13,BTN_14,BTN_15,BTN_16,BTN_17,BTN_18,BTN_20,BTN_21,BTN_22,BTN_23,BTN_24,BTN_25,BTN_26,BTN_27,BTN_28,BTN_30,BTN_31,BTN_32,BTN_33,BTN_34,BTN_35,BTN_36,BTN_37,BTN_38,BTN_40,BTN_41,BTN_42,BTN_43,BTN_44,BTN_45,BTN_46,BTN_47,BTN_48,BTN_50,BTN_51,BTN_52,BTN_53,BTN_54,BTN_55,BTN_56,BTN_57,BTN_58,BTN_60,BTN_61,BTN_62,BTN_63,BTN_64,BTN_65,BTN_66,BTN_67,BTN_68,BTN_70,BTN_71,BTN_72,BTN_73,BTN_74,BTN_75,BTN_76,BTN_77,BTN_78,BTN_80,BTN_81,BTN_82,BTN_83,BTN_84,BTN_85,BTN_86,BTN_87,BTN_88] for p in lista_nom: if str(botón) == str(p): índ_nom = lista_nom.index(p) elem_btn = lista_btn[índ_nom] elem_btn.config(bg = "Red") contador2 += 1 else: contador2 += 1 contador2 = 0 contador += 1 def FN_BTNS(button): global but_press global otro_juego but_press = button otro_juego = False lista_nom = ["00","01","02","03","04","05","06","07","08","10","11","12","13","14","15","16","17","18","20","21","22","23","24","25","26","27","28","30","31","32","33","34","35","36","37","38","40","41","42","43","44","45","46","47","48","50","51","52","53","54","55","56","57","58","60","61","62","63","64","65","66","67","68","70","71","72","73","74","75","76","77","78","80","81","82","83","84","85","86","87","88"] lista_btn = [BTN_00,BTN_01,BTN_02,BTN_03,BTN_04,BTN_05,BTN_06,BTN_07,BTN_08,BTN_10,BTN_11,BTN_12,BTN_13,BTN_14,BTN_15,BTN_16,BTN_17,BTN_18,BTN_20,BTN_21,BTN_22,BTN_23,BTN_24,BTN_25,BTN_26,BTN_27,BTN_28,BTN_30,BTN_31,BTN_32,BTN_33,BTN_34,BTN_35,BTN_36,BTN_37,BTN_38,BTN_40,BTN_41,BTN_42,BTN_43,BTN_44,BTN_45,BTN_46,BTN_47,BTN_48,BTN_50,BTN_51,BTN_52,BTN_53,BTN_54,BTN_55,BTN_56,BTN_57,BTN_58,BTN_60,BTN_61,BTN_62,BTN_63,BTN_64,BTN_65,BTN_66,BTN_67,BTN_68,BTN_70,BTN_71,BTN_72,BTN_73,BTN_74,BTN_75,BTN_76,BTN_77,BTN_78,BTN_80,BTN_81,BTN_82,BTN_83,BTN_84,BTN_85,BTN_86,BTN_87,BTN_88] for p in lista_nom: if button == p: índ_nom = lista_nom.index(p) elem_btn = lista_btn[índ_nom] elem_btn.config(relief = SUNKEN, bg = "DarkTurquoise") cuadrícula_color() def FN_add (add): if pausa == True: FN_pausa () global but_press a = but_press cuadrícula_color() if a == "": messagebox.showerror("Error", "Primero debe seleccionar una casilla.") return validar(a, add) sel = nivel_selec.get() if sel == 33: lista_nom = ["23","24","25","33","34","35","43","44","45"] lista_btn = [BTN_23,BTN_24,BTN_25,BTN_33,BTN_34,BTN_35,BTN_43,BTN_44,BTN_45] for i in lista_nom: if a == i: índ_nom = lista_nom.index(i) elem_btn = lista_btn[índ_nom] elem_btn.config(text = add, bg = "DarkTurquoise") elif sel == 44: lista_nom = ["23","24","25","33","34","35","43","44","45","22","32","42","52","53","54","55"] lista_btn = [BTN_23,BTN_24,BTN_25,BTN_33,BTN_34,BTN_35,BTN_43,BTN_44,BTN_45,BTN_22,BTN_32,BTN_42,BTN_52,BTN_53,BTN_54,BTN_55] for i in lista_nom: if a == i: índ_nom = lista_nom.index(i) elem_btn = lista_btn[índ_nom] elem_btn.config(text = add, bg = "DarkTurquoise") elif sel == 55: lista_nom = ["26","36","46","56","62","63","64","65","66","23","24","25","33","34","35","43","44","45","22","32","42","52","53","54","55"] lista_btn = [BTN_26,BTN_36,BTN_46,BTN_56,BTN_62,BTN_63,BTN_64,BTN_65,BTN_66,BTN_23,BTN_24,BTN_25,BTN_33,BTN_34,BTN_35,BTN_43,BTN_44,BTN_45,BTN_22,BTN_32,BTN_42,BTN_52,BTN_53,BTN_54,BTN_55] for i in lista_nom: if a == i: índ_nom = lista_nom.index(i) elem_btn = lista_btn[índ_nom] elem_btn.config(text = add, bg = "DarkTurquoise") elif sel == 0: lista_nom = ["11","12","13","14","15","16","21","31","41","51","61","26","36","46","56","62","63","64","65","66","23","24","25","33","34","35","43","44","45","22","32","42","52","53","54","55"] lista_btn = [BTN_11,BTN_12,BTN_13,BTN_14,BTN_15,BTN_16,BTN_21,BTN_31,BTN_41,BTN_51,BTN_61, BTN_26,BTN_36,BTN_46,BTN_56,BTN_62,BTN_63,BTN_64,BTN_65,BTN_66,BTN_23,BTN_24,BTN_25,BTN_33,BTN_34,BTN_35,BTN_43,BTN_44,BTN_45,BTN_22,BTN_32,BTN_42,BTN_52,BTN_53,BTN_54,BTN_55] for i in lista_nom: if a == i: índ_nom = lista_nom.index(i) elem_btn = lista_btn[índ_nom] elem_btn.config(text = add, bg = "DarkTurquoise") elif sel == 77: lista_nom = ["17","27","37","47","57","67","71","72","73","74","75","76","77","11","12","13","14","15","16","21","31","41","51","61","26","36","46","56","62","63","64","65","66","23","24","25","33","34","35","43","44","45","22","32","42","52","53","54","55"] lista_btn = [BTN_17,BTN_27,BTN_37,BTN_47,BTN_57,BTN_67,BTN_71,BTN_72,BTN_73,BTN_74,BTN_75,BTN_76,BTN_77,BTN_11,BTN_12,BTN_13,BTN_14,BTN_15,BTN_16,BTN_21,BTN_31,BTN_41,BTN_51,BTN_61, BTN_26,BTN_36,BTN_46,BTN_56,BTN_62,BTN_63,BTN_64,BTN_65,BTN_66,BTN_23,BTN_24,BTN_25,BTN_33,BTN_34,BTN_35,BTN_43,BTN_44,BTN_45,BTN_22,BTN_32,BTN_42,BTN_52,BTN_53,BTN_54,BTN_55] for i in lista_nom: if a == i: índ_nom = lista_nom.index(i) elem_btn = lista_btn[índ_nom] elem_btn.config(text = add, bg = "DarkTurquoise") elif sel == 88: lista_nom = ["00","01","02","03","04","05","06","07","10","20","30","40","50","60","70","17","27","37","47","57","67","71","72","73","74","75","76","77","11","12","13","14","15","16","21","31","41","51","61","26","36","46","56","62","63","64","65","66","23","24","25","33","34","35","43","44","45","22","32","42","52","53","54","55"] lista_btn = [BTN_00,BTN_01,BTN_02,BTN_03,BTN_04,BTN_05,BTN_06,BTN_07,BTN_10,BTN_20,BTN_30,BTN_40,BTN_50,BTN_60,BTN_70,BTN_17,BTN_27,BTN_37,BTN_47,BTN_57,BTN_67,BTN_71,BTN_72,BTN_73,BTN_74,BTN_75,BTN_76,BTN_77,BTN_11,BTN_12,BTN_13,BTN_14,BTN_15,BTN_16,BTN_21,BTN_31,BTN_41,BTN_51,BTN_61, BTN_26,BTN_36,BTN_46,BTN_56,BTN_62,BTN_63,BTN_64,BTN_65,BTN_66,BTN_23,BTN_24,BTN_25,BTN_33,BTN_34,BTN_35,BTN_43,BTN_44,BTN_45,BTN_22,BTN_32,BTN_42,BTN_52,BTN_53,BTN_54,BTN_55] for i in lista_nom: if a == i: índ_nom = lista_nom.index(i) elem_btn = lista_btn[índ_nom] elem_btn.config(text = add, bg = "DarkTurquoise") elif sel == 99: lista_nom = ["00","01","02","03","04","05","06","07","08","10","11","12","13","14","15","16","17","18","20","21","22","23","24","25","26","27","28","30","31","32","33","34","35","36","37","38","40","41","42","43","44","45","46","47","48","50","51","52","53","54","55","56","57","58","60","61","62","63","64","65","66","67","68","70","71","72","73","74","75","76","77","78","80","81","82","83","84","85","86","87","88"] lista_btn = [BTN_00,BTN_01,BTN_02,BTN_03,BTN_04,BTN_05,BTN_06,BTN_07,BTN_08,BTN_10,BTN_11,BTN_12,BTN_13,BTN_14,BTN_15,BTN_16,BTN_17,BTN_18,BTN_20,BTN_21,BTN_22,BTN_23,BTN_24,BTN_25,BTN_26,BTN_27,BTN_28,BTN_30,BTN_31,BTN_32,BTN_33,BTN_34,BTN_35,BTN_36,BTN_37,BTN_38,BTN_40,BTN_41,BTN_42,BTN_43,BTN_44,BTN_45,BTN_46,BTN_47,BTN_48,BTN_50,BTN_51,BTN_52,BTN_53,BTN_54,BTN_55,BTN_56,BTN_57,BTN_58,BTN_60,BTN_61,BTN_62,BTN_63,BTN_64,BTN_65,BTN_66,BTN_67,BTN_68,BTN_70,BTN_71,BTN_72,BTN_73,BTN_74,BTN_75,BTN_76,BTN_77,BTN_78,BTN_80,BTN_81,BTN_82,BTN_83,BTN_84,BTN_85,BTN_86,BTN_87,BTN_88] for i in lista_nom: if a == i: índ_nom = lista_nom.index(i) elem_btn = lista_btn[índ_nom] elem_btn.config(text = add, bg = "DarkTurquoise") def FN_borrar (): if pausa == True: FN_pausa () global but_press a = but_press if a == "": messagebox.showerror("Error", "Primero debe seleccionar una casilla.") return validar(a, "*") sel = nivel_selec.get() if sel == 33: lista_nom = ["23","24","25","33","34","35","43","44","45"] lista_btn = [BTN_23,BTN_24,BTN_25,BTN_33,BTN_34,BTN_35,BTN_43,BTN_44,BTN_45] for i in lista_nom: if a == i: índ_nom = lista_nom.index(i) elem_btn = lista_btn[índ_nom] elem_btn.config(text = "") elif sel == 44: lista_nom = ["23","24","25","33","34","35","43","44","45","22","32","42","52","53","54","55"] lista_btn = [BTN_23,BTN_24,BTN_25,BTN_33,BTN_34,BTN_35,BTN_43,BTN_44,BTN_45,BTN_22,BTN_32,BTN_42,BTN_52,BTN_53,BTN_54,BTN_55] for i in lista_nom: if a == i: índ_nom = lista_nom.index(i) elem_btn = lista_btn[índ_nom] elem_btn.config(text = "") elif sel == 55: lista_nom = ["26","36","46","56","62","63","64","65","66","23","24","25","33","34","35","43","44","45","22","32","42","52","53","54","55"] lista_btn = [BTN_26,BTN_36,BTN_46,BTN_56,BTN_62,BTN_63,BTN_64,BTN_65,BTN_66,BTN_23,BTN_24,BTN_25,BTN_33,BTN_34,BTN_35,BTN_43,BTN_44,BTN_45,BTN_22,BTN_32,BTN_42,BTN_52,BTN_53,BTN_54,BTN_55] for i in lista_nom: if a == i: índ_nom = lista_nom.index(i) elem_btn = lista_btn[índ_nom] elem_btn.config(text = "") elif sel == 0: lista_nom = ["11","12","13","14","15","16","21","31","41","51","61","26","36","46","56","62","63","64","65","66","23","24","25","33","34","35","43","44","45","22","32","42","52","53","54","55"] lista_btn = [BTN_11,BTN_12,BTN_13,BTN_14,BTN_15,BTN_16,BTN_21,BTN_31,BTN_41,BTN_51,BTN_61, BTN_26,BTN_36,BTN_46,BTN_56,BTN_62,BTN_63,BTN_64,BTN_65,BTN_66,BTN_23,BTN_24,BTN_25,BTN_33,BTN_34,BTN_35,BTN_43,BTN_44,BTN_45,BTN_22,BTN_32,BTN_42,BTN_52,BTN_53,BTN_54,BTN_55] for i in lista_nom: if a == i: índ_nom = lista_nom.index(i) elem_btn = lista_btn[índ_nom] elem_btn.config(text = "") elif sel == 77: lista_nom = ["17","27","37","47","57","67","71","72","73","74","75","76","77","11","12","13","14","15","16","21","31","41","51","61","26","36","46","56","62","63","64","65","66","23","24","25","33","34","35","43","44","45","22","32","42","52","53","54","55"] lista_btn = [BTN_17,BTN_27,BTN_37,BTN_47,BTN_57,BTN_67,BTN_71,BTN_72,BTN_73,BTN_74,BTN_75,BTN_76,BTN_77,BTN_11,BTN_12,BTN_13,BTN_14,BTN_15,BTN_16,BTN_21,BTN_31,BTN_41,BTN_51,BTN_61, BTN_26,BTN_36,BTN_46,BTN_56,BTN_62,BTN_63,BTN_64,BTN_65,BTN_66,BTN_23,BTN_24,BTN_25,BTN_33,BTN_34,BTN_35,BTN_43,BTN_44,BTN_45,BTN_22,BTN_32,BTN_42,BTN_52,BTN_53,BTN_54,BTN_55] for i in lista_nom: if a == i: índ_nom = lista_nom.index(i) elem_btn = lista_btn[índ_nom] elem_btn.config(text = "") elif sel == 88: lista_nom = ["00","01","02","03","04","05","06","07","10","20","30","40","50","60","70","17","27","37","47","57","67","71","72","73","74","75","76","77","11","12","13","14","15","16","21","31","41","51","61","26","36","46","56","62","63","64","65","66","23","24","25","33","34","35","43","44","45","22","32","42","52","53","54","55"] lista_btn = [BTN_00,BTN_01,BTN_02,BTN_03,BTN_04,BTN_05,BTN_06,BTN_07,BTN_10,BTN_20,BTN_30,BTN_40,BTN_50,BTN_60,BTN_70,BTN_17,BTN_27,BTN_37,BTN_47,BTN_57,BTN_67,BTN_71,BTN_72,BTN_73,BTN_74,BTN_75,BTN_76,BTN_77,BTN_11,BTN_12,BTN_13,BTN_14,BTN_15,BTN_16,BTN_21,BTN_31,BTN_41,BTN_51,BTN_61, BTN_26,BTN_36,BTN_46,BTN_56,BTN_62,BTN_63,BTN_64,BTN_65,BTN_66,BTN_23,BTN_24,BTN_25,BTN_33,BTN_34,BTN_35,BTN_43,BTN_44,BTN_45,BTN_22,BTN_32,BTN_42,BTN_52,BTN_53,BTN_54,BTN_55] for i in lista_nom: if a == i: índ_nom = lista_nom.index(i) elem_btn = lista_btn[índ_nom] elem_btn.config(text = "") elif sel == 99: lista_nom = ["00","01","02","03","04","05","06","07","08","10","11","12","13","14","15","16","17","18","20","21","22","23","24","25","26","27","28","30","31","32","33","34","35","36","37","38","40","41","42","43","44","45","46","47","48","50","51","52","53","54","55","56","57","58","60","61","62","63","64","65","66","67","68","70","71","72","73","74","75","76","77","78","80","81","82","83","84","85","86","87","88"] lista_btn = [BTN_00,BTN_01,BTN_02,BTN_03,BTN_04,BTN_05,BTN_06,BTN_07,BTN_08,BTN_10,BTN_11,BTN_12,BTN_13,BTN_14,BTN_15,BTN_16,BTN_17,BTN_18,BTN_20,BTN_21,BTN_22,BTN_23,BTN_24,BTN_25,BTN_26,BTN_27,BTN_28,BTN_30,BTN_31,BTN_32,BTN_33,BTN_34,BTN_35,BTN_36,BTN_37,BTN_38,BTN_40,BTN_41,BTN_42,BTN_43,BTN_44,BTN_45,BTN_46,BTN_47,BTN_48,BTN_50,BTN_51,BTN_52,BTN_53,BTN_54,BTN_55,BTN_56,BTN_57,BTN_58,BTN_60,BTN_61,BTN_62,BTN_63,BTN_64,BTN_65,BTN_66,BTN_67,BTN_68,BTN_70,BTN_71,BTN_72,BTN_73,BTN_74,BTN_75,BTN_76,BTN_77,BTN_78,BTN_80,BTN_81,BTN_82,BTN_83,BTN_84,BTN_85,BTN_86,BTN_87,BTN_88] for i in lista_nom: if a == i: índ_nom = lista_nom.index(i) elem_btn = lista_btn[índ_nom] elem_btn.config(text = "") def FN_sonido_aplausos(): #Reproduce el sonido de aplausos si el usuario lo seleccionó. winsound.PlaySound("SOUND_aplausos.wav", winsound.SND_FILENAME) #———————————————————————————————————————————————————————————Fin Cuadrícula—————————————————————————————————————————————————————————# #—————————————————————————————————————————————————————————————Terminar—————————————————————————————————————————————————————————————# def FN_terminar (): if iniciado == False: messagebox.showerror("Error", "El juego no se ha iniciado.") return global pausa if pausa == False: pausa = True resultado = messagebox.askquestion("Finalizar", "¿Está seguro de terminar el juego?") if resultado == "yes": global terminar terminar = True correcto = FN_validar () if correcto == True and registrado == False: resultado2 = messagebox.askquestion("Guardar", "El juego está completo y correcto. ¿Desea guardar las estadísticas del juego?") if resultado2 == "yes": FN_top10 (1) global juego_num juego_num = 0 WIN_jugar.withdraw() WIN_menú.deiconify() else: if pausa == True: pausa = False #———————————————————————————————————————————————————————————Fin Terminar———————————————————————————————————————————————————————————# #——————————————————————————————————————————————————————————————Top 10——————————————————————————————————————————————————————————————# def FN_top10 (a): #TXT_top10 = eval(open("Top10.txt", "r").read()) #Abre el archivo, lo lee y lo convierte en diccionario. sel = nivel_selec.get() if sel == 33: índice = 0 elif sel == 44: índice = 1 elif sel == 55: índice = 2 elif sel == 0: índice = 3 elif sel == 77: índice = 4 elif sel == 88: índice = 5 elif sel == 99: índice = 6 kenken_top10 = open("kenken_top10.dat","r") kenken_top10_read = kenken_top10.read() string = "" lista = [] for i in kenken_top10_read: if i != "]": string += i else: string += i if string == "]": break while string[1] == "[": string = string[1:] while string[0] != "[": string = string[1:] lista.append(eval(string)) string = "" lst_nivel = lista[índice] global h global m global s global h2 global m2 global s2 if a == 1: #¿Escribir? FN_pausa() if a == 1 and timer_estado == False and clock_estado == True: h2 = h m2 = m s2 = s elif a == 1 and timer_estado == True and clock_estado == True: h2 = (h + h2) - h2 m2 = (m + m2) - m2 s2 = (s + s2) - s2 contador = 0 agregado = 0 name = nombre.get() if h2 < 9: str_hora = "0" + str(h2) else: str_hora = str(h2) if m2 < 9: str_minuto = "0" + str(m2) else: str_minuto = str(m2) if s2 < 9: str_segundo = "0" + str(s2) else: str_segundo = str(s2) tiempo = str_hora + str_minuto + str_segundo if len(lst_nivel) < 10: if len(lst_nivel) == 0: lst_nivel.insert(contador, (name, tiempo)) else: for j in lst_nivel: if int(j[1]) > int(tiempo): lst_nivel.insert(contador, (name, tiempo)) agregado = 1 break elif int(j[1]) == int(tiempo): lst_nivel.insert(contador + 1, (name, tiempo)) agregado = 1 break contador += 1 if agregado == 0: lst_nivel.append((name, tiempo)) contador = 0 agregado = 0 else: for j in lst_nivel: if int(j[1]) > int(tiempo): lst_nivel.pop(contador) lst_nivel.insert(contador, (name, tiempo)) break elif int(j[1]) == int(tiempo): lst_nivel.insert(contador + 1, (name, tiempo)) lst_nivel.pop() agregado = 1 break contador += 1 contador = 0 kenken_top10 = open("kenken_top10.dat","w") kenken_top10.write(str(lista)) else: y = 70 pos = 1 for k in lst_nivel: name = k[0] tiempo = k[1] lbl_top10 = Label(WIN_top10, text = str(pos) + ". " + name, font = (("Helvetica Neue", 12))).place (x = 5, y = y) lbl_top10_tiempo = Label(WIN_top10, text = tiempo[:2] + " : " + tiempo[2:4] + " : " + tiempo[4:], font = (("Helvetica Neue", 12))).place (x = 416, y = y) pos += 1 y += 30 def WIN_top10 (): #WIN_jugar.withdraw() global WIN_top10 WIN_top10 = Toplevel() WIN_top10.geometry("620x370") WIN_top10.title("Top 10") WIN_top10.resizable(width = FALSE, height = FALSE) centrar (WIN_top10) WIN_top10.protocol("WM_DELETE_WINDOW", lambda : WIN_top10.destroy()) sel = nivel_selec.get() if sel == 33: top_lvl = "3 x 3" elif sel == 44: top_lvl = "4 x 4" elif sel == 55: top_lvl = "5 x 5" elif sel == 0: top_lvl = "6 x 6" elif sel == 77: top_lvl = "7 x 7" elif sel == 88: top_lvl = "8 x 8" elif sel == 99: top_lvl = "9 x 9" LBL_título = Label(WIN_top10, text = "Top 10 - " + top_lvl, font = (("Helvetica Neue", 16, "bold"))).place (x = 260, y = 10) LBL_nombre = Label(WIN_top10, text = "Nombre", font = (("Helvetica Neue", 13, "bold"))).place (x = 5, y = 40) LBL_horas = Label(WIN_top10, text = "Horas", font = (("Helvetica Neue", 13, "bold"))).place (x = 400, y = 40) LBL_minutos = Label(WIN_top10, text = "Minutos", font = (("Helvetica Neue", 13, "bold"))).place (x = 461, y = 40) LBL_segundos = Label(WIN_top10, text = "Segundos", font = (("Helvetica Neue", 13, "bold"))).place (x = 534, y = 40) FN_top10(0) #————————————————————————————————————————————————————————————Fin Top 10————————————————————————————————————————————————————————————# #————————————————————————————————————————————————————————————————————Fin Ventana Jugar——————————————————————————————————————————————————————————————————# #———————————————————————————————————————————————————————————————————Ventana Configurar——————————————————————————————————————————————————————————————————# def FN_WIN_configurar (): WIN_menú.withdraw() global WIN_configurar WIN_configurar = Toplevel() WIN_configurar.protocol("WM_DELETE_WINDOW", lambda : WIN_configurar.destroy()) WIN_configurar.geometry("600x600") WIN_configurar.title("Configurar KENKEN") WIN_configurar.resizable(width = FALSE, height = FALSE) centrar (WIN_configurar) global nivel_selec nivel_selec = IntVar() global reloj_selec reloj_selec = IntVar() global lado_selec lado_selec = IntVar() global sonido_selec sonido_selec = IntVar() BTN_menú = Button(WIN_configurar, image = IMG_BTN_menú, height = 65, width = 65, borderwidth = 0, command = menú_volver).place (x = 210, y = 500) BTN_jugar = Button(WIN_configurar, image = IMG_BTN_WIN_menú_configurar, height = 65, width = 65, borderwidth = 0, command = FN_WIN_jugar).place (x = 320, y = 500) LBL_título = Label(WIN_configurar, text = "Configuración", font = ("Helvetica Neue", 18, "bold")).place(x = 220, y = 10) LBL_nivel = Label(WIN_configurar, text = "Nivel", font = ("Helvetica Neue", 14, "bold")).place(x = 27, y = 55) LBL_reloj = Label(WIN_configurar, text = "Reloj", font = ("Helvetica Neue", 14, "bold")).place(x = 170, y = 55) LBL_panel_pos = Label(WIN_configurar, text = "Posición del panel de números y el borrador:", font = ("Helvetica Neue", 13, "bold")).place(x = 27, y = 370) LBL_sonido = Label(WIN_configurar, text = "Sonido cuando termina el juego exitosamente:", font = ("Helvetica Neue", 13, "bold")).place(x = 27, y = 440) LBL_menú = Label(WIN_configurar, text = "Menú", font = ("Helvetica Neue", 12)).place(x = 221, y = 566) LBL_jugar = Label(WIN_configurar, text = "Jugar", font = ("Helvetica Neue", 12)).place(x = 331, y = 566) RDB_nivel_3x3 = Radiobutton(WIN_configurar, text = "3 x 3", font = ("Helvetica Neue", 14), variable = nivel_selec, value = 33).place(x = 27, y = 85) RDB_nivel_4x4 = Radiobutton(WIN_configurar, text = "4 x 4", font = ("Helvetica Neue", 14), variable = nivel_selec, value = 44).place(x = 27, y = 115) RDB_nivel_5x5 = Radiobutton(WIN_configurar, text = "5 x 5", font = ("Helvetica Neue", 14), variable = nivel_selec, value = 55).place(x = 27, y = 145) RDB_nivel_6x6 = Radiobutton(WIN_configurar, text = "6 x 6", font = ("Helvetica Neue", 14), variable = nivel_selec, value = 0).place(x = 27, y = 175) RDB_nivel_7x7 = Radiobutton(WIN_configurar, text = "7 x 7", font = ("Helvetica Neue", 14), variable = nivel_selec, value = 77).place(x = 27, y = 205) RDB_nivel_8x8 = Radiobutton(WIN_configurar, text = "8 x 8", font = ("Helvetica Neue", 14), variable = nivel_selec, value = 88).place(x = 27, y = 235) RDB_nivel_9x9 = Radiobutton(WIN_configurar, text = "9 x 9", font = ("Helvetica Neue", 14), variable = nivel_selec, value = 99).place(x = 27, y = 265) RDB_reloj_sí = Radiobutton(WIN_configurar, text = "Sí", font = ("Helvetica Neue", 14), variable = reloj_selec, value = 0).place(x = 170, y = 85) RDB_reloj_no = Radiobutton(WIN_configurar, text = "No", font = ("Helvetica Neue", 14), variable = reloj_selec, value = 1).place(x = 170, y = 115) RDB_reloj_timer = Radiobutton(WIN_configurar, text = "Timer", font = ("Helvetica Neue", 14), variable = reloj_selec, value = 2, command = FN_timer_configurar).place(x = 170, y = 145) RDB_derecha = Radiobutton(WIN_configurar, text = "Derecha", font = ("Helvetica Neue", 14), variable = lado_selec, value = 0).place(x = 392 , y = 366) RDB_izquierda = Radiobutton(WIN_configurar, text = "Izquierda", font = ("Helvetica Neue", 14), variable = lado_selec, value = 1).place(x = 392 , y = 396) RBD_sonido_no = Radiobutton(WIN_configurar, text = "No", font = ("Helvetica Neue", 14), variable = sonido_selec, value = 0).place(x = 392 , y = 436) RBD_sonido_sí = Radiobutton(WIN_configurar, text = "Sí", font = ("Helvetica Neue", 14), variable = sonido_selec, value = 1).place(x = 392 , y = 466) def menú_volver (): #Regresar al menú principal, lo utilizan las WIN jugar, configurar, validar y ayuda. global juego_num global iniciado iniciado = False if reloj_selec.get() == 2 and juego_num == 0: if default_horas.get() == "0" and default_minutos.get() == "0" and default_segundos.get() == "0": messagebox.showerror("Error", "Si selecciona el timer los segundos, los minutos o las horas deben ser mayores a 0.") return juego_num = 0 WIN_jugar.withdraw() WIN_configurar.withdraw() WIN_validar_completo.withdraw() WIN_ayuda.withdraw() WIN_menú.deiconify() def FN_timer_configurar (): global default_horas default_horas = StringVar() global default_minutos default_minutos = StringVar() global default_segundos default_segundos = StringVar() default_horas.set("0")#Valor default de los SPNBX. default_minutos.set("0") default_segundos.set("0") LBL_horas = Label(WIN_configurar, text = "Horas", font = ("Helvetica Neue", 13)).place(x = 300, y = 55) LBL_minutos = Label(WIN_configurar, text = "Minutos", font = ("Helvetica Neue", 13)).place(x = 355, y = 55) LBL_segundos = Label(WIN_configurar, text = "Segundos", font = ("Helvetica Neue", 13)).place(x = 420, y = 55) LBL_sugeridos = Label(WIN_configurar, text = "Tiempos sugeridos:", font = ("Helvetica Neue", 13)).place(x = 300, y = 130) SPNBX_horas = Spinbox(WIN_configurar, width = 2, font = ("Helvetica Neue", 12), from_ = 0, to = 3, textvariable = default_horas, wrap = True).place(x = 308, y = 90) SPNBX_minutos = Spinbox(WIN_configurar, width = 2, font = ("Helvetica Neue", 12), from_ = 0, to = 59, textvariable = default_minutos, wrap = True).place(x = 370, y = 90) SPNBX_segundos = Spinbox(WIN_configurar, width = 2, font = ("Helvetica Neue", 12), from_ = 0, to = 59, textvariable = default_segundos, wrap = True).place(x = 440, y = 90) LBL_sugerido3x3 = Label(WIN_configurar, text = "• Para el nivel 3 x 3: 5 minutos.", font = ("Helvetica Neue", 11)).place(x = 300, y = 160) LBL_sugerido4x4 = Label(WIN_configurar, text = "• Para el nivel 4 x 4: 10 minutos.", font = ("Helvetica Neue", 11)).place(x = 300, y = 190) LBL_sugerido5x5 = Label(WIN_configurar, text = "• Para el nivel 5 x 5: 20 minutos.", font = ("Helvetica Neue", 11)).place(x = 300, y = 220) LBL_sugerido6x6 = Label(WIN_configurar, text = "• Para el nivel 6 x 6: 25 minutos.", font = ("Helvetica Neue", 11)).place(x = 300, y = 250) LBL_sugerido7x7 = Label(WIN_configurar, text = "• Para el nivel 7 x 7: 30 minutos.", font = ("Helvetica Neue", 11)).place(x = 300, y = 280) LBL_sugerido8x8 = Label(WIN_configurar, text = "• Para el nivel 8 x 8: 35 minutos.", font = ("Helvetica Neue", 11)).place(x = 300, y = 310) LBL_sugerido9x9 = Label(WIN_configurar, text = "• Para el nivel 9 x 9: 40 minutos.", font = ("Helvetica Neue", 11)).place(x = 300, y = 340) def FN_timer (): global timer_estado timer_estado = True global resultado resultado = "" global h global m global s global h2 h2 = 0 global m2 m2 = 0 global s2 s2 = 0 h = int(default_horas.get()) m = int(default_minutos.get()) s = int(default_segundos.get()) while h != 0 or m != 0 or s >= 0: if terminar == True: LBL_clock = Label(WIN_jugar, text = " "+"0"+ "0" + " " + "0"+ "0" + " " + "0"+ "0" +" ", font = ("Helvetica Neue", 16)).place(x = 774, y = 44) return if pausa == False: if s < 10 and m < 10 and h < 10: LBL_segundos = Label(WIN_jugar, text = " "+"0"+str(h) + " " + "0"+str(m) + " " + "0"+str(s)+" ", font = ("Helvetica Neue", 16)).place(x = 774, y = 44) elif s >= 10 and m < 10 and h < 10: LBL_segundos = Label(WIN_jugar, text = " "+"0"+str(h) + " " + "0"+str(m) + " " + str(s)+" ", font = ("Helvetica Neue", 16)).place(x = 774, y = 44) elif s >= 10 and m >= 10 and h < 10: LBL_segundos = Label(WIN_jugar, text = " "+"0"+str(h) + " " + str(m) + " " + str(s)+" ", font = ("Helvetica Neue", 16)).place(x = 774, y = 44) elif s < 10 and m < 10 and h >= 10: LBL_segundos = Label(WIN_jugar, text = " "+str(h) + " " + "0"+str(m) + " " + "0"+str(s)+" ", font = ("Helvetica Neue", 16)).place(x = 774, y = 44) elif s < 10 and m >= 10 and h >= 10: LBL_segundos = Label(WIN_jugar, text = " "+str(h) + " " + str(m) + " " + "0"+str(s)+" ", font = ("Helvetica Neue", 16)).place(x = 774, y = 44) elif s < 10 and m >= 10 and h < 10: LBL_segundos = Label(WIN_jugar, text = " "+"0"+str(h) + " " + str(m) + " " + "0"+str(s)+" ", font = ("Helvetica Neue", 16)).place(x = 774, y = 44) else: LBL_segundos = Label(WIN_jugar, text = " "+str(h) + " " + str(m) + " " + str(s)+" ", font = ("Helvetica Neue", 16)).place(x = 774, y = 44) time.sleep(0.99) s2 += 1 if m2 == 59 and s == 60: h2 += 1 m2 = 0 s2 = 0 elif s2 == 60: m2 += 1 s2 = 0 if m > 0 and s == 0: m -= 1 s = 59 elif h > 0 and m == 0 and s == 0: h -= 1 m = 59 s = 59 elif h == 0 and m == 0 and s == 0: h = int(default_horas.get()) m = int(default_minutos.get()) s = int(default_segundos.get()) if terminar == False and iniciado == True: resultado = messagebox.askquestion("Tiempo agotado", "El timer finalizó. ¿Desea continuar?") if resultado == "yes": clock() return messagebox.showinfo("Terminado", "Juego terminado.") return s -= 1 def FN_otro (a): global juego_num global otro_juego global terminar global iniciado global but_press global h global m global s if a == "otro": if iniciado == False: messagebox.showerror("Error", "El juego no se ha iniciado.") return resultado = messagebox.askquestion("Otro juego", "¿Está seguro de terminar este juego y empezar con otro?") else: resultado = "yes" if resultado == "yes": terminar = True iniciado = False but_press = "" h = 0 m = 0 s = 0 WIN_jugar.withdraw() if len(juegos_probables) == 0: juego_num = 0 otro_juego = True FN_THRDs() def FN_reiniciar (): global terminar global iniciado global otro_juego global but_press global h global m global s if iniciado == False: messagebox.showerror("Error", "El juego no se ha iniciado.") return resultado = messagebox.askquestion("Reiniciar", "¿Está seguro de reiniciar el juego? Perderá todo el progreso.") if resultado == "yes": terminar = True iniciado = False otro_juego = False but_press = "" h = 0 m = 0 s = 0 BTN_iniciar.config(state = NORMAL) TXT_nombre.config(state = NORMAL) BTN_terminar.config(state = NORMAL) BTN_validar.config(state = NORMAL) BTN_menú_jugar.config(state = DISABLED) but_press = "" cuadrícula_color() sel = nivel_selec.get() if sel == 33: lista_nom = ["23","24","25","33","34","35","43","44","45"] lista_btn = [BTN_23,BTN_24,BTN_25,BTN_33,BTN_34,BTN_35,BTN_43,BTN_44,BTN_45] for i in lista_nom: índ_nom = lista_nom.index(i) elem_btn = lista_btn[índ_nom] elem_btn.config(text = "", state = DISABLED) elif sel == 44: lista_nom = ["23","24","25","33","34","35","43","44","45","22","32","42","52","53","54","55"] lista_btn = [BTN_23,BTN_24,BTN_25,BTN_33,BTN_34,BTN_35,BTN_43,BTN_44,BTN_45,BTN_22,BTN_32,BTN_42,BTN_52,BTN_53,BTN_54,BTN_55] for i in lista_nom: índ_nom = lista_nom.index(i) elem_btn = lista_btn[índ_nom] elem_btn.config(text = "", state = DISABLED) elif sel == 55: lista_nom = ["26","36","46","56","62","63","64","65","66","23","24","25","33","34","35","43","44","45","22","32","42","52","53","54","55"] lista_btn = [BTN_26,BTN_36,BTN_46,BTN_56,BTN_62,BTN_63,BTN_64,BTN_65,BTN_66,BTN_23,BTN_24,BTN_25,BTN_33,BTN_34,BTN_35,BTN_43,BTN_44,BTN_45,BTN_22,BTN_32,BTN_42,BTN_52,BTN_53,BTN_54,BTN_55] for i in lista_nom: índ_nom = lista_nom.index(i) elem_btn = lista_btn[índ_nom] elem_btn.config(text = "", state = DISABLED) elif sel == 0: lista_nom = ["11","12","13","14","15","16","21","31","41","51","61","26","36","46","56","62","63","64","65","66","23","24","25","33","34","35","43","44","45","22","32","42","52","53","54","55"] lista_btn = [BTN_11,BTN_12,BTN_13,BTN_14,BTN_15,BTN_16,BTN_21,BTN_31,BTN_41,BTN_51,BTN_61, BTN_26,BTN_36,BTN_46,BTN_56,BTN_62,BTN_63,BTN_64,BTN_65,BTN_66,BTN_23,BTN_24,BTN_25,BTN_33,BTN_34,BTN_35,BTN_43,BTN_44,BTN_45,BTN_22,BTN_32,BTN_42,BTN_52,BTN_53,BTN_54,BTN_55] for i in lista_nom: índ_nom = lista_nom.index(i) elem_btn = lista_btn[índ_nom] elem_btn.config(text = "", state = DISABLED) elif sel == 77: lista_nom = ["17","27","37","47","57","67","71","72","73","74","75","76","77","11","12","13","14","15","16","21","31","41","51","61","26","36","46","56","62","63","64","65","66","23","24","25","33","34","35","43","44","45","22","32","42","52","53","54","55"] lista_btn = [BTN_17,BTN_27,BTN_37,BTN_47,BTN_57,BTN_67,BTN_71,BTN_72,BTN_73,BTN_74,BTN_75,BTN_76,BTN_77,BTN_11,BTN_12,BTN_13,BTN_14,BTN_15,BTN_16,BTN_21,BTN_31,BTN_41,BTN_51,BTN_61, BTN_26,BTN_36,BTN_46,BTN_56,BTN_62,BTN_63,BTN_64,BTN_65,BTN_66,BTN_23,BTN_24,BTN_25,BTN_33,BTN_34,BTN_35,BTN_43,BTN_44,BTN_45,BTN_22,BTN_32,BTN_42,BTN_52,BTN_53,BTN_54,BTN_55] for i in lista_nom: índ_nom = lista_nom.index(i) elem_btn = lista_btn[índ_nom] elem_btn.config(text = "", state = DISABLED) elif sel == 88: lista_nom = ["00","01","02","03","04","05","06","07","10","20","30","40","50","60","70","17","27","37","47","57","67","71","72","73","74","75","76","77","11","12","13","14","15","16","21","31","41","51","61","26","36","46","56","62","63","64","65","66","23","24","25","33","34","35","43","44","45","22","32","42","52","53","54","55"] lista_btn = [BTN_00,BTN_01,BTN_02,BTN_03,BTN_04,BTN_05,BTN_06,BTN_07,BTN_10,BTN_20,BTN_30,BTN_40,BTN_50,BTN_60,BTN_70,BTN_17,BTN_27,BTN_37,BTN_47,BTN_57,BTN_67,BTN_71,BTN_72,BTN_73,BTN_74,BTN_75,BTN_76,BTN_77,BTN_11,BTN_12,BTN_13,BTN_14,BTN_15,BTN_16,BTN_21,BTN_31,BTN_41,BTN_51,BTN_61, BTN_26,BTN_36,BTN_46,BTN_56,BTN_62,BTN_63,BTN_64,BTN_65,BTN_66,BTN_23,BTN_24,BTN_25,BTN_33,BTN_34,BTN_35,BTN_43,BTN_44,BTN_45,BTN_22,BTN_32,BTN_42,BTN_52,BTN_53,BTN_54,BTN_55] for i in lista_nom: índ_nom = lista_nom.index(i) elem_btn = lista_btn[índ_nom] elem_btn.config(text = "", state = DISABLED) elif sel == 99: lista_nom = ["00","01","02","03","04","05","06","07","08","10","11","12","13","14","15","16","17","18","20","21","22","23","24","25","26","27","28","30","31","32","33","34","35","36","37","38","40","41","42","43","44","45","46","47","48","50","51","52","53","54","55","56","57","58","60","61","62","63","64","65","66","67","68","70","71","72","73","74","75","76","77","78","80","81","82","83","84","85","86","87","88"] lista_btn = [BTN_00,BTN_01,BTN_02,BTN_03,BTN_04,BTN_05,BTN_06,BTN_07,BTN_08,BTN_10,BTN_11,BTN_12,BTN_13,BTN_14,BTN_15,BTN_16,BTN_17,BTN_18,BTN_20,BTN_21,BTN_22,BTN_23,BTN_24,BTN_25,BTN_26,BTN_27,BTN_28,BTN_30,BTN_31,BTN_32,BTN_33,BTN_34,BTN_35,BTN_36,BTN_37,BTN_38,BTN_40,BTN_41,BTN_42,BTN_43,BTN_44,BTN_45,BTN_46,BTN_47,BTN_48,BTN_50,BTN_51,BTN_52,BTN_53,BTN_54,BTN_55,BTN_56,BTN_57,BTN_58,BTN_60,BTN_61,BTN_62,BTN_63,BTN_64,BTN_65,BTN_66,BTN_67,BTN_68,BTN_70,BTN_71,BTN_72,BTN_73,BTN_74,BTN_75,BTN_76,BTN_77,BTN_78,BTN_80,BTN_81,BTN_82,BTN_83,BTN_84,BTN_85,BTN_86,BTN_87,BTN_88] for i in lista_nom: índ_nom = lista_nom.index(i) elem_btn = lista_btn[índ_nom] elem_btn.config(text = "", state = DISABLED) #—————————————————————————————————————————————————————————————————Fin Ventana Configurar————————————————————————————————————————————————————————————————# #—————————————————————————————————————————————————————————————————————Ventana Ayuda—————————————————————————————————————————————————————————————————————# def FN_WIN_ayuda (): WIN_menú.withdraw() global WIN_ayuda WIN_ayuda = Toplevel() WIN_ayuda.protocol("WM_DELETE_WINDOW", lambda : WIN_ayuda.destroy()) WIN_ayuda.geometry("300x400") WIN_ayuda.title("Ayuda KENKEN") WIN_ayuda.resizable(width = FALSE, height = FALSE) centrar (WIN_ayuda) LBL_título = Label(WIN_ayuda, text = "KenKen", font = ("Helvetica Neue", 18, "bold")).place(x = 101, y = 5) LBL_función = Label(WIN_ayuda, text = "Pasatiempo Aritmético", font = ("Helvetica Neue", 14)).place(x = 51, y = 35) LBL_desarrollador = Label(WIN_ayuda, text = "Desarrollador", font = ("Helvetica Neue", 12, "underline")).place(x = 97, y = 84) LBL_autor = Label(WIN_ayuda, text = "José Daniel Delgado Segura", font = ("Helvetica Neue", 12, "bold")).place(x = 37, y = 108) LBL_correo = Label(WIN_ayuda, text = "Correo electrónico", font = ("Helvetica Neue", 12, "underline")).place(x = 80, y = 137) LBL_gmail = Label(WIN_ayuda, text = "jddsegura14@gmail.com", font = ("Helvetica Neue", 12, "bold")).place(x = 53, y = 161) LBL_fecha = Label(WIN_ayuda, text = "KenKen 1.0\n21-05-2015", font = ("Helvetica Neue", 10)).place(x = 115, y = 190) LBL_menú = Label(WIN_ayuda, text = "Menú", font = ("Helvetica Neue", 12)).place(x = 221, y = 566) BTN_menú = Button(WIN_ayuda, image = IMG_BTN_menú, height = 65, width = 65, borderwidth = 0, command = menú_volver).place (x = 70, y = 240) BTN_manual = Button(WIN_ayuda, image = IMG_BTN_WIN_ayuda_manual, height = 65, width = 65, borderwidth = 0, command = lambda : os.startfile("kenken_manual_de_usuario.pdf")).place (x = 165, y = 240) #———————————————————————————————————————————————————————————————————Fin Ventana Ayuda———————————————————————————————————————————————————————————————————# #————————————————————————————————————————————————————————————————————Programa Principal—————————————————————————————————————————————————————————————————# from tkinter import * from threading import * import os #Se utiliza en las funciones: FN_timer, clock, FN_WIN_jugar. import time #Se utiliza en las funciones: FN_timer, clock, FN_WIN_jugar. import random #Se utiliza en la función: FN_juegos_probables. import winsound #Se utiliza en la función: FN_validar. WIN_menú = Tk() WIN_menú.geometry("600x460") WIN_menú.title("KENKEN") WIN_menú.resizable(width = FALSE, height = FALSE) centrar (WIN_menú) WIN_menú.protocol("WM_DELETE_WINDOW", lambda : WIN_menú.destroy()) #-------------------Asignación Variables Programa Principal-------------------# global IMG_BTN_WIN_menú_jugar IMG_BTN_WIN_menú_jugar = PhotoImage(file = "IMG_BTN_WIN_menú_jugar.png") global IMG_BTN_WIN_menú_configurar IMG_BTN_WIN_menú_configurar = PhotoImage(file = "IMG_BTN_WIN_menú_configurar.png") global IMG_BTN_WIN_menú_config IMG_BTN_WIN_menú_config = PhotoImage(file = "IMG_BTN_WIN_menú_config.png") global IMG_BTN_WIN_menú_adici IMG_BTN_WIN_menú_adici = PhotoImage(file = "IMG_BTN_WIN_menú_adici.png") global IMG_BTN_WIN_menú_ayuda IMG_BTN_WIN_menú_ayuda = PhotoImage(file = "IMG_BTN_WIN_menú_ayuda.png") global IMG_BTN_WIN_menú_salir IMG_BTN_WIN_menú_salir = PhotoImage(file = "IMG_BTN_WIN_menú_salir.png") global IMG_BTN_menú IMG_BTN_menú = PhotoImage(file = "IMG_BTN_menú.png") global IMG_BTN_WIN_jugar_borrar IMG_BTN_WIN_jugar_borrar = PhotoImage(file = "IMG_BTN_WIN_jugar_borrar.png") global IMG_BTN_WIN_validar_completo IMG_BTN_WIN_validar_completo = PhotoImage(file = "IMG_BTN_WIN_validar_completo.png") global IMG_BTN_WIN_ayuda_manual IMG_BTN_WIN_ayuda_manual = PhotoImage(file = "IMG_BTN_WIN_ayuda_manual.png") global IMG_BTN_num1 IMG_BTN_num1 = PhotoImage(file = "BTN_num1.png") global IMG_BTN_num2 IMG_BTN_num2 = PhotoImage(file = "BTN_num2.png") global IMG_BTN_num3 IMG_BTN_num3 = PhotoImage(file = "BTN_num3.png") global IMG_BTN_num4 IMG_BTN_num4 = PhotoImage(file = "BTN_num4.png") global IMG_BTN_num5 IMG_BTN_num5 = PhotoImage(file = "BTN_num5.png") global IMG_BTN_num6 IMG_BTN_num6 = PhotoImage(file = "BTN_num6.png") global IMG_BTN_num7 IMG_BTN_num7 = PhotoImage(file = "BTN_num7.png") global IMG_BTN_num8 IMG_BTN_num8 = PhotoImage(file = "BTN_num8.png") global IMG_BTN_num9 IMG_BTN_num9 = PhotoImage(file = "BTN_num9.png") global IMG_BTN_WIN_jugar_iniciar IMG_BTN_WIN_jugar_iniciar = PhotoImage(file = "IMG_BTN_WIN_jugar_iniciar.png") global IMG_BTN_WIN_jugar_validar IMG_BTN_WIN_jugar_validar = PhotoImage(file = "IMG_BTN_WIN_jugar_validar.png") global IMG_BTN_WIN_jugar_otro IMG_BTN_WIN_jugar_otro = PhotoImage(file = "IMG_BTN_WIN_jugar_otro.png") global IMG_BTN_WIN_jugar_reiniciar IMG_BTN_WIN_jugar_reiniciar = PhotoImage(file = "IMG_BTN_WIN_jugar_reiniciar.png") global IMG_BTN_WIN_jugar_terminar IMG_BTN_WIN_jugar_terminar = PhotoImage(file = "IMG_BTN_WIN_jugar_terminar.png") global IMG_BTN_WIN_jugar_top10 IMG_BTN_WIN_jugar_top10 = PhotoImage(file = "IMG_BTN_WIN_jugar_top10.png") global pausa #Pausa de clock. pausa = False global timer_estado timer_estado = False global clock_estado clock_estado = False global registrado registrado = False global terminar terminar = False global iniciado iniciado = False global otro_juego #Si es True significa que el usuario solicitó un nuevo juego. otro_juego = False global but_press but_press = "" global últ_btn últ_btn = "" global juego_num juego_num = 0 global validar_completo #Se activa cuando el usuario selecciona que desea jugar con el validar completo. validar_completo = False #Valores por default: global nivel_selec nivel_selec = IntVar() global reloj_selec reloj_selec = IntVar() global lado_selec lado_selec = IntVar() global sonido_selec sonido_selec = IntVar() global validar_completo_respuesta validar_completo_respuesta = IntVar() global default_horas default_horas = StringVar() global default_minutos default_minutos = StringVar() global default_segundos default_segundos = StringVar() global WIN_jugar WIN_jugar = Toplevel() WIN_jugar.withdraw() global WIN_configurar WIN_configurar = Toplevel() WIN_configurar.withdraw() global WIN_validar_completo WIN_validar_completo = Toplevel() WIN_validar_completo.withdraw() global WIN_ayuda WIN_ayuda = Toplevel() WIN_ayuda.withdraw() #-----------------Fin Asignación Variables Programa Principal-----------------# LBL_título = Label(WIN_menú, text = "Menú Principal", font = (("Helvetica Neue", 22, "bold"))).place(x = 205, y = 10) LBL_jugar = Label(WIN_menú, text = "Jugar", font = (("Helvetica Neue", 16))).place (x = 77, y = 210) LBL_config = Label(WIN_menú, text = "Configurar", font = (("Helvetica Neue", 16))).place (x = 257, y = 210) LBL_adici = Label(WIN_menú, text = "Validar completo", font = (("Helvetica Neue", 16))).place (x = 416, y = 210) #Función extra LBL_ayuda = Label(WIN_menú, text = "Ayuda", font = (("Helvetica Neue", 16))).place (x = 175, y = 405) LBL_salir = Label(WIN_menú, text = "Salir", font = (("Helvetica Neue", 16))).place (x = 380, y = 405) BTN_jugar = Button(WIN_menú, image = IMG_BTN_WIN_menú_jugar, height = 130, width = 130, borderwidth = 0, command = FN_THRDs) BTN_jugar.place (x = 40, y = 75) BTN_config = Button(WIN_menú, image = IMG_BTN_WIN_menú_config, height = 130, width = 130, borderwidth = 0, command = FN_WIN_configurar) BTN_config.place (x = 240, y = 75) BTN_adici = Button(WIN_menú, image = IMG_BTN_WIN_menú_adici, height = 130, width = 130, borderwidth = 0, command = FN_WIN_validar_completo) BTN_adici.place (x = 428, y = 75) BTN_ayuda = Button(WIN_menú, image = IMG_BTN_WIN_menú_ayuda, height = 130, width = 130, borderwidth = 0, command = FN_WIN_ayuda) BTN_ayuda.place (x = 140, y = 270) BTN_salir = Button(WIN_menú, image = IMG_BTN_WIN_menú_salir, height = 130, width = 130, borderwidth = 0, command = WIN_menú.destroy) BTN_salir.place (x = 335, y = 270) WIN_menú.mainloop() #————————————————————————————————————————————————————————————————————Fin Programa Principal—————————————————————————————————————————————————————————————————#
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7
802a54f38bc92215c9c4a55d77351d0e2407bdfa
15,292
py
Python
sasrl_env/common/env_pb2_grpc.py
sassoftware/sasrlenv
2c8039276fdfe8071582f1e5053f9cfcb4a194e9
[ "Apache-2.0" ]
1
2021-04-23T15:10:58.000Z
2021-04-23T15:10:58.000Z
sasrl_env/common/env_pb2_grpc.py
sassoftware/sasrlenv
2c8039276fdfe8071582f1e5053f9cfcb4a194e9
[ "Apache-2.0" ]
null
null
null
sasrl_env/common/env_pb2_grpc.py
sassoftware/sasrlenv
2c8039276fdfe8071582f1e5053f9cfcb4a194e9
[ "Apache-2.0" ]
null
null
null
# Generated by the gRPC Python protocol compiler plugin. DO NOT EDIT! """Client and server classes corresponding to protobuf-defined services.""" import grpc import sasrl_env.common.env_pb2 as env__pb2 class EnvControlStub(object): """Missing associated documentation comment in .proto file.""" def __init__(self, channel): """Constructor. Args: channel: A grpc.Channel. """ self.Start = channel.unary_unary( '/EnvControl/Start', request_serializer=env__pb2.Empty.SerializeToString, response_deserializer=env__pb2.ServerInfo.FromString, ) self.Close = channel.unary_unary( '/EnvControl/Close', request_serializer=env__pb2.ServerInfo.SerializeToString, response_deserializer=env__pb2.Empty.FromString, ) class EnvControlServicer(object): """Missing associated documentation comment in .proto file.""" def Start(self, request, context): """Missing associated documentation comment in .proto file.""" context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def Close(self, request, context): """Missing associated documentation comment in .proto file.""" context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def add_EnvControlServicer_to_server(servicer, server): rpc_method_handlers = { 'Start': grpc.unary_unary_rpc_method_handler( servicer.Start, request_deserializer=env__pb2.Empty.FromString, response_serializer=env__pb2.ServerInfo.SerializeToString, ), 'Close': grpc.unary_unary_rpc_method_handler( servicer.Close, request_deserializer=env__pb2.ServerInfo.FromString, response_serializer=env__pb2.Empty.SerializeToString, ), } generic_handler = grpc.method_handlers_generic_handler( 'EnvControl', rpc_method_handlers) server.add_generic_rpc_handlers((generic_handler,)) # This class is part of an EXPERIMENTAL API. class EnvControl(object): """Missing associated documentation comment in .proto file.""" @staticmethod def Start(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/EnvControl/Start', env__pb2.Empty.SerializeToString, env__pb2.ServerInfo.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata) @staticmethod def Close(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/EnvControl/Close', env__pb2.ServerInfo.SerializeToString, env__pb2.Empty.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata) class EnvStub(object): """Missing associated documentation comment in .proto file.""" def __init__(self, channel): """Constructor. Args: channel: A grpc.Channel. """ self.Handshake = channel.unary_unary( '/Env/Handshake', request_serializer=env__pb2.Empty.SerializeToString, response_deserializer=env__pb2.MetaData.FromString, ) self.Make = channel.unary_unary( '/Env/Make', request_serializer=env__pb2.Name.SerializeToString, response_deserializer=env__pb2.Info.FromString, ) self.Reset = channel.unary_unary( '/Env/Reset', request_serializer=env__pb2.Empty.SerializeToString, response_deserializer=env__pb2.Observation.FromString, ) self.Step = channel.unary_unary( '/Env/Step', request_serializer=env__pb2.Action.SerializeToString, response_deserializer=env__pb2.Transition.FromString, ) self.Render = channel.unary_unary( '/Env/Render', request_serializer=env__pb2.RenderMode.SerializeToString, response_deserializer=env__pb2.RenderOut.FromString, ) self.Seed = channel.unary_unary( '/Env/Seed', request_serializer=env__pb2.EnvSeed.SerializeToString, response_deserializer=env__pb2.Empty.FromString, ) self.Sample = channel.unary_unary( '/Env/Sample', request_serializer=env__pb2.Empty.SerializeToString, response_deserializer=env__pb2.Action.FromString, ) self.Close = channel.unary_unary( '/Env/Close', request_serializer=env__pb2.Empty.SerializeToString, response_deserializer=env__pb2.Empty.FromString, ) class EnvServicer(object): """Missing associated documentation comment in .proto file.""" def Handshake(self, request, context): """Missing associated documentation comment in .proto file.""" context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def Make(self, request, context): """Missing associated documentation comment in .proto file.""" context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def Reset(self, request, context): """Missing associated documentation comment in .proto file.""" context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def Step(self, request, context): """Missing associated documentation comment in .proto file.""" context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def Render(self, request, context): """Missing associated documentation comment in .proto file.""" context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def Seed(self, request, context): """Missing associated documentation comment in .proto file.""" context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def Sample(self, request, context): """Missing associated documentation comment in .proto file.""" context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def Close(self, request, context): """Missing associated documentation comment in .proto file.""" context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def add_EnvServicer_to_server(servicer, server): rpc_method_handlers = { 'Handshake': grpc.unary_unary_rpc_method_handler( servicer.Handshake, request_deserializer=env__pb2.Empty.FromString, response_serializer=env__pb2.MetaData.SerializeToString, ), 'Make': grpc.unary_unary_rpc_method_handler( servicer.Make, request_deserializer=env__pb2.Name.FromString, response_serializer=env__pb2.Info.SerializeToString, ), 'Reset': grpc.unary_unary_rpc_method_handler( servicer.Reset, request_deserializer=env__pb2.Empty.FromString, response_serializer=env__pb2.Observation.SerializeToString, ), 'Step': grpc.unary_unary_rpc_method_handler( servicer.Step, request_deserializer=env__pb2.Action.FromString, response_serializer=env__pb2.Transition.SerializeToString, ), 'Render': grpc.unary_unary_rpc_method_handler( servicer.Render, request_deserializer=env__pb2.RenderMode.FromString, response_serializer=env__pb2.RenderOut.SerializeToString, ), 'Seed': grpc.unary_unary_rpc_method_handler( servicer.Seed, request_deserializer=env__pb2.EnvSeed.FromString, response_serializer=env__pb2.Empty.SerializeToString, ), 'Sample': grpc.unary_unary_rpc_method_handler( servicer.Sample, request_deserializer=env__pb2.Empty.FromString, response_serializer=env__pb2.Action.SerializeToString, ), 'Close': grpc.unary_unary_rpc_method_handler( servicer.Close, request_deserializer=env__pb2.Empty.FromString, response_serializer=env__pb2.Empty.SerializeToString, ), } generic_handler = grpc.method_handlers_generic_handler( 'Env', rpc_method_handlers) server.add_generic_rpc_handlers((generic_handler,)) # This class is part of an EXPERIMENTAL API. class Env(object): """Missing associated documentation comment in .proto file.""" @staticmethod def Handshake(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/Env/Handshake', env__pb2.Empty.SerializeToString, env__pb2.MetaData.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata) @staticmethod def Make(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/Env/Make', env__pb2.Name.SerializeToString, env__pb2.Info.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata) @staticmethod def Reset(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/Env/Reset', env__pb2.Empty.SerializeToString, env__pb2.Observation.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata) @staticmethod def Step(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/Env/Step', env__pb2.Action.SerializeToString, env__pb2.Transition.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata) @staticmethod def Render(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/Env/Render', env__pb2.RenderMode.SerializeToString, env__pb2.RenderOut.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata) @staticmethod def Seed(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/Env/Seed', env__pb2.EnvSeed.SerializeToString, env__pb2.Empty.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata) @staticmethod def Sample(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/Env/Sample', env__pb2.Empty.SerializeToString, env__pb2.Action.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata) @staticmethod def Close(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/Env/Close', env__pb2.Empty.SerializeToString, env__pb2.Empty.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata)
39.010204
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1,403
15,292
6.487527
0.079116
0.04087
0.029005
0.065041
0.845968
0.806196
0.782136
0.727642
0.718523
0.705999
0
0.00578
0.298522
15,292
391
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39.109974
0.842733
0.080696
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0.074534
false
0
0.006211
0.031056
0.130435
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0
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0
0
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7
338ad4c67ff51f134352b2e6645271628803cd05
927
py
Python
src/DICpy/DIC_2D/__init__.py
eesd-epfl/DICpy
feedc5fe630f347d1ef9d6a2069c239ac5388aea
[ "MIT" ]
2
2021-09-06T12:06:11.000Z
2021-09-11T15:11:43.000Z
src/DICpy/DIC_2D/__init__.py
eesd-epfl/DICpy
feedc5fe630f347d1ef9d6a2069c239ac5388aea
[ "MIT" ]
null
null
null
src/DICpy/DIC_2D/__init__.py
eesd-epfl/DICpy
feedc5fe630f347d1ef9d6a2069c239ac5388aea
[ "MIT" ]
1
2021-09-03T15:28:46.000Z
2021-09-03T15:28:46.000Z
from DICpy.DIC_2D._regular_grid import RegularGrid from DICpy.DIC_2D._post_processing import PostProcessing from DICpy.DIC_2D._images import Images from DICpy.DIC_2D._lucas_kanade import LucasKanade from DICpy.DIC_2D._image_registration import ImageRegistration from DICpy.DIC_2D._coarse_fine import CoarseFine from DICpy.DIC_2D._gradient_zero import GradientZero from DICpy.DIC_2D._gradient_one import GradientOne from DICpy.DIC_2D._oversampling import Oversampling from DICpy.DIC_2D._synthetic import Synthetic from DICpy.DIC_2D._regular_grid import * from DICpy.DIC_2D._post_processing import * from DICpy.DIC_2D._images import * from DICpy.DIC_2D._lucas_kanade import * from DICpy.DIC_2D._image_registration import * from DICpy.DIC_2D._coarse_fine import * from DICpy.DIC_2D._gradient_zero import * from DICpy.DIC_2D._gradient_one import * from DICpy.DIC_2D._oversampling import * from DICpy.DIC_2D._synthetic import *
37.08
62
0.855448
144
927
5.131944
0.194444
0.243572
0.324763
0.37889
0.847091
0.847091
0.611637
0
0
0
0
0.023725
0.090615
927
24
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38.625
0.852906
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true
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0
1
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1
0
0
8
1d2e948b0bcd299b66e0e6f2c08269f02f0cf9b0
35,278
py
Python
lxml/tests/test_isoschematron.py
2502302255/al789
20828306da7a301f4b287ec9c72eb2eae9273188
[ "MIT" ]
28
2017-10-26T12:01:35.000Z
2021-01-01T09:32:46.000Z
lxml/tests/test_isoschematron.py
2502302255/al789
20828306da7a301f4b287ec9c72eb2eae9273188
[ "MIT" ]
1
2018-02-04T03:33:48.000Z
2018-05-08T22:30:01.000Z
lxml/tests/test_isoschematron.py
2502302255/al789
20828306da7a301f4b287ec9c72eb2eae9273188
[ "MIT" ]
1
2018-12-02T07:47:34.000Z
2018-12-02T07:47:34.000Z
# -*- coding: utf-8 -*- """ Test cases related to ISO-Schematron parsing and validation """ import unittest, sys, os.path from lxml import isoschematron this_dir = os.path.dirname(__file__) if this_dir not in sys.path: sys.path.insert(0, this_dir) # needed for Py3 from common_imports import etree, HelperTestCase, fileInTestDir from common_imports import doctest, make_doctest class ETreeISOSchematronTestCase(HelperTestCase): def test_schematron(self): tree_valid = self.parse('<AAA><BBB/><CCC/></AAA>') tree_invalid = self.parse('<AAA><BBB/><CCC/><DDD/></AAA>') schema = self.parse('''\ <schema xmlns="http://purl.oclc.org/dsdl/schematron" > <pattern id="OpenModel"> <title>Open Model</title> <rule context="AAA"> <assert test="BBB"> BBB element is not present</assert> <assert test="CCC"> CCC element is not present</assert> </rule> </pattern> <pattern id="ClosedModel"> <title>Closed model"</title> <rule context="AAA"> <assert test="BBB"> BBB element is not present</assert> <assert test="CCC"> CCC element is not present</assert> <assert test="count(BBB|CCC) = count (*)">There is an extra element</assert> </rule> </pattern> </schema> ''') schema = isoschematron.Schematron(schema) self.assertTrue(schema.validate(tree_valid)) self.assertTrue(not schema.validate(tree_invalid)) def test_schematron_elementtree_error(self): self.assertRaises(ValueError, isoschematron.Schematron, etree.ElementTree()) # an empty pattern is valid in iso schematron def test_schematron_empty_pattern(self): schema = self.parse('''\ <schema xmlns="http://purl.oclc.org/dsdl/schematron" > <pattern id="OpenModel"> <title>Open model</title> </pattern> </schema> ''') schema = isoschematron.Schematron(schema) self.assertTrue(schema) def test_schematron_invalid_schema_empty(self): schema = self.parse('''\ <schema xmlns="http://purl.oclc.org/dsdl/schematron" /> ''') self.assertRaises(etree.SchematronParseError, isoschematron.Schematron, schema) def test_schematron_invalid_schema_namespace(self): schema = self.parse('''\ <schema xmlns="mynamespace" /> ''') self.assertRaises(etree.SchematronParseError, isoschematron.Schematron, schema) def test_schematron_from_tree(self): schema = self.parse('''\ <sch:schema xmlns:sch="http://purl.oclc.org/dsdl/schematron"> <sch:pattern id="number_of_entries"> <sch:title>mandatory number_of_entries tests</sch:title> <sch:rule context="number_of_entries"> <sch:assert test="text()=count(../entries/entry)">[ERROR] number_of_entries (<sch:value-of select="."/>) must equal the number of entries/entry elements (<sch:value-of select="count(../entries/entry)"/>)</sch:assert> </sch:rule> </sch:pattern> </sch:schema> ''') schematron = isoschematron.Schematron(schema) self.assertTrue(isinstance(schematron, isoschematron.Schematron)) def test_schematron_from_element(self): schema = self.parse('''\ <sch:schema xmlns:sch="http://purl.oclc.org/dsdl/schematron"> <sch:pattern id="number_of_entries"> <sch:title>mandatory number_of_entries tests</sch:title> <sch:rule context="number_of_entries"> <sch:assert test="text()=count(../entries/entry)">[ERROR] number_of_entries (<sch:value-of select="."/>) must equal the number of entries/entry elements (<sch:value-of select="count(../entries/entry)"/>)</sch:assert> </sch:rule> </sch:pattern> </sch:schema> ''') schematron = isoschematron.Schematron(schema.getroot()) self.assertTrue(isinstance(schematron, isoschematron.Schematron)) def test_schematron_from_file(self): schematron = isoschematron.Schematron(file=fileInTestDir('test.sch')) self.assertTrue(isinstance(schematron, isoschematron.Schematron)) def test_schematron_call(self): schema = self.parse('''\ <sch:schema xmlns:sch="http://purl.oclc.org/dsdl/schematron"> <sch:pattern id="number_of_entries"> <sch:title>mandatory number_of_entries tests</sch:title> <sch:rule context="number_of_entries"> <sch:assert test="text()=count(../entries/entry)">[ERROR] number_of_entries (<sch:value-of select="."/>) must equal the number of entries/entry elements (<sch:value-of select="count(../entries/entry)"/>)</sch:assert> </sch:rule> </sch:pattern> </sch:schema> ''') tree_valid = self.parse('''\ <message> <number_of_entries>0</number_of_entries> <entries> </entries> </message> ''') tree_invalid = self.parse('''\ <message> <number_of_entries>3</number_of_entries> <entries> <entry>Entry 1</entry> <entry>Entry 2</entry> </entries> </message> ''') schematron = isoschematron.Schematron(schema) self.assertTrue(schematron(tree_valid), schematron.error_log) valid = schematron(tree_invalid) self.assertTrue(not valid) def test_schematron_validate(self): schema = self.parse('''\ <sch:schema xmlns:sch="http://purl.oclc.org/dsdl/schematron"> <sch:pattern id="number_of_entries"> <sch:title>mandatory number_of_entries tests</sch:title> <sch:rule context="number_of_entries"> <sch:assert test="text()=count(../entries/entry)">[ERROR] number_of_entries (<sch:value-of select="."/>) must equal the number of entries/entry elements (<sch:value-of select="count(../entries/entry)"/>)</sch:assert> </sch:rule> </sch:pattern> </sch:schema> ''') tree_valid = self.parse('''\ <message> <number_of_entries>0</number_of_entries> <entries> </entries> </message> ''') tree_invalid = self.parse('''\ <message> <number_of_entries>3</number_of_entries> <entries> <entry>Entry 1</entry> <entry>Entry 2</entry> </entries> </message> ''') schematron = isoschematron.Schematron(schema) self.assertTrue(schematron.validate(tree_valid), schematron.error_log) valid = schematron.validate(tree_invalid) self.assertTrue(not valid) def test_schematron_assertValid(self): schema = self.parse('''\ <sch:schema xmlns:sch="http://purl.oclc.org/dsdl/schematron"> <sch:pattern id="number_of_entries"> <sch:title>mandatory number_of_entries tests</sch:title> <sch:rule context="number_of_entries"> <sch:assert test="text()=count(../entries/entry)">[ERROR] number_of_entries (<sch:value-of select="."/>) must equal the number of entries/entry elements (<sch:value-of select="count(../entries/entry)"/>)</sch:assert> </sch:rule> </sch:pattern> </sch:schema> ''') tree_valid = self.parse('''\ <message> <number_of_entries>0</number_of_entries> <entries> </entries> </message> ''') tree_invalid = self.parse('''\ <message> <number_of_entries>3</number_of_entries> <entries> <entry>Entry 1</entry> <entry>Entry 2</entry> </entries> </message> ''') schematron = isoschematron.Schematron(schema) self.assertTrue(schematron(tree_valid), schematron.error_log) self.assertRaises(etree.DocumentInvalid, schematron.assertValid, tree_invalid) def test_schematron_error_log(self): schema = self.parse('''\ <sch:schema xmlns:sch="http://purl.oclc.org/dsdl/schematron"> <sch:pattern id="number_of_entries"> <sch:title>mandatory number_of_entries tests</sch:title> <sch:rule context="number_of_entries"> <sch:assert test="text()=count(../entries/entry)">[ERROR] number_of_entries (<sch:value-of select="."/>) must equal the number of entries/entry elements (<sch:value-of select="count(../entries/entry)"/>)</sch:assert> </sch:rule> </sch:pattern> </sch:schema> ''') tree_valid = self.parse('''\ <message> <number_of_entries>0</number_of_entries> <entries> </entries> </message> ''') tree_invalid = self.parse('''\ <message> <number_of_entries>3</number_of_entries> <entries> <entry>Entry 1</entry> <entry>Entry 2</entry> </entries> </message> ''') schematron = isoschematron.Schematron(schema) self.assertTrue(schematron(tree_valid), schematron.error_log) valid = schematron(tree_invalid) self.assertTrue(not valid) self.assertEqual(len(schematron.error_log), 1, 'expected single error: %s (%s errors)' % (schematron.error_log, len(schematron.error_log))) def test_schematron_result_report(self): schema = self.parse('''\ <sch:schema xmlns:sch="http://purl.oclc.org/dsdl/schematron"> <sch:pattern id="number_of_entries"> <sch:title>mandatory number_of_entries tests</sch:title> <sch:rule context="number_of_entries"> <sch:assert test="text()=count(../entries/entry)">[ERROR] number_of_entries (<sch:value-of select="."/>) must equal the number of entries/entry elements (<sch:value-of select="count(../entries/entry)"/>)</sch:assert> </sch:rule> </sch:pattern> </sch:schema> ''') tree_valid = self.parse('''\ <message> <number_of_entries>0</number_of_entries> <entries> </entries> </message> ''') tree_invalid = self.parse('''\ <message> <number_of_entries>3</number_of_entries> <entries> <entry>Entry 1</entry> <entry>Entry 2</entry> </entries> </message> ''') schematron = isoschematron.Schematron(schema, store_report=True) self.assertTrue(schematron(tree_valid), schematron.error_log) valid = schematron(tree_invalid) self.assertTrue(not valid) self.assertTrue( isinstance(schematron.validation_report, etree._ElementTree), 'expected a validation report result tree, got: %s' % (schematron.validation_report)) schematron = isoschematron.Schematron(schema, store_report=False) self.assertTrue(schematron(tree_valid), schematron.error_log) valid = schematron(tree_invalid) self.assertTrue(not valid) self.assertTrue(schematron.validation_report is None, 'validation reporting switched off, still: %s' % (schematron.validation_report)) def test_schematron_store_schematron(self): schema = self.parse('''\ <sch:schema xmlns:sch="http://purl.oclc.org/dsdl/schematron"> <sch:pattern id="number_of_entries"> <sch:title>mandatory number_of_entries tests</sch:title> <sch:rule context="number_of_entries"> <sch:assert test="text()=count(../entries/entry)">[ERROR] number_of_entries (<sch:value-of select="."/>) must equal the number of entries/entry elements (<sch:value-of select="count(../entries/entry)"/>)</sch:assert> </sch:rule> </sch:pattern> </sch:schema> ''') schematron = isoschematron.Schematron(schema) self.assertTrue(schematron.validator_xslt is None) schematron = isoschematron.Schematron(schema, store_schematron=True) self.assertTrue(isinstance(schematron.schematron, etree._ElementTree), 'expected schematron schema to be stored') def test_schematron_store_xslt(self): schema = self.parse('''\ <sch:schema xmlns:sch="http://purl.oclc.org/dsdl/schematron"> <sch:pattern id="number_of_entries"> <sch:title>mandatory number_of_entries tests</sch:title> <sch:rule context="number_of_entries"> <sch:assert test="text()=count(../entries/entry)">[ERROR] number_of_entries (<sch:value-of select="."/>) must equal the number of entries/entry elements (<sch:value-of select="count(../entries/entry)"/>)</sch:assert> </sch:rule> </sch:pattern> </sch:schema> ''') schematron = isoschematron.Schematron(schema) self.assertTrue(schematron.validator_xslt is None) schematron = isoschematron.Schematron(schema, store_xslt=True) self.assertTrue(isinstance(schematron.validator_xslt, etree._ElementTree), 'expected validator xslt to be stored') def test_schematron_abstract(self): schema = self.parse('''\ <sch:schema xmlns:sch="http://purl.oclc.org/dsdl/schematron"> <sch:title>iso schematron validation</sch:title> <sch:ns uri="http://www.w3.org/2001/XMLSchema-instance" prefix="xsi"/> <sch:ns uri="http://codespeak.net/lxml/objectify/pytype" prefix="py"/> <!-- of course, these only really make sense when combined with a schema that ensures datatype xs:dateTime --> <sch:pattern abstract="true" id="abstract.dateTime.tz_utc"> <sch:rule context="$datetime"> <sch:let name="tz" value="concat(substring-after(substring-after(./text(), 'T'), '+'), substring-after(substring-after(./text(), 'T'), '-'))"/> <sch:let name="lastchar" value="substring(./text(), string-length(./text()))"/> <sch:assert test="$lastchar='Z' or $tz='00:00'">[ERROR] element (<sch:value-of select="name(.)"/>) dateTime value (<sch:value-of select="."/>) is not qualified as UTC (tz: <sch:value-of select="$tz"/>)</sch:assert> </sch:rule> </sch:pattern> <sch:pattern abstract="true" id="abstract.dateTime.tz_utc_nillable"> <sch:rule context="$datetime"> <sch:let name="tz" value="concat(substring-after(substring-after(./text(), 'T'), '+'), substring-after(substring-after(./text(), 'T'), '-'))"/> <sch:let name="lastchar" value="substring(./text(), string-length(./text()))"/> <sch:assert test="@xsi:nil='true' or ($lastchar='Z' or $tz='00:00')">[ERROR] element (<sch:value-of select="name(.)"/>) dateTime value (<sch:value-of select="."/>) is not qualified as UTC (tz: <sch:value-of select="$tz"/>)</sch:assert> </sch:rule> </sch:pattern> <sch:pattern is-a="abstract.dateTime.tz_utc" id="datetime" > <sch:param name="datetime" value="datetime"/> </sch:pattern> <sch:pattern is-a="abstract.dateTime.tz_utc_nillable" id="nillableDatetime"> <sch:param name="datetime" value="nillableDatetime"/> </sch:pattern> </sch:schema> ''') valid_trees = [ self.parse('''\ <root xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"> <datetime>2009-12-10T15:21:00Z</datetime> <nillableDatetime xsi:nil="true"/> </root> '''), self.parse('''\ <root xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"> <datetime>2009-12-10T15:21:00Z</datetime> <nillableDatetime>2009-12-10T15:21:00Z</nillableDatetime> </root> '''), self.parse('''\ <root xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"> <datetime>2009-12-10T15:21:00+00:00</datetime> <nillableDatetime>2009-12-10T15:21:00-00:00</nillableDatetime> </root> '''), ] schematron = isoschematron.Schematron(schema) for tree_valid in valid_trees: self.assertTrue(schematron(tree_valid), schematron.error_log) tree_invalid = self.parse('''\ <root xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"> <datetime>2009-12-10T16:21:00+01:00</datetime> <nillableDatetime>2009-12-10T16:21:00+01:00</nillableDatetime> </root> ''') expected = 2 valid = schematron(tree_invalid) self.assertTrue(not valid) self.assertEqual( len(schematron.error_log), expected, 'expected %s errors: %s (%s errors)' % (expected, schematron.error_log, len(schematron.error_log))) tree_invalid = self.parse('''\ <root xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"> <datetime xsi:nil="true"/> <nillableDatetime>2009-12-10T16:21:00Z</nillableDatetime> </root> ''') expected = 1 valid = schematron(tree_invalid) self.assertTrue(not valid) self.assertEqual( len(schematron.error_log), expected, 'expected %s errors: %s (%s errors)' % (expected, schematron.error_log, len(schematron.error_log))) def test_schematron_phases(self): schema = self.parse('''\ <sch:schema xmlns:sch="http://purl.oclc.org/dsdl/schematron"> <sch:title>iso schematron validation</sch:title> <sch:ns uri="http://www.w3.org/2001/XMLSchema-instance" prefix="xsi"/> <sch:ns uri="http://codespeak.net/lxml/objectify/pytype" prefix="py"/> <sch:phase id="mandatory"> <sch:active pattern="number_of_entries"/> </sch:phase> <sch:phase id="datetime_checks"> <sch:active pattern="datetime"/> <sch:active pattern="nillableDatetime"/> </sch:phase> <sch:phase id="full"> <sch:active pattern="number_of_entries"/> <sch:active pattern="datetime"/> <sch:active pattern="nillableDatetime"/> </sch:phase> <!-- of course, these only really make sense when combined with a schema that ensures datatype xs:dateTime --> <sch:pattern abstract="true" id="abstract.dateTime.tz_utc"> <sch:rule context="$datetime"> <sch:let name="tz" value="concat(substring-after(substring-after(./text(), 'T'), '+'), substring-after(substring-after(./text(), 'T'), '-'))"/> <sch:let name="lastchar" value="substring(./text(), string-length(./text()))"/> <sch:assert test="$lastchar='Z' or $tz='00:00'">[ERROR] element (<sch:value-of select="name(.)"/>) dateTime value (<sch:value-of select="."/>) is not qualified as UTC (tz: <sch:value-of select="$tz"/>)</sch:assert> </sch:rule> </sch:pattern> <sch:pattern abstract="true" id="abstract.dateTime.tz_utc_nillable"> <sch:rule context="$datetime"> <sch:let name="tz" value="concat(substring-after(substring-after(./text(), 'T'), '+'), substring-after(substring-after(./text(), 'T'), '-'))"/> <sch:let name="lastchar" value="substring(./text(), string-length(./text()))"/> <sch:assert test="@xsi:nil='true' or ($lastchar='Z' or $tz='00:00')">[ERROR] element (<sch:value-of select="name(.)"/>) dateTime value (<sch:value-of select="."/>) is not qualified as UTC (tz: <sch:value-of select="$tz"/>)</sch:assert> </sch:rule> </sch:pattern> <sch:pattern id="number_of_entries"> <sch:title>mandatory number_of_entries test</sch:title> <sch:rule context="number_of_entries"> <sch:assert test="text()=count(../entries/entry)">[ERROR] number_of_entries (<sch:value-of select="."/>) must equal the number of entries/entry elements (<sch:value-of select="count(../entries/entry)"/>)</sch:assert> </sch:rule> </sch:pattern> <sch:pattern id="datetime" is-a="abstract.dateTime.tz_utc"> <sch:param name="datetime" value="datetime"/> </sch:pattern> <sch:pattern id="nillableDatetime" is-a="abstract.dateTime.tz_utc_nillable"> <sch:param name="datetime" value="nillableDatetime"/> </sch:pattern> </sch:schema> ''') tree_valid = self.parse('''\ <message xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"> <datetime>2009-12-10T15:21:00Z</datetime> <nillableDatetime xsi:nil="true"/> <number_of_entries>0</number_of_entries> <entries> </entries> </message> ''') tree_invalid = self.parse('''\ <message> <datetime>2009-12-10T16:21:00+01:00</datetime> <nillableDatetime>2009-12-10T16:21:00+01:00</nillableDatetime> <number_of_entries>3</number_of_entries> <entries> <entry>Entry 1</entry> <entry>Entry 2</entry> </entries> </message> ''') # check everything (default phase #ALL) schematron = isoschematron.Schematron(schema) self.assertTrue(schematron(tree_valid), schematron.error_log) expected = 3 valid = schematron(tree_invalid) self.assertTrue(not valid) self.assertEqual( len(schematron.error_log), expected, 'expected %s errors: %s (%s errors)' % (expected, schematron.error_log, len(schematron.error_log))) # check phase mandatory schematron = isoschematron.Schematron( schema, compile_params={'phase': 'mandatory'}) self.assertTrue(schematron(tree_valid), schematron.error_log) expected = 1 valid = schematron(tree_invalid) self.assertTrue(not valid) self.assertEqual( len(schematron.error_log), expected, 'expected %s errors: %s (%s errors)' % (expected, schematron.error_log, len(schematron.error_log))) # check phase datetime_checks schematron = isoschematron.Schematron( schema, compile_params={'phase': 'datetime_checks'}) self.assertTrue(schematron(tree_valid), schematron.error_log) expected = 2 valid = schematron(tree_invalid) self.assertTrue(not valid) self.assertEqual( len(schematron.error_log), expected, 'expected %s errors: %s (%s errors)' % (expected, schematron.error_log, len(schematron.error_log))) # check phase full schematron = isoschematron.Schematron( schema, compile_params={'phase': 'full'}) self.assertTrue(schematron(tree_valid), schematron.error_log) expected = 3 valid = schematron(tree_invalid) self.assertTrue(not valid) self.assertEqual( len(schematron.error_log), expected, 'expected %s errors: %s (%s errors)' % (expected, schematron.error_log, len(schematron.error_log))) def test_schematron_phases_kwarg(self): schema = self.parse('''\ <sch:schema xmlns:sch="http://purl.oclc.org/dsdl/schematron"> <sch:title>iso schematron validation</sch:title> <sch:ns uri="http://www.w3.org/2001/XMLSchema-instance" prefix="xsi"/> <sch:ns uri="http://codespeak.net/lxml/objectify/pytype" prefix="py"/> <sch:phase id="mandatory"> <sch:active pattern="number_of_entries"/> </sch:phase> <sch:phase id="datetime_checks"> <sch:active pattern="datetime"/> <sch:active pattern="nillableDatetime"/> </sch:phase> <sch:phase id="full"> <sch:active pattern="number_of_entries"/> <sch:active pattern="datetime"/> <sch:active pattern="nillableDatetime"/> </sch:phase> <!-- of course, these only really make sense when combined with a schema that ensures datatype xs:dateTime --> <sch:pattern abstract="true" id="abstract.dateTime.tz_utc"> <sch:rule context="$datetime"> <sch:let name="tz" value="concat(substring-after(substring-after(./text(), 'T'), '+'), substring-after(substring-after(./text(), 'T'), '-'))"/> <sch:let name="lastchar" value="substring(./text(), string-length(./text()))"/> <sch:assert test="$lastchar='Z' or $tz='00:00'">[ERROR] element (<sch:value-of select="name(.)"/>) dateTime value (<sch:value-of select="."/>) is not qualified as UTC (tz: <sch:value-of select="$tz"/>)</sch:assert> </sch:rule> </sch:pattern> <sch:pattern abstract="true" id="abstract.dateTime.tz_utc_nillable"> <sch:rule context="$datetime"> <sch:let name="tz" value="concat(substring-after(substring-after(./text(), 'T'), '+'), substring-after(substring-after(./text(), 'T'), '-'))"/> <sch:let name="lastchar" value="substring(./text(), string-length(./text()))"/> <sch:assert test="@xsi:nil='true' or ($lastchar='Z' or $tz='00:00')">[ERROR] element (<sch:value-of select="name(.)"/>) dateTime value (<sch:value-of select="."/>) is not qualified as UTC (tz: <sch:value-of select="$tz"/>)</sch:assert> </sch:rule> </sch:pattern> <sch:pattern id="number_of_entries"> <sch:title>mandatory number_of_entries test</sch:title> <sch:rule context="number_of_entries"> <sch:assert test="text()=count(../entries/entry)">[ERROR] number_of_entries (<sch:value-of select="."/>) must equal the number of entries/entry elements (<sch:value-of select="count(../entries/entry)"/>)</sch:assert> </sch:rule> </sch:pattern> <sch:pattern id="datetime" is-a="abstract.dateTime.tz_utc"> <sch:param name="datetime" value="datetime"/> </sch:pattern> <sch:pattern id="nillableDatetime" is-a="abstract.dateTime.tz_utc_nillable"> <sch:param name="datetime" value="nillableDatetime"/> </sch:pattern> </sch:schema> ''') tree_valid = self.parse('''\ <message xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"> <datetime>2009-12-10T15:21:00Z</datetime> <nillableDatetime xsi:nil="true"/> <number_of_entries>0</number_of_entries> <entries> </entries> </message> ''') tree_invalid = self.parse('''\ <message> <datetime>2009-12-10T16:21:00+01:00</datetime> <nillableDatetime>2009-12-10T16:21:00+01:00</nillableDatetime> <number_of_entries>3</number_of_entries> <entries> <entry>Entry 1</entry> <entry>Entry 2</entry> </entries> </message> ''') # check everything (default phase #ALL) schematron = isoschematron.Schematron(schema) self.assertTrue(schematron(tree_valid), schematron.error_log) expected = 3 valid = schematron(tree_invalid) self.assertTrue(not valid) self.assertEqual( len(schematron.error_log), expected, 'expected %s errors: %s (%s errors)' % (expected, schematron.error_log, len(schematron.error_log))) # check phase mandatory schematron = isoschematron.Schematron(schema, phase='mandatory') self.assertTrue(schematron(tree_valid), schematron.error_log) expected = 1 valid = schematron(tree_invalid) self.assertTrue(not valid) self.assertEqual( len(schematron.error_log), expected, 'expected %s errors: %s (%s errors)' % (expected, schematron.error_log, len(schematron.error_log))) # check phase datetime_checks schematron = isoschematron.Schematron(schema, phase='datetime_checks') self.assertTrue(schematron(tree_valid), schematron.error_log) expected = 2 valid = schematron(tree_invalid) self.assertTrue(not valid) self.assertEqual( len(schematron.error_log), expected, 'expected %s errors: %s (%s errors)' % (expected, schematron.error_log, len(schematron.error_log))) # check phase full schematron = isoschematron.Schematron(schema, phase='full') self.assertTrue(schematron(tree_valid), schematron.error_log) expected = 3 valid = schematron(tree_invalid) self.assertTrue(not valid) self.assertEqual( len(schematron.error_log), expected, 'expected %s errors: %s (%s errors)' % (expected, schematron.error_log, len(schematron.error_log))) def test_schematron_xmlschema_embedded(self): schema = self.parse('''\ <xs:schema xmlns:xs="http://www.w3.org/2001/XMLSchema" xmlns:sch="http://purl.oclc.org/dsdl/schematron"> <xs:element name="message"> <xs:complexType> <xs:sequence> <xs:element name="number_of_entries" type="xs:positiveInteger"> <xs:annotation> <xs:appinfo> <sch:pattern id="number_of_entries"> <sch:title>mandatory number_of_entries tests</sch:title> <sch:rule context="number_of_entries"> <sch:assert test="text()=count(../entries/entry)">[ERROR] number_of_entries (<sch:value-of select="."/>) must equal the number of entries/entry elements (<sch:value-of select="count(../entries/entry)"/>)</sch:assert> </sch:rule> </sch:pattern> </xs:appinfo> </xs:annotation> </xs:element> <xs:element name="entries"> <xs:complexType> <xs:sequence> <xs:element name="entry" type="xs:string" minOccurs="0" maxOccurs="unbounded"/> </xs:sequence> </xs:complexType> </xs:element> </xs:sequence> </xs:complexType> </xs:element> </xs:schema> ''') tree_valid = self.parse('''\ <message> <number_of_entries>2</number_of_entries> <entries> <entry>Entry 1</entry> <entry>Entry 2</entry> </entries> </message> ''') tree_invalid = self.parse('''\ <message> <number_of_entries>1</number_of_entries> <entries> <entry>Entry 1</entry> <entry>Entry 2</entry> </entries> </message> ''') xmlschema = etree.XMLSchema(schema) schematron = isoschematron.Schematron(schema) # fwiw, this must also be XMLSchema-valid self.assertTrue(xmlschema(tree_valid), xmlschema.error_log) self.assertTrue(schematron(tree_valid)) # still schema-valid self.assertTrue(xmlschema(tree_invalid), xmlschema.error_log) self.assertTrue(not schematron(tree_invalid)) def test_schematron_relaxng_embedded(self): schema = self.parse('''\ <grammar xmlns="http://relaxng.org/ns/structure/1.0" xmlns:sch="http://purl.oclc.org/dsdl/schematron" datatypeLibrary="http://www.w3.org/2001/XMLSchema-datatypes"> <start> <ref name="message"/> </start> <define name="message"> <element name="message"> <element name="number_of_entries"> <!-- RelaxNG can be mixed freely with stuff from other namespaces --> <sch:pattern id="number_of_entries"> <sch:title>mandatory number_of_entries tests</sch:title> <sch:rule context="number_of_entries"> <sch:assert test="text()=count(../entries/entry)">[ERROR] number_of_entries (<sch:value-of select="."/>) must equal the number of entries/entry elements (<sch:value-of select="count(../entries/entry)"/>)</sch:assert> </sch:rule> </sch:pattern> <data type="positiveInteger"/> </element> <element name="entries"> <zeroOrMore> <element name="entry"><data type="string"/></element> </zeroOrMore> </element> </element> </define> </grammar> ''') tree_valid = self.parse('''\ <message> <number_of_entries>2</number_of_entries> <entries> <entry>Entry 1</entry> <entry>Entry 2</entry> </entries> </message> ''') tree_invalid = self.parse('''\ <message> <number_of_entries>1</number_of_entries> <entries> <entry>Entry 1</entry> <entry>Entry 2</entry> </entries> </message> ''') relaxng = etree.RelaxNG(schema) schematron = isoschematron.Schematron(schema) # fwiw, this must also be RelaxNG-valid self.assertTrue(relaxng(tree_valid), relaxng.error_log) self.assertTrue(schematron(tree_valid)) # still schema-valid self.assertTrue(relaxng(tree_invalid), relaxng.error_log) self.assertTrue(not schematron(tree_invalid)) def test_schematron_invalid_args(self): schema = self.parse('''\ <sch:schema xmlns:sch="http://purl.oclc.org/dsdl/schematron"> <sch:pattern id="number_of_entries"> <sch:title>mandatory number_of_entries tests</sch:title> <sch:rule context="number_of_entries"> <sch:assert test="text()=count(../entries/entry)">[ERROR] number_of_entries (<sch:value-of select="."/>) must equal the number of entries/entry elements (<sch:value-of select="count(../entries/entry)"/>)</sch:assert> </sch:rule> </sch:pattern> </sch:schema> ''') # handing phase as keyword arg will *not* raise the type error self.assertRaises(TypeError, isoschematron.Schematron, schema, compile_params={'phase': None}) def test_schematron_customization(self): class MySchematron(isoschematron.Schematron): def _extract(self, root): schematron = (root.xpath( '//sch:schema', namespaces={'sch': "http://purl.oclc.org/dsdl/schematron"}) or [None])[0] return schematron def _include(self, schematron, **kwargs): raise RuntimeError('inclusion unsupported') def _expand(self, schematron, **kwargs): raise RuntimeError('expansion unsupported') def _validation_errors(self, validationReport): valid = etree.XPath( 'count(//svrl:successful-report[@flag="critical"])=1', namespaces={'svrl': isoschematron.SVRL_NS})( validationReport) if valid: return [] error = etree.Element('Error') error.text = 'missing critical condition report' return [error] tree_valid = self.parse('<AAA><BBB/><CCC/></AAA>') tree_invalid = self.parse('<AAA><BBB/><CCC/><DDD/></AAA>') schema = self.parse('''\ <schema xmlns="http://www.example.org/yet/another/schema/dialect"> <schema xmlns="http://purl.oclc.org/dsdl/schematron" > <pattern id="OpenModel"> <title>Open Model</title> <rule context="AAA"> <report test="BBB" flag="info">BBB element must be present</report> <report test="CCC" flag="info">CCC element must be present</report> </rule> </pattern> <pattern id="ClosedModel"> <title>Closed model"</title> <rule context="AAA"> <report test="BBB" flag="info">BBB element must be present</report> <report test="CCC" flag="info">CCC element must be present</report> <report test="count(BBB|CCC) = count(*)" flag="critical">Only BBB and CCC children must be present</report> </rule> </pattern> </schema> </schema> ''') # check if overridden _include is run self.assertRaises(RuntimeError, MySchematron, schema, store_report=True) # check if overridden _expand is run self.assertRaises(RuntimeError, MySchematron, schema, store_report=True, include=False) schema = MySchematron(schema, store_report=True, include=False, expand=False) self.assertTrue(schema.validate(tree_valid)) self.assertTrue(not schema.validate(tree_invalid)) #TODO: test xslt parameters for inclusion, expand & compile steps (?) def test_schematron_fail_on_report(self): tree_valid = self.parse('<AAA><BBB/><CCC/></AAA>') tree_invalid = self.parse('<AAA><BBB/><CCC/><DDD/></AAA>') schema = self.parse('''\ <schema xmlns="http://purl.oclc.org/dsdl/schematron" > <pattern id="OpenModel"> <title>Simple Report</title> <rule context="AAA"> <report test="DDD"> DDD element must not be present</report> </rule> </pattern> </schema> ''') schema_report = isoschematron.Schematron( schema, error_finder=isoschematron.Schematron.ASSERTS_AND_REPORTS) schema_no_report = isoschematron.Schematron(schema) self.assertTrue(schema_report.validate(tree_valid)) self.assertTrue(not schema_report.validate(tree_invalid)) self.assertTrue(schema_no_report.validate(tree_valid)) self.assertTrue(schema_no_report.validate(tree_invalid)) def test_suite(): suite = unittest.TestSuite() suite.addTests([unittest.makeSuite(ETreeISOSchematronTestCase)]) suite.addTests(doctest.DocTestSuite(isoschematron)) suite.addTests( [make_doctest('../../../doc/validation.txt')]) return suite if __name__ == '__main__': print('to test use test.py %s' % __file__)
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0.645331
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35,278
5.284258
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0.075374
0.037148
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0.842164
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0.798555
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0.781955
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0.013016
0.192018
35,278
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0.768945
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0.611161
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8
1da5274bd9dd1c70be6a11b623ad7a4e938a651e
3,066
py
Python
py_src/imageClassificationScript.py
DanielleJobe/facial-recognition-example-labview
1864f1d661589e30b2e5d8a13443821a8ec9fdf4
[ "MIT" ]
7
2018-08-30T15:32:02.000Z
2021-04-26T02:03:02.000Z
py_src/imageClassificationScript.py
DanielleJobe/facial-recognition-example-labview
1864f1d661589e30b2e5d8a13443821a8ec9fdf4
[ "MIT" ]
null
null
null
py_src/imageClassificationScript.py
DanielleJobe/facial-recognition-example-labview
1864f1d661589e30b2e5d8a13443821a8ec9fdf4
[ "MIT" ]
4
2019-12-18T17:03:15.000Z
2021-05-02T02:55:26.000Z
import cv2 # def convertToRGB(img): # return cv2.cvtColor(img, cv2.COLOR_BGR2RGB) # def findFaces(imgPath = 'data/test1.jpg', scalefactor = 1.1, neighbors = 5): imgPath = 'data/test1.jpg' scalefactor = 1.1 neighbors = 5 #read image from file colored_img = cv2.imread(imgPath) #just making a copy of image passed, so that passed image is not changed img_copy = colored_img.copy() #get the training set face_cascade = cv2.CascadeClassifier('data/haarcascade_frontalface_alt.xml') #convert the test image to gray image as opencv face detector expects gray images gray = cv2.cvtColor(img_copy, cv2.COLOR_BGR2GRAY) #let's detect multiscale (some images may be closer to camera than others) images faces = face_cascade.detectMultiScale(gray, scaleFactor=scalefactor, minNeighbors=neighbors); #go over list of faces and draw them as rectangles on original colored img for (x, y, w, h) in faces: cv2.rectangle(img_copy, (x, y), (x+w, y+h), (0, 255, 0), 2) # print ('number of faces:', len(faces)) print img_copy # def findEyes(colored_img, scalefactor = 1.1, neighbors = 5): # # colored_img = cv2.imread('data/test1.jpg') # #just making a copy of image passed, so that passed image is not changed # img_copy = colored_img.copy() # # #get the training set # eye_cascade = cv2.CascadeClassifier('data/haarcascade_eye.xml') # # #convert the test image to gray image as opencv face detector expects gray images # gray = cv2.cvtColor(img_copy, cv2.COLOR_BGR2GRAY) # # #let's detect multiscale (some images may be closer to camera than others) images # eyes = eye_cascade.detectMultiScale(gray, scaleFactor=scalefactor, minNeighbors=neighbors); # # #go over list of faces and draw them as rectangles on original colored img # for (x, y, w, h) in eyes: # cv2.rectangle(img_copy, (x, y), (x+w, y+h), (255, 0, 0), 2) # # print ('number of eyes:', len(eyes)) # # return img_copy # # def findSmiles(colored_img, scalefactor = 1.175, neighbors = 26): # # colored_img = cv2.imread('data/test1.jpg') # #just making a copy of image passed, so that passed image is not changed # img_copy = colored_img.copy() # # #get the training set # smile_cascade = cv2.CascadeClassifier('data/haarcascade_smile.xml') # # #convert the test image to gray image as opencv face detector expects gray images # gray = cv2.cvtColor(img_copy, cv2.COLOR_BGR2GRAY) # # #let's detect multiscale (some images may be closer to camera than others) images # smiles = smile_cascade.detectMultiScale(gray, scaleFactor=scalefactor, minNeighbors=neighbors); # # #go over list of faces and draw them as rectangles on original colored img # for (x, y, w, h) in smiles: # cv2.rectangle(img_copy, (x, y), (x+w, y+h), (0, 0, 255), 2) # # print ('number of eyes:', len(smiles)) # # return img_copy
40.88
111
0.658839
434
3,066
4.576037
0.230415
0.05287
0.028197
0.033233
0.831319
0.748238
0.72709
0.72709
0.72709
0.684794
0
0.025192
0.236138
3,066
75
112
40.88
0.822801
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null
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null
null
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null
