How to use get_statistics method in lisa

Best Python code snippet using lisa_python

3-Count.py

Source:3-Count.py

...128    combineList = []129    for rna_type in rna_type_list:130        combineList.append( statis[rna_type] )131    return combineList132def get_statistics(sample_name):133    smallBam = count_smallRNA_Bam(ROOT_1+sample_name+"/Aligned.out.bam")134    smallSTAR = read_STAR_Logfinalout(ROOT_1+sample_name)135    GenomeBam = count_Genome_bam(ROOT_2+sample_name+"/Aligned.out.bam", GAPer)136    GenomeSTAR = read_STAR_Logfinalout(ROOT_2+sample_name)137    statis = calculate_reads_distribution(smallSTAR, GenomeSTAR, smallBam, GenomeBam)138    combList = combine_list(statis, rna_type_list)139    return combList140rna_type_list = ['tRNA', 'chrM', 'rRNA', 'snRNA', 'snoRNA', 'miRNA', 'other', 'Y', 'intergene', 'lncRNA', 'vault', 'mRNA', 'intron', 'unmap']141ROOT_1 = "/Share/home/zhangqf7/lipan/precursor_SHAPEMAP/statisticalReadsDist/1.STAR_mapping/"142ROOT_2 = "/Share/home/zhangqf7/lipan/precursor_SHAPEMAP/statisticalReadsDist/2.mapGenome/"143###############144#### 20190514 data145###############146INPUT_rep1_20190514 = get_statistics("INPUT_rep1_20190514")147INPUT_rep2_20190514 = get_statistics("INPUT_rep2_20190514")148INPUT_rep3_20190514 = get_statistics("INPUT_rep3_20190514")149RIP_DMSO_rep1_20190514 = get_statistics("RIP_DMSO_rep1_20190514")150RIP_DMSO_rep2_20190514 = get_statistics("RIP_DMSO_rep2_20190514")151RIP_DMSO_rep3_20190514 = get_statistics("RIP_DMSO_rep3_20190514")152RIP_NAIN3_rep1_20190514 = get_statistics("RIP_NAIN3_rep1_20190514")153RIP_NAIN3_rep2_20190514 = get_statistics("RIP_NAIN3_rep2_20190514")154RIP_NAIN3_rep3_20190514 = get_statistics("RIP_NAIN3_rep3_20190514")155samples = ['INPUT_rep1_20190514', 'INPUT_rep2_20190514', 'INPUT_rep3_20190514', 156            'RIP_DMSO_rep1_20190514', 'RIP_DMSO_rep2_20190514', 'RIP_DMSO_rep3_20190514', 157            'RIP_NAIN3_rep1_20190514','RIP_NAIN3_rep2_20190514','RIP_NAIN3_rep3_20190514']158df = pd.DataFrame([eval(file) for file in samples], index=samples, columns=rna_type_list)159df.to_csv("/Share/home/zhangqf7/figs/Pan.csv", sep="\t")160df_ratio = df.divide(df.sum(axis=1), axis='rows') 161df_ratio.to_csv("/Share/home/zhangqf7/figs/Pan_ratio.csv", sep="\t")162###############163#### More More Data164###############165NAI_100mm_vivo_CIRL_CENR_SSII_rep1 = get_statistics("NAI_100mm_vivo_CIRL_CENR_SSII_rep1")166NAI_100mm_vivo_CIRL_CENR_SSII_rep2 = get_statistics("NAI_100mm_vivo_CIRL_CENR_SSII_rep2")167NAI_100mm_vivo_CIRL_SSII = get_statistics("NAI_100mm_vivo_CIRL_SSII")168NAI_100mm_vivo_CIRL_TGIII = get_statistics("NAI_100mm_vivo_CIRL_TGIII")169colnames = ['NAI_100mm_vivo_CIRL_CENR_SSII_rep1', 'NAI_100mm_vivo_CIRL_CENR_SSII_rep2', 'NAI_100mm_vivo_CIRL_SSII', 'NAI_100mm_vivo_CIRL_TGIII']170df = pd.DataFrame([NAI_100mm_vivo_CIRL_CENR_SSII_rep1,NAI_100mm_vivo_CIRL_CENR_SSII_rep2,NAI_100mm_vivo_CIRL_SSII,NAI_100mm_vivo_CIRL_TGIII], index=colnames, columns=rna_type_list)171df.to_csv("/Share/home/zhangqf7/figs/Pan.csv", sep="\t")172df_ratio = df.divide(df.sum(axis=1), axis='rows') 173df_ratio.to_csv("/Share/home/zhangqf7/figs/Pan_ratio.csv", sep="\t")174###############175#### 20190412 data176###############177DMSO_20190412 = get_statistics("DMSO_20190412")178NAI_100mm_10min_rep1_20190412 = get_statistics("NAI_100mm_10min_rep1_20190412")179NAI_100mm_10min_rep2_20190412 = get_statistics("NAI_100mm_10min_rep2_20190412")180NAI_100mm_5min_rep1_20190412 = get_statistics("NAI_100mm_5min_rep1_20190412")181NAI_100mm_5min_rep2_20190412 = get_statistics("NAI_100mm_5min_rep2_20190412")182NAI_50mm_10min_rep1_20190412 = get_statistics("NAI_50mm_10min_rep1_20190412")183NAI_50mm_10min_rep2_20190412 = get_statistics("NAI_50mm_10min_rep2_20190412")184NAI_50mm_5min_rep1_20190412 = get_statistics("NAI_50mm_5min_rep1_20190412")185NAI_50mm_5min_rep2_20190412 = get_statistics("NAI_50mm_5min_rep2_20190412")186colnames = ['DMSO_20190412', 'NAI_100mm_10min_rep1_20190412', 'NAI_100mm_10min_rep2_20190412', 'NAI_100mm_5min_rep1_20190412', 'NAI_100mm_5min_rep2_20190412', 'NAI_50mm_10min_rep1_20190412', 'NAI_50mm_10min_rep2_20190412','NAI_50mm_5min_rep1_20190412','NAI_50mm_5min_rep2_20190412']187df = pd.DataFrame([DMSO_20190412,NAI_100mm_10min_rep1_20190412,NAI_100mm_10min_rep2_20190412,NAI_100mm_5min_rep1_20190412,NAI_100mm_5min_rep2_20190412,NAI_50mm_10min_rep1_20190412,NAI_50mm_10min_rep2_20190412,NAI_50mm_5min_rep1_20190412,NAI_50mm_5min_rep2_20190412], index=colnames, columns=rna_type_list)188df.to_csv("/Share/home/zhangqf7/figs/Pan.csv", sep="\t")189df_ratio = df.divide(df.sum(axis=1), axis='rows') 190df_ratio.to_csv("/Share/home/zhangqf7/figs/Pan_ratio.csv", sep="\t")191###############192#### 20190422 data193###############194DMSO_20190422 = get_statistics("DMSO_20190422")195NAI_100mm_10min_rep1_20190422 = get_statistics("NAI_100mm_10min_rep1_20190422")196NAI_100mm_10min_rep2_20190422 = get_statistics("NAI_100mm_10min_rep2_20190422")197NAI_100mm_5min_rep1_20190422 = get_statistics("NAI_100mm_5min_rep1_20190422")198NAI_100mm_5min_rep2_20190422 = get_statistics("NAI_100mm_5min_rep2_20190422")199NAI_50mm_10min_rep1_20190422 = get_statistics("NAI_50mm_10min_rep1_20190422")200NAI_50mm_10min_rep2_20190422 = get_statistics("NAI_50mm_10min_rep2_20190422")201NAI_50mm_5min_rep1_20190422 = get_statistics("NAI_50mm_5min_rep1_20190422")202NAI_50mm_5min_rep2_20190422 = get_statistics("NAI_50mm_5min_rep2_20190422")203samples = ['DMSO_20190422', 'NAI_100mm_10min_rep1_20190422', 'NAI_100mm_10min_rep2_20190422', 204            'NAI_100mm_5min_rep1_20190422', 'NAI_100mm_5min_rep2_20190422', 'NAI_50mm_10min_rep1_20190422', 205            'NAI_50mm_10min_rep2_20190422','NAI_50mm_5min_rep1_20190422','NAI_50mm_5min_rep2_20190422']206df = pd.DataFrame([eval(file) for file in samples], index=samples, columns=rna_type_list)207df.to_csv("/Share/home/zhangqf7/figs/Pan.csv", sep="\t")208df_ratio = df.divide(df.sum(axis=1), axis='rows') 209df_ratio.to_csv("/Share/home/zhangqf7/figs/Pan_ratio.csv", sep="\t")210###############211#### 20190606 data212###############213INPUT_rep1_20190606 = get_statistics("INPUT_rep1_20190606")214INPUT_rep2_20190606 = get_statistics("INPUT_rep2_20190606")215RIP_rep1_20190606 = get_statistics("RIP_rep1_20190606")216RIP_rep2_20190606 = get_statistics("RIP_rep2_20190606")217samples = ['INPUT_rep1_20190606', 'INPUT_rep2_20190606', 'RIP_rep1_20190606', 'RIP_rep1_20190606'] 218df = pd.DataFrame([eval(file) for file in samples], index=samples, columns=rna_type_list)219df.to_csv("/Share/home/zhangqf7/figs/Pan.csv", sep="\t")220df_ratio = df.divide(df.sum(axis=1), axis='rows') ...

