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Description
What happened?
In an ipython session
hl.init()
cd hail/hail/test/resources/
hl.import_vcf('mendel.vcf')
Version
0.2.136
Relevant log output
---------------------------------------------------------------------------
FatalError Traceback (most recent call last)
Cell In[5], line 1
----> 1 a = hl.import_vcf('./mendel.vcf')
File <decorator-gen-1698>:2, in import_vcf(path, force, force_bgz, header_file, min_partitions, drop_samples, call_fields, reference_genome, contig_recoding, array_elements_required, skip_invalid_loci, entry_float_type, filter, find_replace, n_partitions, block_size, _create_row_uids, _create_col_uids)
File ~/.local/src/hail/hail/python/hail/typecheck/check.py:584, in _make_dec.<locals>.wrapper(__original_func, *args, **kwargs)
581 @decorator
582 def wrapper(__original_func: Callable[..., T], *args, **kwargs) -> T:
583 args_, kwargs_ = check_all(__original_func, args, kwargs, checkers, is_method=is_method)
--> 584 return __original_func(*args_, **kwargs_)
File ~/.local/src/hail/hail/python/hail/methods/impex.py:3067, in import_vcf(path, force, force_bgz, header_file, min_partitions, drop_samples, call_fields, reference_genome, contig_recoding, array_elements_required, skip_invalid_loci, entry_float_type, filter, find_replace, n_partitions, block_size, _create_row_uids, _create_col_uids)
3044 hl.utils.warning(
3045 f'You are trying to read {path} with *ONE* core of parallelism. This '
3046 'will be very slow. If this file is block-gzipped (bgzip-ed), use '
3047 'force_bgz=True instead.'
3048 )
3050 reader = ir.MatrixVCFReader(
3051 path,
3052 call_fields,
(...)
3065 find_replace,
3066 )
-> 3067 return MatrixTable(
3068 ir.MatrixRead(
3069 reader, drop_cols=drop_samples, drop_row_uids=not _create_row_uids, drop_col_uids=not _create_col_uids
3070 )
3071 )
File ~/.local/src/hail/hail/python/hail/matrixtable.py:754, in MatrixTable.__init__(self, mir)
751 self._col_indices = Indices(self, {self._col_axis})
752 self._entry_indices = Indices(self, {self._row_axis, self._col_axis})
--> 754 self._type = self._mir.typ
756 self._global_type = self._type.global_type
757 self._col_type = self._type.col_type
File ~/.local/src/hail/hail/python/hail/ir/base_ir.py:494, in MatrixIR.typ(self)
491 @property
492 def typ(self):
493 if self._type is None:
--> 494 self.compute_type(deep_typecheck=False)
495 return self._type
File ~/.local/src/hail/hail/python/hail/ir/base_ir.py:485, in MatrixIR.compute_type(self, deep_typecheck)
483 def compute_type(self, deep_typecheck):
484 if deep_typecheck or self._type is None:
--> 485 computed = self._compute_type(deep_typecheck)
486 if self._type is not None:
487 assert self._type == computed
File ~/.local/src/hail/hail/python/hail/ir/matrix_ir.py:196, in MatrixRead._compute_type(self, deep_typecheck)
194 def _compute_type(self, deep_typecheck):
195 if self._type is None:
--> 196 return Env.backend().matrix_type(self)
197 else:
198 return self._type
File ~/.local/src/hail/hail/python/hail/backend/backend.py:259, in Backend.matrix_type(self, mir)
257 def matrix_type(self, mir):
258 payload = IRTypePayload(ir=self._render_ir(mir))
--> 259 type_bytes, _ = self._rpc(ActionTag.MATRIX_TABLE_TYPE, payload)
260 return tmatrix._from_json(orjson.loads(type_bytes))
File ~/.local/src/hail/hail/python/hail/backend/py4j_backend.py:280, in Py4JBackend._rpc(self, action, payload)
278 if resp.status_code >= 400:
279 error_json = orjson.loads(resp.content)
--> 280 raise fatal_error_from_java_error_triplet(
281 error_json['short'], error_json['expanded'], error_json['error_id']
282 )
284 return resp.content, parse_timings(resp.headers.get('X-Hail-Timings', None))
FatalError: HailException: arguments refer to no files: Vector(./mendel.vcf).
