chore(deps): update dependency numpy to v1.24.2

CHANGELOG.md

@@ -2,19 +2,6 @@
 
 All notable changes to this project will be documented in this file. See [standard-version](https://github.com/conventional-changelog/standard-version) for commit guidelines.
 
-### [0.6.7](https://gitea.deepak.science:2222/physics/deepdog/compare/0.6.6...0.6.7) (2023-04-14)
-
-
-### Features
-
-* adds option to cap core count for real spectrum run ([bf15f4a](https://gitea.deepak.science:2222/physics/deepdog/commit/bf15f4a7b7f59504983624e7d512ed7474372032))
-* adds option to cap core count for temp aware run ([12903b2](https://gitea.deepak.science:2222/physics/deepdog/commit/12903b2540cefb040174d230bc0d04719a6dc1b7))
-
-
-### Bug Fixes
-
-* avoids redefinition of core count in loop ([1cf4454](https://gitea.deepak.science:2222/physics/deepdog/commit/1cf44541531541088198bd4599d467df3e1acbcf))
-
 ### [0.6.6](https://gitea.deepak.science:2222/physics/deepdog/compare/0.6.5...0.6.6) (2023-04-09)
 
 

deepdog/real_spectrum_run.py

@@ -88,7 +88,6 @@ class RealSpectrumRun:
 		chunksize: int = CHUNKSIZE,
 		initial_seed: int = 12345,
 		use_fast_filter: bool = True,
-		cap_core_count: int = 0,
 	) -> None:
 		self.measurements = measurements
 		self.dot_inputs = [(measure.r, measure.f) for measure in self.measurements]
@@ -124,8 +123,6 @@ class RealSpectrumRun:
 		self.filename = f"{timestamp}-{filename_slug}.realdata.{ff_string}.bayesrun.csv"
 		self.initial_seed = initial_seed
 
-		self.cap_core_count = cap_core_count
-
 	def go(self) -> None:
 		with open(self.filename, "a", newline="") as outfile:
 			writer = csv.DictWriter(outfile, fieldnames=self.csv_fields, dialect="unix")
@@ -143,14 +140,11 @@ class RealSpectrumRun:
 
 		results = []
 		_logger.debug("Going to iterate over models now")
-		core_count = multiprocessing.cpu_count() - 1 or 1
-		if (self.cap_core_count >= 1) and (self.cap_core_count < core_count):
-			core_count = self.cap_core_count
-		_logger.info(f"Using {core_count} cores")
 		for model_count, (model, model_name) in enumerate(
 			zip(self.models, self.model_names)
 		):
 			_logger.debug(f"Doing model #{model_count}: {model_name}")
+			core_count = multiprocessing.cpu_count() - 1 or 1
 			with multiprocessing.Pool(core_count) as pool:
 				cycle_count = 0
 				cycle_success = 0

deepdog/temp_aware_real_spectrum_run.py

@@ -90,7 +90,6 @@ class TempAwareRealSpectrumRun:
 		max_monte_carlo_cycles_steps: int = 10,
 		chunksize: int = CHUNKSIZE,
 		initial_seed: int = 12345,
-		cap_core_count: int = 0,
 	) -> None:
 		self.measurements_dict = measurements_dict
 		self.dot_inputs_dict = {
@@ -127,8 +126,6 @@ class TempAwareRealSpectrumRun:
 		self.filename = f"{timestamp}-{filename_slug}.realdata.{ff_string}.bayesrun.csv"
 		self.initial_seed = initial_seed
 
-		self.cap_core_count = cap_core_count
-
 	def go(self) -> None:
 		with open(self.filename, "a", newline="") as outfile:
 			writer = csv.DictWriter(outfile, fieldnames=self.csv_fields, dialect="unix")
@@ -149,14 +146,11 @@ class TempAwareRealSpectrumRun:
 
 		results = []
 		_logger.debug("Going to iterate over models now")
-		core_count = multiprocessing.cpu_count() - 1 or 1
-		if (self.cap_core_count >= 1) and (self.cap_core_count < core_count):
-			core_count = self.cap_core_count
-		_logger.info(f"Using {core_count} cores")
 		for model_count, (model, model_name) in enumerate(
 			zip(self.models, self.model_names)
 		):
 			_logger.debug(f"Doing model #{model_count}: {model_name}")
+			core_count = multiprocessing.cpu_count() - 1 or 1
 			with multiprocessing.Pool(core_count) as pool:
 				cycle_count = 0
 				cycle_success = 0

poetry.lock

@@ -336,7 +336,7 @@ python-versions = ">=3.5"
 
 [[package]]
 name = "numpy"
-version = "1.24.3"
+version = "1.24.2"
 description = "Fundamental package for array computing in Python"
 category = "main"
 optional = false
@@ -730,7 +730,7 @@ testing = ["pytest (>=6)", "pytest-checkdocs (>=2.4)", "flake8 (<5)", "pytest-co
 [metadata]
 lock-version = "1.1"
 python-versions = "^3.8,<3.10"
-content-hash = "46c94d4790cfa4680510e79ed4ff7f99c58a0859d8c66227b0fc420b7aefc098"
+content-hash = "59cd571f52cf70b61023d7eb1ea8e784bfcb87101e42f47b84f9c5fe764df666"
 
 [metadata.files]
 black = []

pyproject.toml

@@ -1,13 +1,13 @@
 [tool.poetry]
 name = "deepdog"
-version = "0.6.7"
+version = "0.6.6"
 description = ""
 authors = ["Deepak Mallubhotla <dmallubhotla+github@gmail.com>"]
 
 [tool.poetry.dependencies]
 python = "^3.8,<3.10"
 pdme = "^0.8.6"
-numpy = "1.24.3"
+numpy = "1.24.2"
 scipy = "1.10"
 
 [tool.poetry.dev-dependencies]