dto_service_tests.py

Source:dto_service_tests.py

...19        self.__stud_repo.generate_students()20        self.__grade_repo.generate_grades()21        self.__service.create_medie_list()22        self.__service.sort_medii()23        self.assertGreaterEqual(self.__service.get_statistics(0).getMedie(),24                                self.__service.get_statistics(1).getMedie())25        self.assertGreaterEqual(self.__service.get_statistics(1).getMedie(),26                                self.__service.get_statistics(2).getMedie())27        self.assertGreaterEqual(self.__service.get_statistics(2).getMedie(),28                                self.__service.get_statistics(3).getMedie())29        self.assertGreaterEqual(self.__service.get_statistics(3).getMedie(),30                                self.__service.get_statistics(4).getMedie())31        self.assertGreaterEqual(self.__service.get_statistics(4).getMedie(),32                                self.__service.get_statistics(5).getMedie())33        self.assertGreaterEqual(self.__service.get_statistics(5).getMedie(),34                                self.__service.get_statistics(6).getMedie())35        self.assertGreaterEqual(self.__service.get_statistics(6).getMedie(),36                                self.__service.get_statistics(7).getMedie())37        self.assertGreaterEqual(self.__service.get_statistics(7).getMedie(),38                                self.__service.get_statistics(8).getMedie())39        self.assertGreaterEqual(self.__service.get_statistics(8).getMedie(),...

test_api.py

Source:test_api.py

...29        json=get_statistics30    )31    assert response.status_code == 40932@temp_db33def test_get_statistics(get_statistics):34    client.post(35        "/statistics/",36        json=get_statistics37    )38    response = client.get(39        "/statistics",40        params=get_statistics["date"]41    )42    assert response.status_code == 20043    assert response.json() == calculate_CPC_and_CPM([get_statistics])44@temp_db45def test_drop_statistics(get_statistics):46    client.post(47        "/statistics/",...

Automation Testing Tutorials

Learn to execute automation testing from scratch with LambdaTest Learning Hub. Right from setting up the prerequisites to run your first automation test, to following best practices and diving deeper into advanced test scenarios. LambdaTest Learning Hubs compile a list of step-by-step guides to help you be proficient with different test automation frameworks i.e. Selenium, Cypress, TestNG etc.