0
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0
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0
0
0
7
d53dcdbbc81aead88a5848d2d93a389dfcef7ba7
16,348
py
Python
test/test_mlnx_ofed.py
brisbane/hpc-container-maker
29c675d62651c6dde566b699ad85f794114a94c4
[ "Apache-2.0" ]
null
null
null
test/test_mlnx_ofed.py
brisbane/hpc-container-maker
29c675d62651c6dde566b699ad85f794114a94c4
[ "Apache-2.0" ]
null
null
null
test/test_mlnx_ofed.py
brisbane/hpc-container-maker
29c675d62651c6dde566b699ad85f794114a94c4
[ "Apache-2.0" ]
null
null
null
# Copyright (c) 2018, NVIDIA CORPORATION. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # pylint: disable=invalid-name, too-few-public-methods, bad-continuation """Test cases for the mlnx_ofed module""" from __future__ import unicode_literals from __future__ import print_function import logging # pylint: disable=unused-import import unittest from helpers import aarch64, centos, docker, ppc64le, ubuntu, ubuntu18, x86_64 from hpccm.building_blocks.mlnx_ofed import mlnx_ofed class Test_mlnx_ofed(unittest.TestCase): def setUp(self): """Disable logging output messages""" logging.disable(logging.ERROR) @x86_64 @ubuntu @docker def test_defaults_ubuntu(self): """Default mlnx_ofed building block""" mofed = mlnx_ofed() self.assertEqual(str(mofed), r'''# Mellanox OFED version 4.6-1.0.1.1 RUN apt-get update -y && \ DEBIAN_FRONTEND=noninteractive apt-get install -y --no-install-recommends \ findutils \ libnl-3-200 \ libnl-route-3-200 \ libnuma1 \ wget && \ rm -rf /var/lib/apt/lists/* RUN mkdir -p /var/tmp && wget -q -nc --no-check-certificate -P /var/tmp http://content.mellanox.com/ofed/MLNX_OFED-4.6-1.0.1.1/MLNX_OFED_LINUX-4.6-1.0.1.1-ubuntu16.04-x86_64.tgz && \ mkdir -p /var/tmp && tar -x -f /var/tmp/MLNX_OFED_LINUX-4.6-1.0.1.1-ubuntu16.04-x86_64.tgz -C /var/tmp -z && \ find /var/tmp/MLNX_OFED_LINUX-4.6-1.0.1.1-ubuntu16.04-x86_64 -regextype posix-extended -type f -regex ".*(ibverbs-utils|libibmad|libibmad-devel|libibumad|libibumad-devel|libibverbs-dev|libibverbs1|libmlx4-1|libmlx4-dev|libmlx5-1|libmlx5-dev|librdmacm-dev|librdmacm1)_.*_amd64.deb" -not -path "*UPSTREAM*" -exec dpkg --install {} + && \ rm -rf /var/tmp/MLNX_OFED_LINUX-4.6-1.0.1.1-ubuntu16.04-x86_64.tgz /var/tmp/MLNX_OFED_LINUX-4.6-1.0.1.1-ubuntu16.04-x86_64''') @x86_64 @ubuntu18 @docker def test_defaults_ubuntu(self): """Default mlnx_ofed building block""" mofed = mlnx_ofed() self.assertEqual(str(mofed), r'''# Mellanox OFED version 4.6-1.0.1.1 RUN apt-get update -y && \ DEBIAN_FRONTEND=noninteractive apt-get install -y --no-install-recommends \ findutils \ libnl-3-200 \ libnl-route-3-200 \ libnuma1 \ wget && \ rm -rf /var/lib/apt/lists/* RUN mkdir -p /var/tmp && wget -q -nc --no-check-certificate -P /var/tmp http://content.mellanox.com/ofed/MLNX_OFED-4.6-1.0.1.1/MLNX_OFED_LINUX-4.6-1.0.1.1-ubuntu18.04-x86_64.tgz && \ mkdir -p /var/tmp && tar -x -f /var/tmp/MLNX_OFED_LINUX-4.6-1.0.1.1-ubuntu18.04-x86_64.tgz -C /var/tmp -z && \ find /var/tmp/MLNX_OFED_LINUX-4.6-1.0.1.1-ubuntu18.04-x86_64 -regextype posix-extended -type f -regex ".*(ibverbs-utils|libibmad|libibmad-devel|libibumad|libibumad-devel|libibverbs-dev|libibverbs1|libmlx4-1|libmlx4-dev|libmlx5-1|libmlx5-dev|librdmacm-dev|librdmacm1)_.*_amd64.deb" -not -path "*UPSTREAM*" -exec dpkg --install {} + && \ rm -rf /var/tmp/MLNX_OFED_LINUX-4.6-1.0.1.1-ubuntu18.04-x86_64.tgz /var/tmp/MLNX_OFED_LINUX-4.6-1.0.1.1-ubuntu18.04-x86_64''') @x86_64 @centos @docker def test_defaults_centos(self): """Default mlnx_ofed building block""" mofed = mlnx_ofed() self.assertEqual(str(mofed), r'''# Mellanox OFED version 4.6-1.0.1.1 RUN yum install -y \ findutils \ libnl \ libnl3 \ numactl-libs \ wget && \ rm -rf /var/cache/yum/* RUN mkdir -p /var/tmp && wget -q -nc --no-check-certificate -P /var/tmp http://content.mellanox.com/ofed/MLNX_OFED-4.6-1.0.1.1/MLNX_OFED_LINUX-4.6-1.0.1.1-rhel7.2-x86_64.tgz && \ mkdir -p /var/tmp && tar -x -f /var/tmp/MLNX_OFED_LINUX-4.6-1.0.1.1-rhel7.2-x86_64.tgz -C /var/tmp -z && \ find /var/tmp/MLNX_OFED_LINUX-4.6-1.0.1.1-rhel7.2-x86_64 -regextype posix-extended -type f -regex ".*(libibmad|libibmad-devel|libibumad|libibumad-devel|libibverbs|libibverbs-devel|libibverbs-utils|libmlx4|libmlx4-devel|libmlx5|libmlx5-devel|librdmacm|librdmacm-devel)-[0-9].*x86_64.rpm" -not -path "*UPSTREAM*" -exec rpm --install {} + && \ rm -rf /var/tmp/MLNX_OFED_LINUX-4.6-1.0.1.1-rhel7.2-x86_64.tgz /var/tmp/MLNX_OFED_LINUX-4.6-1.0.1.1-rhel7.2-x86_64''') @x86_64 @ubuntu @docker def test_prefix_ubuntu(self): """Prefix option""" mofed = mlnx_ofed(prefix='/opt/ofed') self.assertEqual(str(mofed), r'''# Mellanox OFED version 4.6-1.0.1.1 RUN apt-get update -y && \ DEBIAN_FRONTEND=noninteractive apt-get install -y --no-install-recommends \ findutils \ libnl-3-200 \ libnl-route-3-200 \ libnuma1 \ wget && \ rm -rf /var/lib/apt/lists/* RUN mkdir -p /var/tmp && wget -q -nc --no-check-certificate -P /var/tmp http://content.mellanox.com/ofed/MLNX_OFED-4.6-1.0.1.1/MLNX_OFED_LINUX-4.6-1.0.1.1-ubuntu16.04-x86_64.tgz && \ mkdir -p /var/tmp && tar -x -f /var/tmp/MLNX_OFED_LINUX-4.6-1.0.1.1-ubuntu16.04-x86_64.tgz -C /var/tmp -z && \ mkdir -p /etc/libibverbs.d && \ mkdir -p /opt/ofed && cd /opt/ofed && \ find /var/tmp/MLNX_OFED_LINUX-4.6-1.0.1.1-ubuntu16.04-x86_64 -regextype posix-extended -type f -regex ".*(ibverbs-utils|libibmad|libibmad-devel|libibumad|libibumad-devel|libibverbs-dev|libibverbs1|libmlx4-1|libmlx4-dev|libmlx5-1|libmlx5-dev|librdmacm-dev|librdmacm1)_.*_amd64.deb" -not -path "*UPSTREAM*" -exec dpkg --extract {} /opt/ofed \; && \ rm -rf /var/tmp/MLNX_OFED_LINUX-4.6-1.0.1.1-ubuntu16.04-x86_64.tgz /var/tmp/MLNX_OFED_LINUX-4.6-1.0.1.1-ubuntu16.04-x86_64''') @x86_64 @centos @docker def test_prefix_centos(self): """Prefix option""" mofed = mlnx_ofed(prefix='/opt/ofed') self.assertEqual(str(mofed), r'''# Mellanox OFED version 4.6-1.0.1.1 RUN yum install -y \ findutils \ libnl \ libnl3 \ numactl-libs \ wget && \ rm -rf /var/cache/yum/* RUN mkdir -p /var/tmp && wget -q -nc --no-check-certificate -P /var/tmp http://content.mellanox.com/ofed/MLNX_OFED-4.6-1.0.1.1/MLNX_OFED_LINUX-4.6-1.0.1.1-rhel7.2-x86_64.tgz && \ mkdir -p /var/tmp && tar -x -f /var/tmp/MLNX_OFED_LINUX-4.6-1.0.1.1-rhel7.2-x86_64.tgz -C /var/tmp -z && \ mkdir -p /etc/libibverbs.d && \ mkdir -p /opt/ofed && cd /opt/ofed && \ find /var/tmp/MLNX_OFED_LINUX-4.6-1.0.1.1-rhel7.2-x86_64 -regextype posix-extended -type f -regex ".*(libibmad|libibmad-devel|libibumad|libibumad-devel|libibverbs|libibverbs-devel|libibverbs-utils|libmlx4|libmlx4-devel|libmlx5|libmlx5-devel|librdmacm|librdmacm-devel)-[0-9].*x86_64.rpm" -not -path "*UPSTREAM*" -exec sh -c "rpm2cpio {} | cpio -idm" \; && \ rm -rf /var/tmp/MLNX_OFED_LINUX-4.6-1.0.1.1-rhel7.2-x86_64.tgz /var/tmp/MLNX_OFED_LINUX-4.6-1.0.1.1-rhel7.2-x86_64''') @aarch64 @ubuntu @docker def test_aarch64_ubuntu(self): """aarch64""" mofed = mlnx_ofed(version='4.5-1.0.1.0') self.assertEqual(str(mofed), r'''# Mellanox OFED version 4.5-1.0.1.0 RUN apt-get update -y && \ DEBIAN_FRONTEND=noninteractive apt-get install -y --no-install-recommends \ findutils \ libnl-3-200 \ libnl-route-3-200 \ libnuma1 \ wget && \ rm -rf /var/lib/apt/lists/* RUN mkdir -p /var/tmp && wget -q -nc --no-check-certificate -P /var/tmp http://content.mellanox.com/ofed/MLNX_OFED-4.5-1.0.1.0/MLNX_OFED_LINUX-4.5-1.0.1.0-ubuntu16.04-aarch64.tgz && \ mkdir -p /var/tmp && tar -x -f /var/tmp/MLNX_OFED_LINUX-4.5-1.0.1.0-ubuntu16.04-aarch64.tgz -C /var/tmp -z && \ find /var/tmp/MLNX_OFED_LINUX-4.5-1.0.1.0-ubuntu16.04-aarch64 -regextype posix-extended -type f -regex ".*(ibverbs-utils|libibmad|libibmad-devel|libibumad|libibumad-devel|libibverbs-dev|libibverbs1|libmlx4-1|libmlx4-dev|libmlx5-1|libmlx5-dev|librdmacm-dev|librdmacm1)_.*_arm64.deb" -not -path "*UPSTREAM*" -exec dpkg --install {} + && \ rm -rf /var/tmp/MLNX_OFED_LINUX-4.5-1.0.1.0-ubuntu16.04-aarch64.tgz /var/tmp/MLNX_OFED_LINUX-4.5-1.0.1.0-ubuntu16.04-aarch64''') @aarch64 @ubuntu18 @docker def test_aarch64_ubuntu18(self): """aarch64""" mofed = mlnx_ofed(version='4.6-1.0.1.1') self.assertEqual(str(mofed), r'''# Mellanox OFED version 4.6-1.0.1.1 RUN apt-get update -y && \ DEBIAN_FRONTEND=noninteractive apt-get install -y --no-install-recommends \ findutils \ libnl-3-200 \ libnl-route-3-200 \ libnuma1 \ wget && \ rm -rf /var/lib/apt/lists/* RUN mkdir -p /var/tmp && wget -q -nc --no-check-certificate -P /var/tmp http://content.mellanox.com/ofed/MLNX_OFED-4.6-1.0.1.1/MLNX_OFED_LINUX-4.6-1.0.1.1-ubuntu18.04-aarch64.tgz && \ mkdir -p /var/tmp && tar -x -f /var/tmp/MLNX_OFED_LINUX-4.6-1.0.1.1-ubuntu18.04-aarch64.tgz -C /var/tmp -z && \ find /var/tmp/MLNX_OFED_LINUX-4.6-1.0.1.1-ubuntu18.04-aarch64 -regextype posix-extended -type f -regex ".*(ibverbs-utils|libibmad|libibmad-devel|libibumad|libibumad-devel|libibverbs-dev|libibverbs1|libmlx4-1|libmlx4-dev|libmlx5-1|libmlx5-dev|librdmacm-dev|librdmacm1)_.*_arm64.deb" -not -path "*UPSTREAM*" -exec dpkg --install {} + && \ rm -rf /var/tmp/MLNX_OFED_LINUX-4.6-1.0.1.1-ubuntu18.04-aarch64.tgz /var/tmp/MLNX_OFED_LINUX-4.6-1.0.1.1-ubuntu18.04-aarch64''') @aarch64 @centos @docker def test_aarch64_centos(self): """aarch64""" mofed = mlnx_ofed() self.assertEqual(str(mofed), r'''# Mellanox OFED version 4.6-1.0.1.1 RUN yum install -y \ findutils \ libnl \ libnl3 \ numactl-libs \ wget && \ rm -rf /var/cache/yum/* RUN mkdir -p /var/tmp && wget -q -nc --no-check-certificate -P /var/tmp http://content.mellanox.com/ofed/MLNX_OFED-4.6-1.0.1.1/MLNX_OFED_LINUX-4.6-1.0.1.1-rhel7.6alternate-aarch64.tgz && \ mkdir -p /var/tmp && tar -x -f /var/tmp/MLNX_OFED_LINUX-4.6-1.0.1.1-rhel7.6alternate-aarch64.tgz -C /var/tmp -z && \ find /var/tmp/MLNX_OFED_LINUX-4.6-1.0.1.1-rhel7.6alternate-aarch64 -regextype posix-extended -type f -regex ".*(libibmad|libibmad-devel|libibumad|libibumad-devel|libibverbs|libibverbs-devel|libibverbs-utils|libmlx4|libmlx4-devel|libmlx5|libmlx5-devel|librdmacm|librdmacm-devel)-[0-9].*aarch64.rpm" -not -path "*UPSTREAM*" -exec rpm --install {} + && \ rm -rf /var/tmp/MLNX_OFED_LINUX-4.6-1.0.1.1-rhel7.6alternate-aarch64.tgz /var/tmp/MLNX_OFED_LINUX-4.6-1.0.1.1-rhel7.6alternate-aarch64''') @ppc64le @ubuntu @docker def test_ppc64le_ubuntu(self): """aarch64""" mofed = mlnx_ofed(version='4.6-1.0.1.1') self.assertEqual(str(mofed), r'''# Mellanox OFED version 4.6-1.0.1.1 RUN apt-get update -y && \ DEBIAN_FRONTEND=noninteractive apt-get install -y --no-install-recommends \ findutils \ libnl-3-200 \ libnl-route-3-200 \ libnuma1 \ wget && \ rm -rf /var/lib/apt/lists/* RUN mkdir -p /var/tmp && wget -q -nc --no-check-certificate -P /var/tmp http://content.mellanox.com/ofed/MLNX_OFED-4.6-1.0.1.1/MLNX_OFED_LINUX-4.6-1.0.1.1-ubuntu16.04-ppc64le.tgz && \ mkdir -p /var/tmp && tar -x -f /var/tmp/MLNX_OFED_LINUX-4.6-1.0.1.1-ubuntu16.04-ppc64le.tgz -C /var/tmp -z && \ find /var/tmp/MLNX_OFED_LINUX-4.6-1.0.1.1-ubuntu16.04-ppc64le -regextype posix-extended -type f -regex ".*(ibverbs-utils|libibmad|libibmad-devel|libibumad|libibumad-devel|libibverbs-dev|libibverbs1|libmlx4-1|libmlx4-dev|libmlx5-1|libmlx5-dev|librdmacm-dev|librdmacm1)_.*_ppc64el.deb" -not -path "*UPSTREAM*" -exec dpkg --install {} + && \ rm -rf /var/tmp/MLNX_OFED_LINUX-4.6-1.0.1.1-ubuntu16.04-ppc64le.tgz /var/tmp/MLNX_OFED_LINUX-4.6-1.0.1.1-ubuntu16.04-ppc64le''') @ppc64le @ubuntu18 @docker def test_ppc64le_ubuntu18(self): """aarch64""" mofed = mlnx_ofed(version='4.6-1.0.1.1') self.assertEqual(str(mofed), r'''# Mellanox OFED version 4.6-1.0.1.1 RUN apt-get update -y && \ DEBIAN_FRONTEND=noninteractive apt-get install -y --no-install-recommends \ findutils \ libnl-3-200 \ libnl-route-3-200 \ libnuma1 \ wget && \ rm -rf /var/lib/apt/lists/* RUN mkdir -p /var/tmp && wget -q -nc --no-check-certificate -P /var/tmp http://content.mellanox.com/ofed/MLNX_OFED-4.6-1.0.1.1/MLNX_OFED_LINUX-4.6-1.0.1.1-ubuntu18.04-ppc64le.tgz && \ mkdir -p /var/tmp && tar -x -f /var/tmp/MLNX_OFED_LINUX-4.6-1.0.1.1-ubuntu18.04-ppc64le.tgz -C /var/tmp -z && \ find /var/tmp/MLNX_OFED_LINUX-4.6-1.0.1.1-ubuntu18.04-ppc64le -regextype posix-extended -type f -regex ".*(ibverbs-utils|libibmad|libibmad-devel|libibumad|libibumad-devel|libibverbs-dev|libibverbs1|libmlx4-1|libmlx4-dev|libmlx5-1|libmlx5-dev|librdmacm-dev|librdmacm1)_.*_ppc64el.deb" -not -path "*UPSTREAM*" -exec dpkg --install {} + && \ rm -rf /var/tmp/MLNX_OFED_LINUX-4.6-1.0.1.1-ubuntu18.04-ppc64le.tgz /var/tmp/MLNX_OFED_LINUX-4.6-1.0.1.1-ubuntu18.04-ppc64le''') @ppc64le @centos @docker def test_ppc64le_centos(self): """aarch64""" mofed = mlnx_ofed(version='4.6-1.0.1.1') self.assertEqual(str(mofed), r'''# Mellanox OFED version 4.6-1.0.1.1 RUN yum install -y \ findutils \ libnl \ libnl3 \ numactl-libs \ wget && \ rm -rf /var/cache/yum/* RUN mkdir -p /var/tmp && wget -q -nc --no-check-certificate -P /var/tmp http://content.mellanox.com/ofed/MLNX_OFED-4.6-1.0.1.1/MLNX_OFED_LINUX-4.6-1.0.1.1-rhel7.2-ppc64le.tgz && \ mkdir -p /var/tmp && tar -x -f /var/tmp/MLNX_OFED_LINUX-4.6-1.0.1.1-rhel7.2-ppc64le.tgz -C /var/tmp -z && \ find /var/tmp/MLNX_OFED_LINUX-4.6-1.0.1.1-rhel7.2-ppc64le -regextype posix-extended -type f -regex ".*(libibmad|libibmad-devel|libibumad|libibumad-devel|libibverbs|libibverbs-devel|libibverbs-utils|libmlx4|libmlx4-devel|libmlx5|libmlx5-devel|librdmacm|librdmacm-devel)-[0-9].*ppc64le.rpm" -not -path "*UPSTREAM*" -exec rpm --install {} + && \ rm -rf /var/tmp/MLNX_OFED_LINUX-4.6-1.0.1.1-rhel7.2-ppc64le.tgz /var/tmp/MLNX_OFED_LINUX-4.6-1.0.1.1-rhel7.2-ppc64le''') @x86_64 @ubuntu @docker def test_runtime(self): """Runtime""" mofed = mlnx_ofed() r = mofed.runtime() self.assertEqual(r, r'''# Mellanox OFED version 4.6-1.0.1.1 RUN apt-get update -y && \ DEBIAN_FRONTEND=noninteractive apt-get install -y --no-install-recommends \ findutils \ libnl-3-200 \ libnl-route-3-200 \ libnuma1 \ wget && \ rm -rf /var/lib/apt/lists/* RUN mkdir -p /var/tmp && wget -q -nc --no-check-certificate -P /var/tmp http://content.mellanox.com/ofed/MLNX_OFED-4.6-1.0.1.1/MLNX_OFED_LINUX-4.6-1.0.1.1-ubuntu16.04-x86_64.tgz && \ mkdir -p /var/tmp && tar -x -f /var/tmp/MLNX_OFED_LINUX-4.6-1.0.1.1-ubuntu16.04-x86_64.tgz -C /var/tmp -z && \ find /var/tmp/MLNX_OFED_LINUX-4.6-1.0.1.1-ubuntu16.04-x86_64 -regextype posix-extended -type f -regex ".*(ibverbs-utils|libibmad|libibmad-devel|libibumad|libibumad-devel|libibverbs-dev|libibverbs1|libmlx4-1|libmlx4-dev|libmlx5-1|libmlx5-dev|librdmacm-dev|librdmacm1)_.*_amd64.deb" -not -path "*UPSTREAM*" -exec dpkg --install {} + && \ rm -rf /var/tmp/MLNX_OFED_LINUX-4.6-1.0.1.1-ubuntu16.04-x86_64.tgz /var/tmp/MLNX_OFED_LINUX-4.6-1.0.1.1-ubuntu16.04-x86_64''') @x86_64 @ubuntu @docker def test_prefix_runtime(self): """Prefix runtime""" mofed = mlnx_ofed(prefix='/opt/ofed') r = mofed.runtime() self.assertEqual(r, r'''# Mellanox OFED version 4.6-1.0.1.1 RUN apt-get update -y && \ DEBIAN_FRONTEND=noninteractive apt-get install -y --no-install-recommends \ findutils \ libnl-3-200 \ libnl-route-3-200 \ libnuma1 \ wget && \ rm -rf /var/lib/apt/lists/* RUN mkdir -p /etc/libibverbs.d COPY --from=0 /opt/ofed /opt/ofed''')
53.424837
360
0.663934
2,762
16,348
3.837799
0.076394
0.018491
0.025472
0.030943
0.883868
0.882547
0.874528
0.874528
0.869434
0.856038
0
0.08868
0.161916
16,348
305
361
53.6
0.684987
0.058172
0
0.794118
0
0
0.032553
0
0
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0
0
0.127451
1
0.137255
false
0
0.058824
0
0.205882
0.009804
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null
0
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1
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0
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0
0
0
0
0
0
0
0
0
7
6361d0bc98e8790466c641f3d01fa54f6f53aa24
2,340
py
Python
tests/integration/operators_test/mul_test.py
gglin001/popart
3225214343f6d98550b6620e809a3544e8bcbfc6
[ "MIT" ]
null
null
null
tests/integration/operators_test/mul_test.py
gglin001/popart
3225214343f6d98550b6620e809a3544e8bcbfc6
[ "MIT" ]
null
null
null
tests/integration/operators_test/mul_test.py
gglin001/popart
3225214343f6d98550b6620e809a3544e8bcbfc6
[ "MIT" ]
null
null
null
# Copyright (c) 2019 Graphcore Ltd. All rights reserved. import numpy as np import popart import torch import pytest import torch.nn.functional as F from op_tester import op_tester # `import test_util` requires adding to sys.path import sys from pathlib import Path sys.path.append(Path(__file__).resolve().parent.parent) def test_mul(op_tester): d1 = np.random.rand(2).astype(np.float32) d2 = np.random.rand(2).astype(np.float32) def init_builder(builder): i1 = builder.addInputTensor(d1) i2 = builder.addInputTensor(d2) o = builder.aiOnnx.mul([i1, i2]) builder.addOutputTensor(o) return [ o, popart.reservedGradientPrefix() + i1, popart.reservedGradientPrefix() + i2, popart.reservedGradientPrefix() + o ] def reference(ref_data): t1 = torch.tensor(d1, requires_grad=True) t2 = torch.tensor(d2, requires_grad=True) out = t1 * t2 d__o = torch.tensor(ref_data.getOutputTensorGrad(0)) assert not torch.isnan(d__o).any() out.backward(d__o) return [out, t1.grad, t2.grad, None] op_tester.setPatterns(['PreUniRepl', 'MulArgGradOp'], enableRuntimeAsserts=False) op_tester.run(init_builder, reference, step_type='train') def test_broadcast_mul(op_tester): d1 = np.random.rand(2, 2).astype(np.float32) d2 = np.random.rand(2).astype(np.float32) def init_builder(builder): i1 = builder.addInputTensor(d1) i2 = builder.addInputTensor(d2) o = builder.aiOnnx.mul([i1, i2]) builder.addOutputTensor(o) return [ o, popart.reservedGradientPrefix() + i1, popart.reservedGradientPrefix() + i2, popart.reservedGradientPrefix() + o ] def reference(ref_data): t1 = torch.tensor(d1, requires_grad=True) t2 = torch.tensor(d2, requires_grad=True) out = t1 * t2 d__o = torch.tensor(ref_data.getOutputTensorGrad(0)) assert not torch.isnan(d__o).any() out.backward(d__o) return [out, t1.grad, t2.grad, None] op_tester.setPatterns(['PreUniRepl', 'MulArgGradOp'], enableRuntimeAsserts=False) op_tester.run(init_builder, reference, step_type='train')
30.38961
61
0.633333
286
2,340
5.034965
0.27972
0.044444
0.033333
0.036111
0.809028
0.809028
0.809028
0.809028
0.773611
0.773611
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0.031519
0.254274
2,340
76
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30.789474
0.793696
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0.101695
false
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0
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0
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7
63c1604056a6fcedc5f3b660ad4d7424b193107c
308
bzl
Python
third_party/libcxx/revision.bzl
EdSchouten/bazel-toolchains
82f7462fea3630d702d73ccf2f3e38e34941977d
[ "Apache-2.0" ]
null
null
null
third_party/libcxx/revision.bzl
EdSchouten/bazel-toolchains
82f7462fea3630d702d73ccf2f3e38e34941977d
[ "Apache-2.0" ]
null
null
null
third_party/libcxx/revision.bzl
EdSchouten/bazel-toolchains
82f7462fea3630d702d73ccf2f3e38e34941977d
[ "Apache-2.0" ]
null
null
null
LIBCXX_REVISION = "r342117" DEBIAN8_LIBCXX_SHA256 = "1f28a992888e1da7a369e1e231ea31efa096954ed2b02065d73fb14e5982b922" DEBIAN9_LIBCXX_SHA256 = "3d60d0150da75ea617f7bca1de5914cb6f2f4d831d53dd4e8fb011f4a2bad8b2" UBUNTU16_04_LIBCXX_SHA256 = "3c814866724768a4e331f75dd015e4dcc9ae894dc4a320b7f332d5238e41e956"
38.5
94
0.912338
16
308
17.0625
0.6875
0.131868
0
0
0
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0
0
0
0
0
0.488055
0.048701
308
7
95
44
0.443686
0
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0.646104
0.623377
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false
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1
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0
0
0
0
0
0
0
0
8
983c3c62634b5e60023b767f1bf0ebb235d7aaf3
215
py
Python
seraphim/tracker/admin.py
malaclypse2/seraphim
5c3e48b1d3054bb4ea9ffe57be9cacf4f319d046
[ "MIT" ]
null
null
null
seraphim/tracker/admin.py
malaclypse2/seraphim
5c3e48b1d3054bb4ea9ffe57be9cacf4f319d046
[ "MIT" ]
null
null
null
seraphim/tracker/admin.py
malaclypse2/seraphim
5c3e48b1d3054bb4ea9ffe57be9cacf4f319d046
[ "MIT" ]
null
null
null
from django.contrib import admin # Register your models here. from .models import Combat, StatusEffectType, StatusEffect, Heal, Wound admin.site.register( [Combat, StatusEffectType, StatusEffect, Heal, Wound])
30.714286
71
0.786047
25
215
6.76
0.6
0.260355
0.402367
0.449704
0.508876
0
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0.130233
215
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1
0
0
0
0
7
9860445d8bf471d37155c5974c8c03e074137eac
4,590
py
Python
neural_network_lyapunov/geometry_transform.py
hongkai-dai/neural-network-lyapunov-1
8843c13f69f7f39cbb939ab250413e76f61843f6
[ "MIT" ]
58
2021-06-21T08:59:52.000Z
2022-03-31T14:35:23.000Z
neural_network_lyapunov/geometry_transform.py
StanfordASL/neural-network-lyapunov
9e5db1c7f91b42df729026c9aa8575bc126f66b6
[ "MIT" ]
8
2021-08-22T05:31:23.000Z
2022-03-29T03:47:07.000Z
neural_network_lyapunov/geometry_transform.py
StanfordASL/neural-network-lyapunov
9e5db1c7f91b42df729026c9aa8575bc126f66b6
[ "MIT" ]
11
2021-06-21T04:29:59.000Z
2022-03-30T05:54:43.000Z
import torch import numpy as np def rpy2rotmat(rpy): if isinstance(rpy, np.ndarray): cos_roll = np.cos(rpy[0]) sin_roll = np.sin(rpy[0]) cos_pitch = np.cos(rpy[1]) sin_pitch = np.sin(rpy[1]) cos_yaw = np.cos(rpy[2]) sin_yaw = np.sin(rpy[2]) R_roll = np.array([[1., 0, 0], [0, cos_roll, -sin_roll], [0, sin_roll, cos_roll]]) R_pitch = np.array([[cos_pitch, 0, sin_pitch], [0, 1., 0], [-sin_pitch, 0, cos_pitch]]) R_yaw = np.array([[cos_yaw, -sin_yaw, 0], [sin_yaw, cos_yaw, 0], [0, 0, 1.]]) return R_yaw @ R_pitch @ R_roll elif isinstance(rpy, torch.Tensor): cos_roll = torch.cos(rpy[0]) sin_roll = torch.sin(rpy[0]) cos_pitch = torch.cos(rpy[1]) sin_pitch = torch.sin(rpy[1]) cos_yaw = torch.cos(rpy[2]) sin_yaw = torch.sin(rpy[2]) R_roll = torch.zeros((3, 3), dtype=rpy.dtype) R_roll[0, 0] = 1 R_roll[1, 1] = cos_roll R_roll[1, 2] = -sin_roll R_roll[2, 1] = sin_roll R_roll[2, 2] = cos_roll R_pitch = torch.zeros((3, 3), dtype=rpy.dtype) R_pitch[1, 1] = 1 R_pitch[0, 0] = cos_pitch R_pitch[0, 2] = sin_pitch R_pitch[2, 0] = -sin_pitch R_pitch[2, 2] = cos_pitch R_yaw = torch.zeros((3, 3), dtype=rpy.dtype) R_yaw[0, 0] = cos_yaw R_yaw[0, 1] = -sin_yaw R_yaw[1, 0] = sin_yaw R_yaw[1, 1] = cos_yaw R_yaw[2, 2] = 1 return R_yaw @ R_pitch @ R_roll def rpy2rotmat_gradient(rpy): """ Returns dR/droll, dR/dpitch dR/dyaw """ if isinstance(rpy, np.ndarray): cos_roll = np.cos(rpy[0]) sin_roll = np.sin(rpy[0]) cos_pitch = np.cos(rpy[1]) sin_pitch = np.sin(rpy[1]) cos_yaw = np.cos(rpy[2]) sin_yaw = np.sin(rpy[2]) R_roll = np.array([[1., 0, 0], [0, cos_roll, -sin_roll], [0, sin_roll, cos_roll]]) dR_roll_droll = np.array([[0, 0, 0], [0, -sin_roll, -cos_roll], [0, cos_roll, -sin_roll]]) R_pitch = np.array([[cos_pitch, 0, sin_pitch], [0, 1., 0], [-sin_pitch, 0, cos_pitch]]) dR_pitch_dpitch = np.array([[-sin_pitch, 0, cos_pitch], [0, 0., 0], [-cos_pitch, 0, -sin_pitch]]) R_yaw = np.array([[cos_yaw, -sin_yaw, 0], [sin_yaw, cos_yaw, 0], [0, 0, 1.]]) dR_yaw_dyaw = np.array([[-sin_yaw, -cos_yaw, 0], [cos_yaw, -sin_yaw, 0], [0, 0, 0.]]) dR_droll = R_yaw @ R_pitch @ dR_roll_droll dR_dpitch = R_yaw @ dR_pitch_dpitch @ R_roll dR_dyaw = dR_yaw_dyaw @ R_pitch @ R_roll elif isinstance(rpy, torch.Tensor): cos_roll = torch.cos(rpy[0]) sin_roll = torch.sin(rpy[0]) cos_pitch = torch.cos(rpy[1]) sin_pitch = torch.sin(rpy[1]) cos_yaw = torch.cos(rpy[2]) sin_yaw = torch.sin(rpy[2]) R_roll = torch.zeros((3, 3), dtype=rpy.dtype) R_roll[0, 0] = 1 R_roll[1, 1] = cos_roll R_roll[1, 2] = -sin_roll R_roll[2, 1] = sin_roll R_roll[2, 2] = cos_roll dR_roll_droll = torch.zeros((3, 3), dtype=rpy.dtype) dR_roll_droll[1, 1] = -sin_roll dR_roll_droll[1, 2] = -cos_roll dR_roll_droll[2, 1] = cos_roll dR_roll_droll[2, 2] = -sin_roll R_pitch = torch.zeros((3, 3), dtype=rpy.dtype) R_pitch[1, 1] = 1 R_pitch[0, 0] = cos_pitch R_pitch[0, 2] = sin_pitch R_pitch[2, 0] = -sin_pitch R_pitch[2, 2] = cos_pitch dR_pitch_dpitch = torch.zeros((3, 3), dtype=rpy.dtype) dR_pitch_dpitch[0, 0] = -sin_pitch dR_pitch_dpitch[0, 2] = cos_pitch dR_pitch_dpitch[2, 0] = -cos_pitch dR_pitch_dpitch[2, 2] = -sin_pitch R_yaw = torch.zeros((3, 3), dtype=rpy.dtype) R_yaw[0, 0] = cos_yaw R_yaw[0, 1] = -sin_yaw R_yaw[1, 0] = sin_yaw R_yaw[1, 1] = cos_yaw R_yaw[2, 2] = 1 dR_yaw_dyaw = torch.zeros((3, 3), dtype=rpy.dtype) dR_yaw_dyaw[0, 0] = -sin_yaw dR_yaw_dyaw[0, 1] = -cos_yaw dR_yaw_dyaw[1, 0] = cos_yaw dR_yaw_dyaw[1, 1] = -sin_yaw dR_droll = R_yaw @ R_pitch @ dR_roll_droll dR_dpitch = R_yaw @ dR_pitch_dpitch @ R_roll dR_dyaw = dR_yaw_dyaw @ R_pitch @ R_roll return dR_droll, dR_dpitch, dR_dyaw
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7
f6b0d46ed3496fd30b420caa0c62956dfd7a4c94
8,018
py
Python
myapp/models.py
sharmin6630/Project-Distribution
32692653c309b417187ab0299f074a38d1a5bd3e
[ "MIT" ]
null
null
null
myapp/models.py
sharmin6630/Project-Distribution
32692653c309b417187ab0299f074a38d1a5bd3e
[ "MIT" ]
1
2021-08-04T15:41:05.000Z
2021-08-04T15:41:05.000Z
myapp/models.py
sharmin6630/Project-Distribution
32692653c309b417187ab0299f074a38d1a5bd3e
[ "MIT" ]
null
null
null
from django.db import models from django.contrib.auth.models import AbstractUser from django.utils.html import mark_safe from markdown import markdown from django.urls import reverse # Create your models here. #Lets build model classes here. class CustomUser(AbstractUser): user_type = models.CharField(null=True, blank=True, default=None, max_length=55) first_name = models.CharField(null=True, blank=True, default=None, max_length=55) last_name = models.CharField(null=True, blank=True, default=None, max_length=55) email = models.CharField(null=True, blank=True, default=None, max_length=55) password = models.CharField(null=True, blank=True, default=None, max_length=55) password1 = models.CharField(null=True, blank=True, default=None, max_length=55) def __str__(self): return self.first_name+" "+self.last_name class Student_data(models.Model): user_id = models.ForeignKey(CustomUser, default=1, on_delete=models.CASCADE) # student_id = models.AutoField(null=False,blank=False,default=None,primary_key=True) date_of_birth = models.DateField(null=True,blank=True,default=None) #reg_no = models.CharField(null=True,blank=True,default=None,max_length=20) ## address = models.TextField(null=True,blank=True,default=None) gender = models.CharField(null=True,blank=True,default=None,max_length=20) mobile_no = models.CharField(null=True,blank=True,default=None,max_length=20) blood_group = models.CharField(null=True,blank=True,default=None,max_length=20) photos = models.FileField(null=True,blank=True,default="images/default.png",upload_to='images/') major_cgpa = models.FloatField(null=True,blank=True,default=0.0,max_length=5) total_cgpa = models.FloatField(null=True,blank=True,default=0.0,max_length=5) linkedin = models.CharField(null=True, blank=True, default=None, max_length=55) github = models.CharField(null=True, blank=True, default=None, max_length=55) class Teachers_data(models.Model): #teacher_id = models.AutoField(null=False,blank=False,default=None,primary_key=True) user_id = models.ForeignKey(CustomUser, default=1, on_delete=models.CASCADE) date_of_birth = models.DateField(null=True,blank=True,default=None) gender = models.CharField(null=True,blank=True,default=None,max_length=20) address = models.TextField(null=True, blank=True, default=None) blood_group = models.CharField(null=True,blank=True,default=None,max_length=20) mobile_no = models.CharField(null=True,blank=True,default=None,max_length=20) designation = models.TextField(null=True,blank=True,default=None) photos = models.FileField(null=True,blank=True,default="teacher/default.png",upload_to='teacher/') sust_id = models.CharField(null=True, blank=True, default=None, max_length=55) scholar = models.CharField(null=True, blank=True, default=None, max_length=55) assigned_teams = models.IntegerField(null=True,blank=True,default=0) class Teacher_edu(models.Model): # edu_id=models.AutoField(null=False,blank=False,default=None,primary_key=True) user_id = models.ForeignKey(CustomUser, default=1, on_delete=models.CASCADE) MSc_Institute_name = models.CharField(null=True, blank=True, default=None, max_length=55) MSc_Institute_Country = models.CharField(null=True, blank=True, default=None, max_length=55) MSc_start_date = models.CharField(null=True, blank=True, default=None, max_length=55) MSc_end_date = models.CharField(null=True, blank=True, default=None, max_length=55) Phd_Institute_name = models.CharField(null=True, blank=True, default=None, max_length=55) Phd_Institute_Country = models.CharField(null=True, blank=True, default=None, max_length=55) Phd_start_date = models.CharField(null=True, blank=True, default=None, max_length=55) Phd_end_date = models.CharField(null=True, blank=True, default=None, max_length=55) class Paper(models.Model): # paper_id=models.AutoField(null=False,blank=False,default=None,primary_key=True) user_id = models.ForeignKey(CustomUser, default=1, on_delete=models.CASCADE) Research_area = models.CharField(null=True, blank=True, default=None, max_length=55) Published_Paper = models.CharField(null=True, blank=True, default=None, max_length=55) Published_Journal = models.CharField(null=True, blank=True, default=None, max_length=55) class compact_Form(models.Model): # paper_id=models.AutoField(null=False,blank=False,default=None,primary_key=True) student_1_id = models.ForeignKey(CustomUser, default=1, on_delete=models.CASCADE) student_1_username = models.CharField(null=True, blank=True, default=None, max_length=55) student_1_majorcg = models.FloatField(null=True,blank=True,default=None,max_length=5) student_1_totalcg = models.FloatField(null=True,blank=True,default=None,max_length=5) student_1_name = models.CharField(null=True, blank=True, default=None, max_length=55) student_2_id = models.CharField(null=True, blank=True, default=None, max_length=55) student_2_username = models.CharField(null=True, blank=True, default=None, max_length=55) student_2_name = models.CharField(null=True, blank=True, default=None, max_length=55) student_2_majorcg = models.FloatField(null=True,blank=True,default=None,max_length=5) student_2_totalcg = models.FloatField(null=True,blank=True,default=None,max_length=5) Course = models.CharField(null=True, blank=True, default=None, max_length=55) topic = models.CharField(null=True, blank=True, default=None, max_length=500) description = models.CharField(null=True, blank=True, default=None, max_length=5000) supervisor_1 = models.CharField(null=True, blank=True, default=None, max_length=55) supervisor_2 = models.CharField(null=True, blank=True, default=None, max_length=55) supervisor_3 = models.CharField(null=True, blank=True, default=None, max_length=55) supervisor_4 = models.CharField(null=True, blank=True, default=None, max_length=55) supervisor_5 = models.CharField(null=True, blank=True, default=None, max_length=55) external = models.CharField(null=True, blank=True, default=None, max_length=55) supervisor_1_name = models.CharField(null=True, blank=True, default=None, max_length=55) supervisor_2_name = models.CharField(null=True, blank=True, default=None, max_length=55) supervisor_3_name = models.CharField(null=True, blank=True, default=None, max_length=55) supervisor_4_name = models.CharField(null=True, blank=True, default=None, max_length=55) supervisor_5_name = models.CharField(null=True, blank=True, default=None, max_length=55) assigned_external = models.CharField(null=True, blank=True, default=None, max_length=55) assigned_course = models.CharField(null=True, blank=True, default=None, max_length=55) assigned_supervisor = models.CharField(null=True, blank=True, default=None, max_length=55) assigned_supervisor_id = models.CharField(null=True, blank=True, default=None, max_length=55) action = models.CharField(null=True, blank=True, default="Save", max_length=55) class teamcount(): user_id_id = models.CharField(default=None, name="user_id_id", max_length=500) username = models.CharField(default=None, name="username", max_length=500) teamcount = models.CharField(default=None, name="teamcount", max_length=500) def __init__(self, user_id_id, username, teamcount): self.user_id_id = user_id_id self.username = username self.teamcount = teamcount class Notice(models.Model): title = models.CharField(max_length=100) message = models.TextField(max_length=2000) created_at = models.DateTimeField(auto_now=True) created_by = models.ForeignKey(CustomUser, related_name='posts', on_delete=models.DO_NOTHING) def __str__(self): return self.title def get_message_as_markdown(self): return mark_safe(markdown(self.message)) def get_absolute_url(self): return reverse('notice-detail',kwargs={'pk':self.pk})
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8
f6c490a4bc3acd816eeec3c92f2456cec6df220b
4,746
py
Python
tests/test_errors.py
pquentin/modelkit
d2278d4bdcd47b1d6cd98c895a9ffbbe9add2b7d
[ "MIT" ]
null
null
null
tests/test_errors.py
pquentin/modelkit
d2278d4bdcd47b1d6cd98c895a9ffbbe9add2b7d
[ "MIT" ]
null
null
null
tests/test_errors.py
pquentin/modelkit
d2278d4bdcd47b1d6cd98c895a9ffbbe9add2b7d
[ "MIT" ]
null
null
null
import pytest from modelkit.core.model import AsyncModel, Model class CustomError(BaseException): pass class OKModel(Model): def _predict(self, item): return self.model_dependencies["error_model"].predict(item) class ErrorModel(Model): def _predict(self, item): raise CustomError("something went wrong") class ErrorBatchModel(Model): def _predict_batch(self, item): raise CustomError("something went wrong") @pytest.mark.parametrize("model", [ErrorModel(), ErrorBatchModel()]) def test_prediction_error(model): with pytest.raises(CustomError) as excinfo: model.predict({}) assert len(excinfo.traceback) <= 3 with pytest.raises(CustomError) as excinfo: model.predict_batch([{}]) assert len(excinfo.traceback) <= 3 with pytest.raises(CustomError) as excinfo: next(model.predict_gen(iter(({},)))) assert len(excinfo.traceback) <= 3 def test_prediction_error_composition(): mm = OKModel(model_dependencies={"error_model": ErrorModel()}) mm.load() with pytest.raises(CustomError) as excinfo: mm.predict({}) assert len(excinfo.traceback) <= 4 with pytest.raises(CustomError) as excinfo: mm.predict_batch([{}]) assert len(excinfo.traceback) <= 4 with pytest.raises(CustomError) as excinfo: next(mm.predict_gen(iter(({},)))) assert len(excinfo.traceback) <= 4 @pytest.mark.parametrize("model", [ErrorModel(), ErrorBatchModel()]) def test_prediction_error_complex_tb(monkeypatch, model): monkeypatch.setenv("ENABLE_SIMPLE_TRACEBACK", False) with pytest.raises(CustomError) as excinfo: model.predict({}) assert len(excinfo.traceback) > 3 with pytest.raises(CustomError) as excinfo: model.predict_batch([{}]) assert len(excinfo.traceback) > 3 with pytest.raises(CustomError) as excinfo: next(model.predict_gen(iter(({},)))) assert len(excinfo.traceback) > 3 class AsyncOKModel(AsyncModel): async def _predict(self, item): return self.model_dependencies["error_model"].predict(item) class AsyncErrorModel(AsyncModel): async def _predict(self, item): raise CustomError("something went wrong") class AsyncErrorBatchModel(AsyncModel): async def _predict_batch(self, item): raise CustomError("something went wrong") @pytest.mark.asyncio @pytest.mark.parametrize("model", [AsyncErrorModel(), AsyncErrorBatchModel()]) async def test_prediction_error_async(model): with pytest.raises(CustomError) as excinfo: await model.predict({}) assert len(excinfo.traceback) <= 3 with pytest.raises(CustomError) as excinfo: await model.predict_batch([{}]) assert len(excinfo.traceback) <= 3 with pytest.raises(CustomError) as excinfo: async for x in model.predict_gen(iter(({},))): pass assert len(excinfo.traceback) <= 3 @pytest.mark.asyncio @pytest.mark.parametrize("model", [AsyncErrorModel(), AsyncErrorBatchModel()]) async def test_prediction_error_complex_tb_async(monkeypatch, model): monkeypatch.setenv("ENABLE_SIMPLE_TRACEBACK", False) with pytest.raises(CustomError) as excinfo: await model.predict({}) assert len(excinfo.traceback) > 3 with pytest.raises(CustomError) as excinfo: await model.predict_batch([{}]) assert len(excinfo.traceback) > 3 with pytest.raises(CustomError) as excinfo: async for x in model.predict_gen(iter(({},))): pass assert len(excinfo.traceback) > 3 def test_internal_error(monkeypatch): m = OKModel() class CustomError(BaseException): pass def _buggy_predict_cache_items(*args, **kwargs): raise CustomError yield None monkeypatch.setattr(m, "_predict_cache_items", _buggy_predict_cache_items) with pytest.raises(CustomError): m({}) with pytest.raises(CustomError): m.predict({}) with pytest.raises(CustomError): m.predict_batch([{}]) with pytest.raises(CustomError): for _ in m.predict_gen([{}]): pass @pytest.mark.asyncio async def test_internal_error_async(monkeypatch): m = AsyncOKModel() class CustomError(BaseException): pass async def _buggy_predict_cache_items(*args, **kwargs): raise CustomError yield None monkeypatch.setattr(m, "_predict_cache_items", _buggy_predict_cache_items) with pytest.raises(CustomError): await m({}) with pytest.raises(CustomError): await m.predict({}) with pytest.raises(CustomError): await m.predict_batch([{}]) with pytest.raises(CustomError): async for _ in m.predict_gen(iter(({},))): pass
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9
63dcab85e40ecaa4b63b3fb50186767497a38dc3
927
py
Python
python/lib/math_utils.py
aiver-workshop/intro-algo
f45f9f7873d94b76ff4edb3663c16ce45253922c
[ "MIT" ]
null
null
null
python/lib/math_utils.py
aiver-workshop/intro-algo
f45f9f7873d94b76ff4edb3663c16ce45253922c
[ "MIT" ]
null
null
null
python/lib/math_utils.py
aiver-workshop/intro-algo
f45f9f7873d94b76ff4edb3663c16ce45253922c
[ "MIT" ]
null
null
null
from decimal import Decimal def to_nearest(num, tick_size: float): """Given a number, round it to the nearest tick. Very useful for sussing float error out of numbers: e.g. to_nearest(401.46, 0.01) -> 401.46, whereas processing is normally with floats would give you 401.46000000000004. Use this after adding/subtracting/multiplying numbers.""" tick_dec = Decimal(str(tick_size)) return float((Decimal(round(num / tick_size, 0)) * tick_dec)) def to_nearest_int(num, tick_size: float): """Given a number, round it to the nearest tick. Very useful for sussing float error out of numbers: e.g. to_nearest(401.46, 0.01) -> 401.46, whereas processing is normally with floats would give you 401.46000000000004. Use this after adding/subtracting/multiplying numbers.""" tick_dec = Decimal(str(tick_size)) return int((Decimal(round(num / tick_size, 0)) * tick_dec))
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8
89c2446605bb9f0f085e3c165f0e9f271a3cd513
184
py
Python
wosfile/__init__.py
Abandon17-tech/wosfile
bca2dffa64b7c5d996c5efd2ac7a1196011fc24c
[ "BSD-3-Clause" ]
16
2019-11-07T01:18:40.000Z
2022-02-15T18:28:46.000Z
wosfile/__init__.py
Abandon17-tech/wosfile
bca2dffa64b7c5d996c5efd2ac7a1196011fc24c
[ "BSD-3-Clause" ]
8
2019-11-27T12:38:56.000Z
2021-04-29T06:58:41.000Z
wosfile/__init__.py
Abandon17-tech/wosfile
bca2dffa64b7c5d996c5efd2ac7a1196011fc24c
[ "BSD-3-Clause" ]
8
2019-07-26T09:22:45.000Z
2022-02-15T01:49:26.000Z
from .record import * from .read import * # type: ignore # https://github.com/python/mypy/issues/5479 from .tags import * # type: ignore # https://github.com/python/mypy/issues/5479
46
80
0.717391
27
184
4.888889
0.518519
0.151515
0.242424
0.318182
0.757576
0.757576
0.757576
0.757576
0.757576
0.757576
0
0.05
0.130435
184
3
81
61.333333
0.775
0.61413
0
0
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1
0
true
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1
0
1
0
0
null
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1
1
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1
1
1
1
1
0
0
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1
0
1
0
0
0
0
11
d610d333e454a411431cc88c1eb3e8dcff1c6e87
165
py
Python
tests/test_version.py
iamamutt/datajoint-utilities
e5c87cf968d4a50f6819fd6ab743f264641947cc
[ "MIT" ]
1
2022-02-03T18:19:50.000Z
2022-02-03T18:19:50.000Z
tests/test_version.py
iamamutt/datajoint-utilities
e5c87cf968d4a50f6819fd6ab743f264641947cc
[ "MIT" ]
4
2021-12-07T01:42:24.000Z
2022-02-21T17:36:56.000Z
tests/test_version.py
iamamutt/datajoint-utilities
e5c87cf968d4a50f6819fd6ab743f264641947cc
[ "MIT" ]
2
2021-01-11T16:18:09.000Z
2021-01-26T17:13:24.000Z
from dj_search.meta import __version__ as version_meta from dj_search import __version__ as version_pkg def test_version(): assert version_pkg == version_meta
23.571429
54
0.818182
25
165
4.8
0.44
0.1
0.2
0.366667
0
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0.145455
165
6
55
27.5
0.851064
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0.25
1
0.25
true
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null
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1
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null
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1
1
0
1
0
1
0
0
8
d63d2b69c4858bc2a1cb0b3b4c1cb25f995de0c0
17,752
py
Python
bl/tests/data.py
djfroofy/beatlounge
6ab173e2e1e3a8a357063e020f0392fa71330382
[ "MIT" ]
8
2015-04-29T02:52:42.000Z
2018-12-06T17:49:32.000Z
bl/tests/data.py
djfroofy/beatlounge
6ab173e2e1e3a8a357063e020f0392fa71330382
[ "MIT" ]
null
null
null
bl/tests/data.py
djfroofy/beatlounge
6ab173e2e1e3a8a357063e020f0392fa71330382
[ "MIT" ]
null
null
null
measure_standard_beats = [ (0, 0, 0, 0, 0), (0, 0, 0, 0, 1), (0, 0, 0, 0, 2), (0, 0, 0, 0, 3), (0, 0, 0, 0, 4), (0, 0, 0, 0, 5), (0, 0, 0, 1, 0), (0, 0, 0, 1, 1), (0, 0, 0, 1, 2), (0, 0, 0, 1, 3), (0, 0, 0, 1, 4), (0, 0, 0, 1, 5), (0, 0, 1, 0, 0), (0, 0, 1, 0, 1), (0, 0, 1, 0, 2), (0, 0, 1, 0, 3), (0, 0, 1, 0, 4), (0, 0, 1, 0, 5), (0, 0, 1, 1, 0), (0, 0, 1, 1, 1), (0, 0, 1, 1, 2), (0, 0, 1, 1, 3), (0, 0, 1, 1, 4), (0, 0, 1, 1, 5), (0, 1, 0, 0, 0), (0, 1, 0, 0, 1), (0, 1, 0, 0, 2), (0, 1, 0, 0, 3), (0, 1, 0, 0, 4), (0, 1, 0, 0, 5), (0, 1, 0, 1, 0), (0, 1, 0, 1, 1), (0, 1, 0, 1, 2), (0, 1, 0, 1, 3), (0, 1, 0, 1, 4), (0, 1, 0, 1, 5), (0, 1, 1, 0, 0), (0, 1, 1, 0, 1), (0, 1, 1, 0, 2), (0, 1, 1, 0, 3), (0, 1, 1, 0, 4), (0, 1, 1, 0, 5), (0, 1, 1, 1, 0), (0, 1, 1, 1, 1), (0, 1, 1, 1, 2), (0, 1, 1, 1, 3), (0, 1, 1, 1, 4), (0, 1, 1, 1, 5), (0, 2, 0, 0, 0), (0, 2, 0, 0, 1), (0, 2, 0, 0, 2), (0, 2, 0, 0, 3), (0, 2, 0, 0, 4), (0, 2, 0, 0, 5), (0, 2, 0, 1, 0), (0, 2, 0, 1, 1), (0, 2, 0, 1, 2), (0, 2, 0, 1, 3), (0, 2, 0, 1, 4), (0, 2, 0, 1, 5), (0, 2, 1, 0, 0), (0, 2, 1, 0, 1), (0, 2, 1, 0, 2), (0, 2, 1, 0, 3), (0, 2, 1, 0, 4), (0, 2, 1, 0, 5), (0, 2, 1, 1, 0), (0, 2, 1, 1, 1), (0, 2, 1, 1, 2), (0, 2, 1, 1, 3), (0, 2, 1, 1, 4), (0, 2, 1, 1, 5), (0, 3, 0, 0, 0), (0, 3, 0, 0, 1), (0, 3, 0, 0, 2), (0, 3, 0, 0, 3), (0, 3, 0, 0, 4), (0, 3, 0, 0, 5), (0, 3, 0, 1, 0), (0, 3, 0, 1, 1), (0, 3, 0, 1, 2), (0, 3, 0, 1, 3), (0, 3, 0, 1, 4), (0, 3, 0, 1, 5), (0, 3, 1, 0, 0), (0, 3, 1, 0, 1), (0, 3, 1, 0, 2), (0, 3, 1, 0, 3), (0, 3, 1, 0, 4), (0, 3, 1, 0, 5), (0, 3, 1, 1, 0), (0, 3, 1, 1, 1), (0, 3, 1, 1, 2), (0, 3, 1, 1, 3), (0, 3, 1, 1, 4), (0, 3, 1, 1, 5), (1, 0, 0, 0, 0), (1, 0, 0, 0, 1), (1, 0, 0, 0, 2), (1, 0, 0, 0, 3), (1, 0, 0, 0, 4), (1, 0, 0, 0, 5), (1, 0, 0, 1, 0), (1, 0, 0, 1, 1), (1, 0, 0, 1, 2), (1, 0, 0, 1, 3), (1, 0, 0, 1, 4), (1, 0, 0, 1, 5), (1, 0, 1, 0, 0), (1, 0, 1, 0, 1), (1, 0, 1, 0, 2), (1, 0, 1, 0, 3), (1, 0, 1, 0, 4), (1, 0, 1, 0, 5), (1, 0, 1, 1, 0), (1, 0, 1, 1, 1), (1, 0, 1, 1, 2), (1, 0, 1, 1, 3), (1, 0, 1, 1, 4), (1, 0, 1, 1, 5), (1, 1, 0, 0, 0), (1, 1, 0, 0, 1), (1, 1, 0, 0, 2), (1, 1, 0, 0, 3), (1, 1, 0, 0, 4), (1, 1, 0, 0, 5), (1, 1, 0, 1, 0), (1, 1, 0, 1, 1), (1, 1, 0, 1, 2), (1, 1, 0, 1, 3), (1, 1, 0, 1, 4), (1, 1, 0, 1, 5), (1, 1, 1, 0, 0), (1, 1, 1, 0, 1), (1, 1, 1, 0, 2), (1, 1, 1, 0, 3), (1, 1, 1, 0, 4), (1, 1, 1, 0, 5), (1, 1, 1, 1, 0), (1, 1, 1, 1, 1), (1, 1, 1, 1, 2), (1, 1, 1, 1, 3), (1, 1, 1, 1, 4), (1, 1, 1, 1, 5), (1, 2, 0, 0, 0), (1, 2, 0, 0, 1), (1, 2, 0, 0, 2), (1, 2, 0, 0, 3), (1, 2, 0, 0, 4), (1, 2, 0, 0, 5), (1, 2, 0, 1, 0), (1, 2, 0, 1, 1), (1, 2, 0, 1, 2), (1, 2, 0, 1, 3), (1, 2, 0, 1, 4), (1, 2, 0, 1, 5), (1, 2, 1, 0, 0), (1, 2, 1, 0, 1), (1, 2, 1, 0, 2), (1, 2, 1, 0, 3), (1, 2, 1, 0, 4), (1, 2, 1, 0, 5), (1, 2, 1, 1, 0), (1, 2, 1, 1, 1), (1, 2, 1, 1, 2), (1, 2, 1, 1, 3), (1, 2, 1, 1, 4), (1, 2, 1, 1, 5), (1, 3, 0, 0, 0), (1, 3, 0, 0, 1), (1, 3, 0, 0, 2), (1, 3, 0, 0, 3), (1, 3, 0, 0, 4), (1, 3, 0, 0, 5), (1, 3, 0, 1, 0), (1, 3, 0, 1, 1), (1, 3, 0, 1, 2), (1, 3, 0, 1, 3), (1, 3, 0, 1, 4), (1, 3, 0, 1, 5), (1, 3, 1, 0, 0), (1, 3, 1, 0, 1), (1, 3, 1, 0, 2), (1, 3, 1, 0, 3), (1, 3, 1, 0, 4), (1, 3, 1, 0, 5), (1, 3, 1, 1, 0), (1, 3, 1, 1, 1), (1, 3, 1, 1, 2), (1, 3, 1, 1, 3), (1, 3, 1, 1, 4), (1, 3, 1, 1, 5), ] measure_34_beats = [ (0, 0, 0, 0, 0), (0, 0, 0, 0, 1), (0, 0, 0, 0, 2), (0, 0, 0, 0, 3), (0, 0, 0, 0, 4), (0, 0, 0, 0, 5), (0, 0, 0, 1, 0), (0, 0, 0, 1, 1), (0, 0, 0, 1, 2), (0, 0, 0, 1, 3), (0, 0, 0, 1, 4), (0, 0, 0, 1, 5), (0, 0, 1, 0, 0), (0, 0, 1, 0, 1), (0, 0, 1, 0, 2), (0, 0, 1, 0, 3), (0, 0, 1, 0, 4), (0, 0, 1, 0, 5), (0, 0, 1, 1, 0), (0, 0, 1, 1, 1), (0, 0, 1, 1, 2), (0, 0, 1, 1, 3), (0, 0, 1, 1, 4), (0, 0, 1, 1, 5), (0, 1, 0, 0, 0), (0, 1, 0, 0, 1), (0, 1, 0, 0, 2), (0, 1, 0, 0, 3), (0, 1, 0, 0, 4), (0, 1, 0, 0, 5), (0, 1, 0, 1, 0), (0, 1, 0, 1, 1), (0, 1, 0, 1, 2), (0, 1, 0, 1, 3), (0, 1, 0, 1, 4), (0, 1, 0, 1, 5), (0, 1, 1, 0, 0), (0, 1, 1, 0, 1), (0, 1, 1, 0, 2), (0, 1, 1, 0, 3), (0, 1, 1, 0, 4), (0, 1, 1, 0, 5), (0, 1, 1, 1, 0), (0, 1, 1, 1, 1), (0, 1, 1, 1, 2), (0, 1, 1, 1, 3), (0, 1, 1, 1, 4), (0, 1, 1, 1, 5), (0, 2, 0, 0, 0), (0, 2, 0, 0, 1), (0, 2, 0, 0, 2), (0, 2, 0, 0, 3), (0, 2, 0, 0, 4), (0, 2, 0, 0, 5), (0, 2, 0, 1, 0), (0, 2, 0, 1, 1), (0, 2, 0, 1, 2), (0, 2, 0, 1, 3), (0, 2, 0, 1, 4), (0, 2, 0, 1, 5), (0, 2, 1, 0, 0), (0, 2, 1, 0, 1), (0, 2, 1, 0, 2), (0, 2, 1, 0, 3), (0, 2, 1, 0, 4), (0, 2, 1, 0, 5), (0, 2, 1, 1, 0), (0, 2, 1, 1, 1), (0, 2, 1, 1, 2), (0, 2, 1, 1, 3), (0, 2, 1, 1, 4), (0, 2, 1, 1, 5), (1, 0, 0, 0, 0), (1, 0, 0, 0, 1), (1, 0, 0, 0, 2), (1, 0, 0, 0, 3), (1, 0, 0, 0, 4), (1, 0, 0, 0, 5), (1, 0, 0, 1, 0), (1, 0, 0, 1, 1), (1, 0, 0, 1, 2), (1, 0, 0, 1, 3), (1, 0, 0, 1, 4), (1, 0, 0, 1, 5), (1, 0, 1, 0, 0), (1, 0, 1, 0, 1), (1, 0, 1, 0, 2), (1, 0, 1, 0, 3), (1, 0, 1, 0, 4), (1, 0, 1, 0, 5), (1, 0, 1, 1, 0), (1, 0, 1, 1, 1), (1, 0, 1, 1, 2), (1, 0, 1, 1, 3), (1, 0, 1, 1, 4), (1, 0, 1, 1, 5), (1, 1, 0, 0, 0), (1, 1, 0, 0, 1), (1, 1, 0, 0, 2), (1, 1, 0, 0, 3), (1, 1, 0, 0, 4), (1, 1, 0, 0, 5), (1, 1, 0, 1, 0), (1, 1, 0, 1, 1), (1, 1, 0, 1, 2), (1, 1, 0, 1, 3), (1, 1, 0, 1, 4), (1, 1, 0, 1, 5), (1, 1, 1, 0, 0), (1, 1, 1, 0, 1), (1, 1, 1, 0, 2), (1, 1, 1, 0, 3), (1, 1, 1, 0, 4), (1, 1, 1, 0, 5), (1, 1, 1, 1, 0), (1, 1, 1, 1, 1), (1, 1, 1, 1, 2), (1, 1, 1, 1, 3), (1, 1, 1, 1, 4), (1, 1, 1, 1, 5), (1, 2, 0, 0, 0), (1, 2, 0, 0, 1), (1, 2, 0, 0, 2), (1, 2, 0, 0, 3), (1, 2, 0, 0, 4), (1, 2, 0, 0, 5), (1, 2, 0, 1, 0), (1, 2, 0, 1, 1), (1, 2, 0, 1, 2), (1, 2, 0, 1, 3), (1, 2, 0, 1, 4), (1, 2, 0, 1, 5), (1, 2, 1, 0, 0), (1, 2, 1, 0, 1), (1, 2, 1, 0, 2), (1, 2, 1, 0, 3), (1, 2, 1, 0, 4), (1, 2, 1, 0, 5), (1, 2, 1, 1, 0), (1, 2, 1, 1, 1), (1, 2, 1, 1, 2), (1, 2, 1, 1, 3), (1, 2, 1, 1, 4), (1, 2, 1, 1, 5), (2, 0, 0, 0, 0), (2, 0, 0, 0, 1), (2, 0, 0, 0, 2), (2, 0, 0, 0, 3), (2, 0, 0, 0, 4), (2, 0, 0, 0, 5), (2, 0, 0, 1, 0), (2, 0, 0, 1, 1), (2, 0, 0, 1, 2), (2, 0, 0, 1, 3), (2, 0, 0, 1, 4), (2, 0, 0, 1, 5), (2, 0, 1, 0, 0), (2, 0, 1, 0, 1), (2, 0, 1, 0, 2), (2, 0, 1, 0, 3), (2, 0, 1, 0, 4), (2, 0, 1, 0, 5), (2, 0, 1, 1, 0), (2, 0, 1, 1, 1), (2, 0, 1, 1, 2), (2, 0, 1, 1, 3), (2, 0, 1, 1, 4), (2, 0, 1, 1, 5), (2, 1, 0, 0, 0), (2, 1, 0, 0, 1), (2, 1, 0, 0, 2), (2, 1, 0, 0, 3), (2, 1, 0, 0, 4), (2, 1, 0, 0, 5), (2, 1, 0, 1, 0), (2, 1, 0, 1, 1), (2, 1, 0, 1, 2), (2, 1, 0, 1, 3), (2, 1, 0, 1, 4), (2, 1, 0, 1, 5), (2, 1, 1, 0, 0), (2, 1, 1, 0, 1), (2, 1, 1, 0, 2), (2, 1, 1, 0, 3), (2, 1, 1, 0, 4), (2, 1, 1, 0, 5), (2, 1, 1, 1, 0), (2, 1, 1, 1, 1), (2, 1, 1, 1, 2), (2, 1, 1, 1, 3), (2, 1, 1, 1, 4), (2, 1, 1, 1, 5), ] measure_54_beats = [ (0, 0, 0, 0, 0), (0, 0, 0, 0, 1), (0, 0, 0, 0, 2), (0, 0, 0, 0, 3), (0, 0, 0, 0, 4), (0, 0, 0, 0, 5), (0, 0, 0, 1, 0), (0, 0, 0, 1, 1), (0, 0, 0, 1, 2), (0, 0, 0, 1, 3), (0, 0, 0, 1, 4), (0, 0, 0, 1, 5), (0, 0, 1, 0, 0), (0, 0, 1, 0, 1), (0, 0, 1, 0, 2), (0, 0, 1, 0, 3), (0, 0, 1, 0, 4), (0, 0, 1, 0, 5), (0, 0, 1, 1, 0), (0, 0, 1, 1, 1), (0, 0, 1, 1, 2), (0, 0, 1, 1, 3), (0, 0, 1, 1, 4), (0, 0, 1, 1, 5), (0, 1, 0, 0, 0), (0, 1, 0, 0, 1), (0, 1, 0, 0, 2), (0, 1, 0, 0, 3), (0, 1, 0, 0, 4), (0, 1, 0, 0, 5), (0, 1, 0, 1, 0), (0, 1, 0, 1, 1), (0, 1, 0, 1, 2), (0, 1, 0, 1, 3), (0, 1, 0, 1, 4), (0, 1, 0, 1, 5), (0, 1, 1, 0, 0), (0, 1, 1, 0, 1), (0, 1, 1, 0, 2), (0, 1, 1, 0, 3), (0, 1, 1, 0, 4), (0, 1, 1, 0, 5), (0, 1, 1, 1, 0), (0, 1, 1, 1, 1), (0, 1, 1, 1, 2), (0, 1, 1, 1, 3), (0, 1, 1, 1, 4), (0, 1, 1, 1, 5), (0, 2, 0, 0, 0), (0, 2, 0, 0, 1), (0, 2, 0, 0, 2), (0, 2, 0, 0, 3), (0, 2, 0, 0, 4), (0, 2, 0, 0, 5), (0, 2, 0, 1, 0), (0, 2, 0, 1, 1), (0, 2, 0, 1, 2), (0, 2, 0, 1, 3), (0, 2, 0, 1, 4), (0, 2, 0, 1, 5), (0, 2, 1, 0, 0), (0, 2, 1, 0, 1), (0, 2, 1, 0, 2), (0, 2, 1, 0, 3), (0, 2, 1, 0, 4), (0, 2, 1, 0, 5), (0, 2, 1, 1, 0), (0, 2, 1, 1, 1), (0, 2, 1, 1, 2), (0, 2, 1, 1, 3), (0, 2, 1, 1, 4), (0, 2, 1, 1, 5), (0, 3, 0, 0, 0), (0, 3, 0, 0, 1), (0, 3, 0, 0, 2), (0, 3, 0, 0, 3), (0, 3, 0, 0, 4), (0, 3, 0, 0, 5), (0, 3, 0, 1, 0), (0, 3, 0, 1, 1), (0, 3, 0, 1, 2), (0, 3, 0, 1, 3), (0, 3, 0, 1, 4), (0, 3, 0, 1, 5), (0, 3, 1, 0, 0), (0, 3, 1, 0, 1), (0, 3, 1, 0, 2), (0, 3, 1, 0, 3), (0, 3, 1, 0, 4), (0, 3, 1, 0, 5), (0, 3, 1, 1, 0), (0, 3, 1, 1, 1), (0, 3, 1, 1, 2), (0, 3, 1, 1, 3), (0, 3, 1, 1, 4), (0, 3, 1, 1, 5), (0, 4, 0, 0, 0), (0, 4, 0, 0, 1), (0, 4, 0, 0, 2), (0, 4, 0, 0, 3), (0, 4, 0, 0, 4), (0, 4, 0, 0, 5), (0, 4, 0, 1, 0), (0, 4, 0, 1, 1), (0, 4, 0, 1, 2), (0, 4, 0, 1, 3), (0, 4, 0, 1, 4), (0, 4, 0, 1, 5), (0, 4, 1, 0, 0), (0, 4, 1, 0, 1), (0, 4, 1, 0, 2), (0, 4, 1, 0, 3), (0, 4, 1, 0, 4), (0, 4, 1, 0, 5), (0, 4, 1, 1, 0), (0, 4, 1, 1, 1), (0, 4, 1, 1, 2), (0, 4, 1, 1, 3), (0, 4, 1, 1, 4), (0, 4, 1, 1, 5), (1, 0, 0, 0, 0), (1, 0, 0, 0, 1), (1, 0, 0, 0, 2), (1, 0, 0, 0, 3), (1, 0, 0, 0, 4), (1, 0, 0, 0, 5), (1, 0, 0, 1, 0), (1, 0, 0, 1, 1), (1, 0, 0, 1, 2), (1, 0, 0, 1, 3), (1, 0, 0, 1, 4), (1, 0, 0, 1, 5), (1, 0, 1, 0, 0), (1, 0, 1, 0, 1), (1, 0, 1, 0, 2), (1, 0, 1, 0, 3), (1, 0, 1, 0, 4), (1, 0, 1, 0, 5), (1, 0, 1, 1, 0), (1, 0, 1, 1, 1), (1, 0, 1, 1, 2), (1, 0, 1, 1, 3), (1, 0, 1, 1, 4), (1, 0, 1, 1, 5), (1, 1, 0, 0, 0), (1, 1, 0, 0, 1), (1, 1, 0, 0, 2), (1, 1, 0, 0, 3), (1, 1, 0, 0, 4), (1, 1, 0, 0, 5), (1, 1, 0, 1, 0), (1, 1, 0, 1, 1), (1, 1, 0, 1, 2), (1, 1, 0, 1, 3), (1, 1, 0, 1, 4), (1, 1, 0, 1, 5), (1, 1, 1, 0, 0), (1, 1, 1, 0, 1), (1, 1, 1, 0, 2), (1, 1, 1, 0, 3), (1, 1, 1, 0, 4), (1, 1, 1, 0, 5), (1, 1, 1, 1, 0), (1, 1, 1, 1, 1), (1, 1, 1, 1, 2), (1, 1, 1, 1, 3), (1, 1, 1, 1, 4), (1, 1, 1, 1, 5), (1, 2, 0, 0, 0), (1, 2, 0, 0, 1), (1, 2, 0, 0, 2), (1, 2, 0, 0, 3), (1, 2, 0, 0, 4), (1, 2, 0, 0, 5), (1, 2, 0, 1, 0), (1, 2, 0, 1, 1), (1, 2, 0, 1, 2), (1, 2, 0, 1, 3), (1, 2, 0, 1, 4), (1, 2, 0, 1, 5), (1, 2, 1, 0, 0), (1, 2, 1, 0, 1), (1, 2, 1, 0, 2), (1, 2, 1, 0, 3), (1, 2, 1, 0, 4), (1, 2, 1, 0, 5), (1, 2, 1, 1, 0), (1, 2, 1, 1, 1), (1, 2, 1, 1, 2), (1, 2, 1, 1, 3), (1, 2, 1, 1, 4), (1, 2, 1, 1, 5), ] measure_98_beats = [ (0, 0, 0, 0, 0), (0, 0, 0, 0, 1), (0, 0, 0, 0, 2), (0, 0, 0, 0, 3), (0, 0, 0, 0, 4), (0, 0, 0, 0, 5), (0, 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(0, 2, 1, 0, 5), (0, 2, 1, 1, 0), (0, 2, 1, 1, 1), (0, 2, 1, 1, 2), (0, 2, 1, 1, 3), (0, 2, 1, 1, 4), (0, 2, 1, 1, 5), (0, 3, 0, 0, 0), (0, 3, 0, 0, 1), (0, 3, 0, 0, 2), (0, 3, 0, 0, 3), (0, 3, 0, 0, 4), (0, 3, 0, 0, 5), (0, 3, 0, 1, 0), (0, 3, 0, 1, 1), (0, 3, 0, 1, 2), (0, 3, 0, 1, 3), (0, 3, 0, 1, 4), (0, 3, 0, 1, 5), (0, 3, 1, 0, 0), (0, 3, 1, 0, 1), (0, 3, 1, 0, 2), (0, 3, 1, 0, 3), (0, 3, 1, 0, 4), (0, 3, 1, 0, 5), (0, 3, 1, 1, 0), (0, 3, 1, 1, 1), (0, 3, 1, 1, 2), (0, 3, 1, 1, 3), (0, 3, 1, 1, 4), (0, 3, 1, 1, 5), (0, 4, 0, 0, 0), (0, 4, 0, 0, 1), (0, 4, 0, 0, 2), (0, 4, 0, 0, 3), (0, 4, 0, 0, 4), (0, 4, 0, 0, 5), (0, 4, 0, 1, 0), (0, 4, 0, 1, 1), (0, 4, 0, 1, 2), (0, 4, 0, 1, 3), (0, 4, 0, 1, 4), (0, 4, 0, 1, 5), (1, 0, 0, 0, 0), (1, 0, 0, 0, 1), (1, 0, 0, 0, 2), (1, 0, 0, 0, 3), (1, 0, 0, 0, 4), (1, 0, 0, 0, 5), (1, 0, 0, 1, 0), (1, 0, 0, 1, 1), (1, 0, 0, 1, 2), (1, 0, 0, 1, 3), (1, 0, 0, 1, 4), (1, 0, 0, 1, 5), (1, 0, 1, 0, 0), (1, 0, 1, 0, 1), (1, 0, 1, 0, 2), (1, 0, 1, 0, 3), (1, 0, 1, 0, 4), (1, 0, 1, 0, 5), (1, 0, 1, 1, 0), (1, 0, 1, 1, 1), (1, 0, 1, 1, 2), (1, 0, 1, 1, 3), (1, 0, 1, 1, 4), (1, 0, 1, 1, 5), (1, 1, 0, 0, 0), (1, 1, 0, 0, 1), (1, 1, 0, 0, 2), (1, 1, 0, 0, 3), (1, 1, 0, 0, 4), (1, 1, 0, 0, 5), (1, 1, 0, 1, 0), (1, 1, 0, 1, 1), (1, 1, 0, 1, 2), (1, 1, 0, 1, 3), (1, 1, 0, 1, 4), (1, 1, 0, 1, 5), (1, 1, 1, 0, 0), (1, 1, 1, 0, 1), (1, 1, 1, 0, 2), (1, 1, 1, 0, 3), (1, 1, 1, 0, 4), (1, 1, 1, 0, 5), (1, 1, 1, 1, 0), (1, 1, 1, 1, 1), (1, 1, 1, 1, 2), (1, 1, 1, 1, 3), (1, 1, 1, 1, 4), (1, 1, 1, 1, 5), (1, 2, 0, 0, 0), (1, 2, 0, 0, 1), (1, 2, 0, 0, 2), (1, 2, 0, 0, 3), (1, 2, 0, 0, 4), (1, 2, 0, 0, 5), (1, 2, 0, 1, 0), (1, 2, 0, 1, 1), (1, 2, 0, 1, 2), (1, 2, 0, 1, 3), (1, 2, 0, 1, 4), (1, 2, 0, 1, 5), (1, 2, 1, 0, 0), (1, 2, 1, 0, 1), (1, 2, 1, 0, 2), (1, 2, 1, 0, 3), (1, 2, 1, 0, 4), (1, 2, 1, 0, 5), (1, 2, 1, 1, 0), (1, 2, 1, 1, 1), (1, 2, 1, 1, 2), (1, 2, 1, 1, 3), (1, 2, 1, 1, 4), (1, 2, 1, 1, 5), (1, 3, 0, 0, 0), (1, 3, 0, 0, 1), (1, 3, 0, 0, 2), (1, 3, 0, 0, 3), (1, 3, 0, 0, 4), (1, 3, 0, 0, 5), (1, 3, 0, 1, 0), (1, 3, 0, 1, 1), (1, 3, 0, 1, 2), (1, 3, 0, 1, 3), (1, 3, 0, 1, 4), (1, 3, 0, 1, 5), ] sinusoid_velocities = [ 50, 52, 54, 57, 59, 61, 63, 65, 66, 68, 69, 69, 69, 69, 69, 69, 68, 66, 65, 63, 61, 59, 57, 54, 52, 49, 47, 45, 42, 40, 38, 36, 34, 33, 31, 30, 30, 30, 30, 30, 30, 31, 33, 34, 36, 38, 40, 42, 45, 47, 50, 52, 54, 57, 59, 61, 63, 65, 66, 68, 69, 69, 69, 69, 69, 69, 68, 66, 65, 63, 61, 59, 57, 54, 52, 50, 47, 45, 42, 40, 38, 36, 34, 33, 31, 30, 30, 30, 30, 30, 30, 31, 33, 34, 36, 38, 40, 42, 45, 47] sawtooth_velocities = [ 50, 52, 54, 56, 58, 60, 62, 64, 66, 68, 30, 32, 34, 36, 38, 40, 42, 44, 46, 48, 50, 52, 54, 56, 58, 60, 62, 64, 66, 68, 30, 32, 34, 36, 38, 40, 42, 44, 46, 48] triangle_velocities = [ 55, 58, 61, 64, 67, 70, 73, 76, 79, 82, 85, 82, 79, 76, 73, 70, 67, 64, 61, 58, 55, 58, 61, 64, 67, 70, 73, 76, 79, 82, 85, 82, 79, 76, 73, 70, 67, 64, 61, 58]
18.225873
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11
c3eee9ee40f652e86081b3d1622458dd6ac75ba7
3,394
py
Python
nnunet/network_architecture/transunet/vit_seg_configs.py
nntrongnghia/TDSI21-Shoulder-Muscle-Segmentation
29f0f83d93e4fdd8127261283dcf9242d9914ba6
[ "Apache-2.0" ]
1
2022-02-13T15:07:40.000Z
2022-02-13T15:07:40.000Z
nnunet/network_architecture/transunet/vit_seg_configs.py
nntrongnghia/TDSI21-Shoulder-Muscle-Segmentation
29f0f83d93e4fdd8127261283dcf9242d9914ba6
[ "Apache-2.0" ]
null
null
null
nnunet/network_architecture/transunet/vit_seg_configs.py
nntrongnghia/TDSI21-Shoulder-Muscle-Segmentation
29f0f83d93e4fdd8127261283dcf9242d9914ba6
[ "Apache-2.0" ]
2
2022-01-17T16:33:38.000Z
2022-01-17T17:13:26.000Z
import ml_collections def get_b16_config(): """Returns the ViT-B/16 configuration.""" config = ml_collections.ConfigDict() config.patches = ml_collections.ConfigDict({'size': (16, 16)}) config.hidden_size = 768 config.transformer = ml_collections.ConfigDict() config.transformer.mlp_dim = 3072 config.transformer.num_heads = 12 config.transformer.num_layers = 12 config.transformer.attention_dropout_rate = 0.0 config.transformer.dropout_rate = 0.1 config.classifier = 'seg' config.representation_size = None config.resnet_pretrained_path = None config.patch_size = 16 config.decoder_channels = (256, 128, 64, 16) config.n_classes = 2 config.activation = 'softmax' return config def get_b16_3d_config(): """Returns the ViT-B/16 configuration.""" config = ml_collections.ConfigDict() config.patches = ml_collections.ConfigDict({'size': (16, 16, 16)}) config.hidden_size = 768 config.transformer = ml_collections.ConfigDict() config.transformer.mlp_dim = 3072 config.transformer.num_heads = 12 config.transformer.num_layers = 12 config.transformer.attention_dropout_rate = 0.0 config.transformer.dropout_rate = 0.1 config.classifier = 'seg' config.representation_size = None config.resnet_pretrained_path = None config.patch_size = 16 config.decoder_channels = (256, 128, 64, 16) config.n_classes = 2 config.activation = 'softmax' return config def get_testing(): """Returns a minimal configuration for testing.""" config = ml_collections.ConfigDict() config.patches = ml_collections.ConfigDict({'size': (16, 16)}) config.hidden_size = 1 config.transformer = ml_collections.ConfigDict() config.transformer.mlp_dim = 1 config.transformer.num_heads = 1 config.transformer.num_layers = 1 config.transformer.attention_dropout_rate = 0.0 config.transformer.dropout_rate = 0.1 config.classifier = 'token' config.representation_size = None return config def get_r50_b16_config(num_classes=2): """Returns the Resnet50 + ViT-B/16 configuration.""" config = get_b16_config() config.threeD = False config.patches.grid = (16, 16) config.resnet = ml_collections.ConfigDict() config.resnet.num_layers = (3, 4, 9) config.resnet.width_factor = 1 config.classifier = 'seg' config.pretrained_path = '../model/vit_checkpoint/imagenet21k/R50+ViT-B_16.npz' config.decoder_channels = (256, 128, 64, 16) config.skip_channels = [512, 256, 64, 16] config.n_classes = num_classes config.n_skip = 3 config.activation = 'softmax' return config def get_r50_b16_3d_config(num_classes=2): """Returns the Resnet50 + ViT-B/16 configuration.""" config = get_b16_3d_config() config.threeD = True config.patch_size = 16 config.patches.grid = (16, 16, 16) config.resnet = ml_collections.ConfigDict() config.resnet.num_layers = (3, 4, 9) config.resnet.width_factor = 1 config.cin = 1 # number of input channels config.classifier = 'seg' config.pretrained_path = '../model/vit_checkpoint/imagenet21k/R50+ViT-B_16.npz' config.decoder_channels = (256, 128, 64, 16) config.skip_channels = [512, 256, 64, 16] config.n_classes = num_classes config.n_skip = 3 config.activation = 'softmax' return config
33.60396
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3,394
100
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false
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7
614c98c17262c6649ad37f72000264cce80f30ec
907
py
Python
bin/bin_SMHMr/MD04-write-smallFile.py
JohanComparat/nbody-npt-functions
a034db4e5a9b2f87dc42eeb6059c4dd280589e4a
[ "CC0-1.0" ]
4
2017-11-07T02:15:46.000Z
2022-03-03T01:35:53.000Z
bin/bin_SMHMr/MD04-write-smallFile.py
JohanComparat/nbody-npt-functions
a034db4e5a9b2f87dc42eeb6059c4dd280589e4a
[ "CC0-1.0" ]
null
null
null
bin/bin_SMHMr/MD04-write-smallFile.py
JohanComparat/nbody-npt-functions
a034db4e5a9b2f87dc42eeb6059c4dd280589e4a
[ "CC0-1.0" ]
2
2020-08-12T14:26:38.000Z
2021-09-14T06:08:58.000Z
from MultiDark import * import os import numpy as n import glob glob snList = n.array(glob.glob(os.path.join(os.environ["MD04"], "snapshots", "out_*.list"))) print snList box = MultiDarkSimulation(Lbox=400.0 * uu.Mpc, boxDir = "MD_0.4Gpc", snl =snList ,zsl = None, zArray = n.arange(0.2,2.4,1e-1), Hbox = 67.77 * uu.km / (uu.s * uu.Mpc)) t0=time.time() for ii in n.arange(len(box.snl)): box.writeSAMcatalog(ii, mmin=100*box.Melement) print time.time()-t0 sys.exit() snList = n.array(glob.glob(os.path.join(os.environ["MD04"], "snapshots", "hlist_*.list"))) print snList box = MultiDarkSimulation(Lbox=400.0 * uu.Mpc, boxDir = "MD_0.4Gpc", snl =snList ,zsl = None, zArray = n.arange(0.2,2.4,1e-1), Hbox = 67.77 * uu.km / (uu.s * uu.Mpc)) box.columnDict = box.columnDictHlist t0=time.time() for ii in n.arange(len(box.snl)): box.writeSAMcatalog(ii, mmin=100*box.Melement) print time.time()-t0
29.258065
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0.835772
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0.126792
907
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7
6161fc3ecaab95ce57e86289c77d8fe7d76a11e3
86
py
Python
cvax/datasets/__init__.py
toru34/cvax
7829ab84aa53da33c61e2f929fb24b6998148d3e
[ "MIT" ]
null
null
null
cvax/datasets/__init__.py
toru34/cvax
7829ab84aa53da33c61e2f929fb24b6998148d3e
[ "MIT" ]
null
null
null
cvax/datasets/__init__.py
toru34/cvax
7829ab84aa53da33c61e2f929fb24b6998148d3e
[ "MIT" ]
null
null
null
from cvax.datasets.imagenet import ImageNet from cvax.datasets.coco import COCODataset
43
43
0.872093
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6.25
0.583333
0.213333
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true
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0
1
0
1
0
0
7
6166f268ff0fc8e73c9be6610625671f55c41ec2
11,755
py
Python
tests.py
Jenyay/coldata
39033ad2cab1bccb039748f0332307edcb165c9f
[ "MIT" ]
null
null
null
tests.py
Jenyay/coldata
39033ad2cab1bccb039748f0332307edcb165c9f
[ "MIT" ]
null
null
null
tests.py
Jenyay/coldata
39033ad2cab1bccb039748f0332307edcb165c9f
[ "MIT" ]
null
null
null
# -*- coding: utf-8 -*- import os.path import shutil import tempfile import unittest import codecs import coldata class ColdataReaderTest (unittest.TestCase): def testFileEmpty (self): fname = u'testdata/sample_empty.txt' data = coldata.ColdataReader (fname) self.assertEqual (len (data), 0) def testFileNotExists (self): fname = u'testdata/sample_not_exists.txt' self.assertRaises (IOError, coldata.ColdataReader, fname) def testFiles (self): files = [ u'testdata/sample_no_header.txt', u'testdata/sample_rus.txt', u'testdata/sample_comma.txt', u'testdata/sample_invalid_end.txt', u'testdata/sample_length.txt', u'testdata/sample_tabs.txt', ] testColumn1 = [0.0000, -1.1280, 2.3500, -1.2580, -0.3300] testColumn2 = [1.2512, 5.2687, 9.1576, -1.2457, 95.3654] for fname in files: data = coldata.ColdataReader (fname) self.assertEqual (len (data), 2) self.assertEqual (data[0], testColumn1, fname) self.assertEqual (data[1], testColumn2, fname) def testSingleColumn (self): fname = u'testdata/sample_single.txt' data = coldata.ColdataReader (fname) self.assertEqual (len (data), 1) self.assertEqual (data[0], [0.0, 1.128, 2.35, -1.258, -3.33e-1]) def testSkip_01 (self): fname = u'testdata/sample_single.txt' data = coldata.ColdataReader (fname, skiprows=1) self.assertEqual (len (data), 1) self.assertEqual (data[0], [1.128, 2.35, -1.258, -3.33e-1]) def testSkip_02 (self): fname = u'testdata/sample_no_header.txt' data = coldata.ColdataReader (fname, skiprows=1) testColumn1 = [-1.1280, 2.3500, -1.2580, -0.3300] testColumn2 = [5.2687, 9.1576, -1.2457, 95.3654] self.assertEqual (len (data), 2) self.assertEqual (data[0], testColumn1) self.assertEqual (data[1], testColumn2) def testSkip_03 (self): fname = u'testdata/sample_rus.txt' data = coldata.ColdataReader (fname, skiprows=1) testColumn1 = [0.0000, -1.1280, 2.3500, -1.2580, -0.3300] testColumn2 = [1.2512, 5.2687, 9.1576, -1.2457, 95.3654] self.assertEqual (len (data), 2) self.assertEqual (data[0], testColumn1) self.assertEqual (data[1], testColumn2) def testSkip_04 (self): fname = u'testdata/sample_rus.txt' data = coldata.ColdataReader (fname, skiprows=3) testColumn1 = [0.0000, -1.1280, 2.3500, -1.2580, -0.3300] testColumn2 = [1.2512, 5.2687, 9.1576, -1.2457, 95.3654] self.assertEqual (len (data), 2) self.assertEqual (data[0], testColumn1) self.assertEqual (data[1], testColumn2) def testSkip_05 (self): fname = u'testdata/sample_rus.txt' data = coldata.ColdataReader (fname, skiprows=4) testColumn1 = [-1.1280, 2.3500, -1.2580, -0.3300] testColumn2 = [5.2687, 9.1576, -1.2457, 95.3654] self.assertEqual (len (data), 2) self.assertEqual (data[0], testColumn1) self.assertEqual (data[1], testColumn2) def testSkip_06 (self): fname = u'testdata/sample_rus.txt' data = coldata.ColdataReader (fname, skiprows=1000) self.assertEqual (len (data), 0) def testHeader_01 (self): fname = u'testdata/sample_rus.txt' data = coldata.ColdataReader (fname, skiprows=3) header = u'''Пример данных ASCII Значение1 Значение2 -------------------''' self.assertEqual (len (data), 2) self.assertEqual (data.header, header) class ColdataWriterTest (unittest.TestCase): def setUp (self): self._tempDirName = None def tearDown (self): if self._tempDirName is not None: shutil.rmtree (self._tempDirName) def testEmpty (self): writer = coldata.ColdataWriter() result = list (writer.iteritems ([])) self.assertEqual (result, []) def testEmptyHeader_01 (self): header = u'Бла-бла-бла' writer = coldata.ColdataWriter (header=header) result = list (writer.iteritems ([])) self.assertEqual (result, [header]) def testEmptyHeader_02 (self): header = u'Бла-бла-бла' writer = coldata.ColdataWriter () writer.header = header result = list (writer.iteritems ([])) self.assertEqual (result, [header]) def testNone (self): writer = coldata.ColdataWriter() result = list (writer.iteritems (None)) self.assertEqual (result, []) def testNoneHeader_01 (self): header = u'Бла-бла-бла' writer = coldata.ColdataWriter (header=header) result = list (writer.iteritems (None)) self.assertEqual (result, [header]) def testNoneHeader_02 (self): header = u'Бла-бла-бла' writer = coldata.ColdataWriter () writer.header = header result = list (writer.iteritems (None)) self.assertEqual (result, [header]) def testSingle_01 (self): col1 = [0.5] data = [col1] writer = coldata.ColdataWriter () result = list (writer.iteritems (data)) self.assertEqual (result, [u'0.5']) def testSingle_02 (self): col1 = [0.5, -1.0, 0, 1] data = [col1] writer = coldata.ColdataWriter () result = list (writer.iteritems (data)) self.assertEqual (result, [u'0.5', u'-1', u'0', u'1']) def testSingle_header_01 (self): header = u'Бла-бла-бла' col1 = [0.5, -1.0, 0, 1] data = [col1] writer = coldata.ColdataWriter (header=header) result = list (writer.iteritems (data)) self.assertEqual (result, [header, u'0.5', u'-1', u'0', u'1']) def testSingle_header_02 (self): header = u'Бла-бла-бла' col1 = [0.5, -1.0, 0, 1] data = [col1] writer = coldata.ColdataWriter () writer.header = header result = list (writer.iteritems (data)) self.assertEqual (result, [header, u'0.5', u'-1', u'0', u'1']) def testSingle_format_01 (self): col1 = [0.5, -1.0, 0, 1] data = [col1] writer = coldata.ColdataWriter (format=u'{:05.2f}') result = list (writer.iteritems (data)) self.assertEqual (result, [u'00.50', u'-1.00', u'00.00', u'01.00']) def testSingle_format_02 (self): col1 = [0.5, -1.0, 0, 1] data = [col1] writer = coldata.ColdataWriter () writer.format = u'{:05.2f}' result = list (writer.iteritems (data)) self.assertEqual (result, [u'00.50', u'-1.00', u'00.00', u'01.00']) def testColumns_01 (self): col1 = [0.5, -1.0, 0, 1] col2 = [42, 11.5, 20, 20.5] data = [col1, col2] writer = coldata.ColdataWriter () result = list (writer.iteritems (data)) validResult = [ u'0.5\t42', u'-1\t11.5', u'0\t20', u'1\t20.5', ] self.assertEqual (result, validResult) def testColumns_format_01 (self): col1 = [0.5, -1.0, 0, 1] col2 = [42, 11.5, 20, 20.5] data = [col1, col2] writer = coldata.ColdataWriter (format=u'{:g} {:05.2f}') result = list (writer.iteritems (data)) validResult = [ u'0.5 42.00', u'-1 11.50', u'0 20.00', u'1 20.50', ] self.assertEqual (result, validResult) def testColumns_format_02 (self): col1 = [0.5, -1.0, 0, 1] col2 = [42, 11.5, 20, 20.5] data = [col1, col2] writer = coldata.ColdataWriter () writer.format = u'{:g} {:05.2f}' result = list (writer.iteritems (data)) validResult = [ u'0.5 42.00', u'-1 11.50', u'0 20.00', u'1 20.50', ] self.assertEqual (result, validResult) def testColumns_header_01 (self): header = u'Бла-бла-бла' col1 = [0.5, -1.0, 0, 1] col2 = [42, 11.5, 20, 20.5] data = [col1, col2] writer = coldata.ColdataWriter (header=header) result = list (writer.iteritems (data)) validResult = [ header, u'0.5\t42', u'-1\t11.5', u'0\t20', u'1\t20.5', ] self.assertEqual (result, validResult) def testColumns_header_02 (self): header = u'Бла-бла-бла' col1 = [0.5, -1.0, 0, 1] col2 = [42, 11.5, 20, 20.5] data = [col1, col2] writer = coldata.ColdataWriter () writer.header = header result = list (writer.iteritems (data)) validResult = [ header, u'0.5\t42', u'-1\t11.5', u'0\t20', u'1\t20.5', ] self.assertEqual (result, validResult) def testCommonFormat_01 (self): commonFormat = u'{:05.2f}' col1 = [0.5, -1.0, 0, 1] col2 = [42, 11.5, 20, 20.5] data = [col1, col2] writer = coldata.ColdataWriter (commonFormat=commonFormat) result = list (writer.iteritems (data)) validResult = [ u'00.50\t42.00', u'-1.00\t11.50', u'00.00\t20.00', u'01.00\t20.50', ] self.assertEqual (result, validResult) def testCommonFormat_02 (self): commonFormat = u'{:05.2f}' col1 = [0.5, -1.0, 0, 1] col2 = [42, 11.5, 20, 20.5] data = [col1, col2] writer = coldata.ColdataWriter() writer.commonFormat = commonFormat result = list (writer.iteritems (data)) validResult = [ u'00.50\t42.00', u'-1.00\t11.50', u'00.00\t20.00', u'01.00\t20.50', ] self.assertEqual (result, validResult) def testCommonFormat_03_tofile (self): self._tempDirName = tempfile.mkdtemp (prefix=u'coldata_') fname = os.path.join (self._tempDirName, u'write_01.txt') commonFormat = u'{:05.2f}' col1 = [0.5, -1.0, 0, 1] col2 = [42, 11.5, 20, 20.5] data = [col1, col2] writer = coldata.ColdataWriter() writer.commonFormat = commonFormat writer.tofile (data, fname) self.assertTrue (os.path.exists (fname)) with codecs.open (fname, "r", "utf-8") as fp: result = fp.readlines () validResult = [ u'00.50\t42.00\n', u'-1.00\t11.50\n', u'00.00\t20.00\n', u'01.00\t20.50', ] self.assertEqual (result, validResult) def testCommonFormat_04_tofile_header (self): self._tempDirName = tempfile.mkdtemp (prefix=u'coldata_') fname = os.path.join (self._tempDirName, u'write_01.txt') commonFormat = u'{:05.2f}' header = u'Бла-бла-бла' col1 = [0.5, -1.0, 0, 1] col2 = [42, 11.5, 20, 20.5] data = [col1, col2] writer = coldata.ColdataWriter() writer.commonFormat = commonFormat writer.header = header writer.tofile (data, fname) self.assertTrue (os.path.exists (fname)) with codecs.open (fname, "r", "utf-8") as fp: result = fp.readlines () validResult = [ header + u'\n', u'00.50\t42.00\n', u'-1.00\t11.50\n', u'00.00\t20.00\n', u'01.00\t20.50', ] self.assertEqual (result, validResult) if __name__ == '__main__': unittest.main()
26.534989
75
0.544534
1,446
11,755
4.374136
0.094053
0.104348
0.086324
0.075099
0.873834
0.854704
0.839051
0.834308
0.795099
0.766798
0
0.109356
0.310761
11,755
442
76
26.595023
0.671316
0.001786
0
0.711475
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0.098619
0.034862
0
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0.154098
1
0.111475
false
0
0.019672
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0
0
0
0
0
0
7
6176cd3696d601a9c27f8612bc1f925094b960f8
4,277
py
Python
python/smooth.py
LukeMcCulloch/QuantumFluidsOfLight
46db899d890e311c52a17524a21a4528e0db14d4
[ "MIT" ]
null
null
null
python/smooth.py
LukeMcCulloch/QuantumFluidsOfLight
46db899d890e311c52a17524a21a4528e0db14d4
[ "MIT" ]
null
null
null
python/smooth.py
LukeMcCulloch/QuantumFluidsOfLight
46db899d890e311c52a17524a21a4528e0db14d4
[ "MIT" ]
null
null
null
#!/usr/bin/env python2 # -*- coding: utf-8 -*- """ Created on Tue Apr 23 21:31:08 2019 @author: lukemcculloch """ # File: smooth.py: problem-dependent 2D utilities. import numpy as np def get_lhs(u,h2): """ Return discretized operator L(u). h2=h**2 for spacing h. """ w = np.zeros_like(u) w[1:-1,1:-1] = ( u[0:-2,1:-1]+u[2: , 1:-1] + u[1:-1,0:-2]+u[1:-1,2:] - 4.*u[1:-1,1:-1])/h2 +u[1:-1,1:-1]*u[1:-1,1:-1] return w def gs_rb_step(v,f,h2): """ Carry out single Gauss-Seidel iteration step on v. f is source term, h2 is square of grid spacing. """ u = v.copy() res = np.empty_like(v) res[1:-1:2,1:-1:2]=(u[0:-2:2,1:-1:2]+u[2: :2,1:-1:2]+ u[1:-1:2,0:-2:2]+u[1:-1:2,2: :2]- 4*u[1:-1:2,1:-1:2])/h2 +\ u[1:-1:2,1:-1:2]**2-f[1:-1:2,1:-1:2] u[1:-1:2,1:-1:2]-=res[1:-1:2,1:-1:2]/( -4.0/h2+2*u[1:-1:2,1:-1:2]) res[2:-2:2,2:-2:2]=(u[1:-3:2,2:-2:2]+u[3:-1:2,2:-2:2]+ u[2:-2:2,1:-3:2]+u[2:-2:2,3:-1:2]- 4*u[2:-2:2,2:-2:2])/h2 +\ u[2:-2:2,2:-2:2]**2-f[2:-2:2,2:-2:2] u[2:-2:2,2:-2:2]-=res[2:-2:2,2:-2:2]/( -4.0/h2+2*u[2:-2:2,2:-2:2]) res[2:-2:2,1:-1:2]=(u[1:-3:2,1:-1:2]+u[3:-1:2,1:-1:2]+ u[2:-2:2,0:-2:2]+u[2:-2:2,2: :2]- 4*u[2:-2:2,1:-1:2])/h2 +\ u[2:-2:2,1:-1:2]**2-f[2:-2:2,1:-1:2] u[2:-2:2,1:-1:2]-=res[2:-2:2,1:-1:2]/( -4.0/h2+2*u[2:-2:2,1:-1:2]) res[1:-1:2,2:-2:2]=(u[0:-2:2,2:-2:2]+u[2: :2,2:-2:2]+ u[1:-1:2,1:-3:2]+u[1:-1:2,3:-1:2]- 4*u[1:-1:2,2:-2:2])/h2 +\ u[1:-1:2,2:-2:2]**2-f[1:-1:2,2:-2:2] u[1:-1:2,2:-2:2]-=res[1:-1:2,2:-2:2]/( -4.0/h2+2*u[1:-1:2,2:-2:2]) return u def get_lhs(u,h2): """ Return discretized operator L(u). h2=h**2 for spacing h. """ w=np.zeros_like(u) w[1:-1,1:-1]=( u[0:-2,1:-1] + u[2: ,1:-1]+ u[1:-1,0:-2]+u[1:-1,2: ]- 4*u[1:-1,1:-1])/h2 + u[1:-1,1:-1]**2 return w def gs_rb_step(v,f,h2): """ Carry out single Gauss-Seidel iteration step on v.f is source term, h2 is square of grid spacing.""" u=v.copy() res=np.empty_like(v) res[1:-1:2,1:-1:2]=( u[0:-2:2,1:-1:2] + u[2: :2,1:-1:2] + u[1:-1:2,0:-2:2] + u[1:-1:2,2: :2] - 4*u[1:-1:2,1:-1:2] ) / h2 + \ u[1:-1:2,1:-1:2]**2 - f[1:-1:2,1:-1:2] u[1:-1:2,1:-1:2] -= res[1:-1:2,1:-1:2] / ( -4.0/h2+2*u[1:-1:2,1:-1:2]) res[2:-2:2,2:-2:2] = (u[1:-3:2,2:-2:2] + u[3:-1:2,2:-2:2] + u[2:-2:2,1:-3:2]+u[2:-2:2,3:-1:2] - 4*u[2:-2:2,2:-2:2])/h2 +\ u[2:-2:2,2:-2:2]**2 - f[2:-2:2,2:-2:2] u[2:-2:2,2:-2:2] -= res[2:-2:2,2:-2:2] / ( -4.0/h2+2*u[2:-2:2,2:-2:2]) res[2:-2:2,1:-1:2]=(u[1:-3:2,1:-1:2]+u[3:-1:2,1:-1:2]+ u[2:-2:2,0:-2:2]+u[2:-2:2,2: :2]- 4*u[2:-2:2,1:-1:2])/h2 +\ u[2:-2:2,1:-1:2]**2-f[2:-2:2,1:-1:2] u[2:-2:2,1:-1:2]-=res[2:-2:2,1:-1:2]/( -4.0/h2+2*u[2:-2:2,1:-1:2]) res[1:-1:2,2:-2:2]=(u[0:-2:2,2:-2:2]+u[2: :2,2:-2:2]+ u[1:-1:2,1:-3:2]+u[1:-1:2,3:-1:2]- 4*u[1:-1:2,2:-2:2])/h2 +\ u[1:-1:2,2:-2:2]**2-f[1:-1:2,2:-2:2] u[1:-1:2,2:-2:2]-=res[1:-1:2,2:-2:2]/( -4.0/h2+2*u[1:-1:2,2:-2:2]) return u def solve(rhs): """ Return exact solution on the coarsest 3x3 grid. """ h=0.5 u=np.zeros_like(rhs) fac=2.0/h**2 dis=np.sqrt(fac**2+rhs[1,1]) u[1,1]=-rhs[1,1]/(fac+dis) return u
32.157895
68
0.334113
929
4,277
1.526372
0.086114
0.293371
0.287729
0.214386
0.835684
0.828632
0.828632
0.828632
0.828632
0.828632
0
0.251208
0.370821
4,277
133
69
32.157895
0.275734
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0.8125
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0.0625
false
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13
6179985cb1cf5635c9c2d60a86deb2186bea79b5
23,853
py
Python
django/bosscore/test/test_group_views.py
ArnaudGallardo/boss
c0d3bbca31575ac5442822b8d7f962def32d9072
[ "Apache-2.0" ]
20
2016-05-16T21:08:13.000Z
2021-11-16T11:50:19.000Z
django/bosscore/test/test_group_views.py
ArnaudGallardo/boss
c0d3bbca31575ac5442822b8d7f962def32d9072
[ "Apache-2.0" ]
31
2016-10-28T17:51:11.000Z
2022-02-10T08:07:31.000Z
django/bosscore/test/test_group_views.py
ArnaudGallardo/boss
c0d3bbca31575ac5442822b8d7f962def32d9072
[ "Apache-2.0" ]
12
2016-10-28T17:47:01.000Z
2021-05-18T23:47:06.000Z
# Copyright 2016 The Johns Hopkins University Applied Physics Laboratory # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. import json from rest_framework.test import APITestCase from django.conf import settings from .setup_db import SetupTestDB from ..constants import PUBLIC_GRP, ADMIN_GRP, ADMIN_USER version = settings.BOSS_VERSION class GroupsTests(APITestCase): """ Class to test the manage-data service """ def setUp(self): """ Initialize the database :return: """ dbsetup = SetupTestDB() user = dbsetup.create_user('testuser') dbsetup.add_role("resource-manager") dbsetup.create_group('unittest') dbsetup.set_user(user) self.client.force_login(user) dbsetup.insert_test_data() def test_get_groups(self): """ Get all groups for a user""" # get a group url = '/' + version + '/groups/' response = self.client.get(url) self.assertEqual(response.status_code, 200) self.assertEqual(set(response.data['groups']), set([PUBLIC_GRP, 'testuser-primary', 'unittest'])) def test_get_groups_groupname(self): """ Get all groups for a user""" url = '/' + version + '/permissions/' data = { 'group': 'unittest', 'collection': 'col1', 'permissions': ['read', 'add', 'update'] } response = self.client.post(url, data=data) self.assertEqual(response.status_code, 201) url = '/' + version + '/permissions/' data = { 'group': 'unittest', 'collection': 'col1', 'experiment': 'exp1', 'permissions': ['read', 'add', 'update'] } response = self.client.post(url, data=data) self.assertEqual(response.status_code, 201) url = '/' + version + '/permissions/' data = { 'group': 'unittest', 'collection': 'col1', 'experiment': 'exp1', 'channel': 'channel1', 'permissions': ['read', 'add', 'update'] } response = self.client.post(url, data=data) self.assertEqual(response.status_code, 201) # get a group url = '/' + version + '/groups/unittest' response = self.client.get(url) resources = response.data['resources'] self.assertEqual(len(resources), 3) self.assertEqual(response.status_code, 200) def test_get_groups_groupname_no_resources(self): """ Get all groups for a user""" # get a group url = '/' + version + '/groups/unittest' response = self.client.get(url) resources = response.data['resources'] self.assertEqual(len(resources), 0) self.assertEqual(response.status_code, 200) def test_get_groups_filter_members(self): """ Get all groups for a user is a member of """ # get a group url = '/' + version + '/groups/?filter=member' response = self.client.get(url) self.assertEqual(response.status_code, 200) self.assertEqual(set(response.data['groups']), set([PUBLIC_GRP, 'testuser-primary', 'unittest'])) def test_get_groups_filter_maintainers(self): """ Get all groups for a user is a member of """ # get a group url = '/' + version + '/groups/?filter=maintainer' response = self.client.get(url) self.assertEqual(response.status_code, 200) self.assertEqual(set(response.data['groups']), set(['unittest'])) def test_post_groups(self): """ Post new group """ # post a group url = '/' + version + '/groups/pjm55' response = self.client.post(url) self.assertEqual(response.status_code, 201) # get the group url = '/' + version + '/groups/?filter=maintainer' response = self.client.get(url) self.assertEqual(response.status_code, 200) self.assertEqual(set(response.data['groups']), set(['pjm55', 'unittest'])) def test_delete_groups(self): """ Post new group """ # post a group url = '/' + version + '/groups/pjm55' response = self.client.post(url) self.assertEqual(response.status_code, 201) # delete a group url = '/' + version + '/groups/pjm55' response = self.client.delete(url) self.assertEqual(response.status_code, 204) class GroupMemberTests(APITestCase): """ Class to test gropup member views """ def setUp(self): """ Initialize the database :return: """ dbsetup = SetupTestDB() self.user1 = dbsetup.create_user('testuser2555') dbsetup.set_user(self.user1) dbsetup.create_group('unittest2555') self.user2 = dbsetup.create_user('testuser') dbsetup.add_role("resource-manager") dbsetup.create_group('unittest') dbsetup.set_user(self.user2) self.client.force_login(self.user2) dbsetup.insert_test_data() def test_get_members(self): """ Get all members of a group""" # get a group url = '/' + version + '/groups/unittest/members' response = self.client.get(url) self.assertEqual(response.status_code, 200) self.assertEqual(set(response.data['members']), set(['testuser'])) def test_get_members_no_permission(self): """ Get all members of a group""" # get a group url = '/' + version + '/groups/unittest2555/members' response = self.client.get(url) self.assertEqual(response.status_code, 403) def test_get_members_username(self): """ Get all members of a group""" # List all members of the group url = '/' + version + '/groups/unittest/members' response = self.client.get(url) self.assertEqual(response.status_code, 200) self.assertEqual(len(response.data['members']), 1) # get a group url = '/' + version + '/groups/unittest/members/testuser' response = self.client.get(url) self.assertEqual(response.status_code, 200) self.assertEqual(response.data['result'], True) # get a group url = '/' + version + '/groups/unittest/members/testuser2555' response = self.client.get(url) self.assertEqual(response.status_code, 200) self.assertEqual(response.data['result'], False) def test_add_member_group(self): """ Add a new member to a group. """ # Check if user is a member of the group url = '/' + version + '/groups/unittest/members/testuser2555/' response = self.client.get(url) self.assertEqual(response.status_code, 200) self.assertEqual(response.data['result'], False) # Add user to the group url = '/' + version + '/groups/unittest/members/testuser2555/' response = self.client.post(url) self.assertEqual(response.status_code, 204) # Check if user is a member of the group url = '/' + version + '/groups/unittest/members/testuser2555/' response = self.client.get(url) self.assertEqual(response.status_code, 200) self.assertEqual(response.data['result'], True) # List all members of the group url = '/' + version + '/groups/unittest/members' response = self.client.get(url) self.assertEqual(response.status_code, 200) self.assertEqual(len(response.data['members']), 2) def test_add_member_invalid(self): """ Add a new member to admin or public group. This is invalid """ # Add user to the group url = '/' + version + '/groups/' + ADMIN_GRP + '/members/testuser2555/' response = self.client.post(url) self.assertEqual(response.status_code, 400) # Add user to the group url = '/' + version + '/groups/' + PUBLIC_GRP + '/members/testuser2555/' response = self.client.post(url) self.assertEqual(response.status_code, 400) def test_remove_member_invalid(self): """ Remove a new member to admin or public group. This is invalid """ # Add user to the group url = '/' + version + '/groups/' + ADMIN_GRP + '/members/testuser2555/' response = self.client.delete(url) self.assertEqual(response.status_code, 400) # Add user to the group url = '/' + version + '/groups/' + PUBLIC_GRP + '/members/testuser2555/' response = self.client.delete(url) self.assertEqual(response.status_code, 400) def test_remove_member_group(self): """ Remove a member from the group. """ # Add user to the group url = '/' + version + '/groups/unittest/members/testuser2555/' response = self.client.post(url) self.assertEqual(response.status_code, 204) # Check if user is a member of the group url = '/' + version + '/groups/unittest/members/testuser2555/' response = self.client.get(url) self.assertEqual(response.status_code, 200) self.assertEqual(response.data['result'], True) # Remove user from the group url = '/' + version + '/groups/unittest/members/testuser2555/' response = self.client.delete(url) self.assertEqual(response.status_code, 204) # Check if user is a member of the group url = '/' + version + '/groups/unittest/members/testuser2555/' response = self.client.get(url) self.assertEqual(response.status_code, 200) self.assertEqual(response.data['result'], False) def test_remove_bossadmin_member_invalid(self): # Add user to the group url = '/' + version + '/groups/unittest/members/' + ADMIN_USER + '/' response = self.client.post(url) self.assertEqual(response.status_code, 204) """ Remove bossadmin member from a group. This is invalid""" # Check if user is a member of the group url = '/' + version + '/groups/unittest/members/' + ADMIN_USER + '/' response = self.client.get(url) self.assertEqual(response.status_code, 200) self.assertEqual(response.data['result'], True) # Remove user from the group url = '/' + version + '/groups/unittest/members/' + ADMIN_USER + '/' response = self.client.delete(url) self.assertEqual(response.status_code, 400) def test_group_member_invalid_group(self): """ Test group-memeber api calls with a group that does not exist """ # get a group url = '/' + version + '/groups/eeeeee/members' response = self.client.get(url) self.assertEqual(response.status_code, 404) # Post with invalid groups url = '/' + version + '/groups/eeeeee/members/testuser/' response = self.client.post(url) self.assertEqual(response.status_code, 404) # delete with invalid groups url = '/' + version + '/groups/eeeeee/members/testuser/' response = self.client.delete(url) self.assertEqual(response.status_code, 404) def test_group_member_invalid_user(self): """ Test group member api calls with a user that does not exist """ # Get with invalid user url = '/' + version + '/groups/unittest/members/testusereee/' response = self.client.get(url) self.assertEqual(response.status_code, 404) # Post with invalid user url = '/' + version + '/groups/unittest/members/testusereee/' response = self.client.get(url) self.assertEqual(response.status_code, 404) # delete with invalid user url = '/' + version + '/groups/unittest/members/testusereee/' response = self.client.delete(url) self.assertEqual(response.status_code, 404) def test_group_member_missing_permission(self): """ Test group member api calls with a user that does not exist """ # Post with invalid user url = '/' + version + '/groups/unittest2555/members/testuser/' response = self.client.post(url) self.assertEqual(response.status_code, 403) # delete with invalid user url = '/' + version + '/groups/unittest2555/members/testuser/' response = self.client.delete(url) self.assertEqual(response.status_code, 403) def test_get_members_permission(self): """ Test that group maintainers can query the list of members""" self.client.force_login(self.user1) # get a group url = '/' + version + '/groups/unittest/members' response = self.client.get(url) self.assertEqual(response.status_code, 403) self.client.force_login(self.user2) # # # Add user1 to the group maintainer url = '/' + version + '/groups/unittest/maintainers/testuser2555/' response = self.client.post(url) self.assertEqual(response.status_code, 204) # get a group url = '/' + version + '/groups/unittest/members' response = self.client.get(url) self.assertEqual(response.status_code, 200) self.assertEqual(set(response.data['members']), set(['testuser'])) def test_get_members_permission_for_group_member(self): """ Test that group members can query the list of maintainers""" self.client.force_login(self.user1) # get a group url = '/' + version + '/groups/unittest/members' response = self.client.get(url) self.assertEqual(response.status_code, 403) self.client.force_login(self.user2) # # # Add user1 to the group url = '/' + version + '/groups/unittest/members/testuser2555/' response = self.client.post(url) self.assertEqual(response.status_code, 204) # get a group url = '/' + version + '/groups/unittest/members' response = self.client.get(url) self.assertEqual(response.status_code, 200) self.assertEqual(set(response.data['members']), set(['testuser','testuser2555'])) class GroupMaintainerTests(APITestCase): """ Class to test group maintainer views """ def setUp(self): """ Initialize the database :return: """ dbsetup = SetupTestDB() self.user1 = dbsetup.create_user('testuser2555') dbsetup.set_user(self.user1) dbsetup.create_group('unittest2555') self.user2 = dbsetup.create_user('testuser') dbsetup.add_role("resource-manager") dbsetup.create_group('unittest') dbsetup.set_user(self.user2) self.client.force_login(self.user2) dbsetup.insert_test_data() def test_get_maintainers(self): """ Get all members of a group""" # get a group url = '/' + version + '/groups/unittest/maintainers' response = self.client.get(url) self.assertEqual(response.status_code, 200) self.assertEqual(set(response.data['maintainers']), set(['testuser'])) def test_get_maintainers_no_permissions(self): """ Get all maintainers of a group without permissions""" # get a group url = '/' + version + '/groups/unittest2555/maintainers' response = self.client.get(url) self.assertEqual(response.status_code, 403) def test_get_maintainers_username(self): """ Get all members of a group""" # get a group url = '/' + version + '/groups/unittest/maintainers/testuser' response = self.client.get(url) self.assertEqual(response.status_code, 200) self.assertEqual(response.data['result'], True) # get a group url = '/' + version + '/groups/unittest/maintainers/testuser2555/' response = self.client.get(url) self.assertEqual(response.status_code, 200) self.assertEqual(response.data['result'], False) def test_add_maintainer_invalid(self): """ Add a new member to a group. """ # Add maintainer to the group url = '/' + version + '/groups/unittest/maintainers/' response = self.client.post(url) self.assertEqual(response.status_code, 400) def test_add_maintainer_group(self): """ Add a new member to a group. """ # Check if user is a maintainer of the group url = '/' + version + '/groups/unittest/maintainers/testuser2555/' response = self.client.get(url) self.assertEqual(response.status_code, 200) self.assertEqual(response.data['result'], False) # Add user to the group url = '/' + version + '/groups/unittest/maintainers/testuser2555/' response = self.client.post(url) self.assertEqual(response.status_code, 204) # get a group url = '/' + version + '/groups/unittest/maintainers' response = self.client.get(url) self.assertEqual(response.status_code, 200) # Check if user is a member of the group url = '/' + version + '/groups/unittest/maintainers/testuser2555/' response = self.client.get(url) self.assertEqual(response.status_code, 200) self.assertEqual(response.data['result'], True) # List all members of the group url = '/' + version + '/groups/unittest/maintainers' response = self.client.get(url) self.assertEqual(response.status_code, 200) self.assertEqual(len(response.data['maintainers']), 2) def test_remove_maintainer_group(self): """ Remove a maintainer from the group. """ # Add maintainer to the group url = '/' + version + '/groups/unittest/maintainers/testuser2555/' response = self.client.post(url) self.assertEqual(response.status_code, 204) # Check if user is a member of the group url = '/' + version + '/groups/unittest/maintainers/testuser2555/' response = self.client.get(url) self.assertEqual(response.status_code, 200) self.assertEqual(response.data['result'], True) # List all members of the group url = '/' + version + '/groups/unittest/maintainers' response = self.client.get(url) self.assertEqual(response.status_code, 200) # Remove user from the group url = '/' + version + '/groups/unittest/maintainers/testuser2555/' response = self.client.delete(url) self.assertEqual(response.status_code, 204) # Check if user is a member of the group url = '/' + version + '/groups/unittest/maintainers/testuser2555/' response = self.client.get(url) self.assertEqual(response.status_code, 200) self.assertEqual(response.data['result'], False) # List all members of the group url = '/' + version + '/groups/unittest/maintainers' response = self.client.get(url) self.assertEqual(response.status_code, 200) self.assertIn('testuser', response.data['maintainers']) def test_remove_bossadmin_maintainer_group_fails(self): """ Test removal of bossadmin as a maintainer of a group fails""" # Check if bossadmin user is a member of the group url = '/' + version + '/groups/unittest/maintainers/' + ADMIN_USER + '/' response = self.client.get(url) self.assertEqual(response.status_code, 200) self.assertEqual(response.data['result'], True) # Attempt removal of bossadmin from the group url = '/' + version + '/groups/unittest/maintainers/' + ADMIN_USER + '/' response = self.client.delete(url) self.assertEqual(response.status_code, 400) def test_group_maintainer_invalid_group(self): """ Test group-maintainer api calls with a group that does not exist """ # get a group url = '/' + version + '/groups/eeeeee/maintainers' response = self.client.get(url) self.assertEqual(response.status_code, 404) # Post with invalid groups url = '/' + version + '/groups/eeeeee/maintainers/testuser/' response = self.client.post(url) self.assertEqual(response.status_code, 404) # delete with invalid groups url = '/' + version + '/groups/eeeeee/maintainers/testuser/' response = self.client.delete(url) self.assertEqual(response.status_code, 404) def test_group_member_invalid_user(self): """ Test group member api calls with a user that does not exist """ # Get with invalid user url = '/' + version + '/groups/unittest/maintainers/testusereee/' response = self.client.get(url) self.assertEqual(response.status_code, 404) # Post with invalid user url = '/' + version + '/groups/unittest/maintainers/testusereee/' response = self.client.get(url) self.assertEqual(response.status_code, 404) # delete with invalid user url = '/' + version + '/groups/unittest/maintainers/testusereee/' response = self.client.delete(url) self.assertEqual(response.status_code, 404) def test_group_member_missing_permission(self): """ Test group member api calls with a user that does not exist """ # Post with invalid user url = '/' + version + '/groups/unittest2555/maintainers/testuser/' response = self.client.post(url) self.assertEqual(response.status_code, 403) # delete with invalid user url = '/' + version + '/groups/unittest2555/maintainers/testuser/' response = self.client.delete(url) self.assertEqual(response.status_code, 403) def test_get_maintainers_permission(self): """ Test that group maintainers can query the list of maintainers""" self.client.force_login(self.user1) # get a group url = '/' + version + '/groups/unittest/maintainers' response = self.client.get(url) self.assertEqual(response.status_code, 403) self.client.force_login(self.user2) # # # Add user1 to the group maintainer url = '/' + version + '/groups/unittest/maintainers/testuser2555/' response = self.client.post(url) self.assertEqual(response.status_code, 204) # get a group url = '/' + version + '/groups/unittest/maintainers' response = self.client.get(url) self.assertEqual(response.status_code, 200) self.assertEqual(set(response.data['maintainers']), set(['testuser','testuser2555'])) def test_get_maintainers_permission_for_group_member(self): """ Test that group members can query the list of maintainers""" self.client.force_login(self.user1) # get a group url = '/' + version + '/groups/unittest/maintainers' response = self.client.get(url) self.assertEqual(response.status_code, 403) self.client.force_login(self.user2) # # # Add user1 to the group maintainer url = '/' + version + '/groups/unittest/members/testuser2555/' response = self.client.post(url) self.assertEqual(response.status_code, 204) # get a group url = '/' + version + '/groups/unittest/maintainers' response = self.client.get(url) self.assertEqual(response.status_code, 200) self.assertEqual(set(response.data['maintainers']), set(['testuser']))
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6181ee8c05670a6d74c20cc7786aea964f715d1b