Java stack trace:
is.hail.utils.HailException: arguments refer to no files: Vector(./mendel.vcf).
at is.hail.utils.ErrorHandling.fatal(ErrorHandling.scala:19)
at is.hail.utils.ErrorHandling.fatal$(ErrorHandling.scala:19)
at is.hail.utils.package$.fatal(package.scala:110)
at is.hail.utils.package$.checkGzipOfGlobbedFiles(package.scala:176)
at is.hail.io.vcf.MatrixVCFReader$.apply(LoadVCF.scala:1790)
at is.hail.io.vcf.MatrixVCFReader$.fromJValue(LoadVCF.scala:1877)
at is.hail.expr.ir.MatrixReader$.fromJson(MatrixIR.scala:106)
at is.hail.expr.ir.IRParser$.matrix_ir_1(Parser.scala:1809)
at is.hail.expr.ir.IRParser$.$anonfun$matrix_ir$1(Parser.scala:1732)
at is.hail.utils.StackSafe$More.advance(StackSafe.scala:64)
at is.hail.utils.StackSafe$.run(StackSafe.scala:16)
at is.hail.utils.StackSafe$StackFrame.run(StackSafe.scala:32)
at is.hail.expr.ir.IRParser$.$anonfun$parse_matrix_ir$2(Parser.scala:2134)
at is.hail.expr.ir.IRParser$.parse(Parser.scala:2112)
at is.hail.expr.ir.IRParser$.$anonfun$parse_matrix_ir$1(Parser.scala:2134)
at is.hail.utils.ExecutionTimer.time(ExecutionTimer.scala:98)
at is.hail.backend.ExecuteContext.time(ExecuteContext.scala:170)
at is.hail.expr.ir.IRParser$.parse_matrix_ir(Parser.scala:2133)
at is.hail.backend.driver.BackendRpc.$anonfun$runRpc$1(BackendRpc.scala:87)
at is.hail.backend.ExecuteContext$.$anonfun$scoped$3(ExecuteContext.scala:94)
at is.hail.utils.package$.using(package.scala:718)
at is.hail.backend.ExecuteContext$.$anonfun$scoped$2(ExecuteContext.scala:94)
at is.hail.utils.package$.using(package.scala:718)
at is.hail.annotations.RegionPool.scopedRegion(RegionPool.scala:166)
at is.hail.backend.ExecuteContext$.$anonfun$scoped$1(ExecuteContext.scala:77)
at is.hail.utils.package$.using(package.scala:718)
at is.hail.annotations.RegionPool$.scoped(RegionPool.scala:13)
at is.hail.backend.ExecuteContext$.scoped(ExecuteContext.scala:76)
at is.hail.backend.driver.Py4JQueryDriver.$anonfun$withExecuteContext$1(Py4JQueryDriver.scala:340)
at is.hail.utils.ExecutionTimer$.time(ExecutionTimer.scala:15)
at is.hail.backend.driver.Py4JQueryDriver.is$hail$backend$driver$Py4JQueryDriver$$withExecuteContext(Py4JQueryDriver.scala:322)
at is.hail.backend.driver.Py4JQueryDriver$$anon$1$Context$.scoped(Py4JQueryDriver.scala:430)
at is.hail.backend.driver.Py4JQueryDriver$$anon$1$Context$.scoped(Py4JQueryDriver.scala:428)
at is.hail.backend.driver.BackendRpc.runRpc(BackendRpc.scala:80)
at is.hail.backend.driver.BackendRpc.runRpc$(BackendRpc.scala:76)
at is.hail.backend.driver.Py4JQueryDriver$$anon$1.runRpc(Py4JQueryDriver.scala:379)
at is.hail.backend.driver.Py4JQueryDriver$$anon$1.$anonfun$new$1(Py4JQueryDriver.scala:438)
at jdk.httpserver/com.sun.net.httpserver.Filter$Chain.doFilter(Filter.java:77)
at jdk.httpserver/sun.net.httpserver.AuthFilter.doFilter(AuthFilter.java:82)
at jdk.httpserver/com.sun.net.httpserver.Filter$Chain.doFilter(Filter.java:80)
at jdk.httpserver/sun.net.httpserver.ServerImpl$Exchange$LinkHandler.handle(ServerImpl.java:849)
at jdk.httpserver/com.sun.net.httpserver.Filter$Chain.doFilter(Filter.java:77)
at jdk.httpserver/sun.net.httpserver.ServerImpl$Exchange.run(ServerImpl.java:818)
at jdk.httpserver/sun.net.httpserver.ServerImpl$DefaultExecutor.execute(ServerImpl.java:201)
at jdk.httpserver/sun.net.httpserver.ServerImpl$Dispatcher.handle(ServerImpl.java:560)
at jdk.httpserver/sun.net.httpserver.ServerImpl$Dispatcher.run(ServerImpl.java:526)
at java.base/java.lang.Thread.run(Thread.java:834)
Hail version: 0.2.136-052c838641f0
Error summary: HailException: arguments refer to no files: Vector(./mendel.vcf).Reactions are currently unavailable