本文整理汇总了Python中pbcommand.models.report.Report.merge方法的典型用法代码示例。如果您正苦于以下问题：Python Report.merge方法的具体用法？Python Report.merge怎么用？Python Report.merge使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类pbcommand.models.report.Report的用法示例。
在下文中一共展示了Report.merge方法的6个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: test_merge
# 需要导入模块: from pbcommand.models.report import Report [as 别名]
# 或者: from pbcommand.models.report.Report import merge [as 别名]
def test_merge(self):
EXPECTED_VALUES = {
"n_reads": 300,
"n_zmws": 60,
}
NAMES = {
"n_reads": "Number of reads",
"n_zmws": "Number of ZMWs"
}
chunks = [
Report("pbcommand_test",
attributes=[
Attribute(id_="n_reads", value=50, name="Number of reads"),
Attribute(id_="n_zmws", value=10, name="Number of ZMWs")],
dataset_uuids=["12345"]),
Report("pbcommand_test",
attributes=[
Attribute(id_="n_reads", value=250, name="Number of reads"),
Attribute(id_="n_zmws", value=50, name="Number of ZMWs")]),
]
r = Report.merge(chunks)
self.assertEqual([a.id for a in r.attributes], ["n_reads", "n_zmws"])
self.assertEqual(r._dataset_uuids, ["12345"])
for attr in r.attributes:
self.assertEqual(attr.value, EXPECTED_VALUES[attr.id])
self.assertEqual(attr.name, NAMES[attr.id])
for table in r.tables:
for column in table.columns:
self.assertEqual(column.header, NAMES[column.id])示例2: test_merge_tables
# 需要导入模块: from pbcommand.models.report import Report [as 别名]
# 或者: from pbcommand.models.report.Report import merge [as 别名]
def test_merge_tables(self):
names = ["laa_report1.json", "laa_report2.json"]
r = Report.merge([_to_report(names[0]), _to_report(names[1])])
table = r.tables[0]
self.assertEqual(len(table.columns), 7)
self.assertEqual(
[col.header for col in table.columns],
[
"BarcodeName",
"FastaName",
"CoarseCluster",
"Phase",
"TotalCoverage",
"SequenceLength",
"PredictedAccuracy",
],
)
for col in table.columns:
self.assertEqual(len(col.values), 4)
if col.header == "BarcodeName":
self.assertEqual(col.values, ["Barcode1", "Barcode2", "Barcode4", "Barcode3"])
elif col.header == "FastaName":
self.assertEqual(col.values, ["BarcodeFasta1", "BarcodeFasta2", "BarcodeFasta4", "BarcodeFasta3"])
else:
self.assertEqual(col.values, [1, 2, 4, 3])示例3: gather_report
# 需要导入模块: from pbcommand.models.report import Report [as 别名]
# 或者: from pbcommand.models.report.Report import merge [as 别名]
def gather_report(json_files, output_file):
"""
Combines statistics (usually raw counts) stored as JSON files.
Data models: pbcommand.models.report
"""
reports = [ load_report_from_json(fn) for fn in json_files ]
merged = Report.merge(reports)
with open(output_file, "w") as writer:
writer.write(merged.to_json())
return output_file示例4: test_merge
# 需要导入模块: from pbcommand.models.report import Report [as 别名]
# 或者: from pbcommand.models.report.Report import merge [as 别名]
def test_merge(self):
r = Report.merge([
Report.from_simple_dict("pbcommand_test",
{"n_reads": 50, "n_zmws": 10},
"pbcommand"),
Report.from_simple_dict("pbcommand_test",
{"n_reads": 250, "n_zmws": 50},
"pbcommand")])
attr = {a.id: a.value for a in r.attributes}
self.assertEqual(attr['pbcommand_n_reads'], 300)
self.assertEqual(attr['pbcommand_n_zmws'], 60)示例5: test_merge_tables
# 需要导入模块: from pbcommand.models.report import Report [as 别名]
# 或者: from pbcommand.models.report.Report import merge [as 别名]
def test_merge_tables(self):
names = ['laa_report1.json', 'laa_report2.json']
r = Report.merge([_to_report(names[0]), _to_report(names[1])])
table = r.tables[0]
self.assertEqual(len(table.columns), 7)
self.assertEqual(
[col.header for col in table.columns],
['BarcodeName', 'FastaName', 'CoarseCluster', 'Phase',
'TotalCoverage', 'SequenceLength', 'PredictedAccuracy'])
for col in table.columns:
self.assertEqual(len(col.values), 4)
if col.header == 'BarcodeName':
self.assertEqual(
col.values,
['Barcode1', 'Barcode2', 'Barcode4', 'Barcode3'])
elif col.header == 'FastaName':
self.assertEqual(
col.values,
['BarcodeFasta1', 'BarcodeFasta2', 'BarcodeFasta4',
'BarcodeFasta3'])
else:
self.assertEqual(col.values, [1, 2, 4, 3])示例6: gather_report
# 需要导入模块: from pbcommand.models.report import Report [as 别名]
# 或者: from pbcommand.models.report.Report import merge [as 别名]
def gather_report(json_files, output_file):
"""
Combines statistics (usually raw counts) stored as JSON files.
Data models: pbcommand.models.report
"""
reports = [ load_report_from_json(fn) for fn in json_files ]
merged = Report.merge(reports)
total_num_flnc_bases = 0
total_num_flnc = 0
for r in reports:
attrs = {a.id:a.value for a in r.attributes}
num_flnc = attrs["num_flnc"]
num_flnc_bases = attrs["num_flnc_bases"]
total_num_flnc += num_flnc
total_num_flnc_bases += num_flnc_bases
if total_num_flnc > 0:
for a in merged.attributes:
if a.id == "avg_flnc_len":
# mimicking pbtranscript.io.Summary
a._value = int(total_num_flnc_bases / total_num_flnc)
log.info("Setting avg_flnc_len = {v}".format(v=a.value))
with open(output_file, "w") as writer:
writer.write(merged.to_json())
return output_file