88,715
py
Python
services/core/src/oci_cli_compute_management/generated/computemanagement_cli.py
honzajavorek/oci-cli
6ea058afba323c6b3b70e98212ffaebb0d31985e
[ "Apache-2.0" ]
null
null
null
services/core/src/oci_cli_compute_management/generated/computemanagement_cli.py
honzajavorek/oci-cli
6ea058afba323c6b3b70e98212ffaebb0d31985e
[ "Apache-2.0" ]
null
null
null
services/core/src/oci_cli_compute_management/generated/computemanagement_cli.py
honzajavorek/oci-cli
6ea058afba323c6b3b70e98212ffaebb0d31985e
[ "Apache-2.0" ]
null
null
null
# coding: utf-8 # Copyright (c) 2016, 2019, Oracle and/or its affiliates. All rights reserved. from __future__ import print_function import click import oci # noqa: F401 import six # noqa: F401 import sys # noqa: F401 from oci_cli import cli_constants # noqa: F401 from oci_cli import cli_util from oci_cli import json_skeleton_utils from oci_cli import custom_types # noqa: F401 from oci_cli.aliasing import CommandGroupWithAlias from services.core.src.oci_cli_core.generated import core_service_cli @click.command(cli_util.override('compute_management_root_group.command_name', 'compute-management'), cls=CommandGroupWithAlias, help=cli_util.override('compute_management_root_group.help', """API covering the [Networking](/iaas/Content/Network/Concepts/overview.htm), [Compute](/iaas/Content/Compute/Concepts/computeoverview.htm), and [Block Volume](/iaas/Content/Block/Concepts/overview.htm) services. Use this API to manage resources such as virtual cloud networks (VCNs), compute instances, and block storage volumes. """), short_help=cli_util.override('compute_management_root_group.short_help', """Core Services API""")) @cli_util.help_option_group def compute_management_root_group(): pass @click.command(cli_util.override('instance_pool_group.command_name', 'instance-pool'), cls=CommandGroupWithAlias, help="""An instance pool is a group of instances within the same region that are created based off of the same instance configuration. For more information about instance pools and instance configurations, see [Managing Compute Instances].""") @cli_util.help_option_group def instance_pool_group(): pass @click.command(cli_util.override('instance_group.command_name', 'instance'), cls=CommandGroupWithAlias, help="""A compute host. The image used to launch the instance determines its operating system and other software. The shape specified during the launch process determines the number of CPUs and memory allocated to the instance. For more information, see [Overview of the Compute Service]. To use any of the API operations, you must be authorized in an IAM policy. If you're not authorized, talk to an administrator. If you're an administrator who needs to write policies to give users access, see [Getting Started with Policies]. **Warning:** Oracle recommends that you avoid using any confidential information when you supply string values using the API.""") @cli_util.help_option_group def instance_group(): pass @click.command(cli_util.override('instance_configuration_group.command_name', 'instance-configuration'), cls=CommandGroupWithAlias, help="""An instance configuration is a template that defines the settings to use when creating Compute instances. For more information about instance configurations, see [Managing Compute Instances].""") @cli_util.help_option_group def instance_configuration_group(): pass @click.command(cli_util.override('instance_pool_load_balancer_attachment_group.command_name', 'instance-pool-load-balancer-attachment'), cls=CommandGroupWithAlias, help="""Represents a load balancer that is attached to an instance pool.""") @cli_util.help_option_group def instance_pool_load_balancer_attachment_group(): pass core_service_cli.core_service_group.add_command(compute_management_root_group) compute_management_root_group.add_command(instance_pool_group) compute_management_root_group.add_command(instance_group) compute_management_root_group.add_command(instance_configuration_group) compute_management_root_group.add_command(instance_pool_load_balancer_attachment_group) @instance_pool_group.command(name=cli_util.override('attach_load_balancer.command_name', 'attach'), help=u"""Attach a load balancer to the instance pool.""") @cli_util.option('--instance-pool-id', required=True, help=u"""The OCID of the instance pool.""") @cli_util.option('--load-balancer-id', required=True, help=u"""The OCID of the load balancer to attach to the instance pool.""") @cli_util.option('--backend-set-name', required=True, help=u"""The name of the backend set on the load balancer to add instances to.""") @cli_util.option('--port', required=True, type=click.INT, help=u"""The port value to use when creating the backend set.""") @cli_util.option('--vnic-selection', required=True, help=u"""Indicates which VNIC on each instance in the pool should be used to associate with the load balancer. Possible values are \"PrimaryVnic\" or the displayName of one of the secondary VNICs on the instance configuration that is associated with the instance pool.""") @cli_util.option('--if-match', help=u"""For optimistic concurrency control. In the PUT or DELETE call for a resource, set the `if-match` parameter to the value of the etag from a previous GET or POST response for that resource. The resource will be updated or deleted only if the etag you provide matches the resource's current etag value.""") @cli_util.option('--wait-for-state', type=custom_types.CliCaseInsensitiveChoice(["PROVISIONING", "SCALING", "STARTING", "STOPPING", "TERMINATING", "STOPPED", "TERMINATED", "RUNNING"]), help="""This operation creates, modifies or deletes a resource that has a defined lifecycle state. Specify this option to perform the action and then wait until the resource reaches a given lifecycle state. If timeout is reached, a return code of 2 is returned. For any other error, a return code of 1 is returned.""") @cli_util.option('--max-wait-seconds', type=click.INT, help="""The maximum time to wait for the resource to reach the lifecycle state defined by --wait-for-state. Defaults to 1200 seconds.""") @cli_util.option('--wait-interval-seconds', type=click.INT, help="""Check every --wait-interval-seconds to see whether the resource to see if it has reached the lifecycle state defined by --wait-for-state. Defaults to 30 seconds.""") @json_skeleton_utils.get_cli_json_input_option({}) @cli_util.help_option @click.pass_context @json_skeleton_utils.json_skeleton_generation_handler(input_params_to_complex_types={}, output_type={'module': 'core', 'class': 'InstancePool'}) @cli_util.wrap_exceptions def attach_load_balancer(ctx, from_json, wait_for_state, max_wait_seconds, wait_interval_seconds, instance_pool_id, load_balancer_id, backend_set_name, port, vnic_selection, if_match): if isinstance(instance_pool_id, six.string_types) and len(instance_pool_id.strip()) == 0: raise click.UsageError('Parameter --instance-pool-id cannot be whitespace or empty string') kwargs = {} if if_match is not None: kwargs['if_match'] = if_match details = {} details['loadBalancerId'] = load_balancer_id details['backendSetName'] = backend_set_name details['port'] = port details['vnicSelection'] = vnic_selection client = cli_util.build_client('compute_management', ctx) result = client.attach_load_balancer( instance_pool_id=instance_pool_id, attach_load_balancer_details=details, **kwargs ) if wait_for_state: if hasattr(client, 'get_instance_pool') and callable(getattr(client, 'get_instance_pool')): try: wait_period_kwargs = {} if max_wait_seconds is not None: wait_period_kwargs['max_wait_seconds'] = max_wait_seconds if wait_interval_seconds is not None: wait_period_kwargs['max_interval_seconds'] = wait_interval_seconds click.echo('Action completed. Waiting until the resource has entered state: {}'.format(wait_for_state), file=sys.stderr) result = oci.wait_until(client, client.get_instance_pool(result.data.id), 'lifecycle_state', wait_for_state, **wait_period_kwargs) except oci.exceptions.MaximumWaitTimeExceeded as e: # If we fail, we should show an error, but we should still provide the information to the customer click.echo('Failed to wait until the resource entered the specified state. Outputting last known resource state', file=sys.stderr) cli_util.render_response(result, ctx) sys.exit(2) except Exception: click.echo('Encountered error while waiting for resource to enter the specified state. Outputting last known resource state', file=sys.stderr) cli_util.render_response(result, ctx) raise else: click.echo('Unable to wait for the resource to enter the specified state', file=sys.stderr) cli_util.render_response(result, ctx) @instance_configuration_group.command(name=cli_util.override('change_instance_configuration_compartment.command_name', 'change-compartment'), help=u"""Moves an instance configuration into a different compartment within the same tenancy. For information about moving resources between compartments, see [Moving Resources to a Different Compartment]. When you move an instance configuration to a different compartment, associated resources such as instance pools are not moved. **Important:** Most of the properties for an existing instance configuration, including the compartment, cannot be modified after you create the instance configuration. Although you can move an instance configuration to a different compartment, you will not be able to use the instance configuration to manage instance pools in the new compartment. If you want to update an instance configuration to point to a different compartment, you should instead create a new instance configuration in the target compartment using [CreateInstanceConfiguration].""") @cli_util.option('--instance-configuration-id', required=True, help=u"""The OCID of the instance configuration.""") @cli_util.option('--compartment-id', required=True, help=u"""The [OCID] of the compartment to move the instance configuration to.""") @cli_util.option('--if-match', help=u"""For optimistic concurrency control. In the PUT or DELETE call for a resource, set the `if-match` parameter to the value of the etag from a previous GET or POST response for that resource. The resource will be updated or deleted only if the etag you provide matches the resource's current etag value.""") @json_skeleton_utils.get_cli_json_input_option({}) @cli_util.help_option @click.pass_context @json_skeleton_utils.json_skeleton_generation_handler(input_params_to_complex_types={}) @cli_util.wrap_exceptions def change_instance_configuration_compartment(ctx, from_json, instance_configuration_id, compartment_id, if_match): if isinstance(instance_configuration_id, six.string_types) and len(instance_configuration_id.strip()) == 0: raise click.UsageError('Parameter --instance-configuration-id cannot be whitespace or empty string') kwargs = {} if if_match is not None: kwargs['if_match'] = if_match kwargs['opc_request_id'] = cli_util.use_or_generate_request_id(ctx.obj['request_id']) details = {} details['compartmentId'] = compartment_id client = cli_util.build_client('compute_management', ctx) result = client.change_instance_configuration_compartment( instance_configuration_id=instance_configuration_id, change_instance_configuration_compartment_details=details, **kwargs ) cli_util.render_response(result, ctx) @instance_pool_group.command(name=cli_util.override('change_instance_pool_compartment.command_name', 'change-compartment'), help=u"""Moves an instance pool into a different compartment within the same tenancy. For information about moving resources between compartments, see [Moving Resources to a Different Compartment]. When you move an instance pool to a different compartment, associated resources such as the instances in the pool, boot volumes, VNICs, and autoscaling configurations are not moved.""") @cli_util.option('--instance-pool-id', required=True, help=u"""The OCID of the instance pool.""") @cli_util.option('--compartment-id', required=True, help=u"""The [OCID] of the compartment to move the instance pool to.""") @cli_util.option('--if-match', help=u"""For optimistic concurrency control. In the PUT or DELETE call for a resource, set the `if-match` parameter to the value of the etag from a previous GET or POST response for that resource. The resource will be updated or deleted only if the etag you provide matches the resource's current etag value.""") @json_skeleton_utils.get_cli_json_input_option({}) @cli_util.help_option @click.pass_context @json_skeleton_utils.json_skeleton_generation_handler(input_params_to_complex_types={}) @cli_util.wrap_exceptions def change_instance_pool_compartment(ctx, from_json, instance_pool_id, compartment_id, if_match): if isinstance(instance_pool_id, six.string_types) and len(instance_pool_id.strip()) == 0: raise click.UsageError('Parameter --instance-pool-id cannot be whitespace or empty string') kwargs = {} if if_match is not None: kwargs['if_match'] = if_match kwargs['opc_request_id'] = cli_util.use_or_generate_request_id(ctx.obj['request_id']) details = {} details['compartmentId'] = compartment_id client = cli_util.build_client('compute_management', ctx) result = client.change_instance_pool_compartment( instance_pool_id=instance_pool_id, change_instance_pool_compartment_details=details, **kwargs ) cli_util.render_response(result, ctx) @instance_configuration_group.command(name=cli_util.override('create_instance_configuration.command_name', 'create'), help=u"""Creates an instance configuration. An instance configuration is a template that defines the settings to use when creating Compute instances.""") @cli_util.option('--compartment-id', required=True, help=u"""The [OCID] of the compartment containing the instance configuration.""") @cli_util.option('--defined-tags', type=custom_types.CLI_COMPLEX_TYPE, help=u"""Defined tags for this resource. Each key is predefined and scoped to a namespace. For more information, see [Resource Tags]. Example: `{\"Operations\": {\"CostCenter\": \"42\"}}`""" + custom_types.cli_complex_type.COMPLEX_TYPE_HELP) @cli_util.option('--display-name', help=u"""A user-friendly name for the instance configuration. Does not have to be unique, and it's changeable. Avoid entering confidential information.""") @cli_util.option('--freeform-tags', type=custom_types.CLI_COMPLEX_TYPE, help=u"""Free-form tags for this resource. Each tag is a simple key-value pair with no predefined name, type, or namespace. For more information, see [Resource Tags]. Example: `{\"Department\": \"Finance\"}`""" + custom_types.cli_complex_type.COMPLEX_TYPE_HELP) @cli_util.option('--source', type=custom_types.CliCaseInsensitiveChoice(["NONE", "INSTANCE"]), help=u"""The source of the instance configuration. An instance configuration defines the settings to use when creating Compute instances, including details such as the base image, shape, and metadata. You can also specify the associated resources for the instance, such as block volume attachments and network configuration. The following values are supported: * `NONE`: Creates an instance configuration using the list of settings that you specify. * `INSTANCE`: Creates an instance configuration using an existing instance as a template. The instance configuration uses the same settings as the instance.""") @json_skeleton_utils.get_cli_json_input_option({'defined-tags': {'module': 'core', 'class': 'dict(str, dict(str, object))'}, 'freeform-tags': {'module': 'core', 'class': 'dict(str, string)'}}) @cli_util.help_option @click.pass_context @json_skeleton_utils.json_skeleton_generation_handler(input_params_to_complex_types={'defined-tags': {'module': 'core', 'class': 'dict(str, dict(str, object))'}, 'freeform-tags': {'module': 'core', 'class': 'dict(str, string)'}}, output_type={'module': 'core', 'class': 'InstanceConfiguration'}) @cli_util.wrap_exceptions def create_instance_configuration(ctx, from_json, compartment_id, defined_tags, display_name, freeform_tags, source): kwargs = {} details = {} details['compartmentId'] = compartment_id if defined_tags is not None: details['definedTags'] = cli_util.parse_json_parameter("defined_tags", defined_tags) if display_name is not None: details['displayName'] = display_name if freeform_tags is not None: details['freeformTags'] = cli_util.parse_json_parameter("freeform_tags", freeform_tags) if source is not None: details['source'] = source client = cli_util.build_client('compute_management', ctx) result = client.create_instance_configuration( create_instance_configuration=details, **kwargs ) cli_util.render_response(result, ctx) @instance_configuration_group.command(name=cli_util.override('create_instance_configuration_create_instance_configuration_details.command_name', 'create-instance-configuration-create-instance-configuration-details'), help=u"""Creates an instance configuration. An instance configuration is a template that defines the settings to use when creating Compute instances.""") @cli_util.option('--compartment-id', required=True, help=u"""The [OCID] of the compartment containing the instance configuration.""") @cli_util.option('--instance-details', required=True, type=custom_types.CLI_COMPLEX_TYPE, help=u"""""" + custom_types.cli_complex_type.COMPLEX_TYPE_HELP) @cli_util.option('--defined-tags', type=custom_types.CLI_COMPLEX_TYPE, help=u"""Defined tags for this resource. Each key is predefined and scoped to a namespace. For more information, see [Resource Tags]. Example: `{\"Operations\": {\"CostCenter\": \"42\"}}`""" + custom_types.cli_complex_type.COMPLEX_TYPE_HELP) @cli_util.option('--display-name', help=u"""A user-friendly name for the instance configuration. Does not have to be unique, and it's changeable. Avoid entering confidential information.""") @cli_util.option('--freeform-tags', type=custom_types.CLI_COMPLEX_TYPE, help=u"""Free-form tags for this resource. Each tag is a simple key-value pair with no predefined name, type, or namespace. For more information, see [Resource Tags]. Example: `{\"Department\": \"Finance\"}`""" + custom_types.cli_complex_type.COMPLEX_TYPE_HELP) @json_skeleton_utils.get_cli_json_input_option({'defined-tags': {'module': 'core', 'class': 'dict(str, dict(str, object))'}, 'freeform-tags': {'module': 'core', 'class': 'dict(str, string)'}, 'instance-details': {'module': 'core', 'class': 'InstanceConfigurationInstanceDetails'}}) @cli_util.help_option @click.pass_context @json_skeleton_utils.json_skeleton_generation_handler(input_params_to_complex_types={'defined-tags': {'module': 'core', 'class': 'dict(str, dict(str, object))'}, 'freeform-tags': {'module': 'core', 'class': 'dict(str, string)'}, 'instance-details': {'module': 'core', 'class': 'InstanceConfigurationInstanceDetails'}}, output_type={'module': 'core', 'class': 'InstanceConfiguration'}) @cli_util.wrap_exceptions def create_instance_configuration_create_instance_configuration_details(ctx, from_json, compartment_id, instance_details, defined_tags, display_name, freeform_tags): kwargs = {} details = {} details['compartmentId'] = compartment_id details['instanceDetails'] = cli_util.parse_json_parameter("instance_details", instance_details) if defined_tags is not None: details['definedTags'] = cli_util.parse_json_parameter("defined_tags", defined_tags) if display_name is not None: details['displayName'] = display_name if freeform_tags is not None: details['freeformTags'] = cli_util.parse_json_parameter("freeform_tags", freeform_tags) details['source'] = 'NONE' client = cli_util.build_client('compute_management', ctx) result = client.create_instance_configuration( create_instance_configuration=details, **kwargs ) cli_util.render_response(result, ctx) @instance_configuration_group.command(name=cli_util.override('create_instance_configuration_create_instance_configuration_from_instance_details.command_name', 'create-instance-configuration-create-instance-configuration-from-instance-details'), help=u"""Creates an instance configuration. An instance configuration is a template that defines the settings to use when creating Compute instances.""") @cli_util.option('--compartment-id', required=True, help=u"""The [OCID] of the compartment containing the instance configuration.""") @cli_util.option('--instance-id', required=True, help=u"""The [OCID] of the instance to use to create the instance configuration.""") @cli_util.option('--defined-tags', type=custom_types.CLI_COMPLEX_TYPE, help=u"""Defined tags for this resource. Each key is predefined and scoped to a namespace. For more information, see [Resource Tags]. Example: `{\"Operations\": {\"CostCenter\": \"42\"}}`""" + custom_types.cli_complex_type.COMPLEX_TYPE_HELP) @cli_util.option('--display-name', help=u"""A user-friendly name for the instance configuration. Does not have to be unique, and it's changeable. Avoid entering confidential information.""") @cli_util.option('--freeform-tags', type=custom_types.CLI_COMPLEX_TYPE, help=u"""Free-form tags for this resource. Each tag is a simple key-value pair with no predefined name, type, or namespace. For more information, see [Resource Tags]. Example: `{\"Department\": \"Finance\"}`""" + custom_types.cli_complex_type.COMPLEX_TYPE_HELP) @json_skeleton_utils.get_cli_json_input_option({'defined-tags': {'module': 'core', 'class': 'dict(str, dict(str, object))'}, 'freeform-tags': {'module': 'core', 'class': 'dict(str, string)'}}) @cli_util.help_option @click.pass_context @json_skeleton_utils.json_skeleton_generation_handler(input_params_to_complex_types={'defined-tags': {'module': 'core', 'class': 'dict(str, dict(str, object))'}, 'freeform-tags': {'module': 'core', 'class': 'dict(str, string)'}}, output_type={'module': 'core', 'class': 'InstanceConfiguration'}) @cli_util.wrap_exceptions def create_instance_configuration_create_instance_configuration_from_instance_details(ctx, from_json, compartment_id, instance_id, defined_tags, display_name, freeform_tags): kwargs = {} details = {} details['compartmentId'] = compartment_id details['instanceId'] = instance_id if defined_tags is not None: details['definedTags'] = cli_util.parse_json_parameter("defined_tags", defined_tags) if display_name is not None: details['displayName'] = display_name if freeform_tags is not None: details['freeformTags'] = cli_util.parse_json_parameter("freeform_tags", freeform_tags) details['source'] = 'INSTANCE' client = cli_util.build_client('compute_management', ctx) result = client.create_instance_configuration( create_instance_configuration=details, **kwargs ) cli_util.render_response(result, ctx) @instance_pool_group.command(name=cli_util.override('create_instance_pool.command_name', 'create'), help=u"""Create an instance pool.""") @cli_util.option('--compartment-id', required=True, help=u"""The OCID of the compartment containing the instance pool""") @cli_util.option('--instance-configuration-id', required=True, help=u"""The OCID of the instance configuration associated with the instance pool.""") @cli_util.option('--placement-configurations', required=True, type=custom_types.CLI_COMPLEX_TYPE, help=u"""The placement configurations for the instance pool. Provide one placement configuration for each availability domain. To use the instance pool with a regional subnet, provide a placement configuration for each availability domain, and include the regional subnet in each placement configuration.""" + custom_types.cli_complex_type.COMPLEX_TYPE_HELP) @cli_util.option('--size', required=True, type=click.INT, help=u"""The number of instances that should be in the instance pool.""") @cli_util.option('--defined-tags', type=custom_types.CLI_COMPLEX_TYPE, help=u"""Defined tags for this resource. Each key is predefined and scoped to a namespace. For more information, see [Resource Tags]. Example: `{\"Operations\": {\"CostCenter\": \"42\"}}`""" + custom_types.cli_complex_type.COMPLEX_TYPE_HELP) @cli_util.option('--display-name', help=u"""A user-friendly name for the instance pool. Does not have to be unique, and it's changeable. Avoid entering confidential information.""") @cli_util.option('--freeform-tags', type=custom_types.CLI_COMPLEX_TYPE, help=u"""Free-form tags for this resource. Each tag is a simple key-value pair with no predefined name, type, or namespace. For more information, see [Resource Tags]. Example: `{\"Department\": \"Finance\"}`""" + custom_types.cli_complex_type.COMPLEX_TYPE_HELP) @cli_util.option('--load-balancers', type=custom_types.CLI_COMPLEX_TYPE, help=u"""The load balancers to attach to the instance pool. This option is a JSON list with items of type AttachLoadBalancerDetails. For documentation on AttachLoadBalancerDetails please see our API reference: https://docs.cloud.oracle.com/api/#/en/iaas/20160918/datatypes/AttachLoadBalancerDetails.""" + custom_types.cli_complex_type.COMPLEX_TYPE_HELP) @cli_util.option('--wait-for-state', type=custom_types.CliCaseInsensitiveChoice(["PROVISIONING", "SCALING", "STARTING", "STOPPING", "TERMINATING", "STOPPED", "TERMINATED", "RUNNING"]), help="""This operation creates, modifies or deletes a resource that has a defined lifecycle state. Specify this option to perform the action and then wait until the resource reaches a given lifecycle state. If timeout is reached, a return code of 2 is returned. For any other error, a return code of 1 is returned.""") @cli_util.option('--max-wait-seconds', type=click.INT, help="""The maximum time to wait for the resource to reach the lifecycle state defined by --wait-for-state. Defaults to 1200 seconds.""") @cli_util.option('--wait-interval-seconds', type=click.INT, help="""Check every --wait-interval-seconds to see whether the resource to see if it has reached the lifecycle state defined by --wait-for-state. Defaults to 30 seconds.""") @json_skeleton_utils.get_cli_json_input_option({'defined-tags': {'module': 'core', 'class': 'dict(str, dict(str, object))'}, 'freeform-tags': {'module': 'core', 'class': 'dict(str, string)'}, 'placement-configurations': {'module': 'core', 'class': 'list[CreateInstancePoolPlacementConfigurationDetails]'}, 'load-balancers': {'module': 'core', 'class': 'list[AttachLoadBalancerDetails]'}}) @cli_util.help_option @click.pass_context @json_skeleton_utils.json_skeleton_generation_handler(input_params_to_complex_types={'defined-tags': {'module': 'core', 'class': 'dict(str, dict(str, object))'}, 'freeform-tags': {'module': 'core', 'class': 'dict(str, string)'}, 'placement-configurations': {'module': 'core', 'class': 'list[CreateInstancePoolPlacementConfigurationDetails]'}, 'load-balancers': {'module': 'core', 'class': 'list[AttachLoadBalancerDetails]'}}, output_type={'module': 'core', 'class': 'InstancePool'}) @cli_util.wrap_exceptions def create_instance_pool(ctx, from_json, wait_for_state, max_wait_seconds, wait_interval_seconds, compartment_id, instance_configuration_id, placement_configurations, size, defined_tags, display_name, freeform_tags, load_balancers): kwargs = {} details = {} details['compartmentId'] = compartment_id details['instanceConfigurationId'] = instance_configuration_id details['placementConfigurations'] = cli_util.parse_json_parameter("placement_configurations", placement_configurations) details['size'] = size if defined_tags is not None: details['definedTags'] = cli_util.parse_json_parameter("defined_tags", defined_tags) if display_name is not None: details['displayName'] = display_name if freeform_tags is not None: details['freeformTags'] = cli_util.parse_json_parameter("freeform_tags", freeform_tags) if load_balancers is not None: details['loadBalancers'] = cli_util.parse_json_parameter("load_balancers", load_balancers) client = cli_util.build_client('compute_management', ctx) result = client.create_instance_pool( create_instance_pool_details=details, **kwargs ) if wait_for_state: if hasattr(client, 'get_instance_pool') and callable(getattr(client, 'get_instance_pool')): try: wait_period_kwargs = {} if max_wait_seconds is not None: wait_period_kwargs['max_wait_seconds'] = max_wait_seconds if wait_interval_seconds is not None: wait_period_kwargs['max_interval_seconds'] = wait_interval_seconds click.echo('Action completed. Waiting until the resource has entered state: {}'.format(wait_for_state), file=sys.stderr) result = oci.wait_until(client, client.get_instance_pool(result.data.id), 'lifecycle_state', wait_for_state, **wait_period_kwargs) except oci.exceptions.MaximumWaitTimeExceeded as e: # If we fail, we should show an error, but we should still provide the information to the customer click.echo('Failed to wait until the resource entered the specified state. Outputting last known resource state', file=sys.stderr) cli_util.render_response(result, ctx) sys.exit(2) except Exception: click.echo('Encountered error while waiting for resource to enter the specified state. Outputting last known resource state', file=sys.stderr) cli_util.render_response(result, ctx) raise else: click.echo('Unable to wait for the resource to enter the specified state', file=sys.stderr) cli_util.render_response(result, ctx) @instance_configuration_group.command(name=cli_util.override('delete_instance_configuration.command_name', 'delete'), help=u"""Deletes an instance configuration.""") @cli_util.option('--instance-configuration-id', required=True, help=u"""The OCID of the instance configuration.""") @cli_util.option('--if-match', help=u"""For optimistic concurrency control. In the PUT or DELETE call for a resource, set the `if-match` parameter to the value of the etag from a previous GET or POST response for that resource. The resource will be updated or deleted only if the etag you provide matches the resource's current etag value.""") @cli_util.confirm_delete_option @json_skeleton_utils.get_cli_json_input_option({}) @cli_util.help_option @click.pass_context @json_skeleton_utils.json_skeleton_generation_handler(input_params_to_complex_types={}) @cli_util.wrap_exceptions def delete_instance_configuration(ctx, from_json, instance_configuration_id, if_match): if isinstance(instance_configuration_id, six.string_types) and len(instance_configuration_id.strip()) == 0: raise click.UsageError('Parameter --instance-configuration-id cannot be whitespace or empty string') kwargs = {} if if_match is not None: kwargs['if_match'] = if_match client = cli_util.build_client('compute_management', ctx) result = client.delete_instance_configuration( instance_configuration_id=instance_configuration_id, **kwargs ) cli_util.render_response(result, ctx) @instance_pool_group.command(name=cli_util.override('detach_load_balancer.command_name', 'detach'), help=u"""Detach a load balancer from the instance pool.""") @cli_util.option('--instance-pool-id', required=True, help=u"""The OCID of the instance pool.""") @cli_util.option('--load-balancer-id', required=True, help=u"""The OCID of the load balancer to detach from the instance pool.""") @cli_util.option('--backend-set-name', required=True, help=u"""The name of the backend set on the load balancer to detach from the instance pool.""") @cli_util.option('--if-match', help=u"""For optimistic concurrency control. In the PUT or DELETE call for a resource, set the `if-match` parameter to the value of the etag from a previous GET or POST response for that resource. The resource will be updated or deleted only if the etag you provide matches the resource's current etag value.""") @cli_util.option('--wait-for-state', type=custom_types.CliCaseInsensitiveChoice(["PROVISIONING", "SCALING", "STARTING", "STOPPING", "TERMINATING", "STOPPED", "TERMINATED", "RUNNING"]), help="""This operation creates, modifies or deletes a resource that has a defined lifecycle state. Specify this option to perform the action and then wait until the resource reaches a given lifecycle state. If timeout is reached, a return code of 2 is returned. For any other error, a return code of 1 is returned.""") @cli_util.option('--max-wait-seconds', type=click.INT, help="""The maximum time to wait for the resource to reach the lifecycle state defined by --wait-for-state. Defaults to 1200 seconds.""") @cli_util.option('--wait-interval-seconds', type=click.INT, help="""Check every --wait-interval-seconds to see whether the resource to see if it has reached the lifecycle state defined by --wait-for-state. Defaults to 30 seconds.""") @json_skeleton_utils.get_cli_json_input_option({}) @cli_util.help_option @click.pass_context @json_skeleton_utils.json_skeleton_generation_handler(input_params_to_complex_types={}, output_type={'module': 'core', 'class': 'InstancePool'}) @cli_util.wrap_exceptions def detach_load_balancer(ctx, from_json, wait_for_state, max_wait_seconds, wait_interval_seconds, instance_pool_id, load_balancer_id, backend_set_name, if_match): if isinstance(instance_pool_id, six.string_types) and len(instance_pool_id.strip()) == 0: raise click.UsageError('Parameter --instance-pool-id cannot be whitespace or empty string') kwargs = {} if if_match is not None: kwargs['if_match'] = if_match details = {} details['loadBalancerId'] = load_balancer_id details['backendSetName'] = backend_set_name client = cli_util.build_client('compute_management', ctx) result = client.detach_load_balancer( instance_pool_id=instance_pool_id, detach_load_balancer_details=details, **kwargs ) if wait_for_state: if hasattr(client, 'get_instance_pool') and callable(getattr(client, 'get_instance_pool')): try: wait_period_kwargs = {} if max_wait_seconds is not None: wait_period_kwargs['max_wait_seconds'] = max_wait_seconds if wait_interval_seconds is not None: wait_period_kwargs['max_interval_seconds'] = wait_interval_seconds click.echo('Action completed. Waiting until the resource has entered state: {}'.format(wait_for_state), file=sys.stderr) result = oci.wait_until(client, client.get_instance_pool(result.data.id), 'lifecycle_state', wait_for_state, **wait_period_kwargs) except oci.exceptions.MaximumWaitTimeExceeded as e: # If we fail, we should show an error, but we should still provide the information to the customer click.echo('Failed to wait until the resource entered the specified state. Outputting last known resource state', file=sys.stderr) cli_util.render_response(result, ctx) sys.exit(2) except Exception: click.echo('Encountered error while waiting for resource to enter the specified state. Outputting last known resource state', file=sys.stderr) cli_util.render_response(result, ctx) raise else: click.echo('Unable to wait for the resource to enter the specified state', file=sys.stderr) cli_util.render_response(result, ctx) @instance_configuration_group.command(name=cli_util.override('get_instance_configuration.command_name', 'get'), help=u"""Gets the specified instance configuration""") @cli_util.option('--instance-configuration-id', required=True, help=u"""The OCID of the instance configuration.""") @json_skeleton_utils.get_cli_json_input_option({}) @cli_util.help_option @click.pass_context @json_skeleton_utils.json_skeleton_generation_handler(input_params_to_complex_types={}, output_type={'module': 'core', 'class': 'InstanceConfiguration'}) @cli_util.wrap_exceptions def get_instance_configuration(ctx, from_json, instance_configuration_id): if isinstance(instance_configuration_id, six.string_types) and len(instance_configuration_id.strip()) == 0: raise click.UsageError('Parameter --instance-configuration-id cannot be whitespace or empty string') kwargs = {} client = cli_util.build_client('compute_management', ctx) result = client.get_instance_configuration( instance_configuration_id=instance_configuration_id, **kwargs ) cli_util.render_response(result, ctx) @instance_pool_group.command(name=cli_util.override('get_instance_pool.command_name', 'get'), help=u"""Gets the specified instance pool""") @cli_util.option('--instance-pool-id', required=True, help=u"""The OCID of the instance pool.""") @json_skeleton_utils.get_cli_json_input_option({}) @cli_util.help_option @click.pass_context @json_skeleton_utils.json_skeleton_generation_handler(input_params_to_complex_types={}, output_type={'module': 'core', 'class': 'InstancePool'}) @cli_util.wrap_exceptions def get_instance_pool(ctx, from_json, instance_pool_id): if isinstance(instance_pool_id, six.string_types) and len(instance_pool_id.strip()) == 0: raise click.UsageError('Parameter --instance-pool-id cannot be whitespace or empty string') kwargs = {} client = cli_util.build_client('compute_management', ctx) result = client.get_instance_pool( instance_pool_id=instance_pool_id, **kwargs ) cli_util.render_response(result, ctx) @instance_pool_load_balancer_attachment_group.command(name=cli_util.override('get_instance_pool_load_balancer_attachment.command_name', 'get'), help=u"""Gets information about a load balancer that is attached to the specified instance pool.""") @cli_util.option('--instance-pool-id', required=True, help=u"""The OCID of the instance pool.""") @cli_util.option('--instance-pool-load-balancer-attachment-id', required=True, help=u"""The OCID of the load balancer attachment.""") @json_skeleton_utils.get_cli_json_input_option({}) @cli_util.help_option @click.pass_context @json_skeleton_utils.json_skeleton_generation_handler(input_params_to_complex_types={}, output_type={'module': 'core', 'class': 'InstancePoolLoadBalancerAttachment'}) @cli_util.wrap_exceptions def get_instance_pool_load_balancer_attachment(ctx, from_json, instance_pool_id, instance_pool_load_balancer_attachment_id): if isinstance(instance_pool_id, six.string_types) and len(instance_pool_id.strip()) == 0: raise click.UsageError('Parameter --instance-pool-id cannot be whitespace or empty string') if isinstance(instance_pool_load_balancer_attachment_id, six.string_types) and len(instance_pool_load_balancer_attachment_id.strip()) == 0: raise click.UsageError('Parameter --instance-pool-load-balancer-attachment-id cannot be whitespace or empty string') kwargs = {} client = cli_util.build_client('compute_management', ctx) result = client.get_instance_pool_load_balancer_attachment( instance_pool_id=instance_pool_id, instance_pool_load_balancer_attachment_id=instance_pool_load_balancer_attachment_id, **kwargs ) cli_util.render_response(result, ctx) @instance_group.command(name=cli_util.override('launch_instance_configuration.command_name', 'launch-instance-configuration'), help=u"""Launches an instance from an instance configuration. If the instance configuration does not include all of the parameters that are required to launch an instance, such as the availability domain and subnet ID, you must provide these parameters when you launch an instance from the instance configuration. For more information, see the [InstanceConfiguration] resource.""") @cli_util.option('--instance-configuration-id', required=True, help=u"""The OCID of the instance configuration.""") @cli_util.option('--instance-type', required=True, help=u"""The type of instance details. Supported instanceType is compute""") @json_skeleton_utils.get_cli_json_input_option({}) @cli_util.help_option @click.pass_context @json_skeleton_utils.json_skeleton_generation_handler(input_params_to_complex_types={}, output_type={'module': 'core', 'class': 'Instance'}) @cli_util.wrap_exceptions def launch_instance_configuration(ctx, from_json, instance_configuration_id, instance_type): if isinstance(instance_configuration_id, six.string_types) and len(instance_configuration_id.strip()) == 0: raise click.UsageError('Parameter --instance-configuration-id cannot be whitespace or empty string') kwargs = {} details = {} details['instanceType'] = instance_type client = cli_util.build_client('compute_management', ctx) result = client.launch_instance_configuration( instance_configuration_id=instance_configuration_id, instance_configuration=details, **kwargs ) cli_util.render_response(result, ctx) @instance_group.command(name=cli_util.override('launch_instance_configuration_compute_instance_details.command_name', 'launch-instance-configuration-compute-instance-details'), help=u"""Launches an instance from an instance configuration. If the instance configuration does not include all of the parameters that are required to launch an instance, such as the availability domain and subnet ID, you must provide these parameters when you launch an instance from the instance configuration. For more information, see the [InstanceConfiguration] resource.""") @cli_util.option('--instance-configuration-id', required=True, help=u"""The OCID of the instance configuration.""") @cli_util.option('--block-volumes', type=custom_types.CLI_COMPLEX_TYPE, help=u""" This option is a JSON list with items of type InstanceConfigurationBlockVolumeDetails. For documentation on InstanceConfigurationBlockVolumeDetails please see our API reference: https://docs.cloud.oracle.com/api/#/en/iaas/20160918/datatypes/InstanceConfigurationBlockVolumeDetails.""" + custom_types.cli_complex_type.COMPLEX_TYPE_HELP) @cli_util.option('--launch-details', type=custom_types.CLI_COMPLEX_TYPE, help=u"""""" + custom_types.cli_complex_type.COMPLEX_TYPE_HELP) @cli_util.option('--secondary-vnics', type=custom_types.CLI_COMPLEX_TYPE, help=u""" This option is a JSON list with items of type InstanceConfigurationAttachVnicDetails. For documentation on InstanceConfigurationAttachVnicDetails please see our API reference: https://docs.cloud.oracle.com/api/#/en/iaas/20160918/datatypes/InstanceConfigurationAttachVnicDetails.""" + custom_types.cli_complex_type.COMPLEX_TYPE_HELP) @json_skeleton_utils.get_cli_json_input_option({'block-volumes': {'module': 'core', 'class': 'list[InstanceConfigurationBlockVolumeDetails]'}, 'launch-details': {'module': 'core', 'class': 'InstanceConfigurationLaunchInstanceDetails'}, 'secondary-vnics': {'module': 'core', 'class': 'list[InstanceConfigurationAttachVnicDetails]'}}) @cli_util.help_option @click.pass_context @json_skeleton_utils.json_skeleton_generation_handler(input_params_to_complex_types={'block-volumes': {'module': 'core', 'class': 'list[InstanceConfigurationBlockVolumeDetails]'}, 'launch-details': {'module': 'core', 'class': 'InstanceConfigurationLaunchInstanceDetails'}, 'secondary-vnics': {'module': 'core', 'class': 'list[InstanceConfigurationAttachVnicDetails]'}}, output_type={'module': 'core', 'class': 'Instance'}) @cli_util.wrap_exceptions def launch_instance_configuration_compute_instance_details(ctx, from_json, instance_configuration_id, block_volumes, launch_details, secondary_vnics): if isinstance(instance_configuration_id, six.string_types) and len(instance_configuration_id.strip()) == 0: raise click.UsageError('Parameter --instance-configuration-id cannot be whitespace or empty string') kwargs = {} details = {} if block_volumes is not None: details['blockVolumes'] = cli_util.parse_json_parameter("block_volumes", block_volumes) if launch_details is not None: details['launchDetails'] = cli_util.parse_json_parameter("launch_details", launch_details) if secondary_vnics is not None: details['secondaryVnics'] = cli_util.parse_json_parameter("secondary_vnics", secondary_vnics) details['instanceType'] = 'compute' client = cli_util.build_client('compute_management', ctx) result = client.launch_instance_configuration( instance_configuration_id=instance_configuration_id, instance_configuration=details, **kwargs ) cli_util.render_response(result, ctx) @instance_configuration_group.command(name=cli_util.override('list_instance_configurations.command_name', 'list'), help=u"""Lists the instance configurations in the specified compartment.""") @cli_util.option('--compartment-id', required=True, help=u"""The [OCID] of the compartment.""") @cli_util.option('--limit', type=click.INT, help=u"""For list pagination. The maximum number of results per page, or items to return in a paginated \"List\" call. For important details about how pagination works, see [List Pagination]. Example: `50`""") @cli_util.option('--page', help=u"""For list pagination. The value of the `opc-next-page` response header from the previous \"List\" call. For important details about how pagination works, see [List Pagination].""") @cli_util.option('--sort-by', type=custom_types.CliCaseInsensitiveChoice(["TIMECREATED", "DISPLAYNAME"]), help=u"""The field to sort by. You can provide one sort order (`sortOrder`). Default order for TIMECREATED is descending. Default order for DISPLAYNAME is ascending. The DISPLAYNAME sort order is case sensitive. **Note:** In general, some \"List\" operations (for example, `ListInstances`) let you optionally filter by availability domain if the scope of the resource type is within a single availability domain. If you call one of these \"List\" operations without specifying an availability domain, the resources are grouped by availability domain, then sorted.""") @cli_util.option('--sort-order', type=custom_types.CliCaseInsensitiveChoice(["ASC", "DESC"]), help=u"""The sort order to use, either ascending (`ASC`) or descending (`DESC`). The DISPLAYNAME sort order is case sensitive.""") @cli_util.option('--all', 'all_pages', is_flag=True, help="""Fetches all pages of results. If you provide this option, then you cannot provide the --limit option.""") @cli_util.option('--page-size', type=click.INT, help="""When fetching results, the number of results to fetch per call. Only valid when used with --all or --limit, and ignored otherwise.""") @json_skeleton_utils.get_cli_json_input_option({}) @cli_util.help_option @click.pass_context @json_skeleton_utils.json_skeleton_generation_handler(input_params_to_complex_types={}, output_type={'module': 'core', 'class': 'list[InstanceConfigurationSummary]'}) @cli_util.wrap_exceptions def list_instance_configurations(ctx, from_json, all_pages, page_size, compartment_id, limit, page, sort_by, sort_order): if all_pages and limit: raise click.UsageError('If you provide the --all option you cannot provide the --limit option') kwargs = {} if limit is not None: kwargs['limit'] = limit if page is not None: kwargs['page'] = page if sort_by is not None: kwargs['sort_by'] = sort_by if sort_order is not None: kwargs['sort_order'] = sort_order client = cli_util.build_client('compute_management', ctx) if all_pages: if page_size: kwargs['limit'] = page_size result = cli_util.list_call_get_all_results( client.list_instance_configurations, compartment_id=compartment_id, **kwargs ) elif limit is not None: result = cli_util.list_call_get_up_to_limit( client.list_instance_configurations, limit, page_size, compartment_id=compartment_id, **kwargs ) else: result = client.list_instance_configurations( compartment_id=compartment_id, **kwargs ) cli_util.render_response(result, ctx) @instance_group.command(name=cli_util.override('list_instance_pool_instances.command_name', 'list-instance-pool-instances'), help=u"""List the instances in the specified instance pool.""") @cli_util.option('--compartment-id', required=True, help=u"""The [OCID] of the compartment.""") @cli_util.option('--instance-pool-id', required=True, help=u"""The OCID of the instance pool.""") @cli_util.option('--display-name', help=u"""A filter to return only resources that match the given display name exactly.""") @cli_util.option('--limit', type=click.INT, help=u"""For list pagination. The maximum number of results per page, or items to return in a paginated \"List\" call. For important details about how pagination works, see [List Pagination]. Example: `50`""") @cli_util.option('--page', help=u"""For list pagination. The value of the `opc-next-page` response header from the previous \"List\" call. For important details about how pagination works, see [List Pagination].""") @cli_util.option('--sort-by', type=custom_types.CliCaseInsensitiveChoice(["TIMECREATED", "DISPLAYNAME"]), help=u"""The field to sort by. You can provide one sort order (`sortOrder`). Default order for TIMECREATED is descending. Default order for DISPLAYNAME is ascending. The DISPLAYNAME sort order is case sensitive. **Note:** In general, some \"List\" operations (for example, `ListInstances`) let you optionally filter by availability domain if the scope of the resource type is within a single availability domain. If you call one of these \"List\" operations without specifying an availability domain, the resources are grouped by availability domain, then sorted.""") @cli_util.option('--sort-order', type=custom_types.CliCaseInsensitiveChoice(["ASC", "DESC"]), help=u"""The sort order to use, either ascending (`ASC`) or descending (`DESC`). The DISPLAYNAME sort order is case sensitive.""") @cli_util.option('--all', 'all_pages', is_flag=True, help="""Fetches all pages of results. If you provide this option, then you cannot provide the --limit option.""") @cli_util.option('--page-size', type=click.INT, help="""When fetching results, the number of results to fetch per call. Only valid when used with --all or --limit, and ignored otherwise.""") @json_skeleton_utils.get_cli_json_input_option({}) @cli_util.help_option @click.pass_context @json_skeleton_utils.json_skeleton_generation_handler(input_params_to_complex_types={}, output_type={'module': 'core', 'class': 'list[InstanceSummary]'}) @cli_util.wrap_exceptions def list_instance_pool_instances(ctx, from_json, all_pages, page_size, compartment_id, instance_pool_id, display_name, limit, page, sort_by, sort_order): if all_pages and limit: raise click.UsageError('If you provide the --all option you cannot provide the --limit option') if isinstance(instance_pool_id, six.string_types) and len(instance_pool_id.strip()) == 0: raise click.UsageError('Parameter --instance-pool-id cannot be whitespace or empty string') kwargs = {} if display_name is not None: kwargs['display_name'] = display_name if limit is not None: kwargs['limit'] = limit if page is not None: kwargs['page'] = page if sort_by is not None: kwargs['sort_by'] = sort_by if sort_order is not None: kwargs['sort_order'] = sort_order client = cli_util.build_client('compute_management', ctx) if all_pages: if page_size: kwargs['limit'] = page_size result = cli_util.list_call_get_all_results( client.list_instance_pool_instances, compartment_id=compartment_id, instance_pool_id=instance_pool_id, **kwargs ) elif limit is not None: result = cli_util.list_call_get_up_to_limit( client.list_instance_pool_instances, limit, page_size, compartment_id=compartment_id, instance_pool_id=instance_pool_id, **kwargs ) else: result = client.list_instance_pool_instances( compartment_id=compartment_id, instance_pool_id=instance_pool_id, **kwargs ) cli_util.render_response(result, ctx) @instance_pool_group.command(name=cli_util.override('list_instance_pools.command_name', 'list'), help=u"""Lists the instance pools in the specified compartment.""") @cli_util.option('--compartment-id', required=True, help=u"""The [OCID] of the compartment.""") @cli_util.option('--display-name', help=u"""A filter to return only resources that match the given display name exactly.""") @cli_util.option('--limit', type=click.INT, help=u"""For list pagination. The maximum number of results per page, or items to return in a paginated \"List\" call. For important details about how pagination works, see [List Pagination]. Example: `50`""") @cli_util.option('--page', help=u"""For list pagination. The value of the `opc-next-page` response header from the previous \"List\" call. For important details about how pagination works, see [List Pagination].""") @cli_util.option('--sort-by', type=custom_types.CliCaseInsensitiveChoice(["TIMECREATED", "DISPLAYNAME"]), help=u"""The field to sort by. You can provide one sort order (`sortOrder`). Default order for TIMECREATED is descending. Default order for DISPLAYNAME is ascending. The DISPLAYNAME sort order is case sensitive. **Note:** In general, some \"List\" operations (for example, `ListInstances`) let you optionally filter by availability domain if the scope of the resource type is within a single availability domain. If you call one of these \"List\" operations without specifying an availability domain, the resources are grouped by availability domain, then sorted.""") @cli_util.option('--sort-order', type=custom_types.CliCaseInsensitiveChoice(["ASC", "DESC"]), help=u"""The sort order to use, either ascending (`ASC`) or descending (`DESC`). The DISPLAYNAME sort order is case sensitive.""") @cli_util.option('--lifecycle-state', type=custom_types.CliCaseInsensitiveChoice(["PROVISIONING", "SCALING", "STARTING", "STOPPING", "TERMINATING", "STOPPED", "TERMINATED", "RUNNING"]), help=u"""A filter to only return resources that match the given lifecycle state. The state value is case-insensitive.""") @cli_util.option('--all', 'all_pages', is_flag=True, help="""Fetches all pages of results. If you provide this option, then you cannot provide the --limit option.""") @cli_util.option('--page-size', type=click.INT, help="""When fetching results, the number of results to fetch per call. Only valid when used with --all or --limit, and ignored otherwise.""") @json_skeleton_utils.get_cli_json_input_option({}) @cli_util.help_option @click.pass_context @json_skeleton_utils.json_skeleton_generation_handler(input_params_to_complex_types={}, output_type={'module': 'core', 'class': 'list[InstancePoolSummary]'}) @cli_util.wrap_exceptions def list_instance_pools(ctx, from_json, all_pages, page_size, compartment_id, display_name, limit, page, sort_by, sort_order, lifecycle_state): if all_pages and limit: raise click.UsageError('If you provide the --all option you cannot provide the --limit option') kwargs = {} if display_name is not None: kwargs['display_name'] = display_name if limit is not None: kwargs['limit'] = limit if page is not None: kwargs['page'] = page if sort_by is not None: kwargs['sort_by'] = sort_by if sort_order is not None: kwargs['sort_order'] = sort_order if lifecycle_state is not None: kwargs['lifecycle_state'] = lifecycle_state client = cli_util.build_client('compute_management', ctx) if all_pages: if page_size: kwargs['limit'] = page_size result = cli_util.list_call_get_all_results( client.list_instance_pools, compartment_id=compartment_id, **kwargs ) elif limit is not None: result = cli_util.list_call_get_up_to_limit( client.list_instance_pools, limit, page_size, compartment_id=compartment_id, **kwargs ) else: result = client.list_instance_pools( compartment_id=compartment_id, **kwargs ) cli_util.render_response(result, ctx) @instance_pool_group.command(name=cli_util.override('reset_instance_pool.command_name', 'reset'), help=u"""Performs the reset (power off and power on) action on the specified instance pool, which performs the action on all the instances in the pool.""") @cli_util.option('--instance-pool-id', required=True, help=u"""The OCID of the instance pool.""") @cli_util.option('--if-match', help=u"""For optimistic concurrency control. In the PUT or DELETE call for a resource, set the `if-match` parameter to the value of the etag from a previous GET or POST response for that resource. The resource will be updated or deleted only if the etag you provide matches the resource's current etag value.""") @cli_util.option('--wait-for-state', type=custom_types.CliCaseInsensitiveChoice(["PROVISIONING", "SCALING", "STARTING", "STOPPING", "TERMINATING", "STOPPED", "TERMINATED", "RUNNING"]), help="""This operation creates, modifies or deletes a resource that has a defined lifecycle state. Specify this option to perform the action and then wait until the resource reaches a given lifecycle state. If timeout is reached, a return code of 2 is returned. For any other error, a return code of 1 is returned.""") @cli_util.option('--max-wait-seconds', type=click.INT, help="""The maximum time to wait for the resource to reach the lifecycle state defined by --wait-for-state. Defaults to 1200 seconds.""") @cli_util.option('--wait-interval-seconds', type=click.INT, help="""Check every --wait-interval-seconds to see whether the resource to see if it has reached the lifecycle state defined by --wait-for-state. Defaults to 30 seconds.""") @json_skeleton_utils.get_cli_json_input_option({}) @cli_util.help_option @click.pass_context @json_skeleton_utils.json_skeleton_generation_handler(input_params_to_complex_types={}, output_type={'module': 'core', 'class': 'InstancePool'}) @cli_util.wrap_exceptions def reset_instance_pool(ctx, from_json, wait_for_state, max_wait_seconds, wait_interval_seconds, instance_pool_id, if_match): if isinstance(instance_pool_id, six.string_types) and len(instance_pool_id.strip()) == 0: raise click.UsageError('Parameter --instance-pool-id cannot be whitespace or empty string') kwargs = {} if if_match is not None: kwargs['if_match'] = if_match client = cli_util.build_client('compute_management', ctx) result = client.reset_instance_pool( instance_pool_id=instance_pool_id, **kwargs ) if wait_for_state: if hasattr(client, 'get_instance_pool') and callable(getattr(client, 'get_instance_pool')): try: wait_period_kwargs = {} if max_wait_seconds is not None: wait_period_kwargs['max_wait_seconds'] = max_wait_seconds if wait_interval_seconds is not None: wait_period_kwargs['max_interval_seconds'] = wait_interval_seconds click.echo('Action completed. Waiting until the resource has entered state: {}'.format(wait_for_state), file=sys.stderr) result = oci.wait_until(client, client.get_instance_pool(result.data.id), 'lifecycle_state', wait_for_state, **wait_period_kwargs) except oci.exceptions.MaximumWaitTimeExceeded as e: # If we fail, we should show an error, but we should still provide the information to the customer click.echo('Failed to wait until the resource entered the specified state. Outputting last known resource state', file=sys.stderr) cli_util.render_response(result, ctx) sys.exit(2) except Exception: click.echo('Encountered error while waiting for resource to enter the specified state. Outputting last known resource state', file=sys.stderr) cli_util.render_response(result, ctx) raise else: click.echo('Unable to wait for the resource to enter the specified state', file=sys.stderr) cli_util.render_response(result, ctx) @instance_pool_group.command(name=cli_util.override('softreset_instance_pool.command_name', 'softreset'), help=u"""Performs the softreset (ACPI shutdown and power on) action on the specified instance pool, which performs the action on all the instances in the pool.""") @cli_util.option('--instance-pool-id', required=True, help=u"""The OCID of the instance pool.""") @cli_util.option('--if-match', help=u"""For optimistic concurrency control. In the PUT or DELETE call for a resource, set the `if-match` parameter to the value of the etag from a previous GET or POST response for that resource. The resource will be updated or deleted only if the etag you provide matches the resource's current etag value.""") @cli_util.option('--wait-for-state', type=custom_types.CliCaseInsensitiveChoice(["PROVISIONING", "SCALING", "STARTING", "STOPPING", "TERMINATING", "STOPPED", "TERMINATED", "RUNNING"]), help="""This operation creates, modifies or deletes a resource that has a defined lifecycle state. Specify this option to perform the action and then wait until the resource reaches a given lifecycle state. If timeout is reached, a return code of 2 is returned. For any other error, a return code of 1 is returned.""") @cli_util.option('--max-wait-seconds', type=click.INT, help="""The maximum time to wait for the resource to reach the lifecycle state defined by --wait-for-state. Defaults to 1200 seconds.""") @cli_util.option('--wait-interval-seconds', type=click.INT, help="""Check every --wait-interval-seconds to see whether the resource to see if it has reached the lifecycle state defined by --wait-for-state. Defaults to 30 seconds.""") @json_skeleton_utils.get_cli_json_input_option({}) @cli_util.help_option @click.pass_context @json_skeleton_utils.json_skeleton_generation_handler(input_params_to_complex_types={}, output_type={'module': 'core', 'class': 'InstancePool'}) @cli_util.wrap_exceptions def softreset_instance_pool(ctx, from_json, wait_for_state, max_wait_seconds, wait_interval_seconds, instance_pool_id, if_match): if isinstance(instance_pool_id, six.string_types) and len(instance_pool_id.strip()) == 0: raise click.UsageError('Parameter --instance-pool-id cannot be whitespace or empty string') kwargs = {} if if_match is not None: kwargs['if_match'] = if_match client = cli_util.build_client('compute_management', ctx) result = client.softreset_instance_pool( instance_pool_id=instance_pool_id, **kwargs ) if wait_for_state: if hasattr(client, 'get_instance_pool') and callable(getattr(client, 'get_instance_pool')): try: wait_period_kwargs = {} if max_wait_seconds is not None: wait_period_kwargs['max_wait_seconds'] = max_wait_seconds if wait_interval_seconds is not None: wait_period_kwargs['max_interval_seconds'] = wait_interval_seconds click.echo('Action completed. Waiting until the resource has entered state: {}'.format(wait_for_state), file=sys.stderr) result = oci.wait_until(client, client.get_instance_pool(result.data.id), 'lifecycle_state', wait_for_state, **wait_period_kwargs) except oci.exceptions.MaximumWaitTimeExceeded as e: # If we fail, we should show an error, but we should still provide the information to the customer click.echo('Failed to wait until the resource entered the specified state. Outputting last known resource state', file=sys.stderr) cli_util.render_response(result, ctx) sys.exit(2) except Exception: click.echo('Encountered error while waiting for resource to enter the specified state. Outputting last known resource state', file=sys.stderr) cli_util.render_response(result, ctx) raise else: click.echo('Unable to wait for the resource to enter the specified state', file=sys.stderr) cli_util.render_response(result, ctx) @instance_pool_group.command(name=cli_util.override('start_instance_pool.command_name', 'start'), help=u"""Performs the start (power on) action on the specified instance pool, which performs the action on all the instances in the pool.""") @cli_util.option('--instance-pool-id', required=True, help=u"""The OCID of the instance pool.""") @cli_util.option('--if-match', help=u"""For optimistic concurrency control. In the PUT or DELETE call for a resource, set the `if-match` parameter to the value of the etag from a previous GET or POST response for that resource. The resource will be updated or deleted only if the etag you provide matches the resource's current etag value.""") @cli_util.option('--wait-for-state', type=custom_types.CliCaseInsensitiveChoice(["PROVISIONING", "SCALING", "STARTING", "STOPPING", "TERMINATING", "STOPPED", "TERMINATED", "RUNNING"]), help="""This operation creates, modifies or deletes a resource that has a defined lifecycle state. Specify this option to perform the action and then wait until the resource reaches a given lifecycle state. If timeout is reached, a return code of 2 is returned. For any other error, a return code of 1 is returned.""") @cli_util.option('--max-wait-seconds', type=click.INT, help="""The maximum time to wait for the resource to reach the lifecycle state defined by --wait-for-state. Defaults to 1200 seconds.""") @cli_util.option('--wait-interval-seconds', type=click.INT, help="""Check every --wait-interval-seconds to see whether the resource to see if it has reached the lifecycle state defined by --wait-for-state. Defaults to 30 seconds.""") @json_skeleton_utils.get_cli_json_input_option({}) @cli_util.help_option @click.pass_context @json_skeleton_utils.json_skeleton_generation_handler(input_params_to_complex_types={}, output_type={'module': 'core', 'class': 'InstancePool'}) @cli_util.wrap_exceptions def start_instance_pool(ctx, from_json, wait_for_state, max_wait_seconds, wait_interval_seconds, instance_pool_id, if_match): if isinstance(instance_pool_id, six.string_types) and len(instance_pool_id.strip()) == 0: raise click.UsageError('Parameter --instance-pool-id cannot be whitespace or empty string') kwargs = {} if if_match is not None: kwargs['if_match'] = if_match client = cli_util.build_client('compute_management', ctx) result = client.start_instance_pool( instance_pool_id=instance_pool_id, **kwargs ) if wait_for_state: if hasattr(client, 'get_instance_pool') and callable(getattr(client, 'get_instance_pool')): try: wait_period_kwargs = {} if max_wait_seconds is not None: wait_period_kwargs['max_wait_seconds'] = max_wait_seconds if wait_interval_seconds is not None: wait_period_kwargs['max_interval_seconds'] = wait_interval_seconds click.echo('Action completed. Waiting until the resource has entered state: {}'.format(wait_for_state), file=sys.stderr) result = oci.wait_until(client, client.get_instance_pool(result.data.id), 'lifecycle_state', wait_for_state, **wait_period_kwargs) except oci.exceptions.MaximumWaitTimeExceeded as e: # If we fail, we should show an error, but we should still provide the information to the customer click.echo('Failed to wait until the resource entered the specified state. Outputting last known resource state', file=sys.stderr) cli_util.render_response(result, ctx) sys.exit(2) except Exception: click.echo('Encountered error while waiting for resource to enter the specified state. Outputting last known resource state', file=sys.stderr) cli_util.render_response(result, ctx) raise else: click.echo('Unable to wait for the resource to enter the specified state', file=sys.stderr) cli_util.render_response(result, ctx) @instance_pool_group.command(name=cli_util.override('stop_instance_pool.command_name', 'stop'), help=u"""Performs the stop (power off) action on the specified instance pool, which performs the action on all the instances in the pool.""") @cli_util.option('--instance-pool-id', required=True, help=u"""The OCID of the instance pool.""") @cli_util.option('--if-match', help=u"""For optimistic concurrency control. In the PUT or DELETE call for a resource, set the `if-match` parameter to the value of the etag from a previous GET or POST response for that resource. The resource will be updated or deleted only if the etag you provide matches the resource's current etag value.""") @cli_util.option('--wait-for-state', type=custom_types.CliCaseInsensitiveChoice(["PROVISIONING", "SCALING", "STARTING", "STOPPING", "TERMINATING", "STOPPED", "TERMINATED", "RUNNING"]), help="""This operation creates, modifies or deletes a resource that has a defined lifecycle state. Specify this option to perform the action and then wait until the resource reaches a given lifecycle state. If timeout is reached, a return code of 2 is returned. For any other error, a return code of 1 is returned.""") @cli_util.option('--max-wait-seconds', type=click.INT, help="""The maximum time to wait for the resource to reach the lifecycle state defined by --wait-for-state. Defaults to 1200 seconds.""") @cli_util.option('--wait-interval-seconds', type=click.INT, help="""Check every --wait-interval-seconds to see whether the resource to see if it has reached the lifecycle state defined by --wait-for-state. Defaults to 30 seconds.""") @json_skeleton_utils.get_cli_json_input_option({}) @cli_util.help_option @click.pass_context @json_skeleton_utils.json_skeleton_generation_handler(input_params_to_complex_types={}, output_type={'module': 'core', 'class': 'InstancePool'}) @cli_util.wrap_exceptions def stop_instance_pool(ctx, from_json, wait_for_state, max_wait_seconds, wait_interval_seconds, instance_pool_id, if_match): if isinstance(instance_pool_id, six.string_types) and len(instance_pool_id.strip()) == 0: raise click.UsageError('Parameter --instance-pool-id cannot be whitespace or empty string') kwargs = {} if if_match is not None: kwargs['if_match'] = if_match client = cli_util.build_client('compute_management', ctx) result = client.stop_instance_pool( instance_pool_id=instance_pool_id, **kwargs ) if wait_for_state: if hasattr(client, 'get_instance_pool') and callable(getattr(client, 'get_instance_pool')): try: wait_period_kwargs = {} if max_wait_seconds is not None: wait_period_kwargs['max_wait_seconds'] = max_wait_seconds if wait_interval_seconds is not None: wait_period_kwargs['max_interval_seconds'] = wait_interval_seconds click.echo('Action completed. Waiting until the resource has entered state: {}'.format(wait_for_state), file=sys.stderr) result = oci.wait_until(client, client.get_instance_pool(result.data.id), 'lifecycle_state', wait_for_state, **wait_period_kwargs) except oci.exceptions.MaximumWaitTimeExceeded as e: # If we fail, we should show an error, but we should still provide the information to the customer click.echo('Failed to wait until the resource entered the specified state. Outputting last known resource state', file=sys.stderr) cli_util.render_response(result, ctx) sys.exit(2) except Exception: click.echo('Encountered error while waiting for resource to enter the specified state. Outputting last known resource state', file=sys.stderr) cli_util.render_response(result, ctx) raise else: click.echo('Unable to wait for the resource to enter the specified state', file=sys.stderr) cli_util.render_response(result, ctx) @instance_pool_group.command(name=cli_util.override('terminate_instance_pool.command_name', 'terminate'), help=u"""Terminate the specified instance pool.""") @cli_util.option('--instance-pool-id', required=True, help=u"""The OCID of the instance pool.""") @cli_util.option('--if-match', help=u"""For optimistic concurrency control. In the PUT or DELETE call for a resource, set the `if-match` parameter to the value of the etag from a previous GET or POST response for that resource. The resource will be updated or deleted only if the etag you provide matches the resource's current etag value.""") @cli_util.confirm_delete_option @cli_util.option('--wait-for-state', type=custom_types.CliCaseInsensitiveChoice(["PROVISIONING", "SCALING", "STARTING", "STOPPING", "TERMINATING", "STOPPED", "TERMINATED", "RUNNING"]), help="""This operation creates, modifies or deletes a resource that has a defined lifecycle state. Specify this option to perform the action and then wait until the resource reaches a given lifecycle state. If timeout is reached, a return code of 2 is returned. For any other error, a return code of 1 is returned.""") @cli_util.option('--max-wait-seconds', type=click.INT, help="""The maximum time to wait for the resource to reach the lifecycle state defined by --wait-for-state. Defaults to 1200 seconds.""") @cli_util.option('--wait-interval-seconds', type=click.INT, help="""Check every --wait-interval-seconds to see whether the resource to see if it has reached the lifecycle state defined by --wait-for-state. Defaults to 30 seconds.""") @json_skeleton_utils.get_cli_json_input_option({}) @cli_util.help_option @click.pass_context @json_skeleton_utils.json_skeleton_generation_handler(input_params_to_complex_types={}) @cli_util.wrap_exceptions def terminate_instance_pool(ctx, from_json, wait_for_state, max_wait_seconds, wait_interval_seconds, instance_pool_id, if_match): if isinstance(instance_pool_id, six.string_types) and len(instance_pool_id.strip()) == 0: raise click.UsageError('Parameter --instance-pool-id cannot be whitespace or empty string') kwargs = {} if if_match is not None: kwargs['if_match'] = if_match client = cli_util.build_client('compute_management', ctx) result = client.terminate_instance_pool( instance_pool_id=instance_pool_id, **kwargs ) if wait_for_state: if hasattr(client, 'get_instance_pool') and callable(getattr(client, 'get_instance_pool')): try: wait_period_kwargs = {} if max_wait_seconds is not None: wait_period_kwargs['max_wait_seconds'] = max_wait_seconds if wait_interval_seconds is not None: wait_period_kwargs['max_interval_seconds'] = wait_interval_seconds click.echo('Action completed. Waiting until the resource has entered state: {}'.format(wait_for_state), file=sys.stderr) oci.wait_until(client, client.get_instance_pool(instance_pool_id), 'lifecycle_state', wait_for_state, succeed_on_not_found=True, **wait_period_kwargs) except oci.exceptions.ServiceError as e: # We make an initial service call so we can pass the result to oci.wait_until(), however if we are waiting on the # outcome of a delete operation it is possible that the resource is already gone and so the initial service call # will result in an exception that reflects a HTTP 404. In this case, we can exit with success (rather than raising # the exception) since this would have been the behaviour in the waiter anyway (as for delete we provide the argument # succeed_on_not_found=True to the waiter). # # Any non-404 should still result in the exception being thrown. if e.status == 404: pass else: raise except oci.exceptions.MaximumWaitTimeExceeded as e: # If we fail, we should show an error, but we should still provide the information to the customer click.echo('Failed to wait until the resource entered the specified state. Please retrieve the resource to find its current state', file=sys.stderr) cli_util.render_response(result, ctx) sys.exit(2) except Exception: click.echo('Encountered error while waiting for resource to enter the specified state. Outputting last known resource state', file=sys.stderr) cli_util.render_response(result, ctx) raise else: click.echo('Unable to wait for the resource to enter the specified state', file=sys.stderr) cli_util.render_response(result, ctx) @instance_configuration_group.command(name=cli_util.override('update_instance_configuration.command_name', 'update'), help=u"""Updates the free-form tags, defined tags, and display name of an instance configuration.""") @cli_util.option('--instance-configuration-id', required=True, help=u"""The OCID of the instance configuration.""") @cli_util.option('--defined-tags', type=custom_types.CLI_COMPLEX_TYPE, help=u"""Defined tags for this resource. Each key is predefined and scoped to a namespace. For more information, see [Resource Tags]. Example: `{\"Operations\": {\"CostCenter\": \"42\"}}`""" + custom_types.cli_complex_type.COMPLEX_TYPE_HELP) @cli_util.option('--display-name', help=u"""A user-friendly name. Does not have to be unique, and it's changeable. Avoid entering confidential information. Example: `My instance configuration`""") @cli_util.option('--freeform-tags', type=custom_types.CLI_COMPLEX_TYPE, help=u"""Free-form tags for this resource. Each tag is a simple key-value pair with no predefined name, type, or namespace. For more information, see [Resource Tags]. Example: `{\"Department\": \"Finance\"}`""" + custom_types.cli_complex_type.COMPLEX_TYPE_HELP) @cli_util.option('--if-match', help=u"""For optimistic concurrency control. In the PUT or DELETE call for a resource, set the `if-match` parameter to the value of the etag from a previous GET or POST response for that resource. The resource will be updated or deleted only if the etag you provide matches the resource's current etag value.""") @cli_util.option('--force', help="""Perform update without prompting for confirmation.""", is_flag=True) @json_skeleton_utils.get_cli_json_input_option({'defined-tags': {'module': 'core', 'class': 'dict(str, dict(str, object))'}, 'freeform-tags': {'module': 'core', 'class': 'dict(str, string)'}}) @cli_util.help_option @click.pass_context @json_skeleton_utils.json_skeleton_generation_handler(input_params_to_complex_types={'defined-tags': {'module': 'core', 'class': 'dict(str, dict(str, object))'}, 'freeform-tags': {'module': 'core', 'class': 'dict(str, string)'}}, output_type={'module': 'core', 'class': 'InstanceConfiguration'}) @cli_util.wrap_exceptions def update_instance_configuration(ctx, from_json, force, instance_configuration_id, defined_tags, display_name, freeform_tags, if_match): if isinstance(instance_configuration_id, six.string_types) and len(instance_configuration_id.strip()) == 0: raise click.UsageError('Parameter --instance-configuration-id cannot be whitespace or empty string') if not force: if defined_tags or freeform_tags: if not click.confirm("WARNING: Updates to defined-tags and freeform-tags will replace any existing values. Are you sure you want to continue?"): ctx.abort() kwargs = {} if if_match is not None: kwargs['if_match'] = if_match details = {} if defined_tags is not None: details['definedTags'] = cli_util.parse_json_parameter("defined_tags", defined_tags) if display_name is not None: details['displayName'] = display_name if freeform_tags is not None: details['freeformTags'] = cli_util.parse_json_parameter("freeform_tags", freeform_tags) client = cli_util.build_client('compute_management', ctx) result = client.update_instance_configuration( instance_configuration_id=instance_configuration_id, update_instance_configuration_details=details, **kwargs ) cli_util.render_response(result, ctx) @instance_pool_group.command(name=cli_util.override('update_instance_pool.command_name', 'update'), help=u"""Update the specified instance pool. The OCID of the instance pool remains the same.""") @cli_util.option('--instance-pool-id', required=True, help=u"""The OCID of the instance pool.""") @cli_util.option('--defined-tags', type=custom_types.CLI_COMPLEX_TYPE, help=u"""Defined tags for this resource. Each key is predefined and scoped to a namespace. For more information, see [Resource Tags]. Example: `{\"Operations\": {\"CostCenter\": \"42\"}}`""" + custom_types.cli_complex_type.COMPLEX_TYPE_HELP) @cli_util.option('--display-name', help=u"""A user-friendly name for the instance pool. Does not have to be unique, and it's changeable. Avoid entering confidential information.""") @cli_util.option('--freeform-tags', type=custom_types.CLI_COMPLEX_TYPE, help=u"""Free-form tags for this resource. Each tag is a simple key-value pair with no predefined name, type, or namespace. For more information, see [Resource Tags]. Example: `{\"Department\": \"Finance\"}`""" + custom_types.cli_complex_type.COMPLEX_TYPE_HELP) @cli_util.option('--instance-configuration-id', help=u"""The OCID of the instance configuration associated with the instance pool.""") @cli_util.option('--placement-configurations', type=custom_types.CLI_COMPLEX_TYPE, help=u"""The placement configurations for the instance pool. Provide one placement configuration for each availability domain. To use the instance pool with a regional subnet, provide a placement configuration for each availability domain, and include the regional subnet in each placement configuration. This option is a JSON list with items of type UpdateInstancePoolPlacementConfigurationDetails. For documentation on UpdateInstancePoolPlacementConfigurationDetails please see our API reference: https://docs.cloud.oracle.com/api/#/en/iaas/20160918/datatypes/UpdateInstancePoolPlacementConfigurationDetails.""" + custom_types.cli_complex_type.COMPLEX_TYPE_HELP) @cli_util.option('--size', type=click.INT, help=u"""The number of instances that should be in the instance pool.""") @cli_util.option('--if-match', help=u"""For optimistic concurrency control. In the PUT or DELETE call for a resource, set the `if-match` parameter to the value of the etag from a previous GET or POST response for that resource. The resource will be updated or deleted only if the etag you provide matches the resource's current etag value.""") @cli_util.option('--force', help="""Perform update without prompting for confirmation.""", is_flag=True) @cli_util.option('--wait-for-state', type=custom_types.CliCaseInsensitiveChoice(["PROVISIONING", "SCALING", "STARTING", "STOPPING", "TERMINATING", "STOPPED", "TERMINATED", "RUNNING"]), help="""This operation creates, modifies or deletes a resource that has a defined lifecycle state. Specify this option to perform the action and then wait until the resource reaches a given lifecycle state. If timeout is reached, a return code of 2 is returned. For any other error, a return code of 1 is returned.""") @cli_util.option('--max-wait-seconds', type=click.INT, help="""The maximum time to wait for the resource to reach the lifecycle state defined by --wait-for-state. Defaults to 1200 seconds.""") @cli_util.option('--wait-interval-seconds', type=click.INT, help="""Check every --wait-interval-seconds to see whether the resource to see if it has reached the lifecycle state defined by --wait-for-state. Defaults to 30 seconds.""") @json_skeleton_utils.get_cli_json_input_option({'defined-tags': {'module': 'core', 'class': 'dict(str, dict(str, object))'}, 'freeform-tags': {'module': 'core', 'class': 'dict(str, string)'}, 'placement-configurations': {'module': 'core', 'class': 'list[UpdateInstancePoolPlacementConfigurationDetails]'}}) @cli_util.help_option @click.pass_context @json_skeleton_utils.json_skeleton_generation_handler(input_params_to_complex_types={'defined-tags': {'module': 'core', 'class': 'dict(str, dict(str, object))'}, 'freeform-tags': {'module': 'core', 'class': 'dict(str, string)'}, 'placement-configurations': {'module': 'core', 'class': 'list[UpdateInstancePoolPlacementConfigurationDetails]'}}, output_type={'module': 'core', 'class': 'InstancePool'}) @cli_util.wrap_exceptions def update_instance_pool(ctx, from_json, force, wait_for_state, max_wait_seconds, wait_interval_seconds, instance_pool_id, defined_tags, display_name, freeform_tags, instance_configuration_id, placement_configurations, size, if_match): if isinstance(instance_pool_id, six.string_types) and len(instance_pool_id.strip()) == 0: raise click.UsageError('Parameter --instance-pool-id cannot be whitespace or empty string') if not force: if defined_tags or freeform_tags or placement_configurations: if not click.confirm("WARNING: Updates to defined-tags and freeform-tags and placement-configurations will replace any existing values. Are you sure you want to continue?"): ctx.abort() kwargs = {} if if_match is not None: kwargs['if_match'] = if_match details = {} if defined_tags is not None: details['definedTags'] = cli_util.parse_json_parameter("defined_tags", defined_tags) if display_name is not None: details['displayName'] = display_name if freeform_tags is not None: details['freeformTags'] = cli_util.parse_json_parameter("freeform_tags", freeform_tags) if instance_configuration_id is not None: details['instanceConfigurationId'] = instance_configuration_id if placement_configurations is not None: details['placementConfigurations'] = cli_util.parse_json_parameter("placement_configurations", placement_configurations) if size is not None: details['size'] = size client = cli_util.build_client('compute_management', ctx) result = client.update_instance_pool( instance_pool_id=instance_pool_id, update_instance_pool_details=details, **kwargs ) if wait_for_state: if hasattr(client, 'get_instance_pool') and callable(getattr(client, 'get_instance_pool')): try: wait_period_kwargs = {} if max_wait_seconds is not None: wait_period_kwargs['max_wait_seconds'] = max_wait_seconds if wait_interval_seconds is not None: wait_period_kwargs['max_interval_seconds'] = wait_interval_seconds click.echo('Action completed. Waiting until the resource has entered state: {}'.format(wait_for_state), file=sys.stderr) result = oci.wait_until(client, client.get_instance_pool(result.data.id), 'lifecycle_state', wait_for_state, **wait_period_kwargs) except oci.exceptions.MaximumWaitTimeExceeded as e: # If we fail, we should show an error, but we should still provide the information to the customer click.echo('Failed to wait until the resource entered the specified state. Outputting last known resource state', file=sys.stderr) cli_util.render_response(result, ctx) sys.exit(2) except Exception: click.echo('Encountered error while waiting for resource to enter the specified state. Outputting last known resource state', file=sys.stderr) cli_util.render_response(result, ctx) raise else: click.echo('Unable to wait for the resource to enter the specified state', file=sys.stderr) cli_util.render_response(result, ctx)
73.378825
555
0.742231
12,202
88,715
5.199066
0.044829
0.033985
0.02623
0.013903
0.906335
0.890178
0.876559
0.865572
0.846719
0.830057
0
0.002433
0.152083
88,715
1,208
556
73.43957
0.840913
0.017765
0
0.772126
0
0.111902
0.464811
0.048235
0
0
0
0
0
1
0.029502
false
0.030519
0.018311
0
0.047813
0.001017
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
7
61a7f6b077eea694b941646f6ea74519973f0ce2
1,005
py
Python
eyecandy/__init__.py
Alquimista/Eyecandy-py
89fd47edaf20ab5043c8aa7e5825c54c3ac31a17
[ "MIT" ]
3
2018-02-02T11:29:29.000Z
2021-06-19T17:14:01.000Z
eyecandy/__init__.py
Alquimista/Eyecandy-py
89fd47edaf20ab5043c8aa7e5825c54c3ac31a17
[ "MIT" ]
null
null
null
eyecandy/__init__.py
Alquimista/Eyecandy-py
89fd47edaf20ab5043c8aa7e5825c54c3ac31a17
[ "MIT" ]
1
2017-12-17T09:55:44.000Z
2017-12-17T09:55:44.000Z
#!/usr/bin/env python #-*- coding:utf-8 -*- try: from effector import Generator as load from helpers import timeit from asstime import (Time, FPS_NTSC_FILM, FPS_NTSC, FPS_NTSC_DOUBLE, FPS_NTSC_QUAD, FPS_FILM, FPS_PAL, FPS_PAL_DOUBLE, FPS_PAL_QUAD) from color import Color from interpolate import DEFAULT_INTERPOLATE from reader import VIDEO_ZOOM except ImportError: from .effector import Generator as load from .helpers import timeit from .asstime import (Time, FPS_NTSC_FILM, FPS_NTSC, FPS_NTSC_DOUBLE, FPS_NTSC_QUAD, FPS_FILM, FPS_PAL, FPS_PAL_DOUBLE, FPS_PAL_QUAD) from .color import Color from .interpolate import DEFAULT_INTERPOLATE from .reader import VIDEO_ZOOM ALIGN = { 'top left': 7, 'top center': 8, 'top right': 9, 'middle left': 4, 'middle center': 5, 'middle right': 6, 'bottom left': 1, 'bottom center': 2, 'bottom right': 3}
37.222222
75
0.651741
136
1,005
4.595588
0.345588
0.0896
0.0576
0.0864
0.7616
0.7616
0.7616
0.7616
0.7616
0.7616
0
0.013605
0.268657
1,005
26
76
38.653846
0.836735
0.039801
0
0.181818
0
0
0.102804
0
0
0
0
0
0
1
0
false
0
0.590909
0
0.590909
0
0
0
0
null
0
0
0
0
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
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0
0
0
0
null
0
0
0
0
0
0
0
0
1
0
1
0
0
7
61a9be3a81e0426ccf5c0c7f4a7df9b6b07eff55
46,619
py
Python
data_log/migrations/0001_initial.py
Itori/swarfarm
7192e2d8bca093b4254023bbec42b6a2b1887547
[ "Apache-2.0" ]
66
2017-09-11T04:46:00.000Z
2021-03-13T00:02:42.000Z
data_log/migrations/0001_initial.py
Itori/swarfarm
7192e2d8bca093b4254023bbec42b6a2b1887547
[ "Apache-2.0" ]
133
2017-09-24T21:28:59.000Z
2021-04-02T10:35:31.000Z
data_log/migrations/0001_initial.py
Itori/swarfarm
7192e2d8bca093b4254023bbec42b6a2b1887547
[ "Apache-2.0" ]
28
2017-08-30T19:04:32.000Z
2020-11-16T04:09:00.000Z
# Generated by Django 2.1.7 on 2019-02-24 04:55 import bestiary.models import django.contrib.postgres.fields import django.contrib.postgres.fields.jsonb from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): initial = True dependencies = [ ('bestiary', '0004_auto_20190222_2156'), ('herders', '0003_auto_20190213_1224'), ] operations = [ migrations.CreateModel( name='CraftRuneLog', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('type', models.IntegerField(choices=[(1, 'Energy'), (2, 'Fatal'), (3, 'Blade'), (4, 'Rage'), (5, 'Swift'), (6, 'Focus'), (7, 'Guard'), (8, 'Endure'), (9, 'Violent'), (10, 'Will'), (11, 'Nemesis'), (12, 'Shield'), (13, 'Revenge'), (14, 'Despair'), (15, 'Vampire'), (16, 'Destroy'), (17, 'Fight'), (18, 'Determination'), (19, 'Enhance'), (20, 'Accuracy'), (21, 'Tolerance')])), ('stars', models.IntegerField()), ('level', models.IntegerField()), ('slot', models.IntegerField()), ('quality', models.IntegerField(choices=[(0, 'Normal'), (1, 'Magic'), (2, 'Rare'), (3, 'Hero'), (4, 'Legend')], default=0)), ('original_quality', models.IntegerField(blank=True, choices=[(0, 'Normal'), (1, 'Magic'), (2, 'Rare'), (3, 'Hero'), (4, 'Legend')], null=True)), ('value', models.IntegerField(blank=True, null=True)), ('main_stat', models.IntegerField(choices=[(1, 'HP'), (2, 'HP %'), (3, 'ATK'), (4, 'ATK %'), (5, 'DEF'), (6, 'DEF %'), (7, 'SPD'), (8, 'CRI Rate %'), (9, 'CRI Dmg %'), (10, 'Resistance %'), (11, 'Accuracy %')])), ('main_stat_value', models.IntegerField()), ('innate_stat', models.IntegerField(blank=True, choices=[(1, 'HP'), (2, 'HP %'), (3, 'ATK'), (4, 'ATK %'), (5, 'DEF'), (6, 'DEF %'), (7, 'SPD'), (8, 'CRI Rate %'), (9, 'CRI Dmg %'), (10, 'Resistance %'), (11, 'Accuracy %')], null=True)), ('innate_stat_value', models.IntegerField(blank=True, null=True)), ('substats', django.contrib.postgres.fields.ArrayField(base_field=models.IntegerField(blank=True, choices=[(1, 'HP'), (2, 'HP %'), (3, 'ATK'), (4, 'ATK %'), (5, 'DEF'), (6, 'DEF %'), (7, 'SPD'), (8, 'CRI Rate %'), (9, 'CRI Dmg %'), (10, 'Resistance %'), (11, 'Accuracy %')], null=True), default=list, size=4)), ('substat_values', django.contrib.postgres.fields.ArrayField(base_field=models.IntegerField(blank=True, null=True), default=list, size=4)), ('has_hp', models.BooleanField(default=False)), ('has_atk', models.BooleanField(default=False)), ('has_def', models.BooleanField(default=False)), ('has_crit_rate', models.BooleanField(default=False)), ('has_crit_dmg', models.BooleanField(default=False)), ('has_speed', models.BooleanField(default=False)), ('has_resist', models.BooleanField(default=False)), ('has_accuracy', models.BooleanField(default=False)), ('efficiency', models.FloatField(blank=True, null=True)), ('max_efficiency', models.FloatField(blank=True, null=True)), ('substat_upgrades_remaining', models.IntegerField(blank=True, null=True)), ('wizard_id', models.BigIntegerField()), ('timestamp', models.DateTimeField(blank=True, null=True)), ('server', models.IntegerField(blank=True, choices=[(0, 'Global'), (1, 'Europe'), (2, 'Asia'), (3, 'Korea'), (4, 'Japan'), (5, 'China')], null=True)), ('craft_level', models.IntegerField(choices=[(0, 'Low'), (1, 'Mid'), (2, 'High')])), ('summoner', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, to='herders.Summoner')), ], options={ 'abstract': False, }, bases=(models.Model, bestiary.models.RuneObjectBase), ), migrations.CreateModel( name='DungeonItemDrop', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('quantity', models.IntegerField()), ('item', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='bestiary.GameItem')), ], options={ 'abstract': False, }, ), migrations.CreateModel( name='DungeonLog', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('wizard_id', models.BigIntegerField()), ('timestamp', models.DateTimeField(blank=True, null=True)), ('server', models.IntegerField(blank=True, choices=[(0, 'Global'), (1, 'Europe'), (2, 'Asia'), (3, 'Korea'), (4, 'Japan'), (5, 'China')], null=True)), ('battle_key', models.BigIntegerField(blank=True, db_index=True, null=True)), ('success', models.NullBooleanField(help_text='Null indicates that run was not completed')), ('clear_time', models.DurationField(blank=True, null=True)), ('level', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='bestiary.Level')), ('summoner', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, to='herders.Summoner')), ], options={ 'abstract': False, }, ), migrations.CreateModel( name='DungeonMonsterDrop', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('grade', models.IntegerField()), ('level', models.IntegerField()), ('log', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='data_log.DungeonLog')), ('monster', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='bestiary.Monster')), ], options={ 'abstract': False, }, ), migrations.CreateModel( name='DungeonMonsterPieceDrop', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('quantity', models.IntegerField()), ('log', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='data_log.DungeonLog')), ('monster', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='bestiary.Monster')), ], options={ 'abstract': False, }, ), migrations.CreateModel( name='DungeonRuneDrop', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('type', models.IntegerField(choices=[(1, 'Energy'), (2, 'Fatal'), (3, 'Blade'), (4, 'Rage'), (5, 'Swift'), (6, 'Focus'), (7, 'Guard'), (8, 'Endure'), (9, 'Violent'), (10, 'Will'), (11, 'Nemesis'), (12, 'Shield'), (13, 'Revenge'), (14, 'Despair'), (15, 'Vampire'), (16, 'Destroy'), (17, 'Fight'), (18, 'Determination'), (19, 'Enhance'), (20, 'Accuracy'), (21, 'Tolerance')])), ('stars', models.IntegerField()), ('level', models.IntegerField()), ('slot', models.IntegerField()), ('quality', models.IntegerField(choices=[(0, 'Normal'), (1, 'Magic'), (2, 'Rare'), (3, 'Hero'), (4, 'Legend')], default=0)), ('original_quality', models.IntegerField(blank=True, choices=[(0, 'Normal'), (1, 'Magic'), (2, 'Rare'), (3, 'Hero'), (4, 'Legend')], null=True)), ('value', models.IntegerField(blank=True, null=True)), ('main_stat', models.IntegerField(choices=[(1, 'HP'), (2, 'HP %'), (3, 'ATK'), (4, 'ATK %'), (5, 'DEF'), (6, 'DEF %'), (7, 'SPD'), (8, 'CRI Rate %'), (9, 'CRI Dmg %'), (10, 'Resistance %'), (11, 'Accuracy %')])), ('main_stat_value', models.IntegerField()), ('innate_stat', models.IntegerField(blank=True, choices=[(1, 'HP'), (2, 'HP %'), (3, 'ATK'), (4, 'ATK %'), (5, 'DEF'), (6, 'DEF %'), (7, 'SPD'), (8, 'CRI Rate %'), (9, 'CRI Dmg %'), (10, 'Resistance %'), (11, 'Accuracy %')], null=True)), ('innate_stat_value', models.IntegerField(blank=True, null=True)), ('substats', django.contrib.postgres.fields.ArrayField(base_field=models.IntegerField(blank=True, choices=[(1, 'HP'), (2, 'HP %'), (3, 'ATK'), (4, 'ATK %'), (5, 'DEF'), (6, 'DEF %'), (7, 'SPD'), (8, 'CRI Rate %'), (9, 'CRI Dmg %'), (10, 'Resistance %'), (11, 'Accuracy %')], null=True), default=list, size=4)), ('substat_values', django.contrib.postgres.fields.ArrayField(base_field=models.IntegerField(blank=True, null=True), default=list, size=4)), ('has_hp', models.BooleanField(default=False)), ('has_atk', models.BooleanField(default=False)), ('has_def', models.BooleanField(default=False)), ('has_crit_rate', models.BooleanField(default=False)), ('has_crit_dmg', models.BooleanField(default=False)), ('has_speed', models.BooleanField(default=False)), ('has_resist', models.BooleanField(default=False)), ('has_accuracy', models.BooleanField(default=False)), ('efficiency', models.FloatField(blank=True, null=True)), ('max_efficiency', models.FloatField(blank=True, null=True)), ('substat_upgrades_remaining', models.IntegerField(blank=True, null=True)), ('log', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='data_log.DungeonLog')), ], options={ 'abstract': False, }, bases=(models.Model, bestiary.models.RuneObjectBase), ), migrations.CreateModel( name='DungeonSecretDungeonDrop', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('level', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='bestiary.Level')), ('log', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='data_log.DungeonLog')), ('monster', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='bestiary.Monster')), ], options={ 'abstract': False, }, ), migrations.CreateModel( name='FullLog', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('wizard_id', models.BigIntegerField()), ('timestamp', models.DateTimeField(blank=True, null=True)), ('server', models.IntegerField(blank=True, choices=[(0, 'Global'), (1, 'Europe'), (2, 'Asia'), (3, 'Korea'), (4, 'Japan'), (5, 'China')], null=True)), ('command', models.TextField(db_index=True, max_length=150)), ('request', django.contrib.postgres.fields.jsonb.JSONField()), ('response', django.contrib.postgres.fields.jsonb.JSONField()), ('summoner', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, to='herders.Summoner')), ], options={ 'abstract': False, }, ), migrations.CreateModel( name='MagicBoxCraft', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('wizard_id', models.BigIntegerField()), ('timestamp', models.DateTimeField(blank=True, null=True)), ('server', models.IntegerField(blank=True, choices=[(0, 'Global'), (1, 'Europe'), (2, 'Asia'), (3, 'Korea'), (4, 'Japan'), (5, 'China')], null=True)), ('box_type', models.IntegerField(choices=[(0, 'Unknown Magic Box'), (1, 'Mystical Magic Box'), (2, 'Legendary Magic Box')])), ('summoner', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, to='herders.Summoner')), ], options={ 'abstract': False, }, ), migrations.CreateModel( name='MagicBoxCraftItemDrop', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('quantity', models.IntegerField()), ('item', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='bestiary.GameItem')), ('log', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='data_log.MagicBoxCraft')), ], options={ 'abstract': False, }, ), migrations.CreateModel( name='MagicBoxCraftRuneCraftDrop', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('type', models.IntegerField(choices=[(0, 'Grindstone'), (1, 'Enchant Gem'), (2, 'Immemorial Grindstone'), (3, 'Immemorial Gem')])), ('rune', models.IntegerField(blank=True, choices=[(1, 'Energy'), (2, 'Fatal'), (3, 'Blade'), (4, 'Rage'), (5, 'Swift'), (6, 'Focus'), (7, 'Guard'), (8, 'Endure'), (9, 'Violent'), (10, 'Will'), (11, 'Nemesis'), (12, 'Shield'), (13, 'Revenge'), (14, 'Despair'), (15, 'Vampire'), (16, 'Destroy'), (17, 'Fight'), (18, 'Determination'), (19, 'Enhance'), (20, 'Accuracy'), (21, 'Tolerance')], null=True)), ('stat', models.IntegerField(choices=[(1, 'HP'), (2, 'HP %'), (3, 'ATK'), (4, 'ATK %'), (5, 'DEF'), (6, 'DEF %'), (7, 'SPD'), (8, 'CRI Rate %'), (9, 'CRI Dmg %'), (10, 'Resistance %'), (11, 'Accuracy %')])), ('quality', models.IntegerField(choices=[(0, 'Normal'), (1, 'Magic'), (2, 'Rare'), (3, 'Hero'), (4, 'Legend')])), ('value', models.IntegerField(blank=True, null=True)), ('log', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='data_log.MagicBoxCraft')), ], options={ 'abstract': False, }, bases=(models.Model, bestiary.models.RuneObjectBase), ), migrations.CreateModel( name='MagicBoxCraftRuneDrop', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('type', models.IntegerField(choices=[(1, 'Energy'), (2, 'Fatal'), (3, 'Blade'), (4, 'Rage'), (5, 'Swift'), (6, 'Focus'), (7, 'Guard'), (8, 'Endure'), (9, 'Violent'), (10, 'Will'), (11, 'Nemesis'), (12, 'Shield'), (13, 'Revenge'), (14, 'Despair'), (15, 'Vampire'), (16, 'Destroy'), (17, 'Fight'), (18, 'Determination'), (19, 'Enhance'), (20, 'Accuracy'), (21, 'Tolerance')])), ('stars', models.IntegerField()), ('level', models.IntegerField()), ('slot', models.IntegerField()), ('quality', models.IntegerField(choices=[(0, 'Normal'), (1, 'Magic'), (2, 'Rare'), (3, 'Hero'), (4, 'Legend')], default=0)), ('original_quality', models.IntegerField(blank=True, choices=[(0, 'Normal'), (1, 'Magic'), (2, 'Rare'), (3, 'Hero'), (4, 'Legend')], null=True)), ('value', models.IntegerField(blank=True, null=True)), ('main_stat', models.IntegerField(choices=[(1, 'HP'), (2, 'HP %'), (3, 'ATK'), (4, 'ATK %'), (5, 'DEF'), (6, 'DEF %'), (7, 'SPD'), (8, 'CRI Rate %'), (9, 'CRI Dmg %'), (10, 'Resistance %'), (11, 'Accuracy %')])), ('main_stat_value', models.IntegerField()), ('innate_stat', models.IntegerField(blank=True, choices=[(1, 'HP'), (2, 'HP %'), (3, 'ATK'), (4, 'ATK %'), (5, 'DEF'), (6, 'DEF %'), (7, 'SPD'), (8, 'CRI Rate %'), (9, 'CRI Dmg %'), (10, 'Resistance %'), (11, 'Accuracy %')], null=True)), ('innate_stat_value', models.IntegerField(blank=True, null=True)), ('substats', django.contrib.postgres.fields.ArrayField(base_field=models.IntegerField(blank=True, choices=[(1, 'HP'), (2, 'HP %'), (3, 'ATK'), (4, 'ATK %'), (5, 'DEF'), (6, 'DEF %'), (7, 'SPD'), (8, 'CRI Rate %'), (9, 'CRI Dmg %'), (10, 'Resistance %'), (11, 'Accuracy %')], null=True), default=list, size=4)), ('substat_values', django.contrib.postgres.fields.ArrayField(base_field=models.IntegerField(blank=True, null=True), default=list, size=4)), ('has_hp', models.BooleanField(default=False)), ('has_atk', models.BooleanField(default=False)), ('has_def', models.BooleanField(default=False)), ('has_crit_rate', models.BooleanField(default=False)), ('has_crit_dmg', models.BooleanField(default=False)), ('has_speed', models.BooleanField(default=False)), ('has_resist', models.BooleanField(default=False)), ('has_accuracy', models.BooleanField(default=False)), ('efficiency', models.FloatField(blank=True, null=True)), ('max_efficiency', models.FloatField(blank=True, null=True)), ('substat_upgrades_remaining', models.IntegerField(blank=True, null=True)), ('log', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='data_log.MagicBoxCraft')), ], options={ 'abstract': False, }, bases=(models.Model, bestiary.models.RuneObjectBase), ), migrations.CreateModel( name='RiftDungeonItemDrop', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('quantity', models.IntegerField()), ('item', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='bestiary.GameItem')), ], options={ 'abstract': False, }, ), migrations.CreateModel( name='RiftDungeonLog', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('wizard_id', models.BigIntegerField()), ('timestamp', models.DateTimeField(blank=True, null=True)), ('server', models.IntegerField(blank=True, choices=[(0, 'Global'), (1, 'Europe'), (2, 'Asia'), (3, 'Korea'), (4, 'Japan'), (5, 'China')], null=True)), ('grade', models.IntegerField(choices=[(1, 'F'), (2, 'D'), (3, 'C'), (4, 'B-'), (5, 'B'), (6, 'B+'), (7, 'A-'), (8, 'A'), (9, 'A+'), (10, 'S'), (11, 'SS'), (12, 'SSS')])), ('total_damage', models.IntegerField()), ('success', models.BooleanField()), ('level', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='bestiary.Level')), ('summoner', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, to='herders.Summoner')), ], options={ 'abstract': False, }, ), migrations.CreateModel( name='RiftDungeonMonsterDrop', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('grade', models.IntegerField()), ('level', models.IntegerField()), ('log', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='data_log.RiftDungeonLog')), ('monster', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='bestiary.Monster')), ], options={ 'abstract': False, }, ), migrations.CreateModel( name='RiftDungeonRuneCraftDrop', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('type', models.IntegerField(choices=[(0, 'Grindstone'), (1, 'Enchant Gem'), (2, 'Immemorial Grindstone'), (3, 'Immemorial Gem')])), ('rune', models.IntegerField(blank=True, choices=[(1, 'Energy'), (2, 'Fatal'), (3, 'Blade'), (4, 'Rage'), (5, 'Swift'), (6, 'Focus'), (7, 'Guard'), (8, 'Endure'), (9, 'Violent'), (10, 'Will'), (11, 'Nemesis'), (12, 'Shield'), (13, 'Revenge'), (14, 'Despair'), (15, 'Vampire'), (16, 'Destroy'), (17, 'Fight'), (18, 'Determination'), (19, 'Enhance'), (20, 'Accuracy'), (21, 'Tolerance')], null=True)), ('stat', models.IntegerField(choices=[(1, 'HP'), (2, 'HP %'), (3, 'ATK'), (4, 'ATK %'), (5, 'DEF'), (6, 'DEF %'), (7, 'SPD'), (8, 'CRI Rate %'), (9, 'CRI Dmg %'), (10, 'Resistance %'), (11, 'Accuracy %')])), ('quality', models.IntegerField(choices=[(0, 'Normal'), (1, 'Magic'), (2, 'Rare'), (3, 'Hero'), (4, 'Legend')])), ('value', models.IntegerField(blank=True, null=True)), ('log', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='data_log.RiftDungeonLog')), ], options={ 'abstract': False, }, bases=(models.Model, bestiary.models.RuneObjectBase), ), migrations.CreateModel( name='RiftDungeonRuneDrop', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('type', models.IntegerField(choices=[(1, 'Energy'), (2, 'Fatal'), (3, 'Blade'), (4, 'Rage'), (5, 'Swift'), (6, 'Focus'), (7, 'Guard'), (8, 'Endure'), (9, 'Violent'), (10, 'Will'), (11, 'Nemesis'), (12, 'Shield'), (13, 'Revenge'), (14, 'Despair'), (15, 'Vampire'), (16, 'Destroy'), (17, 'Fight'), (18, 'Determination'), (19, 'Enhance'), (20, 'Accuracy'), (21, 'Tolerance')])), ('stars', models.IntegerField()), ('level', models.IntegerField()), ('slot', models.IntegerField()), ('quality', models.IntegerField(choices=[(0, 'Normal'), (1, 'Magic'), (2, 'Rare'), (3, 'Hero'), (4, 'Legend')], default=0)), ('original_quality', models.IntegerField(blank=True, choices=[(0, 'Normal'), (1, 'Magic'), (2, 'Rare'), (3, 'Hero'), (4, 'Legend')], null=True)), ('value', models.IntegerField(blank=True, null=True)), ('main_stat', models.IntegerField(choices=[(1, 'HP'), (2, 'HP %'), (3, 'ATK'), (4, 'ATK %'), (5, 'DEF'), (6, 'DEF %'), (7, 'SPD'), (8, 'CRI Rate %'), (9, 'CRI Dmg %'), (10, 'Resistance %'), (11, 'Accuracy %')])), ('main_stat_value', models.IntegerField()), ('innate_stat', models.IntegerField(blank=True, choices=[(1, 'HP'), (2, 'HP %'), (3, 'ATK'), (4, 'ATK %'), (5, 'DEF'), (6, 'DEF %'), (7, 'SPD'), (8, 'CRI Rate %'), (9, 'CRI Dmg %'), (10, 'Resistance %'), (11, 'Accuracy %')], null=True)), ('innate_stat_value', models.IntegerField(blank=True, null=True)), ('substats', django.contrib.postgres.fields.ArrayField(base_field=models.IntegerField(blank=True, choices=[(1, 'HP'), (2, 'HP %'), (3, 'ATK'), (4, 'ATK %'), (5, 'DEF'), (6, 'DEF %'), (7, 'SPD'), (8, 'CRI Rate %'), (9, 'CRI Dmg %'), (10, 'Resistance %'), (11, 'Accuracy %')], null=True), default=list, size=4)), ('substat_values', django.contrib.postgres.fields.ArrayField(base_field=models.IntegerField(blank=True, null=True), default=list, size=4)), ('has_hp', models.BooleanField(default=False)), ('has_atk', models.BooleanField(default=False)), ('has_def', models.BooleanField(default=False)), ('has_crit_rate', models.BooleanField(default=False)), ('has_crit_dmg', models.BooleanField(default=False)), ('has_speed', models.BooleanField(default=False)), ('has_resist', models.BooleanField(default=False)), ('has_accuracy', models.BooleanField(default=False)), ('efficiency', models.FloatField(blank=True, null=True)), ('max_efficiency', models.FloatField(blank=True, null=True)), ('substat_upgrades_remaining', models.IntegerField(blank=True, null=True)), ('log', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='data_log.RiftDungeonLog')), ], options={ 'abstract': False, }, bases=(models.Model, bestiary.models.RuneObjectBase), ), migrations.CreateModel( name='RiftRaidItemDrop', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('quantity', models.IntegerField()), ('item', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='bestiary.GameItem')), ], options={ 'abstract': False, }, ), migrations.CreateModel( name='RiftRaidLog', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('wizard_id', models.BigIntegerField()), ('timestamp', models.DateTimeField(blank=True, null=True)), ('server', models.IntegerField(blank=True, choices=[(0, 'Global'), (1, 'Europe'), (2, 'Asia'), (3, 'Korea'), (4, 'Japan'), (5, 'China')], null=True)), ('battle_key', models.BigIntegerField(blank=True, db_index=True, null=True)), ('success', models.NullBooleanField(help_text='Null indicates that run was not completed')), ('contribution_amount', models.IntegerField(blank=True, null=True)), ('level', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='bestiary.Level')), ('summoner', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, to='herders.Summoner')), ], options={ 'abstract': False, }, ), migrations.CreateModel( name='RiftRaidMonsterDrop', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('quantity', models.IntegerField()), ('item', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='bestiary.GameItem')), ('log', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='data_log.RiftRaidLog')), ], options={ 'abstract': False, }, ), migrations.CreateModel( name='RiftRaidRuneCraftDrop', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('quantity', models.IntegerField()), ('item', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='bestiary.GameItem')), ('log', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='data_log.RiftRaidLog')), ], options={ 'abstract': False, }, ), migrations.CreateModel( name='ShopRefreshItemDrop', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('quantity', models.IntegerField()), ('cost', models.IntegerField()), ('item', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='bestiary.GameItem')), ], options={ 'abstract': False, }, ), migrations.CreateModel( name='ShopRefreshLog', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('wizard_id', models.BigIntegerField()), ('timestamp', models.DateTimeField(blank=True, null=True)), ('server', models.IntegerField(blank=True, choices=[(0, 'Global'), (1, 'Europe'), (2, 'Asia'), (3, 'Korea'), (4, 'Japan'), (5, 'China')], null=True)), ('slots_available', models.IntegerField(blank=True, null=True)), ('summoner', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, to='herders.Summoner')), ], options={ 'abstract': False, }, ), migrations.CreateModel( name='ShopRefreshMonsterDrop', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('grade', models.IntegerField()), ('level', models.IntegerField()), ('cost', models.IntegerField()), ('log', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='data_log.ShopRefreshLog')), ('monster', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='bestiary.Monster')), ], options={ 'abstract': False, }, ), migrations.CreateModel( name='ShopRefreshRuneDrop', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('type', models.IntegerField(choices=[(1, 'Energy'), (2, 'Fatal'), (3, 'Blade'), (4, 'Rage'), (5, 'Swift'), (6, 'Focus'), (7, 'Guard'), (8, 'Endure'), (9, 'Violent'), (10, 'Will'), (11, 'Nemesis'), (12, 'Shield'), (13, 'Revenge'), (14, 'Despair'), (15, 'Vampire'), (16, 'Destroy'), (17, 'Fight'), (18, 'Determination'), (19, 'Enhance'), (20, 'Accuracy'), (21, 'Tolerance')])), ('stars', models.IntegerField()), ('level', models.IntegerField()), ('slot', models.IntegerField()), ('quality', models.IntegerField(choices=[(0, 'Normal'), (1, 'Magic'), (2, 'Rare'), (3, 'Hero'), (4, 'Legend')], default=0)), ('original_quality', models.IntegerField(blank=True, choices=[(0, 'Normal'), (1, 'Magic'), (2, 'Rare'), (3, 'Hero'), (4, 'Legend')], null=True)), ('value', models.IntegerField(blank=True, null=True)), ('main_stat', models.IntegerField(choices=[(1, 'HP'), (2, 'HP %'), (3, 'ATK'), (4, 'ATK %'), (5, 'DEF'), (6, 'DEF %'), (7, 'SPD'), (8, 'CRI Rate %'), (9, 'CRI Dmg %'), (10, 'Resistance %'), (11, 'Accuracy %')])), ('main_stat_value', models.IntegerField()), ('innate_stat', models.IntegerField(blank=True, choices=[(1, 'HP'), (2, 'HP %'), (3, 'ATK'), (4, 'ATK %'), (5, 'DEF'), (6, 'DEF %'), (7, 'SPD'), (8, 'CRI Rate %'), (9, 'CRI Dmg %'), (10, 'Resistance %'), (11, 'Accuracy %')], null=True)), ('innate_stat_value', models.IntegerField(blank=True, null=True)), ('substats', django.contrib.postgres.fields.ArrayField(base_field=models.IntegerField(blank=True, choices=[(1, 'HP'), (2, 'HP %'), (3, 'ATK'), (4, 'ATK %'), (5, 'DEF'), (6, 'DEF %'), (7, 'SPD'), (8, 'CRI Rate %'), (9, 'CRI Dmg %'), (10, 'Resistance %'), (11, 'Accuracy %')], null=True), default=list, size=4)), ('substat_values', django.contrib.postgres.fields.ArrayField(base_field=models.IntegerField(blank=True, null=True), default=list, size=4)), ('has_hp', models.BooleanField(default=False)), ('has_atk', models.BooleanField(default=False)), ('has_def', models.BooleanField(default=False)), ('has_crit_rate', models.BooleanField(default=False)), ('has_crit_dmg', models.BooleanField(default=False)), ('has_speed', models.BooleanField(default=False)), ('has_resist', models.BooleanField(default=False)), ('has_accuracy', models.BooleanField(default=False)), ('efficiency', models.FloatField(blank=True, null=True)), ('max_efficiency', models.FloatField(blank=True, null=True)), ('substat_upgrades_remaining', models.IntegerField(blank=True, null=True)), ('cost', models.IntegerField()), ('log', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='data_log.ShopRefreshLog')), ], options={ 'abstract': False, }, bases=(models.Model, bestiary.models.RuneObjectBase), ), migrations.CreateModel( name='SummonLog', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('wizard_id', models.BigIntegerField()), ('timestamp', models.DateTimeField(blank=True, null=True)), ('server', models.IntegerField(blank=True, choices=[(0, 'Global'), (1, 'Europe'), (2, 'Asia'), (3, 'Korea'), (4, 'Japan'), (5, 'China')], null=True)), ('grade', models.IntegerField()), ('level', models.IntegerField()), ('item', models.ForeignKey(help_text='Item or currency used to summon', on_delete=django.db.models.deletion.CASCADE, to='bestiary.GameItem')), ('monster', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='bestiary.Monster')), ('summoner', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, to='herders.Summoner')), ], options={ 'abstract': False, }, ), migrations.CreateModel( name='WishLog', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('wizard_id', models.BigIntegerField()), ('timestamp', models.DateTimeField(blank=True, null=True)), ('server', models.IntegerField(blank=True, choices=[(0, 'Global'), (1, 'Europe'), (2, 'Asia'), (3, 'Korea'), (4, 'Japan'), (5, 'China')], null=True)), ('wish_id', models.IntegerField()), ('wish_sequence', models.IntegerField()), ('crystal_used', models.BooleanField()), ('summoner', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, to='herders.Summoner')), ], options={ 'abstract': False, }, ), migrations.CreateModel( name='WishLogItemDrop', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('quantity', models.IntegerField()), ('item', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='bestiary.GameItem')), ('log', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='data_log.WishLog')), ], options={ 'abstract': False, }, ), migrations.CreateModel( name='WishLogMonsterDrop', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('grade', models.IntegerField()), ('level', models.IntegerField()), ('log', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='data_log.WishLog')), ('monster', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='bestiary.Monster')), ], options={ 'abstract': False, }, ), migrations.CreateModel( name='WishLogRuneDrop', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('type', models.IntegerField(choices=[(1, 'Energy'), (2, 'Fatal'), (3, 'Blade'), (4, 'Rage'), (5, 'Swift'), (6, 'Focus'), (7, 'Guard'), (8, 'Endure'), (9, 'Violent'), (10, 'Will'), (11, 'Nemesis'), (12, 'Shield'), (13, 'Revenge'), (14, 'Despair'), (15, 'Vampire'), (16, 'Destroy'), (17, 'Fight'), (18, 'Determination'), (19, 'Enhance'), (20, 'Accuracy'), (21, 'Tolerance')])), ('stars', models.IntegerField()), ('level', models.IntegerField()), ('slot', models.IntegerField()), ('quality', models.IntegerField(choices=[(0, 'Normal'), (1, 'Magic'), (2, 'Rare'), (3, 'Hero'), (4, 'Legend')], default=0)), ('original_quality', models.IntegerField(blank=True, choices=[(0, 'Normal'), (1, 'Magic'), (2, 'Rare'), (3, 'Hero'), (4, 'Legend')], null=True)), ('value', models.IntegerField(blank=True, null=True)), ('main_stat', models.IntegerField(choices=[(1, 'HP'), (2, 'HP %'), (3, 'ATK'), (4, 'ATK %'), (5, 'DEF'), (6, 'DEF %'), (7, 'SPD'), (8, 'CRI Rate %'), (9, 'CRI Dmg %'), (10, 'Resistance %'), (11, 'Accuracy %')])), ('main_stat_value', models.IntegerField()), ('innate_stat', models.IntegerField(blank=True, choices=[(1, 'HP'), (2, 'HP %'), (3, 'ATK'), (4, 'ATK %'), (5, 'DEF'), (6, 'DEF %'), (7, 'SPD'), (8, 'CRI Rate %'), (9, 'CRI Dmg %'), (10, 'Resistance %'), (11, 'Accuracy %')], null=True)), ('innate_stat_value', models.IntegerField(blank=True, null=True)), ('substats', django.contrib.postgres.fields.ArrayField(base_field=models.IntegerField(blank=True, choices=[(1, 'HP'), (2, 'HP %'), (3, 'ATK'), (4, 'ATK %'), (5, 'DEF'), (6, 'DEF %'), (7, 'SPD'), (8, 'CRI Rate %'), (9, 'CRI Dmg %'), (10, 'Resistance %'), (11, 'Accuracy %')], null=True), default=list, size=4)), ('substat_values', django.contrib.postgres.fields.ArrayField(base_field=models.IntegerField(blank=True, null=True), default=list, size=4)), ('has_hp', models.BooleanField(default=False)), ('has_atk', models.BooleanField(default=False)), ('has_def', models.BooleanField(default=False)), ('has_crit_rate', models.BooleanField(default=False)), ('has_crit_dmg', models.BooleanField(default=False)), ('has_speed', models.BooleanField(default=False)), ('has_resist', models.BooleanField(default=False)), ('has_accuracy', models.BooleanField(default=False)), ('efficiency', models.FloatField(blank=True, null=True)), ('max_efficiency', models.FloatField(blank=True, null=True)), ('substat_upgrades_remaining', models.IntegerField(blank=True, null=True)), ('log', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='data_log.WishLog')), ], options={ 'abstract': False, }, bases=(models.Model, bestiary.models.RuneObjectBase), ), migrations.CreateModel( name='WorldBossLog', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('wizard_id', models.BigIntegerField()), ('timestamp', models.DateTimeField(blank=True, null=True)), ('server', models.IntegerField(blank=True, choices=[(0, 'Global'), (1, 'Europe'), (2, 'Asia'), (3, 'Korea'), (4, 'Japan'), (5, 'China')], null=True)), ('battle_key', models.BigIntegerField(blank=True, null=True)), ('grade', models.IntegerField(choices=[(1, 'F'), (2, 'D'), (3, 'C'), (4, 'B-'), (5, 'B'), (6, 'B+'), (7, 'A-'), (8, 'A'), (9, 'A+'), (10, 'S'), (11, 'SS'), (12, 'SSS')])), ('damage', models.IntegerField()), ('battle_points', models.IntegerField()), ('bonus_battle_points', models.IntegerField()), ('avg_monster_level', models.FloatField()), ('monster_count', models.IntegerField()), ('summoner', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, to='herders.Summoner')), ], options={ 'abstract': False, }, ), migrations.CreateModel( name='WorldBossLogItemDrop', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('quantity', models.IntegerField()), ('item', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='bestiary.GameItem')), ('log', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='data_log.WorldBossLog')), ], options={ 'abstract': False, }, ), migrations.CreateModel( name='WorldBossLogMonsterDrop', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('grade', models.IntegerField()), ('level', models.IntegerField()), ('log', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='data_log.WorldBossLog')), ('monster', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='bestiary.Monster')), ], options={ 'abstract': False, }, ), migrations.CreateModel( name='WorldBossLogRuneDrop', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('type', models.IntegerField(choices=[(1, 'Energy'), (2, 'Fatal'), (3, 'Blade'), (4, 'Rage'), (5, 'Swift'), (6, 'Focus'), (7, 'Guard'), (8, 'Endure'), (9, 'Violent'), (10, 'Will'), (11, 'Nemesis'), (12, 'Shield'), (13, 'Revenge'), (14, 'Despair'), (15, 'Vampire'), (16, 'Destroy'), (17, 'Fight'), (18, 'Determination'), (19, 'Enhance'), (20, 'Accuracy'), (21, 'Tolerance')])), ('stars', models.IntegerField()), ('level', models.IntegerField()), ('slot', models.IntegerField()), ('quality', models.IntegerField(choices=[(0, 'Normal'), (1, 'Magic'), (2, 'Rare'), (3, 'Hero'), (4, 'Legend')], default=0)), ('original_quality', models.IntegerField(blank=True, choices=[(0, 'Normal'), (1, 'Magic'), (2, 'Rare'), (3, 'Hero'), (4, 'Legend')], null=True)), ('value', models.IntegerField(blank=True, null=True)), ('main_stat', models.IntegerField(choices=[(1, 'HP'), (2, 'HP %'), (3, 'ATK'), (4, 'ATK %'), (5, 'DEF'), (6, 'DEF %'), (7, 'SPD'), (8, 'CRI Rate %'), (9, 'CRI Dmg %'), (10, 'Resistance %'), (11, 'Accuracy %')])), ('main_stat_value', models.IntegerField()), ('innate_stat', models.IntegerField(blank=True, choices=[(1, 'HP'), (2, 'HP %'), (3, 'ATK'), (4, 'ATK %'), (5, 'DEF'), (6, 'DEF %'), (7, 'SPD'), (8, 'CRI Rate %'), (9, 'CRI Dmg %'), (10, 'Resistance %'), (11, 'Accuracy %')], null=True)), ('innate_stat_value', models.IntegerField(blank=True, null=True)), ('substats', django.contrib.postgres.fields.ArrayField(base_field=models.IntegerField(blank=True, choices=[(1, 'HP'), (2, 'HP %'), (3, 'ATK'), (4, 'ATK %'), (5, 'DEF'), (6, 'DEF %'), (7, 'SPD'), (8, 'CRI Rate %'), (9, 'CRI Dmg %'), (10, 'Resistance %'), (11, 'Accuracy %')], null=True), default=list, size=4)), ('substat_values', django.contrib.postgres.fields.ArrayField(base_field=models.IntegerField(blank=True, null=True), default=list, size=4)), ('has_hp', models.BooleanField(default=False)), ('has_atk', models.BooleanField(default=False)), ('has_def', models.BooleanField(default=False)), ('has_crit_rate', models.BooleanField(default=False)), ('has_crit_dmg', models.BooleanField(default=False)), ('has_speed', models.BooleanField(default=False)), ('has_resist', models.BooleanField(default=False)), ('has_accuracy', models.BooleanField(default=False)), ('efficiency', models.FloatField(blank=True, null=True)), ('max_efficiency', models.FloatField(blank=True, null=True)), ('substat_upgrades_remaining', models.IntegerField(blank=True, null=True)), ('log', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='data_log.WorldBossLog')), ], options={ 'abstract': False, }, bases=(models.Model, bestiary.models.RuneObjectBase), ), migrations.AddField( model_name='shoprefreshitemdrop', name='log', field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='data_log.ShopRefreshLog'), ), migrations.AddField( model_name='riftraiditemdrop', name='log', field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='data_log.RiftRaidLog'), ), migrations.AddField( model_name='riftdungeonitemdrop', name='log', field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='data_log.RiftDungeonLog'), ), migrations.AddField( model_name='dungeonitemdrop', name='log', field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='data_log.DungeonLog'), ), ]
69.998498
415
0.543941
4,696
46,619
5.315162
0.05494
0.1125
0.033654
0.046314
0.93774
0.932732
0.923397
0.923397
0.923397
0.923397
0
0.024451
0.253437
46,619
665
416
70.103759
0.692708
0.000965
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1
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0.18436
0.015997
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1
1
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0
0
0
0
0
0
0
0
0
0
8
61c44aa819181db239739a8818b078baa25cfffc
128
py
Python
python/testData/completion/heavyStarPropagation/lib/_pkg0/_pkg0_1/_pkg0_1_0/_pkg0_1_0_1/_pkg0_1_0_1_0/_mod0_1_0_1_0_2.py
jnthn/intellij-community
8fa7c8a3ace62400c838e0d5926a7be106aa8557
[ "Apache-2.0" ]
2
2019-04-28T07:48:50.000Z
2020-12-11T14:18:08.000Z
python/testData/completion/heavyStarPropagation/lib/_pkg0/_pkg0_1/_pkg0_1_0/_pkg0_1_0_1/_pkg0_1_0_1_0/_mod0_1_0_1_0_2.py
Cyril-lamirand/intellij-community
60ab6c61b82fc761dd68363eca7d9d69663cfa39
[ "Apache-2.0" ]
173
2018-07-05T13:59:39.000Z
2018-08-09T01:12:03.000Z
python/testData/completion/heavyStarPropagation/lib/_pkg0/_pkg0_1/_pkg0_1_0/_pkg0_1_0_1/_pkg0_1_0_1_0/_mod0_1_0_1_0_2.py
Cyril-lamirand/intellij-community
60ab6c61b82fc761dd68363eca7d9d69663cfa39
[ "Apache-2.0" ]
2
2020-03-15T08:57:37.000Z
2020-04-07T04:48:14.000Z
name0_1_0_1_0_2_0 = None name0_1_0_1_0_2_1 = None name0_1_0_1_0_2_2 = None name0_1_0_1_0_2_3 = None name0_1_0_1_0_2_4 = None
14.222222
24
0.820313
40
128
1.875
0.175
0.266667
0.466667
0.533333
0.88
0.88
0.746667
0
0
0
0
0.318182
0.140625
128
9
25
14.222222
0.363636
0
0
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0
0
0
0
0
0
0
0
0
1
0
false
0
0
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0
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1
null
1
1
1
1
1
1
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0
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1
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null
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0
0
0
0
0
0
0
0
0
0
10
f651ade844492e0181d6b5c61b66557960766646
187
py
Python
tests/test_helpers.py
ZaiusDR/hack_assembler
553e576c148815e5551ab05a59456824820f69f5
[ "MIT" ]
null
null
null
tests/test_helpers.py
ZaiusDR/hack_assembler
553e576c148815e5551ab05a59456824820f69f5
[ "MIT" ]
null
null
null
tests/test_helpers.py
ZaiusDR/hack_assembler
553e576c148815e5551ab05a59456824820f69f5
[ "MIT" ]
null
null
null
from hackassembler import helpers def test_symbol_to_binary(): assert helpers.symbol_to_binary('1', 4) == '0001' assert helpers.symbol_to_binary('512', 15) == '000001000000000'
26.714286
67
0.737968
25
187
5.24
0.64
0.183206
0.320611
0.320611
0.412214
0
0
0
0
0
0
0.161491
0.139037
187
6
68
31.166667
0.652174
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0.5
1
0.25
true
0
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null
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1
0
1
1
0
0
0
0
0
0
7
14bbff6155c56541bd42247b82506fc6aae3796d
153
py
Python
maha/cleaners/functions/__init__.py
TRoboto/Maha
f229adbb1dcccb6bf8f84852723d24f97d511b24
[ "BSD-3-Clause" ]
152
2021-09-18T08:18:47.000Z
2022-03-14T13:23:17.000Z
maha/cleaners/functions/__init__.py
TRoboto/Maha
f229adbb1dcccb6bf8f84852723d24f97d511b24
[ "BSD-3-Clause" ]
65
2021-09-20T06:00:41.000Z
2022-03-20T22:44:39.000Z
maha/cleaners/functions/__init__.py
TRoboto/Maha
f229adbb1dcccb6bf8f84852723d24f97d511b24
[ "BSD-3-Clause" ]
10
2021-09-18T11:56:57.000Z
2021-11-20T09:05:16.000Z
from .contains_fn import * from .keep_fn import * from .normalize_fn import * from .num2text import * from .remove_fn import * from .replace_fn import *
21.857143
27
0.764706
23
153
4.869565
0.391304
0.357143
0.428571
0
0
0
0
0
0
0
0
0.007752
0.156863
153
6
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25.5
0.860465
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true
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1ad3a8536015b361cad91db9015a2a6e6970d854
380,351
pyt
Python
eran/NNet/nnet/ACASXU_run2a_4_8_batch_2000_16bit.pyt
pauls658/ReluDiff-ICSE2020-Artifact
212854fe04f482183c239e5dfec70106a9a83df8
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7
2020-01-27T21:25:49.000Z
2022-01-07T04:37:37.000Z
eran/NNet/nnet/ACASXU_run2a_4_8_batch_2000_16bit.pyt
yqtianust/ReluDiff-ICSE2020-Artifact
149f6efe4799602db749faa576980c36921a07c7
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1
2022-01-25T17:41:54.000Z
2022-01-26T02:27:51.000Z
eran/NNet/nnet/ACASXU_run2a_4_8_batch_2000_16bit.pyt
yqtianust/ReluDiff-ICSE2020-Artifact
149f6efe4799602db749faa576980c36921a07c7
[ "Apache-2.0" ]
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2020-03-14T17:12:17.000Z
2022-03-16T09:50:46.000Z
ReLU [[0.00829324, 0.0758911, 1.0901, -0.0613971, 0.139144], [0.00396764, -0.00603799, -0.0158349, -0.00271539, 0.0198414], [0.0728147, -1.61585, -0.568863, 0.0781948, -0.11547], [0.0212134, 1.2955, -1.20169, 0.195764, -0.409182], [-0.0218617, 0.150838, 0.328868, 0.295793, -0.313471], [0.593131, 0.706921, -0.380172, -0.419531, 0.403703], [0.0262897, -1.3049, -0.133777, 0.864748, -1.14451], [0.0106831, 0.00874522, -0.00685118, -0.00141094, 0.0097991], [-0.00982301, -0.23162, -0.55795, -0.163597, -0.291302], [-0.0647027, 0.736471, -0.968676, -0.0858166, 0.243599], [-0.071417, 0.902527, -0.916699, 0.191529, -0.314484], [0.0837787, 1.14819, -0.977122, 0.100582, 0.0121707], [-0.0497111, -1.7561, 2.27006, -0.120816, 0.695928], [-0.0135399, 0.0537442, 0.0576323, -0.249126, -0.251495], [-0.0696261, 0.590867, -0.163765, 0.712296, -0.679007], [-0.00632575, -0.719222, 0.962275, 0.349697, -0.697918], [0.0103149, -0.212252, 0.0352816, 0.428557, -0.54784], [1.66567, 0.00899672, 0.0322268, 0.0113816, 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2101a635bf32c13a5983293eeb674d7ce8ac6c03
2,884
py
Python
tests/test_models/test_backbones/test_sr_backbones/test_liif_net.py
Jian137/mmediting-1
e1ac6c93441ec96696d0b530f040b91b809015b6
[ "Apache-2.0" ]
1,884
2020-07-09T18:53:43.000Z
2022-03-31T12:06:18.000Z
tests/test_models/test_backbones/test_sr_backbones/test_liif_net.py
Jian137/mmediting-1
e1ac6c93441ec96696d0b530f040b91b809015b6
[ "Apache-2.0" ]
622
2020-07-09T18:52:27.000Z
2022-03-31T14:41:09.000Z
tests/test_models/test_backbones/test_sr_backbones/test_liif_net.py
Jian137/mmediting-1
e1ac6c93441ec96696d0b530f040b91b809015b6
[ "Apache-2.0" ]
361
2020-07-09T19:21:47.000Z
2022-03-31T09:58:27.000Z
# Copyright (c) OpenMMLab. All rights reserved. import torch from mmedit.models import build_backbone def test_liif_edsr(): model_cfg = dict( type='LIIFEDSR', encoder=dict( type='EDSR', in_channels=3, out_channels=3, mid_channels=64, num_blocks=16), imnet=dict( type='MLPRefiner', in_dim=64, out_dim=3, hidden_list=[256, 256, 256, 256]), local_ensemble=True, feat_unfold=True, cell_decode=True, eval_bsize=30000) # build model model = build_backbone(model_cfg) # test attributes assert model.__class__.__name__ == 'LIIFEDSR' # prepare data inputs = torch.rand(1, 3, 22, 11) targets = torch.rand(1, 128 * 64, 3) coord = torch.rand(1, 128 * 64, 2) cell = torch.rand(1, 128 * 64, 2) # test on cpu output = model(inputs, coord, cell) output = model(inputs, coord, cell, True) assert torch.is_tensor(output) assert output.shape == targets.shape # test on gpu if torch.cuda.is_available(): model = model.cuda() inputs = inputs.cuda() targets = targets.cuda() coord = coord.cuda() cell = cell.cuda() output = model(inputs, coord, cell) output = model(inputs, coord, cell, True) assert torch.is_tensor(output) assert output.shape == targets.shape def test_liif_rdn(): model_cfg = dict( type='LIIFRDN', encoder=dict( type='RDN', in_channels=3, out_channels=3, mid_channels=64, num_blocks=16, upscale_factor=4, num_layers=8, channel_growth=64), imnet=dict( type='MLPRefiner', in_dim=64, out_dim=3, hidden_list=[256, 256, 256, 256]), local_ensemble=True, feat_unfold=True, cell_decode=True, eval_bsize=30000) # build model model = build_backbone(model_cfg) # test attributes assert model.__class__.__name__ == 'LIIFRDN' # prepare data inputs = torch.rand(1, 3, 22, 11) targets = torch.rand(1, 128 * 64, 3) coord = torch.rand(1, 128 * 64, 2) cell = torch.rand(1, 128 * 64, 2) # test on cpu output = model(inputs, coord, cell) output = model(inputs, coord, cell, True) assert torch.is_tensor(output) assert output.shape == targets.shape # test on gpu if torch.cuda.is_available(): model = model.cuda() inputs = inputs.cuda() targets = targets.cuda() coord = coord.cuda() cell = cell.cuda() output = model(inputs, coord, cell) output = model(inputs, coord, cell, True) assert torch.is_tensor(output) assert output.shape == targets.shape
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7
2157fe0b77cfbb7e51009271de2620a064a05433
3,411
py
Python
eoepca_uma/tests/rpt_test.py
EOEPCA/um-common-uma-client
f850becfde7a675e7fd9c6751f8a8effa2a73666
[ "Apache-2.0" ]
null
null
null
eoepca_uma/tests/rpt_test.py
EOEPCA/um-common-uma-client
f850becfde7a675e7fd9c6751f8a8effa2a73666
[ "Apache-2.0" ]
null
null
null
eoepca_uma/tests/rpt_test.py
EOEPCA/um-common-uma-client
f850becfde7a675e7fd9c6751f8a8effa2a73666
[ "Apache-2.0" ]
null
null
null
#!/usr/bin/env python3 from time import time from eoepca_uma import rpt def test_valid_token_intr_data(): valid = [ {"active": True, "permissions": [{"resource_id":"/simple/test", "resource_scopes": ["Auth"]}]}, {"active": True, "permissions": [{"resource_id":"/simple/test/b", "resource_scopes": ["Auth", "Multiple", "Scopes"]}]}, ] resources = [ {"resource_id":"/simple/test", "resource_scopes": ["Auth"]}, {"resource_id":"/simple/test/b", "resource_scopes": ["Auth","Multiple","Scopes"]}, {"resource_id":"/simple/test/b", "resource_scopes": ["Auth","Scopes"]}, ] for i in valid: assert(rpt.valid_token_introspection_data(i, resources=resources) == True) def test_invalid_token_intr_data(): invalid = [ [], {}, {"active": False }, {"active": True, "permissions": [{"resource_id":"/simple/test", "resource_scopes": ["AAAAA"]}]}, {"active": True, "permissions": [{"resource_id":"/simple/invalid", "resource_scopes": ["Auth"]}]}, {"active": True, "permissions": [{"resource_id":"/simple/invalid", "resource_scopes": ["BBBB"]}]}, {"active": True, "permissions": [{"resource_id":"/simple/test/b", "resource_scopes": ["Auth", "Multiple","Scopes"]}]}, {"active": True, "permissions": [{"resource_id":"/simple/test/b", "resource_scopes": []}]}, {"active": True, "permissions": [{"resource_id":"/simple/test/b", "resource_scopes": ["Auth"]}]}, ] resources = [ {"resource_id":"/simple/test", "resource_scopes": ["Auth"]}, {"resource_id":"/simple/test/b", "resource_scopes": ["Auth","Multiple","Scopes","Invalid"]}, ] for i in invalid: assert(rpt.valid_token_introspection_data(i,resources=resources) == False) def test_time_valid_token_intr_data(): now = time() valid = [ {"exp" : now+1_000_000}, {"exp" : now+100}, {"exp" : now+5}, {"nbf" : now-5}, {"nbf" : now-1000}, {"iat" : now-5}, {"iat" : now-1000}, # Combination { "exp" : now+1000, "nbf" : now-100, "iat" : now-1000 } ] resources = [ {"resource_id":"/simple/test", "resource_scopes": ["Auth"]}, ] for i in valid: # We are just testing time here i["active"] = True i["permissions"]= [{"resource_id":"/simple/test", "resource_scopes": ["Auth"]}] assert(rpt.valid_token_introspection_data(i, resources=resources) == True) def test_time_invalid_token_intr_data(): now = time() valid = [ {"exp" : now-1_000_000}, {"exp" : now-100}, {"exp" : now-5}, {"exp" : now}, {"nbf" : now+5}, {"nbf" : now+1000}, {"iat" : now+5}, {"iat" : now+1000}, # Combination { "exp" : now-1000, "nbf" : now+100, "iat" : now+1000 } ] resources = [ {"resource_id":"/simple/test", "resource_scopes": ["Auth"]}, ] for i in valid: # Check time validity, even with an active true i["active"] = True i["permissions"]= [{"resource_id":"/simple/test", "resource_scopes": ["Auth"]}] assert(rpt.valid_token_introspection_data(i, resources=resources) == False)
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7
215dd85382cc6ab5283707359509e5fb8f6598ed
127
py
Python
vk_bot/settings.py
alexeyqu/2bots
aeaaace524f74ce9c2f2f64ac196e8774ac8b5da
[ "MIT" ]
null
null
null
vk_bot/settings.py
alexeyqu/2bots
aeaaace524f74ce9c2f2f64ac196e8774ac8b5da
[ "MIT" ]
null
null
null
vk_bot/settings.py
alexeyqu/2bots
aeaaace524f74ce9c2f2f64ac196e8774ac8b5da
[ "MIT" ]
null
null
null
token = '96fe551ae54ccd21cf85e8f8e4af8cf6d3150979d4f4f69eef62826399bad210658646b35480311040ab7' confirmation_token = '585a8a6c'
63.5
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8
0d22dae9c4891014b0d021ff5f81d65b72782a70
8,834
py
Python
tests/utils/test_password_generator.py
imsofi/codejam-grand-geckos
55aabf5fe127ee9618c1faa2fe8cc02af8054b80
[ "0BSD" ]
5
2021-07-10T02:57:10.000Z
2021-08-02T20:20:10.000Z
tests/utils/test_password_generator.py
imsofi/codejam-grand-geckos
55aabf5fe127ee9618c1faa2fe8cc02af8054b80
[ "0BSD" ]
12
2021-07-09T22:06:22.000Z
2021-07-16T20:27:42.000Z
tests/utils/test_password_generator.py
imsofi/codejam-grand-geckos
55aabf5fe127ee9618c1faa2fe8cc02af8054b80
[ "0BSD" ]
6
2021-07-09T20:55:04.000Z
2021-08-30T19:40:34.000Z
import string import pytest from grand_geckos.utils import generate_passphrase, generate_password class TestGeneratePassword: def test_length_zero(self): with pytest.raises(Exception): generate_password(length=0, use_letters=True, use_numbers=True, use_symbols=False, custom_letters="") def test_length_two(self): with pytest.raises(Exception): generate_password(length=2, use_letters=True, use_numbers=True, use_symbols=False, custom_letters="") def test_numbers(self): pw = generate_password(length=16, use_letters=False, use_numbers=True, use_symbols=False, custom_letters="") assert len(pw) == 16 assert all(char.isdigit() for char in pw) def test_numbers_shortest(self): pw = generate_password(length=1, use_letters=False, use_numbers=True, use_symbols=False, custom_letters="") assert len(pw) == 1 assert all(char.isdigit() for char in pw) def test_strings(self): pw = generate_password(length=16, use_letters=True, use_numbers=False, use_symbols=False, custom_letters="") assert len(pw) == 16 assert any(char in string.ascii_lowercase for char in pw) assert any(char in string.ascii_uppercase for char in pw) assert all(char in string.ascii_letters for char in pw) def test_strings_shortest(self): pw = generate_password(length=2, use_letters=True, use_numbers=False, use_symbols=False, custom_letters="") assert len(pw) == 2 assert all(char in string.ascii_letters for char in pw) def test_punctuations(self): pw = generate_password(length=16, use_letters=False, use_numbers=False, use_symbols=True, custom_letters="") assert len(pw) == 16 assert all(char in string.punctuation for char in pw) def test_punctuations_shortest(self): pw = generate_password(length=1, use_letters=False, use_numbers=False, use_symbols=True, custom_letters="") assert len(pw) == 1 assert all(char in string.punctuation for char in pw) def test_custom_letters(self): custom_letters = "¶|¼²°" pw = generate_password(length=16, use_letters=False, use_numbers=False, use_symbols=False, custom_letters=custom_letters) assert len(pw) == 16 assert all(char in custom_letters for char in pw) def test_custom_letters_shortest(self): custom_letters = "¶|¼²°" pw = generate_password(length=1, use_letters=False, use_numbers=False, use_symbols=False, custom_letters=custom_letters) assert len(pw) == 1 assert all(char in custom_letters for char in pw) def test_letters_numbers(self): pw = generate_password(length=16, use_letters=True, use_numbers=True, use_symbols=False, custom_letters="") assert len(pw) == 16 assert any(char in string.ascii_lowercase for char in pw) assert any(char in string.ascii_uppercase for char in pw) assert any(char in string.digits for char in pw) assert all(char in string.ascii_letters + string.digits for char in pw) def test_letters_numbers_shortest(self): pw = generate_password(length=3, use_letters=True, use_numbers=True, use_symbols=False, custom_letters="") assert len(pw) == 3 assert all(char in string.ascii_letters + string.digits for char in pw) def test_letters_numbers_impossible(self): with pytest.raises(Exception): generate_password(length=2, use_letters=True, use_numbers=True, use_symbols=False, custom_letters="") def test_letters_numbers_symbols(self): pw = generate_password(length=16, use_letters=True, use_numbers=True, use_symbols=True, custom_letters="") assert len(pw) == 16 assert any(char in string.ascii_lowercase for char in pw) assert any(char in string.ascii_uppercase for char in pw) assert any(char in string.digits for char in pw) assert any(char in string.punctuation for char in pw) assert all(char in string.ascii_letters + string.digits + string.punctuation for char in pw) def test_letters_numbers_symbols_shortest(self): pw = generate_password(length=4, use_letters=True, use_numbers=True, use_symbols=True, custom_letters="") assert len(pw) == 4 assert all(char in string.ascii_letters + string.digits + string.punctuation for char in pw) def test_letters_numbers_symbols_impossibe(self): with pytest.raises(Exception): generate_password(length=3, use_letters=True, use_numbers=True, use_symbols=True, custom_letters="") def test_letters_numbers_symbols_custom_letters(self): custom_letters = "¶|¼²°" pw = generate_password(length=16, use_letters=True, use_numbers=True, use_symbols=True, custom_letters=custom_letters) assert len(pw) == 16 assert any(char in string.ascii_lowercase for char in pw) assert any(char in string.ascii_uppercase for char in pw) assert any(char in string.digits for char in pw) assert any(char in string.punctuation for char in pw) assert any(char in custom_letters for char in pw) assert all(char in string.ascii_letters + string.digits + string.punctuation + custom_letters for char in pw) def test_letters_numbers_symbols_custom_letters_shortest(self): custom_letters = "¶|¼²°" pw = generate_password(length=5, use_letters=True, use_numbers=True, use_symbols=True, custom_letters=custom_letters) assert len(pw) == 5 assert all(char in string.ascii_letters + string.digits + string.punctuation + custom_letters for char in pw) def test_letters_numbers_symbols_custom_letters_impossibe(self): custom_letters = "¶|¼²°" with pytest.raises(Exception): generate_password(length=4, use_letters=True, use_numbers=True, use_symbols=True, custom_letters=custom_letters) class TestGeneratePassphrase: def test_length_zero(self): with pytest.raises(Exception): generate_passphrase(length=0) def test_length_one(self): pw = generate_passphrase(length=1) pw_split = pw.split(" ") assert len(pw_split) == 1 def test_length_two(self): pw = generate_passphrase(length=2) pw_split = pw.split(" ") assert len(pw_split) == 2 def test_length_four(self): pw = generate_passphrase(length=4) pw_split = pw.split(" ") assert len(pw_split) == 4
41.474178
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8,834
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false
0.139785
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0
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9
0d4a7718fa7ee4ef9d59cb254fb9d89c0eccf881
13,831
py
Python
lang/python/github/com/metaprov/modelaapi/services/license/v1/license_pb2_grpc.py
metaprov/modeldapi
ee05693832051dcd990ee4f061715d7ae0787340
[ "Apache-2.0" ]
5
2022-02-18T03:40:10.000Z
2022-03-01T16:11:24.000Z
lang/python/github/com/metaprov/modelaapi/services/license/v1/license_pb2_grpc.py
metaprov/modeldapi
ee05693832051dcd990ee4f061715d7ae0787340
[ "Apache-2.0" ]
1
2022-01-07T19:59:25.000Z
2022-02-04T01:21:14.000Z
lang/python/github/com/metaprov/modelaapi/services/license/v1/license_pb2_grpc.py
metaprov/modeldapi
ee05693832051dcd990ee4f061715d7ae0787340
[ "Apache-2.0" ]
1
2022-03-25T10:21:43.000Z
2022-03-25T10:21:43.000Z
# Generated by the gRPC Python protocol compiler plugin. DO NOT EDIT! """Client and server classes corresponding to protobuf-defined services.""" import grpc from github.com.metaprov.modelaapi.services.license.v1 import license_pb2 as github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_license_dot_v1_dot_license__pb2 class LicenseServiceStub(object): """Missing associated documentation comment in .proto file.""" def __init__(self, channel): """Constructor. Args: channel: A grpc.Channel. """ self.ListLicenses = channel.unary_unary( '/github.com.metaprov.modelaapi.services.license.v1.LicenseService/ListLicenses', request_serializer=github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_license_dot_v1_dot_license__pb2.ListLicensesRequest.SerializeToString, response_deserializer=github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_license_dot_v1_dot_license__pb2.ListLicensesResponse.FromString, ) self.CreateLicense = channel.unary_unary( '/github.com.metaprov.modelaapi.services.license.v1.LicenseService/CreateLicense', request_serializer=github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_license_dot_v1_dot_license__pb2.CreateLicenseRequest.SerializeToString, response_deserializer=github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_license_dot_v1_dot_license__pb2.CreateLicenseResponse.FromString, ) self.CreateLicenseFromKey = channel.unary_unary( '/github.com.metaprov.modelaapi.services.license.v1.LicenseService/CreateLicenseFromKey', request_serializer=github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_license_dot_v1_dot_license__pb2.CreateLicenseFromKeyRequest.SerializeToString, response_deserializer=github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_license_dot_v1_dot_license__pb2.CreateLicenseResponse.FromString, ) self.GetLicense = channel.unary_unary( '/github.com.metaprov.modelaapi.services.license.v1.LicenseService/GetLicense', request_serializer=github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_license_dot_v1_dot_license__pb2.GetLicenseRequest.SerializeToString, response_deserializer=github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_license_dot_v1_dot_license__pb2.GetLicenseResponse.FromString, ) self.UpdateLicense = channel.unary_unary( '/github.com.metaprov.modelaapi.services.license.v1.LicenseService/UpdateLicense', request_serializer=github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_license_dot_v1_dot_license__pb2.UpdateLicenseRequest.SerializeToString, response_deserializer=github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_license_dot_v1_dot_license__pb2.UpdateLicenseResponse.FromString, ) self.DeleteLicense = channel.unary_unary( '/github.com.metaprov.modelaapi.services.license.v1.LicenseService/DeleteLicense', request_serializer=github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_license_dot_v1_dot_license__pb2.DeleteLicenseRequest.SerializeToString, response_deserializer=github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_license_dot_v1_dot_license__pb2.DeleteLicenseResponse.FromString, ) class LicenseServiceServicer(object): """Missing associated documentation comment in .proto file.""" def ListLicenses(self, request, context): """Missing associated documentation comment in .proto file.""" context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def CreateLicense(self, request, context): """Missing associated documentation comment in .proto file.""" context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def CreateLicenseFromKey(self, request, context): """Missing associated documentation comment in .proto file.""" context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def GetLicense(self, request, context): """Missing associated documentation comment in .proto file.""" context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def UpdateLicense(self, request, context): """Missing associated documentation comment in .proto file.""" context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def DeleteLicense(self, request, context): """Missing associated documentation comment in .proto file.""" context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def add_LicenseServiceServicer_to_server(servicer, server): rpc_method_handlers = { 'ListLicenses': grpc.unary_unary_rpc_method_handler( servicer.ListLicenses, request_deserializer=github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_license_dot_v1_dot_license__pb2.ListLicensesRequest.FromString, response_serializer=github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_license_dot_v1_dot_license__pb2.ListLicensesResponse.SerializeToString, ), 'CreateLicense': grpc.unary_unary_rpc_method_handler( servicer.CreateLicense, request_deserializer=github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_license_dot_v1_dot_license__pb2.CreateLicenseRequest.FromString, response_serializer=github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_license_dot_v1_dot_license__pb2.CreateLicenseResponse.SerializeToString, ), 'CreateLicenseFromKey': grpc.unary_unary_rpc_method_handler( servicer.CreateLicenseFromKey, request_deserializer=github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_license_dot_v1_dot_license__pb2.CreateLicenseFromKeyRequest.FromString, response_serializer=github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_license_dot_v1_dot_license__pb2.CreateLicenseResponse.SerializeToString, ), 'GetLicense': grpc.unary_unary_rpc_method_handler( servicer.GetLicense, request_deserializer=github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_license_dot_v1_dot_license__pb2.GetLicenseRequest.FromString, response_serializer=github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_license_dot_v1_dot_license__pb2.GetLicenseResponse.SerializeToString, ), 'UpdateLicense': grpc.unary_unary_rpc_method_handler( servicer.UpdateLicense, request_deserializer=github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_license_dot_v1_dot_license__pb2.UpdateLicenseRequest.FromString, response_serializer=github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_license_dot_v1_dot_license__pb2.UpdateLicenseResponse.SerializeToString, ), 'DeleteLicense': grpc.unary_unary_rpc_method_handler( servicer.DeleteLicense, request_deserializer=github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_license_dot_v1_dot_license__pb2.DeleteLicenseRequest.FromString, response_serializer=github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_license_dot_v1_dot_license__pb2.DeleteLicenseResponse.SerializeToString, ), } generic_handler = grpc.method_handlers_generic_handler( 'github.com.metaprov.modelaapi.services.license.v1.LicenseService', rpc_method_handlers) server.add_generic_rpc_handlers((generic_handler,)) # This class is part of an EXPERIMENTAL API. class LicenseService(object): """Missing associated documentation comment in .proto file.""" @staticmethod def ListLicenses(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/github.com.metaprov.modelaapi.services.license.v1.LicenseService/ListLicenses', github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_license_dot_v1_dot_license__pb2.ListLicensesRequest.SerializeToString, github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_license_dot_v1_dot_license__pb2.ListLicensesResponse.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata) @staticmethod def CreateLicense(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/github.com.metaprov.modelaapi.services.license.v1.LicenseService/CreateLicense', github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_license_dot_v1_dot_license__pb2.CreateLicenseRequest.SerializeToString, github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_license_dot_v1_dot_license__pb2.CreateLicenseResponse.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata) @staticmethod def CreateLicenseFromKey(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/github.com.metaprov.modelaapi.services.license.v1.LicenseService/CreateLicenseFromKey', github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_license_dot_v1_dot_license__pb2.CreateLicenseFromKeyRequest.SerializeToString, github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_license_dot_v1_dot_license__pb2.CreateLicenseResponse.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata) @staticmethod def GetLicense(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/github.com.metaprov.modelaapi.services.license.v1.LicenseService/GetLicense', github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_license_dot_v1_dot_license__pb2.GetLicenseRequest.SerializeToString, github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_license_dot_v1_dot_license__pb2.GetLicenseResponse.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata) @staticmethod def UpdateLicense(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/github.com.metaprov.modelaapi.services.license.v1.LicenseService/UpdateLicense', github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_license_dot_v1_dot_license__pb2.UpdateLicenseRequest.SerializeToString, github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_license_dot_v1_dot_license__pb2.UpdateLicenseResponse.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata) @staticmethod def DeleteLicense(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/github.com.metaprov.modelaapi.services.license.v1.LicenseService/DeleteLicense', github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_license_dot_v1_dot_license__pb2.DeleteLicenseRequest.SerializeToString, github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_license_dot_v1_dot_license__pb2.DeleteLicenseResponse.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata)
59.616379
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0.742173
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13,831
6.560908
0.077082
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0.046575
0.058219
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0.898143
0.869716
0.858072
0.82912
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0.008012
0.196804
13,831
231
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59.874459
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false
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0
0
0
0
0
0
0
0
7
b49f85c39cae383bb0c728954e3fd2f0e1b79d57
272
py
Python
src/genie/libs/parser/iosxe/tests/ShowBoot/cli/equal/golden_output_asr1k_expected.py
balmasea/genieparser
d1e71a96dfb081e0a8591707b9d4872decd5d9d3
[ "Apache-2.0" ]
204
2018-06-27T00:55:27.000Z
2022-03-06T21:12:18.000Z
src/genie/libs/parser/iosxe/tests/ShowBoot/cli/equal/golden_output_asr1k_expected.py
balmasea/genieparser
d1e71a96dfb081e0a8591707b9d4872decd5d9d3
[ "Apache-2.0" ]
468
2018-06-19T00:33:18.000Z
2022-03-31T23:23:35.000Z
src/genie/libs/parser/iosxe/tests/ShowBoot/cli/equal/golden_output_asr1k_expected.py
balmasea/genieparser
d1e71a96dfb081e0a8591707b9d4872decd5d9d3
[ "Apache-2.0" ]
309
2019-01-16T20:21:07.000Z
2022-03-30T12:56:41.000Z
expected_output = { "standby": { "boot_variable": "bootflash:/asr1000rpx.bin,12", "configuration_register": "0x2002", }, "active": { "boot_variable": "bootflash:/asr1000rpx.bin,12;", "configuration_register": "0x2002", }, }
24.727273
57
0.580882
22
272
6.954545
0.590909
0.156863
0.27451
0.405229
0.823529
0.823529
0.823529
0.823529
0.823529
0
0
0.106796
0.242647
272
10
58
27.2
0.635922
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0.2
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0.558824
0.371324
0
0
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false
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null
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0
0
0
0
0
0
0
0
0
0
0
8
b4d58dbfa66b4951080289e255b861ae8cc44520
180
py
Python
restapi_logging_handler/__init__.py
ethanmcc/restapi-logging-handler
53ddaddc59befcbaf1a797360d39d55042b0579a
[ "MIT" ]
null
null
null
restapi_logging_handler/__init__.py
ethanmcc/restapi-logging-handler
53ddaddc59befcbaf1a797360d39d55042b0579a
[ "MIT" ]
null
null
null
restapi_logging_handler/__init__.py
ethanmcc/restapi-logging-handler
53ddaddc59befcbaf1a797360d39d55042b0579a
[ "MIT" ]
null
null
null
from __future__ import absolute_import from restapi_logging_handler.loggly_handler import LogglyHandler from restapi_logging_handler.restapi_logging_handler import RestApiHandler
36
74
0.916667
22
180
6.954545
0.454545
0.27451
0.411765
0.326797
0
0
0
0
0
0
0
0
0.072222
180
4
75
45
0.916168
0
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0
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1
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true
0
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1
0
1
0
0
null
1
1
1
0
0
0
0
0
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0
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0
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1
0
0
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null
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1
0
1
0
1
0
0
8
b4d7299b4a0100104cf57b9eeb5b4ac9ba42c9e3
234
py
Python
nullprompt/trainers/__init__.py
vha14/null-prompts
95ea55d7083c71edfdf5d2c229bef6e81b600d9f
[ "Apache-2.0" ]
7
2021-10-04T11:22:23.000Z
2022-01-04T11:47:13.000Z
nullprompt/trainers/__init__.py
vha14/null-prompts
95ea55d7083c71edfdf5d2c229bef6e81b600d9f
[ "Apache-2.0" ]
2
2021-09-29T23:36:53.000Z
2021-10-04T23:58:20.000Z
nullprompt/trainers/__init__.py
vha14/null-prompts
95ea55d7083c71edfdf5d2c229bef6e81b600d9f
[ "Apache-2.0" ]
1
2021-09-27T04:24:16.000Z
2021-09-27T04:24:16.000Z
from nullprompt.trainers.base import Trainer from nullprompt.trainers.continuous_mlm import ContinuousMLMTrainer from nullprompt.trainers.discrete_mlm import DiscreteMLMTrainer from nullprompt.trainers.finetune import FinetuneTrainer
46.8
67
0.897436
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234
8
0.5
0.269231
0.423077
0
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234
4
68
58.5
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1
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1
0
0
7
2e93efaee23a845476fcf5d62bee06828d7b91cf
22,830
py
Python
scenes/tests/unit_test_interactors.py
jordifierro/abidria-api
d7689783bf23fbe43c395b07572a1380654652cd
[ "MIT" ]
93
2017-08-12T09:41:21.000Z
2022-03-19T20:04:41.000Z
scenes/tests/unit_test_interactors.py
jordifierro/abidria-api
d7689783bf23fbe43c395b07572a1380654652cd
[ "MIT" ]
1
2017-10-09T16:49:10.000Z
2017-10-13T18:07:29.000Z
scenes/tests/unit_test_interactors.py
jordifierro/abidria-api
d7689783bf23fbe43c395b07572a1380654652cd
[ "MIT" ]
25
2017-08-18T04:31:23.000Z
2022-02-20T20:31:47.000Z
from mock import Mock from abidria.exceptions import InvalidEntityException, EntityDoesNotExistException, NoLoggedException, \ NoPermissionException from scenes.interactors import GetScenesFromExperienceInteractor, CreateNewSceneInteractor, ModifySceneInteractor, \ UploadScenePictureInteractor from scenes.entities import Scene class TestGetScenesFromExperience: def test_returns_scenes(self): TestGetScenesFromExperience.ScenarioMaker() \ .given_a_logged_person_id() \ .given_a_permissions_validator_that_returns_true() \ .given_two_scenes() \ .given_scene_repo_that_returns_both() \ .given_an_experience_id() \ .when_interactor_is_executed() \ .then_permissions_should_be_validated() \ .then_get_scenes_should_be_called_with_experience_id() \ .then_result_should_be_both_scenes() def test_no_logged_returns_exception(self): TestGetScenesFromExperience.ScenarioMaker() \ .given_a_logged_person_id() \ .given_a_permissions_validator_that_raises_no_logged_exception() \ .given_two_scenes() \ .given_scene_repo_that_returns_both() \ .given_an_experience_id() \ .when_interactor_is_executed() \ .then_permissions_should_be_validated() \ .then_should_raise_no_permissions_exception() class ScenarioMaker: def given_a_logged_person_id(self): self.logged_person_id = '4' return self def given_a_permissions_validator_that_returns_true(self): self.permissions_validator = Mock() self.permissions_validator.validate_permissions.return_value = True return self def given_a_permissions_validator_that_raises_no_logged_exception(self): self.permissions_validator = Mock() self.permissions_validator.validate_permissions.side_effect = NoLoggedException() return self def given_two_scenes(self): self.scene_a = Scene(id=2, title='', description='', picture=None, latitude=1, longitude=0, experience_id=1) self.scene_b = Scene(id=3, title='', description='', picture=None, latitude=1, longitude=0, experience_id=1) return self def given_scene_repo_that_returns_both(self): self.scene_repo = Mock() self.scene_repo.get_scenes.return_value = [self.scene_a, self.scene_b] return self def given_an_experience_id(self): self.experience_id = '5' return self def when_interactor_is_executed(self): try: self.result = GetScenesFromExperienceInteractor(self.scene_repo, permissions_validator=self.permissions_validator) \ .set_params(experience_id=self.experience_id, logged_person_id=self.logged_person_id).execute() except Exception as e: self.error = e return self def then_get_scenes_should_be_called_with_experience_id(self): self.scene_repo.get_scenes.assert_called_once_with(experience_id=self.experience_id) return self def then_result_should_be_both_scenes(self): assert self.result == [self.scene_a, self.scene_b] return self def then_permissions_should_be_validated(self): self.permissions_validator.validate_permissions \ .assert_called_once_with(logged_person_id=self.logged_person_id) return self def then_should_raise_no_permissions_exception(self): assert type(self.error) is NoLoggedException return self class TestCreateNewScene: def test_creates_and_returns_scene(self): TestCreateNewScene.ScenarioMaker() \ .given_a_logged_person_id() \ .given_a_permissions_validator_that_returns_true() \ .given_a_title() \ .given_a_description() \ .given_a_latitude() \ .given_a_longitude() \ .given_an_experience_id() \ .given_an_scene_validator_that_accepts_that_scene() \ .given_an_scene() \ .given_an_scene_repo_that_returns_scene_on_create() \ .when_interactor_is_executed() \ .then_validate_permissions_is_called_with_logged_person_id_and_experience_id() \ .then_validate_scene_is_called_with_previous_params() \ .then_create_scene_is_called_with_previous_params() \ .then_result_should_be_scene() def test_invalid_scene_returns_error_and_doesnt_create_it(self): TestCreateNewScene.ScenarioMaker() \ .given_a_logged_person_id() \ .given_a_permissions_validator_that_returns_true() \ .given_a_title() \ .given_a_description() \ .given_a_latitude() \ .given_a_longitude() \ .given_an_experience_id() \ .given_an_scene_validator_that_raises_invalid_params() \ .given_an_scene_repo() \ .when_interactor_is_executed() \ .then_validate_permissions_is_called_with_logged_person_id_and_experience_id() \ .then_validate_scene_is_called_with_previous_params() \ .then_create_scene_should_not_be_called() \ .then_should_raise_invalid_entity_exception() def test_invalid_permissions_returns_error(self): TestCreateNewScene.ScenarioMaker() \ .given_a_logged_person_id() \ .given_a_permissions_validator_that_raises_no_permissions_exception() \ .given_a_title() \ .given_a_description() \ .given_a_latitude() \ .given_a_longitude() \ .given_an_experience_id() \ .given_an_scene_validator_that_raises_invalid_params() \ .given_an_scene_repo() \ .when_interactor_is_executed() \ .then_validate_permissions_is_called_with_logged_person_id_and_experience_id() \ .then_create_scene_should_not_be_called() \ .then_should_raise_no_permissions_exception() class ScenarioMaker: def given_a_logged_person_id(self): self.logged_person_id = '8' return self def given_a_permissions_validator_that_returns_true(self): self.permissions_validator = Mock() self.permissions_validator.validate_permissions.return_value = True return self def given_a_permissions_validator_that_raises_no_permissions_exception(self): self.permissions_validator = Mock() self.permissions_validator.validate_permissions.side_effect = NoPermissionException() return self def given_a_title(self): self.title = 'Title' return self def given_a_description(self): self.description = 'description' return self def given_a_latitude(self): self.latitude = 1 return self def given_a_longitude(self): self.longitude = 0 return self def given_an_experience_id(self): self.experience_id = '9' return self def given_an_scene(self): self.created_scene = Scene(title='Title', description='', latitude=1, longitude=0, experience_id=1) return self def given_an_scene_validator_that_accepts_that_scene(self): self.scene_validator = Mock() self.scene_validator.validate_scene.return_value = True return self def given_an_scene_validator_that_raises_invalid_params(self): self.scene_validator = Mock() self.scene_validator.validate_scene.side_effect = InvalidEntityException(source='s', code='c', message='m') return self def given_an_scene_repo_that_returns_scene_on_create(self): self.scene_repo = Mock() self.scene_repo.create_scene.return_value = self.created_scene return self def given_an_scene_repo(self): self.scene_repo = Mock() return self def when_interactor_is_executed(self): try: self.result = CreateNewSceneInteractor(self.scene_repo, self.scene_validator, self.permissions_validator) \ .set_params(title=self.title, description=self.description, latitude=self.latitude, longitude=self.longitude, experience_id=self.experience_id, logged_person_id=self.logged_person_id).execute() except Exception as e: self.error = e return self def then_validate_permissions_is_called_with_logged_person_id_and_experience_id(self): self.permissions_validator.validate_permissions \ .assert_called_once_with(logged_person_id=self.logged_person_id, has_permissions_to_modify_experience=self.experience_id) return self def then_validate_scene_is_called_with_previous_params(self): scene = Scene(title=self.title, description=self.description, latitude=self.latitude, longitude=self.longitude, experience_id=self.experience_id) self.scene_validator.validate_scene.assert_called_once_with(scene) return self def then_create_scene_is_called_with_previous_params(self): scene = Scene(title=self.title, description=self.description, latitude=self.latitude, longitude=self.longitude, experience_id=self.experience_id) self.scene_repo.create_scene.assert_called_once_with(scene) return self def then_create_scene_should_not_be_called(self): self.scene_repo.created_scene.assert_not_called() return self def then_result_should_be_scene(self): assert self.result == self.created_scene def then_should_raise_invalid_entity_exception(self): assert type(self.error) is InvalidEntityException assert self.error.source == 's' assert self.error.code == 'c' assert str(self.error) == 'm' return self def then_should_raise_no_permissions_exception(self): assert type(self.error) is NoPermissionException return self class TestModifyScene: def test_gets_modifies_not_none_params_and_returns_scene(self): TestModifyScene.ScenarioMaker() \ .given_a_logged_person_id() \ .given_a_permissions_validator_that_returns_true() \ .given_an_scene() \ .given_an_scene_repo() \ .given_that_scene_repo_returns_that_scene_on_get() \ .given_an_updated_scene() \ .given_that_scene_repo_returns_that_scene_on_update() \ .given_an_scene_validator_that_accepts() \ .given_an_id() \ .given_a_description() \ .given_a_longitude() \ .when_interactor_is_executed() \ .then_permissions_should_be_validated() \ .then_get_scene_should_be_called_with_id() \ .then_scene_with_new_description_an_longitude_should_be_validated() \ .then_update_scene_should_be_called_with_new_description_an_longitude() \ .then_result_should_be_updated_scene() def test_invalid_scene_returns_error_and_doesnt_update_it(self): TestModifyScene.ScenarioMaker() \ .given_a_logged_person_id() \ .given_a_permissions_validator_that_returns_true() \ .given_an_scene() \ .given_an_scene_repo() \ .given_that_scene_repo_returns_that_scene_on_get() \ .given_an_scene_validator_that_raises_invalid_params() \ .given_an_id() \ .given_a_description() \ .given_a_longitude() \ .when_interactor_is_executed() \ .then_permissions_should_be_validated() \ .then_get_scene_should_be_called_with_id() \ .then_scene_with_new_description_an_longitude_should_be_validated() \ .then_update_scene_should_not_be_called() \ .then_should_raise_invalid_entity_exception() def test_unexistent_scene_returns_entity_does_not_exist_error(self): TestModifyScene.ScenarioMaker() \ .given_a_logged_person_id() \ .given_a_permissions_validator_that_returns_true() \ .given_an_scene_repo_that_raises_entity_does_not_exist() \ .given_an_scene_validator_that_raises_invalid_params() \ .given_an_id() \ .given_a_description() \ .given_a_longitude() \ .when_interactor_is_executed() \ .then_permissions_should_be_validated() \ .then_get_scene_should_be_called_with_id() \ .then_update_scene_should_not_be_called() \ .then_should_raise_entity_does_not_exist() class ScenarioMaker: def given_a_logged_person_id(self): self.logged_person_id = '8' return self def given_a_permissions_validator_that_returns_true(self): self.permissions_validator = Mock() self.permissions_validator.validate_permissions.return_value = True return self def given_a_permissions_validator_that_raises_no_permissions_exception(self): self.permissions_validator = Mock() self.permissions_validator.validate_permissions.side_effect = NoPermissionException() return self def given_an_scene(self): self.scene = Scene(id='1', title='Title', description='some', latitude=1, longitude=0, experience_id=1) return self def given_an_scene_repo(self): self.scene_repo = Mock() return self def given_an_scene_repo_that_raises_entity_does_not_exist(self): self.scene_repo = Mock() self.scene_repo.get_scene.side_effect = EntityDoesNotExistException() return self def given_that_scene_repo_returns_that_scene_on_get(self): self.scene_repo.get_scene.return_value = self.scene return self def given_an_updated_scene(self): self.updated_scene = Scene(id='2', title='T', description='s', latitude=2, longitude=8, experience_id=1) return self def given_that_scene_repo_returns_that_scene_on_update(self): self.scene_repo.update_scene.return_value = self.updated_scene return self def given_an_scene_validator_that_accepts(self): self.scene_validator = Mock() self.scene_validator.validate_scene.return_value = True return self def given_an_scene_validator_that_raises_invalid_params(self): self.scene_validator = Mock() self.scene_validator.validate_scene.side_effect = InvalidEntityException(source='s', code='c', message='m') return self def given_an_id(self): self.id = '6' return self def given_a_description(self): self.description = 'description' return self def given_a_longitude(self): self.longitude = 0 return self def when_interactor_is_executed(self): try: self.result = ModifySceneInteractor(self.scene_repo, self.scene_validator, self.permissions_validator) \ .set_params(id=self.id, title=None, description=self.description, latitude=None, longitude=self.longitude, experience_id=1, logged_person_id=self.logged_person_id).execute() except Exception as e: self.error = e return self def then_permissions_should_be_validated(self): self.permissions_validator.validate_permissions \ .assert_called_once_with(logged_person_id=self.logged_person_id, has_permissions_to_modify_experience=1) return self def then_get_scene_should_be_called_with_id(self): self.scene_repo.get_scene.assert_called_once_with(id=self.id) return self def then_scene_with_new_description_an_longitude_should_be_validated(self): new_scene = Scene(id=self.scene.id, title=self.scene.title, description=self.description, latitude=self.scene.latitude, longitude=self.longitude, experience_id=self.scene.experience_id) self.scene_validator.validate_scene.assert_called_once_with(new_scene) return self def then_update_scene_should_be_called_with_new_description_an_longitude(self): new_scene = Scene(id=self.scene.id, title=self.scene.title, description=self.description, latitude=self.scene.latitude, longitude=self.longitude, experience_id=self.scene.experience_id) self.scene_repo.update_scene.assert_called_once_with(new_scene) return self def then_result_should_be_updated_scene(self): assert self.result == self.updated_scene return self def then_update_scene_should_not_be_called(self): self.scene_repo.update_scene.assert_not_called() return self def then_should_raise_invalid_entity_exception(self): assert type(self.error) is InvalidEntityException assert self.error.source == 's' assert self.error.code == 'c' assert str(self.error) == 'm' return self def then_should_raise_entity_does_not_exist(self): assert type(self.error) is EntityDoesNotExistException return self class TestUploadScenePictureInteractor: def test_validates_permissions_and_attach_picture_to_scene(self): TestUploadScenePictureInteractor.ScenarioMaker() \ .given_a_logged_person_id() \ .given_a_permissions_validator_that_returns_true() \ .given_an_scene() \ .given_an_scene_repo_that_returns_that_scene_on_attach() \ .given_an_scene_id() \ .given_a_picture() \ .when_interactor_is_executed() \ .then_should_validate_permissions() \ .then_should_call_repo_attach_picture_to_scene() \ .then_should_return_scene() def test_invalid_permissions_doesnt_attach_picture(self): TestUploadScenePictureInteractor.ScenarioMaker() \ .given_a_logged_person_id() \ .given_a_permissions_validator_that_raises_no_permissions_exception() \ .given_an_scene_repo() \ .given_an_scene_id() \ .given_a_picture() \ .when_interactor_is_executed() \ .then_should_validate_permissions() \ .then_should_not_call_repo_attach_picture_to_scene() \ .then_should_raise_no_permissions_exception() class ScenarioMaker: def given_a_logged_person_id(self): self.logged_person_id = '9' return self def given_a_permissions_validator_that_returns_true(self): self.permissions_validator = Mock() self.permissions_validator.validate_permissions.return_value = True return self def given_a_permissions_validator_that_raises_no_permissions_exception(self): self.permissions_validator = Mock() self.permissions_validator.validate_permissions.side_effect = NoPermissionException return self def given_an_scene(self): self.scene = Scene(id='2', title='T', description='s', latitude=2, longitude=8, experience_id=1) return self def given_an_scene_repo_that_returns_that_scene_on_attach(self): self.scene_repo = Mock() self.scene_repo.attach_picture_to_scene.return_value = self.scene return self def given_an_scene_repo(self): self.scene_repo = Mock() return self def given_an_scene_id(self): self.scene_id = '5' return self def given_a_picture(self): self.picture = 'pic' return self def when_interactor_is_executed(self): try: interactor = UploadScenePictureInteractor(scene_repo=self.scene_repo, permissions_validator=self.permissions_validator) self.result = interactor.set_params(scene_id=self.scene_id, picture=self.picture, logged_person_id=self.logged_person_id).execute() except Exception as e: self.error = e return self def then_should_validate_permissions(self): self.permissions_validator.validate_permissions \ .assert_called_once_with(logged_person_id=self.logged_person_id, has_permissions_to_modify_scene=self.scene_id) return self def then_should_call_repo_attach_picture_to_scene(self): self.scene_repo.attach_picture_to_scene.assert_called_once_with(scene_id=self.scene_id, picture=self.picture) return self def then_should_return_scene(self): assert self.result == self.scene return self def then_should_not_call_repo_attach_picture_to_scene(self): self.scene_repo.attach_picture_to_scene.assert_not_called() return self def then_should_raise_no_permissions_exception(self): assert type(self.error) is NoPermissionException return self
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7
2ece24c2b098bf97d2546aa13e633ff045598ca4
3,121
py
Python
sphinx/source/doctestmodule.py
jondavid-black/pydocstrtest
c3f8266229885274229622237e7be03730306b31
[ "MIT" ]
null
null
null
sphinx/source/doctestmodule.py
jondavid-black/pydocstrtest
c3f8266229885274229622237e7be03730306b31
[ "MIT" ]
null
null
null
sphinx/source/doctestmodule.py
jondavid-black/pydocstrtest
c3f8266229885274229622237e7be03730306b31
[ "MIT" ]
null
null
null
""" This is a module docstring. This module is used to examine different documentation styles and tools. """ from typing import Tuple def google_style_do_work(task_id: int, name: str) -> Tuple[bool, list]: """ Perform work with task_id by assigning it to name. This doesn't really do anything, but I wanted to establish a short 'first line' description and a longer more detailed descriptions. I'm curious to see if this creates different behavior when generating test or when pop-up hints appear in IDEs. Args: task_id (int): The unique ID of a task to be performed. name (str): The name of the worker to perform the task. Returns: tuple: a tuple containing: - is_successful (bool): True if the work was completed successfully. False if there was a problem. - logs (list of str): Log entries from the worker performing the work. Raises: RuntimeError: if the task doesn't exist or the worker name doesn't exist. """ print(f"assigning task {task_id} to worker {name}.") return True, [] def numpy_style_do_work(task_id: int, name: str) -> Tuple[bool, list]: """ Perform work with task_id by assigning it to name. This doesn't really do anything, but I wanted to establish a short 'first line' description and a longer more detailed descriptions. I'm curious to see if this creates different behavior when generating test or when pop-up hints appear in IDEs. Parameters ---------- task_id : int The unique ID of a task to be performed. name : str, optional The name of the worker to perform the task. Returns ------- tuple: a tuple containing: - is_successful (bool): True if the work was completed successfully. False if there was a problem. - logs (list of str): Log entries from the worker performing the work. Raises ------ RuntimeError If the task doesn't exist or the worker name doesn't exist. """ print(f"assigning task {task_id} to worker {name}.") return True, [] def rst_style_do_work(task_id: int, name: str) -> Tuple[bool, list]: """ Perform work with task_id by assigning it to name. This doesn't really do anything, but I wanted to establish a short 'first line' description and a longer more detailed descriptions. I'm curious to see if this creates different behavior when generating test or when pop-up hints appear in IDEs. :param task_id: The unique ID of a task to be performed. :type task_id: int :param name: The name of the worker to perform the task. :type name: str :returns: tuple (is_successful, log) WHERE bool is_successful is True if the work was completed successfully. False if there was a problem. list log is the log entries from the worker performing the work. """ print(f"assigning task {task_id} to worker {name}.") return True, [] google_style_do_work(3, "Bob") numpy_style_do_work(712, "Chuck") rst_style_do_work(432451, "worker-rgn4-cl823-n2354")
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2c0e00cb4fec1650945ac93edfe0501e3bb209a0
3,312
py
Python
FAIRshakeHub/tests.py
Nitrogen-DCPPC/FAIRshake
af83c1cb82bdd41e6214d23ab6587d5a4c185b11
[ "Apache-2.0" ]
1
2019-04-15T14:02:03.000Z
2019-04-15T14:02:03.000Z
FAIRshakeHub/tests.py
Nitrogen-DCPPC/FAIRshake
af83c1cb82bdd41e6214d23ab6587d5a4c185b11
[ "Apache-2.0" ]
109
2018-05-21T19:45:19.000Z
2019-04-19T12:09:06.000Z
FAIRshakeHub/tests.py
Nitrogen-DCPPC/FAIRshake
af83c1cb82bdd41e6214d23ab6587d5a4c185b11
[ "Apache-2.0" ]
3
2018-08-06T22:09:33.000Z
2018-12-09T18:52:46.000Z
from django.test import TestCase, Client from django.urls import reverse from FAIRshakeAPI import tests, models class ViewsFunctionTestCase(TestCase): setUp = tests.setUp def test_index_view(self): response = self.anonymous_client.get(reverse('index')) self.assertEqual(response.status_code, 200) response = self.authenticated_client.get(reverse('index')) self.assertEqual(response.status_code, 200) def test_search_view(self): response = self.anonymous_client.get(reverse('index'), dict(q='test')) self.assertEqual(response.status_code, 200) response = self.authenticated_client.get(reverse('index'), dict(q='test')) self.assertEqual(response.status_code, 200) def test_bookmarklet_view(self): response = self.anonymous_client.get(reverse('bookmarklet')) self.assertEqual(response.status_code, 200) response = self.authenticated_client.get(reverse('bookmarklet')) self.assertEqual(response.status_code, 200) def test_chrome_extension_view(self): response = self.anonymous_client.get(reverse('chrome_extension')) self.assertEqual(response.status_code, 200) response = self.authenticated_client.get(reverse('chrome_extension')) self.assertEqual(response.status_code, 200) def test_documentation_view(self): response = self.anonymous_client.get(reverse('documentation')) self.assertEqual(response.status_code, 200) response = self.authenticated_client.get(reverse('documentation')) self.assertEqual(response.status_code, 200) def test_jsonschema_documentation_view(self): response = self.anonymous_client.get(reverse('jsonschema_documentation')) self.assertEqual(response.status_code, 200) response = self.authenticated_client.get(reverse('jsonschema_documentation')) self.assertEqual(response.status_code, 200) def test_terms_of_service_view(self): response = self.anonymous_client.get(reverse('terms_of_service')) self.assertEqual(response.status_code, 200) response = self.authenticated_client.get(reverse('terms_of_service')) self.assertEqual(response.status_code, 200) def test_contributors_and_partners_view(self): response = self.anonymous_client.get(reverse('contributors_and_partners')) self.assertEqual(response.status_code, 200) response = self.authenticated_client.get(reverse('contributors_and_partners')) self.assertEqual(response.status_code, 200) def test_project_stats_view(self): item = models.Project.objects.first() for plot in [ 'TablePlot', 'RubricPieChart', 'RubricsInProjectsOverlay', 'DigitalObjectBarBreakdown', 'RubricsByMetricsBreakdown', ]: response = self.anonymous_client.get(reverse('stats'), { 'model': 'project', 'item': item.id, 'plot': plot, }) self.assertEqual(response.status_code, 200) def test_project_stats_view_no_project_id(self): item = models.Project.objects.first() for plot in [ 'TablePlot', 'RubricPieChart', 'RubricsInProjectsOverlay', 'DigitalObjectBarBreakdown', 'RubricsByMetricsBreakdown', ]: response = self.anonymous_client.get(reverse('stats'), { 'model': 'project', 'plot': plot, }) self.assertEqual(response.status_code, 200)
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0.891489
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7
2c2c832b7e160c04873c721959d09980ac69b0ba
113
py
Python
onadata/apps/data_migration/models/__init__.py
qedsoftware/kobocat
273e06a352350d69a8fb4624bcab74d601e35ba6
[ "BSD-2-Clause" ]
1
2019-12-05T14:29:23.000Z
2019-12-05T14:29:23.000Z
onadata/apps/data_migration/models/__init__.py
qedsoftware/kobocat
273e06a352350d69a8fb4624bcab74d601e35ba6
[ "BSD-2-Clause" ]
4
2018-01-20T12:06:00.000Z
2020-01-21T23:13:37.000Z
onadata/apps/data_migration/models/__init__.py
qedsoftware/kobocat
273e06a352350d69a8fb4624bcab74d601e35ba6
[ "BSD-2-Clause" ]
null
null
null
from onadata.apps.data_migration.models.backup import * from onadata.apps.data_migration.models.version import *
37.666667
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25a3a9263ba32fc71211da876925526317567215
11,431
py
Python
tests/test_stream_xep_0313.py
anirudhrata/slixmpp
1fcee0e80a212eeb274d2f560e69099d8a61bf7f
[ "BSD-3-Clause" ]
86
2016-07-04T13:26:02.000Z
2022-02-19T10:26:21.000Z
tests/test_stream_xep_0313.py
anirudhrata/slixmpp
1fcee0e80a212eeb274d2f560e69099d8a61bf7f
[ "BSD-3-Clause" ]
10
2016-09-30T18:55:41.000Z
2020-05-01T14:22:47.000Z
tests/test_stream_xep_0313.py
anirudhrata/slixmpp
1fcee0e80a212eeb274d2f560e69099d8a61bf7f
[ "BSD-3-Clause" ]
45
2016-09-30T18:48:41.000Z
2022-03-18T21:39:33.000Z
import unittest from datetime import datetime from slixmpp.test import SlixTest from slixmpp import JID class TestMAM(SlixTest): def setUp(self): self.stream_start(plugins=['xep_0313']) def tearDown(self): self.stream_close() def testRetrieveSimple(self): """Test requesting MAM messages without RSM""" msgs = [] async def test(): iq = await self.xmpp['xep_0313'].retrieve() for message in iq['mam']['results']: msgs.append(message) fut = self.xmpp.wrap(test()) self.wait_() self.send(""" <iq type='set' id='1'> <query xmlns='urn:xmpp:mam:2' queryid='1' /> </iq> """) self.recv(""" <message id='abc' to='tester@localhost/resource'> <result xmlns='urn:xmpp:mam:2' queryid='1' id='28482-98726-73623'> <forwarded xmlns='urn:xmpp:forward:0'> <delay xmlns='urn:xmpp:delay' stamp='2010-07-10T23:08:25Z'/> <message xmlns='jabber:client' from="witch@shakespeare.lit" to="tester@localhost"> <body>Hail to thee</body> </message> </forwarded> </result> </message> """) self.recv(""" <iq type="result" id="1" to="tester@localhost"> <fin xmlns="urn:xmpp:mam:2"> <first index='0'>28482-98726-73623</first> <last>28482-98726-73623</last> </fin> </iq> """) self.run_coro(fut) self.assertEqual( msgs[0]['mam_result']['forwarded']['message']['body'], "Hail to thee", ) self.assertEqual(len(msgs),1) def testRetrieveRSM(self): """Test requesting MAM messages with RSM""" msgs = [] async def test(): iterator = self.xmpp['xep_0313'].retrieve( with_jid=JID('toto@titi'), start='2010-06-07T00:00:00Z', iterator=True, ) async for page in iterator: for message in page['mam']['results']: msgs.append(message) fut = self.xmpp.wrap(test()) self.wait_() self.send(""" <iq type='set' id='2'> <query xmlns='urn:xmpp:mam:2' queryid='2'> <x xmlns='jabber:x:data' type='submit'> <field var='FORM_TYPE' type='hidden'> <value>urn:xmpp:mam:2</value> </field> <field var='with'> <value>toto@titi</value> </field> <field var='start'> <value>2010-06-07T00:00:00Z</value> </field> </x> <set xmlns="http://jabber.org/protocol/rsm"> <max>10</max> </set> </query> </iq> """) self.recv(""" <message id='abc' to='tester@localhost/resource'> <result xmlns='urn:xmpp:mam:2' queryid='2' id='28482-98726-73623'> <forwarded xmlns='urn:xmpp:forward:0'> <delay xmlns='urn:xmpp:delay' stamp='2010-07-10T23:08:25Z'/> <message xmlns='jabber:client' from="witch@shakespeare.lit" to="tester@localhost"> <body>Hail to thee</body> </message> </forwarded> </result> </message> """) self.recv(""" <iq type="result" id="2" to="tester@localhost"> <fin xmlns="urn:xmpp:mam:2"> <set xmlns='http://jabber.org/protocol/rsm'> <first index='0'>28482-98726-73623</first> <last>28482-98726-73623</last> <count>2</count> </set> </fin> </iq> """) self.send(""" <iq type='set' id='3'> <query xmlns='urn:xmpp:mam:2' queryid='3'> <x xmlns='jabber:x:data' type='submit'> <field var='FORM_TYPE' type='hidden'> <value>urn:xmpp:mam:2</value> </field> <field var='with'> <value>toto@titi</value> </field> <field var='start'> <value>2010-06-07T00:00:00Z</value> </field> </x> <set xmlns="http://jabber.org/protocol/rsm"> <max>10</max> <after>28482-98726-73623</after> </set> </query> </iq> """) self.recv(""" <message id='abc' to='tester@localhost/resource'> <result xmlns='urn:xmpp:mam:2' queryid='3' id='28482-98726-73624'> <forwarded xmlns='urn:xmpp:forward:0'> <delay xmlns='urn:xmpp:delay' stamp='2010-07-10T23:08:26Z'/> <message xmlns='jabber:client' from="witch@shakespeare.lit" to="tester@localhost"> <body>Hi Y'all</body> </message> </forwarded> </result> </message> """) self.recv(""" <iq type="result" id="3" to="tester@localhost"> <fin xmlns="urn:xmpp:mam:2"> <set xmlns='http://jabber.org/protocol/rsm'> <first index='1'>28482-98726-73624</first> <last>28482-98726-73624</last> <count>2</count> </set> </fin> </iq> """) self.run_coro(fut) self.assertEqual( msgs[0]['mam_result']['forwarded']['message']['body'], "Hail to thee", ) self.assertEqual( msgs[1]['mam_result']['forwarded']['message']['body'], "Hi Y'all", ) self.assertEqual(len(msgs), 2) def testIterate(self): """Test iterating over MAM messages with RSM""" msgs = [] async def test(): iterator = self.xmpp['xep_0313'].iterate( with_jid=JID('toto@titi'), start='2010-06-07T00:00:00Z', ) async for message in iterator: msgs.append(message) fut = self.xmpp.wrap(test()) self.wait_() self.send(""" <iq type='set' id='2'> <query xmlns='urn:xmpp:mam:2' queryid='2'> <x xmlns='jabber:x:data' type='submit'> <field var='FORM_TYPE' type='hidden'> <value>urn:xmpp:mam:2</value> </field> <field var='with'> <value>toto@titi</value> </field> <field var='start'> <value>2010-06-07T00:00:00Z</value> </field> </x> <set xmlns="http://jabber.org/protocol/rsm"> <max>10</max> </set> </query> </iq> """) self.recv(""" <message id='abc' to='tester@localhost/resource'> <result xmlns='urn:xmpp:mam:2' queryid='2' id='28482-98726-73623'> <forwarded xmlns='urn:xmpp:forward:0'> <delay xmlns='urn:xmpp:delay' stamp='2010-07-10T23:08:25Z'/> <message xmlns='jabber:client' from="witch@shakespeare.lit" to="tester@localhost"> <body>Hail to thee</body> </message> </forwarded> </result> </message> """) self.recv(""" <iq type="result" id="2" to="tester@localhost"> <fin xmlns="urn:xmpp:mam:2"> <set xmlns='http://jabber.org/protocol/rsm'> <first index='0'>28482-98726-73623</first> <last>28482-98726-73623</last> <count>2</count> </set> </fin> </iq> """) self.send(""" <iq type='set' id='3'> <query xmlns='urn:xmpp:mam:2' queryid='3'> <x xmlns='jabber:x:data' type='submit'> <field var='FORM_TYPE' type='hidden'> <value>urn:xmpp:mam:2</value> </field> <field var='with'> <value>toto@titi</value> </field> <field var='start'> <value>2010-06-07T00:00:00Z</value> </field> </x> <set xmlns="http://jabber.org/protocol/rsm"> <max>10</max> <after>28482-98726-73623</after> </set> </query> </iq> """) self.recv(""" <message id='abc' to='tester@localhost/resource'> <result xmlns='urn:xmpp:mam:2' queryid='3' id='28482-98726-73624'> <forwarded xmlns='urn:xmpp:forward:0'> <delay xmlns='urn:xmpp:delay' stamp='2010-07-10T23:08:26Z'/> <message xmlns='jabber:client' from="witch@shakespeare.lit" to="tester@localhost"> <body>Hi Y'all</body> </message> </forwarded> </result> </message> """) self.recv(""" <iq type="result" id="3" to="tester@localhost"> <fin xmlns="urn:xmpp:mam:2"> <set xmlns='http://jabber.org/protocol/rsm'> <first index='1'>28482-98726-73624</first> <last>28482-98726-73624</last> <count>2</count> </set> </fin> </iq> """) self.run_coro(fut) self.assertEqual( msgs[0]['mam_result']['forwarded']['message']['body'], "Hail to thee", ) self.assertEqual( msgs[1]['mam_result']['forwarded']['message']['body'], "Hi Y'all", ) self.assertEqual(len(msgs), 2) def test_get_metadata(self): """Test a MAM metadata retrieval""" fut = self.xmpp.wrap( self.xmpp.plugin['xep_0313'].get_archive_metadata() ) self.wait_() self.send(""" <iq type='get' id='1'> <metadata xmlns='urn:xmpp:mam:2'/> </iq> """) self.recv(""" <iq type='result' id='1'> <metadata xmlns='urn:xmpp:mam:2'> <start id='YWxwaGEg' timestamp='2008-08-22T21:09:04Z' /> <end id='b21lZ2Eg' timestamp='2020-04-20T14:34:21Z' /> </metadata> </iq> """) self.run_coro(fut) result = fut.result() self.assertEqual(result['mam_metadata']['start']['id'], "YWxwaGEg") self.assertEqual( result['mam_metadata']['start']['timestamp'], datetime.fromisoformat('2008-08-22T21:09:04+00:00') ) suite = unittest.TestLoader().loadTestsFromTestCase(TestMAM)
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8
25c7f7918d6b3fad012e81500fc9f003551d9dab
121
py
Python
py/projects/qaviton_tests/tests/utils/drivers.py
qaviton/test_repository
e9bf1bb12a138c6d92329ca4784f40767cb2ace9
[ "Apache-2.0" ]
7
2018-11-20T15:44:27.000Z
2021-01-01T11:08:49.000Z
py/projects/qaviton_tests/tests/utils/drivers.py
Yativg/test_repository
7e5c018034d7bdf6a657325ef4fc34c13fdec2a7
[ "Apache-2.0" ]
114
2018-11-17T20:55:24.000Z
2022-03-11T23:34:09.000Z
py/projects/qaviton_tests/tests/utils/drivers.py
Yativg/test_repository
7e5c018034d7bdf6a657325ef4fc34c13fdec2a7
[ "Apache-2.0" ]
4
2018-11-20T15:56:11.000Z
2019-03-05T19:18:33.000Z
from appium import webdriver def get(driver_url, desired_caps): return webdriver.Remote(driver_url, desired_caps)
17.285714
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0.793388
17
121
5.411765
0.705882
0.195652
0.347826
0.434783
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7
d357ce130c3c95ba7ce626af3fed81266447fbf6
5,345
py
Python
elasticsearch_ltr/ltr.py
rpyleonard/elasticsearch-ltr-py
344300279e7a4a7c1741a6c8077efb39611eff71
[ "MIT" ]
8
2020-03-13T14:05:57.000Z
2021-07-25T14:04:30.000Z
elasticsearch_ltr/ltr.py
rpyleonard/elasticsearch-ltr-py
344300279e7a4a7c1741a6c8077efb39611eff71
[ "MIT" ]
2
2020-03-16T20:16:06.000Z
2020-03-31T09:59:35.000Z
elasticsearch_ltr/ltr.py
rpyleonard/elasticsearch-ltr-py
344300279e7a4a7c1741a6c8077efb39611eff71
[ "MIT" ]
2
2020-03-31T08:40:12.000Z
2020-07-08T19:44:31.000Z
from typing import Optional, Any from elasticsearch.client.utils import AddonClient, query_params, _make_path class LTRClient(AddonClient): """ Add-on for Learning to Rank plugin API. `<https://elasticsearch-learning-to-rank.readthedocs.io/>`_ """ namespace = "ltr" @query_params() def create_feature_store(self, name: Optional[str] = None, params=None, headers=None): self.transport.perform_request("PUT", _make_path("_ltr", name), params=params, headers=headers) @query_params() def delete_feature_store(self, name: Optional[str] = None, params=None, headers=None): self.transport.perform_request("DELETE", _make_path("_ltr", name), params=params, headers=headers) @query_params() def list_feature_stores(self, params=None, headers=None): return self.transport.perform_request("GET", _make_path("_ltr"), params=params, headers=headers) @query_params() def create_feature_set(self, name: str, body: Any, store_name: Optional[str] = None, params=None, headers=None): self.transport.perform_request( "POST", _make_path("_ltr", store_name, "_featureset", name), body=body, params=params, headers=headers) @query_params() def delete_feature_set(self, name: str, store_name: Optional[str] = None, params=None, headers=None): self.transport.perform_request( "DELETE", _make_path("_ltr", store_name, "_featureset", name), params=params, headers=headers) @query_params() def get_feature_set(self, name: str, store_name: Optional[str] = None, params=None, headers=None): return self.transport.perform_request( "GET", _make_path("_ltr", store_name, "_featureset", name), params=params, headers=headers) @query_params("prefix") def list_feature_sets(self, store_name: Optional[str] = None, params=None, headers=None): return self.transport.perform_request( "GET", _make_path("_ltr", store_name, "_featureset"), params=params, headers=headers) @query_params() def add_features_to_feature_set(self, name: str, body: Any, store_name: Optional[str] = None, params=None, headers=None): self.transport.perform_request( "POST", _make_path("_ltr", store_name, "_featureset", name, "_addfeatures"), body=body, params=params, headers=headers) @query_params() def add_feature_to_feature_set(self, name: str, feature_name: str, store_name: Optional[str] = None, params=None, headers=None): self.transport.perform_request( "POST", _make_path("_ltr", store_name, "_featureset", name, "_addfeatures", feature_name), params=params, headers=headers) @query_params() def create_model(self, name: str, body: Any, feature_set_name: str, store_name: Optional[str] = None, params=None, headers=None): self.transport.perform_request( "POST", _make_path("_ltr", store_name, "_featureset", feature_set_name, "_createmodel"), body=body, params=params, headers=headers) @query_params() def delete_model(self, name: str, store_name: Optional[str] = None, params=None, headers=None): self.transport.perform_request( "DELETE", _make_path("_ltr", store_name, "_model", name), params=params, headers=headers) @query_params() def get_model(self, name: str, store_name: Optional[str] = None, params=None, headers=None): return self.transport.perform_request( "GET", _make_path("_ltr", store_name, "_model", name), params=params, headers=headers) @query_params("prefix") def list_models(self, store_name: Optional[str] = None, params=None, headers=None): return self.transport.perform_request( "GET", _make_path("_ltr", store_name, "_model"), params=params, headers=headers) @query_params() def create_feature(self, name: str, body: Any, store_name: Optional[str] = None, params=None, headers=None): self.transport.perform_request( "POST", _make_path("_ltr", store_name, "_feature", name), body=body, params=params, headers=headers) @query_params() def delete_feature(self, name: str, store_name: Optional[str] = None, params=None, headers=None): self.transport.perform_request( "DELETE", _make_path("_ltr", store_name, "_feature", name), params=params, headers=headers) @query_params() def get_feature(self, name: str, store_name: Optional[str] = None, params=None, headers=None): return self.transport.perform_request( "GET", _make_path("_ltr", store_name, "_feature", name), params=params, headers=headers) @query_params("prefix") def list_features(self, store_name: Optional[str] = None, params=None, headers=None): return self.transport.perform_request("GET", _make_path("_ltr", store_name, "_feature"), params=params, headers=headers) @query_params() def clear_cache(self, store_name: Optional[str] = None, params=None, headers=None): self.transport.perform_request("POST", _make_path("_ltr", store_name, "_clearcache"), params=params, headers=headers) @query_params() def get_cache_stats(self, store_name: Optional[str] = None, params=None, headers=None): return self.transport.perform_request("GET", _make_path("_ltr", store_name, "_cachestats"), params=params, headers=headers)
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8
6c96641fc4346d1c3543098cedf9a1c5ff818523
12,474
py
Python
src/textfilters.py
martinpflaum/latex_to_html
65096594cb0891e56954627dc0abeb09bae6d2b1
[ "MIT" ]
6
2021-11-13T15:10:15.000Z
2022-01-21T14:08:26.000Z
src/textfilters.py
martinpflaum/latex_to_html
65096594cb0891e56954627dc0abeb09bae6d2b1
[ "MIT" ]
9
2021-07-11T13:18:13.000Z
2021-09-21T22:02:11.000Z
src/textfilters.py
martinpflaum/latex_to_html
65096594cb0891e56954627dc0abeb09bae6d2b1
[ "MIT" ]
1
2021-11-13T15:22:47.000Z
2021-11-13T15:22:47.000Z
from core import * class Para(SectionEnumerate): def __init__(self,modifiable_content,section_number,parent): super().__init__(modifiable_content,parent,"para","section") self.section_number = section_number def label_name(self): return self.get_section_enum()[:-1] def to_string(self): """ first children ist name of Section """ out = "<br><br><strong>"+ self.get_section_enum()[:-1]+"</strong>" return out @staticmethod def position(input): return position_of(input,"\\para") @staticmethod def split_and_create(input,parent): pre,post = split_on_next(input,"\\para") section_number = parent.search_class(SectionEnumerate).generate_child_section_number() return pre,Para("",section_number,parent),post class Chapter(SectionEnumerate): def __init__(self,modifiable_content,section_name,section_number,parent): super().__init__(modifiable_content,parent,"chapter","document") self.children = [Undefined(section_name,self)] self.section_number = section_number @staticmethod def position(input): return position_of(input,"\\chapter") @staticmethod def split_and_create(input,parent): pre,content = split_on_next(input,"\\chapter") section_number = parent.search_class(SectionEnumerate).generate_child_section_number() name,content = split_on_first_brace(content,error_replacement="chapter_error") if "\\chapter" in content: content,post = split_on_next(content,"\\chapter") post = "\\chapter" + post else: post = "" return pre,Chapter(content,name,section_number,parent),post def to_string(self): """ first children ist name of Section """ out = "</p><h1 style='font-size:50px;line-height: 80%;'>" + str(self.section_number) + " "+ self.children[0].to_string() + "</h1><p>" for child in self.children[1:]: out += child.to_string() #print("out ",out) return out class ChapterStar(Element): prio_elem =True def __init__(self,modifiable_content,section_name,parent): super().__init__(modifiable_content,parent) self.children = [Undefined(section_name,self)] @staticmethod def position(input): return position_of(input,"\\chapter*") @staticmethod def split_and_create(input,parent): pre,content = split_on_next(input,"\\chapter*") name,content = split_on_first_brace(content) if "\\chapter" in content: content,post = split_on_next(content,"\\chapter") post = "\\chapter" + post else: post = "" return pre,ChapterStar(content,name,parent),post def to_string(self): """ first children ist name of Section """ out = "</p><h1 style='font-size:50px;line-height: 80%;'>" + self.children[0].to_string() + "</h1><p>" for child in self.children[1:]: out += child.to_string() #print("out ",out) return out class SectionStar(Element): prio_elem =True def __init__(self,modifiable_content,section_name,parent): super().__init__(modifiable_content,parent) self.children = [Undefined(section_name,self)] @staticmethod def position(input): return position_of(input,"\\section*") @staticmethod def split_and_create(input,parent): pre,content = split_on_next(input,"\\section*") name,content = split_on_first_brace(content) if "\\section" in content: content,post = split_on_next(content,"\\section") post = "\\section" + post else: post = "" return pre,SectionStar(content,name,parent),post def to_string(self): """ first children ist name of Section """ out = "</p><h1>" + self.children[0].to_string() + "</h1><p>" for child in self.children[1:]: out += child.to_string() #print("out ",out) return out class Subsection(SectionEnumerate): def __init__(self,modifiable_content,section_name,section_number,parent): super().__init__(modifiable_content,parent,"subsection",["section"]) self.children = [Undefined(section_name,self)] self.section_number = section_number @staticmethod def position(input): return position_of(input,"\\subsection") @staticmethod def split_and_create(input,parent): pre,content = split_on_next(input,"\\subsection") section_number = parent.search_class(SectionEnumerate).generate_child_section_number() name,content = split_on_first_brace(content) if "\\subsection" in content: content,post = split_on_next(content,"\\subsection") post = "\\subsection" + post else: post = "" return pre,Section(content,name,section_number,parent),post def to_string(self): """ first children ist name of Section """ out = "</p><h2>" + self.get_section_enum()[:-1] + " "+ self.children[0].to_string() + "</h2><p>" for child in self.children[1:]: out += child.to_string() #print("out ",out) return out class Section(SectionEnumerate): def __init__(self,modifiable_content,section_name,section_number,parent): super().__init__(modifiable_content,parent,"section",["chapter","document"]) self.children = [Undefined(section_name,self)] self.section_number = section_number @staticmethod def position(input): return position_of(input,"\\section") @staticmethod def split_and_create(input,parent): pre,content = split_on_next(input,"\\section") section_number = parent.search_class(SectionEnumerate).generate_child_section_number() name,content = split_on_first_brace(content) if "\\section" in content: content,post = split_on_next(content,"\\section") post = "\\section" + post else: post = "" return pre,Section(content,name,section_number,parent),post def to_string(self): """ first children ist name of Section """ out = "</p><h1>" + self.get_section_enum()[:-1] + " "+ self.children[0].to_string() + "</h1><p>" for child in self.children[1:]: out += child.to_string() #print("out ",out) return out class SubsectionStar(Element): prio_elem = True def __init__(self,modifiable_content,parent): super().__init__(modifiable_content,parent) @staticmethod def position(input): return position_of(input,"\\subsection*") @staticmethod def split_and_create(input,parent): pre,post = split_on_next(input,"\\subsection*") name,post = split_on_first_brace(post) return pre,SubsectionStar(name,parent),post def to_string(self): out = "</p><h2>" for child in self.children: out += child.to_string() out += "</h2><p>" return out class Label(Element): def __init__(self, modifiable_content, parent,label_ref): super().__init__(modifiable_content, parent) if not hasattr(self.search_class(Document).globals,"labels"): self.search_class(Document).globals.labels = {} holder = self.search_attribute_holder("label_name") label_name = "label_error" if not holder is None: label_name = holder.label_name() self.search_class(Document).globals.labels[label_ref] = label_name @staticmethod def position(input): return position_of(input,"\\label") @staticmethod def split_and_create(input,parent): pre,post = split_on_next(input,"\\label") label_ref,post = split_on_first_brace(post) return pre,Label("",parent,label_ref),post def to_string(self): return "" class Ref(Element): def __init__(self, modifiable_content, parent,label_ref): super().__init__(modifiable_content, parent) try: self.label_name = self.search_class(Document).globals.labels[label_ref] except Exception: self.label_name = "ref_error" @staticmethod def position(input): return position_of(input,"\\ref") @staticmethod def split_and_create(input,parent): pre,post = split_on_next(input,"\\ref") label_ref,post = split_on_first_brace(post) return pre,Ref("",parent,label_ref),post def to_string(self): return self.label_name class EqRef(Element): def __init__(self, modifiable_content, parent,label_ref): super().__init__(modifiable_content, parent) try: self.label_name = self.search_class(Document).globals.labels[label_ref] except Exception: self.label_name = "ref_error" @staticmethod def position(input): return position_of(input,"\\eqref") @staticmethod def split_and_create(input,parent): pre,post = split_on_next(input,"\\eqref") label_ref,post = split_on_first_brace(post) return pre,Ref("",parent,label_ref),post def to_string(self): return self.label_name class Proof(Element): def __init__(self,modifiable_content,parent): self.name = "Proof" if not split_rename(modifiable_content) is None: self.name,modifiable_content = split_rename(modifiable_content) self.name += "." super().__init__(modifiable_content,parent) @staticmethod def position(input): if "\\begin{proof}" in input: return position_of(input,"\\begin{proof}") else: return -1 @staticmethod def split_and_create(input,parent): pre,content,post = begin_end_split(input,"\\begin{proof}","\\end{proof}") return pre,Proof(content,parent),post def to_string(self): out = f"<br><i>{self.name}</i>" for child in self.children: #print(type(child)) out += child.to_string() return out class Textbf(Element): def __init__(self,modifiable_content,parent): super().__init__(modifiable_content,parent) @staticmethod def position(input): return position_of(input,"\\textbf") @staticmethod def split_and_create(input,parent): pre,post = split_on_next(input,"\\textbf") name,post = split_on_first_brace(post) return pre,Textbf(name,parent),post def to_string(self): out = "<strong>" for child in self.children: out += child.to_string() out += "</strong>" return out class Cite(Element): def __init__(self,modifiable_content,parent,citations): super().__init__(modifiable_content,parent) self.citations = citations @staticmethod def position(input): return position_of(input,"\\cite") @staticmethod def split_and_create(input,parent): pre,post = split_on_next(input,"\\cite") name,post = split_on_first_brace(post) tmp = "" for elem in name.split(" "): tmp += elem citations = tmp.split(",") return pre,Cite("",parent,citations),post def to_string(self): out = "" for elem in self.citations: out += "<dt-cite key=\"" + elem +"\"></dt-cite>" return out class Emph(Element): def __init__(self,modifiable_content,parent): super().__init__(modifiable_content,parent) @staticmethod def position(input): return position_of(input,"\\emph") @staticmethod def split_and_create(input,parent): pre,post = split_on_next(input,"\\emph") name,post = split_on_first_brace(post) return pre,Emph(name,parent),post def to_string(self): out = "<i>" for child in self.children: out += child.to_string() out += "</i>" return out def get_all_textfilters(): return [SectionStar,Chapter,Section,ChapterStar,Para,SubsectionStar,Proof,Emph,Textbf]
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7
6c9c04126ec999392eabba6c79a450fa6839578f
6,956
py
Python
classes/user_agents.py
eklipse2009/ZX-Pokemaster
113bf2e242347b475cca9eadbae4f1b67f498466
[ "MIT" ]
8
2018-11-18T00:37:25.000Z
2020-12-06T13:17:53.000Z
classes/user_agents.py
eklipse2009/ZX-Pokemaster
113bf2e242347b475cca9eadbae4f1b67f498466
[ "MIT" ]
8
2017-08-21T10:07:58.000Z
2020-03-29T18:23:37.000Z
classes/user_agents.py
eklipse2009/ZX-Pokemaster
113bf2e242347b475cca9eadbae4f1b67f498466
[ "MIT" ]
1
2021-03-04T17:43:36.000Z
2021-03-04T17:43:36.000Z
USER_AGENTS = [ 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/55.0.2883.87 Safari/537.36', 'Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/55.0.2883.87 Safari/537.36', 'Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/55.0.2883.87 Safari/537.36', 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_12_2) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/55.0.2883.95 Safari/537.36', 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_12_2) AppleWebKit/602.3.12 (KHTML, like Gecko) Version/10.0.2 Safari/602.3.12', 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_11_6) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/55.0.2883.95 Safari/537.36', 'Mozilla/5.0 (Windows NT 10.0; WOW64; rv:50.0) Gecko/20100101 Firefox/50.0', 'Mozilla/5.0 (Windows NT 6.1; WOW64; rv:50.0) Gecko/20100101 Firefox/50.0', 'Mozilla/5.0 (Windows NT 6.1; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/55.0.2883.87 Safari/537.36', 'Mozilla/5.0 (X11; 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CPU iPhone OS 10_2 like Mac OS X) AppleWebKit/602.3.12 (KHTML, like Gecko) Version/10.0 Mobile/14C92 Safari/602.1', 'Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/55.0.2883.75 Safari/537.36', 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_9_5) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/55.0.2883.95 Safari/537.36', 'Mozilla/5.0 (Windows NT 6.1; WOW64; rv:45.0) Gecko/20100101 Firefox/45.0', 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_11_6) AppleWebKit/601.7.7 (KHTML, like Gecko) Version/9.1.2 Safari/601.7.7', 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_12) AppleWebKit/602.1.50 (KHTML, like Gecko) Version/10.0 Safari/602.1.50', 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_11_6) AppleWebKit/602.2.14 (KHTML, like Gecko) Version/10.0.1 Safari/602.2.14', 'Mozilla/5.0 (Windows NT 6.3; WOW64; Trident/7.0; rv:11.0) like Gecko', 'Mozilla/5.0 (X11; Fedora; Linux x86_64; rv:50.0) Gecko/20100101 Firefox/50.0', 'Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/54.0.2840.99 Safari/537.36', 'Mozilla/5.0 (X11; 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Intel Mac OS X 10_12_1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/54.0.2840.98 Safari/537.36', 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_10_3) AppleWebKit/600.5.17 (KHTML, like Gecko) Version/8.0.5 Safari/600.5.17', 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/46.0.2486.0 Safari/537.36 Edge/13.10586', 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_11_4) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/55.0.2883.95 Safari/537.36' ]
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103.820896
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10
6cce33a5043b2429e9281ae16dfd19a9cd1183de
2,057
py
Python
src/pythonFEA/tests/unit/structure/test_node.py
honzatomek/pythonFEA
c851c20800a06cc2084ef53dfd2ab67e7dfbc3b7
[ "MIT" ]
null
null
null
src/pythonFEA/tests/unit/structure/test_node.py
honzatomek/pythonFEA
c851c20800a06cc2084ef53dfd2ab67e7dfbc3b7
[ "MIT" ]
null
null
null
src/pythonFEA/tests/unit/structure/test_node.py
honzatomek/pythonFEA
c851c20800a06cc2084ef53dfd2ab67e7dfbc3b7
[ "MIT" ]
null
null
null
from templates.errors import * from structure.node import * from templates import logs import defaults import pytest import numpy as np logger = logging.getLogger() logger.disabled = True logging.disable(logging.FATAL) class TestNode2D: def test_init(self): id = 1 x = 0.0 y = 1.0 label = 'test ' + str(id) n = Node2D(id, [x, y], label) assert n.id == id assert n.x == x assert n.y == y assert n.label == label def test_init2(self): id = 0 x = 0.0 y = 1.0 label = 'test ' + str(id) with pytest.raises(NotValidID): n = Node2D(id, [x, y], label) def test_coors(self): id = 1 x = 1.0 y = 2.0 coors = np.asarray([x, y], dtype=defaults.DEFAULT_FLOAT) label = 'test ' + str(id) n = Node2D(id, [x, y], label) assert n.coors.any() == coors.any() def test_coors2(self): id = 1 x = 1.0 y = 2.0 coors = np.asarray([x + 1.0, y + 2.0], dtype=defaults.DEFAULT_FLOAT) label = 'test ' + str(id) n = Node2D(id, [x, y], label) n.coors = coors assert n.coors.any() == coors.any() class TestNode: def test_init(self): id = 1 x = 0.0 y = 1.0 z = 2.0 label = 'test ' + str(id) n = Node(id, [x, y, z], label) assert n.id == id assert n.x == x assert n.y == y assert n.z == z assert n.label == label def test_init2(self): id = 0 x = 0.0 y = 1.0 z = 2.0 label = 'test ' + str(id) with pytest.raises(NotValidID): n = Node(id, [x, y, z], label) def test_coors(self): id = 1 x = 1.0 y = 2.0 z = 3.0 coors = np.asarray([x, y, z], dtype=defaults.DEFAULT_FLOAT) label = 'test ' + str(id) n = Node(id, [x, y, z], label) assert n.coors.any() == coors.any() def test_coors2(self): id = 1 x = 1.0 y = 2.0 z = 3.0 coors = np.asarray([x + 1.0, y + 2.0, z + 3.0], dtype=defaults.DEFAULT_FLOAT) label = 'test ' + str(id) n = Node(id, [x, y, z], label) n.coors = coors assert n.coors.any() == coors.any()
21.206186
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0.143678
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0.798541
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0.788514
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0.095238
false
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0.071429
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0
0
0
0
0
0
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7
9f1542b38445377d415081d1c338eb92d2b8f554
68
py
Python
functional/do_map.py
LaurenceYang/learn-python
819994039abd3af298f73b1a73976eaa95071096
[ "Apache-2.0" ]
2
2018-01-20T03:38:58.000Z
2019-07-21T11:33:24.000Z
functional/do_map.py
LaurenceYang/learn-python
819994039abd3af298f73b1a73976eaa95071096
[ "Apache-2.0" ]
null
null
null
functional/do_map.py
LaurenceYang/learn-python
819994039abd3af298f73b1a73976eaa95071096
[ "Apache-2.0" ]
null
null
null
def f(x): return x * x print(list(map(f, [1,2,3,4,5,6,7,8,9])))
17
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0.514706
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1.842105
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4
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0.333333
false
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0
0
1
1
0
0
7
9f83e7ffe53875013995e7465d79686e614baba7
8,352
py
Python
online_util/online_decompilation.py
SOLINSIGHT/solinsight
b0398c48e33a1f43a2ec4528477cc07e0b692bd6
[ "Apache-2.0" ]
null
null
null
online_util/online_decompilation.py
SOLINSIGHT/solinsight
b0398c48e33a1f43a2ec4528477cc07e0b692bd6
[ "Apache-2.0" ]
1
2021-12-18T08:44:43.000Z
2021-12-18T08:44:43.000Z
online_util/online_decompilation.py
SOLINSIGHT/solinsight
b0398c48e33a1f43a2ec4528477cc07e0b692bd6
[ "Apache-2.0" ]
null
null
null
import json import time import os import csv from online_util.http_get import http_get from online_util.parse_html import parsehtml from tool.save_file import save_to_file from tool.write_list_to_json import write_list_to_json def online_decompilation_main3(online_decompiler_result_save_file,solidity_code_result,opcode_result,html_path,path): """ :param online_decompiler_result_save_file: Store all the contract information in the name result.json, and then save it in this folder :param solidity_code_result: The address of the folder where the source code of the contract obtained by parsing the file is stored :param opcode_result: The operation code of the contract obtained by parsing the address of the folder that should be stored :param html_path: Store the html file in this folder, read the html file in the html folder for analysis :param path: All address information is stored in this path :return: """ list = [] list2 = [] all_num = 0 time_out = 0 s = set() with open("", 'r') as f:# read vul csv file all_vul_num = 0 reader = csv.reader(f) column = [row[1] for row in reader] for i in column: s.add(i) for j in s: all_num =all_num +1 print(all_num) url = j dict = {"address": url} dict["parse_lose"] = False dict["parse_timeout_information"] = "" start = time.time() try: http_get(url, html_path) # Get the address of the contract, crawl the content of the contract at that address, and then store the web page in the address of a folder in html_path except Exception as e: time_out = time_out + 1 list2.append(url) print(e) pass continue # dict["parsetime"] = 0 # dict["size"] str1, str2 = parsehtml(url, html_path) # Parse the html file corresponding to the contract if (str1 == ""): dict["parse_lose"] = True dict["parse_information"] = "parse html fail~!" end = time.time() dict["parsetime"] = end - start dict["size"] = len(str1) # print("url",url) # print(end-start) save_to_file(solidity_code_result + url + ".sol", str1) save_to_file(opcode_result + url + ".txt", str2) list.append(dict) # Save the acquired contract information in the list, and then save the list in a file write_list_to_json(list, result_json_name, online_decompiler_result_save_file) return all_num, time_out, list2 # Write the list into a file, the list contains all the information obtained by the parsed contract, and then save it in a folder named result.json def online_decompilation_main(result_path,path): """ :param online_decompiler_result_save_file: Store all the contract information in the name result.json, and then save it in this folder :param solidity_code_result: The address of the folder where the source code of the contract obtained by parsing the file is stored :param opcode_result: The operation code of the contract obtained by parsing the address of the folder that should be stored :param html_path: Store the html file in this folder, read the html file in the html folder for analysis :param path: All address information is stored in this path :return: """ # url = input("please input the contract tx:") # url = sys.argv[0] online_decompiler_result_save_file = result_path +"result/" solidity_code_result = result_path + "source_code_path/" opcode_result = result_path + "opcode_path/" html_path = result_path + "html_path/" f = open(path, ) data = json.load(f) # data is a list, and each list is a dictionary, which forms the json format all_num = 0 time_out = 0 list = [] l1 = path.split("/") list2 = [] result_json_name = l1[-1] for i in data: print(all_num,end=' ') all_num = all_num+1 url = i.get("address") dict = {"address":url} dict["tx_count"] = i.get("tx_count") dict["parse_lose"] = False dict["parse_timeout_information"] = "" start = time.time() try: http_get(url,html_path) # Get the address of the contract, crawl the content of the contract at that address, and then store the web page in the address of a folder in html_path except Exception as e: time_out = time_out + 1 list2.append(url) print(e) pass continue # dict["parsetime"] = 0 # dict["size"] str1, str2 = parsehtml(url,html_path) # Parse the html file corresponding to the contract if(str1==""): dict["parse_lose"] = True dict["parse_information"] = "parse html fail~!" end = time.time() dict["parsetime"] = end - start dict["size"] = len(str1) # print("url",url) # print(end-start) save_to_file(solidity_code_result + url + ".sol", str1) save_to_file(opcode_result + url + ".txt", str2) list.append(dict) # Save the acquired contract information in the list, and then save the list in a file write_list_to_json(list,result_json_name ,online_decompiler_result_save_file) return all_num,time_out,list2 # Write the list into a file, the list contains all the information obtained by the parsed contract, and then save it in a folder named result.json def online_decompilation_main1(online_decompiler_result_save_file,solidity_code_result,opcode_result,html_path,path): """ :param online_decompiler_result_save_file: Store all the contract information in the name result.json, and then save it in this folder :param solidity_code_result: The address of the folder where the source code of the contract obtained by parsing the file is stored :param opcode_result: The operation code of the contract obtained by parsing the address of the folder that should be stored :param html_path: Store the html file in this folder, read the html file in the html folder for analysis :param path: All address information is stored in this path :return: """ # url = input("please input the contract tx:") # url = sys.argv[0] f = open(path, ) data = json.load(f) # data is a list, and each list is a dictionary, which forms the json format all_num = 0 time_out = 0 list = [] l1 = path.split("/") list2 = [] result_json_name = l1[-1] for i in data: list3 = i.get("list") for j in list3: print(all_num, end=' ') all_num = all_num + 1 print(j) url = j dict = {"num": all_num} dict["url"] = url dict["parse_lose"] = False dict["parse_timeout_information"] = "" start = time.time() try: http_get(url, html_path) # Get the address of the contract, crawl the content of the contract at that address, and then store the web page in the address of a folder in html_path except Exception as e: time_out = time_out + 1 list2.append(url) print(e) print("get html fail!") pass continue str1, str2 = parsehtml(url, html_path) # Parse the html file corresponding to the contract if (str1 == ""): dict["parse_lose"] = True dict["parse_information"] = "parse html fail~!" end = time.time() dict["parsetime"] = end - start dict["size"] = len(str1) print("url",url) # print(end-start) save_to_file(solidity_code_result + url + ".sol", str1) save_to_file(opcode_result + url + ".txt", str2) list.append(dict) # Save the acquired contract information in the list, and then save the list in a file write_list_to_json(list,result_json_name ,online_decompiler_result_save_file) return all_num,time_out,list2 # Write the list into a file, the list contains all the information obtained by the parsed contract, and then save it in a folder named result.json
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9fae68396e09cb97abef2548604b4d15dd53a009
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py
Python
sdk/python/pulumi_random/__init__.py
pulumi-bot/pulumi-random
611a1fc3a3841d21de4bdceb245f9646a7f577ab
[ "ECL-2.0", "Apache-2.0" ]
null
null
null
sdk/python/pulumi_random/__init__.py
pulumi-bot/pulumi-random
611a1fc3a3841d21de4bdceb245f9646a7f577ab
[ "ECL-2.0", "Apache-2.0" ]
null
null
null
sdk/python/pulumi_random/__init__.py
pulumi-bot/pulumi-random
611a1fc3a3841d21de4bdceb245f9646a7f577ab
[ "ECL-2.0", "Apache-2.0" ]
null
null
null
# coding=utf-8 # *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. *** # *** Do not edit by hand unless you're certain you know what you are doing! *** # Export this package's modules as members: from .provider import * from .random_id import * from .random_integer import * from .random_password import * from .random_pet import * from .random_shuffle import * from .random_string import * from .random_uuid import *
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4c96534ff0851b035636b6a2fe3c9a5f9233384a
476,790
py
Python
sklearn_iris.py
ayushman-rayaguru/Iris_ML_Algo
f3ef8930b8346de0ab906a90aae1c48057152b00
[ "MIT" ]
1
2021-07-16T11:37:50.000Z
2021-07-16T11:37:50.000Z
sklearn_iris.py
ayushman-rayaguru/Iris_ML_Algo
f3ef8930b8346de0ab906a90aae1c48057152b00
[ "MIT" ]
null
null
null
sklearn_iris.py
ayushman-rayaguru/Iris_ML_Algo
f3ef8930b8346de0ab906a90aae1c48057152b00
[ "MIT" ]
null
null
null
# -*- coding: utf-8 -*- """sklearn_iris.ipynb Automatically generated by Colaboratory. Original file is located at https://colab.research.google.com/drive/1AJGiFqRFPhiMrpBS7yuLDdVSqHCf4p16 # *Predicting* **Species** using famous iris dataset **Data Set Information:** This is perhaps the best known database to be found in the pattern recognition literature. Fisher's paper is a classic in the field and is referenced frequently to this day. (See Duda & Hart, for example.) The data set contains 3 classes of 50 instances each, where each class refers to a type of iris plant. One class is linearly separable from the other 2; the latter are NOT linearly separable from each other. **Predicted attribute:** class of iris plant. ![d8f9d10a-7695-0cc3-bc06-0a3211e78c24.png](data:image/png;base64,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""" import pandas as pd import numpy as np import matplotlib.pyplot as plt from sklearn import neighbors , datasets from sklearn import preprocessing from sklearn.model_selection import train_test_split from sklearn.preprocessing import StandardScaler iris = pd.read_csv('iris.csv') feature_names = iris.iloc[0:4] target_names = iris.iloc[5] X = iris.iloc[:,:4] y = iris.iloc[:,-1:] print(X) print(y) import seaborn as sns plt.style.use('ggplot') sc = StandardScaler() #X_scaled = sc.fit_transform(X[['sepal_length','sepal_width','petal_length','petal_width']]) X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=2) sns.pairplot(iris,hue = 'species') """#### The **12th plot** in pairplot shows some significant groups developing when parameter are chosen as **petal_width and petal_length**""" sns.scatterplot(x = iris['petal_width'] , y = iris['petal_length'],hue = iris.species) from sklearn.linear_model import LogisticRegression from sklearn.naive_bayes import GaussianNB from sklearn.ensemble import RandomForestClassifier from sklearn.svm import SVC from sklearn import datasets import numpy as np # Initializing Classifiers clf1 = LogisticRegression(random_state=1, solver='newton-cg', multi_class='multinomial') clf2 = RandomForestClassifier(random_state=1, n_estimators=100) clf3 = GaussianNB() clf4 = SVC(gamma='auto') clf5 = neighbors.KNeighborsClassifier(n_neighbors = 6) #clf.fit(X[['sepal_length','sepal_width','petal_length','petal_width']], # y.species) # Loading some example data iris = datasets.load_iris() X = iris.data[:, [2,3]] y = iris.target """### Having look on decision boundaries made by classifier : #### **0.Setosa** #### **1.Versicolor** #### **2.Verginica** """ import matplotlib.pyplot as plt from mlxtend.plotting import plot_decision_regions import matplotlib.gridspec as gridspec import itertools gs = gridspec.GridSpec(2, 3) fig = plt.figure(figsize=(10,8)) labels = ['Logistic Regression', 'Random Forest', 'Naive Bayes', 'SVM','KNN'] for clf, lab, grd in zip([clf1, clf2, clf3, clf4,clf5], labels, itertools.product([0, 1, 2], repeat=2)): clf.fit(X, y) ax = plt.subplot(gs[grd[0], grd[1]]) fig = plot_decision_regions(X=X, y=y, clf=clf, legend=2) plt.title(lab) plt.show() """## Selecting **KNeigborsClassifier** as model""" fig = plt.figure(figsize=(10,8)) fig = plot_decision_regions(X=X, y=y, clf=clf5, legend=2) plt.title('KNN') plt.show() """### **Tesing model prediction on sample data**""" final = np.array([[3,5],[3,1],[2,1],[3.3,2.2],[0.1,0.1],[5,1.69]]) clf5.predict(final) """### **Saving our model in .pkl format**""" import pickle filename = 'iris_model.sav' pickle.dump(clf5, open(filename, 'wb')) # some time later... # load the model from disk loaded_model = pickle.load(open(filename, 'rb')) result = loaded_model.score(X_test, y_test) print(result) """#### *Great ! this model did a* **nice classification work** *of predicting with* **score of 96.666%**"""
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px511-2021/code/ice/ICE.py
Relex12/Decentralized-Password-Manager
0b861a310131782003a469d9c436e04e5bb05420
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px511-2021/code/ice/ICE.py
Relex12/Decentralized-Password-Manager
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[ "MIT" ]
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px511-2021/code/ice/ICE.py
Relex12/Decentralized-Password-Manager
0b861a310131782003a469d9c436e04e5bb05420
[ "MIT" ]
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import argparse import asyncio from typing import Any import aioice from aioice.candidate import Candidate import time from aioice.ice import CandidatePair SERVEUR_STUN = ("stun1.l.google.com", 19302) fichier_mdp_chiffres='passwords_chiffres.txt' def sync_this_device_Ice(): async def main(): conn_a = aioice.Connection(ice_controlling=True, stun_server=SERVEUR_STUN) conn_b = aioice.Connection(ice_controlling=False, stun_server=SERVEUR_STUN) # les candidats distants de b sont les locaux de a await conn_a.gather_candidates() for i in range(len(conn_a.local_candidates)): await conn_b.add_remote_candidate(Candidate.from_sdp(conn_a.local_candidates[i].to_sdp())) print (conn_b.remote_candidates) conn_b.remote_username = conn_a.local_username conn_b.remote_password = conn_a.local_password # respectivement await conn_b.gather_candidates() for j in range(len(conn_b.local_candidates)): await conn_a.add_remote_candidate(Candidate.from_sdp(conn_b.local_candidates[j].to_sdp())) print (conn_a.remote_candidates) conn_a.remote_username = conn_b.local_username conn_a.remote_password = conn_b.local_password # connection await asyncio.gather(conn_a.connect(), conn_b.connect()) # envoie de données de b vers a with open(fichier_mdp_chiffres,'rb') as ef: donnees=ef.read() await conn_b.send(donnees) data = await conn_a.recv() with open (fichier_mdp_chiffres,'wb') as ef: ef.write(data) print('Nous avons reçu le fichier') # fermeture de la connexion await asyncio.gather(conn_a.close(), conn_b.close()) asyncio.get_event_loop().run_until_complete(main()) def sync_other_device_Ice(): async def main(): conn_a = aioice.Connection(ice_controlling=True, stun_server=SERVEUR_STUN) conn_b = aioice.Connection(ice_controlling=False, stun_server=SERVEUR_STUN) # les candidats distants de b sont les locaux de a await conn_a.gather_candidates() for i in range(len(conn_a.local_candidates)): await conn_b.add_remote_candidate(Candidate.from_sdp(conn_a.local_candidates[i].to_sdp())) print (conn_b.remote_candidates) conn_b.remote_username = conn_a.local_username conn_b.remote_password = conn_a.local_password # respectivement await conn_b.gather_candidates() for j in range(len(conn_b.local_candidates)): await conn_a.add_remote_candidate(Candidate.from_sdp(conn_b.local_candidates[j].to_sdp())) print (conn_a.remote_candidates) conn_a.remote_username = conn_b.local_username conn_a.remote_password = conn_b.local_password # connection await asyncio.gather(conn_a.connect(), conn_b.connect()) # envoie de données de a vers b with open(fichier_mdp_chiffres,'rb') as ef: donnees=ef.read() await conn_a.send(donnees) data = await conn_b.recv() with open (fichier_mdp_chiffres,'wb') as ef: ef.write(data) print("L'appareil distant a reçu le fichier") # fermeture de la connexion await asyncio.gather(conn_a.close(), conn_b.close()) asyncio.get_event_loop().run_until_complete(main())
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e29fb9aa53e97ab2cbccd1286dc00c22673c0196
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py
Python
arcos4py/.ipynb_checkpoints/raw-checkpoint.py
marc-rauckhorst/arcos-py
c195a29e47d4041e787eedb59552c4e92364627e
[ "MIT" ]
null
null
null
arcos4py/.ipynb_checkpoints/raw-checkpoint.py
marc-rauckhorst/arcos-py
c195a29e47d4041e787eedb59552c4e92364627e
[ "MIT" ]
null
null
null
arcos4py/.ipynb_checkpoints/raw-checkpoint.py
marc-rauckhorst/arcos-py
c195a29e47d4041e787eedb59552c4e92364627e
[ "MIT" ]
null
null
null
{ "cells": [ { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "# Raw Functions\n", "\n", "def get_raw_county_data(state, county = '',verification = True, key = 'WaPo'):\n", " '''(str(two letter abbreviation), bool, str, str) -> pd.df\n", " Returns all data by county (Will be large and could take extra time to load)\n", "\n", " >>>get_raw_county_data('OH', 'Summit')\n", " EXAMPLE OUTPUT\n", " '''\n", "\n", " base_url = 'https://arcos-api.ext.nile.works/v1/'\n", " function_url = 'county_data?'\n", " add_state = 'state=' + state\n", " add_county = '&county=' + county\n", " add_key = '&key=' + key\n", " full_url = base_url + function_url + add_state + add_county + add_key\n", "\n", " if verification == True:\n", " print(full_url)\n", " county_data_df = json_normalize(requests.get(full_url).json())\n", " return county_data_df\n", " else:\n", " print('Problem encountered, not returning data:')\n", " print('Either verification == False')\n", " print('Or problem with API encountered, please verify URL, state and county are correct: ', full_url)\n", " \n", "def get_raw_buyer_details(state, county = '',verification = True, key = 'WaPo'):\n", " '''(str(two letter abbreviation), bool, str, str) -> pd.df\n", " Returns buyer details (mail order, pharmacy, retail, practitioner, etc)\n", "\n", " >>>get_raw_buyer_details('OH', 'Summit')\n", " EXAMPLE OUTPUT\n", " '''\n", "\n", " base_url = 'https://arcos-api.ext.nile.works/v1/'\n", " function_url = 'buyer_details?'\n", " add_state = 'state=' + state\n", " add_county = '&county=' + county\n", " add_key = '&key=' + key\n", " full_url = base_url + function_url + add_state + add_county + add_key\n", "\n", " if verification == True:\n", " print(full_url)\n", " buyer_details_df = json_normalize(requests.get(full_url).json())\n", " return buyer_details_df\n", " else:\n", " print('Problem encountered, not returning data:')\n", " print('Either verification == False')\n", " print('Or problem with API encountered, please verify URL, state and county are correct: ', full_url)\n", " \n", "def get_raw_reporter_details(state, county = '',verification = True, key = 'WaPo'):\n", " '''(str(two letter abbreviation), bool, str, str) -> pd.df\n", " Returns Reporter (Manufacturers and Distributors) details such as addresses\n", "\n", " >>>get_raw_reporter_details('OH', 'Summit')\n", " EXAMPLE OUTPUT\n", " '''\n", "\n", " base_url = 'https://arcos-api.ext.nile.works/v1/'\n", " function_url = 'reporter_details?'\n", " add_state = 'state=' + state\n", " add_county = '&county=' + county\n", " add_key = '&key=' + key\n", " full_url = base_url + function_url + add_state + add_county + add_key\n", "\n", " if verification == True:\n", " print(full_url)\n", " reporter_details_df = json_normalize(requests.get(full_url).json())\n", " return reporter_details_df\n", " else:\n", " print('Problem encountered, not returning data:')\n", " print('Either verification == False')\n", " print('Or problem with API encountered, please verify URL, state and county are correct: ', full_url)" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.6.9" } }, "nbformat": 4, "nbformat_minor": 4 }
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2c824ca92d28bcfcbd24248b16c9930193310706
47,191
py
Python
sdk/relay/azure-mgmt-relay/azure/mgmt/relay/operations/namespaces_operations.py
iscai-msft/azure-sdk-for-python
83715b95c41e519d5be7f1180195e2fba136fc0f
[ "MIT" ]
8
2021-01-13T23:44:08.000Z
2021-03-17T10:13:36.000Z
sdk/relay/azure-mgmt-relay/azure/mgmt/relay/operations/namespaces_operations.py
iscai-msft/azure-sdk-for-python
83715b95c41e519d5be7f1180195e2fba136fc0f
[ "MIT" ]
226
2019-07-24T07:57:21.000Z
2019-10-15T01:07:24.000Z
sdk/relay/azure-mgmt-relay/azure/mgmt/relay/operations/namespaces_operations.py
iscai-msft/azure-sdk-for-python
83715b95c41e519d5be7f1180195e2fba136fc0f
[ "MIT" ]
2
2020-05-21T22:51:22.000Z
2020-05-26T20:53:01.000Z
# coding=utf-8 # -------------------------------------------------------------------------- # Copyright (c) Microsoft Corporation. All rights reserved. # Licensed under the MIT License. See License.txt in the project root for # license information. # # Code generated by Microsoft (R) AutoRest Code Generator. # Changes may cause incorrect behavior and will be lost if the code is # regenerated. # -------------------------------------------------------------------------- import uuid from msrest.pipeline import ClientRawResponse from msrest.polling import LROPoller, NoPolling from msrestazure.polling.arm_polling import ARMPolling from .. import models class NamespacesOperations(object): """NamespacesOperations operations. :param client: Client for service requests. :param config: Configuration of service client. :param serializer: An object model serializer. :param deserializer: An object model deserializer. :ivar api_version: Client API version. Constant value: "2017-04-01". """ models = models def __init__(self, client, config, serializer, deserializer): self._client = client self._serialize = serializer self._deserialize = deserializer self.api_version = "2017-04-01" self.config = config def check_name_availability_method( self, name, custom_headers=None, raw=False, **operation_config): """Check the specified namespace name availability. :param name: The namespace name to check for availability. The namespace name can contain only letters, numbers, and hyphens. The namespace must start with a letter, and it must end with a letter or number. :type name: str :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :return: CheckNameAvailabilityResult or ClientRawResponse if raw=true :rtype: ~azure.mgmt.relay.models.CheckNameAvailabilityResult or ~msrest.pipeline.ClientRawResponse :raises: :class:`ErrorResponseException<azure.mgmt.relay.models.ErrorResponseException>` """ parameters = models.CheckNameAvailability(name=name) # Construct URL url = self.check_name_availability_method.metadata['url'] path_format_arguments = { 'subscriptionId': self._serialize.url("self.config.subscription_id", self.config.subscription_id, 'str') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} query_parameters['api-version'] = self._serialize.query("self.api_version", self.api_version, 'str') # Construct headers header_parameters = {} header_parameters['Accept'] = 'application/json' header_parameters['Content-Type'] = 'application/json; charset=utf-8' if self.config.generate_client_request_id: header_parameters['x-ms-client-request-id'] = str(uuid.uuid1()) if custom_headers: header_parameters.update(custom_headers) if self.config.accept_language is not None: header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str') # Construct body body_content = self._serialize.body(parameters, 'CheckNameAvailability') # Construct and send request request = self._client.post(url, query_parameters, header_parameters, body_content) response = self._client.send(request, stream=False, **operation_config) if response.status_code not in [200]: raise models.ErrorResponseException(self._deserialize, response) deserialized = None if response.status_code == 200: deserialized = self._deserialize('CheckNameAvailabilityResult', response) if raw: client_raw_response = ClientRawResponse(deserialized, response) return client_raw_response return deserialized check_name_availability_method.metadata = {'url': '/subscriptions/{subscriptionId}/providers/Microsoft.Relay/checkNameAvailability'} def list( self, custom_headers=None, raw=False, **operation_config): """Lists all the available namespaces within the subscription regardless of the resourceGroups. :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :return: An iterator like instance of RelayNamespace :rtype: ~azure.mgmt.relay.models.RelayNamespacePaged[~azure.mgmt.relay.models.RelayNamespace] :raises: :class:`ErrorResponseException<azure.mgmt.relay.models.ErrorResponseException>` """ def internal_paging(next_link=None, raw=False): if not next_link: # Construct URL url = self.list.metadata['url'] path_format_arguments = { 'subscriptionId': self._serialize.url("self.config.subscription_id", self.config.subscription_id, 'str') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} query_parameters['api-version'] = self._serialize.query("self.api_version", self.api_version, 'str') else: url = next_link query_parameters = {} # Construct headers header_parameters = {} header_parameters['Accept'] = 'application/json' if self.config.generate_client_request_id: header_parameters['x-ms-client-request-id'] = str(uuid.uuid1()) if custom_headers: header_parameters.update(custom_headers) if self.config.accept_language is not None: header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str') # Construct and send request request = self._client.get(url, query_parameters, header_parameters) response = self._client.send(request, stream=False, **operation_config) if response.status_code not in [200]: raise models.ErrorResponseException(self._deserialize, response) return response # Deserialize response deserialized = models.RelayNamespacePaged(internal_paging, self._deserialize.dependencies) if raw: header_dict = {} client_raw_response = models.RelayNamespacePaged(internal_paging, self._deserialize.dependencies, header_dict) return client_raw_response return deserialized list.metadata = {'url': '/subscriptions/{subscriptionId}/providers/Microsoft.Relay/namespaces'} def list_by_resource_group( self, resource_group_name, custom_headers=None, raw=False, **operation_config): """Lists all the available namespaces within the ResourceGroup. :param resource_group_name: Name of the Resource group within the Azure subscription. :type resource_group_name: str :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :return: An iterator like instance of RelayNamespace :rtype: ~azure.mgmt.relay.models.RelayNamespacePaged[~azure.mgmt.relay.models.RelayNamespace] :raises: :class:`ErrorResponseException<azure.mgmt.relay.models.ErrorResponseException>` """ def internal_paging(next_link=None, raw=False): if not next_link: # Construct URL url = self.list_by_resource_group.metadata['url'] path_format_arguments = { 'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str', max_length=90, min_length=1), 'subscriptionId': self._serialize.url("self.config.subscription_id", self.config.subscription_id, 'str') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} query_parameters['api-version'] = self._serialize.query("self.api_version", self.api_version, 'str') else: url = next_link query_parameters = {} # Construct headers header_parameters = {} header_parameters['Accept'] = 'application/json' if self.config.generate_client_request_id: header_parameters['x-ms-client-request-id'] = str(uuid.uuid1()) if custom_headers: header_parameters.update(custom_headers) if self.config.accept_language is not None: header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str') # Construct and send request request = self._client.get(url, query_parameters, header_parameters) response = self._client.send(request, stream=False, **operation_config) if response.status_code not in [200]: raise models.ErrorResponseException(self._deserialize, response) return response # Deserialize response deserialized = models.RelayNamespacePaged(internal_paging, self._deserialize.dependencies) if raw: header_dict = {} client_raw_response = models.RelayNamespacePaged(internal_paging, self._deserialize.dependencies, header_dict) return client_raw_response return deserialized list_by_resource_group.metadata = {'url': '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Relay/namespaces'} def _create_or_update_initial( self, resource_group_name, namespace_name, parameters, custom_headers=None, raw=False, **operation_config): # Construct URL url = self.create_or_update.metadata['url'] path_format_arguments = { 'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str', max_length=90, min_length=1), 'namespaceName': self._serialize.url("namespace_name", namespace_name, 'str', max_length=50, min_length=6), 'subscriptionId': self._serialize.url("self.config.subscription_id", self.config.subscription_id, 'str') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} query_parameters['api-version'] = self._serialize.query("self.api_version", self.api_version, 'str') # Construct headers header_parameters = {} header_parameters['Accept'] = 'application/json' header_parameters['Content-Type'] = 'application/json; charset=utf-8' if self.config.generate_client_request_id: header_parameters['x-ms-client-request-id'] = str(uuid.uuid1()) if custom_headers: header_parameters.update(custom_headers) if self.config.accept_language is not None: header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str') # Construct body body_content = self._serialize.body(parameters, 'RelayNamespace') # Construct and send request request = self._client.put(url, query_parameters, header_parameters, body_content) response = self._client.send(request, stream=False, **operation_config) if response.status_code not in [200, 201]: raise models.ErrorResponseException(self._deserialize, response) deserialized = None if response.status_code == 200: deserialized = self._deserialize('RelayNamespace', response) if response.status_code == 201: deserialized = self._deserialize('RelayNamespace', response) if raw: client_raw_response = ClientRawResponse(deserialized, response) return client_raw_response return deserialized def create_or_update( self, resource_group_name, namespace_name, parameters, custom_headers=None, raw=False, polling=True, **operation_config): """Create Azure Relay namespace. :param resource_group_name: Name of the Resource group within the Azure subscription. :type resource_group_name: str :param namespace_name: The namespace name :type namespace_name: str :param parameters: Parameters supplied to create a namespace resource. :type parameters: ~azure.mgmt.relay.models.RelayNamespace :param dict custom_headers: headers that will be added to the request :param bool raw: The poller return type is ClientRawResponse, the direct response alongside the deserialized response :param polling: True for ARMPolling, False for no polling, or a polling object for personal polling strategy :return: An instance of LROPoller that returns RelayNamespace or ClientRawResponse<RelayNamespace> if raw==True :rtype: ~msrestazure.azure_operation.AzureOperationPoller[~azure.mgmt.relay.models.RelayNamespace] or ~msrestazure.azure_operation.AzureOperationPoller[~msrest.pipeline.ClientRawResponse[~azure.mgmt.relay.models.RelayNamespace]] :raises: :class:`ErrorResponseException<azure.mgmt.relay.models.ErrorResponseException>` """ raw_result = self._create_or_update_initial( resource_group_name=resource_group_name, namespace_name=namespace_name, parameters=parameters, custom_headers=custom_headers, raw=True, **operation_config ) def get_long_running_output(response): deserialized = self._deserialize('RelayNamespace', response) if raw: client_raw_response = ClientRawResponse(deserialized, response) return client_raw_response return deserialized lro_delay = operation_config.get( 'long_running_operation_timeout', self.config.long_running_operation_timeout) if polling is True: polling_method = ARMPolling(lro_delay, **operation_config) elif polling is False: polling_method = NoPolling() else: polling_method = polling return LROPoller(self._client, raw_result, get_long_running_output, polling_method) create_or_update.metadata = {'url': '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Relay/namespaces/{namespaceName}'} def _delete_initial( self, resource_group_name, namespace_name, custom_headers=None, raw=False, **operation_config): # Construct URL url = self.delete.metadata['url'] path_format_arguments = { 'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str', max_length=90, min_length=1), 'namespaceName': self._serialize.url("namespace_name", namespace_name, 'str', max_length=50, min_length=6), 'subscriptionId': self._serialize.url("self.config.subscription_id", self.config.subscription_id, 'str') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} query_parameters['api-version'] = self._serialize.query("self.api_version", self.api_version, 'str') # Construct headers header_parameters = {} if self.config.generate_client_request_id: header_parameters['x-ms-client-request-id'] = str(uuid.uuid1()) if custom_headers: header_parameters.update(custom_headers) if self.config.accept_language is not None: header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str') # Construct and send request request = self._client.delete(url, query_parameters, header_parameters) response = self._client.send(request, stream=False, **operation_config) if response.status_code not in [200, 202, 204]: raise models.ErrorResponseException(self._deserialize, response) if raw: client_raw_response = ClientRawResponse(None, response) return client_raw_response def delete( self, resource_group_name, namespace_name, custom_headers=None, raw=False, polling=True, **operation_config): """Deletes an existing namespace. This operation also removes all associated resources under the namespace. :param resource_group_name: Name of the Resource group within the Azure subscription. :type resource_group_name: str :param namespace_name: The namespace name :type namespace_name: str :param dict custom_headers: headers that will be added to the request :param bool raw: The poller return type is ClientRawResponse, the direct response alongside the deserialized response :param polling: True for ARMPolling, False for no polling, or a polling object for personal polling strategy :return: An instance of LROPoller that returns None or ClientRawResponse<None> if raw==True :rtype: ~msrestazure.azure_operation.AzureOperationPoller[None] or ~msrestazure.azure_operation.AzureOperationPoller[~msrest.pipeline.ClientRawResponse[None]] :raises: :class:`ErrorResponseException<azure.mgmt.relay.models.ErrorResponseException>` """ raw_result = self._delete_initial( resource_group_name=resource_group_name, namespace_name=namespace_name, custom_headers=custom_headers, raw=True, **operation_config ) def get_long_running_output(response): if raw: client_raw_response = ClientRawResponse(None, response) return client_raw_response lro_delay = operation_config.get( 'long_running_operation_timeout', self.config.long_running_operation_timeout) if polling is True: polling_method = ARMPolling(lro_delay, **operation_config) elif polling is False: polling_method = NoPolling() else: polling_method = polling return LROPoller(self._client, raw_result, get_long_running_output, polling_method) delete.metadata = {'url': '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Relay/namespaces/{namespaceName}'} def get( self, resource_group_name, namespace_name, custom_headers=None, raw=False, **operation_config): """Returns the description for the specified namespace. :param resource_group_name: Name of the Resource group within the Azure subscription. :type resource_group_name: str :param namespace_name: The namespace name :type namespace_name: str :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :return: RelayNamespace or ClientRawResponse if raw=true :rtype: ~azure.mgmt.relay.models.RelayNamespace or ~msrest.pipeline.ClientRawResponse :raises: :class:`ErrorResponseException<azure.mgmt.relay.models.ErrorResponseException>` """ # Construct URL url = self.get.metadata['url'] path_format_arguments = { 'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str', max_length=90, min_length=1), 'namespaceName': self._serialize.url("namespace_name", namespace_name, 'str', max_length=50, min_length=6), 'subscriptionId': self._serialize.url("self.config.subscription_id", self.config.subscription_id, 'str') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} query_parameters['api-version'] = self._serialize.query("self.api_version", self.api_version, 'str') # Construct headers header_parameters = {} header_parameters['Accept'] = 'application/json' if self.config.generate_client_request_id: header_parameters['x-ms-client-request-id'] = str(uuid.uuid1()) if custom_headers: header_parameters.update(custom_headers) if self.config.accept_language is not None: header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str') # Construct and send request request = self._client.get(url, query_parameters, header_parameters) response = self._client.send(request, stream=False, **operation_config) if response.status_code not in [200]: raise models.ErrorResponseException(self._deserialize, response) deserialized = None if response.status_code == 200: deserialized = self._deserialize('RelayNamespace', response) if raw: client_raw_response = ClientRawResponse(deserialized, response) return client_raw_response return deserialized get.metadata = {'url': '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Relay/namespaces/{namespaceName}'} def update( self, resource_group_name, namespace_name, tags=None, sku=None, custom_headers=None, raw=False, **operation_config): """Creates or updates a namespace. Once created, this namespace's resource manifest is immutable. This operation is idempotent. :param resource_group_name: Name of the Resource group within the Azure subscription. :type resource_group_name: str :param namespace_name: The namespace name :type namespace_name: str :param tags: Resource tags. :type tags: dict[str, str] :param sku: SKU of the namespace. :type sku: ~azure.mgmt.relay.models.Sku :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :return: RelayNamespace or ClientRawResponse if raw=true :rtype: ~azure.mgmt.relay.models.RelayNamespace or ~msrest.pipeline.ClientRawResponse :raises: :class:`ErrorResponseException<azure.mgmt.relay.models.ErrorResponseException>` """ parameters = models.RelayUpdateParameters(tags=tags, sku=sku) # Construct URL url = self.update.metadata['url'] path_format_arguments = { 'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str', max_length=90, min_length=1), 'namespaceName': self._serialize.url("namespace_name", namespace_name, 'str', max_length=50, min_length=6), 'subscriptionId': self._serialize.url("self.config.subscription_id", self.config.subscription_id, 'str') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} query_parameters['api-version'] = self._serialize.query("self.api_version", self.api_version, 'str') # Construct headers header_parameters = {} header_parameters['Accept'] = 'application/json' header_parameters['Content-Type'] = 'application/json; charset=utf-8' if self.config.generate_client_request_id: header_parameters['x-ms-client-request-id'] = str(uuid.uuid1()) if custom_headers: header_parameters.update(custom_headers) if self.config.accept_language is not None: header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str') # Construct body body_content = self._serialize.body(parameters, 'RelayUpdateParameters') # Construct and send request request = self._client.patch(url, query_parameters, header_parameters, body_content) response = self._client.send(request, stream=False, **operation_config) if response.status_code not in [200, 201]: raise models.ErrorResponseException(self._deserialize, response) deserialized = None if response.status_code == 200: deserialized = self._deserialize('RelayNamespace', response) if response.status_code == 201: deserialized = self._deserialize('RelayNamespace', response) if raw: client_raw_response = ClientRawResponse(deserialized, response) return client_raw_response return deserialized update.metadata = {'url': '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Relay/namespaces/{namespaceName}'} def list_authorization_rules( self, resource_group_name, namespace_name, custom_headers=None, raw=False, **operation_config): """Authorization rules for a namespace. :param resource_group_name: Name of the Resource group within the Azure subscription. :type resource_group_name: str :param namespace_name: The namespace name :type namespace_name: str :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :return: An iterator like instance of AuthorizationRule :rtype: ~azure.mgmt.relay.models.AuthorizationRulePaged[~azure.mgmt.relay.models.AuthorizationRule] :raises: :class:`ErrorResponseException<azure.mgmt.relay.models.ErrorResponseException>` """ def internal_paging(next_link=None, raw=False): if not next_link: # Construct URL url = self.list_authorization_rules.metadata['url'] path_format_arguments = { 'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str', max_length=90, min_length=1), 'namespaceName': self._serialize.url("namespace_name", namespace_name, 'str', max_length=50, min_length=6), 'subscriptionId': self._serialize.url("self.config.subscription_id", self.config.subscription_id, 'str') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} query_parameters['api-version'] = self._serialize.query("self.api_version", self.api_version, 'str') else: url = next_link query_parameters = {} # Construct headers header_parameters = {} header_parameters['Accept'] = 'application/json' if self.config.generate_client_request_id: header_parameters['x-ms-client-request-id'] = str(uuid.uuid1()) if custom_headers: header_parameters.update(custom_headers) if self.config.accept_language is not None: header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str') # Construct and send request request = self._client.get(url, query_parameters, header_parameters) response = self._client.send(request, stream=False, **operation_config) if response.status_code not in [200]: raise models.ErrorResponseException(self._deserialize, response) return response # Deserialize response deserialized = models.AuthorizationRulePaged(internal_paging, self._deserialize.dependencies) if raw: header_dict = {} client_raw_response = models.AuthorizationRulePaged(internal_paging, self._deserialize.dependencies, header_dict) return client_raw_response return deserialized list_authorization_rules.metadata = {'url': '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Relay/namespaces/{namespaceName}/authorizationRules'} def create_or_update_authorization_rule( self, resource_group_name, namespace_name, authorization_rule_name, rights, custom_headers=None, raw=False, **operation_config): """Creates or updates an authorization rule for a namespace. :param resource_group_name: Name of the Resource group within the Azure subscription. :type resource_group_name: str :param namespace_name: The namespace name :type namespace_name: str :param authorization_rule_name: The authorization rule name. :type authorization_rule_name: str :param rights: The rights associated with the rule. :type rights: list[str or ~azure.mgmt.relay.models.AccessRights] :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :return: AuthorizationRule or ClientRawResponse if raw=true :rtype: ~azure.mgmt.relay.models.AuthorizationRule or ~msrest.pipeline.ClientRawResponse :raises: :class:`ErrorResponseException<azure.mgmt.relay.models.ErrorResponseException>` """ parameters = models.AuthorizationRule(rights=rights) # Construct URL url = self.create_or_update_authorization_rule.metadata['url'] path_format_arguments = { 'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str', max_length=90, min_length=1), 'namespaceName': self._serialize.url("namespace_name", namespace_name, 'str', max_length=50, min_length=6), 'authorizationRuleName': self._serialize.url("authorization_rule_name", authorization_rule_name, 'str', min_length=1), 'subscriptionId': self._serialize.url("self.config.subscription_id", self.config.subscription_id, 'str') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} query_parameters['api-version'] = self._serialize.query("self.api_version", self.api_version, 'str') # Construct headers header_parameters = {} header_parameters['Accept'] = 'application/json' header_parameters['Content-Type'] = 'application/json; charset=utf-8' if self.config.generate_client_request_id: header_parameters['x-ms-client-request-id'] = str(uuid.uuid1()) if custom_headers: header_parameters.update(custom_headers) if self.config.accept_language is not None: header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str') # Construct body body_content = self._serialize.body(parameters, 'AuthorizationRule') # Construct and send request request = self._client.put(url, query_parameters, header_parameters, body_content) response = self._client.send(request, stream=False, **operation_config) if response.status_code not in [200]: raise models.ErrorResponseException(self._deserialize, response) deserialized = None if response.status_code == 200: deserialized = self._deserialize('AuthorizationRule', response) if raw: client_raw_response = ClientRawResponse(deserialized, response) return client_raw_response return deserialized create_or_update_authorization_rule.metadata = {'url': '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Relay/namespaces/{namespaceName}/authorizationRules/{authorizationRuleName}'} def delete_authorization_rule( self, resource_group_name, namespace_name, authorization_rule_name, custom_headers=None, raw=False, **operation_config): """Deletes a namespace authorization rule. :param resource_group_name: Name of the Resource group within the Azure subscription. :type resource_group_name: str :param namespace_name: The namespace name :type namespace_name: str :param authorization_rule_name: The authorization rule name. :type authorization_rule_name: str :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :return: None or ClientRawResponse if raw=true :rtype: None or ~msrest.pipeline.ClientRawResponse :raises: :class:`ErrorResponseException<azure.mgmt.relay.models.ErrorResponseException>` """ # Construct URL url = self.delete_authorization_rule.metadata['url'] path_format_arguments = { 'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str', max_length=90, min_length=1), 'namespaceName': self._serialize.url("namespace_name", namespace_name, 'str', max_length=50, min_length=6), 'authorizationRuleName': self._serialize.url("authorization_rule_name", authorization_rule_name, 'str', min_length=1), 'subscriptionId': self._serialize.url("self.config.subscription_id", self.config.subscription_id, 'str') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} query_parameters['api-version'] = self._serialize.query("self.api_version", self.api_version, 'str') # Construct headers header_parameters = {} if self.config.generate_client_request_id: header_parameters['x-ms-client-request-id'] = str(uuid.uuid1()) if custom_headers: header_parameters.update(custom_headers) if self.config.accept_language is not None: header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str') # Construct and send request request = self._client.delete(url, query_parameters, header_parameters) response = self._client.send(request, stream=False, **operation_config) if response.status_code not in [200, 204]: raise models.ErrorResponseException(self._deserialize, response) if raw: client_raw_response = ClientRawResponse(None, response) return client_raw_response delete_authorization_rule.metadata = {'url': '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Relay/namespaces/{namespaceName}/authorizationRules/{authorizationRuleName}'} def get_authorization_rule( self, resource_group_name, namespace_name, authorization_rule_name, custom_headers=None, raw=False, **operation_config): """Authorization rule for a namespace by name. :param resource_group_name: Name of the Resource group within the Azure subscription. :type resource_group_name: str :param namespace_name: The namespace name :type namespace_name: str :param authorization_rule_name: The authorization rule name. :type authorization_rule_name: str :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :return: AuthorizationRule or ClientRawResponse if raw=true :rtype: ~azure.mgmt.relay.models.AuthorizationRule or ~msrest.pipeline.ClientRawResponse :raises: :class:`ErrorResponseException<azure.mgmt.relay.models.ErrorResponseException>` """ # Construct URL url = self.get_authorization_rule.metadata['url'] path_format_arguments = { 'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str', max_length=90, min_length=1), 'namespaceName': self._serialize.url("namespace_name", namespace_name, 'str', max_length=50, min_length=6), 'authorizationRuleName': self._serialize.url("authorization_rule_name", authorization_rule_name, 'str', min_length=1), 'subscriptionId': self._serialize.url("self.config.subscription_id", self.config.subscription_id, 'str') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} query_parameters['api-version'] = self._serialize.query("self.api_version", self.api_version, 'str') # Construct headers header_parameters = {} header_parameters['Accept'] = 'application/json' if self.config.generate_client_request_id: header_parameters['x-ms-client-request-id'] = str(uuid.uuid1()) if custom_headers: header_parameters.update(custom_headers) if self.config.accept_language is not None: header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str') # Construct and send request request = self._client.get(url, query_parameters, header_parameters) response = self._client.send(request, stream=False, **operation_config) if response.status_code not in [200]: raise models.ErrorResponseException(self._deserialize, response) deserialized = None if response.status_code == 200: deserialized = self._deserialize('AuthorizationRule', response) if raw: client_raw_response = ClientRawResponse(deserialized, response) return client_raw_response return deserialized get_authorization_rule.metadata = {'url': '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Relay/namespaces/{namespaceName}/authorizationRules/{authorizationRuleName}'} def list_keys( self, resource_group_name, namespace_name, authorization_rule_name, custom_headers=None, raw=False, **operation_config): """Primary and secondary connection strings to the namespace. :param resource_group_name: Name of the Resource group within the Azure subscription. :type resource_group_name: str :param namespace_name: The namespace name :type namespace_name: str :param authorization_rule_name: The authorization rule name. :type authorization_rule_name: str :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :return: AccessKeys or ClientRawResponse if raw=true :rtype: ~azure.mgmt.relay.models.AccessKeys or ~msrest.pipeline.ClientRawResponse :raises: :class:`ErrorResponseException<azure.mgmt.relay.models.ErrorResponseException>` """ # Construct URL url = self.list_keys.metadata['url'] path_format_arguments = { 'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str', max_length=90, min_length=1), 'namespaceName': self._serialize.url("namespace_name", namespace_name, 'str', max_length=50, min_length=6), 'authorizationRuleName': self._serialize.url("authorization_rule_name", authorization_rule_name, 'str', min_length=1), 'subscriptionId': self._serialize.url("self.config.subscription_id", self.config.subscription_id, 'str') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} query_parameters['api-version'] = self._serialize.query("self.api_version", self.api_version, 'str') # Construct headers header_parameters = {} header_parameters['Accept'] = 'application/json' if self.config.generate_client_request_id: header_parameters['x-ms-client-request-id'] = str(uuid.uuid1()) if custom_headers: header_parameters.update(custom_headers) if self.config.accept_language is not None: header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str') # Construct and send request request = self._client.post(url, query_parameters, header_parameters) response = self._client.send(request, stream=False, **operation_config) if response.status_code not in [200]: raise models.ErrorResponseException(self._deserialize, response) deserialized = None if response.status_code == 200: deserialized = self._deserialize('AccessKeys', response) if raw: client_raw_response = ClientRawResponse(deserialized, response) return client_raw_response return deserialized list_keys.metadata = {'url': '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Relay/namespaces/{namespaceName}/authorizationRules/{authorizationRuleName}/listKeys'} def regenerate_keys( self, resource_group_name, namespace_name, authorization_rule_name, key_type, key=None, custom_headers=None, raw=False, **operation_config): """Regenerates the primary or secondary connection strings to the namespace. :param resource_group_name: Name of the Resource group within the Azure subscription. :type resource_group_name: str :param namespace_name: The namespace name :type namespace_name: str :param authorization_rule_name: The authorization rule name. :type authorization_rule_name: str :param key_type: The access key to regenerate. Possible values include: 'PrimaryKey', 'SecondaryKey' :type key_type: str or ~azure.mgmt.relay.models.KeyType :param key: Optional. If the key value is provided, this is set to key type, or autogenerated key value set for key type. :type key: str :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :return: AccessKeys or ClientRawResponse if raw=true :rtype: ~azure.mgmt.relay.models.AccessKeys or ~msrest.pipeline.ClientRawResponse :raises: :class:`ErrorResponseException<azure.mgmt.relay.models.ErrorResponseException>` """ parameters = models.RegenerateAccessKeyParameters(key_type=key_type, key=key) # Construct URL url = self.regenerate_keys.metadata['url'] path_format_arguments = { 'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str', max_length=90, min_length=1), 'namespaceName': self._serialize.url("namespace_name", namespace_name, 'str', max_length=50, min_length=6), 'authorizationRuleName': self._serialize.url("authorization_rule_name", authorization_rule_name, 'str', min_length=1), 'subscriptionId': self._serialize.url("self.config.subscription_id", self.config.subscription_id, 'str') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} query_parameters['api-version'] = self._serialize.query("self.api_version", self.api_version, 'str') # Construct headers header_parameters = {} header_parameters['Accept'] = 'application/json' header_parameters['Content-Type'] = 'application/json; charset=utf-8' if self.config.generate_client_request_id: header_parameters['x-ms-client-request-id'] = str(uuid.uuid1()) if custom_headers: header_parameters.update(custom_headers) if self.config.accept_language is not None: header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str') # Construct body body_content = self._serialize.body(parameters, 'RegenerateAccessKeyParameters') # Construct and send request request = self._client.post(url, query_parameters, header_parameters, body_content) response = self._client.send(request, stream=False, **operation_config) if response.status_code not in [200]: raise models.ErrorResponseException(self._deserialize, response) deserialized = None if response.status_code == 200: deserialized = self._deserialize('AccessKeys', response) if raw: client_raw_response = ClientRawResponse(deserialized, response) return client_raw_response return deserialized regenerate_keys.metadata = {'url': '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Relay/namespaces/{namespaceName}/authorizationRules/{authorizationRuleName}/regenerateKeys'}
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2caba85396c62df5ec2472c2317e175a40579923
6,066
py
Python
cebm/sgld.py
hao-w/cebm
6a8a88879a15e71fe58003920b61a9c379867f8a
[ "MIT" ]
null
null
null
cebm/sgld.py
hao-w/cebm
6a8a88879a15e71fe58003920b61a9c379867f8a
[ "MIT" ]
null
null
null
cebm/sgld.py
hao-w/cebm
6a8a88879a15e71fe58003920b61a9c379867f8a
[ "MIT" ]
1
2021-12-08T12:25:21.000Z
2021-12-08T12:25:21.000Z
import time import torch from torch.distributions.normal import Normal from torch.distributions.uniform import Uniform class SGLD_Sampler(): """ An sampler using stochastic gradient langevin dynamics """ def __init__(self, im_h, im_w, im_channels, device, alpha, noise_std, buffer_size, reuse_freq): super().__init__() im_dims = (im_channels, im_h, im_w) self.initial_dist = Uniform(-1 * torch.ones(im_dims).to(device), torch.ones(im_dims).to(device)) self.device = device self.alpha = alpha self.noise_std = noise_std self.reuse_freq = reuse_freq self.buffer = self.initial_dist.sample((buffer_size, )) def sample_from_buffer(self, batch_size): """ sample from buffer with a frequency self.buffer_dup_allowed = True allows sampling the same chain multiple time within one sampling step which is used in JEM and IGEBM """ samples = self.initial_dist.sample((batch_size, )) inds = torch.randint(0, len(self.buffer), (batch_size, ), device=self.device) samples_from_buffer = self.buffer[inds] rand_mask = (torch.rand(batch_size, device=self.device) < self.reuse_freq) samples[rand_mask] = samples_from_buffer[rand_mask] return samples, inds def refine_buffer(self, samples, inds): """ update replay buffer """ self.buffer[inds] = samples def sample(self, ebm, batch_size, num_steps, pcd=True, init_samples=None): """ perform update using slgd pcd means that we sample from replay buffer (with a frequency) """ if pcd: samples, inds = self.sample_from_buffer(batch_size) else: if init_samples is None: samples = self.initial_dist.sample((batch_size, )) else: samples = init_samples list_samples = [] for l in range(num_steps): samples.requires_grad = True grads = torch.autograd.grad(outputs=ebm.energy(samples).sum(), inputs=samples)[0] samples = (samples - (self.alpha / 2) * grads + self.noise_std * torch.randn_like(grads)).detach() #added this extra detachment step, becase the last update keeps the variable in the graph. assert samples.requires_grad == False, "samples should not require gradient." if pcd: self.refine_buffer(samples.detach(), inds) return samples def cond_sample(self, ebm, z, batch_size, num_steps, pcd=True, init_samples=None): """ perform update using slgd pcd means that we sample from replay buffer (with a frequency) """ if pcd: samples, inds = self.sample_from_buffer(batch_size) else: if init_samples is None: samples = self.initial_dist.sample((batch_size, )) else: samples = init_samples list_samples = [] for l in range(num_steps): samples.requires_grad = True grads = torch.autograd.grad(outputs=ebm.log_factor(samples, z).sum(), inputs=samples)[0] samples = (samples - (self.alpha / 2) * grads + self.noise_std * torch.randn_like(grads)).detach() #added this extra detachment step, becase the last update keeps the variable in the graph. assert samples.requires_grad == False, "samples should not require gradient." if pcd: self.refine_buffer(samples.detach(), inds) return samples class SGLD_Sampler_GMM(): """ sgld sampler for meta learning """ def __init__(self, im_h, im_w, im_channels, device, alpha, noise_std, buffer_size, reuse_freq): super().__init__() im_dims = (im_channels, im_h, im_w) self.initial_dist = Uniform(-1 * torch.ones(im_dims).to(device), torch.ones(im_dims).to(device)) self.device = device self.alpha = alpha self.noise_std = noise_std self.reuse_freq = reuse_freq self.buffer = self.initial_dist.sample((buffer_size, )) def sample_from_buffer(self, batch_size): """ sample from buffer with a frequency self.buffer_dup_allowed = True allows sampling the same chain multiple time within one sampling step which is used in JEM and IGEBM """ samples = self.initial_dist.sample((batch_size, )) inds = torch.randint(0, len(self.buffer), (batch_size, ), device=self.device) samples_from_buffer = self.buffer[inds] rand_mask = (torch.rand(batch_size, device=self.device) < self.reuse_freq) samples[rand_mask] = samples_from_buffer[rand_mask] return samples, inds def refine_buffer(self, samples, inds): """ update replay buffer """ self.buffer[inds] = samples def sample(self, ebm, batch_size, num_steps, c_means, c_stds, ys, pcd=True, init_samples=None): """ perform update using slgd pcd means that we sample from replay buffer (with a frequency) """ if pcd: samples, inds = self.sample_from_buffer(batch_size) else: if init_samples is None: samples = self.initial_dist.sample((batch_size, )) else: samples = init_samples list_samples = [] for l in range(num_steps): samples.requires_grad = True grads = torch.autograd.grad(outputs=ebm.energy(samples, c_means, c_stds, ys).sum(), inputs=samples)[0] samples = (samples - (self.alpha / 2) * grads + self.noise_std * torch.randn_like(grads)).detach() #added this extra detachment step, becase the last update keeps the variable in the graph. samples = samples.detach() assert samples.requires_grad == False, "samples should not require gradient." if pcd: self.refine_buffer(samples.detach(), inds) return samples
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e2d2085c0c8fc941b22d7b2778f9c707eeef1da8
158
py
Python
tests/test_dtool_annotation_package.py
jic-dtool/dtool-annotation
4a470b4e705e4095f9c7ab5392aa739bf1d7df61
[ "MIT" ]
null
null
null
tests/test_dtool_annotation_package.py
jic-dtool/dtool-annotation
4a470b4e705e4095f9c7ab5392aa739bf1d7df61
[ "MIT" ]
1
2021-06-18T16:58:23.000Z
2021-06-23T00:33:15.000Z
tests/test_dtool_annotation_package.py
jic-dtool/dtool-annotation
4a470b4e705e4095f9c7ab5392aa739bf1d7df61
[ "MIT" ]
1
2021-06-18T11:54:49.000Z
2021-06-18T11:54:49.000Z
"""Test the dtool_annotation package.""" def test_version_is_string(): import dtool_annotation assert isinstance(dtool_annotation.__version__, str)
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7
e2d40e87b5e4ed6eb96fbe447436c679a14289af
20,884
py
Python
src/models/cnn.py
XLMaverick/face_classification
60c42e73f0620e3dced5b19de8ba7d12e3a1e73a
[ "MIT" ]
null
null
null
src/models/cnn.py
XLMaverick/face_classification
60c42e73f0620e3dced5b19de8ba7d12e3a1e73a
[ "MIT" ]
null
null
null
src/models/cnn.py
XLMaverick/face_classification
60c42e73f0620e3dced5b19de8ba7d12e3a1e73a
[ "MIT" ]
null
null
null
from keras.layers import Activation, Convolution2D, Dropout, Conv2D from keras.layers import AveragePooling2D, BatchNormalization from keras.layers import GlobalAveragePooling2D from keras.models import Sequential from keras.layers import Flatten from keras.models import Model from keras.layers import Input from keras.layers import MaxPooling2D from keras.layers import SeparableConv2D from keras import layers from keras.regularizers import l2 <<<<<<< HEAD import keras from keras.preprocessing.image import ImageDataGenerator from keras.models import Sequential from keras.layers import Dense, Dropout, Activation, Flatten ,add from keras.layers import Conv2D, MaxPooling2D, BatchNormalization from keras import optimizers import numpy as np from keras.layers.core import Lambda from keras import backend as K from keras.optimizers import SGD from keras import regularizers from keras.layers import Input, Dense, Dropout, BatchNormalization, Conv2D, MaxPooling2D, AveragePooling2D, concatenate,Activation, ZeroPadding2D def Conv2d_BN(x, nb_filter, kernel_size, strides=(1, 1), padding='same', name=None): if name is not None: bn_name = name + '_bn' conv_name = name + '_conv' else: bn_name = None conv_name = None x = Conv2D(nb_filter, kernel_size, padding=padding, strides=strides, activation='relu', name=conv_name)(x) x = BatchNormalization(axis=3, name=bn_name)(x) return x def bottleneck_Block(inpt,nb_filters,strides=(1,1),with_conv_shortcut=False): k1,k2,k3=nb_filters x = Conv2d_BN(inpt, nb_filter=k1, kernel_size=1, strides=strides, padding='same') x = Conv2d_BN(x, nb_filter=k2, kernel_size=3, padding='same') x = Conv2d_BN(x, nb_filter=k3, kernel_size=1, padding='same') if with_conv_shortcut: shortcut = Conv2d_BN(inpt, nb_filter=k3, strides=strides, kernel_size=1) x = add([x, shortcut]) return x else: x = add([x, inpt]) return x ======= >>>>>>> 0ad164512934b6ff8cf616e4588820dc0f9827a9 def simple_CNN(input_shape, num_classes): model = Sequential() model.add(Convolution2D(filters=16, kernel_size=(7, 7), padding='same', name='image_array', input_shape=input_shape)) model.add(BatchNormalization()) model.add(Convolution2D(filters=16, kernel_size=(7, 7), padding='same')) model.add(BatchNormalization()) model.add(Activation('relu')) model.add(AveragePooling2D(pool_size=(2, 2), padding='same')) model.add(Dropout(.5)) model.add(Convolution2D(filters=32, kernel_size=(5, 5), padding='same')) model.add(BatchNormalization()) model.add(Convolution2D(filters=32, kernel_size=(5, 5), padding='same')) model.add(BatchNormalization()) model.add(Activation('relu')) model.add(AveragePooling2D(pool_size=(2, 2), padding='same')) model.add(Dropout(.5)) model.add(Convolution2D(filters=64, kernel_size=(3, 3), padding='same')) model.add(BatchNormalization()) model.add(Convolution2D(filters=64, kernel_size=(3, 3), padding='same')) model.add(BatchNormalization()) model.add(Activation('relu')) model.add(AveragePooling2D(pool_size=(2, 2), padding='same')) model.add(Dropout(.5)) model.add(Convolution2D(filters=128, kernel_size=(3, 3), padding='same')) model.add(BatchNormalization()) model.add(Convolution2D(filters=128, kernel_size=(3, 3), padding='same')) model.add(BatchNormalization()) model.add(Activation('relu')) model.add(AveragePooling2D(pool_size=(2, 2), padding='same')) model.add(Dropout(.5)) model.add(Convolution2D(filters=256, kernel_size=(3, 3), padding='same')) model.add(BatchNormalization()) model.add(Convolution2D(filters=num_classes, kernel_size=(3, 3), padding='same')) model.add(GlobalAveragePooling2D()) model.add(Activation('softmax',name='predictions')) return model def simpler_CNN(input_shape, num_classes): model = Sequential() model.add(Convolution2D(filters=16, kernel_size=(5, 5), padding='same', name='image_array', input_shape=input_shape)) model.add(BatchNormalization()) model.add(Convolution2D(filters=16, kernel_size=(5, 5), strides=(2, 2), padding='same')) model.add(BatchNormalization()) model.add(Activation('relu')) model.add(Dropout(.25)) model.add(Convolution2D(filters=32, kernel_size=(5, 5), padding='same')) model.add(BatchNormalization()) model.add(Convolution2D(filters=32, kernel_size=(5, 5), strides=(2, 2), padding='same')) model.add(BatchNormalization()) model.add(Activation('relu')) model.add(Dropout(.25)) model.add(Convolution2D(filters=64, kernel_size=(3, 3), padding='same')) model.add(BatchNormalization()) model.add(Convolution2D(filters=64, kernel_size=(3, 3), strides=(2, 2), padding='same')) model.add(BatchNormalization()) model.add(Activation('relu')) model.add(Dropout(.25)) model.add(Convolution2D(filters=64, kernel_size=(1, 1), padding='same')) model.add(BatchNormalization()) model.add(Convolution2D(filters=128, kernel_size=(3, 3), strides=(2, 2), padding='same')) model.add(BatchNormalization()) model.add(Activation('relu')) model.add(Dropout(.25)) model.add(Convolution2D(filters=256, kernel_size=(1, 1), padding='same')) model.add(BatchNormalization()) model.add(Convolution2D(filters=128, kernel_size=(3, 3), strides=(2, 2), padding='same')) model.add(Convolution2D(filters=256, kernel_size=(1, 1), padding='same')) model.add(BatchNormalization()) model.add(Convolution2D(filters=num_classes, kernel_size=(3, 3), strides=(2, 2), padding='same')) model.add(Flatten()) #model.add(GlobalAveragePooling2D()) model.add(Activation('softmax',name='predictions')) return model def tiny_XCEPTION(input_shape, num_classes, l2_regularization=0.01): regularization = l2(l2_regularization) # base img_input = Input(input_shape) x = Conv2D(5, (3, 3), strides=(1, 1), kernel_regularizer=regularization, use_bias=False)(img_input) x = BatchNormalization()(x) x = Activation('relu')(x) x = Conv2D(5, (3, 3), strides=(1, 1), kernel_regularizer=regularization, use_bias=False)(x) x = BatchNormalization()(x) x = Activation('relu')(x) # module 1 residual = Conv2D(8, (1, 1), strides=(2, 2), padding='same', use_bias=False)(x) residual = BatchNormalization()(residual) x = SeparableConv2D(8, (3, 3), padding='same', kernel_regularizer=regularization, use_bias=False)(x) x = BatchNormalization()(x) x = Activation('relu')(x) x = SeparableConv2D(8, (3, 3), padding='same', kernel_regularizer=regularization, use_bias=False)(x) x = BatchNormalization()(x) x = MaxPooling2D((3, 3), strides=(2, 2), padding='same')(x) x = layers.add([x, residual]) # module 2 residual = Conv2D(16, (1, 1), strides=(2, 2), padding='same', use_bias=False)(x) residual = BatchNormalization()(residual) x = SeparableConv2D(16, (3, 3), padding='same', kernel_regularizer=regularization, use_bias=False)(x) x = BatchNormalization()(x) x = Activation('relu')(x) x = SeparableConv2D(16, (3, 3), padding='same', kernel_regularizer=regularization, use_bias=False)(x) x = BatchNormalization()(x) x = MaxPooling2D((3, 3), strides=(2, 2), padding='same')(x) x = layers.add([x, residual]) # module 3 residual = Conv2D(32, (1, 1), strides=(2, 2), padding='same', use_bias=False)(x) residual = BatchNormalization()(residual) x = SeparableConv2D(32, (3, 3), padding='same', kernel_regularizer=regularization, use_bias=False)(x) x = BatchNormalization()(x) x = Activation('relu')(x) x = SeparableConv2D(32, (3, 3), padding='same', kernel_regularizer=regularization, use_bias=False)(x) x = BatchNormalization()(x) x = MaxPooling2D((3, 3), strides=(2, 2), padding='same')(x) x = layers.add([x, residual]) # module 4 residual = Conv2D(64, (1, 1), strides=(2, 2), padding='same', use_bias=False)(x) residual = BatchNormalization()(residual) x = SeparableConv2D(64, (3, 3), padding='same', kernel_regularizer=regularization, use_bias=False)(x) x = BatchNormalization()(x) x = Activation('relu')(x) x = SeparableConv2D(64, (3, 3), padding='same', kernel_regularizer=regularization, use_bias=False)(x) x = BatchNormalization()(x) x = MaxPooling2D((3, 3), strides=(2, 2), padding='same')(x) x = layers.add([x, residual]) x = Conv2D(num_classes, (3, 3), #kernel_regularizer=regularization, padding='same')(x) x = GlobalAveragePooling2D()(x) output = Activation('softmax',name='predictions')(x) model = Model(img_input, output) return model def mini_XCEPTION(input_shape, num_classes, l2_regularization=0.01): regularization = l2(l2_regularization) # base img_input = Input(input_shape) x = Conv2D(8, (3, 3), strides=(1, 1), kernel_regularizer=regularization, use_bias=False)(img_input) x = BatchNormalization()(x) x = Activation('relu')(x) x = Conv2D(8, (3, 3), strides=(1, 1), kernel_regularizer=regularization, use_bias=False)(x) x = BatchNormalization()(x) x = Activation('relu')(x) # module 1 residual = Conv2D(16, (1, 1), strides=(2, 2), padding='same', use_bias=False)(x) residual = BatchNormalization()(residual) x = SeparableConv2D(16, (3, 3), padding='same', kernel_regularizer=regularization, use_bias=False)(x) x = BatchNormalization()(x) x = Activation('relu')(x) x = SeparableConv2D(16, (3, 3), padding='same', kernel_regularizer=regularization, use_bias=False)(x) x = BatchNormalization()(x) x = MaxPooling2D((3, 3), strides=(2, 2), padding='same')(x) x = layers.add([x, residual]) # module 2 residual = Conv2D(32, (1, 1), strides=(2, 2), padding='same', use_bias=False)(x) residual = BatchNormalization()(residual) x = SeparableConv2D(32, (3, 3), padding='same', kernel_regularizer=regularization, use_bias=False)(x) x = BatchNormalization()(x) x = Activation('relu')(x) x = SeparableConv2D(32, (3, 3), padding='same', kernel_regularizer=regularization, use_bias=False)(x) x = BatchNormalization()(x) x = MaxPooling2D((3, 3), strides=(2, 2), padding='same')(x) x = layers.add([x, residual]) # module 3 residual = Conv2D(64, (1, 1), strides=(2, 2), padding='same', use_bias=False)(x) residual = BatchNormalization()(residual) x = SeparableConv2D(64, (3, 3), padding='same', kernel_regularizer=regularization, use_bias=False)(x) x = BatchNormalization()(x) x = Activation('relu')(x) x = SeparableConv2D(64, (3, 3), padding='same', kernel_regularizer=regularization, use_bias=False)(x) x = BatchNormalization()(x) x = MaxPooling2D((3, 3), strides=(2, 2), padding='same')(x) x = layers.add([x, residual]) # module 4 residual = Conv2D(128, (1, 1), strides=(2, 2), padding='same', use_bias=False)(x) residual = BatchNormalization()(residual) x = SeparableConv2D(128, (3, 3), padding='same', kernel_regularizer=regularization, use_bias=False)(x) x = BatchNormalization()(x) x = Activation('relu')(x) x = SeparableConv2D(128, (3, 3), padding='same', kernel_regularizer=regularization, use_bias=False)(x) x = BatchNormalization()(x) x = MaxPooling2D((3, 3), strides=(2, 2), padding='same')(x) x = layers.add([x, residual]) x = Conv2D(num_classes, (3, 3), #kernel_regularizer=regularization, padding='same')(x) x = GlobalAveragePooling2D()(x) output = Activation('softmax',name='predictions')(x) model = Model(img_input, output) return model def big_XCEPTION(input_shape, num_classes): img_input = Input(input_shape) x = Conv2D(32, (3, 3), strides=(2, 2), use_bias=False)(img_input) x = BatchNormalization(name='block1_conv1_bn')(x) x = Activation('relu', name='block1_conv1_act')(x) x = Conv2D(64, (3, 3), use_bias=False)(x) x = BatchNormalization(name='block1_conv2_bn')(x) x = Activation('relu', name='block1_conv2_act')(x) residual = Conv2D(128, (1, 1), strides=(2, 2), padding='same', use_bias=False)(x) residual = BatchNormalization()(residual) x = SeparableConv2D(128, (3, 3), padding='same', use_bias=False)(x) x = BatchNormalization(name='block2_sepconv1_bn')(x) x = Activation('relu', name='block2_sepconv2_act')(x) x = SeparableConv2D(128, (3, 3), padding='same', use_bias=False)(x) x = BatchNormalization(name='block2_sepconv2_bn')(x) x = MaxPooling2D((3, 3), strides=(2, 2), padding='same')(x) x = layers.add([x, residual]) residual = Conv2D(256, (1, 1), strides=(2, 2), padding='same', use_bias=False)(x) residual = BatchNormalization()(residual) x = Activation('relu', name='block3_sepconv1_act')(x) x = SeparableConv2D(256, (3, 3), padding='same', use_bias=False)(x) x = BatchNormalization(name='block3_sepconv1_bn')(x) x = Activation('relu', name='block3_sepconv2_act')(x) x = SeparableConv2D(256, (3, 3), padding='same', use_bias=False)(x) x = BatchNormalization(name='block3_sepconv2_bn')(x) x = MaxPooling2D((3, 3), strides=(2, 2), padding='same')(x) x = layers.add([x, residual]) x = Conv2D(num_classes, (3, 3), #kernel_regularizer=regularization, padding='same')(x) x = GlobalAveragePooling2D()(x) output = Activation('softmax',name='predictions')(x) model = Model(img_input, output) return model <<<<<<< HEAD def VGG16(input_shape, num_classes): weight_decay = 0.0005 #layer1 32*32*1 model = Sequential() model.add(Convolution2D(filters=64, kernel_size=(3, 3), padding='same', name='image_array', input_shape=input_shape)) #model.add(Conv2D(64, (3, 3), padding='same', #input_shape=(input_shape), kernel_regularizer=regularizers.l2(weight_decay))) model.add(Activation('relu')) model.add(BatchNormalization()) model.add(Dropout(0.3)) #layer2 32*32*64 model.add(Conv2D(64, (3, 3), padding='same',kernel_regularizer=regularizers.l2(weight_decay))) model.add(Activation('relu')) model.add(BatchNormalization()) model.add(MaxPooling2D(pool_size=(2, 2))) #layer3 16*16*64 model.add(Conv2D(128, (3, 3), padding='same',kernel_regularizer=regularizers.l2(weight_decay))) model.add(Activation('relu')) model.add(BatchNormalization()) model.add(Dropout(0.4)) #layer4 16*16*128 model.add(Conv2D(128, (3, 3), padding='same',kernel_regularizer=regularizers.l2(weight_decay))) model.add(Activation('relu')) model.add(BatchNormalization()) model.add(MaxPooling2D(pool_size=(2, 2))) #layer5 8*8*128 model.add(Conv2D(256, (3, 3), padding='same',kernel_regularizer=regularizers.l2(weight_decay))) model.add(Activation('relu')) model.add(BatchNormalization()) model.add(Dropout(0.4)) #layer6 8*8*256 model.add(Conv2D(256, (3, 3), padding='same',kernel_regularizer=regularizers.l2(weight_decay))) model.add(Activation('relu')) model.add(BatchNormalization()) model.add(Dropout(0.4)) #layer7 8*8*256 model.add(Conv2D(256, (3, 3), padding='same',kernel_regularizer=regularizers.l2(weight_decay))) model.add(Activation('relu')) model.add(BatchNormalization()) model.add(MaxPooling2D(pool_size=(2, 2))) #layer8 4*4*256 model.add(Conv2D(512, (3, 3), padding='same',kernel_regularizer=regularizers.l2(weight_decay))) model.add(Activation('relu')) model.add(BatchNormalization()) model.add(Dropout(0.4)) #layer9 4*4*512 model.add(Conv2D(512, (3, 3), padding='same',kernel_regularizer=regularizers.l2(weight_decay))) model.add(Activation('relu')) model.add(BatchNormalization()) model.add(Dropout(0.4)) #layer10 4*4*512 model.add(Conv2D(512, (3, 3), padding='same',kernel_regularizer=regularizers.l2(weight_decay))) model.add(Activation('relu')) model.add(BatchNormalization()) model.add(MaxPooling2D(pool_size=(2, 2))) #layer11 2*2*512 model.add(Conv2D(512, (3, 3), padding='same',kernel_regularizer=regularizers.l2(weight_decay))) model.add(Activation('relu')) model.add(BatchNormalization()) model.add(Dropout(0.4)) #layer12 2*2*512 model.add(Conv2D(512, (3, 3), padding='same',kernel_regularizer=regularizers.l2(weight_decay))) model.add(Activation('relu')) model.add(BatchNormalization()) model.add(Dropout(0.4)) #layer13 2*2*512 model.add(Conv2D(512, (3, 3), padding='same',kernel_regularizer=regularizers.l2(weight_decay))) model.add(Activation('relu')) model.add(BatchNormalization()) model.add(MaxPooling2D(pool_size=(2, 2))) model.add(Dropout(0.5)) #layer14 1*1*512 model.add(Flatten()) model.add(Dense(512,kernel_regularizer=regularizers.l2(weight_decay))) model.add(Activation('relu')) model.add(BatchNormalization()) #layer15 512 model.add(Dense(512,kernel_regularizer=regularizers.l2(weight_decay))) model.add(Activation('relu')) model.add(BatchNormalization()) #layer16 512 model.add(Dropout(0.5)) model.add(Dense(7)) model.add(Activation('softmax',name='predictions')) #model.add(Activation('softmax')) # 10 return model def resnet_50(input_shape, num_classes): img_input = Input(input_shape) x = ZeroPadding2D((3, 3))(img_input) x = Conv2d_BN(x, nb_filter=64, kernel_size=(7, 7), strides=(2, 2), padding='valid') x = MaxPooling2D(pool_size=(3, 3), strides=(2, 2), padding='same')(x) #conv2_x x = bottleneck_Block(x, nb_filters=[64,64,256],strides=(1,1),with_conv_shortcut=True) x = bottleneck_Block(x, nb_filters=[64,64,256]) x = bottleneck_Block(x, nb_filters=[64,64,256]) #conv3_x x = bottleneck_Block(x, nb_filters=[128, 128, 512],strides=(2,2),with_conv_shortcut=True) x = bottleneck_Block(x, nb_filters=[128, 128, 512]) x = bottleneck_Block(x, nb_filters=[128, 128, 512]) x = bottleneck_Block(x, nb_filters=[128, 128, 512]) #conv4_x x = bottleneck_Block(x, nb_filters=[256, 256, 1024],strides=(2,2),with_conv_shortcut=True) x = bottleneck_Block(x, nb_filters=[256, 256, 1024]) x = bottleneck_Block(x, nb_filters=[256, 256, 1024]) x = bottleneck_Block(x, nb_filters=[256, 256, 1024]) x = bottleneck_Block(x, nb_filters=[256, 256, 1024]) x = bottleneck_Block(x, nb_filters=[256, 256, 1024]) #conv5_x x = bottleneck_Block(x, nb_filters=[512, 512, 2048], strides=(2, 2), with_conv_shortcut=True) x = bottleneck_Block(x, nb_filters=[512, 512, 2048]) x = bottleneck_Block(x, nb_filters=[512, 512, 2048]) x = AveragePooling2D(pool_size=(2, 2))(x) x = Flatten()(x) x = Dense(num_classes, activation='softmax')(x) model = Model(inputs=img_input, outputs=x) return model ======= >>>>>>> 0ad164512934b6ff8cf616e4588820dc0f9827a9 if __name__ == "__main__": input_shape = (64, 64, 1) num_classes = 7 #model = tiny_XCEPTION(input_shape, num_classes) #model.summary() #model = mini_XCEPTION(input_shape, num_classes) #model.summary() #model = big_XCEPTION(input_shape, num_classes) #model.summary() model = simple_CNN((48, 48, 1), num_classes) model.summary()
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8
e2f1b0d88710d59e067363e941384a30fdb9172f
8,931
py
Python
env/prv_project/prv_app/splitSent.py
GroovyCat/PRView-project
28d2e80dcc03f82316c68d8162f2ec96703cb503
[ "MIT" ]
1
2019-05-19T15:05:23.000Z
2019-05-19T15:05:23.000Z
env/prv_project/prv_app/splitSent.py
GroovyCat/PRView-project
28d2e80dcc03f82316c68d8162f2ec96703cb503
[ "MIT" ]
null
null
null
env/prv_project/prv_app/splitSent.py
GroovyCat/PRView-project
28d2e80dcc03f82316c68d8162f2ec96703cb503
[ "MIT" ]
null
null
null
''' 텍스트 데이터를 기반으로 한 문장을 분석하여 명사를 추출하고 빈도수 별로 순위를 매겨 저장하기 위한 모듈 이 모듈이 같은 폴더, 하위 폴더에 있을 시 from splitSen import get_tags(text: str, noun_count: int) 로 불러와서 tags = get_tags(text: str, noun_count: int) 로 사용하면 됩니다. 이 모듈이 상위 폴더에 있을 시 sys.path.append(os.path.dirname(os.path.abspath(os.path.dirname(__file__)))) 을 추가해 절대경로 추가 빈도 별 내림차순으로 정렬 된 리스트 반환 ''' from konlpy.tag import Okt from collections import Counter import matplotlib.pyplot as plt # 워드 클라우드 이미지 생성을 위한 import from wordcloud import WordCloud import random import numpy as np from PIL import Image def blue_color_func(word, font_size, position, orientation, random_state=None,**kwargs): return "hsl(955, 100%%, %d%%)" % random.randint(40, 100)#"hsl(색, 다양성, )" % random.radint(밝기,) #def grey_color_func(word, font_size, position, orientation, random_state=None,**kwargs): #return "hsl(0, 0%%, %d%%)" % random.randint(90, 100) def red_color_func(word, font_size, position, orientation, random_state=None,**kwargs): return "hsl(0, 100%%, %d%%)" % random.randint(60, 100) def get_tags_all_url(text, noun_count): spliter = Okt() nouns = spliter.nouns(text) # nouns 함수를 통해서 text에서 명사만 분리/추출 count = Counter(nouns) # Counter 객체를 생성하고 참조변수 nouns할당 return_list = {} # 명사와 빈도를 저장하기 위한 딕셔너리 # most_common 메소드는 정수를 입력받아 객체 안의 명사중 빈도 수가 # 큰 명사부터 순서대로 입력받은 정수 갯수만큼 저장되어있는 객체 반환 for n, c in count.most_common(noun_count): return_list[n] = c # {명사1 : 빈도, 명사2 : 빈도, 명사3 : 빈도 ...} 형식으로 딕셔너리 저장 market_mask = np.array(Image.open("C:/Python_basic/env/prv_project/prv_app/static/img/market.png"))#좋아요 mask font_path = 'C:/Python_basic/env/prv_project/prv_app/Maplestory_Bold.ttf'#글꼴 경로 설정 wordcloud = WordCloud(font_path = font_path, width = 800, height = 800, background_color="white",# contour_width=1,#테두리 굵기 contour_color='black',#테두리 mask = market_mask #마스크 설정 ) wordcloud = wordcloud.generate_from_frequencies(return_list)#워드클라우드 생 array = wordcloud.to_array() fig = plt.figure(figsize=(10, 10)) plt.imshow(array, interpolation="bilinear") plt.axis("off") # x, y 축의 scale을 안 보이도록 함 #plt.show() # 생성한 워드 클라우드를 출력한다. 결과 확인용, 최종적으로는 없애도 되는 코드 fig.savefig('C:/Python_basic/env/prv_project/prv_app/static/img_all/url_all.png') # 해당 이름으로 png 저장 def get_tags_pos_url(text, noun_count): spliter = Okt() nouns = spliter.nouns(text) # nouns 함수를 통해서 text에서 명사만 분리/추출 count = Counter(nouns) # Counter 객체를 생성하고 참조변수 nouns할당 return_list = {} # 명사와 빈도를 저장하기 위한 딕셔너리 # most_common 메소드는 정수를 입력받아 객체 안의 명사중 빈도 수가 # 큰 명사부터 순서대로 입력받은 정수 갯수만큼 저장되어있는 객체 반환 for n, c in count.most_common(noun_count): return_list[n] = c # {명사1 : 빈도, 명사2 : 빈도, 명사3 : 빈도 ...} 형식으로 딕셔너리 저장 like_mask = np.array(Image.open("C:/Python_basic/env/prv_project/prv_app/static/img/like.png"))#좋아요 mask font_path = 'C:/Python_basic/env/prv_project/prv_app/Maplestory_Bold.ttf'#글꼴 경로 설정 wordcloud = WordCloud(font_path = font_path, width = 800, height = 800, background_color="white",# contour_width=1,#테두리 굵기 contour_color='steelblue',#테두리 mask = like_mask #마스크 설정 ) wordcloud = wordcloud.generate_from_frequencies(return_list)#워드클라우드 생성 array = wordcloud.to_array() fig = plt.figure(figsize=(10, 10)) plt.imshow(wordcloud.recolor(color_func=blue_color_func, random_state=3),interpolation="bilinear") plt.axis("off") # x, y 축의 scale을 안 보이도록 함 #plt.show() # 생성한 워드 클라우드를 출력한다. 결과 확인용, 최종적으로는 없애도 되는 코드 fig.savefig('C:/Python_basic/env/prv_project/prv_app/static/img_pos/url_pos.png') # 해당 이름으로 png 저장 def get_tags_neg_url(text, noun_count): spliter = Okt() nouns = spliter.nouns(text) # nouns 함수를 통해서 text에서 명사만 분리/추출 count = Counter(nouns) # Counter 객체를 생성하고 참조변수 nouns할당 return_list = {} # 명사와 빈도를 저장하기 위한 딕셔너리 # most_common 메소드는 정수를 입력받아 객체 안의 명사중 빈도 수가 # 큰 명사부터 순서대로 입력받은 정수 갯수만큼 저장되어있는 객체 반환 for n, c in count.most_common(noun_count): return_list[n] = c # {명사1 : 빈도, 명사2 : 빈도, 명사3 : 빈도 ...} 형식으로 딕셔너리 저장 dislike_mask = np.array(Image.open("C:/Python_basic/env/prv_project/prv_app/static/img/dislike.png"))#싫어요 mask font_path = 'C:/Python_basic/env/prv_project/prv_app/Maplestory_Bold.ttf'#글꼴 경로 설정 wordcloud = WordCloud(font_path = font_path, width = 800, height = 800, background_color="white",#바탕색 contour_width=1,#테두리 굵기 contour_color='red',#테두리색 mask = dislike_mask #마스크 설정 ) wordcloud = wordcloud.generate_from_frequencies(return_list)#워드클라우드 생성 array = wordcloud.to_array() fig = plt.figure(figsize=(10, 10)) plt.imshow(wordcloud.recolor(color_func=red_color_func, random_state=3),interpolation="bilinear") plt.axis("off") # x, y 축의 scale을 안 보이도록 함 #plt.show() # 생성한 워드 클라우드를 출력한다. 결과 확인용, 최종적으로는 없애도 되는 코드 fig.savefig('C:/Python_basic/env/prv_project/prv_app/static/img_neg/url_neg.png') # 해당 이름으로 png 저장 def get_tags_all_movie(text, noun_count): spliter = Okt() nouns = spliter.nouns(text) # nouns 함수를 통해서 text에서 명사만 분리/추출 count = Counter(nouns) # Counter 객체를 생성하고 참조변수 nouns할당 return_list = {} # 명사와 빈도를 저장하기 위한 딕셔너리 # most_common 메소드는 정수를 입력받아 객체 안의 명사중 빈도 수가 # 큰 명사부터 순서대로 입력받은 정수 갯수만큼 저장되어있는 객체 반환 for n, c in count.most_common(noun_count): return_list[n] = c # {명사1 : 빈도, 명사2 : 빈도, 명사3 : 빈도 ...} 형식으로 딕셔너리 저장 movie_mask = np.array(Image.open("C:/Python_basic/env/prv_project/prv_app/static/img/movie.png")) font_path = 'C:/Python_basic/env/prv_project/prv_app/Maplestory_Bold.ttf'#글꼴 경로 설정 wordcloud = WordCloud(font_path = font_path, width = 800, height = 800, background_color="white",#바탕색 contour_width=1,#테두리 굵기 contour_color='black',#테두리색 mask = movie_mask #마스크 설정 ) wordcloud = wordcloud.generate_from_frequencies(return_list) array = wordcloud.to_array() fig = plt.figure(figsize=(10, 10)) plt.imshow(array, interpolation="bilinear") plt.axis("off") # x, y 축의 scale을 안 보이도록 함 #plt.show() # 생성한 워드 클라우드를 출력한다. 결과 확인용, 최종적으로는 없애도 되는 코드 fig.savefig('C:/Python_basic/env/prv_project/prv_app/static/img_all/movie_all.png') # 해당 이름으로 png 저장 def get_tags_pos_movie(text, noun_count): spliter = Okt() nouns = spliter.nouns(text) # nouns 함수를 통해서 text에서 명사만 분리/추출 count = Counter(nouns) # Counter 객체를 생성하고 참조변수 nouns할당 return_list = {} # 명사와 빈도를 저장하기 위한 딕셔너리 # most_common 메소드는 정수를 입력받아 객체 안의 명사중 빈도 수가 # 큰 명사부터 순서대로 입력받은 정수 갯수만큼 저장되어있는 객체 반환 for n, c in count.most_common(noun_count): return_list[n] = c # {명사1 : 빈도, 명사2 : 빈도, 명사3 : 빈도 ...} 형식으로 딕셔너리 저장 like_mask = np.array(Image.open("C:/Python_basic/env/prv_project/prv_app/static/img/like.png"))#좋아요 mask font_path = 'C:/Python_basic/env/prv_project/prv_app/Maplestory_Bold.ttf'#글꼴 경로 설정 wordcloud = WordCloud(font_path = font_path, width = 800, height = 800, background_color="white",# contour_width=1,#테두리 굵기 contour_color='steelblue',#테두리 mask = like_mask #마스크 설정 ) wordcloud = wordcloud.generate_from_frequencies(return_list)#워드클라우드 생성 array = wordcloud.to_array() fig = plt.figure(figsize=(10, 10)) plt.imshow(wordcloud.recolor(color_func=blue_color_func, random_state=3),interpolation="bilinear") plt.axis("off") # x, y 축의 scale을 안 보이도록 함 #plt.show() # 생성한 워드 클라우드를 출력한다. 결과 확인용, 최종적으로는 없애도 되는 코드 fig.savefig('C:/Python_basic/env/prv_project/prv_app/static/img_pos/movie_pos.png') # 해당 이름으로 png 저장 def get_tags_neg_movie(text, noun_count): spliter = Okt() nouns = spliter.nouns(text) # nouns 함수를 통해서 text에서 명사만 분리/추출 count = Counter(nouns) # Counter 객체를 생성하고 참조변수 nouns할당 return_list = {} # 명사와 빈도를 저장하기 위한 딕셔너리 # most_common 메소드는 정수를 입력받아 객체 안의 명사중 빈도 수가 # 큰 명사부터 순서대로 입력받은 정수 갯수만큼 저장되어있는 객체 반환 for n, c in count.most_common(noun_count): return_list[n] = c # {명사1 : 빈도, 명사2 : 빈도, 명사3 : 빈도 ...} 형식으로 딕셔너리 저장 dislike_mask = np.array(Image.open("C:/Python_basic/env/prv_project/prv_app/static/img/dislike.png"))#싫어요 mask font_path = 'C:/Python_basic/env/prv_project/prv_app/Maplestory_Bold.ttf'#글꼴 경로 설정 wordcloud = WordCloud(font_path = font_path, width = 800, height = 800, background_color="white",#바탕색 contour_width=1,#테두리 굵기 contour_color='red',#테두리색 mask = dislike_mask #마스크 설정 ) wordcloud = wordcloud.generate_from_frequencies(return_list)#워드클라우드 생성 array = wordcloud.to_array() fig = plt.figure(figsize=(10, 10)) plt.imshow(wordcloud.recolor(color_func=red_color_func, random_state=3),interpolation="bilinear") plt.axis("off") # x, y 축의 scale을 안 보이도록 함 #plt.show() # 생성한 워드 클라우드를 출력한다. 결과 확인용, 최종적으로는 없애도 되는 코드 fig.savefig('C:/Python_basic/env/prv_project/prv_app/static/img_neg/movie_neg.png') # 해당 이름으로 png 저장
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1a67f65d6e202e6504998e041cbbd01f668fe00e
8,509
py
Python
net/convnet.py
TrueNobility303/image-classification-CIFAR10
e0200d9b4d4f6ceaf058177abebd3f6510aebd9a
[ "MIT" ]
2
2021-06-10T16:19:50.000Z
2021-06-16T10:55:14.000Z
net/convnet.py
TrueNobility303/image-classification-CIFAR10
e0200d9b4d4f6ceaf058177abebd3f6510aebd9a
[ "MIT" ]
null
null
null
net/convnet.py
TrueNobility303/image-classification-CIFAR10
e0200d9b4d4f6ceaf058177abebd3f6510aebd9a
[ "MIT" ]
null
null
null
import torch.nn as nn import torch.nn.functional as F import torch import torchvision from torchvision import models from torchsummary import summary from config import device class ConvNet(nn.Module): def __init__(self, n_classes=10): super().__init__() self.n_classes = n_classes self.conv_block1 = nn.Sequential( nn.Conv2d(3, 64, 3, padding=1), nn.ReLU(inplace=True), nn.Conv2d(64, 64, 3, padding=1), nn.ReLU(inplace=True), nn.MaxPool2d(2, stride=2, ceil_mode=True), ) self.conv_block2 = nn.Sequential( nn.Conv2d(64, 128, 3, padding=1), nn.ReLU(inplace=True), nn.Conv2d(128, 128, 3, padding=1), nn.ReLU(inplace=True), nn.MaxPool2d(2, stride=2, ceil_mode=True), ) self.conv_block3 = nn.Sequential( nn.Conv2d(128, 256, 3, padding=1), nn.ReLU(inplace=True), nn.Conv2d(256, 256, 3, padding=1), nn.ReLU(inplace=True), nn.Conv2d(256, 256, 3, padding=1), nn.ReLU(inplace=True), nn.MaxPool2d(2, stride=2, ceil_mode=True), ) self.classifier = nn.Sequential( nn.Linear(4*4*256, 4096), nn.ReLU(inplace=True), nn.Dropout(), nn.Linear(4096, 1024), nn.ReLU(inplace=True), nn.Dropout(), nn.Linear(1024, self.n_classes), ) def forward(self,x): n_batch = x.shape[0] x = self.conv_block1(x) x = self.conv_block2(x) x = self.conv_block3(x) x = x.view(n_batch,-1) y = self.classifier(x) return y class ConvNet_Sigmoid(nn.Module): def __init__(self, n_classes=10): super().__init__() self.n_classes = n_classes self.conv_block1 = nn.Sequential( nn.Conv2d(3, 64, 3, padding=1), nn.Sigmoid(), nn.Conv2d(64, 64, 3, padding=1), nn.Sigmoid(), nn.MaxPool2d(2, stride=2, ceil_mode=True), ) self.conv_block2 = nn.Sequential( nn.Conv2d(64, 128, 3, padding=1), nn.Sigmoid(), nn.Conv2d(128, 128, 3, padding=1), nn.Sigmoid(), nn.MaxPool2d(2, stride=2, ceil_mode=True), ) self.conv_block3 = nn.Sequential( nn.Conv2d(128, 256, 3, padding=1), nn.Sigmoid(), nn.Conv2d(256, 256, 3, padding=1), nn.Sigmoid(), nn.Conv2d(256, 256, 3, padding=1), nn.Sigmoid(), nn.MaxPool2d(2, stride=2, ceil_mode=True), ) self.classifier = nn.Sequential( nn.Linear(4*4*256, 4096), nn.Sigmoid(), nn.Dropout(), nn.Linear(4096, 1024), nn.Sigmoid(), nn.Dropout(), nn.Linear(1024, self.n_classes), ) def forward(self,x): n_batch = x.shape[0] x = self.conv_block1(x) x = self.conv_block2(x) x = self.conv_block3(x) x = x.view(n_batch,-1) y = self.classifier(x) return y class ConvNet_Tanh(nn.Module): def __init__(self, n_classes=10): super().__init__() self.n_classes = n_classes self.conv_block1 = nn.Sequential( nn.Conv2d(3, 64, 3, padding=1), nn.Tanh(), nn.Conv2d(64, 64, 3, padding=1), nn.Tanh(), nn.MaxPool2d(2, stride=2, ceil_mode=True), ) self.conv_block2 = nn.Sequential( nn.Conv2d(64, 128, 3, padding=1), nn.Tanh(), nn.Conv2d(128, 128, 3, padding=1), nn.Tanh(), nn.MaxPool2d(2, stride=2, ceil_mode=True), ) self.conv_block3 = nn.Sequential( nn.Conv2d(128, 256, 3, padding=1), nn.Tanh(), nn.Conv2d(256, 256, 3, padding=1), nn.Tanh(), nn.Conv2d(256, 256, 3, padding=1), nn.Tanh(), nn.MaxPool2d(2, stride=2, ceil_mode=True), ) self.classifier = nn.Sequential( nn.Linear(4*4*256, 4096), nn.Tanh(), nn.Dropout(), nn.Linear(4096, 1024), nn.Tanh(), nn.Dropout(), nn.Linear(1024, self.n_classes), ) def forward(self,x): n_batch = x.shape[0] x = self.conv_block1(x) x = self.conv_block2(x) x = self.conv_block3(x) x = x.view(n_batch,-1) y = self.classifier(x) return y class ConvNet_Elu(nn.Module): def __init__(self, n_classes=10): super().__init__() self.n_classes = n_classes self.conv_block1 = nn.Sequential( nn.Conv2d(3, 64, 3, padding=1), nn.ELU(inplace=True), nn.Conv2d(64, 64, 3, padding=1), nn.ELU(inplace=True), nn.MaxPool2d(2, stride=2, ceil_mode=True), ) self.conv_block2 = nn.Sequential( nn.Conv2d(64, 128, 3, padding=1), nn.ELU(inplace=True), nn.Conv2d(128, 128, 3, padding=1), nn.ELU(inplace=True), nn.MaxPool2d(2, stride=2, ceil_mode=True), ) self.conv_block3 = nn.Sequential( nn.Conv2d(128, 256, 3, padding=1), nn.ELU(inplace=True), nn.Conv2d(256, 256, 3, padding=1), nn.ELU(inplace=True), nn.Conv2d(256, 256, 3, padding=1), nn.ELU(inplace=True), nn.MaxPool2d(2, stride=2, ceil_mode=True), ) self.classifier = nn.Sequential( nn.Linear(4*4*256, 4096), nn.ELU(inplace=True), nn.Dropout(), nn.Linear(4096, 1024), nn.ELU(inplace=True), nn.Dropout(), nn.Linear(1024, self.n_classes), ) def forward(self,x): n_batch = x.shape[0] x = self.conv_block1(x) x = self.conv_block2(x) x = self.conv_block3(x) x = x.view(n_batch,-1) y = self.classifier(x) return y class ConvNet_Big(nn.Module): def __init__(self, n_classes=10): super().__init__() self.n_classes = n_classes self.conv_block1 = nn.Sequential( nn.Conv2d(3, 64, 5, padding=2), nn.MaxPool2d(2, stride=2, ceil_mode=True), ) self.conv_block2 = nn.Sequential( nn.Conv2d(64, 128, 5, padding=2), nn.MaxPool2d(2, stride=2, ceil_mode=True), ) self.conv_block3 = nn.Sequential( nn.Conv2d(128, 256, 5, padding=2), nn.ReLU(inplace=True), nn.Conv2d(256, 256, 5, padding=2), nn.ReLU(inplace=True), nn.MaxPool2d(2, stride=2, ceil_mode=True), ) self.classifier = nn.Sequential( nn.Linear(4*4*256, 4096), nn.ReLU(inplace=True), nn.Dropout(), nn.Linear(4096, 1024), nn.ReLU(inplace=True), nn.Dropout(), nn.Linear(1024, self.n_classes), ) def forward(self,x): n_batch = x.shape[0] x = self.conv_block1(x) x = self.conv_block2(x) x = self.conv_block3(x) x = x.view(n_batch,-1) y = self.classifier(x) return y class ConvNet_Bigger(nn.Module): def __init__(self, n_classes=10): super().__init__() self.n_classes = n_classes self.conv_block1 = nn.Sequential( nn.Conv2d(3, 64, 5, padding=2), nn.MaxPool2d(2, stride=2, ceil_mode=True), ) self.conv_block2 = nn.Sequential( nn.Conv2d(64, 128, 5, padding=2), nn.MaxPool2d(2, stride=2, ceil_mode=True), ) self.conv_block3 = nn.Sequential( nn.Conv2d(128, 256, 7, padding=3), nn.MaxPool2d(2, stride=2, ceil_mode=True), ) self.classifier = nn.Sequential( nn.Linear(4*4*256, 4096), nn.ReLU(inplace=True), nn.Dropout(), nn.Linear(4096, 1024), nn.ReLU(inplace=True), nn.Dropout(), nn.Linear(1024, self.n_classes), ) def forward(self,x): n_batch = x.shape[0] x = self.conv_block1(x) x = self.conv_block2(x) x = self.conv_block3(x) x = x.view(n_batch,-1) y = self.classifier(x) return y
29.341379
54
0.510753
1,105
8,509
3.80362
0.057919
0.068522
0.059957
0.073281
0.95408
0.95408
0.948846
0.930764
0.914823
0.892934
0
0.094798
0.351628
8,509
289
55
29.442907
0.667029
0
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0.84127
0
0
0
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0
0
0
1
0.047619
false
0
0.027778
0
0.123016
0
0
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0
null
0
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1
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0
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0
0
0
0
0
0
0
0
7
1a8764d44b3e89475314d35c8965ba723db28cf8
5,602
py
Python
feats_extraction/logpowerspec.py
AmirmohammadRostami/ASV-anti-spoofing-with-EABN
ab0be6a013a72c62a2a9b17f517d1c8894afbece
[ "MIT" ]
2
2021-09-28T19:49:29.000Z
2021-10-04T07:49:04.000Z
feats_extraction/logpowerspec.py
AmirmohammadRostami/ASV-anti-spoofing-with-EABN
ab0be6a013a72c62a2a9b17f517d1c8894afbece
[ "MIT" ]
null
null
null
feats_extraction/logpowerspec.py
AmirmohammadRostami/ASV-anti-spoofing-with-EABN
ab0be6a013a72c62a2a9b17f517d1c8894afbece
[ "MIT" ]
1
2021-11-22T09:27:18.000Z
2021-11-22T09:27:18.000Z
import numpy as np import librosa from generic import stft, cqt, load_wav, preemphasis, load_wav_snf # def logpowspec(wav_path, sr=16000, n_fft=512, hop_length=160, win_length=400, window="hann", pre_emphasis=None, a_min=1e-30): # """Compute log power magnitude spectra (logspec). # Returns: # D:np.ndarray [shape=(t, 1 + n_fft/2), dtype=dtype] # """ # wav = load_wav_snf(wav_path) # if pre_emphasis is not None: # wav = preemphasis(wav, k=pre_emphasis) # spec = stft(wav, n_fft=n_fft, hop_length=hop_length, win_length=win_length, window=window) # mag_spec = np.abs(spec) # powspec = 1.0 / n_fft * np.square(mag_spec) # powspec[powspec <= a_min] = a_min # lps = 10 * np.log10(powspec) # return lps def logmagspec(wav_path, sr=16000, n_fft=512, hop_length=160, win_length=400, window="hann", pre_emphasis=None): """Compute log power magnitude spectra (logspec). Returns: D:np.ndarray [shape=(t, 1 + n_fft/2), dtype=dtype] """ wav = load_wav_snf(wav_path) if pre_emphasis is not None: wav = preemphasis(wav, k=pre_emphasis) spec = stft(wav, n_fft=n_fft, hop_length=hop_length, win_length=win_length, window=window) mag_spec = np.abs(spec) mag_spec[mag_spec <= 1e-30] = 1e-30 lms = 10 * np.log10(mag_spec) return lms def logpowcqt(wav_path, sr=16000, hop_length=512, n_bins=528, bins_per_octave=48, window="hann", fmin=3.5, pre_emphasis=0.97, ref=1.0, amin=1e-30, top_db=None): """Compute log power magnitude spectra (logspec). This computes the scaling ``10 * log10(S / ref)`` in a numerically stable way. Returns: D:np.ndarray [shape=(t, 1 + n_fft/2), dtype=dtype] ref : scalar or callable If scalar, the amplitude `abs(S)` is scaled relative to `ref`: `10 * log10(S / ref)`. Zeros in the output correspond to positions where `S == ref`. If callable, the reference value is computed as `ref(S)`. amin : float > 0 [scalar], ``S_db ~= 10 * log10(S) - 10 * log10(ref)`` minimum threshold for `abs(S)` and `ref` top_db : float >= 0 [scalar] threshold the output at `top_db` below the peak: ``max(10 * log10(S)) - top_db`` """ wav = load_wav_snf(wav_path) if pre_emphasis is not None: wav = preemphasis(wav, k=pre_emphasis) cqtfeats = cqt(wav, sr=sr, hop_length=hop_length, n_bins=n_bins, bins_per_octave=bins_per_octave, window=window, fmin=fmin) magcqt = np.abs(cqtfeats) powcqt = np.square(magcqt) logpowcqt = librosa.power_to_db(powcqt, ref, amin, top_db) return logpowcqt def logpowspec(wav_path, sr=16000, n_fft=512, hop_length=160, win_length=400, window="hann", pre_emphasis=0.97, ref=1.0, amin=1e-30, top_db=None): """Compute log power magnitude spectra (logspec). This computes the scaling ``10 * log10(S / ref)`` in a numerically stable way. Returns: D:np.ndarray [shape=(t, 1 + n_fft/2), dtype=dtype] ref : scalar or callable If scalar, the amplitude `abs(S)` is scaled relative to `ref`: `10 * log10(S / ref)`. Zeros in the output correspond to positions where `S == ref`. If callable, the reference value is computed as `ref(S)`. amin : float > 0 [scalar], ``S_db ~= 10 * log10(S) - 10 * log10(ref)`` minimum threshold for `abs(S)` and `ref` top_db : float >= 0 [scalar] threshold the output at `top_db` below the peak: ``max(10 * log10(S)) - top_db`` """ wav = load_wav_snf(wav_path) if pre_emphasis is not None: wav = preemphasis(wav, k=pre_emphasis) spec = stft(wav, n_fft=n_fft, hop_length=hop_length, win_length=win_length, window=window) # spec = spec[:-2, :] # TODO: check why there are two abnormal frames. mag_spec = np.abs(spec) powspec = np.square(mag_spec) logpowspec = librosa.power_to_db(powspec, ref, amin, top_db) return logpowspec def logpowspec_multichannel(wav_path, channel, sr=16000, n_fft=512, hop_length=160, win_length=400, window="hann", pre_emphasis=0.97, ref=1.0, amin=1e-30, top_db=None): """Compute log power magnitude spectra (logspec). This computes the scaling ``10 * log10(S / ref)`` in a numerically stable way. Returns: D:np.ndarray [shape=(t, 1 + n_fft/2), dtype=dtype] ref : scalar or callable If scalar, the amplitude `abs(S)` is scaled relative to `ref`: `10 * log10(S / ref)`. Zeros in the output correspond to positions where `S == ref`. If callable, the reference value is computed as `ref(S)`. amin : float > 0 [scalar], ``S_db ~= 10 * log10(S) - 10 * log10(ref)`` minimum threshold for `abs(S)` and `ref` top_db : float >= 0 [scalar] threshold the output at `top_db` below the peak: ``max(10 * log10(S)) - top_db`` """ wav = load_wav_snf(wav_path) try: wav = wav[:, channel] except: wav = wav if pre_emphasis is not None: wav = preemphasis(wav, k=pre_emphasis) spec = stft(wav, n_fft=n_fft, hop_length=hop_length, win_length=win_length, window=window) # spec = spec[:-2, :] # TODO: check why there are two abnormal frames. mag_spec = np.abs(spec) powspec = np.square(mag_spec) logpowspec = librosa.power_to_db(powspec, ref, amin, top_db) return logpowspec if __name__ == '__main__': wav_path = '/apdcephfs/private_nenali/lixu/Data_Source/ASVspoof2019/PA/ASVspoof2019_PA_train/flac/PA_T_0000001.flac' print(wav_path) lpcqt = logpowcqt(wav_path) print(lpcqt.shape)
43.426357
168
0.649054
873
5,602
3.996564
0.162658
0.020636
0.027515
0.018917
0.802522
0.797363
0.795357
0.795357
0.795357
0.795357
0
0.047488
0.221885
5,602
129
169
43.426357
0.752925
0.51678
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0
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false
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0.0625
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0.229167
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1
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0
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7
46fa5e4c71861bde7a2c016a3b37455650c5f1b6
12,658
py
Python
src/genie/libs/parser/iosxe/tests/ShowPlatformHardwareFedActiveQosQueuelabel2qmapQmapegressdataInterface/cli/equal/golden_output11_expected.py
nielsvanhooy/genieparser
9a1955749697a6777ca614f0af4d5f3a2c254ccd
[ "Apache-2.0" ]
null
null
null
src/genie/libs/parser/iosxe/tests/ShowPlatformHardwareFedActiveQosQueuelabel2qmapQmapegressdataInterface/cli/equal/golden_output11_expected.py
nielsvanhooy/genieparser
9a1955749697a6777ca614f0af4d5f3a2c254ccd
[ "Apache-2.0" ]
null
null
null
src/genie/libs/parser/iosxe/tests/ShowPlatformHardwareFedActiveQosQueuelabel2qmapQmapegressdataInterface/cli/equal/golden_output11_expected.py
nielsvanhooy/genieparser
9a1955749697a6777ca614f0af4d5f3a2c254ccd
[ "Apache-2.0" ]
null
null
null
expected_output ={0: {'queue': 1, 'threshold': 2, 'v_queue': 0}, 1: {'queue': 1, 'threshold': 2, 'v_queue': 0}, 2: {'queue': 1, 'threshold': 2, 'v_queue': 0}, 3: {'queue': 1, 'threshold': 2, 'v_queue': 0}, 4: {'queue': 1, 'threshold': 2, 'v_queue': 0}, 5: {'queue': 1, 'threshold': 2, 'v_queue': 0}, 6: {'queue': 1, 'threshold': 2, 'v_queue': 0}, 7: {'queue': 1, 'threshold': 2, 'v_queue': 0}, 8: {'queue': 1, 'threshold': 2, 'v_queue': 0}, 9: {'queue': 1, 'threshold': 2, 'v_queue': 0}, 10: {'queue': 1, 'threshold': 2, 'v_queue': 0}, 11: {'queue': 1, 'threshold': 2, 'v_queue': 0}, 12: {'queue': 1, 'threshold': 2, 'v_queue': 0}, 13: {'queue': 1, 'threshold': 2, 'v_queue': 0}, 14: {'queue': 1, 'threshold': 2, 'v_queue': 0}, 15: {'queue': 1, 'threshold': 2, 'v_queue': 0}, 16: {'queue': 1, 'threshold': 2, 'v_queue': 0}, 17: {'queue': 0, 'threshold': 0, 'v_queue': 0}, 18: {'queue': 1, 'threshold': 2, 'v_queue': 0}, 19: {'queue': 1, 'threshold': 2, 'v_queue': 0}, 20: {'queue': 1, 'threshold': 2, 'v_queue': 0}, 21: {'queue': 1, 'threshold': 2, 'v_queue': 0}, 22: {'queue': 1, 'threshold': 2, 'v_queue': 0}, 23: {'queue': 1, 'threshold': 2, 'v_queue': 0}, 24: {'queue': 1, 'threshold': 2, 'v_queue': 0}, 25: {'queue': 0, 'threshold': 0, 'v_queue': 0}, 26: {'queue': 1, 'threshold': 2, 'v_queue': 0}, 27: {'queue': 1, 'threshold': 2, 'v_queue': 0}, 28: {'queue': 1, 'threshold': 2, 'v_queue': 0}, 29: {'queue': 1, 'threshold': 2, 'v_queue': 0}, 30: {'queue': 1, 'threshold': 2, 'v_queue': 0}, 31: {'queue': 1, 'threshold': 2, 'v_queue': 0}, 32: {'queue': 1, 'threshold': 2, 'v_queue': 0}, 33: {'queue': 0, 'threshold': 0, 'v_queue': 0}, 34: {'queue': 1, 'threshold': 2, 'v_queue': 0}, 35: {'queue': 1, 'threshold': 2, 'v_queue': 0}, 36: {'queue': 1, 'threshold': 2, 'v_queue': 0}, 37: {'queue': 1, 'threshold': 2, 'v_queue': 0}, 38: {'queue': 1, 'threshold': 2, 'v_queue': 0}, 39: {'queue': 1, 'threshold': 2, 'v_queue': 0}, 40: {'queue': 1, 'threshold': 2, 'v_queue': 0}, 41: {'queue': 0, 'threshold': 0, 'v_queue': 0}, 42: {'queue': 1, 'threshold': 2, 'v_queue': 0}, 43: {'queue': 1, 'threshold': 2, 'v_queue': 0}, 44: {'queue': 1, 'threshold': 2, 'v_queue': 0}, 45: {'queue': 1, 'threshold': 2, 'v_queue': 0}, 46: {'queue': 1, 'threshold': 2, 'v_queue': 0}, 47: {'queue': 0, 'threshold': 0, 'v_queue': 0}, 48: {'queue': 1, 'threshold': 2, 'v_queue': 0}, 49: {'queue': 0, 'threshold': 1, 'v_queue': 0}, 50: {'queue': 1, 'threshold': 2, 'v_queue': 0}, 51: {'queue': 1, 'threshold': 2, 'v_queue': 0}, 52: {'queue': 1, 'threshold': 2, 'v_queue': 0}, 53: {'queue': 1, 'threshold': 2, 'v_queue': 0}, 54: {'queue': 1, 'threshold': 2, 'v_queue': 0}, 55: {'queue': 1, 'threshold': 2, 'v_queue': 0}, 56: {'queue': 1, 'threshold': 2, 'v_queue': 0}, 57: {'queue': 0, 'threshold': 1, 'v_queue': 0}, 58: {'queue': 1, 'threshold': 2, 'v_queue': 0}, 59: {'queue': 1, 'threshold': 2, 'v_queue': 0}, 60: {'queue': 1, 'threshold': 2, 'v_queue': 0}, 61: {'queue': 1, 'threshold': 2, 'v_queue': 0}, 62: 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Python
pmutt/tests/reaction/test_pmutt_reactions.py
wittregr/pMuTT
1678fd3d3a10d8ef5389c02970a7ebaa92fc7344
[ "MIT" ]
28
2018-10-29T17:44:30.000Z
2022-03-23T14:20:16.000Z
pmutt/tests/reaction/test_pmutt_reactions.py
wittregr/pMuTT
1678fd3d3a10d8ef5389c02970a7ebaa92fc7344
[ "MIT" ]
101
2018-10-18T19:49:30.000Z
2022-01-19T10:59:57.000Z
pmutt/tests/reaction/test_pmutt_reactions.py
wittregr/pMuTT
1678fd3d3a10d8ef5389c02970a7ebaa92fc7344
[ "MIT" ]
16
2018-12-15T17:01:21.000Z
2022-01-03T17:42:23.000Z
# -*- coding: utf-8 -*- """ pmutt.test_pmutt_reactions Tests for pmutt module """ import unittest from pmutt import constants as c from pmutt.statmech import StatMech, presets from pmutt.empirical.nasa import Nasa from pmutt.reaction import Reaction, Reactions class TestReactions(unittest.TestCase): def setUp(self): self.species_dict = { 'H2O': Nasa(name='H2O', T_low=200., T_mid=1000., T_high=3500., elements={ 'H': 2, 'O': 1 }, a_low=[ 4.19864056E+00, -2.03643410E-03, 6.52040211E-06, -5.48797062E-09, 1.77197817E-12, -3.02937267E+04, -8.49032208E-01 ], a_high=[ 3.03399249E+00, 2.17691804E-03, -1.64072518E-07, -9.70419870E-11, 1.68200992E-14, -3.00042971E+04, 4.96677010E+00 ]), 'H2': Nasa(name='H2', T_low=200., T_mid=1000., T_high=3500., elements={'H': 2}, a_low=[ 2.34433112E+00, 7.98052075E-03, -1.94781510E-05, 2.01572094E-08, -7.37611761E-12, -9.17935173E+02, 6.83010238E-01 ], a_high=[ 3.33727920E+00, -4.94024731E-05, 4.99456778E-07, -1.79566394E-10, 2.00255376E-14, -9.50158922E+02, -3.20502331E+00 ]), 'O2': Nasa(name='O2', T_low=200., T_mid=1000., T_high=3500., elements={'O': 2}, a_low=[ 3.78245636E+00, -2.99673416E-03, 9.84730201E-06, -9.68129509E-09, 3.24372837E-12, -1.06394356E+03, 3.65767573E+00 ], a_high=[ 3.28253784E+00, 1.48308754E-03, -7.57966669E-07, 2.09470555E-10, -2.16717794E-14, -1.08845772E+03, 5.45323129E+00 ]), 'O': Nasa(name='O', T_low=200., T_mid=1000., T_high=3500., elements={'O': 1}, a_low=[ 3.16826710E+00, -3.27931884E-03, 6.64306396E-06, -6.12806624E-09, 2.11265971E-12, 2.91222592E+04, 2.05193346E+00 ], a_high=[ 2.56942078E+00, -8.59741137E-05, 4.19484589E-08, -1.00177799E-11, 1.22833691E-15, 2.92175791E+04, 4.78433864E+00 ]), 'H': Nasa(name='H', T_low=200., T_mid=1000., T_high=3500., elements={'H': 1}, a_low=[ 2.50000000E+00, 7.05332819E-13, -1.99591964E-15, 2.30081632E-18, -9.27732332E-22, 2.54736599E+04, -4.46682853E-01 ], a_high=[ 2.50000001E+00, -2.30842973E-11, 1.61561948E-14, -4.73515235E-18, 4.98197357E-22, 2.54736599E+04, -4.46682914E-01 ]), 'OH': Nasa(name='OH', T_low=200., T_mid=1000., T_high=3500., elements={ 'O': 1, 'H': 1 }, a_high=[ 3.09288767E+00, 5.48429716E-04, 1.26505228E-07, -8.79461556E-11, 1.17412376E-14, 3.85865700E+03, 4.47669610E+00 ], a_low=[ 3.99201543E+00, -2.40131752E-03, 4.61793841E-06, -3.88113333E-09, 1.36411470E-12, 3.61508056E+03, -1.03925458E-01 ]) } self.reactions = Reactions(reactions=[ Reaction.from_string('O+2H=H2O', self.species_dict), Reaction.from_string('O+H2=H2O', self.species_dict), Reaction.from_string('OH+H=H2O', self.species_dict), Reaction.from_string('OH+0.5H2=H2O', self.species_dict), Reaction.from_string('0.5O+2H=H2O', self.species_dict), Reaction.from_string('0.5O2+H2=H2O', self.species_dict) ]) self.reactions_dict = { 'class': "<class 'pmutt.reaction.Reactions'>", 'reactions': [{'class': "<class 'pmutt.reaction.Reaction'>", 'products': [{'T_high': 3500.0, 'T_low': 200.0, 'T_mid': 1000.0, 'a_high': [3.03399249, 0.00217691804, -1.64072518e-07, -9.7041987e-11, 1.68200992e-14, -30004.2971, 4.9667701], 'a_low': [4.19864056, -0.0020364341, 6.52040211e-06, -5.48797062e-09, 1.77197817e-12, -30293.7267, -0.849032208], 'cat_site': None, 'class': "<class 'pmutt.empirical.nasa.Nasa'>", 'elements': {'H': 2, 'O': 1}, 'misc_models': None, 'model': None, 'n_sites': None, 'name': 'H2O', 'notes': None, 'phase': None, 'smiles': None, 'type': 'nasa'}], 'products_stoich': [1.0], 'reactants': [{'T_high': 3500.0, 'T_low': 200.0, 'T_mid': 1000.0, 'a_high': [2.56942078, -8.59741137e-05, 4.19484589e-08, -1.00177799e-11, 1.22833691e-15, 29217.5791, 4.78433864], 'a_low': [3.1682671, -0.00327931884, 6.64306396e-06, -6.12806624e-09, 2.11265971e-12, 29122.2592, 2.05193346], 'cat_site': None, 'class': "<class 'pmutt.empirical.nasa.Nasa'>", 'elements': {'O': 1}, 'misc_models': None, 'model': None, 'n_sites': None, 'name': 'O', 'notes': None, 'phase': None, 'smiles': None, 'type': 'nasa'}, {'T_high': 3500.0, 'T_low': 200.0, 'T_mid': 1000.0, 'a_high': [2.50000001, -2.30842973e-11, 1.61561948e-14, -4.73515235e-18, 4.98197357e-22, 25473.6599, -0.446682914], 'a_low': [2.5, 7.05332819e-13, -1.99591964e-15, 2.30081632e-18, -9.27732332e-22, 25473.6599, -0.446682853], 'cat_site': None, 'class': "<class 'pmutt.empirical.nasa.Nasa'>", 'elements': {'H': 1}, 'misc_models': None, 'model': None, 'n_sites': None, 'name': 'H', 'notes': None, 'phase': None, 'smiles': None, 'type': 'nasa'}], 'reactants_stoich': [1.0, 2.0], 'reaction_str': 'O+2H=H2O', 'transition_state': None, 'transition_state_stoich': None}, {'class': "<class 'pmutt.reaction.Reaction'>", 'products': [{'T_high': 3500.0, 'T_low': 200.0, 'T_mid': 1000.0, 'a_high': [3.03399249, 0.00217691804, -1.64072518e-07, -9.7041987e-11, 1.68200992e-14, -30004.2971, 4.9667701], 'a_low': [4.19864056, -0.0020364341, 6.52040211e-06, -5.48797062e-09, 1.77197817e-12, -30293.7267, -0.849032208], 'cat_site': None, 'class': "<class 'pmutt.empirical.nasa.Nasa'>", 'elements': {'H': 2, 'O': 1}, 'misc_models': None, 'model': None, 'n_sites': None, 'name': 'H2O', 'notes': None, 'phase': None, 'smiles': None, 'type': 'nasa'}], 'products_stoich': [1.0], 'reactants': [{'T_high': 3500.0, 'T_low': 200.0, 'T_mid': 1000.0, 'a_high': [2.56942078, -8.59741137e-05, 4.19484589e-08, -1.00177799e-11, 1.22833691e-15, 29217.5791, 4.78433864], 'a_low': [3.1682671, -0.00327931884, 6.64306396e-06, -6.12806624e-09, 2.11265971e-12, 29122.2592, 2.05193346], 'cat_site': None, 'class': "<class 'pmutt.empirical.nasa.Nasa'>", 'elements': {'O': 1}, 'misc_models': None, 'model': None, 'n_sites': None, 'name': 'O', 'notes': None, 'phase': None, 'smiles': None, 'type': 'nasa'}, {'T_high': 3500.0, 'T_low': 200.0, 'T_mid': 1000.0, 'a_high': [3.3372792, -4.94024731e-05, 4.99456778e-07, -1.79566394e-10, 2.00255376e-14, -950.158922, -3.20502331], 'a_low': [2.34433112, 0.00798052075, -1.9478151e-05, 2.01572094e-08, -7.37611761e-12, -917.935173, 0.683010238], 'cat_site': None, 'class': "<class 'pmutt.empirical.nasa.Nasa'>", 'elements': {'H': 2}, 'misc_models': None, 'model': None, 'n_sites': None, 'name': 'H2', 'notes': None, 'phase': None, 'smiles': None, 'type': 'nasa'}], 'reactants_stoich': [1.0, 1.0], 'reaction_str': 'O+H2=H2O', 'transition_state': None, 'transition_state_stoich': None}, {'class': "<class 'pmutt.reaction.Reaction'>", 'products': [{'T_high': 3500.0, 'T_low': 200.0, 'T_mid': 1000.0, 'a_high': [3.03399249, 0.00217691804, -1.64072518e-07, -9.7041987e-11, 1.68200992e-14, -30004.2971, 4.9667701], 'a_low': [4.19864056, -0.0020364341, 6.52040211e-06, -5.48797062e-09, 1.77197817e-12, -30293.7267, -0.849032208], 'cat_site': None, 'class': "<class 'pmutt.empirical.nasa.Nasa'>", 'elements': {'H': 2, 'O': 1}, 'misc_models': None, 'model': None, 'n_sites': None, 'name': 'H2O', 'notes': None, 'phase': None, 'smiles': None, 'type': 'nasa'}], 'products_stoich': [1.0], 'reactants': [{'T_high': 3500.0, 'T_low': 200.0, 'T_mid': 1000.0, 'a_high': [3.09288767, 0.000548429716, 1.26505228e-07, -8.79461556e-11, 1.17412376e-14, 3858.657, 4.4766961], 'a_low': [3.99201543, -0.00240131752, 4.61793841e-06, -3.88113333e-09, 1.3641147e-12, 3615.08056, -0.103925458], 'cat_site': None, 'class': "<class 'pmutt.empirical.nasa.Nasa'>", 'elements': {'H': 1, 'O': 1}, 'misc_models': None, 'model': None, 'n_sites': None, 'name': 'OH', 'notes': None, 'phase': None, 'smiles': None, 'type': 'nasa'}, {'T_high': 3500.0, 'T_low': 200.0, 'T_mid': 1000.0, 'a_high': [2.50000001, -2.30842973e-11, 1.61561948e-14, -4.73515235e-18, 4.98197357e-22, 25473.6599, -0.446682914], 'a_low': [2.5, 7.05332819e-13, -1.99591964e-15, 2.30081632e-18, -9.27732332e-22, 25473.6599, -0.446682853], 'cat_site': None, 'class': "<class 'pmutt.empirical.nasa.Nasa'>", 'elements': {'H': 1}, 'misc_models': None, 'model': None, 'n_sites': None, 'name': 'H', 'notes': None, 'phase': None, 'smiles': None, 'type': 'nasa'}], 'reactants_stoich': [1.0, 1.0], 'reaction_str': 'OH+H=H2O', 'transition_state': None, 'transition_state_stoich': None}, {'class': "<class 'pmutt.reaction.Reaction'>", 'products': [{'T_high': 3500.0, 'T_low': 200.0, 'T_mid': 1000.0, 'a_high': [3.03399249, 0.00217691804, -1.64072518e-07, -9.7041987e-11, 1.68200992e-14, -30004.2971, 4.9667701], 'a_low': [4.19864056, -0.0020364341, 6.52040211e-06, -5.48797062e-09, 1.77197817e-12, -30293.7267, -0.849032208], 'cat_site': None, 'class': "<class 'pmutt.empirical.nasa.Nasa'>", 'elements': {'H': 2, 'O': 1}, 'misc_models': None, 'model': None, 'n_sites': None, 'name': 'H2O', 'notes': None, 'phase': None, 'smiles': None, 'type': 'nasa'}], 'products_stoich': [1.0], 'reactants': [{'T_high': 3500.0, 'T_low': 200.0, 'T_mid': 1000.0, 'a_high': [3.09288767, 0.000548429716, 1.26505228e-07, -8.79461556e-11, 1.17412376e-14, 3858.657, 4.4766961], 'a_low': [3.99201543, -0.00240131752, 4.61793841e-06, -3.88113333e-09, 1.3641147e-12, 3615.08056, -0.103925458], 'cat_site': None, 'class': "<class 'pmutt.empirical.nasa.Nasa'>", 'elements': {'H': 1, 'O': 1}, 'misc_models': None, 'model': None, 'n_sites': None, 'name': 'OH', 'notes': None, 'phase': None, 'smiles': None, 'type': 'nasa'}, {'T_high': 3500.0, 'T_low': 200.0, 'T_mid': 1000.0, 'a_high': [3.3372792, -4.94024731e-05, 4.99456778e-07, -1.79566394e-10, 2.00255376e-14, -950.158922, -3.20502331], 'a_low': [2.34433112, 0.00798052075, -1.9478151e-05, 2.01572094e-08, -7.37611761e-12, -917.935173, 0.683010238], 'cat_site': None, 'class': "<class 'pmutt.empirical.nasa.Nasa'>", 'elements': {'H': 2}, 'misc_models': None, 'model': None, 'n_sites': None, 'name': 'H2', 'notes': None, 'phase': None, 'smiles': None, 'type': 'nasa'}], 'reactants_stoich': [1.0, 0.5], 'reaction_str': 'OH+0.50H2=H2O', 'transition_state': None, 'transition_state_stoich': None}, {'class': "<class 'pmutt.reaction.Reaction'>", 'products': [{'T_high': 3500.0, 'T_low': 200.0, 'T_mid': 1000.0, 'a_high': [3.03399249, 0.00217691804, -1.64072518e-07, -9.7041987e-11, 1.68200992e-14, -30004.2971, 4.9667701], 'a_low': [4.19864056, -0.0020364341, 6.52040211e-06, -5.48797062e-09, 1.77197817e-12, -30293.7267, -0.849032208], 'cat_site': None, 'class': "<class 'pmutt.empirical.nasa.Nasa'>", 'elements': {'H': 2, 'O': 1}, 'misc_models': None, 'model': None, 'n_sites': None, 'name': 'H2O', 'notes': None, 'phase': None, 'smiles': None, 'type': 'nasa'}], 'products_stoich': [1.0], 'reactants': [{'T_high': 3500.0, 'T_low': 200.0, 'T_mid': 1000.0, 'a_high': [2.56942078, -8.59741137e-05, 4.19484589e-08, -1.00177799e-11, 1.22833691e-15, 29217.5791, 4.78433864], 'a_low': [3.1682671, -0.00327931884, 6.64306396e-06, -6.12806624e-09, 2.11265971e-12, 29122.2592, 2.05193346], 'cat_site': None, 'class': "<class 'pmutt.empirical.nasa.Nasa'>", 'elements': {'O': 1}, 'misc_models': None, 'model': None, 'n_sites': None, 'name': 'O', 'notes': None, 'phase': None, 'smiles': None, 'type': 'nasa'}, {'T_high': 3500.0, 'T_low': 200.0, 'T_mid': 1000.0, 'a_high': [2.50000001, -2.30842973e-11, 1.61561948e-14, -4.73515235e-18, 4.98197357e-22, 25473.6599, -0.446682914], 'a_low': [2.5, 7.05332819e-13, -1.99591964e-15, 2.30081632e-18, -9.27732332e-22, 25473.6599, -0.446682853], 'cat_site': None, 'class': "<class 'pmutt.empirical.nasa.Nasa'>", 'elements': {'H': 1}, 'misc_models': None, 'model': None, 'n_sites': None, 'name': 'H', 'notes': None, 'phase': None, 'smiles': None, 'type': 'nasa'}], 'reactants_stoich': [0.5, 2.0], 'reaction_str': '0.50O+2H=H2O', 'transition_state': None, 'transition_state_stoich': None}, {'class': "<class 'pmutt.reaction.Reaction'>", 'products': [{'T_high': 3500.0, 'T_low': 200.0, 'T_mid': 1000.0, 'a_high': [3.03399249, 0.00217691804, -1.64072518e-07, -9.7041987e-11, 1.68200992e-14, -30004.2971, 4.9667701], 'a_low': [4.19864056, -0.0020364341, 6.52040211e-06, -5.48797062e-09, 1.77197817e-12, -30293.7267, -0.849032208], 'cat_site': None, 'class': "<class 'pmutt.empirical.nasa.Nasa'>", 'elements': {'H': 2, 'O': 1}, 'misc_models': None, 'model': None, 'n_sites': None, 'name': 'H2O', 'notes': None, 'phase': None, 'smiles': None, 'type': 'nasa'}], 'products_stoich': [1.0], 'reactants': [{'T_high': 3500.0, 'T_low': 200.0, 'T_mid': 1000.0, 'a_high': [3.28253784, 0.00148308754, -7.57966669e-07, 2.09470555e-10, -2.16717794e-14, -1088.45772, 5.45323129], 'a_low': [3.78245636, -0.00299673416, 9.84730201e-06, -9.68129509e-09, 3.24372837e-12, -1063.94356, 3.65767573], 'cat_site': None, 'class': "<class 'pmutt.empirical.nasa.Nasa'>", 'elements': {'O': 2}, 'misc_models': None, 'model': None, 'n_sites': None, 'name': 'O2', 'notes': None, 'phase': None, 'smiles': None, 'type': 'nasa'}, {'T_high': 3500.0, 'T_low': 200.0, 'T_mid': 1000.0, 'a_high': [3.3372792, -4.94024731e-05, 4.99456778e-07, -1.79566394e-10, 2.00255376e-14, -950.158922, -3.20502331], 'a_low': [2.34433112, 0.00798052075, -1.9478151e-05, 2.01572094e-08, -7.37611761e-12, -917.935173, 0.683010238], 'cat_site': None, 'class': "<class 'pmutt.empirical.nasa.Nasa'>", 'elements': {'H': 2}, 'misc_models': None, 'model': None, 'n_sites': None, 'name': 'H2', 'notes': None, 'phase': None, 'smiles': None, 'type': 'nasa'}], 'reactants_stoich': [0.5, 1.0], 'reaction_str': '0.50O2+H2=H2O', 'transition_state': None, 'transition_state_stoich': None}]} species_pathway = { 'A': StatMech(G=1., **presets['constant']), 'A_TS1': StatMech(G=3., **presets['constant']), 'A_TS2': StatMech(G=2., **presets['constant']), 'B': StatMech(G=-1., **presets['constant']), 'C': StatMech(G=2., **presets['constant']), 'C_TS': StatMech(G=2.5, **presets['constant']), 'D': StatMech(G=0., **presets['constant']), } self.rxn_pathway1 = Reactions(reactions=[ Reaction.from_string('A = A_TS1 = B', species_pathway), Reaction.from_string('B = C', species_pathway), Reaction.from_string('C = C_TS = D', species_pathway) ]) self.rxn_pathway2 = Reactions(reactions=[ Reaction.from_string('A = A_TS2 = B', species_pathway), Reaction.from_string('B = C', species_pathway), Reaction.from_string('C = C_TS = D', species_pathway) ]) def test_get_species(self): self.assertDictEqual(self.reactions.get_species(key='name'), self.species_dict) def test_get_energy_span(self): G_span = self.rxn_pathway1.get_E_span(units='eV', T=298.15) self.assertAlmostEqual(G_span, 3.) G_span = self.rxn_pathway2.get_E_span(units='eV', T=298.15) self.assertAlmostEqual(G_span, 3.5) def test_to_dict(self): self.maxDiff = None self.assertEqual(self.reactions.to_dict(), self.reactions_dict) def test_from_dict(self): self.assertEqual(Reactions.from_dict(self.reactions_dict), self.reactions) if __name__ == '__main__': unittest.main()
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2044b98614449a4d6fd64f355390a806e5499416
103
py
Python
faq_module/commands/__init__.py
alentoghostflame/StupidAlentoBot
c024bfb79a9ecb0d9fda5ddc4e361a0cb878baba
[ "MIT" ]
1
2021-12-12T02:50:20.000Z
2021-12-12T02:50:20.000Z
faq_module/commands/__init__.py
alentoghostflame/StupidAlentoBot
c024bfb79a9ecb0d9fda5ddc4e361a0cb878baba
[ "MIT" ]
17
2020-02-07T23:40:36.000Z
2020-12-22T16:38:44.000Z
faq_module/commands/__init__.py
alentoghostflame/StupidAlentoBot
c024bfb79a9ecb0d9fda5ddc4e361a0cb878baba
[ "MIT" ]
null
null
null
from faq_module.commands import faq_cmds from faq_module.commands.faq_on_message import faq_on_message
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20503ca5130f2bd5edda56625308f87d0e024c65
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py
Python
tests/test_memory.py
webbcam/debugserver-js
d82266538c1a24668f9a2f28f26c24f8415352fe
[ "MIT" ]
null
null
null
tests/test_memory.py
webbcam/debugserver-js
d82266538c1a24668f9a2f28f26c24f8415352fe
[ "MIT" ]
null
null
null
tests/test_memory.py
webbcam/debugserver-js
d82266538c1a24668f9a2f28f26c24f8415352fe
[ "MIT" ]
null
null
null
import pytest import time from test_helpers import (create_socket, send_msg, assert_msg_ok, assert_msg_fail, start_server, start_session, kill_server, stop_session, connect_to_target, disconnect_from_target) from test_setup import CCXML_PATH, CONNECTION, DEVICETYPE, SESSION def test_session_basic_memory_read(debug_server): s = start_server() s2 = start_session(s) connect_to_target(s2) d = { "name": "readData", "args": { "page": 0, "address": 0x500012F0, "numBytes": 1 } } result = send_msg(s2, d) assert_msg_ok(result) assert len(result['data']) == 1 disconnect_from_target(s2) stop_session(s2) s2.close() kill_server(s) s.close() def test_session_basic_memory_read_multiple_bytes(debug_server): s = start_server() s2 = start_session(s) connect_to_target(s2) d = { "name": "readData", "args": { "page": 0, "address": 0x500012F0, "numBytes": 4 } } result = send_msg(s2, d) assert_msg_ok(result) assert len(result['data']) == 4 disconnect_from_target(s2) stop_session(s2) s2.close() kill_server(s) s.close() def test_session_read_memory_with_no_connection(debug_server): s = start_server() s2 = start_session(s) d = { "name": "readData", "args": { "page": 0, "address": 0x500012F0, "numBytes": 1 } } result = send_msg(s2, d) assert_msg_fail(result) stop_session(s2) s2.close() kill_server(s) s.close() def test_session_memory_read_invalid_address(debug_server): s = start_server() s2 = start_session(s) connect_to_target(s2) d = { "name": "readData", "args": { "page": 0, "address": 0xFFFFFFFF, "numBytes": 4 } } result = send_msg(s2, d) assert_msg_fail(result) disconnect_from_target(s2) stop_session(s2) s2.close() kill_server(s) s.close() def test_session_basic_memory_write(debug_server): s = start_server() s2 = start_session(s) connect_to_target(s2) d = { "name": "writeData", "args": { "page": 0, "address": 0x20000000, "data": 0x88 } } result = send_msg(s2, d) assert_msg_ok(result) disconnect_from_target(s2) stop_session(s2) s2.close() kill_server(s) s.close() def test_session_basic_memory_write_multiple(debug_server): s = start_server() s2 = start_session(s) connect_to_target(s2) d = { "name": "writeData", "args": { "page": 0, "address": 0x20000000, "data": [0x77, 0x88, 0x99, 0xAA] } } result = send_msg(s2, d) assert_msg_ok(result) disconnect_from_target(s2) stop_session(s2) s2.close() kill_server(s) s.close() def test_session_memory_write_invalid_address(debug_server): s = start_server() s2 = start_session(s) connect_to_target(s2) d = { "name": "writeData", "args": { "page": 0, "address": 0xFFFFFFFF, "data": [0x77, 0x88, 0x99, 0xAA] } } result = send_msg(s2, d) assert_msg_fail(result) disconnect_from_target(s2) stop_session(s2) s2.close() kill_server(s) s.close()
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7
6499fcacc0aa662b036489aab190aedd25844f69
290
py
Python
verify/checker/agc050/e.py
naskya/testcase-generator
02765184a275152e1d8c177f2028ca8db315cfee
[ "MIT" ]
4
2020-09-23T07:11:41.000Z
2022-02-02T09:08:21.000Z
verify/checker/agc050/e.py
naskya/testcase-generator
02765184a275152e1d8c177f2028ca8db315cfee
[ "MIT" ]
5
2021-08-29T18:23:01.000Z
2021-11-20T03:53:19.000Z
verify/checker/agc050/e.py
naskya/testcase-generator
02765184a275152e1d8c177f2028ca8db315cfee
[ "MIT" ]
null
null
null
def main() -> None: g1, r1, g2, r2, g3, r3 = map(int, input().split()) assert 1 <= g1 <= 10**12 assert 1 <= r1 <= 10**12 assert 1 <= g2 <= 10**12 assert 1 <= r2 <= 10**12 assert 1 <= g3 <= 10**12 assert 1 <= r3 <= 10**12 if __name__ == '__main__': main()
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1
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0
0
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0
7
b39196a64e44d123f181bc824ab5c0fa543e7482
158
py
Python
task.py
BeenashPervaiz/Command_Line_Task
a603fbdd06717ff157ecd72881d08329413fd82c
[ "MIT" ]
null
null
null
task.py
BeenashPervaiz/Command_Line_Task
a603fbdd06717ff157ecd72881d08329413fd82c
[ "MIT" ]
null
null
null
task.py
BeenashPervaiz/Command_Line_Task
a603fbdd06717ff157ecd72881d08329413fd82c
[ "MIT" ]
null
null
null
print(" Assalam-O-Alaikum! ") print("Walaikum Salam'!'") print( 'Assalam-O-Alaikum! ') print('Walaikum Salam"!"') print("I 'm Beenash") print("I am Beenash")
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11
b3c3ffbc17aab80f89f99fe516011abfdc6cdd55
66
py
Python
intcyt/celloperad/celloperad.py
remytuyeras/intcyt-library
bb695f82ce69bdb34a8c4f5ac5f5dcfcce03bca8
[ "BSD-3-Clause" ]
null
null
null
intcyt/celloperad/celloperad.py
remytuyeras/intcyt-library
bb695f82ce69bdb34a8c4f5ac5f5dcfcce03bca8
[ "BSD-3-Clause" ]
null
null
null
intcyt/celloperad/celloperad.py
remytuyeras/intcyt-library
bb695f82ce69bdb34a8c4f5ac5f5dcfcce03bca8
[ "BSD-3-Clause" ]
null
null
null
from cl_cel import * from cl_sup import * from cl_ope import *
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7
b3f4e95b57bbfa1f1f11ed428a501fccaf15921f
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py
Python
examples/example_get_file_times.py
juancarlospaco/thatlib
37403983c228521b992ad592231957a1c7af01f2
[ "MIT" ]
31
2021-05-12T16:54:34.000Z
2022-02-17T12:36:52.000Z
examples/example_get_file_times.py
juancarlospaco/thatlib
37403983c228521b992ad592231957a1c7af01f2
[ "MIT" ]
1
2021-07-23T02:58:07.000Z
2021-09-03T21:53:29.000Z
examples/example_get_file_times.py
juancarlospaco/thatlib
37403983c228521b992ad592231957a1c7af01f2
[ "MIT" ]
1
2021-05-12T22:12:20.000Z
2021-05-12T22:12:20.000Z
from thatlib import get_file_times_iso print(get_file_times_iso(__file__))
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8
b61181d4dd36e4afd440800a1007cab045f8413c
1,023
py
Python
src/datasets/transforms.py
shaoeric/torch-atom
7688fc38c0d19fe4d13a9773115df911ffe6eaaa
[ "MIT" ]
28
2022-03-06T06:04:54.000Z
2022-03-27T04:14:33.000Z
src/datasets/transforms.py
shaoeric/Peer-Collaborative-Learning-for-Online-Knowledge-Distillation
15dfad40e9101d15bd0d7896a29e70b12199cdf6
[ "MIT" ]
null
null
null
src/datasets/transforms.py
shaoeric/Peer-Collaborative-Learning-for-Online-Knowledge-Distillation
15dfad40e9101d15bd0d7896a29e70b12199cdf6
[ "MIT" ]
3
2022-03-11T07:01:58.000Z
2022-03-17T05:34:41.000Z
from torchvision.transforms import transforms __all__ = ['cifar100_transform', 'cifar10_transform'] def cifar100_transform(): mean = [0.5071, 0.4866, 0.4409] std = [0.2675, 0.2565, 0.2761] train_transform = transforms.Compose([ transforms.RandomCrop(32, 4), transforms.RandomHorizontalFlip(), transforms.ToTensor(), transforms.Normalize(mean, std) ]) val_transform = transforms.Compose([ transforms.ToTensor(), transforms.Normalize(mean, std) ]) return train_transform, val_transform def cifar10_transform(): mean = [0.4914, 0.4822, 0.4465] std = [0.2470, 0.2435, 0.2616] train_transform = transforms.Compose([ transforms.RandomCrop(32, 4), transforms.RandomHorizontalFlip(), transforms.ToTensor(), transforms.Normalize(mean, std) ]) val_transform = transforms.Compose([ transforms.ToTensor(), transforms.Normalize(mean, std) ]) return train_transform, val_transform
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7
376536f957ec8c95fe3eff383ecb9545a86e1eb6
100,798
py
Python
naotimes/card/usercard.py
noaione/naoTimes
39f3f1ae434baf4ff9f3ed4a19cbfd69f76f881d
[ "MIT" ]
5
2019-06-14T01:29:46.000Z
2021-02-08T08:21:24.000Z
naotimes/card/usercard.py
naoTimesdev/naoTimes
39f3f1ae434baf4ff9f3ed4a19cbfd69f76f881d
[ "MIT" ]
21
2021-03-26T08:31:45.000Z
2022-03-26T10:15:25.000Z
naotimes/card/usercard.py
noaione/naoTimes
39f3f1ae434baf4ff9f3ed4a19cbfd69f76f881d
[ "MIT" ]
4
2019-06-26T14:18:09.000Z
2021-02-08T08:21:39.000Z
""" MIT License Copyright (c) 2019-2021 naoTimesdev 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. """ from dataclasses import dataclass from typing import List, Optional from .enums import CardBase, CardTemplate __all__ = ("UserCard", "UserCardGenerator", "UserCardHighRole", "UserCardStatus") HTML_PAGE = """ <!DOCTYPE html> <html> <head> <title>User Card Generator</title> <style> body { background-color: rgb(24, 25, 28); color: white; font-family: "Inter"; } .p-online { border-color: #57F287 !important; } .p-idle { border-color: #FEE75C !important; } .p-dnd { border-color: #ED4245 !important; } .p-off { border-color: #b3b3b3 !important; } .mono { font-family: 'Courier New', Courier, monospace; } .bold { font-weight: 700; } </style> <link rel="preconnect" href="https://fonts.googleapis.com"> <link rel="preconnect" href="https://fonts.gstatic.com" crossorigin> <link href="https://fonts.googleapis.com/css2?family=Inter:wght@400;700&display=swap" rel="stylesheet"> </head> <body id="main-root" style="max-width: 500px; display: flex; flex-direction: column; "> <div style="display:flex;margin-left: 10px;margin-top: 20px;"> <img id="img-base" style="border-radius: 9999px; z-index: 10;" src="https://cdn.discordapp.com/avatars/466469077444067372/95d2673b3cd4d66e73e2bb05a6f8df31.png?size=1024" width="128" height="128"> <div id="avatar-status" class="p-idle" style="position: absolute;border: 2px solid;width: 135px;height: 135px;/* margin-right: 2px; */border-radius: 9999px;margin-left: -6px;margin-top: -5.5px;"> </div> <div style="font-weight: 700; margin-left: 20px; display: flex; flex-direction: column; gap: 0;font-size: 20px;"> <div style="display: flex; align-items: center;"> <span id="uname" style="word-break: break-all;">aishdiuahsduiashuidashuidhasuidhasiudhasiuhdiuashdi<span style="color:#b3b3b3;" id="udisc">#8868</span><span id="bot-meta" style="margin-left: 4px;padding: 2px 4px;border-radius: 6px;font-size: 12px;align-self: center;background-color: #5865F2; display: none;"><span id="bot-meta-verified" style="margin-right: 4px; display: none;">✔</span>BOT</span></span> </div> <div style="display: flex; flex-direction: row; margin-top: 4px; margin-right: 10px; gap: 2px; flex-wrap: wrap;"> <svg id="fl-staff" data-name="Layer 1" xmlns="http://www.w3.org/2000/svg" width="20" height="20" style="display: none;" viewBox="0 0 174.48 177.16"> <g> <path 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d="M27.305,13.528l-1.675.039L18.707,5.59c-.226-.26-.579-.479-.266-.9l14.649.039c.284.53-.147.809-.424,1.107-1.944,2.086-3.587,4.432-5.56,6.486C26.468,12.988,27.322,13.123,27.305,13.528Z" style="fill: #fe73f9" /> <path d="M27.305,13.528c-.282-.351-.785-.055-1.182-.44,1.15-1.355,2.3-2.694,3.434-4.052,1.188-1.426,2.356-2.87,3.533-4.3l.467-.035a3.331,3.331,0,0,1,1.315.777q3.374,3.41,6.778,6.786a2.948,2.948,0,0,1,.737,1.078l.044-.014v.244l-5.025.028Z" style="fill: #e556d4" /> <path d="M42.387,13.337Q38.67,9.656,34.95,5.976c-.448-.442-.928-.854-1.393-1.28,2.669,0,5.339.032,8.007-.029.917-.02,1.167.279,1.118,1.16C42.545,8.328,42.48,10.834,42.387,13.337Z" style="fill: #fe73f9" /> </svg> </div> </div> </div> <div style="display: flex; flex-direction: column;margin-left: 10px;margin-top:20px;gap: 4px"> <div style="display: flex;"> <span id="nname"><span style="font-weight: 700;">Panggilan</span>: Tidak ada</span> </div> <div style="display: flex; flex-direction: row; align-items: center;"> <span style="width: 10px; height: 10px; background-color: #FEE75C; border-radius: 9999px;" id="status-bubble"></span> <span style="margin-left: 4px"><span style="font-weight: 700;">Status</span>: Halo????</span> </div> <span style="margin-top: 8px; margin-bottom: 4px; font-weight: 700;">Takhta Tertinggi</span> <div style="display: flex; flex-direction: row; margin-top: 5px;"> <div style="display: flex; flex-direction: row; align-items: center; padding: 2px; border: 2px solid; border-color: rgb(185, 187, 190); border-radius: 20px" id="role-wrap"> <span style="width: 10px; height: 10px; background-color: rgb(185, 187, 190); border-radius: 9999px; margin-left: 3px" id="role-bubble"></span> <span style="margin-right: 4px; margin-left: 4px; font-weight: 700;" id="role-name">Admin</span> </div> </div> <div style="display: flex; margin-top: 5px;"> <span><span style="font-weight: 700;">Akun Dibuat</span>: Rabu, 11 Juli 2018 @ 05:01:34</span> </div> <div style="display: flex; margin-top: 2px;"> <span><span style="font-weight: 700;">Bergabung</span>: Sabtu, 03 Oktober 2020 @ 11:44:54</span> </div> </div> <script type="text/javascript"> "use strict"; const colorMap = { online: "#57F287", idle: "#FEE75C", dnd: "#ED4245", off: "#b3b3b3" } const AVATAR_DEFAULT = 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"; const DEFAULT_COL = "rgb(185, 187, 190)"; const uName = document.evaluate("/html/body/div[1]/div[2]/div[1]/span/text()", document, null, XPathResult .FIRST_ORDERED_NODE_TYPE, null).singleNodeValue; const panggilan = document.evaluate("/html/body/div[2]/div[1]/span/text()", document, null, XPathResult .FIRST_ORDERED_NODE_TYPE, null).singleNodeValue; const statusText = document.evaluate("/html/body/div[2]/div[2]/span[2]/text()", document, null, XPathResult .FIRST_ORDERED_NODE_TYPE, null).singleNodeValue; const createdAt = document.evaluate("/html/body/div[2]/div[4]/span/text()", document, null, XPathResult .FIRST_ORDERED_NODE_TYPE, null).singleNodeValue; const joinedAt = document.evaluate("/html/body/div[2]/div[5]/span/text()", document, null, XPathResult .FIRST_ORDERED_NODE_TYPE, null).singleNodeValue; const ALL_FLAGS = ["staff", "partner", "hype-event", "hype-balance", "hype-bravery", "hype-brilliance", "bug-l1", "bug-l2", "verified-dev", "nitro-early"]; function resetFlag() { ALL_FLAGS.forEach((f) => { const getElem = document.getElementById("fl-" + f); if (getElem !== null) { getElem.style.display = "none"; } }) document.getElementById("bot-meta").style.display = "none"; document.getElementById("bot-meta-verified").style.display = "none"; } function enableFlag(flagName) { if (flagName === "bot") { document.getElementById("bot-meta").style.display = "inline-block"; } else if (flagName === "verified-bot") { document.getElementById("bot-meta-verified").style.display = "inline-block"; } else { const getElem = document.getElementById("fl-" + flagName); if (getElem !== null) { getElem.style.display = "block"; } } } function changeData(fullData) { let { u, ud, un, created, joined, highRole: { hName, hCol }, status: { sText, sId }, avaB64, flags, } = fullData; resetFlag(); const selColor = colorMap[sId || "off"]; panggilan.data = `: ${un || "Tidak ada"}`; statusText.data = `: ${sText || "Tidak diketahui"}`; document.getElementById("avatar-status").className = `p-${sId || "off"}` document.getElementById("status-bubble").style.backgroundColor = selColor; createdAt.data = `: ${created || "Tidak diketahui"}`; joinedAt.data = `: ${joined || "Tidak diketahui"}`; document.getElementById("role-wrap").style.borderColor = hCol || DEFAULT_COL; document.getElementById("role-bubble").style.backgroundColor = hCol || DEFAULT_COL; document.getElementById("role-name").textContent = hName || "Tidak diketahui"; uName.data = u || "[????]"; document.getElementById("udisc").textContent = `#${ud || "0000"}`; document.getElementById("img-base").setAttribute("src", avaB64 || `data:image/png;base64,${AVATAR_DEFAULT}`); if (!Array.isArray(flags)) { flags = []; } flags.forEach((e) => { enableFlag(e); }) } function seleniumCallChange(stringData) { let loadedData = JSON.parse(stringData); if (typeof loadedData === "string") { loadedData = JSON.parse(loadedData); } changeData(loadedData || { highRole: {}, status: {} }); } </script> </body> </html> """ # noqa: E501 @dataclass class UserCardHighRole: name: str color: str def serialize(self): return { "hName": self.name, "hCol": self.color, } @dataclass class UserCardStatus: id: str text: str def serialize(self): return {"sText": self.text, "sId": self.id} class UserCard(CardBase): username: str discriminator: str nickname: Optional[str] createdAt: str joinedAt: str highest_role: UserCardHighRole status: UserCardStatus avatar: str flags: Optional[List[str]] = [] def serialize(self): real_data = { "u": self.username, "ud": self.discriminator, "created": self.createdAt, "joined": self.joinedAt, "highRole": self.highest_role.serialize(), "status": self.status.serialize(), "avaB64": self.avatar, "flags": self.flags, } if isinstance(self.nickname, str) and len(self.nickname) > 0 and self.nickname != self.username: real_data["un"] = self.nickname return real_data UserCardGenerator = CardTemplate("usercard", HTML_PAGE, 510, 40)
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8
805b000a235863c6ef1a9d50537c10640964e774
1,977
py
Python
tests/unit/core/test_n_plus_one_tracker.py
tim-schilling/scout_apm_python
aa334294f5e5abed22d8f268ff9978f5a857a367
[ "MIT" ]
60
2018-04-15T04:09:39.000Z
2022-03-29T12:10:40.000Z
tests/unit/core/test_n_plus_one_tracker.py
tim-schilling/scout_apm_python
aa334294f5e5abed22d8f268ff9978f5a857a367
[ "MIT" ]
326
2018-03-28T16:09:13.000Z
2022-03-03T13:50:23.000Z
tests/unit/core/test_n_plus_one_tracker.py
tim-schilling/scout_apm_python
aa334294f5e5abed22d8f268ff9978f5a857a367
[ "MIT" ]
25
2018-05-30T17:59:46.000Z
2022-02-24T19:40:02.000Z
# coding=utf-8 from __future__ import absolute_import, division, print_function, unicode_literals from scout_apm.core.n_plus_one_tracker import NPlusOneTracker def test_add_single_call_not_captured(): tracker = NPlusOneTracker() should_capture_backtrace = tracker.should_capture_backtrace( "SELECT 1", duration=NPlusOneTracker.DURATION_THRESHOLD * 2 ) assert not should_capture_backtrace def test_add_multi_call_not_captured(): tracker = NPlusOneTracker() should_capture_backtrace = tracker.should_capture_backtrace( "SELECT 1", duration=0.01, count=NPlusOneTracker.COUNT_THRESHOLD * 2 ) assert not should_capture_backtrace def test_add_single_call_captured(): tracker = NPlusOneTracker() should_capture_backtrace = tracker.should_capture_backtrace( "SELECT 1", duration=NPlusOneTracker.DURATION_THRESHOLD, count=NPlusOneTracker.COUNT_THRESHOLD, ) assert should_capture_backtrace def test_add_two_calls_second_captured(): tracker = NPlusOneTracker() should_capture_backtrace1 = tracker.should_capture_backtrace( "SELECT 1", duration=NPlusOneTracker.DURATION_THRESHOLD, count=NPlusOneTracker.COUNT_THRESHOLD - 1, ) assert not should_capture_backtrace1 should_capture_backtrace2 = tracker.should_capture_backtrace( "SELECT 1", duration=0.01, count=1 ) assert should_capture_backtrace2 def test_add_two_calls_not_recaptured(): tracker = NPlusOneTracker() should_capture_backtrace1 = tracker.should_capture_backtrace( "SELECT 1", duration=NPlusOneTracker.DURATION_THRESHOLD, count=NPlusOneTracker.COUNT_THRESHOLD, ) assert should_capture_backtrace1 should_capture_backtrace2 = tracker.should_capture_backtrace( "SELECT 1", duration=NPlusOneTracker.DURATION_THRESHOLD, count=NPlusOneTracker.COUNT_THRESHOLD, ) assert not should_capture_backtrace2
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7
80a9d279a31a21fa999f71805851b7ad3c95fa8d
237
py
Python
tests/conftest.py
schopra8/skweak
e2a8fd396164b07292d86fae44e71af0fa28860a
[ "MIT" ]
664
2021-03-20T07:47:22.000Z
2022-03-29T10:17:27.000Z
tests/conftest.py
schopra8/skweak
e2a8fd396164b07292d86fae44e71af0fa28860a
[ "MIT" ]
45
2021-04-16T11:52:49.000Z
2022-03-30T07:56:14.000Z
tests/conftest.py
schopra8/skweak
e2a8fd396164b07292d86fae44e71af0fa28860a
[ "MIT" ]
46
2021-04-21T09:06:13.000Z
2022-03-29T07:54:40.000Z
import pytest import spacy @pytest.fixture(scope="session") def nlp(): import spacy return spacy.load("en_core_web_md") @pytest.fixture(scope="session") def nlp_small(): import spacy return spacy.load("en_core_web_sm")
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8
03afcb263295b4dfa8a74c4eff9a97800e9100aa
5,805
py
Python
tests/test_rpc.py
chaostoolkit/chaosplatform-scheduler
42873402f18992a2c1292ccdc7ebfb177b073ae3
[ "Apache-2.0" ]
null
null
null
tests/test_rpc.py
chaostoolkit/chaosplatform-scheduler
42873402f18992a2c1292ccdc7ebfb177b073ae3
[ "Apache-2.0" ]
2
2020-06-03T12:46:44.000Z
2020-06-22T09:32:28.000Z
tests/test_rpc.py
chaostoolkit/chaosplatform-scheduler
42873402f18992a2c1292ccdc7ebfb177b073ae3
[ "Apache-2.0" ]
null
null
null
from datetime import datetime, timedelta from unittest.mock import MagicMock, ANY from dateparser import parse from chaosplt_scheduler.rpc import SchedulerRPC def test_schedule_experiment_execution_at(): scheduler = MagicMock() job = MagicMock() job.id = "myjob" scheduler.enqueue_at.return_value = job dt = (datetime.utcnow() + timedelta(seconds=1)).isoformat() scheduled = parse(dt, settings={'TO_TIMEZONE': 'UTC'}) rpc = SchedulerRPC(scheduler, {"job": {"platform_url": "http://a:80"}}) job_id = rpc.schedule( schedule_id="1", user_id="2", org_id="3", workspace_id="4", experiment_id="5", token_id="6", token="7", scheduled=dt, experiment="8", interval=None, repeat=None, cron=None, settings=None, configuration=None, secrets=None) scheduler.enqueue_at.assert_called_with( scheduled, ANY, "1", "2", "3", "4", "5", "6", "7", "8", "http://a:80", None, None, None ) assert job_id == "myjob" def test_schedule_experiment_execution_cron_no_repeat(): scheduler = MagicMock() job = MagicMock() job.id = "myjob" scheduler.cron.return_value = job dt = (datetime.utcnow() + timedelta(seconds=1)).isoformat() rpc = SchedulerRPC(scheduler, {"job": {"platform_url": "http://a:80"}}) job_id = rpc.schedule( schedule_id="1", user_id="2", org_id="3", workspace_id="4", experiment_id="5", token_id="6", token="7", scheduled=dt, experiment="8", interval=None, repeat=None, cron="1 * * * *", settings=None, configuration=None, secrets=None) scheduler.cron.assert_called_with( "1 * * * *", func=ANY, args=[ "1", "2", "3", "4", "5", "6", "7", "8", "http://a:80", None, None, None ], repeat=None ) def test_schedule_experiment_execution_cron_with_repeat(): scheduler = MagicMock() job = MagicMock() job.id = "myjob" scheduler.cron.return_value = job dt = (datetime.utcnow() + timedelta(seconds=1)).isoformat() rpc = SchedulerRPC(scheduler, {"job": {"platform_url": "http://a:80"}}) job_id = rpc.schedule( schedule_id="1", user_id="2", org_id="3", workspace_id="4", experiment_id="5", token_id="6", token="7", scheduled=dt, experiment="8", interval=None, repeat=10, cron="1 * * * *", settings=None, configuration=None, secrets=None) scheduler.cron.assert_called_with( "1 * * * *", func=ANY, args=[ "1", "2", "3", "4", "5", "6", "7", "8", "http://a:80", None, None, None ], repeat=10 ) def test_schedule_experiment_execution_interval_no_repeat(): scheduler = MagicMock() job = MagicMock() job.id = "myjob" scheduler.schedule.return_value = job dt = (datetime.utcnow() + timedelta(seconds=1)).isoformat() scheduled = parse(dt, settings={'TO_TIMEZONE': 'UTC'}) rpc = SchedulerRPC(scheduler, {"job": {"platform_url": "http://a:80"}}) job_id = rpc.schedule( schedule_id="1", user_id="2", org_id="3", workspace_id="4", experiment_id="5", token_id="6", token="7", scheduled=dt, experiment="8", interval=30, repeat=None, cron=None, settings=None, configuration=None, secrets=None) scheduler.schedule.assert_called_with( scheduled, func=ANY, args=[ "1", "2", "3", "4", "5", "6", "7", "8", "http://a:80", None, None, None ], interval=30, repeat=None ) def test_schedule_experiment_execution_interval_no_repeat(): scheduler = MagicMock() job = MagicMock() job.id = "myjob" scheduler.schedule.return_value = job dt = (datetime.utcnow() + timedelta(seconds=1)).isoformat() scheduled = parse(dt, settings={'TO_TIMEZONE': 'UTC'}) rpc = SchedulerRPC(scheduler, {"job": {"platform_url": "http://a:80"}}) job_id = rpc.schedule( schedule_id="1", user_id="2", org_id="3", workspace_id="4", experiment_id="5", token_id="6", token="7", scheduled=dt, experiment="8", interval=30, repeat=10, cron=None, settings=None, configuration=None, secrets=None) scheduler.schedule.assert_called_with( scheduled, func=ANY, args=[ "1", "2", "3", "4", "5", "6", "7", "8", "http://a:80", None, None, None ], interval=30, repeat=10 ) def test_cancel_schedule(): scheduler = MagicMock() job = MagicMock() job.id = "myjob" scheduler.enqueue_at.return_value = job dt = (datetime.utcnow() + timedelta(seconds=1)).isoformat() scheduled = parse(dt, settings={'TO_TIMEZONE': 'UTC'}) rpc = SchedulerRPC(scheduler, {"job": {"platform_url": "http://a:80"}}) job_id = rpc.schedule( schedule_id="1", user_id="2", org_id="3", workspace_id="4", experiment_id="5", token_id="6", token="7", scheduled=dt, experiment="8", interval=None, repeat=None, cron=None, settings=None, configuration=None, secrets=None) scheduler.enqueue_at.assert_called_with( scheduled, ANY, "1", "2", "3", "4", "5", "6", "7", "8", "http://a:80", None, None, None ) assert job_id == "myjob" rpc.cancel(job_id) scheduler.cancel.assert_called_with(job_id)
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7
208a5284136f99f708071829be9cf344c317a42c
3,345
py
Python
tests/dicts/test_cherrypicking.py
tavaresrodrigo/kopf
97e1c7a926705a79dabce2931e96a924252b61df
[ "MIT" ]
855
2020-08-19T09:40:38.000Z
2022-03-31T19:13:29.000Z
tests/dicts/test_cherrypicking.py
tavaresrodrigo/kopf
97e1c7a926705a79dabce2931e96a924252b61df
[ "MIT" ]
715
2019-12-23T14:17:35.000Z
2022-03-30T20:54:45.000Z
tests/dicts/test_cherrypicking.py
tavaresrodrigo/kopf
97e1c7a926705a79dabce2931e96a924252b61df
[ "MIT" ]
97
2019-04-25T09:32:54.000Z
2022-03-30T10:15:30.000Z
import copy import pytest from kopf._cogs.structs.dicts import cherrypick def test_overrides_existing_keys(): src = {'ignored-key': 'src-val', 'tested-key': 'src-val'} dst = {'ignored-key': 'dst-val', 'tested-key': 'dst-val'} cherrypick(src=src, dst=dst, fields=['tested-key']) assert dst == {'ignored-key': 'dst-val', 'tested-key': 'src-val'} def test_adds_absent_dst_keys(): src = {'ignored-key': 'src-val', 'tested-key': 'src-val'} dst = {'ignored-key': 'dst-val'} cherrypick(src=src, dst=dst, fields=['tested-key']) assert dst == {'ignored-key': 'dst-val', 'tested-key': 'src-val'} def test_skips_absent_src_keys(): src = {'ignored-key': 'src-val'} dst = {'ignored-key': 'dst-val', 'tested-key': 'dst-val'} cherrypick(src=src, dst=dst, fields=['tested-key']) assert dst == {'ignored-key': 'dst-val', 'tested-key': 'dst-val'} def test_overrides_existing_subkeys(): src = {'sub': {'ignored-key': 'src-val', 'tested-key': 'src-val'}} dst = {'sub': {'ignored-key': 'dst-val', 'tested-key': 'dst-val'}} cherrypick(src=src, dst=dst, fields=['sub.tested-key']) assert dst == {'sub': {'ignored-key': 'dst-val', 'tested-key': 'src-val'}} def test_adds_absent_dst_subkeys(): src = {'sub': {'ignored-key': 'src-val', 'tested-key': 'src-val'}} dst = {'sub': {'ignored-key': 'dst-val'}} cherrypick(src=src, dst=dst, fields=['sub.tested-key']) assert dst == {'sub': {'ignored-key': 'dst-val', 'tested-key': 'src-val'}} def test_skips_absent_src_subkeys(): src = {'sub': {'ignored-key': 'src-val'}} dst = {'sub': {'ignored-key': 'dst-val', 'tested-key': 'dst-val'}} cherrypick(src=src, dst=dst, fields=['sub.tested-key']) assert dst == {'sub': {'ignored-key': 'dst-val', 'tested-key': 'dst-val'}} def test_ensures_dst_subdicts(): src = {'sub': {'ignored-key': 'src-val', 'tested-key': 'src-val'}} dst = {} cherrypick(src=src, dst=dst, fields=['sub.tested-key']) assert dst == {'sub': {'tested-key': 'src-val'}} def test_fails_on_nonmapping_src_key(): src = {'sub': 'scalar-value'} dst = {'sub': {'ignored-key': 'src-val', 'tested-key': 'src-val'}} with pytest.raises(TypeError): cherrypick(src=src, dst=dst, fields=['sub.tested-key']) def test_fails_on_nonmapping_dst_key(): src = {'sub': {'ignored-key': 'src-val', 'tested-key': 'src-val'}} dst = {'sub': 'scalar-value'} with pytest.raises(TypeError): cherrypick(src=src, dst=dst, fields=['sub.tested-key']) def test_exact_object_picked_by_default(): src = {'tested-key': {'key': 'val'}} dst = {} cherrypick(src=src, dst=dst, fields=['tested-key']) assert dst == {'tested-key': {'key': 'val'}} assert dst['tested-key'] == src['tested-key'] assert dst['tested-key'] is src['tested-key'] src['tested-key']['key'] = 'replaced-val' assert dst['tested-key']['key'] == 'replaced-val' def test_copied_object_picked_on_request(): src = {'tested-key': {'key': 'val'}} dst = {} cherrypick(src=src, dst=dst, fields=['tested-key'], picker=copy.copy) assert dst == {'tested-key': {'key': 'val'}} assert dst['tested-key'] == src['tested-key'] assert dst['tested-key'] is not src['tested-key'] src['tested-key']['key'] = 'another-val' assert dst['tested-key']['key'] == 'val'
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7
459b3606bc59a4cbb06695ec4d832cfc8aa365d8
150
py
Python
config.py
jarjun/SummonerSMS
92d48e7df2bd47ccf3ae0dc8c4e070cffaae76dc
[ "MIT" ]
null
null
null
config.py
jarjun/SummonerSMS
92d48e7df2bd47ccf3ae0dc8c4e070cffaae76dc
[ "MIT" ]
null
null
null
config.py
jarjun/SummonerSMS
92d48e7df2bd47ccf3ae0dc8c4e070cffaae76dc
[ "MIT" ]
null
null
null
account_sid = "ACed174aa4db08574d608df749cd16e3fd" auth_token = "d96a5e6b2722cac3116e0298c965efd0" leagueAPI = "85ac6da1-6c2f-486b-8b4f-4990bd2b6685"
50
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7
45a7ef1db3e186205cde737187780c4affabd7d7
369
py
Python
manga_py/providers/__list.py
gromenauer/manga-py
2bc5a8bc87877d4447e08e48045fad82ade1ebd0
[ "MIT" ]
4
2018-07-05T11:03:22.000Z
2020-03-27T13:21:56.000Z
manga_py/providers/__list.py
gromenauer/manga-py
2bc5a8bc87877d4447e08e48045fad82ade1ebd0
[ "MIT" ]
null
null
null
manga_py/providers/__list.py
gromenauer/manga-py
2bc5a8bc87877d4447e08e48045fad82ade1ebd0
[ "MIT" ]
1
2021-02-05T06:18:31.000Z
2021-02-05T06:18:31.000Z
providers_list = [ { 'provider': 'manga_py.providers.readmanga_me', 'priority': 5, # default 'templates': [ r'readmanga\.me/.', ] }, # { # 'provider': 'manga_py.providers.readmanga_me', # 'priority': 5, # default # 'templates': [ # r'readmanga\.me/.', # ] # }, ]
21.705882
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0
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0
10
afe098f42924ebb7752e80bbe18626585aca1403
464
py
Python
ch03/dimensionArray.py
sbb777/deep-learning-from-scratch
ea8834952c5609d05fc4f4b4d918caff0b11379e
[ "MIT" ]
null
null
null
ch03/dimensionArray.py
sbb777/deep-learning-from-scratch
ea8834952c5609d05fc4f4b4d918caff0b11379e
[ "MIT" ]
null
null
null
ch03/dimensionArray.py
sbb777/deep-learning-from-scratch
ea8834952c5609d05fc4f4b4d918caff0b11379e
[ "MIT" ]
null
null
null
import numpy as np A=np.array([[1],[2],[3],[4]]) print(A) nd=np.ndim(A) print(nd) print(A.shape) print(A.shape[0]) print(A.shape[1]) # print(A.shape[2]) print('####'*30) A=np.array([1,2,3,4]) print(A) nd=np.ndim(A) print(nd) print(A.shape) print(A.shape[0]) print(A.shape[1]) # print(A.shape[2]) print('####'*30) A=np.array([[1,[2]],[2],[3],[4]]) # 에러 print(A) nd=np.ndim(A) print(nd) print(A.shape) print(A.shape[0]) print(A.shape[1]) # print(A.shape[2])
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0.927273
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10
b350e6a9965ed223a8c24e2be8d17c93a345f2b5
12,605
py
Python
tests/test_mustache.py
jabley/flask-mustache
069f40c1d44543e6ea83d5f7cb461d5dccf30742
[ "MIT" ]
2
2017-08-30T18:06:27.000Z
2021-11-06T09:44:36.000Z
tests/test_mustache.py
jabley/flask-mustache
069f40c1d44543e6ea83d5f7cb461d5dccf30742
[ "MIT" ]
null
null
null
tests/test_mustache.py
jabley/flask-mustache
069f40c1d44543e6ea83d5f7cb461d5dccf30742
[ "MIT" ]
1
2016-03-05T08:06:08.000Z
2016-03-05T08:06:08.000Z
# coding: utf-8 from flask import Flask from flask.ext.testing import TestCase from flask.ext.mustache import FlaskMustache from pystache import TemplateSpec, Renderer class Basic(TestCase): """ Test the view decorator. """ def create_app(self): """Make a test app""" self.app = Flask(__name__) self.app.config['TESTING'] = True self.fm = FlaskMustache(self.app) return self.app def setup_view(self, *args, **kwargs): """Create a view and decorate it with our pystache view_route""" @self.fm.view_route(*args, **kwargs) class Example(TemplateSpec): """ An example view """ template = "{{stuff}}" def route(self, stuff): self.stuff = stuff def test_valid_response(self): """Test that the application gives a valid response for our test route""" # Arrange route = '/test/<stuff>' self.setup_view(route) # Act response = self.client.get(route.replace('<stuff>', 'stuff')) # Assert self.assert200(response) def test_valid_content_mustache_var(self): """Test that the application gives valid content for a template with a simple mustache var to set""" # Arrange route = '/test/<stuff>' self.setup_view(route) # Act response = self.client.get(route.replace('<stuff>', 'stuff')) # Assert self.assertEquals(response.data, "stuff") class Decorator(TestCase): """ Test the view decorator. """ def create_app(self): """Make a test app""" self.app = Flask(__name__) self.app.config['TESTING'] = True self.fm = FlaskMustache(self.app) return self.app def setup_view(self, *args, **kwargs): """Create a view and decorate it with our pystache view_route""" @self.fm.view_route(*args, **kwargs) class Example(TemplateSpec): """ An example view """ template = "{{hello}}{{dynamic}}" def route(self, **kwargs): self.route_args = kwargs def hello(self): return "hello" def dynamic(self): return self.route_args.get('dynamic', '') def test_valid_response(self): """Test that the application gives a valid response for our test route""" # Arrange route = '/test' self.setup_view(route) # Act response = self.client.get(route) # Assert self.assert200(response) def test_valid_content_mustache_var(self): """Test that the application gives valid content for a template with a simple mustache var to set""" # Arrange route = '/test' self.setup_view(route) # Act response = self.client.get(route) # Assert self.assertEquals(response.data, "hello") def test_valid_dynamic_content(self): """Test that the application gives valid content where a variable is passed on the URL""" # Arrange route = '/test/<dynamic>' self.setup_view(route) # Act response = self.client.get(route.replace('<dynamic>', 'dynamic')) # Assert self.assertEquals(response.data, "hellodynamic") class RouteOptional(TestCase): """ Test the view decorator without a route method. """ def create_app(self): """Make a test app""" self.app = Flask(__name__) self.app.config['TESTING'] = True self.fm = FlaskMustache(self.app) return self.app def setup_view(self, *args, **kwargs): """Create a view and decorate it with our pystache view_route""" @self.fm.view_route(*args, **kwargs) class Example(TemplateSpec): """ An example view """ template = "{{hello}}" def hello(self): return "hello" def test_valid_response(self): """Test that the application gives a valid response for our test route""" # Arrange route = '/test' self.setup_view(route) # Act response = self.client.get(route) # Assert self.assert200(response) def test_valid_content_mustache_var(self): """Test that the application gives valid content for a template with a simple mustache var to set""" # Arrange route = '/test' self.setup_view(route) # Act response = self.client.get(route) # Assert self.assertEquals(response.data, "hello") class RouteOptional404(TestCase): """ Test the view decorator without a route method when a 404 occurs. """ def create_app(self): """Make a test app""" self.app = Flask(__name__) self.app.config['TESTING'] = True self.fm = FlaskMustache(self.app) return self.app def setup_view(self, *args, **kwargs): """Create a view and decorate it with our pystache view_route""" @self.fm.view_error(404, *args, **kwargs) class Example404(TemplateSpec): """ An example 404 view """ template = "{{hello}}" def hello(self): return "hello 404" def test_invalid_response(self): """Test that the application gives an invalid response for our incorrect test route""" # Arrange route = '/test404' self.setup_view() # Act response = self.client.get(route) # Assert self.assert404(response) def test_valid_content_mustache_var(self): """Test that the application gives valid content for a template with a simple mustache var to set""" # Arrange route = '/test404' self.setup_view() # Act response = self.client.get(route) # Assert self.assertEquals(response.data, "hello 404") class Decorator404(TestCase): """ Test the view decorator when a 404 occurs. """ def create_app(self): """Make a test app""" self.app = Flask(__name__) self.app.config['TESTING'] = True self.fm = FlaskMustache(self.app) return self.app def setup_view(self, *args, **kwargs): """Create a view and decorate it with our pystache view_route""" @self.fm.view_error(404, *args, **kwargs) class Example404(TemplateSpec): """ An example 404 view """ template = "{{hello}}" def route(self, **kwargs): self.route_args = kwargs def hello(self): return "hello 404" def test_invalid_response(self): """Test that the application gives an invalid response for our incorrect test route""" # Arrange route = '/test404' self.setup_view() # Act response = self.client.get(route) # Assert self.assert404(response) def test_valid_content_mustache_var(self): """Test that the application gives valid content for a template with a simple mustache var to set""" # Arrange route = '/test404' self.setup_view() # Act response = self.client.get(route) # Assert self.assertEquals(response.data, "hello 404") class DecoratorException(TestCase): """ Test the view decorator when an exception occurs. """ def create_app(self): """Make a test app""" self.app = Flask(__name__) self.app.config['TESTING'] = True self.fm = FlaskMustache(self.app) return self.app def setup_view(self, *args, **kwargs): """Create a view and decorate it with our pystache view_route""" @self.fm.view_route('/testexception', *args, **kwargs) class ExampleRaiseException(TemplateSpec): """ An example view """ template = "{{hello}}" def hello(self): raise Exception("testing") @self.fm.view_error(Exception, *args, **kwargs) class ExampleException(TemplateSpec): """ An example Exception view """ template = "{{hello}}{{dynamic}}" def route(self, **kwargs): self.route_args = kwargs def hello(self): return "hello exception" def dynamic(self): return self.route_args.get('dynamic', '') def test_invalid_response(self): """Test that the application gives a 500 response when an exception is raised""" # Arrange route = '/testexception' self.setup_view() # Act response = self.client.get(route) # Assert self.assertStatus(response, 500) def test_valid_content_mustache_var(self): """Test that the application renders a template when an exception is raised""" # Arrange route = '/testexception' self.setup_view() # Act response = self.client.get(route) # Assert self.assertEquals(response.data, "hello exception") class DecoratorExCustomCode(TestCase): """ Test the view decorator when an exception occurs and return a custom code. """ def create_app(self): """Make a test app""" self.app = Flask(__name__) self.app.config['TESTING'] = True self.fm = FlaskMustache(self.app) return self.app def setup_view(self, *args, **kwargs): """Create a view and decorate it with our pystache view_route""" @self.fm.view_route('/testnotimplemented', *args, **kwargs) class ExampleRaiseNotImplemented(TemplateSpec): """ An example view """ template = "{{hello}}{{dynamic}}" def route(self, **kwargs): self.route_args = kwargs def hello(self): raise NotImplementedError("testing") def dynamic(self): return self.route_args.get('dynamic') @self.fm.view_error(NotImplementedError, 501, *args, **kwargs) class ExampleCustomCode(TemplateSpec): """ An example Exception view """ template = "{{hello}}" def route(self, **kwargs): self.route_args = kwargs def hello(self): return "hello custom code" def test_invalid_response(self): """Test that the application gives a 501 response when an exception is raised""" # Arrange route = '/testnotimplemented' self.setup_view() # Act response = self.client.get(route) # Assert self.assertStatus(response, 501) def test_valid_content_mustache_var(self): """Test that the application renders a template when an exception is raised""" # Arrange route = '/testnotimplemented' self.setup_view() # Act response = self.client.get(route) # Assert self.assertEquals(response.data, "hello custom code") class CustomRenderer(TestCase): """ Test passing a custom Pystache Renderer. """ def create_app(self): """Make a test app""" self.app = Flask(__name__) self.app.config['TESTING'] = True self.fm = FlaskMustache(self.app, Renderer(partials={'custom': "custom"}).render) return self.app def setup_view(self, *args, **kwargs): """Create a view and decorate it with our pystache view_route""" @self.fm.view_route(*args, **kwargs) class Example(TemplateSpec): """ An example view """ template = "{{> custom}}" def test_valid_response(self): """Test that the application gives a valid response for our test route""" # Arrange route = '/test' self.setup_view(route) # Act response = self.client.get(route) # Assert self.assert200(response) def test_valid_content_mustache_var(self): """Test that the application gives valid content for a predefined partial""" # Arrange route = '/test' self.setup_view(route) # Act response = self.client.get(route) # Assert self.assertEquals(response.data, "custom")
25.777096
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8
b360bcd91e89fc43fe5b3f14a5fc3fe7b3c35641
4,855
py
Python
rvpvp/isa/rvv/vmxxx_vv.py
ultrafive/riscv-pvp
843e38422c3d545352b955764927d5e7847e5453
[ "Unlicense" ]
5
2021-05-10T09:57:00.000Z
2021-10-05T14:39:20.000Z
rvpvp/isa/rvv/vmxxx_vv.py
ultrafive/riscv-pvp
843e38422c3d545352b955764927d5e7847e5453
[ "Unlicense" ]
null
null
null
rvpvp/isa/rvv/vmxxx_vv.py
ultrafive/riscv-pvp
843e38422c3d545352b955764927d5e7847e5453
[ "Unlicense" ]
1
2021-05-14T20:24:11.000Z
2021-05-14T20:24:11.000Z
from ...isa.inst import * import numpy as np import math ## uint8 --> bit --> uint8 --> (u)intSEW ## (vector_mask_array_random) (unpackbits)(packbits) (dtype) class Vmseq_vv(Inst): name = 'vmseq.vv' # vmseq.vv vd, vs2, vs1, vm def golden(self): if self['vl']==0: return self['ori'] if self['ori'].dtype != np.uint8: self['ori'].dtype = np.uint8 bit = np.unpackbits(self['ori'], bitorder='little')[0:8*self['bvl']] vstart = self['vstart'] if 'vstart' in self else 0 maskflag = 1 if 'mask' in self else 0 for ii in range(vstart, self['vl']): if (maskflag == 0) or (maskflag == 1 and np.unpackbits(self['mask'], bitorder='little')[ii] ): bit[ii] = 1 if self['vs2'][ii] == self['vs1'][ii] else 0 result = np.packbits(bit, bitorder='little') return result class Vmsne_vv(Inst): name = 'vmsne.vv' # vmsne.vv vd, vs2, vs1, vm def golden(self): if self['vl']==0: return self['ori'] if self['ori'].dtype != np.uint8: self['ori'].dtype = np.uint8 bit = np.unpackbits(self['ori'], bitorder='little')[0:8*self['bvl']] vstart = self['vstart'] if 'vstart' in self else 0 maskflag = 1 if 'mask' in self else 0 for ii in range(vstart, self['vl']): if (maskflag == 0) or (maskflag == 1 and np.unpackbits(self['mask'], bitorder='little')[ii] ): bit[ii] = 1 if self['vs2'][ii] != self['vs1'][ii] else 0 result = np.packbits(bit, bitorder='little') return result class Vmslt_vv(Inst): name = 'vmslt.vv' # vmslt.vv vd, vs2, vs1, vm def golden(self): if self['vl']==0: return self['ori'] if self['ori'].dtype != np.uint8: self['ori'].dtype = np.uint8 bit = np.unpackbits(self['ori'], bitorder='little')[0:8*self['bvl']] vstart = self['vstart'] if 'vstart' in self else 0 maskflag = 1 if 'mask' in self else 0 for ii in range(vstart, self['vl']): if (maskflag == 0) or (maskflag == 1 and np.unpackbits(self['mask'], bitorder='little')[ii] ): bit[ii] = 1 if self['vs2'][ii] < self['vs1'][ii] else 0 result = np.packbits(bit, bitorder='little') return result class Vmsltu_vv(Vmslt_vv): name = 'vmsltu.vv' class Vmsle_vv(Inst): name = 'vmsle.vv' # vmsle.vv vd, vs2, vs1, vm def golden(self): if self['vl']==0: return self['ori'] if self['ori'].dtype != np.uint8: self['ori'].dtype = np.uint8 bit = np.unpackbits(self['ori'], bitorder='little')[0:8*self['bvl']] vstart = self['vstart'] if 'vstart' in self else 0 maskflag = 1 if 'mask' in self else 0 for ii in range(vstart, self['vl']): if (maskflag == 0) or (maskflag == 1 and np.unpackbits(self['mask'], bitorder='little')[ii] ): bit[ii] = 1 if self['vs2'][ii] <= self['vs1'][ii] else 0 result = np.packbits(bit, bitorder='little') return result class Vmsleu_vv(Vmsle_vv): name = 'vmsleu.vv' class Vmadc_vv(Inst): name = 'vmadc.vv' # vmadc.vv vd, vs2, vs1 def golden(self): if self['vl']==0: return self['ori'] if self['ori'].dtype != np.uint8: self['ori'].dtype = np.uint8 bit = np.unpackbits(self['ori'], bitorder='little')[0:8*self['bvl']] vstart = self['vstart'] if 'vstart' in self else 0 maskflag = 1 if 'mask' in self else 0 for ii in range(vstart, self['vl']): if (maskflag == 0) or (maskflag == 1 and np.unpackbits(self['mask'], bitorder='little')[ii] ): carry = self['vs2'][ii].astype(object) + self['vs1'][ii].astype(object) bit[ii] = 1 if ((carry>>self['sew']) & 1) else 0 result = np.packbits(bit, bitorder='little') return result class Vmsbc_vv(Inst): name = 'vmsbc.vv' # vmsbc.vv vd, vs2, vs1 def golden(self): if self['vl']==0: return self['ori'] if self['ori'].dtype != np.uint8: self['ori'].dtype = np.uint8 bit = np.unpackbits(self['ori'], bitorder='little')[0:8*self['bvl']] vstart = self['vstart'] if 'vstart' in self else 0 maskflag = 1 if 'mask' in self else 0 for ii in range(vstart, self['vl']): if (maskflag == 0) or (maskflag == 1 and np.unpackbits(self['mask'], bitorder='little')[ii] ): carry = self['vs2'][ii].astype(object) - self['vs1'][ii].astype(object) bit[ii] = 1 if ((carry>>self['sew']) & 1) else 0 result = np.packbits(bit, bitorder='little') return result
39.795082
106
0.531205
672
4,855
3.818452
0.090774
0.065472
0.056118
0.065472
0.868667
0.868667
0.868667
0.868667
0.868667
0.868667
0
0.029291
0.296807
4,855
121
107
40.123967
0.72232
0.053347
0
0.747475
0
0
0.09849
0
0
0
0
0
0
1
0.060606
false
0
0.030303
0
0.373737
0
0
0
0
null
0
0
0
1
1
1
1
1
1
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0
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0
0
0
0
0
0
0
0
0
7
2fe72aab84af43371b40f483a563649a8d3307ae
211
py
Python
tests/parser/aggregates.count.assignment.10.test.py
veltri/DLV2
944aaef803aa75e7ec51d7e0c2b0d964687fdd0e
[ "Apache-2.0" ]
null
null
null
tests/parser/aggregates.count.assignment.10.test.py
veltri/DLV2
944aaef803aa75e7ec51d7e0c2b0d964687fdd0e
[ "Apache-2.0" ]
null
null
null
tests/parser/aggregates.count.assignment.10.test.py
veltri/DLV2
944aaef803aa75e7ec51d7e0c2b0d964687fdd0e
[ "Apache-2.0" ]
null
null
null
input = """ a(Z) :- Y = #count{X:c(X,V)}, Z = #count{W:b(W,Y)}, p(V). b(2,1). c(1,a). c(2,a). p(a). """ output = """ a(Z) :- Y = #count{X:c(X,V)}, Z = #count{W:b(W,Y)}, p(V). b(2,1). c(1,a). c(2,a). p(a). """
12.411765
57
0.383886
56
211
1.446429
0.25
0.049383
0.074074
0.197531
0.864198
0.864198
0.864198
0.864198
0.864198
0.864198
0
0.045714
0.170616
211
16
58
13.1875
0.417143
0
0
0.857143
0
0.142857
0.853081
0
0
0
0
0
0
1
0
false
0
0
0
0
0
0
0
1
null
0
0
1
1
1
1
1
1
1
0
0
0
0
0
0
0
1
0
0
1
0
0
1
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
11
2ff372ede86ff5bcad16364e8b75b6a72b29cb98
335
py
Python
t3p2.py
Seigishi/T3_PLAYER2
df6f66fddb511675f605c45ab091f6a25e0f2787
[ "MIT" ]
null
null
null
t3p2.py
Seigishi/T3_PLAYER2
df6f66fddb511675f605c45ab091f6a25e0f2787
[ "MIT" ]
null
null
null
t3p2.py
Seigishi/T3_PLAYER2
df6f66fddb511675f605c45ab091f6a25e0f2787
[ "MIT" ]
null
null
null
b1 = [0, 0, 0, 0, 0, 0, 0, 0, 0] b2 = [0, 0, 0, 0, 0, 0, 0, 0, 0] b3 = [0, 0, 0, 0, 0, 0, 0, 0, 0] b4 = [0, 0, 0, 0, 0, 0, 0, 0, 0] b5 = [0, 0, 0, 0, 0, 0, 0, 0, 0] b6 = [0, 0, 0, 0, 0, 0, 0, 0, 0] b7 = [0, 0, 0, 0, 0, 0, 0, 0, 0] b8 = [0, 0, 0, 0, 0, 0, 0, 0, 0] b9 = [0, 0, 0, 0, 0, 0, 0, 0, 0] game = [0, 0, 0, 0, 0, 0, 0, 0, 0]
23.928571
34
0.334328
100
335
1.12
0.11
1.428571
1.875
2.142857
0.803571
0.803571
0.803571
0.803571
0.803571
0
0
0.445946
0.337313
335
13
35
25.769231
0.058559
0
0
0
0
0
0
0
0
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0
0
0
1
0
false
0
0
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null
1
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1
1
1
1
1
1
0
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0
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0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
11
6413ea18b525eff92f897a9918403d3b63efa6d1
21,814
py
Python
sdk/python/pulumi_ucloud/ulb/lb_attachment.py
AaronFriel/pulumi-ucloud
199278786dddf46bdd370f3f805e30b279c63ff2
[ "ECL-2.0", "Apache-2.0" ]
4
2021-08-18T04:55:38.000Z
2021-09-08T07:59:24.000Z
sdk/python/pulumi_ucloud/ulb/lb_attachment.py
AaronFriel/pulumi-ucloud
199278786dddf46bdd370f3f805e30b279c63ff2
[ "ECL-2.0", "Apache-2.0" ]
1
2022-01-28T17:59:37.000Z
2022-01-29T03:44:09.000Z
sdk/python/pulumi_ucloud/ulb/lb_attachment.py
AaronFriel/pulumi-ucloud
199278786dddf46bdd370f3f805e30b279c63ff2
[ "ECL-2.0", "Apache-2.0" ]
2
2021-06-23T07:10:40.000Z
2021-06-23T09:25:12.000Z
# coding=utf-8 # *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. *** # *** Do not edit by hand unless you're certain you know what you are doing! *** import warnings import pulumi import pulumi.runtime from typing import Any, Mapping, Optional, Sequence, Union, overload from .. import _utilities __all__ = ['LBAttachmentArgs', 'LBAttachment'] @pulumi.input_type class LBAttachmentArgs: def __init__(__self__, *, listener_id: pulumi.Input[str], load_balancer_id: pulumi.Input[str], resource_id: pulumi.Input[str], port: Optional[pulumi.Input[int]] = None, resource_type: Optional[pulumi.Input[str]] = None): """ The set of arguments for constructing a LBAttachment resource. :param pulumi.Input[str] listener_id: The ID of a listener server. :param pulumi.Input[str] load_balancer_id: The ID of a load balancer. :param pulumi.Input[str] resource_id: The ID of a backend server. :param pulumi.Input[int] port: The listening port of the backend server, range: 1-65535, (Default: `80`). Backend server port have the following restrictions: If the LB listener type is `request_proxy`, the backend serve can add different ports to implement different service instances of the same IP. Else if LB listener type is `packets_transmit`, the port of the backend server must be consistent with the LB listening port. :param pulumi.Input[str] resource_type: , attribute `resource_type` is deprecated for optimizing parameters. """ pulumi.set(__self__, "listener_id", listener_id) pulumi.set(__self__, "load_balancer_id", load_balancer_id) pulumi.set(__self__, "resource_id", resource_id) if port is not None: pulumi.set(__self__, "port", port) if resource_type is not None: warnings.warn("""attribute `resource_type` is deprecated for optimizing parameters""", DeprecationWarning) pulumi.log.warn("""resource_type is deprecated: attribute `resource_type` is deprecated for optimizing parameters""") if resource_type is not None: pulumi.set(__self__, "resource_type", resource_type) @property @pulumi.getter(name="listenerId") def listener_id(self) -> pulumi.Input[str]: """ The ID of a listener server. """ return pulumi.get(self, "listener_id") @listener_id.setter def listener_id(self, value: pulumi.Input[str]): pulumi.set(self, "listener_id", value) @property @pulumi.getter(name="loadBalancerId") def load_balancer_id(self) -> pulumi.Input[str]: """ The ID of a load balancer. """ return pulumi.get(self, "load_balancer_id") @load_balancer_id.setter def load_balancer_id(self, value: pulumi.Input[str]): pulumi.set(self, "load_balancer_id", value) @property @pulumi.getter(name="resourceId") def resource_id(self) -> pulumi.Input[str]: """ The ID of a backend server. """ return pulumi.get(self, "resource_id") @resource_id.setter def resource_id(self, value: pulumi.Input[str]): pulumi.set(self, "resource_id", value) @property @pulumi.getter def port(self) -> Optional[pulumi.Input[int]]: """ The listening port of the backend server, range: 1-65535, (Default: `80`). Backend server port have the following restrictions: If the LB listener type is `request_proxy`, the backend serve can add different ports to implement different service instances of the same IP. Else if LB listener type is `packets_transmit`, the port of the backend server must be consistent with the LB listening port. """ return pulumi.get(self, "port") @port.setter def port(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "port", value) @property @pulumi.getter(name="resourceType") def resource_type(self) -> Optional[pulumi.Input[str]]: """ , attribute `resource_type` is deprecated for optimizing parameters. """ return pulumi.get(self, "resource_type") @resource_type.setter def resource_type(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "resource_type", value) @pulumi.input_type class _LBAttachmentState: def __init__(__self__, *, listener_id: Optional[pulumi.Input[str]] = None, load_balancer_id: Optional[pulumi.Input[str]] = None, port: Optional[pulumi.Input[int]] = None, private_ip: Optional[pulumi.Input[str]] = None, resource_id: Optional[pulumi.Input[str]] = None, resource_type: Optional[pulumi.Input[str]] = None, status: Optional[pulumi.Input[str]] = None): """ Input properties used for looking up and filtering LBAttachment resources. :param pulumi.Input[str] listener_id: The ID of a listener server. :param pulumi.Input[str] load_balancer_id: The ID of a load balancer. :param pulumi.Input[int] port: The listening port of the backend server, range: 1-65535, (Default: `80`). Backend server port have the following restrictions: If the LB listener type is `request_proxy`, the backend serve can add different ports to implement different service instances of the same IP. Else if LB listener type is `packets_transmit`, the port of the backend server must be consistent with the LB listening port. :param pulumi.Input[str] private_ip: The private ip address for backend servers. :param pulumi.Input[str] resource_id: The ID of a backend server. :param pulumi.Input[str] resource_type: , attribute `resource_type` is deprecated for optimizing parameters. :param pulumi.Input[str] status: The status of backend servers. Possible values are: `normalRunning`, `exceptionRunning`. """ if listener_id is not None: pulumi.set(__self__, "listener_id", listener_id) if load_balancer_id is not None: pulumi.set(__self__, "load_balancer_id", load_balancer_id) if port is not None: pulumi.set(__self__, "port", port) if private_ip is not None: pulumi.set(__self__, "private_ip", private_ip) if resource_id is not None: pulumi.set(__self__, "resource_id", resource_id) if resource_type is not None: warnings.warn("""attribute `resource_type` is deprecated for optimizing parameters""", DeprecationWarning) pulumi.log.warn("""resource_type is deprecated: attribute `resource_type` is deprecated for optimizing parameters""") if resource_type is not None: pulumi.set(__self__, "resource_type", resource_type) if status is not None: pulumi.set(__self__, "status", status) @property @pulumi.getter(name="listenerId") def listener_id(self) -> Optional[pulumi.Input[str]]: """ The ID of a listener server. """ return pulumi.get(self, "listener_id") @listener_id.setter def listener_id(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "listener_id", value) @property @pulumi.getter(name="loadBalancerId") def load_balancer_id(self) -> Optional[pulumi.Input[str]]: """ The ID of a load balancer. """ return pulumi.get(self, "load_balancer_id") @load_balancer_id.setter def load_balancer_id(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "load_balancer_id", value) @property @pulumi.getter def port(self) -> Optional[pulumi.Input[int]]: """ The listening port of the backend server, range: 1-65535, (Default: `80`). Backend server port have the following restrictions: If the LB listener type is `request_proxy`, the backend serve can add different ports to implement different service instances of the same IP. Else if LB listener type is `packets_transmit`, the port of the backend server must be consistent with the LB listening port. """ return pulumi.get(self, "port") @port.setter def port(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "port", value) @property @pulumi.getter(name="privateIp") def private_ip(self) -> Optional[pulumi.Input[str]]: """ The private ip address for backend servers. """ return pulumi.get(self, "private_ip") @private_ip.setter def private_ip(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "private_ip", value) @property @pulumi.getter(name="resourceId") def resource_id(self) -> Optional[pulumi.Input[str]]: """ The ID of a backend server. """ return pulumi.get(self, "resource_id") @resource_id.setter def resource_id(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "resource_id", value) @property @pulumi.getter(name="resourceType") def resource_type(self) -> Optional[pulumi.Input[str]]: """ , attribute `resource_type` is deprecated for optimizing parameters. """ return pulumi.get(self, "resource_type") @resource_type.setter def resource_type(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "resource_type", value) @property @pulumi.getter def status(self) -> Optional[pulumi.Input[str]]: """ The status of backend servers. Possible values are: `normalRunning`, `exceptionRunning`. """ return pulumi.get(self, "status") @status.setter def status(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "status", value) class LBAttachment(pulumi.CustomResource): @overload def __init__(__self__, resource_name: str, opts: Optional[pulumi.ResourceOptions] = None, listener_id: Optional[pulumi.Input[str]] = None, load_balancer_id: Optional[pulumi.Input[str]] = None, port: Optional[pulumi.Input[int]] = None, resource_id: Optional[pulumi.Input[str]] = None, resource_type: Optional[pulumi.Input[str]] = None, __props__=None): """ Provides a Load Balancer Attachment resource for attaching Load Balancer to UHost Instance, etc. ## Example Usage ```python import pulumi import pulumi_ucloud as ucloud default_image = ucloud.uhost.get_image(availability_zone="cn-bj2-04", name_regex="^CentOS 6.5 64", image_type="base") # Create Load Balancer web_lb = ucloud.ulb.LB("webLB", tag="tf-example") # Create Load Balancer Listener with http protocol default_lb_listener = ucloud.ulb.LBListener("defaultLBListener", load_balancer_id=web_lb.id, protocol="http") # Create web server web_instance = ucloud.uhost.Instance("webInstance", instance_type="n-basic-2", availability_zone="cn-bj2-04", root_password="wA1234567", image_id=default_image.images[0].id, tag="tf-example") # Attach instances to Load Balancer example = ucloud.ulb.LBAttachment("example", load_balancer_id=web_lb.id, listener_id=default_lb_listener.id, resource_id=web_instance.id, port=80) ``` ## Import LB Listener can be imported using the `id`, e.g. ```sh $ pulumi import ucloud:ulb/lBAttachment:LBAttachment example backend-abcdefg ``` :param str resource_name: The name of the resource. :param pulumi.ResourceOptions opts: Options for the resource. :param pulumi.Input[str] listener_id: The ID of a listener server. :param pulumi.Input[str] load_balancer_id: The ID of a load balancer. :param pulumi.Input[int] port: The listening port of the backend server, range: 1-65535, (Default: `80`). Backend server port have the following restrictions: If the LB listener type is `request_proxy`, the backend serve can add different ports to implement different service instances of the same IP. Else if LB listener type is `packets_transmit`, the port of the backend server must be consistent with the LB listening port. :param pulumi.Input[str] resource_id: The ID of a backend server. :param pulumi.Input[str] resource_type: , attribute `resource_type` is deprecated for optimizing parameters. """ ... @overload def __init__(__self__, resource_name: str, args: LBAttachmentArgs, opts: Optional[pulumi.ResourceOptions] = None): """ Provides a Load Balancer Attachment resource for attaching Load Balancer to UHost Instance, etc. ## Example Usage ```python import pulumi import pulumi_ucloud as ucloud default_image = ucloud.uhost.get_image(availability_zone="cn-bj2-04", name_regex="^CentOS 6.5 64", image_type="base") # Create Load Balancer web_lb = ucloud.ulb.LB("webLB", tag="tf-example") # Create Load Balancer Listener with http protocol default_lb_listener = ucloud.ulb.LBListener("defaultLBListener", load_balancer_id=web_lb.id, protocol="http") # Create web server web_instance = ucloud.uhost.Instance("webInstance", instance_type="n-basic-2", availability_zone="cn-bj2-04", root_password="wA1234567", image_id=default_image.images[0].id, tag="tf-example") # Attach instances to Load Balancer example = ucloud.ulb.LBAttachment("example", load_balancer_id=web_lb.id, listener_id=default_lb_listener.id, resource_id=web_instance.id, port=80) ``` ## Import LB Listener can be imported using the `id`, e.g. ```sh $ pulumi import ucloud:ulb/lBAttachment:LBAttachment example backend-abcdefg ``` :param str resource_name: The name of the resource. :param LBAttachmentArgs args: The arguments to use to populate this resource's properties. :param pulumi.ResourceOptions opts: Options for the resource. """ ... def __init__(__self__, resource_name: str, *args, **kwargs): resource_args, opts = _utilities.get_resource_args_opts(LBAttachmentArgs, pulumi.ResourceOptions, *args, **kwargs) if resource_args is not None: __self__._internal_init(resource_name, opts, **resource_args.__dict__) else: __self__._internal_init(resource_name, *args, **kwargs) def _internal_init(__self__, resource_name: str, opts: Optional[pulumi.ResourceOptions] = None, listener_id: Optional[pulumi.Input[str]] = None, load_balancer_id: Optional[pulumi.Input[str]] = None, port: Optional[pulumi.Input[int]] = None, resource_id: Optional[pulumi.Input[str]] = None, resource_type: Optional[pulumi.Input[str]] = None, __props__=None): if opts is None: opts = pulumi.ResourceOptions() if not isinstance(opts, pulumi.ResourceOptions): raise TypeError('Expected resource options to be a ResourceOptions instance') if opts.version is None: opts.version = _utilities.get_version() if opts.id is None: if __props__ is not None: raise TypeError('__props__ is only valid when passed in combination with a valid opts.id to get an existing resource') __props__ = LBAttachmentArgs.__new__(LBAttachmentArgs) if listener_id is None and not opts.urn: raise TypeError("Missing required property 'listener_id'") __props__.__dict__["listener_id"] = listener_id if load_balancer_id is None and not opts.urn: raise TypeError("Missing required property 'load_balancer_id'") __props__.__dict__["load_balancer_id"] = load_balancer_id __props__.__dict__["port"] = port if resource_id is None and not opts.urn: raise TypeError("Missing required property 'resource_id'") __props__.__dict__["resource_id"] = resource_id if resource_type is not None and not opts.urn: warnings.warn("""attribute `resource_type` is deprecated for optimizing parameters""", DeprecationWarning) pulumi.log.warn("""resource_type is deprecated: attribute `resource_type` is deprecated for optimizing parameters""") __props__.__dict__["resource_type"] = resource_type __props__.__dict__["private_ip"] = None __props__.__dict__["status"] = None super(LBAttachment, __self__).__init__( 'ucloud:ulb/lBAttachment:LBAttachment', resource_name, __props__, opts) @staticmethod def get(resource_name: str, id: pulumi.Input[str], opts: Optional[pulumi.ResourceOptions] = None, listener_id: Optional[pulumi.Input[str]] = None, load_balancer_id: Optional[pulumi.Input[str]] = None, port: Optional[pulumi.Input[int]] = None, private_ip: Optional[pulumi.Input[str]] = None, resource_id: Optional[pulumi.Input[str]] = None, resource_type: Optional[pulumi.Input[str]] = None, status: Optional[pulumi.Input[str]] = None) -> 'LBAttachment': """ Get an existing LBAttachment resource's state with the given name, id, and optional extra properties used to qualify the lookup. :param str resource_name: The unique name of the resulting resource. :param pulumi.Input[str] id: The unique provider ID of the resource to lookup. :param pulumi.ResourceOptions opts: Options for the resource. :param pulumi.Input[str] listener_id: The ID of a listener server. :param pulumi.Input[str] load_balancer_id: The ID of a load balancer. :param pulumi.Input[int] port: The listening port of the backend server, range: 1-65535, (Default: `80`). Backend server port have the following restrictions: If the LB listener type is `request_proxy`, the backend serve can add different ports to implement different service instances of the same IP. Else if LB listener type is `packets_transmit`, the port of the backend server must be consistent with the LB listening port. :param pulumi.Input[str] private_ip: The private ip address for backend servers. :param pulumi.Input[str] resource_id: The ID of a backend server. :param pulumi.Input[str] resource_type: , attribute `resource_type` is deprecated for optimizing parameters. :param pulumi.Input[str] status: The status of backend servers. Possible values are: `normalRunning`, `exceptionRunning`. """ opts = pulumi.ResourceOptions.merge(opts, pulumi.ResourceOptions(id=id)) __props__ = _LBAttachmentState.__new__(_LBAttachmentState) __props__.__dict__["listener_id"] = listener_id __props__.__dict__["load_balancer_id"] = load_balancer_id __props__.__dict__["port"] = port __props__.__dict__["private_ip"] = private_ip __props__.__dict__["resource_id"] = resource_id __props__.__dict__["resource_type"] = resource_type __props__.__dict__["status"] = status return LBAttachment(resource_name, opts=opts, __props__=__props__) @property @pulumi.getter(name="listenerId") def listener_id(self) -> pulumi.Output[str]: """ The ID of a listener server. """ return pulumi.get(self, "listener_id") @property @pulumi.getter(name="loadBalancerId") def load_balancer_id(self) -> pulumi.Output[str]: """ The ID of a load balancer. """ return pulumi.get(self, "load_balancer_id") @property @pulumi.getter def port(self) -> pulumi.Output[Optional[int]]: """ The listening port of the backend server, range: 1-65535, (Default: `80`). Backend server port have the following restrictions: If the LB listener type is `request_proxy`, the backend serve can add different ports to implement different service instances of the same IP. Else if LB listener type is `packets_transmit`, the port of the backend server must be consistent with the LB listening port. """ return pulumi.get(self, "port") @property @pulumi.getter(name="privateIp") def private_ip(self) -> pulumi.Output[str]: """ The private ip address for backend servers. """ return pulumi.get(self, "private_ip") @property @pulumi.getter(name="resourceId") def resource_id(self) -> pulumi.Output[str]: """ The ID of a backend server. """ return pulumi.get(self, "resource_id") @property @pulumi.getter(name="resourceType") def resource_type(self) -> pulumi.Output[str]: """ , attribute `resource_type` is deprecated for optimizing parameters. """ return pulumi.get(self, "resource_type") @property @pulumi.getter def status(self) -> pulumi.Output[str]: """ The status of backend servers. Possible values are: `normalRunning`, `exceptionRunning`. """ return pulumi.get(self, "status")
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7
ffa932bb9e0c4a4152f39a755a79ed6e416f26f9
67
py
Python
deepchembed/tests/test_core.py
hanghu/AutoChemCluster
2ab4ae996b300a90637b124707905201c89d74d8
[ "MIT" ]
2
2019-05-15T06:31:35.000Z
2019-08-31T13:13:21.000Z
deepchembed/tests/test_core.py
hanghu/AutoChemCluster
2ab4ae996b300a90637b124707905201c89d74d8
[ "MIT" ]
7
2019-05-02T19:01:40.000Z
2022-02-10T00:11:00.000Z
deepchembed/tests/test_core.py
hanghu/AutoChemCluster
2ab4ae996b300a90637b124707905201c89d74d8
[ "MIT" ]
1
2019-08-17T11:34:56.000Z
2019-08-17T11:34:56.000Z
import deepchembed as dce def test_deepchembed(): return
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1
1
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7
4408added61e3390e5498ba3bdb9848654f7eabe
169
py
Python
denormalization.py
ehsangolshani/proactive-autoscaler
384096a0463de41a72cc15b7ff28e02e1dcb5d48
[ "Apache-2.0" ]
null
null
null
denormalization.py
ehsangolshani/proactive-autoscaler
384096a0463de41a72cc15b7ff28e02e1dcb5d48
[ "Apache-2.0" ]
null
null
null
denormalization.py
ehsangolshani/proactive-autoscaler
384096a0463de41a72cc15b7ff28e02e1dcb5d48
[ "Apache-2.0" ]
null
null
null
def naive_denormalize(value, minimum_value, maximum_value): return minimum_value + value * (maximum_value - minimum_value) \ if value > 0 else minimum_value
42.25
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0.007246
0.183432
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7
9263f971601832f571a82cf8874407551d7f66b9
113
py
Python
listener/normal/users/utils.py
andymckay/arecibo
eb6787ea0a276047ef5add2df67a4dd051e5c961
[ "Apache-2.0" ]
6
2016-01-26T04:47:52.000Z
2022-01-24T19:55:04.000Z
listener/normal/users/utils.py
andymckay/arecibo
eb6787ea0a276047ef5add2df67a4dd051e5c961
[ "Apache-2.0" ]
6
2017-02-12T05:11:25.000Z
2017-02-12T05:12:15.000Z
listener/normal/users/utils.py
andymckay/arecibo
eb6787ea0a276047ef5add2df67a4dd051e5c961
[ "Apache-2.0" ]
2
2015-12-09T22:37:58.000Z
2021-09-09T17:04:33.000Z
from django.contrib.auth.models import User def approved_users(): return User.objects.filter(is_staff=True)
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92661aa09d6e14d06a4a41a3c34ff6b2fedccc6c
188
py
Python
bballmain/lib/python2.7/site-packages/model_utils/tests/test_managers/__init__.py
bjf2015/bballmain
81130df9e546211e34da6c4377cf0b19ce773f88
[ "MIT" ]
1
2017-03-05T01:43:57.000Z
2017-03-05T01:43:57.000Z
bballmain/lib/python2.7/site-packages/model_utils/tests/test_managers/__init__.py
bjf2015/bballmain
81130df9e546211e34da6c4377cf0b19ce773f88
[ "MIT" ]
null
null
null
bballmain/lib/python2.7/site-packages/model_utils/tests/test_managers/__init__.py
bjf2015/bballmain
81130df9e546211e34da6c4377cf0b19ce773f88
[ "MIT" ]
null
null
null
# Needed for Django 1.4/1.5 test runner from .test_inheritance_manager import * from .test_query_manager import * from .test_status_manager import * from .test_softdelete_manager import *
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8
92686e476efd305d6ed6f80b41d29b0b60a6113f
136
py
Python
openrating/rating.py
mouradmourafiq/openrating
029aa7d86bab6a49cf24797e965ad3a1035d00b0
[ "MIT" ]
2
2016-08-18T20:28:20.000Z
2017-03-25T22:04:29.000Z
openrating/rating.py
mouradmourafiq/openrating
029aa7d86bab6a49cf24797e965ad3a1035d00b0
[ "MIT" ]
null
null
null
openrating/rating.py
mouradmourafiq/openrating
029aa7d86bab6a49cf24797e965ad3a1035d00b0
[ "MIT" ]
3
2019-09-10T08:09:31.000Z
2021-12-22T11:29:09.000Z
class Rating(object): """ The `Rating` object calculates the rating of the tranches, the average rating of the tranches """
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7
928110fa904a001a319c10cfd80179ea1884a133
24,877
py
Python
create_dataset/tests/create_phylip_dataset/tests_create_phylip_dataset.py
danmcelroy/VoSeq
e22bd5d971154170bf3f4f24b684b95a12418637
[ "BSD-3-Clause" ]
null
null
null
create_dataset/tests/create_phylip_dataset/tests_create_phylip_dataset.py
danmcelroy/VoSeq
e22bd5d971154170bf3f4f24b684b95a12418637
[ "BSD-3-Clause" ]
null
null
null
create_dataset/tests/create_phylip_dataset/tests_create_phylip_dataset.py
danmcelroy/VoSeq
e22bd5d971154170bf3f4f24b684b95a12418637
[ "BSD-3-Clause" ]
null
null
null
import os from django.test import TestCase from django.test.client import Client from django.conf import settings from django.core.management import call_command from django.contrib.auth.models import User from create_dataset.utils import CreateDataset from public_interface.models import GeneSets from public_interface.models import Sequences from public_interface.models import TaxonSets from public_interface.models import Vouchers class CreatePhylipDatasetTest(TestCase): def setUp(self): args = [] opts = {'dumpfile': settings.MEDIA_ROOT + 'test_data.xml', 'verbosity': 0} cmd = 'migrate_db' call_command(cmd, *args, **opts) gene_set = GeneSets.objects.get(geneset_name='all_genes') taxon_set = TaxonSets.objects.get(taxonset_name='all_taxa') self.cleaned_data = { 'gene_codes': '', 'taxonset': taxon_set, 'voucher_codes': '', 'geneset': gene_set, 'taxon_names': ['CODE', 'GENUS', 'SPECIES'], 'number_genes': None, 'degen_translations': None, 'positions': ['ALL'], 'translations': False, 'partition_by_positions': 'by gene', 'file_format': 'PHYLIP', 'aminoacids': False, 'outgroup': '', } self.dataset_file = os.path.join(settings.BASE_DIR, '..', 'create_dataset', 'tests', 'create_phylip_dataset', 'dataset.phy') self.aa_dataset_file = os.path.join(settings.BASE_DIR, '..', 'create_dataset', 'tests', 'create_phylip_dataset', 'aa_dataset.phy') self.user = User.objects.get(username='admin') self.user.set_password('pass') self.user.save() self.c = Client() self.dataset_creator = CreateDataset(self.cleaned_data) self.maxDiff = None def test_create_simple_dataset(self): with open(self.dataset_file, "r") as handle: expected = handle.read() result = self.dataset_creator.dataset_str self.assertEqual(expected, result) def test_charset_block_file_of_simple_dataset(self): charset_block_file = os.path.join(settings.BASE_DIR, '..', 'create_dataset', 'tests', 'create_phylip_dataset', 'charset_block_file.txt') with open(charset_block_file, "r") as handle: expected = handle.read() result = self.dataset_creator.charset_block self.assertEqual(expected, result) def test_create_aa_dataset(self): with open(self.aa_dataset_file, "r") as handle: expected = handle.read() cleaned_data = self.cleaned_data.copy() cleaned_data['aminoacids'] = True dataset_creator = CreateDataset(cleaned_data) result = dataset_creator.dataset_str self.assertEqual(expected, result) def test_create_aa_dataset_charset_block(self): charset_block_file = os.path.join(settings.BASE_DIR, '..', 'create_dataset', 'tests', 'create_phylip_dataset', 'charset_block_aa_file.txt') with open(charset_block_file, "r") as handle: expected = handle.read() cleaned_data = self.cleaned_data.copy() cleaned_data['aminoacids'] = True dataset_creator = CreateDataset(cleaned_data) result = dataset_creator.charset_block self.assertEqual(expected, result) def test_stop_codon_warning(self): voucher = Vouchers.objects.get(code='CP100-10') sequence_with_stop_codon = 'NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNtaaTCTGTAGGCGATGCCTTGAAGGACGGCTTCGACGGAGCGTCGCGGGTCATGATGCCCAATACGGAGTTAGAAGCGCCTGCTCAGCGAAACGACGCCGCCCCGCACAGAGTCCCGCGACGAGACCGATACAGATTTCAACTTCGGCCGCACAATCCTGACCACAAAACACCCGGANTCAAGGACCTAGTGTACTTGGAATCATCGCCGGGTTTCTGCGAAAAGAACCCGCGGCTGGGCATTCCCGGCACGCACGGGCGTGCCTGCAACGACACGAGTATCGGCGTCGACGGCTGCGACCTCATGTGCTGCGGCCGTGGCTACCGGACCGAGACAATGTTCGTCGTGGAGCGATGCAAC' seq = Sequences.objects.get(code=voucher, gene_code='wingless') seq.sequences = sequence_with_stop_codon seq.save() cleaned_data = self.cleaned_data.copy() cleaned_data['aminoacids'] = True dataset_creator = CreateDataset(cleaned_data) expected = "Gene wingless, sequence CP100_10 contains stop codons '*'" result = dataset_creator.warnings self.assertEqual(expected, result[0]) def test_partitioned_1st2nd_3rd(self): cleaned_data = self.cleaned_data.copy() cleaned_data['partition_by_positions'] = '1st-2nd, 3rd' dataset_creator = CreateDataset(cleaned_data) result = dataset_creator.dataset_str expected = "CP100_10_Aus_aus ACGACGACGA CGACGACGAC GACGACGACG ACGACGACGA CGACGACGAC" self.assertTrue(expected in result) def test_partitioned_each(self): cleaned_data = self.cleaned_data.copy() cleaned_data['partition_by_positions'] = 'by codon position' dataset_creator = CreateDataset(cleaned_data) result = dataset_creator.dataset_str expected = "CP100_10_Aus_aus ACGACGACGA CGACGACGAC GACGACGACG ACGACGACGA CGACGACGAC" self.assertTrue(expected in result) def test_dataset_1st_codon_partitioned_each(self): cleaned_data = self.cleaned_data.copy() cleaned_data['partition_by_positions'] = 'by codon position' cleaned_data['positions'] = ['1st'] dataset_creator = CreateDataset(cleaned_data) result = dataset_creator.dataset_str dataset_file = os.path.join(settings.BASE_DIR, '..', 'create_dataset', 'tests', 'create_phylip_dataset', 'dataset_1st_codon.phy') with open(dataset_file, "r") as handle: expected = handle.read() self.assertEqual(expected, result) def test_dataset_1st_codon_partitioned_one(self): cleaned_data = self.cleaned_data.copy() cleaned_data['partition_by_positions'] = 'by gene' cleaned_data['positions'] = ['1st'] dataset_creator = CreateDataset(cleaned_data) result = dataset_creator.dataset_str dataset_file = os.path.join(settings.BASE_DIR, '..', 'create_dataset', 'tests', 'create_phylip_dataset', 'dataset_1st_codon.phy') with open(dataset_file, "r") as handle: expected = handle.read() self.assertEqual(expected, result) def test_dataset_1st_codon_partitioned_1st2nd_3rd(self): cleaned_data = self.cleaned_data.copy() cleaned_data['partition_by_positions'] = '1st-2nd, 3rd' cleaned_data['positions'] = ['1st'] dataset_creator = CreateDataset(cleaned_data) result = dataset_creator.dataset_str dataset_file = os.path.join(settings.BASE_DIR, '..', 'create_dataset', 'tests', 'create_phylip_dataset', 'dataset_1st_codon.phy') with open(dataset_file, "r") as handle: expected = handle.read() self.assertEqual(expected, result) def test_charset_block_dataset_1st_codon_partitioned_each(self): cleaned_data = self.cleaned_data.copy() cleaned_data['partition_by_positions'] = 'by codon position' cleaned_data['positions'] = ['1st'] dataset_creator = CreateDataset(cleaned_data) result = dataset_creator.charset_block charset_block_file = os.path.join(settings.BASE_DIR, '..', 'create_dataset', 'tests', 'create_phylip_dataset', 'charset_block_file_dataset_1st_codon.txt') with open(charset_block_file, "r") as handle: expected = handle.read() self.assertEqual(expected, result) def test_charset_block_dataset_1st_codon_partitioned_one(self): cleaned_data = self.cleaned_data.copy() cleaned_data['partition_by_positions'] = 'by gene' cleaned_data['positions'] = ['1st'] dataset_creator = CreateDataset(cleaned_data) result = dataset_creator.charset_block charset_block_file = os.path.join(settings.BASE_DIR, '..', 'create_dataset', 'tests', 'create_phylip_dataset', 'charset_block_file_dataset_1st_codon.txt') with open(charset_block_file, "r") as handle: expected = handle.read() self.assertEqual(expected, result) def test_charset_block_dataset_1st_codon_partitioned_1st2nd_3rd(self): cleaned_data = self.cleaned_data.copy() cleaned_data['partition_by_positions'] = '1st-2nd, 3rd' cleaned_data['positions'] = ['1st'] dataset_creator = CreateDataset(cleaned_data) result = dataset_creator.charset_block charset_block_file = os.path.join(settings.BASE_DIR, '..', 'create_dataset', 'tests', 'create_phylip_dataset', 'charset_block_file_dataset_1st_codon.txt') with open(charset_block_file, "r") as handle: expected = handle.read() self.assertEqual(expected, result) def test_charset_block_partitioned_1st2nd_3rd(self): cleaned_data = self.cleaned_data.copy() cleaned_data['partition_by_positions'] = '1st-2nd, 3rd' dataset_creator = CreateDataset(cleaned_data) result = dataset_creator.charset_block charset_block_file = os.path.join(settings.BASE_DIR, '..', 'create_dataset', 'tests', 'create_phylip_dataset', 'charset_block_file_partitioned_1st2nd_3rd.txt') with open(charset_block_file, "r") as handle: expected = handle.read() self.assertEqual(expected, result) def test_charset_block_partitioned_each(self): cleaned_data = self.cleaned_data.copy() cleaned_data['partition_by_positions'] = 'by codon position' dataset_creator = CreateDataset(cleaned_data) result = dataset_creator.charset_block charset_block_file = os.path.join(settings.BASE_DIR, '..', 'create_dataset', 'tests', 'create_phylip_dataset', 'charset_block_file_partitioned_1st_2nd_3rd.txt') with open(charset_block_file, "r") as handle: expected = handle.read() self.assertEqual(expected, result) def test_dataset_2nd_codon_partitioned_each(self): cleaned_data = self.cleaned_data.copy() cleaned_data['partition_by_positions'] = 'by codon position' cleaned_data['positions'] = ['2nd'] dataset_creator = CreateDataset(cleaned_data) result = dataset_creator.dataset_str dataset_file = os.path.join(settings.BASE_DIR, '..', 'create_dataset', 'tests', 'create_phylip_dataset', 'dataset_2nd_codon.phy') with open(dataset_file, "r") as handle: expected = handle.read() self.assertEqual(expected, result) def test_dataset_2nd_codon_partitioned_one(self): cleaned_data = self.cleaned_data.copy() cleaned_data['partition_by_positions'] = 'by gene' cleaned_data['positions'] = ['2nd'] dataset_creator = CreateDataset(cleaned_data) result = dataset_creator.dataset_str dataset_file = os.path.join(settings.BASE_DIR, '..', 'create_dataset', 'tests', 'create_phylip_dataset', 'dataset_2nd_codon.phy') with open(dataset_file, "r") as handle: expected = handle.read() self.assertEqual(expected, result) def test_dataset_2nd_codon_partitioned_1st2nd_3rd(self): cleaned_data = self.cleaned_data.copy() cleaned_data['partition_by_positions'] = '1st-2nd, 3rd' cleaned_data['positions'] = ['2nd'] dataset_creator = CreateDataset(cleaned_data) result = dataset_creator.dataset_str dataset_file = os.path.join(settings.BASE_DIR, '..', 'create_dataset', 'tests', 'create_phylip_dataset', 'dataset_2nd_codon.phy') with open(dataset_file, "r") as handle: expected = handle.read() self.assertEqual(expected, result) def test_charset_block_dataset_2nd_codon_partitioned_each(self): cleaned_data = self.cleaned_data.copy() cleaned_data['partition_by_positions'] = 'by codon position' cleaned_data['positions'] = ['2nd'] dataset_creator = CreateDataset(cleaned_data) result = dataset_creator.charset_block charset_block_file = os.path.join(settings.BASE_DIR, '..', 'create_dataset', 'tests', 'create_phylip_dataset', 'charset_block_file_dataset_2nd_codon.txt') with open(charset_block_file, "r") as handle: expected = handle.read() self.assertEqual(expected, result) def test_charset_block_dataset_2nd_codon_partitioned_one(self): cleaned_data = self.cleaned_data.copy() cleaned_data['partition_by_positions'] = 'by gene' cleaned_data['positions'] = ['2nd'] dataset_creator = CreateDataset(cleaned_data) result = dataset_creator.charset_block charset_block_file = os.path.join(settings.BASE_DIR, '..', 'create_dataset', 'tests', 'create_phylip_dataset', 'charset_block_file_dataset_2nd_codon.txt') with open(charset_block_file, "r") as handle: expected = handle.read() self.assertEqual(expected, result) def test_charset_block_dataset_2nd_codon_partitioned_1st2nd_3rd(self): cleaned_data = self.cleaned_data.copy() cleaned_data['partition_by_positions'] = '1st-2nd, 3rd' cleaned_data['positions'] = ['2nd'] dataset_creator = CreateDataset(cleaned_data) result = dataset_creator.charset_block charset_block_file = os.path.join(settings.BASE_DIR, '..', 'create_dataset', 'tests', 'create_phylip_dataset', 'charset_block_file_dataset_2nd_codon.txt') with open(charset_block_file, "r") as handle: expected = handle.read() self.assertEqual(expected, result) def test_dataset_3rd_codon_partitioned_each(self): cleaned_data = self.cleaned_data.copy() cleaned_data['partition_by_positions'] = 'by codon position' cleaned_data['positions'] = ['3rd'] dataset_creator = CreateDataset(cleaned_data) result = dataset_creator.dataset_str dataset_file = os.path.join(settings.BASE_DIR, '..', 'create_dataset', 'tests', 'create_phylip_dataset', 'dataset_3rd_codon.phy') with open(dataset_file, "r") as handle: expected = handle.read() self.assertEqual(expected, result) def test_dataset_3rd_codon_partitioned_one(self): cleaned_data = self.cleaned_data.copy() cleaned_data['partition_by_positions'] = 'by gene' cleaned_data['positions'] = ['3rd'] dataset_creator = CreateDataset(cleaned_data) result = dataset_creator.dataset_str dataset_file = os.path.join(settings.BASE_DIR, '..', 'create_dataset', 'tests', 'create_phylip_dataset', 'dataset_3rd_codon.phy') with open(dataset_file, "r") as handle: expected = handle.read() self.assertEqual(expected, result) def test_dataset_3rd_codon_partitioned_1st2nd_3rd(self): cleaned_data = self.cleaned_data.copy() cleaned_data['partition_by_positions'] = '1st-2nd, 3rd' cleaned_data['positions'] = ['3rd'] dataset_creator = CreateDataset(cleaned_data) result = dataset_creator.dataset_str dataset_file = os.path.join(settings.BASE_DIR, '..', 'create_dataset', 'tests', 'create_phylip_dataset', 'dataset_3rd_codon.phy') with open(dataset_file, "r") as handle: expected = handle.read() self.assertEqual(expected, result) def test_charset_block_dataset_3rd_codon_partitioned_each(self): cleaned_data = self.cleaned_data.copy() cleaned_data['partition_by_positions'] = 'by codon position' cleaned_data['positions'] = ['3rd'] dataset_creator = CreateDataset(cleaned_data) result = dataset_creator.charset_block charset_block_file = os.path.join(settings.BASE_DIR, '..', 'create_dataset', 'tests', 'create_phylip_dataset', 'charset_block_file_dataset_3rd_codon.txt') with open(charset_block_file, "r") as handle: expected = handle.read() self.assertEqual(expected, result) def test_charset_block_dataset_3rd_codon_partitioned_one(self): cleaned_data = self.cleaned_data.copy() cleaned_data['partition_by_positions'] = 'by gene' cleaned_data['positions'] = ['3rd'] dataset_creator = CreateDataset(cleaned_data) result = dataset_creator.charset_block charset_block_file = os.path.join(settings.BASE_DIR, '..', 'create_dataset', 'tests', 'create_phylip_dataset', 'charset_block_file_dataset_3rd_codon.txt') with open(charset_block_file, "r") as handle: expected = handle.read() self.assertEqual(expected, result) def test_charset_block_dataset_3rd_codon_partitioned_1st2nd_3rd(self): cleaned_data = self.cleaned_data.copy() cleaned_data['partition_by_positions'] = '1st-2nd, 3rd' cleaned_data['positions'] = ['3rd'] dataset_creator = CreateDataset(cleaned_data) result = dataset_creator.charset_block charset_block_file = os.path.join(settings.BASE_DIR, '..', 'create_dataset', 'tests', 'create_phylip_dataset', 'charset_block_file_dataset_3rd_codon.txt') with open(charset_block_file, "r") as handle: expected = handle.read() self.assertEqual(expected, result) def test_dataset_1st2nd_codon_partitioned_one(self): cleaned_data = self.cleaned_data.copy() cleaned_data['partition_by_positions'] = 'by gene' cleaned_data['positions'] = ['1st', '2nd'] dataset_creator = CreateDataset(cleaned_data) result = dataset_creator.dataset_str dataset_file = os.path.join(settings.BASE_DIR, '..', 'create_dataset', 'tests', 'create_phylip_dataset', 'dataset_1st2nd_codons.phy') with open(dataset_file, "r") as handle: expected = handle.read() self.assertEqual(expected, result) def test_dataset_1st2nd_codon_partitioned_each(self): cleaned_data = self.cleaned_data.copy() cleaned_data['partition_by_positions'] = 'by codon position' cleaned_data['positions'] = ['1st', '2nd'] dataset_creator = CreateDataset(cleaned_data) result = dataset_creator.dataset_str dataset_file = os.path.join(settings.BASE_DIR, '..', 'create_dataset', 'tests', 'create_phylip_dataset', 'dataset_1st2nd_codons.phy') with open(dataset_file, "r") as handle: expected = handle.read() self.assertEqual(expected, result) def test_dataset_1st2nd_codon_partitioned_1st2nd_3rd(self): cleaned_data = self.cleaned_data.copy() cleaned_data['partition_by_positions'] = '1st-2nd, 3rd' cleaned_data['positions'] = ['1st', '2nd'] dataset_creator = CreateDataset(cleaned_data) result = dataset_creator.dataset_str dataset_file = os.path.join(settings.BASE_DIR, '..', 'create_dataset', 'tests', 'create_phylip_dataset', 'dataset_1st2nd_codons.phy') with open(dataset_file, "r") as handle: expected = handle.read() self.assertEqual(expected, result) def test_charset_block_dataset_1st2nd_codon_partitioned_one(self): cleaned_data = self.cleaned_data.copy() cleaned_data['partition_by_positions'] = 'by gene' cleaned_data['positions'] = ['1st', '2nd'] dataset_creator = CreateDataset(cleaned_data) result = dataset_creator.charset_block charset_block_file = os.path.join(settings.BASE_DIR, '..', 'create_dataset', 'tests', 'create_phylip_dataset', 'charset_block_dataset_1st2nd_codons_partitioned_one.txt') with open(charset_block_file, "r") as handle: expected = handle.read() self.assertEqual(expected, result) def test_charset_block_dataset_1st2nd_codon_partitioned_each(self): cleaned_data = self.cleaned_data.copy() cleaned_data['partition_by_positions'] = 'by codon position' cleaned_data['positions'] = ['1st', '2nd'] dataset_creator = CreateDataset(cleaned_data) result = dataset_creator.charset_block charset_block_file = os.path.join(settings.BASE_DIR, '..', 'create_dataset', 'tests', 'create_phylip_dataset', 'charset_block_dataset_1st2nd_codons_partitioned_each.txt') with open(charset_block_file, "r") as handle: expected = handle.read() self.assertEqual(expected, result) def test_charset_block_dataset_1st2nd_codon_partitioned_1st2nd_3rd(self): cleaned_data = self.cleaned_data.copy() cleaned_data['partition_by_positions'] = '1st-2nd, 3rd' cleaned_data['positions'] = ['1st', '2nd'] dataset_creator = CreateDataset(cleaned_data) result = dataset_creator.charset_block charset_block_file = os.path.join(settings.BASE_DIR, '..', 'create_dataset', 'tests', 'create_phylip_dataset', 'charset_block_dataset_1st2nd_codons_partitioned_1st2nd_3rd.txt') with open(charset_block_file, "r") as handle: expected = handle.read() self.assertEqual(expected, result) def test_dataset_1st3rd_codon_partitioned_one(self): cleaned_data = self.cleaned_data.copy() cleaned_data['partition_by_positions'] = 'by gene' cleaned_data['positions'] = ['1st', '3rd'] dataset_creator = CreateDataset(cleaned_data) expected = 'Cannot create dataset for only codon positions 1st and 3rd.' result = dataset_creator.errors[0] self.assertEqual(expected, str(result)) def test_dataset_1st3rd_codon_partitioned_each(self): cleaned_data = self.cleaned_data.copy() cleaned_data['partition_by_positions'] = 'by codon position' cleaned_data['positions'] = ['1st', '3rd'] dataset_creator = CreateDataset(cleaned_data) expected = 'Cannot create dataset for only codon positions 1st and 3rd.' result = dataset_creator.errors[0] self.assertEqual(expected, str(result)) def test_dataset_1st3rd_codon_partitioned_1st2nd_3rd(self): cleaned_data = self.cleaned_data.copy() cleaned_data['partition_by_positions'] = '1st-2nd, 3rd' cleaned_data['positions'] = ['1st', '3rd'] dataset_creator = CreateDataset(cleaned_data) expected = 'Cannot create dataset for only codon positions 1st and 3rd.' result = dataset_creator.errors[0] self.assertEqual(expected, str(result)) def test_dataset_2nd3rd_codon_partitioned_one(self): cleaned_data = self.cleaned_data.copy() cleaned_data['partition_by_positions'] = 'by gene' cleaned_data['positions'] = ['2nd', '3rd'] dataset_creator = CreateDataset(cleaned_data) expected = 'Cannot create dataset for only codon positions 2nd and 3rd.' result = dataset_creator.errors[0] self.assertEqual(expected, str(result)) def test_dataset_2nd3rd_codon_partitioned_each(self): cleaned_data = self.cleaned_data.copy() cleaned_data['partition_by_positions'] = 'by codon position' cleaned_data['positions'] = ['2nd', '3rd'] dataset_creator = CreateDataset(cleaned_data) expected = 'Cannot create dataset for only codon positions 2nd and 3rd.' result = dataset_creator.errors[0] self.assertEqual(expected, str(result)) def test_dataset_2nd3rd_codon_partitioned_1st2nd_3rd(self): cleaned_data = self.cleaned_data.copy() cleaned_data['partition_by_positions'] = '1st-2nd,3rd' cleaned_data['positions'] = ['2nd', '3rd'] dataset_creator = CreateDataset(cleaned_data) expected = 'Cannot create dataset for only codon positions 2nd and 3rd.' result = dataset_creator.errors[0] self.assertEqual(expected, str(result))
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0.070956
0.052748
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0.88485
0.884461
0.882776
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2b95532ba6af0563ed209231db56fea5527667d6
60
py
Python
src/utils/__init__.py
manugraj/trait-seeker
8614e17be7af23161a608486d6111117eb25821b
[ "Apache-2.0" ]
null
null
null
src/utils/__init__.py
manugraj/trait-seeker
8614e17be7af23161a608486d6111117eb25821b
[ "Apache-2.0" ]
1
2021-06-25T09:31:23.000Z
2021-06-25T09:31:23.000Z
src/utils/__init__.py
manugraj/trait-seeker
8614e17be7af23161a608486d6111117eb25821b
[ "Apache-2.0" ]
null
null
null
import os def paths(*args): return os.path.join(*args)
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2ba2e371f668520a7eeaa5361c1b989b5dd87b0c
42,106
py
Python
sdk/python/pulumi_oci/autoscaling/auto_scaling_configuration.py
EladGabay/pulumi-oci
6841e27d4a1a7e15c672306b769912efbfd3ba99
[ "ECL-2.0", "Apache-2.0" ]
5
2021-08-17T11:14:46.000Z
2021-12-31T02:07:03.000Z
sdk/python/pulumi_oci/autoscaling/auto_scaling_configuration.py
pulumi-oci/pulumi-oci
6841e27d4a1a7e15c672306b769912efbfd3ba99
[ "ECL-2.0", "Apache-2.0" ]
1
2021-09-06T11:21:29.000Z
2021-09-06T11:21:29.000Z
sdk/python/pulumi_oci/autoscaling/auto_scaling_configuration.py
pulumi-oci/pulumi-oci
6841e27d4a1a7e15c672306b769912efbfd3ba99
[ "ECL-2.0", "Apache-2.0" ]
2
2021-08-24T23:31:30.000Z
2022-01-02T19:26:54.000Z
# coding=utf-8 # *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. *** # *** Do not edit by hand unless you're certain you know what you are doing! *** import warnings import pulumi import pulumi.runtime from typing import Any, Mapping, Optional, Sequence, Union, overload from .. import _utilities from . import outputs from ._inputs import * __all__ = ['AutoScalingConfigurationArgs', 'AutoScalingConfiguration'] @pulumi.input_type class AutoScalingConfigurationArgs: def __init__(__self__, *, auto_scaling_resources: pulumi.Input['AutoScalingConfigurationAutoScalingResourcesArgs'], compartment_id: pulumi.Input[str], policies: pulumi.Input[Sequence[pulumi.Input['AutoScalingConfigurationPolicyArgs']]], cool_down_in_seconds: Optional[pulumi.Input[int]] = None, defined_tags: Optional[pulumi.Input[Mapping[str, Any]]] = None, display_name: Optional[pulumi.Input[str]] = None, freeform_tags: Optional[pulumi.Input[Mapping[str, Any]]] = None, is_enabled: Optional[pulumi.Input[bool]] = None): """ The set of arguments for constructing a AutoScalingConfiguration resource. :param pulumi.Input['AutoScalingConfigurationAutoScalingResourcesArgs'] auto_scaling_resources: A resource that is managed by an autoscaling configuration. The only supported type is `instancePool`. :param pulumi.Input[str] compartment_id: (Updatable) The [OCID](https://docs.cloud.oracle.com/iaas/Content/General/Concepts/identifiers.htm) of the compartment containing the autoscaling configuration. :param pulumi.Input[Sequence[pulumi.Input['AutoScalingConfigurationPolicyArgs']]] policies: Autoscaling policy definitions for the autoscaling configuration. An autoscaling policy defines the criteria that trigger autoscaling actions and the actions to take. :param pulumi.Input[int] cool_down_in_seconds: (Updatable) For threshold-based autoscaling policies, this value is the minimum period of time to wait between scaling actions. The cooldown period gives the system time to stabilize before rescaling. The minimum value is 300 seconds, which is also the default. The cooldown period starts when the instance pool reaches the running state. :param pulumi.Input[Mapping[str, Any]] defined_tags: (Updatable) Defined tags for this resource. Each key is predefined and scoped to a namespace. For more information, see [Resource Tags](https://docs.cloud.oracle.com/iaas/Content/General/Concepts/resourcetags.htm). Example: `{"Operations.CostCenter": "42"}` :param pulumi.Input[str] display_name: A user-friendly name. Does not have to be unique, and it's changeable. Avoid entering confidential information. :param pulumi.Input[Mapping[str, Any]] freeform_tags: (Updatable) Free-form tags for this resource. Each tag is a simple key-value pair with no predefined name, type, or namespace. For more information, see [Resource Tags](https://docs.cloud.oracle.com/iaas/Content/General/Concepts/resourcetags.htm). Example: `{"Department": "Finance"}` :param pulumi.Input[bool] is_enabled: Whether the autoscaling policy is enabled. """ pulumi.set(__self__, "auto_scaling_resources", auto_scaling_resources) pulumi.set(__self__, "compartment_id", compartment_id) pulumi.set(__self__, "policies", policies) if cool_down_in_seconds is not None: pulumi.set(__self__, "cool_down_in_seconds", cool_down_in_seconds) if defined_tags is not None: pulumi.set(__self__, "defined_tags", defined_tags) if display_name is not None: pulumi.set(__self__, "display_name", display_name) if freeform_tags is not None: pulumi.set(__self__, "freeform_tags", freeform_tags) if is_enabled is not None: pulumi.set(__self__, "is_enabled", is_enabled) @property @pulumi.getter(name="autoScalingResources") def auto_scaling_resources(self) -> pulumi.Input['AutoScalingConfigurationAutoScalingResourcesArgs']: """ A resource that is managed by an autoscaling configuration. The only supported type is `instancePool`. """ return pulumi.get(self, "auto_scaling_resources") @auto_scaling_resources.setter def auto_scaling_resources(self, value: pulumi.Input['AutoScalingConfigurationAutoScalingResourcesArgs']): pulumi.set(self, "auto_scaling_resources", value) @property @pulumi.getter(name="compartmentId") def compartment_id(self) -> pulumi.Input[str]: """ (Updatable) The [OCID](https://docs.cloud.oracle.com/iaas/Content/General/Concepts/identifiers.htm) of the compartment containing the autoscaling configuration. """ return pulumi.get(self, "compartment_id") @compartment_id.setter def compartment_id(self, value: pulumi.Input[str]): pulumi.set(self, "compartment_id", value) @property @pulumi.getter def policies(self) -> pulumi.Input[Sequence[pulumi.Input['AutoScalingConfigurationPolicyArgs']]]: """ Autoscaling policy definitions for the autoscaling configuration. An autoscaling policy defines the criteria that trigger autoscaling actions and the actions to take. """ return pulumi.get(self, "policies") @policies.setter def policies(self, value: pulumi.Input[Sequence[pulumi.Input['AutoScalingConfigurationPolicyArgs']]]): pulumi.set(self, "policies", value) @property @pulumi.getter(name="coolDownInSeconds") def cool_down_in_seconds(self) -> Optional[pulumi.Input[int]]: """ (Updatable) For threshold-based autoscaling policies, this value is the minimum period of time to wait between scaling actions. The cooldown period gives the system time to stabilize before rescaling. The minimum value is 300 seconds, which is also the default. The cooldown period starts when the instance pool reaches the running state. """ return pulumi.get(self, "cool_down_in_seconds") @cool_down_in_seconds.setter def cool_down_in_seconds(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "cool_down_in_seconds", value) @property @pulumi.getter(name="definedTags") def defined_tags(self) -> Optional[pulumi.Input[Mapping[str, Any]]]: """ (Updatable) Defined tags for this resource. Each key is predefined and scoped to a namespace. For more information, see [Resource Tags](https://docs.cloud.oracle.com/iaas/Content/General/Concepts/resourcetags.htm). Example: `{"Operations.CostCenter": "42"}` """ return pulumi.get(self, "defined_tags") @defined_tags.setter def defined_tags(self, value: Optional[pulumi.Input[Mapping[str, Any]]]): pulumi.set(self, "defined_tags", value) @property @pulumi.getter(name="displayName") def display_name(self) -> Optional[pulumi.Input[str]]: """ A user-friendly name. Does not have to be unique, and it's changeable. Avoid entering confidential information. """ return pulumi.get(self, "display_name") @display_name.setter def display_name(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "display_name", value) @property @pulumi.getter(name="freeformTags") def freeform_tags(self) -> Optional[pulumi.Input[Mapping[str, Any]]]: """ (Updatable) Free-form tags for this resource. Each tag is a simple key-value pair with no predefined name, type, or namespace. For more information, see [Resource Tags](https://docs.cloud.oracle.com/iaas/Content/General/Concepts/resourcetags.htm). Example: `{"Department": "Finance"}` """ return pulumi.get(self, "freeform_tags") @freeform_tags.setter def freeform_tags(self, value: Optional[pulumi.Input[Mapping[str, Any]]]): pulumi.set(self, "freeform_tags", value) @property @pulumi.getter(name="isEnabled") def is_enabled(self) -> Optional[pulumi.Input[bool]]: """ Whether the autoscaling policy is enabled. """ return pulumi.get(self, "is_enabled") @is_enabled.setter def is_enabled(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "is_enabled", value) @pulumi.input_type class _AutoScalingConfigurationState: def __init__(__self__, *, auto_scaling_resources: Optional[pulumi.Input['AutoScalingConfigurationAutoScalingResourcesArgs']] = None, compartment_id: Optional[pulumi.Input[str]] = None, cool_down_in_seconds: Optional[pulumi.Input[int]] = None, defined_tags: Optional[pulumi.Input[Mapping[str, Any]]] = None, display_name: Optional[pulumi.Input[str]] = None, freeform_tags: Optional[pulumi.Input[Mapping[str, Any]]] = None, is_enabled: Optional[pulumi.Input[bool]] = None, max_resource_count: Optional[pulumi.Input[int]] = None, min_resource_count: Optional[pulumi.Input[int]] = None, policies: Optional[pulumi.Input[Sequence[pulumi.Input['AutoScalingConfigurationPolicyArgs']]]] = None, time_created: Optional[pulumi.Input[str]] = None): """ Input properties used for looking up and filtering AutoScalingConfiguration resources. :param pulumi.Input['AutoScalingConfigurationAutoScalingResourcesArgs'] auto_scaling_resources: A resource that is managed by an autoscaling configuration. The only supported type is `instancePool`. :param pulumi.Input[str] compartment_id: (Updatable) The [OCID](https://docs.cloud.oracle.com/iaas/Content/General/Concepts/identifiers.htm) of the compartment containing the autoscaling configuration. :param pulumi.Input[int] cool_down_in_seconds: (Updatable) For threshold-based autoscaling policies, this value is the minimum period of time to wait between scaling actions. The cooldown period gives the system time to stabilize before rescaling. The minimum value is 300 seconds, which is also the default. The cooldown period starts when the instance pool reaches the running state. :param pulumi.Input[Mapping[str, Any]] defined_tags: (Updatable) Defined tags for this resource. Each key is predefined and scoped to a namespace. For more information, see [Resource Tags](https://docs.cloud.oracle.com/iaas/Content/General/Concepts/resourcetags.htm). Example: `{"Operations.CostCenter": "42"}` :param pulumi.Input[str] display_name: A user-friendly name. Does not have to be unique, and it's changeable. Avoid entering confidential information. :param pulumi.Input[Mapping[str, Any]] freeform_tags: (Updatable) Free-form tags for this resource. Each tag is a simple key-value pair with no predefined name, type, or namespace. For more information, see [Resource Tags](https://docs.cloud.oracle.com/iaas/Content/General/Concepts/resourcetags.htm). Example: `{"Department": "Finance"}` :param pulumi.Input[bool] is_enabled: Whether the autoscaling policy is enabled. :param pulumi.Input[int] max_resource_count: The maximum number of resources to scale out to. :param pulumi.Input[int] min_resource_count: The minimum number of resources to scale in to. :param pulumi.Input[Sequence[pulumi.Input['AutoScalingConfigurationPolicyArgs']]] policies: Autoscaling policy definitions for the autoscaling configuration. An autoscaling policy defines the criteria that trigger autoscaling actions and the actions to take. :param pulumi.Input[str] time_created: The date and time the autoscaling configuration was created, in the format defined by RFC3339. Example: `2016-08-25T21:10:29.600Z` """ if auto_scaling_resources is not None: pulumi.set(__self__, "auto_scaling_resources", auto_scaling_resources) if compartment_id is not None: pulumi.set(__self__, "compartment_id", compartment_id) if cool_down_in_seconds is not None: pulumi.set(__self__, "cool_down_in_seconds", cool_down_in_seconds) if defined_tags is not None: pulumi.set(__self__, "defined_tags", defined_tags) if display_name is not None: pulumi.set(__self__, "display_name", display_name) if freeform_tags is not None: pulumi.set(__self__, "freeform_tags", freeform_tags) if is_enabled is not None: pulumi.set(__self__, "is_enabled", is_enabled) if max_resource_count is not None: pulumi.set(__self__, "max_resource_count", max_resource_count) if min_resource_count is not None: pulumi.set(__self__, "min_resource_count", min_resource_count) if policies is not None: pulumi.set(__self__, "policies", policies) if time_created is not None: pulumi.set(__self__, "time_created", time_created) @property @pulumi.getter(name="autoScalingResources") def auto_scaling_resources(self) -> Optional[pulumi.Input['AutoScalingConfigurationAutoScalingResourcesArgs']]: """ A resource that is managed by an autoscaling configuration. The only supported type is `instancePool`. """ return pulumi.get(self, "auto_scaling_resources") @auto_scaling_resources.setter def auto_scaling_resources(self, value: Optional[pulumi.Input['AutoScalingConfigurationAutoScalingResourcesArgs']]): pulumi.set(self, "auto_scaling_resources", value) @property @pulumi.getter(name="compartmentId") def compartment_id(self) -> Optional[pulumi.Input[str]]: """ (Updatable) The [OCID](https://docs.cloud.oracle.com/iaas/Content/General/Concepts/identifiers.htm) of the compartment containing the autoscaling configuration. """ return pulumi.get(self, "compartment_id") @compartment_id.setter def compartment_id(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "compartment_id", value) @property @pulumi.getter(name="coolDownInSeconds") def cool_down_in_seconds(self) -> Optional[pulumi.Input[int]]: """ (Updatable) For threshold-based autoscaling policies, this value is the minimum period of time to wait between scaling actions. The cooldown period gives the system time to stabilize before rescaling. The minimum value is 300 seconds, which is also the default. The cooldown period starts when the instance pool reaches the running state. """ return pulumi.get(self, "cool_down_in_seconds") @cool_down_in_seconds.setter def cool_down_in_seconds(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "cool_down_in_seconds", value) @property @pulumi.getter(name="definedTags") def defined_tags(self) -> Optional[pulumi.Input[Mapping[str, Any]]]: """ (Updatable) Defined tags for this resource. Each key is predefined and scoped to a namespace. For more information, see [Resource Tags](https://docs.cloud.oracle.com/iaas/Content/General/Concepts/resourcetags.htm). Example: `{"Operations.CostCenter": "42"}` """ return pulumi.get(self, "defined_tags") @defined_tags.setter def defined_tags(self, value: Optional[pulumi.Input[Mapping[str, Any]]]): pulumi.set(self, "defined_tags", value) @property @pulumi.getter(name="displayName") def display_name(self) -> Optional[pulumi.Input[str]]: """ A user-friendly name. Does not have to be unique, and it's changeable. Avoid entering confidential information. """ return pulumi.get(self, "display_name") @display_name.setter def display_name(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "display_name", value) @property @pulumi.getter(name="freeformTags") def freeform_tags(self) -> Optional[pulumi.Input[Mapping[str, Any]]]: """ (Updatable) Free-form tags for this resource. Each tag is a simple key-value pair with no predefined name, type, or namespace. For more information, see [Resource Tags](https://docs.cloud.oracle.com/iaas/Content/General/Concepts/resourcetags.htm). Example: `{"Department": "Finance"}` """ return pulumi.get(self, "freeform_tags") @freeform_tags.setter def freeform_tags(self, value: Optional[pulumi.Input[Mapping[str, Any]]]): pulumi.set(self, "freeform_tags", value) @property @pulumi.getter(name="isEnabled") def is_enabled(self) -> Optional[pulumi.Input[bool]]: """ Whether the autoscaling policy is enabled. """ return pulumi.get(self, "is_enabled") @is_enabled.setter def is_enabled(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "is_enabled", value) @property @pulumi.getter(name="maxResourceCount") def max_resource_count(self) -> Optional[pulumi.Input[int]]: """ The maximum number of resources to scale out to. """ return pulumi.get(self, "max_resource_count") @max_resource_count.setter def max_resource_count(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "max_resource_count", value) @property @pulumi.getter(name="minResourceCount") def min_resource_count(self) -> Optional[pulumi.Input[int]]: """ The minimum number of resources to scale in to. """ return pulumi.get(self, "min_resource_count") @min_resource_count.setter def min_resource_count(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "min_resource_count", value) @property @pulumi.getter def policies(self) -> Optional[pulumi.Input[Sequence[pulumi.Input['AutoScalingConfigurationPolicyArgs']]]]: """ Autoscaling policy definitions for the autoscaling configuration. An autoscaling policy defines the criteria that trigger autoscaling actions and the actions to take. """ return pulumi.get(self, "policies") @policies.setter def policies(self, value: Optional[pulumi.Input[Sequence[pulumi.Input['AutoScalingConfigurationPolicyArgs']]]]): pulumi.set(self, "policies", value) @property @pulumi.getter(name="timeCreated") def time_created(self) -> Optional[pulumi.Input[str]]: """ The date and time the autoscaling configuration was created, in the format defined by RFC3339. Example: `2016-08-25T21:10:29.600Z` """ return pulumi.get(self, "time_created") @time_created.setter def time_created(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "time_created", value) class AutoScalingConfiguration(pulumi.CustomResource): @overload def __init__(__self__, resource_name: str, opts: Optional[pulumi.ResourceOptions] = None, auto_scaling_resources: Optional[pulumi.Input[pulumi.InputType['AutoScalingConfigurationAutoScalingResourcesArgs']]] = None, compartment_id: Optional[pulumi.Input[str]] = None, cool_down_in_seconds: Optional[pulumi.Input[int]] = None, defined_tags: Optional[pulumi.Input[Mapping[str, Any]]] = None, display_name: Optional[pulumi.Input[str]] = None, freeform_tags: Optional[pulumi.Input[Mapping[str, Any]]] = None, is_enabled: Optional[pulumi.Input[bool]] = None, policies: Optional[pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['AutoScalingConfigurationPolicyArgs']]]]] = None, __props__=None): """ This resource provides the Auto Scaling Configuration resource in Oracle Cloud Infrastructure Auto Scaling service. Creates an autoscaling configuration. ## Example Usage ```python import pulumi import pulumi_oci as oci test_auto_scaling_configuration = oci.autoscaling.AutoScalingConfiguration("testAutoScalingConfiguration", auto_scaling_resources=oci.autoscaling.AutoScalingConfigurationAutoScalingResourcesArgs( id=var["auto_scaling_configuration_auto_scaling_resources_id"], type=var["auto_scaling_configuration_auto_scaling_resources_type"], ), compartment_id=var["compartment_id"], policies=[oci.autoscaling.AutoScalingConfigurationPolicyArgs( policy_type=var["auto_scaling_configuration_policies_policy_type"], capacity=oci.autoscaling.AutoScalingConfigurationPolicyCapacityArgs( initial=var["auto_scaling_configuration_policies_capacity_initial"], max=var["auto_scaling_configuration_policies_capacity_max"], min=var["auto_scaling_configuration_policies_capacity_min"], ), display_name=var["auto_scaling_configuration_policies_display_name"], execution_schedule=oci.autoscaling.AutoScalingConfigurationPolicyExecutionScheduleArgs( expression=var["auto_scaling_configuration_policies_execution_schedule_expression"], timezone=var["auto_scaling_configuration_policies_execution_schedule_timezone"], type=var["auto_scaling_configuration_policies_execution_schedule_type"], ), is_enabled=var["auto_scaling_configuration_policies_is_enabled"], resource_action=oci.autoscaling.AutoScalingConfigurationPolicyResourceActionArgs( action=var["auto_scaling_configuration_policies_resource_action_action"], action_type=var["auto_scaling_configuration_policies_resource_action_action_type"], ), rules=[oci.autoscaling.AutoScalingConfigurationPolicyRuleArgs( action=oci.autoscaling.AutoScalingConfigurationPolicyRuleActionArgs( type=var["auto_scaling_configuration_policies_rules_action_type"], value=var["auto_scaling_configuration_policies_rules_action_value"], ), display_name=var["auto_scaling_configuration_policies_rules_display_name"], metric=oci.autoscaling.AutoScalingConfigurationPolicyRuleMetricArgs( metric_type=var["auto_scaling_configuration_policies_rules_metric_metric_type"], threshold=oci.autoscaling.AutoScalingConfigurationPolicyRuleMetricThresholdArgs( operator=var["auto_scaling_configuration_policies_rules_metric_threshold_operator"], value=var["auto_scaling_configuration_policies_rules_metric_threshold_value"], ), ), )], )], cool_down_in_seconds=var["auto_scaling_configuration_cool_down_in_seconds"], defined_tags={ "Operations.CostCenter": "42", }, display_name=var["auto_scaling_configuration_display_name"], freeform_tags={ "Department": "Finance", }, is_enabled=var["auto_scaling_configuration_is_enabled"]) ``` ## Import AutoScalingConfigurations can be imported using the `id`, e.g. ```sh $ pulumi import oci:autoscaling/autoScalingConfiguration:AutoScalingConfiguration test_auto_scaling_configuration "id" ``` :param str resource_name: The name of the resource. :param pulumi.ResourceOptions opts: Options for the resource. :param pulumi.Input[pulumi.InputType['AutoScalingConfigurationAutoScalingResourcesArgs']] auto_scaling_resources: A resource that is managed by an autoscaling configuration. The only supported type is `instancePool`. :param pulumi.Input[str] compartment_id: (Updatable) The [OCID](https://docs.cloud.oracle.com/iaas/Content/General/Concepts/identifiers.htm) of the compartment containing the autoscaling configuration. :param pulumi.Input[int] cool_down_in_seconds: (Updatable) For threshold-based autoscaling policies, this value is the minimum period of time to wait between scaling actions. The cooldown period gives the system time to stabilize before rescaling. The minimum value is 300 seconds, which is also the default. The cooldown period starts when the instance pool reaches the running state. :param pulumi.Input[Mapping[str, Any]] defined_tags: (Updatable) Defined tags for this resource. Each key is predefined and scoped to a namespace. For more information, see [Resource Tags](https://docs.cloud.oracle.com/iaas/Content/General/Concepts/resourcetags.htm). Example: `{"Operations.CostCenter": "42"}` :param pulumi.Input[str] display_name: A user-friendly name. Does not have to be unique, and it's changeable. Avoid entering confidential information. :param pulumi.Input[Mapping[str, Any]] freeform_tags: (Updatable) Free-form tags for this resource. Each tag is a simple key-value pair with no predefined name, type, or namespace. For more information, see [Resource Tags](https://docs.cloud.oracle.com/iaas/Content/General/Concepts/resourcetags.htm). Example: `{"Department": "Finance"}` :param pulumi.Input[bool] is_enabled: Whether the autoscaling policy is enabled. :param pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['AutoScalingConfigurationPolicyArgs']]]] policies: Autoscaling policy definitions for the autoscaling configuration. An autoscaling policy defines the criteria that trigger autoscaling actions and the actions to take. """ ... @overload def __init__(__self__, resource_name: str, args: AutoScalingConfigurationArgs, opts: Optional[pulumi.ResourceOptions] = None): """ This resource provides the Auto Scaling Configuration resource in Oracle Cloud Infrastructure Auto Scaling service. Creates an autoscaling configuration. ## Example Usage ```python import pulumi import pulumi_oci as oci test_auto_scaling_configuration = oci.autoscaling.AutoScalingConfiguration("testAutoScalingConfiguration", auto_scaling_resources=oci.autoscaling.AutoScalingConfigurationAutoScalingResourcesArgs( id=var["auto_scaling_configuration_auto_scaling_resources_id"], type=var["auto_scaling_configuration_auto_scaling_resources_type"], ), compartment_id=var["compartment_id"], policies=[oci.autoscaling.AutoScalingConfigurationPolicyArgs( policy_type=var["auto_scaling_configuration_policies_policy_type"], capacity=oci.autoscaling.AutoScalingConfigurationPolicyCapacityArgs( initial=var["auto_scaling_configuration_policies_capacity_initial"], max=var["auto_scaling_configuration_policies_capacity_max"], min=var["auto_scaling_configuration_policies_capacity_min"], ), display_name=var["auto_scaling_configuration_policies_display_name"], execution_schedule=oci.autoscaling.AutoScalingConfigurationPolicyExecutionScheduleArgs( expression=var["auto_scaling_configuration_policies_execution_schedule_expression"], timezone=var["auto_scaling_configuration_policies_execution_schedule_timezone"], type=var["auto_scaling_configuration_policies_execution_schedule_type"], ), is_enabled=var["auto_scaling_configuration_policies_is_enabled"], resource_action=oci.autoscaling.AutoScalingConfigurationPolicyResourceActionArgs( action=var["auto_scaling_configuration_policies_resource_action_action"], action_type=var["auto_scaling_configuration_policies_resource_action_action_type"], ), rules=[oci.autoscaling.AutoScalingConfigurationPolicyRuleArgs( action=oci.autoscaling.AutoScalingConfigurationPolicyRuleActionArgs( type=var["auto_scaling_configuration_policies_rules_action_type"], value=var["auto_scaling_configuration_policies_rules_action_value"], ), display_name=var["auto_scaling_configuration_policies_rules_display_name"], metric=oci.autoscaling.AutoScalingConfigurationPolicyRuleMetricArgs( metric_type=var["auto_scaling_configuration_policies_rules_metric_metric_type"], threshold=oci.autoscaling.AutoScalingConfigurationPolicyRuleMetricThresholdArgs( operator=var["auto_scaling_configuration_policies_rules_metric_threshold_operator"], value=var["auto_scaling_configuration_policies_rules_metric_threshold_value"], ), ), )], )], cool_down_in_seconds=var["auto_scaling_configuration_cool_down_in_seconds"], defined_tags={ "Operations.CostCenter": "42", }, display_name=var["auto_scaling_configuration_display_name"], freeform_tags={ "Department": "Finance", }, is_enabled=var["auto_scaling_configuration_is_enabled"]) ``` ## Import AutoScalingConfigurations can be imported using the `id`, e.g. ```sh $ pulumi import oci:autoscaling/autoScalingConfiguration:AutoScalingConfiguration test_auto_scaling_configuration "id" ``` :param str resource_name: The name of the resource. :param AutoScalingConfigurationArgs args: The arguments to use to populate this resource's properties. :param pulumi.ResourceOptions opts: Options for the resource. """ ... def __init__(__self__, resource_name: str, *args, **kwargs): resource_args, opts = _utilities.get_resource_args_opts(AutoScalingConfigurationArgs, pulumi.ResourceOptions, *args, **kwargs) if resource_args is not None: __self__._internal_init(resource_name, opts, **resource_args.__dict__) else: __self__._internal_init(resource_name, *args, **kwargs) def _internal_init(__self__, resource_name: str, opts: Optional[pulumi.ResourceOptions] = None, auto_scaling_resources: Optional[pulumi.Input[pulumi.InputType['AutoScalingConfigurationAutoScalingResourcesArgs']]] = None, compartment_id: Optional[pulumi.Input[str]] = None, cool_down_in_seconds: Optional[pulumi.Input[int]] = None, defined_tags: Optional[pulumi.Input[Mapping[str, Any]]] = None, display_name: Optional[pulumi.Input[str]] = None, freeform_tags: Optional[pulumi.Input[Mapping[str, Any]]] = None, is_enabled: Optional[pulumi.Input[bool]] = None, policies: Optional[pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['AutoScalingConfigurationPolicyArgs']]]]] = None, __props__=None): if opts is None: opts = pulumi.ResourceOptions() if not isinstance(opts, pulumi.ResourceOptions): raise TypeError('Expected resource options to be a ResourceOptions instance') if opts.version is None: opts.version = _utilities.get_version() if opts.id is None: if __props__ is not None: raise TypeError('__props__ is only valid when passed in combination with a valid opts.id to get an existing resource') __props__ = AutoScalingConfigurationArgs.__new__(AutoScalingConfigurationArgs) if auto_scaling_resources is None and not opts.urn: raise TypeError("Missing required property 'auto_scaling_resources'") __props__.__dict__["auto_scaling_resources"] = auto_scaling_resources if compartment_id is None and not opts.urn: raise TypeError("Missing required property 'compartment_id'") __props__.__dict__["compartment_id"] = compartment_id __props__.__dict__["cool_down_in_seconds"] = cool_down_in_seconds __props__.__dict__["defined_tags"] = defined_tags __props__.__dict__["display_name"] = display_name __props__.__dict__["freeform_tags"] = freeform_tags __props__.__dict__["is_enabled"] = is_enabled if policies is None and not opts.urn: raise TypeError("Missing required property 'policies'") __props__.__dict__["policies"] = policies __props__.__dict__["max_resource_count"] = None __props__.__dict__["min_resource_count"] = None __props__.__dict__["time_created"] = None super(AutoScalingConfiguration, __self__).__init__( 'oci:autoscaling/autoScalingConfiguration:AutoScalingConfiguration', resource_name, __props__, opts) @staticmethod def get(resource_name: str, id: pulumi.Input[str], opts: Optional[pulumi.ResourceOptions] = None, auto_scaling_resources: Optional[pulumi.Input[pulumi.InputType['AutoScalingConfigurationAutoScalingResourcesArgs']]] = None, compartment_id: Optional[pulumi.Input[str]] = None, cool_down_in_seconds: Optional[pulumi.Input[int]] = None, defined_tags: Optional[pulumi.Input[Mapping[str, Any]]] = None, display_name: Optional[pulumi.Input[str]] = None, freeform_tags: Optional[pulumi.Input[Mapping[str, Any]]] = None, is_enabled: Optional[pulumi.Input[bool]] = None, max_resource_count: Optional[pulumi.Input[int]] = None, min_resource_count: Optional[pulumi.Input[int]] = None, policies: Optional[pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['AutoScalingConfigurationPolicyArgs']]]]] = None, time_created: Optional[pulumi.Input[str]] = None) -> 'AutoScalingConfiguration': """ Get an existing AutoScalingConfiguration resource's state with the given name, id, and optional extra properties used to qualify the lookup. :param str resource_name: The unique name of the resulting resource. :param pulumi.Input[str] id: The unique provider ID of the resource to lookup. :param pulumi.ResourceOptions opts: Options for the resource. :param pulumi.Input[pulumi.InputType['AutoScalingConfigurationAutoScalingResourcesArgs']] auto_scaling_resources: A resource that is managed by an autoscaling configuration. The only supported type is `instancePool`. :param pulumi.Input[str] compartment_id: (Updatable) The [OCID](https://docs.cloud.oracle.com/iaas/Content/General/Concepts/identifiers.htm) of the compartment containing the autoscaling configuration. :param pulumi.Input[int] cool_down_in_seconds: (Updatable) For threshold-based autoscaling policies, this value is the minimum period of time to wait between scaling actions. The cooldown period gives the system time to stabilize before rescaling. The minimum value is 300 seconds, which is also the default. The cooldown period starts when the instance pool reaches the running state. :param pulumi.Input[Mapping[str, Any]] defined_tags: (Updatable) Defined tags for this resource. Each key is predefined and scoped to a namespace. For more information, see [Resource Tags](https://docs.cloud.oracle.com/iaas/Content/General/Concepts/resourcetags.htm). Example: `{"Operations.CostCenter": "42"}` :param pulumi.Input[str] display_name: A user-friendly name. Does not have to be unique, and it's changeable. Avoid entering confidential information. :param pulumi.Input[Mapping[str, Any]] freeform_tags: (Updatable) Free-form tags for this resource. Each tag is a simple key-value pair with no predefined name, type, or namespace. For more information, see [Resource Tags](https://docs.cloud.oracle.com/iaas/Content/General/Concepts/resourcetags.htm). Example: `{"Department": "Finance"}` :param pulumi.Input[bool] is_enabled: Whether the autoscaling policy is enabled. :param pulumi.Input[int] max_resource_count: The maximum number of resources to scale out to. :param pulumi.Input[int] min_resource_count: The minimum number of resources to scale in to. :param pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['AutoScalingConfigurationPolicyArgs']]]] policies: Autoscaling policy definitions for the autoscaling configuration. An autoscaling policy defines the criteria that trigger autoscaling actions and the actions to take. :param pulumi.Input[str] time_created: The date and time the autoscaling configuration was created, in the format defined by RFC3339. Example: `2016-08-25T21:10:29.600Z` """ opts = pulumi.ResourceOptions.merge(opts, pulumi.ResourceOptions(id=id)) __props__ = _AutoScalingConfigurationState.__new__(_AutoScalingConfigurationState) __props__.__dict__["auto_scaling_resources"] = auto_scaling_resources __props__.__dict__["compartment_id"] = compartment_id __props__.__dict__["cool_down_in_seconds"] = cool_down_in_seconds __props__.__dict__["defined_tags"] = defined_tags __props__.__dict__["display_name"] = display_name __props__.__dict__["freeform_tags"] = freeform_tags __props__.__dict__["is_enabled"] = is_enabled __props__.__dict__["max_resource_count"] = max_resource_count __props__.__dict__["min_resource_count"] = min_resource_count __props__.__dict__["policies"] = policies __props__.__dict__["time_created"] = time_created return AutoScalingConfiguration(resource_name, opts=opts, __props__=__props__) @property @pulumi.getter(name="autoScalingResources") def auto_scaling_resources(self) -> pulumi.Output['outputs.AutoScalingConfigurationAutoScalingResources']: """ A resource that is managed by an autoscaling configuration. The only supported type is `instancePool`. """ return pulumi.get(self, "auto_scaling_resources") @property @pulumi.getter(name="compartmentId") def compartment_id(self) -> pulumi.Output[str]: """ (Updatable) The [OCID](https://docs.cloud.oracle.com/iaas/Content/General/Concepts/identifiers.htm) of the compartment containing the autoscaling configuration. """ return pulumi.get(self, "compartment_id") @property @pulumi.getter(name="coolDownInSeconds") def cool_down_in_seconds(self) -> pulumi.Output[int]: """ (Updatable) For threshold-based autoscaling policies, this value is the minimum period of time to wait between scaling actions. The cooldown period gives the system time to stabilize before rescaling. The minimum value is 300 seconds, which is also the default. The cooldown period starts when the instance pool reaches the running state. """ return pulumi.get(self, "cool_down_in_seconds") @property @pulumi.getter(name="definedTags") def defined_tags(self) -> pulumi.Output[Mapping[str, Any]]: """ (Updatable) Defined tags for this resource. Each key is predefined and scoped to a namespace. For more information, see [Resource Tags](https://docs.cloud.oracle.com/iaas/Content/General/Concepts/resourcetags.htm). Example: `{"Operations.CostCenter": "42"}` """ return pulumi.get(self, "defined_tags") @property @pulumi.getter(name="displayName") def display_name(self) -> pulumi.Output[str]: """ A user-friendly name. Does not have to be unique, and it's changeable. Avoid entering confidential information. """ return pulumi.get(self, "display_name") @property @pulumi.getter(name="freeformTags") def freeform_tags(self) -> pulumi.Output[Mapping[str, Any]]: """ (Updatable) Free-form tags for this resource. Each tag is a simple key-value pair with no predefined name, type, or namespace. For more information, see [Resource Tags](https://docs.cloud.oracle.com/iaas/Content/General/Concepts/resourcetags.htm). Example: `{"Department": "Finance"}` """ return pulumi.get(self, "freeform_tags") @property @pulumi.getter(name="isEnabled") def is_enabled(self) -> pulumi.Output[bool]: """ Whether the autoscaling policy is enabled. """ return pulumi.get(self, "is_enabled") @property @pulumi.getter(name="maxResourceCount") def max_resource_count(self) -> pulumi.Output[int]: """ The maximum number of resources to scale out to. """ return pulumi.get(self, "max_resource_count") @property @pulumi.getter(name="minResourceCount") def min_resource_count(self) -> pulumi.Output[int]: """ The minimum number of resources to scale in to. """ return pulumi.get(self, "min_resource_count") @property @pulumi.getter def policies(self) -> pulumi.Output[Sequence['outputs.AutoScalingConfigurationPolicy']]: """ Autoscaling policy definitions for the autoscaling configuration. An autoscaling policy defines the criteria that trigger autoscaling actions and the actions to take. """ return pulumi.get(self, "policies") @property @pulumi.getter(name="timeCreated") def time_created(self) -> pulumi.Output[str]: """ The date and time the autoscaling configuration was created, in the format defined by RFC3339. Example: `2016-08-25T21:10:29.600Z` """ return pulumi.get(self, "time_created")
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7
2bb7a6067a3c511856e7e3ed9507e73795766c6f
721
py
Python
objects/characters.py
Legor/WesternCityDiscordBot
d7eea0c3d257651aeafb8cdbe4a47dfb2527d0a1
[ "MIT" ]
null
null
null
objects/characters.py
Legor/WesternCityDiscordBot
d7eea0c3d257651aeafb8cdbe4a47dfb2527d0a1
[ "MIT" ]
null
null
null
objects/characters.py
Legor/WesternCityDiscordBot
d7eea0c3d257651aeafb8cdbe4a47dfb2527d0a1
[ "MIT" ]
null
null
null
class PlayerCharacter: def __init__(self, user=None, character_name=None): self.user = str(user) self.character_name = character_name self.friend = None self.enemy = None def __repr__(self): return "{} ({})".format(self.character_name, self.user) def __str__(self): return "{} ({})".format(self.character_name, self.user) class NonPlayerCharacter: def __init__(self, user=None, character_name=None): self.user = str(user) self.character_name = character_name def __repr__(self): return "{} ({})".format(self.character_name, self.user) def __str__(self): return "{} ({})".format(self.character_name, self.user)
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13
a60562c4273a7897236f62d5b7f25d963244cc8c
170
py
Python
main/views.py
Tu1026/DjangoWebsite
743eb50579ef2d35027c59e2a4e5f48b5ef344bd
[ "Apache-2.0" ]
1
2021-07-15T17:46:45.000Z
2021-07-15T17:46:45.000Z
main/views.py
Tu1026/djangoWebsite
743eb50579ef2d35027c59e2a4e5f48b5ef344bd
[ "Apache-2.0" ]
null
null
null
main/views.py
Tu1026/djangoWebsite
743eb50579ef2d35027c59e2a4e5f48b5ef344bd
[ "Apache-2.0" ]
null
null
null
from django.shortcuts import render def home(request): return render(request, 'main/home.html') def tutorial(request): return render(request, 'main/tutorial.html')
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a68e94bc7be428cff8e984d17ec7b6f96212dcf0
54
py
Python
tonic/version.py
jhamman/VICpy
67cc1a1efa481a65e304917bc8af36c2a30af055
[ "MIT" ]
18
2015-07-16T15:39:10.000Z
2021-10-12T15:22:08.000Z
tonic/version.py
jhamman/VICpy
67cc1a1efa481a65e304917bc8af36c2a30af055
[ "MIT" ]
46
2015-07-16T18:00:45.000Z
2021-01-13T19:08:12.000Z
tonic/version.py
jhamman/VICpy
67cc1a1efa481a65e304917bc8af36c2a30af055
[ "MIT" ]
24
2015-07-16T00:00:59.000Z
2020-08-19T05:02:50.000Z
version = '0.0.0.dev-7b09158' short_version = '0.0.0'
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7
a69d7d7c505207871ce097fafa2eab63b26a2f8b
258
py
Python
pycortecs/utility/exceptions/not_connected_error.py
cortecs-ai/pycortecs
41d7cd17d56620cfd532d2739873e618bd811dbb
[ "MIT" ]
9
2021-07-28T13:32:58.000Z
2021-08-16T16:44:20.000Z
pycortecs/utility/exceptions/not_connected_error.py
cortecs-ai/pycortecs
41d7cd17d56620cfd532d2739873e618bd811dbb
[ "MIT" ]
null
null
null
pycortecs/utility/exceptions/not_connected_error.py
cortecs-ai/pycortecs
41d7cd17d56620cfd532d2739873e618bd811dbb
[ "MIT" ]
1
2021-08-08T18:07:57.000Z
2021-08-08T18:07:57.000Z
class NotConnectedError(Exception): def __init__(self, status_code, message): self.status_code = status_code self.message = message def __str__(self): return 'Statuscode: {}\nDetail:{}'.format(self.status_code, self.message)
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8
a6a4cca67e65073005af62ac440094c0f1a595ba
48,845
py
Python
nose/test_coords.py
fardal/galpy
93a1b6fc8d138899922127086cc66184919c8cba
[ "BSD-3-Clause" ]
null
null
null
nose/test_coords.py
fardal/galpy
93a1b6fc8d138899922127086cc66184919c8cba
[ "BSD-3-Clause" ]
null
null
null
nose/test_coords.py
fardal/galpy
93a1b6fc8d138899922127086cc66184919c8cba
[ "BSD-3-Clause" ]
null
null
null
from __future__ import print_function, division import numpy from galpy.util import bovy_coords from test_streamdf import expected_failure def test_radec_to_lb_ngp(): # Test that the NGP is at b=90 ra, dec= 192.25, 27.4 lb= bovy_coords.radec_to_lb(ra,dec,degree=True,epoch=1950.) assert numpy.fabs(lb[1]-90.) < 10.**-8., 'Galactic latitude of the NGP given in ra,dec is not 90' # Also test this for degree=False lb= bovy_coords.radec_to_lb(ra/180.*numpy.pi,dec/180.*numpy.pi, degree=False,epoch=1950.) assert numpy.fabs(lb[1]-numpy.pi/2.) < 10.**-8., 'Galactic latitude of the NGP given in ra,dec is not pi/2' return None def test_radec_to_lb_sgp(): # Test that the SGP is at b=90 ra, dec= 12.25, -27.4 lb= bovy_coords.radec_to_lb(ra,dec,degree=True,epoch=1950.) assert numpy.fabs(lb[1]+90.) < 10.**-8., 'Galactic latitude of the SGP given in ra,dec is not 90' # Also test this for degree=False lb= bovy_coords.radec_to_lb(ra/180.*numpy.pi,dec/180.*numpy.pi, degree=False,epoch=1950.) assert numpy.fabs(lb[1]+numpy.pi/2.) < 10.**-8., 'Galactic latitude of the SGP given in ra,dec is not pi/2' return None # Test the longitude of the north celestial pole def test_radec_to_lb_ncp(): ra, dec= 180., 90. lb= bovy_coords.radec_to_lb(ra,dec,degree=True,epoch=1950.) assert numpy.fabs(lb[0]-123.) < 10.**-8., 'Galactic longitude of the NCP given in ra,dec is not 123' # Also test this for degree=False lb= bovy_coords.radec_to_lb(ra/180.*numpy.pi,dec/180.*numpy.pi, degree=False,epoch=1950.) assert numpy.fabs(lb[0]-123./180.*numpy.pi) < 10.**-8., 'Galactic longitude of the NCP given in ra,dec is not 123' # Also test the latter for vector inputs os= numpy.ones(2) lb= bovy_coords.radec_to_lb(os*ra/180.*numpy.pi,os*dec/180.*numpy.pi, degree=False,epoch=1950.) assert numpy.all(numpy.fabs(lb[:,0]-123./180.*numpy.pi) < 10.**-8.), 'Galactic longitude of the NCP given in ra,dec is not 123' return None # Test that other epochs do not work def test_radec_to_lb_otherepochs(): ra, dec= 180., 90. try: lb= bovy_coords.radec_to_lb(ra/180.*numpy.pi,dec/180.*numpy.pi, degree=False,epoch=1975.) except IOError: pass else: raise AssertionError('radec functions with epoch not equal to 1950 or 2000 did not raise IOError') # Test that radec_to_lb and lb_to_radec are each other's inverse def test_lb_to_radec(): ra, dec= 120, 60. lb= bovy_coords.radec_to_lb(ra,dec,degree=True,epoch=2000.) rat, dect= bovy_coords.lb_to_radec(lb[0],lb[1],degree=True,epoch=2000.) assert numpy.fabs(ra-rat) < 10.**-10., 'lb_to_radec is not the inverse of radec_to_lb' assert numpy.fabs(dec-dect) < 10.**-10., 'lb_to_radec is not the inverse of radec_to_lb' # Also test this for degree=False lb= bovy_coords.radec_to_lb(ra/180.*numpy.pi,dec/180.*numpy.pi, degree=False,epoch=2000.) rat, dect= bovy_coords.lb_to_radec(lb[0],lb[1],degree=False,epoch=2000.) assert numpy.fabs(ra/180.*numpy.pi-rat) < 10.**-10., 'lb_to_radec is not the inverse of radec_to_lb' assert numpy.fabs(dec/180.*numpy.pi-dect) < 10.**-10., 'lb_to_radec is not the inverse of radec_to_lb' # And also test this for arrays os= numpy.ones(2) lb= bovy_coords.radec_to_lb(os*ra/180.*numpy.pi,os*dec/180.*numpy.pi, degree=False,epoch=2000.) ratdect= bovy_coords.lb_to_radec(lb[:,0],lb[:,1],degree=False,epoch=2000.) rat= ratdect[:,0] dect= ratdect[:,1] assert numpy.all(numpy.fabs(ra/180.*numpy.pi-rat) < 10.**-10.), 'lb_to_radec is not the inverse of radec_to_lb' assert numpy.all(numpy.fabs(dec/180.*numpy.pi-dect) < 10.**-10.), 'lb_to_radec is not the inverse of radec_to_lb' #Also test for a negative l l,b= 240., 60. ra,dec= bovy_coords.lb_to_radec(l,b,degree=True) lt,bt= bovy_coords.radec_to_lb(ra,dec,degree=True) assert numpy.fabs(lt-l) < 10.**-10., 'lb_to_radec is not the inverse of radec_to_lb' assert numpy.fabs(bt-b) < 10.**-10., 'lb_to_radec is not the inverse of radec_to_lb' return None # Test lb_to_XYZ def test_lbd_to_XYZ(): l,b,d= 90., 30.,1. XYZ= bovy_coords.lbd_to_XYZ(l,b,d,degree=True) assert numpy.fabs(XYZ[0]) <10.**-10., 'lbd_to_XYZ conversion does not work as expected' assert numpy.fabs(XYZ[1]-numpy.sqrt(3.)/2.) < 10.**-10., 'lbd_to_XYZ conversion does not work as expected' assert numpy.fabs(XYZ[2]-0.5) < 10.**-10., 'lbd_to_XYZ conversion does not work as expected' # Also test for degree=False XYZ= bovy_coords.lbd_to_XYZ(l/180.*numpy.pi,b/180.*numpy.pi,d,degree=False) assert numpy.fabs(XYZ[0]) <10.**-10., 'lbd_to_XYZ conversion does not work as expected' assert numpy.fabs(XYZ[1]-numpy.sqrt(3.)/2.) < 10.**-10., 'lbd_to_XYZ conversion does not work as expected' assert numpy.fabs(XYZ[2]-0.5) < 10.**-10., 'lbd_to_XYZ conversion does not work as expected' # Also test for arrays os= numpy.ones(2) XYZ= bovy_coords.lbd_to_XYZ(os*l/180.*numpy.pi,os*b/180.*numpy.pi, os*d,degree=False) assert numpy.all(numpy.fabs(XYZ[:,0]) <10.**-10.), 'lbd_to_XYZ conversion does not work as expected' assert numpy.all(numpy.fabs(XYZ[:,1]-numpy.sqrt(3.)/2.) < 10.**-10.), 'lbd_to_XYZ conversion does not work as expected' assert numpy.all(numpy.fabs(XYZ[:,2]-0.5) < 10.**-10.), 'lbd_to_XYZ conversion does not work as expected' return None # Test that XYZ_to_lbd is the inverse of lbd_to_XYZ def test_XYZ_to_lbd(): l,b,d= 90., 30.,1. XYZ= bovy_coords.lbd_to_XYZ(l,b,d,degree=True) lt,bt,dt= bovy_coords.XYZ_to_lbd(XYZ[0],XYZ[1],XYZ[2],degree=True) assert numpy.fabs(lt-l) <10.**-10., 'XYZ_to_lbd conversion does not work as expected' assert numpy.fabs(bt-b) < 10.**-10., 'XYZ_to_lbd conversion does not work as expected' assert numpy.fabs(dt-d) < 10.**-10., 'XYZ_to_lbd conversion does not work as expected' # Also test for degree=False XYZ= bovy_coords.lbd_to_XYZ(l/180.*numpy.pi,b/180.*numpy.pi,d,degree=False) lt,bt,dt= bovy_coords.XYZ_to_lbd(XYZ[0],XYZ[1],XYZ[2],degree=False) assert numpy.fabs(lt-l/180.*numpy.pi) <10.**-10., 'XYZ_to_lbd conversion does not work as expected' assert numpy.fabs(bt-b/180.*numpy.pi) < 10.**-10., 'XYZ_to_lbd conversion does not work as expected' assert numpy.fabs(dt-d) < 10.**-10., 'XYZ_to_lbd conversion does not work as expected' # Also test for arrays os= numpy.ones(2) XYZ= bovy_coords.lbd_to_XYZ(os*l/180.*numpy.pi,os*b/180.*numpy.pi, os*d,degree=False) lbdt= bovy_coords.XYZ_to_lbd(XYZ[:,0],XYZ[:,1],XYZ[:,2],degree=False) assert numpy.all(numpy.fabs(lbdt[:,0]-l/180.*numpy.pi) <10.**-10.), 'XYZ_to_lbd conversion does not work as expected' assert numpy.all(numpy.fabs(lbdt[:,1]-b/180.*numpy.pi) < 10.**-10.), 'XYZ_to_lbd conversion does not work as expected' assert numpy.all(numpy.fabs(lbdt[:,2]-d) < 10.**-10.), 'XYZ_to_lbd conversion does not work as expected' return None def test_vrpmllpmbb_to_vxvyvz(): l,b,d= 90., 0.,1. vr,pmll,pmbb= 10.,20./4.74047,-10./4.74047 vxvyvz= bovy_coords.vrpmllpmbb_to_vxvyvz(vr,pmll,pmbb,l,b,d, degree=True,XYZ=False) assert numpy.fabs(vxvyvz[0]+20.) < 10.**-10., 'vrpmllpmbb_to_vxvyvz conversion did not work as expected' assert numpy.fabs(vxvyvz[1]-10.) < 10.**-10., 'vrpmllpmbb_to_vxvyvz conversion did not work as expected' assert numpy.fabs(vxvyvz[2]+10.) < 10.**-10., 'vrpmllpmbb_to_vxvyvz conversion did not work as expected' vxvyvz= bovy_coords.vrpmllpmbb_to_vxvyvz(vr,pmll,pmbb,l/180.*numpy.pi, b/180.*numpy.pi,d, degree=False,XYZ=False) assert numpy.fabs(vxvyvz[0]+20.) < 10.**-10., 'vrpmllpmbb_to_vxvyvz conversion did not work as expected' assert numpy.fabs(vxvyvz[1]-10.) < 10.**-10., 'vrpmllpmbb_to_vxvyvz conversion did not work as expected' assert numpy.fabs(vxvyvz[2]+10.) < 10.**-10., 'vrpmllpmbb_to_vxvyvz conversion did not work as expected' vxvyvz= bovy_coords.vrpmllpmbb_to_vxvyvz(vr,pmll,pmbb,0.,1,0., XYZ=True) assert numpy.fabs(vxvyvz[0]+20.) < 10.**-10., 'vrpmllpmbb_to_vxvyvz conversion did not work as expected' assert numpy.fabs(vxvyvz[1]-10.) < 10.**-10., 'vrpmllpmbb_to_vxvyvz conversion did not work as expected' assert numpy.fabs(vxvyvz[2]+10.) < 10.**-10., 'vrpmllpmbb_to_vxvyvz conversion did not work as expected' vxvyvz= bovy_coords.vrpmllpmbb_to_vxvyvz(vr,pmll,pmbb,0.,1,0., XYZ=True,degree=True) assert numpy.fabs(vxvyvz[0]+20.) < 10.**-10., 'vrpmllpmbb_to_vxvyvz conversion did not work as expected' assert numpy.fabs(vxvyvz[1]-10.) < 10.**-10., 'vrpmllpmbb_to_vxvyvz conversion did not work as expected' assert numpy.fabs(vxvyvz[2]+10.) < 10.**-10., 'vrpmllpmbb_to_vxvyvz conversion did not work as expected' #Also test for arrays os= numpy.ones(2) vxvyvz= bovy_coords.vrpmllpmbb_to_vxvyvz(os*vr,os*pmll,os*pmbb,os*l,os*b, os*d,degree=True,XYZ=False) assert numpy.all(numpy.fabs(vxvyvz[:,0]+20.) < 10.**-10.), 'vrpmllpmbb_to_vxvyvz conversion did not work as expected' assert numpy.all(numpy.fabs(vxvyvz[:,1]-10.) < 10.**-10.), 'vrpmllpmbb_to_vxvyvz conversion did not work as expected' assert numpy.all(numpy.fabs(vxvyvz[:,2]+10.) < 10.**-10.), 'vrpmllpmbb_to_vxvyvz conversion did not work as expected' return None def test_vxvyvz_to_vrpmllpmbb(): vx,vy,vz= -20.*4.74047,10.,-10.*4.74047 X,Y,Z= 0.,1.,0. vrpmllpmbb= bovy_coords.vxvyvz_to_vrpmllpmbb(vx,vy,vz,X,Y,Z, XYZ=True) assert numpy.fabs(vrpmllpmbb[0]-10.) < 10.**-10., 'vxvyvz_to_vrpmllpmbb conversion did not work as expected' assert numpy.fabs(vrpmllpmbb[1]-20.) < 10.**-10., 'vxvyvz_to_vrpmllpmbb conversion did not work as expected' assert numpy.fabs(vrpmllpmbb[2]+10.) < 10.**-10., 'vxvyvz_to_vrpmllpmbb conversion did not work as expected' # also try with degree=True (that shouldn't fail!) vrpmllpmbb= bovy_coords.vxvyvz_to_vrpmllpmbb(vx,vy,vz,X,Y,Z, XYZ=True, degree=True) assert numpy.fabs(vrpmllpmbb[0]-10.) < 10.**-10., 'vxvyvz_to_vrpmllpmbb conversion did not work as expected' assert numpy.fabs(vrpmllpmbb[1]-20.) < 10.**-10., 'vxvyvz_to_vrpmllpmbb conversion did not work as expected' assert numpy.fabs(vrpmllpmbb[2]+10.) < 10.**-10., 'vxvyvz_to_vrpmllpmbb conversion did not work as expected' # also for lbd vrpmllpmbb= bovy_coords.vxvyvz_to_vrpmllpmbb(vx,vy,vz,90.,0.,1., XYZ=False,degree=True) assert numpy.fabs(vrpmllpmbb[0]-10.) < 10.**-10., 'vxvyvz_to_vrpmllpmbb conversion did not work as expected' assert numpy.fabs(vrpmllpmbb[1]-20.) < 10.**-10., 'vxvyvz_to_vrpmllpmbb conversion did not work as expected' assert numpy.fabs(vrpmllpmbb[2]+10.) < 10.**-10., 'vxvyvz_to_vrpmllpmbb conversion did not work as expected' # also for lbd, not in degree vrpmllpmbb= bovy_coords.vxvyvz_to_vrpmllpmbb(vx,vy,vz,numpy.pi/2.,0.,1., XYZ=False,degree=False) assert numpy.fabs(vrpmllpmbb[0]-10.) < 10.**-10., 'vxvyvz_to_vrpmllpmbb conversion did not work as expected' assert numpy.fabs(vrpmllpmbb[1]-20.) < 10.**-10., 'vxvyvz_to_vrpmllpmbb conversion did not work as expected' assert numpy.fabs(vrpmllpmbb[2]+10.) < 10.**-10., 'vxvyvz_to_vrpmllpmbb conversion did not work as expected' # and for arrays os= numpy.ones(2) vrpmllpmbb= bovy_coords.vxvyvz_to_vrpmllpmbb(os*vx,os*vy,os*vz, os*numpy.pi/2.,os*0.,os, XYZ=False,degree=False) assert numpy.all(numpy.fabs(vrpmllpmbb[:,0]-10.) < 10.**-10.), 'vxvyvz_to_vrpmllpmbb conversion did not work as expected' assert numpy.all(numpy.fabs(vrpmllpmbb[:,1]-20.) < 10.**-10.), 'vxvyvz_to_vrpmllpmbb conversion did not work as expected' assert numpy.all(numpy.fabs(vrpmllpmbb[:,2]+10.) < 10.**-10.), 'vxvyvz_to_vrpmllpmbb conversion did not work as expected' return None def test_XYZ_to_galcenrect(): X,Y,Z= 1.,3.,-2. gcXYZ= bovy_coords.XYZ_to_galcenrect(X,Y,Z,Xsun=1.,Ysun=0.,Zsun=0.) assert numpy.fabs(gcXYZ[0]) < 10.**-10., 'XYZ_to_galcenrect conversion did not work as expected' assert numpy.fabs(gcXYZ[1]-3.) < 10.**-10., 'XYZ_to_galcenrect conversion did not work as expected' assert numpy.fabs(gcXYZ[2]+2.) < 10.**-10., 'XYZ_to_galcenrect conversion did not work as expected' #Another test X,Y,Z= -1.,3.,-2. gcXYZ= bovy_coords.XYZ_to_galcenrect(X,Y,Z,Xsun=1.,Ysun=0.,Zsun=0.) assert numpy.fabs(gcXYZ[0]-2.) < 10.**-10., 'XYZ_to_galcenrect conversion did not work as expected' assert numpy.fabs(gcXYZ[1]-3.) < 10.**-10., 'XYZ_to_galcenrect conversion did not work as expected' assert numpy.fabs(gcXYZ[2]+2.) < 10.**-10., 'XYZ_to_galcenrect conversion did not work as expected' return None def test_galcenrect_to_XYZ(): gcX, gcY, gcZ= -1.,4.,2. XYZ= bovy_coords.galcenrect_to_XYZ(gcX,gcY,gcZ,Xsun=1.,Ysun=0.,Zsun=0.) assert numpy.fabs(XYZ[0]-2.) < 10.**-10., 'galcenrect_to_XYZ conversion did not work as expected' assert numpy.fabs(XYZ[1]-4.) < 10.**-10., 'galcenrect_to_XYZ conversion did not work as expected' assert numpy.fabs(XYZ[2]-2.) < 10.**-10., 'galcenrect_to_XYZ conversion did not work as expected' return None def test_XYZ_to_galcencyl(): X,Y,Z= 5.,4.,-2. gcRpZ= bovy_coords.XYZ_to_galcencyl(X,Y,Z,Xsun=8.,Ysun=0.,Zsun=0.) assert numpy.fabs(gcRpZ[0]-5.) < 10.**-10., 'XYZ_to_galcencyl conversion did not work as expected' assert numpy.fabs(gcRpZ[1]-numpy.arctan(4./3.)) < 10.**-10., 'XYZ_to_galcencyl conversion did not work as expected' assert numpy.fabs(gcRpZ[2]+2.) < 10.**-10., 'XYZ_to_galcencyl conversion did not work as expected' #Another X X,Y,Z= 11.,4.,-2. gcRpZ= bovy_coords.XYZ_to_galcencyl(X,Y,Z,Xsun=8.,Ysun=0.,Zsun=0.) assert numpy.fabs(gcRpZ[0]-5.) < 10.**-10., 'XYZ_to_galcencyl conversion did not work as expected' assert numpy.fabs(gcRpZ[1]-numpy.pi+numpy.arctan(4./3.)) < 10.**-10., 'XYZ_to_galcencyl conversion did not work as expected' assert numpy.fabs(gcRpZ[2]+2.) < 10.**-10., 'XYZ_to_galcencyl conversion did not work as expected' return None def test_galcencyl_to_XYZ(): gcR, gcp, gcZ= 5.,numpy.arctan(4./3.),2. XYZ= bovy_coords.galcencyl_to_XYZ(gcR,gcp,gcZ,Xsun=8.,Ysun=0.,Zsun=0.) assert numpy.fabs(XYZ[0]-5.) < 10.**-10., 'galcencyl_to_XYZ conversion did not work as expected' assert numpy.fabs(XYZ[1]-4.) < 10.**-10., 'galcencyl_to_XYZ conversion did not work as expected' assert numpy.fabs(XYZ[2]-2.) < 10.**-10., 'galcencyl_to_XYZ conversion did not work as expected' return None def test_vxvyvz_to_galcenrect(): vx,vy,vz= 10.,-20.,30 vgc= bovy_coords.vxvyvz_to_galcenrect(vx,vy,vz,vsun=[-5.,10.,5.]) assert numpy.fabs(vgc[0]+15.) < 10.**-10., 'vxvyvz_to_galcenrect conversion did not work as expected' assert numpy.fabs(vgc[1]+10.) < 10.**-10., 'vxvyvz_to_galcenrect conversion did not work as expected' assert numpy.fabs(vgc[2]-35.) < 10.**-10., 'vxvyvz_to_galcenrect conversion did not work as expected' return None def test_vxvyvz_to_galcencyl(): X,Y,Z= 3.,4.,2. vx,vy,vz= 10.,-20.,30 vgc= bovy_coords.vxvyvz_to_galcencyl(vx,vy,vz,X,Y,Z,vsun=[-5.,10.,5.]) assert numpy.fabs(vgc[0]+17.) < 10.**-10., 'vxvyvz_to_galcenrect conversion did not work as expected' assert numpy.fabs(vgc[1]-6.) < 10.**-10., 'vxvyvz_to_galcenrect conversion did not work as expected' assert numpy.fabs(vgc[2]-35.) < 10.**-10., 'vxvyvz_to_galcenrect conversion did not work as expected' #with galcen=True vgc= bovy_coords.vxvyvz_to_galcencyl(vx,vy,vz,5.,numpy.arctan(4./3.),Z, vsun=[-5.,10.,5.],galcen=True) assert numpy.fabs(vgc[0]+17.) < 10.**-10., 'vxvyvz_to_galcenrect conversion did not work as expected' assert numpy.fabs(vgc[1]-6.) < 10.**-10., 'vxvyvz_to_galcenrect conversion did not work as expected' assert numpy.fabs(vgc[2]-35.) < 10.**-10., 'vxvyvz_to_galcenrect conversion did not work as expected' return None def test_galcenrect_to_vxvyvz(): vxg,vyg,vzg= -15.,-10.,35. vxyz= bovy_coords.galcenrect_to_vxvyvz(vxg,vyg,vzg,vsun=[-5.,10.,5.]) assert numpy.fabs(vxyz[0]-10.) < 10.**-10., 'galcenrect_to_vxvyvz conversion did not work as expected' assert numpy.fabs(vxyz[1]+20.) < 10.**-10., 'galcenrect_to_vxvyvz conversion did not work as expected' assert numpy.fabs(vxyz[2]-30.) < 10.**-10., 'galcenrect_to_vxvyvz conversion did not work as expected' #Also for arrays os= numpy.ones(2) vxyz= bovy_coords.galcenrect_to_vxvyvz(os*vxg,os*vyg,os*vzg, vsun=[-5.,10.,5.]) assert numpy.all(numpy.fabs(vxyz[0]-10.) < 10.**-10.), 'galcenrect_to_vxvyvz conversion did not work as expected' assert numpy.all(numpy.fabs(vxyz[1]+20.) < 10.**-10.), 'galcenrect_to_vxvyvz conversion did not work as expected' assert numpy.all(numpy.fabs(vxyz[2]-30.) < 10.**-10.), 'galcenrect_to_vxvyvz conversion did not work as expected' return None def test_galcencyl_to_vxvyvz(): vr,vp,vz= -17.,6.,35. phi= numpy.arctan(4./3.) vxyz= bovy_coords.galcencyl_to_vxvyvz(vr,vp,vz,phi,vsun=[-5.,10.,5.]) assert numpy.fabs(vxyz[0]-10.) < 10.**-10., 'galcenrect_to_vxvyvz conversion did not work as expected' assert numpy.fabs(vxyz[1]+20.) < 10.**-10., 'galcenrect_to_vxvyvz conversion did not work as expected' assert numpy.fabs(vxyz[2]-30.) < 10.**-10., 'galcenrect_to_vxvyvz conversion did not work as expected' return None def test_sphergal_to_rectgal(): l,b,d= 90.,0.,1. vr,pmll,pmbb= 10.,-20./4.74047,30./4.74047 X,Y,Z,vx,vy,vz= bovy_coords.sphergal_to_rectgal(l,b,d,vr,pmll,pmbb, degree=True) assert numpy.fabs(X-0.) < 10.**-10., 'sphergal_to_rectgal conversion did not work as expected' assert numpy.fabs(Y-1.) < 10.**-10., 'sphergal_to_rectgal conversion did not work as expected' assert numpy.fabs(Z-0.) < 10.**-10., 'sphergal_to_rectgal conversion did not work as expected' assert numpy.fabs(vx-20.) < 10.**-10., 'sphergal_to_rectgal conversion did not work as expected' assert numpy.fabs(vy-10.) < 10.**-10., 'sphergal_to_rectgal conversion did not work as expected' assert numpy.fabs(vz-30.) < 10.**-10., 'sphergal_to_rectgal conversion did not work as expected' #Also test for degree=False X,Y,Z,vx,vy,vz= bovy_coords.sphergal_to_rectgal(l/180.*numpy.pi, b/180.*numpy.pi, d,vr,pmll,pmbb, degree=False) assert numpy.fabs(X-0.) < 10.**-10., 'sphergal_to_rectgal conversion did not work as expected' assert numpy.fabs(Y-1.) < 10.**-10., 'sphergal_to_rectgal conversion did not work as expected' assert numpy.fabs(Z-0.) < 10.**-10., 'sphergal_to_rectgal conversion did not work as expected' assert numpy.fabs(vx-20.) < 10.**-10., 'sphergal_to_rectgal conversion did not work as expected' assert numpy.fabs(vy-10.) < 10.**-10., 'sphergal_to_rectgal conversion did not work as expected' assert numpy.fabs(vz-30.) < 10.**-10., 'sphergal_to_rectgal conversion did not work as expected' #Also test for arrays os= numpy.ones(2) XYZvxvyvz= bovy_coords.sphergal_to_rectgal(os*l,os*b,os*d, os*vr,os*pmll,os*pmbb, degree=True) X= XYZvxvyvz[:,0] Y= XYZvxvyvz[:,1] Z= XYZvxvyvz[:,2] vx= XYZvxvyvz[:,3] vy= XYZvxvyvz[:,4] vz= XYZvxvyvz[:,5] assert numpy.all(numpy.fabs(X-0.) < 10.**-10.), 'sphergal_to_rectgal conversion did not work as expected' assert numpy.all(numpy.fabs(Y-1.) < 10.**-10.), 'sphergal_to_rectgal conversion did not work as expected' assert numpy.all(numpy.fabs(Z-0.) < 10.**-10.), 'sphergal_to_rectgal conversion did not work as expected' assert numpy.all(numpy.fabs(vx-20.) < 10.**-10.), 'sphergal_to_rectgal conversion did not work as expected' assert numpy.all(numpy.fabs(vy-10.) < 10.**-10.), 'sphergal_to_rectgal conversion did not work as expected' assert numpy.all(numpy.fabs(vz-30.) < 10.**-10.), 'sphergal_to_rectgal conversion did not work as expected' return None def test_rectgal_to_sphergal(): #Test that this is the inverse of sphergal_to_rectgal l,b,d= 90.,30.,1. vr,pmll,pmbb= 10.,-20.,30. X,Y,Z,vx,vy,vz= bovy_coords.sphergal_to_rectgal(l,b,d,vr,pmll,pmbb, degree=True) lt,bt,dt,vrt,pmllt,pmbbt= bovy_coords.rectgal_to_sphergal(X,Y,Z, vx,vy,vz, degree=True) assert numpy.fabs(lt-l) < 10.**-10., 'rectgal_to_sphergal conversion did not work as expected' assert numpy.fabs(bt-b) < 10.**-10., 'rectgal_to_sphergal conversion did not work as expected' assert numpy.fabs(dt-d) < 10.**-10., 'rectgal_to_sphergal conversion did not work as expected' assert numpy.fabs(vrt-vr) < 10.**-10., 'rectgal_to_sphergal conversion did not work as expected' assert numpy.fabs(pmllt-pmll) < 10.**-10., 'rectgal_to_sphergal conversion did not work as expected' assert numpy.fabs(pmbbt-pmbb) < 10.**-10., 'rectgal_to_sphergal conversion did not work as expected' #Also test for degree=False lt,bt,dt,vrt,pmllt,pmbbt= bovy_coords.rectgal_to_sphergal(X,Y,Z, vx,vy,vz, degree=False) assert numpy.fabs(lt-l/180.*numpy.pi) < 10.**-10., 'rectgal_to_sphergal conversion did not work as expected' assert numpy.fabs(bt-b/180.*numpy.pi) < 10.**-10., 'rectgal_to_sphergal conversion did not work as expected' assert numpy.fabs(dt-d) < 10.**-10., 'rectgal_to_sphergal conversion did not work as expected' assert numpy.fabs(vrt-vr) < 10.**-10., 'rectgal_to_sphergal conversion did not work as expected' assert numpy.fabs(pmllt-pmll) < 10.**-10., 'rectgal_to_sphergal conversion did not work as expected' assert numpy.fabs(pmbbt-pmbb) < 10.**-10., 'rectgal_to_sphergal conversion did not work as expected' #Also test for arrays os= numpy.ones(2) lbdvrpmllpmbbt= bovy_coords.rectgal_to_sphergal(os*X,os*Y,os*Z, os*vx,os*vy, os*vz, degree=True) lt= lbdvrpmllpmbbt[:,0] bt= lbdvrpmllpmbbt[:,1] dt= lbdvrpmllpmbbt[:,2] vrt= lbdvrpmllpmbbt[:,3] pmllt= lbdvrpmllpmbbt[:,4] pmbbt= lbdvrpmllpmbbt[:,5] assert numpy.all(numpy.fabs(lt-l) < 10.**-10.), 'rectgal_to_sphergal conversion did not work as expected' assert numpy.all(numpy.fabs(bt-b) < 10.**-10.), 'rectgal_to_sphergal conversion did not work as expected' assert numpy.all(numpy.fabs(dt-d) < 10.**-10.), 'rectgal_to_sphergal conversion did not work as expected' assert numpy.all(numpy.fabs(vrt-vr) < 10.**-10.), 'rectgal_to_sphergal conversion did not work as expected' assert numpy.all(numpy.fabs(pmllt-pmll) < 10.**-10.), 'rectgal_to_sphergal conversion did not work as expected' assert numpy.all(numpy.fabs(pmbbt-pmbb) < 10.**-10.), 'rectgal_to_sphergal conversion did not work as expected' return None def test_pmrapmdec_to_pmllpmbb(): #This is a random ra,dec ra, dec= 132., -20.4 pmra, pmdec= 10., 20. pmll, pmbb= bovy_coords.pmrapmdec_to_pmllpmbb(pmra,pmdec, ra,dec,degree=True,epoch=1950.) assert numpy.fabs(numpy.sqrt(pmll**2.+pmbb**2.)-numpy.sqrt(pmra**2.+pmdec**2.)) < 10.**-10., 'pmrapmdec_to_pmllpmbb conversion did not work as expected' # This is close to the NGP at 1950. ra, dec= 192.24, 27.39 pmra, pmdec= 10., 20. os= numpy.ones(2) pmllpmbb= bovy_coords.pmrapmdec_to_pmllpmbb(os*pmra,os*pmdec, os*ra,os*dec, degree=True,epoch=1950.) pmll= pmllpmbb[:,0] pmbb= pmllpmbb[:,1] assert numpy.all(numpy.fabs(numpy.sqrt(pmll**2.+pmbb**2.)-numpy.sqrt(pmra**2.+pmdec**2.)) < 10.**-10.), 'pmrapmdec_to_pmllpmbb conversion did not work as expected close to the NGP' # This is the NGP at 1950. ra, dec= 192.25, 27.4 pmra, pmdec= 10., 20. os= numpy.ones(2) pmllpmbb= bovy_coords.pmrapmdec_to_pmllpmbb(os*pmra,os*pmdec, os*ra,os*dec, degree=True,epoch=1950.) pmll= pmllpmbb[:,0] pmbb= pmllpmbb[:,1] assert numpy.all(numpy.fabs(numpy.sqrt(pmll**2.+pmbb**2.)-numpy.sqrt(pmra**2.+pmdec**2.)) < 10.**-10.), 'pmrapmdec_to_pmllpmbb conversion did not work as expected for the NGP' # This is the NCP ra, dec= numpy.pi, numpy.pi/2. pmra, pmdec= 10., 20. pmll, pmbb= bovy_coords.pmrapmdec_to_pmllpmbb(pmra,pmdec, ra,dec,degree=False, epoch=1950.) assert numpy.fabs(numpy.sqrt(pmll**2.+pmbb**2.)-numpy.sqrt(pmra**2.+pmdec**2.)) < 10.**-10., 'pmrapmdec_to_pmllpmbb conversion did not work as expected for the NCP' return None def test_pmllpmbb_to_pmrapmdec(): #This is a random l,b ll, bb= 132., -20.4 pmll, pmbb= 10., 20. pmra, pmdec= bovy_coords.pmllpmbb_to_pmrapmdec(pmll,pmbb, ll,bb, degree=True,epoch=1950.) assert numpy.fabs(numpy.sqrt(pmll**2.+pmbb**2.)-numpy.sqrt(pmra**2.+pmdec**2.)) < 10.**-10., 'pmllpmbb_to_pmrapmdec conversion did not work as expected for a random l,b' # This is close to the NGP ll,bb= numpy.pi-0.001, numpy.pi/2.-0.001 pmll, pmbb= 10., 20. os= numpy.ones(2) pmrapmdec= bovy_coords.pmllpmbb_to_pmrapmdec(os*pmll,os*pmbb, os*ll,os*bb, degree=False,epoch=1950.) pmra= pmrapmdec[:,0] pmdec= pmrapmdec[:,1] assert numpy.all(numpy.fabs(numpy.sqrt(pmll**2.+pmbb**2.)-numpy.sqrt(pmra**2.+pmdec**2.)) < 10.**-10.), 'pmllpmbb_to_pmrapmdec conversion did not work as expected close to the NGP' # This is the NGP ll,bb= numpy.pi, numpy.pi/2. pmll, pmbb= 10., 20. os= numpy.ones(2) pmrapmdec= bovy_coords.pmllpmbb_to_pmrapmdec(os*pmll,os*pmbb, os*ll,os*bb, degree=False,epoch=1950.) pmra= pmrapmdec[:,0] pmdec= pmrapmdec[:,1] assert numpy.all(numpy.fabs(numpy.sqrt(pmll**2.+pmbb**2.)-numpy.sqrt(pmra**2.+pmdec**2.)) < 10.**-10.), 'pmllpmbb_to_pmrapmdec conversion did not work as expected at the NGP' # This is the NCP ra, dec= numpy.pi, numpy.pi/2. ll, bb= bovy_coords.radec_to_lb(ra,dec,degree=False,epoch=1950.) pmll, pmbb= 10., 20. pmra, pmdec= bovy_coords.pmllpmbb_to_pmrapmdec(pmll,pmbb, ll,bb, degree=False,epoch=1950.) assert numpy.fabs(numpy.sqrt(pmll**2.+pmbb**2.)-numpy.sqrt(pmra**2.+pmdec**2.)) < 10.**-10., 'pmllpmbb_to_pmrapmdec conversion did not work as expected at the NCP' return None def test_cov_pmradec_to_pmllbb(): # This is the NGP at 1950., for this the parallactic angle is 180 ra, dec= 192.25, 27.4 cov_pmrapmdec= numpy.array([[100.,100.],[100.,400.]]) cov_pmllpmbb= bovy_coords.cov_pmrapmdec_to_pmllpmbb(cov_pmrapmdec, ra,dec, degree=True, epoch=1950.) assert numpy.fabs(cov_pmllpmbb[0,0]-100.) < 10.**-10., 'cov_pmradec_to_pmllbb conversion did not work as expected' assert numpy.fabs(cov_pmllpmbb[0,1]-100.) < 10.**-10., 'cov_pmradec_to_pmllbb conversion did not work as expected' assert numpy.fabs(cov_pmllpmbb[1,0]-100.) < 10.**-10., 'cov_pmradec_to_pmllbb conversion did not work as expected' assert numpy.fabs(cov_pmllpmbb[1,1]-400.) < 10.**-10., 'cov_pmradec_to_pmllbb conversion did not work as expected' # This is a random position, check that the conversion makes sense ra, dec= 132.25, -23.4 cov_pmrapmdec= numpy.array([[100.,100.],[100.,400.]]) cov_pmllpmbb= bovy_coords.cov_pmrapmdec_to_pmllpmbb(cov_pmrapmdec, ra/180.*numpy.pi, dec/180.*numpy.pi, degree=False, epoch=1950.) assert numpy.fabs(numpy.linalg.det(cov_pmllpmbb)-numpy.linalg.det(cov_pmrapmdec)) < 10.**-10., 'cov_pmradec_to_pmllbb conversion did not work as expected' assert numpy.fabs(numpy.trace(cov_pmllpmbb)-numpy.trace(cov_pmrapmdec)) < 10.**-10., 'cov_pmradec_to_pmllbb conversion did not work as expected' # This is a random position, check that the conversion makes sense, arrays ra, dec= 132.25, -23.4 icov_pmrapmdec= numpy.array([[100.,100.],[100.,400.]]) cov_pmrapmdec= numpy.empty((3,2,2)) for ii in range(3): cov_pmrapmdec[ii,:,:]= icov_pmrapmdec os= numpy.ones(3) cov_pmllpmbb= bovy_coords.cov_pmrapmdec_to_pmllpmbb(cov_pmrapmdec, os*ra, os*dec, degree=True, epoch=1950.) for ii in range(3): assert numpy.fabs(numpy.linalg.det(cov_pmllpmbb[ii,:,:])-numpy.linalg.det(cov_pmrapmdec[ii,:,:])) < 10.**-10., 'cov_pmradec_to_pmllbb conversion did not work as expected' assert numpy.fabs(numpy.trace(cov_pmllpmbb[ii,:,:])-numpy.trace(cov_pmrapmdec[ii,:,:])) < 10.**-10., 'cov_pmradec_to_pmllbb conversion did not work as expected' return None def test_cov_dvrpmllbb_to_vxyz(): l,b,d= 90., 0., 2. e_d, e_vr= 0.2, 2. cov_pmllpmbb= numpy.array([[100.,0.],[0.,400.]]) pmll,pmbb= 20.,30. cov_vxvyvz= bovy_coords.cov_dvrpmllbb_to_vxyz(d,e_d,e_vr, pmll,pmbb, cov_pmllpmbb, l,b, degree=True, plx=False) assert numpy.fabs(numpy.sqrt(cov_vxvyvz[0,0]) -d*4.74047*pmll*numpy.sqrt((e_d/d)**2.+(10./pmll)**2.)) < 10.**-10., 'cov_dvrpmllbb_to_vxyz coversion did not work as expected' assert numpy.fabs(numpy.sqrt(cov_vxvyvz[1,1])-e_vr) < 10.**-10., 'cov_dvrpmllbb_to_vxyz coversion did not work as expected' assert numpy.fabs(numpy.sqrt(cov_vxvyvz[2,2]) -d*4.74047*pmbb*numpy.sqrt((e_d/d)**2.+(20./pmbb)**2.)) < 10.**-10., 'cov_dvrpmllbb_to_vxyz coversion did not work as expected' #Another one l,b,d= 180., 0., 1./2. e_d, e_vr= 0.05, 2. cov_pmllpmbb= numpy.array([[100.,0.],[0.,400.]]) pmll,pmbb= 20.,30. cov_vxvyvz= bovy_coords.cov_dvrpmllbb_to_vxyz(d,e_d,e_vr, pmll,pmbb, cov_pmllpmbb, l/180.*numpy.pi, b/180.*numpy.pi, degree=False, plx=True) assert numpy.fabs(numpy.sqrt(cov_vxvyvz[0,0])-e_vr) < 10.**-10., 'cov_dvrpmllbb_to_vxyz coversion did not work as expected' assert numpy.fabs(numpy.sqrt(cov_vxvyvz[1,1]) -1./d*4.74047*pmll*numpy.sqrt((e_d/d)**2.+(10./pmll)**2.)) < 10.**-10., 'cov_dvrpmllbb_to_vxyz coversion did not work as expected' assert numpy.fabs(numpy.sqrt(cov_vxvyvz[2,2]) -1./d*4.74047*pmbb*numpy.sqrt((e_d/d)**2.+(20./pmbb)**2.)) < 10.**-10., 'cov_dvrpmllbb_to_vxyz coversion did not work as expected' #Another one, w/ arrays l,b,d= 90., 90., 2. e_d, e_vr= 0.2, 2. tcov_pmllpmbb= numpy.array([[100.,0.],[0.,400.]]) cov_pmllpmbb= numpy.empty((3,2,2)) for ii in range(3): cov_pmllpmbb[ii,:,:]= tcov_pmllpmbb pmll,pmbb= 20.,30. os= numpy.ones(3) cov_vxvyvz= bovy_coords.cov_dvrpmllbb_to_vxyz(os*d,os*e_d,os*e_vr, os*pmll,os*pmbb, cov_pmllpmbb, os*l,os*b, degree=True, plx=False) for ii in range(3): assert numpy.fabs(numpy.sqrt(cov_vxvyvz[ii,0,0]) -d*4.74047*pmll*numpy.sqrt((e_d/d)**2.+(10./pmll)**2.)) < 10.**-10., 'cov_dvrpmllbb_to_vxyz coversion did not work as expected' assert numpy.fabs(numpy.sqrt(cov_vxvyvz[ii,1,1]) -d*4.74047*pmbb*numpy.sqrt((e_d/d)**2.+(20./pmbb)**2.)) < 10.**-10., 'cov_dvrpmllbb_to_vxyz coversion did not work as expected' assert numpy.fabs(numpy.sqrt(cov_vxvyvz[ii,2,2])-e_vr) < 10.**-10., 'cov_dvrpmllbb_to_vxyz coversion did not work as expected' return None def test_dl_to_rphi_2d(): #This is a tangent point l= numpy.arcsin(0.75) d= 6./numpy.tan(l) r,phi= bovy_coords.dl_to_rphi_2d(d,l,degree=False,ro=8.,phio=0.) assert numpy.fabs(r-6.) < 10.**-10., 'dl_to_rphi_2d conversion did not work as expected' assert numpy.fabs(phi-numpy.arccos(0.75)) < 10.**-10., 'dl_to_rphi_2d conversion did not work as expected' #This is a different point d,l= 2., 45. r,phi= bovy_coords.dl_to_rphi_2d(d,l,degree=True,ro=2.*numpy.sqrt(2.), phio=10.) assert numpy.fabs(r-2.) < 10.**-10., 'dl_to_rphi_2d conversion did not work as expected' assert numpy.fabs(phi-55.) < 10.**-10., 'dl_to_rphi_2d conversion did not work as expected' #This is a different point, for array d,l= 2., 45. os= numpy.ones(2) r,phi= bovy_coords.dl_to_rphi_2d(os*d,os*l,degree=True, ro=2.*numpy.sqrt(2.), phio=0.) assert numpy.all(numpy.fabs(r-2.) < 10.**-10.), 'dl_to_rphi_2d conversion did not work as expected' assert numpy.all(numpy.fabs(phi-45.) < 10.**-10.), 'dl_to_rphi_2d conversion did not work as expected' #This is a different point, for list (which I support for some reason) d,l= 2., 45. r,phi= bovy_coords.dl_to_rphi_2d([d,d],[l,l],degree=True, ro=2.*numpy.sqrt(2.), phio=0.) r= numpy.array(r) phi= numpy.array(phi) assert numpy.all(numpy.fabs(r-2.) < 10.**-10.), 'dl_to_rphi_2d conversion did not work as expected' assert numpy.all(numpy.fabs(phi-45.) < 10.**-10.), 'dl_to_rphi_2d conversion did not work as expected' return None def test_rphi_to_dl_2d(): #This is a tangent point r,phi= 6., numpy.arccos(0.75) d,l= bovy_coords.rphi_to_dl_2d(r,phi,degree=False,ro=8.,phio=0.) l= numpy.arcsin(0.75) d= 6./numpy.tan(l) assert numpy.fabs(d-6./numpy.tan(numpy.arcsin(0.75))) < 10.**-10., 'dl_to_rphi_2d conversion did not work as expected' assert numpy.fabs(l-numpy.arcsin(0.75)) < 10.**-10., 'rphi_to_dl_2d conversion did not work as expected' #This is another point r,phi= 2., 55. d,l= bovy_coords.rphi_to_dl_2d(r,phi,degree=True,ro=2.*numpy.sqrt(2.), phio=10.) assert numpy.fabs(d-2.) < 10.**-10., 'rphi_to_dl_2d conversion did not work as expected' assert numpy.fabs(l-45.) < 10.**-10., 'rphi_to_dl_2d conversion did not work as expected' #This is another point, for arrays r,phi= 2., 45. os= numpy.ones(2) d,l= bovy_coords.rphi_to_dl_2d(os*r,os*phi, degree=True,ro=2.*numpy.sqrt(2.), phio=0.) assert numpy.all(numpy.fabs(d-2.) < 10.**-10.), 'rphi_to_dl_2d conversion did not work as expected' assert numpy.all(numpy.fabs(l-45.) < 10.**-10.), 'rphi_to_dl_2d conversion did not work as expected' #This is another point, for lists, which for some reason I support r,phi= 2., 45. d,l= bovy_coords.rphi_to_dl_2d([r,r],[phi,phi], degree=True,ro=2.*numpy.sqrt(2.), phio=0.) d= numpy.array(d) l= numpy.array(l) assert numpy.all(numpy.fabs(d-2.) < 10.**-10.), 'rphi_to_dl_2d conversion did not work as expected' assert numpy.all(numpy.fabs(l-45.) < 10.**-10.), 'rphi_to_dl_2d conversion did not work as expected' return None def test_uv_to_Rz(): u, v= numpy.arccosh(5./3.), numpy.pi/6. R,z= bovy_coords.uv_to_Rz(u,v,delta=3.) assert numpy.fabs(R-2.) < 10.**-10., 'uv_to_Rz conversion did not work as expected' assert numpy.fabs(z-2.5*numpy.sqrt(3.)) < 10.**-10., 'uv_to_Rz conversion did not work as expected' #Also test for arrays os= numpy.ones(2) R,z= bovy_coords.uv_to_Rz(os*u,os*v,delta=3.) assert numpy.all(numpy.fabs(R-2.) < 10.**-10.), 'uv_to_Rz conversion did not work as expected' assert numpy.all(numpy.fabs(z-2.5*numpy.sqrt(3.)) < 10.**-10.), 'uv_to_Rz conversion did not work as expected' return None def test_Rz_to_uv(): u, v= numpy.arccosh(5./3.), numpy.pi/6. ut,vt= bovy_coords.Rz_to_uv(*bovy_coords.uv_to_Rz(u,v,delta=3.),delta=3.) assert numpy.fabs(ut-u) < 10.**-10., 'Rz_to_uvz conversion did not work as expected' assert numpy.fabs(vt-v) < 10.**-10., 'Rz_to_uv conversion did not work as expected' #Also test for arrays os= numpy.ones(2) ut,vt= bovy_coords.Rz_to_uv(*bovy_coords.uv_to_Rz(u*os,v*os,delta=3.),delta=3.) assert numpy.all(numpy.fabs(ut-u) < 10.**-10.), 'Rz_to_uvz conversion did not work as expected' assert numpy.all(numpy.fabs(vt-v) < 10.**-10.), 'Rz_to_uv conversion did not work as expected' return None def test_Rz_to_coshucosv(): u, v= numpy.arccosh(5./3.), numpy.pi/3. R,z= bovy_coords.uv_to_Rz(u,v,delta=3.) coshu,cosv= bovy_coords.Rz_to_coshucosv(R,z,delta=3.) assert numpy.fabs(coshu-5./3.) < 10.**-10., 'Rz_to_coshucosv conversion did notwork as expected' assert numpy.fabs(cosv-0.5) < 10.**-10., 'Rz_to_coshucosv conversion did notwork as expected' #Also test for arrays os= numpy.ones(2) coshu,cosv= bovy_coords.Rz_to_coshucosv(R*os,z*os,delta=3.) assert numpy.all(numpy.fabs(coshu-5./3.) < 10.**-10.), 'Rz_to_coshucosv conversion did notwork as expected' assert numpy.all(numpy.fabs(cosv-0.5) < 10.**-10.), 'Rz_to_coshucosv conversion did notwork as expected' return None def test_lbd_to_XYZ_jac(): #Just position l,b,d= 180.,30.,2. jac= bovy_coords.lbd_to_XYZ_jac(l,b,d,degree=True) assert numpy.fabs(jac[0,0]-0.) < 10.**-10., 'lbd_to_XYZ_jac calculation did not work as expected' assert numpy.fabs(jac[0,1]-numpy.pi/180.) < 10.**-10., 'lbd_to_XYZ_jac calculation did not work as expected' assert numpy.fabs(jac[0,2]+numpy.sqrt(3.)/2.) < 10.**-10., 'lbd_to_XYZ_jac calculation did not work as expected' assert numpy.fabs(jac[1,0]+numpy.sqrt(3.)*numpy.pi/180.) < 10.**-10., 'lbd_to_XYZ_jac calculation did not work as expected' assert numpy.fabs(jac[1,1]-0.) < 10.**-10., 'lbd_to_XYZ_jac calculation did not work as expected' assert numpy.fabs(jac[1,2]-0.) < 10.**-10., 'lbd_to_XYZ_jac calculation did not work as expected' assert numpy.fabs(jac[2,0]-0.) < 10.**-10., 'lbd_to_XYZ_jac calculation did not work as expected' assert numpy.fabs(jac[2,1]-numpy.sqrt(3.)*numpy.pi/180.) < 10.**-10., 'lbd_to_XYZ_jac calculation did not work as expected' assert numpy.fabs(jac[2,2]-0.5) < 10.**-10., 'lbd_to_XYZ_jac calculation did not work as expected' #6D l,b,d= 3.*numpy.pi/2.,numpy.pi/6.,2. vr,pmll,pmbb= 10.,20.,-30. jac= bovy_coords.lbd_to_XYZ_jac(l,b,d,vr,pmll,pmbb,degree=False) assert numpy.fabs(jac[0,0]-numpy.sqrt(3.)) < 10.**-10., 'lbd_to_XYZ_jac calculation did not work as expected' assert numpy.fabs(jac[0,1]-0.) < 10.**-10., 'lbd_to_XYZ_jac calculation did not work as expected' assert numpy.fabs(jac[0,2]-0.) < 10.**-10., 'lbd_to_XYZ_jac calculation did not work as expected' assert numpy.fabs(jac[1,0]-0.) < 10.**-10., 'lbd_to_XYZ_jac calculation did not work as expected' assert numpy.fabs(jac[1,1]-1.) < 10.**-10., 'lbd_to_XYZ_jac calculation did not work as expected' assert numpy.fabs(jac[1,2]+numpy.sqrt(3.)/2.) < 10.**-10., 'lbd_to_XYZ_jac calculation did not work as expected' assert numpy.fabs(jac[2,0]-0.) < 10.**-10., 'lbd_to_XYZ_jac calculation did not work as expected' assert numpy.fabs(jac[2,1]-numpy.sqrt(3.)) < 10.**-10., 'lbd_to_XYZ_jac calculation did not work as expected' assert numpy.fabs(jac[2,2]-0.5) < 10.**-10., 'lbd_to_XYZ_jac calculation did not work as expected' assert numpy.all(numpy.fabs(jac[:3,3:]) < 10.**-10.), 'lbd_to_XYZ_jac calculation did not work as expected' assert numpy.fabs(jac[3,0]-numpy.sqrt(3.)/2.*vr+0.5*pmbb*d*4.74047) < 10.**-10., 'lbd_to_XYZ_jac calculation did not work as expected' assert numpy.fabs(jac[3,1]-0.) < 10.**-10., 'lbd_to_XYZ_jac calculation did not work as expected' assert numpy.fabs(jac[3,2]-pmll*4.74047) < 10.**-10., 'lbd_to_XYZ_jac calculation did not work as expected' assert numpy.fabs(jac[3,3]-0.) < 10.**-10., 'lbd_to_XYZ_jac calculation did not work as expected' assert numpy.fabs(jac[3,4]-d*4.74047) < 10.**-10., 'lbd_to_XYZ_jac calculation did not work as expected' assert numpy.fabs(jac[3,5]-0.) < 10.**-10., 'lbd_to_XYZ_jac calculation did not work as expected' assert numpy.fabs(jac[4,0]-pmll*d*4.74047) < 10.**-10., 'lbd_to_XYZ_jac calculation did not work as expected' assert numpy.fabs(jac[4,1]-vr/2.-numpy.sqrt(3.)/2.*d*pmbb*4.74047) < 10.**-10., 'lbd_to_XYZ_jac calculation did not work as expected' assert numpy.fabs(jac[4,2]-0.5*4.74047*pmbb) < 10.**-10., 'lbd_to_XYZ_jac calculation did not work as expected' assert numpy.fabs(jac[4,3]+numpy.sqrt(3.)/2.) < 10.**-10., 'lbd_to_XYZ_jac calculation did not work as expected' assert numpy.fabs(jac[4,4]-0.) < 10.**-10., 'lbd_to_XYZ_jac calculation did not work as expected' assert numpy.fabs(jac[4,5]-4.74047) < 10.**-10., 'lbd_to_XYZ_jac calculation did not work as expected' assert numpy.fabs(jac[5,0]-0.) < 10.**-10., 'lbd_to_XYZ_jac calculation did not work as expected' assert numpy.fabs(jac[5,1]+0.5*d*4.74047*pmbb-numpy.sqrt(3.)/2.*vr) < 10.**-10., 'lbd_to_XYZ_jac calculation did not work as expected' assert numpy.fabs(jac[5,2]-numpy.sqrt(3.)/2.*4.74047*pmbb) < 10.**-10., 'lbd_to_XYZ_jac calculation did not work as expected' assert numpy.fabs(jac[5,3]-0.5) < 10.**-10., 'lbd_to_XYZ_jac calculation did not work as expected' assert numpy.fabs(jac[5,4]-0.) < 10.**-10., 'lbd_to_XYZ_jac calculation did not work as expected' assert numpy.fabs(jac[5,5]-numpy.sqrt(3.)/2.*d*4.74047) < 10.**-10., 'lbd_to_XYZ_jac calculation did not work as expected' return None def test_cyl_to_rect_jac(): #Just position R,phi,Z= 2., numpy.pi, 1. jac= bovy_coords.cyl_to_rect_jac(R,phi,Z) assert numpy.fabs(numpy.linalg.det(jac)-R) < 10.**-10., 'cyl_to_rect_jac calculation did not work as expected' assert numpy.fabs(jac[0,0]+1.) < 10.**-10., 'cyl_to_rect_jac calculation did not work as expected' assert numpy.fabs(jac[0,1]-0.) < 10.**-10., 'cyl_to_rect_jac calculation did not work as expected' assert numpy.fabs(jac[0,2]-0.) < 10.**-10., 'cyl_to_rect_jac calculation did not work as expected' assert numpy.fabs(jac[1,0]-0.) < 10.**-10., 'cyl_to_rect_jac calculation did not work as expected' assert numpy.fabs(jac[1,1]+2.) < 10.**-10., 'cyl_to_rect_jac calculation did not work as expected' assert numpy.fabs(jac[1,2]-0.) < 10.**-10., 'cyl_to_rect_jac calculation did not work as expected' assert numpy.fabs(jac[2,0]-0.) < 10.**-10., 'cyl_to_rect_jac calculation did not work as expected' assert numpy.fabs(jac[2,1]-0.) < 10.**-10., 'cyl_to_rect_jac calculation did not work as expected' assert numpy.fabs(jac[2,2]-1.) < 10.**-10., 'cyl_to_rect_jac calculation did not work as expected' #6D R,phi,Z= 2., numpy.pi, 1. vR,vT,vZ= 1.,2.,3. jac= bovy_coords.cyl_to_rect_jac(R,vR,vT,Z,vZ,phi) vindx= numpy.array([False,True,True,False,True,False],dtype='bool') assert numpy.fabs(numpy.linalg.det(jac)-R) < 10.**-10., 'cyl_to_rect_jac calculation did not work as expected' assert numpy.fabs(jac[0,0]+1.) < 10.**-10., 'cyl_to_rect_jac calculation did not work as expected' assert numpy.fabs(jac[0,5]-0.) < 10.**-10., 'cyl_to_rect_jac calculation did not work as expected' assert numpy.fabs(jac[0,3]-0.) < 10.**-10., 'cyl_to_rect_jac calculation did not work as expected' assert numpy.all(numpy.fabs(jac[0,vindx]) < 10.**-10.), 'cyl_to_rect_jac calculation did not work as expected' assert numpy.fabs(jac[1,0]-0.) < 10.**-10., 'cyl_to_rect_jac calculation did not work as expected' assert numpy.fabs(jac[1,5]+2.) < 10.**-10., 'cyl_to_rect_jac calculation did not work as expected' assert numpy.fabs(jac[1,3]-0.) < 10.**-10., 'cyl_to_rect_jac calculation did not work as expected' assert numpy.all(numpy.fabs(jac[1,vindx]) < 10.**-10.), 'cyl_to_rect_jac calculation did not work as expected' assert numpy.fabs(jac[2,0]-0.) < 10.**-10., 'cyl_to_rect_jac calculation did not work as expected' assert numpy.fabs(jac[2,5]-0.) < 10.**-10., 'cyl_to_rect_jac calculation did not work as expected' assert numpy.fabs(jac[2,3]-1.) < 10.**-10., 'cyl_to_rect_jac calculation did not work as expected' assert numpy.all(numpy.fabs(jac[2,vindx]) < 10.**-10.), 'cyl_to_rect_jac calculation did not work as expected' #Velocities assert numpy.fabs(jac[3,0]-0.) < 10.**-10., 'cyl_to_rect_jac calculation did not work as expected' assert numpy.fabs(jac[3,1]+1.) < 10.**-10., 'cyl_to_rect_jac calculation did not work as expected' assert numpy.fabs(jac[3,2]-0.) < 10.**-10., 'cyl_to_rect_jac calculation did not work as expected' assert numpy.fabs(jac[3,3]-0.) < 10.**-10., 'cyl_to_rect_jac calculation did not work as expected' assert numpy.fabs(jac[3,4]-0.) < 10.**-10., 'cyl_to_rect_jac calculation did not work as expected' assert numpy.fabs(jac[3,5]-2.) < 10.**-10., 'cyl_to_rect_jac calculation did not work as expected' assert numpy.fabs(jac[4,0]-0.) < 10.**-10., 'cyl_to_rect_jac calculation did not work as expected' assert numpy.fabs(jac[4,1]-0.) < 10.**-10., 'cyl_to_rect_jac calculation did not work as expected' assert numpy.fabs(jac[4,2]+1.) < 10.**-10., 'cyl_to_rect_jac calculation did not work as expected' assert numpy.fabs(jac[4,3]-0.) < 10.**-10., 'cyl_to_rect_jac calculation did not work as expected' assert numpy.fabs(jac[4,4]-0.) < 10.**-10., 'cyl_to_rect_jac calculation did not work as expected' assert numpy.fabs(jac[4,5]+1.) < 10.**-10., 'cyl_to_rect_jac calculation did not work as expected' assert numpy.all(numpy.fabs(jac[5,numpy.array([True,True,True,True,False,True],dtype='bool')]-0.) < 10.**-10.), 'cyl_to_rect_jac calculation did not work as expected' assert numpy.fabs(jac[5,4]-1.) < 10.**-10., 'cyl_to_rect_jac calculation did not work as expected' return None
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